Informatics Publishing Limited

Ranjeet Singh , K. R. Sashidharan , A. M. Salarkhan , R. Mahalakshmi

Abstract

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R. Mahalakshmi ¹, E. S. M Suresh ¹

Affiliations
1 Educational Media Centre, NITTTR, Chennai-600 025, IN

Abstract

The primary objective of this paper is to unveil the specific problems noticed in the quality of the MCA students emerging out of Anna University affiliated colleges and to suggest a research work which may lead to a collective feasible solution for these problems. MCA students enter the professional PG course in computer applications after their UG degree from different arts and science disciplines with just ancillary level mathematics background. So, the course faces heterogeneous entry behaviour. Also due to the advent of more engineering and arts colleges offering MCA, students exhibit a heterogeneous behaviour in their motivation levels, communication skills, logical and reasoning aptitude and computer software skills. But the requirement is to enable them with good academic performance with scope of employability. Employability skills include communication skills, logical aptitude, programming logic, computer-software-based technical skills and so on. Learning management system (LMS) is a software through which students can access the course, enroll, attend and write formative quiz-type exams to assignments and can participate in forums to share their ideas through online. While participating in a forum or quiz or writing to a blog, students with less confidence are able to overcome their inhibition and communicate freely. This is the first step of growth in communication skills which subsequently help them to gain better technical skills. The current research proposes to design, develop and deliver a part of a computer science courseware for 'Object oriented programming with Java' through the Open source LMS Moodle. The design of courseware includes the lecture session of the course, lecture notes, corresponding formative evaluation questions like quiz and other evaluation methods like forum and assignments. Installing an LMS and making the students attend the classes through that media is a matter of hesitation in many of the Indian Universities. Though Open source LMSs like Moodle and Sakai are available and proved good, initial efforts have to be put up not only by the faculty members for content and formative evaluation tool development but also by the administration. Administration has to support the project financially, in gaining the necessary infrastructure and for the internet connectivity throughout the learning period. But, weighing the benefits and limitations of LMS, we understand that for the better future of the students in the national and international level, in the long run LMS-based education will serve the best. A research project to justify the advantages and disadvantages quantifying the various aspects is planned. This paper also suggests that if at least one of the pre-final semester papers is offered through an open-source LMS, the students, institution and the nation will be benefitted.

Keywords

MCA(Master of Computer Applications), LMS (Learning Management Systems), UG (Undergraduate)

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A. Balu ¹, S. Murugesan ¹, P. Senthilkumar ¹, R. Mahalakshmi ¹, K. Dhileepan ²

Affiliations
1 Institute of Forest Genetics and Tree Breeding, Coimbatore, Tamil Nadu, 641002, IN
2 Ecosciences Precinct, Biosecurity Queensland, Department of Agriculture, Fisheries & Forestry, 41 Boggo Road, Dutton Park, Qld 4001, AU

Abstract

Prickly acacia (Vachellia nilotica subsp. indica), a native multipurpose tree in India, is a weed of National significance, and a target for biological control in Australia. Based on plant genetic and climatic similarities, native range surveys for identifying potential biological control agents for prickly acacia were conducted in India during 2008-2011. In the survey leaf-feeding geometrid, Isturgia disputaria Guenee (syn. Tephrina pulinda), widespread in Tamil Nadu and Karnataka States, was prioritized as a potential biological control agent based on field host range, damage potential and no choice test on non target plant species. Though the field host range study exhibited that V. nilotica ssp. indica and V. nilotica ssp. tomentosa were the primary hosts for successful development of the insect, I. disputaria, replicated no - choice larval feeding and development tests conducted on cut foliage and live plants of nine non-target acacia test plant species in India revealed the larval feeding and development on three of the nine non-target acacia species, V. tortilis, V. planiferons and V. leucophloea in addition to the V. nilotica ssp. indica and V. nilotica ssp. tomentosa. However, the proportion of larvae developing into adults was higher on V. nilotica subsp. indica and V. nilotica subsp. tomentosa, with 90% and 80% of the larvae completing development, respectively. In contrast, the larval mortality was higher on V. tortilis (70%), V. leucophloea (90%) and V. planiferons (70%). The no-choice test results support the earlier host specificity test results of I. disputaria from Pakistan, Kenya and under quarantine in Australia. Contrasting results between field host range and host use pattern under no-choice conditions are discussed.

Keywords

Prickly Acacia, Acacia nilotica, Native Range Survey, Biological Control, India.

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S. D. Hamalatha , R. Mahalakshmi , R. Kavipriya

Abstract

To make a network last beyond the lifetime of an individual sensor, redundant sensors must be deployed. What sleep-wakeup schedule can then be used for individual sensors so that the redundancy is appropriately exploited to maximize the network lifetime? We develop optimal solutions to both problems for the case when wireless sensors are deployed to form an impenetrable barrier for detecting movements. In addition to being provably optimal, our algorithms work for non-disk sensing regions and heterogeneous sensing regions. Further, we provide an optimal solution for the more difficult case when the lifetimes of individual sensors are not equal. Developing optimal algorithms for both homogeneous and heterogeneous lifetimes allows us to obtain by simulation several interesting results. We show that even when an optimal number of sensors have been deployed randomly, statistical redundancy can be exploited to extend the network lifetime by up to seven times. We also use simulation to show that the assumption of homogeneous lifetime can result in severe loss (two-thirds) of the network lifetime. Although these results are specifically for barrier coverage, they provide an indication of behavior for other coverage models.

Keywords

Wireless Sensor Networks, Sleep-Wakeup, Sensor Deployment, Barrier Coverage, Multi-Route Network Flows.

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R. Mahalakshmi ¹, K. C. Sindhu Thampatty ²

Affiliations
1 Department of Electrical and Electronics Engineering, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Bengaluru - 76, Karnataka, IN
2 Department of Electrical and Electronics Engineering, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Ettimadai, Coimbatore – 641112, Tamil Nadu, IN

Abstract

Electrical energy generation from solar and wind is increasing day by day and the extraction of good quality electrical energy effectively as well as efficiently is really challenging. This paper focuses on the extraction of electrical energy from solar cells and interconnecting it to the single phase grid through a Quadratic Buck-Boost Converter (QBBC) and Multi Level Inverter (MLI). MLI uses three DC sources, one of which is derived from the solar array through QBBC with Maximum Power Point Tracking (MPPT) controller. In this paper, a new converter topology which accepts wide variations in input voltage has been designed to produce minimum distortion in MLI output with reduced number of switches. The proposed system is designed and implemented in the laboratory and the output is analyzed in different operating conditions

Keywords

Grid Connected PV Array, DC-DC Converter, Multi Level Inverter, MPPT Controller, Quadratic Buck Boost Converter

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R. Mahalakshmi ¹, R. Saranya ¹

Affiliations
1 VIT University, Vellore, IN

Abstract

Requirements management is a critical and essential phase for the delivery of the product to be successful. The requirements can be called as user needs or desired feature for a product. So, only with well defined requirements, the products can achieve success. To collect well defined requirements and to manage the specified requirements we make use of requirements management tools. The objective of this paper is to present the comparative study on different requirements tools that are available and to determine the most essential tool.

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V. Mareeswari ¹, R. Saranya ¹, R. Mahalakshmi ¹, E. Preethi ¹

Affiliations
1 Department of Software Engineering, School of Information Technology and Engineering, VIT University, Vellore, IN

Abstract

Diabetes mellitus is one of the world's major diseases. Millions of people are affected by the disease. The risk of diabetes is increasing day by day and is found mostly in women than men. The diagnosis of diabetes is a tedious process. So with improvement in science and technology it is made easy to predict the disease. The purpose is to diagnose whether the person is affected by diabetes or not using K Nearest Neighbor classification technique. The diabetes dataset is a taken as the training data and the details of the patient are taken as testing data. The training data are classified by using the KNN classifier and secondly the target data is predicted. KNN algorithm used here would be more efficient for both classification and prediction. The results are analyzed with different values for the parameter k.

Keywords

Data Mining Techniques, K Nearest Neighbor, Prediction of Diabetes, Classification, UCI Repository.

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R. Mahalakshmi ¹, M. Nandhini ², G. Kowsalya ²

Affiliations
1 Department of Computer Engineering, NPA Polytechnic College, Kotagiri- 643217, IN
2 Department of Computer Science, Government Arts College, Udumalpet-642126, IN

Abstract

In recent times, Social media has emerged as a personal communication media, as well as, a media to convey reviews about items and benefits or even political and general occasions among its clients. By using web and the web 2.0 the information in Twitter, Facebook and Instagram are easily retrieved. Because of its use across the board and prevalence, there is a monstrous measure of client surveys or feelings delivered and shared day by day. Mining client sentiments from Social Media is definitely not a straight forward assignment; it can be proficient in various ways. Gathering client sentiments can be costly and tedious assignment utilizing traditional strategies. This paper examines the challenges in doing sentimental analysis for Social Media.

Keywords

Data Mining, Internet, Social Media, Sentimental Analysis, Opinion Mining.

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