Wireless Sensor Networks (WSNs) when combined with various energy harvesting solutions managing to prolong the overall lifetime of the system and enhanced capabilities of the communication protocols used by modern sen...
Wireless Sensor Networks (WSNs) when combined with various energy harvesting solutions managing to prolong the overall lifetime of the system and enhanced capabilities of the communication protocols used by modern sensor nodes are efficiently used in are efficiently used in Smart Grid (SG), an evolutionary system for the modernization of existing power grids. However, wireless communication technology brings various types of security threats. In this study, firstly the use of WSNs for SG applications is presented. Second, the security related issues and challenges as well as the security threats are presented. In addition, proposed security mechanisms for WSN-based SG applications are discussed. Finally, an easy- to-implement and simple attack detection framework to prevent attacks directed to sink and gateway nodes with web interfaces is proposed and its efficiency is proved using a case study.
The aim of this paper is to show the usefulness of the multicriteria approach to optimize the Parallel Kinematic Machines (PKM). Variations of the kinematic performances index remain not constant throughout workspace....
作者：
Skogsvik, KenthThe author is from the Department of Accounting and Finance
Stockholm School of Economics Sweden. The article is based on his Ph.D. dissertation. He wishes to thank his advisor Professor Sven‐Erik Johansson for encouragement and advice. Also he is grateful for many helpful comments by Professor Nils Hakansson (University of California Berkeley) Matti Kinnunen and Eva Widhem. The computer programming for the project was executed by Matti Kinnunen and Eva Widhem. Financial support for the research was provided by Bankforskningsinstitutet and Carl‐Berthel Nathhorsts Vetenskapliga Stiftelse.
The AN/UYK‐502 Microcomputer is a full‐scale, general‐purpose 16‐bit militarized computer designed to emmulate the AN/UYK‐20 and AN/AYK‐14, and to be implemented in a shipboard system employing distributed syste...
One of the major difficulties in controlling software development project cost overruns and schedule delays has been developing practical and accurate software cost models. Software development could be modeled as an ...
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One of the major difficulties in controlling software development project cost overruns and schedule delays has been developing practical and accurate software cost models. Software development could be modeled as an economic production process and we therefore propose a theoretical approach to software cost modeling. Specifically, we present the Minimum Software Cost Model (MSCM), derived from economic production theory and systems optimization. The MSCM model is compared with other widely used software cost models, such as COCOMO and SLIM, on the basis of goodness of fit and quality of estimation using software project data sets available in the literature. Judged by both criteria, the MSCM model is comparable to, if not better than, the SLIM, and significantly better than the rest of the models. In addition, the MSCM model provides some insights about the behavior of software development processes and environment, which could be used to formulate guidelines for better software project management polic es and practices.
作者：
FAIRHEAD, DLHALL, CCSince graduating from Cleveland State University in 1965 with a Bachelor of Science degree in Mathematics
he has worked for the Navy at Annapolis participating in several different automation efforts ranging from design aids to surface ship bridge control. Mr. Fairhead has completed graduate work in Computer Science at the University of Maryland has a certificate in Computer Programming holds a patent and is a member of the Association for Computing Machinery (ACM). Upon graduation from Morgan State in 1962
Mr. Hall was employed as a physicist at the Naval Surface Warfare Center Carderock Division Annapolis until 1994. During that time period he served as program technical manager for propulsion technology and as senior project scientist for several automation projects including the Automated Ships Bridge project. Mr. Hall also served as a member of the initial Technical Director's Technology Application Team and of the Autonomic Ship Innovation Center Team. Mr. Hall is a member of the American Institute of Physics and Sigma Pi Sigma (National Physics Honor Society).
A growing concern about the shrinking size of the U.S. Navy budget and the pool from which selections will be made to ''man'' U. S. Navy shipboard systems has led to investigations on achieving improve...
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A growing concern about the shrinking size of the U.S. Navy budget and the pool from which selections will be made to ''man'' U. S. Navy shipboard systems has led to investigations on achieving improvements in affordability and operational effectiveness. One such investigation has resulted in the development of the Standard Monitoring and Control System (SMCS), a modular, open architecture control system which includes the control system components for propulsion, electric plant, auxiliaries, and damage control. The first major technology upgrade to SMCS will entail the insertion of Artificial Intelligence (AI) technologies into HM&E monitoring and control applications. The Intelligent Machinery Control Integration Task (IMCI) was established to provide a structural approach for this major technology upgrade. As part of the first phase of IMCI, an identification of intelligent control requirements, an assessment of AI technologies, and a survey of intelligent control applications were performed. This paper lists those HM&E-related shipboard operational requirements from which intelligent machinery control requirements will be identified. Also, there is an initial assessment of AI-related reasoning and the following AI technologies, knowledge-based systems, fuzzy logic, neural nets, and genetic algorithms. The survey provided some insight into applying AI technologies to SMCS shipboard operational requirements.
When some suppliers offer trade credit periods and price discounts to retailers in order to increase the demand of their products, retailers have to face different types of discount offers and credits within which the...
When some suppliers offer trade credit periods and price discounts to retailers in order to increase the demand of their products, retailers have to face different types of discount offers and credits within which they have to take a decision which is the best offer for them to make more profit. The retailers try to buy perfect-quality items at a reasonable price, and also they try to invest returns obtained by selling those items in such a manner that their business is not hampered. In this point of view, we consider an economic order quantity (EOQ) model for various types of time-dependent demand when delay in payment and price discount are permitted by suppliers to retailers. The models of various demand patterns are discussed analytically. Some numerical examples and graphical representations are considered to illustrate the model.
Let G = ( V , E ) be a simple connected undirected graph. Each vertex v ∈ V has a cost c ( v ) and provides a positive coverage radius R ( v ). A distance d uv is associated with each edge { u , v } ∈ E, and d ( u ,...
Let G = ( V , E ) be a simple connected undirected graph. Each vertex v ∈ V has a cost c ( v ) and provides a positive coverage radius R ( v ). A distance d uv is associated with each edge { u , v } ∈ E, and d ( u , v ) is the shortest distance between every pair of vertices u , v ∈ V . A vertex v can cover all vertices that lie within the distance R ( v ), except the vertex itself. The conditional covering problem is to minimize the sum of the costs required to cover all the vertices in G . This problem is NP-complete for general graphs, even it remains NP-complete for chordal graphs. In this paper, an O ( n 2 ) time algorithm to solve a special case of the problem in a trapezoid graph is proposed, where n is the number of vertices of the graph. In this special
case, d uv = 1 for every edge { u , v } ∈ E , c ( v ) = c for every v ∈ V ( G ), and R ( v ) = R , an integer >1, for every v ∈ V ( G ). A new data structure on trapezoid graphs is used to solve the problem.
The increasing prevalence of botnet attacks in IoT networks has led to the development of deep learning techniques for their detection. However, conventional centralized deep learning models pose challenges in simulta...
The increasing prevalence of botnet attacks in IoT networks has led to the development of deep learning techniques for their detection. However, conventional centralized deep learning models pose challenges in simultaneously ensuring user data privacy and detecting botnet attacks. To address this issue, this study evaluates the efficacy of Federated Learning (FL) in detecting IoT malware traffic while preserving user privacy. The study employs N-BaIoT, a dataset of real-world IoT network traffic infected by malware, and compares the effectiveness of FL models using Convolutional Neural Network, Long Short-Term Memory, and Gated Recurrent Unit models with a centralized approach. The results indicate that FL can achieve high performance in detecting abnormal traffic in IoT networks, with the CNN model yielding the best results among the three models evaluated. The study recommends the use of FL for IoT malware traffic detection due to its ability to preserve data privacy.
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