• Journal of the Korean Data and Information Science Society
• /
• v.6 no.1
• /
• pp.105-110
• /
• 1995

In this paper, we shall convey preservation of some partial orderings and closures of some positive ageing classes under k-out-of-n systems of like components. That is, if the life time of a component A is larger than that of a component B in any of the NBU, DMRL, NBUE, HNBUE, NBUFR and NBUFRA orderings, then a k-out-of-n system formed by i.i.d.. components of type A has larger life time, in that ordering, than that of a similar system consisting of n i.i.d. components type of B. And using these partial orderings, closures of positive aging classes(NBU, DMRL, NBUE, HNBUE, NBUFR and NBUFRA) under the coherent system like components.

• Communications for Statistical Applications and Methods
• /
• v.30 no.2
• /
• pp.191-213
• /
• 2023

Unit distributions are frequently used in probability theory and statistics to depict meaningful variables having values between zero and one. Using convenient transformation, the unit inverse exponentiated weibull (UIEW) distribution, which is equally useful for modelling data on the unit interval, is proposed in this study. Quantile function, moments, incomplete moments, uncertainty measures, stochastic ordering, and stress-strength reliability are among the statistical properties provided for this distribution. To estimate the parameters associated to the recommended distribution, well-known estimation techniques including maximum likelihood, maximum product of spacings, least squares, weighted least squares, Cramer von Mises, Anderson-Darling, and Bayesian are utilised. Using simulated data, we compare how well the various estimators perform. According to the simulated outputs, the maximum product of spacing estimates has lower values of accuracy measures than alternative estimates in majority of situations. For two real datasets, the proposed model outperforms the beta, Kumaraswamy, unit Gompartz, unit Lomax and complementary unit weibull distributions based on various comparative indicators.

• Proceedings of the Korean Institute Of Construction Engineering and Management
• /
• 2007.11a
• /
• pp.925-928
• /
• 2007

As the field report data does not normalize, ordering organization requires different form every time and field reporters make out form as random, data and report to the ordering organization by different medium such as FAX, e-mail, paper document. Therefore, Field reporters must set and make out same information in required pattern. And ordering organization is being responsible for side works of totalizing and processing the reported data. This research suggests the electronic document unification about monthly construction progress report and construction present condition report system. In addition, it suggests electronically processing function that can handle field report business to unifying electronic documents. As using the result of this research, it will improve the work efficiency and simplify in report business.

• Proceedings of the Korean Institute Of Construction Engineering and Management
• /
• 2007.11a
• /
• pp.704-709
• /
• 2007

The purpose of this study is to present both problems and improvement plans on the bidding system of the Korea National Housing Corporation, which orders apartment houses professionally. For data gathering, this study used data from electronic procurement system from 2001 to 2005. The research method of this study is to analyze the data categorized into four types: changes of ordering and contract price ration, the lowest-pricing bidding system, and permanent projects by grades. As a result of the analysis, the amount of ordering is biased in favor of particular level. Finally, this study present following improvement plans: 1) screening system and the lowest-pricing bidding system need to be supplemented, 2) the contract price ratio and the amount of ordering should be controlled, and 3) the improvement of PQ and the introduction of the list of Qualified companies by types need to be presented.

• Journal of Information Processing Systems
• /
• v.9 no.2
• /
• pp.217-236
• /
• 2013

Ranking thousands of web documents so that they are matched in response to a user query is really a challenging task. For this purpose, search engines use different ranking mechanisms on apparently related resultant web documents to decide the order in which documents should be displayed. Existing ranking mechanisms decide on the order of a web page based on the amount and popularity of the links pointed to and emerging from it. Sometime search engines result in placing less relevant documents in the top positions in response to a user query. There is a strong need to improve the ranking strategy. In this paper, a novel ranking mechanism is being proposed to rank the web documents that consider both the HTML structure of a page and the contextual senses of keywords that are present within it and its back-links. The approach has been tested on data sets of URLs and on their back-links in relation to different topics. The experimental result shows that the overall search results, in response to user queries, are improved. The ordering of the links that have been obtained is compared with the ordering that has been done by using the page rank score. The results obtained thereafter shows that the proposed mechanism contextually puts more related web pages in the top order, as compared to the page rank score.

• KIISE Transactions on Computing Practices
• /
• v.24 no.1
• /
• pp.40-45
• /
• 2018

With the advent of big data and social networks, large-scale graph processing becomes popular research topic. Recently, an optimization technique called Gorder has been proposed to improve the performance of in-memory graph processing. This technique improves performance by optimizing the graph layout on memory to have better cache locality. However, since it is designed for in-memory graph processing systems, the technique is not suitable for disk-based graph engines; also the cost for applying the technique is significantly high. To solve the problem, we propose a new graph ordering called I/O Order. I/O Order considers the characteristics of I/O accesses for SSDs and HDDs to improve the performance of disk-based graph engine. In addition, the algorithmic complexity of I/O Order is simple compared to Gorder, hence it is cheaper to apply I/O Ordering. I/O order reduces the cost of pre-processing up to 9.6 times compared to that of Gorder's, still its performance is 2 times higher compared to the Random in low-locality graph algorithms.

• The Transactions of the Korea Information Processing Society
• /
• v.6 no.8
• /
• pp.2158-2170
• /
• 1999

It has been required more reliable communication on processes and improvement of system performance as distributed systems using multicast protocol became widespread. In distributed environment maintaining data consistency through asynchronous execution of processes and coordinating the activities of them would occurs. This paper proposes a total ordering algorithm, TORMP, in order to resolve these problems. TORMP takes advantage of multicast protocol and uses an effective token passing method. It reduces a process delaying time before transmitting its message by multicasting a token simultaneously to every process that initiates the request of the message. Moreover, the processes receiving the token start multicasting the message at the same time, which causes to cut down the overall transmission dely. In case that one process sends a message, TORMP hardly uses the procedure of controlling for ordering. It gives fairly the right of sending messages to all processes in a group with utilizing vector clock. In TORMP, unlike other algorithms, the number of packets generated during ordering process does not depend on the number of processes.

• The Korean Journal of Applied Statistics
• /
• v.30 no.6
• /
• pp.889-899
• /
• 2017

Independent component analysis is a multivariate approach to separate mixed signals into original signals. It is the most widely used method of blind source separation technique. ICA uses linear transformations such as principal component analysis and factor analysis, but differs in that ICA requires statistical independence and non-Gaussian assumptions of original signals. PCA have a natural ordering based on cumulative proportion of explained variance; howerver, ICA algorithms cannot identify the unique optimal ordering of the components. It is meaningful to set order because major components can be used for further analysis such as clustering and low-dimensional graphs. In this paper, we compare the performance of several criteria to determine the order of the components. Kurtosis, absolute value of kurtosis, negentropy, Kolmogorov-Smirnov statistic and sum of squared coefficients are considered. The criteria are evaluated by their ability to classify known groups. Two types of data are analyzed for illustration.

• Journal of the Korea Institute of Military Science and Technology
• /
• v.14 no.5
• /
• pp.812-817
• /
• 2011

In this paper, we propose new data association method called the Highest Probability Data Association with Limited Measurement Numbers(HPDA-LIMN) using a Signal Itensity Ordering method applied to tracking in clutter environment. The performance of HPDA-LIMN algorithm is tested in a series of Monte Carlo simulations runs and is compared with the exiting data association method in cluttered environment.

• Proceedings of the KSR Conference
• /
• 2008.11b
• /
• pp.1999-2004
• /
• 2008

This study is about to constructing BOM for managing and integrating information, which is drawing, technical data, attribution, design, ordering, cost, weight, process, service, etc. based on train's system, elements, substructure, assembly, components, parts during whole train's lifetime of the next generation. The BOM is the mostly basic structure information as hierarchical data what are parts consisted specific products. The BOM was utilized as essential elements for collectively managing through informing all of the business activity from ordering to supplying. The BOM in railroad is consist of two parts. One is Engineering BOM for design, the other is Production BOM for production, which are utilized in development calculating the quantity of materials. Also the Maintenance BOM is applied to suppling parts and managing malfunction in railroad corporation like the Seoul Metro. There are many kind of BOMs, because of the special character for each step. Therefore We have need to develop BOM which is able to integrate drawing, technical data for helping good circulation between RAMS applied maintenance using database and helpful know-how for development and production. Also the BOM of the next generation must be consisted regard to whole life-cycle.