2023 3rd International Conference on Intelligent Technologies (CONIT)最新文献_第6页

Algorithms for Adaptive Beamforming in smart Antenna in 5G 5G智能天线自适应波束形成算法

2023 3rd International Conference on Intelligent Technologies (CONIT) Pub Date : 2023-06-23 DOI: 10.1109/CONIT59222.2023.10205664

K. Nand, Sunil Agarwal, Gurpreet Kaur

引用次数: 0

Swasthya - An EHR Built on Blockchain Swasthya——基于区块链的电子病历

2023 3rd International Conference on Intelligent Technologies (CONIT) Pub Date : 2023-06-23 DOI: 10.1109/CONIT59222.2023.10205715

Himali Patel, Mcvean Soans, P. Moorthy, Mrunal Murudkar, Saptarshi Das

{"title":"Swasthya - An EHR Built on Blockchain","authors":"Himali Patel, Mcvean Soans, P. Moorthy, Mrunal Murudkar, Saptarshi Das","doi":"10.1109/CONIT59222.2023.10205715","DOIUrl":"https://doi.org/10.1109/CONIT59222.2023.10205715","url":null,"abstract":"An Electronic Health Record System (EHR) is a systematic collection of electronically-stored health records and information of a patient and population in a digital format. It is typically shared among healthcare stakeholders. While a lot of hospitals in developing nations still lack the facilities that are required to shift to an EHR system, its adoption has been on the rise globally. The traditional EHR systems however face a lot of problems. These problems are majorly related to privacy, security, and ease of use. The records are entirely controlled by the hospitals that have created them. To overcome such a system, the use of a decentralized system to store data is required. The project proposes a system built on top of a Blockchain Network which allows hospitals and patients across the world to be connected to each other. Blockchain has been an emerging technology for a few years now. The key features of blockchain which attract most developers are its immutability (data cannot be changed), decentralization (data is not centrally stored), transparency (data is uniform whenever it is accessed), and distributed ledger (data distributed over various computing machines).","PeriodicalId":377623,"journal":{"name":"2023 3rd International Conference on Intelligent Technologies (CONIT)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128565734","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}

引用次数: 0

Implications of Resource Optimization in D2D Communication for Efficient Usage of RF Energy: Practice and Challenges D2D通信中资源优化对射频能量有效利用的影响:实践与挑战

2023 3rd International Conference on Intelligent Technologies (CONIT) Pub Date : 2023-06-23 DOI: 10.1109/CONIT59222.2023.10205729

Devasis Pradhan, Suma C, Rajeswari, Celso Barbosa Carva

引用次数: 0

Human Computer Interaction Design Practice in Poster Design 海报设计中的人机交互设计实践

2023 3rd International Conference on Intelligent Technologies (CONIT) Pub Date : 2023-06-23 DOI: 10.1109/CONIT59222.2023.10205806

Yanan Yuan, Ting Ren

{"title":"Human Computer Interaction Design Practice in Poster Design","authors":"Yanan Yuan, Ting Ren","doi":"10.1109/CONIT59222.2023.10205806","DOIUrl":"https://doi.org/10.1109/CONIT59222.2023.10205806","url":null,"abstract":"With the rapid development of modern computer technology, people pay more and more attention to the usability of human-computer interface and the improvement of user efficiency. Human computer interaction has become the most popular research field in the international computer industry. The interaction mode of \"people-oriented\" and \"natural harmony\" has become the basic concept of human-computer interaction. The purpose of interaction design is to make the information exchange between people and things more scientific, reasonable and humanized, make the information transmission between people and things more reliable, and reduce people's physiological and psychological burden. Poster design is based on human-computer interaction. Its purpose is to provide users with an interactive experience and make information easy to access. This can be achieved by making attractive posters that are visually appealing and easy to understand. Posters should also provide information to provide users with useful information needed to make better decisions or solve problems more effectively. According to its purpose and audience, poster design has different types. For example, there is a poster designed for children with bright colors, simple shapes and cartoon characters. The characteristics of this paper lie in: applying the traditional human-computer interaction theory to the embedded platform, proposing the concept of embedded human-computer interaction interface, investigating the basic design methods and evaluation principles of embedded human-computer interaction interface on the basis of prototype experiments, and proving it through a large number of rich cases and actual design and testing processes, which is constructive, inductive and practical.","PeriodicalId":377623,"journal":{"name":"2023 3rd International Conference on Intelligent Technologies (CONIT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128657703","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}

引用次数: 0

Design of Ultra Low Power, Area Efficient Ring Counter Based SAR ADC 基于超低功耗、面积高效的环形计数器的SAR ADC设计

2023 3rd International Conference on Intelligent Technologies (CONIT) Pub Date : 2023-06-23 DOI: 10.1109/CONIT59222.2023.10205732

M. Patil, Tanmay Waware, Atharva Yawalkar, Vijay V. Kumbhar, M. Andhare, Arti Tekade

{"title":"Design of Ultra Low Power, Area Efficient Ring Counter Based SAR ADC","authors":"M. Patil, Tanmay Waware, Atharva Yawalkar, Vijay V. Kumbhar, M. Andhare, Arti Tekade","doi":"10.1109/CONIT59222.2023.10205732","DOIUrl":"https://doi.org/10.1109/CONIT59222.2023.10205732","url":null,"abstract":"We have discussed about counter-based SAR ADC in this research paper. A significant component of the high-speed application of ADCs is the SARs critical path. ADCs needed for long term and battery-operated applications typically consume relatively less power. Applications requiring low power, moderate resolution, and medium speed is best suited for SAR ADC. Dynamic latch is employed in our ADC to boost performance and achieve low power consumption. We have demonstrated a 45nm CMOS-simulated, 4-bit low power SAR ADC. Utilizing an ADC design with the maximum amount of simplification, which consists of a dynamic latch comparator, in this paper we are primarily focusing on increasing the sampling frequency of the SAR ADC in order to get high conversion rate. The continuous time analogue low pass filter, which is typically used in front of the ADC to avoid aliasing, was also explored in this paper. Active-RC filters and operational transconductance-C filters are investigated and developed. Results from simulations and measurements are offered to illustrate the performance and functionality.","PeriodicalId":377623,"journal":{"name":"2023 3rd International Conference on Intelligent Technologies (CONIT)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127183029","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}

引用次数: 0

Messages 消息

2023 3rd International Conference on Intelligent Technologies (CONIT) Pub Date : 2023-06-23 DOI: 10.1109/conit59222.2023.10205685

引用次数: 0

Sickle Cell Classification Using Deep Learning 使用深度学习的镰状细胞分类

2023 3rd International Conference on Intelligent Technologies (CONIT) Pub Date : 2023-06-23 DOI: 10.1109/CONIT59222.2023.10205802

N. Goswami, Anushree Goswami, Niranjana Sampathila, G. M. Bairy

{"title":"Sickle Cell Classification Using Deep Learning","authors":"N. Goswami, Anushree Goswami, Niranjana Sampathila, G. M. Bairy","doi":"10.1109/CONIT59222.2023.10205802","DOIUrl":"https://doi.org/10.1109/CONIT59222.2023.10205802","url":null,"abstract":"Artificial Intelligence has been a boon to healthcare for quite a long time. While AI has the potential to assist in several domains, blood smear analysis has several challenges that need to be addressed to ensure the accuracy, interpretability, safety, and ethical use of AI in this context. Proper validation, overlapping of cells, data availability, addressing biases, interpretability, regulatory compliance, workflow integration, and ethical considerations are important aspects that must be carefully considered when using AI in blood smear analysis. One of the lesser-tackled problems through Artificial Intelligence is the classification of sickle cells. Sickle cell disease is a genetic disorder affecting the hemoglobin resulting in a reduced supply of oxygen to the entire body. Currently, there is no cure for sickle cell disease, and treatment is focused on managing symptoms and preventing complications. Manual identification and classification of sickle cells in blood smear images can be time-consuming and prone to human error. Hence, there is a need for automated methods to classify sickle cells and tackle these problems. This paper discusses a deep learning model to detect the presence of sickle cells in the blood, thereby classifying them. The model focused on here is ResNet50 giving a test accuracy of 93.88%.","PeriodicalId":377623,"journal":{"name":"2023 3rd International Conference on Intelligent Technologies (CONIT)","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127481616","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}

引用次数: 0

Deep Learning-based Analysis of Affective Computing for Marathi Corpus 基于深度学习的马拉地语料库情感计算分析

2023 3rd International Conference on Intelligent Technologies (CONIT) Pub Date : 2023-06-23 DOI: 10.1109/CONIT59222.2023.10205770

K. Bhangale, Dipali Dhake, Rupali Kawade, Triveni Dhamale, Vaishnavi Patil, Nehul Gupta, Vedangi Thakur, Tamanna Vishnoi

{"title":"Deep Learning-based Analysis of Affective Computing for Marathi Corpus","authors":"K. Bhangale, Dipali Dhake, Rupali Kawade, Triveni Dhamale, Vaishnavi Patil, Nehul Gupta, Vedangi Thakur, Tamanna Vishnoi","doi":"10.1109/CONIT59222.2023.10205770","DOIUrl":"https://doi.org/10.1109/CONIT59222.2023.10205770","url":null,"abstract":"Speech Emotion Recognition (SER) has a broad variety of potential applications, including improving human-computer interaction in virtual reality and gaming environments, improving the identification and monitoring of mental health conditions, and improving the accuracy of chatbots and speech-based assistants. It must contend with cross-corpus SER, intonation and dialectal differences, as well as prosodic shifts brought on by factors like age, gender, locality, and religion. Deep Convolution Neural Network-based SER for Marathi is presented in this study. For the emotions of anger, happiness, sadness, and neutrality, our fresh Marathi data set includes 300 recordings of 15 speakers. On the basis of accuracy, precision, recall, and F1-score, the performance of the proposed DCNN is assessed using the new data set. The proposed scheme offers overall data accuracy of 0.4750, 0.4076, and 0.3927 for 5, 10, and 15 speakers, respectively, and overall accuracy of 0.6652, 0.6361, and 0.5800 for 5, 10, and 15 speakers, respectively, after feature extraction, which represents an improvement over the current state of the art used for SER for Marathi Corpus.","PeriodicalId":377623,"journal":{"name":"2023 3rd International Conference on Intelligent Technologies (CONIT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129024934","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}

引用次数: 0

Exploring the Effectiveness of BERT for Sentiment Analysis on Large-Scale Social Media Data 探索BERT在大规模社交媒体数据情感分析中的有效性

2023 3rd International Conference on Intelligent Technologies (CONIT) Pub Date : 2023-06-23 DOI: 10.1109/CONIT59222.2023.10205600

Thulasi Bikku, Jyothi Jarugula, Lavanya Kongala, Navya Deepthi Tummala, Naga Vardhani Donthiboina

{"title":"Exploring the Effectiveness of BERT for Sentiment Analysis on Large-Scale Social Media Data","authors":"Thulasi Bikku, Jyothi Jarugula, Lavanya Kongala, Navya Deepthi Tummala, Naga Vardhani Donthiboina","doi":"10.1109/CONIT59222.2023.10205600","DOIUrl":"https://doi.org/10.1109/CONIT59222.2023.10205600","url":null,"abstract":"Sentiment analysis is a crucial task in the field of natural language processing (NLP) and has gained significant attention due to the widespread use of social media platforms. Social media data presents unique challenges for sentiment analysis due to its unstructured nature, informal language, and abundance of noise and irrelevant information. To tackle these challenges, advanced techniques such as BERT have emerged as powerful tools for sentiment analysis. In our study, we aim to explore the effectiveness of BERT specifically for sentiment analysis on large-scale social media data. BERT is a state-of-the-art language model that has demonstrated impressive performance on various NLP tasks by capturing contextual information from both left and right contexts of a given word. By leveraging the pre-training and fine-tuning capabilities of BERT, we investigate its potential for sentiment analysis in the context of social media. To establish a comprehensive evaluation, we compare the performance of BERT with traditional machine learning algorithms commonly used for sentiment analysis. Our experimental results indicate that BERT surpasses the performance of traditional machine learning algorithms, achieving state-of-the-art results in sentiment analysis on the social media dataset. BERT's ability to capture intricate contextual information and understand the subtleties of social media language contributes to its superior performance. The model demonstrates exceptional accuracy, precision, recall, and F1-score, showcasing its effectiveness in classifying sentiment labels accurately.","PeriodicalId":377623,"journal":{"name":"2023 3rd International Conference on Intelligent Technologies (CONIT)","volume":"230 8","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132443304","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}

引用次数: 0

Student Performance Analysis based on Machine Learning Algorithms 基于机器学习算法的学生表现分析

2023 3rd International Conference on Intelligent Technologies (CONIT) Pub Date : 2023-06-23 DOI: 10.1109/CONIT59222.2023.10205602

Saksham Rajput, S. Ramesh

引用次数: 0