T. Arunkumar

Bio: T. Arunkumar is an academic researcher from VIT University. The author has contributed to research in topics: Optimized Link State Routing Protocol & Destination-Sequenced Distance Vector routing. The author has an hindex of 5, co-authored 21 publications receiving 99 citations. Previous affiliations of T. Arunkumar include Kidwai Memorial Institute of Oncology.

Bee Optimized Fuzzy Geographical Routing Protocol for VANET

Abstract: Vehicular Adhoc Network (VANET) is a new technology which aims to ensure intelligent inter-vehicle communications, seamless internet connectivity leading to improved road safety, essential alerts, and access to comfort and entertainment. VANET operations are hindered by mobile node’s (vehicles) uncertain mobility. Routing algorithms use metrics to evaluate which path is best for packets to travel. Metrics like path length (hop count), delay, reliability, bandwidth, and load determine optimal route. The proposed scheme exploits link quality, traffic density, and intersections as routing metrics to determine next hop. This study enhances Geographical Routing Protocol (GRP) using fuzzy controllers while rules are optimized with Bee Swarm Optimization (BSO). Simulations results are compared to conventional GRP. Keywords—Bee Swarm Optimization (BSO), Geographical Routing Protocol (GRP), Vehicular Adhoc Network (VANET).

Fuzzy Enabled Geographic Routing Protocol for Vehicular Ad hoc Networks

Abstract: Vehicular ad hoc network (VANET) is a communication network used for vehicle to vehicle interaction and this network is different from other wireless networks. Geographical Routing Protocol (GRP) is used in VANETs. This study proposes a Fuzzy Quality of Service GRP (FQ_GRP) to enhance the performance of GRP routing. Link quality, traffic density and number of intersections are inputs to a fuzzy system and the fuzzy controller output is next hop selection. Simulations are conducted with 40 nodes around 9 square kilometers. The proposed FQ_GRP routing scheme, distributes the traffic through nodes so that the throughput is increased and average latency reduced. The proposed method achieves better throughput and lower end to end delay compared to traditional GRP.

Measurement of Transit Time of a Gammamed-Plus Remote Afterloading High Dose Rate Brachytherapy Source

Abstract: Accurate measurement of transit time of the HDR brachytherapy source of a remote after-loading unit is necessary to calculate the total radiation dose given to the treatment volume Presently, most of the HDR brachytherapy treatment planning systems neglect the transit time in the computation of dose The aim of this investigation is to use a well type ionization chamber to measure the transit time during the source movement between two dwell positions As well type ionization chamber and a precision electrometer (manufacturer CD instruments, Bangalore) were used to measure the charge generated during the movement of the Ir-192 source of a Gammamed HDR brachytherapy unit with an interstitial needle Effective transit time and effective speed were determined on the basis of methodology described by Sahoo [2] Corrections were done on the basis of relative sensitivity values for varaious dwell position in the ionization chamber In the present study the variation of effective speed with interdwell distance was minimal as compared with that of Sahoo [2] The effective transit times were 0129, 0182, 0301, 0402, 0701, and 0993 seconds for 1, 2, 4, 6, 8 and 10 cm interdwell separations respectively The effective transit times in the present study were higher than those of Sahoo [2] Software modification accounting for the dynamic dose should be incorporated into all HDR planning systems Such an improvement would enhance the safety and accuracy of HDR brachytherapy

A Survey on Prioritization of Software Quality Attributes

Abstract: Objective: The objective of the survey is to understand the need of software quality metrics in providing better software product. Without knowledge about the quality dependencies, conflicts, incurred costs, and technical feasibility it is very difficult to minimize the cost involved in software development. Statistical Analysis: The Quantitative feedback for the prioritization and cost/benefit considerations for quality requirements is highly recommended. The distinction between the utilization of software metrics and software quality confirmation is necessary to quantify the strength software product against vulnerabilities. The prioritization of software quality attributes is demonstrated to influence the software developers for providing the quality software product. The prioritization is established, product and process metrics. Findings: Various distinctive metrics identifying with upkeep are depicted. This will be trailed by brief exchanges about programmed gathering of software metrics information, use of gathered information, and expenses of software metrics. This survey has been formed with remarkably the quality components reasonableness and steady quality likewise, the quality model versatile quality identity a primary need. It is intended for my future investigation eagerness of ensuring nature of programming by means of mechanized data collection of the product quality measurements. Application: The benefits of an instrument, or a gadget set, to be conveyed, will preferably be to manage the bolster costs in a relationship in a more orchestrated and proficient way.

Big data and disaster management: a systematic review and agenda for future research

Abstract: The era of big data and analytics is opening up new possibilities for disaster management (DM). Due to its ability to visualize, analyze and predict disasters, big data is changing the humanitarian operations and crisis management dramatically. Yet, the relevant literature is diverse and fragmented, which calls for its review in order to ascertain its development. A number of publications have dealt with the subject of big data and its applications for minimizing disasters. Based on a systematic literature review, this study examines big data in DM to present main contributions, gaps, challenges and future research agenda. The study presents the findings in terms of yearly distribution, main journals, and most cited papers. The findings also show a classification of publications, an analysis of the trends and the impact of published research in the DM context. Overall the study contributes to a better understanding of the importance of big data in disaster management.

A study on various data mining techniques for crop yield prediction

Abstract: India is a country where agriculture and agriculture related industries are the major source of living for the people Agriculture is a major source of economy of the country It is also one of the country which suffer from major natural calamities like drought or flood which damages the crop This leads to huge financial loss for the farmers thus leading to the suicide Predicting the crop yield well in advance prior to its harvest can help the farmers and Government organizations to make appropriate planning like storing, selling, fixing minimum support price, importing/exporting etc Predicting a crop well in advance requires a systematic study of huge data coming from various variables like soil quality, pH, EC, N, P, K etc As Prediction of crop deals with large set of database thus making this prediction system a perfect candidate for application of data mining Through data mining we extract the knowledge from the huge size of data This paper presents the study about the various data mining techniques used for predicting the crop yield The success of any crop yield prediction system heavily relies on how accurately the features have been extracted and how appropriately classifiers have been employed This paper summarizes the results obtained by various algorithms which are being used by various authors for crop yield prediction, with their accuracy and recommendation

Application of bee colony algorithm for FANET routing

Abstract: FANET are wireless ad hoc networks on unmanned aerial vehicles, and are characterized by high nodes mobility, dynamically changing topology and movement in 3D-space. FANET routing is an extremely complicated problem. The article describes the bee algorithm and the routing process based on the mentioned algorithm in ad hoc networks. The classification of FANET routing methods is given. The overview of the routing protocols based on the bee colony algorithms is provided. Owing to the experimental analysis, bio-inspired algorithms based on the bee colony were proved to show good results, having better efficiency than traditional FANET routing algorithms in most cases.