Other affiliations: Kidwai Memorial Institute of Oncology
Bio: T. Arunkumar is an academic researcher from VIT University. The author has contributed to research in topic(s): Optimized Link State Routing Protocol & Destination-Sequenced Distance Vector routing. The author has an hindex of 5, co-authored 21 publication(s) receiving 99 citation(s). Previous affiliations of T. Arunkumar include Kidwai Memorial Institute of Oncology.
Topics: Optimized Link State Routing Protocol, Destination-Sequenced Distance Vector routing, Wireless Routing Protocol, Routing protocol, Supply chain
Abstract: The present technology evolution of the traditional medical model toward the participatory medicine. It can boost the Internet of Things (IoT) paradigm involving sensors (environmental, wearable and implanted) spread inside domestic environments with the purpose to monitor the user's health and activate remote assistance. IoT can build deployment on things which can make them interact with each other and provide efficient service. Technically IoT is useful in processing full information,and tracking of the viable things also save time and cost. Nevertheless, IoT is well-off in transforming the lives of patients to new medical advancements. Therefore, the usage of IoT in healthcare has increased sharply. Example one can get the information to access, control and maintain the smart objects through the internet. Hence this comprehensive review discusses some of the recent technology used in healthcare domain.
TL;DR: Multi process prediction model is proposed to analyse customer behaviour using logistic regression method and the proposed model result is validated and compared with many existing online shopping customer models.
Abstract: Online purchase is one of the big changes to the retail marketing. As the lifestyle changed, the people are not going to shop for purchasing required items like gifts, accessories and any electronic items. Everyone started to use online and saving their time and money by getting a good offer through online shopping. Online shopping helps the customer to know the price of the item in advance and able to compare the price with different vendors. It helps the customer to buy the item from the vendor who offers the item with low-cost and good quality. The customer behaviour analysis always depends upon the usage of the internet and service provided by the multi vendor for the various products. Customer behaviour analysis is very much needed to help the vendors to define their strategy for online shopping, advertising, market segmentation and so on. The idea behind this work is to predict the customer behaviour based on their internet usage for various online shopping activities. Multi process prediction model is proposed to analyse customer behaviour using logistic regression method. The proposed model result is validated and compared with many existing online shopping customer models.
TL;DR: This work proposes a scheme of integrating and monitoring yoga activities using the concept of Internet of Things (IoT) and a smart application and claims that the various parameters like blood pressure and heart beat rate is improvised a lot after practicing yoga and the system is much helpful for the yoga persons to practice yoga in an effective manner.
Abstract: ‘Health is wealth’ which is now changed to ‘Losing health for gaining wealth’ in the modern society. People are having busy schedules and they are not concerned about their health. Studies shows that a lion share of people all over the world undergoes mental stress due to the circumstances and pressures from both family and office. This mental stress factors can physically and mentally deteriorate the creativity and productivity of a person. Yoga can be considered as one of the finest solutions in this case though it refreshes both physically and mentally. Yoga transforms a person balanced with mental, physical and spiritual elements in the right composition. In this technology era, it will be good to integrate yoga with the trends of technology. This work proposes a scheme of integrating and monitoring yoga activities using the concept of Internet of Things (IoT) and a smart application. The body sensors (Pressure, temperature, humidity) attached with the person doing yoga senses relevant data and is processed using a central processor (Smart phone or smart devices) to provide necessary suggestions or feed backs to the user. This work will provide a platform to the yoga practice person to monitor and review their yoga activities by themselves. Our research results claims that the various parameters like blood pressure and heart beat rate is improvised a lot after practicing yoga and our system is much helpful for the yoga persons to practice yoga in an effective manner.
TL;DR: The prioritization of software quality attributes is demonstrated to influence the software developers for providing the quality software product and the prioritization is established, product and process metrics.
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.
TL;DR: A mathematical model is presented that selects the optimal set of supply chains that match diverse characteristics of products and customers, including the required lead time, the supply chain lead times, the customer time sensitivity, and the complexity factor resulting from having multiple supply chains.
Abstract: It has become widely accepted that delivering diverse products to customers who have different needs by a “one-size-fits-all” supply chain results in lower profits and customer service. Therefore, there is a need to design supply chain systems that can effectively and profitably serve products and customers with diverse characteristics. This paper presents a mathematical model that selects the optimal set of supply chains that match diverse characteristics of products and customers. The model considers various product, customer, and supply chain characteristics, including the required lead time, the supply chain lead times, the customer time sensitivity, and the complexity factor resulting from having multiple supply chains. An example and a sensitivity analysis are used to demonstrate the model's capabilities.
TL;DR: The study confirmed that the subtilosin A has more antimicrobial activity to inhibit the Aeromonas toxins by interacting with their binding site residues for preventing extracellular cleavage.
Abstract: Subtilosin A, a cyclic peptide from Bacillus subtilis is known for its antimicrobial activity against a diverse range of bacteria. Herein, we report the specific interaction between subtilosin A against virulent proteins of Aeromonas hydrophila through in silico analysis. Aeromonas toxic proteins such as aerolysin and hemolysin were selected from the non-redundant database. The hemolysin protein was designed by homology modelling tool, and it was validated using Ramachandran plot. Then subtilosin A and target toxin proteins were energy minimized for further docking study. The whole docking experiments were done using antibody mode in Cluspro. Subtilosin A building an active interaction with Aeromonas toxins through H-bonds and protein–protein docking analysis revealed that the hemolysin has 6 H-bond interaction towards the antimicrobial target protein subtilosin A than aerolysin, which has 9 H-bonds. The most favourable interacting residues of subtilosin A are Thr6, Cys13, Ile19, Pro20, Asp21, Phe22, Glu23 and Gly35 involving in the strong H-bond formation and proceeds to inhibition of toxin. Hence, the study confirmed that the subtilosin A has more antimicrobial activity to inhibit the Aeromonas toxins by interacting with their binding site residues for preventing extracellular cleavage.
01 Mar 2021
TL;DR: It is concluded that StarTrack 2D array detector is favourable in the QA process because their implementation is not only easy, but gives information about the beam’s temporal stability and is particularly suitable for beam steering mounting.
Abstract: Electron beam therapy using linear accelerator done for patients with superficial cancerous tumors. Daily quality assurance is preferable to assess a good treatment for the patients. This study focuses on penumbra, flatness, and symmetry determination for four types of an electron beam using StarTrack 2D array for quality assurance. Eelectron beam with energies: 6MeV, 9MeV, 12 MeV, and 15MeV for both in-plane (x-axis) and cross-plane (y-axis) using Elekta synergy linac exposed to StarTrack 2D array readings during 16 weeks for testing the performance and stability of StarTrack. The testing protocol used is IEC.The beam profile estimation of variation, when compared with standard values of penumbra, flatness, and symmetry of electron beam energy at the time of commissioning, reveals that all had a variation but these variations are within the limits. It is concluded that StarTrack 2D array detector is favourable in the QA process. Their implementation is not only easy, but gives information about the beam’s temporal stability and is particularly suitable for beam steering mounting.
Abstract: As a successful business model, “in-app purchase” has been adopted by massive applications (Apps) gradually. Users can purchase various virtual goods in different kinds of Apps, such as the license to download movies or songs. In-app purchase helps App operators gain huge income, and meanwhile provides users with flexibility in using Apps. Recently, iOS Apps have suffered the attack of fraudulent purchase. Attackers leverage the vulnerabilities in iOS payment system to purchase virtual goods at zero or low cost. More seriously, unscrupulous attackers solicit customers publicly and provide purchasing services, which has caused huge financial loss to business entities. It becomes of great importance to detect the fraudulent in-app purchases in iOS Apps, and then take measures such as confiscating goods to minimize profit loss. In this paper, we propose a system called Payment-Guard to achieve this objective, which designs various features to characterize a purchase from four perspectives including App account behavior, device behavior, IP behavior and union behavior of (App account, device, IP), then conducts detection based on the features. We perform comprehensive experiments based on data collected from “Honor of Kings” App, which is one of the most famous MOBA games in China and allows players to recharge App accounts for virtual currency. Experimental results demonstrated that Payment-Guard can detect 92.2% malicious in-app purchases and with only 2% false positive rate.
••01 Jan 2021
Abstract: Automated software testing has proven its value for software development increasingly over the past few years. Software testing is an important phase in the entire software development process. There are various automated software testing tools are available today, which are used for testing various software applications whether it is desktop-based, mobile application, or a Web-based application. Evaluating a software testing tool is rather a subjective task, depending on the evaluator’s opinions rather than based on the objective approach. For this purpose, we have studied research papers, articles, journals, books, conference papers, few Web sites, etc., related with the study of software testing tools based on which we performed a survey of various automated software testing tools, i.e., Selenium, Watir, QTP, TestComplete, WinRunner, LoadRunner, SilkTest, Apache Jmeter, Wapt, Tellurium, Web Load, NeoLoad, LoadUI, Appvance, rational performance tester, SahiPro, Telerik Test Studio, Ranorex, Storm, Soap UI, TestNG, FitNese, Xebium, etc. The purpose of this research work is to summarize the existing literature and to establish an overview of the existing automated software testing tool to benefit the practice of users and for future research. We are attempting to provide detailed insight into automated software testing tools which can help the tester to choose the tool most suited to test his/her application.
Author's H-index: 5