2020 2nd International Conference on Cybernetics and Intelligent System (ICORIS)最新文献

筛选
英文 中文
Decision Support System for Employee Recruitment of A Company Using Multi Attribute Utility Theory 基于多属性效用理论的A公司员工招聘决策支持系统
2020 2nd International Conference on Cybernetics and Intelligent System (ICORIS) Pub Date : 2020-10-27 DOI: 10.1109/ICORIS50180.2020.9320817
Mihuandayani Mihuandayani, Rillya Arundaa, Virginia Tamuntuan
{"title":"Decision Support System for Employee Recruitment of A Company Using Multi Attribute Utility Theory","authors":"Mihuandayani Mihuandayani, Rillya Arundaa, Virginia Tamuntuan","doi":"10.1109/ICORIS50180.2020.9320817","DOIUrl":"https://doi.org/10.1109/ICORIS50180.2020.9320817","url":null,"abstract":"Recruitment is one of the important things in the human resource management of a company. Selection is part of the recruitment process to decide which applicant or candidate suitable for a certain position. The problem occurs in the lack of service to consumers which results in the company's sales target not being achieved. This is due to the decline in employee performance and the selection of less competent employees who cannot meet the requirements of the position. This research proposes a Decision Support System (DSS) using the MultiAttribute Utility Theory (MAUT) approach in the process of selecting the candidate employee to make the assessment section simplify in the decision making. There are four criteria used in this research namely administration test, psychological test, interview, and medical test. The decision support system can help the stakeholder in the decision making of employee selection with an accurate and objective result. To measure the accuracy, we compare our results with the old system measurements of selection data in this company. The result is compared against the available data and an accuracy of 93.33 % is achieved.","PeriodicalId":280589,"journal":{"name":"2020 2nd International Conference on Cybernetics and Intelligent System (ICORIS)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123053642","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: 7
Forecasting Agricultural Land in West Denpasar Using the Semi Averages Methods Applied in GIS 基于GIS的半平均方法预测登巴萨西部农业用地
2020 2nd International Conference on Cybernetics and Intelligent System (ICORIS) Pub Date : 2020-10-27 DOI: 10.1109/ICORIS50180.2020.9320762
Ni Nyoman Supuwiningsih, Shofwan Hanief
{"title":"Forecasting Agricultural Land in West Denpasar Using the Semi Averages Methods Applied in GIS","authors":"Ni Nyoman Supuwiningsih, Shofwan Hanief","doi":"10.1109/ICORIS50180.2020.9320762","DOIUrl":"https://doi.org/10.1109/ICORIS50180.2020.9320762","url":null,"abstract":"Agriculture is the main livelihood done in the days of ancestors in Indonesia. Agricultural land from 2014-2019 in West Denpasar Subdistrict experienced a significant decline because it was influenced by several things such as the conversion of agricultural land to settlements due to overcrowding or population movement from villages to cities. Another factor is that livelihoods as farmers do not promise to generate income as they wish so the community uses their land to build other businesses. Based on these problems, a study was conducted to predict land area from 2020-2025 using data on agricultural land area in the District of West Denpasar from 2014-2019. Forecasting methods used are semi-average trend statistical methods. The results of the forecasting will be implemented in a Geographic Information System (GIS) using ArcView software. This research can be used as a decision maker by the government to anticipate the area of agricultural land in accordance with forecasting results that experienced a decline from 2020-2025 to maintain the balance of natural ecosystems for the survival of the next generation of the nation.","PeriodicalId":280589,"journal":{"name":"2020 2nd International Conference on Cybernetics and Intelligent System (ICORIS)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115742487","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
The Mediating Role of Learning Analytics to Improve Student Academic Performance 学习分析对提高学生学业成绩的中介作用
2020 2nd International Conference on Cybernetics and Intelligent System (ICORIS) Pub Date : 2020-10-27 DOI: 10.1109/ICORIS50180.2020.9320802
Sandy Kosasi, Vedyanto, Utin Kasma, I. D. Ayu Eka Yuliani
{"title":"The Mediating Role of Learning Analytics to Improve Student Academic Performance","authors":"Sandy Kosasi, Vedyanto, Utin Kasma, I. D. Ayu Eka Yuliani","doi":"10.1109/ICORIS50180.2020.9320802","DOIUrl":"https://doi.org/10.1109/ICORIS50180.2020.9320802","url":null,"abstract":"Recent indicators of the success of every college graduate still refer to the cumulative academic achievement index. The era of disruption of the digitalization of education has posed different challenges and problems to universities to improve student academic performance. The objective of this study was to determine the extent of influences and relationships of antecedent factors, including soft skills and learning analytics, the intervening variables in improving this performance. This study engaged 203 active students taking courses in the fifth and sixth semesters of universities in Pontianak, West Kalimantan, Indonesia. The research was in the form of surveys. Questionnaires were distributed online through Google Form. SEM-PLS Method was conducted for the analysis. Results show strong influences and relationships between academic, emotional learning and soft skills through learning analytics in improving student academic performance. Furthermore, the negative influences of soft skills have insignificance on this performance. Lastly, a socio-economic factor is irrelevantly linked to learning analytics and student academic performance. All of these findings indicate that academic, personal, socio-economic antecedents are no longer relevant to previous research.","PeriodicalId":280589,"journal":{"name":"2020 2nd International Conference on Cybernetics and Intelligent System (ICORIS)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124883525","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
Enabling SDN in Hybrid Xhaul-TWDM-PON Networks for Interactive Video Applications 在交互式视频应用的Xhaul-TWDM-PON混合网络中启用SDN
2020 2nd International Conference on Cybernetics and Intelligent System (ICORIS) Pub Date : 2020-10-27 DOI: 10.1109/ICORIS50180.2020.9320792
A. T. Liem, I. Hwang, Elaiyasuriyab Ganesan, O. Lengkong, Lamarama Jallow
{"title":"Enabling SDN in Hybrid Xhaul-TWDM-PON Networks for Interactive Video Applications","authors":"A. T. Liem, I. Hwang, Elaiyasuriyab Ganesan, O. Lengkong, Lamarama Jallow","doi":"10.1109/ICORIS50180.2020.9320792","DOIUrl":"https://doi.org/10.1109/ICORIS50180.2020.9320792","url":null,"abstract":"Nowadays, the latest age of immersive media technologies such as interactive video application, virtual reality or 3D television, multiplayer online gaming, which has brought users new technological perspectives, has contributed to a significant revolution of the broadcast environment in coming years. And most of these bandwidths will be created by mobile users. It is therefore expected that the Time-Wavelength- Division-Multiplexing Passive Optical Network (TWDM-PON) would help the integration of wired and wireless networks resulting from hybrid optical-wireless architecture, which is the best choice for next-generation architecture design. In this paper, we proposed the Hybrid Xhaul-TWDM-PON networks with SD local cache management for interactive video applications mechanisms. OpenFlow controller is also the use of the smart local cache with QoS-conscious mechanism, to locally track and store the most common video at S-OLT, to lower end- user latency and increase end-user QoE. Simulation results shows that the proposed mechanism can improve the overall system performance in terms of mean packet delay, packet dropping and bandwidth efficiency.","PeriodicalId":280589,"journal":{"name":"2020 2nd International Conference on Cybernetics and Intelligent System (ICORIS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128500979","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
Stock Price Forecasting on Telecommunication Sector Companies in Indonesia Stock Exchange Using Machine Learning Algorithms 利用机器学习算法预测印尼证券交易所电信行业公司股价
2020 2nd International Conference on Cybernetics and Intelligent System (ICORIS) Pub Date : 2020-10-27 DOI: 10.1109/ICORIS50180.2020.9320758
Jimmy Moedjahedy, Reymon Rotikan, Wien Fitrian Roshandi, J. Y. Mambu
{"title":"Stock Price Forecasting on Telecommunication Sector Companies in Indonesia Stock Exchange Using Machine Learning Algorithms","authors":"Jimmy Moedjahedy, Reymon Rotikan, Wien Fitrian Roshandi, J. Y. Mambu","doi":"10.1109/ICORIS50180.2020.9320758","DOIUrl":"https://doi.org/10.1109/ICORIS50180.2020.9320758","url":null,"abstract":"Stock investment is a demand-driven and demanding monetary practice. Hence, the study of stock forecasts or, more precisely, the forecasting of stock prices, plays an essential role in the stock market. Mistakes in forecasting share prices have a significant impact on global finance; thus, they require an effective method of predicting changes in share prices. Machine learning is one of the methods that can be used to predict the stock price. To predict the stock price of five companies in the telecommunications sector, Bakrie Telecom Tbk (BTEL), PT. XL Axiata Tbk (EXCL), PT. Smartfren Telecom Tbk (FREN), PT. Telekomunikasi Indonesia Tbl (TLKM), and PT. Indosat Tbk (ISAT), two algorithms are used to predict the stock prices, which are the Gaussian Process and SMOreg and train dataset from January 1, 2017, to December 31, 2019. The result of this study is SMOreg has the best result than the Gaussian Process with an RMSE value of 0.00005, MAPE 1.88%, and MBE 0.00025.","PeriodicalId":280589,"journal":{"name":"2020 2nd International Conference on Cybernetics and Intelligent System (ICORIS)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128673727","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
SimpleNet: Hazardous-Object Detecting Neural Network in Low-Performance Devices SimpleNet:低性能设备中的危险目标检测神经网络
2020 2nd International Conference on Cybernetics and Intelligent System (ICORIS) Pub Date : 2020-10-27 DOI: 10.1109/ICORIS50180.2020.9320799
Jae-Sung Jeong
{"title":"SimpleNet: Hazardous-Object Detecting Neural Network in Low-Performance Devices","authors":"Jae-Sung Jeong","doi":"10.1109/ICORIS50180.2020.9320799","DOIUrl":"https://doi.org/10.1109/ICORIS50180.2020.9320799","url":null,"abstract":"While the widespread of mobile devices has brought convenience in many aspects, it has also caused an increase in the number of traffic accidents due to pedestrians preoccupied with their smartphone devices. In order to solve such problem, this research proposes a network that allows training of data with reduced number of layers. SimpleNet algorithm simplifies the process of object classification into the states of detected or undetected. In order to optimize the configuration for a given device, two hyperparameters, Repeat Parameter and Feature Parameter, were adjusted throughout the testing. The test results show that the performance of full- size SimpleNet is comparable to that of Deep Neural Network. Even after reducing the model with optimized hyperparameters, SimpleNet exhibited an accuracy of 96.8%. We expect that this algorithm can be implemented in low-performance devices to detect hazardous objects on streets. Furthermore, we expect the detection target to be more limited for these devices in that they can only have a restricted vision of the surroundings","PeriodicalId":280589,"journal":{"name":"2020 2nd International Conference on Cybernetics and Intelligent System (ICORIS)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126355714","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
The Role of Information Technology Assessment in the Ministry of Marine Affairs and Fisheries 信息技术评估在海洋和渔业部中的作用
2020 2nd International Conference on Cybernetics and Intelligent System (ICORIS) Pub Date : 2020-10-27 DOI: 10.1109/ICORIS50180.2020.9320834
Nilam Amalia Pusparani, Dian Mentari Ramadita, Lufi Herawan, A. Solicha
{"title":"The Role of Information Technology Assessment in the Ministry of Marine Affairs and Fisheries","authors":"Nilam Amalia Pusparani, Dian Mentari Ramadita, Lufi Herawan, A. Solicha","doi":"10.1109/ICORIS50180.2020.9320834","DOIUrl":"https://doi.org/10.1109/ICORIS50180.2020.9320834","url":null,"abstract":"Information technology (IT) has a very important role in supporting the business of an organization. The role of information technology itself can be assessed. This role is very important to be assessed and evaluated, so that its position in an organization can be known. In this study, an assessment of the role of information technology was carried out on one of the government agencies that had never been assessed before, that is the Ministry of Marine Affairs and Fisheries (MMAF). The evaluation was carried out using a table of information technology leadership impacts on the role of information technology in organizations created by Applegate, Austin, and Soule. The assessment results are then mapped into the McFarlan IT Strategic Grid which consists of 4 (four) quadrants, namely: support, factory, turnaround, and strategic. This mapping is useful to assist MMAF leaders in measuring information technology capabilities and leadership approaches. Based on the results of the assessment, the role of information technology in MMAF is in the factory quadrant (7 points). The recommended step forward is to strengthen the position of the MMAF information technology role in the factory quadrant (short-term plan) and move to the strategic quadrant (medium-term plan). The action plan that will be taken to strengthen the position in the factory quadrant is data integration.","PeriodicalId":280589,"journal":{"name":"2020 2nd International Conference on Cybernetics and Intelligent System (ICORIS)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115874874","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
Analysis Of The Accuracy of The Level Of Rainfall For Time Series Data Using Neural Network Method Based On Particle Swarm Optimized 基于粒子群优化的神经网络时间序列降水水平精度分析
2020 2nd International Conference on Cybernetics and Intelligent System (ICORIS) Pub Date : 2020-10-27 DOI: 10.1109/ICORIS50180.2020.9320821
Sitti Harlina, Cucut Susanto, Usman, Y. Soetikno
{"title":"Analysis Of The Accuracy of The Level Of Rainfall For Time Series Data Using Neural Network Method Based On Particle Swarm Optimized","authors":"Sitti Harlina, Cucut Susanto, Usman, Y. Soetikno","doi":"10.1109/ICORIS50180.2020.9320821","DOIUrl":"https://doi.org/10.1109/ICORIS50180.2020.9320821","url":null,"abstract":"Data Mining and economic studies show that the method is suitable for use given by the Neural Network (NN ) with a fairly low error rate, the ability of Neural Networks in Universal Approximation has been studied by various researchers for forecasting time series data on various types of data, so that performance from Neural Network which is satisfactory in time series data forecasting . To determine the best model from each previous period, we need to optimize the weights of each relevant training data variable, so that the Neural Network method based on Particle Swarm Optimization (PSO) can be applied even though the maximum feasibility level is not certain. The biggest cost in the response to natural disasters such as floods, droughts, late planting patterns, help farmers avoid crop failures that can be caused to one's determining the types of crops grown in those days, in need right way to predict the amount of rainfall in the coming months, in order to anticipate unwanted events . Cost suppression can also be done by analyzing the changing time series patterns of rainfall data sets taken from the Romang Polong Station in Makassar from 2005-2015 , which facilitates the process of analyzing the prediction of accuracy generated from the time series data sets, if implemented by combining the Particle Swarm Optimization (PSO) based on Neural Network (NN) method to find out the patterns generated from the data set. Thus saving time and operating power.","PeriodicalId":280589,"journal":{"name":"2020 2nd International Conference on Cybernetics and Intelligent System (ICORIS)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133999272","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
Customer Loyalty in Marketplace: Structural Equation Modeling Analysis 市场中的顾客忠诚度:结构方程模型分析
2020 2nd International Conference on Cybernetics and Intelligent System (ICORIS) Pub Date : 2020-10-27 DOI: 10.1109/ICORIS50180.2020.9320825
I. G. Ngurah Satria Wijaya, Evi Triandini, Ezra Tifanie Gabriela Kabnani
{"title":"Customer Loyalty in Marketplace: Structural Equation Modeling Analysis","authors":"I. G. Ngurah Satria Wijaya, Evi Triandini, Ezra Tifanie Gabriela Kabnani","doi":"10.1109/ICORIS50180.2020.9320825","DOIUrl":"https://doi.org/10.1109/ICORIS50180.2020.9320825","url":null,"abstract":"The rapid development of the three business models, namely online stores via social media, e-commerce with the Consumer to Consumer concept, and e-commerce with the Business to Consumer concept, caused a high level of competition so owners must know and fulfil customer wishes. This challenge was certainly not easy, e-commerce owners provided the best service by maintaining the quality of the website especially security factor to convince visitors so that they gain trust and develop into customer loyalty. This research aimed to analyze the effect of website security on customer loyalty with trust as Shopee web moderation variable. Primary data collection technique used in this study is by spreading questionnaires to the student respondents of the ITB STIKOM Bali information system study program. The data analysis method used Structural Equation Model. Based on the results of the analysis that has been obtained, it is discovered that the web security had a significant effect on the customer trust, the web security had a significant effect on the customer loyalty, and the customer trust variable did not have a significant effect on the customer loyalty variable on the Shopee website. The results of this research were considered by Shopee's management to pay attention to the variables of web security and customer trust that can-shaped customer loyalty so that later the company's goals will be achieved.","PeriodicalId":280589,"journal":{"name":"2020 2nd International Conference on Cybernetics and Intelligent System (ICORIS)","volume":"105 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133213203","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
Geomath: An Augmented Reality Based Geometry Introductory Android-Based Application with Cuboid Tracking Geomath:基于增强现实的几何介绍基于android的应用程序与长方体跟踪
2020 2nd International Conference on Cybernetics and Intelligent System (ICORIS) Pub Date : 2020-10-27 DOI: 10.1109/ICORIS50180.2020.9320815
J. Y. Mambu, B. G. Wullur, A. Wahyudi, Jeanne Ambana, Jimmy Moejahedy, Riani Kumendong
{"title":"Geomath: An Augmented Reality Based Geometry Introductory Android-Based Application with Cuboid Tracking","authors":"J. Y. Mambu, B. G. Wullur, A. Wahyudi, Jeanne Ambana, Jimmy Moejahedy, Riani Kumendong","doi":"10.1109/ICORIS50180.2020.9320815","DOIUrl":"https://doi.org/10.1109/ICORIS50180.2020.9320815","url":null,"abstract":"Geometry is the lesson we have learned from the elementary school level, which is divided into two categories: plane geometry and solid geometry. The shapes of geometrical objects can be around us in our everyday life, such as dice with cuboid shape, door with rectangular shape, plates with circular shapes, etc. Even so, the apparatus used for introducing these shapes are many still in the form of books or static media or objects. In this research, innovation is made by creating an application that will show geometry planes and objects using Augmented Reality technology and the 3D Cuboid Tracking method. This method uses a cuboid-shaped marker that has six sides and can be tracked all at once. By using this method, the geometry objects can be seen in 3D, where users can see every object at a different angle and gives better haptic feedback as the cube can be held. In this research, we use ten geometry objects that consist of six solid geometry objects (cube, rectangular prism, triangular prism, sphere, cylinder, cone) and four plane geometry objects (triangle, rectangle, square, circle). This application shows geometry objects with its description and the calculation of surface area, volume, and perimeter and a quite accurate projection with less than 0.5 cm margin error. A test of the application also has been done on Android smartphones and successfully installed on Android 5.1 and higher versions.","PeriodicalId":280589,"journal":{"name":"2020 2nd International Conference on Cybernetics and Intelligent System (ICORIS)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116899539","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
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信