• Title/Summary/Keyword: Automatic Reading

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Lightweight CNN based Meter Digit Recognition

  • Sharma, Akshay Kumar;Kim, Kyung Ki
    • Journal of Sensor Science and Technology
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    • v.30 no.1
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    • pp.15-19
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    • 2021
  • Image processing is one of the major techniques that are used for computer vision. Nowadays, researchers are using machine learning and deep learning for the aforementioned task. In recent years, digit recognition tasks, i.e., automatic meter recognition approach using electric or water meters, have been studied several times. However, two major issues arise when we talk about previous studies: first, the use of the deep learning technique, which includes a large number of parameters that increase the computational cost and consume more power; and second, recent studies are limited to the detection of digits and not storing or providing detected digits to a database or mobile applications. This paper proposes a system that can detect the digital number of meter readings using a lightweight deep neural network (DNN) for low power consumption and send those digits to an Android mobile application in real-time to store them and make life easy. The proposed lightweight DNN is computationally inexpensive and exhibits accuracy similar to those of conventional DNNs.

Fault-tolerant ZigBee-based Automatic Meter Reading Infrastructure

  • Hwang, Kwang-Il
    • Journal of Information Processing Systems
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    • v.5 no.4
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    • pp.221-228
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    • 2009
  • Due to low cost, low-power, and scalability, ZigBee is considered an efficient wireless AMR infrastructure. However, these characteristics of ZigBee can make the devices more vulnerable to unexpected error environments. In this paper, a fault-tolerant wireless AMR network (FWAMR) is proposed, which is designed to improve the robustness of the conventional ZigBee-based AMR systems by coping well with dynamic error environments. The experimental results demonstrate that the FWAMR is considerably fault-tolerant compared with the conventional ZigBee-based AMR network.

A Study on the Implementation of Wireless AMR Network using Binary CDMA (Binary CDMA 기술을 이용한 무선 원격검침 네트워크 구현방안에 대한 연구)

  • Kwon, Tai-Gil;Cho, Jin-Woong
    • Proceedings of the KAIS Fall Conference
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    • 2010.11a
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    • pp.406-409
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    • 2010
  • 본 논문은 국내원천 기술인 Binary CDMA 기술을 소개하고 AMR(Automatic Meter Reading) 시스템에 Binary CDMA 무선 기술을 어떻게 적용할지를 연구하고자 한다. 주요 연구내용은 Binary CDMA 원격검침 시스템, 무선 원격검침을 구현하기 위한 피코넷 네트워크 구성, 데이터 송수신을 위한 전송 스케줄링을 다루고자 한다. 그리고 원격검침의 데이터는 공공의 성격을 뛰는 아주 중요한 데이터이기 때문에 무선 패킷의 암호화 적용방안에 대해서도 연구하고 하고자 한다.

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Efficacy of Learning Disorder Treatment for Reading or Mathematics Disorders: An Open Study

  • Hyunju Lee;Inhye Song;Woo Young Kim;Hannah Huh;Eun Kyoung Lee;Jaesuk Jung;Cheon Seok Suh;Hanik Yoo
    • Journal of the Korean Academy of Child and Adolescent Psychiatry
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    • v.35 no.2
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    • pp.143-149
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    • 2024
  • Objectives: This study aimed to identify the effectiveness of treatment programs for children with reading (RD) or mathematics disorders (MD). Structured treatment programs were developed to improve phonological awareness and number sense among children and adolescents with RD or MD, respectively, and the effectiveness of the learning disorder treatment programs were evaluated. Methods: We used standardized, objective diagnostic, and evaluation tools not only to recruit participants with RD, MD, or comorbid attention deficit and hyperactivity disorder, but also to assess the effectiveness of the treatments regarding both improved core neurocognitive deficits of RD or MD and academic achievement. Forty children with RD or MD received one-on-one treatments from therapists. Results: In the RD group, treatment effects were observed in all subtests. In the word and paragraph reading tests, the accuracy rates and fluency improved. The results of the phonological working memory test, word-sound correspondence test, and rapid automatic naming tests also improved. In the MD group, the accuracy rate and fluency on the arithmetic test improved. An increase in the accuracy rate in the size and distance comparison tests and a decrease in the error rate in the estimation test were also observed. However, there were no improvements in reaction time in these subtests. Conclusion: Learning disorder treatment programs that focus on improving phonological awareness or number sense in children with RD or MD improved achievement, phonological awareness, and number sense.

A Study on a Geometrical Analysis for the Manual Mode of an Advanced Teleoperator System (지적 원격조작시스템의 수동모드 개선을 위한 기하학적 해석에 관한 연구)

  • Lee, Sun-Yo;Kim, Chang-Dae;Park, Se-Gwon
    • Journal of the Ergonomics Society of Korea
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    • v.7 no.2
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    • pp.31-44
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    • 1988
  • If an error occurs in the automatic mode when the advanced teleoperator system performs a task in hostile environment then the automatic mode changes into the manual mode. The operation by the control program and the operation by a human recover the error in the manual mode. The system resumes the automatic mode and continues the given task. It is necessary to improve the manual mode in order to make the best use of a man-robot system, as a part of the human interface technique. Therefore, the error recovery task is performed by combining the operation by the control program representing autonomy of a robot and the operation by a human representing versatility of a human operator effectively in the view point of human factors engineering. The geometric inverse kinematics is used for the calculation of the robot joint values in the operation by the control program. The singularity operation error and the parameter operation error often occur in this procedure. These two operation errors increase the movement time of the robot and the coordinate reading time, during the error recovery task. A singularity algorithm, parameter algorithm and fuzzy control are studied so as to remove the disadvantages of geometric inverse kinematics. And the geometric straight line motion is studied so as to improve the disadvantages of the operation by a human.

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A Study on the pattern of energy consumption of apartment in winter with Automatic Meter Reading Systems (원격검침시스템을 활용한 공동주택의 동절기 에너지 소비패턴 분석)

  • Shin, Juho;Kim, Hongseok;Lee, Donghwan;Park, Seunghee
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.33 no.3
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    • pp.1225-1234
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    • 2013
  • According to the importance of greenhouse gas emissions, it grows day by day, the goverment is promoting to prepare the specific policy implementation to enhance building energy-saving design standars as the development agenda. In this study, the statistical analysis was performed by Descriptive statistics, Regression analysis, and Hypothesis testing to collect to generate and storage energy usage data in real time to settle parameter setting to affect energy consumption under energy-guzzling apartment not single building. This study is expected to be utilized as the basis for the optimum energy-saving design of the future of the building or facility energy costs rise and the demand for energy-efficient and stable management.

Development of Intelligent AMI Sensing Technique Using ICT (기존 전력량계를 ICT 기반 지능형 AMI 센싱 장치로 변환 연구)

  • Sang-Ok Yoon
    • The Journal of the Korea institute of electronic communication sciences
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    • v.18 no.1
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    • pp.23-28
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    • 2023
  • The installation rate of AMI(: Advanced Metering Infrastructure) capable of automatic electricity measurement is less than 43% nationwide and 10.5% in rural areas, which is very poor. Therefore, for the smart grid, automatic information recording of the watt-hour meter is required. For this purpose, it is necessary to develop a system capable of remote meter reading and use control by improving the existing watt-hour meter. In this paper, in order to enable the AMI function of the existing electricity meter, the remote meter reading and control technology of the existing electricity meter for AMI, the core of the smart grid, was developed using IoT and AI. The main research content was to recognize numbers using Tensorflow and Open-cv to convert it into a power meter sensing device for SG. We confirmed and checked the performance using the protyope system.

Development of Intelligent AMI Sensing Technique Using ICT (기존 전력량계를 ICT 기반 지능형 AMI 센싱 장치로 변환 연구)

  • Lee, Yang-weon;Ok, Youn-sang
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2022.10a
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    • pp.546-549
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    • 2022
  • The installation rate of AMI (advanced metering infrastructure) capable of automatic electricity measurement is less than 43% nationwide and 10.5% in rural areas, which is very poor. Therefore, for the smart grid, automatic information recording of the watt-hour meter is required. For this purpose, it is necessary to develop a system capable of remote meter reading and use control by improving the existing watt-hour meter. In this paper, in order to enable the AMI function of the existing electricity meter, the remote meter reading and control technology of the existing electricity meter for AMI, the core of the smart grid, was developed using IoT and AI. The main research content was to recognize numbers using Tensorflow and Open-cv to convert it into a power meter sensing device for SG. We confirmed and checked the performance using the protyope system.

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A Study on Implementation of Ubiquitous Home Mess-Cleanup Robot (유비쿼터스 홈 메스클린업 로봇의 구현에 관한 연구)

  • Cha Hyun-Koo;Kim Seung-Woo
    • Journal of Institute of Control, Robotics and Systems
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    • v.11 no.12
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    • pp.1011-1019
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    • 2005
  • In this paper, Ubiquitous Home Mess-Cleanup Robot(UHMR), which has a practical function of the automatic mess-cleanup, is developed. The vacuum-cleaner had made the burden of house chore lighten but the operation labour of a vacuum-cleaner had been so severe. Recently, the cleaning robot was producted to perfectly solve the cleaning labour of a house but it also was not successful because it still had a problem of mess-cleaning, which was the clean-up of big trash and the arrangement of newspapers, clothes, etc. The cleaning robot is to just vacuum dust and small trash but has no function to arrange and take away before the automatic vacuum-cleaning. For this reason, the market for the cleaning robot is not yet built up. So, we need a design method and technological algorithm of new automatic machine to solve the problem of mess-cleanup in house. It needs functions of agile automatic navigation, novel manipulation system for mess-cleanup. The automatic navigation system has to be controlled for the full scanning of living room, to recognize the absolute position and orientation of tile self, the precise tracking of the desired path, and to distinguish the mess object to clean-up from obstacle object to just avoid. The manipulate,, which is not needed in the vacuum-cleaning robot, must have the functions, how to distinguish big trash to clean from mess objects to arrange, how to grasp in according to the form of mess objects, how to move to the destination in according to mess objects and arrange them. We use the RFID system to solve the problems in this paper and propose the reading algorithm of RFID tags installed in indoor objects and environments. Then, it should be an intelligent system so that the mess cleaning task can be autonomously performed in a wide variety of situations and environments. It needs to also has the entertainment functions for the good communication between the human and UHMR. Finally, the good performance of the designed UHMR is confirmed through the results of the mess clean-up and arrangement.

A Development of Home Mess-Cleanup Robot

  • Cha, Hyun-Koo;Jang, Kyung-Jun;Im, Chan-Young;Kim, Seung-Woo
    • 제어로봇시스템학회:학술대회논문집
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    • 2005.06a
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    • pp.1612-1616
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    • 2005
  • In this paper, a Home Mess-Cleanup Robot(HMR), which has a practical function of the automatic mess-cleanup, is developed. The vacuum-cleaner had made the burden of house chore lighten but the operation labour of a vacuum-cleaner had been so severe. Recently, the cleaning robot was producted to perfectly solve the cleaning labour of a house but it also was not successful because it still had a problem of mess-cleaning, which was the clean-up of big trash and the arrangement of newspapers, clothes, etc. The cleaning robot is to just vacuum dust and small trash but has no function to arrange and take away before the automatic vacuum-cleaning. For this reason, the market for the cleaning robot is not yet built up. So, we need a design method and technological algorithm of new automatic machine to solve the problem of mess-cleanup in house. It needs functions of agile automatic navigation, novel manipulation system for mess-cleanup. The automatic navigation system has to be controlled for the full scanning of living room, to recognize the absolute position and orientation of the self, the precise tracking of the desired path, and to distinguish the mess object to clean-up from obstacle object to just avoid. The manipulator, which is not needed in the vacuum-cleaning robot, must have the functions, how to distinguish big trash to clean from mess objects to arrange, how to grasp in according to the form of mess objects, how to move to the destination in according to mess objects and arrange them. We use the RFID system to solve the problems in this paper and propose the reading algorithm of RFID tags installed in indoor objects and environments. Then, it should be an intelligent system so that the mess cleaning task can be autonomously performed in a wide variety of situations and environments. It needs to also has the entertainment functions for the good communication between the human and HMR. Finally, the good performance of the designed HMR is confirmed through the results of the mess clean-up and arrangement.

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