2021 IEEE 21st International Symposium on Computational Intelligence and Informatics (CINTI)最新文献

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3D Registration of Multiple RGB-D Cameras on Arbitrary Position of a Symmetric Object with No Overlapping in a Meat Factory Environment 肉厂环境中多个RGB-D相机在对称物体任意位置无重叠的三维配准
I. de Medeiros Esper, L. E. Cordova-Lopez, P. From, A. Mason
{"title":"3D Registration of Multiple RGB-D Cameras on Arbitrary Position of a Symmetric Object with No Overlapping in a Meat Factory Environment","authors":"I. de Medeiros Esper, L. E. Cordova-Lopez, P. From, A. Mason","doi":"10.1109/CINTI53070.2021.9668600","DOIUrl":"https://doi.org/10.1109/CINTI53070.2021.9668600","url":null,"abstract":"This paper presents work relating to the reconstruction of 3D point clouds taken from cameras placed arbitrarily in pairs on either side of an object (a pig carcass in this specific use-case). This poses a challenge for complete object reconstruction since the two sides or halves of the object have little or no overlap and high degree of symmetry. The investigation was part of a data collection inside slaughterhouses for a meat factory cell concept development, where the production line cannot be stopped to perform calibration of the cameras. In addition, the footprint should be small, and the cameras' lenses protected and easy to clean. This work presents the method, or pipeline, used to overcome this challenge along with the performance of the pipeline by comparing real-world and point cloud distance measurements.","PeriodicalId":340545,"journal":{"name":"2021 IEEE 21st International Symposium on Computational Intelligence and Informatics (CINTI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129923727","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
Effective ECG data conversion solution to solve ECG data interoperability problems 有效的心电数据转换方案,解决心电数据互操作性问题
Abdallah Benhamida, Ghaith Slimani, M. Kucarov, Mera Abbassi, Eszter Koroknai, Anikó Szarvák, Melvin Ogbolu, Miklós Vincze, M. Kozlovszky
{"title":"Effective ECG data conversion solution to solve ECG data interoperability problems","authors":"Abdallah Benhamida, Ghaith Slimani, M. Kucarov, Mera Abbassi, Eszter Koroknai, Anikó Szarvák, Melvin Ogbolu, Miklós Vincze, M. Kozlovszky","doi":"10.1109/CINTI53070.2021.9668375","DOIUrl":"https://doi.org/10.1109/CINTI53070.2021.9668375","url":null,"abstract":"ECG graphs show the electrical activity of the heart in function of time. It helps doctors to better understand the actual heart activity of the patient. Before the use of computers in the medical field, the ECG was printed and analyzed on a paper format. Nowadays medical data is archived in digital format and many data formats for ECG data storage are available. The many formats present an important problem of interoperability and compatibility between different data representations. A new technique to solve the interoperability issue and furthermore to store even stream-like ECG data became a necessity to assure better service quality of hospitals and to ensure smooth transition between different formats. This paper proposes a new (working and tested) solution for ECG data conversion, using an intermediate JSON format designed especially for ECG data, from/to SCP-ECG, DICOM-ECG, and HL7 aECG.","PeriodicalId":340545,"journal":{"name":"2021 IEEE 21st International Symposium on Computational Intelligence and Informatics (CINTI)","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114722942","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
Integration and Testing of Novel MOX Gas Sensors for IoT-based Indoor Air Quality Monitoring 基于物联网的室内空气质量监测新型MOX气体传感器集成与测试
Mohammed Faeik Ruzaij AI-Okby, S. Neubert, T. Roddelkopf, K. Thurow
{"title":"Integration and Testing of Novel MOX Gas Sensors for IoT-based Indoor Air Quality Monitoring","authors":"Mohammed Faeik Ruzaij AI-Okby, S. Neubert, T. Roddelkopf, K. Thurow","doi":"10.1109/CINTI53070.2021.9668462","DOIUrl":"https://doi.org/10.1109/CINTI53070.2021.9668462","url":null,"abstract":"The occurrence of hazardous gases and toxic or harmful vapors in laboratories, factories, and chemical warehouses requires a fast detection of leakage accidents to avoid health impairments. In this paper, the integration and validation of two novel metal oxide gas sensors (MOX) for the application in an IoT-based air quality monitoring and the alarming system is proposed. The sensors are combined with WeMos D1 Mini IoT-based microcontroller for data processing and transmitting via Wi-Fi communication protocol. The system design takes into consideration the low-cost, light-weight, small-size, and low power consumption concepts to enable a portable compact system that can be operated stand-alone or easily be adapted to any stationary or mobile robotic platform. The system was tested with several volatile organic materials (VOCs). The acquired air quality data are transferred to an IoT cloud, where the data are stored in a database for further analysis and research. Further, the data can be directly monitored on a PC, tablet, and smartphone. The system testing results confirm that the system can be used efficiently in laboratory environments.","PeriodicalId":340545,"journal":{"name":"2021 IEEE 21st International Symposium on Computational Intelligence and Informatics (CINTI)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130338462","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: 8
5G revolution: Challenges and opportunities 5G革命:挑战与机遇
Nguyen Huu Phuoc Dai, Lourdes Ruiz, Rajnai Zoltán
{"title":"5G revolution: Challenges and opportunities","authors":"Nguyen Huu Phuoc Dai, Lourdes Ruiz, Rajnai Zoltán","doi":"10.1109/CINTI53070.2021.9668550","DOIUrl":"https://doi.org/10.1109/CINTI53070.2021.9668550","url":null,"abstract":"5G stands for the fifth and the latest generation in wireless networks. It offers three main technological advances compared to the previous standards: more speed network, reduced latency, and higher bandwidth. These improvements bring many applications in different industries such as manufacturing, healthcare, transportation, and more. However, it also faces various issues regarding spectrum, deployment, and security. This paper aims to provide an updated overview of this technology, the opportunities, and challenges to raise awareness and educate about the 5G revolution.","PeriodicalId":340545,"journal":{"name":"2021 IEEE 21st International Symposium on Computational Intelligence and Informatics (CINTI)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126136129","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: 5
IoT Based Library Management Automation System Using RFID 基于物联网的RFID图书馆管理自动化系统
F. Basçiftçi, L. M. Bokiye
{"title":"IoT Based Library Management Automation System Using RFID","authors":"F. Basçiftçi, L. M. Bokiye","doi":"10.1109/CINTI53070.2021.9668584","DOIUrl":"https://doi.org/10.1109/CINTI53070.2021.9668584","url":null,"abstract":"Nowadays our life is becoming smart and simple with the help of smart and intelligent systems. The Internet of Things concept is enabling most digital devices to work cooperatively. In this article, we proposed a Library Management Automation system that is based on the Radio Frequency Identification (RFID) technology. The books and Students ID have RFID tags that are attached to them and hold information about books and students respectively. RFID readers used to read RFID tags attached to the books and students' IDs to do all tasks like the efficient and proper theft-controlled operation of libraries. This system will be connected to an RFID reader and printer. The main task of this system is to make work easy for users and librarians. Moreover, this system will be more user-friendly and easy. The proposed system reduces time and labor approximately from 70-80% after implementation.","PeriodicalId":340545,"journal":{"name":"2021 IEEE 21st International Symposium on Computational Intelligence and Informatics (CINTI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130109799","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
Better understandability of prediction models: a case study for data-based road safety management system 提高预测模型的可理解性:基于数据的道路安全管理系统案例研究
Viera Anderková, F. Babič
{"title":"Better understandability of prediction models: a case study for data-based road safety management system","authors":"Viera Anderková, F. Babič","doi":"10.1109/CINTI53070.2021.9668314","DOIUrl":"https://doi.org/10.1109/CINTI53070.2021.9668314","url":null,"abstract":"The road safety management system aims to ensure a safe transport system for all road users. Analyses of data about traffic accidents can provide important knowledge to support relevant decision-makers or processes. This fact motivated our case study covering the analytical process over publicly available data about traffic accidents in England, Scotland, and Wales. Based on our previous experience with this dataset, we aimed not on the prediction models and their accuracy, but on their explanations for the end-users with limited knowledge from data mining, machine learning, or artificial intelligence. For this purpose, we improved the generated decision models with selected explainable methods like The Local Interpretable Model-Agnostic Explanation (LIME) and SHap Additive exPlanations (SHAP) values. The final visualizations show which attributes and to what extent they contribute to each type of accident.","PeriodicalId":340545,"journal":{"name":"2021 IEEE 21st International Symposium on Computational Intelligence and Informatics (CINTI)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125569112","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
Optimized Class Decomposition for Fault Detection 面向故障检测的优化类分解
S. Karakatič, D. Fister, Ömer Faruk Beyca, Iztok Fister
{"title":"Optimized Class Decomposition for Fault Detection","authors":"S. Karakatič, D. Fister, Ömer Faruk Beyca, Iztok Fister","doi":"10.1109/CINTI53070.2021.9668488","DOIUrl":"https://doi.org/10.1109/CINTI53070.2021.9668488","url":null,"abstract":"The paper proposes an innovative approach in solving the fault detection problem of sewerage treatment plant machinery. The proposed approach treats the fault detection data with the class decomposition problem, ensuring that a classification algorithm overlooks no disjunct instances. As the class decomposition technique requires heavy customization to each class of instances in every data set, Grey Wolf Optimizer is used to determine the appropriate clustering method with the appropriate setting for each class of instances. The proposed approach is tested on real-life sensor data from a sewerage treatment plant, and the results show that here proposed approach overshadows several manually proposed class decomposition methods.","PeriodicalId":340545,"journal":{"name":"2021 IEEE 21st International Symposium on Computational Intelligence and Informatics (CINTI)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116862080","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
Validation of a Self-developed Algorithm for Solving Inverse Problems on Impedance Networks 一种自行开发的求解阻抗网络逆问题算法的验证
Zoltán Vízvári, Nina Gyorfi, Mihály Klincsik, Zoltan Sári, Attila Tóth, P. Odry
{"title":"Validation of a Self-developed Algorithm for Solving Inverse Problems on Impedance Networks","authors":"Zoltán Vízvári, Nina Gyorfi, Mihály Klincsik, Zoltan Sári, Attila Tóth, P. Odry","doi":"10.1109/CINTI53070.2021.9668551","DOIUrl":"https://doi.org/10.1109/CINTI53070.2021.9668551","url":null,"abstract":"Our research group examines a new aspect of the implementation of the Electrical Impedance Tomography (EIT) inverse problem solving method. As a result, the investigated material, which can be considered a continuum, is modeled as a linear network with concentrated parameters. In this article we managed to generalize the mathematical model that it also takes into account the dielectric constant of the material (the pair of concentrated parameters, i.e. the capacity). Thus, despite a significant increase in the number of unknowns in the model, we created an opportunity to apply a multi-frequency approach, as a result of which the optimized system of equations always remains overdetermined. After defining the mathematical model, for its validation, we created a physical model in order to reconstruct the resistance and capacitor values placed on the branches of the graph within their tolerance.","PeriodicalId":340545,"journal":{"name":"2021 IEEE 21st International Symposium on Computational Intelligence and Informatics (CINTI)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115891280","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
Clustering of Business Organisations based on Textual Data - An LDA Topic Modeling Approach 基于文本数据的商业组织聚类——一种LDA主题建模方法
Ferenc Tolner, M. Takács, G. Eigner, Balázs Barta
{"title":"Clustering of Business Organisations based on Textual Data - An LDA Topic Modeling Approach","authors":"Ferenc Tolner, M. Takács, G. Eigner, Balázs Barta","doi":"10.1109/CINTI53070.2021.9668337","DOIUrl":"https://doi.org/10.1109/CINTI53070.2021.9668337","url":null,"abstract":"Textual data provides a new perspective and a huge potential with additional information in analysing and segmenting business organisations. Statistical “hard data” is often too general or even misleading and might be affected by several exogenous and endogenous factors while questionnaire or survey related “soft data” is hardly available or can be biased by the interviewees position in the organisation or by its own personal orientation. On the other hand, besides the aforementioned information sources business organisations, education- and research institutions etc. provide many times textual data on themselves as well, that can further contribute to the understanding of the investigated population. In this paper a topic modeling of 51 Central European business-, educational- and research organisation has been performed by Latent Dirichlet Allocation (LDA). The investigated organisations were partakers of an online survey where their textual organisational descriptions were collected together with basic geographical and industry related data. Based on the result a grouping of the stakeholders has been implemented and an LDA based methodology has been tested in order to further support cluster-forming efforts of business- and other type of organisations within the Central European region.","PeriodicalId":340545,"journal":{"name":"2021 IEEE 21st International Symposium on Computational Intelligence and Informatics (CINTI)","volume":"55 6","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113938705","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
Bacterial Evolutionary Algorithm-based Feature Selection for Word Sentiment Interpolation in Hungarian Language 基于细菌进化算法的匈牙利语词情感插值特征选择
Bálint Tamás Rozgonyi, Natabara Máté Gyöngyössy, Beáta Korcsok, J. Botzheim
{"title":"Bacterial Evolutionary Algorithm-based Feature Selection for Word Sentiment Interpolation in Hungarian Language","authors":"Bálint Tamás Rozgonyi, Natabara Máté Gyöngyössy, Beáta Korcsok, J. Botzheim","doi":"10.1109/CINTI53070.2021.9668426","DOIUrl":"https://doi.org/10.1109/CINTI53070.2021.9668426","url":null,"abstract":"With the advancement of social artificial agents the need for correct understanding of sentiment is growing. In this paper we propose a method for building a context-less word-level emotional model of words in the Hungarian language based on Russell's Circumpex model of affect. By utilizing Bacterial Evo-lutionary Algorithm for feature selection, a method for efficient web-based annotation is proposed. Using the latent information of word embeddings multi-layer perceptron networks are trained to realize an interpolative function of two-dimensional emotion vectors over the embedding space. Dimensionality reduction via correlation analysis is also discussed.","PeriodicalId":340545,"journal":{"name":"2021 IEEE 21st International Symposium on Computational Intelligence and Informatics (CINTI)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133455173","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
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