{"title":"Stock Trend Prediction of Communication Industry Based on LSTM Neural Network Algorithm and Research of Industry Development Strategy: – A Case Study of Zhongxing Telecommunication Equipment Corporation","authors":"Boyi Wan, Yun Shen","doi":"10.1145/3450588.3450606","DOIUrl":"https://doi.org/10.1145/3450588.3450606","url":null,"abstract":"Based on the background of \"ZTE event\" in China-US trade friction, in order to effectively analyze the stock trend of communication industry in the securities market, this paper uses the long short-term memory (LSTM) neural network to establish a deep learning model, taking stock of Zhongxing Telecommunication Equipment Corporation as the specific research object, and predicts the stock price of ZTE within two years after the outbreak of \"ZTE event\" The prediction results are compared with the actual stock price and the experimental results show that the proposed method can effectively predict the development trend of the stock. Based on the research results, this paper analyzes the future development of China's communication industry under the background of China-US trade friction, and puts forward the corresponding industry development strategy, which provides reference for the development strategy of Chinese communication enterprises.","PeriodicalId":150426,"journal":{"name":"Proceedings of the 2021 4th International Conference on Computers in Management and Business","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130572292","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":"Monitoring Model for Preventive Incident Identification and Execution of Corrective Measures in Technological Services of Organizations","authors":"Enrique Venegas, David Alcarraz, D. Rodriguez","doi":"10.1145/3450588.3450942","DOIUrl":"https://doi.org/10.1145/3450588.3450942","url":null,"abstract":"The increase in the use of IT for process management support has required organizations to make greater efforts to monitor the performance of their technological services to ensure that they provide timely and relevant information. In this context, the purpose of the research is to present a model to monitor the status of IT services that identifies incidents and mitigates their impact through preventive actions. The model has been built by applying process design, incident management, and process indicator monitoring concepts. Its structure is based on five components that offer the actions necessary for incident identification and monitoring, with implementation and operation processes being the transversal component. The model was validated by identifying and monitoring three incidents of the SAP ERP service, whose performances were measured in a time interval. The results show that the monitoring model allows for efficient monitoring of IT service statuses and for the execution preventive actions.","PeriodicalId":150426,"journal":{"name":"Proceedings of the 2021 4th International Conference on Computers in Management and Business","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129149611","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":"Measurement and benchmark of economic performance in the Mediterranean port sector","authors":"Azzelarab Zaoudi","doi":"10.1145/3450588.3450592","DOIUrl":"https://doi.org/10.1145/3450588.3450592","url":null,"abstract":"Over the past two decades, the hub & spoke system has significantly changed the behavior of strategic investment decisions in the port sector. Transshipment has significantly changed the composition and throughput traffic for the maritime industry, as a result, capacity has largely increased. This work aims to measure and compare the terminal economic performance based on two criteria: technical efficiency and scale efficiency for 33 container terminals in the Mediterranean basin. We have opted for the DEA (Data Envelopment Analysis) method for the measurement of the economic performance and we have used cross-sectional data for the benchmark in one point of time. DEA doesn't require any specification of the functional form. DEA as a non-parametric programming approach helps in determining the efficiency of a DMU (Decision Making Unit). The findings of this work show that 58% represents the Constant Return to Scale Technical efficiency, this result is broken down into 69% for pure technical efficiency and 83% for scale efficiency, therefore, the findings show that terminals are suffering from a shortfall in terms of overall technical efficiency. Most terminals are operating on decreasing scales. Strategic decisions in terms of investment are of major interest to the management of the container terminals sector.","PeriodicalId":150426,"journal":{"name":"Proceedings of the 2021 4th International Conference on Computers in Management and Business","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130401255","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":"Proceedings of the 2021 4th International Conference on Computers in Management and Business","authors":"","doi":"10.1145/3450588","DOIUrl":"https://doi.org/10.1145/3450588","url":null,"abstract":"","PeriodicalId":150426,"journal":{"name":"Proceedings of the 2021 4th International Conference on Computers in Management and Business","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127123982","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. Arockia, Markus Lochbrunner, T. Hanne, Rolf Dornberger
{"title":"Benchmarking Tabu Search and Simulated Annealing for the Capacitated Vehicle Routing Problem","authors":"A. Arockia, Markus Lochbrunner, T. Hanne, Rolf Dornberger","doi":"10.1145/3450588.3450940","DOIUrl":"https://doi.org/10.1145/3450588.3450940","url":null,"abstract":"This paper addresses the Capacitated Vehicle Routing Problem (CVRP) consisting of a single depot and several customers that are supplied with goods by capacitated vehicles from a depot. The main objective of the vehicle routing problem is to minimize the traveled distance of all vehicles. We compare the Tabu Search (TS) and Simulated Annealing (SA) algorithm with different initial solution strategies to solve the CVRP. We run the publicly available solver on a set of benchmark problems comparing above mentioned methods and initial solutions. The results show that TS appears superior for small-sized problems, while SA has an advantage for mid-sized problems. For larger problems the preferability of a methods depends on the available run time with SA appear promising for shorter runtime and TS for longer.","PeriodicalId":150426,"journal":{"name":"Proceedings of the 2021 4th International Conference on Computers in Management and Business","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127279124","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}