• Smart Structures and Systems
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• v.20 no.6
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• pp.769-780
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• 2017

Cable force monitoring is an essential and critical part of the safety evaluation of cable-supported bridges. A reasonable cable force monitoring scheme, particularly, sensor placement related to accurate safety assessment and budget cost-saving becomes a major concern of bridge administrative authorities. This paper presents optimal sensor placement for cable force monitoring by selecting representative sensor positions, which consider the spatial correlativeness existing in the cable group. The limited sensors would be utilized for maximizing useful information from the monitored bridges. The maximum information coefficient (MIC), mutual information (MI) based kernel density estimation, as well as Pearson coefficients, were all employed to detect potential spatial correlation in the cable group. Compared with the Pearson coefficient and MIC, the mutual information is more suitable for identifying the association existing in cable group and thus, is selected to describe the spatial relevance in this study. Then, the bond energy algorithm, which collects clusters based on the relationship of surrounding elements, is used for the optimal placement of cable sensors. Several optimal placement strategies are discussed with different correlation thresholds for the cable group of Nanjing No.3 Yangtze River Bridge, verifying the effectiveness of the proposed method.

• Journal of The Korea Institute of Healthcare Architecture
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• v.12 no.1
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• pp.49-59
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• 2006

According to the increase of demand for human organs such as kidney, heart, pancreas, joint, and cornea for therapeutic transplantation, the production of alternative organs based on Gnotobiotic Pigs gains a lot of concerns all over the world. However, it is not common to design and build Gnotobiotic Pigs' facility, and there are only a few those facilities and planning principles for them. Considering the situation above, this paper tries to develop planning guidelines for space organization and circulation system of standardized Germ Free Pig's facility on the bases of case analysis. The results of this study are as follows. At first, four swine farms including a Gntobiotic Pig's facility has been analysed from the point of space organization and circulation system. Secondly, the space zoning of Gnotobiotic Pigs' facility has been proposed into 5 groups : pigs' area, adminstration area, operating room and laboratory, service area, and mechanical area. Space components of each group have been presented also. Finally, circulation system of Gnotobiotic Pigs' facility has been explored from a operational point of view. This, also, includes human circulation, pig's circulation, and goods' circulation. This study has some limitations because it does not consider the SOPs(standard operational policies) of that facility to the fullest measure and does not suggest space area of each part, either. Despite of some weaknesses, it is expected that this study can give some useful guidelines for the design and planning of Germ Free Pigs' facilities.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.4 no.1
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• pp.191-200
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• 2000

The marine accident is being highlighted as a serious worldwide problem for the guard station of human safety and the protection of marine environment pollution. Especially, the GMDSS is operated as a international rule for the safety of a large scale ship, but the small size ship's management is required a adaptive national rule because of the complex condition of national circumstance. This study is motivated to develop a ship's position tracking system combined with GPS information for VTS and control the ship navigation, velocity and longitude etc.. In Part of Navigation Data Transmission is GPS data transmission whih ship's ID using microprocessor and TX speed translation for flexibility with 4800∼2400 [bps]. Results show that the our system for data transmission using microprocessor is useful tool in maritime transmission as SSB used the main TX method of small ship and has a cost competitive power. Therefore, we will expected cost and technical competitive power compared to AIS. But those systems are still remained the unsolved problem for protection from marine accident.. Finally, we examined the semi-actual receiving state on simulated sailing in the around sea of Mok-Po harbor.

• The KIPS Transactions:PartB
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• v.18B no.1
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• pp.21-28
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• 2011

A 3D face shape derived from 2D images may be useful in many applications, such as face recognition, face synthesis and human computer interaction. To do this, we develop a fast 3D Active Appearance Model (3D-AAM) method using depth estimation. The training images include specific 3D face poses which are extremely different from one another. The landmark's depth information of landmarks is estimated from the training image sequence by using the approximated Jacobian matrix. It is added at the test phase to deal with the 3D pose variations of the input face. Our experimental results show that the proposed method can efficiently fit the face shape, including the variations of facial expressions and 3D pose variations, better than the typical AAM, and can estimate accurate 3D face shape from images.

• The KIPS Transactions:PartD
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• v.15D no.1
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• pp.41-46
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• 2008

In ubiquitous computer environment, by improving the computer's access to context information for dynamic service adaptation, we can increase richness of communication in human computer interaction and make it possible to produce more useful computational services. We need new data structure in order to flexible apply dynamic information to current context information repository and enhance the communication ability between human and computer. In this paper, we proposed to C-A-V (Category-Attribute-Value) context metadata structure required to support dynamic service adaptation for increasing communication ability in user-centric environments. We also classify the context metadata, as well as define its relationship with other context information on the basis of the application services, changes in the external environments.

• The KIPS Transactions:PartD
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• v.16D no.3
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• pp.327-338
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• 2009

A microarray dataset is 2-dimensional dataset with a set of genes and a set of conditions. A bicluster is a subset of genes that show similar behavior within a subset of conditions. Genes that show similar behavior can be considered to have same cellular functions. Thus, biclustering algorithm is a useful tool to uncover groups of genes involved in the same cellular process and groups of conditions which take place in this process. We are proposing a polynomial time algorithm to identify functionally highly correlated biclusters. Our algorithm identifies 1) the gene set that has hidden patterns even if the level of noise is high, 2) the multiple, possibly overlapped, and diverse gene sets, 3) gene sets whose functional association is strongly high, and 4) deterministic biclustering results. We validated the level of functional association of our method, and compared with current methods using GO.

• The Transactions of the Korea Information Processing Society
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• v.5 no.3
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• pp.633-648
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• 1998

Rapid computing environment, change of the application structure, and various user demand will increase the demand of the software development. Version control is helpful to improve productivity using delta, and useful to establish component from existing data of source code. This paper presents the design and implementation of the version control system. which is composed of retrieval system and delta management system. In retrieval system, vanous retrieve methods arc proposed. This methods provides the process methodology with filename, content, size and date. Various retrieve methods arc important for the effective delta management. Meta data can be easily composed for the delta management by these methods. Compared with other systems, this implemented version control system has some advantage. First, for delta management, version maintenance for delta management becomes easier by integrating the forward and back-ward methods. Second, delta managent part of a project is to unite the forward and backward method. the effieiency of this system is to increased in management. Also, this system supports a thechnique of using the database and files for project repository and makes the version management more effective.

• The KIPS Transactions:PartB
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• v.12B no.4 s.100
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• pp.479-486
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• 2005

The ontology was proposed to construct the logical basis of semantic web. Ontology represents domain knowledge in the formal form and it enables that machine understand domain knowledge and provide appropriate intelligent service for user request. However, the construction and the maintenance of ontology requires large amount of cost and human efforts. This paper proposes an automatic ontology construction method for defining relation between concepts in the documents. The Proposed method works as following steps. First we find concept pairs which compose association rule based on the concepts in domain specific documents. Next, we find pattern that describes the relation between concepts by clustering the context between two concepts composing association rule. Last, find generalized pattern name by clustering the clustered patterns. To verify the proposed method, we extract relation between concepts and evaluate the result using documents set provide by TREC(Text Retrieval Conference). The result shows that proposed method cant provide useful information that describes relation between concepts.

• The KIPS Transactions:PartB
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• v.10B no.3
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• pp.297-304
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• 2003

Nowdays, with the explosive growth of the web information, web users Increase requests of systems which collect and analyze web pages that are relevant. The systems which were develop to solve the request were used clustering methods to improve the duality of information. Clustering is defining inter relationship of unordered data and grouping data systematically. The systems using clustering provide the grouped information to the users. So, they understand the information efficiently. We proposed a hybrid clustering method to cluster a large quantity of data efficiently. By that method, We generate initial clusters using COBWEB Algorithm and refine them using Ezioni Algorithm. This paper adds two ideas in prior hybrid clustering method to increment accuracy and efficiency of clusters. Firstly, we propose the clustering method considering weight of attributes of data. Second, we redefine evaluation functions which generate initial clusters to increase efficiency in clustering. Clustering method proposed in this paper processes a large quantity of data and diminish of dependancy on sequence of input of data. So the clusters are useful to make user profiles in high quality. Ultimately, we will show that the proposed clustering method outperforms the pervious clustering method in the aspect of precision and execution speed.

• The KIPS Transactions:PartD
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• v.11D no.6
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• pp.1277-1286
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• 2004

The concern and request of high-quality software has been increased according to the rapid transition of society to information-oriented era. Therefore activities of software quality management are regarded as serious as the activities of software development. Moreover, stakeholder of software may have various views of software quality. And some quality characteristics need to be managed with priorities in Software Development Life Cycle (SDLC). Hence we recognized that weights of quality characteristics might be useful to improve efficiency of quality management activities. However, this topic has not actively issued because its necessity and effectiveness has been ignored. This paper presents a technique to decide weights of software quality characteristics in SDLC. It is based on ISO/IEC 9126 which is the standard for software product quality. It is accomplished by questionnaires intended for stakeholder in software development and weight analysis through AHP (Analytic Hierarchical Process) method. Accordingly, it can select quality characteristics by weight in SDLC. And then it helps us to acquire high duality software through measuring software quality quantitatively and expecting the quality after completion of software development.