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Image fusion has been attracting researchers with the aim of finding solutions to a wide area of applications. In the area of remote sensing, the increasing availability of imaging sensors, operating in a variety of spectral bands, definitely provides strong motivations. Because of the trade-off observed between sensors with a high spatial resolution with only a few spectral bands and sensors with low spatial resolution having many spectral bands, spatial enhancement of poor-resolution image and vice-versa is desirable. Thus, a new method of fusing different resolution images based on IHS transform and fuzzy transform (FTR) is proposed. The main aim is to produce a fused image with high spatial as well as high spectral resolution by fusing two images, an Ms image and a Pan image, the former with high spectral resolution but poor spatial resolution and the latter with high spatial resolution but poor spectral resolution. Experimental results obtained from the fusion of different pairs of input images prove the effectiveness of the proposed algorithm.

Remote Sensing, fuzzy transform, image fusion

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[4]. M. Manchanda, and R. Sharma, “An improved multimodal medical image fusion algorithm based on fuzzy transform”, Journal of Visual Communication and Image Representation, Vol. 51, pp. 76 -94, 2018.
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[7] M. Gonzalez-Audicana, J. L. Saleta, R. G. Catallan, and R. Garcia, “Fusion of multispectral and panchromatic images using improved IHS and PCA mergers based on wavelet decomposition”, IEEE Transactions on Geoscience and Remote sensing, Vol. 42, No. 6, pp. 12911299, 2004.
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Meenu Manchanda, Deepak Gambhir, "The IHS-FTR Transformations Based Image Fusion Algorithm For Remote Sensing Images," International Journal of Computer Sciences and Engineering, Vol.6, Issue.8, pp.697-702, 2018.

Congestion is a major challenge in Wireless Mesh Networks (WMNs) that rely on high mobility, dynamic topology, and limited resources. Congestion is the instability of the network due to unmanaged traffic resulted in exceeding the capacity of the network’s resources which leads to bottleneck stage that can occur at any intermediate node. Therefore, the performance of the network is deteriorating in packet drops, high delays, and low throughput. Therefore, an extensive research has been done for searching an effective algorithm for congestion problem in WMNs. Hence, the demand for effective management of the resources is immensely needed to enhance the network performance with multicast processes that lead to more congestion in the networks due to the high demands of resources in WMNs. Hence, a new scheme has been proposed in this paper to avoid the congestion in WMNs using the concept of target rate that is applied in the MAC layer and based on (MAODV) Multicast Ad-hoc on Demand Distance Vector routing protocol. The simulation results through NS2.26 simulator show the performance of the proposed scheme outperforms the original scheme. Thus, proving a fair distribution of resources among nodes is maintained due to resolving the congestion problem which leads to increases packet delivery ratio and the throughput and reduces the delay thereby increasing the network performance on the whole which is suitable for the emerging applications in WMNs.

Congestion, Routing, Wireless Mesh Network, Target Rate

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Mohammed A. Al-Jendary, Maher A. Al-Sanabani, "Congestion Avoidance in Wireless Mesh Networks Based On Multicast Routing Protocols," International Journal of Computer Sciences and Engineering, Vol.6, Issue.8, pp.703-707, 2018.

Promotion Assessment is an important mechanism in every organization to recognize and utilize the talent of the work force efficiently. Exiting approach uses manual process which is highly subjective in nature and hence has high probability of errors. Therefore, automating this process is required to overcome the deficiencies in the manual process. Decision Support System is the most appropriate tool for automation in such kind of scenarios. The proposed system uses criteria based on profession skill and behavioural aspects of staff. This system can further be used to predict those staffs that need training program/ domain technical skill and also predict those staffs that have higher chances of promotion in next assessment. It is based on multi-criteria ranking procedure utilizing Analytic Hierarchy Process (AHP) and weighted score method. The system can be utilized to improve the credibility of the whole assessment process adding transparency to the system. To test the model, the sample is taken from the Defence lab.

Decision Support System, Analytic Hierarchy Process, Weighted Score Method, Promotion Assessment

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Sanjeev Kumar, Shivangi Gupta, "Decision Support System for Promotion Assessment using Analytic Hierarchy Process," International Journal of Computer Sciences and Engineering, Vol.6, Issue.8, pp.708-713, 2018.

In this paper, first ever attempt to automatic detection and extraction of Gujarati text from image has been presented. This method is based on Haar discrete wavelet transform (HDWT), edge detection and connected component analysis. The distinct features of Gujarati script make it hard to directly apply the existing text detection methods designed for English, Chinese and other languages. In proposed work, first high-frequency wavelet coefficients are extracted using HDWT and then sobel filter is applied on to detect candidate text edges. Then connected component analysis is performed using area geometric feature to get rid of non-text area. The proposed method is tested on a variety of images such as images of complex background and images of different fonts, colour, and size of text. The experiment on over 878 images show that the proposed method can detect regions and isolation of text perfectly including modifier. The proposed framework has achieved a precision of 0.91, recall of 0.97 and f measure of 0.94.

Gujarati text detection, Text extraction, Text binarization, HDWT, Connected Componenet

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J. M. Patel, A. A. Desai, "Gujarati Text Localization, Extraction and Binarization from Images," International Journal of Computer Sciences and Engineering, Vol.6, Issue.8, pp.714-724, 2018.

The big data is a term which is used to describe the exponential growth in data that has occurred recently and it also represents an immense challenge for traditional learning techniques. In order to deal with big data pre processing and classification problems, a novel MapReduce-Neuro Ant Colony (MR-NAC) algorithm was proposed. The proposed algorithm used MapReduce framework to pre process and classify the large dataset which is found to difficult without using the MapReduce framework. The experimentation for the proposed work is carried on two different datasets and results obtained are discussed. The obtained results are much satisfactory which supports the proposed novel algorithm for big data pre processing and classification. AUC and execution time are the two metrics which were used to measure the performance of the proposed MR-NAC Algorithm.

Big Data, Map Reduce, Neural Network, Ant Colony, Pre process, Classification, execution time

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[17] Daniel Peralta, Sara del Río,Sergio Ramírez-Gallego, Isaac Triguero, Jose M. Benitez, and Francisco Herrera, “Evolutionary Feature Selection for Big Data Classification: A MapReduce Approach”, Hindawi Publishing Corporation, Mathematical Problems in Engineering, Vol 2015, pp,. 1-11, 2015.
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M.S. Saranya, N. Jayaveeran, "A Mapreduce Approach To Deal with Big Data Pre Processing And Classification Problems Based On Evolutionary Algorithms," International Journal of Computer Sciences and Engineering, Vol.6, Issue.8, pp.725-730, 2018.

Mobile ad hoc networks (MANETs) does not depend upon the access points or it is an infrastructure less network that connects multiple nodes. The structure of the mobile network may alter frequently and in expected way. In mobile ad-hoc network (MANET), due to mobility of nodes. Energy consumption of nodes is important problem in MANET. In such scenario, link breaks in mobile network, when the battery power of a node is depleted and it results to stops services. Efficient shortest distance paths from source node to destination node is another a critical design issue in mobile ad hoc networks. Genetic Algorithm (GAs) gives the best possible solution to such kind of problems. Genetic algorithm has been used successfully in different applications. Genetic Algorithm will be helpful to minimize the route multiple times when any failure happens during transmission.This paper is giving the brief survey of genetic algorithm in mobile ad-hoc network.

Mobile Ad-hoc Network (MANET), Energy Efficient Routing Protocols, Reactive Protocol, Genetic Algorithm (GA).

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[9]. Shengxiang Yang, Member, IEEE, Hui Cheng, and Fang Wang, Member, IEEE, “Genetic Algorithms with Immigrants and Memory Schemes for Dynamic Shortest Path Routing Problems in Mobile Ad Hoc Networks”, in proc. IEEE transactions on systems, man, and cyberneticspart C: applications and reviews, vol. 40, no. 1, January 2010, pp. 52-63.
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Juhi Aggarwal, Shelly, "Credibility of Genetic Algorithm (GA) for Power Efficient Routing and Reactive Protocols in MANET," International Journal of Computer Sciences and Engineering, Vol.6, Issue.8, pp.731-734, 2018.

Internet of Things (IoT) consists of two merging technologies IoT and Cloud Computing is known as IoT. In the cloud, the large amount of data might be gathered by various IoT applications. Privacy and Security concerns on behalf of IoT are proven targets of great significance. Encrypted Query Processing is securely to protect data confidentiality as preserving confidentiality and performing a standard set of SQL queries in an accurate manner for IoT. In this paper, compare the CryptDB and TrustedDB encrypted query processing systems with the purpose of IoT data stores securely in the Cloud database. The performance of an encrypted databases CryptDB and TrustedDB are compared by using SQL queries from TPC-H benchmark. As a result of that TrustedDB is performed as more efficient and scalable to large datasets.

Internet of Things, TrustedDB, CryptDB, Encrypted Query Processing, Homomorphic Encryption

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G. Ambika, P. Srivaramangai, "Encrypted Query Data Processing in Internet Of Things(IoTs) : CryptDB and Trusted DB," International Journal of Computer Sciences and Engineering, Vol.6, Issue.8, pp.735-741, 2018.

Expert finding which aims to identifying people with the relevant expertise or practices on a given topic query. In blogging services like Twitter, the expert analysis problem has gained big attention in social media. Twitter is a new type of media giving a publicly available way for users to publish 140-character short messages (i.e., tweets). However, earlier systems cannot be directly applied to twitter expert finding difficulty. They generally rely on the supposition that all the documents linked with the candidate experts receive implicit knowledge related to the expertise of individuals. Whereas it might not be directly allied with their expertise, i.e., who is not an expert, but may publish/re-tweet a substantial amount of tweets including the topic words. Recently, several attempts use the relations among users and twitter list for expert finding. Nevertheless, these strategies only partly utilize such relationships. To address these issues generate a probabilistic method to jointly exploit three types of relations (i.e., follower relation, user-list relation and list-list relation) for finding experts. LDA algorithm is applied to finding topic experts. LDA is based upon the concept of searching for a linear combination of variables (predictors) that best separates two classes (targets). Semi-supervised Graph-based Ranking approach (SSGR) to offline measure the global authority of users. Then, online compute the local relevance between users and the given query. Then order all of the users & find top-N users with the highest ranking scores. Therefore, the proposed method can jointly exploit the different types of relations among users and lists for improving the precision of finding experts on a given topic on Twitter.

Expert finding, Semi-supervised, Graph-based ranking approach, LDA, Sentiment Analysis, Hashtag, Twitter

[1] Wei Wei, Gao Cong, Chunyan Miao, Feida Zhu, and Guohui Li "Learning to Find Topic Experts in Twitter via Different Relations" IEEE transactions on knowledge and data engineering, vol.28, no 7, July 2016.
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[4] A. Pal and S. Count, "Identifying topical authorities in microblogs," in Proc. ACM Int. Conf. Web Search Data Mining, 2011, pp. 45–54.
[5] Z. Zhao, L.-J. Zhang, X.-F. He, and W. Ng, "Expert finding for question answering via graph regularized matrix completion," IEEE Trans. Knowl. Data Eng., vol. 27, no. 4, pp. Retrieval, 2012, pp. 575–590.
[6] A. Pal and J. A. Konstan, “Expert identification in community question answering: Exploring question selection bias,” in Proc. ACM Conf. Inf. Knowl. Manag., 2010, pp. 1505–1508.
[7] X. Liu, W. B. Croft, and M. Koll, "Finding experts in community-based question-answering services," in Proc. ACM Conf. Inf. Knowl. Manag., 2005, pp. 315–316.
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[13] M. David and A. Andrew, "Expertise modeling for matching papers with reviewers," in Proc. ACM SIGKDD Int. Conf. Knowl. Discovery Data Mining, 2007, pp. 500–509.
[14] H. Deng, I. King, and M.-R. Lyu, "Formal models for an expert finding on DBLP bibliography data," in Proc. Int. Conf. Data Mining, 2008, pp. 163–172.
[15] P. Serdyukov, H. Rode, and D. Hiemstra, “Modelling multi-step relevance propagation for expert finding,” in Proc. ACM Conf. Inf. Knowl. Manag., 2008, pp. 1133–1142.

Ashwini Anandrao Shirolkar, R. J. Deshmukh, "Finding Topic Experts in the Twitter dataset using LDA Algorithm," International Journal of Computer Sciences and Engineering, Vol.6, Issue.8, pp.742-746, 2018.

‘Pradhan Mantri Sahaj Bijli Har Ghar Yojana’ – Saubhagya is a Government Scheme to achieve 100% household electrification in the country in rural as well as urban areas by 31st March 2019. GramJyotiDoot, developed in collaboration with Jammu and Kashmir Power Development Department (JKPDD)is a well-organized and consistent approach to support Saubhagya. GramJyotiDoot comprises an android application and web-portals for Junior Engineers (JEs) and Assistant Executive Engineers (AEEs). The objective of GramJyotiDoot is to eliminate the cumbersome procedure of filing the documents for obtaining a new electricity connection and making the procedure simple by going digital. This expedites the process of registration of new connections and electrification of unelectrified households. The new connections in the rural areas of Jammu and Kashmir are being released using GramJyotiDoot.

Rural Electrification, Saubhagya, Android Application, Junior Engineer, Assistant Executive Engineer, Electricity, Electric Connection, Electricity, Digital Connections

[1] V.P. Balpande, L. Lende, R. Raut, R. Deshpande, S. Thakur, S. Majarkhede, "Survey on Android Base Smart City Nagpur App," International Journal of Scientific Research in Computer Science and Engineering, Vol.6, Issue.1, pp.67-69, 2018.
[2] R.K. Verma, R. Mishra, S. Prajapat, "Information Sharing Portal for Indus Sub-systems," International Journal of Scientific Research in Computer Science and Engineering, Vol.5, Issue.2, pp.46-55, 2017.
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Bhawna Sharma, Akshay Sharma, Akash Rajput, Parnika Gupta, Rohit Dhiman, Sheetal Gandotra, "Rural Electrification Using Gram Jyoti Doot, Mobile, And Web-Based Application," International Journal of Computer Sciences and Engineering, Vol.6, Issue.8, pp.747-751, 2018.

There have been recent advances in micro-electro-mechanical systems (MEMS) technology, wireless communications, and digital electronics. These advances have enabled the development to low-cost, low-power, multi-functional sensor nodes that are small in size and communicate with each other using radio frequencies. They have limited processing capabilities, transmission range, and most importantly available energy. For load balancing and efficient data collection in the network, clustering is used. Sensors in each cluster send the data to their corresponding cluster heads. The cluster head performs data aggregation and transmission of the aggregated data to the base station. This paper proposes a methodology to achieve load balancing & cluster head selection using cuckoo search algorithm and cluster formation is done using particle swarm optimization algorithm in anticipation of minimizing energy consumption and network lifetime.

Wireless Sensor Network, Unequale Clustering, Cuckoo Search, Particle Swarm Optimization

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