Pub Date : 2024-06-15DOI: 10.17559/tv-20240208001319
Igor Sutlovi, Ć. VlatkaBOŽI, P. Raos, Ć. AnaSUTLOVI
: Food, energy and water are the welfare of the whole mankind, but unfortunately they are often used to blackmail those who suffer from their lack. In this light the influence of the European Union Trading System in the field of mineral fertilizer production is analysed. Based on the available data for mineral fertilizer plant free allocation for the emission of greenhouse gases, predominantly carbon dioxide and in smaller part nitric oxide, is calculated. Determining of the internal mass and energy fluxes is very challenging due to the fact that required pieces of information are not publicly available. Thus, the volume of ammonia and natural gas used in the energy balance is assumed to allow the calculation of preliminary free emissions in the production of ammonia and nitric acid subsection and for heat and fuel. Also, benchmarks and carbon leakage exposure factors are set by the European Commission and taken for the fourth trading period. Historic activity level is calculated from available data. The discussion is aimed at assessing the impact of allotted and measured emissions and their financial impact to agricultural activity.
{"title":"Determination of FreeCarbon Dioxide Emissions in Mineral Fertilizers Production","authors":"Igor Sutlovi, Ć. VlatkaBOŽI, P. Raos, Ć. AnaSUTLOVI","doi":"10.17559/tv-20240208001319","DOIUrl":"https://doi.org/10.17559/tv-20240208001319","url":null,"abstract":": Food, energy and water are the welfare of the whole mankind, but unfortunately they are often used to blackmail those who suffer from their lack. In this light the influence of the European Union Trading System in the field of mineral fertilizer production is analysed. Based on the available data for mineral fertilizer plant free allocation for the emission of greenhouse gases, predominantly carbon dioxide and in smaller part nitric oxide, is calculated. Determining of the internal mass and energy fluxes is very challenging due to the fact that required pieces of information are not publicly available. Thus, the volume of ammonia and natural gas used in the energy balance is assumed to allow the calculation of preliminary free emissions in the production of ammonia and nitric acid subsection and for heat and fuel. Also, benchmarks and carbon leakage exposure factors are set by the European Commission and taken for the fourth trading period. Historic activity level is calculated from available data. The discussion is aimed at assessing the impact of allotted and measured emissions and their financial impact to agricultural activity.","PeriodicalId":510054,"journal":{"name":"Tehnicki vjesnik - Technical Gazette","volume":"5 9","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141336021","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}
Pub Date : 2024-06-15DOI: 10.17559/tv-20230808000859
JiLan Huang, ZhiXiong Jin
: Image denoising is essential for numerous image processing applications, where image noise can profoundly impact processing efficiency and output quality. Addressing the challenge of inflexible reference images in unconditional diffusion probability models and enhancing image denoising performance is of paramount importance. In this research, we propose a novel image denoising model based on component decoupling and introduce sensitivity decoupling operators to prevent entanglement and redundancy among different decoupling models. Additionally, we leverage a model-driven network to fuse image components, resisting noise and model degradation, thereby aiding network convergence. Subsequently, we construct an image adaptive denoising model incorporating diffusion probability and dictionary learning. Experimental results demonstrate the superiority of the proposed approach over other algorithms in grayscale image processing on the Set12 dataset, achieving a peak signal-to-noise ratio (PSNR) of 35.75 dB and an average structural similarity (SSIM) value of 92.68%. Similarly, on the BSD68 dataset, our algorithm outperforms others with a PSNR of 34.35 dB and an average SSIM of 93.89%. Furthermore, for colour image processing, our method yields higher PSNR and average SSIM compared to other approaches. The findings indicate a significant improvement in denoising effectiveness compared to prior methods, highlighting the practical value of the proposed image denoising algorithm.
{"title":"Enhanced Image Denoising with Diffusion Probability and Dictionary Learning Adaptation","authors":"JiLan Huang, ZhiXiong Jin","doi":"10.17559/tv-20230808000859","DOIUrl":"https://doi.org/10.17559/tv-20230808000859","url":null,"abstract":": Image denoising is essential for numerous image processing applications, where image noise can profoundly impact processing efficiency and output quality. Addressing the challenge of inflexible reference images in unconditional diffusion probability models and enhancing image denoising performance is of paramount importance. In this research, we propose a novel image denoising model based on component decoupling and introduce sensitivity decoupling operators to prevent entanglement and redundancy among different decoupling models. Additionally, we leverage a model-driven network to fuse image components, resisting noise and model degradation, thereby aiding network convergence. Subsequently, we construct an image adaptive denoising model incorporating diffusion probability and dictionary learning. Experimental results demonstrate the superiority of the proposed approach over other algorithms in grayscale image processing on the Set12 dataset, achieving a peak signal-to-noise ratio (PSNR) of 35.75 dB and an average structural similarity (SSIM) value of 92.68%. Similarly, on the BSD68 dataset, our algorithm outperforms others with a PSNR of 34.35 dB and an average SSIM of 93.89%. Furthermore, for colour image processing, our method yields higher PSNR and average SSIM compared to other approaches. The findings indicate a significant improvement in denoising effectiveness compared to prior methods, highlighting the practical value of the proposed image denoising algorithm.","PeriodicalId":510054,"journal":{"name":"Tehnicki vjesnik - Technical Gazette","volume":"6 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141336616","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}
Pub Date : 2024-06-15DOI: 10.17559/tv-20231121001135
Yongxiang He, Jinghua Song, Wenjun Ouyang
: The digital economy has emerged as a significant catalyst for economic expansion on a global scale, and this trend is evident in China. China is emerging as a dominant force in the digital economy and manufacturing industry due to its burgeoning entrepreneurial culture and emphasis on top-notch development. The present study investigates the interplay among the digital economy, entrepreneurship, and the high-quality development of the manufacturing industry in China. This paper comprehensively analyzes the current digital economy and entrepreneurship status in China. It examines the policies and initiatives to foster high-quality development in the manufacturing sector. This paper investigates the influence of digital technologies on productivity and efficiency within the manufacturing industry. It presents an analysis of data and case studies to underscore the notable advancements achieved by China in the digital economy and manufacturing sector while acknowledging the obstacles that remain to be overcome. The results indicate that prioritizing digital technologies, innovation, and entrepreneurship can bolster the manufacturing sector's competitiveness, resulting in sustainable economic expansion and progress. The investigation recognizes the obstacles that necessitate resolution to completely actualize the possibilities of the digital economy and entrepreneurship within the manufacturing sector, utilizing the Multi-Criteria Decision Making (MCDM) approach. The paper advocates for increased cooperation among government, industry, and academia to cultivate a conducive environment for digital entrepreneurship. This collaboration facilitates the manufacturing industry's ability to leverage the digital era's opportunities.
{"title":"Digital Economy, Entrepreneurship, and High-Quality Development of the Manufacturing Industry","authors":"Yongxiang He, Jinghua Song, Wenjun Ouyang","doi":"10.17559/tv-20231121001135","DOIUrl":"https://doi.org/10.17559/tv-20231121001135","url":null,"abstract":": The digital economy has emerged as a significant catalyst for economic expansion on a global scale, and this trend is evident in China. China is emerging as a dominant force in the digital economy and manufacturing industry due to its burgeoning entrepreneurial culture and emphasis on top-notch development. The present study investigates the interplay among the digital economy, entrepreneurship, and the high-quality development of the manufacturing industry in China. This paper comprehensively analyzes the current digital economy and entrepreneurship status in China. It examines the policies and initiatives to foster high-quality development in the manufacturing sector. This paper investigates the influence of digital technologies on productivity and efficiency within the manufacturing industry. It presents an analysis of data and case studies to underscore the notable advancements achieved by China in the digital economy and manufacturing sector while acknowledging the obstacles that remain to be overcome. The results indicate that prioritizing digital technologies, innovation, and entrepreneurship can bolster the manufacturing sector's competitiveness, resulting in sustainable economic expansion and progress. The investigation recognizes the obstacles that necessitate resolution to completely actualize the possibilities of the digital economy and entrepreneurship within the manufacturing sector, utilizing the Multi-Criteria Decision Making (MCDM) approach. The paper advocates for increased cooperation among government, industry, and academia to cultivate a conducive environment for digital entrepreneurship. This collaboration facilitates the manufacturing industry's ability to leverage the digital era's opportunities.","PeriodicalId":510054,"journal":{"name":"Tehnicki vjesnik - Technical Gazette","volume":"3 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141336789","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}
: Over the past few decades, the use of non-renewable energy has progressively expanded, harming the environment. In this investigation, 4-stroke single-cylinder Reactivity Controlled Compression Ignition (RCCI) engine performance and emission behaviour are reduced with the help of running fuel. 20% Juliflora biodiesel and 80% diesel are used as high-reactive fuel (HRF) and Ethanol is used as the low-reactive fuel (LRF). The RCCI engine is evaluated at different input conditions by varying engine load from 0 to 100 (0, 25, 50, 75, and 100%) and LRF percentage from 30 to 60 (30, 40, 50 and 60%). Additionally Exhaust Gas Recirculation (EGR) is used to enhance the RCCI engine emission behaviour and performance.The studied output performance of RCCI engine are cylinder pressure (CP), brake thermal efficiency (BTE), heat release rate (HRR), and brake-specific fuel consumption (BSFC) respectively. Also, unburned hydrocarbon (HC), carbon monoxide (CO), nitrogen oxides (NO X ), and smoke opacity (SO) are calculated on the RCCI engine for all input condition. The test results are further optimized with the help of hybrid deep belief neural network based Aquila optimization method. The proposed hybrid DBN-AO has performed better than conventional DBN method.The predicted optimal value is obtained from the regression and average regression coefficients of 0.99961. The predicted optimum values are load 80%, LRF60%, and EGR 15%, respectively. The confirmatory error analysis has shown BTE (3.7%), BSFC (4%), SO (4.7%), HC (7.775%), CO (3.44%) and NOx (3.46%) respectively. The EGR application reduces the RCCI engine emission behaviour in loading condition.
{"title":"Study and Optimization of Ethanol (LRF) Juliflora Biodiesel (HRF) Fuelled RCCI Engine with and without EGR System","authors":"Manivannan Ramachandran, Neelakrishnan Subramanyan","doi":"10.17559/tv-20230817000892","DOIUrl":"https://doi.org/10.17559/tv-20230817000892","url":null,"abstract":": Over the past few decades, the use of non-renewable energy has progressively expanded, harming the environment. In this investigation, 4-stroke single-cylinder Reactivity Controlled Compression Ignition (RCCI) engine performance and emission behaviour are reduced with the help of running fuel. 20% Juliflora biodiesel and 80% diesel are used as high-reactive fuel (HRF) and Ethanol is used as the low-reactive fuel (LRF). The RCCI engine is evaluated at different input conditions by varying engine load from 0 to 100 (0, 25, 50, 75, and 100%) and LRF percentage from 30 to 60 (30, 40, 50 and 60%). Additionally Exhaust Gas Recirculation (EGR) is used to enhance the RCCI engine emission behaviour and performance.The studied output performance of RCCI engine are cylinder pressure (CP), brake thermal efficiency (BTE), heat release rate (HRR), and brake-specific fuel consumption (BSFC) respectively. Also, unburned hydrocarbon (HC), carbon monoxide (CO), nitrogen oxides (NO X ), and smoke opacity (SO) are calculated on the RCCI engine for all input condition. The test results are further optimized with the help of hybrid deep belief neural network based Aquila optimization method. The proposed hybrid DBN-AO has performed better than conventional DBN method.The predicted optimal value is obtained from the regression and average regression coefficients of 0.99961. The predicted optimum values are load 80%, LRF60%, and EGR 15%, respectively. The confirmatory error analysis has shown BTE (3.7%), BSFC (4%), SO (4.7%), HC (7.775%), CO (3.44%) and NOx (3.46%) respectively. The EGR application reduces the RCCI engine emission behaviour in loading condition.","PeriodicalId":510054,"journal":{"name":"Tehnicki vjesnik - Technical Gazette","volume":"5 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141336279","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}
Pub Date : 2024-06-15DOI: 10.17559/tv-20240207001318
D. Markovi, Ć. AleksandarSTANKOVI, Ć. DraganMARINKOVI, AR DraganPAMUČ
: This paper examines the challenge of integrated production and distribution, aiming to deliver products to customers precisely on time. Customers, situated within the transportation network, have predefined requirements regarding demand volume and time frames. In the first phase ( F 1 ), the problem of planning and allocation of resources is presented as FJSP, while the second phase ( F 2 ) addresses the vehicle routing problem as CVRPTW. The first phase, F 1 , aims to optimize manufacturing processes by appropriately scheduling production tasks to maximize productivity and minimize the time of task execution on machines. Phase 2, F 2 , encompasses the process of distribution to customers, seeking to minimize the number of vehicles, delivery time, and overall distance travelled. As both problems are among the most challenging in combinatorial optimization, integrating these phases into a single supply chain system poses a significant challenge in problem-solving. A mathematical formulation has been developed to include planning and task allocation in production, as well as vehicle routing, to obtain an optimal solution to the integrated problem. The input data used in the observed case study represent real data in both the first and second phases, forming one integrated supply chain system. Experimental results support the applied methodology.
:本文探讨了生产与配送一体化所面临的挑战，其目标是将产品准时送到客户手中。位于运输网络内的客户对需求量和时限有预先确定的要求。在第一阶段（F 1）中，资源规划和分配问题以 FJSP 的形式呈现，而第二阶段（F 2）则以 CVRPTW 的形式解决车辆路由问题。第一阶段（F 1）的目标是通过合理安排生产任务来优化生产流程，从而最大限度地提高生产率，并最大限度地减少任务在机器上的执行时间。第二阶段，即 F 2，包括向客户配送的过程，寻求车辆数量、配送时间和总路程的最小化。由于这两个问题都是组合优化中最具挑战性的问题，因此将这些阶段整合到一个单一的供应链系统中对解决问题提出了巨大的挑战。我们开发了一种数学公式，将生产中的计划和任务分配以及车辆路线纳入其中，以获得综合问题的最优解。观察案例研究中使用的输入数据代表了第一和第二阶段的真实数据，形成了一个集成的供应链系统。实验结果支持所应用的方法。
{"title":"Metaheuristic Algorithms for the Optimization of Integrated Production Scheduling and Vehicle Routing Problems in Supply Chains","authors":"D. Markovi, Ć. AleksandarSTANKOVI, Ć. DraganMARINKOVI, AR DraganPAMUČ","doi":"10.17559/tv-20240207001318","DOIUrl":"https://doi.org/10.17559/tv-20240207001318","url":null,"abstract":": This paper examines the challenge of integrated production and distribution, aiming to deliver products to customers precisely on time. Customers, situated within the transportation network, have predefined requirements regarding demand volume and time frames. In the first phase ( F 1 ), the problem of planning and allocation of resources is presented as FJSP, while the second phase ( F 2 ) addresses the vehicle routing problem as CVRPTW. The first phase, F 1 , aims to optimize manufacturing processes by appropriately scheduling production tasks to maximize productivity and minimize the time of task execution on machines. Phase 2, F 2 , encompasses the process of distribution to customers, seeking to minimize the number of vehicles, delivery time, and overall distance travelled. As both problems are among the most challenging in combinatorial optimization, integrating these phases into a single supply chain system poses a significant challenge in problem-solving. A mathematical formulation has been developed to include planning and task allocation in production, as well as vehicle routing, to obtain an optimal solution to the integrated problem. The input data used in the observed case study represent real data in both the first and second phases, forming one integrated supply chain system. Experimental results support the applied methodology.","PeriodicalId":510054,"journal":{"name":"Tehnicki vjesnik - Technical Gazette","volume":"2 11","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141337416","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}
Pub Date : 2024-06-15DOI: 10.17559/tv-20230913000937
Asma Boukhchana, Mohamed Naoui, A. Flah, Habib Kraiem
: Using dynamic wireless charging systems in conjunction with electric vehicles (EV) could revolutionize transportation in the future by enabling faster driving and non-stop battery charging. Dynamic wireless power transfer can fix the autonomy problems with electric vehicles. The fact that this charging device gets its power from the electrical grid has some serious drawbacks, too. Utilizing alternate sources, like PV generators, is therefore seen to be a potential answer. This study aims to illustrate the advantages that can arise from the interplay of renewable energy sources with wireless recharge systems for electric vehicles in this environment. Therefore, this paper is built and has regrouped the needed sections that can define the wireless recharge concept based on an alternative energy source. Simulation results were adapted by the Matlab Simulink platform, where more than one situation is tested and examined. This is by testing the influence of the vehicle ꞌ s speed on the wireless charging performances and by testing what effect can be done if the climatic conditions are varied, especially on the global performances of the wireless recharge tool.
{"title":"Impacts and Proficiency of Merging the Photovoltaic and Wireless Charging System for Electrical Transportation Sector","authors":"Asma Boukhchana, Mohamed Naoui, A. Flah, Habib Kraiem","doi":"10.17559/tv-20230913000937","DOIUrl":"https://doi.org/10.17559/tv-20230913000937","url":null,"abstract":": Using dynamic wireless charging systems in conjunction with electric vehicles (EV) could revolutionize transportation in the future by enabling faster driving and non-stop battery charging. Dynamic wireless power transfer can fix the autonomy problems with electric vehicles. The fact that this charging device gets its power from the electrical grid has some serious drawbacks, too. Utilizing alternate sources, like PV generators, is therefore seen to be a potential answer. This study aims to illustrate the advantages that can arise from the interplay of renewable energy sources with wireless recharge systems for electric vehicles in this environment. Therefore, this paper is built and has regrouped the needed sections that can define the wireless recharge concept based on an alternative energy source. Simulation results were adapted by the Matlab Simulink platform, where more than one situation is tested and examined. This is by testing the influence of the vehicle ꞌ s speed on the wireless charging performances and by testing what effect can be done if the climatic conditions are varied, especially on the global performances of the wireless recharge tool.","PeriodicalId":510054,"journal":{"name":"Tehnicki vjesnik - Technical Gazette","volume":"6 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141337537","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}
: E-governance is capable of driving the transition of government from an administrative power allocation of public resources to a citizen-service-oriented governance model. However, during this transformation, various governmental bodies often face the challenge of "data silos" caused by factors such as cross-regional, cross-business, and cross-departmental operations. Without altering the existing information platforms, transparent access technology serves as a key solution for data access within e-governance systems. It enables convenient access to information resources stored in different mediums and formats, facilitating the sharing and consolidation of information and data within and between governmental departments, thereby addressing the issue of "data silos" and enhancing the comprehensive service capabilities of e-governance. This paper firstly provides an overview of the concept, levels, characteristics, and application scenarios of transparent access to government big data. Secondly, it conducts a comprehensive comparative analysis of transparent access technologies in the context of cloud computing and big data. Lastly, based on the requirements of various transparent access technologies and the application of transparent access to government big data, this paper proposes a visionary framework for transparent access to government big data based on cross-domain semantics and channel coupling. This framework includes modules for cross-domain semantic interoperability, coupling of heterogeneous information channels based on knowledge graph, and tracing of multi-source heterogeneous data, aiming to provide innovative solutions for achieving transparent access to government big data.
{"title":"Research on Transparent Access Technology of Government Big Data","authors":"Honghui Li, XU Yi, Yunjuan Peng, Xiaorui Yang, Dalin Zhang","doi":"10.17559/tv-20230630000775","DOIUrl":"https://doi.org/10.17559/tv-20230630000775","url":null,"abstract":": E-governance is capable of driving the transition of government from an administrative power allocation of public resources to a citizen-service-oriented governance model. However, during this transformation, various governmental bodies often face the challenge of \"data silos\" caused by factors such as cross-regional, cross-business, and cross-departmental operations. Without altering the existing information platforms, transparent access technology serves as a key solution for data access within e-governance systems. It enables convenient access to information resources stored in different mediums and formats, facilitating the sharing and consolidation of information and data within and between governmental departments, thereby addressing the issue of \"data silos\" and enhancing the comprehensive service capabilities of e-governance. This paper firstly provides an overview of the concept, levels, characteristics, and application scenarios of transparent access to government big data. Secondly, it conducts a comprehensive comparative analysis of transparent access technologies in the context of cloud computing and big data. Lastly, based on the requirements of various transparent access technologies and the application of transparent access to government big data, this paper proposes a visionary framework for transparent access to government big data based on cross-domain semantics and channel coupling. This framework includes modules for cross-domain semantic interoperability, coupling of heterogeneous information channels based on knowledge graph, and tracing of multi-source heterogeneous data, aiming to provide innovative solutions for achieving transparent access to government big data.","PeriodicalId":510054,"journal":{"name":"Tehnicki vjesnik - Technical Gazette","volume":"7 8","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141337017","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}
Pub Date : 2024-06-15DOI: 10.17559/tv-20231010001012
Yang Qiu
: Borderless e-commerce originated within the international trade domain and has been significantly shaped by the societal backdrop of economic globalization and the rapid advancement of internet technologies. This evolution has given rise to numerous B2C borderless e-commerce platforms. While there has been a growing recognition of the importance of service innovation, there remains an incomplete understanding and a need for further refinement in the service evaluation system. Consequently, the scientific assessment and enhancement of service innovation capabilities have become focal points of research both domestically and internationally. Existing research has predominantly focused on the development models and challenges of import e-commerce retail platforms, with theoretical studies taking precedence. However, there is relatively limited emphasis on the evaluation and empirical analysis of service innovation capabilities in borderless e-commerce platforms. This study aims to bridge the existing research gap by constructing a scientifically accurate evaluation framework and employing statistical methods to comprehensively investigate and assess the service innovation levels of Chinese import borderless e-commerce retail platforms. To address this gap in understanding, this study has selected four import borderless e-commerce retail platforms in China as research subjects. Subsequently, an evaluation model for these import borderless e-commerce retail platforms was constructed through factor analysis to establish an evaluation index system. Then, the service innovation abilities of these four platforms were calculated and ranked within this index system using the TOPSIS model. This process facilitates a deeper exploration of the underlying reasons for their differences and provides clear developmental pathways for these platforms to bolster their service innovation capabilities. The results indicate that there exists a direct correlation between the market share and popularity of e-commerce platforms and their service innovation capabilities. Furthermore, luxury brand marketing and high market share can significantly enhance their service performance. These findings carry valuable implications for guiding the development of borderless e-commerce import platforms.
{"title":"Evaluation of the Innovation Capability of Import Borderless E-commerce Platform Based on Factor Analysis and TOPSIS Method","authors":"Yang Qiu","doi":"10.17559/tv-20231010001012","DOIUrl":"https://doi.org/10.17559/tv-20231010001012","url":null,"abstract":": Borderless e-commerce originated within the international trade domain and has been significantly shaped by the societal backdrop of economic globalization and the rapid advancement of internet technologies. This evolution has given rise to numerous B2C borderless e-commerce platforms. While there has been a growing recognition of the importance of service innovation, there remains an incomplete understanding and a need for further refinement in the service evaluation system. Consequently, the scientific assessment and enhancement of service innovation capabilities have become focal points of research both domestically and internationally. Existing research has predominantly focused on the development models and challenges of import e-commerce retail platforms, with theoretical studies taking precedence. However, there is relatively limited emphasis on the evaluation and empirical analysis of service innovation capabilities in borderless e-commerce platforms. This study aims to bridge the existing research gap by constructing a scientifically accurate evaluation framework and employing statistical methods to comprehensively investigate and assess the service innovation levels of Chinese import borderless e-commerce retail platforms. To address this gap in understanding, this study has selected four import borderless e-commerce retail platforms in China as research subjects. Subsequently, an evaluation model for these import borderless e-commerce retail platforms was constructed through factor analysis to establish an evaluation index system. Then, the service innovation abilities of these four platforms were calculated and ranked within this index system using the TOPSIS model. This process facilitates a deeper exploration of the underlying reasons for their differences and provides clear developmental pathways for these platforms to bolster their service innovation capabilities. The results indicate that there exists a direct correlation between the market share and popularity of e-commerce platforms and their service innovation capabilities. Furthermore, luxury brand marketing and high market share can significantly enhance their service performance. These findings carry valuable implications for guiding the development of borderless e-commerce import platforms.","PeriodicalId":510054,"journal":{"name":"Tehnicki vjesnik - Technical Gazette","volume":"2 11","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141336452","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}
Pub Date : 2024-06-15DOI: 10.17559/tv-20240114001266
Junpeng Zhou, Yongcun Guo
: An automatic annotation method of coal gangue image data based on X-ray acquisition is proposed. Firstly, the manually screened coal and gangue are sent to the X-ray acquisition device for image sampling. Secondly, according to the characteristics of the pure background of coal and gangue images, a gray threshold is used to detect. Further, the mask is used to purify the detected foreground objects, which obtain a single object image. At the same time, the manually screened coal/gangue is sampled and the category information of the currently detected objects is obtained at the same time, and the monomer sample database is established. Finally, based on the monomer sample library established, the monomers randomly were selected in the sample library and combined to generate sample images with classification and location. That is, the automatic annotation of coal gangue data is completed. The results show that the automatic annotation method of coal gangue image data through digital image processing can effectively annotate the collected coal gangue image data, with a high sample generation rate and annotation accuracy of 99%.
:提出了一种基于 X 射线采集的煤矸石图像数据自动标注方法。首先，将人工筛选的煤和矸石送入 X 射线采集设备进行图像采样。其次，根据煤炭和矸石图像纯背景的特征，使用灰色阈值进行检测。然后，利用掩膜对检测到的前景物体进行净化，得到单个物体图像。同时，对人工筛选出的煤/矸石进行采样，并同时获取当前检测到的物体的类别信息，建立单体样本数据库。最后，根据建立的单体样本库，在样本库中随机抽取单体，组合生成具有分类和定位功能的样本图像。即完成了煤矸石数据的自动标注。结果表明，通过数字图像处理对煤矸石图像数据进行自动标注的方法能对采集到的煤矸石图像数据进行有效标注，样本生成率高，标注准确率达 99%。
{"title":"Automatic Annotation Method of Gangue Data Based on Digital Image Processing","authors":"Junpeng Zhou, Yongcun Guo","doi":"10.17559/tv-20240114001266","DOIUrl":"https://doi.org/10.17559/tv-20240114001266","url":null,"abstract":": An automatic annotation method of coal gangue image data based on X-ray acquisition is proposed. Firstly, the manually screened coal and gangue are sent to the X-ray acquisition device for image sampling. Secondly, according to the characteristics of the pure background of coal and gangue images, a gray threshold is used to detect. Further, the mask is used to purify the detected foreground objects, which obtain a single object image. At the same time, the manually screened coal/gangue is sampled and the category information of the currently detected objects is obtained at the same time, and the monomer sample database is established. Finally, based on the monomer sample library established, the monomers randomly were selected in the sample library and combined to generate sample images with classification and location. That is, the automatic annotation of coal gangue data is completed. The results show that the automatic annotation method of coal gangue image data through digital image processing can effectively annotate the collected coal gangue image data, with a high sample generation rate and annotation accuracy of 99%.","PeriodicalId":510054,"journal":{"name":"Tehnicki vjesnik - Technical Gazette","volume":"8 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141335979","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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