https://technology.eurekajournals.com/index.php/IJRIICE/issue/feed 2019-05-22T08:51:05+00:00 Eureka Journals admin@eurekajournals.com Open Journal Systems <p style="text-align: justify;">International Journal on Recent Innovation in Instrumentation &amp; Control Engineering (IJRIICE) is an attempt of Eureka Group of Journals to bridge the gap between "Campuses and Corporate" by including both academic research activities as well as the innovation done on industries and corporate professionals. This Journal aims to flourish interdisciplinary and multidisciplinary knowledge of recent innovation in Instrumentation &amp; Control Engineering among&nbsp;professors, students across universities, industries, research and development organisations, consultancy etc. In addition to above application of fundamental concepts in fuzzy logic, modelling and simulation &amp; neural network concepts are&nbsp;also considered in this journal.</p> https://technology.eurekajournals.com/index.php/IJRIICE/article/view/425 2019-05-20T13:52:23+00:00 SAYONA DAS editor@eurekajournals.com DURJOY BANERJEE editor@eurekajournals.com SUSMITA ROY editor@eurekajournals.com SOUVIK PAL editor@eurekajournals.com SUBHABRATA BANERJEE editor@eurekajournals.com

<p>This paper explores a system comprises of many-simple internally linked processing elements working in parallel whose function is determined by network architecture, connection strengths and the calculation executed at the processing elements. This methodology was first proposed by Warren McCulloch and Walter Pitts in 1943. This research basically works on modelling parts of the human body and recognising diseases from various scans like CAT scans, ultrasonic scans, etc. This is also used to study the human cardiovascular system.</p>

https://technology.eurekajournals.com/index.php/IJRIICE/article/view/431 2019-05-22T08:51:05+00:00 PUJA DAS editor@eurekajournals.com RIYA PAUL editor@eurekajournals.com SONIA SARKAR editor@eurekajournals.com DHIMAN BAIDYA editor@eurekajournals.com DIPANJAN GHOSH editor@eurekajournals.com TARUN KUMAR DAS editor@eurekajournals.com

<p>This paper deals with different types of Fever having different causes and types, but with similar symptoms. Therefore, making fever diagnosed with human physiological symptoms are way more complicated and time consuming. So we need an accurate and easy medical diagnosis to choose the right one within some fraction of time. This research project deals with the design of a web based multi-fever diagnosis system using Fuzzy symptom classifier with human self-observed physiological symptoms. Considering malaria, chikungunya, dengue, typhoid and influenza. The paper also discusses about working characteristics and advantages of Fuzzy Logic in fever diagnosis and capable to provide diagnosis whether patient suffers from fever or not. The fuzzy-symptom classifier will be based on given membership functions. We can hope this paper can give an overall view about the diagnosis system.</p>