{"title":"PRECISION IMPROVEMENT AND DELAY REDUCTION IN SURGICAL TELEROBOTICS","authors":"S. Manoharan, N. Ponraj","doi":"10.36548/jaicn.2019.1.004","DOIUrl":"https://doi.org/10.36548/jaicn.2019.1.004","url":null,"abstract":"The field of medicine is greatly benefited by telerobotic surgeries. It allows the surgeon to reach the patient remotely. Traditional surgical telerobotic techniques had several drawbacks mainly due to communication delay and lack of precision. Signal latency also causes significant delay in operations. This also causes the risk of increased human errors. The surgical workflow can be altered by the addition of features like self-correction and self-automation. In this paper, we reduce the delay in telerobotic surgery using supervisory control approach and apply a haptic feedback to regulate safety. Motion scaling technique is used to combat responses in delayed environment as well as to improve the accuracy of the system. Augmented reality, improved functional design, comfort and skills along with the ability to reach the patient remotely promotes the wide use of surgical telerobotics.","PeriodicalId":399652,"journal":{"name":"Journal of Artificial Intelligence and Capsule Networks","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121187058","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":"COMPARATIVE STUDY OF CAPSULE NEURAL NETWORK IN VARIOUS APPLICATIONS","authors":"Vijayakumar T Dr","doi":"10.36548/jaicn.2019.1.003","DOIUrl":"https://doi.org/10.36548/jaicn.2019.1.003","url":null,"abstract":"The advancement in the machine learning and the computer vision has caused several improvements and development in numerous of domains. Capsule neural networks are one such machine learning system that imitates the neural system and develops the structures based on the hierarchical relationships. It does the inverse operation of the computer graphic in representing an object by, segregating the object in the image into different part and viewing the in-existing relationship between the each parts to represent in order to preserve even the minute details related to the object, unlike CNN that losses major of the information’s related to the spatial location of the object that are essential in the segmentation and the detection. So the paper presents the comparative study of the capsule neural network in various application, presenting the efficiency of the capsules networks over the convolutional neural networks.","PeriodicalId":399652,"journal":{"name":"Journal of Artificial Intelligence and Capsule Networks","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127550048","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":"PEST INFESTATION IDENTIFICATION IN COCONUT TREES USING DEEP LEARNING","authors":"Abraham Chandy","doi":"10.36548/jaicn.2019.1.002","DOIUrl":"https://doi.org/10.36548/jaicn.2019.1.002","url":null,"abstract":"In this paper, we propose a precision agriculture technique to detect various pests in coconut trees with the help of NVIDIA Tegra System on Chip (SoC) along with a camera interfaced drone. The drone flies across the coconut farm and captures the images and processes the data using deep learning algorithm to identify the unhealthy and pest affected trees. The deep learning algorithm uses a set of sample pest database. The Artificial Intelligence (AI) machine learning algorithm is also capable of unsupervised learning from the images that are unstructured. The data is transferred directly to the farmer’s smart phone with the help of wi-fi. This helps in timely treatment of pest infected trees and to improve the yield of the trees.","PeriodicalId":399652,"journal":{"name":"Journal of Artificial Intelligence and Capsule Networks","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128238323","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":"IMPLEMENTATION OF ARTIFICIAL INTELLIGENCE IN IMPARTING EDUCATION AND EVALUATING STUDENT PERFORMANCE","authors":"N. M. S. K. Dr","doi":"10.36548/jaicn.2019.1.001","DOIUrl":"https://doi.org/10.36548/jaicn.2019.1.001","url":null,"abstract":"Simulation of human intelligence process is made possible with the help of artificial intelligence. The learning, reasoning and self-correction properties are made possible in computer systems. Along with AI, other technologies are combined effectively in order to create remarkable applications. We apply the changing role of AI and its techniques in new educational paradigms to create a personalised teaching-learning environment. Features like recognition, pattern matching, decision making, reasoning, problem solving and so on are applied along with knowledge based system and supervised machine learning for a complete learning and assessment process.","PeriodicalId":399652,"journal":{"name":"Journal of Artificial Intelligence and Capsule Networks","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121895723","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":"March 2021","authors":"","doi":"10.36548/jaicn.2021.1","DOIUrl":"https://doi.org/10.36548/jaicn.2021.1","url":null,"abstract":"","PeriodicalId":399652,"journal":{"name":"Journal of Artificial Intelligence and Capsule Networks","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124684203","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}