A new swirl measurement system was developed by installing bevel gears and a slit rotary valve into an impulse- type swirl measurement system of the type traditionally used to measure the swirl ratio and flow coefficient of engine intake ports. When operating this new swirl measurement system, it was confirmed that the characteristics of the intake air flow rate to the cylinders were similar to those of a typical operating engine condition. When the valve lift was limited to the cam angle range of 160 to 200 (the valve lift is maximized at a cam angle of 180°), the flow coefficient Cf increased as the cam angle increased under a constant camshaft rotation speed. Moreover, as the rotation speed of the camshaft increased, the Cf value decreased slightly. The swirl ratio NR in the cam angle range of 160 to 200 showed a nearly constant value with an increase of the cam angle at a constant camshaft rotation speed. There were also no significant changes in Cf with an increase in the camshaft rotation speed. NR measurement results while changing the camshaft rotation speed cannot be obtained by the traditional impulse swirl measurement method. NR measurement results with the new swirl measurement system can be used as basic data when calculating spray dispersion characteristics considering the engine rotation speed.
通过在传统用于测量发动机进气口漩涡比和流量系数的脉冲式漩涡测量系统中安装锥齿轮和狭缝旋转阀，开发了一种新的漩涡测量系统。在操作这种新的漩涡测量系统时，可以确认进入气缸的进气流速特征与典型的发动机工作状态相似。当气门升程限制在凸轮角 160 到 200 的范围内时（凸轮角 180°时气门升程最大），在凸轮轴转速不变的情况下，流量系数 Cf 随着凸轮角的增大而增大。此外，随着凸轮轴转速的增加，Cf 值略有下降。在凸轮轴转速不变的情况下，凸轮角度在 160 到 200 之间时，漩涡比 NR 的值随着凸轮角度的增大几乎保持不变。随着凸轮轴转速的增加，Cf 也没有明显变化。传统的脉冲漩涡测量方法无法获得改变凸轮轴转速时的 NR 测量结果。在考虑发动机转速的情况下计算喷雾分散特性时，可将新漩涡测量系统的 NR 测量结果用作基本数据。
{"title":"A study of swirl flow measurements in a cylinder under an intake flow similar to an engine operating condition using a rotating slit disk valve","authors":"","doi":"10.59018/012420","DOIUrl":"https://doi.org/10.59018/012420","url":null,"abstract":"A new swirl measurement system was developed by installing bevel gears and a slit rotary valve into an impulse- type swirl measurement system of the type traditionally used to measure the swirl ratio and flow coefficient of engine intake ports. When operating this new swirl measurement system, it was confirmed that the characteristics of the intake air flow rate to the cylinders were similar to those of a typical operating engine condition. When the valve lift was limited to the cam angle range of 160 to 200 (the valve lift is maximized at a cam angle of 180°), the flow coefficient Cf increased as the cam angle increased under a constant camshaft rotation speed. Moreover, as the rotation speed of the camshaft increased, the Cf value decreased slightly. The swirl ratio NR in the cam angle range of 160 to 200 showed a nearly constant value with an increase of the cam angle at a constant camshaft rotation speed. There were also no significant changes in Cf with an increase in the camshaft rotation speed. NR measurement results while changing the camshaft rotation speed cannot be obtained by the traditional impulse swirl measurement method. NR measurement results with the new swirl measurement system can be used as basic data when calculating spray dispersion characteristics considering the engine rotation speed.","PeriodicalId":38652,"journal":{"name":"ARPN Journal of Engineering and Applied Sciences","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140231885","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}
Garment sectors are a core component of Pakistan's industries. The escalating issues of productivity and quality, coupled with rising operational costs and time constraints, have had a significant adverse impact on garment manufacturing firms. Therefore, this research was conducted within a well-recognized garment industry in Karachi, Pakistan. The DMAIC approach of Six Sigma was chosen for this study to provide a structured framework for the identification, quantification, and elimination of sources of variation in operational procedures. Additionally, it focused on the optimization and improvement of operational variables, along with ensuring performance sustainability through the integration of multiple lean techniques. In conclusion, the results indicate a notable reduction in defect rates, enhanced cost-effectiveness, improved quality, reduced production time, and increased productivity following the implementation of problem-solving practices in the sewing (production) section. The study also highlights the evident relationship among the mentioned constraints.
{"title":"Improving quality and efficiency: A Six Sigma approach to problem solving in the sewing unit of a garments manufacturer based in Pakistan","authors":"","doi":"10.59018/012421","DOIUrl":"https://doi.org/10.59018/012421","url":null,"abstract":"Garment sectors are a core component of Pakistan's industries. The escalating issues of productivity and quality, coupled with rising operational costs and time constraints, have had a significant adverse impact on garment manufacturing firms. Therefore, this research was conducted within a well-recognized garment industry in Karachi, Pakistan. The DMAIC approach of Six Sigma was chosen for this study to provide a structured framework for the identification, quantification, and elimination of sources of variation in operational procedures. Additionally, it focused on the optimization and improvement of operational variables, along with ensuring performance sustainability through the integration of multiple lean techniques. In conclusion, the results indicate a notable reduction in defect rates, enhanced cost-effectiveness, improved quality, reduced production time, and increased productivity following the implementation of problem-solving practices in the sewing (production) section. The study also highlights the evident relationship among the mentioned constraints.","PeriodicalId":38652,"journal":{"name":"ARPN Journal of Engineering and Applied Sciences","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140233054","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 growing use of sheet metal in various industries such as automotive, packaging, medical appliances, cylinder production, Apparatus construction, Tank construction, Aircraft bodies, Missile production, Satellite dishes, road building and road signs, and household appliances, is attributed to its ease of manufacturing, handling, and use. To meet customer demands, sheet metal product manufacturing industries are working towards producing circular feature products of good quality at a large scale and low cost. To this end, this research emphasis the design, analysis, and fabrication of an electric circular sheet metal shearing machine, this would replace the punching and blanking operations and reduce scrap value from the stock material. The research includes concept design, detail design and analysis, assembly, 3D modelling, and fabrication of the Machine.
{"title":"Design and fabrication of circular sheet metal shearing machine","authors":"","doi":"10.59018/012417","DOIUrl":"https://doi.org/10.59018/012417","url":null,"abstract":"The growing use of sheet metal in various industries such as automotive, packaging, medical appliances, cylinder production, Apparatus construction, Tank construction, Aircraft bodies, Missile production, Satellite dishes, road building and road signs, and household appliances, is attributed to its ease of manufacturing, handling, and use. To meet customer demands, sheet metal product manufacturing industries are working towards producing circular feature products of good quality at a large scale and low cost. To this end, this research emphasis the design, analysis, and fabrication of an electric circular sheet metal shearing machine, this would replace the punching and blanking operations and reduce scrap value from the stock material. The research includes concept design, detail design and analysis, assembly, 3D modelling, and fabrication of the Machine.","PeriodicalId":38652,"journal":{"name":"ARPN Journal of Engineering and Applied Sciences","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140234319","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 traditional sources of energy recede and demand for energy rises at an unprecedented pace, it is difficult for the available sources to satisfy demands. As a result, this research focuses on combining conventional generation with distributed generation, each of which can be used independently. For both industrial and residential electricity suppliers, providing a secure, continuous, and safe electrical supply is a critical necessity. As we progress toward a more sustainable approach to generating electricity (both renewable and nuclear) from the currently prevalent non-renewable sources, a hybrid supply system is an intermediate phase. This project aims to simulate a three-phase power plant that incorporates a conventional steam turbine and a DC-AC inverter generation device powered by solar to produce a total of 100kW of power with a power factor of 1. The input torque to the synchronous generator and the DC voltage to the distributed system vary depending on the output power potential of each system. Both devices achieve a constant voltage at the load. When the two systems work independently, the voltages produced by both are in phase and have the same amplitude.
{"title":"Integration of dispersed renewable energy generating in power distribution network","authors":"","doi":"10.59018/012422","DOIUrl":"https://doi.org/10.59018/012422","url":null,"abstract":"As traditional sources of energy recede and demand for energy rises at an unprecedented pace, it is difficult for the available sources to satisfy demands. As a result, this research focuses on combining conventional generation with distributed generation, each of which can be used independently. For both industrial and residential electricity suppliers, providing a secure, continuous, and safe electrical supply is a critical necessity. As we progress toward a more sustainable approach to generating electricity (both renewable and nuclear) from the currently prevalent non-renewable sources, a hybrid supply system is an intermediate phase. This project aims to simulate a three-phase power plant that incorporates a conventional steam turbine and a DC-AC inverter generation device powered by solar to produce a total of 100kW of power with a power factor of 1. The input torque to the synchronous generator and the DC voltage to the distributed system vary depending on the output power potential of each system. Both devices achieve a constant voltage at the load. When the two systems work independently, the voltages produced by both are in phase and have the same amplitude.","PeriodicalId":38652,"journal":{"name":"ARPN Journal of Engineering and Applied Sciences","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140234369","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}
Noise is one of the environmental health problems in big cities. The 1988 WHO report as submitted by the Indonesian Health Service (1995), states that 8% - 12% of the world's population has suffered from the effects of noise. The activity of residents of the city of Bogor a suburb of the capital city of Jakarta in Indonesia is relatively high. Along with the economic development in the city of Bogor, the number of motorized vehicles operating both private and public vehicles has also increased. The purpose of this study was to determine the average speed of motorized vehicles that pass through the Dramaga highway, especially in front of the Karya Baki Pratiwi Hospital, and also to determine the level of noise generated due to the speed of motorized vehicles. The method used in this study is a quantitative method by calculating the number of vehicles and the average speed of vehicles and data analysis. The data taken is vehicle speed data every 15 minutes and noise levels using a Sound Level Meter (SLM). In this study, three SLMs were used which would be placed at three points. The results showed that the speed of the vehicle affects the noise level which is quite significant. The results of data analysis show that the effect of speed on noise is 24%, where the equation is as follows, y=69.505 – 0.395x1 +0, 148x2 + 0.535x3. This equation means that if there is no decrease in motorcycle speed, light vehicle speed, and heavy vehicle speed, the noise level in SLM1 is 69.505 dBA. However, if there is an increase in the number of light vehicles by 0.148, a decrease in the number of motorcycles and large vehicles is obtained by 0.14, the noise level will increase by 0.395 dBA.
{"title":"Effect of traffic speed on noise generated by vehicles motorized in front of the Karya Bhakti Pratiwi Dramaga Bogor hospital","authors":"","doi":"10.59018/012423","DOIUrl":"https://doi.org/10.59018/012423","url":null,"abstract":"Noise is one of the environmental health problems in big cities. The 1988 WHO report as submitted by the Indonesian Health Service (1995), states that 8% - 12% of the world's population has suffered from the effects of noise. The activity of residents of the city of Bogor a suburb of the capital city of Jakarta in Indonesia is relatively high. Along with the economic development in the city of Bogor, the number of motorized vehicles operating both private and public vehicles has also increased. The purpose of this study was to determine the average speed of motorized vehicles that pass through the Dramaga highway, especially in front of the Karya Baki Pratiwi Hospital, and also to determine the level of noise generated due to the speed of motorized vehicles. The method used in this study is a quantitative method by calculating the number of vehicles and the average speed of vehicles and data analysis. The data taken is vehicle speed data every 15 minutes and noise levels using a Sound Level Meter (SLM). In this study, three SLMs were used which would be placed at three points. The results showed that the speed of the vehicle affects the noise level which is quite significant. The results of data analysis show that the effect of speed on noise is 24%, where the equation is as follows, y=69.505 – 0.395x1 +0, 148x2 + 0.535x3. This equation means that if there is no decrease in motorcycle speed, light vehicle speed, and heavy vehicle speed, the noise level in SLM1 is 69.505 dBA. However, if there is an increase in the number of light vehicles by 0.148, a decrease in the number of motorcycles and large vehicles is obtained by 0.14, the noise level will increase by 0.395 dBA.","PeriodicalId":38652,"journal":{"name":"ARPN Journal of Engineering and Applied Sciences","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140231154","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 study focused on the feasibility of soybean oil to use as a biofuel. This study presented the viability of soybean oil in terms of density, flashpoint, sulfur, heating value, specific fuel consumption, and ash content. It also showed the performance result when tested on a diesel engine in terms of fuel consumption, revolution per minute, the temperature at the exhaust pipe, cylinder head, engine block, brake power, and brake thermal efficiency. Soybean oil undergoes the process of transesterification to be used as a biofuel. It was mixed with commercially available diesel fuel upon testing in the diesel engine. The mixture contained 90% diesel fuel and 10% transesterified soybean oil. After testing, the performance of the diesel engine was measured. Transesterified soybean oil was feasible to use as a fuel according to the testing conducted. However, some improvements must have been made to increase the brake thermal efficiency. Evaluating different mixtures for diesel fuel and transesterified soybean oil must also be considered to get more efficient data. It is recommended to include emission testing for future studies.
{"title":"Performance test of a diesel engine using transesterified soybean oil mixed with diesel fuel","authors":"","doi":"10.59018/012418","DOIUrl":"https://doi.org/10.59018/012418","url":null,"abstract":"The study focused on the feasibility of soybean oil to use as a biofuel. This study presented the viability of soybean oil in terms of density, flashpoint, sulfur, heating value, specific fuel consumption, and ash content. It also showed the performance result when tested on a diesel engine in terms of fuel consumption, revolution per minute, the temperature at the exhaust pipe, cylinder head, engine block, brake power, and brake thermal efficiency. Soybean oil undergoes the process of transesterification to be used as a biofuel. It was mixed with commercially available diesel fuel upon testing in the diesel engine. The mixture contained 90% diesel fuel and 10% transesterified soybean oil. After testing, the performance of the diesel engine was measured. Transesterified soybean oil was feasible to use as a fuel according to the testing conducted. However, some improvements must have been made to increase the brake thermal efficiency. Evaluating different mixtures for diesel fuel and transesterified soybean oil must also be considered to get more efficient data. It is recommended to include emission testing for future studies.","PeriodicalId":38652,"journal":{"name":"ARPN Journal of Engineering and Applied Sciences","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140231159","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}
Land surface temperature is a study of the heat on the earth’s surface; it can be recognized by contacting the surface from Thermal Infrared wavelength which can be the roof, the top of buildings, water, or ice. Therefore, land surface temperature and air temperature are not the same. This study aims to analyze land surface temperature and land-use from Sentinel-2 Satellite data. The procedure is divided into 3 main steps: 1) Using data from Sentinel-3 Satellite to analyze temperature by using The Supplemental Nutrition Assistance Program (SNAP) program, 2) Land-use classification by using data from Sentinel-2 Satellite in Supervised Classification in the form of Maximum Likelihood Classifier. This study has classified land-use into 4 types: water, forest, urban, and agriculture, 3) Accuracy assessment. The result found that the land surface temperature of urban areas has the highest average land surface temperature, followed by forest, agriculture, and water.
{"title":"An analysis of land surface temperature and land-use from sentinel satellite data","authors":"","doi":"10.59018/012419","DOIUrl":"https://doi.org/10.59018/012419","url":null,"abstract":"Land surface temperature is a study of the heat on the earth’s surface; it can be recognized by contacting the surface from Thermal Infrared wavelength which can be the roof, the top of buildings, water, or ice. Therefore, land surface temperature and air temperature are not the same. This study aims to analyze land surface temperature and land-use from Sentinel-2 Satellite data. The procedure is divided into 3 main steps: 1) Using data from Sentinel-3 Satellite to analyze temperature by using The Supplemental Nutrition Assistance Program (SNAP) program, 2) Land-use classification by using data from Sentinel-2 Satellite in Supervised Classification in the form of Maximum Likelihood Classifier. This study has classified land-use into 4 types: water, forest, urban, and agriculture, 3) Accuracy assessment. The result found that the land surface temperature of urban areas has the highest average land surface temperature, followed by forest, agriculture, and water.","PeriodicalId":38652,"journal":{"name":"ARPN Journal of Engineering and Applied Sciences","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140234911","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}
Effective development of subsurface petroleum resources relies on the estimation of spatially distributed parameters at undrilled locations. Established geostatistical algorithms based on kriging exist for the estimation of scalar spatial variables such as porosity and permeability. This may not be suitable for the estimation of distributions of properties, such as grain size, whose whole distribution varies spatially. The current conventional approach is to fit a normal or log-normal distribution to the available data, and then to estimate the parameters of the distribution, the mean and standard deviation, spatially using kriging, taking care to consider any dependence between the mean and standard deviation. The assumption that all the grain size distributions can be approximated by a single distribution type is unsatisfactory, since datasets have very different-looking distributions, with variations in skewness, kurtosis, and modality. This paper presents an alternative approach that can handle significant variability in the distribution shape by separating the distribution into bins, like a histogram, and treating these bins as percentages in a composition. Compositional data needs to be mapped onto a simplex to overcome spurious correlations between those components, in addition, spatial estimation methods for compositional data have already been developed. However, the contribution to this field is the mapping of continuous data from distributions into a composition that enables the compositional kriging method to predict distributions at new locations. Moreover, the results showed the prediction distributions in the presence of varying modality, skewness, and kurtosis. Therefore, the grain size datasets in this paper have been working with the confidentiality restrictions so it explains the technique with a dataset of population ages from the US census 2010 for the state of Texas, which shows similar variability in distribution.
{"title":"Compositional kriging analysis: A spatial interpolation method for distributions","authors":"","doi":"10.59018/012412","DOIUrl":"https://doi.org/10.59018/012412","url":null,"abstract":"Effective development of subsurface petroleum resources relies on the estimation of spatially distributed parameters at undrilled locations. Established geostatistical algorithms based on kriging exist for the estimation of scalar spatial variables such as porosity and permeability. This may not be suitable for the estimation of distributions of properties, such as grain size, whose whole distribution varies spatially. The current conventional approach is to fit a normal or log-normal distribution to the available data, and then to estimate the parameters of the distribution, the mean and standard deviation, spatially using kriging, taking care to consider any dependence between the mean and standard deviation. The assumption that all the grain size distributions can be approximated by a single distribution type is unsatisfactory, since datasets have very different-looking distributions, with variations in skewness, kurtosis, and modality. This paper presents an alternative approach that can handle significant variability in the distribution shape by separating the distribution into bins, like a histogram, and treating these bins as percentages in a composition. Compositional data needs to be mapped onto a simplex to overcome spurious correlations between those components, in addition, spatial estimation methods for compositional data have already been developed. However, the contribution to this field is the mapping of continuous data from distributions into a composition that enables the compositional kriging method to predict distributions at new locations. Moreover, the results showed the prediction distributions in the presence of varying modality, skewness, and kurtosis. Therefore, the grain size datasets in this paper have been working with the confidentiality restrictions so it explains the technique with a dataset of population ages from the US census 2010 for the state of Texas, which shows similar variability in distribution.","PeriodicalId":38652,"journal":{"name":"ARPN Journal of Engineering and Applied Sciences","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140250908","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 the last decades, machine learning algorithms have witnessed a high significance in healthcare applications in terms of detecting various diseases. For instance, diabetic disease is considered one of the major health problems around the world. However, there is a need to deeply study a machine learning algorithm in the detection of diabetic disease. Therefore, this study presents a Fast Learning Network (FLN) algorithm in the detection of diabetic disease based on different numbers of hidden nodes. In this work, the Pima Indians Diabetes Database (PIDD) is used for training and testing the proposed FLN algorithm. Furthermore, the performance of the proposed model has been assessed in terms of several evaluation measurements such as accuracy, precision, recall, F-Measure, G-Mean, MCC, and specificity. The experimental results show that the highest achieved accuracy, recall, F-Measure, G-Mean, and MCC were 82.17%, 80.95%, 71.33%, 71.84%, and 59.54%, respectively. Meanwhile, the highest obtained results for precision and specificity were 67.50% and 83.12%, respectively. In addition, the performance of the proposed model has outperformed its comparative in terms of detection accuracy.
{"title":"Diabetes detection based on Fast Learning Network model","authors":"","doi":"10.59018/012414","DOIUrl":"https://doi.org/10.59018/012414","url":null,"abstract":"In the last decades, machine learning algorithms have witnessed a high significance in healthcare applications in terms of detecting various diseases. For instance, diabetic disease is considered one of the major health problems around the world. However, there is a need to deeply study a machine learning algorithm in the detection of diabetic disease. Therefore, this study presents a Fast Learning Network (FLN) algorithm in the detection of diabetic disease based on different numbers of hidden nodes. In this work, the Pima Indians Diabetes Database (PIDD) is used for training and testing the proposed FLN algorithm. Furthermore, the performance of the proposed model has been assessed in terms of several evaluation measurements such as accuracy, precision, recall, F-Measure, G-Mean, MCC, and specificity. The experimental results show that the highest achieved accuracy, recall, F-Measure, G-Mean, and MCC were 82.17%, 80.95%, 71.33%, 71.84%, and 59.54%, respectively. Meanwhile, the highest obtained results for precision and specificity were 67.50% and 83.12%, respectively. In addition, the performance of the proposed model has outperformed its comparative in terms of detection accuracy.","PeriodicalId":38652,"journal":{"name":"ARPN Journal of Engineering and Applied Sciences","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140249070","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}
Transportation is the movement or transfer of both people and goods from a place of origin to a destination. In this movement or movement, of course, using transportation facilities in the form of vehicles which in operation cause noises such as engine sound coming out through the muffler or horn. At a certain level, these sounds can still be tolerated in the sense that the consequences they cause are not a nuisance, but at a higher level, the sound generated by these vehicles is already a nuisance or pollution, which is called noise. The activity of the population of Bogor district a suburb of the capital city of Jakarta in Indonesia is relatively high. Along with economic development in the Bogor district, the number of motorized vehicles operating both private and public vehicles has also increased. The purpose of this study was to determine the average volume of motorized vehicles that pass through the Dramaga highway, especially in front of Karya Bhakti Pratiwi Hospital, and also to determine the level of noise generated due to the volume of motorized vehicles. The method used in this study is a quantitative method by calculating the number of vehicles and the average volume of vehicles and data analysis. The data taken is vehicle volume data every 15 minutes and noise levels using a Sound Level Meter (SLM). In this study, three SLMs were used which were placed at three points. The results showed that the volume of vehicles affects the noise level quite significantly. The results of data analysis show that the effect of volume on noise is 12.6%, where the equation is as follows, y = 72.898 - 0.003 x1 + 0.220x2 - 0.054x3. This equation means that if there is no decrease in motorcycle volume, light vehicle volume, and heavy vehicle volume, the noise level in SLM 1 is 72.898 dBA. However, if there is an increase in the number of light vehicles by 0.220, it is found that the number of motorcycles and heavy vehicles is decreased by 0.22, so the noise level will increase by 0.003 dBA.
{"title":"The effect of traffic volume on the noise caused by motorized vehicles in front of Karya Bhakti Pratiwi Dramaga Hospital, Bogor","authors":"","doi":"10.59018/012413","DOIUrl":"https://doi.org/10.59018/012413","url":null,"abstract":"Transportation is the movement or transfer of both people and goods from a place of origin to a destination. In this movement or movement, of course, using transportation facilities in the form of vehicles which in operation cause noises such as engine sound coming out through the muffler or horn. At a certain level, these sounds can still be tolerated in the sense that the consequences they cause are not a nuisance, but at a higher level, the sound generated by these vehicles is already a nuisance or pollution, which is called noise. The activity of the population of Bogor district a suburb of the capital city of Jakarta in Indonesia is relatively high. Along with economic development in the Bogor district, the number of motorized vehicles operating both private and public vehicles has also increased. The purpose of this study was to determine the average volume of motorized vehicles that pass through the Dramaga highway, especially in front of Karya Bhakti Pratiwi Hospital, and also to determine the level of noise generated due to the volume of motorized vehicles. The method used in this study is a quantitative method by calculating the number of vehicles and the average volume of vehicles and data analysis. The data taken is vehicle volume data every 15 minutes and noise levels using a Sound Level Meter (SLM). In this study, three SLMs were used which were placed at three points. The results showed that the volume of vehicles affects the noise level quite significantly. The results of data analysis show that the effect of volume on noise is 12.6%, where the equation is as follows, y = 72.898 - 0.003 x1 + 0.220x2 - 0.054x3. This equation means that if there is no decrease in motorcycle volume, light vehicle volume, and heavy vehicle volume, the noise level in SLM 1 is 72.898 dBA. However, if there is an increase in the number of light vehicles by 0.220, it is found that the number of motorcycles and heavy vehicles is decreased by 0.22, so the noise level will increase by 0.003 dBA.","PeriodicalId":38652,"journal":{"name":"ARPN Journal of Engineering and Applied Sciences","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140249550","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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