024955   SANGAM R S, OM H (Computer Science and Engineering Dep, Indian Institute of Technology (ISM), Jharkhand- 826 004, Email: srskar@gmail.com) : An equi-biased k-prototypes algorithm for clustering mixed-type data. Sadhana 2018, 43(3), 37.

Clustering has been recognized as a very important approach for data analysis that partitions the data according to some (dis)similarity criterion. In recent years, the problem of clustering mixed-type data has attracted many researchers. The k-prototypes algorithm is well known for its scalability in this respect. In this paper, the limitations of dissimilarity coefficient used in the k-prototypes algorithm are discussed with some illustrative examples. We propose a new hybrid dissimilarity coefficient for k-prototypes algorithm, which can be applied to the data with numerical, categorical and mixed attributes. Besides retaining the scalability of the kprototypes algorithm in our method, the dissimilarity functions for either-type attributes are defined on the same scale with respect to their dimensionality, which is very beneficial to improve the efficiency of clustering result. The efficacy of our method is shown by experiments on real and synthetic data sets.

6 illus, 5 tables, 38 ref

024954   PANDEY S C (Computer Science and Engineering Dep, Ranchi, Patna Campus, Patna- 800 014, Email: subh63@yahoo.co.in) : New facet of honey bees dancing language for mining the induction rules. Sadhana 2018, 43(3), 35.

Artificial Bee Colony (ABC) algorithm is used in many domains of computation, including optimization, clustering and classification tasks. Further, honey bees dancing is one of the most fascinating and intriguing behaviours of animal life. Honey bees’ dancing is termed as ‘‘waggle Dance’’ in literature and they perform it for indicating the food sources in their environment. This work presents a novel honey bees dancing language (HBDL)-based algorithm for mining the induction rules from datasets. The proposed HBDL algorithm is implemented and tested against the performance of ABC, Particle Swarm Optimization and nine more traditional algorithms frequently used by researchers. The experimental results showed that HBDL is a suitable and effective technique for data mining and classification task.

4 illus, 8 tables, 26 ref

024953   DIXIT H V, JADHAV A R, JAIN Y M, CHEERAN A N, GUPTA V N, SHARMA P K (Veermata Jijabai Technological Institute, Mumbai- 400 019, Email: hvdixit48@yahoo.com) : Design data for quick development of folded H plane tee at high average power level. Sadhana 2018, 43(3), 33.

At high average power level, waveguide-based structures are indispensable in microwave systems due to their higher power handling capacity. These structures are often used to perform power division and combination operation. Folded H plane tee is one of the many components that can be used for the power division application. Its advantage is that the output arms and input arms are in a single plane along a single axis, thus taking less space in the overall system. However, their proper thermal management is indispensable for its use, as high surface temperature of the waveguide reduces its power handling capacity at high power level. This paper presents quick, easy design steps and methodology for obtaining the structure of a folded H plane tee at any given frequency of operation. Further, a scheme for the thermal management for high input power level (500 kW continuous wave) is presented. The proposed methodology is tested at various frequencies in COMSOL Multiphysics, CST Microwave Studio and HFSS with excellent results. A prototype structure was fabricated for use at 3.7 GHz, which exhibited good agreement with the simulation results.

10 illus, 1 table, 10 ref

024952   PANDEY V C, PEDDOJU S K, DESHPANDE P S (Computer Science and Engineering Dep, Indian Institute of Technology Roorkee, Roorkee- 247 667, Email: v.c.pandey89@gmail.com) : A statistical and distributed packet filter against DDoS attacks in Cloud environment. Sadhana 2018, 43(3), 32.

Distributed Denial of Service (DDoS) attacks are a serious threat to Cloud. These attacks consume large amount of resources and increase the service usage cost by a significant factor. Due to multi-tenancy and self-provisioning properties of Cloud, traditional DDoS detection techniques cannot be directly applied. Hence, there is a need for Cloud-specific DDoS detection framework. In this paper, a statistical and distributed network packet filtering model is proposed against DDoS attacks in Cloud. The key idea of this scheme is to distribute multiple packet filters among individual virtual machines, which generate and share collective profile of normal behaviour with a coordinator node at constant intervals. Statistics of selected network attributes construct the normal behaviour profile. Based on the deviation from normal behaviour a decision is made whether to accept or reject the incoming packet. The coordinator node monitors filter and distribute the averaged profile to newly provisioned nodes. Individual profiles have low memory and storage requirements and are updated dynamically. Simulation study indicates the effectiveness of this scheme in detecting DDoS attacks in Cloud.

7 illus, 4 tables, 20 ref

023266   AOUICI H, KHELLAF A, SMAIAH S, ELBAH M, FNIDES B, YALLESE M A (Ecole Nationale Supe´rieure de Technologie, Algeria, Email: aouici_hamdi@yahoo.fr) : Comparative assessment of coated and uncoated ceramic tools on cutting force components and tool wear in hard turning of AISIH11 steel using Taguchi plan and RMS. Sadhna 2017, 42(12), 2157–70.

This study investigated the cutting performance of coated CC6050 and uncoated CC650 mixed ceramics in hard turning of hardened steel. The cutting performance was mainly evaluated by cutting force components and tool wear. The planning of experiments was based on Taguchi’s L36 orthogonal array. The response surface methodology and analysis of variance were used to check the validity of multiple linear regression models and to determine the significant parameter affecting the cutting force components. Tool wear progressions and, hence, tool life, different tool wear forms and wear mechanisms observed for tools coated with TiN and uncoated mixed ceramics are presented along with the images captured by digital and electron microscope. Experimental observations indicate higher tool life with uncoated ceramic tools, which shows encouraging potential of these tools to hard turning of AISI H11 (50 HRC). Finally, tool performance indices are based on units which characterise machined cutting force components and wear when hard turning.

7 illus, 7 tables, 26 ref

023265   PANIGRAHI S, VERMA K, TRIPATHI P (Computer Applications Dep, National Institute of Technology, Raipur- 492 010, Email: sangrampanigrahi.sp@gmail.com;) : Data mining algorithms for land cover change detection: A review. Sadhna 2017, 42(12), 2081–97.

Land cover change detection has been a topic of active research in the remote sensing community. Due to enormous amount of data available from satellites, it has attracted the attention of data mining researchers to search a new direction for solution. The Terra Moderate Resolution Imaging Spectrometer (MODIS) vegetation index (EVI/NDVI) data products are used for land cover change detection. These data products are associated with various challenges such as seasonality of data, spatio-temporal correlation, missing values, poor quality measurement, high resolution and high dimensional data. The land cover change detection has often been performed by comparing two or more satellite snapshot images acquired on different dates. The image comparison techniques have a number of limitations. The data mining technique addresses many challenges such as missing value and poor quality measurements present in the data set, by performing the preprocessing of data. Furthermore, the data mining approaches are capable of handling large data sets and also use some of the inherent characteristics of spatio-temporal data; hence, they can be applied to increasingly immense data set. This paper stretches in detail various data mining algorithms for land cover change detection and each algorithm’s advantages and limitations. Also, an empirical study of some existing land cover change detection algorithms and results have been presented in this paper.

9 illus, 3 tables, 39 ref

023264   NWOBI-OKOYE C C (Chukwuemeka Odumegwu Ojukwu Univ, Nigeria, Email: cc.nwobiokoye@coou.edu.ng) : Neuro-fuzzy model for evaluating the performance of processes using transfer function. Sadhna 2017, 42(12), 2055–65.

In this work an Adaptive Neuro-Fuzzy Inference System (ANFIS) was used to model the periodic performance of some multi-input single-output (MISO) processes, namely: brewery operations (case study 1) and soap production (case study 2) processes. Two ANFIS models were developed to model the performance of the two processes under study. The results of the study show that for brewery operations, ANFIS model 2 with a correlation coefficient of 0.9972, as against 0.9956 for ANFIS model 1, had a better correlation than an equivalent MAMDANI fuzzy model. On the order hand, for soap production process, ANFIS model 1 had better correlation with an equivalent MAMDANI model. Generally, there is a general agreement among the models on the periodic performance of the processes. Thus, all the models show that for the brewery, the best performance was in the period 2010-2011 and the period 2008-2009 was the worst. Similarly, for the soap production process, the best performance was in 2011 and the worst in 2012. The results show that a combination of transfer function and ANFIS could be used effectively to model process performance.

10 illus, 12 tables, 24 ref

023263   YOUNES O S (Univ of Tabuk, Saudi Arabia, Email: usama.younas@ci.menofia.edu.eg) : Securing ARP and DHCP for mitigating link layer attacks. Sadhna 2017, 42(12), 2041–53.

Network security has become a concern with the rapid growth and expansion of the Internet. While there are several ways to provide security for communications at the application, transport, or network layers,the data link layer security has not yet been adequately addressed. Dynamic Host Configuration Protocol (DHCP) and Address Resolution Protocol (ARP) are link layer protocols that are essential for network operation.They were designed without any security features. Therefore, they are vulnerable to a number of attacks such as the rogue DHCP server, DHCP starvation, host impersonation, man-in-the-middle, and denial of service attacks.Vulnerabilities in ARP and DHCP threaten the operation of any network. The existing solutions to secure ARP and DHCP could not mitigate DHCP starvation and host impersonation attacks. This work introduces a new solution to secure ARP and DHCP for preventing and mitigating these LAN attacks. The proposed solution provides integrity and authenticity for ARP and DHCP messages. Security properties and performance of the proposed schemes are investigated and compared to other related schemes.

13 illus, 41 ref

023262   BHARKAD S, KOKARE M (Electronics and Telecommunication Dep, Government Coll of Engineering, Aurangabad- 431 005, Email: sbharkad@yahoo.co.in;) : Rotation-invariant fingerprint matching using radon and DCT. Sadhna 2017, 42(12), 2025–39.

A new set of promising rotation-invariant features based on radon and discrete cosine transform(DCT) is proposed for fingerprint matching. The radon and DCT of a tiny area in the region of core point of fingerprint image is computed. In the proposed method only 34% DCT coefficients are used for feature extraction. Competency of this approach is tested on standard databases, namely FVC2002 and FVC2004. This approach provides 70% genuine acceptance rate (GAR) at *0% false acceptance rate (FAR) and 95% GAR at 10% FAR on rotated and non-rotated databases, respectively. Experimental results prove that the proposed feature extraction approach is rotation invariant.

13 illus, 4 tables, 36 ref

023261   SATHIYA B, GEETHA T V, SARULADHA K (Computer Science and Engineering Dep, Coll of Engineering, Chennai- 600 025, Email: sathiyabalu89@gmail.com) : PSOM2—partitioning-based scalable ontology matching using MapReduce. Sadhna 2017, 42(12), 2009–24.

The growth and use of semantic web has led to a drastic increase in the size, heterogeneity and number of ontologies that are available on the web. Correspondingly, scalable ontology matching algorithms that will eliminate the heterogeneity among large ontologies have become a necessity. Ontology matching algorithms generally do not scale well due to the massive number of complex computations required to achieve matching. One of the methods used to address this problem is the use of partition-based systems to reduce the matching space. In this paper, we propose a new partitioning-based scalable ontology matching system called PSOM2. We have designed a new neighbour-based intra-similarity measure to increase the quality of the cluster set formation for the partition-based ontology matching process. These sets of clusters or sub-ontologies are matched across the input ontologies to identify matchable cluster pairs, based on anchors that are efficiently discovered through a new light-weight linguistic matcher (EI-sub). However, in order to further increase the efficiency of the time-consuming anchor discovery process we have designed a Map Reduce-based EI-sub process where anchors are discovered in distributed and parallel fashion. Experiments on benchmark OAEI (Ontology Alignment Evaluation Initiative) large scale ontologies demonstrate that the new PSOM2 system achieves, on an average, 31% decrease in entropy of the clusters and 54.5% reduction in overall run time. Based on the experimental results, it is evident that the new PSOM2 achieves better quality clusters and a major reduction in execution time, leading to an effective and scalable ontology matching system.

14 illus, 2 tables, 38 ref

023254   BANUKRISHNA M, DHANASHREE K (Nadar Saraswathi Coll of Arts and Science, Tamil Nadu) : Science, technology and postmodernism. Int J Multidiscipl Res Dev 2017, 4(12), 137-8.

In this the postmodernism, science and technology that involves about the historical modern style of scientific knowledge and technological rationality. And says about the relation between sciences, technology. These areas are associated by the ideas with the modernity to develop a distinctive style.

1 ref.

023253   THOTA S (Data Architect, Data Architect, USA) : Analytics – Life Cycle. Int J Multidiscipl Res Dev 2017, 4(12), 117-26.

As an IT professional, we work on computer applications as an analyst, programmer, designer, developer, Database administrator or project manager. In these roles, IT professional is involved in the design, implementation, and maintenance of systems that support day-to-day business operations. As an enterprise grows, hundreds of computer applications are needed to support the various business processes. These applications are efficient in gathering, storing and processing all the data required to perform the daily operations of an enterprise successfully. This existing setup of operational support to an enterprise couldn't cater to strategic information management and Decision support system which can combat increased business competition and complexity. Thus, it developed the notion of Data Warehouse, which is a centralized solution to enterprise's strategic information need that also acts as Decision Support system. This article gives an overview of all the process involved in building Data Warehouse. Data Warehouse is a multi-step process that begins with an analysis of the legacy data and culminates in the loading and reconciliation of data into the new applications.

9 illus, 1 table, 11 ref.

023252   VISLAVATH G N (MVS Govt. Arts & Science Coll, Telangana) : Prospects of block chain technology in effective public administration. Int J Multidiscipl Res Dev 2017, 4(12), 109-11.

Administration of public offices and public policies has veered its direction from the rustic bundles of papers and records towards the sophisticated digital environs wherein Tera Bytes and Peta Bytes of data pertaining to the governance of public offices is stored in centralized servers and retrieved by the stakeholders whenever needed. This development has also got a flipside in the form of data security which is vulnerable to hacking and cracking by the mischief groups. Off course government has got its own policy to safeguard the information of public offices, despite which there are spasmodic incidents reflecting the gaps in data management policies. It lead to the contemplation of technology stream not explored by Indian public offices at a length i.e. Block Chain Technology, the prospects of which need to be investigated to check whether it can make public office data more secured. It is the reason why a research paper titled “Prospects of block chain Technology in effective public administration” is brought to fore.

1 illus, 1 table, 5 ref

023251   CHEMBATH J (Computer Science Dep, Karpagam Univ, Tamil Nadu) : Cluster analysis to predict web page using k-means and affixed agglomerative approach (CAPKAAA). Int J Multidiscipl Res Dev 2017, 4(12), 74-9.

Web mining is about combining information collected from the World Wide Web using data mining methods and technologies. Predicting the subsequent web page that may be visited by a particular user has become the most wanted area of research as the need for maximum accuracy is mandatory in the sustenance of business in the World Wide Web. Several models are in use nowadays for prediction which focus on the detecting the users subsequent visit of a web page. Basically all prediction mechanisms concentrate on the basic web usage mining principles of clustering. Obviously we need the services of a prediction model like Markov model which has to be trained with the clusters created by cluster algorithms. Server logs help us to understand the user behavior and the possibility of their next web page visit. In this paper, we prove from the experiments conducted that good formation of clusters will lead to better predictions. Here we present an integrated cluster approach from data sets for the prediction of user requests. This clustering approach defines clusters which can be used for predicting the next user request. We focus on predicting the next request of web users by utilizing Basic Agglomerative Hierarchical Clustering Techniqueor “BottomUp” Algorithm and K-Means algorithm along with the prediction algorithm of Markov model. Experimental results reveal that Markov-based models when combined with K-means and Agglomerative approach for clustering produce more accurate results.

5 illus, 2 tables, 12 ref.

023250   MIKE A A, ALONE K (Computing Dep, Kampala International Univ, Uganda) : A patient information management system (PIMS) for health care: A Case of Kampala international university teaching hospital, Ishaka- Bushenyi, Uganda. Int J Multidiscipl Res Dev 2017, 4(11), 186-90.

The purpose of this research project was to investigate the current Patient records Management System in Kampala University Teaching Hospital and subsequently design and develop a Computerized Patient Information Management System that would support medical personnel to collect, process, stores, retrieve and disseminate patient information, and improve reporting for meaningful use by the managers in decision making. To achieve the objectives of this study, 55 respondents who comprised of doctors, records staff, nurses, patients, clinical officers, and administrative staff. Information technology developments for health care providers have been seen for years as the perfect supporting tools to assist in the prevention and management of these conditions. Therefore, the study was designed to take lessons from health and information systems literature and existing experience in successful implementations at Kampala International University Teaching Hospital. Case study design was the methodology chosen for this study, interviews, and observation; primary data collection methods were used. Field findings showed that the current manual system in Kampala International University Teaching Hospital had shortcomings like subjecting patients to long queues, lack of privacy for patient information, lack of efficiency and security. As a result, this study came up with a computerized patient information management system for health care that addresses the bottle necks is the manual system.

9 illus, 6 ref.

023249   SEKERA N, TRIPATHI S P (Dr. APJ Abul kalam Technical Univ (AKTU), Uttar Pradesh) : Creating an empowering environment for women through information & communication technology: A study of women power line’ 1090. Int J Multidiscipl Res Dev 2017, 4(11), 154-62.

Empowerment of women is essentially the process of upliftment of economic, social and political status of women, the traditionally underprivileged ones, in the society. It involves the building up of a society wherein in women can breathe without the fear of oppression, exploitation, apprehension, discrimination and the general feeling of persecution which goes with being a woman in a traditionally male dominated structure. Women empowerment means equipping women to be economically independent, self-confident, and capable to face any difficult situation. The paper looks at the response and success of Helplines introduced to stem violence against women in the background of the crime rates in the state of Uttar Pradesh. A number of mobile apps have surfaced like Police and Women's helplines. This is a cross-gender study of the awareness of Women‘s helplines and efforts to reduce maternal mortality and provide better healthcare to women in the state. The paper is on the awareness and success of the women helpline 1090 which is established by the Government of Uttar Pradesh for the protection of women against violence and harassment faced by them in the society and at the workplace. This helpline has been introduced by the Government to control the criminal offences increasing against women and the UP Government is taking each and every measure to expand this service in the whole of the State. The objective is to provide a platform where every woman is able to register a complaint whenever they face any kind of harassment/problem whether at home/workplace and in all spheres of the society.

4 illus, 14 tables, 13 ref.

023248   ARUMUGAM J, PRAKASH M (PSG Coll of Technology, Tamil Nadu) : A study on microsoft academic search and google scholar: A gateway for researchers. Int J Multidiscipl Res Dev 2017, 4(11), 41-7.

This paper deals about the working techniques of Microsoft Academic Search and Google Scholar. MAS which automatically create a profile for authors who have published in the universe it searches. Therefore it is a good idea for scholars to check their profile and make any needed changes. Google Scholar provides a simple way to broadly search for scholarly literature. This paper deals the merits and demerits of both of these search engines for scholarly publishers. Most of the peer-reviewed Journals, non-peer reviewed journals and open access journals are indexed here. This paper is very much helpful for the research beginners and academicians for locating the related review of the literature.

10 illus, 10 ref.

023247   ACHEMOUKH F, AHMED-OUAMER R (Computer science dep, Univ of Mouloud Mammeri, Algeria- 15000, Email: achemoukh.farida@yahoo.fr) : Using temporal bayesian networks to model user profile evolution. J Digital Inf Mgmt 2017, 15(6), 339.

Modeling the user profile can be the first step towards personalization of information search. The user profile refers to his/her interests built across his/her interactions with the information retrieval system. It could be inferred from the recent search history limited to a single search session, during a short period of time to model short term user interests. On the other hand, from the whole search history, to model long term ones stable for a long time. In this paper, we present a personalized information retrieval approach for building and updating the user profile, based on Temporal Bayesian network. The theoretical framework provided by these networks allows better capturing and exploiting the change of user interests over time. Experiments carried out on TREC-1 ad hoc and TREC 2011 session Track collections show that our approach achieves significant improvements over a personalized search approach described in the state of the art and also to a baseline search information process that do not consider the user profile.

6 illus, 3 tables, 59 ref.

023246   LI Y (Arts Coll of Nanjing Tech Univ, China- 211 816, Email: 343379765@qq.com) : The design research of intelligent suitcase. J Digital Inf Mgmt 2017, 15(6), 320.

By means of advanced mobile internet technology and combining with practical problem in use of suitcase, the smart suitcase is researched and developed to meet users’ demands for safety, carrying and entertainment, so as to provide users’ trip with intelligent solution. Meanwhile, the innovation of core functional units of smart suitcase is proposed to implement intelligent design of traditional suitcase, research suitcase relevant elements repeatedly, improve function, shape, structure, material, technology as well as color, and enhance product quality via design. On the one hand, the topic research refreshes traditional trip mode so that people can experience the convenience of smart trip; on the other hand, it provides people with faster use mode and meets users’ demands for personalized as well as high-tech products. Nowadays, the design of smart products under the era of internet of things has become a new trend, which meets users’ demand for suitcase, enables users to control smart suitcase easily with enjoying the comfort brought by the product, and keeps creating benefits for users and society.

4 illus, 9 tables, 20 ref.

023245   PAN H, HUANG Z, HE Z (Changsha Univ of Science & Technology, China- 266 590, Email: linqupanhua@126.com) : Research on flexible customization of business function for intelligent traffic cloud platform. J Digital Inf Mgmt 2017, 15(6), 312.

According to the flexible customization requirements of Intelligent Traffic Cloud Platform business function, this paper proposed the flexible customized solutions of Intelligent Traffic Cloud Platform based on the business function framework of the existing Intelligent Traffic Cloud Platform. The plan regards the platform business function design and implementation of flexible customization model as the core. The storage of business function customization model is realized based on XML technology. It designs the driving strategy of flexible customization model and realizes the flexible customization of platform business functions. Finally, the feasibility and effectiveness of the proposed scheme is verified by a specific service function on the Intelligent Traffic Cloud Platform.

5 illus, 2 tables, 20 ref.

023244   MALHOTRA S P K, MANDAL T K (ICFAI tech school, Dehradun, Email: malhotrasatinder@gmail.com) : Enhanced photocatalytic activity of Ag-ZnO hybrid plasmonic nanostructures. J Mount Res 2017, 12, 67-72.

Noble metal/semiconductor oxide nanocomposites have considerable interest on degradation of pollutants from textile wastewaters. Ag-ZnO, as one of the noble metal/semiconductor oxide nanocomposite, is highly efficient catalyst in textile pollutant degradation that allows irradiation wavelength towards visible light region. Application of Ag on the surface of ZnO nanoparticles has caused enhanced photocatalytic activity of the Ag-ZnO composite owing to its greater degradation efficiency. Oxidation of the methylene blue consumes photo-generated holes and/or •OH radicals efficiently, blocking the electron-hole recombination and thus, increasing the total efficiency and acted as an efficient scavenger of the photogenerated electrons.

1 illus, 40 ref.

023243   CHANG S H (Science & Technology Policy Research and Information Centre, Taiwan, Email: shchang@narlabs.org.tw) : Key technology network of BioMEMS through patent analysis. Curr Sci 2017, 113(3), 462-7.

The growth of an ageing population and demand for telemedicine have rendered, biomicroelectromechanical systems (BioMEMS) as one of the internationally recognized prospective research areas. Previous studies have mostly emphasized on specific BioMEMS technology or the market application of such technology. However, these studies have not actively identified the key technology of BioMEMS and have not determined the technology development trend in recent years. In the present study, BioMEMS patents were used as a basis of analysis to build a technology network and conduct network analysis. The results showed that key BioMEMS technologies mainly comprised chemical containers, measurements, printed circuits and medical diagnoses. Therefore, BioMEMS technology is applicable to not only one technical field, but multiple technical fields. However, recent technological development has mainly emphasized medical diagnostic measuring technology rather than mature technologies such as chemical containers or printed circuits. An analysis of patent holders reveals that institutions which have developed BioMEMS technology for a relatively long period of time are public or semipublic agencies, indicating that government funding and support are necessary in the early phase of BioMEMS development. This study constructed a model of a patent technology network to investigate the development trend of BioMEMS technology.

2 illus, 3 tables, 34 ref.

023242   BARH A, BALAKRISHNAN M (ICAR-Directorate of Mushroom Research, Solan-173 213, Email: anupambarh6@gmail.com) : Smart phone applications: Role in agri-information dissemination. Agric Rev 2018, 39(1), 82-5.

Agriculture is a standout amongst the most critical imperative segments of our country. Farming contributes almost around 17.01% of India's GDP. There are different elements that affected the agriculture development; however the most essential bottlenecks are lack of instant information and drudgery involved in farming practices. To conquer these issues, agriculture should be made more alluring and done smartly. Already there are limited talks on climate smart agriculture, which aims for sustainable increase in agricultural productivity and incomes to meet out the current and future demands. Here, we are examining about how the mobile application can help agriculture development faster and hustle free. There are varieties of mobile applications, utilized over the globe for different segments, including farming, but here the usage is still is limited. We have elaborated various agricultural mobile applications which potentially can be used in farming and allied activities as indicated by their source and usage. In India, there are enormous opportunities for utilizing the smart phones as a part of agribusiness improvement. Its utilization is vital for quick growth and easy access to information to Indian agriculturists, farmers and growers.

20 ref.

023241   SINGH K, DANGI K L, SINGH N (Krishi Vigyan Kendra, Rajasthan) : Constraints as perceived by the Kinnow (Citrus deliciosa x Citrus nobilis) farmers in adoption of recommended technology in Rajasthan. Agric update 2017, 12(3), 376-82.

The present paper highlights the constraints levels of farmers of Kinnow recommended technologies in Sri Ganganagar (Rajasthan). Total 150 farmers were selected for study. There was no significant difference between two categories. It means that the small and big farmers had perceived more or less similar constraints toward Kinnow cultivation in the study area.

9 tables, 5 ref.

023240   JAT M K, BOCHALYA B C (Krishi Vigyan Kendra, Gujarat, Email: rewar.maya@gmail.com) : Knowledge of vermiculture technology among the rural women: A case of Rajasthan. Agric update 2017, 12(3), 371-5.

The research study was carried out in Bikaner district. Bikaner panchayat Samiti was selected purposely due promotion of organic farming in DBT project. Two villages Bharupuwa and Husangsar were selected purposively; as these villages are under DBT project and vermiculture technology was promoted in them. For the study total 120 respondents were selected. Pre-structured interview schedule was used for data collection. The major findings of the present study revealed that the overall knowledge of respondents was medium. Out of five aspects, the knowledge about the aspect of basic knowledge was very good than other aspect.

4 tables, 6 ref.

023239   VERMA H K, YADAV P, KAILASH (Agricultural Technology Application, Research Institute, CAZRI Campus, Rajasthan, Email: hemantverma478@gmail.com) : Association between the characteristics with perception of the member farmers of Gram Panchayat about farm television. Agric update 2017, 12(3), 357-60.

The study was conducted to determine the socio-personal, economical, communicational and psychological characteristics of member farmers of Gram Panchayat and to explore the relationships between selected characteristics of the member farmers and perception of the member farmers of Gram Panchayat about farm television. Data were collected through interviewing during the year 2012 from randomly selected eight taluka of Anand districts of Gujarat with the sample size of 96 respondents they were member of Gram Panchayat. Results indicated that slightly less than one third of the respondents were in secondary education group. Medium level of age group, extention contact, scientific orientation, risk orientation, economic motivation whereas farming experience, innovativeness were high and land holding were low level group. Majority of the member farmers had membership in one organisation. The independent variables like, extension contact and scientific orientation had positive and highly significant correlation, whereas education,social partification, economic motivation, risk orientation and innovativeness had positive and significant correlation with perception of member farmers of Gram Panchayat about farm television whereas farming experience had negatively significant correlation with perception of member farmers of Gram Panchayat about farm television.

2 tables, 1 ref.

022263   Vladimirov A V;Lipatov A N (NO, Innopolis University, Innopolis, Russia) : Economic model for evaluating efficiency of hard disk failure prediction algorithms. Far East J mathl Sci 2016, 100(11), 1941-9.

This work is devoted to the construction of an economic profit function based on the use of failure prediction algorithm in HDD data storage systems with an (N, k) threshold scheme of the redundant coding. These profit functions allow to unambiguously compare the efficiency of different prediction algorithms.

1 illus, 10 ref

022262   Vladimirov A V;Krutikov A A (NO, Innopolis University, Innopolis, Russia) : Comparison of machine learning algorithms efficiency for hard disk drive failure detection. Far East J mathl Sci 2016, 100(11), 1933-40.

Currently, the principal device for rapidly accumulating data storage is a hard disk drive (HDD). HDD is not a reliable storage unit having frequent failures that lead to financial losses during data recovery. This paper is focused on investigation and testing of well-known machine learning methods in solving HDDs - 6 - failure prediction task and their critical comparison. The key aim is to find criteria for comparison of prediction methods, check efficiency of prediction in terms of the criteria, conclude for the best machine learning methods fit to solve the task and adapt cross-validation procedure to adequate dataset partition. Developing efficient method for HDDs failure prediction will cause drop in data storage price.

2 illus, 1 table, 5 ref

022261   Verma K;Sharma R K (Computer Science and Engineering Dep, Thapar University, Patiala-470 04, Email: karun.verma@thapar.edu) : Recognition of online handwritten Gurmukhi characters based on zone and stroke identification. Sadhana 2017, 42(5), 701-12.

Handwriting recognition is a technique that converts handwritten characters into a machine-processable format. Handwritten characters can either be presented to machine online or offline. A good amount of research in this area has been carried out for English, Chinese, Japanese and Korean languages. Research is also going on for Indian languages on developing online handwriting recognition systems. Headline and baseline are common features in most Indic languages which divide a character into three zones, namely, upper, middle and lower zones. Identification of headline and baseline is a major task for classification of strokes located in these three zones. A zone identification algorithm is proposed and testes in this text for online handwriting recognition of Gurmukhi script. The strokes are grouped into these separate zones and are recognized based on respective support vector machine model for each zone. A rule-based approach has also been applied and tested for generation of characters from the set of recognized strokes. In this work, an accuracy of 95.3% has been achieved for zone identification and an accuracy of 74.8% has been achieved for character identification for Gurmukhi script. This accuracy has been achieved when the recognition engines of three zones were tested on the dataset of 428 characters each written by 10 users.

10 illus, 6 tables, 35 ref

022260   Iqbal S;Sheetlani J (NO, , Computer Application Dep, Sri Satya Science Univ of Technology and Medical Sciences) : Application of modified K means clustering algorithm in segmentation of medical images of brain tumor. Biosci Biotechnol Res Asia 2017, 14(2), 735-9.

The process of segmenting medical images serves as a vital technique in partitioning the image into different clusters or homogeneous regions. Lots of techniques and algorithms were developed and applied - 5 - in various applications. Magnetic Resonance Images (MRI) are used for producing images in the soft tissues of human body. The presence of noise in the MRI images of Brain is a multiplicative factor and the reduction of noise is required to obtain good quality in segmentation. However, the concept of accurate segmentation in MRI images is more important and crucial for the proper diagnosis by computational tools aided to perform clinical studies. More clustering algorithms were developed for the segmentation of images from magnetic resonance. However most of them have their limitations and in order to overcome those limitations, a modified version of k means clustering methodology is proposed. The comparison of existing approaches in segmentation such as C-Means Clustering and K-Means Clustering with the Modified version of K Means Clustering is performed to evaluate the performance. Finally certain outcomes were generated in the clustering algorithm of Fuzzy c- means, k-means and modified version of k means for MRI taken in brain and it was observed that the modified version of clustering technique in Kmeans gives better results for the complete performance by measuring parameters such as the index measure of structural similarity, content of structure, mean squared error and analysis of signal noise ratio.

1 table, 10 ref

022259   Gupta D L;Saxena K (Computer Science and Engineering Dep, Kamla Nehru Institute of Technology, Sultanpur-228 118, Email: dlgupta2002@gmail.com) : Software bug prediction using object-oriented metrics. Sadhana 2017, 42(5), 655-69.

Software quality is the fundamental requirement for a user, academia person, software developing organizations and researchers. In this paper a model for object-oriented Software Bug Prediction System (SBPS) has been developed. This model is capable of predicting the existence of bugs in a class if found, during software validation using metrics. The designed model forecasts the occurrences of bugs in a class when any new system is tested on it. For this experiment some open source similar types of defect datasets have been selected for prediction of bugs, of which a few are not involved in model construction. First of all, we have formulated some hypotheses corresponding to each and every metric, and from metrics validation based on hypothesis basis finally 14 best suitable metrics have been selected for model creation. The Logistic Regression Classifier provides good accuracy among all classifiers. The proposed model is trained and tested on each of the validated dataset, indlucing validated Combined Dataset Separately too. The performance measure (accuracy) is computed in each case and finally it is found that the model provides overall averaged accuracy of 76.27%.

3 illus, 8 tables, 18 ref

022258   Bharathy A M V;Basha A M (NO, Anna University, Chennai-600 025, Email: viswabharathy86@yahoo.co.in) : Multi-class classification MCLP model with particle swarm optimization for network intrusion detection. Sadhana 2017, 42(5), 631-40.

The critical data we share through computer network gets stolen by unethical means. This unethical way of accessing one's data without proper authentication becomes intrusion. To solve this issue, in this paper we propose a new network intrusion detection method, Multi-Class Classification Multiple Criteria Linear Programming (MCC-MCLP) model. MCLP is a mathematical classification technique that is used widely to solve real-time data mining problems. So far, the literature discusses only about binary classification of MCLP. But in this paper we propose a Multi-Class Classification MCLP model. We use PSO for fine-tuning the parameters of MCC-MCLP. KDD CUP 99 data set is used for performance evaluation of the proposed method. Our MCC-MCLP method classifies the data better and helps in fine-tuning the parameters with the help of PSO. The results clearly show that the proposed model performs better in terms of detection rate, false alarm rate and accuracy.

7 illus, 7 tables, 42 ref

021303   Vedavathi N;Bharadwaj R S (Computer Science and Engineering Dep, NIE Institute of Technology, Mysuru, Karnataka) : Issues and challenges in social networks for recommender system in E-learning: A survey. Int J latest Technol Engng Mgmt appl Sci 2017, 6(7), 156-8.

With the rapid evolution of information and communication technologies (ICT), e-learning has become one of the - 9 - major trends in web based learning. Nowadays, learners in an e-learning system are into virtual education environment in which they do not need others assistance in the process of learning. The role of social networks in e-learning is supportive and important. Social leaning occurs when a group of individuals interact to support each other in learning process using any media; one of them is social media. It is required to meet every learner's individual needs through highly personalized recommendation system. This paper focuses on discussion of various works carried out on the importance of social media for a recommender system in an e-learning environment.

17 ref

021302   Tiwaskar S A;Patil D D (Computer Engineering Dep, VIIT College of Engineering, Pune) : Development of framework for moving object detection and tracking in video sequences. Int J latest Technol Engng Mgmt appl Sci 2017, 6(7), 70-5.

Object detection and tracking is an important and challenging task required in many computer vision applications and is an active research area in computer vision. Object detection involves locating the object in a frame of a video and tracking involves locating the moving object over a period of time. The task of moving object detection and tracking is a difficult because of illumination changes, dynamic background, occlusion, cluttered background, presence of shadows, motion of camera and video noise. The aim of this paper is to propose a framework for moving object detection and tracking in a video sequence. This framework detects and tracks moving object from video sequences and plots its motion trajectories which can be used for many applications like people tracking, vehicle tracking, traffic monitoring, video surveillance, in robotics and many more. We have used correlation based approach to track the moving object from video sequences.

9 illus, 26 ref

021301   Sajjad P;Challa M (Computer Science and Engineering, CMR Institute of Technology, Bangalore, Karnataka) : Secure access to personal health record data using hadoop framework. Int J latest Technol Engng Mgmt appl Sci 2017, 6(8), 72-4.

Hadoop is a free software framework utilized for appropriated storage and circulated handling of the exceptionally tremendous measure of information. HDFS is a Hadoop Distributed File System which gives various key components like adaptable, capable and dependable. It gives the information duplication highlight to keep away from the single purpose of disappointment. The MapReduce system is utilized to handle the information and this information will be partition into blocks these blocks will be prepared parallel and each block will be repeated inside the cluster to maintain a strategic distance from the disappointment. The MD5 encryption is used to store the data in encrypted format. These methods are used to upload/download the PHR data.

4 illus, 4 ref

021300   Prakash B R;Ramesh D (Master of Computer Applications Dep, Sri Siddhartha Institute of Technology, Tumkur) : Recent developments and reviews in sentimental analysis of big data. Int J latest Technol Engng Mgmt appl Sci 2017, 6(7), 64-9.

With the increasing need for understanding customer behavior and - 8 - need for better buyer-seller relationships more than ever sentiment analysis has become one of the major tool in today's time. The growing data and the need for faster computation efficient and more reliable processes of SA (sentiment analysis) are preferred and are in great demand.SA as a field of science has grown a lot from its earlier days. With the advent of big data practices, this paper focuses on processes followed in performing SA on big data and how big data tools and frameworks go along with sentiment analysis and it also highlights the gaps and suggests future works that should be explored.SA studies need to be expanded into providing better scalability and velocity along with reliability.

2 tables, 19 ref

021299   Ojha M;Degaonkar P;Jadhav O;Thomas J;John J (Computer Engineering Dep, Fr. C.R.I.T., Vashi, Navi Mumbai) : Human-computer interaction using smartphones. Int J latest Technol Engng Mgmt appl Sci 2017, 6(7), 109-11.

Authors propose a system to make the Human-Computer Interaction more user friendly by using a Smartphone as a medium for interaction. This paper discusses how different Smartphone sensors can be used to interact with the computer from a finite distance. We also discuss the literature survey, design, advantages and disadvantages of the proposed system.

2 illus, 9 ref

021298   Nayak V;Roopa E (Information Science & Engineering Dep, R.V. College of Engineering, Bengaluru-59, Karnataka) : Empowering educational institutes using data warehouse. Int J latest Technol Engng Mgmt appl Sci 2017, 6(7), 102-4.

The need to access data is a very common requirement now a days, be it a non-profit organization or full-fledged business organization. Decision makers have always needed data to make informed and accurate decisions. Data-driven decision support systems, such as data warehouses can serve the requirement of extraction of information from more than one subject area. Data warehouse can provide the information required by the decision makers at their fingertips. Usually data warehouses are built for an organization where revenue and profits are more important. The data warehousing technology need not be limited to usage by business organizations, its usage can be extended to non-profit areas like education and e-governance which can enhance the productivity. Current enrollments count in thousands in any reputed institute. The management challenges include meeting diverse student needs, increased complexity in academic processes. The complexity of these challenges requires continual improvements in operational strategies based on accurate, timely and consistent information. An information warehouse can deliver the required information to the decision makers and provide an insight into the overall situation. This greatly facilitates decision makers in taking micro level decisions in a timely manner without the need to depend on their IT staff. This scenario is applicable to education domain also. This paper provides the way in which productivity of education institute can be improved by using data warehousing technology.

3 illus, 5 ref

021297   Malik M;Sharma M (Computer Science and Engg Dep, Maharishi Dayanand Univ, Rohtak, Haryana) : Investigation on mobility influence on MAC protocols of wireless sensor networks. Int J latest Technol Engng Mgmt appl Sci 2017, 6(7), 95-101.

The collection of sensor nodes, which form a dynamic and arbitrary network by connecting on a wireless medium is called wireless sensor networks. This definition implicitly describes that links may appear or disappear at any time because of node mobility & other factors. The communication is completely dependent on the nodes (source and destination) of network. For a network to work efficiently various protocols for routing have been developed. These protocols provide the path among distant nodes via multi-hop links to improve network efficiency. The Protocols' performance affected by the various factors, such as mobility of nodes, varying network size, bandwidth and power consumption of node. This paper describes comparative analysis of protocols with reactive routing such as (AODV, DSR and DYMO) used in day-to-day scenario, under the - 7 - Influence of different mobility models: like File, Group Mobility and Random-Way Point Model. The differentials of performance are investigated by altering the number of nodes and different mobility models, depending on the simulation results, how the efficiency of each protocol can be improved is also recommended. By using simulator we simulates throughput, average jitter packet delivery ratio and average end to end delay, in network layer hop count and RTS, CTS and ACK in MAC of protocols. For the above parameters simulation is performed with QualNet 5.0 simulator. The results show expressively noticeable Influence of mobility models on performance of routing protocols.

9 illus, 2 tables, 20 ref

021296   Mahanta H J;Khan A K (Computer Science and Engineering Dep, Assam Univ, Silchar, Assam, Email: hridoy69@gmail.com) : Implementation of RSA and CRT-RSA with MIST to resist power analysis attacks. J VLSI Des Tool Technol 2017, 7(3), 1-12.

Security has transformed out into a fundamental range of research in space of computer science. With the advancement of side channel attacks, all the private and public key cryptosystems accessible worldwide has been discovered defenceless. Accordingly there has broughtdireness up in planning resisting systems against such unpredictable attacks. Power analysis attacks, which is the most famous side channel attacks has turned out to be a test for the majority of the normal cryptosystems like advanced encryption standard (AES), data encryption standard (DES), Rivets-Shamir-Adleman (RSA), ECC and so forth. MIST is an algorithm which was intended for processing exponentiation. As the most critical operation of RSA is the modular exponentiation for encryption and decryption, MIST can assume an imperative part in planning modified RSA to counteract power analysis attacks. We have extended our work CRT-RSA (Chinese Remainder Theorem-Rivets-Shamir-Adleman) which is more widely used in computation. The analysis results shows that modified RSA can perform better in computing RSAespecially when CRT is has been used. The results have also been verified using VHDL (very high speed integrated circuits).

7 illus, 5 tables, 16 ref

021295   Kumar R;Baboo S S (NO, M.S Univ, Tamil Nadu) : An optimized framework for precise motif discovery by merging SBF with pruning method. Int J latest Technol Engng Mgmt appl Sci 2017, 6(7), 46-53.

Motif mining became more popular and got more attention towards data mining field due to its real world applications such as health prediction, locating previous patterns in time series database. Motifs are the most correlated pair of subsequences in sequence objects. Motif discovery is hard on emerging applications which have long sequences or applications where queries arrive rapidly. Since correlation computations and prune subsequence techniques requires different ordering on examining subsequence pairs, Existing works cannot bring faster computation of correlations and prune subsequence pairs at the same time. In this paper we propose a new framework called F-Motif (Fast-Motif) which comprises two level approaches for pruning subsequence at outer level and fast correlation computation at the inner level. In our Experimental results, our framework performed 3X faster than existing methods.

13 illus, 1 table, 24 ref

021294   Haque S M F;Srikanth V;Reddy E S (NO, Maulana Azad National Urdu Univ, Hyderabad, Telangana) : XSCDF: Towards at framework for comprehensive software clone detection and visualization using ontology. Int J latest Technol Engng Mgmt appl Sci 2017, 6(7), 137-48.

Software development has become a complex phenomenon as there are increased and ever-changing expectations from clients. In fact the development teams often feel the pressure of releases. They indulge in less than ideal approaches as well to produce code. Sometimes they cut and paste code causing code duplicates or code clones. Clones can lead to propagation of bugs and cause maintenance issues. Detection of code clones has plethora of advantages including copyright protection, elimination of duplicates by refactoring, exploration of design patterns for industry best practices and so on. Analyzing big software projects and finding duplicates is tedious task. Many researchers contributed towards identifying different kinds of clones and detection techniques. However we felt a comprehensive and extendable framework that not only supports clone detection but also visualization techniques for easy comprehension are lacking. In this paper, we propose such framework named eXtensible Software Clone Detection Framework using ontology concept (XSCDF) which is generic and supports clone detection of different languages. It provides placeholders for future techniques. We built a prototype application using Java programming language to demonstrate the proof of concept. Ontology concept is used to visualize clone detection results. The empirical results reveal that the framework has multi-language support for duplicate code detection.

8 illus, 2 tables, 32 ref

020325   Wang F;Hu L;Hu J;Zhou J;Zhao K (College of Computer Science and Technology, Jilin Univ, Changchun, China) : Recent advances in the internet of things: multiple perspectives. IETE Tech Rev 2017, 34(2), 122-32.

In - 7 - this paper, we categorize and summarize recent advances in the Internet of Things (IoT) to complement existing IoT survey papers that have not covered its very latest developments. We do this from the three perspectives: information fusion in the IoT, service-oriented IoT, and cloud-centric IoT. These three aspects are largely missing in current literature. This survey contributes to better understanding of the challenges posed by the existing IoT and its likely future developments. The IoT is in the early stages of development. Challenges for future development include network scalability, a continuously produced data stream, and methods for handling heterogeneous data. This review provides insight regarding the three aforementioned aspects. In addition, we briefly summarize the existing literature with explicit references to the corresponding survey papers, thus, providing a panoramic view of the IoT without repeating what is already available in the literature.

2 illus, 54 ref

020324   Tank D;Aggarwal A;Chaubey N (Information Technology Dep, L. E. College, Morbi, Gujarat) : Security analysis of openstack keystone. Int J latest Technol Engng Mgmt appl Sci 2017, 6(6), 31-8.

OpenStack is one of the most used cloud management software today. OpenStack is a free and open-source software platform for cloud computing, mostly deployed as an infrastructure-as-a-service (IaaS). We have selected OpenStack as one of the underlying infrastructure service layer tool because OpenStack allows us to modify our cloud to fit into custom infrastructures that may be necessary for scientific research. Keystone is the key component of OpenStack responsible for authentication and authorization. As the distributed nature of OpenStack services, Keystone plays a major role in binding all of the projects together. Not only do we have to be wary of the services that connect to Keystone but also have to be cautious of the kinds of input and data we give to Keystone from the external sources. The security and protection of the identity and token repository for OpenStack needs to be the most protected component within cloud infrastructure. As the threat surface in cloud changes constantly, security is one of the biggest concerns for any cloud solutions. Deploying the open source cloud raises additional challenges since the intruders have access to the cloud source code and can assess its vulnerabilities. In this paper, we systematically analyze the security aspects of the OpenStack keystone and explore the threat model against, and security requirements of, OpenStack keystone. We then propose a new authentication model using the RESTful API to satisfy the security needs of OpenStack Keystone. The proposed authentication model can accommodate a diverse set of security services.

9 illus, 2 tables, 20 ref

020323   Solanki N;Shah D;Shah A (Information Technology Dep, Silver oak College of Engineering & Technology, Ahmedabad, Gujarat) : Survey on different framework of PHP. Int J latest Technol Engng Mgmt appl Sci 2017, 6(6), 155-8.

As per Current Market, PHP is a widely-used, open source scripting language which support different framework with advance functionality. So it is necessary to identify the best framework for our system or application. This paper will help you to find the best framework for your application. In this paper we also include the advantage and disadvantage of each framework.

2 illus, 9 ref

020322   Singh S;Saxena N;Roy A;Kim H S (Electrical and Computer Engineering, Sungkyunkwan Univ, Suwon, South Korea) : Survey on 5G network technologies from social perspective. IETE Tech Rev 2017, 34(1), 30-9.

The rapid advancement in communication technological innovations results in proliferation of heterogeneous smart devices in the network. The inter-communication of these devices is usually related to their social behaviour and relationships. Furthermore, upcoming 5G network promises to bind all the network technologies like Internet of Vehicles (IoV), Internet of Things (IoT), Mobile Cloud Computing (MCC), Smart Grids (SG), Big Data, and Device-to-Device (D2D) communications in a common network. To achieve this unified goal, one promising possibility is to exploit social - 6 - properties of various smart devices used by these technologies. Exploitation of social aspect can dispense optimized networking while avoiding problems like, network congestion, resource allocations, and the like. It also leads to convergence of upcoming 5G network technologies and human society giving rise to a new paradigm known as "socio-5G network technologies". The state-of-the-art research on socio-5G network technologies is reviewed with the focus on six important technologies that 5G promises to support in one integrated network: IoV, IoT, MCC, SG, Big Data, and D2D communications. We also discuss the open issues related to combining social aspect with above-mentioned technologies.

3 illus, 6 tables, 41 ref

020321   Singh R;Mahajan S (Computer Science & Engineering Dep, Beant College of Engineering & Technology, Gurdaspur) : Improved elliptic curve cryptography with RFID protocol based on DNA technique. Int J latest Technol Engng Mgmt appl Sci 2017, 6(6), 117-21.

RFID based systems are one of the mainly generally widen applications for tagging as well as maintain tracking purposes in IOT deployment. Confined sources of RFID programs creating the presenting of a solid and effective safety program really complicated process. The protected ECC- centered validation process to get rid of the present RFID vulnerabilities raise be apprehensive communication way among marked as well as bookworm. This paper represents the performance of ECC based encryption technique using DNA based encryption. The most important goal of this paper is to recover the computational speed.

4 illus, 3 tables, 15 ref

020320   Sharma A;Deora M S (Research Scholar, Paher Univ, Udaipur, Rajasthan) : Integrated selective and optimize broadcasting method (ISOBM) for mobile Ad-hoc network. Int J latest Technol Engng Mgmt appl Sci 2017, 6(6), 179-83.

For the mobile ad-hoc network, flooding is mechanism of broadcasting messages between the nodes due to absence of pre-setup infrastructure. Flooding define as a method to broadcast control messages that assists routing protocols. In the flooding method, nodes that receive flooded message first time are responsible for rebroadcasted the message to others. Flooding occurs redundancy of packets in the network means each node receives multiple copy of same packet from the broadcasting node. This property of flooding leads broadcast storm problem that results redundancy in message retransmission, collisions, wastage of resources such as bandwidth, battery power etc. To control flooding, number of methods suggested that concentrate on different criteria and concerns. In this paper, a study has done on 1-hop neighbor knowledge based flooding methods. Also, a method is proposed based on 1-hop neighbor knowledge that named as Integrated Selective and Optimize Broadcasting Method (ISOBM). Proposed methods is experimental simulated in network simulator tool i.e. NS-2 considering several simulation parameters and evaluated by various parameters like routing efficiency, routing overhead, remaining battery power and good-put.

8 illus, 14 ref

020319   Said O;Albagory Y (Mathematics and Computer Science Dep, College of Science, Menoufia Univ, Menoufia, Egypt) : Internet of things-based free learning system: performance evaluation and communication perspective. IETE J Res 2017, 63(1), 31-44.

In this paper, authors aim to apply the Internet of Things (IoT) technology to the E-learning environment and create a global learning system that utilizes available learning resources all over the world. We have called it the free learning (F-learning) system. We introduce a simple F-learning architecture consisting of smart classrooms and remote and virtual labs. These components communicate with each other autonomously using the IoT concept. We apply the Constraint Application Protocol to the proposed F-learning system. Network simulator NS2 is used to compare the efficiency of the F-learning environment to a traditional E-learning one. The simulation results show that the F-learning system has lower packet loss and delay as - 5 - well as larger throughput. Authors also show the feasibility of establishing the F-learning based on high-altitude platforms.

10 illus, 5 tables, 57 ref

020318   Prajapati P;Bhatt N;Bhatt N (Computer Engineering Dep, CSPIT, CHARUSAT, Gujarat) : Performance comparison of different sorting algorithms. Int J latest Technol Engng Mgmt appl Sci 2017, 6(6), 39-41.

Sorting is the basic operation in most of the applications of computer science. Sorting means to arrange data in particular order inside computer. In this paper we have discussed performance of different sorting algorithms with their advantages and disadvantages. This paper also represents the application areas for different sorting algorithms. Main goal of this paper is to compare the performance of different sorting algorithms based on different parameters.

2 tables, 10 ref