2023 International Conference on Communication System, Computing and IT Applications (CSCITA)最新文献

{"title":"Energy Efficient Node Re-positioning Algorithm for Uniform node Distribution in Wireless Sensor Networks","authors":"Aarti Jain","doi":"10.1109/CSCITA55725.2023.10104821","DOIUrl":"https://doi.org/10.1109/CSCITA55725.2023.10104821","url":null,"abstract":"Modelling of wireless sensor networks (WSNs) can be addressed from various aspects, such as energy efficiency, scalability, fault tolerance and network lifetime. Most of the algorithms proposed in literature which address these aspects assume uniform distribution of nodes in the area under consideration (AUC). However, in real life random deployment of nodes is done in the presence of geographical constraints posed by these networks along with limitations of cost & time. In order to ascertain efficient utilization of the proposed algorithms in literature, a method which repositions the nodes to obtain uniform distribution in the given AUC is required. The present work proposes energy efficient molecule equilibrium (EEME) based decentralized algorithm to reposition the sensor nodes (SNs) uniformly which are randomly distributed at the time of network initialization. In the proposed method, the SNs are assumed to be mobile and are proposed to move cautiously so as to minimize the energy consumption incurred due to repositioning of nodes. The performance of algorithm after its simulation has been compared with state-of the-art node repositioning algorithms for WSNs. The results show that the proposed repositioning algorithm outperforms the compared methods in terms of energy consumption, uniformity, coverage and average distance covered by nodes.","PeriodicalId":224479,"journal":{"name":"2023 International Conference on Communication System, Computing and IT Applications (CSCITA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117197991","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":"Deep Learning Based Marathi Sentence Recognition using Devnagari Character Identification","authors":"Rupal S. Patil, Bhairav Narkhede, Stuti Gaonkar, Tirth Dave","doi":"10.1109/CSCITA55725.2023.10104985","DOIUrl":"https://doi.org/10.1109/CSCITA55725.2023.10104985","url":null,"abstract":"There are multiple algorithms available to recognize Marathi Devnagari characters. Most of these methods are limited because of the large variety of character variations due to Kana, Matra, Ukar, Velanti, and Anusvar, which are specific to the Marathi grammar called Barakhadi. There is a need to have a dictionary-based word formulation to achieve full Marathi sentence recognition. In the proposed work, a Marathi sentence is recognized using a combination of full 454 variation detection of Devnagari characters and nearest dictionary word mapping using the k-nearest neighbour (KNN) model to achieve full sentence recognition. This is the first time full 454 (Vyanjan variation as per Barakhadi) character recognition instead of the traditional 58 characters (Vyanjans) has been attempted which leads to sentence recognition. The proposed method could achieve a sentence recognition accuracy of 86.84%, a 454 character classification accuracy was 89.52%, and the execution speed of the proposed system was 1.464 secs per word. For the training of the character recognition network, a separate dataset was created for all Vyanjan variations as per Barakhadi. This novel contribution of the proposed system will surely inspire researchers to explore Devnagari sentence recognition.","PeriodicalId":224479,"journal":{"name":"2023 International Conference on Communication System, Computing and IT Applications (CSCITA)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132654546","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":"Advanced Irrigation and Cultivation System Based on Machine Learning in IOT Environment","authors":"A. Chaugule, Poonam Gupta","doi":"10.1109/CSCITA55725.2023.10104638","DOIUrl":"https://doi.org/10.1109/CSCITA55725.2023.10104638","url":null,"abstract":"The Internet of things is a contemporary technology that acknowledges the amount of data amassed over time by multiple sensors, with a variety of uses. The IoT techniques drive results in high volume, real-time data streams that are grounded on an application’s features. Agriculture and irrigation are the most fundamental industries in the modern world. As the developments in machine learning (ML) and the internet of things, researchers have been able to implement this automation in agriculture to the advantage of farmers (IoT). Machine Learning helps farmers to maximize output by addressing mineral deficiencies, managing pests, enhancing crop yields, measuring humidity, temperature, soil moisture, water levels and fostering more sustainable agricultural practices.","PeriodicalId":224479,"journal":{"name":"2023 International Conference on Communication System, Computing and IT Applications (CSCITA)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123695500","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":"CSCITA 2023 Reviewers","authors":"","doi":"10.1109/cscita55725.2023.10104729","DOIUrl":"https://doi.org/10.1109/cscita55725.2023.10104729","url":null,"abstract":"","PeriodicalId":224479,"journal":{"name":"2023 International Conference on Communication System, Computing and IT Applications (CSCITA)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126064794","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":"Recognition of Emotions Based on Facial Expressions Using Bidirectional Long-Short-Term Memory and Machine Learning Techniques","authors":"S. B. Dhekale, D. K. Shedge","doi":"10.1109/CSCITA55725.2023.10105040","DOIUrl":"https://doi.org/10.1109/CSCITA55725.2023.10105040","url":null,"abstract":"The most effective form of non-verbal communication that a person can use is found in their facial expressions. It is possible to gain insight into a person’s feelings by seeing the expressions on their face. This can also reveal information about the person’s level of discomfort, attentiveness, personality, social interaction, and physiological indications. The fact that facial expressions can be rather complicated and extremely varied depending on the individual being viewed presents a number of challenges for automatic facial expression analysis. In the work that has been proposed, some of the challenges that have been tackled include the extraction of facial features, the mapping of those features to highly discriminative spaces, the synthesis of emotions, the handling of multiple facial feature descriptors, and the detection of the intensity of Action Units. This is done with the intention of utilizing face components as opposed to holistic facial characteristics when conducting facial expression research. The approaches used to extract features need the extraction of face feature deformations from their normal states. These face feature deformations can be generated by a wide variety of mental states. The categorization of emotional qualities requires the utilization of both long-term and short-term memory in a bidirectional fashion (bi-LSTM). The approaches that are detailed in the work that is being presented have been applied to a standard database for the purpose of emotion recognition, pain intensity estimation, and facial action unit intensity detection so that the robustness of these methods may be demonstrated. The findings of the experiments show that the research work that was planned will be efficient as well as reliable.","PeriodicalId":224479,"journal":{"name":"2023 International Conference on Communication System, Computing and IT Applications (CSCITA)","volume":"178 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116434189","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":"BeRedy (Period Tracker & PCOS Diagnosis)","authors":"Ankita Karia, Anushree Poojary, Ashita Tiwari, Lian Sequeira, Manjot Kaur Sokhi","doi":"10.1109/CSCITA55725.2023.10104755","DOIUrl":"https://doi.org/10.1109/CSCITA55725.2023.10104755","url":null,"abstract":"Abstract - We’re on a mission to help all menstruating individuals understand their menstrual cycle and make it less of a taboo topic. Menstruating individuals often face a range of challenges related to their menstrual cycle, including difficulty keeping track of their cycles, finding appropriate sanitary products, and managing symptoms such as cramps. In addition, many individuals may feel anxious, stressed, or confused about menstruation, and may not have access to accurate information or resources to help them manage their menstrual health. BeRedy is a one-stop solution to all your menstrual problems. We plan to develop a system that solves the many issues that menstruating individuals have, through our easy-to-operate system. We believe that menstrual health is a fundamental human need. That’s why we have created our system “BeRedy” so that one can identify the problems in their period cycle and check whether the symptoms are of PCOD/PCOS, if one is diagnosed with the disease our system will suggest various exercises and changes in their diet plan that they can make which will help to overcome it. Our system also recommends support groups that will help people get through the mental distress that they might go through because of PCOS/ PCOD. With this system, menstruating individuals can track their period cycle and take precautionary measures like carrying sanitary napkins, and medications according to their needs, our system also gets insightful articles, and helpful tips on how to be healthy and happy with your periods with the help of our blogs, users can also share their period-experiences like their firstperiod experience or any other experience they have with others anonymously and read others’ experiences. Another useful feature of our system is the ability to purchase menstrual products from trustworthy websites. This ensures that users are able to access high-quality products that are safe and effective. Our system also includes a chatbot that can answer common questions about menstruation and provide users with personalized advice and support - all for free! We offer a suite of tools that are all free to use, with no ads or in-app purchases.","PeriodicalId":224479,"journal":{"name":"2023 International Conference on Communication System, Computing and IT Applications (CSCITA)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116471422","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":"CSCITA 2023 Committees","authors":"","doi":"10.1109/cscita55725.2023.10104972","DOIUrl":"https://doi.org/10.1109/cscita55725.2023.10104972","url":null,"abstract":"","PeriodicalId":224479,"journal":{"name":"2023 International Conference on Communication System, Computing and IT Applications (CSCITA)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124520474","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":"Efficient Video Anomaly Detection using Residual Variational Autoencoder","authors":"Amit Kumar, Manju Khari","doi":"10.1109/CSCITA55725.2023.10104785","DOIUrl":"https://doi.org/10.1109/CSCITA55725.2023.10104785","url":null,"abstract":"Video anomaly detection is a critical task in various fields such as surveillance, security, and transportation, and has been gaining significant attention in recent years.Manually monitoring such anomalies can be time-consuming and monotonous in result. Detecting anomalies in videos is difficult because of erratic nature of the event. Motivated by these issues we purpose a promising approach for video anomaly detection by using Residual Variational Autoencoder(RVAE) model which is able to detect anomalies in an unsupervised manner.RVAE can capture more complex patterns in the data and improve the reconstruction error of the model, In this model, the encoder takes the input and provides a low-dimensional latent representation of it, and the decoder learns to reconstruct the original input with minimum loss. ConvLSTM layer is used to make better Spatio-temporal learning and residual connection to reduce the vanishing gradient problem. This model is implemented on three benchmark datasets ucds pedl, ped2, and Avenue datasets given the result shows good potential and it could be a step forward to improve the performance","PeriodicalId":224479,"journal":{"name":"2023 International Conference on Communication System, Computing and IT Applications (CSCITA)","volume":"31 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127584260","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":"Shared Rainwater Harvesting System Using Google Map API And Edge Detection","authors":"Briana Rajan, Kallis Nadar, Tushar Tripathi, Kalpita Wagaskar","doi":"10.1109/CSCITA55725.2023.10104862","DOIUrl":"https://doi.org/10.1109/CSCITA55725.2023.10104862","url":null,"abstract":"In this paper, we propose a GIS-based solution for rainwater harvesting in Metropolitan cities. Currently, the rainwater harvesting systems which have been developed are either for a large region that is not developed at all or a region with a scarcity of water. Our paper focuses on developing a system for areas where the deconstruction of existing buildings is not recommended or appreciated. In most metropolitan regions, another major concern for the implementation of rainwater harvesting tanks is the restriction of space. Our suggested system expresses a shared tank concept, where multiple neighboring buildings could share one water storage tank. This would reduce both-the space and expense related to the construction. An estimation of the cost and volume of the tank that needs to be built would given provided by the system.","PeriodicalId":224479,"journal":{"name":"2023 International Conference on Communication System, Computing and IT Applications (CSCITA)","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121575952","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 Solar Powered Phase Shifted Full Bridge Converter for EV Charger","authors":"Saakshi Gawande, S. Thale","doi":"10.1109/CSCITA55725.2023.10104932","DOIUrl":"https://doi.org/10.1109/CSCITA55725.2023.10104932","url":null,"abstract":"The increasing popularity of two and three-wheel Electric Vehicles (EVs) calls for the development of dependable and clean technology based charging stations. Most of the charging stations are fed from grid supply. However, true potential of EVs can be realized only through renewable energy based chargers providing the all-inclusive green solution. This paper explores the use of a Solar-powered Phase-shifted Full Bridge (PSFB) converter with Zero Voltage Switching (ZVS) control, using a DSP TMS320F28379D for DC EV charger.","PeriodicalId":224479,"journal":{"name":"2023 International Conference on Communication System, Computing and IT Applications (CSCITA)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122583324","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}