Latest Articles - Volume 9 No. 2

  • Simulating Civil Disorder:AnAgent-based Modeling Approach

    Justin Kurland1 and Peng Chen2

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    This paper introduces a preliminary agent-based simulation model that seeks to analyze individual-level behaviors. The model is guided by theory and previous empirical studies on riot simulation. Data on the evolution of the contagion processamong assembled civilian agents is collected to better understand how the ratio of various civilian groups affectsriot development. Numerous variables including the severity of punishment in the form of increased jail sentences for activist civilian agents, the ratio of police to civilian agents, and various contagion thresholds among civilian agents are analyzed. Results from the simulation suggest among other thingsthat thegreaterthe density of activistcivilian agents attending public demonstrationsthe more powerful the contagion and the more quicklyapeaceful protest can be transformed into to a riotous mob. Additionally, increasing levels of guardianship in the form of policedecreases the likelihood of a riot occurring even when group emotions escalate.Limitations of the current model are discussed in addition to the findings, and the future direction of agent-based models on riot simulation. 

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  • Formulation of A Prediction Index with the Help of WEKA Tool for Guiding the Stock Market Investors.

    Aseema Dake Kulkarni and Ajit More

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    Prediction of stock prices using various computer programs is on rise. Popularly known in the field of finance as algorithmic trading, a radical transformation has taken place in the field of stock markets for decision making through automated decision making agents. Machine learning techniques can be applied for predicting stock prices. This paper attempts to study the various stock market forecasting processes available in the forecasting plugin of the WEKA tool. Twenty experiments have been conducted on twenty different stocks to analyse the prediction capacity of the tool.

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  • Analysis of the Effect of Cell Phone Radiation on The Human Brain Using Electroencephalogram

    Humaira Nisar* and Hamara M. Awadh

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    This paper aims to investigate the effect of cell phone radiation on human brain. It is known that the cell phone emits electromagnetic (EM) radiation which could be harmful to the human brain. In this research the electroencephalogram (EEG) signal has been acquired from 24 healthy subjects using a 16 channel EEG headset under different experimental conditions. The signal is decomposed into different brain rhythms using Daubechies Discrete Wavelet Transform up to 5th-level of the decomposition. Quantitative analysis has been carried out using two statistical parameters (Energy, Entropy) and Absolute Power. Special attention was focused on Temporal and Frontal lobes as these are near to the ear. Experimental results show higher values (for energy, entropy and absolute power) in the low-frequency bands (delta and theta) compared to the high frequency bands (alpha, beta and gamma) in both lobes. When the phone was placed 5cm away from the head there was less brain activation compared to when the cell phone was placed next to the ear/head on both sides. It was found that there was more effect on the right side compared to the left side from the cell phone’s radio waves. 

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  • Improving WLAN Quality of Services (Qos) Using Opnet

    Ishwar Baidari1 , S. P. Sajjan2 and Ajeet Kumar Singh2

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    Wireless local area networks (WLANs) are in a period of great expansion and there is a strong need for them to support multimedia applications. With the increasing demand and penetration of wireless services, users of wireless networks now expect Quality of Service (QoS) and performance comparable to what is available from fixed networks. Providing QoS requirements like good throughput and minimum access delay are challenging tasks with regard to 802.11 WLAN protocols and Medium Access Control (MAC) functions.
    This research is done to study, the presently implemented schemes (the Point Coordination Function (PCF) of IEEE 802.11, the Enhanced Distributed Coordination Function (EDCF) of the proposed IEEE 802.11e extension to IEEE 802.11), solves these issues and what can be done to improve them further.  The metrics used were Throughput, Data Drop, Retransmission and Medium Access Delay, to analyze the performance of various MAC protocols in providing QoS to users of WLAN.
    Two scenarios, with same Physical and MAC parameters, one implementing the DCF and other EDCF, were created in the network simulation tool (OPNET MODELER) to obtain the results. The results showed that the performance of EDCF was better in providing QoS for real-time interactive services (like video conferencing) as compared to DCF, because of its ability to differentiate and prioritize various services. Index Terms - Wireless local area networks (WLANs),

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  • Load Balancing the Network Traffic in the Nth Mode of IP Tables

    Anupama*1 and O. P. Gupta2

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    In this paper, we present the network load balancing to optimize the network interfaces that are present in the cluster. We know, everything belongs to internet now a days. With the increase in the popularity of the web, network traffic increases and need for fast access to the internet is also on demand. For smooth services, redundancy of the servers is required. As a result, load balancing has become a very critical job. A single server is not able handle all the traffic which results into a server crash. Network is divided into different paths on which the transmission of packets is done. They are distributed on all the interfaces simultaneously. We investigate the performance of per-packet load balancing in different servers. Simulation results reveal that it is always beneficial to use load balancing and backup of other servers are always present in case of any failure in network.

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