• International Journal of Contents
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• v.14 no.4
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• pp.24-29
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• 2018

EEG-based brain-computer interfaces has focused on explicitly expressed intentions to assist physically impaired patients. For EEG-based-computer interfaces to function effectively, it should be able to understand users' implicit information. Since it is hard to gather EEG signals of human brains, we do not have enough training data which are essential for proper classification performance of implicit intention. In this paper, we improve the subject independent classification of implicit intention through the generation of additional training data. In the first stage, we perform the PCA (principal component analysis) of training data in a bid to remove redundant components in the components within the input data. After the dimension reduction by PCA, we train ICA (independent component analysis) network whose outputs are statistically independent. We can get additional training data by adding Gaussian noises to ICA outputs and projecting them to input data domain. Through simulations with EEG data provided by CNSL, KAIST, we improve the classification performance from 65.05% to 66.69% with Gamma components. The proposed sample generation method can be applied to any machine learning problem with fewer samples.

• The Transactions of the Korea Information Processing Society
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• v.6 no.11
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• pp.2863-2874
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• 1999

Apartment auction is a system that is used for the citizens to get a house. This paper deals with the implementation of a web-based intelligent decision support system using OLAP technique and data mining technique for auction decision support. The implemented decision support system is working on a real auction database and is mainly composed of OLAP Knowledge Extractor based on data warehouse and Auction Data Miner based on data mining methodology. OLAP Knowledge Extractor extracts required knowledge and visualizes it from auction database. The OLAP technique uses fact, dimension, and hierarchies to provide the result of data analysis by menas of roll-up, drill-down, slicing, dicing, and pivoting. Auction Data Miner predicts a successful bid price by means of applying classification to auction database. The Miner is based on the lazy model-based classification algorithm and applies the concepts such as decision fields, dynamic domain information, and field weighted function to this algorithm and applies the concepts such as decision fields, dynamic domain information, and field weighted function to this algorithm to reflect the characteristics of auction database.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2017.11a
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• pp.185-186
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• 2017

Even large construction projects of nuclear power plant construction and production data is increasing dramatically due to the introduction of ICT technologies, such as 3D scanning technology, wireless communication technology, virtual construction management technology. There are various attributes and types of data to be produced and managed because the documents generated by the contract method are different from the cost processing method. According to the requirements of the international nuclear bid, it is required to present the cost that is calculated based on resource quantity. This research considers ways in which the cost management based on the resource quantity.

• Korean Journal of Construction Engineering and Management
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• v.19 no.1
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• pp.80-89
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• 2018

World Bank projects enable Korean engineering firms to enter new markets and diversify their portfolio. These firms need to understand the critical factors for bidding success in such projects. The World Bank publishes as open records all their bidding history data in their open database. This provides an opportunity to identify empirically the factors that determine which firms on chosen. This research collected relevant bid data, focusing on Indonesia, to perform a logistic regression with the goal of statistically identifying significant factors that result in bidding success. Results showed that work experience, being included in a consortium, and having a local partner positively affected winning a bid. On the other hand, having a local competitor of the recipient country negatively impacts the chances of attaining a bid. Commensurately, Korean engineering firms need to increase their work experience in internationally recognized projects, and include a local partner as a joint venture partner to increase their chances, while refrain from conventional projects that can be performed by local engineering firms.

• The Journal of the Korea Contents Association
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• v.9 no.8
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• pp.99-112
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• 2009

The research is to develop U-IT Technology Transfer Re-auction System Model for technology transfer enable transactions of buyer-oriented. The buyer sends condition technology parts and data informations to provider. The First step, The buyer sends condition technology parts and data informations to provider. The Second step, the buyer's technology and conditions in the First step will be transferred to the DB of a provider who can provide that technology. The Third step, a provider can bid after inputting the conditions. The Fourth step, the buyer decides the ranking of successful bids in condition-optimized auction process. The Fifth step, the buyer invites a provider to be a successful bidder. The last step, if there's no successful bid within the period, the sale considered failed. The buyer-oriented re-auction system is that the deal will become extinct automatically when its sale failed more than two times.

• Proceedings of the KIEE Conference
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• 2006.07a
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• pp.359-360
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• 2006

This paper introduces a variable of methodology and models of solving Security-Constrained Price-Based Unit Commitment(SPUC) Problems in the Deregulated Power Market. The objective of SPUC is coordination between GENCOs and the ISO. GENCOs apply Price-Based Unit Commitment(PBUC) without security constraints and submit capacity bids to the ISO for maximizing their revenues. Using generation data and transmission data obtained from TRANSCOs, the ISO applies Security-Constrained Unit Commitment(SCUC), executes congestion management and contingency analysis for minimizing line flow violations and the risk supplying loads. Considering analysis data, the ISO should adjust GENCOS' bid. In this paper, we presents the result of survey and analyze on the approach of the SPUC problem.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2013.10a
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• pp.202-204
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• 2013

Nowadays, owing to the development of hardware, most of enterprises should operate and manage bigger amount of data than they used to do in the past. For this reason, the enterprises ceaselessly and urgently need systemized tools, platforms, and analysis methodologies in order to collect, store, and handle explosively increasing data. In this paper, we firstly understand key elements of Big Data, and secondly define critical factors for Big Data application with these elements. Thirdly, we research on various analysis techniques for Big Data analysis. Lastly, we propose an infrastructure to analyze bid data.

• The Transactions of the Korea Information Processing Society
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• v.6 no.2
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• pp.459-466
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• 1999

I broadband ISDN every packet will show different result if it would be processed according to its usage by the server. That is, normal data won't show big differences if they would be processed at normal speed. But it will improve the quality of service to process some kinds of data - for example real time video or voice type data or some data for a bid to by something through the internet - more fast than the normal type data. solution for this problem was suggested - priority packets. But the analyses of them are under way. Son in this paper a switching system for an output queuing model in a single server was assumed and some packets were given priorities and analysed. And correlation, simulating real life situation, was given too. These packets were analysed through three cases, first packets having no correlation, second packets having only correlation and finally packets having priority three cases, first packets having no correlation, second packets having only correlation and finally packets having priority and correlation. The result showed that correlation doesn't affect the mean delay time and the high priority packets have improved mean delay time regardless of the arrival rate. Those packets were assumed to be fixed-sized like ATM fixed-sized cell and the contention strategy was assumed to be short bus contention method for the output queue, and the mean delay length and the maximum 버퍼 length not to lose any packets were analysed.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.33 no.6
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• pp.2575-2582
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• 2013

In the delivery systems for public construction works, design-build methods such as turn-key and alternative have contributed to improving the quality of structures and developing the construction technology. However, it is pointed out that construction based on a design-build method is likely to waste a budget due to its higher contract price than construction based on a design-bid-build method. Other issues such as contract monopoly, bid rigging and deliberation irregularity in design-build. Since there are not much works have been accomplished to comparatively analyze the actual performance and effect based on delivery methods, discussing and judging the performance and effect of each deliver method with limited information could lead to an error. Thus, this study by extensively investigates the actual project cost data, ranging from contract price to the construction cost of the public construction works and comparatively analyzed the characteristics of each delivery method about cost structure and fluctuation trend. This work is expected to assist stake-holders in properly understanding delivery systems for public construction works and promoting their efficient management.

• Journal of the Korean housing association
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• v.23 no.2
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• pp.89-98
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• 2012

As the construction of multi-family housings, especially apartments, has been increased since 1970s, the multi-family housing becomes one of the main housing types in Korea. With the increase of multi-family housings, managing them becomes an important issue. Since 2010, the government has made a lowest price award system by a competitive bid compulsory to promote the development of housing management systems. Although competitive bids were implemented, the maintenance company was finally selected by the price without any other consideration. Consequently, the quality of management service was not enhanced. The purpose of this study is to suggest the improvement scheme of multi-family housing management system. In this study, the bidding data of "K-apt", the bidding method and the successful tendered price are analyzed. The results of analyzing bidding materials, the proportion of applying a lowest price system was 67.7%. Also many diverse ways to select the best management company were used, but most of these ways were violate the law and guidelines of Ministry of Land, Transport and Maritime Affairs. It meant that the lowest price award system was not implemented by strict standards and didn't correspond with the needs of residents of apartment. This condition made the housing maintenance quality low and deteriorated the management industry development. To enhance this condition, a new standard to select the management company, which are included contents of quality of managing quality, management expenses and companies' soundness, is necessary.