The existing object detection algorithms have low recognition accuracy for prohibited items due to the complex background, large variation of target scale, and mutual occlusion of objects in X-ray security inspection images. In order to accurately identify prohibited items in real-time, an X-ray security inspection image detection algorithm based on improved YOLOv4 is proposed. Firstly, deformable convolution is introduced into the network to improve the feature extraction ability of prohibited items. Then, GHM loss is used to optimize the loss function, so that the model can focus on the difficult classification samples that are more effective for training improvement. Finally, the non-maximum suppression method combining soft NMS and DIoU NMS is used to improve the detection ability of the algorithm for occluded targets. Experiments on the X-ray security inspection image dataset show that the mAP of the improved algorithm reaches 91.4%, which is 3.3% higher than the YOLOv4, and the detection speed meets the real-time requirements.
{"title":"X-ray Security Inspection Image Detection Algorithm Based on Improved YOLOv4","authors":"Cheng Zhou, Hui Xu, Bicai Yi, Weichao Yu, Chenwei Zhao","doi":"10.1109/ECICE52819.2021.9645636","DOIUrl":"https://doi.org/10.1109/ECICE52819.2021.9645636","url":null,"abstract":"The existing object detection algorithms have low recognition accuracy for prohibited items due to the complex background, large variation of target scale, and mutual occlusion of objects in X-ray security inspection images. In order to accurately identify prohibited items in real-time, an X-ray security inspection image detection algorithm based on improved YOLOv4 is proposed. Firstly, deformable convolution is introduced into the network to improve the feature extraction ability of prohibited items. Then, GHM loss is used to optimize the loss function, so that the model can focus on the difficult classification samples that are more effective for training improvement. Finally, the non-maximum suppression method combining soft NMS and DIoU NMS is used to improve the detection ability of the algorithm for occluded targets. Experiments on the X-ray security inspection image dataset show that the mAP of the improved algorithm reaches 91.4%, which is 3.3% higher than the YOLOv4, and the detection speed meets the real-time requirements.","PeriodicalId":176225,"journal":{"name":"2021 IEEE 3rd Eurasia Conference on IOT, Communication and Engineering (ECICE)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117177803","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 : 2021-10-29DOI: 10.1109/ECICE52819.2021.9645677
Hung-Pin Hsu
Due to global climate changes, ecological teaching has become a vital learning topic for students in recent years. This research has developed a set of learning materials with the theme of island ecology Happy Yuguang Island. This learning material consists of an environmental picture book of learning and realistic trip cards of experience to learn about ten kinds of animals, plants, and danger in the natural environment on the island. Children could also watch Augmented Reality animation of scenarios by scanning the picture book. In addition, children can learn by combining ecological knowledge in realistic trip cards with natural fields by Augmented Reality. They guide the children to correctly respond to ecological questions by dialogue robots of social community media. This study found this material help students have a correct understanding of the relationship between animals, plants, and the environment when used for the actual environment. Moreover, students who use this set of teaching materials in the classroom have a high degree of accuracy in knowledge learning.
{"title":"Evaluation of Learning Effectiveness Using Mobile Communication and Reality Technology to Assist Teaching: A Case of Island Ecological Teaching","authors":"Hung-Pin Hsu","doi":"10.1109/ECICE52819.2021.9645677","DOIUrl":"https://doi.org/10.1109/ECICE52819.2021.9645677","url":null,"abstract":"Due to global climate changes, ecological teaching has become a vital learning topic for students in recent years. This research has developed a set of learning materials with the theme of island ecology Happy Yuguang Island. This learning material consists of an environmental picture book of learning and realistic trip cards of experience to learn about ten kinds of animals, plants, and danger in the natural environment on the island. Children could also watch Augmented Reality animation of scenarios by scanning the picture book. In addition, children can learn by combining ecological knowledge in realistic trip cards with natural fields by Augmented Reality. They guide the children to correctly respond to ecological questions by dialogue robots of social community media. This study found this material help students have a correct understanding of the relationship between animals, plants, and the environment when used for the actual environment. Moreover, students who use this set of teaching materials in the classroom have a high degree of accuracy in knowledge learning.","PeriodicalId":176225,"journal":{"name":"2021 IEEE 3rd Eurasia Conference on IOT, Communication and Engineering (ECICE)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114187321","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 : 2021-10-29DOI: 10.1109/ECICE52819.2021.9645643
Mingyao Wei, Bo-Rui Lin, Yong-Ye Lin, Gwo-Jen Chiou, W. Kuo
Photoelectric smoke detectors, which detect smoke emitted in the early stages of fire, play a key role in automatic fire alarm equipment. When a fire is detected, the detector transmits an alarm signal to the control panel of the automatic fire alarm equipment. Therefore, the signal intensity and response speed of photoelectric smoke detectors are noteworthy research topics. This study designed an experiment system to explore the effect of different types of smoke on the signal intensity of commercial photoelectric smoke detectors. During a fire, different substances release smoke in different colors while burning. This variation may influence the response speed and sensitivity of smoke detectors. This study conducted an experiment using five types of powders to simulate the smoke release during a fire to test the response of photoelectric smoke detectors. This experimental method is more environmentally friendly as it did not involve any burning substance. The experiment results revealed that the photoelectric smoke detector generated different responses and signals of various intensities when detecting each type of smoke. This finding implies that fire alarm response time differs for different types of smoke. Experiment data revealed that when the detector light source was switched from IR LED to green LED, the sensitivity of the photoelectric smoke detector toward each type of smoke increased. The study findings provide a reference for improving the effectiveness and detection speed of photoelectric smoke detectors.
{"title":"Experimental Study on Effects of Light Source and Different Smoke Characteristics on Signal Intensity of Photoelectric Smoke Detectors","authors":"Mingyao Wei, Bo-Rui Lin, Yong-Ye Lin, Gwo-Jen Chiou, W. Kuo","doi":"10.1109/ECICE52819.2021.9645643","DOIUrl":"https://doi.org/10.1109/ECICE52819.2021.9645643","url":null,"abstract":"Photoelectric smoke detectors, which detect smoke emitted in the early stages of fire, play a key role in automatic fire alarm equipment. When a fire is detected, the detector transmits an alarm signal to the control panel of the automatic fire alarm equipment. Therefore, the signal intensity and response speed of photoelectric smoke detectors are noteworthy research topics. This study designed an experiment system to explore the effect of different types of smoke on the signal intensity of commercial photoelectric smoke detectors. During a fire, different substances release smoke in different colors while burning. This variation may influence the response speed and sensitivity of smoke detectors. This study conducted an experiment using five types of powders to simulate the smoke release during a fire to test the response of photoelectric smoke detectors. This experimental method is more environmentally friendly as it did not involve any burning substance. The experiment results revealed that the photoelectric smoke detector generated different responses and signals of various intensities when detecting each type of smoke. This finding implies that fire alarm response time differs for different types of smoke. Experiment data revealed that when the detector light source was switched from IR LED to green LED, the sensitivity of the photoelectric smoke detector toward each type of smoke increased. The study findings provide a reference for improving the effectiveness and detection speed of photoelectric smoke detectors.","PeriodicalId":176225,"journal":{"name":"2021 IEEE 3rd Eurasia Conference on IOT, Communication and Engineering (ECICE)","volume":"98 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124067613","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 : 2021-10-29DOI: 10.1109/ECICE52819.2021.9645733
Meltem Tekçin, Burcu Arman Kuzubasoglu, E. Sayar, Mehmet Kursat Yalcin, S. Bahadir
In this study, PEDOT:PSS conductive polymer printed flexible humidity sensor has been designed and fabricated to sense human respiration monitoring. PEDOT:PSS with conductive ink specifically formulated in our study, was printed on polyamide-based taffeta label fabric by an inkjet printing method. The sensitivity of the printed humidity sensor has been tested under different humidity levels inside a humidity chamber. Then, the sensor has been integrated into a face mask in order to evaluate the respiration monitoring of a user who wears the face mask in a real environment. The sensing capability of the wearable sensor and its response against respiration monitoring was evaluated under various breathing conditions such as fast and deep breathing, differentiating nose and mouth breathing. Owing to its flexible structure and printability onto textile, the wearable printed humidity sensor has the potential to be used for healthcare applications particularly for capturing user biomedical data.
{"title":"Performance Analysis of Wearable and Flexible Humidity Sensor Integrated to Face Mask for Respiration Monitoring","authors":"Meltem Tekçin, Burcu Arman Kuzubasoglu, E. Sayar, Mehmet Kursat Yalcin, S. Bahadir","doi":"10.1109/ECICE52819.2021.9645733","DOIUrl":"https://doi.org/10.1109/ECICE52819.2021.9645733","url":null,"abstract":"In this study, PEDOT:PSS conductive polymer printed flexible humidity sensor has been designed and fabricated to sense human respiration monitoring. PEDOT:PSS with conductive ink specifically formulated in our study, was printed on polyamide-based taffeta label fabric by an inkjet printing method. The sensitivity of the printed humidity sensor has been tested under different humidity levels inside a humidity chamber. Then, the sensor has been integrated into a face mask in order to evaluate the respiration monitoring of a user who wears the face mask in a real environment. The sensing capability of the wearable sensor and its response against respiration monitoring was evaluated under various breathing conditions such as fast and deep breathing, differentiating nose and mouth breathing. Owing to its flexible structure and printability onto textile, the wearable printed humidity sensor has the potential to be used for healthcare applications particularly for capturing user biomedical data.","PeriodicalId":176225,"journal":{"name":"2021 IEEE 3rd Eurasia Conference on IOT, Communication and Engineering (ECICE)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130705759","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 : 2021-10-29DOI: 10.1109/ECICE52819.2021.9645620
Shigang Wang, Heng Liu
Due to the design of intravenous imaging instruments and the rapid development of venipuncture robots, it is of great significe to study the high-quality venous image processing method. In this paper, a series of preprocessing of the venous image is carried out, and the development of venous image processing is briefly introduced. The process of vein image processing is mainly divided into three steps. The first step is to use the improved Otsu method for binarization. The second step is to use the selective median filter algorithm to filter. The third step is to refine the image with a fast parallel thinning algorithm. Experimental results show that the vein image processing effect is better.
{"title":"Study of the Preprocessing of Venous Images","authors":"Shigang Wang, Heng Liu","doi":"10.1109/ECICE52819.2021.9645620","DOIUrl":"https://doi.org/10.1109/ECICE52819.2021.9645620","url":null,"abstract":"Due to the design of intravenous imaging instruments and the rapid development of venipuncture robots, it is of great significe to study the high-quality venous image processing method. In this paper, a series of preprocessing of the venous image is carried out, and the development of venous image processing is briefly introduced. The process of vein image processing is mainly divided into three steps. The first step is to use the improved Otsu method for binarization. The second step is to use the selective median filter algorithm to filter. The third step is to refine the image with a fast parallel thinning algorithm. Experimental results show that the vein image processing effect is better.","PeriodicalId":176225,"journal":{"name":"2021 IEEE 3rd Eurasia Conference on IOT, Communication and Engineering (ECICE)","volume":"114 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115806654","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 : 2021-10-29DOI: 10.1109/ECICE52819.2021.9645618
W. Lai, Chang-chun Zhang
This article investigates the quadrature voltage-controlled oscillator (QVCO) by using the loop closed-ring inductor and merging the excellent efficiency of class-C oscillator to the complementary PMOS-NMOS topology. Designed from TSMC 0.18 μm 1P6M CMOS processing, the presented folded-cascode mixer exhibits a high conversion gain, a maximum input P1dB of -12 to -16.7 dBm, IIP3 of -4.5 to -7.2 dBm, and LO to RF isolation of about 33.8 dB at VDD=1.5 V, respectively. The proposed QVCO works during 6.69 and 7 GHz at overall power dissipation is 7.59 mW. Experimental of phase noise and evaluated figure of merit (FOM) of the promoted 6.69 GHz QVCO are -113.56 dBc / Hz at 1 MHz frequency offset and -181.2 dBc/ Hz, respectively.
{"title":"Class-C Quadrature VCO with Ring-inductor Coupling and Folded-Cascode Mixer Design","authors":"W. Lai, Chang-chun Zhang","doi":"10.1109/ECICE52819.2021.9645618","DOIUrl":"https://doi.org/10.1109/ECICE52819.2021.9645618","url":null,"abstract":"This article investigates the quadrature voltage-controlled oscillator (QVCO) by using the loop closed-ring inductor and merging the excellent efficiency of class-C oscillator to the complementary PMOS-NMOS topology. Designed from TSMC 0.18 μm 1P6M CMOS processing, the presented folded-cascode mixer exhibits a high conversion gain, a maximum input P1dB of -12 to -16.7 dBm, IIP3 of -4.5 to -7.2 dBm, and LO to RF isolation of about 33.8 dB at VDD=1.5 V, respectively. The proposed QVCO works during 6.69 and 7 GHz at overall power dissipation is 7.59 mW. Experimental of phase noise and evaluated figure of merit (FOM) of the promoted 6.69 GHz QVCO are -113.56 dBc / Hz at 1 MHz frequency offset and -181.2 dBc/ Hz, respectively.","PeriodicalId":176225,"journal":{"name":"2021 IEEE 3rd Eurasia Conference on IOT, Communication and Engineering (ECICE)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132768257","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 : 2021-10-29DOI: 10.1109/ECICE52819.2021.9645655
Deqi Wang, Yonghong Zou
According to the data from the seventh census, the proportion of the elderly population and the total dependency coefficient in China have increased significantly compared with that of the sixth census. The fertility situation is grim. The desire to procreate is the premise of procreation. The research on the influence of unmarried women of childbearing age on fertility intention is helpful to predict the change of fertility behavior and fertility trend. The paper applies the Bayesian network model to explore the influencing process of unmarried women's fertility intention and form the influence paths. Objective and social factors are considered as input variables, and fertility intention is taken as output variables in the network. Based on the data obtained from the National Social Science Fund project survey, the causal relationship and influence path between input variables and fertility intention are established. Social factors are considered to be the fertility tradition of unmarried women's environment and the attitude of people around them towards fertility intention. Therefore, this may be beyond the framework of cost-utility analysis. It is concluded that social factors will have an impact on unmarried fertility intention, and there is a complex relationship among them. The marriage intention affects the fertility intention, and it is affected by the personal income, which has a direct impact on the fertility intention. Besides, it is found that unmarried women's age, household registration type, educational background, and current residence had little influence on their fertility intention. It is noteworthy that this is the first attempt to choose the Bayesian network model to study fertility intention. The path between realistic factors and subjective perception of fertility desire needs further research.
{"title":"Influence Paths of Fertility Intention of Unmarried Women of Childbearing Age Based on Bayesian Network Model","authors":"Deqi Wang, Yonghong Zou","doi":"10.1109/ECICE52819.2021.9645655","DOIUrl":"https://doi.org/10.1109/ECICE52819.2021.9645655","url":null,"abstract":"According to the data from the seventh census, the proportion of the elderly population and the total dependency coefficient in China have increased significantly compared with that of the sixth census. The fertility situation is grim. The desire to procreate is the premise of procreation. The research on the influence of unmarried women of childbearing age on fertility intention is helpful to predict the change of fertility behavior and fertility trend. The paper applies the Bayesian network model to explore the influencing process of unmarried women's fertility intention and form the influence paths. Objective and social factors are considered as input variables, and fertility intention is taken as output variables in the network. Based on the data obtained from the National Social Science Fund project survey, the causal relationship and influence path between input variables and fertility intention are established. Social factors are considered to be the fertility tradition of unmarried women's environment and the attitude of people around them towards fertility intention. Therefore, this may be beyond the framework of cost-utility analysis. It is concluded that social factors will have an impact on unmarried fertility intention, and there is a complex relationship among them. The marriage intention affects the fertility intention, and it is affected by the personal income, which has a direct impact on the fertility intention. Besides, it is found that unmarried women's age, household registration type, educational background, and current residence had little influence on their fertility intention. It is noteworthy that this is the first attempt to choose the Bayesian network model to study fertility intention. The path between realistic factors and subjective perception of fertility desire needs further research.","PeriodicalId":176225,"journal":{"name":"2021 IEEE 3rd Eurasia Conference on IOT, Communication and Engineering (ECICE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133538254","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 : 2021-10-29DOI: 10.1109/ECICE52819.2021.9645734
S. Vera, Sixto Prado
The transplanting of seedlings is a fundamental task in industrial nurseries, and it is applied fundamentally in the process of quality control of the seedlings. Seedling quality control requires experienced operators to more accurately determine the quality of each seedling without the specialized human resources and affecting productivity. In this work, the design, simulation, and implementation of an electric multi-gripper system (three grippers) for artichoke seedlings transplantation is presented. A Cartesian robot is coupled as its end effector. The functional needs are identified and the conceptual, configuration and detail design is carried out for the mechanical and electronic subsystems. Also, an intelligent control strategy is developed to control the movements using optimal control and to communicate with a Cartesian robot in a master-slave framework. After extensive tests, the gripper performance is analyzed and results showed an improvement over existing grippers for transplanting. The results were a 100 % in the transplanting success rate of grasping and releasing seedlings in the tray cavities and only 2.94 % in the transplanting damage rate (mostly in leaves).
{"title":"Design and implementation of a Robotic Multigripper System for Transplanting Artichoke Seedlings in Multi-Cell Trays","authors":"S. Vera, Sixto Prado","doi":"10.1109/ECICE52819.2021.9645734","DOIUrl":"https://doi.org/10.1109/ECICE52819.2021.9645734","url":null,"abstract":"The transplanting of seedlings is a fundamental task in industrial nurseries, and it is applied fundamentally in the process of quality control of the seedlings. Seedling quality control requires experienced operators to more accurately determine the quality of each seedling without the specialized human resources and affecting productivity. In this work, the design, simulation, and implementation of an electric multi-gripper system (three grippers) for artichoke seedlings transplantation is presented. A Cartesian robot is coupled as its end effector. The functional needs are identified and the conceptual, configuration and detail design is carried out for the mechanical and electronic subsystems. Also, an intelligent control strategy is developed to control the movements using optimal control and to communicate with a Cartesian robot in a master-slave framework. After extensive tests, the gripper performance is analyzed and results showed an improvement over existing grippers for transplanting. The results were a 100 % in the transplanting success rate of grasping and releasing seedlings in the tray cavities and only 2.94 % in the transplanting damage rate (mostly in leaves).","PeriodicalId":176225,"journal":{"name":"2021 IEEE 3rd Eurasia Conference on IOT, Communication and Engineering (ECICE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130541731","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 : 2021-10-29DOI: 10.1109/ECICE52819.2021.9645676
P. L. Otoya, S. P. Gardini
In this work, the development of a machine vision system based on RGB-D image analysis for artichoke seedling grading is described as well as its integration into a robot with the capability to handle seedlings, moving them from an unclassified plug tray to a classified one. First, the seedling RGB-D image acquisition procedure is implemented. Second, the leaf area estimation algorithm is developed, which comprises an RGB-D image segmentation algorithm and the execution of a triangulation algorithm with the points inside each region defined by the segmentation as input. Then, this area is used to assess a seedling’s quality. Third, the performance and the working conditions of the machine vision system are analyzed. Fourth, the developed system is integrated into a robotic platform that has the capability of handling and moving a seedling according to the results of the machine vision system. Finally, the results are discussed and several ways to improve the system are put forward.
{"title":"A Machine Vision System based on RGB-D Image Analysis for the Artichoke Seedling Grading Automation According to Leaf Area","authors":"P. L. Otoya, S. P. Gardini","doi":"10.1109/ECICE52819.2021.9645676","DOIUrl":"https://doi.org/10.1109/ECICE52819.2021.9645676","url":null,"abstract":"In this work, the development of a machine vision system based on RGB-D image analysis for artichoke seedling grading is described as well as its integration into a robot with the capability to handle seedlings, moving them from an unclassified plug tray to a classified one. First, the seedling RGB-D image acquisition procedure is implemented. Second, the leaf area estimation algorithm is developed, which comprises an RGB-D image segmentation algorithm and the execution of a triangulation algorithm with the points inside each region defined by the segmentation as input. Then, this area is used to assess a seedling’s quality. Third, the performance and the working conditions of the machine vision system are analyzed. Fourth, the developed system is integrated into a robotic platform that has the capability of handling and moving a seedling according to the results of the machine vision system. Finally, the results are discussed and several ways to improve the system are put forward.","PeriodicalId":176225,"journal":{"name":"2021 IEEE 3rd Eurasia Conference on IOT, Communication and Engineering (ECICE)","volume":"190 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131668852","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 : 2021-10-29DOI: 10.1109/ECICE52819.2021.9645665
C. Masemola, Ndhivuwo Prince Shumbula, S. Gqoba, Zikhona Nobuntu Tetana, N. Moloto, E. Linganiso
The synthesis of NGQDs was carried out via a microwave-assisted hydrothermal method where citric acid and urea were used as carbon and nitrogen sources, respectively. Uniformly distributed and spherical NGQDs were achieved after a 4 minutes reaction time and these dots were further loaded onto PANI/PAN to produce NGQDs/PANI/PAN composite via in-situ polymerization and electrospinning. Optimized electrospun composite fibers were characterized and later used for alcohol vapor sensing.
{"title":"Electrospun NGQDs/PANI/PAN Composite Fibers for Room Temperature Alcohol Sensing","authors":"C. Masemola, Ndhivuwo Prince Shumbula, S. Gqoba, Zikhona Nobuntu Tetana, N. Moloto, E. Linganiso","doi":"10.1109/ECICE52819.2021.9645665","DOIUrl":"https://doi.org/10.1109/ECICE52819.2021.9645665","url":null,"abstract":"The synthesis of NGQDs was carried out via a microwave-assisted hydrothermal method where citric acid and urea were used as carbon and nitrogen sources, respectively. Uniformly distributed and spherical NGQDs were achieved after a 4 minutes reaction time and these dots were further loaded onto PANI/PAN to produce NGQDs/PANI/PAN composite via in-situ polymerization and electrospinning. Optimized electrospun composite fibers were characterized and later used for alcohol vapor sensing.","PeriodicalId":176225,"journal":{"name":"2021 IEEE 3rd Eurasia Conference on IOT, Communication and Engineering (ECICE)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129878579","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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