scholarly journals 3D Spatial Layouts Using A-Teams

1998 ◽  
Author(s):  
Sanjay Sachdev ◽  
Christiaan J. J. Paredis ◽  
Satyandra K. Gupta ◽  
Sarosh N. Talukdar
Keyword(s):  
Integrated Circuits ◽  
Ad Hoc ◽  
Spatial Layout ◽  
New Agents ◽  
Agent Based ◽  
3 Dimensional ◽  
Task Requirements ◽  
Spatial Layouts ◽  
Traditional Approaches ◽  
Connection Cost

Abstract Spatial layout is the problem of arranging a set of components in an enclosure such that a set of objectives and constraints is satisfied. The constraints may include non-interference of objects, accessibility requirements and connection cost limits. Spatial layout problems are found primarily in the domains of electrical engineering and mechanical engineering in the design of integrated circuits and mechanical or electromechanical artifacts. Traditional approaches include ad-hoc (or specialized) heuristics, Genetic Algorithms and Simulated Annealing. The A-Teams approach provides a way of synergistically combining these approaches in a modular agent based fashion. A-Teams are also open to the addition of new agents. Modifications in the task requirements translate to modifications in the agent mix. In this paper we describe how modular A-Team based optimization can be used to solve 3 dimensional spatial layout problems.

scholarly journals Detection of Black Hole Attack Using Honeypot Agent-Based Scheme with Deep Learning Technique on MANET

2021 ◽  
Vol 26 (6) ◽  
pp. 549-557
Author(s):  
Venkatasubramanian Srinivasan
Keyword(s):  
Black Hole ◽  
Intelligent Agents ◽  
Ad Hoc ◽  
Short Term Memory ◽  
Detection Methods ◽  
Delivery Ratio ◽  
Mobile Nodes ◽  
Black Hole Attack ◽  
Detection Scheme ◽  
Agent Based

Mobile Ad-Hoc Networks (MANETs) due to their reconfigurable nature are being integrated into new and futuristic knowledge such as Internet of Things (IoT), cloud, reconfigurable networks, etc. To attain such credibility of integration, the routing protocols associated with these mobile nodes have to connect, perform and facilitate routing that offers a high level of security and resistance to all possible threats and security issues that may emanate in the network. One of the solutions used to maintain network security is intrusion detection systems (IDSs). This article primarily emphasis on the network's susceptibility to a suction assault known as a black hole attack. The investigations about the employment of intelligent agents called Honeypot Agent-based detection scheme (HPAS) with Long-Short Term Memory (LSTM) in identifying such assaults. Hence, the proposed method is named HPAS-LSTM, where honeypots are roaming virtual software managers that create Route Request (RREQ) packets to attract and entrap black hole attackers. Extensive model results utilizing the ns-2 simulator are used to demonstrate the presence of the suggested detection technique. The simulation outcomes demonstrate that the suggested technique outperforms current black hole detection methods in terms of throughput (TH), packet loss rate (PLR), packet delivery ratio (PDR), and total network delay (TND).

scholarly journals Effectiveness of Physical Barriers Installation for Prevention of Incidents in Mexico City’s Subway System

2017 ◽  
Vol 2017 ◽  
pp. 1-8 ◽  
Author(s):  
Gerardo de Jesús Portillo-Villasana ◽  
Aida Huerta-Barrientos ◽  
Yazmin Dillarza Andrade
Keyword(s):  
Simulation Model ◽  
Mexico City ◽  
Public Health Problem ◽  
Subway Station ◽  
Agent Based Simulation ◽  
Agent Based ◽  
Subway System ◽  
Physical Barriers ◽  
Traditional Approaches ◽  
Made In

Nowadays, suicides inside the installations of subway platforms are considered a public health problem in Mexico City. One solution to prevent them is the installation of physical barriers, but their high cost is unattractive for governmental authorities. Traditional approaches of research on the effectiveness of physical barriers for preventing suicides have been limited to analyzing statistically the effects of installing platform screen doors and blue lights on subway platforms. Although considerable progress has been made in this field, many important issues remain unexplored. This study investigates the effectiveness of physical barriers installation for prevention of incidents in Mexico City subway system by means of an agent-based simulation model. Firstly, the design of physical barriers for prevention of incidents in Mexico City subway system is described. Secondly, a conceptual model of the Zócalo station subway platform is presented. Thirdly, an agent-based simulation model of Zócalo station subway platform is implemented using AnyLogic™ software considering normal operations of the subway station. This study shows that physical barriers installation on the Zócalo subway platform can effectively prevent 76% of passenger’s suicides.

Agent-Based Context-Aware Ad Hoc Communication

2002 ◽  
pp. 105-118 ◽  
Author(s):  
Mohamed Khedr ◽  
Ahmed Karmouch ◽  
Ramiro Liscano ◽  
Tom Gray
Keyword(s):  
Ad Hoc ◽  
Context Aware ◽  
Agent Based

3D-IC Integration Using D2C or D2W Alignment Schemes Together with Local Oxide Reduction

2011 ◽  
Vol 2011 (DPC) ◽  
pp. 001291-001315
Author(s):  
Gilbert Lecarpentier ◽  
Jean-Stephane Mottet ◽  
Keith Cooper ◽  
Michael Stead
Keyword(s):  
Integrated Circuits ◽  
High Density ◽  
Oxide Reduction ◽  
3D Ic ◽  
3 Dimensional ◽  
Temperature Requirements

3-Dimensional interconnection of high density integrated circuits enables building devices with greater functionality with higher performances in a smaller space. This paper explores the chip-to-chip and chip-to-wafer alignment and the associated bonding techniques such as in-situ reflow or thermocompression with a local oxide reduction which contributes to higher yield together with reduction of the force or temperature requirements.

Role of Agent Based Financial Market Models in Global Product Development

2008 ◽  
Author(s):  
Mario E. Inchiosa ◽  
Bipin Chadha
Keyword(s):  
Product Development ◽  
Financial Markets ◽  
Firm Growth ◽  
Ad Hoc ◽  
Random Number Generator ◽  
Agent Based ◽  
Stock Traders ◽  
Heavy Tailed ◽  
Non Gaussian

This paper describes the need for understanding the role of financial markets in successful product development in the global context. Agent-based models distinguish themselves by their ability to generate many real world phenomena endogenously, rather than as a result of ad-hoc assumptions. We report on a model of global financial markets employing the following agents: countries, firms, stock traders, country banks, and a global bank. These agents interact with goods, credit, currency, and stock markets. The model endogenously generated quantitative and qualitative features of real economies, including skewed firm sizes, skewed country GNP’s, skewed stock trader portfolio values, and heavy-tailed non-Gaussian firm growth rate, exchange rate fluctuation, and stock return distributions. Multiple runs were performed with different random number generator seeds to investigate the stability or instability of the economies grown by the model. Both stable and unstable country economies were detected. The multiple runs also verified conclusions drawn from analyzing individual runs showing how small countries could be buffeted by fluctuations in larger countries. Such a model can be used by product development organizations to understand the impacts of their product development decisions in the context of dynamic and unpredictable financial markets.

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