Symmetry-Adapted Machine Learning for Information Security

Symmetry-adapted machine learning has shown encouraging ability to mitigate the security risks in information and communication technology (ICT) systems. It is a subset of artificial intelligence (AI) that relies on the principles of processing future events by learning past events or historical data. The autonomous nature of symmetry-adapted machine learning supports effective data processing and analysis for security detection in ICT systems without the interference of human authorities. Many industries are developing machine-learning-adapted solutions to support security for smart hardware, distributed computing, and the cloud. In our Special Issue book, we focus on the deployment of symmetry-adapted machine learning for information security in various application areas. This security approach can support effective methods to handle the dynamic nature of security attacks by extraction and analysis of data to identify hidden patterns of data. The main topics of this Issue include malware classification, an intrusion detection system, image watermarking, color image watermarking, battlefield target aggregation behavior recognition model, IP camera, Internet of Things (IoT) security, service function chain, indoor positioning system, and crypto-analysis

Design and Control of Power Converters 2019

In this book, 20 papers focused on different fields of power electronics are gathered. Approximately half of the papers are focused on different control issues and techniques, ranging from the computer-aided design of digital compensators to more specific approaches such as fuzzy or sliding control techniques. The rest of the papers are focused on the design of novel topologies. The fields in which these controls and topologies are applied are varied: MMCs, photovoltaic systems, supercapacitors and traction systems, LEDs, wireless power transfer, etc

Service-oriented models for audiovisual content storage

What are the important topics to understand if involved with storage services to hold digital audiovisual content? This report takes a look at how content is created and moves into and out of storage; the storage service value networks and architectures found now and expected in the future; what sort of data transfer is expected to and from an audiovisual archive; what transfer protocols to use; and a summary of security and interface issues

Design/cost tradeoff studies. Appendix A. Supporting analyses and tradeoffs, book 2. Earth Observatory Satellite system definition study (EOS)

Attitude reference systems for use with the Earth Observatory Satellite (EOS) are described. The systems considered are fixed and gimbaled star trackers, star mappers, and digital sun sensors. Covariance analyses were performed to determine performance for the most promising candidate in low altitude and synchronous orbits. The performance of attitude estimators that employ gyroscopes which are periodically updated by a star sensor is established by a single axis covariance analysis. The other systems considered are: (1) the propulsion system design, (2) electric power and electrical integration, (3) thermal control, (4) ground data processing, and (5) the test plan and cost reduction aspects of observatory integration and test

Space Programs Summary No. 37-52, Volume 2 for the Period 1 May to 30 June 1968. the Deep Space Network

Mission support, advanced engineering, operations and systems analysis, and technical facilities programs related to Deep Space Networ

Spartan Daily, October 10, 1968

Volume 56, Issue 12https://scholarworks.sjsu.edu/spartandaily/5159/thumbnail.jp

Spartan Daily, October 10, 1968

Volume 56, Issue 12https://scholarworks.sjsu.edu/spartandaily/5159/thumbnail.jp

Advanced monitoring and advice integrating a comprehensive sensor network for improved operational availability

Thesis (Sc.D.)--Massachusetts Institute of Technology, Dept. of Nuclear Engineering, 1998.Includes bibliographical references (leaves 247-250).This research broadens the prime concern of nuclear power plant operations from safe performance to both economic and safe performance through monitoring and advice. First, rotating machines such as turbine generators and reactor coolant pumps are identified as main contributors for the lost availability through the review of pressurized water reactor (PWR) forced outage records. The integrated architecture utilizes comprehensive sensor networks incorporating modern signal processing systems, advisory systems for sensor validation, and advisory systems for the intelligent diagnosis and maintenance (D&M). For the development of comprehensive sensor networks for complex target systems, an integrated method incorporating a structural system hierarchy and a functional system hierarchy, a fault-symptom matrix, sensor selection criteria, a sensor installation feasibility study, and advanced instrumentation techniques is formulated. Such advanced instrumentation techniques reflect the state of the art in advancement of data acquisition, data processing, and data integration techniques. Once the sensor types and locations are selected definitively, they are incorporated into drawings using a computer aided design tool (e.g. AutoCAD) program in order to make sure that it would be possible to install the comprehensive set of recommended sensors on each specific component studied. The second major part of this study is the development of an intelligent D&M advisory system integrating a comprehensive sensor network. This advisory system employs a Bayesian Belief Network (BBN) as a high level reasoning tool for incorporating inherent uncertainty for use in probabilistic inference. It is demonstrated that a rule-based knowledge representation is simply a special case of a general BBN by showing how the general BBN can be reduced to a rule-based representation. The presented major steps for constructing the BBN based generic inference algorithms are applied to systematic elicitation and synthesis of various levels of experts' knowledge. Prototype D&M algorithms are represented explicitly through topological symbols and links between them in a causal direction. This D&M advisory system is set up with an easy-to-learn, user-friendly, man-machine interface and modern graphics for efficient operator interactions. As new pieces of evidence from sensor networks developed are entered into this system, it provides operational advice concerning both availability and safety so that the operator is able to determine the likely failure modes, diagnose the system state, locate root causes, and take the most advantageous action. Thereby, the comprehensive monitoring supported advice improves operational availability.bu Chang Woo Kang.Sc.D

Local Government Public Works Standards and Specifications

This document is designed to aid in the development of standards for construction specifications and in the design and bidding of public works improvements and should not be used in lieu thereof. Local Government Public Works Standards and Specifications was developed to provide Tennessee cities with guidelines for construction projects. MTAS recommends, and T.C.A. § 62-2-107 requires, that public works projects over $25,000 have plans and specifications prepared by a registered architect, engineer, or landscape architect. Therefore, users should be careful in adopting and using these guidelines. They are not intended to be all-inclusive. The construction standards and specifications presented here are not minimum standards. They are based on recognized engineering practices, and they are intended to produce quality projects

Local Government Public Works Standards and Specifications (2007)

This document was developed to provide Tennessee cities with guidelines for construction projects. It includes guidelines for construction standards, materials specifications, design criteria, and contract documents to be used for streets, storm sewers, sanitary sewers, and water distribution systems