ISMAC-CVB 2020: Proceedings最新文献

{"title":"Domestic Fertigation Management System for Improved Aquaponics","authors":"Gokul Anand K.R, Sharmila A, K. S, Dhivya Priya E L","doi":"10.2139/ssrn.3736540","DOIUrl":"https://doi.org/10.2139/ssrn.3736540","url":null,"abstract":"Agriculture is designated as a backbone of Indian economy. In defiance of its noteworthiness, there is a large exception in accomplishing it as livelihood due to its investment inadequacy. Agriculture currently visage plenty of hindrance including insubstantial machineries deployed in farm, insufficiency in integrity of machineries, unconventional cyclones, inadequate manures, deficit of labour force, indecorous yield. Nurturing nutrients to the farm becomes crucial in agriculture. Smart farming benefits out from sensors like temperature sensors, moisture sensors, and macroclimate prediction hinged on investigating system, inaccessible areas accessed over satellite communication, RFID exploration system, drones inclusive of sensors and camcorder for profitable farming. Using the aforementioned technologies, the farming can be transformed onto a competent endurable farming. The tolerance in agriculture is solely measured by the requirement of consistent provision of conventional amenities including nutrimental manures, water, humidity, daylight, and nitrified soil. To attain superior farming benefits, the farm’s requirements need to be monitored and provided with the sufficient inputs instantly. In dissection beyond ancestral farming techniques, the proposed system of aquaponics model is the legitimate scheme in harvesting the needy floras. This system draws down minimum quantity of water estimated to be less than 15 percent. In inclusion of the system for our cultivation process, it gives us a provision on furnishing affordable grow bed system with natural compositions like alluvial soil bead, live coal, and gravel coat. The planting environment is centered on nutrition preservation fraction in the grow bed in reference to the tier of vegetables raised. In order to do so, a well flourishing nutrition rich fertigation system is required. The system proposes fertigation assisted with grow-bed for the cultivation of tomato. The fertigation process is taken care by the fish tank. Here, ornamental fishes are included for the experiment and the pH value is measured periodically for maintaining a good fertigation system. The system is provided with ultrasonic sensor and moisture sensor to predict the growth of plants. The excess water provided is drawn down to fish tank to culminate fishes. The water in fish tank is taken back to irrigate plants after predicting the PH values of water from fish tank. The gadget is IoT empowered and the system ensures a justifiable proficiency.","PeriodicalId":345282,"journal":{"name":"ISMAC-CVB 2020: Proceedings","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123109595","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 Development of Wearable Remote Temperature Monitoring Device for Smart Tracking of COVID-19 Fever","authors":"Md Safwan Mondal, Kamalesh Roy, S. Sarkar","doi":"10.2139/ssrn.3735919","DOIUrl":"https://doi.org/10.2139/ssrn.3735919","url":null,"abstract":"Covid19 has emerged out as a pandemic spreading over a total of 235 countries affecting millions of lives has put global healthcare scenarios in front of multiple new challenges. Due to its highly contagious nature scientists have to counteract with new noncontact distant monitoring techniques in clinical infrastructure using modern web and server-based communications. It is quite possible to monitor and track an individual’s health with the help of the Internet of Things (IoT). A practical approach of the design is proposed and developed for a remote temperature monitoring device which is experimentally proven to perform with 98% accuracy. A buzzer is integrated with the device for alarming when the temperature level crosses a set threshold temperature (100.4 °F). Due to the small integrated design, it is comfortably wearable for individuals and can be implemented in our daily lives amid the current covid19 pandemic.","PeriodicalId":345282,"journal":{"name":"ISMAC-CVB 2020: Proceedings","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125678609","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":"Development of System for Telemedicine","authors":"P. Sahoo, Santhoshi Gunda","doi":"10.2139/ssrn.3734800","DOIUrl":"https://doi.org/10.2139/ssrn.3734800","url":null,"abstract":"Human health and wellbeing is the need of the hour in the 21st century for current and future mankind. Due to the entry of the various new diseases like bacterial infections, viruses, and irrespective of seasons of witnessing about the pandemics are affecting the healthy lifestyle. Many diseases are evolving due to human lifestyle changes and by damage caused to the ecosystem resulting from diseases creating a pandemic. This causes damage to the family indirectly affects the contribution to the economy. The whole world is suffering in the provision of public healthcare and wellbeing. Lack of health infrastructure and medical professionals proportionate to the country population is one of the key issues. Conventionally a patient in case of health issues needs to take a prior appointment and go to the doctor's clinic or hospital location for getting health consultation and treatment. The current Conventional approach in our busy lifestyles is very time-consuming. A patient has to visit multiple times. This has other implications to the patient visiting clinics, hospitals were maintaining physical distancing is a challenge during these pandemic times when experiencing contagious infections, human transmission diseases are to address the above limitations there is a strong need for quicker, effective, and an organized platform between doctor and patient. This platform enables faster health consultation for the patients by effective time management. The necessity is the origin of new inventions and technologies our focus area in this paper will enable a digital platform enabling doctors and patients to a consultation on the web with a sophisticated model. The term as telemedicine is frequently used over the videoconferencing in the current theme. Although there are various platforms which have features of video conference are very specific customized according to the need of the doctor. This paper focuses on the development of a telemedicine video conferencing system that allows real-time remote monitoring of patients using the Internet and provides the doctors and consultants with the ability to discuss using both audio and video to provide the best medical care at low cost.","PeriodicalId":345282,"journal":{"name":"ISMAC-CVB 2020: Proceedings","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133966384","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":"Gui Based Performance Comparison of WBC Segmentation and Its Classification","authors":"B. G, Dr.Savier J.S","doi":"10.2139/ssrn.3734771","DOIUrl":"https://doi.org/10.2139/ssrn.3734771","url":null,"abstract":"The earlier method for diagnosing or detecting some diseases was through Manual Examination of Blood Smear Image and had a lot of human errors and tedious work. Overcome these issues modern methods like segmentation with efficient data mining techniques and classify leukocytes (WBC) based on machine learning algorithms are implemented. With the aid of the image processing technique, automatically diagnoses the diseases using the features of WBCs. For accurate diagnosing of disease, correctly classified leukocytes, and its subclass are required. Geometrical, textural, and statistical features of different images are extracted and applied in classification algorithms. Hence, multi level-based classification developed using the different classifiers like LibSVM, Naive Bayes, J48, Zero R, PART and Random Forest classifiers are considered and select the best classifier which is used to efficiently classify each category. From the performance indices, the best technique can suit for the identification of disease like Leukaemia. The proposed work in this paper demonstrated using MATLAB in GUI Environment. Classification is developed using WEKA software. The segmentation of different testing and training images have done Using 5 fold Cross Validation techniques performance indices measured and classification accuracy was compared in this paper.","PeriodicalId":345282,"journal":{"name":"ISMAC-CVB 2020: Proceedings","volume":"104 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122034365","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":"Voice Disorder Detection And Classification- A Review","authors":"R. Jegan, Jayagowri R","doi":"10.2139/ssrn.3734762","DOIUrl":"https://doi.org/10.2139/ssrn.3734762","url":null,"abstract":"The speech represents an intrinsic characteristic of human behaviour. Any disturbances in the normal speech of a human being are called speech disorder. It affects communication and social integration. Such patients will also have psychological and emotional issues as a direct result of their voice disorder. These day to day problems may cause a deterioration of the quality of life of an affected person and this results in the person trying to isolate himself from the activities of his daily life. Hence early detection of speech disorder is of utmost importance. Various conventional (invaasive) techniques for speech disorder detection were used earlier but extensive research has given rise to computer-based (non-invasive) methods of speech disorder detection. The computer-based techniques are easier to administer and are less expensive as compared to conventional methods. The important papers have been reviewed that describes the various voice disorder detection and classification algorithms from the recent years. The algorithms are divided based on the feature extraction techniques used for detection task. Various databases employed for evaluation of implemented approach are also explained. Deep learning techniques for speech pathology detection has great potential and recent studies are focussed on investigating deep learning architecture.","PeriodicalId":345282,"journal":{"name":"ISMAC-CVB 2020: Proceedings","volume":"16 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128830710","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":"Tracking Methods in Augmented Reality – Explore the Usage of Marker-Based Tracking","authors":"Ashwini K B, Preethi N. Patil, S. R","doi":"10.2139/ssrn.3734851","DOIUrl":"https://doi.org/10.2139/ssrn.3734851","url":null,"abstract":"The advancement in technology has created new challenges using different techniques. Augmented Reality (AR) is the amalgamation of a true object viewed by a user which is augmented by the virtual scene generated by a computer with additional information. In AR, the system augments with the help of a mechanism to combine virtual and real-world but the user maintains a sense of presence in real-world. It is one of the emerging technologies that has attracted researchers in the field of enhancing information for education and training, product visualization, and virtual try in the field of marketing, finding a way for tourism and many more applications to a very great extent. A lot of factors influence an effective AR experience. A discussion is carried on about the important factors like Graphical rendering, Tracking, Calibration, display that contributes to an effective AR experience depending on the AR application. This article highlights different tracking techniques that can be classified as Sensor-based and Vision-based tracking. Sensor-based tracking can additionally be divided into other tracking such as Optical, Magnetic, Acoustic, and Inertial. Vision-based tracking is further categorized into Marker-based and Markerless Tracking. The usage of the tracking technique depends on the AR application. This paper projects the advantages and disadvantages of each of these tracking techniques which are listed out. Finally, the article deals with the requirements of marker based application and its usage in detail.","PeriodicalId":345282,"journal":{"name":"ISMAC-CVB 2020: Proceedings","volume":"86 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131219413","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":"Review of Workflow Scheduling Algorithms in Cloud Computing","authors":"Riya Gohil, Hiren Patel","doi":"10.2139/ssrn.3734103","DOIUrl":"https://doi.org/10.2139/ssrn.3734103","url":null,"abstract":"Cloud computing is a parallel and distributed framework computation by the information technology resources and which are further characterized by the demand services through the Internet. The cloud providers also use a typical model such as “pay-as-you-go” to access the network services. Due to its wide popularity, a huge number of applications and organizations are on Cloud platforms. The performance of the Cloud depends on the number of applications run at a given point of time and resources available at Cloud to execute these applications. Hence, improper utilization of computational resources may result in a compromise in the overall performance of the Cloud. This issue becomes critical for real-time applications where performance in form of throughput and response time is of utmost importance. Here comes the role of scheduling algorithms that appropriately plan the task on a given resource. Proper scheduling mechanism can avoid the problem of performance as well as resource utilization. Through this research, various scheduling mechanisms being used for Cloud computing is extensively surveyed and evaluated them based on various parameters such as throughput, latency, makespan, etc for typical task execution and also discuss their benefits and challenges.","PeriodicalId":345282,"journal":{"name":"ISMAC-CVB 2020: Proceedings","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116634615","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}