Good design strategies can help reduce energy consumption and ensure proper natural lighting. In the process of building design, this paper uses orthogonal analysis to identify design elements that correspond optimally to light levels. The visible light transmission ratio, horizontal sunshade baffle depth, sunshade angle, horizontal sunshade height from the window, and heat transfer coefficient were selected as influencing factors. The design elements corresponding to the lowest energy consumption were found. The test points are representative, and the number of tests is small.
{"title":"A comprehensive analysis method of building luminous and indoor thermal environment based on orthogonal analysis","authors":"N. Ding, Jie Yuan","doi":"10.3233/jcm-226881","DOIUrl":"https://doi.org/10.3233/jcm-226881","url":null,"abstract":"Good design strategies can help reduce energy consumption and ensure proper natural lighting. In the process of building design, this paper uses orthogonal analysis to identify design elements that correspond optimally to light levels. The visible light transmission ratio, horizontal sunshade baffle depth, sunshade angle, horizontal sunshade height from the window, and heat transfer coefficient were selected as influencing factors. The design elements corresponding to the lowest energy consumption were found. The test points are representative, and the number of tests is small.","PeriodicalId":45004,"journal":{"name":"Journal of Computational Methods in Sciences and Engineering","volume":"23 1","pages":"2497-2509"},"PeriodicalIF":0.5,"publicationDate":"2023-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70041715","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}
The UAV (Unmanned Aerial Vehicle) has the advantages of mobility and flexibility, rapid concealment and holistic vision. Coordinating with the intelligent and efficient precise dispatching of the “decision module” of the command centre, UAVs can meet the public safety needs of significant events. The marathon is an open, long-distance, gathering sporting event, so on-site security is hard to guarantee. To study the application of UAVs in marathon public security risk early warning, we examine the Hangzhou Marathon as an example, analysing the potential public security risks of a marathon and the application scenarios of UAVs by modelling the data of population and vehicles near the fundamental security early warning places of the marathon through theoretical discussion and modelling research. We propose a marathon risklevel intelligent identification and early warning model, establish the deployment and control scheme of UAVs in marathon public security, and conceive a comprehensive command platform for UAVs to promote the integration of UAVs into marathon security by taking intelligent security as an example.
{"title":"The application of UAVs in marathon public security risk early warning","authors":"J. Zhang, Yukun Lu, Sen Lin","doi":"10.3233/jcm-226891","DOIUrl":"https://doi.org/10.3233/jcm-226891","url":null,"abstract":"The UAV (Unmanned Aerial Vehicle) has the advantages of mobility and flexibility, rapid concealment and holistic vision. Coordinating with the intelligent and efficient precise dispatching of the “decision module” of the command centre, UAVs can meet the public safety needs of significant events. The marathon is an open, long-distance, gathering sporting event, so on-site security is hard to guarantee. To study the application of UAVs in marathon public security risk early warning, we examine the Hangzhou Marathon as an example, analysing the potential public security risks of a marathon and the application scenarios of UAVs by modelling the data of population and vehicles near the fundamental security early warning places of the marathon through theoretical discussion and modelling research. We propose a marathon risklevel intelligent identification and early warning model, establish the deployment and control scheme of UAVs in marathon public security, and conceive a comprehensive command platform for UAVs to promote the integration of UAVs into marathon security by taking intelligent security as an example.","PeriodicalId":45004,"journal":{"name":"Journal of Computational Methods in Sciences and Engineering","volume":"23 1","pages":"2753-2764"},"PeriodicalIF":0.5,"publicationDate":"2023-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70041989","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}
W. Cao, Baolin Wang, Jianzhuang Xu, Jie Lei, Meiying Huang, Ruifang Zhang, C. Bluth
Thermoelectric technology is commonly used in waste heat utilization of automotive internal combustion engines and widely combined with solar energy units to form solar thermoelectric generator systems. The structure of the Thermoelectric Generator (TEG) needs to be optimized in order to obtain better performance for wider applications. In this paper, the influence of temperature on the height of PN-type thermoelectric arms was analyzed using an improved one-dimensional heat conduction model with the calculus method. At the same time, both the calculation formula of the maximum output power and the calculation formula of various size parameters of the TEG was derived when the influence of temperature on the performance of thermoelectric materials has been considered. In addition, the relationships among different size parameters were derived to obtain the maximum efficiency. The relationships include the most commonly used classical optimization relationship, that is, when the Seebeck coefficient, thermal conductivity and resistivity are averaged, the relationship is consistent with the classical optimization relationship. By considering the impact of temperature on the performance of thermoelectric materials, an improved calculation formula of the figure of merit (Z) was also given. The new optimization formula was compared with the classical optimization method by taking the maximum output power as the optimization index. In the case study, the temperatures of the cold end and the hot end were set at 330 K and 700 K, respectively. PbTe and PbSe were used as the materials with intermediate temperature, and Bi2Te3 was used as the material with low temperature. Through theoretical analysis, it is found that the maximum output power of the new optimization formula can be higher than that of the classical optimization formula.
{"title":"Optimization of segmented thermoelectric power generators from waste heat while considering the influence of temperature on materials","authors":"W. Cao, Baolin Wang, Jianzhuang Xu, Jie Lei, Meiying Huang, Ruifang Zhang, C. Bluth","doi":"10.3233/jcm-226874","DOIUrl":"https://doi.org/10.3233/jcm-226874","url":null,"abstract":"Thermoelectric technology is commonly used in waste heat utilization of automotive internal combustion engines and widely combined with solar energy units to form solar thermoelectric generator systems. The structure of the Thermoelectric Generator (TEG) needs to be optimized in order to obtain better performance for wider applications. In this paper, the influence of temperature on the height of PN-type thermoelectric arms was analyzed using an improved one-dimensional heat conduction model with the calculus method. At the same time, both the calculation formula of the maximum output power and the calculation formula of various size parameters of the TEG was derived when the influence of temperature on the performance of thermoelectric materials has been considered. In addition, the relationships among different size parameters were derived to obtain the maximum efficiency. The relationships include the most commonly used classical optimization relationship, that is, when the Seebeck coefficient, thermal conductivity and resistivity are averaged, the relationship is consistent with the classical optimization relationship. By considering the impact of temperature on the performance of thermoelectric materials, an improved calculation formula of the figure of merit (Z) was also given. The new optimization formula was compared with the classical optimization method by taking the maximum output power as the optimization index. In the case study, the temperatures of the cold end and the hot end were set at 330 K and 700 K, respectively. PbTe and PbSe were used as the materials with intermediate temperature, and Bi2Te3 was used as the material with low temperature. Through theoretical analysis, it is found that the maximum output power of the new optimization formula can be higher than that of the classical optimization formula.","PeriodicalId":45004,"journal":{"name":"Journal of Computational Methods in Sciences and Engineering","volume":" ","pages":""},"PeriodicalIF":0.5,"publicationDate":"2023-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47487224","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}
The formation, evolution and regeneration of water resources follow the general laws of nature. However, in recent years, with the increasing social and economic activities of human beings, the hydrological cycle of nature has undergone significant changes, which has led to a prominent contradiction in the water supply-demand. It has also led to a series of serious environmental and ecological problems, which have caused certain areas, such as the Tarim River Basin (TRB) to face severe conditions of water shortage, downstream river channel cutoff, vegetation degradation and ecological environment deterioration. The lack of water is the main problem to solve these problems, and the water resource reproducible ability, now and in the future, is the key to solving the core problem of water shortage. Through collecting data of precipitation, runoff and temperature of representative hydrographic stations of the Tarim River, as well as the data of geographical location and human activities, this paper studies the factors affecting the water resource reproducible ability in the TRB. The paper draws the following conclusions: (1) The water resource reproducible ability in the source flow area of TRB is increasingwhen the temperature and precipitation is increasing. (2) The water resource reproducible ability in the west of TRB is greater than that in the east. (3) With the elevation of the topography, the water resource reproducible ability in the TRB is stronger. (4) Human activities weaken the water resource reproducible ability.
{"title":"Analysis of factors affecting the water regeneration capacity in Tarim River Basin","authors":"Juan Wu, Y. Li","doi":"10.3233/jcm-226878","DOIUrl":"https://doi.org/10.3233/jcm-226878","url":null,"abstract":"The formation, evolution and regeneration of water resources follow the general laws of nature. However, in recent years, with the increasing social and economic activities of human beings, the hydrological cycle of nature has undergone significant changes, which has led to a prominent contradiction in the water supply-demand. It has also led to a series of serious environmental and ecological problems, which have caused certain areas, such as the Tarim River Basin (TRB) to face severe conditions of water shortage, downstream river channel cutoff, vegetation degradation and ecological environment deterioration. The lack of water is the main problem to solve these problems, and the water resource reproducible ability, now and in the future, is the key to solving the core problem of water shortage. Through collecting data of precipitation, runoff and temperature of representative hydrographic stations of the Tarim River, as well as the data of geographical location and human activities, this paper studies the factors affecting the water resource reproducible ability in the TRB. The paper draws the following conclusions: (1) The water resource reproducible ability in the source flow area of TRB is increasingwhen the temperature and precipitation is increasing. (2) The water resource reproducible ability in the west of TRB is greater than that in the east. (3) With the elevation of the topography, the water resource reproducible ability in the TRB is stronger. (4) Human activities weaken the water resource reproducible ability.","PeriodicalId":45004,"journal":{"name":"Journal of Computational Methods in Sciences and Engineering","volume":"19 1","pages":"2711-2725"},"PeriodicalIF":0.5,"publicationDate":"2023-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70061927","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}
W. Cao, Jie Lei, Jianzhuang Xu, Baolin Wang, Meiying Huang, Ruifang Zhang, C. Bluth
Thermoelectricity technology, as a kind of cost-effective and pollution-free power generation solution, is often used for waste heat recovery and utilization. In this paper, the temperature distribution of a Two-stage Thermoelectric Generator (TTEG) under constant temperature conditions has been studied using a one-dimensional heat conduction model. Moreover, by combining the obtained temperature distribution with the three-dimensional size of TTEG, a calculation formula of resistance and voltage was developed based on the calculus method. When the sum of cross-sectional areas of all the PN-type thermoelectric arms respectively in high- and low-temperature layers is constant, the optimal ratio between cross-sectional areas of a single PN-thermoelectric arm respectively in high- and low-temperature layers can be calculated using the proposed formula in this study to achieve the maximum output power. Results also showed the relationship between the heights of PN-type thermoelectric arms and the temperature distributions in high- and low-temperature layers. Using PbTe as the medium temperature thermoelectric material and Bi2Te3 as the low temperature thermoelectric material, a case study was conducted on the PN-type thermoelectrics with the same total height and the same total cross-sectional area. The theoretical calculation results showed that the bigger of maximum output power between the two-stage thermoelectric generator and that of the Segmented Thermoelectric Generator (STEG) is related to the hot and cold end temperature.
{"title":"Optimization and comparison of two-stage thermoelectric generators considering the influence of temperature variation on materials for waste heat utilization","authors":"W. Cao, Jie Lei, Jianzhuang Xu, Baolin Wang, Meiying Huang, Ruifang Zhang, C. Bluth","doi":"10.3233/jcm-226876","DOIUrl":"https://doi.org/10.3233/jcm-226876","url":null,"abstract":"Thermoelectricity technology, as a kind of cost-effective and pollution-free power generation solution, is often used for waste heat recovery and utilization. In this paper, the temperature distribution of a Two-stage Thermoelectric Generator (TTEG) under constant temperature conditions has been studied using a one-dimensional heat conduction model. Moreover, by combining the obtained temperature distribution with the three-dimensional size of TTEG, a calculation formula of resistance and voltage was developed based on the calculus method. When the sum of cross-sectional areas of all the PN-type thermoelectric arms respectively in high- and low-temperature layers is constant, the optimal ratio between cross-sectional areas of a single PN-thermoelectric arm respectively in high- and low-temperature layers can be calculated using the proposed formula in this study to achieve the maximum output power. Results also showed the relationship between the heights of PN-type thermoelectric arms and the temperature distributions in high- and low-temperature layers. Using PbTe as the medium temperature thermoelectric material and Bi2Te3 as the low temperature thermoelectric material, a case study was conducted on the PN-type thermoelectrics with the same total height and the same total cross-sectional area. The theoretical calculation results showed that the bigger of maximum output power between the two-stage thermoelectric generator and that of the Segmented Thermoelectric Generator (STEG) is related to the hot and cold end temperature.","PeriodicalId":45004,"journal":{"name":"Journal of Computational Methods in Sciences and Engineering","volume":"23 1","pages":"2463-2483"},"PeriodicalIF":0.5,"publicationDate":"2023-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70061862","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}
With the continuous emergence of new technologies and the efficient and convenient development of people’s daily life and work, the topic of intelligent building is becoming more and more hot. There are two kinds of data in intelligent building, namely static data and dynamic data. The digital expression of intelligent building is realized through the fusion and interaction of these two kinds of data. The building information model (BIM) stores a large amount of static data, including size, material, color and other data, while the Internet of Things (IoT) collects real-time dynamic data, including temperature, humidity, light and other data, through sensors in every space within the building. The related problems of building data management in the design and operation and maintenance stages mainly include data collection relying on manual work, low data processing efficiency, scattered and disorderly data storage, difficult data interaction, slow speed, and low data visualization. In order to solve these problems, this paper combines the characteristics and advantages of BIM and IoT technology, analyzes the interaction and application value of BIM and IoT technology in the design and operation and maintenance stage of intelligent buildings, and constructs a data management system based on the Internet of things, a 3D visualization technology based on BIM, and an operation and maintenance management platform based on BIM and IoT. The application of BIM and IoT technology in the design and operation and maintenance stage of intelligent buildings has promoted the development of the construction industry. The Internet of Things can provide many functional services, such as real-time monitoring, remote tracking, automatic update, plan management and a series of personalized services and management, to achieve the management, control and detection of various things, and ensure the high-speed and effective operation of the system. The emergence of the building system of modern communication network technology has brought many conveniences to people, and there is still a broad space for development. The combination of new Internet of Things technology and intelligent buildings will certainly be an important development direction.
{"title":"Application of BIM+IoT technology in the design and operation and maintenance stages of smart buildings","authors":"Yuzhao Liu, Shaojun Hong, Fan Jiang","doi":"10.3233/jcm-226910","DOIUrl":"https://doi.org/10.3233/jcm-226910","url":null,"abstract":"With the continuous emergence of new technologies and the efficient and convenient development of people’s daily life and work, the topic of intelligent building is becoming more and more hot. There are two kinds of data in intelligent building, namely static data and dynamic data. The digital expression of intelligent building is realized through the fusion and interaction of these two kinds of data. The building information model (BIM) stores a large amount of static data, including size, material, color and other data, while the Internet of Things (IoT) collects real-time dynamic data, including temperature, humidity, light and other data, through sensors in every space within the building. The related problems of building data management in the design and operation and maintenance stages mainly include data collection relying on manual work, low data processing efficiency, scattered and disorderly data storage, difficult data interaction, slow speed, and low data visualization. In order to solve these problems, this paper combines the characteristics and advantages of BIM and IoT technology, analyzes the interaction and application value of BIM and IoT technology in the design and operation and maintenance stage of intelligent buildings, and constructs a data management system based on the Internet of things, a 3D visualization technology based on BIM, and an operation and maintenance management platform based on BIM and IoT. The application of BIM and IoT technology in the design and operation and maintenance stage of intelligent buildings has promoted the development of the construction industry. The Internet of Things can provide many functional services, such as real-time monitoring, remote tracking, automatic update, plan management and a series of personalized services and management, to achieve the management, control and detection of various things, and ensure the high-speed and effective operation of the system. The emergence of the building system of modern communication network technology has brought many conveniences to people, and there is still a broad space for development. The combination of new Internet of Things technology and intelligent buildings will certainly be an important development direction.","PeriodicalId":45004,"journal":{"name":"Journal of Computational Methods in Sciences and Engineering","volume":" ","pages":""},"PeriodicalIF":0.5,"publicationDate":"2023-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45910032","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}
Meiotic recombination has a crucial role in the biological process involving double-strand DNA breaks. Recombination hotspots are regions with a size varying from 1 to 2 kb, which is closely related to the double-strand breaks. With the increasement of both sperm data and population data, it has been demonstrated that computational methods can help us to identify the recombination spots with the advantages of time-saving and cost-saving compared to experimental verification approaches. To obtain better identification performance and investigate the potential role of various DNA sequence-derived features in building computational models, we designed a computational model by extracting features including the position-specific trinucleotide propensity (PSTNP) information, the electron-ion interaction potential (EIIP) values, nucleotide composition (NC) and dinucleotide composition (DNC). Finally, the supporting vector machine (SVM) model was trained by using the 172-dimensional features selected by means of the F-score feature ranking mode, and the accuracy of the predictor reached 98.24% in the jackknife test, which elucidates this model is a potential way for identifying recombination spots.
{"title":"An improved predictor for identifying recombination spots based on support vector machine","authors":"Linghua Kong, Xueda Zhao","doi":"10.3233/jcm-226872","DOIUrl":"https://doi.org/10.3233/jcm-226872","url":null,"abstract":"Meiotic recombination has a crucial role in the biological process involving double-strand DNA breaks. Recombination hotspots are regions with a size varying from 1 to 2 kb, which is closely related to the double-strand breaks. With the increasement of both sperm data and population data, it has been demonstrated that computational methods can help us to identify the recombination spots with the advantages of time-saving and cost-saving compared to experimental verification approaches. To obtain better identification performance and investigate the potential role of various DNA sequence-derived features in building computational models, we designed a computational model by extracting features including the position-specific trinucleotide propensity (PSTNP) information, the electron-ion interaction potential (EIIP) values, nucleotide composition (NC) and dinucleotide composition (DNC). Finally, the supporting vector machine (SVM) model was trained by using the 172-dimensional features selected by means of the F-score feature ranking mode, and the accuracy of the predictor reached 98.24% in the jackknife test, which elucidates this model is a potential way for identifying recombination spots.","PeriodicalId":45004,"journal":{"name":"Journal of Computational Methods in Sciences and Engineering","volume":"97 1","pages":"2485-2496"},"PeriodicalIF":0.5,"publicationDate":"2023-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70061736","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}
The exploration of stochastic partial differential equations in noisy perturbations of dynamical systems remains a major challenge at this stage. The study analyzes the effective dynamical system combining degenerate additive noise-driven stochastic partial differential equations, firstly in the first class of stochastic partial differential equations, the terms in the non-nuclear space formed by nonlinear interactions are overcome by effectively replacing the elements in the non-nuclear space through the ItÔ formulation, and thus the final effective dynamical system is obtained. The effective dynamical system is then obtained in the second type of stochastic partial differential equation using the O-U process similar to the terms in the non-nuclear space. At noise disturbance amplitudes of 5%, 10%, 15% and 20% AC voltage maxima in that order, the effective dynamical systems for the first type of stochastic partial differential equation and the second type of stochastic partial differential equation are more stable compared to the other types of partial differential equation dynamical systems, with the maximum range of error rate improvement for the sampling points 0–239 voltage rms and voltage initial phase value being 3.62% and 26.85% and 2.13% and 19.86% for sampling points 240–360, respectively. The effective dynamic system and stochastic partial differential equation obtained by the research have very high approximation effect, and can be applied to mechanical devices such as thermal power machines.
{"title":"Noise-driven signal study of power systems based on stochastic partial differential equations","authors":"Yankee Chen","doi":"10.3233/jcm-226914","DOIUrl":"https://doi.org/10.3233/jcm-226914","url":null,"abstract":"The exploration of stochastic partial differential equations in noisy perturbations of dynamical systems remains a major challenge at this stage. The study analyzes the effective dynamical system combining degenerate additive noise-driven stochastic partial differential equations, firstly in the first class of stochastic partial differential equations, the terms in the non-nuclear space formed by nonlinear interactions are overcome by effectively replacing the elements in the non-nuclear space through the ItÔ formulation, and thus the final effective dynamical system is obtained. The effective dynamical system is then obtained in the second type of stochastic partial differential equation using the O-U process similar to the terms in the non-nuclear space. At noise disturbance amplitudes of 5%, 10%, 15% and 20% AC voltage maxima in that order, the effective dynamical systems for the first type of stochastic partial differential equation and the second type of stochastic partial differential equation are more stable compared to the other types of partial differential equation dynamical systems, with the maximum range of error rate improvement for the sampling points 0–239 voltage rms and voltage initial phase value being 3.62% and 26.85% and 2.13% and 19.86% for sampling points 240–360, respectively. The effective dynamic system and stochastic partial differential equation obtained by the research have very high approximation effect, and can be applied to mechanical devices such as thermal power machines.","PeriodicalId":45004,"journal":{"name":"Journal of Computational Methods in Sciences and Engineering","volume":"23 1","pages":"2645-2657"},"PeriodicalIF":0.5,"publicationDate":"2023-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70042803","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}
In an age of big data and information overload, recommendation systems have evolved rapidly. Throughout the traditional design of interior spaces, the specialised nature of the work and the high rate of human involvement has led to high costs. With the continuous development of artificial intelligence technology, it provides a favourable environment for reducing the development cost of the system. This study proposes a two-stage modelling scheme based on deep learning networks for the intelligent design of display space layouts, divided into two parts: matching and layout, which greatly improves design efficiency. The research results show that through comparison tests, its prediction accuracy reaches more than 80%, which can well meet the matching requirements of household products. The training number of Epochs is between 15 and 30, its training curve tends to saturate and the best accuracy can reach 100%, while the running time of the hybrid algorithm proposed in this study is only 20.716 s, which is significantly better compared with other algorithms. The proposed hybrid algorithm has a running time of only 20.716 s, which is significantly better than other algorithms. The approach innovatively combines deep learning technology with computer-aided design (CAD), enabling designers to automatically generate display space layouts with good visibility and usability based on complex design constraints. This study presents an innovative application of the research methodology by combining quantitative and qualitative methods to analyse the data. The application of both methods provides a more comprehensive understanding of the problem under study and provides insight into the key factors that influence the results. The findings of this study can provide useful insights for policy makers and practitioners.
{"title":"Intelligent design of display space layout based on two-stage deep learning network","authors":"Jiaxing Liu, Yongchao Zhu, Yin Cui","doi":"10.3233/jcm-226912","DOIUrl":"https://doi.org/10.3233/jcm-226912","url":null,"abstract":"In an age of big data and information overload, recommendation systems have evolved rapidly. Throughout the traditional design of interior spaces, the specialised nature of the work and the high rate of human involvement has led to high costs. With the continuous development of artificial intelligence technology, it provides a favourable environment for reducing the development cost of the system. This study proposes a two-stage modelling scheme based on deep learning networks for the intelligent design of display space layouts, divided into two parts: matching and layout, which greatly improves design efficiency. The research results show that through comparison tests, its prediction accuracy reaches more than 80%, which can well meet the matching requirements of household products. The training number of Epochs is between 15 and 30, its training curve tends to saturate and the best accuracy can reach 100%, while the running time of the hybrid algorithm proposed in this study is only 20.716 s, which is significantly better compared with other algorithms. The proposed hybrid algorithm has a running time of only 20.716 s, which is significantly better than other algorithms. The approach innovatively combines deep learning technology with computer-aided design (CAD), enabling designers to automatically generate display space layouts with good visibility and usability based on complex design constraints. This study presents an innovative application of the research methodology by combining quantitative and qualitative methods to analyse the data. The application of both methods provides a more comprehensive understanding of the problem under study and provides insight into the key factors that influence the results. The findings of this study can provide useful insights for policy makers and practitioners.","PeriodicalId":45004,"journal":{"name":"Journal of Computational Methods in Sciences and Engineering","volume":" ","pages":""},"PeriodicalIF":0.5,"publicationDate":"2023-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49423634","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}
As an important part of cross-border e-commerce, cross-border e-commerce logistics occupies a very important position in cross-border e-commerce, but its development in China is relatively lagging behind that of cross-border e-commerce, and this situation needs to be resolved urgently. The emergence of the sharing economy model provides possible solutions to the problems in cross-border e-commerce logistics. This article analyzes the current development status of cross-border e-commerce logistics in China, defines and analyzes the feasibility of the “sharing economy + cross-border e-commerce logistics” model, and finally proposes the “sharing economy + cross-border e-commerce logistics” model corresponding policy recommendations to better support cross-border e-commerce to achieve a high level of sustainable development.
{"title":"Research on cross-border e-commerce logistics under the sharing economy model","authors":"Lin He, Qixiang Wu","doi":"10.3233/jcm-226922","DOIUrl":"https://doi.org/10.3233/jcm-226922","url":null,"abstract":"As an important part of cross-border e-commerce, cross-border e-commerce logistics occupies a very important position in cross-border e-commerce, but its development in China is relatively lagging behind that of cross-border e-commerce, and this situation needs to be resolved urgently. The emergence of the sharing economy model provides possible solutions to the problems in cross-border e-commerce logistics. This article analyzes the current development status of cross-border e-commerce logistics in China, defines and analyzes the feasibility of the “sharing economy + cross-border e-commerce logistics” model, and finally proposes the “sharing economy + cross-border e-commerce logistics” model corresponding policy recommendations to better support cross-border e-commerce to achieve a high level of sustainable development.","PeriodicalId":45004,"journal":{"name":"Journal of Computational Methods in Sciences and Engineering","volume":" ","pages":""},"PeriodicalIF":0.5,"publicationDate":"2023-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47829247","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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