• Solar Energy
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• v.18 no.3
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• pp.31-39
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• 1998

Selection of a right weather data set has been considered as one of important factors for a successful building energy audit process. A set of 30 year raw weather data base for six major cities has been developed to provide the weather data file for building energy audit and retrofit analysis in Korea. The program named as KWDP(KIER Weather Data Processor) uses the DB to produce a right data set for a specific building energy performance simulation program like DOE2.1E. A program called WMAKE has been developed to generate the right set of input parameters for DOE2.1E weather utility program. The set of the programs could provide the right weather data for specific building energy audit and retrofit analysis.

• Convergence Security Journal
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• v.17 no.2
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• pp.119-126
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• 2017

Although the data service of the digital broadcasting has been regarded as the representative service of the broadcasting and communication convergence, it, however, has failed to gain the popularity with the viewers due to the viewer's viewing modality of focusing only on the TV programs. Based on the experts' opinions that the data service should step up so that using a data service while watching a TV program creates a synergy effect, the paper proposes a method for allowing a data service to utilize the information of a TV program. The method has a tool for describing the information of a TV program's content, which changes as time goes on and provides a mechanism for transmitting the information in the way compatible to the digital broadcasting standard. As an application of the method, with a domestic data service developing company, we have developed a ticker data service that shows the information (e.g., actors, places, sponsors, etc.) of a drama.

• Journal of Korea Multimedia Society
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• v.3 no.5
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• pp.550-556
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• 2000

This paper comes to derive optimal decision rule from incomplete information using the concept of indiscernibility relation and approximation space in Rough set. As there may be some errors in case that processing information contains multiple or missing data, the method of removing or minimizing these data is required. Entropy which is used to measure uncertainty or quantity in information processing field is utilized to remove the incomplete information of rough relation database. But this paper does not always deal with the information system which may be contained incomplete information. This paper is proposed object relation entropy and attribute relation entropy using Rough set as information theoretical measures in order to remove the incomplete information which may contain condition attribute and decision attribute of information system.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2023.05a
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• pp.152-153
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• 2023

AIS has been widely used for maritime traffic assessment for its convenience. However, AIS has problems with position missing due to radio interference and transmission distance limit. On the other hand, satellite radar determines the location of ships over a wide sea regardless of the problems. This study proposes a noble method of stepwise threshold determination to detect ships from Sentinel-1. The proposed method is up to 25 times faster than the existing moving window-based threshold determination method, and the detection accuracy is similar.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.3
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• pp.231-242
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• 2019

The aim of this study was the relationship between smoking, alcohol drinking and vitamin D level among Korean adults using data from the '6th(2013-2014) Korean National Health and Nutrition Examination Survey'. The data used in this study were analyzed for 3,565 people who were over the age of 19 ages and checked vitamin D level and consumption frequencies of vitamin D rich foods among 15,568 respondents to the '6th(2013-2014) Korean National Health and Nutrition Examination Survey'. The subjects were divided into four groups: None group(non-smoking and non-alcohol drinking), smoking only group, alcohol drinking only group and both group (smoking and alcohol drinking). The mean serum vitamin D level of the subjects was $16.5{\pm}0.20ng/mL$ and 73.5% of vitamin D levels were insufficient and deficiency. The results from hierarchical multiple logistic regression showed that the Odds ratio for insufficient vitamin D due to smoking and alcohol drinking were significantly higher in the smoking only group 2.281(95% CI 1.080-4.817)times and both group 1.356(95% CI 1.010-1.922)times than none group. Our results showed the relationship between smoking, alcohol drinking and vitamin D level was significant in Korean adults. Future studies, such as a more systematic cohort study investigating the relationship between smoking, alcohol drinking and vitamin D level may be helpful in confirming the causal relationship between smoking, alcohol drinking and vitamin D level.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.19 no.5
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• pp.1151-1156
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• 2015

In this study, the accuracy duplication and register rate of the vaccination registration data in National Immunization Registry Information System were evaluated and analyzed. Through which undocumented vaccination status data, duplicate data, missing data, errors data into the vaccination registration data were analyzed. In addition, the quality control for the vaccination registration database quality improvement, were proposed for standard error checking. In this paper, we propose an efficient validation of a quality management system of the database.

• Journal of KIISE:Information Networking
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• v.29 no.2
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• pp.141-155
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• 2002

A medium access control protocol is proposed for integrated voice and data services in the packet CDMA network with a small coverage. Uplink channels are composed of time slots and multiple spreading codes for each slot. This protocol gives higher access priority to the delay-sensitive voice traffic than to the data traffic. During a talkspurt, voice terminals reserve a spreading code to transmit multiple voice packets. On the other hand, whenever generating a data packet, data terminals transmit a packet based on the status information of spreading codes in the current slot, which is received from base station. In this protocol, voice packet does not come into collision with data packet. Therefore, this protocol can increase the maximum number of voice terminals.

• The Korean Journal of Applied Statistics
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• v.32 no.3
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• pp.451-462
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• 2019

Document-term frequency matrix is a type of data used in text mining. This matrix is often based on various documents provided by the objects to be analyzed. When analyzing objects using this matrix, researchers generally select only terms that are common in documents belonging to one object as keywords. Keywords are used to analyze the object. However, this method misses the unique information of the individual document as well as causes a problem of removing potential keywords that occur frequently in a specific document. In this study, we define data that can overcome this problem as proximity data. We introduce twelve methods that generate proximity data and cluster the objects through two clustering methods of multidimensional scaling and k-means cluster analysis. Finally, we choose the best method to be optimized for clustering the object.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.41 no.3
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• pp.247-255
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• 2021

Individual passenger transfer information is not included in Seoul metropolitan subway Automatic Fare Collection (AFC) data. Currently, basic data such as travel time and distance are allocated based on the TagIn terminal ID data records of AFC data. As such, knowledge of the actual path taken by passengers is constrained by the fact that transfers are not applied, resulting in overestimation of the transport index. This research proposes a method by which a transit path that connects the TagIn and TagOut terminal IDs in AFC data is determined and applied to the transit index. The method embodies the concept that a passenger's line of travel also accounts for transfers, and can be applied to the transit index. The path selection model for the passenger calculates the line of transit based on travel time minimization, with in-vehicle time, transfer walking time, and vehicle intervals all incorporated into the travel time. Since the proposed method can take into account estimated passenger movement trajectories, transport-related data of each subway organization included in the trajectories can be accurately explained. The research results in a calculation of 1.47 times the values recorded, and this can be evaluated directly in its ability to better represent the transportation policy index.

• Journal of the Korea Society of Computer and Information
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• v.26 no.12
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• pp.143-150
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• 2021

In the recent power industry, a change is taking place from manual meter reading to remote meter reading using AMI(Advanced Metering Infrastructure). If such the power data generated from the AMI is recorded on the blockchain, integrity is guaranteed by preventing forgery and tampering. As data sharing becomes transparent, new business can be created. However, Ethereum blockchain is not suitable for processing large amounts of transactions due to the limitation of processing speed. As a solution to overcome such the limitation, various On/Off-Chain methods are being investigated. In this paper, we propose a interface server using data sharding as a solution for storing large amounts of power data in Etherium blockchain environments. Experimental results show that our power-data processing system with sharding method lessen the data omission rate to 0% that occurs when the transactions are transmitted to Ethereum and enhance the processing speed approximately 9 times.