Vehicle accidents result in numerous fatal and non-fatal injuries that place a heavy financial burden on individuals. The risk of disability for individuals has also increased, and it is difficult for their families to survive. Driver drowsiness is one of the major causes of accidents on the roads. Various researchers have proposed a wide range of approaches, including subjective, vehicle-based, physiological and behavioral measures that help to develop driver drowsiness detection system (DDDS). Most of the studies on DDDS have been developed by utilizing only single measure that haven’t yielded positive results. In this paper, a hybrid model-based DDDS is proposed that combines sensor-based physiological and behavioral measures to detect the drowsy state of the driver in an efficient way. Galvanic skin response (GSR) sensor and camera have been effectively used to detect the drowsy state of the driver. A study was carried out on ten individuals to implement and evaluate the performance of the system. The results indicate that the proposed DDDS can detect transitions from alert to a drowsy state of the driver effectively with an accuracy of 91%. The proposed system would enable drivers to use their vehicles more securely and effectively on the roads.
{"title":"Performance analysis of hybrid model to detect driver drowsiness at early stage","authors":"Jaspreet Singh Bajaj, Naveen Kumar, Rajesh Kumar Kaushal","doi":"10.6703/ijase.202309_20(3).010","DOIUrl":"https://doi.org/10.6703/ijase.202309_20(3).010","url":null,"abstract":"Vehicle accidents result in numerous fatal and non-fatal injuries that place a heavy financial burden on individuals. The risk of disability for individuals has also increased, and it is difficult for their families to survive. Driver drowsiness is one of the major causes of accidents on the roads. Various researchers have proposed a wide range of approaches, including subjective, vehicle-based, physiological and behavioral measures that help to develop driver drowsiness detection system (DDDS). Most of the studies on DDDS have been developed by utilizing only single measure that haven’t yielded positive results. In this paper, a hybrid model-based DDDS is proposed that combines sensor-based physiological and behavioral measures to detect the drowsy state of the driver in an efficient way. Galvanic skin response (GSR) sensor and camera have been effectively used to detect the drowsy state of the driver. A study was carried out on ten individuals to implement and evaluate the performance of the system. The results indicate that the proposed DDDS can detect transitions from alert to a drowsy state of the driver effectively with an accuracy of 91%. The proposed system would enable drivers to use their vehicles more securely and effectively on the roads.","PeriodicalId":13778,"journal":{"name":"International Journal of Applied Science and Engineering","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135401827","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 : 2023-01-01DOI: 10.6703/ijase.202309_20(3).005
Wen-Chang Cheng, Hung-Chou Hsiao, You-Quan Hong, De-Yu Wang
This study proposes a face recognition method based on FaceNet for face masks. FaceNet converts faces into 128-dimensional feature vectors using a network of deep learning models. The smaller the Euclidean distance between different face images, the closer the person is to the same person; conversely, the larger the Euclidean distance, the more different the person is. Wearing a mask affects some feature vector dimensions of FaceNet conversion, resulting in reduced recognition ability. This study uses a Genetic Algorithm (GA) to select and remove the feature vectors affected by mask wearing. The experimental results show that the validation rate value of 55 features removed by the GA is increased from 0.550 to 0.650 for the original unremoved features.
{"title":"Masked face recognition based on facenet and genetic algorithm","authors":"Wen-Chang Cheng, Hung-Chou Hsiao, You-Quan Hong, De-Yu Wang","doi":"10.6703/ijase.202309_20(3).005","DOIUrl":"https://doi.org/10.6703/ijase.202309_20(3).005","url":null,"abstract":"This study proposes a face recognition method based on FaceNet for face masks. FaceNet converts faces into 128-dimensional feature vectors using a network of deep learning models. The smaller the Euclidean distance between different face images, the closer the person is to the same person; conversely, the larger the Euclidean distance, the more different the person is. Wearing a mask affects some feature vector dimensions of FaceNet conversion, resulting in reduced recognition ability. This study uses a Genetic Algorithm (GA) to select and remove the feature vectors affected by mask wearing. The experimental results show that the validation rate value of 55 features removed by the GA is increased from 0.550 to 0.650 for the original unremoved features.","PeriodicalId":13778,"journal":{"name":"International Journal of Applied Science and Engineering","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135402213","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 : 2023-01-01DOI: 10.6703/ijase.202303_20(1).006
S. Hadiyoso, S. Aulia, I. D. Irawati
{"title":"Diagnosis of lung and colon cancer based on clinical pathology images using convolutional neural network and CLAHE framework","authors":"S. Hadiyoso, S. Aulia, I. D. Irawati","doi":"10.6703/ijase.202303_20(1).006","DOIUrl":"https://doi.org/10.6703/ijase.202303_20(1).006","url":null,"abstract":"","PeriodicalId":13778,"journal":{"name":"International Journal of Applied Science and Engineering","volume":"234 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73415097","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 : 2023-01-01DOI: 10.6703/ijase.202306_20(2).008
L. Ong, Verenska Victoria Lauw, S. Tang, Y. Arifin, L. Riadi
{"title":"Application of solar photovoltaic for the cultivation of Arthospira platensis (Spirulina)","authors":"L. Ong, Verenska Victoria Lauw, S. Tang, Y. Arifin, L. Riadi","doi":"10.6703/ijase.202306_20(2).008","DOIUrl":"https://doi.org/10.6703/ijase.202306_20(2).008","url":null,"abstract":"","PeriodicalId":13778,"journal":{"name":"International Journal of Applied Science and Engineering","volume":"7 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85254530","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 : 2023-01-01DOI: 10.6703/ijase.202306_20(2).007
M. Al-Dabbagh, Abdullah Ahmed Shekho, M. Yuce, Dheyaa Ghanim Abdulrazzaq
{"title":"Effects of upstream and downstream ramp on flow characteristics over a cylindrical weir","authors":"M. Al-Dabbagh, Abdullah Ahmed Shekho, M. Yuce, Dheyaa Ghanim Abdulrazzaq","doi":"10.6703/ijase.202306_20(2).007","DOIUrl":"https://doi.org/10.6703/ijase.202306_20(2).007","url":null,"abstract":"","PeriodicalId":13778,"journal":{"name":"International Journal of Applied Science and Engineering","volume":"78 10","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72368626","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 : 2023-01-01DOI: 10.6703/ijase.202309_20(3).004
Osamah R. Alkhafaj, Nabil J. Yasin, Audai H. Al-abbas
This experimental study investigates the use of R1234-yf and ethanol as working fluids in a wickless heat pipe, with air flowing through the heat exchanger ducts. The hot air temperatures were set at 50°C, 55°C and 60°C, while the cold air temperature was fixed at 20°C. Both hot and cold air streams were pumped with Reynolds numbers ranging from 2583 to 20664. The wickless heat pipe was oriented vertically and filled with varying filling ratios of 20%, 40%, 60%, 80% and 100%. The results demonstrate that the wickless heat pipe - heat exchanger achieved the best thermal performance of 0.181 at a filling ratio of 60%, using ethanol as the working fluid and a Reynolds number of 10332. Additionally, a novel approach is proposed to predict the overall thermal performance of the wickless heat pipe - heat exchanger
{"title":"Optimization of wickless heat pipe heat exchanger using R1234-yf and ethanol as working fluids","authors":"Osamah R. Alkhafaj, Nabil J. Yasin, Audai H. Al-abbas","doi":"10.6703/ijase.202309_20(3).004","DOIUrl":"https://doi.org/10.6703/ijase.202309_20(3).004","url":null,"abstract":"This experimental study investigates the use of R1234-yf and ethanol as working fluids in a wickless heat pipe, with air flowing through the heat exchanger ducts. The hot air temperatures were set at 50°C, 55°C and 60°C, while the cold air temperature was fixed at 20°C. Both hot and cold air streams were pumped with Reynolds numbers ranging from 2583 to 20664. The wickless heat pipe was oriented vertically and filled with varying filling ratios of 20%, 40%, 60%, 80% and 100%. The results demonstrate that the wickless heat pipe - heat exchanger achieved the best thermal performance of 0.181 at a filling ratio of 60%, using ethanol as the working fluid and a Reynolds number of 10332. Additionally, a novel approach is proposed to predict the overall thermal performance of the wickless heat pipe - heat exchanger","PeriodicalId":13778,"journal":{"name":"International Journal of Applied Science and Engineering","volume":"267 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135401825","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 : 2023-01-01DOI: 10.6703/ijase.202309_20(3).003
Muhamad Hidayat, C. Chiang, Max Yen
{"title":"Determination of the defect’s size of multi-layer woven CFRP based on its temperature profile","authors":"Muhamad Hidayat, C. Chiang, Max Yen","doi":"10.6703/ijase.202309_20(3).003","DOIUrl":"https://doi.org/10.6703/ijase.202309_20(3).003","url":null,"abstract":"","PeriodicalId":13778,"journal":{"name":"International Journal of Applied Science and Engineering","volume":"21 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82639884","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}
{"title":"Preliminary study on defect detection for sandwich composites using Impact-Echo method","authors":"Ying-Tzu Ke, Yung-Chiang Lin, Chia-Chi Cheng, Jien-Chen Chen, Yu-Hung Pai, K. Hsu","doi":"10.6703/ijase.202306_20(2).002","DOIUrl":"https://doi.org/10.6703/ijase.202306_20(2).002","url":null,"abstract":"","PeriodicalId":13778,"journal":{"name":"International Journal of Applied Science and Engineering","volume":"3 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79594967","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 : 2023-01-01DOI: 10.6703/ijase.202309_20(3).006
Hsin-Hung Tu
Arch height index (AHI) between sitting and standing is an important reference in assessing foot mobility and foot classification in podiatry clinic. The relationships of three types of AHIs related to different foot lengths in sitting and standing postures are desired to be investigated in clinical applications. The purpose of this study is to investigate the relationships of three arch height indices (AHIs) calculated from total foot length, medial ball length and lateral ball length between sitting and standing postures and to examine the performances of them. Three AHIs of right feet of 150 subjects, including 83 males and 67 females, were measured using 3D foot scanner with an accuracy level of 0.05 cm in sitting and standing postures in this study. The results showed that three AHIs were significantly different from each other, and had the same performances between sitting and standing postures. AHI values in the sitting posture were all larger than those in the standing posture, and AHI-MBL has a better explaining power on AHI-TFL than AHI-LBL on AHI-TFL in both postures. The time and priority of using these three AHIs in evaluating foot types with normality and deformity were suggested.
{"title":"Relationships of three arch height indices related to different foot lengths between sitting and standing postures","authors":"Hsin-Hung Tu","doi":"10.6703/ijase.202309_20(3).006","DOIUrl":"https://doi.org/10.6703/ijase.202309_20(3).006","url":null,"abstract":"Arch height index (AHI) between sitting and standing is an important reference in assessing foot mobility and foot classification in podiatry clinic. The relationships of three types of AHIs related to different foot lengths in sitting and standing postures are desired to be investigated in clinical applications. The purpose of this study is to investigate the relationships of three arch height indices (AHIs) calculated from total foot length, medial ball length and lateral ball length between sitting and standing postures and to examine the performances of them. Three AHIs of right feet of 150 subjects, including 83 males and 67 females, were measured using 3D foot scanner with an accuracy level of 0.05 cm in sitting and standing postures in this study. The results showed that three AHIs were significantly different from each other, and had the same performances between sitting and standing postures. AHI values in the sitting posture were all larger than those in the standing posture, and AHI-MBL has a better explaining power on AHI-TFL than AHI-LBL on AHI-TFL in both postures. The time and priority of using these three AHIs in evaluating foot types with normality and deformity were suggested.","PeriodicalId":13778,"journal":{"name":"International Journal of Applied Science and Engineering","volume":"105 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135401822","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 : 2023-01-01DOI: 10.6703/ijase.202303_20(1).005
Hung-Yu Lin, D. S. Saputri, S. Yanti, D. Agrawal, Wengjun Yang, W. Chien
{"title":"Analysis of phytoestrogens from eleven soybean cultivars using LC-MS approach","authors":"Hung-Yu Lin, D. S. Saputri, S. Yanti, D. Agrawal, Wengjun Yang, W. Chien","doi":"10.6703/ijase.202303_20(1).005","DOIUrl":"https://doi.org/10.6703/ijase.202303_20(1).005","url":null,"abstract":"","PeriodicalId":13778,"journal":{"name":"International Journal of Applied Science and Engineering","volume":"64 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80882470","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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