Watermarking is a technique used to assert ownership over an image, and can be categorized into visible and invisible forms based on the detectability of the watermark. Visible watermarking is more user-friendly and intuitive than invisible methods since it allows individuals to identify image ownership with their own eyes rather than relying on machine-based watermark decoders. To enhance the visual quality of watermarked images and ensure the original images can be fully recovered after visible watermark authentication, a visible watermark removal approach using deep learning-based inpainting is proposed in this paper. Experimental results demonstrate that the watermarked images carrying the visible watermark and auxiliary information achieve peak signal-to-noise ratios (PSNRs) ranging from 41.89 dB to 43.17 dB and structural similarity indices (SSIMs) up to 0.97 to 0.98. Furthermore, our hybrid recovery operations enable the complete restoration of the original images, making them easily readable.
{"title":"Visible Watermark Removal with Deep Learning Technology","authors":"Chia-Chen Lin, Pei-Yu Wang, Yan-Heng Lin, Hsuan-Chao Huang, Morteza Saberikamposhti","doi":"10.1109/is3c57901.2023.00057","DOIUrl":"https://doi.org/10.1109/is3c57901.2023.00057","url":null,"abstract":"Watermarking is a technique used to assert ownership over an image, and can be categorized into visible and invisible forms based on the detectability of the watermark. Visible watermarking is more user-friendly and intuitive than invisible methods since it allows individuals to identify image ownership with their own eyes rather than relying on machine-based watermark decoders. To enhance the visual quality of watermarked images and ensure the original images can be fully recovered after visible watermark authentication, a visible watermark removal approach using deep learning-based inpainting is proposed in this paper. Experimental results demonstrate that the watermarked images carrying the visible watermark and auxiliary information achieve peak signal-to-noise ratios (PSNRs) ranging from 41.89 dB to 43.17 dB and structural similarity indices (SSIMs) up to 0.97 to 0.98. Furthermore, our hybrid recovery operations enable the complete restoration of the original images, making them easily readable.","PeriodicalId":142483,"journal":{"name":"2023 Sixth International Symposium on Computer, Consumer and Control (IS3C)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115733050","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}
Occupational accidents or injuries that result in prolonged immobility of the upper limbs can cause inconvenience in daily life. In addition to manual rehabilitation, exoskeleton systems can also be used to help restore motor function and correct related pains. This study proposed an upper limb exoskeleton system that utilizes surface electromyography (sEMG) signals generated by human muscles as the basis for controlling the exoskeleton. The use of the most direct signal from the wearer’s body allows for more accurate and intuitive control of the exoskeleton. The research primarily focuses on changes in the biceps and deltoid muscles and uses MATLAB to preprocess the signals, including filtering, differentiation, and calculating the root mean square (RMS) value. The support vector machine (SVM) classifier is then used to label and effectively distinguish movements. After experimentation, this method achieves an accuracy of approximately 82%, and it is found that when the system accurately identifies movements, it can assist the wearer in performing rehabilitation-related movements more effectively, improving muscle strength recovery speed and efficiency.
{"title":"Development of an Upper Limb Exoskeleton System with Integrated Electromyography Signals","authors":"Meng-Hua Yen, Lan-Hsuan Yao, Yen-Chin Hsu, Guo-Shing Huang, Chi-Chun Chen","doi":"10.1109/IS3C57901.2023.00072","DOIUrl":"https://doi.org/10.1109/IS3C57901.2023.00072","url":null,"abstract":"Occupational accidents or injuries that result in prolonged immobility of the upper limbs can cause inconvenience in daily life. In addition to manual rehabilitation, exoskeleton systems can also be used to help restore motor function and correct related pains. This study proposed an upper limb exoskeleton system that utilizes surface electromyography (sEMG) signals generated by human muscles as the basis for controlling the exoskeleton. The use of the most direct signal from the wearer’s body allows for more accurate and intuitive control of the exoskeleton. The research primarily focuses on changes in the biceps and deltoid muscles and uses MATLAB to preprocess the signals, including filtering, differentiation, and calculating the root mean square (RMS) value. The support vector machine (SVM) classifier is then used to label and effectively distinguish movements. After experimentation, this method achieves an accuracy of approximately 82%, and it is found that when the system accurately identifies movements, it can assist the wearer in performing rehabilitation-related movements more effectively, improving muscle strength recovery speed and efficiency.","PeriodicalId":142483,"journal":{"name":"2023 Sixth International Symposium on Computer, Consumer and Control (IS3C)","volume":"288 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116580201","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 : 2023-06-01DOI: 10.1109/IS3C57901.2023.00012
Ying-Chang Li, Meng-Hua Yen, Meng-Chyi Wu, K. Huang, C. Tsai
The attainment of Net Zero Emissions (NZE) by 2050 has become a globally acknowledged goal, and solar photovoltaic (PV) power generation stands out as one of the most promising approaches towards achieving the net zero CO2 emissions objective. In this treatise, we present the fabrication and characterization of CuInS2 thin-film solar cells, wherein the composition and structure of CuInS2 layers were prepared through the process of sulfurization of Cu-In precursors. Another research endeavor was dedicated to examining the correlation between cell performance and CuInS2 grain size, which is directly determined by the precursor Cu/In ratio. Our findings reveal that augmenting the precursor Cu/In ratio from 0.75 to 0.82 produced a surge in current density, escalating from 3.39 mA/cm$^{2}$ to a value surpassing 6 mA/cm$^{2}$. Furthermore, we obtained numerous measured parameters that evinced a higher precursor Cu/In ratio to possess the potential to enhance the efficiency of the solar cell. These findings hold immense significance as they suggest the viability of increased efficiency in solar cell performance.
{"title":"Influence of Cu/In loading ratio in grain size of the CuInS2 films for CuInS2-based solar cells","authors":"Ying-Chang Li, Meng-Hua Yen, Meng-Chyi Wu, K. Huang, C. Tsai","doi":"10.1109/IS3C57901.2023.00012","DOIUrl":"https://doi.org/10.1109/IS3C57901.2023.00012","url":null,"abstract":"The attainment of Net Zero Emissions (NZE) by 2050 has become a globally acknowledged goal, and solar photovoltaic (PV) power generation stands out as one of the most promising approaches towards achieving the net zero CO2 emissions objective. In this treatise, we present the fabrication and characterization of CuInS2 thin-film solar cells, wherein the composition and structure of CuInS2 layers were prepared through the process of sulfurization of Cu-In precursors. Another research endeavor was dedicated to examining the correlation between cell performance and CuInS2 grain size, which is directly determined by the precursor Cu/In ratio. Our findings reveal that augmenting the precursor Cu/In ratio from 0.75 to 0.82 produced a surge in current density, escalating from 3.39 mA/cm$^{2}$ to a value surpassing 6 mA/cm$^{2}$. Furthermore, we obtained numerous measured parameters that evinced a higher precursor Cu/In ratio to possess the potential to enhance the efficiency of the solar cell. These findings hold immense significance as they suggest the viability of increased efficiency in solar cell performance.","PeriodicalId":142483,"journal":{"name":"2023 Sixth International Symposium on Computer, Consumer and Control (IS3C)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129051660","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 : 2023-06-01DOI: 10.1109/IS3C57901.2023.00052
Jun’Nosuke Takarabe, Irawati Nurmala Sari, Weiwei Du
Immersive experience exhibits such as augmented reality (AR) are a way to enjoy museums and art galleries because this way not only may update information easily but also does not require physical existence. However, 3-dimension (3D) images of AR are difficult to apply with one image as depth information either is unknown, or is cost and time consuming. This paper designs a depth map estimation method from single-view image by using smartphone camera to generate a 3D image in AR. Some functions are added into AR Depth Lab [7] in a personal computer (PC). Then, the improve AR Depth Lab [7] is installed into the smartphone. The depth map can be obtained by using patch-based depth estimation [8] and saved into the smartphone. The appropriate parameters of the proposal such as patch size, the cropped image size and the appropriate image models are set by experiments.
{"title":"Depth Map Estimation of Single-View Image using Smartphone Camera for a 3-Dimension Image Generation in Augmented Reality","authors":"Jun’Nosuke Takarabe, Irawati Nurmala Sari, Weiwei Du","doi":"10.1109/IS3C57901.2023.00052","DOIUrl":"https://doi.org/10.1109/IS3C57901.2023.00052","url":null,"abstract":"Immersive experience exhibits such as augmented reality (AR) are a way to enjoy museums and art galleries because this way not only may update information easily but also does not require physical existence. However, 3-dimension (3D) images of AR are difficult to apply with one image as depth information either is unknown, or is cost and time consuming. This paper designs a depth map estimation method from single-view image by using smartphone camera to generate a 3D image in AR. Some functions are added into AR Depth Lab [7] in a personal computer (PC). Then, the improve AR Depth Lab [7] is installed into the smartphone. The depth map can be obtained by using patch-based depth estimation [8] and saved into the smartphone. The appropriate parameters of the proposal such as patch size, the cropped image size and the appropriate image models are set by experiments.","PeriodicalId":142483,"journal":{"name":"2023 Sixth International Symposium on Computer, Consumer and Control (IS3C)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129308792","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}
Chatbots have emerged as a promising tool in healthcare for improving patient engagement, providing education and support, and delivering interventions for a variety of health conditions. In the field of mHealth (mobile health), chatbots are being increasingly used to support self-management, provide remote monitoring, and offer personalized coaching to patients with chronic conditions. A growing body of research has demonstrated the feasibility, acceptability, and effectiveness of chatbots in mHealth, with many studies reporting positive outcomes such as improved patient adherence, increased physical activity, and reduced hospital readmissions. However, there are also limitations and challenges to the use of chatbots in mHealth, such as concerns around data privacy and security, the need for effective natural language processing and machine learning algorithms, and ensuring that chatbots are designed with the end user in mind. Future research is needed to further explore the potential of chatbots in mHealth, and to develop best practices for their design, implementation, and evaluation.
{"title":"Chatbots: A Game Changer in mHealth","authors":"Md. Naseef-Ur-Rahman Chowdhury, Ahshanul Haque, H.S. Soliman","doi":"10.1109/IS3C57901.2023.00103","DOIUrl":"https://doi.org/10.1109/IS3C57901.2023.00103","url":null,"abstract":"Chatbots have emerged as a promising tool in healthcare for improving patient engagement, providing education and support, and delivering interventions for a variety of health conditions. In the field of mHealth (mobile health), chatbots are being increasingly used to support self-management, provide remote monitoring, and offer personalized coaching to patients with chronic conditions. A growing body of research has demonstrated the feasibility, acceptability, and effectiveness of chatbots in mHealth, with many studies reporting positive outcomes such as improved patient adherence, increased physical activity, and reduced hospital readmissions. However, there are also limitations and challenges to the use of chatbots in mHealth, such as concerns around data privacy and security, the need for effective natural language processing and machine learning algorithms, and ensuring that chatbots are designed with the end user in mind. Future research is needed to further explore the potential of chatbots in mHealth, and to develop best practices for their design, implementation, and evaluation.","PeriodicalId":142483,"journal":{"name":"2023 Sixth International Symposium on Computer, Consumer and Control (IS3C)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130187502","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 : 2023-06-01DOI: 10.1109/IS3C57901.2023.00083
Weihua Chen, J. Chen
The application of UAV (Unmanned Aerial Vehicle) has gradually become a core research theme in environmental detection, and the research of aerial vehicles is most popular with aerial QA (quadrotor aircraft). The reason that causes quadcopter aircraft can obtain a balance between the two vehicles is due to the flight principle and material cost. The quadcopter performs attitude calculations based on the sensors configured on the flight controller. Moreover, it is calculated by a three-axis gyroscope and a three-axis accelerometer to achieve directional monitoring of various data (ex: angular rate, acceleration, etc.) of the quadcopter. The stability of the quadcopter and the data reading of the quadcopter. The stability of the quadcopter and the data reading of the sensor analyzed by the IMU (inertial measurement unit) are presented in this paper. Firstly, the angular velocity and acceleration data are read by the Arduino development board embedded with an MPU6050, and the altitude at which the measurement instrument platform is located through the MS5611 barometric pressure and temperature sensor. Then a brushless DC motor attached to the Arduino control is adopted to 4 PWM (Pulse-width modulation) signals via the output port. In order to the electronic governor for controlling the brushless DC motor (Brushless DC Motor), a ready-made remote control is assigned as the transmitter. By using the BLE protocol the 2.4GHz signal is received from the transmitter through the quadcopter receiver. The 2.4GHz signal is used to determine whether the quadcopter can drive the four brushless DC motors at the same time. Finally, the PID (Proportional Integral Derivative) controller is assessed as a parameter adjustment. The collected PID parameter program will be developed in Simulink software as a simulation platform. The software can be based on the hardware platform Arduino mega 2560 PID control programming and can run the Simulink model on Arduino. The operating Arduino modular can also monitor the Arduino itself, and it can immediately make parameter adjustment actions to determine the flight phenomenon of quadrotor UAV, this item is investigative for the future Industrial industry reduce calculation errors when using sensors and controllers, and remote machine module efficacy.
无人机(UAV, Unmanned Aerial Vehicle)的应用已逐渐成为环境检测领域的核心研究主题，其中以空中四旋翼飞行器(Aerial QA, four - rotor aircraft)的研究最为热门。导致四轴飞行器能够在两种飞行器之间取得平衡的原因是由于飞行原理和材料成本。四轴飞行器根据配置在飞行控制器上的传感器进行姿态计算。通过三轴陀螺仪和三轴加速度计进行计算，实现对四轴飞行器各种数据(如角速度、加速度等)的定向监测。四轴飞行器的稳定性和四轴飞行器的数据读取。本文介绍了四轴飞行器的稳定性以及惯性测量单元(IMU)对传感器的数据读取分析。首先，通过嵌入MPU6050的Arduino开发板读取角速度和加速度数据，通过MS5611气压和温度传感器读取测量仪器平台所在的高度。然后在Arduino控制器上安装无刷直流电动机，通过输出端口接收4个PWM(脉宽调制)信号。为了控制无刷直流电动机(brushless DC motor)的电子调速器，分配了一个现成的遥控器作为发射器。通过使用BLE协议，通过四轴飞行器接收器接收来自发射器的2.4GHz信号。2.4GHz信号用于判断四轴飞行器能否同时驱动4台无刷直流电动机。最后，对PID(比例积分导数)控制器进行参数调整评估。采集到的PID参数程序将在Simulink软件中作为仿真平台进行开发。软件可基于硬件平台Arduino mega 2560进行PID控制编程，并可在Arduino上运行Simulink模型。运行中的Arduino模块还可以对Arduino本身进行监控，它可以立即做出参数调整动作来判断四旋翼无人机的飞行现象，本项目的研究是为了未来工业工业减少使用传感器和控制器时的计算误差，以及远程机器模块的功效。
{"title":"Performance Evaluation of a Quadcopter by an Optimized PID","authors":"Weihua Chen, J. Chen","doi":"10.1109/IS3C57901.2023.00083","DOIUrl":"https://doi.org/10.1109/IS3C57901.2023.00083","url":null,"abstract":"The application of UAV (Unmanned Aerial Vehicle) has gradually become a core research theme in environmental detection, and the research of aerial vehicles is most popular with aerial QA (quadrotor aircraft). The reason that causes quadcopter aircraft can obtain a balance between the two vehicles is due to the flight principle and material cost. The quadcopter performs attitude calculations based on the sensors configured on the flight controller. Moreover, it is calculated by a three-axis gyroscope and a three-axis accelerometer to achieve directional monitoring of various data (ex: angular rate, acceleration, etc.) of the quadcopter. The stability of the quadcopter and the data reading of the quadcopter. The stability of the quadcopter and the data reading of the sensor analyzed by the IMU (inertial measurement unit) are presented in this paper. Firstly, the angular velocity and acceleration data are read by the Arduino development board embedded with an MPU6050, and the altitude at which the measurement instrument platform is located through the MS5611 barometric pressure and temperature sensor. Then a brushless DC motor attached to the Arduino control is adopted to 4 PWM (Pulse-width modulation) signals via the output port. In order to the electronic governor for controlling the brushless DC motor (Brushless DC Motor), a ready-made remote control is assigned as the transmitter. By using the BLE protocol the 2.4GHz signal is received from the transmitter through the quadcopter receiver. The 2.4GHz signal is used to determine whether the quadcopter can drive the four brushless DC motors at the same time. Finally, the PID (Proportional Integral Derivative) controller is assessed as a parameter adjustment. The collected PID parameter program will be developed in Simulink software as a simulation platform. The software can be based on the hardware platform Arduino mega 2560 PID control programming and can run the Simulink model on Arduino. The operating Arduino modular can also monitor the Arduino itself, and it can immediately make parameter adjustment actions to determine the flight phenomenon of quadrotor UAV, this item is investigative for the future Industrial industry reduce calculation errors when using sensors and controllers, and remote machine module efficacy.","PeriodicalId":142483,"journal":{"name":"2023 Sixth International Symposium on Computer, Consumer and Control (IS3C)","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130420016","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}
Nondestructive testing is the most economical method for material inspection used in science and technology industries to evaluate the properties of a material component or system without causing damage. Aside from straightforward sensory inspections, the most popular nondestructive testing methods for welds include liquid penetrant, radiography, magnetic particle, eddy current, and ultrasonic testing. Contaminants and metallurgical flaws can be introduced into the weld via the welding process and technique. A weak weld causes a welding fault, which weakens the joint. It is described as the location in the welding process that is outside the allowable tolerance. In our research, we have applied data augmentation technique to our dataset. Further, we have used Detectron2 which offers various detection and segmentation algorithms to perform instance segmentation to segment out various defects in the images of welds. We used Slicing Aided Hyper Inference to slice and overlap the images and performed large-scale instance segmentation using Mask R-CNN X101–FPN on 44,339 images. The approach results in 0.98 training accuracy of MASK- RCNN and a total training loss of 0.2. The Average Precision is calculated as 0.826.
{"title":"Artificial Intelligence based Vision Inspection for Manufacturing Industries","authors":"Kuo-Hao Tseng, Shao-Wei Chu, Chieh-Ling Huang, Chuin-Mu Wang, Atishay Jain","doi":"10.1109/IS3C57901.2023.00099","DOIUrl":"https://doi.org/10.1109/IS3C57901.2023.00099","url":null,"abstract":"Nondestructive testing is the most economical method for material inspection used in science and technology industries to evaluate the properties of a material component or system without causing damage. Aside from straightforward sensory inspections, the most popular nondestructive testing methods for welds include liquid penetrant, radiography, magnetic particle, eddy current, and ultrasonic testing. Contaminants and metallurgical flaws can be introduced into the weld via the welding process and technique. A weak weld causes a welding fault, which weakens the joint. It is described as the location in the welding process that is outside the allowable tolerance. In our research, we have applied data augmentation technique to our dataset. Further, we have used Detectron2 which offers various detection and segmentation algorithms to perform instance segmentation to segment out various defects in the images of welds. We used Slicing Aided Hyper Inference to slice and overlap the images and performed large-scale instance segmentation using Mask R-CNN X101–FPN on 44,339 images. The approach results in 0.98 training accuracy of MASK- RCNN and a total training loss of 0.2. The Average Precision is calculated as 0.826.","PeriodicalId":142483,"journal":{"name":"2023 Sixth International Symposium on Computer, Consumer and Control (IS3C)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129683012","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 : 2023-06-01DOI: 10.1109/IS3C57901.2023.00032
Yu-Jen Liu, Po-Yu Hou, H. Su
With the integration of the high penetration PV power generation into the electric power system, the feeder voltage is facing various fluctuation problems. In severe condition, the system operation may be impacted due to the voltages violate the limitations that specified in grid codes. As the result, the relevant regulations and technical standards have been emerged; meanwhile, CNS 15382 standard in Taiwan is mainly used to describe the characteristics of utility interface in PV systems. This paper focuses on the investigation of the functionality on PV Inverter autonomous voltage regulation according to CNS 15382 standard. Both simulation analysis and on-site testing are implemented to present the power factor control and active power control mechanisms, required in CNS 15382, for voltage regulations.
{"title":"Simulation and Testing of PV System Characteristics for the Utility Interface by CNS 15382 Standard","authors":"Yu-Jen Liu, Po-Yu Hou, H. Su","doi":"10.1109/IS3C57901.2023.00032","DOIUrl":"https://doi.org/10.1109/IS3C57901.2023.00032","url":null,"abstract":"With the integration of the high penetration PV power generation into the electric power system, the feeder voltage is facing various fluctuation problems. In severe condition, the system operation may be impacted due to the voltages violate the limitations that specified in grid codes. As the result, the relevant regulations and technical standards have been emerged; meanwhile, CNS 15382 standard in Taiwan is mainly used to describe the characteristics of utility interface in PV systems. This paper focuses on the investigation of the functionality on PV Inverter autonomous voltage regulation according to CNS 15382 standard. Both simulation analysis and on-site testing are implemented to present the power factor control and active power control mechanisms, required in CNS 15382, for voltage regulations.","PeriodicalId":142483,"journal":{"name":"2023 Sixth International Symposium on Computer, Consumer and Control (IS3C)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126543928","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 : 2023-06-01DOI: 10.1109/IS3C57901.2023.00050
Yu-Hao Lee, Jian-Feng Chiu, An-Bang Liu, Hsin-Ru Liu, Wei-Min Liu
C. elegans is one of the classic model organisms in neuroscience and biology, with its simple nervous system and transparent body serving as useful research tools. High-resolution imaging techniques allow for a detailed recording and analysis of C. elegans’ behaviors, such as locomotion, turning, probing, and jumping. These behaviors can be correlated with its neuronal activity and gene expression, thereby helping researchers understand the regulatory mechanisms of its behaviors and physiological processes. In this study, we propose an automated tracking system capable of rapidly and accurately collecting motion trajectory data of multiple C. elegans using skeletal extraction and SORT multi-object tracking algorithms. Furthermore, we introduce the use of Approximate Entropy to quantify the regularity and unpredictability of motion features, offering a novel approach for the analysis of C. elegans’ motion trajectories and movement features. This system also provides a convenient and automated tracking tool for related microorganism research fields.
{"title":"An Automated Tracking System for Movement Analysis of C. elegans","authors":"Yu-Hao Lee, Jian-Feng Chiu, An-Bang Liu, Hsin-Ru Liu, Wei-Min Liu","doi":"10.1109/IS3C57901.2023.00050","DOIUrl":"https://doi.org/10.1109/IS3C57901.2023.00050","url":null,"abstract":"C. elegans is one of the classic model organisms in neuroscience and biology, with its simple nervous system and transparent body serving as useful research tools. High-resolution imaging techniques allow for a detailed recording and analysis of C. elegans’ behaviors, such as locomotion, turning, probing, and jumping. These behaviors can be correlated with its neuronal activity and gene expression, thereby helping researchers understand the regulatory mechanisms of its behaviors and physiological processes. In this study, we propose an automated tracking system capable of rapidly and accurately collecting motion trajectory data of multiple C. elegans using skeletal extraction and SORT multi-object tracking algorithms. Furthermore, we introduce the use of Approximate Entropy to quantify the regularity and unpredictability of motion features, offering a novel approach for the analysis of C. elegans’ motion trajectories and movement features. This system also provides a convenient and automated tracking tool for related microorganism research fields.","PeriodicalId":142483,"journal":{"name":"2023 Sixth International Symposium on Computer, Consumer and Control (IS3C)","volume":"146 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128452060","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 : 2023-06-01DOI: 10.1109/IS3C57901.2023.00087
Yi-You Lin, Chen-You Chaing, Hao-Li Liu, M. Tsai
Spectral domain optical coherence tomography (SD-OCT) is an optical imaging technique used in the biomedical field to detect ophthalmic pathology. However, current SD-OCT systems are often expensive and bulky due to the integration of complex electronics in the instruments. To address this limitation, researchers are now focusing on designing portable and convenient SD-OCT systems. The aim of this study is to develop a portable SD-OCT system that utilizes an FPGA-based image processing algorithm to synthesize accurate OCT images. To achieve high portability and accessibility, a self-made FPGA acquisition module is used, and the image sensor’s 2048-pixel line scan rate achieves optimal signal-to-noise ratio at 40K lines per second. The study demonstrates the feasibility of constructing a single B-mode OCT image with over 1000 A-scans by accessing raw data through a pattern generator.
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