Pub Date : 2022-10-28DOI: 10.1109/ECICE55674.2022.10042849
Maciej Szymkowski, Krzysztof Trusiak, K. Saeed
The widespread of Internet technologies highlights one important issue. The problem is related to security and safety of our data. Traditional logins and passwords are not efficient enough and cannot guarantee expected security level. Motivated by that we present an approach to utilize haptics device (stimuli generator) within biometrics-based security procedure. The combination of these elements is based on generation of divergent stimuli and observation of the human reaction that is measured with different liveliness parameters as heart rate, emotions from the face (valence and arousal) as well as hand movements. Right now, our analysis is rather theoretical as we are still in the process of data collection. Finally, we outline further steps in the research as well as recent conclusions.
{"title":"Haptics-based Biometrics Identity Recognition System","authors":"Maciej Szymkowski, Krzysztof Trusiak, K. Saeed","doi":"10.1109/ECICE55674.2022.10042849","DOIUrl":"https://doi.org/10.1109/ECICE55674.2022.10042849","url":null,"abstract":"The widespread of Internet technologies highlights one important issue. The problem is related to security and safety of our data. Traditional logins and passwords are not efficient enough and cannot guarantee expected security level. Motivated by that we present an approach to utilize haptics device (stimuli generator) within biometrics-based security procedure. The combination of these elements is based on generation of divergent stimuli and observation of the human reaction that is measured with different liveliness parameters as heart rate, emotions from the face (valence and arousal) as well as hand movements. Right now, our analysis is rather theoretical as we are still in the process of data collection. Finally, we outline further steps in the research as well as recent conclusions.","PeriodicalId":282635,"journal":{"name":"2022 IEEE 4th Eurasia Conference on IOT, Communication and Engineering (ECICE)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126757515","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 : 2022-10-28DOI: 10.1109/ECICE55674.2022.10042879
Peiyu Zhao, Xunlian Si, Zhonghui Dong
The carrying capacity of water resources and the environment has become a restrictive factor in economic development. It is also of great significance to Xi’an City, which is rapidly developing and lacking water. Based on the carrying capacity of water resources and environment, we construct an evaluation index system in four aspects: water resources, water environment, society, and economy. The entropy weight method is used to objectively give weights along with the TOPSIS method and the fuzzy comprehensive evaluation method to evaluate the method for the period from 2006 to 2020. The carrying capacity of water resources and the environment in Xi’an City, and its restrictive factors are explored with the obstacle degree model. In general, from 2006 to 2020, the carrying capacity of water resources and the environment in Xi’an showed a fluctuating upward trend. From the perspective of each subsystem, the comprehensive score of each subsystem showed an upward trend. From the perspective of obstacles, the water resources in Xi’an were restricted. The obstacles to environmental carrying capacity mainly came from water resources and water environment subsystems.
{"title":"Fuzzy Comprehensive Evaluation and Obstacle Factors of Water Resources on TOPSIS for Environment Carrying Capacity in Xi’an","authors":"Peiyu Zhao, Xunlian Si, Zhonghui Dong","doi":"10.1109/ECICE55674.2022.10042879","DOIUrl":"https://doi.org/10.1109/ECICE55674.2022.10042879","url":null,"abstract":"The carrying capacity of water resources and the environment has become a restrictive factor in economic development. It is also of great significance to Xi’an City, which is rapidly developing and lacking water. Based on the carrying capacity of water resources and environment, we construct an evaluation index system in four aspects: water resources, water environment, society, and economy. The entropy weight method is used to objectively give weights along with the TOPSIS method and the fuzzy comprehensive evaluation method to evaluate the method for the period from 2006 to 2020. The carrying capacity of water resources and the environment in Xi’an City, and its restrictive factors are explored with the obstacle degree model. In general, from 2006 to 2020, the carrying capacity of water resources and the environment in Xi’an showed a fluctuating upward trend. From the perspective of each subsystem, the comprehensive score of each subsystem showed an upward trend. From the perspective of obstacles, the water resources in Xi’an were restricted. The obstacles to environmental carrying capacity mainly came from water resources and water environment subsystems.","PeriodicalId":282635,"journal":{"name":"2022 IEEE 4th Eurasia Conference on IOT, Communication and Engineering (ECICE)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116806582","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 automatic judgment of the object’s angle can enhance the work efficiency of mechanical loading and unloading, which is necessary for the workflow of non-fixed placement. Therefore, we develop a method for judging object angles that can be imported into various scenarios. First of all, the model of each tool is established. Before the identification process, the proposed system improves the accuracy by adjusting the brightness and contrast. Then, the position and angle of the object are judged to command the robotic arm for gripping. In addition, the best gripping point is found according to the boundary shape of the object to enhance the stability of the moving process so that the workpiece does not fall during the process. The object’s coordinates, angle, and clamping position are determined after the images are captured through the camera to improve the efficiency of the handling process. This design can be implemented in various loading and unloading processes.
{"title":"Develop an Intelligent Robotic Arm Grasp and Control System Capable of Determining the Angle of Objects","authors":"Nian-Ze Hu, Qiuping Lin, Ruo-Wei Wu, You-Xing Zeng, Bo-An Lin, Shang-Wei Liu, Kai-Hsun Hsu, Jeng-Dao Lee, Ying-Hsiu Hung, Chun-Min Tsai","doi":"10.1109/ECICE55674.2022.10042951","DOIUrl":"https://doi.org/10.1109/ECICE55674.2022.10042951","url":null,"abstract":"The automatic judgment of the object’s angle can enhance the work efficiency of mechanical loading and unloading, which is necessary for the workflow of non-fixed placement. Therefore, we develop a method for judging object angles that can be imported into various scenarios. First of all, the model of each tool is established. Before the identification process, the proposed system improves the accuracy by adjusting the brightness and contrast. Then, the position and angle of the object are judged to command the robotic arm for gripping. In addition, the best gripping point is found according to the boundary shape of the object to enhance the stability of the moving process so that the workpiece does not fall during the process. The object’s coordinates, angle, and clamping position are determined after the images are captured through the camera to improve the efficiency of the handling process. This design can be implemented in various loading and unloading processes.","PeriodicalId":282635,"journal":{"name":"2022 IEEE 4th Eurasia Conference on IOT, Communication and Engineering (ECICE)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126235896","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 : 2022-10-28DOI: 10.1109/ECICE55674.2022.10042952
J. Cui, Qili Sun, Junmin Zhang
Nowadays, The SF6 circuit breaker is an indispensable critical protective device in the UHV power transmission network. In order to study the arc characteristics more accurately, a nozzle arc model is established based on mesoscopic lattice Boltzmann method. Based on this model, the arc process of SF6 circuit breaker is simulated. This paper analyzes the temperature change in 50$mu$s before and after zerocrossing current. The high-temperature particles mainly gather at the front end of the static contact, where the risk of thermal breakdown is greater. The distribution of temperature, density, and gas velocity on the arc core shows the cause of this hightemperature region.
{"title":"Simulation Analysis of Current Zero Arc Characteristics in SF6 Circuit-breaker by Lattice Boltzmann Method","authors":"J. Cui, Qili Sun, Junmin Zhang","doi":"10.1109/ECICE55674.2022.10042952","DOIUrl":"https://doi.org/10.1109/ECICE55674.2022.10042952","url":null,"abstract":"Nowadays, The SF6 circuit breaker is an indispensable critical protective device in the UHV power transmission network. In order to study the arc characteristics more accurately, a nozzle arc model is established based on mesoscopic lattice Boltzmann method. Based on this model, the arc process of SF6 circuit breaker is simulated. This paper analyzes the temperature change in 50$mu$s before and after zerocrossing current. The high-temperature particles mainly gather at the front end of the static contact, where the risk of thermal breakdown is greater. The distribution of temperature, density, and gas velocity on the arc core shows the cause of this hightemperature region.","PeriodicalId":282635,"journal":{"name":"2022 IEEE 4th Eurasia Conference on IOT, Communication and Engineering (ECICE)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133171798","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 : 2022-10-28DOI: 10.1109/ECICE55674.2022.10042848
C. Nutsathaporn, S. Chomkokard, W. Wongkokua, N. Jinuntuya, S. Ruengittinun, S. Sasimontonkul
In this project, we develop a device to warn the elderly when they are unsteady and at a risk of falling, based on a low price IMU sensor. From our preliminary study we find that during the sway, the body vibrates violently in all frequencies. This is different from the body at stationary posture, where the vibration is small, or when a person moves in a regular manner where the body vibrates with some definite frequencies. From these results, it is possible to use the mean amplitude of the Fourier spectrum of the body acceleration to distinguish the vibration state of the body, which can be used in the warning system. We then designed the device using the low price MPU6050 sensor to measure the body acceleration. This device will be attached to the body (hip) for collecting the acceleration data. An ESP8266 board is used to collect and control the sensor operation. Another ESP8266 board is used to receive and send the data to a Raspberry Pi unit. All data transmission is performed wirelessly via ESP NOW protocol, which is a low power consumption 2.4GHz wireless communication with a data package of up to 250 bytes at a time with 100-200m transmission range, which cover the living space area of typical wearer. When the mean amplitude of Fourier spectrum is greater than the warning criteria, the Raspberry Pi will send a signal to the warning unit wirelessly through the ESP8266 board. There are 3 types of alarms in warning unit which are sound alarm, light alarm, and LCD display alarm. We have tested our system with many volunteers. The mean amplitude of Fourier spectrum in the steady, walking, and sway condition can be clearly distinguished. In all cases the state of risky from falling can be detected correctly. We are now in the process of maximizing the data sampling and analyzing time to make the falling prediction as fast as possible.
{"title":"Human Fall Prediction and Detection Using Low Price IMU Sensor","authors":"C. Nutsathaporn, S. Chomkokard, W. Wongkokua, N. Jinuntuya, S. Ruengittinun, S. Sasimontonkul","doi":"10.1109/ECICE55674.2022.10042848","DOIUrl":"https://doi.org/10.1109/ECICE55674.2022.10042848","url":null,"abstract":"In this project, we develop a device to warn the elderly when they are unsteady and at a risk of falling, based on a low price IMU sensor. From our preliminary study we find that during the sway, the body vibrates violently in all frequencies. This is different from the body at stationary posture, where the vibration is small, or when a person moves in a regular manner where the body vibrates with some definite frequencies. From these results, it is possible to use the mean amplitude of the Fourier spectrum of the body acceleration to distinguish the vibration state of the body, which can be used in the warning system. We then designed the device using the low price MPU6050 sensor to measure the body acceleration. This device will be attached to the body (hip) for collecting the acceleration data. An ESP8266 board is used to collect and control the sensor operation. Another ESP8266 board is used to receive and send the data to a Raspberry Pi unit. All data transmission is performed wirelessly via ESP NOW protocol, which is a low power consumption 2.4GHz wireless communication with a data package of up to 250 bytes at a time with 100-200m transmission range, which cover the living space area of typical wearer. When the mean amplitude of Fourier spectrum is greater than the warning criteria, the Raspberry Pi will send a signal to the warning unit wirelessly through the ESP8266 board. There are 3 types of alarms in warning unit which are sound alarm, light alarm, and LCD display alarm. We have tested our system with many volunteers. The mean amplitude of Fourier spectrum in the steady, walking, and sway condition can be clearly distinguished. In all cases the state of risky from falling can be detected correctly. We are now in the process of maximizing the data sampling and analyzing time to make the falling prediction as fast as possible.","PeriodicalId":282635,"journal":{"name":"2022 IEEE 4th Eurasia Conference on IOT, Communication and Engineering (ECICE)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128389736","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 : 2022-10-28DOI: 10.1109/ECICE55674.2022.10042840
Qing-wei Shen
In order to improve the efficiency and accuracy of human resource management by big data technology, support vector machines are used to complete job matching. The element sample for the employee indicator is sparsely represented to obtain the matrix. The sample is binary classification by a support vector machine to judge the matching degree of employees to positions. Finally, the random transformation function is introduced to achieve dynamic recommendations in the big data environment. The experimental results show that the algorithm has high job matching accuracy, high dynamic recommendation efficiency, and batch recommendation.
{"title":"Research on Intelligent Matching Model Between Employees and Positions Based on Python Big Data Analysis","authors":"Qing-wei Shen","doi":"10.1109/ECICE55674.2022.10042840","DOIUrl":"https://doi.org/10.1109/ECICE55674.2022.10042840","url":null,"abstract":"In order to improve the efficiency and accuracy of human resource management by big data technology, support vector machines are used to complete job matching. The element sample for the employee indicator is sparsely represented to obtain the matrix. The sample is binary classification by a support vector machine to judge the matching degree of employees to positions. Finally, the random transformation function is introduced to achieve dynamic recommendations in the big data environment. The experimental results show that the algorithm has high job matching accuracy, high dynamic recommendation efficiency, and batch recommendation.","PeriodicalId":282635,"journal":{"name":"2022 IEEE 4th Eurasia Conference on IOT, Communication and Engineering (ECICE)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127744585","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 : 2022-10-28DOI: 10.1109/ECICE55674.2022.10042959
Ning Miao, Manni Hou, Xinye Hong, Gang Wang, Xun Peng, Gang Ren
The emergence of the Internet of Vehicles will transform how various road users interact with one another. The safety of road users, such as cyclists, may be enhanced by the real-time traffic data gathered by the on-road sensors and autonomous vehicles. To communicate with vehicles or pedestrians, cyclists still use physical indications like head movements and hand gestures at the moment rather than taking advantage of the Internet of Vehicles and sensors. We outline research that uses multimodel interaction to improve bike traffic safety. To enhance traffic information awareness and increase bike safety, we deploy user interaction with head-mounted displays and wearable haptic displays for cyclists. We propose the detailed system architecture design and traffic event alerts provided by haptic and augmented reality visual interaction in various traffic scenarios. Initial user feedbacks suggest the positive potential to enhance the cyclists′ safety and further improve directions.
{"title":"Enhancing the Cyclist Traffic Safety by Multimodel Interaction Design with Wearable Haptic Devices and Optical See-Through Head-Mounted Displays","authors":"Ning Miao, Manni Hou, Xinye Hong, Gang Wang, Xun Peng, Gang Ren","doi":"10.1109/ECICE55674.2022.10042959","DOIUrl":"https://doi.org/10.1109/ECICE55674.2022.10042959","url":null,"abstract":"The emergence of the Internet of Vehicles will transform how various road users interact with one another. The safety of road users, such as cyclists, may be enhanced by the real-time traffic data gathered by the on-road sensors and autonomous vehicles. To communicate with vehicles or pedestrians, cyclists still use physical indications like head movements and hand gestures at the moment rather than taking advantage of the Internet of Vehicles and sensors. We outline research that uses multimodel interaction to improve bike traffic safety. To enhance traffic information awareness and increase bike safety, we deploy user interaction with head-mounted displays and wearable haptic displays for cyclists. We propose the detailed system architecture design and traffic event alerts provided by haptic and augmented reality visual interaction in various traffic scenarios. Initial user feedbacks suggest the positive potential to enhance the cyclists′ safety and further improve directions.","PeriodicalId":282635,"journal":{"name":"2022 IEEE 4th Eurasia Conference on IOT, Communication and Engineering (ECICE)","volume":" 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132125069","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 : 2022-10-28DOI: 10.1109/ECICE55674.2022.10042960
Bingdian Yang, Shuo Yan, Jingyi Yao
With the continuous development of the traffic industry, the continuing education of the drivers also urgently needs to be improved under the background of epidemic normalization. In order to improve the manager′s learning status of the online training of employees, we designed a traffic safety education system based on real-time facial recognition. First of all, high-precision face recognition is achieved through a lightweight face recognition network. Head posture is estimated based on the 3D rotation of the face. When the set threshold value is reached, the warning “Please drive carefully” pops up to ensure the learning effect of drivers and help managers avoid the loss and risk of traffic accidents caused by drivers′ weak safety awareness.
{"title":"Research on Intelligent Traffic Safety Education System Based on Facial State Recognition","authors":"Bingdian Yang, Shuo Yan, Jingyi Yao","doi":"10.1109/ECICE55674.2022.10042960","DOIUrl":"https://doi.org/10.1109/ECICE55674.2022.10042960","url":null,"abstract":"With the continuous development of the traffic industry, the continuing education of the drivers also urgently needs to be improved under the background of epidemic normalization. In order to improve the manager′s learning status of the online training of employees, we designed a traffic safety education system based on real-time facial recognition. First of all, high-precision face recognition is achieved through a lightweight face recognition network. Head posture is estimated based on the 3D rotation of the face. When the set threshold value is reached, the warning “Please drive carefully” pops up to ensure the learning effect of drivers and help managers avoid the loss and risk of traffic accidents caused by drivers′ weak safety awareness.","PeriodicalId":282635,"journal":{"name":"2022 IEEE 4th Eurasia Conference on IOT, Communication and Engineering (ECICE)","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134600127","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 : 2022-10-28DOI: 10.1109/ECICE55674.2022.10042813
Haijun Yuan, Haoxin Zhai
The sharing of meteorological message transmission of information in satellite communication was researched. It was found that the meteorological message information collected by satellite communication equipment was 100 characters, while the transmission capacity was 158 characters. The content of the information sent by each meteorological observation station was at most one and a half of meteorological message information. Each observation station received all the information sent by other stations and the relationship expression between the number of stations. Thus, the minimum propagation time was obtained, and the corresponding information transmission aggregation model was established. According to the transmission of the specified station, the rules were found, and the information of other stations received by each station in each round was obtained. The transmission scheme of the meteorological message of the master station was as follows. The first round adopted closedloop sequential transmission, that is $2rightarrow 1,3 rightarrow 2,ldots, 1rightarrow$ n, while from the second round, each round adopted the mode of transmission from the i+2 station to the i station ($i leq n-2$). The mode 1$rightarrow$n-1,2$rightarrow$n was adopted by the first and second stations. Based on the result, a transmission model is established to find out the rule of station information sharing at a certain time. Finally, the number of stations N=9 was used to verify the feasibility of the propagation model.
{"title":"Time Optimization Propagation Model of Meteorological Message Propagation and Information in Satellite Communication","authors":"Haijun Yuan, Haoxin Zhai","doi":"10.1109/ECICE55674.2022.10042813","DOIUrl":"https://doi.org/10.1109/ECICE55674.2022.10042813","url":null,"abstract":"The sharing of meteorological message transmission of information in satellite communication was researched. It was found that the meteorological message information collected by satellite communication equipment was 100 characters, while the transmission capacity was 158 characters. The content of the information sent by each meteorological observation station was at most one and a half of meteorological message information. Each observation station received all the information sent by other stations and the relationship expression between the number of stations. Thus, the minimum propagation time was obtained, and the corresponding information transmission aggregation model was established. According to the transmission of the specified station, the rules were found, and the information of other stations received by each station in each round was obtained. The transmission scheme of the meteorological message of the master station was as follows. The first round adopted closedloop sequential transmission, that is $2rightarrow 1,3 rightarrow 2,ldots, 1rightarrow$ n, while from the second round, each round adopted the mode of transmission from the i+2 station to the i station ($i leq n-2$). The mode 1$rightarrow$n-1,2$rightarrow$n was adopted by the first and second stations. Based on the result, a transmission model is established to find out the rule of station information sharing at a certain time. Finally, the number of stations N=9 was used to verify the feasibility of the propagation model.","PeriodicalId":282635,"journal":{"name":"2022 IEEE 4th Eurasia Conference on IOT, Communication and Engineering (ECICE)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123725776","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 : 2022-10-28DOI: 10.1109/ECICE55674.2022.10042869
Shih-Chia Wang, Bing Xie, Yu-Chun Chieh, Yi-De Lin, Yu-Sheng Yang
Recently, the clog in transportation is expected to get worse because of a new stage pandemic. It is expected that flights will be a tremendously increase in after the resuming. As a result, for improving efficiency of the airport and reducing the loss of delays in cost was bear in the author’s mind. Python is used in which software to indicate program code and calculated the optimized taxiways with Genetic Algorithm (GA) method. The database was created to facilitate calculation and layout of the optimized taxiway. In addition, an operational interface, which is for Air Traffic Control (ATC) to operate intuitively and give cleaver instructions, is made. Through the study can alleviate ATC workload and increase efficiency simultaneously. The data in this paper is based on the Taoyuan International Airport (TPE) of Taiwan for research.
{"title":"Optimization of Taxiway of Aircraft in Taoyuan International Airport (TPE) of Taiwan","authors":"Shih-Chia Wang, Bing Xie, Yu-Chun Chieh, Yi-De Lin, Yu-Sheng Yang","doi":"10.1109/ECICE55674.2022.10042869","DOIUrl":"https://doi.org/10.1109/ECICE55674.2022.10042869","url":null,"abstract":"Recently, the clog in transportation is expected to get worse because of a new stage pandemic. It is expected that flights will be a tremendously increase in after the resuming. As a result, for improving efficiency of the airport and reducing the loss of delays in cost was bear in the author’s mind. Python is used in which software to indicate program code and calculated the optimized taxiways with Genetic Algorithm (GA) method. The database was created to facilitate calculation and layout of the optimized taxiway. In addition, an operational interface, which is for Air Traffic Control (ATC) to operate intuitively and give cleaver instructions, is made. Through the study can alleviate ATC workload and increase efficiency simultaneously. The data in this paper is based on the Taoyuan International Airport (TPE) of Taiwan for research.","PeriodicalId":282635,"journal":{"name":"2022 IEEE 4th Eurasia Conference on IOT, Communication and Engineering (ECICE)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129198737","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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