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AI Enabled Educational Bot to Improve Learning Outcomes using Bag of Words Algorithm 人工智能教育机器人使用单词袋算法提高学习效果
2022 Third International Conference on Intelligent Computing Instrumentation and Control Technologies (ICICICT) Pub Date : 2022-08-11 DOI: 10.1109/ICICICT54557.2022.9917892
S. S, Adithya Pothan Raj, R. S, P. S
{"title":"AI Enabled Educational Bot to Improve Learning Outcomes using Bag of Words Algorithm","authors":"S. S, Adithya Pothan Raj, R. S, P. S","doi":"10.1109/ICICICT54557.2022.9917892","DOIUrl":"https://doi.org/10.1109/ICICICT54557.2022.9917892","url":null,"abstract":"Educational institutes across India have closed due to COVID-19 pandemic which has jeopardized academic schedules. To maintain their academic activities, several Indian educational institutes have shifted to online learning platforms. However, there are still questions about the effectiveness, design, and readiness of e-learning. In light of this fact, E-learning still tends to be controversial. As a result, it is inevitable to design an application with greater usability. In this paper, a novel application tool is developed and the design is proposed to enhance student knowledge and facilitate their study process, so they can study in comfort at home. The proposed system allows students to receive personalized educational assistance and also allows the students to get instant responses to all their questions throughout the day via a voice-enabled chatbot. It facilitates the connection between students and tutors, as well as the awarding of mind coins and badges based on how well they do, motivating them to learn more. Data analytics is incorporated and usability is measured. The result shows that the proposed system has greater usability resulting in a progressive improvement in the student’s performance.","PeriodicalId":246214,"journal":{"name":"2022 Third International Conference on Intelligent Computing Instrumentation and Control Technologies (ICICICT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129885051","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 brain tumor segmentation and classification using MRI images 基于深度学习的脑肿瘤MRI图像分割与分类
2022 Third International Conference on Intelligent Computing Instrumentation and Control Technologies (ICICICT) Pub Date : 2022-08-11 DOI: 10.1109/ICICICT54557.2022.9917720
Yashwant Kumar Chandra, A. Agrawal
{"title":"Deep learning based brain tumor segmentation and classification using MRI images","authors":"Yashwant Kumar Chandra, A. Agrawal","doi":"10.1109/ICICICT54557.2022.9917720","DOIUrl":"https://doi.org/10.1109/ICICICT54557.2022.9917720","url":null,"abstract":"Following an MRI scan of a patient, radiologists partition the tumor-bearing area of the brain based on their previous experience. The presence of cerebrospinal fluid and white matter in the brain makes it difficult to pinpoint the tumor's location. Human observation is prone to error, especially when performed by a radiologist with less experience segmenting the MRI image. They are manually classified after segmentation based on the tumor's growth rate, origin area, and harmfulness. Deep learning models can be used to separate and classify data efficiently. Classification can be done before or after segmentation; here, segmentation is performed using U-Net while classification is done utilising some of the most efficient CNN models: VGG16, Resnet50, Inception V3, and SqueezeNet. After noise removal and data augmentation, Resnet50 outperforms the other four pretrained CNN models for the classification of MRI images on the \"Cjdata\" dataset (also called the \"Brain Tumor\" dataset).","PeriodicalId":246214,"journal":{"name":"2022 Third International Conference on Intelligent Computing Instrumentation and Control Technologies (ICICICT)","volume":"224 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127436857","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
Face Identification and Verification in Thermal Images 热图像中的人脸识别与验证
2022 Third International Conference on Intelligent Computing Instrumentation and Control Technologies (ICICICT) Pub Date : 2022-08-11 DOI: 10.1109/ICICICT54557.2022.9917911
Jeba Sonia J, P. Sheeba, Jeena Jacob
{"title":"Face Identification and Verification in Thermal Images","authors":"Jeba Sonia J, P. Sheeba, Jeena Jacob","doi":"10.1109/ICICICT54557.2022.9917911","DOIUrl":"https://doi.org/10.1109/ICICICT54557.2022.9917911","url":null,"abstract":"Surveillance has become a crucial role in recent years, owing to the rise in crime rates. Existing daytime surveillance research has improved performance by employing deep learning algorithms to recognize and track objects. However, due to low illumination and/or poor weather conditions, achieving the same performance for night vision are difficult. Face detection is a crucial task in surveillance. A face detection module based on merging of thermal and visual pictures is proposed. The encoder-decoder network of the fusion module extracts effective features from the given thermal and visual images using depth-wise convolution. By recording radiation information at a greater wavelength, the thermal face solves most of the limitations that visual faces have. The range of facial imageries that can be recognized is expanded by developing a method that recognizes thermal faces. Face recognition in thermal images is having high research scope, and it has been discovered that when thermal images are trained, it performs better.","PeriodicalId":246214,"journal":{"name":"2022 Third International Conference on Intelligent Computing Instrumentation and Control Technologies (ICICICT)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130923303","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
Implementation of solar powered safety applications for life protection 实施太阳能供电安全应用，保障生命安全
2022 Third International Conference on Intelligent Computing Instrumentation and Control Technologies (ICICICT) Pub Date : 2022-08-11 DOI: 10.1109/icicict54557.2022.9917844
A. P., G. E., Venkata Koteswararao K, N. N, S. M
{"title":"Implementation of solar powered safety applications for life protection","authors":"A. P., G. E., Venkata Koteswararao K, N. N, S. M","doi":"10.1109/icicict54557.2022.9917844","DOIUrl":"https://doi.org/10.1109/icicict54557.2022.9917844","url":null,"abstract":"We are currently facing a slew of challenges in the world as a result of the proliferation of viruses. From the beginning of human evolution to the present, the virus (or disease) has existed. The infection was easily transmitted from one person to the next. Viruses spread easily in places where people congregate, such as malls, theatres, hotels, train stations, and bus stations. Keeping this in mind, this work included several virus-prevention measures, such as the usage of a mask and a sanitization procedure. People are more interested in spending time outside, but they are not taking safety precautions, and people who are infected with viruses also go outside for daily activities, Viruses and hazardous illnesses are spreading faster than ever before, making it more difficult to stop them. We intend to use automatic sanitization and thermal temperature management to prevent the spread of virus or contagious disease. These are used to prevent the spread of viruses. Also, a booth is set up in the commencing (are) entering malls, hospitals, and hotels, among other locations. We are using the solar panel to supply the power. Through this work, we can quickly identify illnesses that affect people who attempt to enter malls, offices, bus stands etc. which we refer to as \"people gathering sites.\"","PeriodicalId":246214,"journal":{"name":"2022 Third International Conference on Intelligent Computing Instrumentation and Control Technologies (ICICICT)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132853818","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
Detection of hate speech in Social media memes: A comparative Analysis 社交媒体模因中仇恨言论的检测:比较分析
2022 Third International Conference on Intelligent Computing Instrumentation and Control Technologies (ICICICT) Pub Date : 2022-08-11 DOI: 10.1109/ICICICT54557.2022.9917633
Ajay Nayak, A. Agrawal
{"title":"Detection of hate speech in Social media memes: A comparative Analysis","authors":"Ajay Nayak, A. Agrawal","doi":"10.1109/ICICICT54557.2022.9917633","DOIUrl":"https://doi.org/10.1109/ICICICT54557.2022.9917633","url":null,"abstract":"This work projects light upon the challenges of hate speech detection in memes and demonstrates the various machine learning model to automatically detect hate in the internet memes. Memes are the visual content shared on the social media in the form of combination of picture and some textual phrases to depict light humour or jokes. However, some images in the form of memes can also be used to convey misinformation and hate, so their early automatic detection is necessary to stop the hate spreading to wide range of users or population which may cause unrest and harm to human life and property. In this paper, the hateful meme dataset by Facebook AI has been used to test the various unimodal and a multimodal approach to baseline performance for these models and highlight the challenges these hate memes pose to the community.","PeriodicalId":246214,"journal":{"name":"2022 Third International Conference on Intelligent Computing Instrumentation and Control Technologies (ICICICT)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132903130","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: 3
Two Stage Power Conversion For Grid Connected PV Using Current Control Technique 基于电流控制技术的并网光伏两级功率转换
2022 Third International Conference on Intelligent Computing Instrumentation and Control Technologies (ICICICT) Pub Date : 2022-08-11 DOI: 10.1109/ICICICT54557.2022.9917611
Mayank Kumar, Alka Singh
{"title":"Two Stage Power Conversion For Grid Connected PV Using Current Control Technique","authors":"Mayank Kumar, Alka Singh","doi":"10.1109/ICICICT54557.2022.9917611","DOIUrl":"https://doi.org/10.1109/ICICICT54557.2022.9917611","url":null,"abstract":"In this paper, the analysis and simulation of grid connected two stage PV system using inverter and its related controller is presented. A MATLAB SIMULINK based model is developed for the grid connected two stage PV-system using inverter. From the PV panel maximum power needs to be drawn and injected to the grid in a grid connected photovoltaic system. Different MPPT topologies and control methods are available in literature. By using the Perturb and Observe MPPT algorithm in this paper, from the photovoltaic panel maximum power is obtained. To the inverter from the photovoltaic module, a DC input voltage is fed and a controlled AC output power is obtained by adjusting Id and Iq. The results obtained confirm controller performance is adequate under varying solar irradiance.","PeriodicalId":246214,"journal":{"name":"2022 Third International Conference on Intelligent Computing Instrumentation and Control Technologies (ICICICT)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131948509","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
Automated Techniques on Indian Legal documents: A Review 印度法律文件的自动化技术综述
2022 Third International Conference on Intelligent Computing Instrumentation and Control Technologies (ICICICT) Pub Date : 2022-08-11 DOI: 10.1109/ICICICT54557.2022.9918013
Nineesha P, P. Deepalakshmi
{"title":"Automated Techniques on Indian Legal documents: A Review","authors":"Nineesha P, P. Deepalakshmi","doi":"10.1109/ICICICT54557.2022.9918013","DOIUrl":"https://doi.org/10.1109/ICICICT54557.2022.9918013","url":null,"abstract":"The usage of legal documents has increased tremendously due to its easy availability in electronic format. This has given a wide range of exposure to the research areas. An automated mechanism that processes legal data can lead the law to a new dimension. Different deep learning and artificial intelligence techniques have been applied to the Indian legal document. In this paper, we review about the different techniques like Recurrent Network Networks (RNN), Bidirectional Encoder Representations from Transformers (BERT), Robustly Optimized BERT Pre-training Approach(RoBERTa), Best Matching (BM25) algorithm, Support Vector Machine (SVM), Long Short-Term Memory(LSTM) that have been applied on the Indian legal document for summarising, prediction, text classification and multi-class text classification. This review will give a conclusion that the deep learning techniques will give a better performance than the others.","PeriodicalId":246214,"journal":{"name":"2022 Third International Conference on Intelligent Computing Instrumentation and Control Technologies (ICICICT)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132269381","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
Graphical User Interface for intelligent automotive with vehicle to vehicle communication and adaptive light controls using image processing and machine learning 用于智能汽车的图形用户界面，具有车对车通信和使用图像处理和机器学习的自适应光控
2022 Third International Conference on Intelligent Computing Instrumentation and Control Technologies (ICICICT) Pub Date : 2022-08-11 DOI: 10.1109/ICICICT54557.2022.9917618
R. Jose, J. Mathew, G. Devadhas, Mary Synthia Regis Prabha D M, Shinu Mm, Dhanoj M
{"title":"Graphical User Interface for intelligent automotive with vehicle to vehicle communication and adaptive light controls using image processing and machine learning","authors":"R. Jose, J. Mathew, G. Devadhas, Mary Synthia Regis Prabha D M, Shinu Mm, Dhanoj M","doi":"10.1109/ICICICT54557.2022.9917618","DOIUrl":"https://doi.org/10.1109/ICICICT54557.2022.9917618","url":null,"abstract":"Navigation systems are a vital part of the current traffic system. Advancements in driving technology have brought about radical changes in driving behaviour and reduced routing time. However, there are also risks to users in terms of distraction or inattention. Driving in night possess more risk than in day time driving due to abuse of high beams of the head lamb. Similar to the night driving, travelling in foggy day is also difficult for all road user. As far as the disruptive effects of navigation systems are concerned, the empirical conclusions are heterogeneous. The project is aimed to develop a low and effective Advance driver assistance system which includes vehicle to vehicle communication and intelligent headlight control. The project also aims to study and analyse different multi-disciplinary techniques which include supervised machine learning techniques o effectively classify road surface conditions using data collected from smartphones to ensure a safe and comfortable driving. A Graphical User Interface was developed which increases the usability of the system. In particular, visual distraction caused by navigation systems in relation to map navigation was reviewed. The project aims to analyse the data in such a way as to improve road safety when using a navigation system in unfamiliar areas. The results show that less glances of more than 2 seconds were found on the navigation system while map navigation leads to higher off-road times.","PeriodicalId":246214,"journal":{"name":"2022 Third International Conference on Intelligent Computing Instrumentation and Control Technologies (ICICICT)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131704000","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
MMD labeling of some graph families 一些图族的MMD标注
2022 Third International Conference on Intelligent Computing Instrumentation and Control Technologies (ICICICT) Pub Date : 2022-08-11 DOI: 10.1109/ICICICT54557.2022.9917821
R. Revathi, D. Angel, I. Annammal Arputhamary, K. Varunapriyan
{"title":"MMD labeling of some graph families","authors":"R. Revathi, D. Angel, I. Annammal Arputhamary, K. Varunapriyan","doi":"10.1109/ICICICT54557.2022.9917821","DOIUrl":"https://doi.org/10.1109/ICICICT54557.2022.9917821","url":null,"abstract":"Let the graph G has r vertices and let g be a relation from V(G) to {1,2,…,r} so that each vertex takes exactly one value i, 1 ≤ i ≤ r which is both one to one and onto. Let g* be a function induces edge labeling from E(G) to {0,1,…r-1}defined as g*(wv)=g(w)g(v)(mod r), for every edge vw in G. Collecting all edge labels and finding their addition if it is the divisor of r then the graph G is a modular multiplicative divisor (MMD) graph. Here constructed larger families of MMD graph and discuss MMD labeling of join of two graphs, one of the graph operations and complete tripartite MMD graphs. Discuss related open problems.","PeriodicalId":246214,"journal":{"name":"2022 Third International Conference on Intelligent Computing Instrumentation and Control Technologies (ICICICT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125413226","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
FSS Loaded CPW Fed Arch Slot Quatrefoil-Shape Antenna for Ku Band Applications in 5G Spectrum 5G频谱中Ku频段应用的FSS加载CPW馈电拱槽四翼天线
2022 Third International Conference on Intelligent Computing Instrumentation and Control Technologies (ICICICT) Pub Date : 2022-08-11 DOI: 10.1109/ICICICT54557.2022.9917724
Arun T R, Rithika, Sweety T J, S. K, Jobin Jose
{"title":"FSS Loaded CPW Fed Arch Slot Quatrefoil-Shape Antenna for Ku Band Applications in 5G Spectrum","authors":"Arun T R, Rithika, Sweety T J, S. K, Jobin Jose","doi":"10.1109/ICICICT54557.2022.9917724","DOIUrl":"https://doi.org/10.1109/ICICICT54557.2022.9917724","url":null,"abstract":"This paper presents an arch slot quatrefoil-shaped monopole antenna with a frequency selective surface (FSS). The dimension of the antenna is 0.92λ0mmX0.92λ0mmX0.082λ0mm. The Copper has been used as a radiating element, for antenna FR4 as substrate, and for FSS structure substrate is RL5880LZ. The ASQMA antenna resonates at 15.4GHz frequency, and the bandwidth is 2200MHz. Thereby adding FSS structure gain and bandwidth are simultaneously improved respectively to 6.8dB and 2600MHz. The simulated results show that the ASQMA antennas is the best candidate for cm to mm-wave application in the 5G spectrum.","PeriodicalId":246214,"journal":{"name":"2022 Third International Conference on Intelligent Computing Instrumentation and Control Technologies (ICICICT)","volume":"2008 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125586577","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: 1
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