The Experts below are selected from a list of 75 Experts worldwide ranked by ideXlab platform
Jiang-bo Zheng - One of the best experts on this subject based on the ideXlab platform.
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A Modeling Framework for the Planning of Strategic Supply Chain Viewed from Complex Network
Journal of Service Science and Management, 2009Co-Authors: Jiang-bo ZhengAbstract:Based on the theory of complex network, this paper focuses on the planning of logistics nodes for strategic supply chain. I propose a practical mathematical modeling framework that simultaneously captures many practical aspects but still understated in the existing literatures of network planning problems. Moreover, Capacity expansion and reduction sce-narios are also analyzed as well as Modular Capacity shifts for the fluctuation of demands. So this paper is of impor-tance for the research of network planning in strategic supply chain systems.
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ISECS - A Modeling Framework for the Planning of Logistics Nodes in Strategic Supply Chain Based on Complex Network
2008 International Symposium on Electronic Commerce and Security, 2008Co-Authors: Jiang-bo ZhengAbstract:Based on the theory of complex network, this paper focuses on the network planning of logistics nodes for strategic supply chain and proposes a practical mathematical modeling framework that captures many practical aspects of network design problems simultaneously but which have not received adequate attention in the existing literatures. Moreover, Capacity expansion and reduction scenarios are also analyzed as well as Modular Capacity shifts. So this is of great importance for the research of strategic supply chain systems.
H. Sacher - One of the best experts on this subject based on the ideXlab platform.
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An expert system-based approach to Capacity allocation in a multiservice application environment
IEEE Network, 1991Co-Authors: Shervin Erfani, Manu Malek, H. SacherAbstract:The problem of bandwidth allocation for multiservice packet networks is discussed, and an expert system solution approach for solving it is described. The approach requires a minimal amount of processing, is very efficient, and has a fast response time. The implementation is based on Modular Capacity expansions and a priori limits on the number of connections for each service type. This approach can perform near-optimal Capacity allocation in real time by using heuristic knowledge to virtually eliminate the required computations in this process. This implementation strategy ensures that each service demand meets its objectives. Concurrency control of this distributed expert system is considered. The advantages of the implementation in providing the ability to make rational decisions in an environment of uncertainty and imprecision, such as in the presence of nonsystematic overloads and network failures, are discussed. >
Shervin Erfani - One of the best experts on this subject based on the ideXlab platform.
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An expert system-based approach to Capacity allocation in a multiservice application environment
IEEE Network, 1991Co-Authors: Shervin Erfani, Manu Malek, H. SacherAbstract:The problem of bandwidth allocation for multiservice packet networks is discussed, and an expert system solution approach for solving it is described. The approach requires a minimal amount of processing, is very efficient, and has a fast response time. The implementation is based on Modular Capacity expansions and a priori limits on the number of connections for each service type. This approach can perform near-optimal Capacity allocation in real time by using heuristic knowledge to virtually eliminate the required computations in this process. This implementation strategy ensures that each service demand meets its objectives. Concurrency control of this distributed expert system is considered. The advantages of the implementation in providing the ability to make rational decisions in an environment of uncertainty and imprecision, such as in the presence of nonsystematic overloads and network failures, are discussed. >
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An expert system-based approach to Capacity allocation in a multiservice application environment
IEEE Global Telecommunications Conference 1989 and Exhibition. 'Communications Technology for the 1990s and Beyond, 1Co-Authors: Shervin Erfani, Manu Malek, H. SacharAbstract:The authors discuss the application of expert systems and intelligent control to the transmission link Capacity allocation problem. They present a structure for an expert system Capacity allocator (ESCA). The structure allows for dynamic allocation of transmission link capacities to support traffic loads at desired performance levels. The ESCA implementation is based on Modular Capacity expansions and a priori limits on the number of connections for each service type. This approach can perform near-optimal Capacity allocation in real-time by using heuristic knowledge to virtually eliminate the required computations in this process. The authors discuss the advantages of the ESCA implementation in providing the ability to make rational decisions in an environment of uncertainty and imprecision, such as nonsystematic overloads and network failures. >
Rei Safavi-naini - One of the best experts on this subject based on the ideXlab platform.
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Hash-then-Encode: A Modular Semantically Secure Wiretap Code
Proceedings of the 2nd Workshop on Communication Security, 2018Co-Authors: Saeed Sharifian, Fuchun Lin, Rei Safavi-nainiAbstract:WeSharifian, SetarehproposeLin, FuchunaSafavi-Naini, Reihaneh Modular construction of a semantically secure wiretap code that achieves secrecy Capacity for a large class of wiretap channels. Security of the construction is proved by interpreting the construction as an instance of an invertible extractor, and use the framework in Bellare et al. [1] to complete the proof. The construction has computation for encoding and decoding equivalent to hashing, and the smallest effective transmission rate among known Modular Capacity achieving constructions. We also give a Modular construction of invertible Universal Hash Functions (UHF) from an XOR Universal Hash Functions that is of independent interest.
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Hash-then-Encode: A Modular Semantically Secure Wiretap Code
Proceedings of the 2nd Workshop on Communication Security, 2017Co-Authors: Setareh Sharifian, Fuchun Lin, Rei Safavi-nainiAbstract:We propose a Modular construction of a semantically secure wiretap code that achieves secrecy Capacity for a large class of wiretap channels. Security of the construction is proved by interpreting the construction as an instance of an invertible extractor, and use the framework in Bellare et al. [1] to complete the proof. The construction has computation for encoding and decoding equivalent to hashing, and the smallest effective transmission rate among known Modular Capacity achieving constructions. We also give a Modular construction of invertible Universal Hash Functions (UHF) from an XOR Universal Hash Functions that is of independent interest.
Manu Malek - One of the best experts on this subject based on the ideXlab platform.
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An expert system-based approach to Capacity allocation in a multiservice application environment
IEEE Network, 1991Co-Authors: Shervin Erfani, Manu Malek, H. SacherAbstract:The problem of bandwidth allocation for multiservice packet networks is discussed, and an expert system solution approach for solving it is described. The approach requires a minimal amount of processing, is very efficient, and has a fast response time. The implementation is based on Modular Capacity expansions and a priori limits on the number of connections for each service type. This approach can perform near-optimal Capacity allocation in real time by using heuristic knowledge to virtually eliminate the required computations in this process. This implementation strategy ensures that each service demand meets its objectives. Concurrency control of this distributed expert system is considered. The advantages of the implementation in providing the ability to make rational decisions in an environment of uncertainty and imprecision, such as in the presence of nonsystematic overloads and network failures, are discussed. >
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An expert system-based approach to Capacity allocation in a multiservice application environment
IEEE Global Telecommunications Conference 1989 and Exhibition. 'Communications Technology for the 1990s and Beyond, 1Co-Authors: Shervin Erfani, Manu Malek, H. SacharAbstract:The authors discuss the application of expert systems and intelligent control to the transmission link Capacity allocation problem. They present a structure for an expert system Capacity allocator (ESCA). The structure allows for dynamic allocation of transmission link capacities to support traffic loads at desired performance levels. The ESCA implementation is based on Modular Capacity expansions and a priori limits on the number of connections for each service type. This approach can perform near-optimal Capacity allocation in real-time by using heuristic knowledge to virtually eliminate the required computations in this process. The authors discuss the advantages of the ESCA implementation in providing the ability to make rational decisions in an environment of uncertainty and imprecision, such as nonsystematic overloads and network failures. >