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Frequency channels are scarce resource and available in a limit. Due to this limitation user may experience call termination and call blocking as the traffic increases. We can limit call termination and call blocking by allocating permanent channel to home (apartment) and office user due to very limited movement. They are almost fixed if they communicate with each other frequently and this is the normal scenario in urban areas. By using this strategy these users will not feel any disconnection due to inaccessibility of frequency channel in cell. To achieve this we have proposed a scheme based on fixed channel and analyze the performance for both normal channel allocation and preserved channel allocation for home and office users. We have performed and compared the results of call blocking probability, handover failure probability, call termination due to successful handover probability and probability for not completed calls.

Channel allocation, handover, call blocking, call termination

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Suyash Kumar, P.V. Suresh, "Performance Analysis of Channel Allocation Scheme for A System Model Based On Urban Structure," International Journal of Computer Sciences and Engineering, Vol.6, Issue.8, pp.1-5, 2018.

Video and data is becoming the dominant traffic over the Internet. To be able to detect, fix and replace lost data and voice packets along User Datagram Protocol (UDP), we apply artificial intelligent optimization The two artificial intelligence (AI) algorithms applied in this work are Modified Artificial Bee Colony (MABC) and Modified Particle Swarm Optimization (MPSO). These algorithms show great improvement in preventing packet loss and making transmission reliable. Further test of the MABC and MPSO reveals that there is improved optimization of data and voice packet delivery. Another comparison demonstrates that MPSO is significantly better than MABC in overall performance.

Artificial Intelligence, Algorithms, Optimization, Artificial Bee Colony, Particle Swarm Optimization, UDP

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Ondiek J. Otieno, Sibiyia L. Ongachi, "Voice and Data Packets Optimization using AI Algorithms in User Datagram Protocol," International Journal of Computer Sciences and Engineering, Vol.6, Issue.8, pp.6-14, 2018.

In this paper we establish that the graphs K_n-E(K_r ), K_(n ,n) for n ≥2, K_(n ,n)-E(〖nK〗_2 ) for n ≥2, P_n⨀K_1 for n ≥2 and C_n⨀K_1 for n ≥4 possesses sum* and modsum* labelings and find their sum * and mod sum* numbers.

Sum* graphs, Sum* number, Mod sum* graphs and Mod sum* number

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R. K. Samal, D. Mishra, "Further Results on Sum *Number and Mod Sum* Number of Graphs," International Journal of Computer Sciences and Engineering, Vol.6, Issue.8, pp.15-19, 2018.

Medical image fusion defines the process of fusing two similar medical images to create a single image which is rich in information. The medical image fusion is done to enhance the quality of diagnosis and treatments. This paper introduces a novel image fusion approach HSWGWO (Hybridization of State Transition with Grey Wolf Optimization) for medical images such as MRI, SPECT, PET, and CT images etc. The objective of this work is to overcome the issues of traditional GWO based image fusion technique. In this work, the SWT mechanism is used to extract the features from the input images and then the hybrid mechanism i.e. GWO and ST are applied for fusing the images. The proposed work is compared with the traditional techniques. The comparison is done by considering the sets of various images such as MRI-SPECT, MRI-PET, and MRI- CT images. After analyzing the proposed work is found to be effective and efficient than the traditional image fusion techniques.

Medical Image Fusion, Magnetic Resonance, Transform Domain, Spatial Domain, Frequency Domain

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R. Singh, G. Dhaliwal, "An Enhanced Approach for Medical Image Fusion Using Hybrid of GWO and State Transition," International Journal of Computer Sciences and Engineering, Vol.6, Issue.8, pp.20-24, 2018.

Anomaly detection is an important problem that has been researched within diverse research areas and application domains. Many anomaly detection techniques have been specifically developed for certain application domains, while others are generic. Detecting abnormal user behavior is of great significance for a secured network. The traditional detection method, which is based on machine learning, usually needs to accumulate a large amount of abnormal behaviour data from different times or even different network environments for training, so the data gathered is not in line with practical data and thus affects. There are many systems being developed which analyzes big data logs and recognizes patterns in it with already predefined classes using machine learning algorithm. The current research in this area implements algorithm like SVM (support vector machines), PCA (principal component analysis) mostly to classify data. Apart from this many are working to find different classes to classify anomalous activities. In this project, analysis of various machine learning algorithms will be carried out irrespective of user behaviour.

Anomaly Detection, Learning process, Machine Learning, Security

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Nandit Malviya, Mukta S. Takalikar, "A Semi-supervised Approach for Abnormal User Behaviour Detection in Network," International Journal of Computer Sciences and Engineering, Vol.6, Issue.8, pp.25-29, 2018.

In today’s scenario, cloud computing is considered as the most extensively spreading platform to execute tasks. These tasks are executed with the help of virtual machines as processing elements. The scheduling of tasks in a cloud computing environment is an important issue as several tasks run on cloud and users sends continuous request to the cloud. The multiple jobs running in parallel slow down the cloud system. The choice of proper scheduling algorithm decreases the cost of executing independent application on cloud resources and improves the performance. Several scheduling techniques are proposed to maintain performance of cloud environment. This paper presents a new algorithm called Suffrage algorithm for scheduling tasks in a cloud computing environment. The proposed algorithm is compared with the existing FCFS and Min-Min algorithms. The comparative analysis of FCFS, Min-Min and Suffrage shows that the Suffrage algorithm performs better than the existing algorithms in terms of makespan time, deadline and finishing time.

Cloud Computing, Load Balancing, FCFS, Min-Min

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Afsana, Suman Deswal, "An Algorithm for Load Balancing in Cloud Computing," International Journal of Computer Sciences and Engineering, Vol.6, Issue.8, pp.30-35, 2018.

The Cluster in Mobile Ad-hoc Network has paying attention in recent times and clustering defined in Mobile ad hoc network partitioning of mobile nodes into different groups, and each group contains ordinary node, cluster head and getaway .The basic need to create cluster is to save the energy consumption, simplicity of routing, extending capability and to improve the network efficiency .Each node is key element, when the energy of node is drained, the node become fails to sense the data or forward the data, So after we can reconstruct new cluster with remaining nodes, called as Re-clustering, but Re-clustering needs high energy consumption, but nodes have limited resource constraints, In order to overcome clustering problems we need design new energy clustering protocol, in this are proposing Intra-balanced LEACH protocol to achieve life span of WSNas, with Distrubuted Ad-hoc Network.

Intra-balanced LEACH, Mobile Nodes different groups, Cluster

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Venkateswarulu Naik. B, Syed Umar, "Designing Energy Aware Routing Protocol Distributed Ad - hoc Network.," International Journal of Computer Sciences and Engineering, Vol.6, Issue.8, pp.36-42, 2018.

Modern technologies of remote sensing and GIS like geo-data processing, earth observation data processing and analysis are needs for researchers. This work dedicates to create a land information system over agricultural, rural and urban development areas of Medchal Mandal of Rangareddy Dist. The main task of the work is to set up a land information database in GIS database. The main function of the work is starting with acquisition of existing geodata and information, maintenance, utilization and transferring of data. In this paper, applications of Remote Sensing and GIS for various advance classification techniques together with their accuracy based on performance evaluation, on land use studies are given emphasis. The research conducted on Medchal Mandal, Rangareddy District, Telangana, India. The goal of the research is to develop a land valuation method based on a land information system for selected areas. The establishment of a land information system for mandal will contribute to the National Land Information System. It is very important to analysis and uses the outcomes on a national level and to give knowledge on Geographic Information System to researchers and land managers in the land management sector. The results will promote good governance and offer fact based information to decision makers.

Remote Sensing, Geographic Information System, Land Use / Land Cover

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M. Sunandana Reddy, L. Harish Kumar, "GIS based Land Information System for Medchal Mandal of R.R. District," International Journal of Computer Sciences and Engineering, Vol.6, Issue.8, pp.43-49, 2018.

The digital watermarking is the technique which is used to provide security to sensitive data which is stored in the form of image. The watermarking is the process in which features of the original and sensitive image is calculated and in the second step, the original image is embedded into the watermark image. In this research paper, the neural network based watermarking technique is improved using GLCM and PCA algorithm. The GLCM and PCA algorithm extracts the features of the original image. The output of PCA algorithm defines the scaling factor which is used for the embedding. The proposed algorithm is implemented in MATLAB and simulation results demonstrated that proposed algorithm performs well in terms of PSRN and MSE.

GLCM, PCA, SVD, DWT

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Pardeep Kaur, Shalini, "A Review on Texture Feature Analysis Based Watermarking Scheme for Image Processing," International Journal of Computer Sciences and Engineering, Vol.6, Issue.8, pp.50-56, 2018.

In this article we propose coloring of polyhedral regular and irregular fuzzy graphs.Also we have investigate some new concepts of polyhedral fuzzy graphs,Planar fuzzy graphs and coloring of polyhedral regular and irregular fuzzy graphs.We anayze some basic theorems related to these concepts.

Fuzzy graphs, Coloring of fuzzy graphs,Polyhedral fuzzy graphs,Planar fuzzy graphs, Polyhedral regular fuzzy graphs,Polyhedral irregular fuzzy graphs

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K. Kalaiarasi, L. Mahalakshmi, "Coloring of Polyhedral Regular and Irregular Fuzzy Graphs," International Journal of Computer Sciences and Engineering, Vol.6, Issue.8, pp.57-61, 2018.