Pub Date : 2024-04-15DOI: 10.17559/tv-20230511000622
{"title":"FBF: A High-Efficient Query Mechanism for Keyword Search in Online Social Networks","authors":"","doi":"10.17559/tv-20230511000622","DOIUrl":"https://doi.org/10.17559/tv-20230511000622","url":null,"abstract":"","PeriodicalId":510054,"journal":{"name":"Tehnicki vjesnik - Technical Gazette","volume":"35 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140699742","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 increase in fossil fuel consumption used in conventional vehicles has adversely affected carbon emissions in the atmosphere. Due to this negativity, many problems such as global warming, noise pollution, and cost have emerged. To find solutions to these problems, many studies have been conducted to increase the energy storage capacity of Electric Vehicles (EVs) since 1835. EVs produced as a result of these studies work more efficiently than traditional vehicles. However, the driving range problem and charging time are the biggest disadvantages of these vehicles. These disadvantages are a major obstacle for EVs to replace traditional vehicles. In this study, an experimental study was conducted on flywheel-battery in-vehicle topologies, which are recommended to increase the range of EVs and hybrid electric vehicles. In this application, two flywheels with the same rotor radius and different masses were used. Energy was produced by the generator through these flywheels. This energy was employed to charge the batteries. The stored energy and power amounts were investigated depending on the variation in the moment of inertia of both flywheels at the maximum and minimum levels. Because of this examination, it has been determined which flywheels with the same rotor radius but different masses are more suitable for EVs.
{"title":"Efficiency Analysis of Regenerative Brake System Using Flywheel Energy Storage Technology in Electric Vehicles","authors":"Zeyneb Nuriye Kurtulmu, Abdulhakim Karakaya, Zeyneb Nuriye, MSc KURTULMU Ş","doi":"10.17559/tv-20230611000719","DOIUrl":"https://doi.org/10.17559/tv-20230611000719","url":null,"abstract":": The increase in fossil fuel consumption used in conventional vehicles has adversely affected carbon emissions in the atmosphere. Due to this negativity, many problems such as global warming, noise pollution, and cost have emerged. To find solutions to these problems, many studies have been conducted to increase the energy storage capacity of Electric Vehicles (EVs) since 1835. EVs produced as a result of these studies work more efficiently than traditional vehicles. However, the driving range problem and charging time are the biggest disadvantages of these vehicles. These disadvantages are a major obstacle for EVs to replace traditional vehicles. In this study, an experimental study was conducted on flywheel-battery in-vehicle topologies, which are recommended to increase the range of EVs and hybrid electric vehicles. In this application, two flywheels with the same rotor radius and different masses were used. Energy was produced by the generator through these flywheels. This energy was employed to charge the batteries. The stored energy and power amounts were investigated depending on the variation in the moment of inertia of both flywheels at the maximum and minimum levels. Because of this examination, it has been determined which flywheels with the same rotor radius but different masses are more suitable for EVs.","PeriodicalId":510054,"journal":{"name":"Tehnicki vjesnik - Technical Gazette","volume":"322 8","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140703365","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 : 2024-04-15DOI: 10.17559/tv-20230522000656
Jing Xuan, Jiulin Song, Jingya Liu, Qiuyan ZHANg, Gang Xue
: Accurate prediction of short-term passenger flow in urban rail transit systems plays a crucial role in optimizing operations and enhancing passenger experience. This study presents a scientific approach to predict subway passenger flow by analyzing characteristic patterns, identifying key factors influencing passenger flow changes, and leveraging relevant data sources. The multi-source data used in this study are described and pre-processed to capture the spatial, temporal, and other factors that contribute to subway passenger flow distribution. Utilizing the extracted features as inputs, an improved Long Short-Term Memory (LSTM) method is employed for short-term passenger flow prediction. The performance of the improved LSTM method is compared and analyzed against traditional methods. The results demonstrate that the proposed approach outperforms traditional methods in terms of prediction accuracy for the same prediction target. Furthermore, the fusion of multi-source data and the inclusion of external factors significantly enhance the prediction accuracy. This research highlights the importance of considering various factors and data sources when forecasting short-term passenger flow in urban rail transit systems. By employing an improved LSTM method and integrating multiple data dimensions, the proposed approach offers superior prediction accuracy compared to traditional methods. The findings contribute to the development of efficient and reliable prediction models for optimizing urban rail transit operations and improving passenger services.
{"title":"Short-time Prediction of Urban Rail Transit Passenger Flow","authors":"Jing Xuan, Jiulin Song, Jingya Liu, Qiuyan ZHANg, Gang Xue","doi":"10.17559/tv-20230522000656","DOIUrl":"https://doi.org/10.17559/tv-20230522000656","url":null,"abstract":": Accurate prediction of short-term passenger flow in urban rail transit systems plays a crucial role in optimizing operations and enhancing passenger experience. This study presents a scientific approach to predict subway passenger flow by analyzing characteristic patterns, identifying key factors influencing passenger flow changes, and leveraging relevant data sources. The multi-source data used in this study are described and pre-processed to capture the spatial, temporal, and other factors that contribute to subway passenger flow distribution. Utilizing the extracted features as inputs, an improved Long Short-Term Memory (LSTM) method is employed for short-term passenger flow prediction. The performance of the improved LSTM method is compared and analyzed against traditional methods. The results demonstrate that the proposed approach outperforms traditional methods in terms of prediction accuracy for the same prediction target. Furthermore, the fusion of multi-source data and the inclusion of external factors significantly enhance the prediction accuracy. This research highlights the importance of considering various factors and data sources when forecasting short-term passenger flow in urban rail transit systems. By employing an improved LSTM method and integrating multiple data dimensions, the proposed approach offers superior prediction accuracy compared to traditional methods. The findings contribute to the development of efficient and reliable prediction models for optimizing urban rail transit operations and improving passenger services.","PeriodicalId":510054,"journal":{"name":"Tehnicki vjesnik - Technical Gazette","volume":"16 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140700422","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 : 2024-04-15DOI: 10.17559/tv-20230610000715
K. Muthulakshmi, Sundar Prakash Balaji, S. Stephe, J. Vijayalakshmi, PhD SUNDAR PRAKASH BALAJI
: Wireless Sensor Networks (WSNs) are utilised in a variety of applications due to their capacity to capture and transmit environmental data. Clustering has emerged as an efficient method for improving energy efficiency in WSNs. To resolve these issues, we propose an Adaptive Wind Driven Optimisation based Energy Aware Clustering Scheme (AWDO-EACS) for WSNs. The AWDO-EACS model presents an extended form of the Wind Driven Optimisation (WDO) algorithm, designated AWDO, with optimised inherent term values. The proposed model takes into account multiple objectives, such as energy consumption, distance, and end-to-end latency, in order to achieve superior energy efficiency and an extended network lifetime. To validate the efficacy of the AWDO-EACS model, extensive experiments with varying node counts were carried out. In terms of network stability, energy efficiency, end-to-end latency, packet delivery ratio, throughput, packet loss rate, and network lifetime, the results demonstrate that the AWDO-EACS outperforms contemporary clustering strategies. Specifically, the AWDO-EACS obtained a significant increase in energy efficiency, with a 27.35 percent improvement over existing clustering techniques for 20 nodes and an 83.41 percent improvement for 100 nodes. In addition, the end-to-end latency was considerably reduced, with a 96-round lifetime for 20 nodes and a 74-round lifetime for 100 nodes, compared to 37 and 20 rounds, respectively, for GA-LEACH and MW-LEACH. In addition, the AWDO-EACS demonstrated superior packet delivery performance, with a 99.32% delivery ratio for 100 nodes, eclipsing the 76.90% and 82.65% of GA-LEACH and MW-LEACH, respectively. Moreover, the AWDO-EACS model demonstrated a remarkably low packet loss rate of 0.68 percent for 100 nodes, compared to 23.10 percent for GA-LEACH and 17.35 percent for MW-LEACH. The effectiveness of the proposed AWDO-EACS model in enhancing the overall performance of WSNs is demonstrated.
{"title":"Adaptive Wind Driven Optimization based Energy Aware Clustering Scheme for Wireless Sensor Networks","authors":"K. Muthulakshmi, Sundar Prakash Balaji, S. Stephe, J. Vijayalakshmi, PhD SUNDAR PRAKASH BALAJI","doi":"10.17559/tv-20230610000715","DOIUrl":"https://doi.org/10.17559/tv-20230610000715","url":null,"abstract":": Wireless Sensor Networks (WSNs) are utilised in a variety of applications due to their capacity to capture and transmit environmental data. Clustering has emerged as an efficient method for improving energy efficiency in WSNs. To resolve these issues, we propose an Adaptive Wind Driven Optimisation based Energy Aware Clustering Scheme (AWDO-EACS) for WSNs. The AWDO-EACS model presents an extended form of the Wind Driven Optimisation (WDO) algorithm, designated AWDO, with optimised inherent term values. The proposed model takes into account multiple objectives, such as energy consumption, distance, and end-to-end latency, in order to achieve superior energy efficiency and an extended network lifetime. To validate the efficacy of the AWDO-EACS model, extensive experiments with varying node counts were carried out. In terms of network stability, energy efficiency, end-to-end latency, packet delivery ratio, throughput, packet loss rate, and network lifetime, the results demonstrate that the AWDO-EACS outperforms contemporary clustering strategies. Specifically, the AWDO-EACS obtained a significant increase in energy efficiency, with a 27.35 percent improvement over existing clustering techniques for 20 nodes and an 83.41 percent improvement for 100 nodes. In addition, the end-to-end latency was considerably reduced, with a 96-round lifetime for 20 nodes and a 74-round lifetime for 100 nodes, compared to 37 and 20 rounds, respectively, for GA-LEACH and MW-LEACH. In addition, the AWDO-EACS demonstrated superior packet delivery performance, with a 99.32% delivery ratio for 100 nodes, eclipsing the 76.90% and 82.65% of GA-LEACH and MW-LEACH, respectively. Moreover, the AWDO-EACS model demonstrated a remarkably low packet loss rate of 0.68 percent for 100 nodes, compared to 23.10 percent for GA-LEACH and 17.35 percent for MW-LEACH. The effectiveness of the proposed AWDO-EACS model in enhancing the overall performance of WSNs is demonstrated.","PeriodicalId":510054,"journal":{"name":"Tehnicki vjesnik - Technical Gazette","volume":"44 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140699291","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 : 2024-04-15DOI: 10.17559/tv-20230117000231
Qianwen Kou, Lingxin Bu, Jun Chen, A. Sugirbay
: In this study, an air-assisted mechanical seed-metering device for millet (Setariaitalica) was developed. The discrete element method (DEM) and response surface method (RSM) were used to research the influences of the side length, depth, and oblique angle of the shaped hole on the seeding performance (quality, multiples, and miss indices) of the seed-metering device, and the parameters of the shaped hole were optimized. Furthermore, after determining the size of the shaped hole, the influence of negative pressure on the quality index was studied under the condition of the higher rotational speed of the seed-sowing wheel. At the rotational speed of 20 r/min, the optimal values of the side length, depth, and oblique angle of the shaped hole were found to be 3.55 mm, 2.1 mm, and 109°, which resulted in a quality index of 94%. The optimal parameters were consistent with the simulated values and bench test values, with a relative deviation of 5.05%. Moreover, under the condition of a rotational speed of 40 r/min, the application of appropriate negative pressure to the seeds was found to promote seed entry into the shaped hole, thus significantly reducing the miss index and increasing the quality index. At the negative pressure of − 90 Pa, the quality index was found to exceed 90%. These results provide a theoretical basis for future studies on a seed-metering device for millet (Setaria italica).
:本研究开发了一种用于小米（Setariaitalica）的空气辅助机械式种子计量装置。采用离散元法（DEM）和响应面法（RSM）研究了异形孔的边长、深度和斜角对种子计量装置播种性能（质量指标、倍数指标和漏种指标）的影响，并对异形孔的参数进行了优化。此外，在确定了异形孔的尺寸后，还研究了在播种轮转速较高的条件下负压对质量指标的影响。在转速为 20 r/min 时，发现异形孔的边长、深度和斜角的最佳值分别为 3.55 mm、2.1 mm 和 109°，质量指数为 94%。最佳参数与模拟值和台架试验值一致，相对偏差为 5.05%。此外，在转速为 40 r/min 的条件下，对种子施加适当的负压可促进种子进入异形孔，从而显著降低漏种指数，提高质量指数。负压为 - 90 Pa 时，质量指数超过 90%。这些结果为今后研究小米（Setaria italica）种子计量装置提供了理论依据。
{"title":"Design of an Air-Assisted Mechanical Seed-Metering Device for Millet (Setaria Italica) Based on Experiments and Simulation Analysis","authors":"Qianwen Kou, Lingxin Bu, Jun Chen, A. Sugirbay","doi":"10.17559/tv-20230117000231","DOIUrl":"https://doi.org/10.17559/tv-20230117000231","url":null,"abstract":": In this study, an air-assisted mechanical seed-metering device for millet (Setariaitalica) was developed. The discrete element method (DEM) and response surface method (RSM) were used to research the influences of the side length, depth, and oblique angle of the shaped hole on the seeding performance (quality, multiples, and miss indices) of the seed-metering device, and the parameters of the shaped hole were optimized. Furthermore, after determining the size of the shaped hole, the influence of negative pressure on the quality index was studied under the condition of the higher rotational speed of the seed-sowing wheel. At the rotational speed of 20 r/min, the optimal values of the side length, depth, and oblique angle of the shaped hole were found to be 3.55 mm, 2.1 mm, and 109°, which resulted in a quality index of 94%. The optimal parameters were consistent with the simulated values and bench test values, with a relative deviation of 5.05%. Moreover, under the condition of a rotational speed of 40 r/min, the application of appropriate negative pressure to the seeds was found to promote seed entry into the shaped hole, thus significantly reducing the miss index and increasing the quality index. At the negative pressure of − 90 Pa, the quality index was found to exceed 90%. These results provide a theoretical basis for future studies on a seed-metering device for millet (Setaria italica).","PeriodicalId":510054,"journal":{"name":"Tehnicki vjesnik - Technical Gazette","volume":"6 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140700953","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 : 2024-04-15DOI: 10.17559/tv-20230408000511
DO ThaiNgoc, Anatoliy Grigorevich, Nikita Andreevich Protosenya, Vi Belyakov, Quang Van Van PHAM, Nguyen
: The growth of cities induced an increased demand for infrastructure including tunnel constructions. Because the urban ground usually is soft soil therefore tunnel constructions may cause ground settlement and damage the structures around. So, it is very important to carefully consider the tunnel construction effect on the design, construction, operation, and risk assessment of structures around the tunnel. In this paper, the finite element method was used to study the influence of the tunnel excavation on beneath piled buildings at the Hanoi metro line 03. These results indicate that the internal forces and displacements of the pile are greatest for the front pile closest to the tunnel in the group, which is the first pile to be loaded in the group. Two parameters: the tunnel burial depth and the distance from the tunnel centreline to the beneath-piled building have been investigated. These results found that the distance from the tunnel axis to the beneath piled building increases, while both the internal forces and displacements of the pile decrease. These internal forces and displacements increase with greater tunnel burial depth. The magnitude of normal forces and bending moments in the tunnel lining increase as the tunnel burial depth increases, while normal forces increase and bending moments in the tunnel lining decrease when the distance from the tunnel axis to the beneath-piled building decreases.
{"title":"Finite Element Analysis of the Tunnel-Beneath Piled Building Interaction","authors":"DO ThaiNgoc, Anatoliy Grigorevich, Nikita Andreevich Protosenya, Vi Belyakov, Quang Van Van PHAM, Nguyen","doi":"10.17559/tv-20230408000511","DOIUrl":"https://doi.org/10.17559/tv-20230408000511","url":null,"abstract":": The growth of cities induced an increased demand for infrastructure including tunnel constructions. Because the urban ground usually is soft soil therefore tunnel constructions may cause ground settlement and damage the structures around. So, it is very important to carefully consider the tunnel construction effect on the design, construction, operation, and risk assessment of structures around the tunnel. In this paper, the finite element method was used to study the influence of the tunnel excavation on beneath piled buildings at the Hanoi metro line 03. These results indicate that the internal forces and displacements of the pile are greatest for the front pile closest to the tunnel in the group, which is the first pile to be loaded in the group. Two parameters: the tunnel burial depth and the distance from the tunnel centreline to the beneath-piled building have been investigated. These results found that the distance from the tunnel axis to the beneath piled building increases, while both the internal forces and displacements of the pile decrease. These internal forces and displacements increase with greater tunnel burial depth. The magnitude of normal forces and bending moments in the tunnel lining increase as the tunnel burial depth increases, while normal forces increase and bending moments in the tunnel lining decrease when the distance from the tunnel axis to the beneath-piled building decreases.","PeriodicalId":510054,"journal":{"name":"Tehnicki vjesnik - Technical Gazette","volume":"56 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140701111","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 : 2024-04-15DOI: 10.17559/tv-20231011001015
Zhengying Jiang, Zhengang Jiang
: In order to measure the quality of aluminum alloy laser welding workpiece online, an optical coherence tomography on-line detection system was established. Porosity is one of the most common defects in laser welding of aluminum alloy. The porosity produced during welding will seriously affect the welding quality. Firstly, a test device of laser welding quality detection system is built based on optical coherence tomography algorithm. Then, the theoretical model of the optical coherence tomography detection system is built, and the key parameters affecting the detection device are qualitatively analyzed. Then, deep convolutional neural network algorithm is used to process the image. Finally, the testing equipment is used to test the sample, and the testing results are analyzed. The experimental results show that this method can detect the weld quality of laser welding, and the detection accuracy is 20 μ m.
{"title":"Advanced Optical Coherence Tomography for Real-Time Detection of Defects in Aluminum Alloy Laser Welding","authors":"Zhengying Jiang, Zhengang Jiang","doi":"10.17559/tv-20231011001015","DOIUrl":"https://doi.org/10.17559/tv-20231011001015","url":null,"abstract":": In order to measure the quality of aluminum alloy laser welding workpiece online, an optical coherence tomography on-line detection system was established. Porosity is one of the most common defects in laser welding of aluminum alloy. The porosity produced during welding will seriously affect the welding quality. Firstly, a test device of laser welding quality detection system is built based on optical coherence tomography algorithm. Then, the theoretical model of the optical coherence tomography detection system is built, and the key parameters affecting the detection device are qualitatively analyzed. Then, deep convolutional neural network algorithm is used to process the image. Finally, the testing equipment is used to test the sample, and the testing results are analyzed. The experimental results show that this method can detect the weld quality of laser welding, and the detection accuracy is 20 μ m.","PeriodicalId":510054,"journal":{"name":"Tehnicki vjesnik - Technical Gazette","volume":"53 S3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140702519","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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