{"title":"A Non-invasive Diagnosis of Early Stage Diseases through human nail using Neural Networks","authors":"A. V. Venkataranganathan, R. Hariharan, M. Roopa","doi":"10.36548/jaicn.2022.1.006","DOIUrl":"https://doi.org/10.36548/jaicn.2022.1.006","url":null,"abstract":"The human hand nail is analysed to detect numerous disorders at an early stage. In the healthcare area, the investigation of a person's hand nail colour assists in illness diagnosis. In such a setting, the proposed system assists in the prognosis of disease, where the system’s input is a photograph of a human nail. The human nail possesses a variety of characteristics, and the proposed system discerns the characteristic of nail colour variations for the identification of disease. The initial training set is constructed using the open cv tool, using photos of people with certain conditions. To obtain the result, the feature extracted from the acquired image of nail is computed with the training dataset. Using the colour feature of nail images, it is discovered that on average, 65 percent of results appropriately match to the training set data.","PeriodicalId":10940,"journal":{"name":"Day 2 Tue, March 22, 2022","volume":"10 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82156431","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Automatic Detection and Classification of Human Emotion in Real-Time Scenario","authors":"Ashish Keshri, Ayush Singh, Baibhav Kumar, Devenrdra Pratap, Ankit Chauhan","doi":"10.36548/jismac.2022.1.005","DOIUrl":"https://doi.org/10.36548/jismac.2022.1.005","url":null,"abstract":"This work proposes the implementation of the idea of real-time human emotion recognition through digital image processing techniques using CNN. This work presents significant literacy calculations used in facial protestation for exact distinctive verification and acknowledgment that can effectively and capably see sentiments from the vibes of the client. The proposed model gives six probability values based on six different expressions. Large datasets are explored and investigated for training facial emotion recognition model. In support of this work, CNN using Deep learning model, OpenCV, Tensorflow, Keras, Pandas, and Numpy is used for digital computer vision procedures involved, and an lite experiment is conducted for various men and women of different age, race, and colour to descry their feelings and variations for different faces are found. This work is improved in 3 targets as face location, acknowledgment and feeling arrangement. Open CV library, and facial expression images dataset are used in this proposed work. Also python writing computer programs is utilized for computer vision (using webcam) procedures. To demonstrate ongoing adequacy, an investigation is directed for a very long time to distinguish their internal feelings and track down physiological changes for each face. The consequences of the examinations exhibit the idealizations in face investigation framework. At long last, the exhibition of programmed face detection and recognition are measured with very high accuracy and in real-time. This method can be implemented and is widely useful in various domains such as security, schools, colleges and universities, military, airlines, banking etc.","PeriodicalId":10940,"journal":{"name":"Day 2 Tue, March 22, 2022","volume":"10 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81242752","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Improving Healthcare Delivery System using Business Intelligence","authors":"Prathviraj Singh Rathore, B. Sharma","doi":"10.36548/jismac.2022.1.002","DOIUrl":"https://doi.org/10.36548/jismac.2022.1.002","url":null,"abstract":"Healthcare organizations focus more on data and information for the wellbeing of the patients. They also look forward to improving the business process, business trends, and operational performance using Business Intelligence tools. Business Intelligence tools are used in collecting data, storing data, examining data, and formatting records in an easy way. Business Intelligence can give new business insights and analysis-based predictions. These new business insights help managers and supervisors in decision-making. Now many healthcare organizations are using Business Intelligence to improve the quality of healthcare services and the healthcare delivery system over the competitiveness in the global healthcare scenario. This paper proposes a reasonable structure of healthcare organizations and the result analysis of OPD and IPD patients in the eight healthcare organizations.","PeriodicalId":10940,"journal":{"name":"Day 2 Tue, March 22, 2022","volume":"111 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79283560","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Muskan Singh, Shubham Shukla, V. Pandey, Vaibhav Singh, S. Patil, Vaishali Singh
{"title":"Analysis of Hexagonal Shape Slot Loaded Antenna for the usage of ISM band","authors":"Muskan Singh, Shubham Shukla, V. Pandey, Vaibhav Singh, S. Patil, Vaishali Singh","doi":"10.36548/jucct.2022.1.006","DOIUrl":"https://doi.org/10.36548/jucct.2022.1.006","url":null,"abstract":"This work proposes a compact, wideband, hexagonal-shape slot antenna with a feeding type of CPW, covering the ISM frequency band range for the bio-medical application. The proposed antenna size is 10x10x0.4 mm composed of hexagonal ring slots in a plane and using substrate material like Kapton Polyimide. Simulation is processed to attain the biocompatibility and antenna characteristics such as return loss, radiation pattern, gain, etc. Graphical-based simulated results of antenna parameters are obtained using the High-Frequency Simulation Software that covers the \"Industrial Scientific and Medical\" band range.","PeriodicalId":10940,"journal":{"name":"Day 2 Tue, March 22, 2022","volume":"17 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73513248","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Reshma P. Vengaloor, Ashrith Sriram Raju, A. Ajay, S. Dhanush, D. Jessica Sandhiya
{"title":"AQUA ROVER","authors":"Reshma P. Vengaloor, Ashrith Sriram Raju, A. Ajay, S. Dhanush, D. Jessica Sandhiya","doi":"10.36548/jei.2022.1.006","DOIUrl":"https://doi.org/10.36548/jei.2022.1.006","url":null,"abstract":"Water has been stated as one of the fundamental elements for the existence of life on Earth, and is being contaminated as a sign of human development and negligence towards the ecosystem. In spite of many waste disposal methodologies that have been proposed and brought into practice, the pollution rate is not differentiable. Around 80% of the Indian local body water sources have been reported as tainted due to waste dumping. Every year, around 1.5 million Indian children die from diarrhea. While looking at the water pollutants, plastic has a significant contribution towards this. They pile up, creating a layer on the water surface resisting the light to enter the water; also, the chemicals used in coating the plastic objects turn out to be life threatening for the aquatic lives as well as human lives. A considerable population use these local water body sources for drinking purposes and it adds up to the responsibility for us to keep them hygienic and safe. Many methods for abreaction have been initiated by the Government and other resources. This paper proposes an efficient, cost-effective, simple and habitat-friendly \"AQUA ROVER\" (prototype) which is a dedicated device to this concern.","PeriodicalId":10940,"journal":{"name":"Day 2 Tue, March 22, 2022","volume":"34 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82482123","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Split-Capacitor Five-Level Transformerless Grid Connected Single Phase PV System using Level Shifted PWM Technique","authors":"P. Manikandan, P. Maruthupandi","doi":"10.36548/jucct.2022.1.005","DOIUrl":"https://doi.org/10.36548/jucct.2022.1.005","url":null,"abstract":"This paper proposes Level shifted Pulse Width Modulation (PWM) methods for single phase transformerless Multi Level Inverter (MLI). Many of the existing topologies have high variations in Common Mode Voltage (CMV) and high leakage current. The proposed topology with level shifted PWM technique for five level single phase MLI, reduces the variations in CMV, minimizes the leakage current according to VDE0126-1-1 standard and the reduced number of switches makes the losses less than the conventional topologies. This topology reduces the current THD. Finally, simulations are carried in MATLAB/Simulink for different inverter topologies.","PeriodicalId":10940,"journal":{"name":"Day 2 Tue, March 22, 2022","volume":"69 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90395627","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Robust Control of D-STATCOM for Voltage Stability","authors":"A. Midhuna, K. Baskaran","doi":"10.36548/jismac.2022.1.001","DOIUrl":"https://doi.org/10.36548/jismac.2022.1.001","url":null,"abstract":"Power Quality enhancement is a major topic among researchers as the usage of non-linear loads has increased vastly. The purpose of this work is to maintain constant DC link voltage in hybrid energy system which contains Doubly Fed Induction Generator (DFIG) based Wind Energy Conversion System (WECS) and Photovoltaic (PV) system. Among the various available Flexible AC Transmission System (FACTS) devices, Distribution Static Compensator (D-STATCOM) provides better voltage stability with Voltage Source Converter (VSC). LUO converter is used, as it has excellent voltage-gain ratio. The utilization of Adaptive Neuro-Fuzzy Inference System (ANFIS) as Maximum Power Point Tracking (MPPT) assures controlled output and supports the extraction of complete power from the PV panel. This work evaluates the performance of the proposed inverter through MATLAB simulation.","PeriodicalId":10940,"journal":{"name":"Day 2 Tue, March 22, 2022","volume":"28 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79667336","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Performance Analysis of Isolated Bridgeless SEPIC Converter for EV Battery Charging","authors":"K. Vinothini, P. Maruthupandi","doi":"10.36548/jucct.2022.1.004","DOIUrl":"https://doi.org/10.36548/jucct.2022.1.004","url":null,"abstract":"The conventional Electric Vehicle(EV) battery charging systems with power factor correction circuits have limitations due to conduction losses present in the input side bridge rectifiers. This paper presents a Bridgeless Isolated Single-Ended Primary Inductance Converter (SEPIC) with improved power factor and reduced THD to increase performance. Throughout the charging time of the Electrical Vehicle, the input side maintains a near-unity power factor. Because the DBR is eliminated, the current is conducted through a smaller number of devices, resulting in considerable reductions in conduction losses. This optimizes the charging system's efficiency in alternative to the existing BL SEPIC converter. A constant current/constant voltage controlling mode is used to charge the EV battery, which delivers good results in terms of intrinsic PFC and decreased THD, hence increasing the charging performance of this system.","PeriodicalId":10940,"journal":{"name":"Day 2 Tue, March 22, 2022","volume":"40 10 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81899156","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Design and Analysis of an Extruder for Bio-Composite Filament Fabrication","authors":"R. Vinodhkumar, T. Sekar, N. Nandakumar","doi":"10.36548/jei.2022.1.005","DOIUrl":"https://doi.org/10.36548/jei.2022.1.005","url":null,"abstract":"Fused Deposition Modelling (FDM) or Fused Filament Fabrication (FFF) is an additive manufacturing technique in which layers of materials are fused together in a pattern to form an item. Acrylonitrile Butadiene Styrene (ABS), Poly Lactic Acid (PLA), Poly Ethylene Terephthalate (PET), Poly Vinyl Alcohol (PVA), Sandstone, and other materials are utilised in this FDM 3D printer. However, the rapid changes of Global needs and advances in Engineering domain, are in need of the combination of new materials to cater to fulfil the society and technical demands. Therefore, this work attempts to develop a new bio-composite filament for making components, which are associated with medical application. The commercially available extruders are not so cost effective and custom based for the biomaterials chosen for this work. \u0000The selected materials for making the bio-composite are Poly Lactic Acid (PLA), Ultra High Molecular Weight Poly Ethylene (UHMWPE) along with Cissus quadrangularis (Adamant creeper) powder. So, it is essential to design and develop an extruder indigenously to make the Bio-composite filament. For this first phase, the basic components of the customized designed extruder are modelled using Solidworks 2018 and assembled. Subsequently the usage viability analysis is done by using ANSYS 18.1 at Manufacturing Engineering CAD laboratory. The thermal and dynamic analysis are successfully carried out. The results reveal that the heat sink of extruder could withstand up to 〖300〗^0 C and the heat transfer rates are reported.","PeriodicalId":10940,"journal":{"name":"Day 2 Tue, March 22, 2022","volume":"62 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78414349","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
M. Monisha, K. M. Harshitha, N. H. Dhanalakshmi, Kokatam Sai Prakash Reddy, C. Nagarathna, M. Kusuma
{"title":"Early detection of Alzheimer’s: Modalities and Methods","authors":"M. Monisha, K. M. Harshitha, N. H. Dhanalakshmi, Kokatam Sai Prakash Reddy, C. Nagarathna, M. Kusuma","doi":"10.36548/jaicn.2022.1.005","DOIUrl":"https://doi.org/10.36548/jaicn.2022.1.005","url":null,"abstract":"Alzheimer’s disease belongs to the group of neurodegenerative diseases and is considered as one of the most destructive and severe diseases of the human nervous system. There is presently no quick and cost-effective method for routinely screening individuals of age 65 and older for Alzheimer's disease, the most prevalent type of neurodegenerative dementia. Over 5.2 million Americans already suffer from this condition, with the number anticipated to rise to 7.7 million by 2030. This paper discusses how the use of Machine learning concepts has upgraded the detection of Alzheimer's disease in the early stage.","PeriodicalId":10940,"journal":{"name":"Day 2 Tue, March 22, 2022","volume":"12 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85871832","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}