• Journal of the Korea Society of Computer and Information
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• v.17 no.10
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• pp.129-136
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• 2012

We devise data conversion methods and implement schema mapping and conversion system based on the study on research paper metadata characteristics analysis. Data conversion in unified form from databases of various systems is necessary for big data analysis. Legacy data conversion systems have drawbacks of syntax dependent problem and inconvenience for use. The implemented system, which is specialized system for research paper metadata, has easy schema mapping interface and can convert data with various syntax. In addition to that, Recompiling of the system is not necessary even if new schema which is not preregistered in the system comes in. We proved its usefulness by usability evaluation.

• ETRI Journal
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• v.36 no.1
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• pp.134-140
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• 2014

Many reports have shown that the access pattern for geospatial tiles follows Zipf's law and that its parameter ${\alpha}$ represents the access characteristics. However, visits to geospatial tiles have temporal and spatial popularities, and the ${\alpha}$-value changes as they change. We construct a mathematical model to simulate the user's access behavior by studying the attributes of frequently visited tile objects to determine parameter estimation algorithms. Because the least squares (LS) method in common use cannot obtain an exact ${\alpha}$-value and does not provide a suitable fit to data for frequently visited tiles, we present a new approach, which uses a moment method of estimation to obtain the value of ${\alpha}$ when ${\alpha}$ is close to 1. When ${\alpha}$ is further away from 1, the method uses the associated cache hit ratio for tile access and uses an LS method based on a critical cache size to estimate the value of ${\alpha}$. The decrease in the estimation error is presented and discussed in the section on experiment results. This new method, which provides a more accurate estimate of ${\alpha}$ than earlier methods, promises more effective prediction of requests for frequently accessed tiles for better caching and load balancing.

• Journal of the Institute of Electronics and Information Engineers
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• v.54 no.7
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• pp.36-46
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• 2017

The turbo code, an error correction code, needs a long decoding time since the same decoding process must be repeated several times in order to obtain a good BER performance. Thus, parallel processing may be used to reduce the decoding time, in which case there may be a memory contention that requires additional buffers. The QPP interleaving has been proposed to avoid such case, but there is still a possibility of memory contention when a decoder is constructed using the so-called double flow technique. In this paper, we propose an even-odd cross mapping technique to avoid memory conflicts even in decoding using the double-flow technique. This method uses the address generation characteristic of the QPP interleaving and can be used to implement the interleaving circuit between the decoding blocks and the LLR memory blocks. When the decoder implemented by applying the double flow and the proposed methods is compared with the decoder by the conventional MDF techniques, the decoding time is reduced by up to 32% with the total area increase by 8%.

• The Journal of the Korea institute of electronic communication sciences
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• v.7 no.2
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• pp.391-399
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• 2012

This paper proposes a particle filter approach for SLAM(Simultaneous Localization and Mapping) of a mobile robot. The SLAM denotes estimation of both the robot location and map while the robot navigates in an unknown environment without map. The proposed method estimates robot location simultaneously with the locations of the ultrasonic beacons which constitute landmarks for navigation. The particle filter method represents the locations of the robot and landmarks in probabilistic manner by the distribution of particles. The method takes care of the uncertainty of the landmarks' location as well as that of the robot motion. Therefore, the locations of the landmarks are updated including uncertainty at every sampling time. Performance of the proposed method is verified through simulation and experiments. The method yields practically useful mapping information even if the range data from the landmarks include random noise. Also, it provides more accurate and robust estimation of the robot location than the usual least squares methods or dead-reckoning method.

• Korean Journal of Health Education and Promotion
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• v.28 no.5
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• pp.145-160
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• 2011

Objectives: This study attempted to apply the Intervention mapping and Transtheoretical models to develop a program to promote moderate alcohol drinking in university students. Methods: Surveyed data from 1,137 university students were analyzed to identify personal and environmental determinants for alcohol drinking. Based on these determinants, program objectives were established. Crossing the objectives with related important determinants resulted in matrices of learning objectives for which educational strategies were developed. Subsequently, an intervention program were designed to achieve those objectives. Results: Identified personal determinants included awareness, attitudes, self-efficacy and behavioral skills. Environmental determinants were binge drinking behaviors of family members and peers, and social pressure for drinking. Program, impact and learning objectives were developed to change the identified determinants. Program activities included provision of information on positive and negative consequences of binge drinking, opportunities for assessing one's drinking pattern, increasing outcome expectancies of and skill building for monitoring drinking, resisting peer pressure and managing stress. To facilitate adoption and maintenance of the program, an intervention diffusion plan was suggested. An evaluation plan was developed by utilizing RE-AIM framework. Conclusions: In order to expand evidence bases for effective theory-based programs, the developed program should be tested in diverse university settings.

• Journal of Korean Society for Geospatial Information Science
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• v.13 no.1 s.31
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• pp.45-53
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• 2005

Korea is formed a mountainous district at 70% of country. Damages are occurred by landslide. It is increased annually by industrial development and extension of urban area. Serious damages occurred in Kangreng area of Gangwondo by typoon Rusa in August, 2002. Landslide hazard mapping needs to forecast and to manage landslide hazard area. GIS fits landslide hazard mapping, to reduce of time, manpower and costs, to investigate a board area, to do a spatial forecast model in study site. Variety of methods is for landslide hazard mapping. A study use root strength reinforcement model. This model use factors such as topography of slope, soil depth, soil properties, and vegetation of slope. Landslide hazard map is made by this model.

• The KIPS Transactions:PartD
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• v.19D no.1
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• pp.81-94
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• 2012

FORM(Feature-Oriented Reuse Method) is one of representative product line engineering methods. The essence of FORM is the FORM architecture models, which can be reused in the development of multiple products of a software product line. The FORM architecture models, however, have the following problems when applied in practice. First, they are not standardized models like UML(Unified Modeling Language) and therefore they can be constructed only through a specific modeling tool. Second, they do not represent architectural variability explicitly. Instead their variability is only managed through a mapping from a feature model. To address these two problems, we developed at first a method for representing the FORM architecture models using UML, which enables the FORM architecture models to be constructed through various available UML modeling tools. Also, we developed an effective method for representing as well as managing the variability of the FORM architecture models through a mapping from a feature model.

• Journal of KIISE:Computing Practices and Letters
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• v.8 no.5
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• pp.510-519
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• 2002

The OpenGIS Consortium has proposed a new web-mapping technology to support interoperability in web GIS environment by developing the specifications of MapServer and GML. In this environment, the MapServer transforms legacy spatial data into GML data, and clients display them on standard web browsers. This web-mapping testbed proposes methods for discovering, accessing, integrating and displaying GIS information except processing of spatial operations which are essential services in GIS environment. This paper proposes the method for executing spatial operations on GML data which are overlays of different map layers in legacy data servers. To support spatial operations on GML data in web GIS environment, this paper designs and implements GDOM based on the W3C's DOM Specifications and OGC's Simple Features Specifications. This paper shows the specifications and implementation of GDOM and the process of spatial operations in web-mapping testbed environment.

• Investigative Magnetic Resonance Imaging
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• v.23 no.3
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• pp.228-240
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• 2019

Purpose: The aim of this study is to evaluate the T2 value of the articular cartilage of the glenohumeral joint in rotator cuff disease displayed on 3.0T MRI and to apply it in clinical practice. Materials and Methods: This study involved sixty-two patients who underwent shoulder MRI containing T2 mapping. The mean T2 value was measured by placing a free hand ROI over the glenoid or humeral cartilage from the bone-cartilage interface to the articular surface on three consecutive, oblique coronal images. The drawn ROI was subsequently divided into superior and inferior segments. The assessed mean T2 values of the articular cartilage of the glenohumeral joint were compared and evaluated based on the degree of rotator cuff tear, the degree of fatty atrophy of the rotator cuff, and the acromiohumeral distance. Results: ICC values between two readers indicated moderate or good reproducibility. The mean T2 value for the articular cartilage of the glenoid and humeral head cartilage failed to show any significant difference based on the degree of rotator cuff tear. However, the mean T2 values of articular cartilage, based on fatty atrophy, tended to be higher in fatty atrophy 3 or fatty atrophy 4 groups while some subregions displayed significantly higher mean T2 values. There was no correlation between the acromiohumeral distance and the mean T2 values of the articular cartilage of the glenoid and humeral head. Conclusion: T2 mapping of the glenohumeral joint failed to show any significant difference in quantitative analysis of the degenerative change of the articular cartilage based on the degree of rotator cuff tear. However, it also offers quantitative information on the degenerative change of cartilage of the glenohumeral joint in patients with rotator cuff tear and severe fatty atrophy of the rotator cuff.

• Journal of the Korea Convergence Society
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• v.12 no.3
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• pp.53-59
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• 2021

When using Medical Information Retrieval services, a typical retrieval method is to use the Anatomic Therapyutic Chemical Classification (ATC) code. Traditional ATC code-based medical information retrieval is very useful for single ingredient product retrieval with single ingredient. However, in the case of complex, retrieval errors often occur. The cause of this problem is that ATC code-based retrieval proceeds by pattern matching ATC code.In this work, we design the mapping scheme based on ATC code by analyzing the requirement scenarios for retrieval based on main ingredient in ATC code-based retrieval. the mapping scheme based on ATC is a schema that stores the ATC code of the complex and all the ATC code of the single agent included in the complex. ATC code-based retrieval using this schema retrieves a complex as ingredient of a single ingredient product, thus having higher accuracy than existing methods. the mapping scheme based on ATC is expected to increase the efficiency of doctors' prescription of patients and increase the accuracy of drug safety use services.