238 skills found · Page 4 of 8
TsaiRongFu / AI AquaculturingThis project is developed for smart aquaculture. We use a camera to capture pictures of fishes in the tank. A deep neural network (MobileNet) is applied to recognize the images to identify the situation of fishes in the tank. EdgeTPU is used for edge computing. We also monitor the water quality by some environmental sensors. All the information is integrated into a website constructed by Laravel, and a Linebot is used to deliver information on mobile phones.Four undergraduate students develop this project from the Department of Management Information Systems (MIS), National Pingtung University of Science and Technology (NPUST), Taiwan.
acsicuib / FogServicePlacement ILPvsCNThese are the implementations of two service placement algorithms for fog computing in python 2.7. One is an ILP-based algorithm and the second one is based on the use of complex networks and graph partitions.
Jasper0068 / Brain Inspired AIThis repository aims to bridge the gap between artificial neural networks and biological brain mechanisms, fostering interdisciplinary research in cognitive computing, neuromorphic engineering, and biologically-inspired AI.
LeadingIndiaAI / Road Damage DetectionKeeping roads in a good condition is vital to safe driving. To monitor the degradation of road conditions is one of the important component in transportation maintenance which is labor intensive and requires domain expertise. Automatic detection of road damage is an important task in transportation maintenance for driving safety assurance. The intensity of damage and complexity of the background, makes this process a challenging task. A deep-learning based methodology for damage detection is proposed in this project after being inspired by recent success on applying Deep- learning in Computer Sciences. A dataset of 9,053 images is taken with the help of a low cost smart phone and a quantitative evaluation is conducted, which in turn demonstrates that the superior damage detection performance using deep-learning methods perform extremely well when compared with features extracted with existing hand-craft methods. Using convolutional neural networks to train the damage detection model with our dataset, we use the state-of-the-art object detection method, and compute the accuracy and runtime speed on a GPU server. At the end, we show that the type of damage can be distinguished into eight types with acceptable accuracy by applying the proposed object detection method.
neurosim / DNN NeuroSim V1.1Benchmark framework of compute-in-memory based accelerators for deep neural network (inference engine focused)
michealbalogun / Horizon DashboardCopyright 2012 United States Government as represented by the # Administrator of the National Aeronautics and Space Administration. # All Rights Reserved. # # Copyright 2012 Nebula, Inc. # # Licensed under the Apache License, Version 2.0 (the "License"); you may # not use this file except in compliance with the License. You may obtain # a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, WITHOUT # WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the # License for the specific language governing permissions and limitations # under the License. import glob import logging import os import sys import warnings from django.utils.translation import pgettext_lazy from django.utils.translation import ugettext_lazy as _ from horizon.utils.escape import monkeypatch_escape from openstack_dashboard import enabled from openstack_dashboard import exceptions from openstack_dashboard.local import enabled as local_enabled from openstack_dashboard import theme_settings from openstack_dashboard.utils import config from openstack_dashboard.utils import settings as settings_utils monkeypatch_escape() _LOG = logging.getLogger(__name__) warnings.formatwarning = lambda message, category, *args, **kwargs: \ '%s: %s' % (category.__name__, message) ROOT_PATH = os.path.dirname(os.path.abspath(__file__)) if ROOT_PATH not in sys.path: sys.path.append(ROOT_PATH) DEBUG = False SITE_BRANDING = 'OpenStack Dashboard' WEBROOT = '/' LOGIN_URL = None LOGOUT_URL = None LOGIN_ERROR = None LOGIN_REDIRECT_URL = None MEDIA_ROOT = None MEDIA_URL = None STATIC_ROOT = None STATIC_URL = None SELECTABLE_THEMES = None INTEGRATION_TESTS_SUPPORT = False NG_TEMPLATE_CACHE_AGE = 2592000 ROOT_URLCONF = 'openstack_dashboard.urls' HORIZON_CONFIG = { 'user_home': 'openstack_dashboard.views.get_user_home', 'ajax_queue_limit': 10, 'auto_fade_alerts': { 'delay': 3000, 'fade_duration': 1500, 'types': ['alert-success', 'alert-info'] }, 'bug_url': None, 'help_url': "https://docs.openstack.org/", 'exceptions': {'recoverable': exceptions.RECOVERABLE, 'not_found': exceptions.NOT_FOUND, 'unauthorized': exceptions.UNAUTHORIZED}, 'modal_backdrop': 'static', 'angular_modules': [], 'js_files': [], 'js_spec_files': [], 'external_templates': [], 'plugins': [], 'integration_tests_support': INTEGRATION_TESTS_SUPPORT } # The OPENSTACK_IMAGE_BACKEND settings can be used to customize features # in the OpenStack Dashboard related to the Image service, such as the list # of supported image formats. OPENSTACK_IMAGE_BACKEND = { 'image_formats': [ ('', _('Select format')), ('aki', _('AKI - Amazon Kernel Image')), ('ami', _('AMI - Amazon Machine Image')), ('ari', _('ARI - Amazon Ramdisk Image')), ('docker', _('Docker')), ('iso', _('ISO - Optical Disk Image')), ('ova', _('OVA - Open Virtual Appliance')), ('ploop', _('PLOOP - Virtuozzo/Parallels Loopback Disk')), ('qcow2', _('QCOW2 - QEMU Emulator')), ('raw', _('Raw')), ('vdi', _('VDI - Virtual Disk Image')), ('vhd', _('VHD - Virtual Hard Disk')), ('vhdx', _('VHDX - Large Virtual Hard Disk')), ('vmdk', _('VMDK - Virtual Machine Disk')), ] } MIDDLEWARE = ( 'openstack_auth.middleware.OpenstackAuthMonkeyPatchMiddleware', 'debreach.middleware.RandomCommentMiddleware', 'django.middleware.common.CommonMiddleware', 'django.middleware.csrf.CsrfViewMiddleware', 'django.contrib.sessions.middleware.SessionMiddleware', 'django.contrib.auth.middleware.AuthenticationMiddleware', 'horizon.middleware.OperationLogMiddleware', 'django.contrib.messages.middleware.MessageMiddleware', 'horizon.middleware.HorizonMiddleware', 'horizon.themes.ThemeMiddleware', 'django.middleware.locale.LocaleMiddleware', 'django.middleware.clickjacking.XFrameOptionsMiddleware', 'openstack_dashboard.contrib.developer.profiler.middleware.' 'ProfilerClientMiddleware', 'openstack_dashboard.contrib.developer.profiler.middleware.' 'ProfilerMiddleware', ) CACHED_TEMPLATE_LOADERS = [ 'django.template.loaders.filesystem.Loader', 'django.template.loaders.app_directories.Loader', 'horizon.loaders.TemplateLoader' ] ADD_TEMPLATE_LOADERS = [] ADD_TEMPLATE_DIRS = [] TEMPLATES = [ { 'BACKEND': 'django.template.backends.django.DjangoTemplates', 'DIRS': [os.path.join(ROOT_PATH, 'templates')], 'OPTIONS': { 'context_processors': [ 'django.template.context_processors.debug', 'django.template.context_processors.i18n', 'django.template.context_processors.request', 'django.template.context_processors.media', 'django.template.context_processors.static', 'django.contrib.messages.context_processors.messages', 'horizon.context_processors.horizon', 'openstack_dashboard.context_processors.openstack', ], 'loaders': [ 'horizon.themes.ThemeTemplateLoader' ], }, }, ] STATICFILES_FINDERS = ( 'django.contrib.staticfiles.finders.FileSystemFinder', 'horizon.contrib.staticfiles.finders.HorizonStaticFinder', 'compressor.finders.CompressorFinder', ) COMPRESS_PRECOMPILERS = ( ('text/scss', 'horizon.utils.scss_filter.HorizonScssFilter'), ) COMPRESS_CSS_FILTERS = ( 'compressor.filters.css_default.CssAbsoluteFilter', ) COMPRESS_ENABLED = True COMPRESS_OUTPUT_DIR = 'dashboard' COMPRESS_CSS_HASHING_METHOD = 'hash' COMPRESS_PARSER = 'compressor.parser.HtmlParser' INSTALLED_APPS = [ 'openstack_dashboard', 'django.contrib.contenttypes', 'django.contrib.auth', 'django.contrib.sessions', 'django.contrib.messages', 'django.contrib.staticfiles', 'django.contrib.humanize', 'django_pyscss', 'debreach', 'openstack_dashboard.django_pyscss_fix', 'compressor', 'horizon', 'openstack_auth', ] AUTHENTICATION_BACKENDS = ('openstack_auth.backend.KeystoneBackend',) AUTHENTICATION_URLS = ['openstack_auth.urls'] AUTH_USER_MODEL = 'openstack_auth.User' MESSAGE_STORAGE = 'django.contrib.messages.storage.fallback.FallbackStorage' SESSION_ENGINE = 'django.contrib.sessions.backends.cache' CACHES = { 'default': { 'BACKEND': 'django.core.cache.backends.memcached.MemcachedCache', 'LOCATION': '127.0.0.1:11211', }, } SESSION_COOKIE_HTTPONLY = True SESSION_EXPIRE_AT_BROWSER_CLOSE = True SESSION_COOKIE_SECURE = False # Control whether the SESSION_TIMEOUT period is refreshed due to activity. If # False, SESSION_TIMEOUT acts as a hard limit. SESSION_REFRESH = True # This SESSION_TIMEOUT is a method to supercede the token timeout with a # shorter horizon session timeout (in seconds). If SESSION_REFRESH is True (the # default) SESSION_TIMEOUT acts like an idle timeout rather than being a hard # limit, but will never exceed the token expiry. If your token expires in 60 # minutes, a value of 1800 will log users out after 30 minutes of inactivity, # or 60 minutes with activity. Setting SESSION_REFRESH to False will make # SESSION_TIMEOUT act like a hard limit on session times. SESSION_TIMEOUT = 3600 # When using cookie-based sessions, log error when the session cookie exceeds # the following size (common browsers drop cookies above a certain size): SESSION_COOKIE_MAX_SIZE = 4093 # when doing upgrades, it may be wise to stick to PickleSerializer # NOTE(berendt): Check during the K-cycle if this variable can be removed. # https://bugs.launchpad.net/horizon/+bug/1349463 SESSION_SERIALIZER = 'django.contrib.sessions.serializers.PickleSerializer' # MEMOIZED_MAX_SIZE_DEFAULT allows setting a global default to help control # memory usage when caching. It should at least be 2 x the number of threads # with a little bit of extra buffer. MEMOIZED_MAX_SIZE_DEFAULT = 25 CSRF_FAILURE_VIEW = 'openstack_dashboard.views.csrf_failure' LANGUAGES = ( ('cs', 'Czech'), ('de', 'German'), ('en', 'English'), ('en-au', 'Australian English'), ('en-gb', 'British English'), ('eo', 'Esperanto'), ('es', 'Spanish'), ('fr', 'French'), ('id', 'Indonesian'), ('it', 'Italian'), ('ja', 'Japanese'), ('ko', 'Korean (Korea)'), ('pl', 'Polish'), ('pt-br', 'Portuguese (Brazil)'), ('ru', 'Russian'), ('tr', 'Turkish'), ('zh-cn', 'Simplified Chinese'), ('zh-tw', 'Chinese (Taiwan)'), ) LANGUAGE_CODE = 'en' LANGUAGE_COOKIE_NAME = 'horizon_language' USE_I18N = True USE_L10N = True USE_TZ = True # Set OPENSTACK_CLOUDS_YAML_NAME to provide a nicer name for this cloud for # the clouds.yaml file than "openstack". OPENSTACK_CLOUDS_YAML_NAME = 'openstack' # If this cloud has a vendor profile in os-client-config, put it's name here. OPENSTACK_CLOUDS_YAML_PROFILE = '' OPENSTACK_KEYSTONE_DEFAULT_ROLE = '_member_' DEFAULT_EXCEPTION_REPORTER_FILTER = 'horizon.exceptions.HorizonReporterFilter' POLICY_FILES_PATH = os.path.join(ROOT_PATH, "conf") # Map of local copy of service policy files POLICY_FILES = { 'identity': 'keystone_policy.json', 'compute': 'nova_policy.json', 'volume': 'cinder_policy.json', 'image': 'glance_policy.json', 'network': 'neutron_policy.json', } # Services for which horizon has extra policies are defined # in POLICY_DIRS by default. POLICY_DIRS = { 'compute': ['nova_policy.d'], 'volume': ['cinder_policy.d'], } SECRET_KEY = None LOCAL_PATH = None SECURITY_GROUP_RULES = { 'all_tcp': { 'name': _('All TCP'), 'ip_protocol': 'tcp', 'from_port': '1', 'to_port': '65535', }, 'all_udp': { 'name': _('All UDP'), 'ip_protocol': 'udp', 'from_port': '1', 'to_port': '65535', }, 'all_icmp': { 'name': _('All ICMP'), 'ip_protocol': 'icmp', 'from_port': '-1', 'to_port': '-1', }, } ADD_INSTALLED_APPS = [] # NOTE: The default value of USER_MENU_LINKS will be set after loading # local_settings if it is not configured. USER_MENU_LINKS = None # 'key', 'label', 'path' AVAILABLE_THEMES = [ ( 'default', pgettext_lazy('Default style theme', 'Default'), 'themes/default' ), ( 'material', pgettext_lazy("Google's Material Design style theme", "Material"), 'themes/material' ), ] # The default theme if no cookie is present DEFAULT_THEME = 'default' # Theme Static Directory THEME_COLLECTION_DIR = 'themes' # Theme Cookie Name THEME_COOKIE_NAME = 'theme' POLICY_CHECK_FUNCTION = 'openstack_auth.policy.check' CSRF_COOKIE_AGE = None COMPRESS_OFFLINE_CONTEXT = 'horizon.themes.offline_context' SHOW_KEYSTONE_V2_RC = False SHOW_OPENRC_FILE = True SHOW_OPENSTACK_CLOUDS_YAML = True # Dictionary of currently available angular features ANGULAR_FEATURES = { 'images_panel': True, 'key_pairs_panel': True, 'flavors_panel': False, 'domains_panel': False, 'users_panel': False, 'groups_panel': False, 'roles_panel': True } # Notice all customizable configurations should be above this line XSTATIC_MODULES = settings_utils.BASE_XSTATIC_MODULES OPENSTACK_PROFILER = { 'enabled': False } if not LOCAL_PATH: LOCAL_PATH = os.path.join(ROOT_PATH, 'local') LOCAL_SETTINGS_DIR_PATH = os.path.join(LOCAL_PATH, "local_settings.d") _files = glob.glob(os.path.join(LOCAL_PATH, 'local_settings.conf')) _files.extend( sorted(glob.glob(os.path.join(LOCAL_SETTINGS_DIR_PATH, '*.conf')))) _config = config.load_config(_files, ROOT_PATH, LOCAL_PATH) # Apply the general configuration. config.apply_config(_config, globals()) try: from local.local_settings import * # noqa: F403,H303 except ImportError: _LOG.warning("No local_settings file found.") # configure templates if not TEMPLATES[0]['DIRS']: TEMPLATES[0]['DIRS'] = [os.path.join(ROOT_PATH, 'templates')] TEMPLATES[0]['DIRS'] += ADD_TEMPLATE_DIRS # configure template debugging TEMPLATES[0]['OPTIONS']['debug'] = DEBUG # Template loaders if DEBUG: TEMPLATES[0]['OPTIONS']['loaders'].extend( CACHED_TEMPLATE_LOADERS + ADD_TEMPLATE_LOADERS ) else: TEMPLATES[0]['OPTIONS']['loaders'].extend( [('django.template.loaders.cached.Loader', CACHED_TEMPLATE_LOADERS)] + ADD_TEMPLATE_LOADERS ) # allow to drop settings snippets into a local_settings_dir LOCAL_SETTINGS_DIR_PATH = os.path.join(ROOT_PATH, "local", "local_settings.d") if os.path.exists(LOCAL_SETTINGS_DIR_PATH): for (dirpath, dirnames, filenames) in os.walk(LOCAL_SETTINGS_DIR_PATH): for filename in sorted(filenames): if filename.endswith(".py"): try: with open(os.path.join(dirpath, filename)) as f: # pylint: disable=exec-used exec(f.read()) except Exception as e: _LOG.exception( "Can not exec settings snippet %s", filename) # The purpose of OPENSTACK_IMAGE_FORMATS is to provide a simple object # that does not contain the lazy-loaded translations, so the list can # be sent as JSON to the client-side (Angular). OPENSTACK_IMAGE_FORMATS = [fmt for (fmt, name) in OPENSTACK_IMAGE_BACKEND['image_formats']] if USER_MENU_LINKS is None: USER_MENU_LINKS = [] if SHOW_KEYSTONE_V2_RC: USER_MENU_LINKS.append({ 'name': _('OpenStack RC File v2'), 'icon_classes': ['fa-download', ], 'url': 'horizon:project:api_access:openrcv2', }) if SHOW_OPENRC_FILE: USER_MENU_LINKS.append({ 'name': (_('OpenStack RC File v3') if SHOW_KEYSTONE_V2_RC else _('OpenStack RC File')), 'icon_classes': ['fa-download', ], 'url': 'horizon:project:api_access:openrc', }) if not WEBROOT.endswith('/'): WEBROOT += '/' if LOGIN_URL is None: LOGIN_URL = WEBROOT + 'auth/login/' if LOGOUT_URL is None: LOGOUT_URL = WEBROOT + 'auth/logout/' if LOGIN_ERROR is None: LOGIN_ERROR = WEBROOT + 'auth/error/' if LOGIN_REDIRECT_URL is None: LOGIN_REDIRECT_URL = WEBROOT if MEDIA_ROOT is None: MEDIA_ROOT = os.path.abspath(os.path.join(ROOT_PATH, '..', 'media')) if MEDIA_URL is None: MEDIA_URL = WEBROOT + 'media/' if STATIC_ROOT is None: STATIC_ROOT = os.path.abspath(os.path.join(ROOT_PATH, '..', 'static')) if STATIC_URL is None: STATIC_URL = WEBROOT + 'static/' AVAILABLE_THEMES, SELECTABLE_THEMES, DEFAULT_THEME = ( theme_settings.get_available_themes( AVAILABLE_THEMES, DEFAULT_THEME, SELECTABLE_THEMES ) ) # Discover all the directories that contain static files STATICFILES_DIRS = theme_settings.get_theme_static_dirs( AVAILABLE_THEMES, THEME_COLLECTION_DIR, ROOT_PATH) # Ensure that we always have a SECRET_KEY set, even when no local_settings.py # file is present. See local_settings.py.example for full documentation on the # horizon.utils.secret_key module and its use. if not SECRET_KEY: if not LOCAL_PATH: LOCAL_PATH = os.path.join(os.path.dirname(os.path.abspath(__file__)), 'local') # pylint: disable=ungrouped-imports from horizon.utils import secret_key SECRET_KEY = secret_key.generate_or_read_from_file(os.path.join(LOCAL_PATH, '.secret_key_store')) # populate HORIZON_CONFIG with auto-discovered JavaScript sources, mock files, # specs files and external templates. settings_utils.find_static_files(HORIZON_CONFIG, AVAILABLE_THEMES, THEME_COLLECTION_DIR, ROOT_PATH) INSTALLED_APPS = list(INSTALLED_APPS) # Make sure it's mutable settings_utils.update_dashboards( [ enabled, local_enabled, ], HORIZON_CONFIG, INSTALLED_APPS, ) INSTALLED_APPS[0:0] = ADD_INSTALLED_APPS NG_TEMPLATE_CACHE_AGE = NG_TEMPLATE_CACHE_AGE if not DEBUG else 0 # Include xstatic_modules specified in plugin XSTATIC_MODULES += HORIZON_CONFIG['xstatic_modules'] # Discover all the xstatic module entry points to embed in our HTML STATICFILES_DIRS += settings_utils.get_xstatic_dirs( XSTATIC_MODULES, HORIZON_CONFIG) # This base context objects gets added to the offline context generator # for each theme configured. HORIZON_COMPRESS_OFFLINE_CONTEXT_BASE = { 'WEBROOT': WEBROOT, 'STATIC_URL': STATIC_URL, 'HORIZON_CONFIG': HORIZON_CONFIG, 'NG_TEMPLATE_CACHE_AGE': NG_TEMPLATE_CACHE_AGE, } if DEBUG: logging.basicConfig(level=logging.DEBUG) # Here comes the Django settings deprecation section. Being at the very end # of settings.py allows it to catch the settings defined in local_settings.py # or inside one of local_settings.d/ snippets.
qinzheng93 / CNN CalculatorA simple calculator for computing the number of parameters and FLOPs in convolutional neural networks with PyTorch-like APIs.
JinkunZhang / Joint Routing And Computation 2022Joint routing and computation scheduling in collaborative edge computing for heterogeneous network with arbitrary topology
open-photonics / Lightning Lts[Long Term Support] [SIGCOMM 2023] Lightning: A Reconfigurable Photonic-Electronic SmartNIC for Fast and Energy-Efficient Inference
microsoft / CSPARMPricingCalculatorThis repository contains the source code of the tool: CSPARMPricingCalculator. The tool can be used to estimate the cost of hosting the resources defined in an ARM template in an Azure CSP subscription. It has been built as a sample and currently supports Virtual machines and its components including compute hours, storage, network, public ip and software costs. The idea is to help CSP partners who are performing integration by providing the tool and source code to assist them to incorporate this feature at their end.
majidsina / DrlDeep Reinforcement Learning for Offloading and Resource Allocation in Vehicle Edge Computing and Networks
alsaniie / Understanding Activation Functions In Neural NetworksActivation functions are functions used in a neural network to compute the weighted sum of inputs and biases, which is in turn used to decide whether a neuron can be activated or not.
Greak-1124 / LMFFNetReal-time semantic segmentation is widely used in the field of autonomous driving and robotics. Most previous networks achieved great accuracy based on a complicated model involving mass computing. The existing lightweight networks generally reduce the parameter sizes by sacrificing the segmentation accuracy. It is critical to balance the parameters and accuracy for real-time semantic segmentation tasks. In this paper, we introduce a Lightweight-Multiscale-Feature-Fusion Network (LMFFNet) mainly composed of three types of components: Split-Extract-Merge Bottleneck (SEM-B) block, Features Fusion Module (FFM), and Multiscale Attention Decoder (MAD). The SEM-B block extracts sufficient features with fewer parameters. FFMs fuse multiscale semantic features to effectively improve the segmentation accuracy. The MAD well recovers the details of the input images through the attention mechanism. Two networks combined with different components are proposed based on the LMFFNet model. Without pretraining, the smaller network of LMFFNet-S achieves 72.7% mIoU on Cityscapes test set at the 512×1024 resolution with only 1.1 M parameters at a reference speed of 98.9 fps running on a GTX1080Ti GPU while the larger version of LMFFNet-L achieves 74.7% mIoU with 1.4 M parameters at 89.6 fps. Besides, 67.7% mIoU at 208.9 fps and 70.3% mIoU at 72.4 fps are respectively achieved for 360 × 480 and 720 × 960 resolutions on CamVid test set using LMFFNet-S while LMFFNet--L achieves 68.1% mIoU at 182.9 fps and 71.0% mIoU at 66.5 fps, correspondingly. The proposed LMFFNets make an adequate trade-off between accuracy and parameter size for real-time inference for semantic segmentation tasks.
denman2328 / Help------------------ System Information ------------------ Time of this report: 8/10/2013, 08:36:20 Machine name: BRYCE-PC Operating System: Windows 8 Pro 64-bit (6.2, Build 9200) (9200.win8_rtm.120725-1247) Language: English (Regional Setting: English) System Manufacturer: To Be Filled By O.E.M. System Model: To Be Filled By O.E.M. BIOS: BIOS Date: 04/13/12 20:22:30 Ver: 04.06.05 Processor: Intel(R) Core(TM) i5-3570K CPU @ 3.40GHz (4 CPUs), ~3.4GHz Memory: 8192MB RAM Available OS Memory: 8086MB RAM Page File: 4736MB used, 11541MB available Windows Dir: C:\WINDOWS DirectX Version: DirectX 11 DX Setup Parameters: Not found User DPI Setting: Using System DPI System DPI Setting: 96 DPI (100 percent) DWM DPI Scaling: Disabled DxDiag Version: 6.02.9200.16384 64bit Unicode ------------ DxDiag Notes ------------ Display Tab 1: No problems found. Display Tab 2: No problems found. Sound Tab 1: No problems found. Sound Tab 2: No problems found. Sound Tab 3: No problems found. Input Tab: No problems found. -------------------- DirectX Debug Levels -------------------- Direct3D: 0/4 (retail) DirectDraw: 0/4 (retail) DirectInput: 0/5 (retail) DirectMusic: 0/5 (retail) DirectPlay: 0/9 (retail) DirectSound: 0/5 (retail) DirectShow: 0/6 (retail) --------------- Display Devices --------------- Card name: NVIDIA GeForce GTX 670 Manufacturer: NVIDIA Chip type: GeForce GTX 670 DAC type: Integrated RAMDAC Device Type: Full Device Device Key: Enum\PCI\VEN_10DE&DEV_1189&SUBSYS_355A1458&REV_A1 Display Memory: 7823 MB Dedicated Memory: 4036 MB Shared Memory: 3787 MB Current Mode: 1920 x 1080 (32 bit) (60Hz) Monitor Name: Acer X233H Monitor Model: Acer X233H Monitor Id: ACR0093 Native Mode: 1920 x 1080(p) (60.000Hz) Output Type: DVI Driver Name: nvd3dumx.dll,nvwgf2umx.dll,nvwgf2umx.dll,nvd3dum,nvwgf2um,nvwgf2um Driver File Version: 9.18.0013.1106 (English) Driver Version: 9.18.13.1106 DDI Version: 11 Feature Levels: 11.0,10.1,10.0,9.3,9.2,9.1 Driver Model: WDDM 1.2 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{5A54A0C9-C7EC-4BD9-8EDE-F3C75DC4393B}: Format(In/Out)=(YUY2,YUY2) Frames(Prev/Fwd/Back)=(0,0,0) Caps=VideoProcess_YUV2RGB VideoProcess_StretchX VideoProcess_StretchY {335AA36E-7884-43A4-9C91-7F87FAF3E37E}: Format(In/Out)=(YUY2,YUY2) Frames(Prev/Fwd/Back)=(0,0,0) Caps=VideoProcess_YUV2RGB VideoProcess_StretchX VideoProcess_StretchY DeinterlaceTech_BOBVerticalStretch {6CB69578-7617-4637-91E5-1C02DB810285}: Format(In/Out)=(UYVY,UYVY) Frames(Prev/Fwd/Back)=(0,0,0) Caps=VideoProcess_YUV2RGB VideoProcess_StretchX VideoProcess_StretchY DeinterlaceTech_PixelAdaptive {F9F19DA5-3B09-4B2F-9D89-C64753E3EAAB}: Format(In/Out)=(UYVY,UYVY) Frames(Prev/Fwd/Back)=(0,0,0) Caps=VideoProcess_YUV2RGB VideoProcess_StretchX VideoProcess_StretchY {5A54A0C9-C7EC-4BD9-8EDE-F3C75DC4393B}: Format(In/Out)=(UYVY,UYVY) Frames(Prev/Fwd/Back)=(0,0,0) Caps=VideoProcess_YUV2RGB VideoProcess_StretchX VideoProcess_StretchY {335AA36E-7884-43A4-9C91-7F87FAF3E37E}: Format(In/Out)=(UYVY,UYVY) Frames(Prev/Fwd/Back)=(0,0,0) Caps=VideoProcess_YUV2RGB VideoProcess_StretchX VideoProcess_StretchY DeinterlaceTech_BOBVerticalStretch {6CB69578-7617-4637-91E5-1C02DB810285}: Format(In/Out)=(YV12,0x32315659) Frames(Prev/Fwd/Back)=(0,0,0) Caps=VideoProcess_YUV2RGB VideoProcess_StretchX VideoProcess_StretchY DeinterlaceTech_PixelAdaptive {F9F19DA5-3B09-4B2F-9D89-C64753E3EAAB}: Format(In/Out)=(YV12,0x32315659) Frames(Prev/Fwd/Back)=(0,0,0) Caps=VideoProcess_YUV2RGB VideoProcess_StretchX VideoProcess_StretchY {5A54A0C9-C7EC-4BD9-8EDE-F3C75DC4393B}: Format(In/Out)=(YV12,0x32315659) Frames(Prev/Fwd/Back)=(0,0,0) Caps=VideoProcess_YUV2RGB VideoProcess_StretchX VideoProcess_StretchY {335AA36E-7884-43A4-9C91-7F87FAF3E37E}: Format(In/Out)=(YV12,0x32315659) Frames(Prev/Fwd/Back)=(0,0,0) Caps=VideoProcess_YUV2RGB VideoProcess_StretchX VideoProcess_StretchY DeinterlaceTech_BOBVerticalStretch {6CB69578-7617-4637-91E5-1C02DB810285}: Format(In/Out)=(NV12,0x3231564e) Frames(Prev/Fwd/Back)=(0,0,0) Caps=VideoProcess_YUV2RGB VideoProcess_StretchX VideoProcess_StretchY DeinterlaceTech_PixelAdaptive {F9F19DA5-3B09-4B2F-9D89-C64753E3EAAB}: Format(In/Out)=(NV12,0x3231564e) Frames(Prev/Fwd/Back)=(0,0,0) Caps=VideoProcess_YUV2RGB VideoProcess_StretchX VideoProcess_StretchY {5A54A0C9-C7EC-4BD9-8EDE-F3C75DC4393B}: Format(In/Out)=(NV12,0x3231564e) Frames(Prev/Fwd/Back)=(0,0,0) Caps=VideoProcess_YUV2RGB VideoProcess_StretchX VideoProcess_StretchY {335AA36E-7884-43A4-9C91-7F87FAF3E37E}: Format(In/Out)=(NV12,0x3231564e) Frames(Prev/Fwd/Back)=(0,0,0) Caps=VideoProcess_YUV2RGB VideoProcess_StretchX VideoProcess_StretchY DeinterlaceTech_BOBVerticalStretch {6CB69578-7617-4637-91E5-1C02DB810285}: Format(In/Out)=(IMC1,UNKNOWN) Frames(Prev/Fwd/Back)=(0,0,0) Caps= {F9F19DA5-3B09-4B2F-9D89-C64753E3EAAB}: Format(In/Out)=(IMC1,UNKNOWN) Frames(Prev/Fwd/Back)=(0,0,0) Caps= {5A54A0C9-C7EC-4BD9-8EDE-F3C75DC4393B}: Format(In/Out)=(IMC1,UNKNOWN) Frames(Prev/Fwd/Back)=(0,0,0) Caps= {335AA36E-7884-43A4-9C91-7F87FAF3E37E}: Format(In/Out)=(IMC1,UNKNOWN) Frames(Prev/Fwd/Back)=(0,0,0) Caps= {6CB69578-7617-4637-91E5-1C02DB810285}: Format(In/Out)=(IMC2,UNKNOWN) Frames(Prev/Fwd/Back)=(0,0,0) Caps= {F9F19DA5-3B09-4B2F-9D89-C64753E3EAAB}: Format(In/Out)=(IMC2,UNKNOWN) Frames(Prev/Fwd/Back)=(0,0,0) Caps= {5A54A0C9-C7EC-4BD9-8EDE-F3C75DC4393B}: Format(In/Out)=(IMC2,UNKNOWN) Frames(Prev/Fwd/Back)=(0,0,0) Caps= {335AA36E-7884-43A4-9C91-7F87FAF3E37E}: Format(In/Out)=(IMC2,UNKNOWN) Frames(Prev/Fwd/Back)=(0,0,0) Caps= {6CB69578-7617-4637-91E5-1C02DB810285}: Format(In/Out)=(IMC3,UNKNOWN) Frames(Prev/Fwd/Back)=(0,0,0) Caps= {F9F19DA5-3B09-4B2F-9D89-C64753E3EAAB}: Format(In/Out)=(IMC3,UNKNOWN) Frames(Prev/Fwd/Back)=(0,0,0) Caps= {5A54A0C9-C7EC-4BD9-8EDE-F3C75DC4393B}: Format(In/Out)=(IMC3,UNKNOWN) Frames(Prev/Fwd/Back)=(0,0,0) Caps= {335AA36E-7884-43A4-9C91-7F87FAF3E37E}: Format(In/Out)=(IMC3,UNKNOWN) Frames(Prev/Fwd/Back)=(0,0,0) Caps= {6CB69578-7617-4637-91E5-1C02DB810285}: Format(In/Out)=(IMC4,UNKNOWN) Frames(Prev/Fwd/Back)=(0,0,0) Caps= {F9F19DA5-3B09-4B2F-9D89-C64753E3EAAB}: Format(In/Out)=(IMC4,UNKNOWN) Frames(Prev/Fwd/Back)=(0,0,0) Caps= {5A54A0C9-C7EC-4BD9-8EDE-F3C75DC4393B}: Format(In/Out)=(IMC4,UNKNOWN) Frames(Prev/Fwd/Back)=(0,0,0) Caps= {335AA36E-7884-43A4-9C91-7F87FAF3E37E}: Format(In/Out)=(IMC4,UNKNOWN) Frames(Prev/Fwd/Back)=(0,0,0) Caps= {6CB69578-7617-4637-91E5-1C02DB810285}: Format(In/Out)=(S340,UNKNOWN) Frames(Prev/Fwd/Back)=(0,0,0) Caps= {F9F19DA5-3B09-4B2F-9D89-C64753E3EAAB}: Format(In/Out)=(S340,UNKNOWN) Frames(Prev/Fwd/Back)=(0,0,0) Caps= {5A54A0C9-C7EC-4BD9-8EDE-F3C75DC4393B}: Format(In/Out)=(S340,UNKNOWN) Frames(Prev/Fwd/Back)=(0,0,0) Caps= {335AA36E-7884-43A4-9C91-7F87FAF3E37E}: Format(In/Out)=(S340,UNKNOWN) Frames(Prev/Fwd/Back)=(0,0,0) Caps= {6CB69578-7617-4637-91E5-1C02DB810285}: Format(In/Out)=(S342,UNKNOWN) Frames(Prev/Fwd/Back)=(0,0,0) Caps= {F9F19DA5-3B09-4B2F-9D89-C64753E3EAAB}: Format(In/Out)=(S342,UNKNOWN) Frames(Prev/Fwd/Back)=(0,0,0) Caps= {5A54A0C9-C7EC-4BD9-8EDE-F3C75DC4393B}: Format(In/Out)=(S342,UNKNOWN) Frames(Prev/Fwd/Back)=(0,0,0) Caps= {335AA36E-7884-43A4-9C91-7F87FAF3E37E}: Format(In/Out)=(S342,UNKNOWN) Frames(Prev/Fwd/Back)=(0,0,0) Caps= D3D9 Overlay: Supported DXVA-HD: Supported DDraw Status: Enabled D3D Status: Enabled AGP Status: Enabled Card name: Intel(R) HD Graphics 4000 Manufacturer: Intel Corporation Chip type: Intel(R) HD Graphics Family DAC type: Internal Device Type: Full Device Device Key: Enum\PCI\VEN_8086&DEV_0162&SUBSYS_01621849&REV_09 Display Memory: 1664 MB Dedicated Memory: 32 MB Shared Memory: 1632 MB Current Mode: 1920 x 1080 (32 bit) (59Hz) Monitor Name: SyncMaster 2233SW,SyncMaster Magic CX2233SW(Analog) Monitor Model: SyncMaster Monitor Id: SAM049A Native Mode: 1920 x 1080(p) (59.934Hz) Output Type: HD15 Driver Name: igdumd64.dll,igd10umd64.dll,igd10umd64.dll,igdumdx32,igd10umd32,igd10umd32 Driver File Version: 9.17.0010.2932 (English) Driver Version: 9.17.10.2932 DDI Version: 11 Feature Levels: 11.0,10.1,10.0,9.3,9.2,9.1 Driver Model: WDDM 1.2 Graphics Preemption: DMA Compute Preemption: Thread group Driver Attributes: Final Retail Driver Date/Size: 12/14/2012 02:42:34, 12615680 bytes WHQL Logo'd: Yes WHQL Date Stamp: Device Identifier: {D7B78E66-4222-11CF-8D70-6821B7C2C435} Vendor ID: 0x8086 Device ID: 0x0162 SubSys ID: 0x01621849 Revision ID: 0x0009 Driver Strong Name: oem3.inf:5f63e53413eb6103:iIVBD0:9.17.10.2932:pci\ven_8086&dev_0162 Rank Of Driver: 00E02001 Video Accel: ModeMPEG2_A ModeMPEG2_C ModeWMV9_C ModeVC1_C DXVA2 Modes: DXVA2_ModeMPEG2_VLD DXVA2_ModeMPEG2_IDCT DXVA2_ModeWMV9_IDCT DXVA2_ModeVC1_IDCT DXVA2_ModeH264_VLD_NoFGT Deinterlace Caps: {BF752EF6-8CC4-457A-BE1B-08BD1CAEEE9F}: Format(In/Out)=(YUY2,YUY2) Frames(Prev/Fwd/Back)=(0,0,1) Caps=VideoProcess_YUV2RGB VideoProcess_StretchX VideoProcess_StretchY VideoProcess_AlphaBlend DeinterlaceTech_EdgeFiltering {335AA36E-7884-43A4-9C91-7F87FAF3E37E}: Format(In/Out)=(YUY2,YUY2) Frames(Prev/Fwd/Back)=(0,0,0) Caps=VideoProcess_YUV2RGB VideoProcess_StretchX VideoProcess_StretchY VideoProcess_AlphaBlend DeinterlaceTech_BOBVerticalStretch {5A54A0C9-C7EC-4BD9-8EDE-F3C75DC4393B}: Format(In/Out)=(YUY2,YUY2) Frames(Prev/Fwd/Back)=(0,0,0) Caps=VideoProcess_YUV2RGB VideoProcess_StretchX VideoProcess_StretchY VideoProcess_AlphaBlend {BF752EF6-8CC4-457A-BE1B-08BD1CAEEE9F}: Format(In/Out)=(UYVY,YUY2) Frames(Prev/Fwd/Back)=(0,0,1) Caps=VideoProcess_YUV2RGB VideoProcess_StretchX VideoProcess_StretchY VideoProcess_AlphaBlend DeinterlaceTech_EdgeFiltering {335AA36E-7884-43A4-9C91-7F87FAF3E37E}: Format(In/Out)=(UYVY,YUY2) Frames(Prev/Fwd/Back)=(0,0,0) Caps=VideoProcess_YUV2RGB VideoProcess_StretchX VideoProcess_StretchY VideoProcess_AlphaBlend DeinterlaceTech_BOBVerticalStretch {5A54A0C9-C7EC-4BD9-8EDE-F3C75DC4393B}: Format(In/Out)=(UYVY,YUY2) Frames(Prev/Fwd/Back)=(0,0,0) Caps=VideoProcess_YUV2RGB VideoProcess_StretchX VideoProcess_StretchY VideoProcess_AlphaBlend {BF752EF6-8CC4-457A-BE1B-08BD1CAEEE9F}: Format(In/Out)=(YV12,YUY2) Frames(Prev/Fwd/Back)=(0,0,1) Caps=VideoProcess_YUV2RGB VideoProcess_StretchX VideoProcess_StretchY VideoProcess_AlphaBlend DeinterlaceTech_EdgeFiltering {335AA36E-7884-43A4-9C91-7F87FAF3E37E}: Format(In/Out)=(YV12,YUY2) Frames(Prev/Fwd/Back)=(0,0,0) Caps=VideoProcess_YUV2RGB VideoProcess_StretchX VideoProcess_StretchY VideoProcess_AlphaBlend DeinterlaceTech_BOBVerticalStretch {5A54A0C9-C7EC-4BD9-8EDE-F3C75DC4393B}: Format(In/Out)=(YV12,YUY2) Frames(Prev/Fwd/Back)=(0,0,0) Caps=VideoProcess_YUV2RGB VideoProcess_StretchX VideoProcess_StretchY VideoProcess_AlphaBlend {BF752EF6-8CC4-457A-BE1B-08BD1CAEEE9F}: Format(In/Out)=(NV12,YUY2) Frames(Prev/Fwd/Back)=(0,0,1) Caps=VideoProcess_YUV2RGB VideoProcess_StretchX VideoProcess_StretchY VideoProcess_AlphaBlend DeinterlaceTech_EdgeFiltering {335AA36E-7884-43A4-9C91-7F87FAF3E37E}: Format(In/Out)=(NV12,YUY2) Frames(Prev/Fwd/Back)=(0,0,0) Caps=VideoProcess_YUV2RGB VideoProcess_StretchX VideoProcess_StretchY VideoProcess_AlphaBlend DeinterlaceTech_BOBVerticalStretch {5A54A0C9-C7EC-4BD9-8EDE-F3C75DC4393B}: Format(In/Out)=(NV12,YUY2) Frames(Prev/Fwd/Back)=(0,0,0) Caps=VideoProcess_YUV2RGB VideoProcess_StretchX VideoProcess_StretchY VideoProcess_AlphaBlend {BF752EF6-8CC4-457A-BE1B-08BD1CAEEE9F}: Format(In/Out)=(IMC1,YUY2) Frames(Prev/Fwd/Back)=(0,0,1) Caps=VideoProcess_YUV2RGB VideoProcess_StretchX VideoProcess_StretchY VideoProcess_AlphaBlend DeinterlaceTech_EdgeFiltering {335AA36E-7884-43A4-9C91-7F87FAF3E37E}: Format(In/Out)=(IMC1,YUY2) Frames(Prev/Fwd/Back)=(0,0,0) Caps=VideoProcess_YUV2RGB VideoProcess_StretchX VideoProcess_StretchY VideoProcess_AlphaBlend DeinterlaceTech_BOBVerticalStretch {5A54A0C9-C7EC-4BD9-8EDE-F3C75DC4393B}: Format(In/Out)=(IMC1,YUY2) Frames(Prev/Fwd/Back)=(0,0,0) Caps=VideoProcess_YUV2RGB VideoProcess_StretchX VideoProcess_StretchY VideoProcess_AlphaBlend {BF752EF6-8CC4-457A-BE1B-08BD1CAEEE9F}: Format(In/Out)=(IMC2,YUY2) Frames(Prev/Fwd/Back)=(0,0,1) Caps=VideoProcess_YUV2RGB VideoProcess_StretchX VideoProcess_StretchY VideoProcess_AlphaBlend DeinterlaceTech_EdgeFiltering {335AA36E-7884-43A4-9C91-7F87FAF3E37E}: Format(In/Out)=(IMC2,YUY2) Frames(Prev/Fwd/Back)=(0,0,0) Caps=VideoProcess_YUV2RGB VideoProcess_StretchX VideoProcess_StretchY VideoProcess_AlphaBlend DeinterlaceTech_BOBVerticalStretch {5A54A0C9-C7EC-4BD9-8EDE-F3C75DC4393B}: Format(In/Out)=(IMC2,YUY2) Frames(Prev/Fwd/Back)=(0,0,0) Caps=VideoProcess_YUV2RGB VideoProcess_StretchX VideoProcess_StretchY VideoProcess_AlphaBlend {BF752EF6-8CC4-457A-BE1B-08BD1CAEEE9F}: Format(In/Out)=(IMC3,YUY2) Frames(Prev/Fwd/Back)=(0,0,1) Caps=VideoProcess_YUV2RGB VideoProcess_StretchX VideoProcess_StretchY VideoProcess_AlphaBlend DeinterlaceTech_EdgeFiltering {335AA36E-7884-43A4-9C91-7F87FAF3E37E}: Format(In/Out)=(IMC3,YUY2) Frames(Prev/Fwd/Back)=(0,0,0) Caps=VideoProcess_YUV2RGB VideoProcess_StretchX VideoProcess_StretchY VideoProcess_AlphaBlend DeinterlaceTech_BOBVerticalStretch {5A54A0C9-C7EC-4BD9-8EDE-F3C75DC4393B}: Format(In/Out)=(IMC3,YUY2) Frames(Prev/Fwd/Back)=(0,0,0) Caps=VideoProcess_YUV2RGB VideoProcess_StretchX VideoProcess_StretchY VideoProcess_AlphaBlend {BF752EF6-8CC4-457A-BE1B-08BD1CAEEE9F}: Format(In/Out)=(IMC4,YUY2) Frames(Prev/Fwd/Back)=(0,0,1) Caps=VideoProcess_YUV2RGB VideoProcess_StretchX VideoProcess_StretchY VideoProcess_AlphaBlend DeinterlaceTech_EdgeFiltering {335AA36E-7884-43A4-9C91-7F87FAF3E37E}: Format(In/Out)=(IMC4,YUY2) Frames(Prev/Fwd/Back)=(0,0,0) Caps=VideoProcess_YUV2RGB VideoProcess_StretchX VideoProcess_StretchY VideoProcess_AlphaBlend DeinterlaceTech_BOBVerticalStretch {5A54A0C9-C7EC-4BD9-8EDE-F3C75DC4393B}: Format(In/Out)=(IMC4,YUY2) Frames(Prev/Fwd/Back)=(0,0,0) Caps=VideoProcess_YUV2RGB VideoProcess_StretchX VideoProcess_StretchY VideoProcess_AlphaBlend D3D9 Overlay: Supported DXVA-HD: Supported DDraw Status: Enabled D3D Status: Enabled AGP Status: Enabled ------------- Sound Devices ------------- Description: Speakers (Plantronics GameCom 780) Default Sound Playback: Yes Default Voice Playback: Yes Hardware ID: USB\VID_047F&PID_C010&REV_0100&MI_00 Manufacturer ID: 65535 Product ID: 65535 Type: WDM Driver Name: USBAUDIO.sys Driver Version: 6.02.9200.16384 (English) Driver Attributes: Final Retail WHQL Logo'd: Yes Date and Size: 7/26/2012 03:26:27, 121856 bytes Other Files: Driver Provider: Microsoft HW Accel Level: Basic Cap Flags: 0xF1F Min/Max Sample Rate: 100, 200000 Static/Strm HW Mix Bufs: 1, 0 Static/Strm HW 3D Bufs: 0, 0 HW Memory: 0 Voice Management: No EAX(tm) 2.0 Listen/Src: No, No I3DL2(tm) Listen/Src: No, No Sensaura(tm) ZoomFX(tm): No Description: Speakers (High Definition Audio Device) Default Sound Playback: No Default Voice Playback: No Hardware ID: HDAUDIO\FUNC_01&VEN_10EC&DEV_0899&SUBSYS_18491898&REV_1000 Manufacturer ID: 1 Product ID: 65535 Type: WDM Driver Name: HdAudio.sys Driver Version: 6.02.9200.16384 (English) Driver Attributes: Final Retail WHQL Logo'd: Yes Date and Size: 7/26/2012 03:26:51, 339968 bytes Other Files: Driver Provider: Microsoft HW Accel Level: Basic Cap Flags: 0xF1F Min/Max Sample Rate: 100, 200000 Static/Strm HW Mix Bufs: 1, 0 Static/Strm HW 3D Bufs: 0, 0 HW Memory: 0 Voice Management: No EAX(tm) 2.0 Listen/Src: No, No I3DL2(tm) Listen/Src: No, No Sensaura(tm) ZoomFX(tm): No Description: Digital Audio (S/PDIF) (High Definition Audio Device) Default Sound Playback: No Default Voice Playback: No Hardware ID: HDAUDIO\FUNC_01&VEN_10EC&DEV_0899&SUBSYS_18491898&REV_1000 Manufacturer ID: 1 Product ID: 65535 Type: WDM Driver Name: HdAudio.sys Driver Version: 6.02.9200.16384 (English) Driver Attributes: Final Retail WHQL Logo'd: Yes Date and Size: 7/26/2012 03:26:51, 339968 bytes Other Files: Driver Provider: Microsoft HW Accel Level: Basic Cap Flags: 0xF1F Min/Max Sample Rate: 100, 200000 Static/Strm HW Mix Bufs: 1, 0 Static/Strm HW 3D Bufs: 0, 0 HW Memory: 0 Voice Management: No EAX(tm) 2.0 Listen/Src: No, No I3DL2(tm) Listen/Src: No, No Sensaura(tm) ZoomFX(tm): No --------------------- Sound Capture Devices --------------------- Description: Microphone (Plantronics GameCom 780) Default Sound Capture: Yes Default Voice Capture: Yes Driver Name: USBAUDIO.sys Driver Version: 6.02.9200.16384 (English) Driver Attributes: Final Retail Date and Size: 7/26/2012 03:26:27, 121856 bytes Cap Flags: 0x1 Format Flags: 0xFFFFF Description: SPDIF Interface (Plantronics GameCom 780) Default Sound Capture: No Default Voice Capture: No Driver Name: USBAUDIO.sys Driver Version: 6.02.9200.16384 (English) Driver Attributes: Final Retail Date and Size: 7/26/2012 03:26:27, 121856 bytes Cap Flags: 0x1 Format Flags: 0xFFFFF Description: Line (Plantronics GameCom 780) Default Sound Capture: No Default Voice Capture: No Driver Name: USBAUDIO.sys Driver Version: 6.02.9200.16384 (English) Driver Attributes: Final Retail Date and Size: 7/26/2012 03:26:27, 121856 bytes Cap Flags: 0x1 Format Flags: 0xFFFFF ------------------- DirectInput Devices ------------------- Device Name: Mouse Attached: 1 Controller ID: n/a Vendor/Product ID: n/a FF Driver: n/a Device Name: Keyboard Attached: 1 Controller ID: n/a Vendor/Product ID: n/a FF Driver: n/a Device Name: Plantronics GameCom 780 Attached: 1 Controller ID: 0x0 Vendor/Product ID: 0x047F, 0xC010 FF Driver: n/a Poll w/ Interrupt: No ----------- USB Devices ----------- + USB Root Hub | Vendor/Product ID: 0x8086, 0x1E2D | Matching Device ID: USB\ROOT_HUB20 | Service: usbhub | Driver: usbhub.sys, 7/26/2012 06:00:58, 496368 bytes | Driver: usbd.sys, 7/26/2012 06:00:58, 21744 bytes | +-+ Generic USB Hub | | Vendor/Product ID: 0x8087, 0x0024 | | Location: Port_#0001.Hub_#0001 | | Matching Device ID: USB\Class_09 | | Service: usbhub | | Driver: usbhub.sys, 7/26/2012 06:00:58, 496368 bytes | | Driver: usbd.sys, 7/26/2012 06:00:58, 21744 bytes ---------------- Gameport Devices ---------------- ------------ PS/2 Devices ------------ + Standard PS/2 Keyboard | Matching Device ID: *PNP0303 | Service: i8042prt | Driver: i8042prt.sys, 7/26/2012 03:28:51, 112640 bytes | Driver: kbdclass.sys, 7/26/2012 06:00:52, 48368 bytes | + HID Keyboard Device | Vendor/Product ID: 0x1532, 0x0015 | Matching Device ID: HID_DEVICE_SYSTEM_KEYBOARD | Service: kbdhid | Driver: kbdhid.sys, 7/26/2012 03:28:49, 29184 bytes | Driver: kbdclass.sys, 7/26/2012 06:00:52, 48368 bytes | + HID-compliant mouse | Vendor/Product ID: 0x1532, 0x0015 | Matching Device ID: HID_DEVICE_SYSTEM_MOUSE | Service: mouhid | Driver: mouhid.sys, 7/26/2012 03:28:47, 26112 bytes | Driver: mouclass.sys, 7/26/2012 06:00:55, 45808 bytes ------------------------ Disk & DVD/CD-ROM Drives ------------------------ Drive: C: Free Space: 1843.8 GB Total Space: 1874.6 GB File System: NTFS Model: ST2000DM001-1CH164 Drive: D: Free Space: 273.0 GB Total Space: 715.4 GB File System: NTFS Model: WDC WD7500AACS-00D6B0 Drive: E: Model: PIONEER DVD-RW DVR-220L Driver: c:\windows\system32\drivers\cdrom.sys, 6.02.9200.16384 (English), 7/26/2012 03:26:36, 174080 bytes -------------- System Devices -------------- Name: Intel(R) 7 Series/C216 Chipset Family USB Enhanced Host Controller - 1E2D Device ID: PCI\VEN_8086&DEV_1E2D&SUBSYS_1E2D1849&REV_04\3&11583659&0&D0 Driver: C:\WINDOWS\system32\drivers\usbehci.sys, 6.02.9200.16384 (English), 7/26/2012 06:00:58, 78576 bytes Driver: C:\WINDOWS\system32\drivers\usbport.sys, 6.02.9200.16384 (English), 7/26/2012 06:00:58, 487664 bytes Driver: C:\WINDOWS\system32\drivers\usbhub.sys, 6.02.9200.16384 (English), 7/26/2012 06:00:58, 496368 bytes Name: Intel(R) 7 Series/C216 Chipset Family USB Enhanced Host Controller - 1E26 Device ID: PCI\VEN_8086&DEV_1E26&SUBSYS_1E261849&REV_04\3&11583659&0&E8 Driver: C:\WINDOWS\system32\drivers\usbehci.sys, 6.02.9200.16384 (English), 7/26/2012 06:00:58, 78576 bytes Driver: C:\WINDOWS\system32\drivers\usbport.sys, 6.02.9200.16384 (English), 7/26/2012 06:00:58, 487664 bytes Driver: C:\WINDOWS\system32\drivers\usbhub.sys, 6.02.9200.16384 (English), 7/26/2012 06:00:58, 496368 bytes Name: High Definition Audio Controller Device ID: PCI\VEN_8086&DEV_1E20&SUBSYS_18981849&REV_04\3&11583659&0&D8 Driver: C:\WINDOWS\system32\DRIVERS\hdaudbus.sys, 6.02.9200.16384 (English), 7/26/2012 03:27:36, 71168 bytes Name: Intel(R) 7 Series/C216 Chipset Family SMBus Host Controller - 1E22 Device ID: PCI\VEN_8086&DEV_1E22&SUBSYS_1E221849&REV_04\3&11583659&0&FB Driver: n/a Name: Intel(R) 7 Series/C216 Chipset Family PCI Express Root Port 5 - 1E18 Device ID: PCI\VEN_8086&DEV_1E18&SUBSYS_1E181849&REV_C4\3&11583659&0&E4 Driver: C:\WINDOWS\system32\DRIVERS\pci.sys, 6.02.9200.16384 (English), 7/26/2012 06:00:55, 234224 bytes Name: Intel(R) 7 Series/C216 Chipset Family PCI Express Root Port 4 - 1E16 Device ID: PCI\VEN_8086&DEV_1E16&SUBSYS_1E161849&REV_C4\3&11583659&0&E3 Driver: C:\WINDOWS\system32\DRIVERS\pci.sys, 6.02.9200.16384 (English), 7/26/2012 06:00:55, 234224 bytes Name: High Definition Audio Controller Device ID: PCI\VEN_10DE&DEV_0E0A&SUBSYS_355A1458&REV_A1\4&15001D53&0&0108 Driver: C:\WINDOWS\system32\DRIVERS\hdaudbus.sys, 6.02.9200.16384 (English), 7/26/2012 03:27:36, 71168 bytes Name: Intel(R) 7 Series/C216 Chipset Family PCI Express Root Port 1 - 1E10 Device ID: PCI\VEN_8086&DEV_1E10&SUBSYS_1E101849&REV_C4\3&11583659&0&E0 Driver: C:\WINDOWS\system32\DRIVERS\pci.sys, 6.02.9200.16384 (English), 7/26/2012 06:00:55, 234224 bytes Name: Intel(R) HD Graphics 4000 Device ID: PCI\VEN_8086&DEV_0162&SUBSYS_01621849&REV_09\3&11583659&0&10 Driver: C:\WINDOWS\system32\DRIVERS\igdkmd64.sys, 9.17.0010.2932 (English), 12/14/2012 02:42:22, 5353888 bytes Driver: C:\WINDOWS\system32\igdumd64.dll, 9.17.0010.2932 (English), 12/14/2012 02:42:34, 12615680 bytes Driver: C:\WINDOWS\system32\igd10umd64.dll, 9.17.0010.2932 (English), 12/14/2012 02:42:26, 12858368 bytes Driver: C:\WINDOWS\system32\igfxcmrt64.dll, 2.04.0000.1019 (English), 12/14/2012 02:42:20, 518656 bytes Driver: C:\WINDOWS\system32\igfx11cmrt64.dll, 2.04.0000.1019 (English), 12/14/2012 02:42:26, 483840 bytes Driver: C:\WINDOWS\system32\igfxcmjit64.dll, 2.04.0000.1019 (English), 12/14/2012 02:42:12, 3511296 bytes Driver: C:\WINDOWS\system32\IccLibDll_x64.dll, 12/14/2012 02:42:12, 94208 bytes Driver: C:\WINDOWS\system32\igcodeckrng700.bin, 12/14/2012 02:42:24, 754652 bytes Driver: C:\WINDOWS\system32\igvpkrng700.bin, 12/14/2012 02:42:24, 598384 bytes Driver: C:\WINDOWS\SysWow64\igcodeckrng700.bin, 12/14/2012 02:42:24, 754652 bytes Driver: C:\WINDOWS\SysWow64\igvpkrng700.bin, 12/14/2012 02:42:24, 598384 bytes Driver: C:\WINDOWS\system32\igdde64.dll, 12/14/2012 02:42:24, 80384 bytes Driver: C:\WINDOWS\SysWow64\igdde32.dll, 12/14/2012 02:42:30, 64512 bytes Driver: C:\WINDOWS\system32\iglhxs64.vp, 12/14/2012 02:42:20, 17102 bytes Driver: C:\WINDOWS\system32\iglhxo64.vp, 6/2/2012 15:32:34, 59425 bytes Driver: C:\WINDOWS\system32\iglhxc64.vp, 6/2/2012 15:32:34, 59230 bytes Driver: C:\WINDOWS\system32\iglhxg64.vp, 6/2/2012 15:32:34, 59398 bytes Driver: C:\WINDOWS\system32\iglhxo64_dev.vp, 6/2/2012 15:32:34, 58109 bytes Driver: C:\WINDOWS\system32\iglhxc64_dev.vp, 6/2/2012 15:32:34, 59104 bytes Driver: C:\WINDOWS\system32\iglhxg64_dev.vp, 6/2/2012 15:32:34, 58796 bytes Driver: C:\WINDOWS\system32\iglhxa64.vp, 6/2/2012 15:32:34, 1074 bytes Driver: C:\WINDOWS\system32\iglhxa64.cpa, 6/2/2012 15:32:34, 1981696 bytes Driver: C:\WINDOWS\system32\iglhcp64.dll, 3.00.0001.0016 (English), 12/14/2012 02:42:10, 216064 bytes Driver: C:\WINDOWS\system32\iglhsip64.dll, 3.00.0000.0012 (English), 12/14/2012 02:42:24, 524800 bytes Driver: C:\WINDOWS\SysWow64\igdumd32.dll, 9.17.0010.2932 (English), 12/14/2012 02:42:24, 11049472 bytes Driver: C:\WINDOWS\SysWow64\igfxdv32.dll, 8.15.0010.2932 (English), 12/14/2012 02:42:30, 330752 bytes Driver: C:\WINDOWS\SysWow64\igd10umd32.dll, 9.17.0010.2932 (English), 12/14/2012 02:42:30, 11174912 bytes Driver: C:\WINDOWS\SysWow64\iglhcp32.dll, 3.00.0001.0015 (English), 12/14/2012 02:42:30, 180224 bytes Driver: C:\WINDOWS\SysWow64\iglhsip32.dll, 3.00.0000.0012 (English), 12/14/2012 02:42:24, 519680 bytes Driver: C:\WINDOWS\SysWow64\IntelCpHeciSvc.exe, 1.00.0001.0014 (English), 12/14/2012 02:42:10, 277616 bytes Driver: C:\WINDOWS\SysWow64\igfxcmrt32.dll, 2.04.0000.1019 (English), 12/14/2012 02:42:28, 640512 bytes Driver: C:\WINDOWS\SysWow64\igfx11cmrt32.dll, 2.04.0000.1019 (English), 12/14/2012 02:42:24, 459264 bytes Driver: C:\WINDOWS\SysWow64\igfxcmjit32.dll, 2.04.0000.1019 (English), 12/14/2012 02:42:28, 3121152 bytes Driver: C:\WINDOWS\system32\difx64.exe, 1.04.0002.0000 (English), 12/14/2012 02:42:22, 185968 bytes Driver: C:\WINDOWS\system32\hccutils.dll, 8.15.0010.2932 (English), 12/14/2012 02:42:30, 110592 bytes Driver: C:\WINDOWS\system32\igfxsrvc.dll, 8.15.0010.2932 (English), 12/14/2012 02:42:30, 64000 bytes Driver: C:\WINDOWS\system32\igfxsrvc.exe, 8.15.0010.2932 (English), 12/14/2012 02:42:28, 512112 bytes Driver: C:\WINDOWS\system32\igfxpph.dll, 8.15.0010.2932 (English), 12/14/2012 02:42:34, 384512 bytes Driver: C:\WINDOWS\system32\igfxcpl.cpl, 8.15.0010.2932 (English), 12/14/2012 02:42:16, 126976 bytes Driver: C:\WINDOWS\system32\igfxdev.dll, 8.15.0010.2932 (English), 12/14/2012 02:42:16, 442880 bytes Driver: C:\WINDOWS\system32\igfxdo.dll, 8.15.0010.2932 (English), 12/14/2012 02:42:24, 142336 bytes Driver: C:\WINDOWS\system32\igfxtray.exe, 8.15.0010.2932 (English), 12/14/2012 02:42:14, 172144 bytes Driver: C:\WINDOWS\system32\hkcmd.exe, 8.15.0010.2932 (English), 12/14/2012 02:42:10, 399984 bytes Driver: C:\WINDOWS\system32\igfxress.dll, 8.15.0010.2932 (English), 12/14/2012 02:42:26, 9007616 bytes Driver: C:\WINDOWS\system32\igfxpers.exe, 8.15.0010.2932 (English), 12/14/2012 02:42:14, 441968 bytes Driver: C:\WINDOWS\system32\igfxTMM.dll, 8.15.0010.2932 (English), 12/14/2012 02:42:14, 410112 bytes Driver: C:\WINDOWS\system32\gfxSrvc.dll, 8.15.0010.2932 (English), 12/14/2012 02:42:12, 175104 bytes Driver: C:\WINDOWS\system32\GfxUI.exe, 8.15.0010.2932 (English), 12/14/2012 02:42:12, 5906032 bytes Driver: C:\WINDOWS\system32\GfxUI.exe.config, 12/14/2012 02:42:28, 268 bytes Driver: C:\WINDOWS\system32\IGFXDEVLib.dll, 1.00.0000.0000 (Invariant Language), 12/14/2012 02:42:36, 9728 bytes Driver: C:\WINDOWS\system32\igfxext.exe, 8.15.0010.2932 (English), 12/14/2012 02:42:28, 255088 bytes Driver: C:\WINDOWS\system32\igfxexps.dll, 8.15.0010.2932 (English), 12/14/2012 02:42:30, 28672 bytes Driver: C:\WINDOWS\SysWow64\igfxexps32.dll, 8.15.0010.2932 (English), 12/14/2012 02:42:22, 25088 bytes Driver: C:\WINDOWS\system32\igfxrara.lrc, 8.15.0010.2932 (English), 12/14/2012 02:42:30, 435712 bytes Driver: C:\WINDOWS\system32\igfxrchs.lrc, 8.15.0010.2932 (English), 12/14/2012 02:42:26, 428544 bytes Driver: C:\WINDOWS\system32\igfxrcht.lrc, 8.15.0010.2932 (English), 12/14/2012 02:42:30, 429056 bytes Driver: C:\WINDOWS\system32\igfxrdan.lrc, 8.15.0010.2932 (English), 12/14/2012 02:42:16, 437248 bytes Driver: C:\WINDOWS\system32\igfxrdeu.lrc, 8.15.0010.2932 (English), 12/14/2012 02:42:28, 438784 bytes Driver: C:\WINDOWS\system32\igfxrenu.lrc, 8.15.0010.2932 (English), 12/14/2012 02:42:24, 286208 bytes Driver: C:\WINDOWS\system32\igfxresn.lrc, 8.15.0010.2932 (English), 12/14/2012 02:42:26, 439808 bytes Driver: C:\WINDOWS\system32\igfxrfin.lrc, 8.15.0010.2932 (English), 12/14/2012 02:42:20, 438272 bytes Driver: C:\WINDOWS\system32\igfxrfra.lrc, 8.15.0010.2932 (English), 12/14/2012 02:42:14, 439808 bytes Driver: C:\WINDOWS\system32\igfxrheb.lrc, 8.15.0010.2932 (English), 12/14/2012 02:42:30, 435712 bytes Driver: C:\WINDOWS\system32\igfxrhrv.lrc, 8.15.0010.2932 (English), 12/14/2012 02:42:12, 438784 bytes Driver: C:\WINDOWS\system32\igfxrita.lrc, 8.15.0010.2932 (English), 12/14/2012 02:42:16, 438784 bytes Driver: C:\WINDOWS\system32\igfxrjpn.lrc, 8.15.0010.2932 (English), 12/14/2012 02:42:20, 432128 bytes Driver: C:\WINDOWS\system32\igfxrkor.lrc, 8.15.0010.2932 (English), 12/14/2012 02:42:30, 431104 bytes Driver: C:\WINDOWS\system32\igfxrnld.lrc, 8.15.0010.2932 (English), 12/14/2012 02:42:28, 438784 bytes Driver: C:\WINDOWS\system32\igfxrnor.lrc, 8.15.0010.2932 (English), 12/14/2012 02:42:36, 437760 bytes Driver: C:\WINDOWS\system32\igfxrplk.lrc, 8.15.0010.2932 (English), 12/14/2012 02:42:12, 438784 bytes Driver: C:\WINDOWS\system32\igfxrptb.lrc, 8.15.0010.2932 (English), 12/14/2012 02:42:30, 437760 bytes Driver: C:\WINDOWS\system32\igfxrptg.lrc, 8.15.0010.2932 (English), 12/14/2012 02:42:24, 438784 bytes Driver: C:\WINDOWS\system32\igfxrrom.lrc, 8.15.0010.2932 (English), 12/14/2012 02:42:22, 439296 bytes Driver: C:\WINDOWS\system32\igfxrrus.lrc, 8.15.0010.2932 (English), 12/14/2012 02:42:24, 439296 bytes Driver: C:\WINDOWS\system32\igfxrsky.lrc, 8.15.0010.2932 (English), 12/14/2012 02:42:12, 438784 bytes Driver: C:\WINDOWS\system32\igfxrslv.lrc, 8.15.0010.2932 (English), 12/14/2012 02:42:10, 437760 bytes Driver: C:\WINDOWS\system32\igfxrsve.lrc, 8.15.0010.2932 (English), 12/14/2012 02:42:20, 437760 bytes Driver: C:\WINDOWS\system32\igfxrtha.lrc, 8.15.0010.2932 (English), 12/14/2012 02:42:30, 437248 bytes Driver: C:\WINDOWS\system32\igfxrcsy.lrc, 8.15.0010.2932 (English), 12/14/2012 02:42:22, 438272 bytes Driver: C:\WINDOWS\system32\igfxrell.lrc, 8.15.0010.2932 (English), 12/14/2012 02:42:30, 440320 bytes Driver: C:\WINDOWS\system32\igfxrhun.lrc, 8.15.0010.2932 (English), 12/14/2012 02:42:16, 438272 bytes Driver: C:\WINDOWS\system32\igfxrtrk.lrc, 8.15.0010.2932 (English), 12/14/2012 02:42:26, 437760 bytes Driver: C:\WINDOWS\system32\Gfxres.ar-SA.resources, 12/14/2012 02:42:30, 166124 bytes Driver: C:\WINDOWS\system32\Gfxres.cs-CZ.resources, 12/14/2012 02:42:12, 142267 bytes Driver: C:\WINDOWS\system32\Gfxres.da-DK.resources, 12/14/2012 02:42:16, 137132 bytes Driver: C:\WINDOWS\system32\Gfxres.de-DE.resources, 12/14/2012 02:42:28, 147360 bytes Driver: C:\WINDOWS\system32\Gfxres.el-GR.resources, 12/14/2012 02:42:30, 209986 bytes Driver: C:\WINDOWS\system32\Gfxres.es-ES.resources, 12/14/2012 02:42:22, 147269 bytes Driver: C:\WINDOWS\system32\Gfxres.en-US.resources, 12/14/2012 02:42:30, 132623 bytes Driver: C:\WINDOWS\system32\Gfxres.fi-FI.resources, 12/14/2012 02:42:22, 141998 bytes Driver: C:\WINDOWS\system32\Gfxres.fr-FR.resources, 12/14/2012 02:42:36, 145470 bytes Driver: C:\WINDOWS\system32\Gfxres.he-IL.resources, 12/14/2012 02:42:10, 158986 bytes Driver: C:\WINDOWS\system32\Gfxres.hr-HR.resources, 12/14/2012 02:42:30, 141038 bytes Driver: C:\WINDOWS\system32\Gfxres.hu-HU.resources, 12/14/2012 02:42:30, 143916 bytes Driver: C:\WINDOWS\system32\Gfxres.it-IT.resources, 12/14/2012 02:42:10, 149649 bytes Driver: C:\WINDOWS\system32\Gfxres.ja-JP.resources, 12/14/2012 02:42:30, 163379 bytes Driver: C:\WINDOWS\system32\Gfxres.ko-KR.resources, 12/14/2012 02:42:24, 148018 bytes Driver: C:\WINDOWS\system32\Gfxres.nb-NO.resources, 12/14/2012 02:42:24, 137793 bytes Driver: C:\WINDOWS\system32\Gfxres.nl-NL.resources, 12/14/2012 02:42:12, 143989 bytes Driver: C:\WINDOWS\system32\Gfxres.pl-PL.resources, 12/14/2012 02:42:26, 142682 bytes Driver: C:\WINDOWS\system32\Gfxres.pt-BR.resources, 12/14/2012 02:42:36, 144235 bytes Driver: C:\WINDOWS\system32\Gfxres.pt-PT.resources, 12/14/2012 02:42:24, 143249 bytes Driver: C:\WINDOWS\system32\Gfxres.ro-RO.resources, 12/14/2012 02:42:22, 145974 bytes Driver: C:\WINDOWS\system32\Gfxres.ru-RU.resources, 12/14/2012 02:42:28, 194121 bytes Driver: C:\WINDOWS\system32\Gfxres.sk-SK.resources, 12/14/2012 02:42:24, 141833 bytes Driver: C:\WINDOWS\system32\Gfxres.sl-SI.resources, 12/14/2012 02:42:22, 137880 bytes Driver: C:\WINDOWS\system32\Gfxres.sv-SE.resources, 12/14/2012 02:42:24, 142876 bytes Driver: C:\WINDOWS\system32\Gfxres.th-TH.resources, 12/14/2012 02:42:12, 223492 bytes Driver: C:\WINDOWS\system32\Gfxres.tr-TR.resources, 12/14/2012 02:42:30, 144637 bytes Driver: C:\WINDOWS\system32\Gfxres.zh-CN.resources, 12/14/2012 02:42:30, 124662 bytes Driver: C:\WINDOWS\system32\Gfxres.zh-TW.resources, 12/14/2012 02:42:12, 126294 bytes Driver: C:\WINDOWS\system32\ig7icd64.dll, 9.17.0010.2932 (English), 12/14/2012 02:42:22, 11633152 bytes Driver: C:\WINDOWS\SysWow64\ig7icd32.dll, 9.17.0010.2932 (English), 12/14/2012 02:42:20, 8621056 bytes Driver: C:\WINDOWS\system32\Intel_OpenCL_ICD64.dll, 1.02.0001.0000 (English), 12/14/2012 02:42:22, 56832 bytes Driver: C:\WINDOWS\system32\IntelOpenCL64.dll, 1.01.0000.1003 (English), 12/14/2012 02:42:26, 241664 bytes Driver: C:\WINDOWS\system32\igdbcl64.dll, 9.17.0010.2884 (English), 12/14/2012 02:42:14, 3581440 bytes Driver: C:\WINDOWS\system32\igdrcl64.dll, 9.17.0010.2932 (English), 12/14/2012 02:42:12, 27664896 bytes Driver: C:\WINDOWS\system32\igdfcl64.dll, 8.01.0000.2932 (English), 12/14/2012 02:42:20, 27457536 bytes Driver: C:\WINDOWS\SysWow64\Intel_OpenCL_ICD32.dll, 1.02.0001.0000 (English), 12/14/2012 02:42:12, 56320 bytes Driver: C:\WINDOWS\SysWow64\IntelOpenCL32.dll, 1.01.0000.1003 (English), 12/14/2012 02:42:36, 196096 bytes Driver: C:\WINDOWS\SysWow64\igdbcl32.dll, 9.17.0010.2884 (English), 12/14/2012 02:42:12, 2898944 bytes Driver: C:\WINDOWS\SysWow64\igdrcl32.dll, 9.17.0010.2932 (English), 12/14/2012 02:42:16, 27643904 bytes Driver: C:\WINDOWS\SysWow64\igdfcl32.dll, 8.01.0000.2932 (English), 12/14/2012 02:42:36, 21850112 bytes Driver: C:\WINDOWS\system32\igfxCoIn_v2932.dll, 1.02.0030.0000 (English), 12/14/2012 02:42:20, 116224 bytes Name: NVIDIA GeForce GTX 670 Device ID: PCI\VEN_10DE&DEV_1189&SUBSYS_355A1458&REV_A1\4&15001D53&0&0008 Driver: C:\Program Files\NVIDIA Corporation\Drs\dbInstaller.exe, 8.17.0013.1106 (English), 2/26/2013 00:32:28, 233760 bytes Driver: C:\Program Files\NVIDIA Corporation\Drs\nvdrsdb.bin, 2/26/2013 00:32:36, 1102808 bytes Driver: C:\WINDOWS\System32\DriverStore\FileRepository\nv_dispi.inf_amd64_67d640ab45cc6b34\NvCplSetupInt.exe, 1.00.0001.0000 (English), 2/26/2013 00:32:22, 73372616 bytes Driver: C:\Program Files (x86)\NVIDIA Corporation\coprocmanager\Nvd3d9wrap.dll, 8.17.0013.1106 (English), 2/26/2013 00:32:42, 286536 bytes Driver: C:\Program Files (x86)\NVIDIA Corporation\coprocmanager\detoured.dll, 2/26/2013 00:32:42, 4096 bytes Driver: C:\Program Files (x86)\NVIDIA Corporation\coprocmanager\nvdxgiwrap.dll, 8.17.0013.1106 (English), 2/26/2013 00:32:40, 193336 bytes Driver: C:\Program Files\NVIDIA Corporation\coprocmanager\Nvd3d9wrapx.dll, 8.17.0013.1106 (English), 2/26/2013 00:32:28, 327248 bytes Driver: C:\Program Files\NVIDIA Corporation\coprocmanager\detoured.dll, 2/26/2013 00:32:36, 4096 bytes Driver: C:\Program Files\NVIDIA Corporation\coprocmanager\nvdxgiwrapx.dll, 8.17.0013.1106 (English), 2/26/2013 00:32:04, 228880 bytes Driver: C:\Program Files\NVIDIA Corporation\license.txt, 2/26/2013 00:32:08, 21898 bytes Driver: C:\Program Files\NVIDIA Corporation\NVSMI\MCU.exe, 1.00.4647.21994 (English), 2/26/2013 00:32:08, 1562400 bytes Driver: C:\Program Files\NVIDIA Corporation\NVSMI\nvdebugdump.exe, 2/26/2013 00:32:44, 223008 bytes Driver: C:\Program Files\NVIDIA Corporation\NVSMI\nvidia-smi.1.pdf, 2/26/2013 00:32:40, 40574 bytes Driver: C:\Program Files\NVIDIA Corporation\NVSMI\nvidia-smi.exe, 8.17.0013.1106 (English), 2/26/2013 00:32:42, 241440 bytes Driver: C:\Program Files\NVIDIA Corporation\NVSMI\nvml.dll, 8.17.0013.1106 (English), 2/26/2013 00:32:42, 428320 bytes Driver: C:\Program Files\NVIDIA Corporation\OpenCL\OpenCL.dll, 1.00.0000.0000 (English), 2/26/2013 00:32:06, 53024 bytes Driver: C:\Program Files\NVIDIA Corporation\OpenCL\OpenCL64.dll, 1.00.0000.0000 (English), 2/26/2013 00:32:40, 61216 bytes Driver: C:\WINDOWS\system32\DRIVERS\nvlddmkm.sys, 9.18.0013.1106 (English), 2/26/2013 00:32:32, 11036448 bytes Driver: C:\WINDOWS\system32\nvEncodeAPI64.dll, 6.14.0013.1106 (English), 2/26/2013 00:32:36, 420128 bytes Driver: C:\WINDOWS\system32\nvapi64.dll, 9.18.0013.1106 (English), 2/26/2013 00:32:40, 2826040 bytes Driver: C:\WINDOWS\system32\nvcompiler.dll, 8.17.0013.1106 (English), 2/26/2013 00:32:44, 25256224 bytes Driver: C:\WINDOWS\system32\nvcuda.dll, 8.17.0013.1106 (English), 2/26/2013 00:32:06, 9390760 bytes Driver: C:\WINDOWS\system32\nvcuvenc.dll, 8.17.0013.1106 (English), 2/26/2013 00:32:34, 2346784 bytes Driver: C:\WINDOWS\system32\nvcuvid.dll, 8.17.0013.1106 (English), 2/26/2013 00:32:28, 2904352 bytes Driver: C:\WINDOWS\system32\nvd3dumx.dll, 9.18.0013.1106 (English), 2/26/2013 00:32:38, 18055184 bytes Driver: C:\WINDOWS\system32\nvinfo.pb, 2/26/2013 00:32:08, 17266 bytes Driver: C:\WINDOWS\system32\nvinitx.dll, 9.18.0013.1106 (English), 2/26/2013 00:32:32, 245872 bytes Driver: C:\WINDOWS\system32\nvoglv64.dll, 9.18.0013.1106 (English), 2/26/2013 00:32:36, 26929440 bytes Driver: C:\WINDOWS\system32\nvopencl.dll, 8.17.0013.1106 (English), 2/26/2013 00:32:08, 7564040 bytes Driver: C:\WINDOWS\system32\nvumdshimx.dll, 9.18.0013.1106 (English), 2/26/2013 00:32:38, 1107440 bytes Driver: C:\WINDOWS\system32\nvwgf2umx.dll, 9.18.0013.1106 (English), 2/26/2013 00:32:26, 15053264 bytes Driver: C:\WINDOWS\SysWow64\nvEncodeAPI.dll, 6.14.0013.1106 (English), 2/26/2013 00:32:28, 364832 bytes Driver: C:\WINDOWS\SysWow64\nvapi.dll, 9.18.0013.1106 (English), 2/26/2013 00:32:44, 2505144 bytes Driver: C:\WINDOWS\SysWow64\nvcompiler.dll, 8.17.0013.1106 (English), 2/26/2013 00:32:24, 17560352 bytes Driver: C:\WINDOWS\SysWow64\nvcuda.dll, 8.17.0013.1106 (English), 2/26/2013 00:32:34, 7932256 bytes Driver: C:\WINDOWS\SysWow64\nvcuvenc.dll, 8.17.0013.1106 (English), 2/26/2013 00:32:08, 1985824 bytes Driver: C:\WINDOWS\SysWow64\nvcuvid.dll, 8.17.0013.1106 (English), 2/26/2013 00:32:36, 2720544 bytes Driver: C:\WINDOWS\SysWow64\nvd3dum.dll, 9.18.0013.1106 (English), 2/26/2013 00:32:42, 15129960 bytes Driver: C:\WINDOWS\SysWow64\nvinit.dll, 9.18.0013.1106 (English), 2/26/2013 00:32:04, 201576 bytes Driver: C:\WINDOWS\SysWow64\nvoglv32.dll, 9.18.0013.1106 (English), 2/26/2013 00:32:26, 20449056 bytes Driver: C:\WINDOWS\SysWow64\nvopencl.dll, 8.17.0013.1106 (English), 2/26/2013 00:32:40, 6262608 bytes Driver: C:\WINDOWS\SysWow64\nvumdshim.dll, 9.18.0013.1106 (English), 2/26/2013 00:32:36, 958120 bytes Driver: C:\WINDOWS\SysWow64\nvwgf2um.dll, 9.18.0013.1106 (English), 2/26/2013 00:32:08, 12641992 bytes Driver: C:\WINDOWS\system32\nvdispco64.dll, 2.00.0029.0004 (English), 2/26/2013 00:32:38, 1814304 bytes Driver: C:\WINDOWS\system32\nvdispgenco64.dll, 2.00.0016.0002 (English), 2/26/2013 00:32:32, 1510176 bytes Name: Xeon(R) processor E3-1200 v2/3rd Gen Core processor PCI Express Root Port - 0151 Device ID: PCI\VEN_8086&DEV_0151&SUBSYS_01511849&REV_09\3&11583659&0&08 Driver: C:\WINDOWS\system32\DRIVERS\pci.sys, 6.02.9200.16384 (English), 7/26/2012 06:00:55, 234224 bytes Name: Intel(R) 7 Series/C216 Chipset Family SATA AHCI Controller Device ID: PCI\VEN_8086&DEV_1E02&SUBSYS_1E021849&REV_04\3&11583659&0&FA Driver: C:\WINDOWS\system32\DRIVERS\iaStorA.sys, 11.07.0000.1013 (English), 11/19/2012 12:10:38, 652344 bytes Name: PCI standard PCI-to-PCI bridge Device ID: PCI\VEN_1B21&DEV_1080&SUBSYS_10801849&REV_03\4&C7A4F95&0&00E5 Driver: C:\WINDOWS\system32\DRIVERS\pci.sys, 6.02.9200.16384 (English), 7/26/2012 06:00:55, 234224 bytes Name: Intel(R) 7 Series/C216 Chipset Family PCI Express Root Port 8 - 1E1E Device ID: PCI\VEN_8086&DEV_1E1E&SUBSYS_1E1E1849&REV_C4\3&11583659&0&E7 Driver: C:\WINDOWS\system32\DRIVERS\pci.sys, 6.02.9200.16384 (English), 7/26/2012 06:00:55, 234224 bytes Name: Broadcom NetLink (TM) Gigabit Ethernet Device ID: PCI\VEN_14E4&DEV_16B1&SUBSYS_96B11849&REV_10\4&2B8260C3&0&00E4 Driver: C:\WINDOWS\system32\DRIVERS\k57nd60a.sys, 15.04.0000.0009 (English), 8/25/2012 22:11:34, 433976 bytes Name: Intel(R) 7 Series/C216 Chipset Family PCI Express Root Port 6 - 1E1A Device ID: PCI\VEN_8086&DEV_1E1A&SUBSYS_1E1A1849&REV_C4\3&11583659&0&E5 Driver: C:\WINDOWS\system32\DRIVERS\pci.sys, 6.02.9200.16384 (English), 7/26/2012 06:00:55, 234224 bytes Name: Intel(R) Z77 Express Chipset LPC Controller - 1E44 Device ID: PCI\VEN_8086&DEV_1E44&SUBSYS_1E441849&REV_04\3&11583659&0&F8 Driver: C:\WINDOWS\system32\DRIVERS\msisadrv.sys, 6.02.9200.16384 (English), 7/26/2012 06:00:55, 17136 bytes Name: ASMedia XHCI Controller Device ID: PCI\VEN_1B21&DEV_1042&SUBSYS_10421849&REV_00\4&37A73C8A&0&00E7 Driver: C:\WINDOWS\system32\DRIVERS\asmtxhci.sys, 1.16.0002.0000 (English), 8/20/2012 10:38:12, 416072 bytes Name: Asmedia 106x SATA Controller Device ID: PCI\VEN_1B21&DEV_0612&SUBSYS_06121849&REV_01\4&33B94F4C&0&00E3 Driver: C:\WINDOWS\system32\DRIVERS\asahci64.sys, 1.03.0008.0000 (English), 7/18/2012 11:29:46, 49048 bytes Driver: C:\WINDOWS\system32\ahcipp64.dll, 1.00.0000.0001 (English), 7/8/2011 21:29:04, 48736 bytes Name: Intel(R) Management Engine Interface Device ID: PCI\VEN_8086&DEV_1E3A&SUBSYS_1E3A1849&REV_04\3&11583659&0&B0 Driver: C:\WINDOWS\system32\DRIVERS\HECIx64.sys, 9.00.0000.1287 (English), 1/11/2013 19:02:34, 64624 bytes Name: Intel(R) USB 3.0 eXtensible Host Controller - 0100 (Microsoft) Device ID: PCI\VEN_8086&DEV_1E31&SUBSYS_1E311849&REV_04\3&11583659&0&A0 Driver: C:\WINDOWS\system32\DRIVERS\UCX01000.SYS, 6.02.9200.16384 (English), 7/26/2012 06:00:58, 212208 bytes Driver: C:\WINDOWS\system32\DRIVERS\USBXHCI.SYS, 6.02.9200.16384 (English), 7/26/2012 06:00:58, 337136 bytes Name: Xeon(R) processor E3-1200 v2/3rd Gen Core processor DRAM Controller - 0150 Device ID: PCI\VEN_8086&DEV_0150&SUBSYS_01501849&REV_09\3&11583659&0&00 Driver: n/a ------------------ DirectShow Filters ------------------ DirectShow Filters: WMAudio Decoder DMO,0x00800800,1,1,WMADMOD.DLL,6.02.9200.16384 WMAPro over S/PDIF DMO,0x00600800,1,1,WMADMOD.DLL,6.02.9200.16384 WMSpeech Decoder DMO,0x00600800,1,1,WMSPDMOD.DLL,6.02.9200.16384 MP3 Decoder DMO,0x00600800,1,1,mp3dmod.dll,6.02.9200.16384 Mpeg4s Decoder DMO,0x00800001,1,1,mp4sdecd.dll,6.02.9200.16384 WMV Screen decoder DMO,0x00600800,1,1,wmvsdecd.dll,6.02.9200.16384 WMVideo Decoder DMO,0x00800001,1,1,wmvdecod.dll,6.02.9200.16384 Mpeg43 Decoder DMO,0x00800001,1,1,mp43decd.dll,6.02.9200.16384 Mpeg4 Decoder DMO,0x00800001,1,1,mpg4decd.dll,6.02.9200.16384 DV Muxer,0x00400000,0,0,qdv.dll,6.06.9200.16384 Color Space Converter,0x00400001,1,1,quartz.dll,6.06.9200.16384 WM ASF Reader,0x00400000,0,0,qasf.dll,12.00.9200.16384 AVI Splitter,0x00600000,1,1,quartz.dll,6.06.9200.16384 VGA 16 Color Ditherer,0x00400000,1,1,quartz.dll,6.06.9200.16384 SBE2MediaTypeProfile,0x00200000,0,0,sbe.dll,6.06.9200.16384 Microsoft DTV-DVD Video Decoder,0x005fffff,2,4,msmpeg2vdec.dll,12.00.8500.0000 AC3 Parser Filter,0x00600000,1,1,mpg2splt.ax,6.06.9200.16384 StreamBufferSink,0x00200000,0,0,sbe.dll,6.06.9200.16384 MJPEG Decompressor,0x00600000,1,1,quartz.dll,6.06.9200.16384 MPEG-I Stream Splitter,0x00600000,1,2,quartz.dll,6.06.9200.16384 SAMI (CC) Parser,0x00400000,1,1,quartz.dll,6.06.9200.16384 VBI Codec,0x00600000,1,4,VBICodec.ax,6.06.9200.16384 MPEG-2 Splitter,0x005fffff,1,0,mpg2splt.ax,6.06.9200.16384 Closed Captions Analysis Filter,0x00200000,2,5,cca.dll,6.06.9200.16384 SBE2FileScan,0x00200000,0,0,sbe.dll,6.06.9200.16384 Microsoft MPEG-2 Video Encoder,0x00200000,1,1,msmpeg2enc.dll,12.00.9200.16384 Internal Script Command Renderer,0x00800001,1,0,quartz.dll,6.06.9200.16384 MPEG Audio Decoder,0x03680001,1,1,quartz.dll,6.06.9200.16384 DV Splitter,0x00600000,1,2,qdv.dll,6.06.9200.16384 Video Mixing Renderer 9,0x00200000,1,0,quartz.dll,6.06.9200.16384 Microsoft MPEG-2 Encoder,0x00200000,2,1,msmpeg2enc.dll,12.00.9200.16384 ACM Wrapper,0x00600000,1,1,quartz.dll,6.06.9200.16384 Video Renderer,0x00800001,1,0,quartz.dll,6.06.9200.16384 MPEG-2 Video Stream Analyzer,0x00200000,0,0,sbe.dll,6.06.9200.16384 Line 21 Decoder,0x00600000,1,1,, Video Port Manager,0x00600000,2,1,quartz.dll,6.06.9200.16384 Video Renderer,0x00400000,1,0,quartz.dll,6.06.9200.16384 VPS Decoder,0x00200000,0,0,WSTPager.ax,6.06.9200.16384 WM ASF Writer,0x00400000,0,0,qasf.dll,12.00.9200.16384 VBI Surface Allocator,0x00600000,1,1,vbisurf.ax,6.02.9200.16384 File writer,0x00200000,1,0,qcap.dll,6.06.9200.16384 DVD Navigator,0x00200000,0,3,qdvd.dll,6.06.9200.16384 Overlay Mixer2,0x00200000,1,1,, Microsoft MPEG-2 Audio Encoder,0x00200000,1,1,msmpeg2enc.dll,12.00.9200.16384 WST Pager,0x00200000,1,1,WSTPager.ax,6.06.9200.16384 MPEG-2 Demultiplexer,0x00600000,1,1,mpg2splt.ax,6.06.9200.16384 DV Video Decoder,0x00800000,1,1,qdv.dll,6.06.9200.16384 SampleGrabber,0x00200000,1,1,qedit.dll,6.06.9200.16384 Null Renderer,0x00200000,1,0,qedit.dll,6.06.9200.16384 MPEG-2 Sections and Tables,0x005fffff,1,0,Mpeg2Data.ax,6.06.9200.16384 Microsoft AC3 Encoder,0x00200000,1,1,msac3enc.dll,6.02.9200.16384 StreamBufferSource,0x00200000,0,0,sbe.dll,6.06.9200.16384 Smart Tee,0x00200000,1,2,qcap.dll,6.06.9200.16384 Overlay Mixer,0x00200000,0,0,, AVI Decompressor,0x00600000,1,1,quartz.dll,6.06.9200.16384 AVI/WAV File Source,0x00400000,0,2,quartz.dll,6.06.9200.16384 Wave Parser,0x00400000,1,1,quartz.dll,6.06.9200.16384 MIDI Parser,0x00400000,1,1,quartz.dll,6.06.9200.16384 Multi-file Parser,0x00400000,1,1,quartz.dll,6.06.9200.16384 File stream renderer,0x00400000,1,1,quartz.dll,6.06.9200.16384 Microsoft DTV-DVD Audio Decoder,0x005fffff,1,1,msmpeg2adec.dll,12.00.8506.0000 StreamBufferSink2,0x00200000,0,0,sbe.dll,6.06.9200.16384 AVI Mux,0x00200000,1,0,qcap.dll,6.06.9200.16384 Line 21 Decoder 2,0x00600002,1,1,quartz.dll,6.06.9200.16384 File Source (Async.),0x00400000,0,1,quartz.dll,6.06.9200.16384 File Source (URL),0x00400000,0,1,quartz.dll,6.06.9200.16384 AudioRecorder WAV Dest,0x00200000,0,0,WavDest.dll, AudioRecorder Wave Form,0x00200000,0,0,WavDest.dll, SoundRecorder Null Renderer,0x00200000,0,0,WavDest.dll, Infinite Pin Tee Filter,0x00200000,1,1,qcap.dll,6.06.9200.16384 Enhanced Video Renderer,0x00200000,1,0,evr.dll,6.02.9200.16384 BDA MPEG2 Transport Information Filter,0x00200000,2,0,psisrndr.ax,6.06.9200.16384 MPEG Video Decoder,0x40000001,1,1,quartz.dll,6.06.9200.16384 WDM Streaming Tee/Splitter Devices: Tee/Sink-to-Sink Converter,0x00200000,1,1,ksproxy.ax,6.02.9200.16384 Video Compressors: WMVideo8 Encoder DMO,0x00600800,1,1,wmvxencd.dll,6.02.9200.16384 WMVideo9 Encoder DMO,0x00600800,1,1,wmvencod.dll,6.02.9200.16384 MSScreen 9 encoder DMO,0x00600800,1,1,wmvsencd.dll,6.02.9200.16384 DV Video Encoder,0x00200000,0,0,qdv.dll,6.06.9200.16384 MJPEG Compressor,0x00200000,0,0,quartz.dll,6.06.9200.16384 Audio Compressors: WM Speech Encoder DMO,0x00600800,1,1,WMSPDMOE.DLL,6.02.9200.16384 WMAudio Encoder DMO,0x00600800,1,1,WMADMOE.DLL,6.02.9200.16384 IMA ADPCM,0x00200000,1,1,quartz.dll,6.06.9200.16384 PCM,0x00200000,1,1,quartz.dll,6.06.9200.16384 Microsoft ADPCM,0x00200000,1,1,quartz.dll,6.06.9200.16384 GSM 6.10,0x00200000,1,1,quartz.dll,6.06.9200.16384 CCITT A-Law,0x00200000,1,1,quartz.dll,6.06.9200.16384 CCITT u-Law,0x00200000,1,1,quartz.dll,6.06.9200.16384 MPEG Layer-3,0x00200000,1,1,quartz.dll,6.06.9200.16384 Audio Capture Sources: Microphone (Plantronics GameCom 780),0x00200000,0,0,qcap.dll,6.06.9200.16384 SPDIF Interface (Plantronics GameCom 780),0x00200000,0,0,qcap.dll,6.06.9200.16384 Line (Plantronics GameCom 780),0x00200000,0,0,qcap.dll,6.06.9200.16384 PBDA CP Filters: PBDA DTFilter,0x00600000,1,1,CPFilters.dll,6.06.9200.16384 PBDA ETFilter,0x00200000,0,0,CPFilters.dll,6.06.9200.16384 PBDA PTFilter,0x00200000,0,0,CPFilters.dll,6.06.9200.16384 Midi Renderers: Default MidiOut Device,0x00800000,1,0,quartz.dll,6.06.9200.16384 Microsoft GS Wavetable Synth,0x00200000,1,0,quartz.dll,6.06.9200.16384 WDM Streaming Capture Devices: Plantronics GameCom 780,0x00200000,4,2,ksproxy.ax,6.02.9200.16384 WDM Streaming Rendering Devices: HD Audio SPDIF out,0x00200000,1,1,ksproxy.ax,6.02.9200.16384 HD Audio Speaker,0x00200000,1,1,ksproxy.ax,6.02.9200.16384 Plantronics GameCom 780,0x00200000,4,2,ksproxy.ax,6.02.9200.16384 BDA Network Providers: Microsoft ATSC Network Provider,0x00200000,0,1,MSDvbNP.ax,6.06.9200.16384 Microsoft DVBC Network Provider,0x00200000,0,1,MSDvbNP.ax,6.06.9200.16384 Microsoft DVBS Network Provider,0x00200000,0,1,MSDvbNP.ax,6.06.9200.16384 Microsoft DVBT Network Provider,0x00200000,0,1,MSDvbNP.ax,6.06.9200.16384 Microsoft Network Provider,0x00200000,0,1,MSNP.ax,6.06.9200.16384 Multi-Instance Capable VBI Codecs: VBI Codec,0x00600000,1,4,VBICodec.ax,6.06.9200.16384 BDA Transport Information Renderers: BDA MPEG2 Transport Information Filter,0x00600000,2,0,psisrndr.ax,6.06.9200.16384 MPEG-2 Sections and Tables,0x00600000,1,0,Mpeg2Data.ax,6.06.9200.16384 BDA CP/CA Filters: Decrypt/Tag,0x00600000,1,1,EncDec.dll,6.06.9200.16384 Encrypt/Tag,0x00200000,0,0,EncDec.dll,6.06.9200.16384 PTFilter,0x00200000,0,0,EncDec.dll,6.06.9200.16384 XDS Codec,0x00200000,0,0,EncDec.dll,6.06.9200.16384 WDM Streaming Communication Transforms: Tee/Sink-to-Sink Converter,0x00200000,1,1,ksproxy.ax,6.02.9200.16384 Audio Renderers: Speakers (Plantronics GameCom 780),0x00200000,1,0,quartz.dll,6.06.9200.16384 Default DirectSound Device,0x00800000,1,0,quartz.dll,6.06.9200.16384 Default WaveOut Device,0x00200000,1,0,quartz.dll,6.06.9200.16384 DirectSound: Speakers (Plantronics GameCom 780),0x00200000,1,0,quartz.dll,6.06.9200.16384 DirectSound: Speakers (High Definition Audio Device),0x00200000,1,0,quartz.dll,6.06.9200.16384 DirectSound: Digital Audio (S/PDIF) (High Definition Audio Device),0x00200000,1,0,quartz.dll,6.06.9200.16384 Speakers (High Definition Audio Device),0x00200000,1,0,quartz.dll,6.06.9200.16384 Digital Audio (S/PDIF) (High Definition Audio Device),0x00200000,1,0,quartz.dll,6.06.9200.16384 ---------------------------- Preferred DirectShow Filters ---------------------------- [HKEY_LOCAL_MACHINE\Software\Microsoft\DirectShow\Preferred] <media subtype GUID>, [<filter friendly name>, ]<filter CLSID> MEDIASUBTYPE_WMAUDIO_LOSSLESS, WMAudio Decoder DMO, CLSID_CWMADecMediaObject MEDIASUBTYPE_MPG4, Mpeg4 Decoder DMO, CLSID_CMpeg4DecMediaObject WMMEDIASUBTYPE_WMSP2, WMSpeech Decoder DMO, CLSID_CWMSPDecMediaObject MEDIASUBTYPE_WVC1, WMVideo Decoder DMO, CLSID_CWMVDecMediaObject {64687664-0000-0010-8000-00AA00389B71}, DV Video Decoder, CLSID_DVVideoCodec MEDIASUBTYPE_h264, Microsoft DTV-DVD Video Decoder, CLSID_CMPEG2VidDecoderDS MEDIASUBTYPE_MPEG1AudioPayload, MPEG Audio Decoder, CLSID_CMpegAudioCodec {78766964-0000-0010-8000-00AA00389B71}, Mpeg4s Decoder DMO, CLSID_CMpeg4sDecMediaObject MEDIASUBTYPE_WMAUDIO3, WMAudio Decoder DMO, CLSID_CWMADecMediaObject MEDIASUBTYPE_WMV2, WMVideo Decoder DMO, CLSID_CWMVDecMediaObject MEDIASUBTYPE_MPEG2_AUDIO, Microsoft DTV-DVD Audio Decoder, CLSID_CMPEG2AudDecoderDS {64697678-0000-0010-8000-00AA00389B71}, Mpeg4s Decoder DMO, CLSID_CMpeg4sDecMediaObject WMMEDIASUBTYPE_MP3, MP3 Decoder DMO, CLSID_CMP3DecMediaObject MEDIASUBTYPE_mp42, Mpeg4 Decoder DMO, CLSID_CMpeg4DecMediaObject MEDIASUBTYPE_MSS1, WMV Screen decoder DMO, CLSID_CMSSCDecMediaObject MEDIASUBTYPE_WVP2, WMVideo Decoder DMO, CLSID_CWMVDecMediaObject MEDIASUBTYPE_WMV1, WMVideo Decoder DMO, CLSID_CWMVDecMediaObject MEDIASUBTYPE_WMVP, WMVideo Decoder DMO, CLSID_CWMVDecMediaObject MEDIASUBTYPE_WMV3, WMVideo Decoder DMO, CLSID_CWMVDecMediaObject MEDIASUBTYPE_WMVR, WMVideo Decoder DMO, CLSID_CWMVDecMediaObject MEDIASUBTYPE_MJPG, MJPEG Decompressor, CLSID_MjpegDec MEDIASUBTYPE_mp43, Mpeg43 Decoder DMO, CLSID_CMpeg43DecMediaObject MEDIASUBTYPE_MSS2, WMV Screen decoder DMO, CLSID_CMSSCDecMediaObject {64737664-0000-0010-8000-00AA00389B71}, DV Video Decoder, CLSID_DVVideoCodec WMMEDIASUBTYPE_WMAudioV8, WMAudio Decoder DMO, CLSID_CWMADecMediaObject {44495658-0000-0010-8000-00AA00389B71}, Mpeg4s Decoder DMO, CLSID_CMpeg4sDecMediaObject WMMEDIASUBTYPE_WMSP1, WMSpeech Decoder DMO, CLSID_CWMSPDecMediaObject MEDIASUBTYPE_RAW_AAC1, Microsoft DTV-DVD Audio Decoder, CLSID_CMPEG2AudDecoderDS {6C737664-0000-0010-8000-00AA00389B71}, DV Video Decoder, CLSID_DVVideoCodec MEDIASUBTYPE_MP43, Mpeg43 Decoder DMO, CLSID_CMpeg43DecMediaObject MEDIASUBTYPE_MPEG1Payload, MPEG Video Decoder, CLSID_CMpegVideoCodec MEDIASUBTYPE_AVC1, Microsoft DTV-DVD Video Decoder, CLSID_CMPEG2VidDecoderDS {20637664-0000-0010-8000-00AA00389B71}, DV Video Decoder, CLSID_DVVideoCodec {58564944-0000-0010-8000-00AA00389B71}, Mpeg4s Decoder DMO, CLSID_CMpeg4sDecMediaObject MEDIASUBTYPE_MP42, Mpeg4 Decoder DMO, CLSID_CMpeg4DecMediaObject MEDIASUBTYPE_MPEG_ADTS_AAC, Microsoft DTV-DVD Audio Decoder, CLSID_CMPEG2AudDecoderDS MEDIASUBTYPE_mpg4, Mpeg4 Decoder DMO, CLSID_CMpeg4DecMediaObject MEDIASUBTYPE_M4S2, Mpeg4s Decoder DMO, CLSID_CMpeg4sDecMediaObject MEDIASUBTYPE_m4s2, Mpeg4s Decoder DMO, CLSID_CMpeg4sDecMediaObject MEDIASUBTYPE_MP4S, Mpeg4s Decoder DMO, CLSID_CMpeg4sDecMediaObject MEDIASUBTYPE_mp4s, Mpeg4s Decoder DMO, CLSID_CMpeg4sDecMediaObject MEDIASUBTYPE_MPEG1Packet, MPEG Video Decoder, CLSID_CMpegVideoCodec {5634504D-0000-0010-8000-00AA00389B71}, Mpeg4s Decoder DMO, CLSID_CMpeg4sDecMediaObject {7634706D-0000-0010-8000-00AA00389B71}, Mpeg4s Decoder DMO, CLSID_CMpeg4sDecMediaObject MEDIASUBTYPE_H264, Microsoft DTV-DVD Video Decoder, CLSID_CMPEG2VidDecoderDS MEDIASUBTYPE_MPEG2_VIDEO, Microsoft DTV-DVD Video Decoder, CLSID_CMPEG2VidDecoderDS MEDIASUBTYPE_WMVA, WMVideo Decoder DMO, CLSID_CWMVDecMediaObject MEDIASUBTYPE_MSAUDIO1, WMAudio Decoder DMO, CLSID_CWMADecMediaObject MEDIASUBTYPE_DVD_LPCM_AUDIO, Microsoft DTV-DVD Audio Decoder, CLSID_CMPEG2AudDecoderDS MEDIASUBTYPE_MPEG_LOAS, Microsoft DTV-DVD Audio Decoder, CLSID_CMPEG2AudDecoderDS --------------------------- Media Foundation Transforms --------------------------- [HKEY_LOCAL_MACHINE\Software\Classes\MediaFoundation\Transforms] <category>: <transform friendly name>, <transform CLSID>, <flags>, [<merit>, ]<file name>, <file version> Video Decoders: Microsoft MPEG Video Decoder MFT, {2D709E52-123F-49B5-9CBC-9AF5CDE28FB9}, 0x1, msmpeg2vdec.dll, 12.00.8500.0000 DV Decoder MFT, {404A6DE5-D4D6-4260-9BC7-5A6CBD882432}, 0x1, 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Mohitasudani / Segthor19 Using ResU NetThe recent advances in the field of computer vision has led to the wide use of Convolutional Neural Networks (CNNs) in organ segmentation of computed tomography (CT) images. Image guided radiation therapy requires the accurate segmentation of organs at risk (OARs). In this paper, we propose a 2D U-Net network to automatically segment thoracic organs at risk in computed tomography (CT) images. The architecture consists of a down sampling path to capture features and a symmetric up sampling path to obtain precise localization. SegTHOR19 is a competition timed to the conference IEEE ISBI 2019 that addresses the problem of organs at risk segmentation in Computed Tomography (CT) images. In the SegTHOR19 challenge, 40 CT scans with 4 thoracic organs (i.e., esophagus, heart, trachea and aorta) were used for training [1]. We experimented with both 2D U-net and 2D U-Net with Resnet18 architecture to train the networks. Our best results were obtained by using 2D Convolutional U-Net with ResNet18.
etherceo1x1 / CodesBUILD YOUR OWN BLOCKCHAIN: A PYTHON TUTORIAL Download the full Jupyter/iPython notebook from Github here Build Your Own Blockchain – The Basics¶ This tutorial will walk you through the basics of how to build a blockchain from scratch. Focusing on the details of a concrete example will provide a deeper understanding of the strengths and limitations of blockchains. For a higher-level overview, I’d recommend this excellent article from BitsOnBlocks. Transactions, Validation, and updating system state¶ At its core, a blockchain is a distributed database with a set of rules for verifying new additions to the database. We’ll start off by tracking the accounts of two imaginary people: Alice and Bob, who will trade virtual money with each other. We’ll need to create a transaction pool of incoming transactions, validate those transactions, and make them into a block. We’ll be using a hash function to create a ‘fingerprint’ for each of our transactions- this hash function links each of our blocks to each other. To make this easier to use, we’ll define a helper function to wrap the python hash function that we’re using. In [1]: import hashlib, json, sys def hashMe(msg=""): # For convenience, this is a helper function that wraps our hashing algorithm if type(msg)!=str: msg = json.dumps(msg,sort_keys=True) # If we don't sort keys, we can't guarantee repeatability! if sys.version_info.major == 2: return unicode(hashlib.sha256(msg).hexdigest(),'utf-8') else: return hashlib.sha256(str(msg).encode('utf-8')).hexdigest() Next, we want to create a function to generate exchanges between Alice and Bob. We’ll indicate withdrawals with negative numbers, and deposits with positive numbers. We’ll construct our transactions to always be between the two users of our system, and make sure that the deposit is the same magnitude as the withdrawal- i.e. that we’re neither creating nor destroying money. In [2]: import random random.seed(0) def makeTransaction(maxValue=3): # This will create valid transactions in the range of (1,maxValue) sign = int(random.getrandbits(1))*2 - 1 # This will randomly choose -1 or 1 amount = random.randint(1,maxValue) alicePays = sign * amount bobPays = -1 * alicePays # By construction, this will always return transactions that respect the conservation of tokens. # However, note that we have not done anything to check whether these overdraft an account return {u'Alice':alicePays,u'Bob':bobPays} Now let’s create a large set of transactions, then chunk them into blocks. In [3]: txnBuffer = [makeTransaction() for i in range(30)] Next step: making our very own blocks! We’ll take the first k transactions from the transaction buffer, and turn them into a block. Before we do that, we need to define a method for checking the valididty of the transactions we’ve pulled into the block. For bitcoin, the validation function checks that the input values are valid unspent transaction outputs (UTXOs), that the outputs of the transaction are no greater than the input, and that the keys used for the signatures are valid. In Ethereum, the validation function checks that the smart contracts were faithfully executed and respect gas limits. No worries, though- we don’t have to build a system that complicated. We’ll define our own, very simple set of rules which make sense for a basic token system: The sum of deposits and withdrawals must be 0 (tokens are neither created nor destroyed) A user’s account must have sufficient funds to cover any withdrawals If either of these conditions are violated, we’ll reject the transaction. In [4]: def updateState(txn, state): # Inputs: txn, state: dictionaries keyed with account names, holding numeric values for transfer amount (txn) or account balance (state) # Returns: Updated state, with additional users added to state if necessary # NOTE: This does not not validate the transaction- just updates the state! # If the transaction is valid, then update the state state = state.copy() # As dictionaries are mutable, let's avoid any confusion by creating a working copy of the data. for key in txn: if key in state.keys(): state[key] += txn[key] else: state[key] = txn[key] return state In [5]: def isValidTxn(txn,state): # Assume that the transaction is a dictionary keyed by account names # Check that the sum of the deposits and withdrawals is 0 if sum(txn.values()) is not 0: return False # Check that the transaction does not cause an overdraft for key in txn.keys(): if key in state.keys(): acctBalance = state[key] else: acctBalance = 0 if (acctBalance + txn[key]) < 0: return False return True Here are a set of sample transactions, some of which are fraudulent- but we can now check their validity! In [6]: state = {u'Alice':5,u'Bob':5} print(isValidTxn({u'Alice': -3, u'Bob': 3},state)) # Basic transaction- this works great! print(isValidTxn({u'Alice': -4, u'Bob': 3},state)) # But we can't create or destroy tokens! print(isValidTxn({u'Alice': -6, u'Bob': 6},state)) # We also can't overdraft our account. print(isValidTxn({u'Alice': -4, u'Bob': 2,'Lisa':2},state)) # Creating new users is valid print(isValidTxn({u'Alice': -4, u'Bob': 3,'Lisa':2},state)) # But the same rules still apply! True False False True False Each block contains a batch of transactions, a reference to the hash of the previous block (if block number is greater than 1), and a hash of its contents and the header Building the Blockchain: From Transactions to Blocks¶ We’re ready to start making our blockchain! Right now, there’s nothing on the blockchain, but we can get things started by defining the ‘genesis block’ (the first block in the system). Because the genesis block isn’t linked to any prior block, it gets treated a bit differently, and we can arbitrarily set the system state. In our case, we’ll create accounts for our two users (Alice and Bob) and give them 50 coins each. In [7]: state = {u'Alice':50, u'Bob':50} # Define the initial state genesisBlockTxns = [state] genesisBlockContents = {u'blockNumber':0,u'parentHash':None,u'txnCount':1,u'txns':genesisBlockTxns} genesisHash = hashMe( genesisBlockContents ) genesisBlock = {u'hash':genesisHash,u'contents':genesisBlockContents} genesisBlockStr = json.dumps(genesisBlock, sort_keys=True) Great! This becomes the first element from which everything else will be linked. In [8]: chain = [genesisBlock] For each block, we want to collect a set of transactions, create a header, hash it, and add it to the chain In [9]: def makeBlock(txns,chain): parentBlock = chain[-1] parentHash = parentBlock[u'hash'] blockNumber = parentBlock[u'contents'][u'blockNumber'] + 1 txnCount = len(txns) blockContents = {u'blockNumber':blockNumber,u'parentHash':parentHash, u'txnCount':len(txns),'txns':txns} blockHash = hashMe( blockContents ) block = {u'hash':blockHash,u'contents':blockContents} return block Let’s use this to process our transaction buffer into a set of blocks: In [10]: blockSizeLimit = 5 # Arbitrary number of transactions per block- # this is chosen by the block miner, and can vary between blocks! while len(txnBuffer) > 0: bufferStartSize = len(txnBuffer) ## Gather a set of valid transactions for inclusion txnList = [] while (len(txnBuffer) > 0) & (len(txnList) < blockSizeLimit): newTxn = txnBuffer.pop() validTxn = isValidTxn(newTxn,state) # This will return False if txn is invalid if validTxn: # If we got a valid state, not 'False' txnList.append(newTxn) state = updateState(newTxn,state) else: print("ignored transaction") sys.stdout.flush() continue # This was an invalid transaction; ignore it and move on ## Make a block myBlock = makeBlock(txnList,chain) chain.append(myBlock) In [11]: chain[0] Out[11]: {'contents': {'blockNumber': 0, 'parentHash': None, 'txnCount': 1, 'txns': [{'Alice': 50, 'Bob': 50}]}, 'hash': '7c88a4312054f89a2b73b04989cd9b9e1ae437e1048f89fbb4e18a08479de507'} In [12]: chain[1] Out[12]: {'contents': {'blockNumber': 1, 'parentHash': '7c88a4312054f89a2b73b04989cd9b9e1ae437e1048f89fbb4e18a08479de507', 'txnCount': 5, 'txns': [{'Alice': 3, 'Bob': -3}, {'Alice': -1, 'Bob': 1}, {'Alice': 3, 'Bob': -3}, {'Alice': -2, 'Bob': 2}, {'Alice': 3, 'Bob': -3}]}, 'hash': '7a91fc8206c5351293fd11200b33b7192e87fad6545504068a51aba868bc6f72'} As expected, the genesis block includes an invalid transaction which initiates account balances (creating tokens out of thin air). The hash of the parent block is referenced in the child block, which contains a set of new transactions which affect system state. We can now see the state of the system, updated to include the transactions: In [13]: state Out[13]: {'Alice': 72, 'Bob': 28} Checking Chain Validity¶ Now that we know how to create new blocks and link them together into a chain, let’s define functions to check that new blocks are valid- and that the whole chain is valid. On a blockchain network, this becomes important in two ways: When we initially set up our node, we will download the full blockchain history. After downloading the chain, we would need to run through the blockchain to compute the state of the system. To protect against somebody inserting invalid transactions in the initial chain, we need to check the validity of the entire chain in this initial download. Once our node is synced with the network (has an up-to-date copy of the blockchain and a representation of system state) it will need to check the validity of new blocks that are broadcast to the network. We will need three functions to facilitate in this: checkBlockHash: A simple helper function that makes sure that the block contents match the hash checkBlockValidity: Checks the validity of a block, given its parent and the current system state. We want this to return the updated state if the block is valid, and raise an error otherwise. checkChain: Check the validity of the entire chain, and compute the system state beginning at the genesis block. This will return the system state if the chain is valid, and raise an error otherwise. In [14]: def checkBlockHash(block): # Raise an exception if the hash does not match the block contents expectedHash = hashMe( block['contents'] ) if block['hash']!=expectedHash: raise Exception('Hash does not match contents of block %s'% block['contents']['blockNumber']) return In [15]: def checkBlockValidity(block,parent,state): # We want to check the following conditions: # - Each of the transactions are valid updates to the system state # - Block hash is valid for the block contents # - Block number increments the parent block number by 1 # - Accurately references the parent block's hash parentNumber = parent['contents']['blockNumber'] parentHash = parent['hash'] blockNumber = block['contents']['blockNumber'] # Check transaction validity; throw an error if an invalid transaction was found. for txn in block['contents']['txns']: if isValidTxn(txn,state): state = updateState(txn,state) else: raise Exception('Invalid transaction in block %s: %s'%(blockNumber,txn)) checkBlockHash(block) # Check hash integrity; raises error if inaccurate if blockNumber!=(parentNumber+1): raise Exception('Hash does not match contents of block %s'%blockNumber) if block['contents']['parentHash'] != parentHash: raise Exception('Parent hash not accurate at block %s'%blockNumber) return state In [16]: def checkChain(chain): # Work through the chain from the genesis block (which gets special treatment), # checking that all transactions are internally valid, # that the transactions do not cause an overdraft, # and that the blocks are linked by their hashes. # This returns the state as a dictionary of accounts and balances, # or returns False if an error was detected ## Data input processing: Make sure that our chain is a list of dicts if type(chain)==str: try: chain = json.loads(chain) assert( type(chain)==list) except: # This is a catch-all, admittedly crude return False elif type(chain)!=list: return False state = {} ## Prime the pump by checking the genesis block # We want to check the following conditions: # - Each of the transactions are valid updates to the system state # - Block hash is valid for the block contents for txn in chain[0]['contents']['txns']: state = updateState(txn,state) checkBlockHash(chain[0]) parent = chain[0] ## Checking subsequent blocks: These additionally need to check # - the reference to the parent block's hash # - the validity of the block number for block in chain[1:]: state = checkBlockValidity(block,parent,state) parent = block return state We can now check the validity of the state: In [17]: checkChain(chain) Out[17]: {'Alice': 72, 'Bob': 28} And even if we are loading the chain from a text file, e.g. from backup or loading it for the first time, we can check the integrity of the chain and create the current state: In [18]: chainAsText = json.dumps(chain,sort_keys=True) checkChain(chainAsText) Out[18]: {'Alice': 72, 'Bob': 28} Putting it together: The final Blockchain Architecture¶ In an actual blockchain network, new nodes would download a copy of the blockchain and verify it (as we just did above), then announce their presence on the peer-to-peer network and start listening for transactions. Bundling transactions into a block, they then pass their proposed block on to other nodes. We’ve seen how to verify a copy of the blockchain, and how to bundle transactions into a block. If we recieve a block from somewhere else, verifying it and adding it to our blockchain is easy. Let’s say that the following code runs on Node A, which mines the block: In [19]: import copy nodeBchain = copy.copy(chain) nodeBtxns = [makeTransaction() for i in range(5)] newBlock = makeBlock(nodeBtxns,nodeBchain) Now assume that the newBlock is transmitted to our node, and we want to check it and update our state if it is a valid block: In [20]: print("Blockchain on Node A is currently %s blocks long"%len(chain)) try: print("New Block Received; checking validity...") state = checkBlockValidity(newBlock,chain[-1],state) # Update the state- this will throw an error if the block is invalid! chain.append(newBlock) except: print("Invalid block; ignoring and waiting for the next block...") print("Blockchain on Node A is now %s blocks long"%len(chain)) Blockchain on Node A is currently 7 blocks long New Block Received; checking validity... Blockchain on Node A is now 8 blocks long
eugenbobrov / Power Allocation Algorithms For Massive MIMO Systems With Multi Antenna UsersModern 5G wireless cellular networks use massive multiple-input multiple-output (MIMO) technology. This concept entails using an antenna array at a base station to concurrently service many mobile devices that have several antennas on their side. In this field, a significant role is played by the precoding (beamforming) problem. During downlink, an important part of precoding is the power allocation problem that distributes power between transmitted symbols. In this paper, we consider the power allocation problem for a class of precodings that asymptotically work as regularized zero-forcing. Under some realistic assumptions, we simplify the sum spectral efficiency functional and obtain tractable expressions for it. We prove that equal power allocation provides optimum for the simplified functional with total power constraint (TPC). Also, low-complexity algorithms that improve equal power allocation in the case of per-antenna power constraints (PAPC) are proposed. On simulations using Quadriga, the proposed algorithms show a significant gain in sum spectral efficiency while using a similar computing time as the reference solutions.
mathchi / Customer Segmentation With RFM AnalysisContext A real online retail transaction data set of two years. Content This Online Retail II data set contains all the transactions occurring for a UK-based and registered, non-store online retail between 01/12/2009 and 09/12/2011.The company mainly sells unique all-occasion gift-ware. Many customers of the company are wholesalers. Column Descriptors InvoiceNo: Invoice number. Nominal. A 6-digit integral number uniquely assigned to each transaction. If this code starts with the letter 'c', it indicates a cancellation. StockCode: Product (item) code. Nominal. A 5-digit integral number uniquely assigned to each distinct product. Description: Product (item) name. Nominal. Quantity: The quantities of each product (item) per transaction. Numeric. InvoiceDate: Invice date and time. Numeric. The day and time when a transaction was generated. UnitPrice: Unit price. Numeric. Product price per unit in sterling (£). CustomerID: Customer number. Nominal. A 5-digit integral number uniquely assigned to each customer. Country: Country name. Nominal. The name of the country where a customer resides. Acknowledgements Here you can find references about data set: https://archive.ics.uci.edu/ml/datasets/Online+Retail+II and Relevant Papers: Chen, D. Sain, S.L., and Guo, K. (2012), Data mining for the online retail industry: A case study of RFM model-based customer segmentation using data mining, Journal of Database Marketing and Customer Strategy Management, Vol. 19, No. 3, pp. 197-208. doi: [Web Link]. Chen, D., Guo, K. and Ubakanma, G. (2015), Predicting customer profitability over time based on RFM time series, International Journal of Business Forecasting and Marketing Intelligence, Vol. 2, No. 1, pp.1-18. doi: [Web Link]. Chen, D., Guo, K., and Li, Bo (2019), Predicting Customer Profitability Dynamically over Time: An Experimental Comparative Study, 24th Iberoamerican Congress on Pattern Recognition (CIARP 2019), Havana, Cuba, 28-31 Oct, 2019. Laha Ale, Ning Zhang, Huici Wu, Dajiang Chen, and Tao Han, Online Proactive Caching in Mobile Edge Computing Using Bidirectional Deep Recurrent Neural Network, IEEE Internet of Things Journal, Vol. 6, Issue 3, pp. 5520-5530, 2019. Rina Singh, Jeffrey A. Graves, Douglas A. Talbert, William Eberle, Prefix and Suffix Sequential Pattern Mining, Industrial Conference on Data Mining 2018: Advances in Data Mining. Applications and Theoretical Aspects, pp. 309-324. 2018. Inspiration This is Data Set Characteristics: Multivariate, Sequential, Time-Series, Text
santoshkumarradha / Machine Learning Topological InsulatorsUsing Neural networks to compute topological invariants in insulators
polvalls9 / Transfer Learning Based Intrusion Detection In 5G And IoT NetworksDevelopment of a transfer learning system for the detection of cyber-attacks in 5G and IoT networks. Transfer learning will improve the accuracy and precision of cyber-attacks detection in 5G /IoT networks with limited computing capability and datasets with scarce labeled data.
