• Journal of Electrical Engineering and Technology
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• 제12권1호
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• pp.284-287
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• 2017

This paper introduces liquid crystal (LC) alignment and its electro-optical properties in the LC cells with silver nanowire (AgNW) networks. The AgNW network was used as an electrode of LC cell as a substitute for an indium-tin-oxide (ITO) film. LC alignment characteristics in the LC cell using AgNW networks, which have two different sheet resistances of $60{\Omega}/m^2$ and $80{\Omega}/m^2$, were observed. The LC alignment characteristics including pretilt angle, LC alignment state, and thermal stability are similar irrespective of sheet resistance of AgNW network. However, twisted-nematic (TN)-LC cell normally operated when using AgNW network with sheet resistance of $80{\Omega}/m^2$. Electrooptical properties of TN-LC cell exhibited competitive performance compared to those of TN-LC cell based on conventional ITO electrode, which allow new approaches to replace conventional ITO electrode in display technology.

• Journal of Information Processing Systems
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• 제8권2호
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• pp.301-314
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• 2012

In this paper, two new approaches to align English-Arabic sentences in bilingual parallel corpora based on the Multi-Class Support Vector Machine (MSVM) and the Hidden Markov Model (HMM) classifiers are presented. A feature vector is extracted from the text pair that is under consideration. This vector contains text features such as length, punctuation score, and cognate score values. A set of manually prepared training data was assigned to train the Multi-Class Support Vector Machine and Hidden Markov Model. Another set of data was used for testing. The results of the MSVM and HMM outperform the results of the length based approach. Moreover these new approaches are valid for any language pairs and are quite flexible since the feature vector may contain less, more, or different features, such as a lexical matching feature and Hanzi characters in Japanese-Chinese texts, than the ones used in the current research.

• 한국생물정보학회:학술대회논문집
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• 한국생물정보시스템생물학회 2005년도 BIOINFO 2005
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• pp.109-112
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• 2005

Identifying orthologous paralogenes is a fundamental problem in comparative genomics and can facilitate the study of evolutionary history of the species. Existing approaches for locating paralogs make use of local alignment based algorithms such as BLAST. However, there are cases that genes with high alignment scores are not paralogenes. On the other hand, whole genome alignment tools are designed to locate orthologs. Most of these tools are based on some unique substrings (called anchors) in the corresponding orthologous pair to identify them. Intuitively, these tools may not be useful in identifying orthologous paralogenes as paralogenes are very similar and there may not be enough unique anchors. However, our study shows that this is not true. Paralogenes although are similar, they have undergone different mutations. So, there are enough unique anchors for identifying them. Our contributions include the followings. Based on this counter-intuitive finding, we propose to employ the whole genome alignment tools to help verifying paralogenes. Our experiments on five pairs of human-mouse chromosomes show that our approach is effective and can identify most of the mis-classified paralog groups (more than 80%). We verify our finding that whole genome alignment tools are able to locate orthologous paralogenes through a simulation study. The result from the study confirms our finding.

• 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.

• 농약과학회지
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• 제10권3호
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• pp.157-164
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• 2006

새로운 N-phenylthionocarbamate 유도체들의 N-phenyl-치환기(X) 변화에 따른 벼잎집무늬마름병균(Rhizoctonia solani) 및 고추역병균(Phytophthora capsici)에 대한 살균활성과의 3D-QSARs 관계를 상이한 정렬에 따른 비교 분자장 분석(CoMFA) 방법으로 연구하였다. 그 결과, field fit 정렬 조건에서 유도된 CoMFA 모델들이 atom based fit 정렬 조건의 모델보다 양호하였다. 따라서 두 균주에 대한 살균활성을 가장 잘 설명하는 CoMFA 모델들은 field fit 정렬과 CoMFA장들의 조합 조건에서 유도된 CoMFA 모델(RS: RF2 및 PC: PF2)들이었다. 두 CoMFA 모델들은 통계적으로 높은 예측성($r^2_{cv.}$=RS: 0.557 및 PC: 0.676)과 상관성($r^2_{ncv.}$=RS: 0.954 및 PC:0.968)을 보였다. 그리고 두 균주에 사이의 선택적인 살균활성은 기질분자의 정전기장에 의존적이었으며 CoMFA 등고도는 두 균주에 대한 살균활성이 기질분자의 치환기(X) 변화로 개전 될 수 있을 것임을 나타내었다.

• 제어로봇시스템학회논문지
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• 제19권11호
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• pp.984-990
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• 2013

Pick and placement systems need high speeds and reliability for the position alignment process of semiconductor packages in picking up and placing them on placement trays. Image processing is usually adopted for position aligning where finding out the most suitable method is considered most important aspect of the process. This paper proposes a method for judging the performance of different image processing algorithms based on the PCI (Process Capability Index). The PCI is an index which represents the error distribution acquired from many experimental data. The bigger the index, the more reliable the results or the lower the deviation. Two compared and candidate methods are Hough Transform and PCA (Principal Component Analysis), both of which are very suitable for oblong or rectangular type packages such as BGA's. Comparing the two approaches through a CPI with enough experimental results leads to the conclusion that the PCA is much better than the Hough Transform in not only reliability, but also processing speed.

• Applied Biological Chemistry
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• 제48권1호
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• pp.82-88
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• 2005

새로운 2-alkoxyphenyl-3-phenylthioisoindoline-1-one 유도체(A & B)들의 치환기 변화에 따른 저항성(RPC; 95CC7303)과 감수성(SPC; 95CC7105) 고추역병 균주(Phyto pthora capsici)들의 살균활성에 대한 3차원적인 정량적 구조-활성관계(3D-QSAR)를 비교 분자장 분석(CoMFA) 방법으로 연구하였다. 정렬방법에 따라 field fit(FF) 보다는 atom based fit(AF) 정렬시에 양호한(AF>FF) 모델, A3 및 A7을 얻을 수 있었다. AF 정렬시, 부가적 설명인자로서 HOMO 및 LUMO 분자 궤도장이 추가된 H-bond와 standard field에서 유도된 균주별 두 모델의 cross-validated $r^2\;_{cv.}$값$(q^2=0.625{\sim}0.834)$과 non cross-validated 값$(r^2_{ncv.}=0.894{\sim}0.915)$에 근거하여 SPC 균주의 살균활성에 대한 모델, A7이 RPC 균주의 살균활성에 대한 모델, A3보다 양호한 예측성(q2)을 나타내었다. 두 균주에 대한 살균활성은 분자의 입체장$(66.8{\sim}82.8%)$, 정전기장$(10.3{\sim}4.6%)$ 그리고 분자 궤도장(SPC: HOMO, 12.6% 및 RPC: LUMO, 22.9%)이 영향을 미치는 중요한 요소이었다. 두 균주에 대한 선택성은 N-phenyl 고리상 ortho, meta-위치의 양하전과 S-phenyl 고리상 치환기의 친수성의 크기에 의존적이었다.

• Journal of Information Processing Systems
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• 제5권4호
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• pp.197-206
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• 2009

We introduce a novel high-level security metrics objective taxonomization model for software- intensive systems. The model systematizes and organizes security metrics development activities. It focuses on the security level and security performance of technical systems while taking into account the alignment of metrics objectives with different business and other management goals. The model emphasizes the roles of security-enforcing mechanisms, the overall security quality of the system under investigation, and secure system lifecycle, project and business management. Security correctness, effectiveness and efficiency are seen as the fundamental measurement objectives, determining the directions for more detailed security metrics development. Integration of the proposed model with riskdriven security metrics development approaches is also discussed.

• 인지과학
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• 제35권1호
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• pp.23-48
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• 2024

대형언어모형(LLM)을 현실에 적용하려는 지속적인 노력에도 불구하고, 인공지능이 맥락을 이해하고 사람의 의도에 맞게 사회적 지지를 제공하는 능력은 아직 제한적이다. 본 연구에서는 LLM이 사람의 감정 상태를 추론하도록 유도하기 위해, 심리 치료 이론을 기반으로 한 공감 체인(Chain of Empathy, CoE) 프롬프트 방법을 새로 개발했다. CoE 기반 LLM은 인지-행동 치료(CBT), 변증법적 행동 치료(DBT), 인간 중심 치료(PCT) 및 현실 치료(RT)와 같은 다양한 심리 치료 방식을 참고하였으며, 각 방식의 목적에 맞게 내담자의 정신 상태를 해석하도록 설계했다. CoE 기반 추론을 유도하지 않은 조건에서는 LLM이 사회적 지지를 구하는 내담자의 글에 주로 탐색적 공감 표현(예: 개방형 질문)만을 생성했으며, 추론을 유도한 조건에서는 각 심리 치료 모형을 대표하는 정신 상태 추론 방법과 일치하는 다양한 공감 표현을 생성했다. 공감 표현 분류 과제에서 CBT 기반 CoE는 감정적 반응, 탐색, 해석 등을 가장 균형적으로 분류하였으나, DBT 및 PCT 기반 CoE는 감정적 반응 공감 표현을 더 잘 분류하였다. 추가로, 각 프롬프트 조건 별로 생성된 텍스트 데이터를 정성적으로 분석하고 정렬 정확도를 평가하였다. 본 연구의 결과는 감정 및 맥락 이해가 인간-인공지능 의사소통에 미치는 영향에 대한 함의를 제공한다. 특히 인공지능이 안전하고 공감적으로 인간과 소통하는 데 있어 추론 방식이 중요하다는 근거를 제공하며, 이러한 추론 능력을 높이는 데 심리학의 이론이 인공지능의 발전과 활용에 기여할 수 있음을 시사한다.

• Journal of Information Processing Systems
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• 제8권4호
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• pp.555-566
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• 2012

The cloud environment makes it possible to analyze large data sets in a scalable computing infrastructure. In the bioinformatics field, the applications are composed of the complex workflow tasks, which require huge data storage as well as a computing-intensive parallel workload. Many approaches have been introduced in distributed solutions. However, they focus on static resource provisioning with a batch-processing scheme in a local computing farm and data storage. In the case of a large-scale workflow system, it is inevitable and valuable to outsource the entire or a part of their tasks to public clouds for reducing resource costs. The problems, however, occurred at the transfer time for huge dataset as well as there being an unbalanced completion time of different problem sizes. In this paper, we propose an adaptive resource-provisioning scheme that includes run-time data distribution and collection services for hiding the data transfer time. The proposed adaptive resource-provisioning scheme optimizes the allocation ratio of computing elements to the different datasets in order to minimize the total makespan under resource constraints. We conducted the experiments with a well-known sequence alignment algorithm and the results showed that the proposed scheme is efficient for the cloud environment.