• 제목/요약/키워드: Troubleshooting

검색결과 103건 처리시간 0.037초

Highly Efficient Flexible Perovskite Solar Cells by Low-temperature ALD Method

  • Kim, Byeong Jo;Kwon, Seung Lee;Jung, Hyun Suk
    • 한국진공학회:학술대회논문집
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    • 한국진공학회 2014년도 제46회 동계 정기학술대회 초록집
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    • pp.469.2-469.2
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    • 2014
  • All-solid-state solar cell based on Chloride doped organometallic halide perovskite, (CH3NH3)PbIxCl3-x, has achieved a highly power conversion efficiency (PCE) to over 15% [1] and further improvements are expected up to 20% [2]. In this way, solar cells using novel light absorbing perovskite material are actively being studied as a next generation solar cells. However, making solution-process require high temperature up to $500^{\circ}C$ to form compact hole blocking layer and sinter the mesoporous oxide scaffold layer. Because of this high temperature process, fabrication of flexible solar cells on plastic substrate is still troubleshooting. In this study, we fabricated highly efficient flexible perovskite solar cells with PCE in excess of 11%. Atomic layer deposition (ALD) is used to deposit dense $TiO_2$ as hole blocking layer on ITO/PEN substrate. The all fabrication process is done at low temperature below $150^{\circ}C$. This work shows that one of the important blueprint for commercial use of perovskite solar cells.

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SDN-Based Enterprise and Campus Networks: A Case of VLAN Management

  • Nguyen, Van-Giang;Kim, Young-Han
    • Journal of Information Processing Systems
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    • 제12권3호
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    • pp.511-524
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    • 2016
  • The Virtual Local Area Network (VLAN) has been used for a long time in campus and enterprise networks as the most popular network virtualization solution. Due to the benefits and advantages achieved by using VLAN, network operators and administrators have been using it for constructing their networks up until now and have even extended it to manage the networking in a cloud computing system. However, their configuration is a complex, tedious, time-consuming, and error-prone process. Since Software Defined Networking (SDN) features the centralized network management and network programmability, it is a promising solution for handling the aforementioned challenges in VLAN management. In this paper, we first introduce a new architecture for campus and enterprise networks by leveraging SDN and OpenFlow. Next, we have designed and implemented an application for easily managing and flexibly troubleshooting the VLANs in this architecture. This application supports both static VLAN and dynamic VLAN configurations. In addition, we discuss the hybrid-mode operation where the packet processing is involved by both the OpenFlow control plane and the traditional control plane. By deploying a real test-bed prototype, we illustrate how our system works and then evaluate the network latency in dynamic VLAN operation.

지능형 대용량 비례유량제어밸브 서보컨트롤러 설계 (Design of Intelligent Servocontroller for Proportional Flow Control Solenoid Valve with Large Capacity)

  • 정규홍
    • 유공압시스템학회논문집
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    • 제8권3호
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    • pp.1-7
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    • 2011
  • As the technologies of electronic device have advanced these days, most of mechanical systems are designed with electronic control unit to take advantage of control parameter adaption to operating conditions and firmware flexibilities as well. On-board diagnosis, which detects the system malfunction and identifies potential source of error with its own diagnostic criteria, and fail-safe that can switch the mode of operation in view of recognized error characteristics enables easy maintenance and troubleshooting as well as system protection. This paper dealt with the development of diagnosis and fail-safe function for proportional flow control valve. All type of errors related to valve control system components are investigated and assigned to a specific hexadecimal codes. Cumulative error detection algorithm is applied in order for the sensitivity and reliability to be appropriate. Embedded simulator which runs simultaneously with system program provides the virtual error simulation environment for expeditious development of error detection algorithm. The diagnosis function was verified both with solenoid valve and embedded simulator test and it will enhance the valve control system monitoring function.

A Study on Trouble Management and Necessity for Preventive Check in PACS

  • Son, Gi-Gyeong;Sung, Dong-Wook;Shin, Jin-Ho;Jeong, Jae-Ho;Kang, Hee-Doo
    • 대한디지털의료영상학회논문지
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    • 제8권1호
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    • pp.39-43
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    • 2006
  • PACS has been run at the Kyung Hee University Medical Center since 2001, and the installation and operation of PACS have contributed to automation and quantification of center's medical environment. In order to classify tile annual number of trouble cases processed by PACS, the authorshave made a classification code system which enabled detailed statistical processes for each section. Such process method has not only shown the management efficiency to trouble management of PACS, but also raised the interests in frequently occurring troubles, and enabled the prediction of troubles that may occur hereafter. Predictable troubles lead to preventive check, and this has direct effects on medical treatment and the hospital administration. The authors intend to arouse the necessity of preventive check of PACS by analyzing trouble management processes for the last 1 year.

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항공기 보조동력장치 입구안내익 구동기어의 품질개선에 관한 연구 (Studies on the improvement of driving gears quality at Inlet Guide Vane of aircraft auxiliary power unit)

  • 박성제;박선욱;서재경
    • 한국항공우주학회지
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    • 제44권6호
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    • pp.512-519
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    • 2016
  • FA-50 항공기 보조동력장치는 추력을 제외한 항공기의 동력을 생성하는 장치로 항공기 감항성 유지를 위해 매우 중요한 요소이다. 또한, 보조동력장치의 입구안내익은 로드압축기로 유입되는 공기 유량을 조절하여 적절한 공기량이 보조동력장치 내부로 공급되도록 유도하는 장치이다. 본 논문에서는 FA-50 항공기 보조동력장치 입구안내익 구동기어에서 발생한 문제점을 바탕으로, 발생원인, 고장탐구결과, 설계개선 내용을 기술하였으며, 개선된 연구에 대해 비행시험검증 결과를 함께 소개한다.

신경회로망을 이용한 큐비클 수배전반의 경보 처리 시스템 개발 연구 - 공동주택 전력설비 중심 - (A study on he Alarm Processing System for Cubicle-type Receiving and Distributing Board using Neural network)

  • 문학룡;류승기;최도혁;홍규장;정찬수
    • 조명전기설비학회논문지
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    • 제12권3호
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    • pp.124-131
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    • 1998
  • 본 논문에서는 건축물의 수배전설비에서 발생하는 경보를 신경 회로망과 고장 진단 지식베이스를 적용하여 감시의 효율을 향상시킬 수 있는 방안을 제시하였다. 제안된 경보 처리시스템은 역전파 알고리즘의 누가 역전파 알고리즘을 이용하여 다중 경보 발생에서 최소 경보요소를 추출하는데 사용하고 추출된 경보는 사전에 정의된 고장진단 지식베이스를 이용하여 셜비 유지보수 정보를 화면에 전개하도록 구성하였다. 제안된 감시기법의 유용 성을 확인하기 위하여 5가지의 가상 시나리오를 통해서 신경 회로망의 적용 가능성을 확인할 수 있었으며, 비전문가라도 설비의 유지관리 업무가 가능하도록 개발되었다.

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DLNA Protocol Inspection Tool for Compatibility Analysis

  • Park, Se-Ho;Park, Yong-Suk;Seo, Jeong-Wook;Choi, Jun-Rim
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제8권6호
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    • pp.2104-2117
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    • 2014
  • The propagation of smart devices and the rapid expansion of wireless mobile networks have increased the need for ubiquitous device connectivity and contents access. DLNA is currently being used as the de facto standard for connectivity of consumer devices in the digital home. The guidelines provided by DLNA are intended to facilitate device and contents discovery, management, sharing and distribution. However, consumer experience with DLNA has been rather poor and usability not up to speed. Different problems and issues in limited compatibility have been reported due to manufacturer customizations. Such compatibility issues are often difficult to identify by average consumers who are not savvy in information communications and multimedia technology. In this paper, the design and implementation of a DLNA protocol inspection tool is presented for compatibility analysis among DLNA certified devices. The tool monitors the home network and performs analysis of the underlying protocols used by DLNA. The tool can be used for diagnostics and troubleshooting, enabling the user to identify compatibility issues between devices or problems in the network.

A Study on Moldability by Using Fuzzy Logic Based Neural Network(FNN)

  • Kang, Seong Nam;Huh, Yong Jeong;Cho, Hyun Chan;Choi, Man Sung
    • 반도체디스플레이기술학회지
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    • 제2권1호
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    • pp.7-9
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    • 2003
  • In order to predict the moldability of an injection molded part, a simulation of filling is needed. Short shot is one of the most frequent troubles encountered during injection molding process. The adjustment of process conditions is the most economic way to troubleshoot the problematic short shot in cost and time since the mold doesn't need to be modified at all. But it is difficult to adjust the process conditions appropriately in no times since it requires an empirical knowledge of injection molding. In this paper, the intelligent CAE system synergistically combines fuzzy-neural network(FNN) for heuristic knowledge with CAE programs for analytical knowledge. To evaluate the intelligent algorithms, a cellular phone flip has been chosen as a finite element model and filling analyses have been performed with a commercial CAE software. As the results, the intelligent CAE system drastically reduces the troubleshooting time of short shot in comparison with the expert's conventional way which is similar to the golden section search algorithm.

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전문가시스템과 신경회로망에 의한 축사환경개선시스템 (Troubleshooting System for Environmental Problems in a Livestock Building Using an Expert System and a Neural Network)

  • 손정익;;김문기
    • 한국농공학회지
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    • 제36권1호
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    • pp.95-102
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    • 1994
  • Since parameters influencing the indoor environment of livestock building interrelate so complicatedly, it is of great difficulty to identify the exact cause of environmental problems in a livestock building. Therefore, the approaches for the problem solving based on experience not numerical calculation will be helpful to the management of livestock building This study was attempt to develop the decision supporting system to diagnose environmen- tal problems in a livestock building based on an expert system and a neural network. HClips$^3$), attaching the Hangeul user interface to Clips which is known as a powerful shell for develop- ing expert system, was used. The multilayer perceptron consisting of 4 layers including back propagation learning algorithm was adpoted, which was rapidly converged within the allowable range at 50,000 learning sweeps. The expert system and neural network seemed to work well for this specific application, providing proper suggestions for some environmental problems: particularly, the neural net- work trained by an environmental problem and its corresponding answer with certainty factor, produced the same results as those by expert system.

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A Study on Moldability by Using Fuzzy Logic Based Neural Network(FNN)

  • Kang, Seong Nam;Huh, Yong Jeong;Choi, Man Sung
    • 한국반도체및디스플레이장비학회:학술대회논문집
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    • 한국반도체및디스플레이장비학회 2002년도 추계학술대회 발표 논문집
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    • pp.127-129
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    • 2002
  • In order to predict the moldability of an injection molded part, a simulation of filling is needed. Short shot is one of the most frequent troubles encountered during injection molding process. The adjustment of process conditions is the most economic way to troubleshoot the problematic short shot in cost and time since the mold doesn't need to be modified at all. But it is difficult to adjust the process conditions appropriately in no times since it requires an empirical knowledge of injection molding. In this paper, the intelligent CAE system synergistically combines fuzzy-neural network(FNN) for heuristic knowledge with CAE programs for analytical knowledge. To evaluate the intelligent algorithms, a cellular phone flip has been chosen as a finite element model and filling analyses have been performed with a commercial CAE software. As the results, the intelligent CAE system drastically reduces the troubleshooting time of short shot in comparison with the expert's conventional way which is similar to the golden section search algorithm.

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