International Journal of Intelligent Systems Design and Computing
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International Journal of Intelligent Systems Design and Computing (7 papers in press)
DESIGN AND IMPLEMENTATION OF A WIRELESS CONTROLLED OBJECT CARRYING HEXACOPTER by Ifthekhar Ahammad, Ariful Alam, Neyamul Islam, Jamil Sorowar, Mowdud Ahmed Abstract: Unmanned Arial Vehicle (UAV) is becoming the future of remote operation, monitoring and delivery system. For a UAV, remote operation requires a versatile control system that can maintain its position without disturbing the task at hand. This paper introduces a hexacopter which is able to pick and place an object by using a robotic arm, while it is flying. The arm is used to grip an object firmly and carry it to the desired destination. It maintains its position on air accurately while performing the pick and place operation.rnThis UAV is able to withstand windflaw to maintain its position. This project can be used for rescuing, transportation of products, first aid supply etcetera. Keywords: Hexacopter; Drone; Rescue; payload; wireless; object carrying hexacopter; Intelligent Systems; Intelligent Systems Design and Computing.
Intelligent web search system for personalized web search based on recommendation of web page communities by Suruchi Chawla Abstract: In this paper an intelligent web search system is proposed based on recommendation of web page communities for Personalized Web Search(PWS). Web page communities are set of web pages that provide the good quality resource on a given topic. The intelligent search system adapts the web search to the users information need based on recommendation of web page communities. The groups of similar content clicked web pages in clusters are selected for generation of web page communities using maximum flow algorithm with Hyperlink Induced Topic Search (HITS). The cluster of web page communities is selected for recommendations of relevant web pages to user during web search for effective web information retrieval. Experiment was conducted on collection of web query sessions in academics, entertainment and sports domain. The experimental results were compared with classic IR and PWS(HITS) based on same data set and hence the results show the improvement in precision of search results using intelligent web search based on web page communities. Keywords: Intelligent web search; Search engine; Information Scent; Clustering; web page communities; Personalized Web Search; Hubs; Authorities;HITS.
Functional Implementation of EEDR Routing Protocol in Wireless Sensor Networks by Pramod M S, Shiva Shankar Abstract: Wireless sensor networks (WSN) are having high attention since there are huge developments and vast applications in the military and environmental applications. The WSN has a large number of resource-constrained nodes and they are normally used in sensing some phenomena and transmitting the sensed data to the destination. The process of routing plays a special role in sensor networks. As the WSNs are usually deployed with nodes which are non-rechargeable and hard to replace batteries, the routing algorithm should consume very less amount of energy in the network for the exchange of control packets and data transmission. In this paper, the software implementation of Energy Efficient Distributed Receiver (EEDR) based protocol for wireless sensor Network using MATLAB is proposed. The proposed mechanism uses information related to channel information, the transmission range of sensor nodes, Channel Quality Indicator (CQI) and Minimum Hop. The simulation results show that the proposed work has less energy consumption with increased throughput. Keywords: Channel; Energy; Receiver; Sender; Throughput.
Regression based Software Fault prediction using biogeography-based optimization(R-BBO) by Aarti Aarti, Geeta Sikka, Renu Dhir Abstract: It is difficult to build model of accurate estimate due to the inherent uncertainty and similarity among different categories in development projects. In this paper, fault prediction is done using biogeography based optimization (BBO) with the goal of recognizing the faults in software systems in more efficient way. Our methodology includes four steps as follows: (i) Firstly pre-processing was employed to remove redundant data. (ii) Secondly, relevant features are extracted using principal component analysis. (iii) Thirdly, fault-prediction system based on the optimization of regression parameter using biogeography-based optimization (R-BBO) was proposed. The experiment employed over different fault related datasets using 10 fold cross validation. The results showed that proposed prediction system (R-BBO) yield an overall accuracy of 85.4% (predicted over 5 datasets) which is higher than the prediction using genetic algorithm (R-GA). The proposed R-BBO was effective in terms of classification accuracy, precision and recall. Keywords: Fault-classification; genetic algorithm; regression; biogeography-based optimization.
Energy Efficient Routing Protocol for Wireless Sensor Networks using Dynamic Hyper Round Policy and ACO by Navin Haswani, Pramod Deore Abstract: The clustering based routing protocols enhance the performance and scalability of Wireless Sensor Networks (WSNs). State-of-art routing methods perform clustering and Cluster Head (CH) based on the scheme of fixed time intervals. Repetitive task of the cluster formation and CH selection at each time interval, regardless of its necessity, leads to routing overhead and consumption of network energy. Along with clustering, efficient route formation is a challenge to WSN routing protocols. In this paper, an attempt is made to overcome these challenges based on dynamic hyper round policy and route optimization strategy. A dynamic clustering method is proposed in which the re-clustering is dynamically scheduled according to network needs rather than performing in each interval. The selection of CH and cluster formation is mainly performed using three key parameters such as density, distance from Base Station (BS) and residual energy. After the cluster formation, route formation is performed using Ant Colony Optimization (ACO). The ACO based route formation and data transmission method assist in performance. The experimental evaluation of the proposed technique with underlying methods is performed using the Network Simulator 2 (NS2). The simulation results reveal that the proposed routing protocol shows improved performance in terms of energy efficiency and Quality of Service (QoS) compared to state-of-art WSN routing protocols Keywords: Clustering; dynamic scheduling; energy-efficient routing; network lifetime; WSN; ACO.
Adding Context to Concept Trees by Kieran Greer Abstract: A Concept Tree is a structure for storing knowledge where the trees are stored in a database called a Concept Base. It sits between the highly distributed neural architectures and the distributed information systems, with the intention of bringing brain-like and computer systems closer together. Concept Trees can grow from the semi-structured sources when consistent sequences of concepts are presented. Each tree ideally represents a single cohesive concept and the trees can link with each other for navigation and semantic purposes. The trees are therefore also a type of semantic network and would benefit from having a consistent level of context for each node. A consistent build process is managed through a 'counting rule' and some other rules that can normalise the database structure. This restricted structure can then be complimented and enriched by the more dynamic context. It is also suggested to use the linking structure of the licas system  as a basis for the context links, where the mathematical model is extended further to define this. A number of tests have demonstrated the soundness of the architecture. Building the trees from text documents shows that the tree structure could be inherent in natural language. Then, two types of query language are described. Both of these can perform consistent query processes to return knowledge to the user and even enhance the query with new knowledge. This is supported even further with direct comparisons to a cognitive model, also being developed by the author. Keywords: Concept; tree; context; link; natural order; semantic; query.
Increased theta activity after Om mantra meditation with Fourier and wavelet transform by Bhavna Harne Abstract: The Om mantra is found to be the most powerful of all the mantras in the scriptures of olden India. Om mantra is used meditation. The present study is based on Om mantra meditation. Little is known about the neural mechanisms by which this meditation works, and there is a need for more rigorous EEG investigations of the underlying neurobiology. Discrete Wavelet Transform (DWT) and Fast Fourier transform (FFT) are two tools of spectral analysis of the EEG signal. In our previous study, FFT analysis has been used for spectral analysis of the EEG signal to investigate the effect of OM mantra meditation. It was proved that this mediation plays a role in providing relaxation. In the present study, we continued our work with wavelet analysis to firmly establish this benefit. The dataset of our previous study was used in this work. Two way repeated measures ANOVA was used on relative power obtained by FFT and DWT. The comparative results of both methods are presented. The same increasing and decreasing pattern of relative power are observed in each band with FFT and DWT. A significant increase in theta power when averaged across all brain regions was found only with the method of FFT. But an increase in theta power in all regions of the brain has been observed with both the methods. Raised theta is a sign of deep relaxation. Once again results of this study confirm that 30 minutes Om mediation offers relaxation. The study suggests that if such a small duration of Om meditation has such a relaxing effect then it could be the way to destress if adopted as a daily routine. Keywords: Mantra meditation; EEG; OM.