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2021 International Conference on Intelligent Technologies (CONIT)最新文献

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Improving the Real-Time Operations of an Industrial Facility using a Machine Learning based Self Adaptive System 利用基于机器学习的自适应系统改善工业设施的实时操作
2021 International Conference on Intelligent Technologies (CONIT) Pub Date : 2021-06-25 DOI: 10.1109/CONIT51480.2021.9498289
Yogesha Aralakuppe Ramegowda, Falguni Krishna Prasad Mishra
{"title":"Improving the Real-Time Operations of an Industrial Facility using a Machine Learning based Self Adaptive System","authors":"Yogesha Aralakuppe Ramegowda, Falguni Krishna Prasad Mishra","doi":"10.1109/CONIT51480.2021.9498289","DOIUrl":"https://doi.org/10.1109/CONIT51480.2021.9498289","url":null,"abstract":"This paper relates generally to industrial process control and automation systems that automate the operation of one or more bulk fuel terminal for the products such as crude oil, refined oil, liquefied natural gas, petroleum gas and other fuel type. More specifically, it focuses on the machine learning based self-adaptive system that would be able to learn and automatically adapt and improve its behaviour based on the data stream and the history of past actions to improve the real-time operational efficiency of the bulk fuel terminal station. It is an integrated, modular, and scalable solution that can be extended to any industrial facilities.","PeriodicalId":426131,"journal":{"name":"2021 International Conference on Intelligent Technologies (CONIT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115771245","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
A Machine Learning Model For Detection and Recognition Of Traffic Signs 交通标志检测与识别的机器学习模型
2021 International Conference on Intelligent Technologies (CONIT) Pub Date : 2021-06-25 DOI: 10.1109/CONIT51480.2021.9498270
B. Smitha Shekar, G. Harish
{"title":"A Machine Learning Model For Detection and Recognition Of Traffic Signs","authors":"B. Smitha Shekar, G. Harish","doi":"10.1109/CONIT51480.2021.9498270","DOIUrl":"https://doi.org/10.1109/CONIT51480.2021.9498270","url":null,"abstract":"Road accidents and deaths has been a major concern all over the world. There is never a day where there is no news about road accidents and deaths. The main cause for the frequency of road accidents to drastically increase is supposed to be the changing environmental conditions and non-realization of traffic sign recognition system. Now the world is moving towards an era of driver-less or autonomous vehicles, the paper proposes a novel approach to help vehicle drivers for safety driving concentrating mainly towards road traffic sign detection mechanism. The proposed system is a part of Intelligent Transport System(ITS) which can pave way as one of the dimension of a Smart City. The work here mainly focus on the challenges that could be tackled to avoid road accidents by introducing an alert system to detect the traffic signs while driving and also assist drivers with low vision. The work-done describes the use of Convolution Neural Network(CNN) classification model with inbuilt OpenCV functions to pre-process the images for traffic sign detection and recognition using Binarization and Region Of Interest(ROI). Overall, the proposed model has resulted an accuracy of 96.9% for training set and 98.8% for the validation set.","PeriodicalId":426131,"journal":{"name":"2021 International Conference on Intelligent Technologies (CONIT)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116061416","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: 2
Symmetrical and Asymmetrical Conventional Cascaded Multilevel Inverter with SPWM Technique 采用SPWM技术的对称和非对称常规级联多电平逆变器
2021 International Conference on Intelligent Technologies (CONIT) Pub Date : 2021-06-25 DOI: 10.1109/CONIT51480.2021.9498417
L. Nanda, C. Jena, Sarita Samal
{"title":"Symmetrical and Asymmetrical Conventional Cascaded Multilevel Inverter with SPWM Technique","authors":"L. Nanda, C. Jena, Sarita Samal","doi":"10.1109/CONIT51480.2021.9498417","DOIUrl":"https://doi.org/10.1109/CONIT51480.2021.9498417","url":null,"abstract":"The classical topologies do solve the challenges encountered with two-level conventional inverter. As the output voltage level increases, the AC output waveform is better with less THD. However cascaded multilevel inverter(CMLI) among all the classical topologies, is being preferred due to its simple modularity and absence of diodes and capacitors. CHB generates a good sinusoidal output waveform with little total harmonic distortion.","PeriodicalId":426131,"journal":{"name":"2021 International Conference on Intelligent Technologies (CONIT)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114989556","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: 2
Indian Regional Language Abstractive Text Summarization using Attention-based LSTM Neural Network 基于LSTM神经网络的印度区域语言抽象文本摘要
2021 International Conference on Intelligent Technologies (CONIT) Pub Date : 2021-06-25 DOI: 10.1109/CONIT51480.2021.9498309
Rishabh Karmakar, Ketki Nirantar, Prathamesh Kurunkar, Pooja Hiremath, Deptii D. Chaudhari
{"title":"Indian Regional Language Abstractive Text Summarization using Attention-based LSTM Neural Network","authors":"Rishabh Karmakar, Ketki Nirantar, Prathamesh Kurunkar, Pooja Hiremath, Deptii D. Chaudhari","doi":"10.1109/CONIT51480.2021.9498309","DOIUrl":"https://doi.org/10.1109/CONIT51480.2021.9498309","url":null,"abstract":"Text summarization is a process of compiling a block of text into a short, precise, and understandable text which provides the complete interpretation of the original text in fewer words whilst retaining the context of the original content. Literature and texts in regional languages are often difficult to comprehend due to a lack of corresponding summaries conveying the idea of the text. Abstractive text summarization is widely studied for the English language, however, it is in nascent stages for Indian Regional languages. There is an acute paucity of regional data sets, a challenge for researchers working in this field. In this paper, we try to resolve the data set scarcity in Indian Regional Languages like Hindi and Marathi, and we have proposed two new deep learning architectures to perform text summarization using the Abstractive approach which is Attention-based and Stacked LSTM based Sequence To Sequence (Seq2Seq) Neural Network. These models are backed by Hindi and Marathi stop-words and rare words list that we have created for pre-processing. Our novel approach enables the model to accept text in Hindi and Marathi languages and to produce a succinct summary correspondingly able to explain the gist of the original text lucidly.","PeriodicalId":426131,"journal":{"name":"2021 International Conference on Intelligent Technologies (CONIT)","volume":"49 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123190192","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: 5
A Simulation Based Comparison and Performance Analysis of EDFA for Various Types of Pulses 基于仿真的EDFA对不同类型脉冲的比较与性能分析
2021 International Conference on Intelligent Technologies (CONIT) Pub Date : 2021-06-25 DOI: 10.1109/CONIT51480.2021.9498279
Swatilekha Das, R. Dhar, M. K. Dutta
{"title":"A Simulation Based Comparison and Performance Analysis of EDFA for Various Types of Pulses","authors":"Swatilekha Das, R. Dhar, M. K. Dutta","doi":"10.1109/CONIT51480.2021.9498279","DOIUrl":"https://doi.org/10.1109/CONIT51480.2021.9498279","url":null,"abstract":"Optical signal can propagates through an optical fiber for very long distance. However after travelling a certain distance the transmitted signal gets attenuated due to different nonlinear effects present in the fiber. As a result of the degradation due to fiber nonlinearities the signal becomes too weak that it becomes almost undetectable. Before reaching to this condition the weak signal must be amplified by using proper optical amplifier. The performance of an optical amplifier depends upon the various input pulses used for transmission, such as Return-to-Zero (RZ), Non return to Zero (NRZ), Raised Cosine (RC) and Gaussian pulse. In this paper the performance of Erbium doped fiber amplifier (EDFA) has been compared for the above mentioned modulating pulse types. The performance has been verified for different parameters namely, Q factor, Biterror-rate, power output, frequency spectrum etc. The result discussed here may be useful for designing an efficient optical network for long haul all optical communication.","PeriodicalId":426131,"journal":{"name":"2021 International Conference on Intelligent Technologies (CONIT)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123211285","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
A Strategy to Maximize Network Lifetime in Wireless Sensor Networks 无线传感器网络中网络寿命最大化策略研究
2021 International Conference on Intelligent Technologies (CONIT) Pub Date : 2021-06-25 DOI: 10.1109/CONIT51480.2021.9498438
A. Anoop, P. Lohith
{"title":"A Strategy to Maximize Network Lifetime in Wireless Sensor Networks","authors":"A. Anoop, P. Lohith","doi":"10.1109/CONIT51480.2021.9498438","DOIUrl":"https://doi.org/10.1109/CONIT51480.2021.9498438","url":null,"abstract":"In WSN energy depletion is one of the prime issues to address, one of the most efficient ways for extending the lifespan of the network is to introduce heterogeneity. Heterogeneous sensor network can be described as a network which contains some special nodes with varying computing power and sensing range. Adding heterogeneity also helps in maintaining the overall load of the network. In order to achieve maximum lifetime placement of such heterogeneous nodes in optimum locations is integral. By integrating particle swarm and ant colony optimization techniques, we have proposed an efficient deployment and dynamic routing mechanism which is simulated in matlab. The results indicates that the proposed methodology maximizes the network lifetime drastically.","PeriodicalId":426131,"journal":{"name":"2021 International Conference on Intelligent Technologies (CONIT)","volume":"37 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113977538","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
Exoskeletal Development of a Hand Complex for Rehabilitation Activities 手部复健活动的外骨骼发育
2021 International Conference on Intelligent Technologies (CONIT) Pub Date : 2021-06-25 DOI: 10.1109/CONIT51480.2021.9498443
Meby Mathew, M. Arun, Rodrigues Neil Francis, A. Sudheer
{"title":"Exoskeletal Development of a Hand Complex for Rehabilitation Activities","authors":"Meby Mathew, M. Arun, Rodrigues Neil Francis, A. Sudheer","doi":"10.1109/CONIT51480.2021.9498443","DOIUrl":"https://doi.org/10.1109/CONIT51480.2021.9498443","url":null,"abstract":"Hand exoskeletons are becoming inevitable in the journey of rehabilitation robotics. The practical considerations of human interactions are always constraining the developments in hand exoskeletons. In this paper, the design, kinematic modeling, and static structural analysis are carried out to synthesis the mechanism for a hand exoskeleton. The minimum grasping capacity for the index finger is analyzed and found to be in the range of the literature. This paper also finally presents the prototype fabrication of a lightweight and robust hand exoskeleton.","PeriodicalId":426131,"journal":{"name":"2021 International Conference on Intelligent Technologies (CONIT)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114969245","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
Wye-Delta and Delta-Wye Transformations of Proximally-Coupled Inductor Triads 近耦合电感三极管的Wye-Delta变换和Delta-Wye变换
2021 International Conference on Intelligent Technologies (CONIT) Pub Date : 2021-06-25 DOI: 10.1109/CONIT51480.2021.9498558
Chaitali Shah, I. R. Rao
{"title":"Wye-Delta and Delta-Wye Transformations of Proximally-Coupled Inductor Triads","authors":"Chaitali Shah, I. R. Rao","doi":"10.1109/CONIT51480.2021.9498558","DOIUrl":"https://doi.org/10.1109/CONIT51480.2021.9498558","url":null,"abstract":"This paper presents a method for Wye-Delta and Delta-Wye transformations of proximally-coupled inductor triads. This is achieved by a two stage process: a topology-preserving ‘deproximation’ that produces an intermediate coupling-free network which retains the same structure, thus making it possible to apply a straightforward transformation. The developed method is illustrated via numerical examples.","PeriodicalId":426131,"journal":{"name":"2021 International Conference on Intelligent Technologies (CONIT)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122589081","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
Community Detection in Social Networks using Local Topology and Information Exchange 基于本地拓扑和信息交换的社交网络社区检测
2021 International Conference on Intelligent Technologies (CONIT) Pub Date : 2021-06-25 DOI: 10.1109/CONIT51480.2021.9498401
Soumita Das, A. Biswas
{"title":"Community Detection in Social Networks using Local Topology and Information Exchange","authors":"Soumita Das, A. Biswas","doi":"10.1109/CONIT51480.2021.9498401","DOIUrl":"https://doi.org/10.1109/CONIT51480.2021.9498401","url":null,"abstract":"The community detection problem has attracted a huge number of researchers from the scientific community because it helps to understand the relationship between structural and functional properties of social networks. In this paper, we propose a novel community detection approach namely, Closeness Similarity driven Information Diffusion based community detection (CSID) which makes full utilization of local topology for similarity computation followed by information exchange and modularity maximization. Most of the existing algorithms so far are not suitable to quantify both the local topology information and exchange of information between the nodes. Extensive experiments are carried out to perform a comparative evaluation on several real-world datasets. The experimental results show that the proposed approach gives better results in comparison to most of the baseline algorithms.","PeriodicalId":426131,"journal":{"name":"2021 International Conference on Intelligent Technologies (CONIT)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122866766","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: 2
Real Time Vehicle Tracking, Information Retrieval and Motion Analysis using Machine Learning 基于机器学习的实时车辆跟踪、信息检索和运动分析
2021 International Conference on Intelligent Technologies (CONIT) Pub Date : 2021-06-25 DOI: 10.1109/CONIT51480.2021.9498480
Sumalatha Aradhya, Shashi Kumar, P. Rudraradhya, S. Thejaswini, A. Soumya
{"title":"Real Time Vehicle Tracking, Information Retrieval and Motion Analysis using Machine Learning","authors":"Sumalatha Aradhya, Shashi Kumar, P. Rudraradhya, S. Thejaswini, A. Soumya","doi":"10.1109/CONIT51480.2021.9498480","DOIUrl":"https://doi.org/10.1109/CONIT51480.2021.9498480","url":null,"abstract":"Today, Internet of Vehicles has given us the opportunity to understand our vehicle in digitized way. To track the vehicle, information regarding the vehicle registration number, the real time location of the vehicle, speed of the vehicle, detail of the vehicle owner etc. are needed both by the traffic authorities and the driver while driving itself. An approach to track the vehicle and to notify the traffic authority as well as driver is discussed in this paper. An algorithm is implemented to transmit the data from tracked vehicle. As part of the solution, a mobile application is implemented and used to track the location and speed of the vehicle. We are proposing a context aware application using RFID sensor, head up display to track, analyse and control vehicle motion and speed in real time. The solution gives all the information related to the vehicle and driver to the traffic authority.","PeriodicalId":426131,"journal":{"name":"2021 International Conference on Intelligent Technologies (CONIT)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125374896","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
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