• KEPCO Journal on Electric Power and Energy
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• 제3권2호
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• pp.89-97
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• 2017

The substation is a critical node in the power network where power is transformed in the power generation, transmission and distribution system. The IEC 61850 is a global standard which proposes efficient substation automation by defining interoperable communication and data modelling techniques. In order to achieve this level of interoperability and automation, the IEC 61850 (Part 6) defines System Configuration description Language (SCL). The SCL is an XML based file format for defining the abstract model of primary and secondary substation equipment, communications systems and also the relationship between them. It enables the interoperable exchange of data during substation engineering by standardizing the description of applications at different stages of the engineering process. To achieve the seamless interoperability, multi-vendor devices are required to adhere completely to the IEC 61850. This paper proposes an efficient algorithm required for verifying the interoperability of multi-vendor devices by checking the adherence of the SCL file to specifications of the standard. Our proposed SCL validation algorithm consists of schema validation and other functionalities including information model validation using UML data model, the Vendor Defined Extension model validation, the User Defined Rule validation and the IED Engineering Table (IET) consistency validation. It also integrates the standard UCAIUG (Utility Communication Architecture International Users Group) Procedure validation for quality assurance testing. Our proposed algorithm is not only flexible and efficient in terms of ensuring interoperable functionality of tested devices, it is also convenient for use by system integrators and test engineers.

• 한국산림과학회지
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• 제98권3호
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• pp.297-304
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• 2009

본 연구는 국립공원 입장료 폐지 후 탐방수요가 급증한 북한산국립공원의 사회 심리적 수용력을 평가하고 생태적 수용력 관리를 위한 단계별 관리전략 마련을 위해 수행되었다. 현지 설문조사는 2008년 10월 북한산국립공원 탐방객 512명을 대상으로 이루어졌다. 한계효용이론 모델을 이용하여 분석한 결과 북한산국립공원의 1일 사회 심리적 수용력은 약 65,000명으로 추정되었다.

• 대한한의진단학회지
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• 제16권3호
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• pp.23-32
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• 2012

Objectives: The objective of this study is to investigate and valuate currently provided database management systems (DBMS) of traditional Korean medical knowledge. Methods: We searched DBMS on the web and smart device application markets (Apple App Store and Google Play Store). Key words for searching were 'traditional medicine', 'acupuncture', 'moxibustion', 'herbal medicine', and '한의학'. We looked into each DBMS to find out its scopes and limits, and each was valuated according to its functionality, accessibility, and utility. Results: 186 DBMS of traditional Korean medical knowledge were investigated and 91% of them were applications for smart devices. Almost all DBMS provided acupuncture and herb information, and a small amount of DMBS provided prescription and research paper information. Functionality, accessibility, and utility valuation were performed by using scoring system from 0 to 2. Mean values of functionality, accessibility, and utility were 0.86, 1.29, and 1.09. Conclusions: On the whole, high accessibility and low functionality were found, and various data-calculating functions were not implemented. Further researches and developments about traditional Korean medical knowledge DBMS are necessary to provide correct traditional Korean medical information and to support the studies about Korean medicine.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제10권10호
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• pp.4848-4863
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• 2016

The explosive wireless data service requirement accompanied with carbon dioxide emission and consumption of traditional energy has put pressure on both industria and academia. Wireless networks powered with the uneven and intermittent generated renewable energy have been widely researched and lead to a new research paradigm called green communication. In this paper, we comprehensively consider the total generated renewable energy, QoS requirement and channel quality, then propose a utility based renewable energy allocation policy. The utility here means the satisfaction degree of users with a certain amount allocated renewable energy. The energy allocation problem is formulated as a constraint optimization problem and a heuristic algorithm with low complexity is derived to solve the raised problem. Numerical results show that the renewable energy allocation policy is applicable not only to soft QoS, but also to hard QoS and best effort QoS. When the renewable energy is very scarce, only users with good channel quality can achieve allocated energy.

• Journal of the Korean Data and Information Science Society
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• 제19권1호
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• pp.1-10
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• 2008

The purpose of this research is to compare whether SERVQUAL or SERVPERV AL scale is more excellent when explaining customer satisfaction and repurchase intention. The value of R2 which shows explaining power is used to test the excellence of the scale. As a result of comparison and analysis, SERVPERV AL scale showed better explaining power of customer satisfaction and repurchase intention than SERVQUAL. This result is because SERVPERV AL scale predicates overall estimation on utility of product/service.

• Management Science and Financial Engineering
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• 제18권2호
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• pp.13-17
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• 2012

Set covering has widely been accepted as a staple tool for feature selection in data mining. We present a generalized version of this classical combinatorial optimization model to make it better suited for the purpose and propose a surrogate relaxation-based procedure for its meta-heuristic solution. Mathematically and also numerically with experiments on 25 set covering instances, we demonstrate the utility of the proposed model and the proposed solution method.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2008년도 제39회 하계학술대회
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• pp.57-58
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• 2008

Recently, several kinds of superconductivity applications are implemented and evaluated in the utility power networks. The protection system for HTS(High Temperature Superconducting) power devices safe operation has not been established yet. For the protection of the HTS apparatus, a better understanding of the quench properties against fault current and appropriate protection devices are required. In this study, an algorithm of protection system is developed with respect to HTS power cable. The protection system of HTS power cable was analyzed in the simulated power system. Results obtained from simulation will provide much more decisive data in order to design a certain superconducting power device, and can give a good information for the installation in power system.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2003년도 Proceedings of ACRS 2003 ISRS
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• pp.902-904
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• 2003

The main objective of this paper is to investigate the potential utility of multisensor remotely sensed data for improved coastal wetland mapping. Five data fusion models, three algebraic models (Multiplicative (MT), Brovey (BT) and Wavelet transform (WT)) and two spectral domain models (Principals component transform (PCT) and Intensity-Hue-Saturation (IHS)) were implemented and tested over the multisensor data. The fused images were then compared based on visual and statistical approaches. The results show that the wavelet transform provides greater flexibility for combining optical data sets and has good potential for preserving the spatial and spectral content of the original images . However, this model yields poor information when combining optical and microwave data. Brovey transform is more reliable for fusing optical and microwave image data and yields improved information about different wetland features of the coastal zone.

• 정보보호학회논문지
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• 제30권5호
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• pp.945-956
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• 2020

많은 응용프로그램들로부터 양질의 서비스를 제공받기 위해서 데이터 공개는 필수적이다. 하지만 원본 데이터를 그대로 공개할 경우 개인의 민감한 정보(정치적 성향, 질병 등)가 드러날 위험이 있기 때문에 원본 데이터가 아닌 재현 데이터를 생성하여 공개함으로써 프라이버시를 보존하는 많은 연구들이 제안되어왔다. 그러나 단순히 재현 데이터를 생성하여 공개하는 것은 여러 공격들(연결공격, 추론공격 등)에 의해 여전히 프라이버시 유출 위험이 존재한다. 본 논문에서는 이러한 민감한 정보의 유출을 방지하기 위해, 재현 데이터 생성 모델로 주목받고 있는 GAN에 최신 프라이버시 보호 기술인 차분 프라이버시를 적용하여 프라이버시가 보존되는 재현 데이터 생성 알고리즘을 제안한다. 생성 모델은 레이블이 있는 데이터의 효율적인 학습을 위해 CGAN을 사용하였고, 데이터의 유용성 측면을 고려하여 기존 차분 프라이버시보다 프라이버시가 완화된 Rényi 차분 프라이버시를 적용하였다. 그리고 생성된 데이터의 유용성에 대한 검증을 다양한 분류기를 통해 실시하고 비교분석하였다.

• 한국산학기술학회논문지
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• 제21권12호
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• pp.320-330
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• 2020

화재는 높은 비정형성으로 인해 딥러닝 모델을 이용한 영상인식 분야에서도 좋은 성능을 내기가 어려운 대상 중 하나이다. 특히 지하공동구 내 화재는 딥러닝 모델의 학습을 위한 화재 데이터 확보가 어렵고 열약한 영상 조건 및 화재로 오인할 수 있는 객체가 많아 화재 검출이 어렵고 성능이 낮다. 이러한 이유로 본 연구는 딥러닝 기반의 지하공동구 내 화재 탐지 모델을 제안하고, 제안된 모델의 성능을 평가하였다. 기존 합성곱 인공신경망에 GoogleNet의 Inception block과 ResNet의 skip connection을 조합하여 어두운 환경에서 발생되는 화재 탐지를 위한 모델 구조를 제안하였으며, 제안된 모델을 효과적으로 학습시키기 위한 방법도 함께 제시하였다. 제안된 방법의 효과를 평가하기 위해 학습 후 모델을 지하공동구 및 유사환경 조건의 화재 문제와 화재로 오인할 수 있는 객체를 포함한 이미지에 적용해 결과를 분석하였다. 또한 기존 딥러닝 기반 화재 탐지 모델의 정밀도, 검출률 지표와 비교함으로써 모델의 화재 탐지 성능을 정량적으로 평가하였다. 제안된 모델의 결과는 어두운 환경에서 발생되는 화재 문제에 대해 높은 정밀도와 검출률을 나타내었으며, 유사 화재 객체에 대해 낮은 오탐 및 미탐 성능을 가지고 있음을 보여주었다.