• 디지털산업정보학회논문지
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• 제9권2호
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• pp.89-97
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• 2013

The green IT technology is being introduced in diverse sectors, especially in the data center and green computer sectors. Rack-type PCs, which have been developed by improving the computer hardware, are effective for data centers and large businesses, but they are not usually introduced in small organizations such as small and medium businesses and schools because they require high initial costs. Power-saving PC software enables the inexpensive power control, but the installation of the power-saving software in all computers in the organization is not an easy task. Computer users in the organization are usually not cooperative as they do not think the power-saving cost is directly related to themselves. In this paper, a technique wherein the server has a restriction in providing the IP address to the computers that has no power-saving software is proposed, so that users will cooperate in the PC power-saving system to avoid inconvenience. In order to provide restricted IP address periodically, the server makes a request of power-saving software installation check for user's PC. Proposed technique is more effective ways to save computer energy, because it does not depend on specific systems or organizations.

• 정보처리학회논문지:소프트웨어 및 데이터공학
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• 제7권1호
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• pp.1-8
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• 2018

소프트웨어 테스트는 시스템의 신뢰도를 판단하는 중요한 작업이지만, 많은 노력과 비용이 요구된다. 모델 기반 테스트는 시스템 요구사항을 정형적으로 표현한 모델로부터 테스트 설계를 자동화함으로써 이러한 비용을 줄이기 위한 방안으로 제안되었다. 모델의 각 경로마다 입력값을 생성하여 테스트를 수행하는데, 이 때, 적절한 입력 값을 찾기 위해 메타-휴리스틱 기법을 사용한다. 본 논문은 슬라이싱 기법과 우선순위 정책을 적용한 테스트 데이터 자동 생성 기법을 제안하며, 목적 경로와 관련이 없는 변수를 제외하여 불필요한 계산을 억제한다. 실험을 통해 기존의 기법보다 효과적으로 테스트 데이터를 생성함을 보인다.

• 전기의세계
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• 제28권8호
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• pp.66-71
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• 1979

This paper describes electrical analysis of the information processing of the nervous system. A general-purpose electrical neuronal model for simulating the electrical activity in a single nerve cell and in small groups of nerve cell has constructed. This model consists of two basic electronic modules to represent respectively a "cell body" and an "axon (with synapses)", together with various related appurtenances. The primary advantages of this method are; holistic view, actual physical representation of various electrical activities in a single nerve cell, display of the activity of all nerve cells flexibility with respect to network parameters. Moreover, this model can effectively help push forward our general ability to explore and conceptualize the electrical activity of interconnected networks of nerve cell behaving in concert. Also, this electronic module technique is the best of various means for this task of realistic representation of aggregates of neurons.gregates of neurons.

• 전자통신동향분석
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• 제35권3호
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• pp.9-19
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• 2020

Recently, a technique for applying a deep learning language model pretrained from a large corpus to fine-tuning for each application task has been widely used as a language processing technology. The pretrained language model shows higher performance and satisfactory generalization performance than existing methods. This paper introduces the major research trends related to deep learning pretrained language models in the field of language processing. We describe in detail the motivations, models, learning methods, and results of the BERT language model that had significant influence on subsequent studies. Subsequently, we introduce the results of language model studies after BERT, focusing on SpanBERT, RoBERTa, ALBERT, BART, and ELECTRA. Finally, we introduce the KorBERT pretrained language model, which shows satisfactory performance in Korean language. In addition, we introduce techniques on how to apply the pretrained language model to Korean (agglutinative) language, which consists of a combination of content and functional morphemes, unlike English (refractive) language whose endings change depending on the application.

• Journal of Computing Science and Engineering
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• 제9권2호
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• pp.73-82
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• 2015

Understanding how the topic evolves is an important and challenging task. A topic usually consists of multiple related events, and the accurate identification of event evolution relationship plays an important role in topic evolution analysis. Existing research has used the traditional vector space model to represent the event, which cannot be used to accurately compute the semantic similarity between events. This has led to poor performance in identifying event evolution relationship. This paper suggests constructing a semantic aspect-based vector space model to represent the event: First, use hierarchical Dirichlet process to mine the semantic aspects. Then, construct a semantic aspect-based vector space model according to these aspects. Finally, represent each event as a point and measure the semantic relatedness between events in the space. According to our evaluation experiments, the performance of our proposed technique is promising and significantly outperforms the baseline methods.

• 한국건축시공학회:학술대회논문집
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• 한국건축시공학회 2014년도 추계 학술논문 발표대회
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• pp.100-101
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• 2014

The generation of 3D models for freeform buildings is an important task while continuous monitoring of the related spatial information at different time phases. Realistic models of freeform building have to provide high geometric accuracy and detail at an effective data size.(Al-kheder, S. 2008) The efficiency of this image-based technique has been increased considerably by the development of digital technologies. Furthermore, 3D data collection based on laser scanning has become an high quality 3D models for construction site. Therefore, in this research, we have an effort to review construction methods to make freeform envelope of building using 3D scanning technology.

• 한국안전학회지
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• 제17권4호
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• pp.173-177
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• 2002

THERP (Technique for Human Error Rate Prediction) methodology has been widely used for probabilistic safety assessments. The NUREG report involving this methodology is also called the HRA handbook. The THERP assumes that all actions involved in implementing a task are considered as components. In this paper human error rates associated with maintenance are evaluated by the THERP methodology. A gas governor system is used as an example which is also a risky system like nuclear power plants. It is also demonstrated that this approach is flexible in that it can be applied to any operator actions related to test and maintenance.

• 한국정보통신학회논문지
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• 제26권8호
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• pp.1255-1258
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• 2022

Recently, immersive VR/AR contents have actively increased, and various services related to VR/AR allow users to experience remote places. For example, if failure situations occur frequently in factory of the remote site, mixed reality (MR) with a synthetic virtual human expert in reconstructed remote location can help immediate maintenance task with interaction between the operator and the virtual expert. In this paper, we present a technique for synthesizing the virtual human after capturing a 360-degree panorama of a remote environment, and analyze the effects to apply a method of guiding virtual human by interaction types. According to this paper, it was shown that co-presence level significantly increased when verbal, facial expression, and non-verbal animation of the virtual human was all expressed.

• Journal of Construction Engineering and Project Management
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• 제8권1호
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• pp.10-21
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• 2018

Many construction projects involve a plethora of safety-related problems that can cause loss of productivity, diminished revenue, time overruns, and legal challenges. Incorporating data collection and analytics methods can help overcome the root causes of many such problems. However, in a dynamic construction workplace collecting data from a large number of resources is not a trivial task and can be costly, while many contractors lack the motivation to incorporate technology in their activities. In this research, an Android-based mobile application, Preemptive Construction Site Safety (PCS2) is developed and tested for real-time location tracking, trajectory prediction, and prevention of potential collisions between workers and site hazards. PCS2 uses ubiquitous mobile technology (smartphones) for positional data collection, and a robust trajectory prediction technique that couples hidden Markov model (HMM) with risk-taking behavior modeling. The effectiveness of PCS2 is evaluated in field experiments where impending collisions are predicted and safety alerts are generated with enough lead time for the user. With further improvement in interface design and underlying mathematical models, PCS2 will have practical benefits in large scale multi-agent construction worksites by significantly reducing the likelihood of proximity-related accidents between workers and equipment.

• 재활치료과학
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• 제9권2호
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• pp.7-25
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• 2020

목적 : 본 연구는 뇌졸중 환자를 대상으로 한 이중과제 훈련(Dual-task training)의 효과를 알아본 연구들을 분석하는 것을 목적으로 한다. 연구방법 : NDSL, RISS, PubMed, CoChrane, EMBASE를 통해 지난 10년 간 국내외 학술지에 게재된 논문들을 검색하였고, 최종적으로 10개의 논문을 선정하였다. 이를 전통적 단일계층 근거 모형에 따른 질적평가를 시행하고, Comprehensive Meta Analysis 3.0 프로그램을 통해 메타분석을 시행하였다. 결과 : 선정된 10편의 논문의 질적 수준은 모두 전통적 단일계층 근거 모형의 I과 II에 해당되어 높은 편에 속했다. 이중과제 훈련을 구성하고 있는 운동과제로는 7편의 문헌에서 보행 또는 균형 과제를 선택했으며, 3편의 연구에서 상지운동 관련 과제를 선정하였다. 메타분석을 실시한 결과 일상생활활동 수행능력이 0.65, 인지기능이 0.64로 보통(medium) 효과크기로, 하지운동 기능과 상지운동 기능은 각각 0.34와 0.22로 작은(small) 효과크기를 보였다. 일상생활활동 수행능력과 인지기능의 효과크기만 통계학적으로 유의미하였다(p<0.05). 결론 : 본 연구를 통해 이중과제 훈련이 뇌졸중 환자의 일상생활활동 수행능력 및 인지기능 회복에 유용한 중재기법이 될 수 있음을 확인하였다. 이는 국내 임상 환경에서 뇌졸중 환자에게 적절한 중재방법을 선정할 때 도움이 될 만한 자료로 활용될 수 있을 것이다.