Informatics Publishing Limited

A. Priyanga ¹, V. Sivaranjani ¹, S. Subashini ¹, R. Ezhilarasi ¹

Affiliations
1 Department of Computer Science and Engineering, V.R.S College of Engineering and Technology, Arasur, IN

Abstract

In this paper strategy is recommended in order to boost the proficiency of the street lighting system and to preserve the vitality utilization by the system with the assistance of ZIGBEE and sensor. It utilizes ZigBee-based remote gadgets which empower more proficient street light system administration. The sensor blend is to control and assurance the coveted system parameters. The status of the street light is exchanged point by point utilizing ZIGBEE transmitters and receivers. This data is likewise sent to the control terminal used to check the condition of the street lights and subsequently we can take prompt activities if needed.

Keywords

Control System, Lighting System, Sensors, Zigbee.

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S. Subashini ¹, T. R. Mahesh ²

Affiliations
1 Singhania University, Rajasthan, IN
2 Department of Computer Science and Engineering, T. John Institute of Technology, Bangalore, IN

Abstract

With the rapid growth of the World Wide Web, the use of automated Web-mining techniques to discover useful and relevant information has become increasingly important. One challenging direction is towards Web usage mining, wherein one attempts to discover user navigation patterns of Web usage from Web access logs. Web usage mining is the process of mining web access logs or other user information, user browsing and access patterns on one or more web localities. Web usage mining provides the support for the web site design, providing personalization server and other business making decision, etc. Web mining applies the data mining, the artificial intelligence and so on to the web data and traces users visiting characteristics and then extracts the users using pattern. This article presents an interface for the user to interact dynamically with the dataset and trace the working of the algorithms such as Apriori algorithm and generalized sequential pattern analysis based on timestamp values.

Keywords

Data Mining, World Wide Web, Web Usage Mining, Web Content Mining, Web Structure Mining.

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Sowmya Nistala ¹, S. Subashini ¹

Affiliations
1 Department SENSE, VIT University, Chennai – 632014, Tamil Nadu, IN

Abstract

Background: Long Term Evolution (LTE) represents an emerging and competent innovation for giving an internet access. LTE standard paves way towards the fourth generation networks, which is intended to deliver high speed data as well as multimedia services. Statistical Analysis: In LTE system Radio Resource Management (RRM) plays a very crucial role in managing limited radio resources to enhance the data rate. The paper focuses in addressing the challenges in downlink scheduling and provides a solution for the users to achieve higher spectral efficiency and throughput. In LTE systems’ fading of a channel is a serious issue for signal degradation and the fading effect is minimized by a choice of time and space domain techniques. The overall performance of the algorithms is calculated in terms of the throughput and SNR where the resource distribution is analyzed and evaluated for every individual user %. Findings: Hence a novel scheduling algorithm is developed for Multiple Input Multiple Output (MIMO) systems, where as Alamouti scheme is used to reduce fading, for utilization of channel effectively and also transmit diversity is achieved without increase in bandwidth in LTE systems. The simulation results demonstrate that the developed scheduling algorithm provides effective throughput and fairness compared to some of the existing scheduling algorithms in LTE networks.

Keywords

Channel Quality Indicator (CQI), Multiple Input Multiple Output (MIMO), Orthogonal Frequency Division Multiple Access (OFDMA), Transmission Time Interval (TTI), User Equipment (UE)

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S. Subashini ¹, S. Appavu alias Balamurugan ²

Affiliations
1 Department of Computer Science Engineering, Fatima Michael College of Engineering and Technology, Madurai – 625020, Tamil Nadu, IN
2 Department of Information Technology, K.L.N. College of Information and Technology, Madurai – 630612, Tamil Nadu, IN

Abstract

Background: We study an important problem of similarity grouping processing on stream data that inherently contain uncertainty. Method: In this paper SBSP - [Stage by Stage Pruning] a novel pruning method is proposed for fast, accurate clustering and classifying the data where the two stages were grouped into a single framework MYFRAME. Findings: The proposed approach group the data-by-data level pruning using Manhattan distance in first stage. In the second stage, the data is grouped by object level pruning in hyperspace. Improvements: Currently, this approach is applied in real time applications such as object detection, video retrieval, people detection and tracking, earth quake monitoring etc.

Keywords

Clustering, Data Pruning, Distance, Group Nearest Neighbor, Grouping Process, Similarity Search, Uncertain Data Streams

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K. Elangovan ¹, S. Subashini ¹

Affiliations
1 VIT University, Chennai - 632014, Tamil Nadu, IN

Abstract

Background/Objectives: This paper considers combatting the jamming and selfish attacks in Cognitive Radio (CR) networks operating at the white (unused) and grey (underused) spaces in the RF spectrum. CR facilitates effective utilization of RF spectrum resources but still vulnerable to various network attacks. Methods/Statistical Analysis: This study considered the jamming and selfish type of attack detection and to defend against them because of its severity. An Intrusion Detection System (IDS) is formed to combat the against jamming and selfish type of attacks in CR. Findings: In this system cumulative-sum algorithm is used, which incorpates the control centre information over the channel. The cumulative-sum based algorithm shows improved performance in provisioning better packet delivery ratio, throughput and minimum energy and packet drop. Further, this algorithms works better for more number of Secondary Users (SU), and the Unlicensed Users. Applications/Improvements: This work can be enhanced further by simulating under various network attacks and in the presence of numerous SU.

Keywords

Cognitive Radio, Jamming Attacks, Network Security,Selfish Attacks, Secure Spectrum Sensing

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S. Subashini ¹, R. Velmurugan ²

Affiliations
1 Department of Management Studies and Research, Karpagam University, Karpagam Academy of Higher Education, (Deemed to be University Established Under Section 3 of UGC Act 1956) Coimbatore–64102, IN
2 Department of Commerce Karpagam University, Karpagam Academy of Higher Education, (Deemed to be University Established Under Section 3 of UGC Act 1956) Coimbatore – 64102, IN

Abstract

Indian insurance industry is growing to the large extent.There are 52 insurance companies operating in the country, including 24 in life and 28 in non-life segments. India as a country still remains 'under-insured'in terms of insurance penetration and density.Mis-selling of life insurance is ubiquitous and it is very common in insurance sector. It is providing wrong information about product features or exaggerated returns. Mis-selling complaints are the dominate kind of grievances in the life insurance industry (Source: IRDAI Annual Report 2014-15). The objective of the study is to understand the reasons for misselling of policies in public and private sector insurance companies. The primary data was collected by using the structured questionnaire and secondary data was collected from journals, newspapers and the internet. The study area is limited to Coimbatore District.The reason to conduct the study in Coimbatore district is that details pertaining to the misspelling in insurance is not available clearly and the previous research is not done in Coimbatore district.The result of the study discloses that agents make quick buck in form of insurance commission, heavy sales pressure, providing fake NAV units for the past data, Managing fake medical tests and proposal form filled by agents and other salesmen are the reasons for the misselling at LIC whereas heavy sales pressure, providing fake NAV units for the past data, managing fake medical tests, agents make quick buck in the form of insurance commissions and role Ambiguity are the main reasons for misselling at private insurance companies.

Keywords

Life Insurance, Mis-Selling.

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B. Vijaya Geetha ¹, K. S. Shreenidhi ¹, Varshini Anand ², H. Savithakshini ², S. Subashini ²

Affiliations
1 Department of Biotechnology, Rajalakshmi Engineering College, Chennai - 602105, IN
2 B. Tech Biotechnology, Rajalakshmi Engineering College, Chennai - 602105, IN

Abstract

One of the fastest-growing freshwater fish varieties is the Pangasius sp., which has a great capability for production and export growth. When Pangasius sp. is exposed to substances such as diclofenac, phenol, quinolones, sulfonamides, and tetracycline, even at low environmental exposure levels the fish tissue can develop chronic risk, genetic abnormalities, and histopathological changes. They come into contact with these antibiotics mostly through the discharge of pharmaceutical industry effluents, which contain antibiotic residues that are not been completely eliminated by wastewater treatment, thereby posing environmental concerns when released into aquatic ecosystems. The main objective of this review paper is to study the effect of the concentration of pharmaceutical drugs, farming techniques, and various substitutes for antibiotics that can be utilized to enhance the growth performance of Pangasius sp. Few studies conducted on toxicity demonstrated that increased mucus production in the gills and intestines, histological abnormalities in the liver and skin, and impaired immunoglobulin production have all been linked to sublethal phenol concentrations in fish. The consumption of these contaminated Pangasius sp. can raise various human health concerns. Therefore, exposure of Pangasius sp. to the detrimental pharmaceutical drug from industrial effluent must be held serious concern. Further research is required to conserve human health and the ecosystem.

Keywords

Antibiotics, Growth Performance, Pangasius sp., Pharmaceutical Effluents.

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