We present RedunWSD, a Word Sense Disambiguation (WSD) based redundancy removal method for multiple text documents query-based text summarization. Recognizing and identifying the redundancy from the text documents is a challenging task that has not been fully resolved yet. In the case of multiple text document summarization processes, redundancy removal helps in getting maximum content coverage by minimizing any redundant or repetitive sentences. Another novel contribution of our work is the disambiguating a word's sense, since it helps us in getting accurate semantic similarity score between two sentences. Along with the semantic similarity score, we also consider the order of words between two sentences. Our model has the additional advantage of detecting the redundant sentences based on its meaning. Our experimental results show that the proposed WSD method outperforms many existing and current WSD methods. We have evaluated the proposed RedunWSD method on Document Understanding Conference (DUC) benchmark datasets and show that it helps in getting better recall values than many top existing query-based text summarization methods.
{"title":"Redundancy Removal Method for Multi-Document Query-Based Text Summarization","authors":"Nazreena Rahman, B. Borah","doi":"10.1145/3459104.3459197","DOIUrl":"https://doi.org/10.1145/3459104.3459197","url":null,"abstract":"We present RedunWSD, a Word Sense Disambiguation (WSD) based redundancy removal method for multiple text documents query-based text summarization. Recognizing and identifying the redundancy from the text documents is a challenging task that has not been fully resolved yet. In the case of multiple text document summarization processes, redundancy removal helps in getting maximum content coverage by minimizing any redundant or repetitive sentences. Another novel contribution of our work is the disambiguating a word's sense, since it helps us in getting accurate semantic similarity score between two sentences. Along with the semantic similarity score, we also consider the order of words between two sentences. Our model has the additional advantage of detecting the redundant sentences based on its meaning. Our experimental results show that the proposed WSD method outperforms many existing and current WSD methods. We have evaluated the proposed RedunWSD method on Document Understanding Conference (DUC) benchmark datasets and show that it helps in getting better recall values than many top existing query-based text summarization methods.","PeriodicalId":142284,"journal":{"name":"2021 International Symposium on Electrical, Electronics and Information Engineering","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123196070","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}
Aiming at the existing operation mode of VTOL fixed wing UAV, this paper proposes an unattended operation mode that equipping the VTOL fixed-wing UAV with intelligent apron, autonomous charging and power off device, high-precision take-off and landing device, automatic recovery device, meteorological monitoring device, 4G remote communication module and Monitoring software. To operate the VTOL fixed-wing UAV without personnel on site. Based on this unattended operation mode, this paper proposes seven kinds of application inspection modes. According to different application environments, a reasonable practical application scheme can be achieved by reasonably adjusting the ratio of UAV and intelligent apron according to equipment operation time, operation interval, operation frequency and operation scope. At the same time, the flight test was carried out in the application environment of expressway, and the test results reached the expected design indexes, which laid the foundation for the system to the application environment of large area and long distance.
{"title":"Research on an Unmanned VTOL Fixed Wing UAV System and Its Application","authors":"Feiyu Song, Yong Zhang, Wang Jian","doi":"10.1145/3459104.3459129","DOIUrl":"https://doi.org/10.1145/3459104.3459129","url":null,"abstract":"Aiming at the existing operation mode of VTOL fixed wing UAV, this paper proposes an unattended operation mode that equipping the VTOL fixed-wing UAV with intelligent apron, autonomous charging and power off device, high-precision take-off and landing device, automatic recovery device, meteorological monitoring device, 4G remote communication module and Monitoring software. To operate the VTOL fixed-wing UAV without personnel on site. Based on this unattended operation mode, this paper proposes seven kinds of application inspection modes. According to different application environments, a reasonable practical application scheme can be achieved by reasonably adjusting the ratio of UAV and intelligent apron according to equipment operation time, operation interval, operation frequency and operation scope. At the same time, the flight test was carried out in the application environment of expressway, and the test results reached the expected design indexes, which laid the foundation for the system to the application environment of large area and long distance.","PeriodicalId":142284,"journal":{"name":"2021 International Symposium on Electrical, Electronics and Information Engineering","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128836720","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}
Taweewat Luangwiriya, R. Kongkachandra, Pokpong Songmuang
In software engineering process, the conflict of non-functional requirements (NFR) is one of major problems during analysis and design phase. Since NFR is difficult to be understood and may be interfered, conflicted, or contradicted with other NFRs. In addition, many of NFRs relate to the same quality attribute which leads to the requirement conflict problem. This paper presents a knowledge representation method for detecting the conflicts in NFRs using the conceptual graphs. The proposed method enhances the understanding of NFR. Subsequently, the requirement conflicts between NFRs model can be detected using reasoning process with conceptual graph. The case study of billing system in telecommunication company is discussed for a feasibility and an effectiveness of the proposed method.
{"title":"Representation of Conflicts in Non-Functional Requirement using Conceptual Graphs","authors":"Taweewat Luangwiriya, R. Kongkachandra, Pokpong Songmuang","doi":"10.1145/3459104.3459196","DOIUrl":"https://doi.org/10.1145/3459104.3459196","url":null,"abstract":"In software engineering process, the conflict of non-functional requirements (NFR) is one of major problems during analysis and design phase. Since NFR is difficult to be understood and may be interfered, conflicted, or contradicted with other NFRs. In addition, many of NFRs relate to the same quality attribute which leads to the requirement conflict problem. This paper presents a knowledge representation method for detecting the conflicts in NFRs using the conceptual graphs. The proposed method enhances the understanding of NFR. Subsequently, the requirement conflicts between NFRs model can be detected using reasoning process with conceptual graph. The case study of billing system in telecommunication company is discussed for a feasibility and an effectiveness of the proposed method.","PeriodicalId":142284,"journal":{"name":"2021 International Symposium on Electrical, Electronics and Information Engineering","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126930501","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}
A. Roshdy, S. A. Kork, A. Karar, A. Sabi, Z. A. Barakeh, Fahmi ElSayed, T. Beyrouthy, A. Naït-Ali
The primary objective of this work is to emulate machine empathy through digitizing human emotions. A simple proofof-concept experiment is conducted, where a brain-computer interface (BCI) captures the brain's electroencephalogram (EEG) signals using an Emotiv Epoc headset. A two dimensional (2D) intensity (heat) map of the brain's EEG is obtained for a pre-defined set of an emotional stimulus, namely excitement and stress. An artificial neural network (ANN) is subsequently used for classifying the 2D image. The key contribution of this work is to leverage the already powerful and mature tools for image recognition developed in ANN systems for emotion recognition through adapting the 2D intensity map of the EEG brain activity. The resulting BCI system was set-up to control a surrogate humanoid robot, allowing the robot to emulate empathy and interact with the subject according to pre-defined behavioural models. The ANN classifier exhibited an accuracy of 87.5% for recognizing two of the emotional states targeted in this study.
{"title":"Machine Empathy: Digitizing Human Emotions","authors":"A. Roshdy, S. A. Kork, A. Karar, A. Sabi, Z. A. Barakeh, Fahmi ElSayed, T. Beyrouthy, A. Naït-Ali","doi":"10.1145/3459104.3459154","DOIUrl":"https://doi.org/10.1145/3459104.3459154","url":null,"abstract":"The primary objective of this work is to emulate machine empathy through digitizing human emotions. A simple proofof-concept experiment is conducted, where a brain-computer interface (BCI) captures the brain's electroencephalogram (EEG) signals using an Emotiv Epoc headset. A two dimensional (2D) intensity (heat) map of the brain's EEG is obtained for a pre-defined set of an emotional stimulus, namely excitement and stress. An artificial neural network (ANN) is subsequently used for classifying the 2D image. The key contribution of this work is to leverage the already powerful and mature tools for image recognition developed in ANN systems for emotion recognition through adapting the 2D intensity map of the EEG brain activity. The resulting BCI system was set-up to control a surrogate humanoid robot, allowing the robot to emulate empathy and interact with the subject according to pre-defined behavioural models. The ANN classifier exhibited an accuracy of 87.5% for recognizing two of the emotional states targeted in this study.","PeriodicalId":142284,"journal":{"name":"2021 International Symposium on Electrical, Electronics and Information Engineering","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126078414","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}
The aerodynamic characteristics of wings and airfoils near the stall point are difficult to predict, but have an important impact on the performance and flight safety of aircraft. The present work investigates the natural low-frequency flow oscillation phenomenon of the airfoils that has the leading-edge stall type. Hybrid RANS/LES Simulations of flows around NACA0012 airfoil were conducted to obtain better understanding of this phenomenon at the angle of attack range of 13o-20o at the condition of Reynolds number 6×106 and Mach number 0.2. Results indicated that self-sustained natural low-frequency flow oscillations were taking place. Micro structures of flowfield were captured to reveal flow mechanism. A large vortex structure, formed by many small vortices, played a significant role in the phenomenon of low-frequency oscillation. A separation bubble was formed at the upper leading edge, and then the separation region expanded leading to a wide separation of the entire leeward side. The fluctuating lift coefficient showed very low-frequency unsteadiness and a large fluctuation, and the Strouhal number was about 0.01. Time-dependent flowfield showed irregular alternation between large separated flow and almost attached flow. The low-frequency oscillations were found to exist over a range of angles of attack near stall.
{"title":"RANS/LES Simulation of Low-Frequency Flow Oscillations on a NACA0012 Airfoil Near Stall","authors":"Wei Yang, Zhaolin Fan, XiaoBing Deng, Xiaohui Zhao","doi":"10.1145/3459104.3459117","DOIUrl":"https://doi.org/10.1145/3459104.3459117","url":null,"abstract":"The aerodynamic characteristics of wings and airfoils near the stall point are difficult to predict, but have an important impact on the performance and flight safety of aircraft. The present work investigates the natural low-frequency flow oscillation phenomenon of the airfoils that has the leading-edge stall type. Hybrid RANS/LES Simulations of flows around NACA0012 airfoil were conducted to obtain better understanding of this phenomenon at the angle of attack range of 13o-20o at the condition of Reynolds number 6×106 and Mach number 0.2. Results indicated that self-sustained natural low-frequency flow oscillations were taking place. Micro structures of flowfield were captured to reveal flow mechanism. A large vortex structure, formed by many small vortices, played a significant role in the phenomenon of low-frequency oscillation. A separation bubble was formed at the upper leading edge, and then the separation region expanded leading to a wide separation of the entire leeward side. The fluctuating lift coefficient showed very low-frequency unsteadiness and a large fluctuation, and the Strouhal number was about 0.01. Time-dependent flowfield showed irregular alternation between large separated flow and almost attached flow. The low-frequency oscillations were found to exist over a range of angles of attack near stall.","PeriodicalId":142284,"journal":{"name":"2021 International Symposium on Electrical, Electronics and Information Engineering","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114925883","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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