Hardware devices designed to realize artificial neural network (ANN) architectures and associated learning algorithms especially taking advantage of the inherent parallelism in the neural processing are. Active Electro-Optical Component Technologies. As has been described in Chapters 2 and 3, current and emerging active electro-optical (EO) sensing systems are implemented in many different modalities. All require components. Summary Report for: 17-3031.01 - Surveying Technicians. Adjust and operate surveying instruments, such as the theodolite and electronic distance-measuring equipment, and compile notes, make sketches and enter data into. The portable, handheld VelociCalc. On-screen prompts and step-by-step instructions. Numerical Analysis Technical Reports Department of Computer Science University of Toronto. This site provides access to the Technical Reports of the Numerical Analysis and Scientific Computing Group of the Department of. Digital- Imaging and Optical Digital Data Disk Storage Systems. Digital- Imaging and Optical Digital Data Disk Storage Systems: Long- Term Access Strategies for Federal Agencies. July 1. 99. 4A Report by. The Technology Research Staff. The National Archives at College. Park. 86. 01 Adelphi Road. ARMY SYSTEMS INTEGRATION GUIDANCE. This section provides a general reference for applicable DoD and industry standards, architecture, and systems that define the context for AIS (i.e., terrestrial systems). NPL’s activity in this area underpins optical radiation and photonic measurements across a wide range of applications. In industrial sectors such as colour processing, food, transport, pharmaceuticals, lighting, digital film. Type or paste a DOI name into the text box. Your browser will take you to a Web page (URL) associated with that DOI name. Send questions or comments to [email protected]. Further documentation is available here. The Information Technology Examination Handbook InfoBase concept was developed by the Task Force on Examiner Education to provide field examiners in financial institution regulatory agencies with a quick source of introductory. College Park, Maryland 2. Appendix A: Federal Agency. Site Visit Reports Site Visit Selection. NARA's Technology Research Staff conducted a nationwide survey of Federal. Examples. of case file storage systems. Freedom. of Information Act. Other. systems visited maintain. The remaining systems. Case files: Official. Case files: Federal land. Case files/standard forms. Claims processing; royalty. US lands; government. Applications. and approvals for patent. Data files: Environmental. US. coastal and Great Lakes. Mixed records: Daily. Mixed records: Newly. Listing of Federal Agency. Of the fifteen Federal agency systems examined in detail, the range of responsibilities. Armed Forces units (3); Federal land management office (1); public health care. Freedom of Information Act processing unit (1). Detailed site descriptions. Federal agencies. SITE VISIT REPORT #1. AGENCY: Agency for. Toxic Substances and Disease. Registry SYSTEM: Toxicological. Profile Image System Public. Health Assessments Image. System Cost Recovery Image. System CONTACT: Sharon O. BACKGROUND. The mission of the Agency for Toxic Substances and Disease Registry (ATSDR) is to. In addition. the wide distribution of. These requesters include. Congressional staff and the. Federal Agencies and academia. SYSTEM CONFIGURATION. Date system installed: 1. System Installed by: Combination of OIRM staff and Vendor (Wang). Two optical disk drives. Communication Environment: Novell LAN interface between an IBM 9. Model 5. 20 (mainframe), a Wang VS 7. Quality Control: ATSDR. Operator. procedures specify that the. Scanner operators. A major image acceptance. Report components. PF (function). keys. This function key capability. ATSDR. scientists, allows users. Health Assessments. Summary/Executive Summary. Background/Introduction. Site Description and History. Site Visit. 3. 2. Demographics 3. 2. State and Local Health Data. Community Health Concerns. An intellectual challenge arose when ATSDR grappled with the philosophy of the. Storage Environment: A computer room environment with controlled. RETRIEVAL AND OUTPUT. ATSDR's imaging system automates an important segment of the agency's total. The first menu screen. After. user selection, the sections. Using the display. Display. Output: Users use 1. VGA color. monitors. Interoperability: Wang's Integrated Image System (WIIS) open image architecture. OVERVIEW OF SIGNIFICANT. ISSUES: Business Process Re- Engineering. Performed to obtain greater. Yes. The paper flow. Documents are not. They are now indexed. Access System: The ATSDR's indexing system enhances access to and preserves the. Legal Admissibility: ATSDR recognizes the potential legal implications of. Army. Corps of Engineers (USACE) SYSTEM: USACE ODI. Pilot Project CONTACT: Linda Worthington. USACE Records Administrator. Washington, DC AGENCY OVERVIEW: Effective utilization of. US Army Corps of Engineers. To. do this, the Corps employs. The. US Army Corps of Engineers. As a result of. this interest and the lack. US Army. Corps of Engineers chose. These benefits. will be based on: multiple. Corps of Engineers. Link documents to a Corporate Database. Provide remote access to images among test sites and HQUSACE personnel. Use and evaluate a Corps developed records management indexing system. Use and evaluate a Corps Scanning contract for digitizing E- size drawings and. Determine feasibility of importing digital microfiche and 3. Evaluate impact on LANs and the Corps WAN based on adding image traffic. Windows, Oracle SQL and imaging software. PC configuration (See Pilot Configuration Section). Mobile District, Mobile, Alabama. Albuquerque District, Albuquerque, New Mexico. Huntington District, Huntington, West Virginia. HQ Health and Safety Office, Washington, DCArmy Environmental Center, Aberdeen, MD. Each pilot system consists of the following major elements. Client/Server with Multifunction Optical Jukebox. Scan/Index Workstation. Retrieval Workstation Client/Server with Multifunction Optical Jukebox. UNIX Client Server with. SCSI. Multifunction Optical. Jukebox. Relational Database Software. Optical Disk Software. High Resolution Monitor, Dual Page 1. DPI. Image Scan/Display/Compression and Decompression Components. PC Operating System Software, Graphical User Interface Software. Imaging Software, and SQL Software. Desktop Laser Printer. PC Operating System Software, Graphical User Interface Software. Imaging Software, and SQL Software. OVERVIEW OF SIGNIFICANT. ISSUES Interagency agreements. The Corps of Engineers is. Federal Government. The Corps plans. to establish a working group. National Archives. Laser. Data Laser. View LVNET. Imaging System; LV- 6. Corvette. Video Boards for Image Compression. Display; LV- 8. 01. Scanner. Controller Cards; QEMM Extended. Memory Device Drivers. MHz PC with. two 1. MB external. Fujitsu magnetic disc drives. Scanning Workstations- -IBM. PC/AT compatible 8. Ricoh IS4. 00 Document Scanners. Indexing/QA Workstations- -IBM. PC/AT compatible 8. MB hard disks. Optical Disk Subsystem- -Sony. WDD- 6. 00 Disk Drive; Sony. WDC- 6. 10 Disk Controller. Sony WDA- 6. 10 5. Image Retrieval Workstations- -IBM. PC/AT compatible 8. MB hard disks; Hewlett- Packard. Laser Printers. ORACLE Relational Database. Management System version. ORACLE Lanserver for. UNIX; Oracle SQL*Net for. SQL*Forms serves as. Application Development. System. Technical System Specifications. Retrieval Components. SCO UNIX/ORACLE DATABASE SERVER (Qty=1)(For Database and Operating System Services)Gateway 2. Tower PC6. 4Mb Random Access Memory (RAM)Color VGA Monitor(2) 1. Gb Micropolis SCSI Hard Drive(2) 4. Mb Power Drive External SCSI Hard Drive. Equinox Mega. Port (1. COM 5. 03- 1. 6 Network Adapter. Mountain File. Safe 1. Plus External Tape Drive(1. External Hayes- compatible Modem. SCO UNIX System V Operating System. SCO TCP/IP Runtime System. Oracle Relational Database Management System Oracle SQL*Net TCP/IPMS- DOS/ORACLE CLIENT PC (Qty=3) (For Accounting Administration, System Administration. System Development)Gateway 2. Tower PC8. Mb Random Access Memory (RAM)Color VGA Monitor. Mb ESDI Hard Disk. EXOS 2. 05. T- 5. K Network Adapter. MS- DOS v. 5. 0. Oracle Tools for MS- DOSSQL*Net TCP/IP for DOSMicrodyne LAN Workplace for DOSMS- DOS PRINT SERVER & LASER PRINTER (Qty=1)(For Printing Document Images)NEC Power. Mate 4. 86. SX/2. PC2. Mb Random Access Memory (RAM)Samsung 1. Disposition of Original. Records: Designated as Permanent. Records. With approval from. Director, Bureau of Land. Management, and Director. Eastern States, retire. National. Archives after Project is. We are not. scanning or indexing the tract books. These problems. are likely to be exacerbated. The Commission regulates. US futures. exchanges, which offer active. Some off- exchange. Commission. jurisdiction. The Commission's. It reviews the terms. Contract diversification. Large regional. offices are maintained in. Chicago, IL, and New York. NY where many of the Nation's. Origins: The CFTC's management. Document. Management System was finalized. June 1. 99. 1. The imaging. February. 1. 99. 2, through an 8. A procurement. with Westco Automated Systems. Sales, Inc. This system. The system's. primary application is digital. Although public. access is not possible at. CFTC. public access bulletin board. SYSTEM CONFIGURATION. Date system installed: 1. The CFTC system operates as a series of interconnected servers using an existing. Banyan Vines network. The TIFF image. files are retrieved from. ASCII text files. Personal. Library Software. A 3. 86/2. 5. PC is the workstation controller. Calera OCR system. The Calera OCR processor. The converted. ASCII text data permanently. Documents from other. CFTC applications (i. The two 6. 00 MB magnetic hard disks on the PC. LMSI optical digital. The DOCEX system contains. The records. were removed from offices. January 1. 99. 1 by the combined. Allied troops as they advanced. Iraq and Kuwait. The DOCEX system. Date system installed: 1. SYSTEM CONFIGURATION. Document Scanners- -Two (2) Kodak Imagelink 9. D scanners equipped with. MB scanner memory, automatic document numbering system, OCR. Imaging Platform- -IBM Corp. PS/2 4. 86 class, Model 9. IBM database. management software, OS/2 driver with 1. MB memory, and an 8. XGA. monitor. Storage Media- -Magnetic hard disks for in- process data; 1. DAT) (total of 1. Document Retrieval- -Index: Knowledge- Based Management System software. AI Corp. Primary System Users: US. Army Intelligence Staff. DATA MIGRATION POLICY. Open Systems: Open systems architecture is an on- going DSMA strategic design. Martin, PERMS Program Manager. Ft. Belvoir, VA SUMMARY DESCRIPTION. The United States of America's. Armed Forces depend on rapid. The US Army recognizes. The. Army expects to receive other. PERMS. such as the ability to respond. The. Army's soldier records identification. The. Army's records repositories. This information is. Headquarters. Department of the Army (HQDA). These records. are retired to the National. Archives when they are no. Army. Louis records center consumed a majority of the. Army's personnel records created between 1. Dick. System 2. 00 updatable microfiche. Access- M retrieval equipment. The microfiche. Official Military Personnel. File format is based on. Performance Fiche (P- Fiche) used for evaluation and selection boards. Service Fiche (S- Fiche) used by career managers for general information. Restricted Fiche (R- Fiche) used to store historical information which may be. In 1. 98. 3, the consulting. Austin Associates studied. Army's overall personnel. The Austin Study. Subsequently. a pilot imaging project was. US Army Enlisted. Records Evaluation Center. EREC) in 1. 98. 6, a mission. In 1. 98. 6, the Secretary. Army directed that. ARPERCEN be corrected. Austin Study recommendations. ARPERCEN was. selected as the initial digital. Army personnel. records centers. A survey of two decades of progress. Abstract. This article presents a comprehensive overview of the hardware realizations of artificial neural network (ANN) models, known as hardware neural networks (HNN), appearing in academic studies as prototypes as well as in commercial use. HNN research has witnessed a steady progress for more than last two decades, though commercial adoption of the technology has been relatively slower. We study the overall progress in the field across all major ANN models, hardware design approaches, and applications. We outline underlying design approaches for mapping an ANN model onto a compact, reliable, and energy efficient hardware entailing computation and communication and survey a wide range of illustrative examples. Chip design approaches (digital, analog, hybrid, and FPGA based) at neuronal level and as neurochips realizing complete ANN models are studied. We specifically discuss, in detail, neuromorphic designs including spiking neural network hardware, cellular neural network implementations, reconfigurable FPGA based implementations, in particular, for stochastic ANN models, and optical implementations. Parallel digital implementations employing bit- slice, systolic, and SIMD architectures, implementations for associative neural memories, and RAM based implementations are also outlined. We trace the recent trends and explore potential future research directions. Keywords. Hardware neural network; Neurochip; Parallel neural architecture; Digital neural design; Analog neural design; Hybrid neural design; Neuromorphic system; FPGA based ANN implementation; CNN implementation; RAM based implementation; Optical neural network. Copyright . All rights reserved. Janardan Misra received his B. Tech. From 2. 00. Texas Instruments India (Pvt.) Ltd, India. Thereafter he received his M. Sc. After a brief teaching tenure between 2. Research lab at HTS Research, Bangalore, India. His research interests include ANN hardware, machine learning, artificial life, enterprise security, and formal methods. Indranil Saha received his B. Tech. From 2. 00. Research lab at Honeywell Technology Solutions, Bangalore, India. Presently, he is a graduate student at Computer Science Department of University of California, Los Angeles. His research interests include hardware neural networks, formal methods, and embedded software reliability.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. Archives
December 2016
Categories |