• Journal of Information Processing Systems
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• 제13권4호
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• pp.834-851
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• 2017

The amount of sources of information available on the web using ontologies as support continues to increase and is often heterogeneous and distributed. Ontology alignment is the solution to ensure semantic interoperability. In this paper, we describe a new ontology alignment approach, which consists of combining structure-based and reasoning-based approaches in order to discover new semantic correspondences between entities of different ontologies. We used the biblio test of the benchmark series and anatomy series of the Ontology Alignment Evaluation Initiative (OAEI) 2012 evaluation campaign to evaluate the performance of our approach. We compared our approach successively with LogMap and YAM++ systems. We also analyzed the contribution of our method compared to structural and semantic methods. The results obtained show that our performance provides good performance. Indeed, these results are better than those of the LogMap system in terms of precision, recall, and F-measure. Our approach has also been proven to be more relevant than YAM++ for certain types of ontologies and significantly improves the structure-based and reasoningbased methods.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제13권3호
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• pp.1583-1598
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• 2019

Recently, software has increased in complexity and been applied in various industrial fields. As a result, the presence of software bugs cannot be avoided. Various bug severity prediction methodologies have been proposed, but their performance needs to be further improved. In this study, we propose a novel technique for bug severity prediction in cross projects such as Eclipse, Mozilla, WireShark, and Xamarin by using topic modeling and similarity (i.e., KL-divergence). First, we construct topic models from bug repositories in cross projects using Latent Dirichlet Allocation (LDA). Then, we find topics in each project that contain the most numerous similar bug reports by using a new bug report. Next, we extract the bug reports belonging to the selected topics and input them to a Naïve Bayes Multinomial (NBM) algorithm. Finally, we predict the bug severity in the new bug report. In order to evaluate the performance of our approach and to verify the difference between cross projects and single project, we compare it with the Naïve Bayes Multinomial approach; the Lamkanfi methodology, which is a well-known bug severity prediction approach; and an emotional similarity-based bug severity prediction approach. Our approach exhibits a better performance than the compared methods.

• 국제학술발표논문집
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• The 9th International Conference on Construction Engineering and Project Management
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• pp.640-648
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• 2022

In the United States, the Safety Rest Areas (SRAs) were introduced as highway roadside infrastructures in the early 1900s. The State Departments of Transportation (DOTs) operate/maintain their SRAs using different methods. The Washington DOT used the in-house workforce method for over 20 years, whereas some states moved to Performance-Based Contracting (PBC) from the in-house workforce to save cost primarily. Several existing studies claimed that using the PBC approach saved costs on several highway assets. Thus, the principal objective of this study is to compute and compare the unit operating/maintenance cost of SRAs using the in-house workforce method (in Washington state) with the PBC approach (in other states). The findings of this study show that the average annual cost using the PBC approach was much more than the average annual cost using the in-house workforce approach. The findings also show that in Washington state, the 'Labor Cost' category was a key expenditure, which is statistically higher than other categories. The 'Labor Cost' was followed by the 'Other Services', and then 'Materials and Supplies' and 'Equipment.' The study's findings indicated that outsourcing does not always save costs for agencies. The study findings may help transportation construction/maintenance professionals select a cost-effective approach for their future planning.

• Journal of Mechanical Science and Technology
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• 제17권7호
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• pp.958-965
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• 2003

Structural integrity of either a passenger car or a light truck is one of the basic requirements for a full vehicle engineering and development program. The results of the vehicle product performance are measured in terms of ride and handling, durability, noise/vibration/harshness (NVH), crashworthiness and occupant safety. The level of performance of a vehicle directly affects the marketability, profitability and, most importantly, the future of the automobile manufacturer In this study, we used the virtual proving ground (VPG) approach for obtaining the dynamic characteristics. The VPG approach uses a nonlinear dynamic finite element code (LS-DYNA3D) which expands the application boundary outside the classic linear static assumptions. The VPG approach also uses realistic boundary conditions of tire/road surface interactions. To verify the predicted dynamic results, a single lane change test has been performed. The prediction results were compared with the experimental results, and the feasibility of the integrated CAE analysis methodology was verified.

• ETRI Journal
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• 제41권4호
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• pp.452-464
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• 2019

The use of wireless body area networks (WBANs) in healthcare applications has made it convenient to monitor both health personnel and patient status continuously in real time through wearable wireless sensor nodes. However, the heterogeneous and complex network structure of WBANs has some disadvantages in terms of control and management. The software-defined network (SDN) approach is a promising technology that defines a new design and management approach for network communications. In order to create more flexible and dynamic network structures in WBANs, this study uses the SDN approach. For this, a WBAN architecture based on the SDN approach with a new energy-aware routing algorithm for healthcare architecture is proposed. To develop a more flexible architecture, a controller that manages all HUBs is designed. The proposed architecture is modeled using the Riverbed Modeler software for performance analysis. The simulation results show that the SDN-based structure meets the service quality requirements and shows superior performance in terms of energy consumption, throughput, successful transmission rate, and delay parameters according to the traditional routing approach.

• 예술인문사회 융합 멀티미디어 논문지
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• 제4권2호
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• pp.369-378
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• 2014

The Reed-Muller code is one of the efficient algorithms for multiple bit error correction, however, its high-computation requirement inherent in the decoding process prohibits its use in practical applications. To solve this problem, this paper proposes a graphics processing unit (GPU)-based parallel error control approach using Reed-Muller R(r, m) coding for real-time wireless communication systems. GPU offers a high-throughput parallel computing platform that can achieve the desired high-performance decoding by exploiting massive parallelism inherent in the algorithm. In addition, we compare the performance of the GPU-based approach with the equivalent sequential approach that runs on the traditional CPU. The experimental results indicate that the proposed GPU-based approach exceedingly outperforms the sequential approach in terms of execution time, yielding over 70× speedup.

• 자원ㆍ환경경제연구
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• 제23권3호
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• pp.365-408
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• 2014

본 연구의 목적은 전통적 접근의 한계를 지적하고 물질균형 접근의 생산효율을 도입하여 두 생산효율의 차이와 2단계 효율, 오염규제의 경제성장에 미치는 영향 등을 비교하고자 함이다. 특히 상이한 국가들을 대상으로 세 그룹으로 구분하여 이들의 결과를 비교한다. 본 연구에서는 화석연료 투입물을 직접 연계된 $CO_2$와 산출물과 연결시킴으로써 보다 현실에 가까운 생산효율을 측정하였다. 전통적 생산효율과 물질균형 효율비교에서 효율의 측정치는 세부적으로 살펴보면 상당한 차이가 있다. 특히 투입물인 화석연료를 고려하지 않을 경우 저소득국은 생산효율의 성과가 나쁘고 OECD와 중고소득이 보다 좋은 성과를 보인 것으로 나타나고 있어서 현실을 제대로 반영하지 못하고 있다. 물질흐름접근에 기초할 경우 저소득국의 성과가 OECD보다 높고 환경적 요인이 경제에 미치는 영향도 보다 완화된 것으로 확인된다.

• 한국콘크리트학회:학술대회논문집
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• 한국콘크리트학회 2009년도 춘계 학술대회 제21권1호
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• pp.1-2
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• 2009

교량접속부의 도로주행 성능을 향상시키고자 교대일체식 접속슬래브를 제안하였으며, 교대일체식 접속슬래브와 일반적인 교량의 접속슬래브 거동을 비교함으로서 교대일체식 접속슬래브의 적용가능성을 해석적으로 검토하였다.

• 한국전자거래학회지
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• 제26권3호
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• pp.119-132
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• 2021

내용적 연관성에 기반한 연관지식의 파악은 핵심 지식에 대한 서비스와 보안의 기본적인 기능이다. 본 연구는 내용적 연관성을 기준으로 연관지식을 파악하는 기존의 방식, 즉 키워드 기반 방식과 워드임베딩 방식의 연관문서 네트워크 구성 성능을 비교하여 어떤 방식이 정량적/정성적 측면에서 우월한 성능을 나타내는가를 검토한다. 검토 결과 키워드 기반 방식은 핵심 문서 파악 능력과 시맨틱 정보 표현 능력 면에서 우월한 성능을, 워드임베딩 방식은 F1-Score와 Accuracy, 연관성 강도 표현 능력, 대량 문서 처리 능력 면에서 우월한 성능을 나타냈다. 본 연구의 결과는 기업과 사용자의 요구를 반영하여 보다 현실적인 연관지식 서비스 관리에 활용될 수 있다.

• 한국추진공학회지
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• 제16권4호
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• pp.23-32
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• 2012

본 연구에서는 가변 안내익과 가변 정익을 가진 압축기가 적용된 소형 터보팬엔진의 통합성능해석법에 대한 연구를 수행하였다. 통합해석을 위해 Isight를 이용하여 엔진성능해석프로그램(NPSS)과 압축기탈 설계점 성능프로그램(STGSTK)을 연계하여 해석할 수 있는 절차 및 연계프로그램을 구축하였다. 각각의 해석프로그램은 실험데이터와 비교하여 타당성을 검증하였다. 이러한 통합 해석법을 적용한 결과 탈설계점에서 요구되는 서지마진을 가지는 가변시스템의 작동 조건을 예측할 수 있었다.