2021 4th International Conference on Information and Computer Technologies (ICICT)最新文献_第2页

Digital Knowledge Base for Industrial Augmented Reality Systems Based on Semantic Technologies 基于语义技术的工业增强现实系统数字知识库

2021 4th International Conference on Information and Computer Technologies (ICICT) Pub Date : 2021-03-01 DOI: 10.1109/ICICT52872.2021.00047

Daniel Eckertz, Marius Möller, H. Anacker, R. Dumitrescu

{"title":"Digital Knowledge Base for Industrial Augmented Reality Systems Based on Semantic Technologies","authors":"Daniel Eckertz, Marius Möller, H. Anacker, R. Dumitrescu","doi":"10.1109/ICICT52872.2021.00047","DOIUrl":"https://doi.org/10.1109/ICICT52872.2021.00047","url":null,"abstract":"Augmented Reality is a technology that offers enormous potential in the industry. Due to a lack of expertise, however, companies are facing various challenges in exploiting this potential. This includes the demand-oriented configuration of the AR system. Depending on the planned use case and company-specific influencing factors and general conditions, suitable AR devices are to be identified and functionalities need to be purposefully selected. The necessary knowledge is implicitly available in numerous sources and difficult to access for companies. In the scope of this work, therefore, a machine-readable knowledge base is developed, in which the knowledge relevant for the AR system configuration is consolidated and formalized. Four aspects of knowledge are considered: The AR system structure including technical and functional components; Potential influences through ambient factors; Experience and application knowledge; The specification of specific AR devices. The knowledge base is realized based on the Web Ontology Language (OWL) and thus enables a digital and partially automated processing of the knowledge using software tools and algorithms. In combination with Artificial Intelligence solutions, the developed knowledge base can be transferred to other systems in the future and provide a powerful tool for system configuration.","PeriodicalId":359456,"journal":{"name":"2021 4th International Conference on Information and Computer Technologies (ICICT)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131880478","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

A Personalized Academic Advisory Recommender System (PAARS): A Case Study 个性化学术咨询推荐系统(PAARS):个案研究

2021 4th International Conference on Information and Computer Technologies (ICICT) Pub Date : 2021-03-01 DOI: 10.1109/ICICT52872.2021.00051

Ashrf Althbiti, Shrooq Algarni, Tami Alghamdi, Xiaogang Ma

{"title":"A Personalized Academic Advisory Recommender System (PAARS): A Case Study","authors":"Ashrf Althbiti, Shrooq Algarni, Tami Alghamdi, Xiaogang Ma","doi":"10.1109/ICICT52872.2021.00051","DOIUrl":"https://doi.org/10.1109/ICICT52872.2021.00051","url":null,"abstract":"Recommender systems (RSs) are effective tools to reduce the number of available selections and to expose users to items that meet their needs. RSs predict the preferences of users and generate recommendations based on the interest model of users. RSs have been used in several domains including e-learning and e-library. In particular, collaborative-based filtering (CF) and content-based filtering are the common approaches used to recommend items to users. The development of CF introduces content-based filtering which does not need users' rating for items used to compute the similarity between users or items in CF. Instead, the affinity in content-based filtering RSs is computed based on the provided information of items selected by a user and then make the recommendation accordingly. The traditional system of recommending a list of courses to students is time-consuming, risky, and monotonous work. These drawbacks may negatively affect the students' academic performance and learning experience. While content-based filtering can introduce a solution to automate the process of course selection, this paper introduces a Personalized Academic Advisory Recommender System (PAARS) that recommends a list of courses based on each student's profile and similar students' profiles. The primary data mining technique used to learn profiles for students is a k-nearest neighbors (kNN) classifier. The objectives of this research are twofold. The first is to introduce a model that personalizes the learning process, since each student may have different objectives than other students. The second is to introduce PAARS web-based framework that automates the process of course recommendation. PAARS would help students to enhance their academic performance and improve their level of loyalty to their universities as well.","PeriodicalId":359456,"journal":{"name":"2021 4th International Conference on Information and Computer Technologies (ICICT)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134640774","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

Research on Optimal Design Method of Active Compensation Coil for MEMS Electronic Compass Strong Magnetic Interference MEMS电子罗盘强磁干扰有源补偿线圈优化设计方法研究

2021 4th International Conference on Information and Computer Technologies (ICICT) Pub Date : 2021-03-01 DOI: 10.1109/ICICT52872.2021.00053

Jun Fu, Zhiwen Ning, Yang Chang

引用次数: 0

A Sentiment Analysis and Unsupervised Learning Approach to Digital Violence Against Women: Monterrey Case 基于情感分析和无监督学习的数字暴力侵害妇女行为研究:蒙特雷案例

2021 4th International Conference on Information and Computer Technologies (ICICT) Pub Date : 2021-03-01 DOI: 10.1109/ICICT52872.2021.00011

Gregorio Arturo Reyes González, F. Ortiz

引用次数: 4

Let's DO - Automotive Platform for Interoperability Let's DO——汽车互操作性平台

2021 4th International Conference on Information and Computer Technologies (ICICT) Pub Date : 2021-03-01 DOI: 10.1109/ICICT52872.2021.00054

Reda ElHakim, Ahmed Elqadi, Mahmoud A. Torky, Mahmoud Zayed, Ibrahim Farag, Motaz Agamawi

{"title":"Let's DO - Automotive Platform for Interoperability","authors":"Reda ElHakim, Ahmed Elqadi, Mahmoud A. Torky, Mahmoud Zayed, Ibrahim Farag, Motaz Agamawi","doi":"10.1109/ICICT52872.2021.00054","DOIUrl":"https://doi.org/10.1109/ICICT52872.2021.00054","url":null,"abstract":"Developing automotive software applications is one of the most challenging and time-consuming activities in the automotive product development cycle. As of today, classical automotive software applications communicate exclusively using vehicle-specific communication protocols such as Controller Area Network (CAN) and FlexRay communication buses. Automotive applications communicate using transport layer messages that are defined and configured for each vehicle system (car model). This hard-wired design makes out-of-the box integrations between heterogeneous automotive products virtually impossible. It also renders automotive integration projects to digital world (smart devices, cloud, big data, IoT gadgets) hard to develop and maintain. We present in this paper Let's DO, a novel platform for interoperability and data exchange between different noncoherent products, systems and devices (both automotive and nonautomotive). Let's DO platform abstracts automotive communication protocol messages in a unified message standard transported over IP-based Ethernet networks enabling interoperability, quick prototyping, code reuse, and allowing more agile and efficient automotive software development cycles.","PeriodicalId":359456,"journal":{"name":"2021 4th International Conference on Information and Computer Technologies (ICICT)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124525026","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

A Case Study of Object Recognition from Drone Videos 无人机视频中目标识别的案例研究

2021 4th International Conference on Information and Computer Technologies (ICICT) Pub Date : 2021-03-01 DOI: 10.1109/ICICT52872.2021.00021

Stacy Fortes, R. Kulesza, J. J. Li

引用次数: 3

A learning-based algorithm for fog computing deployment in IoT network 一种基于学习的物联网雾计算部署算法

2021 4th International Conference on Information and Computer Technologies (ICICT) Pub Date : 2021-03-01 DOI: 10.1109/ICICT52872.2021.00041

Meiming Fu, Xiang Wang, Qingyang Liu, Jiayi Liu, Menghan Shao

{"title":"A learning-based algorithm for fog computing deployment in IoT network","authors":"Meiming Fu, Xiang Wang, Qingyang Liu, Jiayi Liu, Menghan Shao","doi":"10.1109/ICICT52872.2021.00041","DOIUrl":"https://doi.org/10.1109/ICICT52872.2021.00041","url":null,"abstract":"The number of connected Internet of Things (IoT) devices has increasing rapidly due to the benefits and various use cases of IoT, which results in network congestion in traditional cloud. Fog computing has been recognized as a promising technology to meet the requirements of IoT devices by bringing computing, storage, and networking resources to the edge of the network. Fog computing is a dispersed architecture consisting of geographically distributed fog nodes. The selection for locations of fog nodes is an essential precondition for fog computing implementation since an effective fog nodes deployment method can reduce the service response time and improve the efficiency of energy consumption. In this work, regarding the space-time characteristics of sensed data of IoT devices, we formulate the fog nodes deployment as an uncertain programming problem with the aim to reduce the energy consumption of the devices. A learning-based algorithm is proposed to solve this problem with neural network embedded to speed up the solving process. Finally, we evaluate the effectiveness of the algorithm by a set of simulations and the results show the advantages of the algorithm compared to other baseline methods.","PeriodicalId":359456,"journal":{"name":"2021 4th International Conference on Information and Computer Technologies (ICICT)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116635207","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

Improve Transparency and Credibility of Students' Educational Records using School Operated Blockchain System 使用学校运营的区块链系统提高学生教育记录的透明度和可信度

2021 4th International Conference on Information and Computer Technologies (ICICT) Pub Date : 2021-03-01 DOI: 10.1109/ICICT52872.2021.00050

Dequn Teng, Tianshuo Yang, Yong Yue, Qiuyue Chen, Xin Huang, Chuanyu Dai

引用次数: 0

ARM and FPGA Heterogeneous Accelerated Processing System Based on HLS and PCIe 基于HLS和PCIe的ARM和FPGA异构加速处理系统

2021 4th International Conference on Information and Computer Technologies (ICICT) Pub Date : 2021-03-01 DOI: 10.1109/ICICT52872.2021.00055

Zhonghao Zhang, Zhengxiang Li

引用次数: 0

Document Analysis and Classification: A Robotic Process Automation (RPA) and Machine Learning Approach 文档分析和分类:机器人过程自动化(RPA)和机器学习方法

2021 4th International Conference on Information and Computer Technologies (ICICT) Pub Date : 2021-03-01 DOI: 10.1109/ICICT52872.2021.00013

A. Baidya

引用次数: 3