Design and Implementation of Multi Agentbased Information Fusion System for Decision Making Support (A Case Study on Military Operation)

Quick, accurate, and complete information is highly required for supporting strategically impact decision making in a Military Operation (MO) in order to reduce the decision cycle and to minimize the loss. For that purpose, we propose, design and implement a hierarchical Multi Agentbased Information Fusion System for Decision Making Support (MAIFSDMS). The information fusion is implemented by applying Maximum Score of the Total Sum of Joint Probabilities (MSJP) fusion method and is done by a collection of Information Fusion Agents (IFA) that forms a multiagent system. MAIFS uses a combination of generalization of Dasarathy and Joint Director's Laboratory (JDL) process models for information fusion mechanism. Information fusion products that are displayed in graphical forms provide comprehensive information regarding the MO's area dynamics. By observing the graphics resulted from the information fusion, the commandant will have situational awareness and knowledge in order to make the most accurate strategic de cision as fast as possible

Cognitive Artificial Intelligence: Concept and Applications for Humankind

Computation within the human brain is not possible to be emulated 100% in artificial intelligence machines. Human brain has an awesome mechanism when performing computation with new knowledge as the end result. In this chapter, we will show a new approach for emulating the computation that occurs within the human brain to obtain new knowledge as the time passes and makes the knowledge to become newer. Based on this phenomenon, we have built an intelligent system called the Knowledge-Growing System (KGS). This approach is the basis for designing an agent that has ability to think and act rationally like a human, which is called the cognitive agent. Our cognitive modeling approach has resulted in a model of human information processing and a technique called Arwin-Adang-Aciek-Sembiring (A3S). This brain-inspired method opens a new perspective in AI known as cognitive artificial intelligence (CAI). CAI computation can be applied to various applications, namely: (1) knowledge extraction in an integrated information system, (2) probabilistic cognitive robot and coordination among autonomous agent systems, (3) human health detection, and (4) electrical instrument measurement. CAI provides a wide opportunity to yield various technologies and intelligent instrumentations as well as to encourage the development of cognitive science, which then encourages the intelligent systems approach to human intelligence

Experimental Study of an Aluminum-Polysilicon Thermopile for Implementation of Airflow Sensor on Silicon Chip

A multi-directional airflow sensor has been realized. The essential part of  the  considered  sensor  is  a  thermopile  configuration,  which  enables  the measurement  of  flow  speed  and  flow  direction.  The  thermopile  is  a  series arrangement  of  eight  thermocouples.  A  thermocouple  converts  a  difference  in temperature  into  an  electrical  signal,  by  means  of  the  Seebeck  effect .  The thermocouples  are  made  of  aluminum-N-type  polysilicon  junctions.  The incoming  flow  is  heated  and  the  degree  of  heat  transfer  by  convection  to  the flow, depends on the speed of the flow; the faster the flow the smaller the heat transfer,  which leads to a smaller (Seebeck) output  voltage of  the thermopiles. After  signal  conditioning  -  i.e.,  filtering  and  amplification  by  means  of  an amplification system  -  the electrical output signals of the thermopiles are further signal-processed by applying analog-to-digital signal conversion, so that finally the flow speed and the flow direction can be properly displayed on a computer screen. The measured values of the Seebeck coefficient or thermopower (S) were in the range of: 0.43 to 0.68 mV/K which are in good agreement with the values found in the literature: 0.5 to 0.7 mV/K. Moreover, it  was found that the  flow speed  Uï‚¥ is  proportional  to  the  reciprocal  value  of  the  square  of  the  output voltage of the outgoing thermopile

Attacking AES-Masking Encryption Device with Correlation Power Analysis

Modern communication system use cryptography algorithm to ensure data still confidentiality, integrity, and authentic. There is a new vulnerability in a cryptographic algorithm when implemented on a hardware device. This vulnerability is considered capable of uncovering a secret key used in a cryptographic algorithm. This technique is known as a power analysis attack. Previous and other research introduces countermeasure to countering this new vulnerability. Some researchers suggest using logic level with encoding the AES. The countermeasure using logic is meager cost and efficient. The contribution of this paper is to analyze CPA on encryption device that has been given logic level countermeasure. Our finding of this paper is the use of encoding with one-hot masking technique does not provide the maximum countermeasure effect against CPA-based attacks. In this research, CPA attack can be successfully revealing the AES secret-ke

Multi-agent information-inferencing fusion system for decision support system

In this paper we address the utilization of multi-agent approach to an information-inferencing fusion system.Information-inferencing fusion is an emulation of the way human fuses information delivered by human sensing organs after observing a phenomenon in his/her environment.The fused information is used as the basis for making a decision or an action to face the current situation or anticipate the situation that can probably occur in the future.This human capability is then emulated to Multi-Agent Information-inferencing Fusion System (MAIIFS) based on A3S (ArwinAdang-Aciek-Sembiring). From the results presented in this paper, the A3S method information-inferencing fusion method can deliver comprehensive information in a very quick manner so the decision maker can have situation awareness quicker.Therefore, he can to make the decision in accurate and quick manner

Architecture design for a multi-sensor information fusion processor

This paper discusses the design of the architecture of an information fusion processor. This processor emulates the way of human thinking, namely by drawing conclusions from the obtained collection of information. Architecture design for this processor is based on Knowledge Growing System (KGS) algorithm. KGS is a novelty in Artificial Intelligence field. Compared to other AI methods, KGS focuses on the observation of the process of the knowledge growth within human brain based on information received from the surrounding environment. By using KGS algorithm, this processor works by receiving inputs from a set of sensors and possible hypotheses obtained after the processing of the information. The processor generates a value which is called as Degree of Certainty (DoC), which show the most possible hypothesis among all alternative ones. The Processor Elements which are used to perform KGS algorithm is designed based on systolic array architecture. The design of this processor is realized with VHSIC Hardware Design Language (VHDL) and synthesized by using FPGA Quartus II.13.1. The results show that the data path which has been design is able to perform the mechanism of KGS computation