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Convex Analysisの二,三の進展について

Praise for the Third Edition: "This is one of the best books available. Its excellent organizational structure allows quick reference to specific models and its clear presentation . . . solidifies the understanding of the concepts being presented."IIE Transactions on Operations EngineeringThoroughly revised and expanded to reflect the latest developments in the field, Fundamentals of Queueing Theory, Fourth Edition continues to present the basic statistical principles that are necessary to analyze the probabilistic nature of queues. Rather than presenting a narrow focus on the subject, this update illustrates the wide-reaching, fundamental concepts in queueing theory and its applications to diverse areas such as computer science, engineering, business, and operations research.This update takes a numerical approach to understanding and making probable estimations relating to queues, with a comprehensive outline of simple and more advanced queueing models. Newly featured topics of the Fourth Edition include:Retrial queuesApproximations for queueing networksNumerical inversion of transformsDetermining the appropriate number of servers to balance quality and cost of serviceEach chapter provides a self-contained presentation of key concepts and formulae, allowing readers to work with each section independently, while a summary table at the end of the book outlines the types of queues that have been discussed and their results. In addition, two new appendices have been added, discussing transforms and generating functions as well as the fundamentals of differential and difference equations. New examples are now included along with problems that incorporate QtsPlus software, which is freely available via the book's related Web site.With its accessible style and wealth of real-world examples, Fundamentals of Queueing Theory, Fourth Edition is an ideal book for courses on queueing theory at the upper-undergraduate and graduate levels. It is also a valuable resource for researchers and practitioners who analyze congestion in the fields of telecommunications, transportation, aviation, and management science.

Fundamentals of Queueing Theory

Computer and Robot Vision Vol. 1, by R.M. Haralick and Linda G. Shapiro, Addison-Wesley, 1992, ISBN 0-201-10887-1.

Computer and Robot Vision

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[서평]「Computer Organization and Design, The Hardware/Software Interface」

A modular intelligent transportation system, comprising an environmentally protected enclosure, a system communications bus, a processor module, communicating with said bus, having a image data input and an audio input, the processor module analyzing the image data and/or audio input for data patterns represented therein, having at least one available option slot, a power supply, and a communication link for external communications, in which at least one available option slot can be occupied by a wireless local area network access point, having a communications path between said communications link and said wireless access point, or other modular components.

Modular intelligent transportation system

Improving Efficiency of Embedded Multi-core Platforms with Scratchpad Memories

This paper proposes an approach to enable automatic generation of probable semantic hypotheses for a given set of collected observations for forensic visual surveillance. As video analytic power exploited in visual surveillance is getting matured, the more automatically generated intermediate semantic metadata became available. In the sense of forensic reuse of such data, the majority of approaches have been focused on specific semantic query based scene analysis. However, in reality, there are often cases in which it is more natural to reason about the most probable semantic explanation of a scene given a collection of specific semantic evidences. In general, this type of diagnostic reasoning is known as abduction. To enable such a semantic reasoning, in this paper, we propose a layered reasoning pipeline that combines abductive logic programming together with backward and forward chaining based deductive logic programming. To rate derived hypotheses, we apply subjective logic. We present a conceptual case study in a distributed camera based scenario. The case study shows the potential and feasibility of the proposed approach for forensic analysis of visual surveillance data.

A reasoning approach to enable abductive semantic explanation upon collected observations for forensic visual surveillance

Single-Event-Upsets in synchronous register-based designs are a severe problem for safety-critical applications. Exact and detailed error rate estimations are needed to determinea system’s level of reliability. Available methods for estimation consider only special effects, use special reliability models or are computationally intensive. We present an innovative method that is able to calculate the architectural vulnerability factor (AVF)of any RT-level circuit description by applying time-reversed stimulus values. This method, which we call Backwards Analysis, considers all major masking effects (logic masking, information lifetime, timing derating, transitive masking) in a single algorithm and delivers results in several levels of detail from average AVF through sensitivity waveforms. The results show the critical parts and states of a design, which could be used for reliability assessment and selective hardening of the circuit to reach a target failure rate.

Architectural Vulnerability Factor Estimation with Backwards Analysis

Summary form only given. For the MPEG-7 standard, a binary format for the encoding of XML data has been developed that meets a set of requirements that was derived from a wide range of targeted applications. The resulting key features of the binary format are: high data compression (up to 98% for the document structure), provision of streaming, dynamic update of the document structure, random order of transmission of XML elements as well as fast random access of data entities in the compressed stream. To provide these functionalities, a novel, schema-aware approach was taken that exploits the knowledge of standardized MPEG-7 schema. The XML schema definition is used to assign codes to the individual children of an XML element. These codes are signalled in binary format to select nodes in the XML description tree. The binary format bit stream is organized as a sequence of access units. Each access unit can be decoded independently and contains information about a fragment of the description (fragment payload) and where to place the fragment in the current tree (context path). Compared to the standard text compressor ZIP, or the XML-optimized tool XMill, the MPEG-7 binary format achieves a 2-5 times better compression of the document structure and provides additional functionalities. These increase the flexibility and make it useful in broadcast applications and scenarios with limited bandwidth.

MPEG-7 binary format for XML data

We present AnaCoNGA, an analytical co-design methodology, which enables two genetic algorithms to evaluate the fitness of design decisions on layer-wise quantization of a neural network and hardware (HW) resource allocation. We embed a hardware architecture search (HAS) algorithm into a quantization strategy search (QSS) algorithm to evaluate the hardware design Pareto-front of each considered quantization strategy. We harness the speed and flexibility of analytical HW-modeling to enable parallel HW-CNN co-design. With this approach, the QSS is focused on seeking high-accuracy quantization strategies which are guaranteed to have efficient hardware designs at the end of the search. Through AnaCoNGA, we improve the accuracy by 2.88 p.p. with respect to a uniform 2-bit ResNet20 on CIFAR-10, and achieve a 35% and 37% improvement in latency and DRAM accesses, while reducing LUT and BRAM resources by 9% and 59% respectively, when compared to a standard edge variant of the accelerator. The nested genetic algorithm formulation also reduces the search time by 51% compared to an equivalent, sequential co-design formulation.

Walter Stechele

Papers

Improving Efficiency of Embedded Multi-core Platforms with Scratchpad Memories

A reasoning approach to enable abductive semantic explanation upon collected observations for forensic visual surveillance

Architectural Vulnerability Factor Estimation with Backwards Analysis

MPEG-7 binary format for XML data

AnaCoNGA: Analytical HW-CNN Co-Design Using Nested Genetic Algorithms