Pub Date : 2023-03-31DOI: 10.17993/3cemp.2023.120151.361-380
Bhushan L. Patil, Jitendra A. Hole, Sagar V. Wankhede
Due to population, industrial, and agricultural growth as well as the rising demand for potable water, there is currently shortage of water in many region of the world. Desalination of brackish and salty water is one of the simplest and economical processes to convert it into potable or drinkable water. But solar still has a low productivity device as its main flaw. Mechanisms for heat exchange play a significant part in increasing the daily yield. The output of any solar desalination system is influenced by the water temperature. The productivity rises as the basin's water temperature rises. A series of experiments were conducted for four different cases in the current study, and it was discovered that the still combined with a parabolic concentrator and stepped basin is the most productive and efficient. The results were verified using mathematical modeling, and it was discovered that in all of these instances, the percentage RMS values range from 10% to 40% and the coefficient of correlation is varies in between 0.8 to 0.99. The overall thermal efficiency of 16.54% is obtained for the integrated system when coupled with evacuated tube collector.
{"title":"Experimental And Theoretical Investigation Of Single Slope Solar Still Coupled With Etc With Stainless-Steel Reflector With Central V-Groove","authors":"Bhushan L. Patil, Jitendra A. Hole, Sagar V. Wankhede","doi":"10.17993/3cemp.2023.120151.361-380","DOIUrl":"https://doi.org/10.17993/3cemp.2023.120151.361-380","url":null,"abstract":"Due to population, industrial, and agricultural growth as well as the rising demand for potable water, there is currently shortage of water in many region of the world. Desalination of brackish and salty water is one of the simplest and economical processes to convert it into potable or drinkable water. But solar still has a low productivity device as its main flaw. Mechanisms for heat exchange play a significant part in increasing the daily yield. The output of any solar desalination system is influenced by the water temperature. The productivity rises as the basin's water temperature rises. A series of experiments were conducted for four different cases in the current study, and it was discovered that the still combined with a parabolic concentrator and stepped basin is the most productive and efficient. The results were verified using mathematical modeling, and it was discovered that in all of these instances, the percentage RMS values range from 10% to 40% and the coefficient of correlation is varies in between 0.8 to 0.99. The overall thermal efficiency of 16.54% is obtained for the integrated system when coupled with evacuated tube collector.","PeriodicalId":365908,"journal":{"name":"3C Empresa. Investigación y pensamiento crítico","volume":"240 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123048783","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 : 2023-03-31DOI: 10.17993/3cemp.2023.120151.423-438
Seror Naji Mohsen aldouri, Manoj A. Kumbhalkar
Quality is currently one of the most important strategies adopted by WHO in to gain time to please and deal with the client for the greatest possible benefit to auditors, In health service, quality and value have become convergent ideas, and the importance of patients as clients has grown as a result of a focus on quality management and value delivery.The supply chain idea also aids marketing by showcasing the ties that make up a network of firms that manufacture products for customers, as well as shifting the attention away from individual transactions and toward a more holistic view of the entire system. The value chain idea in marketing broadens the perception of the supply chain in a significant way. It describes the value created at each level of the chain and, for marketers, is a critical tool in satisfying customers for a portion of the value chain. This research looks at numerous value approaches that are critical for the value chain's success, then identifies key aspects of the value chain and follows them as they relate to services. Finally, it looks at one of the most complicated services, the health services system. Finally, the research reveals some crucial implications for health-service marketers by evaluating the critical aspects determining the performance of the health-service process.
{"title":"Use the Value Chain Analysis to Improve the Quality of Health Service","authors":"Seror Naji Mohsen aldouri, Manoj A. Kumbhalkar","doi":"10.17993/3cemp.2023.120151.423-438","DOIUrl":"https://doi.org/10.17993/3cemp.2023.120151.423-438","url":null,"abstract":"Quality is currently one of the most important strategies adopted by WHO in to gain time to please and deal with the client for the greatest possible benefit to auditors, In health service, quality and value have become convergent ideas, and the importance of patients as clients has grown as a result of a focus on quality management and value delivery.The supply chain idea also aids marketing by showcasing the ties that make up a network of firms that manufacture products for customers, as well as shifting the attention away from individual transactions and toward a more holistic view of the entire system. The value chain idea in marketing broadens the perception of the supply chain in a significant way. It describes the value created at each level of the chain and, for marketers, is a critical tool in satisfying customers for a portion of the value chain. This research looks at numerous value approaches that are critical for the value chain's success, then identifies key aspects of the value chain and follows them as they relate to services. Finally, it looks at one of the most complicated services, the health services system. Finally, the research reveals some crucial implications for health-service marketers by evaluating the critical aspects determining the performance of the health-service process.","PeriodicalId":365908,"journal":{"name":"3C Empresa. Investigación y pensamiento crítico","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124785721","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 : 2023-03-31DOI: 10.17993/3cemp.2023.120151.111-131
Yu Niu
This paper analyzes the data of this year's athletes' physical fitness test scores and manages the classification of different physical qualities of the farmer. In order to reduce the manual calculation and increase the prediction efficiency, as well as to unify the scoring criteria of previous years, this paper proposes a comprehensive performance prediction model based on deep neural network algorithm. First, principal component analysis is used to transform multiple attributes with strong correlation into independent attributes that are not related to each other, and to reduce the time and space for model training by eliminating redundancy. Second, a back propagation (BP) neural network algorithm is used to build a physical fitness test prediction model, and the model is applied to the test dataset for model performance evaluation. Finally, the physical fitness test model was applied to other years for comprehensive performance prediction, and the differences between the model prediction results and the actual teachers' manual calculation results were observed. The results showed very good prediction results for 2021, in which 92.95% of the data had an absolute value of error less than 2 and only 0.06% had an absolute value of error greater than 4, which indicated that the prediction performance of the model was extremely significant. At the same time, a new athletic athletic scoring standard was also developed based on the neural network BP model to provide a more scientific theoretical basis and guidance for the evaluation of athletic ability of athletes.
{"title":"Construction of an efficient evaluation model for athletic athletes' competitive ability based on deep neural network algorithm","authors":"Yu Niu","doi":"10.17993/3cemp.2023.120151.111-131","DOIUrl":"https://doi.org/10.17993/3cemp.2023.120151.111-131","url":null,"abstract":"This paper analyzes the data of this year's athletes' physical fitness test scores and manages the classification of different physical qualities of the farmer. In order to reduce the manual calculation and increase the prediction efficiency, as well as to unify the scoring criteria of previous years, this paper proposes a comprehensive performance prediction model based on deep neural network algorithm. First, principal component analysis is used to transform multiple attributes with strong correlation into independent attributes that are not related to each other, and to reduce the time and space for model training by eliminating redundancy. Second, a back propagation (BP) neural network algorithm is used to build a physical fitness test prediction model, and the model is applied to the test dataset for model performance evaluation. Finally, the physical fitness test model was applied to other years for comprehensive performance prediction, and the differences between the model prediction results and the actual teachers' manual calculation results were observed. The results showed very good prediction results for 2021, in which 92.95% of the data had an absolute value of error less than 2 and only 0.06% had an absolute value of error greater than 4, which indicated that the prediction performance of the model was extremely significant. At the same time, a new athletic athletic scoring standard was also developed based on the neural network BP model to provide a more scientific theoretical basis and guidance for the evaluation of athletic ability of athletes.","PeriodicalId":365908,"journal":{"name":"3C Empresa. Investigación y pensamiento crítico","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129097363","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 : 2023-03-31DOI: 10.17993/3cemp.2023.120151.311-322
Heshu Othm Faqe Mahmood, Mohammed Aras Ali, Zryan Jabar Raouf Ali
Iraq's oil industry is the country's main source of income. Iraq's manufacturing sector has always been heavily dependent on the country's oil exports. Since the end of the Iraq War, Iraq has expanded its output and is currently the region's second-largest producer. For this investigation, the grey model was run using data on the monthly international price of Iraqi oil from October 2020 through September 2022. Researchers evaluated the MAPE and accuracy rate to choose which model to employ for oil price forecasting, and we found that the GM(2,1) model was the best fit for capturing the dynamics of the Iraqi oil market (precision rate = 96%, MAPE = 4%).
{"title":"Forecasting Performance In Iraqi Stock Exchange For The Oil Price Throw The GM (1,2) Model And The Impacts On Economic Growth","authors":"Heshu Othm Faqe Mahmood, Mohammed Aras Ali, Zryan Jabar Raouf Ali","doi":"10.17993/3cemp.2023.120151.311-322","DOIUrl":"https://doi.org/10.17993/3cemp.2023.120151.311-322","url":null,"abstract":"Iraq's oil industry is the country's main source of income. Iraq's manufacturing sector has always been heavily dependent on the country's oil exports. Since the end of the Iraq War, Iraq has expanded its output and is currently the region's second-largest producer. For this investigation, the grey model was run using data on the monthly international price of Iraqi oil from October 2020 through September 2022. Researchers evaluated the MAPE and accuracy rate to choose which model to employ for oil price forecasting, and we found that the GM(2,1) model was the best fit for capturing the dynamics of the Iraqi oil market (precision rate = 96%, MAPE = 4%).","PeriodicalId":365908,"journal":{"name":"3C Empresa. Investigación y pensamiento crítico","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124317261","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 : 2023-03-31DOI: 10.17993/3cemp.2023.120151.37-49
Jingjing Dai
Microgrid technology is a key solution to improve distributed power consumption, complementary utilization of multiple energy sources, and power supply reliability. To guarantee the reliability of the microgrid system, a realistic strategy must be created. This work takes the microgrid as an object and uses simulation technology to construct a microgrid system. Then, using this simulation system and the double deep Q-learning, the goal is to minimize the 24-hour electricity consumption cost from the external power grid to meet the requirements of voltage deviation. Power balancing and energy storage loads for microgrid systems. Under the constraints of the electrical state and other constraints, the control variable is the energy storage's capacity for charging and discharging, and the optimization strategy of energy storage control is obtained through training. The results demonstrate that the DDQN algorithm will save 26.95% of the electricity purchase cost, which is significantly more than the MPPT algorithm's 12.43% savings. As a result, this work examines the efficacy of the charging and releasing approach for energy storage and confirms the potential of the suggested approach to reduce the cost of purchasing electricity.
{"title":"Management and control optimization based on deep learning model","authors":"Jingjing Dai","doi":"10.17993/3cemp.2023.120151.37-49","DOIUrl":"https://doi.org/10.17993/3cemp.2023.120151.37-49","url":null,"abstract":"Microgrid technology is a key solution to improve distributed power consumption, complementary utilization of multiple energy sources, and power supply reliability. To guarantee the reliability of the microgrid system, a realistic strategy must be created. This work takes the microgrid as an object and uses simulation technology to construct a microgrid system. Then, using this simulation system and the double deep Q-learning, the goal is to minimize the 24-hour electricity consumption cost from the external power grid to meet the requirements of voltage deviation. Power balancing and energy storage loads for microgrid systems. Under the constraints of the electrical state and other constraints, the control variable is the energy storage's capacity for charging and discharging, and the optimization strategy of energy storage control is obtained through training. The results demonstrate that the DDQN algorithm will save 26.95% of the electricity purchase cost, which is significantly more than the MPPT algorithm's 12.43% savings. As a result, this work examines the efficacy of the charging and releasing approach for energy storage and confirms the potential of the suggested approach to reduce the cost of purchasing electricity.","PeriodicalId":365908,"journal":{"name":"3C Empresa. Investigación y pensamiento crítico","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132296534","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 : 2023-03-31DOI: 10.17993/3cemp.2023.120151.392-421
Pralhad Pesode, Shivprakash B. Barve, Sagar V. Wankhede, Amar Chipade
Magnesium is a biodegradable metal that has potential in orthopaedics. It has several advantages over other metallic materials because it is biocompatible and degradable now being used for biomedical applications, including elimination of stress shielding effects, enhancing degradation properties and enhancing biocompatibility concern in vivo, eliminating the second surgery for implant removal. Bioabsorbable magnesium (Mg) and related alloys have been limited in their usage because of its lower corrosion resistance. Surface alteration and functionality, in addition to basic alloying, is an important technique to deal with Mg and its alloys' reduced corrosion resistance. Magnesium's rapid depreciation however is a double-edged sword because it's critical to match bone renewal to material corrosion. As a result, calcium phosphate coatings have been proposed as a way to slow down corrosion. There are various possible calcium phosphate phases and their coating methods and can give a few distinct properties to various applications. Despite magnesium's lower melting point and greater reactivity, calcium phosphate coatings require precise settings to be effective. Because of their toxicity, non-biodegradability, and much higher cost, the recently used inorganic conversion coatings are less appealing and their application is limited. Conversion coatings are a viable alternative technology that is based on a cost- effective, environmentally friendly, and biodegradable organic component. Surface chelating functional groups in these compounds allow them to link with the magnesium/surface hydroxide layer while also providing anchoring groups for the polymer topcoat. Nanoreservoirs with multilayer inhibitors for active self-healing corrosion resistance thrive in this environment. This study examines the organic conversion coatings for Mg and its alloys in depth.
{"title":"Metal Oxide Coating On Biodegradable Magnesium Alloys","authors":"Pralhad Pesode, Shivprakash B. Barve, Sagar V. Wankhede, Amar Chipade","doi":"10.17993/3cemp.2023.120151.392-421","DOIUrl":"https://doi.org/10.17993/3cemp.2023.120151.392-421","url":null,"abstract":"Magnesium is a biodegradable metal that has potential in orthopaedics. It has several advantages over other metallic materials because it is biocompatible and degradable now being used for biomedical applications, including elimination of stress shielding effects, enhancing degradation properties and enhancing biocompatibility concern in vivo, eliminating the second surgery for implant removal. Bioabsorbable magnesium (Mg) and related alloys have been limited in their usage because of its lower corrosion resistance. Surface alteration and functionality, in addition to basic alloying, is an important technique to deal with Mg and its alloys' reduced corrosion resistance. Magnesium's rapid depreciation however is a double-edged sword because it's critical to match bone renewal to material corrosion. As a result, calcium phosphate coatings have been proposed as a way to slow down corrosion. There are various possible calcium phosphate phases and their coating methods and can give a few distinct properties to various applications. Despite magnesium's lower melting point and greater reactivity, calcium phosphate coatings require precise settings to be effective. Because of their toxicity, non-biodegradability, and much higher cost, the recently used inorganic conversion coatings are less appealing and their application is limited. Conversion coatings are a viable alternative technology that is based on a cost- effective, environmentally friendly, and biodegradable organic component. Surface chelating functional groups in these compounds allow them to link with the magnesium/surface hydroxide layer while also providing anchoring groups for the polymer topcoat. Nanoreservoirs with multilayer inhibitors for active self-healing corrosion resistance thrive in this environment. This study examines the organic conversion coatings for Mg and its alloys in depth.","PeriodicalId":365908,"journal":{"name":"3C Empresa. Investigación y pensamiento crítico","volume":"127 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134156206","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 : 2023-03-31DOI: 10.17993/3cemp.2023.120151.324-344
Noor Sabah, M. Al-Mukhtar, K. Shemal
This research discusses and analyses cutting-edge applications for water-energy-food nexus system analysis. It is axiomatic that substantial data should be acquired for a comprehensive model. The WEF nexus simulator may therefore be built to any extent by using simulated data future integral field spectroscopic (IFs and THENs) for WEF nexus interaction. The required data was then organized, and interactions (IFs and THENs) between the three subsystems were investigated. These IFs and THENs aid in our understanding of and ability to address the intricacy of the WEF. Given that the present study’s objective is to review various solutions for WEF Nexus We can now use these classifications to simplify the WEF nexus idea. In other words, the relationship between the three subsystems is demonstrated by the IFs and THENs variables. It would make sense to remove one of the following THEN variables from one subsystem if one of the IF variables in another subsystem remained. Because earlier Nexus initiatives did not provide information on how to initiate and discover interactions, it will be simple to determine interactions. This study demonstrates how a thorough nexus simulation model can access and communicate a wide range of data. The nexus model's interrelationships and interactions with other subsystems can be easily recovered thanks to this classification approach, and none of them will be missed because of ignorance of the nexus system. These IFs and THENs variables are also seen to be an excellent way to simplify the implementation of the Nexus system. The overall score for each project was then calculated by adding the weighted scores, which provided a methodical and objective way to rank the 29 irrigation and hydroelectric dam projects. This study is the first study in Iraq about water-energy and food nexus and helping to streamline decision-making at the nexus due to the size of the several sectors in the Iraqi human society Following input from NWDS stakeholders, three new factors to take into account when deciding which irrigation project options to pursue were identified: a) Fighting poverty; b) Building irrigation projects close to Iraq's borders to ensure border security. 3) Rural Population Decline or Poverty Exodus. It's important to note that the nation places the highest priority on these three factors (Key Priorities National). Irrigation projects may now be planned in a deliberate manner that takes into account the observations of the relevant authorities thanks to the adoption of these aims together with the strategic assessment criteria. It takes scientific input to create "resource indexes".
{"title":"Water - food and energy nexus systems: analysis integrated policy making tool","authors":"Noor Sabah, M. Al-Mukhtar, K. Shemal","doi":"10.17993/3cemp.2023.120151.324-344","DOIUrl":"https://doi.org/10.17993/3cemp.2023.120151.324-344","url":null,"abstract":"This research discusses and analyses cutting-edge applications for water-energy-food nexus system analysis. It is axiomatic that substantial data should be acquired for a comprehensive model. The WEF nexus simulator may therefore be built to any extent by using simulated data future integral field spectroscopic (IFs and THENs) for WEF nexus interaction. The required data was then organized, and interactions (IFs and THENs) between the three subsystems were investigated. These IFs and THENs aid in our understanding of and ability to address the intricacy of the WEF. Given that the present study’s objective is to review various solutions for WEF Nexus We can now use these classifications to simplify the WEF nexus idea. In other words, the relationship between the three subsystems is demonstrated by the IFs and THENs variables. It would make sense to remove one of the following THEN variables from one subsystem if one of the IF variables in another subsystem remained. Because earlier Nexus initiatives did not provide information on how to initiate and discover interactions, it will be simple to determine interactions. This study demonstrates how a thorough nexus simulation model can access and communicate a wide range of data. The nexus model's interrelationships and interactions with other subsystems can be easily recovered thanks to this classification approach, and none of them will be missed because of ignorance of the nexus system. These IFs and THENs variables are also seen to be an excellent way to simplify the implementation of the Nexus system. The overall score for each project was then calculated by adding the weighted scores, which provided a methodical and objective way to rank the 29 irrigation and hydroelectric dam projects. This study is the first study in Iraq about water-energy and food nexus and helping to streamline decision-making at the nexus due to the size of the several sectors in the Iraqi human society Following input from NWDS stakeholders, three new factors to take into account when deciding which irrigation project options to pursue were identified: a) Fighting poverty; b) Building irrigation projects close to Iraq's borders to ensure border security. 3) Rural Population Decline or Poverty Exodus. It's important to note that the nation places the highest priority on these three factors (Key Priorities National). Irrigation projects may now be planned in a deliberate manner that takes into account the observations of the relevant authorities thanks to the adoption of these aims together with the strategic assessment criteria. It takes scientific input to create \"resource indexes\".","PeriodicalId":365908,"journal":{"name":"3C Empresa. Investigación y pensamiento crítico","volume":"486 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127570220","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 : 2023-03-31DOI: 10.17993/3cemp.2023.120151.15-35
Fan Zhang, Kunfan Wang
Most of the existing smart space machine vision technologies are oriented to specific applications, which are not conducive to knowledge sharing and reuse. Most smart devices require people to participate in control and cannot actively provide services for people. In response to the above problems, this research proposes a smart factory based on a deep network model, which is capable of data mining and analysis based on a huge database, enabling the factory to have self-learning capabilities. On this basis, tasks such as optimization of energy consumption and automatic judgment of production decisions are completed. Based on the deep network model, the accuracy of the model for image analysis is improved. Increasing the number of hidden layers will cause errors in the neural network and increase the amount of calculation. The appropriate number of neurons can be selected according to the characteristics of the model. When the IoU threshold is taken as 0.75, its performance is improved by 1.23% year-on-year. The residual structure composed of asymmetric multiple convolution kernels not only increases the number of feature extraction layers, but also allows the asymmetric image details to be better preserved. The recognition accuracy of the trained deep network model reaches 99.1%, which is much higher than other detection models, and its average recognition time is 0.175s. In the research of machine vision technology, the smart factory based on the deep network model not only maintains a high recognition accuracy rate, but also meets the real- time requirements of the system.
{"title":"Key technologies of smart factory machine vision based on efficient deep network model","authors":"Fan Zhang, Kunfan Wang","doi":"10.17993/3cemp.2023.120151.15-35","DOIUrl":"https://doi.org/10.17993/3cemp.2023.120151.15-35","url":null,"abstract":"Most of the existing smart space machine vision technologies are oriented to specific applications, which are not conducive to knowledge sharing and reuse. Most smart devices require people to participate in control and cannot actively provide services for people. In response to the above problems, this research proposes a smart factory based on a deep network model, which is capable of data mining and analysis based on a huge database, enabling the factory to have self-learning capabilities. On this basis, tasks such as optimization of energy consumption and automatic judgment of production decisions are completed. Based on the deep network model, the accuracy of the model for image analysis is improved. Increasing the number of hidden layers will cause errors in the neural network and increase the amount of calculation. The appropriate number of neurons can be selected according to the characteristics of the model. When the IoU threshold is taken as 0.75, its performance is improved by 1.23% year-on-year. The residual structure composed of asymmetric multiple convolution kernels not only increases the number of feature extraction layers, but also allows the asymmetric image details to be better preserved. The recognition accuracy of the trained deep network model reaches 99.1%, which is much higher than other detection models, and its average recognition time is 0.175s. In the research of machine vision technology, the smart factory based on the deep network model not only maintains a high recognition accuracy rate, but also meets the real- time requirements of the system.","PeriodicalId":365908,"journal":{"name":"3C Empresa. Investigación y pensamiento crítico","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131063051","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 : 2023-03-31DOI: 10.17993/3cemp.2023.120151.133-163
Xiangbin Wen, Zhenghui Wang
With the improvement of living standards, people are more and more eager to improve the efficiency of energy conservation and emissions reduction of buildings. Pursuant to this, the application of BIM technology in the water supply and drainage engineering of green buildings is proposed. Firstly, the BIM model is built to draw the axis network and axis height and transform the spatial position of family components, which is conductive to addressing the problem of the loss of engineering information. Then, the energy-saving pathways of green building water supply and drainage projects are analyzed, Concretely, the drainage energy consumption can be reduced by decreasing the overall head of the water pump. The pipe resistance and drainage efficiency can be respectively reduced and improved through reasonable selection of parallel drainage pipelines. Also, the principle of "avoiding the peak and filling valley" can be adopted to reduce pump operation in peak period and water draining in valley period, thereby saving drainage cost. By optimizing the control strategy of the drainage system and improving the utilization rate of water resources, the final results of the study show that BIM technology can realize 69% energy saving of the total savings in water supply and drainage engineering of green buildings, decrease cost consumption and improve the quality of water supply and drainage system, so as to make full use of limited water resources to achieve the effect of energy conservation and emission reduction.
{"title":"Engineering application of BIM in saving water and energy conservation","authors":"Xiangbin Wen, Zhenghui Wang","doi":"10.17993/3cemp.2023.120151.133-163","DOIUrl":"https://doi.org/10.17993/3cemp.2023.120151.133-163","url":null,"abstract":"With the improvement of living standards, people are more and more eager to improve the efficiency of energy conservation and emissions reduction of buildings. Pursuant to this, the application of BIM technology in the water supply and drainage engineering of green buildings is proposed. Firstly, the BIM model is built to draw the axis network and axis height and transform the spatial position of family components, which is conductive to addressing the problem of the loss of engineering information. Then, the energy-saving pathways of green building water supply and drainage projects are analyzed, Concretely, the drainage energy consumption can be reduced by decreasing the overall head of the water pump. The pipe resistance and drainage efficiency can be respectively reduced and improved through reasonable selection of parallel drainage pipelines. Also, the principle of \"avoiding the peak and filling valley\" can be adopted to reduce pump operation in peak period and water draining in valley period, thereby saving drainage cost. By optimizing the control strategy of the drainage system and improving the utilization rate of water resources, the final results of the study show that BIM technology can realize 69% energy saving of the total savings in water supply and drainage engineering of green buildings, decrease cost consumption and improve the quality of water supply and drainage system, so as to make full use of limited water resources to achieve the effect of energy conservation and emission reduction.","PeriodicalId":365908,"journal":{"name":"3C Empresa. Investigación y pensamiento crítico","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114556453","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 : 2023-03-31DOI: 10.17993/3cemp.2023.120151.440-461
Khaleel Radhi Hasan Alzlzly
The research aims to reduce the costs of sustainable development through the use of strategic cost management methods, characterizing the cost system used to reduce costs in these companies, as well as studying the relationship between the use of modern methods of strategic cost management and reducing the costs of sustainable development, as well as studying the role of reduced costs in achieving the competitive advantage of companies. In addition to its role in assisting in making strategic decisions. The research methodology relies on the deductive approach, which is the researcher relying on books, letters, dissertations, and scientific articles to enrich the theoretical aspect of the study, formulating the research problem and the research hypothesis, and the inductive approach through designing a questionnaire as a tool for the field study, which was distributed to workers in cement and brick factories in Al-Muthanna Governorate in Iraq. Where the number of the distributed questionnaire reached (200) questionnaires, 175 of which were retrieved, and the validity and reliability of the questionnaire questions and the correlation between all the axes of the questionnaire were calculated, and the values of the correlation coefficient were a statistical function at a significant level (0.05). The most important findings of the researcher were the existence of a significant positive relationship between the use of strategic cost management methods and reducing the costs of sustainable development, as well as the existence of a positive significant relationship between reducing the costs of sustainable development and achieving competitive advantage and making strategic decisions for companies. The most important recommendations were that there is a need to pay attention to reducing the costs of sustainable development by adopting strategic cost management methods in cement and brick factories in Al-Muthanna Governorate.
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