Journal of Ubiquitous Computing and Communication Technologies最新文献_第2页

Object Detection for Mixed Traffic under Degraded Hazy Vision Condition 模糊视觉退化条件下混合交通目标检测

Journal of Ubiquitous Computing and Communication Technologies Pub Date : 2023-06-01 DOI: 10.36548/jucct.2023.2.003

Jagrati Dhakar, Keshav Gaur, Satbir Singh, Arun K Khosla

{"title":"Object Detection for Mixed Traffic under Degraded Hazy Vision Condition","authors":"Jagrati Dhakar, Keshav Gaur, Satbir Singh, Arun K Khosla","doi":"10.36548/jucct.2023.2.003","DOIUrl":"https://doi.org/10.36548/jucct.2023.2.003","url":null,"abstract":"Vehicle detection in degraded hazy conditions poses significant challenges in computer vision. It is difficult to detect objects accurately under hazy conditions because vision is reduced, and color and texture information is distorted. This research paper presents a comparative analysis of different YOLO (You Only Look Once) methodologies, including YOLOv5, YOLOv6, and YOLOv7, for object detection in mixed traffic under degraded hazy conditions. The accuracy of object detection algorithms can be significantly impacted by hazy weather, so creating reliable models is critical. An open-source dataset of footage obtained from security cameras installed on traffic signals is used for this study to evaluate the performance of these algorithms. The dataset includes various traffic objects under varying haze levels, providing a diverse range of atmospheric conditions encountered in real-world scenarios. The experiments illustrate that the YOLO-based techniques are effective at detecting objects in degraded hazy conditions and give information about how well they perform in comparison. The findings help object detection models operate more accurately and consistently under adverse weather conditions.","PeriodicalId":443052,"journal":{"name":"Journal of Ubiquitous Computing and Communication Technologies","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130500366","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

Indian Machinery and Transport Equipment Exports - Forecasting with External Factors Using Chain of Hybrid Sarimax-Garch Model 印度机械和运输设备出口——基于Sarimax-Garch混合模型链的外部因素预测

Journal of Ubiquitous Computing and Communication Technologies Pub Date : 2023-06-01 DOI: 10.36548/jucct.2023.2.005

Ramneet Singh Chadha, Shahzadi Parveen, Jugesh, Jasmehar Singh

{"title":"Indian Machinery and Transport Equipment Exports - Forecasting with External Factors Using Chain of Hybrid Sarimax-Garch Model","authors":"Ramneet Singh Chadha, Shahzadi Parveen, Jugesh, Jasmehar Singh","doi":"10.36548/jucct.2023.2.005","DOIUrl":"https://doi.org/10.36548/jucct.2023.2.005","url":null,"abstract":"To choose the best forecasting model, it is essential to comprehend time series data since external influences like social, economic, and political events may affect the way the data behave. This study considers outside variables that could have an impact on the target variable used in improving the predictions. India Machinery and Transport Equipment Dataset is gathered from various sources, are cleaned, pre-processed, the missing values are removed, data types are converted, and dependent variables are identified before being used. By incorporating the SARIMAX model with the GARCH model and experimenting with various parameters and conditions, the current study seeks to enhance it. The SARIMAX-GARCH Model is a time series forecasting method used to predict market swings and export values. A helper model is developed to forecast the exogenous value to forecast the export value, which is then used as input for the final model. The ideal parameters for boosting the hybrid model's performance were identified through hyperparameter tuning. The results of this study provide estimates for future export values and contribute to a better understanding of India's Machinery and Transport Equipment export market. This research work focuses on export value forecasting with the use of future exogenous variables. Exogenous factors are essential for predicting market changes and, as a result, support the forecasting of precise export values.","PeriodicalId":443052,"journal":{"name":"Journal of Ubiquitous Computing and Communication Technologies","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123138804","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

Sentiment Analysis and Topic Modeling on News Headlines 新闻标题的情感分析与主题建模

Journal of Ubiquitous Computing and Communication Technologies Pub Date : 2022-09-22 DOI: 10.36548/jucct.2022.3.008

Vijay N. Yadav, S. Shakya

引用次数: 4

Comprehensive Review on UAV Efficient Path Planning Techniques for Optimized Applications 面向优化应用的无人机高效路径规划技术综述

Journal of Ubiquitous Computing and Communication Technologies Pub Date : 2022-09-21 DOI: 10.36548/jucct.2022.3.007

T. Senthilkumar

引用次数: 0

High Dimensional Datasets Optimization handling by Wrapper Sequential Feature Selection in Forward Mode - A Comparative Survey 前向模式下包装器序列特征选择对高维数据集的优化处理——比较研究

Journal of Ubiquitous Computing and Communication Technologies Pub Date : 2022-09-16 DOI: 10.36548/jucct.2022.3.006

Ravi Shankar Mishra

引用次数: 0

A Taxonomy and Capacity Planning Technique for Sustainable Cloud Computing – An Extensive Overview 可持续云计算的分类和容量规划技术-广泛概述

Journal of Ubiquitous Computing and Communication Technologies Pub Date : 2022-09-15 DOI: 10.36548/jucct.2022.3.005

Sivaraman Eswaran

引用次数: 0

Application of Hybrid Filtering Strategies in Music Recommendation System 混合过滤策略在音乐推荐系统中的应用

Journal of Ubiquitous Computing and Communication Technologies Pub Date : 2022-09-15 DOI: 10.36548/jucct.2022.3.004

Surekha Lanka

引用次数: 0

Fog Computing-Based 5G LPWAN Anomaly Detection for Smart Cities 基于雾计算的智慧城市5G LPWAN异常检测

Journal of Ubiquitous Computing and Communication Technologies Pub Date : 2022-09-15 DOI: 10.36548/jucct.2022.3.003

R. Krishnan

{"title":"Fog Computing-Based 5G LPWAN Anomaly Detection for Smart Cities","authors":"R. Krishnan","doi":"10.36548/jucct.2022.3.003","DOIUrl":"https://doi.org/10.36548/jucct.2022.3.003","url":null,"abstract":"Known for excellent convenience and abundant facilities, smart cities offer CCTV, delivery robots, security robots, and so on to its residents. Along with the collaboration of IoT (Internet Of Things), the innovation of smart city has gained immense attraction at present. Besides, the risks and challenging in the field of telecommunication still persists as the implemented wireless networks results in traffic and anomaly behaviour. Such issues become critical in case of large-scale infrastructure networks like WSN’s. As such circumstances, to perform efficient health and environment monitoring, the need for a next generation networked system raises. As the traditional anomaly detection schemes doesn’t work out for delay-sensitive environments due to increased latency, we propose a scalable, hybrid spatiotemporal anomaly detection approach that can effectively detect potential anomalies in the network. With the use of real-time stream processing, and other methodologies like Software-Defined Networking (SDN), a Fog Computing-based 5G low-power Wide Area Network (LPWAN) solution is developed and tested on a Antwerp’s City of Things testbed. The proposed approach is found to be beneficial when deployed in a real network environment with nearly 1800 sensor nodes.","PeriodicalId":443052,"journal":{"name":"Journal of Ubiquitous Computing and Communication Technologies","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130547502","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 Modern Tool of Conversation: Chatbot 一个现代的对话工具:聊天机器人

Journal of Ubiquitous Computing and Communication Technologies Pub Date : 2022-09-03 DOI: 10.36548/jucct.2022.3.002

Vibhuti Gupta, Megha Gupta

引用次数: 0

A Study on Brain Fingerprinting Technology 脑指纹识别技术研究

Journal of Ubiquitous Computing and Communication Technologies Pub Date : 2022-08-24 DOI: 10.36548/jucct.2022.3.001

S. Deepika, B. Kaviyadharshini, S. Sharmila, S. N. Sangeethaa, S. Jothimani

{"title":"A Study on Brain Fingerprinting Technology","authors":"S. Deepika, B. Kaviyadharshini, S. Sharmila, S. N. Sangeethaa, S. Jothimani","doi":"10.36548/jucct.2022.3.001","DOIUrl":"https://doi.org/10.36548/jucct.2022.3.001","url":null,"abstract":"The detection and resolution of any crime is made possible with the use of modern technology. The crime is discovered, the suspect is named, and then the court is presented with sufficient proof to show that the crime was committed by the named suspect. The proofs could be mental or physical. The best lie detector now in existence, according to this invention, is reported to be able to catch even sneaky crooks who successfully pass the standard polygraph test. Criminal investigators gather physical evidence, which can be destroyed, while mental evidence is preserved in the brain and cannot be erased. The brain wave reaction of an individual to crime-related images or phrases displayed on a computer screen can be used to analyze those evidences, using Electroencephalography (EEG). This novel Brain Fingerprinting technique uses brainwaves, which can be used to determine if the test participant remembers the specifics of the incident. The brain wave issuer will trap him even if they are consciously hiding the required information. Over 120 studies, including testing on Federal agents, testing for the United States intelligence agency and the US Navy, tests on actual cases, including felony crimes, have demonstrated that brain fingerprinting is 100 percent accurate.","PeriodicalId":443052,"journal":{"name":"Journal of Ubiquitous Computing and Communication Technologies","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116095865","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