Pub Date : 2023-10-15DOI: 10.17559/tv-20230205000321
{"title":"Current Situation and Measures of Environment Affected by Mine Water in Hunan Limin Coal Mine","authors":"","doi":"10.17559/tv-20230205000321","DOIUrl":"https://doi.org/10.17559/tv-20230205000321","url":null,"abstract":"","PeriodicalId":49443,"journal":{"name":"Tehnicki Vjesnik-Technical Gazette","volume":"53 1","pages":""},"PeriodicalIF":0.9,"publicationDate":"2023-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90987812","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-15DOI: 10.17559/tv-20230224000379
Haining Yang, Xuedong Gao, Wei Cui
: The characteristics of high dimension, complexity and multi granularity of financial time series make it difficult to deal with effectively. In order to solve the problem that the commonly used dimensionality reduction methods cannot reduce the dimensionality of time series with different granularity at the same time, in this paper, a method for dimensionality reduction of time series based on trend division is proposed. This method extracts the extreme value points of time series, identifies the important points in time series quickly and accurately, and compresses them. Experimental results show that, compared with the discrete Fourier transform and wavelet transform, the proposed method can effectively process data of different granularity and different trends on the basis of fully preserving the original information of time series. Moreover, the time complexity is low, the operation is easy, and the proposed method can provide decision support for high-frequency stock trading at the actual level.
{"title":"A Research on Dimension Reduction Method of Time Series Based on Trend Division","authors":"Haining Yang, Xuedong Gao, Wei Cui","doi":"10.17559/tv-20230224000379","DOIUrl":"https://doi.org/10.17559/tv-20230224000379","url":null,"abstract":": The characteristics of high dimension, complexity and multi granularity of financial time series make it difficult to deal with effectively. In order to solve the problem that the commonly used dimensionality reduction methods cannot reduce the dimensionality of time series with different granularity at the same time, in this paper, a method for dimensionality reduction of time series based on trend division is proposed. This method extracts the extreme value points of time series, identifies the important points in time series quickly and accurately, and compresses them. Experimental results show that, compared with the discrete Fourier transform and wavelet transform, the proposed method can effectively process data of different granularity and different trends on the basis of fully preserving the original information of time series. Moreover, the time complexity is low, the operation is easy, and the proposed method can provide decision support for high-frequency stock trading at the actual level.","PeriodicalId":49443,"journal":{"name":"Tehnicki Vjesnik-Technical Gazette","volume":"59 2 1","pages":""},"PeriodicalIF":0.9,"publicationDate":"2023-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87724275","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-15DOI: 10.17559/tv-20230601000689
Tiangui Luo, Jingwen Sun, Geriletu Zhang, Zhendong Li, Chengfeng Li
: With the advancement of modernization, high energy consumption buildings can no longer meet the needs of social development. Under the background of low carbon and energy saving, the development of green buildings has become the only way, but its energy-saving design effect needs to be further studied. Aiming at lighting and energy consumption, this study carried out multi-factor optimization analysis based on genetic algorithm on factors such as windowing ratio, wall heat transfer coefficient, window heat transfer coefficient, window transmittance and roof insulation coefficient. Firstly, the theory and technical scheme of applying data mining technology to solve the energy-saving design problems of different buildings are proposed and implemented, including the design of new and existing buildings, as well as the determination of decisive parameters and non-decisive parameters. Secondly, computer simulation and theoretical analysis are used to optimize the analysis of the building scheme, so as to find the optimal design range of each influencing factor and the optimal design method of green low-energy building. Multi-factor optimization theory and genetic algorithm principle are summarized, and the heat transfer coefficient of external wall and window of the building is selected as the optimization variable, so as to achieve low energy consumption and enclosure cost of the building. Aiming at better thermal comfort, an optimization model was established. Finally, through empirical research, an energy-saving plan was designed, and genetic algorithm was used to obtain the optimal solution for maximizing the incremental benefits obtained by unit input incremental cost. The results indicate that the ideal incremental benefits come from a reasonable and effective combination of technologies, mainly from air conditioning systems and lighting systems; the setting of the benchmark return rate will directly affect the optimization effect of energy-saving plans, providing decision-makers with the optimal combination of energy-saving technologies.
{"title":"Analysis of Influencing Factors of Green Building Energy Consumption Based on Genetic Algorithm","authors":"Tiangui Luo, Jingwen Sun, Geriletu Zhang, Zhendong Li, Chengfeng Li","doi":"10.17559/tv-20230601000689","DOIUrl":"https://doi.org/10.17559/tv-20230601000689","url":null,"abstract":": With the advancement of modernization, high energy consumption buildings can no longer meet the needs of social development. Under the background of low carbon and energy saving, the development of green buildings has become the only way, but its energy-saving design effect needs to be further studied. Aiming at lighting and energy consumption, this study carried out multi-factor optimization analysis based on genetic algorithm on factors such as windowing ratio, wall heat transfer coefficient, window heat transfer coefficient, window transmittance and roof insulation coefficient. Firstly, the theory and technical scheme of applying data mining technology to solve the energy-saving design problems of different buildings are proposed and implemented, including the design of new and existing buildings, as well as the determination of decisive parameters and non-decisive parameters. Secondly, computer simulation and theoretical analysis are used to optimize the analysis of the building scheme, so as to find the optimal design range of each influencing factor and the optimal design method of green low-energy building. Multi-factor optimization theory and genetic algorithm principle are summarized, and the heat transfer coefficient of external wall and window of the building is selected as the optimization variable, so as to achieve low energy consumption and enclosure cost of the building. Aiming at better thermal comfort, an optimization model was established. Finally, through empirical research, an energy-saving plan was designed, and genetic algorithm was used to obtain the optimal solution for maximizing the incremental benefits obtained by unit input incremental cost. The results indicate that the ideal incremental benefits come from a reasonable and effective combination of technologies, mainly from air conditioning systems and lighting systems; the setting of the benchmark return rate will directly affect the optimization effect of energy-saving plans, providing decision-makers with the optimal combination of energy-saving technologies.","PeriodicalId":49443,"journal":{"name":"Tehnicki Vjesnik-Technical Gazette","volume":"50 1","pages":""},"PeriodicalIF":0.9,"publicationDate":"2023-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88998271","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-15DOI: 10.17559/tv-20230125000272
Anamarija Banaj, Đ. U. Banaj, Ć. IvanVIDAKOVI, G. P. Č. Arek, Postdoctoral Researcher
: The paper presents the results of comparative wearing of cultivator hoes protected with two different materials with regard to the lifespan of the blades. During the operation of the hoes outside the track of the tractor wheels with protected blades of materials M1 and M2, equal wear of mass and surface was recorded. The hoes lost an average of 0,563 g/ha cultivated area or an average of 119,46 g with a standard deviation of 2,876 when working with both blades in compacted soil (in the tracks of tractor wheels) protected by M1 material. For hoes protected by M2 material, the average loss was 0,566 g/ha of cultivated area or an average of 120,10 g for the research period with a standard deviation of 4,609. Both materials in the most difficult working conditions showed equal resistance to wear and retention of the initial shape of the hoe.
{"title":"Selection of Materials for the Protection of the Hoe Blades of the Inter-Row Cultivator","authors":"Anamarija Banaj, Đ. U. Banaj, Ć. IvanVIDAKOVI, G. P. Č. Arek, Postdoctoral Researcher","doi":"10.17559/tv-20230125000272","DOIUrl":"https://doi.org/10.17559/tv-20230125000272","url":null,"abstract":": The paper presents the results of comparative wearing of cultivator hoes protected with two different materials with regard to the lifespan of the blades. During the operation of the hoes outside the track of the tractor wheels with protected blades of materials M1 and M2, equal wear of mass and surface was recorded. The hoes lost an average of 0,563 g/ha cultivated area or an average of 119,46 g with a standard deviation of 2,876 when working with both blades in compacted soil (in the tracks of tractor wheels) protected by M1 material. For hoes protected by M2 material, the average loss was 0,566 g/ha of cultivated area or an average of 120,10 g for the research period with a standard deviation of 4,609. Both materials in the most difficult working conditions showed equal resistance to wear and retention of the initial shape of the hoe.","PeriodicalId":49443,"journal":{"name":"Tehnicki Vjesnik-Technical Gazette","volume":"40 1","pages":""},"PeriodicalIF":0.9,"publicationDate":"2023-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88374340","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-15DOI: 10.17559/tv-20221204145747
{"title":"Experimental Investigation on the Feasibility and Optimal Frequency of Ultrasonic Assisted Ice Drilling Method","authors":"","doi":"10.17559/tv-20221204145747","DOIUrl":"https://doi.org/10.17559/tv-20221204145747","url":null,"abstract":"","PeriodicalId":49443,"journal":{"name":"Tehnicki Vjesnik-Technical Gazette","volume":"1 1","pages":""},"PeriodicalIF":0.9,"publicationDate":"2023-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91240745","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-15DOI: 10.17559/tv-20230308000422
{"title":"The Influence of Material Storage on Mechanical Properties and Deterioration of Composite Materials","authors":"","doi":"10.17559/tv-20230308000422","DOIUrl":"https://doi.org/10.17559/tv-20230308000422","url":null,"abstract":"","PeriodicalId":49443,"journal":{"name":"Tehnicki Vjesnik-Technical Gazette","volume":"77 1","pages":""},"PeriodicalIF":0.9,"publicationDate":"2023-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91001282","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-15DOI: 10.17559/tv-20230127000274
LI Huan, Hongxu Chen, Yulin Wang
: Shunting for taking-out and placing-in of wagons (STPW) is an important work of freight stations, technical stations with more cargo operations, and large intermediate stations.The sequence optimization of STPW can effectively reduce the total shunting time and reduce operating costs, which is of great significance. When the optimization goal is to minimize the total shunting time, there will be many optimal solutions. Therefore, it is necessary to introduce a second optimization objective in order to seek a more reasonable solution from numerous optimal solutions. However, there is no relevant research on this in existing literature. In response to this situation, this paper proposes two optimization objectives: the first is to minimize the total time of STPW, and the second is to minimize the wagon-hour based on minimizing the total time of STPW. Based on the above two optimization objectives, a mathematical model is established, and a three-stage optimization solution strategy is proposed. The first stage is to solve the first optimization objective by using the improved ant colony algorithm; the second stage is to introduce and improve the crossover operation of the genetic algorithm to improve the diversity of the optimal path; the third stage is to solve the second optimization objective. Finally, an example is given to verify the feasibility of the model and the solution strategy.
{"title":"The Sequence Optimization of the Railway Tree-Shaped Special Line's Shunting for Taking-out and Placing-in of Wagons","authors":"LI Huan, Hongxu Chen, Yulin Wang","doi":"10.17559/tv-20230127000274","DOIUrl":"https://doi.org/10.17559/tv-20230127000274","url":null,"abstract":": Shunting for taking-out and placing-in of wagons (STPW) is an important work of freight stations, technical stations with more cargo operations, and large intermediate stations.The sequence optimization of STPW can effectively reduce the total shunting time and reduce operating costs, which is of great significance. When the optimization goal is to minimize the total shunting time, there will be many optimal solutions. Therefore, it is necessary to introduce a second optimization objective in order to seek a more reasonable solution from numerous optimal solutions. However, there is no relevant research on this in existing literature. In response to this situation, this paper proposes two optimization objectives: the first is to minimize the total time of STPW, and the second is to minimize the wagon-hour based on minimizing the total time of STPW. Based on the above two optimization objectives, a mathematical model is established, and a three-stage optimization solution strategy is proposed. The first stage is to solve the first optimization objective by using the improved ant colony algorithm; the second stage is to introduce and improve the crossover operation of the genetic algorithm to improve the diversity of the optimal path; the third stage is to solve the second optimization objective. Finally, an example is given to verify the feasibility of the model and the solution strategy.","PeriodicalId":49443,"journal":{"name":"Tehnicki Vjesnik-Technical Gazette","volume":"49 1","pages":""},"PeriodicalIF":0.9,"publicationDate":"2023-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77851716","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-15DOI: 10.17559/tv-20230227000384
TU Qun, Guining Geng, Qianqian Zhang
: An accurate and reliable forecasting method of the subway passenger flow provides the operators with more valuable reference to make decisions, especially in reducing energy consumption and controlling potential risks. However, due to the non-recurrence and inconsistency of large events (such as sports games, concerts or urban marathons), predicting passenger flow under large events has become a very challenging task. This paper proposes a method for extracting event-related information from websites and constructing a multi-step station-level passenger flow prediction model called DeepSPE (Deep Learning for Subway Passenger Flow Forecasting under Events). Experiments on the actual data set of the Beijing subway prove the superiority of the model and the effectiveness of website data in subway passenger flow forecasting under events.
一种准确可靠的地铁客流预测方法，为运营商的决策提供了更有价值的参考，特别是在降低能耗和控制潜在风险方面。然而，由于大型赛事(如运动会、音乐会或城市马拉松)的非重复性和不一致性，预测大型赛事下的客流已经成为一项非常具有挑战性的任务。本文提出了一种从网站中提取事件相关信息的方法，并构建了一个多步骤的车站级客流预测模型DeepSPE (Deep Learning for Subway passenger flow Forecasting under Events)。在北京地铁实际数据集上的实验证明了该模型的优越性和网站数据在事件下地铁客流预测中的有效性。
{"title":"Multi-Step Subway Passenger Flow Prediction under Large Events Using Website Data","authors":"TU Qun, Guining Geng, Qianqian Zhang","doi":"10.17559/tv-20230227000384","DOIUrl":"https://doi.org/10.17559/tv-20230227000384","url":null,"abstract":": An accurate and reliable forecasting method of the subway passenger flow provides the operators with more valuable reference to make decisions, especially in reducing energy consumption and controlling potential risks. However, due to the non-recurrence and inconsistency of large events (such as sports games, concerts or urban marathons), predicting passenger flow under large events has become a very challenging task. This paper proposes a method for extracting event-related information from websites and constructing a multi-step station-level passenger flow prediction model called DeepSPE (Deep Learning for Subway Passenger Flow Forecasting under Events). Experiments on the actual data set of the Beijing subway prove the superiority of the model and the effectiveness of website data in subway passenger flow forecasting under events.","PeriodicalId":49443,"journal":{"name":"Tehnicki Vjesnik-Technical Gazette","volume":"30 1","pages":""},"PeriodicalIF":0.9,"publicationDate":"2023-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83667628","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-15DOI: 10.17559/tv-20221018114614
Jianhua Dai, Shuanglei Xu
: With the improvement of international division of labor and cooperation and the refinement of production process division, the global value chain division of labor system is becoming the latest mode of product division. In order to deeply analyze and explore the research status and development trend in the field of global value chain, based on the Web of Science core collection SCIE and SSCI database, this paper uses the literature metrology method and CiteSpace software to conduct a visual analysis of the literature in the field of global value chain. The study discovered research hotspots, research processes, development frontiers, research distribution, and citation status of global value chains. We have comprehensively grasped the literature status of global value chain research, providing scholars with new research directions, and also providing strong reference and guidance for investment decision-making of multinational corporations and trade policy formulation of countries and international organizations.
随着国际分工合作水平的提高和生产过程分工的细化，全球价值链分工体系正在成为产品分工的最新模式。为了深入分析和探讨全球价值链领域的研究现状和发展趋势，本文基于Web of Science核心文集SCIE和SSCI数据库，运用文献计量学方法和CiteSpace软件对全球价值链领域的文献进行了可视化分析。研究发现了全球价值链的研究热点、研究进程、发展前沿、研究分布和被引现状。全面把握了全球价值链研究的文献现状，为学者提供了新的研究方向，也为跨国公司的投资决策以及国家和国际组织的贸易政策制定提供了强有力的参考和指导。
{"title":"Analysis of the Research Trend of Global Value Chain Based on Literature Metrology and Visualization Technology","authors":"Jianhua Dai, Shuanglei Xu","doi":"10.17559/tv-20221018114614","DOIUrl":"https://doi.org/10.17559/tv-20221018114614","url":null,"abstract":": With the improvement of international division of labor and cooperation and the refinement of production process division, the global value chain division of labor system is becoming the latest mode of product division. In order to deeply analyze and explore the research status and development trend in the field of global value chain, based on the Web of Science core collection SCIE and SSCI database, this paper uses the literature metrology method and CiteSpace software to conduct a visual analysis of the literature in the field of global value chain. The study discovered research hotspots, research processes, development frontiers, research distribution, and citation status of global value chains. We have comprehensively grasped the literature status of global value chain research, providing scholars with new research directions, and also providing strong reference and guidance for investment decision-making of multinational corporations and trade policy formulation of countries and international organizations.","PeriodicalId":49443,"journal":{"name":"Tehnicki Vjesnik-Technical Gazette","volume":"36 1","pages":""},"PeriodicalIF":0.9,"publicationDate":"2023-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75835144","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-15DOI: 10.17559/tv-20230103000080
{"title":"Added Qualities of New Interventions within the Historic Built Environment","authors":"","doi":"10.17559/tv-20230103000080","DOIUrl":"https://doi.org/10.17559/tv-20230103000080","url":null,"abstract":"","PeriodicalId":49443,"journal":{"name":"Tehnicki Vjesnik-Technical Gazette","volume":"14 1","pages":""},"PeriodicalIF":0.9,"publicationDate":"2023-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82995944","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：