2022 International Conference on Communication, Computing and Internet of Things (IC3IoT)最新文献_第2页

Role of Collaborative Filtering in Recommendation Systems 协同过滤在推荐系统中的作用

2022 International Conference on Communication, Computing and Internet of Things (IC3IoT) Pub Date : 2022-03-10 DOI: 10.1109/IC3IOT53935.2022.9767734

Taufique Umar Bux, Bhavya Varshney, Arjun K P

引用次数: 0

Diabetic Foot Ulcer Analysis System 糖尿病足溃疡分析系统

2022 International Conference on Communication, Computing and Internet of Things (IC3IoT) Pub Date : 2022-03-10 DOI: 10.1109/IC3IOT53935.2022.9767922

S. Prathibha, Saradha K N, S. R, Sindhuja V, Roshna N

引用次数: 0

SuRe VISION 确定视觉

2022 International Conference on Communication, Computing and Internet of Things (IC3IoT) Pub Date : 2022-03-10 DOI: 10.1109/IC3IOT53935.2022.9767983

G. Manimala, P. Kavitha, C. Lekha, S. Malavika, J. Kavitha

{"title":"SuRe VISION","authors":"G. Manimala, P. Kavitha, C. Lekha, S. Malavika, J. Kavitha","doi":"10.1109/IC3IOT53935.2022.9767983","DOIUrl":"https://doi.org/10.1109/IC3IOT53935.2022.9767983","url":null,"abstract":"Most Home appliances nowadays are simple implementations of complex Industrial solutions. Security and Surveillance is one such domain which evolved from industry usage to common home safety usage. Home security solutions today come with hefty price points for devices and subscriptions towards data management and backups, as huge data is generated and need to be stored. We tried to find the solution of this problem by harnessing the technological capabilities and implemented a deep learning-based solution and bringing down the cost of both hardware and storage. For high safety, the HD cameras are used everywhere and the video files size is big due to the high-resolution data. Currently surveillance camera manufacturers use compression techniques to reduce the data size and bring down the file size to an optimum level where they can be viewable, but still the data size is large. With Deep Learning based Super Resolution algorithms like EDSR, WDSR, SR-GAN we can compute and generate the high quality videos from low quality videos. Our approach is to store the data with low resolution in less space and generate the high-resolution videos on demand (only when we suspect a security breach or an anonymous activity) this reduces the storage cost a lot as these kinds of situations will raise only once in a while. We also tried to implement a low- resolution camera which will serve the purpose without compromising the security.","PeriodicalId":430809,"journal":{"name":"2022 International Conference on Communication, Computing and Internet of Things (IC3IoT)","volume":"670 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123986585","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

Computer Vision-Based Early Fire Detection Using Machine Learning 使用机器学习的基于计算机视觉的早期火灾探测

2022 International Conference on Communication, Computing and Internet of Things (IC3IoT) Pub Date : 2022-03-10 DOI: 10.1109/IC3IOT53935.2022.9767886

K. S. Kumar, K. B. Varma, L. Sujihelen, S. Jancy, R. Aishwarya, R. Yogitha

引用次数: 3

Energy-Efficient spatial modulation in wireless sensor networks 无线传感器网络中的节能空间调制

2022 International Conference on Communication, Computing and Internet of Things (IC3IoT) Pub Date : 2022-03-10 DOI: 10.1109/IC3IOT53935.2022.9768000

M. Kanthimathi, S. Surya, S. Usha, D. Vaithiyanathan

{"title":"Energy-Efficient spatial modulation in wireless sensor networks","authors":"M. Kanthimathi, S. Surya, S. Usha, D. Vaithiyanathan","doi":"10.1109/IC3IOT53935.2022.9768000","DOIUrl":"https://doi.org/10.1109/IC3IOT53935.2022.9768000","url":null,"abstract":"Spatial modulation (SM) is a promising technique for 5G systems as it guarantees good data rate at reduced complexity. Increased data rate and increased energy efficiency is possible with spatial modulation due to the fact that information is transmitted in the indices of the transmit antenna and also on the constellation symbol. Cooperative Multiple-Input-Multiple-Output (MIMO) technique based on spatial modulation is proposed to reduce the interchannel interference and synchronization problems among transmit nodes and achieve high multiplexing gain in Wireless Sensor Networks (WSNs). A cooperative MIMO framework is formed by considering spatially distributed nodes each with a single antenna employing spatial modulation for improving the energy efficiency of WSN. In the proposed technique the theoretical Pairwise error probability (PEP) is derived from the minimum Euclidean distance between the transmitted symbols. The Bit error rate (BER) performance and energy consumption per bit of the proposed technique is presented and compared with the performance of Spatial Modulation (SM)technique.","PeriodicalId":430809,"journal":{"name":"2022 International Conference on Communication, Computing and Internet of Things (IC3IoT)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126503674","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

Illegal Fishing Detection using Neural Network 基于神经网络的非法捕捞检测

2022 International Conference on Communication, Computing and Internet of Things (IC3IoT) Pub Date : 2022-03-10 DOI: 10.1109/IC3IOT53935.2022.9767876

V. Kalaiselvi, P. D, J. Ranjani, V. M, Mohana Priya S.

{"title":"Illegal Fishing Detection using Neural Network","authors":"V. Kalaiselvi, P. D, J. Ranjani, V. M, Mohana Priya S.","doi":"10.1109/IC3IOT53935.2022.9767876","DOIUrl":"https://doi.org/10.1109/IC3IOT53935.2022.9767876","url":null,"abstract":"Illegal fishing has become a worldwide concern resulting in drastic ecological consequences due to activities like overfishing. It is statistically shown that about 11–20 million tonnes of fish have been caught illegally on an annual basis, which amounts to 14%–33% of the global annual fishing catch. The estimated illegal fishing catch is totaled to be around $23 Billion. The vessel's ability to dredge, deplete and damage has lowered the fish stock to 65.8% in 2017 from 90% in 1990 within the biologically sustainable levels. To serve the preservation of biodiversity, illegal fishing detection provides an inclusive analysis strategy on the available data from the automatic identification system (AIS), the relative position of a vessel could be identified and the radar detection aids the tracking of vessels. The data is gathered by satellites and terrestrial receivers which is analyzed by The Global Fishing Watch (GFW) organization. The model based on AIS data, speed of the vessel, and vessel type is used to predict the fishing status of a vessel. The model processes the data being fed and targets the vessel by behavior identification and the likelihood of illegal activity could be monitored.","PeriodicalId":430809,"journal":{"name":"2022 International Conference on Communication, Computing and Internet of Things (IC3IoT)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132078338","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

A Review of DIS-Flooding Attacks in RPL based IoT Network 基于RPL的物联网网络dis泛洪攻击研究进展

2022 International Conference on Communication, Computing and Internet of Things (IC3IoT) Pub Date : 2022-03-10 DOI: 10.1109/IC3IOT53935.2022.9767875

Nisha, A. Dhingra, V. Sindhu

引用次数: 1

Design of Microwave 3-D Antenna for Brain Tumour Sensing System 脑肿瘤传感系统微波三维天线设计

2022 International Conference on Communication, Computing and Internet of Things (IC3IoT) Pub Date : 2022-03-10 DOI: 10.1109/IC3IOT53935.2022.9767920

Gunaseelan N G, A. M., V. A. Velvizhi, K. Jeyapiriya, S. Gayathri

{"title":"Design of Microwave 3-D Antenna for Brain Tumour Sensing System","authors":"Gunaseelan N G, A. M., V. A. Velvizhi, K. Jeyapiriya, S. Gayathri","doi":"10.1109/IC3IOT53935.2022.9767920","DOIUrl":"https://doi.org/10.1109/IC3IOT53935.2022.9767920","url":null,"abstract":"For microwave head imaging applications, a dense 3D patch antenna is described. The weighted patch approach is used to generate radiation patterns in a single direction, while the folding technique helps to obtain resonance at a lower frequency, both of which are required for an imaging system. To reduce the total antenna structure, a shorting wall is used. At 2.7 GHz, this method produces an antenna tone frequency of 2.65-2.91 GHz, with a gain value of 6.6 dBi. The antenna's dimensions are 25 25 10.5 mm3. The suggested antenna operates at a frequency that is acceptable for brain imaging. The proposed antenna's sensor feature is linked to its connection with the imaging entity, as well as its small size and excellent radiation pattern. Raster scanning technique is used to create a 2D of the target. The proposed highly directional antenna has been shown to identify tumours inside a human brain phantom. A 3-D antenna is given in this project that uses a stacked patch with a folding approach to reduce the antenna's dimension. Thus, its size is small, measuring 0.23 0.23 0.09 inches in length and width. It offers a good pattern over the working frequency range while remaining small in size. If the specification required is high gain with low frequency, then a shorting wall is required.","PeriodicalId":430809,"journal":{"name":"2022 International Conference on Communication, Computing and Internet of Things (IC3IoT)","volume":"1131 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134107555","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

Intelligent Fire-Fighting Robot with Deep Learning 具有深度学习的智能消防机器人

2022 International Conference on Communication, Computing and Internet of Things (IC3IoT) Pub Date : 2022-03-10 DOI: 10.1109/IC3IOT53935.2022.9767869

I. Imran, R. Ramesh, S. S. Abineshwar, V. Pandyaraj

{"title":"Intelligent Fire-Fighting Robot with Deep Learning","authors":"I. Imran, R. Ramesh, S. S. Abineshwar, V. Pandyaraj","doi":"10.1109/IC3IOT53935.2022.9767869","DOIUrl":"https://doi.org/10.1109/IC3IOT53935.2022.9767869","url":null,"abstract":"An accidental fire is a mishap that could be happen man-made or natural. Accidental fire occurs frequently and can be controlled but sometimes result in severe loss of life and property. To prevent these deadly activities, an autonomous fire-fighting robot is introduced. The bot will be activated as soon as the information of the fire accident reaches the bot. Once the location is fixed with google API, waypoints can be marked through the mission planner with the help of the GPS module. The bot will autonomously reach the destination using computer vision technologies. Lane, obstacle, and traffic light detections are executed to enable the autonomous drive. Yolov5 architecture plays a major role in detection methodologies. As soon as it reaches the destination, the fire and heat sensors will detect and spray water to douse the fire through the nozzle that can rotate about 180°. Initially, only one bot will be sent for rescue purposes, if it can't satisfy the needs and requirements, then the GSM module will send the message of inefficiency. So that more bots will reach the destination and can resolve the problem. To protect the electronic components the bot is thermally insulated with a special alloy of stainless steel. The proposed system will help reduce the burden of firefighters as well as manual errors caused during firefighting thus, it can own by private companies as well government.","PeriodicalId":430809,"journal":{"name":"2022 International Conference on Communication, Computing and Internet of Things (IC3IoT)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131507839","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

Early Depression Prediction and Estimation with EEG Signals using Machine Learning Algorithm 基于机器学习算法的脑电信号早期抑郁预测与估计

2022 International Conference on Communication, Computing and Internet of Things (IC3IoT) Pub Date : 2022-03-10 DOI: 10.1109/IC3IOT53935.2022.9767986

U. K, K. Latha

引用次数: 3