Pub Date : 2022-09-23DOI: 10.1109/SEEDA-CECNSM57760.2022.9932920
Aris Magklaras, Christos G Gogos, Panagiotis Alefragis, Christos Valouxis, A. Birbas
Photolithography process is one of the most critical in the semiconductor industry since it drives the Moore’s law and the advances in microelectronics in general. Hard constraints on precision, throughput and image quality require software control algorithms and high precision measurements. In such strict environment and requirements, where quality and performance goals need to be met, the optimal design of the measurements is more than necessary. In this paper we propose an Optimal Design of Experiments Algorithm that will enable the process to be able to obtain G-optimal result in a highly competitive time fraction that will ensure at the same time the throughput optimality of the photolithography machines.
{"title":"Sampling Points Selection Algorithm For Advanced Photolithography Process","authors":"Aris Magklaras, Christos G Gogos, Panagiotis Alefragis, Christos Valouxis, A. Birbas","doi":"10.1109/SEEDA-CECNSM57760.2022.9932920","DOIUrl":"https://doi.org/10.1109/SEEDA-CECNSM57760.2022.9932920","url":null,"abstract":"Photolithography process is one of the most critical in the semiconductor industry since it drives the Moore’s law and the advances in microelectronics in general. Hard constraints on precision, throughput and image quality require software control algorithms and high precision measurements. In such strict environment and requirements, where quality and performance goals need to be met, the optimal design of the measurements is more than necessary. In this paper we propose an Optimal Design of Experiments Algorithm that will enable the process to be able to obtain G-optimal result in a highly competitive time fraction that will ensure at the same time the throughput optimality of the photolithography machines.","PeriodicalId":68279,"journal":{"name":"计算机工程与设计","volume":"147 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2022-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80370791","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}
Pub Date : 2022-09-23DOI: 10.1109/SEEDA-CECNSM57760.2022.9933012
Christos N. Karras, Aristeidis Karras, I. Giannoukou, K. Giotopoulos, D. Tsolis, S. Sioutas
In this paper, the concepts and techniques for global graph clustering are examined, or the process of locating related clusters of vertices within a graph. We introduce the construction of a graph clustering technique based on an eigenvector embedding and a local graph clustering method based on stochastic exploration of the graph. Then, the developed implementations of both methods are presented and assessed in terms of performance. In addition, the difficulties associated with assessing clusterings and benchmarking cluster algorithms are explored where PageRank and EigEmbed algorithms are utilized. The experiments show that the EigEmbed outperformed PageRank across all experiments as it detected more communities with the same number of clusters. Ultimately, we apply both algorithms to a real-world graph representing Twitter network and the followers and tweets therein.
{"title":"Global Graph Clustering and Local Graph Exploration for Community Detection in Twitter","authors":"Christos N. Karras, Aristeidis Karras, I. Giannoukou, K. Giotopoulos, D. Tsolis, S. Sioutas","doi":"10.1109/SEEDA-CECNSM57760.2022.9933012","DOIUrl":"https://doi.org/10.1109/SEEDA-CECNSM57760.2022.9933012","url":null,"abstract":"In this paper, the concepts and techniques for global graph clustering are examined, or the process of locating related clusters of vertices within a graph. We introduce the construction of a graph clustering technique based on an eigenvector embedding and a local graph clustering method based on stochastic exploration of the graph. Then, the developed implementations of both methods are presented and assessed in terms of performance. In addition, the difficulties associated with assessing clusterings and benchmarking cluster algorithms are explored where PageRank and EigEmbed algorithms are utilized. The experiments show that the EigEmbed outperformed PageRank across all experiments as it detected more communities with the same number of clusters. Ultimately, we apply both algorithms to a real-world graph representing Twitter network and the followers and tweets therein.","PeriodicalId":68279,"journal":{"name":"计算机工程与设计","volume":"31 1","pages":"1-8"},"PeriodicalIF":0.0,"publicationDate":"2022-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82909143","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}
Pub Date : 2022-09-23DOI: 10.1109/SEEDA-CECNSM57760.2022.9932934
D. Amanatidis, Kyriakos Kydoniefs, Michael F. Dossis
The present work aims to lay the foundations for the development of a modern web database application for storage, retrieval, manipulation and visualisation of biological data. The application also offers a data compression service. Although the set of operational requirements will initially be small, the goal is to implement the application following a modern software development methodology, to design with a modern architecture and to rely on a modern stack of technologies, so that our application is easily maintainable and scalable in the future. The latest design patterns will be used in the construction of the application, such as microservices, the model-view-controller technique and three-tier architecture. In the above context, a prototype of the application will be developed, initially in a local development environment, but with the prospect that it will be transferred in the future to a hosting environment so that it is accessible to all.
{"title":"A gene visualising database","authors":"D. Amanatidis, Kyriakos Kydoniefs, Michael F. Dossis","doi":"10.1109/SEEDA-CECNSM57760.2022.9932934","DOIUrl":"https://doi.org/10.1109/SEEDA-CECNSM57760.2022.9932934","url":null,"abstract":"The present work aims to lay the foundations for the development of a modern web database application for storage, retrieval, manipulation and visualisation of biological data. The application also offers a data compression service. Although the set of operational requirements will initially be small, the goal is to implement the application following a modern software development methodology, to design with a modern architecture and to rely on a modern stack of technologies, so that our application is easily maintainable and scalable in the future. The latest design patterns will be used in the construction of the application, such as microservices, the model-view-controller technique and three-tier architecture. In the above context, a prototype of the application will be developed, initially in a local development environment, but with the prospect that it will be transferred in the future to a hosting environment so that it is accessible to all.","PeriodicalId":68279,"journal":{"name":"计算机工程与设计","volume":"51 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2022-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76602334","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}
Pub Date : 2022-09-23DOI: 10.1109/SEEDA-CECNSM57760.2022.9932975
Athanasios T. Patenidis, Eirini E. Mitsopoulou, K. Votis, D. Tzovaras
Gait analysis is a methodical study of how people move that can be applied to a range of settings, including sports, rehabilitation and clinical diagnosis. This paper describes a system for tracking the kinetic rehabilitation of hemiplegic patients with a combined use of gait analysis system and wearable devices. The concept is focused on training and extracting individualized knowledge from an intelligent information system during the patient’s stay in the rehabilitation facility. This knowledge can be utilized so that the patient may self-manage their rehabilitation regimen and monitor the improvement of their condition in their own place. Medical experts will then be able to monitor patients’ progress through a cloud-based platform.
{"title":"ISOMETRIC: An Intelligent System of Outpatient Monitoring Evaluation Towards Rehabilitation In Cloud","authors":"Athanasios T. Patenidis, Eirini E. Mitsopoulou, K. Votis, D. Tzovaras","doi":"10.1109/SEEDA-CECNSM57760.2022.9932975","DOIUrl":"https://doi.org/10.1109/SEEDA-CECNSM57760.2022.9932975","url":null,"abstract":"Gait analysis is a methodical study of how people move that can be applied to a range of settings, including sports, rehabilitation and clinical diagnosis. This paper describes a system for tracking the kinetic rehabilitation of hemiplegic patients with a combined use of gait analysis system and wearable devices. The concept is focused on training and extracting individualized knowledge from an intelligent information system during the patient’s stay in the rehabilitation facility. This knowledge can be utilized so that the patient may self-manage their rehabilitation regimen and monitor the improvement of their condition in their own place. Medical experts will then be able to monitor patients’ progress through a cloud-based platform.","PeriodicalId":68279,"journal":{"name":"计算机工程与设计","volume":"11 14 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2022-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79108185","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}
Pub Date : 2022-09-23DOI: 10.1109/SEEDA-CECNSM57760.2022.9932946
Angelos Dimitsas, V. Nastos, Christos Valouxis, Christos G Gogos
The scheduling community has long been interested in educational timetabling. Particularly in academia, since timetabling dictates the day to day operation of Universities, great effort has been exercised to produce high quality schedules. Typically, timetabling problems are NP-Hard and several approaches have been tried in order to generate schedules that satisfy all stakeholders. A number of timetabling competitions have been organized through the last two decades focusing on problems stemming from educational operations. In this paper we use data from two such competitions, ITC2002 and ITC2007 about the post enrollment course timetabling problem. We propose a mathematical model that captures the problem in its entirety and we use it in order to construct feasible solutions initially, and then explore the prospect of optimization. We employ a pre-process stage that attempts to reduce the size of the model and then use an open source solver, that produces solutions in reasonable time for most of the cases. We also propose a simple decomposition of the problem in a day by day basis that can improve the initial feasible solutions.
{"title":"A mathematical formulation for constructing feasible solutions for the Post Enrollment Course Timetabling Problem","authors":"Angelos Dimitsas, V. Nastos, Christos Valouxis, Christos G Gogos","doi":"10.1109/SEEDA-CECNSM57760.2022.9932946","DOIUrl":"https://doi.org/10.1109/SEEDA-CECNSM57760.2022.9932946","url":null,"abstract":"The scheduling community has long been interested in educational timetabling. Particularly in academia, since timetabling dictates the day to day operation of Universities, great effort has been exercised to produce high quality schedules. Typically, timetabling problems are NP-Hard and several approaches have been tried in order to generate schedules that satisfy all stakeholders. A number of timetabling competitions have been organized through the last two decades focusing on problems stemming from educational operations. In this paper we use data from two such competitions, ITC2002 and ITC2007 about the post enrollment course timetabling problem. We propose a mathematical model that captures the problem in its entirety and we use it in order to construct feasible solutions initially, and then explore the prospect of optimization. We employ a pre-process stage that attempts to reduce the size of the model and then use an open source solver, that produces solutions in reasonable time for most of the cases. We also propose a simple decomposition of the problem in a day by day basis that can improve the initial feasible solutions.","PeriodicalId":68279,"journal":{"name":"计算机工程与设计","volume":"75 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2022-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87056722","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}
Pub Date : 2022-09-23DOI: 10.1109/SEEDA-CECNSM57760.2022.9932947
Vasileios Karaiskos, N. Zinas, Theodosios Gkamas, I. Karolos, C. Pikridas, N. Vrettos, V. Tsioukas, Sotirios Kontogiannis
This paper presents a novel framework for Industrial maintenance. The proposition covers the three major parts of a holistic Industry 4.0 process: Digital twins representation, ubiquity, and intelligent decision support. The authors have implemented a test-bed maintenance system for the maintenance needs of the oil refinery industry. Finally, they present their implementation system capabilities of their proof of concept following their proposed framework.
{"title":"Proposed Industry 4.0 Maintenance framework for critical and demanding infrastructures and processes","authors":"Vasileios Karaiskos, N. Zinas, Theodosios Gkamas, I. Karolos, C. Pikridas, N. Vrettos, V. Tsioukas, Sotirios Kontogiannis","doi":"10.1109/SEEDA-CECNSM57760.2022.9932947","DOIUrl":"https://doi.org/10.1109/SEEDA-CECNSM57760.2022.9932947","url":null,"abstract":"This paper presents a novel framework for Industrial maintenance. The proposition covers the three major parts of a holistic Industry 4.0 process: Digital twins representation, ubiquity, and intelligent decision support. The authors have implemented a test-bed maintenance system for the maintenance needs of the oil refinery industry. Finally, they present their implementation system capabilities of their proof of concept following their proposed framework.","PeriodicalId":68279,"journal":{"name":"计算机工程与设计","volume":"134 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2022-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77266486","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}
Pub Date : 2022-09-23DOI: 10.1109/SEEDA-CECNSM57760.2022.9932962
Anargyros Gkogkidis, Vasileios Tsoukas, A. Kakarountas
Driving under the influence of alcohol is one of the most severe and critical problems in every country throughout the world. Driving is a difficult endeavor that demands a high degree of concentration and great visual processing. A system based on the Internet of Things can be utilized to measure drivers’ alcohol level and restrict their operation of motor vehicles. This technology is affordable but has a number of disadvantages, including the requirement for an internet connection, the transfer of data to other organizations, bandwidth and latency constraints, and security concerns. TinyML is an emerging technology that can overcome the aforementioned challenges by performing machine learning models locally and delivering real-time intelligence. In this work, the possibility of developing a TinyML-based system that can detect alcohol and alert the driver was investigated. The experimental findings demonstrate a high degree of accuracy, indicating that the technology under consideration may be utilized to develop compact, intelligent, and inexpensive devices capable of detecting alcohol and alerting the driver in real-time.
{"title":"A TinyML-based Alcohol Impairment Detection System For Vehicle Accident Prevention","authors":"Anargyros Gkogkidis, Vasileios Tsoukas, A. Kakarountas","doi":"10.1109/SEEDA-CECNSM57760.2022.9932962","DOIUrl":"https://doi.org/10.1109/SEEDA-CECNSM57760.2022.9932962","url":null,"abstract":"Driving under the influence of alcohol is one of the most severe and critical problems in every country throughout the world. Driving is a difficult endeavor that demands a high degree of concentration and great visual processing. A system based on the Internet of Things can be utilized to measure drivers’ alcohol level and restrict their operation of motor vehicles. This technology is affordable but has a number of disadvantages, including the requirement for an internet connection, the transfer of data to other organizations, bandwidth and latency constraints, and security concerns. TinyML is an emerging technology that can overcome the aforementioned challenges by performing machine learning models locally and delivering real-time intelligence. In this work, the possibility of developing a TinyML-based system that can detect alcohol and alert the driver was investigated. The experimental findings demonstrate a high degree of accuracy, indicating that the technology under consideration may be utilized to develop compact, intelligent, and inexpensive devices capable of detecting alcohol and alerting the driver in real-time.","PeriodicalId":68279,"journal":{"name":"计算机工程与设计","volume":"24 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2022-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73837814","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}
Pub Date : 2022-09-23DOI: 10.1109/SEEDA-CECNSM57760.2022.9932914
Panagiotis Gkotsiopoulos, Eleni Seralidou, C. Douligeris
Augmented Reality (AR) Technologies are gaining considerable attention due to their increased stability and reliability. Combined with the availability of smarter and cheaper devices, like smart-phones and tablets, AR technology greatly helps in enhancing the amount, relevance and ease of access of the available information. At the same pace, Internet of Things (IoT) technologies due to their pervasiveness, are paving the way towards a smarter interconnected world. Several industries, like entertainment, medicine and engineering, have developed and adapted IoT and AR technologies where the enrichment of the physical reality by the information and capabilities offered by AR proved useful for their business. The same approach should and could be the case in the education field. Nevertheless, the usage of IoT and AR technologies is still in its infancy, not following yet the path of many other industry fields. In this paper, after the presentation of contemporary AR and IoT technologies a proposal for utilizing these technologies to teach concepts that are required by the curriculum of the “Informatics Applications” course for the first class of senior high schools in Greece is presented.
{"title":"Augmented Reality and Internet of Things Trends in Education","authors":"Panagiotis Gkotsiopoulos, Eleni Seralidou, C. Douligeris","doi":"10.1109/SEEDA-CECNSM57760.2022.9932914","DOIUrl":"https://doi.org/10.1109/SEEDA-CECNSM57760.2022.9932914","url":null,"abstract":"Augmented Reality (AR) Technologies are gaining considerable attention due to their increased stability and reliability. Combined with the availability of smarter and cheaper devices, like smart-phones and tablets, AR technology greatly helps in enhancing the amount, relevance and ease of access of the available information. At the same pace, Internet of Things (IoT) technologies due to their pervasiveness, are paving the way towards a smarter interconnected world. Several industries, like entertainment, medicine and engineering, have developed and adapted IoT and AR technologies where the enrichment of the physical reality by the information and capabilities offered by AR proved useful for their business. The same approach should and could be the case in the education field. Nevertheless, the usage of IoT and AR technologies is still in its infancy, not following yet the path of many other industry fields. In this paper, after the presentation of contemporary AR and IoT technologies a proposal for utilizing these technologies to teach concepts that are required by the curriculum of the “Informatics Applications” course for the first class of senior high schools in Greece is presented.","PeriodicalId":68279,"journal":{"name":"计算机工程与设计","volume":"23 1","pages":"1-7"},"PeriodicalIF":0.0,"publicationDate":"2022-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75292310","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}
Pub Date : 2022-09-23DOI: 10.1109/SEEDA-CECNSM57760.2022.9932938
Konstantinos Papageorgiou, G. Spathoulas
Nowadays, citizens tend to use digital services for their interaction with public entities and third party entities. In such cases, they are usually required to present personal public documents, to prove the validity of personal information. Each citizen shares all personal data included in such documents with multiple entities, in order to prove the validity of a subset of those. On top of that, such systems run the risk of documents being forged. In fact, citizens do not have complete control over their personal data management. In this work, a decentralized system for creating and handling documents is presented. We propose a blockchain-based system that enables citizens to actively take part into the creation and management of such documents. Through a granular access control mechanism for the fields of the document, privacy leakage for citizens is minimized. The system enables the seamless interaction between citizens and entities while ensuring privacy and integrity of citizen’s personal data.
{"title":"Self-sovereign, verifiable, ubiquitous and privacy preserving public entity documents through the use of blockchain technology","authors":"Konstantinos Papageorgiou, G. Spathoulas","doi":"10.1109/SEEDA-CECNSM57760.2022.9932938","DOIUrl":"https://doi.org/10.1109/SEEDA-CECNSM57760.2022.9932938","url":null,"abstract":"Nowadays, citizens tend to use digital services for their interaction with public entities and third party entities. In such cases, they are usually required to present personal public documents, to prove the validity of personal information. Each citizen shares all personal data included in such documents with multiple entities, in order to prove the validity of a subset of those. On top of that, such systems run the risk of documents being forged. In fact, citizens do not have complete control over their personal data management. In this work, a decentralized system for creating and handling documents is presented. We propose a blockchain-based system that enables citizens to actively take part into the creation and management of such documents. Through a granular access control mechanism for the fields of the document, privacy leakage for citizens is minimized. The system enables the seamless interaction between citizens and entities while ensuring privacy and integrity of citizen’s personal data.","PeriodicalId":68279,"journal":{"name":"计算机工程与设计","volume":"108 1","pages":"1-8"},"PeriodicalIF":0.0,"publicationDate":"2022-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87618669","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}
Pub Date : 2022-09-23DOI: 10.1109/SEEDA-CECNSM57760.2022.9932999
K. Kalovrektis, Apostolos Xenakis, Efthymios Mantalovas, G. Stamoulis, Sarantos Psycharis, N. Evelpidou
Our work focuses, on designing and proposing a force estimation sensor system for Geological phenomena data collection and analysis, based on Biomimetic. In this sense, biomimetic term, is used, as proposed by Schmitt in its classical sense, with regatd to the study of nature’s methods, processes and mechanisms. In particular, strain gauge sensors with force sensing resistor (FSR), formate a clustering to estimate ground stress and tension levels, as stated by natures’ mechanisms in earthworms to detect electrical signals. Our sensor system is proposed as a testbed to estimate geological landslide phenomena. Our experimental results from the data collection system is conducted in LabVIEW.
{"title":"A Force Estimation Sensor System TestBed for Geological Phenomena Analysis based on Biomimetic","authors":"K. Kalovrektis, Apostolos Xenakis, Efthymios Mantalovas, G. Stamoulis, Sarantos Psycharis, N. Evelpidou","doi":"10.1109/SEEDA-CECNSM57760.2022.9932999","DOIUrl":"https://doi.org/10.1109/SEEDA-CECNSM57760.2022.9932999","url":null,"abstract":"Our work focuses, on designing and proposing a force estimation sensor system for Geological phenomena data collection and analysis, based on Biomimetic. In this sense, biomimetic term, is used, as proposed by Schmitt in its classical sense, with regatd to the study of nature’s methods, processes and mechanisms. In particular, strain gauge sensors with force sensing resistor (FSR), formate a clustering to estimate ground stress and tension levels, as stated by natures’ mechanisms in earthworms to detect electrical signals. Our sensor system is proposed as a testbed to estimate geological landslide phenomena. Our experimental results from the data collection system is conducted in LabVIEW.","PeriodicalId":68279,"journal":{"name":"计算机工程与设计","volume":"35 1","pages":"1-7"},"PeriodicalIF":0.0,"publicationDate":"2022-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89476570","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}
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