Internet of Medical Things (IoMT) is the collection medical devices and related applications which link healthcare IT systems through online computer networks. In field diagnosis, image classification plays an important role in prediction early diagnosis critical diseases. images form indispensable part a patient's health record can be applied to control, handle treat But, challenging task computer-based diagnostics. this research article, we have introduced improved classifier i.e., Optimal...

Any device, equipment or courseware that assists people to work around the limitations caused by their disabilities comes under category of Assistive Technology. People with certain sort using these Technologies can compensate a boundary due disability. Certain types assistive technologies help achieve life goals and hence allowing them be operative in specific fields. Several Technology devices have helped acquiring dream jobs reducing external support needed for earning livelihood. In this...

Data Compression includes enhancing a flood of images and dynamically rearranging codes. The consequent arrangement compressed codes will be greater simpler than the initial set images. choice is to produce clear-cut code for definite image or group proposed algorithm close an assortment data rules that are consumed shared with input numeric value Figure out which repeated code(s) can sustained. current Huffman coding upholds double picture neglects give sensible pressure proportion genuine...

In recent years, the accidents on road have been increasing exponentially yearly basis because of heavy traffic which has increased great concerns across world. The enormous growing drift motorization and improvisation social economic position people influenced annoying safety scenarios with wounded eternally disabled injuries. This paper an extensive in-depth study through its causes due to reasons like weather Conditions, Age, Lighting, Vehicle Road conditions etc. Data mining algorithms...

Human adaptive mechatronics [HAM] is an intelligent form of man machine interface system. HAM system adapts itself to user ability carry out their routine task under constrained environments and also improves the functional motor skill. It assists elderly person suffering from gait disorder achieve enhanced in doing daily by own. The assisting or disabled will adapt phase consume low metabolic energy. With short fall availability nursing assistant near future systems becomes ineluctable....

Gait disorders due to ageing, injury are typically disabling and negatively moving a patient depend upon the nursing assistant. Thereby, affecting patient's quality of life attainment arm movement is taken into account as foremost objectives rehabilitation therapy. To overcome issues associated with standard physical medical care, in this decade adaptive mechatronics devices based therapy has demonstrated vital role raising gait disorder walk without any human assistance. The training can be...

Osteoporosis is a life threatening disease which commonly affects women mostly after their menopause. It primarily causes mild bone fractures, on advanced stage leads to the death of an individual. The diagnosis osteoporosis done based mineral density (BMD) values obtained through various clinical methods experimented from skeletal regions. main objective authors' work develop hybrid classifier model that discriminates osteoporotic patient healthy person, BMD values. In this Letter, authors...

Abstract Watermarking scheme is not helpful in conveying the original image continually so as identifying owner's mark from watermarked image. In current situation, our chosen topic significant real‐time applications like fraud recognition, emergency clinic, and government divisions. this study, an optimal multiblind watermarking model proposed for watermark detection process. Our a combination of intelligent domain transforms Discrete Shearlet Transform Curvelet (DCurT). The...

IoT has gained a massive prevalence in the last decade. Various businesses are leveraging Applications for industrial and commercial use cases. also presents cases research academia. However, setting up Systems is complex due to distributed multi-disciplinary nature of Systems. As direct consequence this complexity, entire service industry emerged that assists users deploy manage systems. This paper aims survey some Cloud management systems help simplify shorten deployment process

A high gain SEPIC converter for PV applications, as well a Grey Wolf Optimized PI controller are used in this modules. As there frequent variations climatic conditions, solar irradiation is not constant every time. Hence boosting the output of system, it employs DC-DC used. GWO optimized based on closed loop approach to maintain DC link voltages at converter's output. The improved system efficiency achieved with application and further, voltage reached load. With defined work, gains...

Although the existing manual waste segregator method is simple, it not effective in terms of accurate classification. This necessitates need to automate process classification order maintain a clean environment. The proposed model an efficient system suitable for satisfying emerging societal and environmental requirements. utilizes supervised machine learning algorithms classify into different categories such as cardboard, glass, metal, garbage, paper plastic. Initially, data collected...

Cloud Computing is an emergent area in the field of Information Technology having Internet as its base and provides various services utility follows pay-as you-go model. Load balancing a critical issue cloud computing which technique that uses multiple nodes distributes dynamic workload among them so no single node overloaded ensures none system collapse victim overloading. includes optimal utilization resources increases performance thereby minimization load competent resources. This paper...

Scheduling is a vital issue in cloud computing order to facilitate optimized usage of resources. Genetic algorithms are used optimization techniques as they class heuristic approaches that have their inspirations from evolutionary ideas natural evolution. The scheduling problem modelled population candidate solutions and the genetic algorithm applied for benefitting fittest candidates. This paper presents broad overview on formalization works contributed by variants Algorithm field which can...

Genetic algorithm techniques are used in optimization for grid computing as they get their inspirations from evolutionary idea of natural evolution. Moreover genetic operators can be tailored the problem at hand by exploiting procedures that have been fully applied to problems resisted solutions common and thereby making them beneficial. The scheduling is modeled a population candidate getting fittest candidates. This paper presents broad overview on formalization works contributed field scheduling.

Based on several pre-defined standard symptoms, a model that can determine the coronavirus illness as positive is developed. Guidelines for these symptoms have been issued by World Health Organization (WHO) and India's Ministry of Family Welfare. In this various illnesses given to system. It allows users discuss their with algorithm predicting condition based factual information. This information then evaluated using ARM Apriori get most accurate results. Other conventional models such...

Though tremendous work has been done in the field of grid computing, due to two challenging aspects (i.e. load balancing and scheduling) it is hindered from being beneficial large-scale distributed parallel applications. This paper provides a survey various techniques address challenges computing. We classify surveyed approaches based on their objective functions into categories: Application Centric, Resource Centric.

Task scheduling is a critical issue in achieving high performance grid computing. Bacterial foraging optimization an algorithm that has its thrust on the group behaviour of Escherichia coli (E-Coli) present human intestine and been used to solve problems applied task scheduling. BFO hybridized with different algorithms order examine local global search properties separately multi processing environment. This paper presents broad overview formalization works carried out by variants.

Web attacks such as spamming, phishing, and malware are common on the Internet. When an unsuspecting user hits URL, becomes a victim of assaults, which have significant consequences for commercial, finance, social networking sites. Lexical features, host-based content-based DNS popularity other discriminative features used to generate decent feature representation URL. URL dataset is collected from ISCX-URL. The goal this research create multi-class classification model that can categorise...

Inverse Synthetic Aperture Radar (ISAR) is used to image sea surface targets during day/night and all-weather capabilities for applications such as coastal surveillance, ship self-defense, suppression of drug trafficking etc. Hence automating classification ships by means machine learning methods has become more significant. Typical approaches consist pre-processing, feature extraction processing classifiers. Image techniques are applied pre-processing ISAR images. Transformation invariant...

This study proposes an intelligent reliable schedule with budget constraints in grid computing to reduce the makespan environment. A good improves usability of environment, but often faces challenge reliability and budget. In our paper we have addressed environment by augmenting intelligence means exploitation random pushing job stealing. The objective this is tasks onto processor based on user requirement also provide opportunity which don’t high budgets. experimental outcomes supported...