• 비파괴검사학회지
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• 제29권2호
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• pp.145-152
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• 2009

국내 원전 가동중검사 기술은 대부분이 선진국에서 도입한 비파괴검사 장비를 진단현장에 적용하는 운영기술로 지금까지 선진 운영 기술의 습득에 중점을 두어, 검사 시스템 하드웨어 및 소프트웨어의 국내 제작 기술은 매우 미흡하였다. 때문에 국산 고유모델의 원전 가동중검사용 진단장치 개발의 필요성이 끊임없이 제기되었다. 본 연구에서는, 원전 배관 자동 초음파검사 시스템의 핵심 기술인 고성능 다채널 초음파 펄서/리시버와 A/D converter 보드, 디지털 제어보드를 개발하고 그 성능을 검증하였다. 검증 실험 결과는 개발된 시스템이 설계 목적에 부합하는 성능을 보이는 것으로 확인되었다.

• 반도체디스플레이기술학회지
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• 제2권4호
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• pp.1-7
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• 2003

In this paper, we design the pattern generator circuits using PLDs(Programmable Logic Devices). The pattern generator is the circuit which generates the test pattern signal for the inspection of logical defects of semiconductor products. The proposed circuits are designed by the PLD design tool(MAX+ II of ALTERA). Also the designed circuits are simulated for the verification of the designed ones. The simulation results have a good performance.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2005년도 심포지엄 논문집 정보 및 제어부문
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• pp.275-277
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• 2005

In a lithium-ion battery which is being used in many portable electronic goods, electrolyte is disaggregated and then the gas is happened when electric charging volt is over the 4.5V. So, the pressure on the safety valve is increased and electrolyte is leaked out in the cell. It leads to the risk of explosion. On the other hand, in the case which the battery is discharged excessively, the negative pole is damaged and the performance of the battery is deteriorated. The protection module of a lithium-ion battery is used for preventing such risk and the inspection system is needed to check the performance of such protection module. In this research, a PC-based auto inspection system is developed for the inspection of a battery protection module using Dallas chipset. In the inspection system, AVRl28 chip is used as a controller and the communication protocol is developed for the data communication between the protection module and the AVR128 chip. And GPIB interface is used for the control of measuring devices. Also, MMI environment is developed using LabView for convenient monitoring by the tester.

• 전력전자학회논문지
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• 제21권1호
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• pp.72-79
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• 2016

Uninterruptible power supplies are extensively used as backup power in various applications such as telecommunication systems, Internet data centers, hospitals, and military technologies. Some of these applications require a considerable number of batteries, and the maintenance of such batteries is critical for the reliability of a system. However, batteries are chemical energy storage devices that deteriorate over time and frequently inspecting their performance and suitability is difficult. A real-time remote battery inspection system that applies electrochemical impedance spectroscopy is proposed and implemented in this study. The proposed system consists of a small inspection circuit and software for control. The former is developed to monitor the impedance variation of the battery and to diagnose its state. The validity and feasibility of the proposed system is proven by experimental results.

• 대한임베디드공학회논문지
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• 제17권2호
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• pp.77-83
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• 2022

In this paper, the two-stage object detection approach is proposed to implement a deep learning-based label inspection system on edge computing environments. Since the label printed on the products during the production process contains important information related to the product, it is significantly to check the label information is correct. The proposed system uses the lightweight deep learning model that able to employ in the low-performance edge computing devices, and the two-stage object detection approach is applied to compensate for the low accuracy relatively. The proposed Two-Stage object detection approach consists of two object detection networks, Label Area Detection Network and Character Detection Network. Label Area Detection Network finds the label area in the product image, and Character Detection Network detects the words in the label area. Using this approach, we can detect characters precise even with a lightweight deep learning models. The SF-YOLO model applied in the proposed system is the YOLO-based lightweight object detection network designed for edge computing devices. This model showed up to 2 times faster processing time and a considerable improvement in accuracy, compared to other YOLO-based lightweight models such as YOLOv3-tiny and YOLOv4-tiny. Also since the amount of computation is low, it can be easily applied in edge computing environments.

• Journal of Radiation Protection and Research
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• 제49권1호
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• pp.29-39
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• 2024

Background: The gamma emission tomography (GET) device has been reported a reliable technique to inspect partial defects within spent nuclear fuel (SNF) of pin-by-pin level. However, the existing GET devices have low accuracy owing to the high attenuation and scatter probability for SNF inspection condition. The purpose of this study is to design and optimize a Yonsei single-photon emission computed tomography version 2 (YSECT.v.2) for fast inspection of SNF in water storage by acquisition of high-quality tomographic images. Materials and Methods: Using Geant4 (Geant4 Collaboration) and DETECT-2000 (Glenn F. Knoll et al.) Monte Carlo simulation, the geometrical structure of the proposed device was determined and its performance was evaluated for the ¹³⁷Cs source in water. In a Geant4-based assessment, proposed device was compared with the International Atomic Energy Agency (IAEA)-authenticated device for the quality of tomographic images obtained for 12 fuel sources in a 14 × 14 Westinghouse-type fuel assembly. Results and Discussion: According to the results, the length, slit width, and septal width of the collimator were determined to be 65, 2.1, and 1.5 mm, respectively, and the material and length of the trapezoidal-shaped scintillator were determined to be gadolinium aluminum gallium garnet and 45 mm, respectively. Based on the results of performance comparison between the YSECT.v.2 and IAEA's device, the proposed device showed 200 times higher performance in gamma-detection sensitivity and similar source discrimination probability. Conclusion: In this study, we optimally designed the GET device for improving the SNF inspection accuracy and evaluated its performance. Our results show that the YSECT.v.2 device could be employed for SNF inspection.

• 전기학회논문지
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• 제67권7호
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• pp.976-980
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• 2018

The traction power system is configured to transmit electricity to the vehicles through mechanical contact between the OCL (Overhead Contact Line) and the pantograph. The system measures the current collection performance of the OCL, or the OCL installation condition is examined through maintenance for commercial operation. Maintenance continues to check the conditions through visual inspection by walking and inspection vehicles. The current collection performance is divided into the percentage of arcing(%), the contact force, and the uplift. The percentage of arcing is composed of a vision based system and used to verify the performance of a new OCL. However, it is not always possible to measure the current collection performance during commercial operation, and maintenance based on human resources can not be replaced. This paper presents the minimum performance condition of video devices in the current collection system of commercial vehicles. In addition, a continuous arcing was measured, and current collection performance was examined on the traction power system at the 250 km/h. It was analyzed with a minimum duration of arc of 1 ms. The frame rate is then shown by comparing the number of frames in the image at the time intervals of the number of the arcing. It is expected that the result of this study can be used for examining the minimum performance of video devices depending on their purpose.

• 한국항공우주학회지
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• 제49권7호
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• pp.565-572
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• 2021

본 연구에서는 국방 분야에서 분리장치로 사용되고 있는 파이로 장치 중 장기간 보관된 폭발볼트의 성능 및 노화에 관한 연구를 수행하였다. 연구를 위해 약 10년간 무기체계에 탑재되어 있던 폭발볼트를 확보하였으며, AIAA Standard 및 MIL-STD를 기반으로 성능 및 수명 평가 절차를 수립하였다. 성능 평가를 위해 먼저 비기능 검사를 수행하여 외적인 변화나 고장이 발생하였는지 확인하였으며, 내부 회로 및 구조에 이상이 없는지 회로검사와 X-ray 검사를 수행하였다. 비기능 검사가 통과된 시료에 대해서 작동 확인을 위한 성능 시험을 실시하였다. 성능 시험을 통해 폭발볼트의 분리 여부 및 분리시간을 측정하였으며, 일부 시료의 경우 잔여 수명 및 연장 가능성을 확인하기 위해 고온저장시험 후 성능 시험을 실시하였다. 마지막으로 시험 결과와 아레니우스 모델을 바탕으로 잔여 수명 및 신뢰도를 예측하였으며, 수명에 따른 신뢰도를 확인하였다.

• Journal of Information Processing Systems
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• 제20권1호
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• pp.116-130
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• 2024

In the Internet-of-Things (IoT) or blockchain-based network systems, secure keys may be stored in individual devices; thus, individual devices should protect data by performing secure operations on the data transmitted and received over networks. Typically, secure functions, such as a physical unclonable function (PUF) and fully homomorphic encryption (FHE), are useful for generating safe keys and distributing data in a network. However, to provide these functions in embedded devices for IoT or blockchain systems, proper inspection is required for designing and implementing embedded system-on-chip (SoC) modules through overhead and performance analysis. In this paper, a virtual platform (SoC VP) was developed that includes a secure key generation module with a PUF and FHE. The SoC VP platform was implemented using SystemC, which enables the execution and verification of various aspects of the secure key generation module at the electronic system level and analyzes the system-level execution time, memory footprint, and performance, such as randomness and uniqueness. We experimentally verified the secure key generation module, and estimated the execution of the PUF key and FHE encryption based on the unit time of each module.

• 인터넷정보학회논문지
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• 제22권6호
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• pp.1-8
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• 2021

With the rapid growth of intelligent devices and communication technologies, 5G network environment has become more heterogeneous and complex in terms of service management and orchestration. 5G architecture requires supportive technologies to handle the existing challenges for improving the Quality of Service (QoS) and the Quality of Experience (QoE) performances. Among many challenges, traffic steering is one of the key elements which requires critically developing an optimal solution for smart guidance, control, and reliable system. Mobile edge computing (MEC), software-defined networking (SDN), network functions virtualization (NFV), and deep learning (DL) play essential roles to complementary develop a flexible computation and extensible flow rules management in this potential aspect. In this proposed system, an accurate flow recommendation, a centralized control, and a reliable distributed connectivity based on the inspection of packet condition are provided. With the system deployment, the packet is classified separately and recommended to request from the optimal destination with matched preferences and conditions. To evaluate the proposed scheme outperformance, a network simulator software was used to conduct and capture the end-to-end QoS performance metrics. SDN flow rules installation was experimented to illustrate the post control function corresponding to DL-based output. The intelligent steering for network communication traffic is cooperatively configured in SDN controller and NFV-orchestrator to lead a variety of beneficial factors for improving massive real-time Internet of Things (IoT) performance.