Inf. Comput.最新文献_第7页

Polar Codes and a M-ary Modulation-Based OFDM-PLC System 极性码及基于m -调制的OFDM-PLC系统

Inf. Comput. Pub Date : 2023-06-25 DOI: 10.3390/info14070360

Ziyi Wang, Yichen Wang, R. Chen

引用次数: 0

INSUS: Indoor Navigation System Using Unity and Smartphone for User Ambulation Assistance INSUS:使用Unity和智能手机辅助用户行走的室内导航系统

Inf. Comput. Pub Date : 2023-06-24 DOI: 10.3390/info14070359

Evianita Dewi Fajrianti, N. Funabiki, S. Sukaridhoto, Y. Panduman, Dezheng Kong, Shihao Fang, Anak Agung Surya Pradhana

{"title":"INSUS: Indoor Navigation System Using Unity and Smartphone for User Ambulation Assistance","authors":"Evianita Dewi Fajrianti, N. Funabiki, S. Sukaridhoto, Y. Panduman, Dezheng Kong, Shihao Fang, Anak Agung Surya Pradhana","doi":"10.3390/info14070359","DOIUrl":"https://doi.org/10.3390/info14070359","url":null,"abstract":"Currently, outdoor navigation systems have widely been used around the world on smartphones. They rely on GPS (Global Positioning System). However, indoor navigation systems are still under development due to the complex structure of indoor environments, including multiple floors, many rooms, steps, and elevators. In this paper, we present the design and implementation of the Indoor Navigation System using Unity and Smartphone (INSUS). INSUS shows the arrow of the moving direction on the camera view based on a smartphone’s augmented reality (AR) technology. To trace the user location, it utilizes the Simultaneous Localization and Mapping (SLAM) technique with a gyroscope and a camera in a smartphone to track users’ movements inside a building after initializing the current location by the QR code. Unity is introduced to obtain the 3D information of the target indoor environment for Visual SLAM. The data are stored in the IoT application server called SEMAR for visualizations. We implement a prototype system of INSUS inside buildings in two universities. We found that scanning QR codes with the smartphone perpendicular in angle between 60∘ and 100∘ achieves the highest QR code detection accuracy. We also found that the phone’s tilt angles influence the navigation success rate, with 90∘ to 100∘ tilt angles giving better navigation success compared to lower tilt angles. INSUS also proved to be a robust navigation system, evidenced by near identical navigation success rate results in navigation scenarios with or without disturbance. Furthermore, based on the questionnaire responses from the respondents, it was generally found that INSUS received positive feedback and there is support to improve the system.","PeriodicalId":13622,"journal":{"name":"Inf. Comput.","volume":"30 1","pages":"359"},"PeriodicalIF":0.0,"publicationDate":"2023-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83528790","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

Measurement of Music Aesthetics Using Deep Neural Networks and Dissonances 用深度神经网络和不协和音测量音乐美学

Inf. Comput. Pub Date : 2023-06-24 DOI: 10.3390/info14070358

Razvan Paroiu, Stefan Trausan-Matu

{"title":"Measurement of Music Aesthetics Using Deep Neural Networks and Dissonances","authors":"Razvan Paroiu, Stefan Trausan-Matu","doi":"10.3390/info14070358","DOIUrl":"https://doi.org/10.3390/info14070358","url":null,"abstract":"In this paper, a new method that computes the aesthetics of a melody fragment is proposed, starting from dissonances. While music generated with artificial intelligence applications may be produced considerably more quickly than human-composed music, it has the drawback of not being appreciated like a human composition, being many times perceived by humans as artificial. For achieving supervised machine learning objectives of improving the quality of the great number of generated melodies, it is a challenge to ask humans to grade them. Therefore, it would be preferable if the aesthetics of artificial-intelligence-generated music is calculated by an algorithm. The proposed method in this paper is based on a neural network and a mathematical formula, which has been developed with the help of a study in which 108 students evaluated the aesthetics of several melodies. For evaluation, numerical values generated by this method were compared with ratings provided by human listeners from a second study in which 30 students participated and scores were generated by an existing different method developed by psychologists and three other methods developed by musicians. Our method achieved a Pearson correlation of 0.49 with human aesthetic scores, which is a much better result than other methods obtained. Additionally, our method made a distinction between human-composed melodies and artificial-intelligence-generated scores in the same way that human listeners did.","PeriodicalId":13622,"journal":{"name":"Inf. Comput.","volume":"1 1","pages":"358"},"PeriodicalIF":0.0,"publicationDate":"2023-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83039248","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

Multi-Criteria Decision-Making in Public Procurement: An Empirical Study of Contractor Selection for Landslide Rehabilitation 公共采购中的多准则决策:滑坡治理工程承包商选择的实证研究

Inf. Comput. Pub Date : 2023-06-24 DOI: 10.3390/info14070357

Anđelka Štilić, A. Puška, Darko Božanić, Duško Tešić

{"title":"Multi-Criteria Decision-Making in Public Procurement: An Empirical Study of Contractor Selection for Landslide Rehabilitation","authors":"Anđelka Štilić, A. Puška, Darko Božanić, Duško Tešić","doi":"10.3390/info14070357","DOIUrl":"https://doi.org/10.3390/info14070357","url":null,"abstract":"When carrying out construction work, identifying the best contractor is a critical component of the project life cycle in the construction industry. The investor must use effective and efficient strategies to create a competitive bidding environment in public projects. The research presented in this paper was conducted to demonstrate the competitive nature of public procurements, where contractors compete to present the best bid and win the contract. To award the contract, the best offer must be selected. Based on different strategies and multi-criteria decision-making approaches this study proposes a method for identifying the most suitable strategy out of eight bidding strategies on four different lots, resulting in the most suitable one for landslide rehabilitation in the Brčko district. The results reveal the optimal approach to follow to minimize time and financial losses in the case of landslide rehabilitation during periods of market instability. Such research findings validate the efficiency of the bidding strategies-based decision-making support. The proposed method allows for compromise on both the completion date and the lowest bid made by the winning contractor.","PeriodicalId":13622,"journal":{"name":"Inf. Comput.","volume":"3 1","pages":"357"},"PeriodicalIF":0.0,"publicationDate":"2023-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82465086","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

Mapping Metaverse Research: Identifying Future Research Areas Based on Bibliometric and Topic Modeling Techniques 映射元宇宙研究:基于文献计量学和主题建模技术确定未来的研究领域

Inf. Comput. Pub Date : 2023-06-22 DOI: 10.3390/info14070356

Abderahman Rejeb, Karim Rejeb, Horst Treiblmaier

{"title":"Mapping Metaverse Research: Identifying Future Research Areas Based on Bibliometric and Topic Modeling Techniques","authors":"Abderahman Rejeb, Karim Rejeb, Horst Treiblmaier","doi":"10.3390/info14070356","DOIUrl":"https://doi.org/10.3390/info14070356","url":null,"abstract":"The metaverse represents an immersive digital environment that has garnered significant attention as a result of its potential to revolutionize various industry sectors and its profound societal impact. While academic interest in the metaverse has surged, a dearth of comprehensive review articles employing bibliometric techniques remains. This study seeks to address this gap by analyzing 595 metaverse-related journal articles using bibliometric and topic modeling techniques, marking the first of its kind to investigate the bibliometric profile of metaverse research. The findings reveal exponential growth in metaverse research since 2020, identifying major trends, prolific authors, and the most active journals in the field. A keyword co-occurrence analysis further uncovers four significant clusters of metaverse-related interests, highlighting its unique facets and underscoring its far-reaching implications across various sectors, including education, healthcare, retail, and tourism. This study emphasizes the need for more research and collaboration in advancing the metaverse field and presents 27 research questions for future investigation. This comprehensive analysis serves as a foundation for understanding the current state of metaverse research and its potential trajectory.","PeriodicalId":13622,"journal":{"name":"Inf. Comput.","volume":"40 1","pages":"356"},"PeriodicalIF":0.0,"publicationDate":"2023-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90099722","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: 3

AI-Based Smart Sensing and AR for Gait Rehabilitation Assessment 基于人工智能的智能传感和AR步态康复评估

Inf. Comput. Pub Date : 2023-06-22 DOI: 10.3390/info14070355

João Monge, Gonçalo Ribeiro, A. Raimundo, O. Postolache, Joel Santos

{"title":"AI-Based Smart Sensing and AR for Gait Rehabilitation Assessment","authors":"João Monge, Gonçalo Ribeiro, A. Raimundo, O. Postolache, Joel Santos","doi":"10.3390/info14070355","DOIUrl":"https://doi.org/10.3390/info14070355","url":null,"abstract":"Health monitoring is crucial in hospitals and rehabilitation centers. Challenges can affect the reliability and accuracy of health data. Human error, patient compliance concerns, time, money, technology, and environmental factors might cause these issues. In order to improve patient care, healthcare providers must address these challenges. We propose a non-intrusive smart sensing system that uses a SensFloor smart carpet and an inertial measurement unit (IMU) wearable sensor on the user’s back to monitor position and gait characteristics. Furthermore, we implemented machine learning (ML) algorithms to analyze the data collected from the SensFloor and IMU sensors. The system generates real-time data that are stored in the cloud and are accessible to physical therapists and patients. Additionally, the system’s real-time dashboards provide a comprehensive analysis of the user’s gait and balance, enabling personalized training plans with tailored exercises and better rehabilitation outcomes. Using non-invasive smart sensing technology, our proposed solution enables healthcare facilities to monitor patients’ health and enhance their physical rehabilitation plans.","PeriodicalId":13622,"journal":{"name":"Inf. Comput.","volume":"31 4","pages":"355"},"PeriodicalIF":0.0,"publicationDate":"2023-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72626622","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

"Who Should I Trust with My Data?" Ethical and Legal Challenges for Innovation in New Decentralized Data Management Technologies “我应该把我的数据托付给谁?”新的分散数据管理技术创新的伦理和法律挑战

Inf. Comput. Pub Date : 2023-06-21 DOI: 10.3390/info14070351

Haleh Asgarinia, Andrés Chomczyk Penedo, Beatriz Esteves, David Bruce Lewis

引用次数: 0

Mind the Move: Developing a Brain-Computer Interface Game with Left-Right Motor Imagery 注意移动:用左右运动图像开发脑机接口游戏

Inf. Comput. Pub Date : 2023-06-21 DOI: 10.3390/info14070354

Georgios Prapas, Kosmas Glavas, Katerina D. Tzimourta, A. Tzallas, M. Tsipouras

引用次数: 0

Spatial Knowledge Acquisition for Pedestrian Navigation: A Comparative Study between Smartphones and AR Glasses 行人导航的空间知识获取:智能手机与AR眼镜的比较研究

Inf. Comput. Pub Date : 2023-06-21 DOI: 10.3390/info14070353

Aymen Lakehal, S. Lepreux, Christos Efstratiou, C. Kolski, Pavlos Nicolaou

引用次数: 0

Ensemble System of Deep Neural Networks for Single-Channel Audio Separation 用于单通道音频分离的深度神经网络集成系统

Inf. Comput. Pub Date : 2023-06-21 DOI: 10.3390/info14070352

Musab T. S. Al-Kaltakchi, Ahmad Saeed Mohammad, W. Woo

{"title":"Ensemble System of Deep Neural Networks for Single-Channel Audio Separation","authors":"Musab T. S. Al-Kaltakchi, Ahmad Saeed Mohammad, W. Woo","doi":"10.3390/info14070352","DOIUrl":"https://doi.org/10.3390/info14070352","url":null,"abstract":"Speech separation is a well-known problem, especially when there is only one sound mixture available. Estimating the Ideal Binary Mask (IBM) is one solution to this problem. Recent research has focused on the supervised classification approach. The challenge of extracting features from the sources is critical for this method. Speech separation has been accomplished by using a variety of feature extraction models. The majority of them, however, are concentrated on a single feature. The complementary nature of various features have not been thoroughly investigated. In this paper, we propose a deep neural network (DNN) ensemble architecture to completely explore the complimentary nature of the diverse features obtained from raw acoustic features. We examined the penultimate discriminative representations instead of employing the features acquired from the output layer. The learned representations were also fused to produce a new features vector, which was then classified by using the Extreme Learning Machine (ELM). In addition, a genetic algorithm (GA) was created to optimize the parameters globally. The results of the experiments showed that our proposed system completely considered various features and produced a high-quality IBM under different conditions.","PeriodicalId":13622,"journal":{"name":"Inf. Comput.","volume":"1 1","pages":"352"},"PeriodicalIF":0.0,"publicationDate":"2023-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89763307","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