Big Data最新文献_第10页

Spatiotemporal Convolutions and Video Vision Transformers for Signer-Independent Sign Language Recognition 基于时空卷积和视频视觉变换的独立手语识别

IF 4.6 4区计算机科学

Big Data Pub Date : 2023-08-03 DOI: 10.1109/icABCD59051.2023.10220534

Mark Marais, Dane Brown, James Connan, Alden Boby

{"title":"Spatiotemporal Convolutions and Video Vision Transformers for Signer-Independent Sign Language Recognition","authors":"Mark Marais, Dane Brown, James Connan, Alden Boby","doi":"10.1109/icABCD59051.2023.10220534","DOIUrl":"https://doi.org/10.1109/icABCD59051.2023.10220534","url":null,"abstract":"Sign language is a vital tool of communication for individuals who are deaf or hard of hearing. Sign language recognition (SLR) technology can assist in bridging the communication gap between deaf and hearing individuals. However, existing SLR systems are typically signer-dependent, requiring training data from the specific signer for accurate recognition. This presents a significant challenge for practical use, as collecting data from every possible signer is not feasible. This research focuses on developing a signer-independent isolated SLR system to address this challenge. The system implements two model variants on the signer-independent datasets: an R(2+ I)D spatiotemporal convolutional block and a Video Vision transformer. These models learn to extract features from raw sign language videos from the LSA64 dataset and classify signs without needing handcrafted features, explicit segmentation or pose estimation. Overall, the R(2+1)D model architecture significantly outperformed the ViViT architecture for signer-independent SLR on the LSA64 dataset. The R(2+1)D model achieved a near-perfect accuracy of 99.53% on the unseen test set, with the ViViT model yielding an accuracy of 72.19 %. Proving that spatiotemporal convolutions are effective at signer-independent SLR.","PeriodicalId":51314,"journal":{"name":"Big Data","volume":null,"pages":null},"PeriodicalIF":4.6,"publicationDate":"2023-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80853503","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Deep Learning Model for Predicting Under-Five Mortality in Zimbabwe 预测津巴布韦五岁以下儿童死亡率的深度学习模型

IF 4.6 4区计算机科学

Big Data Pub Date : 2023-08-03 DOI: 10.1109/icABCD59051.2023.10220453

John Batani

{"title":"A Deep Learning Model for Predicting Under-Five Mortality in Zimbabwe","authors":"John Batani","doi":"10.1109/icABCD59051.2023.10220453","DOIUrl":"https://doi.org/10.1109/icABCD59051.2023.10220453","url":null,"abstract":"The death of children before they reach five years old (under-five mortality or U5M) is a global scourge that has attracted the attention of many governments, including the World Health Organisation and the United Nations. Children under-five in Sub-Saharan Africa are disproportionately susceptible to death, with a fifteen-fold likelihood of death compared to their counterparts in developed countries. Regardless of the numerous efforts by the Zimbabwean Government to improve child health, such as free access to care, provision of nutritional supplements, immunisation programmes and prevention of mother-to-child transmission, the country still has high under-five mortality rates (U5MRs). Zimbabwe's failure to reduce U5MRs to acceptable levels suggests that the current methods must be complemented. Identifying contextual risk factors and children at risk of death could help paediatricians to make timely and targeted interventions and policymakers to review existing and craft new policies to save children's lives. Therefore, this study applied deep learning to Zimbabwe's 2019 Multiple Indicator Cluster Survey data to predict under-five mortality and identify its associated risk factors. The study used a deep neural network with four hidden layers, k-fold cross-validation and the stochastic gradient descent (SGD) optimiser. All layers used the Rectified Linear Unit activation function except the output layer, which used the sigmoid activation for binary classification. The model produced a 90.04% accuracy, 92.39% precision, 87.30% recall and 95.04% area under the curve. Though the model predicts under-five mortality, it does not prescribe the appropriate interventions to save lives, a gap that future studies could fill.","PeriodicalId":51314,"journal":{"name":"Big Data","volume":null,"pages":null},"PeriodicalIF":4.6,"publicationDate":"2023-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77115425","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Swimming Goggles Optical Design by Fresnel Lenses 菲涅耳透镜的泳镜光学设计

IF 4.6 4区计算机科学

Big Data Pub Date : 2023-08-03 DOI: 10.3390/engproc2023038090

Feng-Ming Yeh, Liang-Ying Huang, Chao-Kai Chang, Ya-Hui Hsieh, Hsuan-Fu Wang, Rong-Seng Chang, Der-Chin Chen

引用次数: 0

Design of a 45 nm Complementary Metal Oxide Semiconductor Low Noise Amplifier for a 30 GHz Millimeter-Wave Wireless Transceiver in Radar Sensor Applications 用于雷达传感器中30ghz毫米波无线收发器的45 nm互补金属氧化物半导体低噪声放大器的设计

IF 4.6 4区计算机科学

Big Data Pub Date : 2023-08-03 DOI: 10.1109/icABCD59051.2023.10220474

Shingirirai M. Chakoma, K. Ogudo

{"title":"Design of a 45 nm Complementary Metal Oxide Semiconductor Low Noise Amplifier for a 30 GHz Millimeter-Wave Wireless Transceiver in Radar Sensor Applications","authors":"Shingirirai M. Chakoma, K. Ogudo","doi":"10.1109/icABCD59051.2023.10220474","DOIUrl":"https://doi.org/10.1109/icABCD59051.2023.10220474","url":null,"abstract":"The millimeter-wave (mmWave) frequency band is rapidly becoming utilized in wireless technologies due to its large bandwidth and high data throughput. Wireless technology is increasingly becoming the backbone of the Internet of Things (IoT). This has resulted in increased applications of the radio frequency (RF) spectrum and congestion of the microwave band. This can be solved by utilizing more bandwidth at higher frequency bands. One notable application of IoT pertains to radar sensing, which has experienced increased popularity across various domains such as autonomous vehicles, gesture recognition, drones, and health monitoring. Radar sensors have been employed in these applications to perform tasks including proximity sensing, direction detection, speed measurement, target localization, and capturing physiological indicators such as heartbeat and breathing. Several factors have an impact on the performance of radar sensors, encompassing the maximum range for target detection, measurement precision, capability to differentiate between multiple targets, and ability to operate effectively in environments with high levels of noise. This paper presents the design of a 45 nm complementary metal-oxide-semiconductor (CMOS) low noise amplifier (LNA) for a mmWave Ka-band wireless transceiver for radar sensors. The LNA was designed to operate at 0.6V and 700 μA for low power consumption. The LNA consists of an inductive degenerated common source (CS) and a common gate (CG) diode-connected load. The LNA achieves a power gain of 31.19 dB and a noise figure (NF) of 0.133 dB at 30 GHz consuming 0.42 mW of power.","PeriodicalId":51314,"journal":{"name":"Big Data","volume":null,"pages":null},"PeriodicalIF":4.6,"publicationDate":"2023-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79166773","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Design and Construction of a Web-Based Communication Interface for Home Automation 基于web的家庭自动化通信接口的设计与实现

IF 4.6 4区计算机科学

Big Data Pub Date : 2023-08-03 DOI: 10.1109/icABCD59051.2023.10220488

Lesetja S. Mabunda, T. S. Hlalele

引用次数: 0

Perception and Expectations of Vote Counting and Validation Systems: A Survey of Electoral Stakeholders 选票计数和确认系统的感知和期望:选举利益相关者的调查

IF 4.6 4区计算机科学

Big Data Pub Date : 2023-08-03 DOI: 10.1109/icABCD59051.2023.10220571

Patrick Mwansa, Boniface Kabaso

{"title":"Perception and Expectations of Vote Counting and Validation Systems: A Survey of Electoral Stakeholders","authors":"Patrick Mwansa, Boniface Kabaso","doi":"10.1109/icABCD59051.2023.10220571","DOIUrl":"https://doi.org/10.1109/icABCD59051.2023.10220571","url":null,"abstract":"Inconsistencies, unclear processes, and procedures in most democratic countries' election management, particularly vote-counting, cause mistrust and dispute in election results. This study explores the perceptions and expectations of electoral stakeholders on vote counting and validation processes in different African countries. Employing thematic analysis and using the Activity Theory as a lens, the research identifies key themes, such as technical aspects, accuracy, speed, efficiency, transparency, security, challenges, improvements, and the roles of observers and Election Management Bodies (EMBs). The findings highlight various challenges, such as poor network coverage, insufficient staff training, and corruption, informing the formation of a requirement specification for vote counting and validation systems. Despite potential drawbacks and challenges associated with technology solutions, the study proposes a set of ideal requirements specifications for an accurate, efficient, transparent, and secure election vote counting and validation process. The study contributes to ongoing discussions on transparency, accessibility, and the use of electronic voting systems to enhance electoral accuracy and integrity. It suggests avenues for future research, including evaluating legal and regulatory frameworks, voter education, technical challenges, and alternative technological approaches to vote counting and validation.","PeriodicalId":51314,"journal":{"name":"Big Data","volume":null,"pages":null},"PeriodicalIF":4.6,"publicationDate":"2023-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89214510","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The Constraints of The Adoption of Gamification for Education and Training in Higher Education Institutions: A Systematic Literature Review 高等院校教育培训采用游戏化的制约因素:系统文献综述

IF 4.6 4区计算机科学

Big Data Pub Date : 2023-08-03 DOI: 10.1109/icABCD59051.2023.10220568

S. Oguta, Akindele Akinyinka, S. Ojo, B. Maake

{"title":"The Constraints of The Adoption of Gamification for Education and Training in Higher Education Institutions: A Systematic Literature Review","authors":"S. Oguta, Akindele Akinyinka, S. Ojo, B. Maake","doi":"10.1109/icABCD59051.2023.10220568","DOIUrl":"https://doi.org/10.1109/icABCD59051.2023.10220568","url":null,"abstract":"Gamification, a concept that describes the use of game design elements in non-game scenarios, inan attempt to induce fun and motivation in non-game scenarios, has found application in a variety of contexts. In education, popular gamification elements that have been introduced to make learning fun includes the use of points, levels, missions, leaderboards, badges, and avatars. New gamification such as the use of social robots is now in vogue. Despite the enormous potential of these gaming concepts, researchers have unearthed some challenges that face the adoption of gamification in educational systems of Higher Education Institutions. In this study's systematic literature review, the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) framework was used to explore the difficulties encountered when using gamification in training and education at colleges and universities and tosuggest potential solutions. Several researches that employed gamification were elicited from databases such as google scholar, Scopus and research gate. The shortcomings encountered during the deployment of gamification in these studies were summarized. The study's findings reveal that he difficulties encountered when adopting gamification in education and training in higher education institutions can be divided into three categories: design concerns, issues with short-term engagement, and problems with user adaptability. Likewise, potential fixes for the issues were mapped out for future designers of educational gamified systems to follow.","PeriodicalId":51314,"journal":{"name":"Big Data","volume":null,"pages":null},"PeriodicalIF":4.6,"publicationDate":"2023-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89522631","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Copyright Page 版权页

IF 4.6 4区计算机科学

Big Data Pub Date : 2023-08-03 DOI: 10.1109/icabcd59051.2023.10220548

引用次数: 0

An Improved Dual-Channel Deep Q-Network Model for Tourism Recommendation. 一种改进的双通道深度Q网络旅游推荐模型。

IF 4.6 4区计算机科学

Big Data Pub Date : 2023-08-01 Epub Date: 2023-03-17 DOI: 10.1089/big.2021.0353

Shengbin Liang, Jiangyong Jin, Jia Ren, Wencai Du, Shenming Qu

{"title":"An Improved Dual-Channel Deep Q-Network Model for Tourism Recommendation.","authors":"Shengbin Liang, Jiangyong Jin, Jia Ren, Wencai Du, Shenming Qu","doi":"10.1089/big.2021.0353","DOIUrl":"10.1089/big.2021.0353","url":null,"abstract":"Tourism recommendation results are affected by many factors. Traditional recommendation methods have problems such as low recommendation accuracy and lack of personalization due to sparse data. This article uses implicit features such as contextual information, time-series travel trajectories, and comment data to address these issues. First, the Long Short-Term Memory (LSTM) network is introduced as the model basis, and deals with the input data of the model such as contextual information, scenic spot information, and tourist comments and so on for feature extraction. Then, the online behavior and long-term interest preference of users are analyzed, using positive feedback and negative feedback mechanism, the Deep Q-Network (DQN) value function of dual-channel mechanism is constructed. Finally, we propose a recommendation strategy, in which, a value evaluation network and a target network are proposed for each agent to learn the optimal strategy. The model is trained on the Yelp, DP, and Tourism datasets covering multiple scenarios to provide users with tourism recommendation services. Compared with baseline models such as Ultra Simplification of Graph Convolutional Networks, DQN, Actor-Critic, and Latent Factor Model, this model has an average increase of 76.61% in accuracy compared with the comparison model, and an average increase of 43.48% in the normalized discounted cumulative gain compared with the baseline model.","PeriodicalId":51314,"journal":{"name":"Big Data","volume":null,"pages":null},"PeriodicalIF":4.6,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9880099","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Analysis of Driving Fatigue Characteristics in Cold and Hypoxia Environment of High-Altitude Areas. 高海拔地区寒冷缺氧环境下驾驶疲劳特性分析。

IF 4.6 4区计算机科学

Big Data Pub Date : 2023-08-01 Epub Date: 2023-05-18 DOI: 10.1089/big.2021.0464

Lin Tian, Jueshuai Li, Yanfei Li

{"title":"Analysis of Driving Fatigue Characteristics in Cold and Hypoxia Environment of High-Altitude Areas.","authors":"Lin Tian, Jueshuai Li, Yanfei Li","doi":"10.1089/big.2021.0464","DOIUrl":"10.1089/big.2021.0464","url":null,"abstract":"The cold and hypoxic environment at high altitudes can easily lead to driving fatigue. For improving highway safety in high-altitude areas, a driver fatigue test is conducted using the Kangtai PM-60A car heart rate and oxygen tester to collect drivers' heart rate oximetry in National Highway 214 in Qinghai Province. Standard deviation (SDNN), mean (M), coefficient of RR (two R heart rate waves), RR interval coefficient of variation (RRVC), and cumulative rate of driving fatigue based on the driver's heart rate RR interval are calculated using SPSS. This study aims to derive degree of driving fatigue (DFD) in high-altitude areas when driving from lower to higher altitude. The analysis shows that the DFD growth trend of different altitude ranges presents an S-shaped curve. The driving fatigue thresholds in the altitude range of 3000-3500, 3500-4000, 4000-4500, and 4500-5000 m are 2.86, 3.82, 4.54, and 10.2, which are significantly higher than that of ordinary roads in plain areas. The start times of severe fatigue in the four altitude ranges are 35, 34, 32, and 25 minutes. The start time of driving fatigue continued to advance with the increase of age, and the DFD continued to increase with the increase of age. Results provide an empirical basis for the design of the horizontal alignment index system and antifatigue strategies to improve highway safety in high-altitude areas.","PeriodicalId":51314,"journal":{"name":"Big Data","volume":null,"pages":null},"PeriodicalIF":4.6,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9880954","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0