March'20

The IUP Journal of Information Technology

Focus

These computational techniques draw their basis from the natural phenomena to solve complex real-world problems in various areas of computer applications. Most of the nature-inspired algorithms are meta-heuristic and capable of handling NP-hard computing problems. They combine both randomness and rules while imitating some natural phenomena and basic principles of physics, chemistry and biology. Based on the source of inspiration, nature-inspired algorithms can be broadly classified into physics-based, chemistry-based and biology-based. Simulated Annealing (SA), which draws its basis from principles of thermodynamics, is a classic case of physics-based nature-inspired algorithm used in search and optimization problems. Chemical Reaction Optimization (CRO) is a chemistry-based nature-inspired algorithm that follows the principles of chemical reaction. Similarly, Artificial Neural Network (ANN) based on biological neurons of human brain is another representative of nature-inspired algorithms.Although nature-inspired algorithms are not new, many of these algorithms have been developed in recent years, triggering a new area of research and investigation. Particularly, biology-based algorithms have been attracting a good deal of research attention due to their satisfactory performance in many areas of application. Techniques such as Genetic Algorithm (GA), Differential Evolution (DE), Particle Swarm Optimization (PSO), Ant Colony Optimization (ACO) and Cuckoo Search (CS) are quite popular. Many of these algorithms are based on the interesting collective behavior of birds, animals and insects while they live or move in groups. Limited intelligence of these organisms provides enough motivation to develop computational algorithms which are very efficient to solve complex computational problems. Despite their popularity, these algorithms face many challenges which attract further research efforts.

The first paper, “A Novel Approach to Overcoming Sample Impoverishment Problem of Particle Filter Using Chaotic Crow Search Algorithm”, by Ashish Kumar, Gurjit Singh Walia and Kapil Sharma, proposes a technique to solve the problem of sample impoverishment and particle degeneracy of particle filter method. Based on the simulated data, the authors have shown that their approach outperforms other existing approaches and delivers satisfactory results.

The second paper, “Relationship Between Acceptance of Virtual Private Cloud (VPC) and Adoption of VPC: An Empirical Study”, by J Webb and O Aly, investigates the relationship between acceptance and adoption of VPC solutions. The authors have used several statistical techniques to process collected data and interpret the results. The results indicate that security is not of much concern while adopting VPC solutions, as there is trust in the VPC solution to mitigate security threats.

The last paper, “Roundabouts Modeling and Vehicular Traffic Control Techniques: A Survey”, by Babangida Zachariah, Philip O Odion and Rambo I Saidu, presents a survey of approaches used in modeling and controlling vehicular traffic flow at a roundabout. The authors have considered several aspects such as simulation and optimization tools and techniques used, number of lanes, entry and exit points, vehicle type, control approach, etc. The survey reveals that multi-lane and coordinated roundabouts, which are more challenging to design and represent next generation road networks, are not given due attention.

-A C Ojha
Consulting Editor

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A Novel Approach to Overcoming Sample Impoverishment Problem of Particle Filter Using Chaotic Crow Search Algorithm
50
Relationship Between Acceptance of Virtual Private Cloud (VPC) and Adoption of VPC: An Empirical Study
50
Roundabouts Modeling and Vehicular Traffic Control Techniques: A Survey
50
       
Articles

A Novel Approach to Overcoming Sample Impoverishment Problem of Particle Filter Using Chaotic Crow Search Algorithm
Ashish Kumar, Gurjit Singh Walia and Kapil Sharma

Generic Particle Filter (GPF) is extensively used in the area of computer vision for nonlinear and non-Gaussian state estimation. However, GPF suffers from the problem of sample impoverishment and particle degeneracy. The aim of the paper is to propose a method using Chaotic Crow Search Algorithm as resampling method to overcome these problems of GPF. The proposed method has been simulated on benchmark 1D and 2D state estimation problems. The simulation results of the proposed method are compared with GPF, particle filter- particle swarm optimization and particle filter-backtracking search optimization. On average of the outcome, we have achieved RMSE value of 2.0214 for 1D problem and value of 0.0281 for 2D problem for the proposed method. The results demonstrate that the method not only outperforms other methods but also achieves high accuracy with minimum computational requirement.


© 2020 IUP. All Rights Reserved.

Article Price : Rs.50

Relationship Between Acceptance of Virtual Private Cloud (VPC) and Adoption of VPC: An Empirical Study
J Webb and O Aly

Virtual Private Cloud (VPC) is a new deployment model of the cloud computing technology that was introduced to address the security concerns of cloud technology. VPC is a rapidly growing technology, addressing the market demand for a secure cloud environment. Like other new technologies, concerns and issues have surfaced with the adoption of the VPC solution. Organizations may be concerned about ease of use, usefulness, security and trust, which can have negative influences on the adoption of the VPC solution. The lack of scientific and empirical analysis using technology acceptance and adoption models brought an excellent opportunity for this study. The purpose of this study is to examine the relationship between acceptance and adoption of VPC solution. The population sample consisted of individual users within the United States between 18 and 65+ years of age, with a total sample size of 400 qualified respondents. The theoretical framework utilized in this study was based on the most widely used technology adoption models of Technology Acceptance Model (TAM) and Unified Theory of Acceptance and Use of Technology (UTAUT). An online web-based survey was conducted to assess the measurement and understanding of patterns demonstrated by participants. The study employed statistical data analysis, Exploratory Factor Analysis (EFA), analysis of variance and Chi-square test of independence. The study leveraged the multiple regression quantitative methodology to determine the relationship between the acceptance and the adoption of VPC. The results showed that security concern is not of much concern when adopting the VPC solution. The result also indicates that there is trust in the VPC solution to mitigate security threats and aligned with the notion that VPC was introduced to address the security concerns of the other cloud computing deployment models such as public, hybrid, private and community.


© 2020 IUP. All Rights Reserved.

Article Price : Rs.50

Roundabouts Modeling and Vehicular Traffic Control Techniques: A Survey
Babangida Zachariah, Philip O Odion and Rambo I Saidu

Roundabouts, which are circular intersections that are alternatives to and with advantages over the classical isolated intersections, have recently gained much attention of researchers. A number of surveys have focused on the results of research and not on the modeling approaches used to acquire the results. Therefore, the paper presents a survey of the approaches used in modeling and controlling vehicular traffic flows at a roundabout. It considered the simulation tools, optimization tools or techniques used, the number of lanes, number of entry and exits of the roundabouts and the number of roundabouts. In addition, vehicle type, control type, control approach and parameter of interest were also considered. It was discovered that most of the research considered a single roundabout and so there was no need of coordinated traffic control. On optimization, it was discovered that computational intelligence tools are often used for optimizing traffic control systems, though only a few of them have actually been used. Therefore, it is recommended that researchers may consider exploring other such tools and modeling more multi-lane and coordinated roundabouts which may be representing the next-generation of modern roundabouts and classical intersections.


© 2020 IUP. All Rights Reserved.

Article Price : Rs.50

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