• Title/Summary/Keyword: management of on the spot

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A Study on the Diagnosis Method of Transformers Using Multi-channel Wireless Communication Network (다채널 무선 통신망을 이용한 변압기 진단 기법에 관한 연구)

  • Kim, Dong-Hyun;Choi, Joon-Ho;Moon, Jong-Fil;Kim, Jae-Chul;Yun, Yong-Han;Jeong, Yeon-Hae
    • Proceedings of the KIEE Conference
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    • 2000.07a
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    • pp.461-463
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    • 2000
  • As increasing the accident of distribution transformers, we need to manage them efficiently. This paper proposes the method for transformer's management using multi-channel wireless data communication. The Data Acquisition System(DAS) was developed to manage transformers and the HDLC protocol applied to the system. Additionally, it will be feasible to diagnose distribution transformers by checking load conditions such as hot spot temperature, ambient temperature, load current, etc. and using adequate algorithm.

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Design and Implementation of On-line Instruction Manual System (온라인 매뉴얼 시스템의 설계 및 구현)

  • Kim, Byungho;Eun, Seongbae
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.22 no.3
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    • pp.411-417
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    • 2018
  • This paper proposes and implements an on-line instruction manual system which can generate the instruction manual page for the target device at the smartphone on the spot. The instruction manual app. on smartphone scans a QR code or reads NFC tag attached in the instruction manual management module embedded in the target device, and receives instruction manual data from the instruction manual management module through the Bluetooth communications and finally shows the refined instruction manual pages on the smartphone display using a Web-based templates. For the evaluation we embedded the instruction manual management module for an industrial generator with its instruction manual data. Assuming a circumstance of blackout we show that the proposed system can reduce the repair work within two steps compared to three steps in the existing one without the proposed system.

DEVELOPMENT OF ROBUST LATERAL COLLISION RISK ASSESSMENT METHOD (측후방 충돌 안전 시스템을 위한 횡방향 충돌 위험 평가 지수 개발)

  • Kim, Kyuwon;Kim, Beomjun;Kim, Dongwook;Yi, Kyongsu
    • Journal of Auto-vehicle Safety Association
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    • v.5 no.1
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    • pp.44-49
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    • 2013
  • This paper presents a lateral collision risk index between an ego vehicle and a rear-side vehicle. The lateral collision risk is designed to represent a lateral collision risk and provide the appropriate threshold value of activation of the lateral collision management system such as the Blind Spot Detection(BSD). The lateral collision risk index is designed using the Time to Line Crossing(TLC) and the longitudinal collision index at the predicted TLC. TLC and the longitudinal collision index are calculated with the signals from the exterior sensor such as the radar equipped on the rear-side of a vehicle and a vision sensor which detects the distance and time to the lane departure. For the robust situation assessment, the perception of driving environment determining whether the road is straighten or curved should be determined. The relative motion estimation method has been proposed with the road information via the integrated estimator using the environment sensors and vehicle sensor. A lateral collision risk index was composed with the estimated relative motion considering the relative yaw angle. The performance of the proposed lateral collision risk index is investigated via computer simulations conducted using the vehicle dynamics software CARSIM and Matlab/Simulink.

Supramax Bulk Carrier Market Forecasting with Technical Indicators and Neural Networks

  • Lim, Sang-Seop;Yun, Hee-Sung
    • Journal of Navigation and Port Research
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    • v.42 no.5
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    • pp.341-346
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    • 2018
  • Supramax bulk carriers cover a wide range of ocean transportation requirements, from major to minor bulk cargoes. Market forecasting for this segment has posed a challenge to researchers, due to complexity involved, on the demand side of the forecasting model. This paper addresses this issue by using technical indicators as input features, instead of complicated supply-demand variables. Artificial neural networks (ANN), one of the most popular machine-learning tools, were used to replace classical time-series models. Results revealed that ANN outperformed the benchmark binomial logistic regression model, and predicted direction of the spot market with more than 70% accuracy. Results obtained in this paper, can enable chartering desks to make better short-term chartering decisions.

Design of an Exploration Drone for Digital Twin based Building Control

  • Shin, Sang-Hoon;Park, Myeong-Chul
    • Journal of the Korea Society of Computer and Information
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    • v.26 no.5
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    • pp.9-16
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    • 2021
  • In this paper, we propose a building exploration drone that can be used for a digital twin-based building control system. The existing building control system using a fixed position sensor box has a problem that a management blind spot occurs. And because people patrol themselves, it takes a lot of human resources. In this paper, a drone equipped with a temperature and humidity sensor and a gas leak detection sensor is used to search the internal path of the building centering on the control blind spot. It also aims to solve the problem of the building control system by transmitting information in real time along with the video. In addition, it has a stable hovering function using an optical floor sensor and can be applied to an existing digital twin-based building control system. The results of this study are believed to be of great help in improving the quality of digital twin control systems using drones.

Simple Detection of Cochliobolus Fungal Pathogens in Maize

  • Kang, In Jeong;Shim, Hyeong Kwon;Roh, Jae Hwan;Heu, Sunggi;Shin, Dong Bum
    • The Plant Pathology Journal
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    • v.34 no.4
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    • pp.327-334
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    • 2018
  • Northern corn leaf spot and southern corn leaf blight caused by Cochliobolus carbonum (anamorph, Bipolaris zeicola) and Cochliobolus heterostrophus (anamorph, Bipolaris maydis), respectively, are common maize diseases in Korea. Accurate detection of plant pathogens is necessary for effective disease management. Based on the polyketide synthase gene (PKS) of Cochliobolus carbonum and the nonribosomal peptide synthetase gene (NRPS) of Cochliobolus heterostrophus, primer pairs were designed for PCR to simultaneously detect the two fungal pathogens and were specific and sensitive enough to be used for duplex PCR analysis. This duplex PCR-based method was found to be effective for diagnosing simultaneous infections from the two Cochliobolus species that display similar morphological and mycological characteristics. With this method, it is possible to prevent infections in maize by detecting infected seeds or maize and discarding them. Besides saving time and effort, early diagnosis can help to prevent infections, establish comprehensive management systems, and secure healthy seeds.

Characteristics of Non-Point Pollutant Runoff in Highland Field Fields through Long-term Monitoring (장기 모니터링을 통한 고랭지 밭 지역의 비점오염물질 유출특성)

  • Lee, Su In;Shin, Jae Young;Shin, Min Hwan;Ju, So-Hui;Seo, Ji Yeon;Park, Woon Ji;Lee, Jae Young;Choi, Joong Dae
    • Journal of The Korean Society of Agricultural Engineers
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    • v.59 no.4
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    • pp.85-96
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    • 2017
  • In this research, I performed rainfall monitoring by selecting the spot which can represent high altitude cool farm region in recent 3 years, and tried to understand the characteristic of outflow of non-point pollutants coming from high altitude cool farm region. As a result, it was shown that reducing rainfall runoff in highland farm area can reduce non-point pollution load and should consider priority to reduce runoff through management resources when selecting abatement method. Additionally, it is judged that reduction method related to base run-off should be selected by performing research on material motion of TN.

A Study on Effect Analysis for Foreign Worker that Employment Permit System gets in Construction Site (고용허가제 도입이 건설현장에 미치는 영향 분석에 관한 연구)

  • Kim Yong-Jun;Kim Jae-Jun
    • Proceedings of the Korean Institute Of Construction Engineering and Management
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    • 2004.11a
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    • pp.592-595
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    • 2004
  • The number of domestic foreigner worker increased rapidly In the 90s, and Domestic foreigner worker occupied important position in the various manufacturing industries or 3D types of business. Newly adopted policy called employment licence system has great significance in that it has fundamentally and drastically changed current foreign immigrant policy from the root. With foreigner worker and information of employment licence system introduction through question investigation. This research removes side effect in construction industry hereafter through drawn spot administrators` awareness and may present direction that need in foreigner worker`s practical use.

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Multivariate Analysis of Predictive Factors for the Severity in Stable Patients with Severe Injury Mechanism (중증 손상 기전의 안정된 환자에서 중증도 예측 인자들에 대한 다변량 분석)

  • Lee, Jae Young;Lee, Chang Jae;Lee, Hyoung Ju;Chung, Tae Nyoung;Kim, Eui Chung;Choi, Sung Wook;Kim, Ok Jun;Cho, Yun Kyung
    • Journal of Trauma and Injury
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    • v.25 no.2
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    • pp.49-56
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    • 2012
  • Purpose: For determining the prognosis of critically injured patients, transporting patients to medical facilities capable of providing proper assessment and management, running rapid assessment and making rapid decisions, and providing aggressive resuscitation is vital. Considering the high mortality and morbidity rates in critically injured patients, various studies have been conducted in efforts to reduce those rates. However, studies related to diagnostic factors for predicting severity in critically injured patients are still lacking. Furthermore, patients showing stable vital signs and alert mental status, who are injured via a severe trauma mechanism, may be at a risk of not receiving rapid assessment and management. Thus, this study investigates diagnostic factors, including physical examination and laboratory results, that may help predict severity in trauma patients injured via a severe trauma mechanism, but showing stable vital signs. Methods: From March 2010 to December 2011, all trauma patients who fit into a diagnostic category that activated a major trauma team in CHA Bundang Medical Center were analyzed retrospectively. The retrospective analysis was based on prospective medical records completed at the time of arrival in the emergency department and on sequential laboratory test results. PASW statistics 18(SPSS Inc., Chicago, IL, USA) was used for the statistical analysis. Patients with relatively stable vital signs and alert mental status were selected based on a revised trauma score of more than 7 points. The final diagnosis of major trauma was made based on an injury severity score of greater than 16 points. Diagnostic variables include systolic blood pressure and respiratory rate, glasgow coma scale, initial result from focused abdominal sonography for trauma, and laboratory results from blood tests and urine analyses. To confirm the true significance of the measured values, we applied the Kolmogorov-Smirnov one sample test and the Shapiro-Wilk test. When significance was confirmed, the Student's t-test was used for comparison; when significance was not confirmed, the Mann-Whitney u-test was used. The results of focused abdominal sonography for trauma (FAST) and factors of urine analysis were analyzed using the Chi-square test or Fisher's exact test. Variables with statistical significance were selected as prognostics factors, and they were analyzed using a multivariate logistics regression model. Results: A total of 269 patients activated the major trauma team. Excluding 91 patients who scored a revised trauma score of less than 7 points, 178 patients were subdivided by injury severity score to determine the final major trauma patients. Twenty-one(21) patients from 106 major trauma patients and 9 patients from 72 minor trauma patients were also excluded due to missing medical records or untested blood and urine analysis. The investigated variables with p-values less than 0.05 include the glasgow coma scale, respiratory rate, white blood cell count (WBC), serum AST and ALT, serum creatinine, blood in spot urine, and protein in spot urine. These variables could, thus, be prognostic factors in major trauma patients. A multivariate logistics regression analysis on those 8 variables showed the respiratory rate (p=0.034), WBC (p=0.005) and blood in spot urine (p=0.041) to be independent prognostic factors for predicting the clinical course of major trauma patients. Conclusion: In trauma patients injured via a severe trauma mechanism, but showing stable vital signs and alert mental status, the respiratory rate, WBC count and blood in the urine can be used as predictable factors for severity. Using those laboratory results, rapid assessment of major trauma patients may shorten the time to diagnosis and the time for management.

Testing Spatial Autocorrelation of Burn Severity (산불 피해강도의 공간 자기상관성 검증에 관한 연구)

  • Lee, Sang-Woo;Won, Myoung-Soo;Lee, Hyun-Joo
    • Journal of Korean Society of Forest Science
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    • v.101 no.2
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    • pp.203-212
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    • 2012
  • This study aims to test presence of spatial autocorrelation of burn severity in Uljin and Youngduk areas burned in 2011. SPOT satellite images were used to compute the NDVI representing burn severity, and NDVI values were sampled for 5,000 randomly dispersed points for each site. Spatial autocorrelations of sampled NDVI values were analyzed with Moran's I and Variogram models. Moran's I values of burn severity in Uljin and Youngduk areas were 0.7745 and 0.7968, respectively, indicating presence of strong spatial autocorrelations. On the basis of Variogram and changes of Moran's I values by lag class, ideal sampling distance were proposed, which were 566-2,151 m for Uljin and 272-402 m for Youngduk. It was recommended to apply these ranges of sampling distance in flexible corresponding to Anisotropic characteristics of burned areas.