{"title":"Influence of harmonic loudness on piano timbre preference","authors":"Yuxiang Cai, Xuefeng Zhou","doi":"10.1109/icsai53574.2021.9664148","DOIUrl":"https://doi.org/10.1109/icsai53574.2021.9664148","url":null,"abstract":"Digital music is more and more popular in nowadays. However, more sophisticated music production has received little scholarly attention. This study examined piano timbre preference between melodies of non-processing sound source of software and two kinds of adjustment by equalizer - a basic tool for recording engineering and for audio materials production in this study. Using the dual comparison method, 98 respondents were surveyed. The survey results show that, in the bass range of the piano sound, the audio material produced by equalizer with reducing the loudness of the 7th and 9th harmonics by 15dB, while enhancing the loudness of the 8th harmonics by 15dB, is the most favorite. Such result implies an application prospect in recording engineering and AI music production.","PeriodicalId":131284,"journal":{"name":"2021 7th International Conference on Systems and Informatics (ICSAI)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115568173","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}
{"title":"Role of Artificial Intelligence in Medical Predictions, Interventions and Quality of Life","authors":"M. Ivanović","doi":"10.1109/icsai53574.2021.9664199","DOIUrl":"https://doi.org/10.1109/icsai53574.2021.9664199","url":null,"abstract":"This short paper is focused on giving a brief summary on recent methodologies in assembling, managing, and utilizing massive data in medicine and health that are highly supported by robust practices and advances that Artificial Intelligence offers in contemporary research. The presented considerations are oriented towards facilitating improvements of patients' health parameters and quality of life indicators. Two typical cases are presented inspired by authors' enduring approaches, applications and investigations in using general Artificial Intelligence methods and particularly Machine Learning, and Agent Technologies. In last decade the author and his research group have been developing several high quality solutions with particular attention towards medical areas.","PeriodicalId":131284,"journal":{"name":"2021 7th International Conference on Systems and Informatics (ICSAI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129701009","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}
{"title":"Efficient Channel Attention U-Net For Mesh Crack Detection","authors":"Die Huang, Jianxi Yang, Hao Li, Shixin Jiang","doi":"10.1109/icsai53574.2021.9664157","DOIUrl":"https://doi.org/10.1109/icsai53574.2021.9664157","url":null,"abstract":"Cracks are an extremely common disease in concrete structures, and effective detection can prevent greater damage. Although the existing deep learning-based crack detection technology is well developed, there are still some shortcomings, such as the lack of detection of mesh cracks due to discontinuity of extracted lines. In this paper, a new deep learning model based on U-Net network is proposed, aiming to improve the ability of detecting mesh cracks by increasing the continuity of lines. We enhance the extraction of semantic information of fine branch cracks by introducing the efficient channel attention (ECA) blocks, which replaces the simple copy between the contracting path and the corresponding expansive path, and makes the network focus more on thin crack pixels and suppress the pixels of the background. The results show that our model has reached the state-of-the-art performance on our dataset.","PeriodicalId":131284,"journal":{"name":"2021 7th International Conference on Systems and Informatics (ICSAI)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114225014","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}
{"title":"On Highway Guardrail Detection Algorithm Based on Mask RCNN in Complex Environments","authors":"Hao-Ran Jin, Zhangli Lan, Xu He","doi":"10.1109/icsai53574.2021.9664044","DOIUrl":"https://doi.org/10.1109/icsai53574.2021.9664044","url":null,"abstract":"Highway guardrail survey is an important task of highway management. In order to improve the accuracy of guardrail detection in complex background, Mask RCNN was introduced in combination with image preprocessing algorithm, Resnet101 was used as the backbone network, feature pyramid network (FPN) structure was used for feature extraction, and regional proposal network (RPN) was used to generate regional proposals for each feature map. The mask image of the guardrails was generated by Mask RCNN to realize the segmentation and detection of the guardrails. The average precision of guardrail detection of 200 test images was 94.38%, and the average recall rate was 93.8%, and the MIoU rate for instance segmentation was 85.83%. The experimental outcomes indicate that the guardrail detection algorithm based on the Mask RCNN can accurately segment and detect guardrails under complex environmental backgrounds, and has good universality and robustness.","PeriodicalId":131284,"journal":{"name":"2021 7th International Conference on Systems and Informatics (ICSAI)","volume":"70 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113990551","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}
{"title":"An Entity Event Deduplication Method Based on Connected Subgraph","authors":"Wei Ai, Jia Xu, Hongen Shao, Ze Wang, Tao Meng","doi":"10.1109/icsai53574.2021.9664040","DOIUrl":"https://doi.org/10.1109/icsai53574.2021.9664040","url":null,"abstract":"The news data from different sources has a high degree of repetition. How to accurately get the most timely news is the primary task of text processing and analysis. Therefore, we propose an entity event deduplication method based on a connected subgraph to address the high repetition rate of multisource events. In this paper, according to the correlation of events and development factors of events, we extract relevant features and improve the accuracy of the deduplication method. The final experimental evaluation shows that the proposed method has higher accuracy than the current deduplication methods, and can significantly improve the repeat detection rate of the entity event within the effective time.","PeriodicalId":131284,"journal":{"name":"2021 7th International Conference on Systems and Informatics (ICSAI)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132021410","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}
{"title":"Research On a Certain Information System Guarantee Training system","authors":"Dezhi Li, Huan-huan Liu, Qiang Li, Jianyu Cai","doi":"10.1109/icsai53574.2021.9664130","DOIUrl":"https://doi.org/10.1109/icsai53574.2021.9664130","url":null,"abstract":"This article introduces the design and implementation method of the information system guarantee training system. In the first part we introduces the overall design principles of the simulation training system for the needs of information system guarantee training. In the Second part we analyzes the system function composition, system structure and operation interaction. In the third part we use the method of engineering decomposition to design six functional modules including guarantee requirements, guarantee plan drafting, operation and maintenance management, action control, case analysis, professional guidance control. The system has been successfully developed and can provide strong support for the guarantee personnel to organize information system guarantee training.","PeriodicalId":131284,"journal":{"name":"2021 7th International Conference on Systems and Informatics (ICSAI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131282258","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}
{"title":"Intelligent Prediction of Power Grid Project Cost Based on PSO-BP Model","authors":"Dan Chen, Daojun Ding, Xiaomeng Zhai, Xiang Zhou, Huichuan Liu, Luofei Wu","doi":"10.1109/icsai53574.2021.9664036","DOIUrl":"https://doi.org/10.1109/icsai53574.2021.9664036","url":null,"abstract":"With the promotion of a new round of power system reform, the power grid project cost will develop towards the direction of lean management. With the increasingly complex construction environment and increasing investment scale of electric power grid engineering in China, the cost control of power grid projects will be directly related to the development level of smart grid in the future. Therefore, this paper proposes an intelligent forecasting model of electric power grid engineering cost based on PSO-BP algorithm, which improves the accuracy and efficiency of intelligent prediction of cost, and has the ability of popularization, which provides strong help for the future construction of smart grid.","PeriodicalId":131284,"journal":{"name":"2021 7th International Conference on Systems and Informatics (ICSAI)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129125606","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}
Yutang Ma, Fangrong Zhou, Hao Geng, Wei Chen, Lin Huang
{"title":"The change of DC parameters of 35kV ZnO arrester under continuous single heavy lightning strike","authors":"Yutang Ma, Fangrong Zhou, Hao Geng, Wei Chen, Lin Huang","doi":"10.1109/icsai53574.2021.9664203","DOIUrl":"https://doi.org/10.1109/icsai53574.2021.9664203","url":null,"abstract":"As an important part of power system, zinc oxide arrester plays an indispensable role in limiting the over-voltage and lightning protection of power system. Frequent lightning strikes in nature will affect the performance of ZnO arresters, and thus affect the safe and stable operation of the whole power system. Therefore, it is important to study the DC parameters of ZnO arresters under lightning stroke to judge the aging state of zinc oxide arrester. This paper establishes a continuous single heavy lightning test platform, simulates the state of zinc oxide arrester subjected to continuous lightning stroke, and obtains the DC parameter change of 35kV zinc oxide arrester under the influence of continuous lightning stroke. The results show that after 50 continuous single heavy lightning strikes, the leakage current of 35kV zinc oxide arrester increases by 70% and U1mA decreases by 7.72%. It is concluded that the arrester is aging seriously and the insulation state is getting worse and worse.","PeriodicalId":131284,"journal":{"name":"2021 7th International Conference on Systems and Informatics (ICSAI)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123202384","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}
{"title":"Automatic Hypernym-Hyponym Relation Extraction With WordNet Projection","authors":"Congcong Zhang, Gaofei Xie, Ning Liu, Xiaojie Hu, Yatian Shen, Xiajiong Shen","doi":"10.1109/icsai53574.2021.9664140","DOIUrl":"https://doi.org/10.1109/icsai53574.2021.9664140","url":null,"abstract":"Semantic taxonomies such as WordNet are expensive to build manually. Based on the above ideas and problems, in this paper, we propose a new model for automatically extracting hypernym-hyponym relations from raw text. Our model is based on two scoring functions, one neural networks model for sentence including word pair and the other model used projection network, which learns semantic distance to noun pairs in semantic hierarchy of WordNet. At last, sum of two score is used to classify hypernym-hyponym relation from raw text. On the experimental tasks about hypernym-hyponym relation extraction, our methods get about the result of 0.82 F1-score.","PeriodicalId":131284,"journal":{"name":"2021 7th International Conference on Systems and Informatics (ICSAI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130192940","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}
Jing-Jing Bai, Yu Yin, Jing Liu, Yulin Qin, Yingbao Cui
{"title":"Design and Implementation of Artificial Intelligence Platform Dedicated to Power System","authors":"Jing-Jing Bai, Yu Yin, Jing Liu, Yulin Qin, Yingbao Cui","doi":"10.1109/icsai53574.2021.9664153","DOIUrl":"https://doi.org/10.1109/icsai53574.2021.9664153","url":null,"abstract":"With the rapid development of the digital age and the tremendous changes in traditional industries, global artificial intelligence (AI) has become a general trend. In the power system, the combination of AI technology and traditional power domain has greatly promoted the technological progress of the digital transformation of the power industry. However, the difficulty of AI algorithm research and development, the lack of unified management of data and models, and other issues restrict the wide application of AI technology in power systems. Establishing a unified AI platform for the power system and providing a unified AI model operation service support has become the key to power system AI technology progress. In this work, we propose a power system AI platform design and implementation plan, which provides the full-chain functions from model production to service formation, including sample processing, model training, and shared release. Specifically, the platform includes three modules—data set, model set, and learning environment—which have functions such as model deployment, data management, service release, and service management, etc. The data set includes functions such as data preprocessing, tag management, and metadata management, and has multi-person collaborative service interfaces. The model set includes model evaluation, model compression, model resources and catalog service interfaces. The learning environment includes functions such as custom algorithm management, automated model training, resource scheduling, etc. The results of applying AI technology in typical business scenarios such as power transmission, power transformation, and safety supervision verify the platform's full-chain support capability in the model formation process.","PeriodicalId":131284,"journal":{"name":"2021 7th International Conference on Systems and Informatics (ICSAI)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133671303","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}