2021 International Conference on Intelligent Technologies (CONIT)最新文献_第8页

Fuzzy Logic based Braking System for Metro Train 基于模糊逻辑的地铁列车制动系统

2021 International Conference on Intelligent Technologies (CONIT) Pub Date : 2021-06-25 DOI: 10.1109/CONIT51480.2021.9498360

Basant Tomar, Narendra Kumar

引用次数: 1

Wireless Energy Harvesting Cognitive Radio Network under Finite-Capacity Battery for Nakagami-m Fading 有限容量电池下的中川米衰落无线能量收集认知无线电网络

2021 International Conference on Intelligent Technologies (CONIT) Pub Date : 2021-06-25 DOI: 10.1109/CONIT51480.2021.9498306

Nayanika Biswas, P. Tewari

引用次数: 0

Adversarial Network for Photographic Image Synthesis from Fine-grained Captions 从细粒度标题合成摄影图像的对抗网络

2021 International Conference on Intelligent Technologies (CONIT) Pub Date : 2021-06-25 DOI: 10.1109/CONIT51480.2021.9498513

P. Desai, C. Sujatha, Ramnath Shanbhag, Raghavendra Gotur, Rajesh Hebbar, Praneet Kurtkoti

{"title":"Adversarial Network for Photographic Image Synthesis from Fine-grained Captions","authors":"P. Desai, C. Sujatha, Ramnath Shanbhag, Raghavendra Gotur, Rajesh Hebbar, Praneet Kurtkoti","doi":"10.1109/CONIT51480.2021.9498513","DOIUrl":"https://doi.org/10.1109/CONIT51480.2021.9498513","url":null,"abstract":"Automatic synthesis of realistic images from a given caption of text is a fascinating research idea and useful in many applications such as image in-painting, photo-editing, computer-aided design, etc. Current AI techniques are still exploring in this direction. However, researchers are currently developing text-to-image synthesis networks focused on the learning of discriminative text and image features using continuous and generalized robust neural network architectures. Many applications use deep convolution Generative Adversarial Networks (GANs) to construct extremely persuasive representations of explicit categories like faces, album covers, birds, creatures, and room interiors, among others. With the progress of generative models, neural networks can not only recognize images but are used to generate audio and realistic images as well. In the proposed work, the authors have used GAN-CLS architecture to create images from given text descriptions/captions. The experiment uses the CUB-200 dataset, which contains 11,788 bird images from 200 categories, as well as the Oxford-102 dataset, which contains 8,189 flower images from 102 categories. The proposed system's performance is assessed and compared to that of other systems.","PeriodicalId":426131,"journal":{"name":"2021 International Conference on Intelligent Technologies (CONIT)","volume":"43 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":"130243856","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

Techno-Economic Analysis and Optimal Sizing of Stand-alone Hybrid AC-DC Microgrid by Nature inspired Firefly algorithm and Particle Swarm Optimization 基于自然启发的萤火虫算法和粒子群算法的独立交直流混合微电网技术经济分析及优化规模

2021 International Conference on Intelligent Technologies (CONIT) Pub Date : 2021-06-25 DOI: 10.1109/CONIT51480.2021.9498511

Kalyani Makarand Kurundkar, G. Karve, G. Vaidya

{"title":"Techno-Economic Analysis and Optimal Sizing of Stand-alone Hybrid AC-DC Microgrid by Nature inspired Firefly algorithm and Particle Swarm Optimization","authors":"Kalyani Makarand Kurundkar, G. Karve, G. Vaidya","doi":"10.1109/CONIT51480.2021.9498511","DOIUrl":"https://doi.org/10.1109/CONIT51480.2021.9498511","url":null,"abstract":"Techno-Economic analysis of microgrid and its optimal sizing is a complex multi-objective problem. This complexity is due to the uncertainty of resources and connected load. The objective in standalone mode is overall cost minimization while fulfilling all the connected load demand. In this study, microgrid components are system are Photovoltaic system, dispatchable Diesel Generator, Wind Energy Conversion system and Battery Energy Storage System. Along with Optimal sizing, techno-economic analysis is carried out for two different scenarios and results are compared using nature inspired Firefly Algorithm (FA) and Particle Swarm optimization (PSO). For optimal sizing of microgrid with energy storage, State of charge of battery (SOC) is decision making factor and for techno-economic analysis diesel generator fuel cost is most important factor. Scenario 1 is considering subsidized fuel cost, and SOC of battery and scenario 2 is considering unsubsidized fuel cost and without considering the State of charge. The results show that only under subsidized cost of fuel, the operation cost is minimum of the but pollution level is very high. If the subsidy is eliminated then, only power from renewable energy sources is more attractive option. The Energy level in battery is very important factor which impacts overall cost of the system. Reliability indices of microgrid in Stand-alone mode “Loss of load probability indices” are also calculated to examine the optimal sizing of the system. Comparing the results of both Nature inspired algorithms, it is found that Firefly algorithm converges earlier and gives better minimized cost as compared to PSO.","PeriodicalId":426131,"journal":{"name":"2021 International Conference on Intelligent Technologies (CONIT)","volume":"35 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":"129674998","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 Computer Vision Approach for Automated Driver Assistance System 自动驾驶辅助系统的计算机视觉方法

2021 International Conference on Intelligent Technologies (CONIT) Pub Date : 2021-06-25 DOI: 10.1109/CONIT51480.2021.9498356

M. Keerthana, M. S. Vishnu Prasath, S. K. Yaswanthkumar

引用次数: 4

Heart Failure Prediction using Machine Learning with Exploratory Data Analysis 使用探索性数据分析的机器学习预测心力衰竭

2021 International Conference on Intelligent Technologies (CONIT) Pub Date : 2021-06-25 DOI: 10.1109/CONIT51480.2021.9498561

Harsh Agrawal, Janki Chandiwala, Sarvesh Agrawal, Y. Goyal

引用次数: 7

Tratak Meditation As a CAM for Stress Management: An EEG Based Analysis 冥想作为压力管理的辅助工具:基于脑电图的分析

2021 International Conference on Intelligent Technologies (CONIT) Pub Date : 2021-06-25 DOI: 10.1109/CONIT51480.2021.9498288

Swati S. Kamthekar, B. Iyer

引用次数: 3

Facial Mask Detection and Alert System 面具检测和警报系统

2021 International Conference on Intelligent Technologies (CONIT) Pub Date : 2021-06-25 DOI: 10.1109/CONIT51480.2021.9498278

Arpita Mashyal, Basavaraj Chougula, Sukanya Kobal, Harshala Gopal Bajantri, Veeresh

{"title":"Facial Mask Detection and Alert System","authors":"Arpita Mashyal, Basavaraj Chougula, Sukanya Kobal, Harshala Gopal Bajantri, Veeresh","doi":"10.1109/CONIT51480.2021.9498278","DOIUrl":"https://doi.org/10.1109/CONIT51480.2021.9498278","url":null,"abstract":"COVID-19 (declared pandemic by WHO) caused by unique virus called coronavirus has been spreading unceasingly, and causing a global health crisis. This has forced governments around the world to take blockade measures to prevent the spread of the virus. The majority of sectors of development is effected due to COVID-19. To lessen the spread of this caused disease good number of preventive measures is considered and one of them is covering with mask in crowded sites. This is also declared to be one of the effective methods according to WHO (World Health Organization). Reports indicate that wearing facemasks while at work, in public places, manufacturing setup reduces the risk of transmission. As a solution, an efficient and economical approach of using deep learning allows to create a safe environment in a manufacturing setup and public places. The system proposed within this project, restricts the unease spread of coronavirus by differentiating individuals with and without mask in public places that is being tracked through Live feed cameras. If an individual not covered with a mask is found, the respective staff is instructed with a message, and an alert sound message to “ Wear the mask” is given to the person. The dataset which is collected from different sources comprises the images of individuals covering with masks and not covering with masks. This will be used to train the deep learning architecture.","PeriodicalId":426131,"journal":{"name":"2021 International Conference on Intelligent Technologies (CONIT)","volume":"20 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":"128549667","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

Dual Band 9-Shaped Graphene-Film Patch Antenna for 5G Applications 用于5G应用的双波段9形石墨烯薄膜贴片天线

2021 International Conference on Intelligent Technologies (CONIT) Pub Date : 2021-06-25 DOI: 10.1109/CONIT51480.2021.9498477

Ankit Kaim, Shailesh Mishra

引用次数: 0

IoT based Safety System: LPG/CNG Detection and Alert 基于物联网的安全系统:LPG/CNG检测和警报

2021 International Conference on Intelligent Technologies (CONIT) Pub Date : 2021-06-25 DOI: 10.1109/CONIT51480.2021.9498285

Avita Katal, Kavin Sharma, Vitesh Sethi

{"title":"IoT based Safety System: LPG/CNG Detection and Alert","authors":"Avita Katal, Kavin Sharma, Vitesh Sethi","doi":"10.1109/CONIT51480.2021.9498285","DOIUrl":"https://doi.org/10.1109/CONIT51480.2021.9498285","url":null,"abstract":"Internet of things (IoT) connects people and things. It helps in transforming the current system to provide quality of services to the society. In order to support the idea of a smart city, IoT plays a key role to add services for citizens and the administration of the city with advanced technology. IoT has the capability to provide updated information to all the authorities who are dealing with the emergencies like fire, crime etc. IoT is also responsible for mitigating the challenges to emergency response that includes the current problems like poor communication network and lag in information. In this paper, an ARC-GIS and IoT based autonomous system is proposed. The system detects fire. The system consists of the fire-detecting device that makes use of different sensors with the ESRII ArcGIS map, responsible for detecting location of the incident. It first sends the push notification to the owner of the location. In case the fire is very high, it sends the notification to the fire-brigade application with all the details like, address of the incident, contact number, type of fire and the latitude and longitude values of the incident. The driver from the fire brigade can use the latitude and longitude values to get the shortest route from his current location to the incident location. The administrator web application is also developed that can be used for surveillance.","PeriodicalId":426131,"journal":{"name":"2021 International Conference on Intelligent Technologies (CONIT)","volume":"75 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":"130133208","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: 4