Earticle

The demand for the interior industry is on the rise due to the increasing proportion of aging buildings, increasing income levels and quality of life. In the public sector, the number of interior construction projects is continuously increasing due to facilities improvement and institutional transfer. In the public sector, when the interior construction is carried out, it is largely divided into design and construction stages. On the other hand, in order to place an order in the public sector, it requires institutional conditions such as business type, price criterion, award criteria, and guarantees. In the case of interior construction, it is possible to place an order according to the ‘Framework act on the construction industry.’ However, in th case of interior design, it is necessary to establish a basis law to be applied for ordering. Therefore, this study analysed the necessity of improving the system related to the interior design order in the public sector and suggested ways to improve the system. In the future, we will continue to conduct research based on this research, and if institutional improvement is made through the proposed methodology, it will be possible to apply effectively not only in the public sector but also in the private sector.

Since the domestic construction industry in Korea has been developed on quantity with oversea busniess expansion, the need of VE has been on the rise for minimizing construction and maintenance cost with improvement of quality and functionality. In response, Ministry of Land, Transport and Maritime Affairs made research report that includes pre-qualification and technical proposal required when ordering VE. This study examines the design VE of military facility construction, investigates the corresponding problems and addresses how to improve design VE through the order cases and survey. In addition, suggestions for improvement of contract method and qualification that helps contractor choose relevant company in more reasonable and precise way are described. So, this study may be neither applicable nor practical to some other government or civilian organizations because this focuses on order design VE from the military perspective. Nevertheless, such drawbacks are indispensible for profession and specialization in military organization since military organization serves for the nation and thus it is responsible for preventing national budget from being wasted. Finally, we hope that this study can contribute to developing the system of ordering design VE and constructing a higher level of military facilities.

The fabrication of polymer field-effect transistors with good electrical properties requires the minimization of molecular defects caused by low molecular weight (MW) fractions of a conjugated polymer. Here we report that the electrical properties of a narrow bandgap conjugated polymer could be dramatically improved as a result of dipping a thin film into a poor solvent. The dipping time in hexanes was controlled to efficiently eliminate the low molecular weight fractions and concomitantly improve the molecular ordering of the conjugated polymer. The correlation between the structural order and the electrical properties was used to optimize the dipping time and investigate the effects of the low MW fraction on the electrical properties of the resulting thin film.

In this paper, we propose an efficient soft-output signal detection method for spatially multiplexed multiple-input multiple-output (MIMO) systems. The proposed method is based on the ordered successive interference cancellation (OSIC) algorithm, but it significantly improves the performance of the original OSIC algorithm by solving the error propagation problem. The proposed method combines this enhanced OSIC algorithm with a multiple-channel-ordering technique in a very efficient way. As a result, the log likelihood ratio values can be computed by using a very small set of candidate symbol vectors. The proposed method has been synthesized with a 0.13-${\mu}m$ CMOS technology for a $4{\times}4$ 16-QAM MIMO system. The simulation and implementation results show that the proposed detector provides a very good solution in terms of performance and hardware complexity.

In an underwater environment, measurements regarding true targets and false targets (clutter) can be made. Therefore, a suitable data association method to exactly detect and track a target and an efficient track initiation method for judging tracks formed by the target should be selected in this environment. This paper attempts to propose a new data association method and track initiation method to detect and track targets more effectively. Also, the performance of the new method is tested in a series of Monte Carlo simulation runs and is compared with the existing data association and track initiation methods in a cluttered environment.

Ordering is performed to reduce the amount of fill-ins of the Cholesky factor of a symmetric positive definite matrix. This paper proposes a new ordering algorithm that reduces the fill-ins of the Cholesky factor iteratively by elimination tree rotations and clique separators. Elimination tree rotations have been used mainly to reorder the rows of the permuted matrix for the efficiency of storage space management or parallel processing, etc. In the proposed algorithm, however, they are repeatedly performed to reduce the fill-ins of the Cholesky factor. In addition, we presents a simple method for finding a minimal node separator between arbitrary two nodes of a chordal graph. The proposed reordering procedure using clique separators enables us to obtain another order of rows of which the number of till-ins decreases strictly.

OPKFDD(Ordered Pseudo-Kronecker Functional Decision Diagram)는 각 노드에서 다양한 decomposition을 취할 수 있는 Ordered-DD(Decision Diagram)의 한 종류이다. OBDD(Ordered Binary Decision Diagram)에서 각 노드는 Shannon decomposition 만을 이용하는 반면, OPKFDD는 각 노드마다 Shannon, positive Davio, negative Davio decomposition 중의 하나를 사용하도록 하며 많은 경우 매우 적은 수의 노드로 함수를 표현할 수 있다. 그러나 각 노드마다 각기 다른 확장 방법을 선택할 수 있는 특징 때문에 입력 노드에 대한 확장 방밥과 입력 변수 순서의 결정에 의해서 OPKFDD의 크기가 좌우되며 이에 대한 최적의 해를 구하는 것은 매우 어려운 문제로 알려져 있다. 본 논문에서는 DD 크기를 기준을 노드 수로 하여 기존의 BDD(Binary Decision Diagram) 자료구조에서 OPKFDD를 효율적으로 유도해내는 방법을 제시하고 complex term을 이용하여 이를 최소화하는 알고리즘을 제시한다. 그리고 입력변수 순서 결정을 위하여 다출력함수의 경우 함수간의 포함관계를 고려한 그룹-sifting과 각 노드의 확장 방법을 제안하고 실험 결과를 제시한다.

세선화 알고리즘의 간접 기법으로 제시된 자기구성 특징 그래프(Self-Organizing feature Graph : SOG) 기법은 안정된 세선화 결과를 가지는 장점이 있으나 학습 알고리즘에서 전체 노드를 재정돈하는 과정이 내포되어 있다. 본 본문에서는 학습 알고리즘의 재정돈 과정을 대신하는 점증적 정돈기법을 제안하고 이 기법을 세선화 알고리즘에 결합하여 실험하고 분석하였다. 제안된 알고리즘은 기존의 SO를 적용한 결과와 같은 우수한 세선화 결과를 얻으며 학습시간은 O((logM)$^3$)인 복잡도를 가진다.

The sparse vector method is more efficient than conventional sparse matrix method when solving sparse system. This paper considers the structural relation between factorized L and inverse of L and presents a new ordering algorithm for sparse vector method. The method is useful in enhancing the sparsity of the inverse of L while preserving the aparsity of matrix. The performance of algorithm is compared with conventional algorithms by means of several power system.

통계기반 기계번역 시스템 (SBMT system)은 기계번역시스템 중에서 최근 활발히 연구되고 있는 분야이다. 통계기반 기계번역은 대용량의 말뭉치를 사용할 수 있어 특정 언어 쌍에 제한을 덜 받아 모델을 자동으로 학습할 수 있으며 다른 언어에 일반화하여 적용이 가능하다는 장점이 있다. 그러나 영어와 한국어 간 통계기반 기계번역에 있어서는 어순의 차이로 인한 문제를 해결할 필요성이 여전히 남아 있다. 이에 본 연구에서는 영어와 한국어 간 이중언어 말뭉치를 구축하고 통계기반 기계번역 훈련 시스템인 Moses 에 기반하여 구현한 베이스 시스템을 이용하여 이중언어 간 어순처리 및 단어정렬의 최적화 방안을 연구하였다.

배달 플랫폼이 생기기 이전에는 소비자가 가게에 전화로 주문하면 가게에서 직접 고용한 라이더가 배달하거나 배달대행업체를 통해 배달했다. 하지만 외식문화가 발달함에 따라 배달 플랫폼이 성장하고 편리함을 추구하는 사람들이 늘어나 이제는 배달 플랫폼 없이 주문하는 경우를 보기 힘들어졌다. 이렇게 배달 플랫폼을 이용해 주문하면 라이더 부족 현상이 나타나고 공급을 위해 배달비가 점점 인상되는 악효과가 발생한다. 이에 우리는 현재 배달 시스템의 문제점 해결과 배달비 절감을 위한 공동 배달 채팅앱을 제안한다.

Before the delivery platform was established, when consumers ordered by phone to the store, a rider hired by the store directly delivered it or delivered it through a delivery agency. However, as the food service culture develops, delivery platforms grow and more people seek convenience, making it difficult to see orders without delivery platforms now. When ordering using the delivery platform in this way, there is a shortage of riders and a negative effect of increasing delivery costs for supply. Therefore, we propose a joint delivery chat app to solve the problems of the current delivery system and reduce delivery costs.