• Journal of the Institute of Electronics Engineers of Korea SC
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• v.45 no.6
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• pp.82-94
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• 2008

The purpose of web-sensor is to transmit the measured sensor data and the related information to remote user. Since the user exists at remote place, the sensor information must be trustworthy, and the diagnosis for sensors should be easy to handle. To make sure of these issues, IEEE 1451 for smart sensor had been presented in the past. This research proposes the smart web sensor. The proposed smart web sensor is based on IEEE 1451.0, therefore most of the sensor interfaces are able to be used, and could realize the smart sensor by using TEDS information. Also it has the user-friendly web-service by using XML so that the remote user can handle easily the every possible information related to sensor. This research presents reference model for smart web sensor, and to prove how valuable it is, web-service using gas sensor is implemented.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2018.05a
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• pp.247-250
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• 2018

The remote diagnostic system has been developed for enhancing operability of Data Service Platform(DSP) of Korean e-Navigation Project performed by Ministry of Oceans and Fisheries(MOF) since 2016. It plays a critical role to find and handling logical, physical error in early time in order to maximize operability of DSP, which makes DSP to provide seamless service to various ships voyaging in the sea. Therefore, as developing a system to diagnose resource and operation status of DSP immediately in a remote place, and a system to feed it back to operator or to recover it on its own, DSP can have short period of MTTR as well as high chance of providing proper service to ships in voyage.

• Journal of Acupuncture Research
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• v.22 no.4
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• pp.197-204
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• 2005

Objectives : This survey was accomplished to find out how Korean medical doctors take acupuncture prescriptions for knee osteoarthritis in real clinical practice. Methods : The survey questions were developed by the consensus from 4 professors and 10 residents who major in acupuncture & moxibustion for developing clinical trial protocol on individualized acupuncture treatment for knee osteoarthritis. The questionnaires were distributed via e-mail to 3,306 members of Korea Oriental Medical Association from March 15th to March 23rd in 2005.84 members completed answers, and the computerized data were analyzed by ISP statistical program. Results : 1. 68 out of 84 Korean medical doctors used pattern diagnosis. 2. 61 out of 84 Korean medical doctors used both local and remote points, 20 doctors remote points only, and 3 doctors local acupuncture points only. 3. In case of doctors who use remote acupuncture points only, the acupuncture prescription principle was Saam or five element acupuncture (66%), along the meridian pathway (14%), Eight constitutional acupuncture (11%), Taegeuk acupuncture (2%), and miscellaneous (18%). Conclusion : In our e-mail survey, Korean medical doctors who experienced more than 10 year practice answered that they use five element acupuncture or Saam acupuncture according to meridian pathway theory as the most common principle of their acupuncture treatment prescription.

• Journal of Biomedical Engineering Research
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• v.30 no.1
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• pp.66-78
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• 2009

A mobile ultrasound scanner developed for use in point-of-care applications is introduced, which can not only provide ultrasound images but can also measure various bio-signals. The mobile ultrasound scanner is also designed to meet the demanding requirements for point-of-care diagnosis, such as battery-powered operation, portability in terms of size and weigh, and real-time wireless communications capability for remote diagnosis. To meet these requirements, an efficient beamforming method for high resolution imaging with a small number of active elements, a hardware efficient beamformer architecture, and echo processing algorithms with greatly reduced computational complexity have been developed. Experimental results show that the prototype mobile ultrasound scanner is fully functional and satisfies most of the design requirements.

• Journal of Trauma and Injury
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• v.24 no.1
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• pp.52-55
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• 2011

The spleen is the most frequently injured organ following blunt abdominal trauma. However, delayed splenic rupture is rare. As the technical improvement of computed tomography has proceeded, the diagnosis of splenic injury has become easier than before. However, the diagnosis of delayed splenic rupture could be challenging if the trauma is minor and remote. We present a case of delayed splenic rupture in a patient with underlying liver cirrhosis. A 42-year-old male visited our emergency department with pain in the lower left chest following minor blunt trauma. Initial physical exam and abdominal sonography revealed only liver cirrhosis without traumatic injury. On the sixth day after trauma, he complained of abdominal pain and diarrhea after eating snacks. The patient was misdiagnosed as having acute gastroenteritis until he presented with symptoms of shock. Abdominal sonography and computed tomography revealed the splenic rupture. The patient underwent a splenectomy and then underwent a second operation due to postoperative bleeding 20 hours after the first operation. The patient was discharged uneventfully 30 days after trauma. In the present case, the thrombocytopenia and splenomegaly due to liver cirrhosis are suspected of being risk factors for the development of delayed splenic rupture. The physician should keep in mind the possibility of delayed splenic rupture following blunt abdominal or chest trauma.

• Proceedings of the KIEE Conference
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• 1999.07b
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• pp.677-679
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• 1999

This paper introduces a implementation of fault detection for national highway line 3. Fault detection system was installed and operated on national highway line 3, environmental elements caused by abnormal status or faults has often happened. Therefore, the function of fault detection system is to speedy notify fault site, cause as well as scale of fault to manager. Though the fault detection and diagnosis system has been imported in the field of process of water and electric power, it is just beginning step in the field of ITS(Intelligent Transportation Systems). In general, Maintenance system is performed the online/offline process of detection, diagnosis and measure. This paper is studied online detection process, which is realtime remote detection.

• Journal of Advanced Marine Engineering and Technology
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• v.38 no.10
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• pp.1275-1280
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• 2014

In this study, the performance of a real-time micro telescopic monitoring system is evaluated, in which an artificial neural network is adopted for the diagnoses of vibratory bodies, such as solid piping system or machinery. The structural vibration was measured by a non-contact remote sensing method, in which images of a high-speed high-definition camera were used. The structural vibration data that can be obtained by the PIV (particle image velocimetry) technique were used for training the neural network. The structures of the neural network are dynamically changed and their performances are evaluated for the constructed diagnosis system. Optimized structures of the neural network are proposed for real-time diagnosis for the piping system. It was experimentally verified that the performances of the neural network used for real-time monitoring are influenced by the types of the vibration data, such as minimum, maximum and average values of the vibration data. It concludes that the time-mean values are most appropriate for monitoring the piping system.

• Journal of Mechanical Science and Technology
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• v.19 no.8
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• pp.1597-1610
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• 2005

The conventional computerized numerical controller (CNC) of machine tools has been increasingly replaced by a PC-based open architecture CNC (OAC) that is independent of a CNC vendor. The OAC and machine tools with an OAC have led to a convenient environment in which user-defined applications can be efficiently implemented within a CNC. This paper proposes a method of diagnosing the cause of operational faults. The method is based on the status of a programmable logic controller in machine tools with an OAC. An operational fault is defined as a disability that occurs during the normal operation of machine tools. Operational faults constitute more than 70 percent of all faults and are also unpredictable because most of them occur without any warning. To quickly and correctly diagnose the cause of an operational fault, two diagnostic models are proposed: the switching function and the step switching function. The cause of the fault is logically diagnosed through a fault diagnosis system using diagnostic models. A suitable interface environment between a CNC and developed application modules is constructed to implement the diagnostic functions in the CNC domain. The results of the diagnosis were displayed on a CNC monitor for machine operators and transmitted to a remote site through a Web browser. The proposed diagnostic method and its results were useful to unskilled machine operators and reduced the machine downtime.

• The Journal of Korea Robotics Society
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• v.16 no.2
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• pp.172-178
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• 2021

The COVID-19 pandemic has been reshaping the world by accelerating non-contact services and technologies in various domains. Hospitals as a healthcare system lie at the center of the dramatic change because of their fundamental roles: medical diagnosis and treatments. Leading experts in health, science, and technologies have predicted that robotics and artificial intelligence (AI) can drive such a hospital transformation. Accordingly, several government-led projects have been developed and started toward smarter hospitals, where robots and AI replace or support healthcare personnel, particularly in the diagnosis and non-surgical treatment procedures. This article inspects the remaining element of healthcare services, i.e., surgical treatment, focusing on evaluating whether or not currently available laparoscopic surgical robotic systems are sufficiently preparing for the era of post-COVID-19 when contactless is the new normal. Challenges and future directions towards an effective, fully non-contact surgery are identified and summarized, including remote surgery assistance, domain-expansion of robotic surgery, and seamless integration with smart operating rooms, followed by emphasis on robot tranining for surgical staff.

• Prospectives of Industrial Chemistry
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• v.23 no.6
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• pp.3-13
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• 2020

저출산 고령화 사회로의 진입은 대한민국뿐만 아니라 전 세계적으로 많은 사회 문제를 야기하고 있다. 그 중에서 고령 인구 증가로 인한 의료 수요 증가와 이를 뒷받침 할 의료인력 부족은 곧 다가올 사회문제이다. 4차 산업 혁명으로 인해 다양한 사회문제에 대한 혁신적인 해법들이 제시되고 있는데, 본 기고문에서는 다가올 고령화 사회에서 의료인력 부족 등에 의한 해결법으로 원격의료 지원을 위한 인공지능 활용을 다루고자 한다. 병 진단 및 예측을 위한 여러 가지 인공지능 알고리즘은 이미 많이 개발 되어 있으나, 일반적으로 딥러닝에 많이 쓰이는 인공신경망 구조인 합성곱 뉴럴네트워크(convolution neural network)나 기존 퍼셉트론(perceptron) 구조에서 벗어나 확률론적 인공신경망 중에 하나인 베이지안 뉴럴네트워크(Bayesian neural network)를 다루고자 한다. 그중에서 연산효율적이며 뉴로모픽 하드웨어로 구현 가능성이 높고 실제 진단 예측(diagnosis prediction) 문제 해결에 강점을 보이는 알고리즘으로써 naive Bayes classifer를 활용한 연구를 소개하고자 한다.