Promethean Fuzzy Model to Predict Diabetic Foot Ulcer

J.Jayashree,Nikhil Chaudhari,N.Ch.S.N. Iyengar 보안공학연구지원센터 2016 International Journal of Hybrid Information Techno Vol.9 No.11

One of the most serious complications of diabetes is Diabetic foot. The incidence of diabetic foot increases equally on a rise of diabetic's increases and it is often ignored by people leading to a rise in major amputations. Diabetic foot disease diagnosis is done by using fuzzy logic and beneficial as it incorporates the knowledge and experience of physician into fuzzy sets and rules. In this paper, we propose a fuzzy expert system framework for diabetic foot which constructs large scale knowledge based diabetic foot system. The knowledge is constructed by using the fuzzification. Fuzzy verdict mechanism uses triangular membership function with mamdanis inference. Defuzzification method is adopted to convert the fuzzy values into crisp values.

A Review on Mobile Based Intelligent Systems for Homecare Monitoring of Diabetic Mellitus Foot Ulcer

J.Jayashree,N.Ch.SrimanNarayanaIyengar 보안공학연구지원센터 2016 International Journal of Smart Home Vol.10 No.8

The diabetic foot might display numerous complexities when they are not monitored frequently. Diabetics will lead to foot ulcer which in future leads removal of foot parts. Persistent homecare observing of the diabetic foot is very important where a frameworks coordinated to a Smartphone helped Model for analysis are required by doctors to enhance early finding. This paper presents a review on diverse frameworks related to homecare based diabetic foot monitoring and procedures utilized for diagnosing diabetic's foot.

Electricity Generation from Retting Wastewater Consisting of Recalcitrant Compounds Using Continuous Upflow Microbial Fuel Cell

Jayashree C,Sweta Singh,Arulazhagan P,염익태,Iqbal M. I. I,Rajesh Banu J 한국생물공학회 2015 Biotechnology and Bioprocess Engineering Vol.20 No.4

Recalcitrant compounds like phenol found in coconut husk retting effluent cause the deterioration of water quality when discharged from retting ponds into other water sources. Continuous upflow microbial fuel cell (MFC) was evaluated for treating retting wastewater at different loading rates to determine power generation, chemical oxygen demand (COD) consumption rate and phenol removal for a period of 270 days. A maximum power density of 254 mW/m2 was achieved during the treatment of retting wastewater (external resistance - 350Ω). COD removal of 70% was accomplished at a loading rate of 0.45 g COD/L reactor/day and phenol removal of 95% was obtained at a loading rate of 0.28 g phenol/L reactor/day. The power density exhibited an increasing pattern as the loading rate of MFC was increased from 0.45 to 2.69 g COD/L reactor/day. This study describes the treatment of retting wastewater employing continuous upflow MFC with 95% phenol removal. Therefore, MFC can be considered as an alternative for the efficient removal of phenol and current generation in retting wastewater.

Cloud Based Virtual Reporting Application

J. Vijayashree,J. Jayashree,Wang Kai,Yang Zhenning,Ronnie D. Caytiles,N.Ch.S.N. Iyengar 보안공학연구지원센터 2016 International Journal of Software Engineering and Vol.10 No.11

Cloud computing is a very powerful concept that can be used to enhance the next generation data center and allow service provider to use data center capability provided by cloud and develop the application based on user requirement. This work aims to develop an android based web application namely Cloud based Virtual Reporting Application (VRA) wherein the database is stored on the cloud which resembles large storage facility. VRA is basically an android application which can be used by managers of the organization to monitor their employees. It is one kind of employee monitoring application where the manager can monitor the location of the employee and keep track of the his location whether the employee has done the allocated work or not. The app makes use of GPS technology available in the mobile phone to monitor the location. In addition to this, OPENCV library is used for face recognition to verify the authentication of the employee.

A Novel Grasshopper Optimization-based Particle Swarm Algorithm for Effective Spectrum Sensing in Cognitive Radio Networks

Ashok J,Sowmia K R,Jayashree K,Priya Vijay 한국인터넷정보학회 2023 KSII Transactions on Internet and Information Syst Vol.17 No.2

In CRNs, SS is of utmost significance. Every CR user generates a sensing report during the training phase beneath various circumstances, and depending on a collective process, either communicates or remains silent. In the training stage, the fusion centre combines the local judgments made by CR users by a majority vote, and then returns a final conclusion to every CR user. Enough data regarding the environment, including the activity of PU and every CR's response to that activity, is acquired and sensing classes are created during the training stage. Every CR user compares their most recent sensing report to the previous sensing classes during the classification stage, and distance vectors are generated. The posterior probability of every sensing class is derived on the basis of quantitative data, and the sensing report is then classified as either signifying the presence or absence of PU. The ISVM technique is utilized to compute the quantitative variables necessary to compute the posterior probability. Here, the iterations of SVM are tuned by novel GO-PSA by combining GOA and PSO. Novel GO-PSA is developed since it overcomes the problem of computational complexity, returns minimum error, and also saves time when compared with various state-of-the-art algorithms. The dependability of every CR user is taken into consideration as these local choices are then integrated at the fusion centre utilizing an innovative decision combination technique. Depending on the collective choice, the CR users will then communicate or remain silent.

Architecture for Mobile Cloud Computing via Middle-Ware Technologies

Zhang Liuyang,J. Vijayashree,J. Jayashree,Ronnie D. Caytiles,N. Ch. S. N. Iyengar 보안공학연구지원센터 2016 International Journal of Software Engineering and Vol.10 No.12

Mobile devices are playing a vital role in information processing systems in day to day life. Current trend suggests that smart phones are going to be the first-most computing devices which many people will carry with them for maximum time everywhere. However, smart phones are still lacking behind the essential resources. This demands the need for Mobile Cloud Computing, where the key elements of data storage and data processing are carried outside the mobile devices. So this provides flexibility to mobile users as, the application and the data stored remotely can be accessed on-the-fly with high speed networks. Variation among the mobile network on basis of elements such as, bandwidth, unstable network and its uncertain availability are barriers for Quality Of Services in the performance. Thus the solution is to connect the mobile devices heterogeneously where they work collaboratively as resource providers. Our mechanism suggest for “Mobile to Hub to Cloud” model which can tackles the network disparity problem. A scenario gives the perfect example for the need of such model, mobile users in areas with infrastructure where the costs of accessing the network is too high, such as traveler who doesn’t wished to pay high roaming charges. Thus the suggested model can evaluate the following options: storing data in mobile hubs and improving the message delivery performance. So as in our example, traveler now can push the data onto the mobile buffers or hubs which in turn will send it to the cloud server.

Analysis and Issues in Cloud Operating System

Debasree Basu,Indusai G,J.Vijayashree,J.Jayashree,Ronnie D. Caytiles,N.Ch.S.N Iyengar 보안공학연구지원센터 2016 International Journal of Grid and Distributed Comp Vol.9 No.11

The conventional operating system usually works on a particular workstation but the same when implemented on a distributed environment like cloud faces many problems. This paper analyzes and explains how does the cloud operating system works in order to resolve these problems. It also differentiates the working mechanism of both based on basic storage management service provided by the cloud. At the end it provides the issues and the future challenges faced in the cloud operating system.