• Journal of the Korea Institute of Information and Communication Engineering
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• v.23 no.10
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• pp.1179-1187
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• 2019

In today's technology environment, most big data-based applications and solutions are based on real-time processing of streaming data. Real-time processing and analysis of big data streams plays an important role in the development of big data-based applications and solutions. In particular, in the maritime data processing environment, the necessity of developing a technology capable of rapidly processing and analyzing a large amount of real-time data due to the explosion of data is accelerating. Therefore, this paper analyzes the characteristics of NiFi, Kafka, and Druid as suitable open source among various open data technologies for processing big data, and provides the latest information on external linkage necessary for maritime service analysis in Korean e-Navigation service. To this end, we will lay the foundation for applying open data framework technology for real-time data processing.

• KIISE Transactions on Computing Practices
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• v.22 no.7
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• pp.303-309
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• 2016

Recently, an increasing number of embedded processors such as ARM Mali begin to support GPGPU programming frameworks, such as OpenCL. Thus, GPGPU technologies that have been used in PC and server environments are beginning to be applied to the embedded systems. However, many embedded systems have different architectural characteristics compare to traditional PCs and low-power consumption and real-time performance are also important performance metrics in these systems. In this paper, we implement a parallel AES cryptographic algorithm for a modern embedded GPU using OpenCL, a standard parallel computing framework, and compare performance against various baselines. Experimental results show that the parallel GPU AES implementation can reduce the response time by about 1/150 and the energy consumption by approximately 1/290 compare to OpenMP implementation when 1000KB input data is applied. Furthermore, an additional 100 % performance improvement of the parallel AES algorithm was achieved by exploiting the characteristics of embedded GPUs such as removing copying data between GPU and host memory. Our results also demonstrate that higher performance improvement can be achieved with larger size of input data.

• Journal of Korean Society for Geospatial Information Science
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• v.17 no.1
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• pp.167-174
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• 2009

A Tile Map Service is a regular map service that has been enhanced to serve maps very quickly using a cache of static images. The map cache is a directory that contains image tiles of a map extent at specific scale levels. Returning a tile from the cache takes the server much less time than drawing the map image on demand. Use of a Tile Map Service can dramatically improve the time that clients take to display complex base-maps. Using Tile Map Services thus eliminate the need to trade quality for performance. This study provides a way to construct Tile Map Service System using Open Source GIS. We used GDAL(Geospatial Data Abstraction Library) which is one of the Open Source GIS Softwares to make Tile Map Image and OpenLayers to publish Web Page. Moreover, We conducted a performance test on Tile Map System and Dynamic Map System and evaluated the results of it. As a result, the proposed method makes it easier to construct high performance Tile Map Service using Open Source GIS without commercial products.

• Smart Media Journal
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• v.12 no.7
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• pp.59-67
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• 2023

Recently, research on behavior analysis tracking human posture and movement has been actively conducted. In particular, OpenPose, an open-source software developed by CMU in 2017, is a representative method for estimating human appearance and behavior. OpenPose can detect and estimate various body parts of a person, such as height, face, and hands in real-time, making it applicable to various fields such as smart healthcare, exercise training, security systems, and medical fields. In this paper, we propose a method for classifying four exercise movements - Squat, Walk, Wave, and Fall-down - which are most commonly performed by users in the gym, using OpenPose-based deep learning models, DNN and CNN. The training data is collected by capturing the user's movements through recorded videos and real-time camera captures. The collected dataset undergoes preprocessing using OpenPose. The preprocessed dataset is then used to train the proposed DNN and CNN models for exercise movement classification. The performance errors of the proposed models are evaluated using MSE, RMSE, and MAE. The performance evaluation results showed that the proposed DNN model outperformed the proposed CNN model.

• Journal of Family Resource Management and Policy Review
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• v.22 no.3
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• pp.1-19
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• 2018

This study was aimed at exploring gender differences in time use and time famine between single-parent families. Data were obtained from the time use surveys, that were conducted by the Korea National Statistical Office in 2014. A total of 500 time diaries (168 from fathers, 332 from mothers) from single-parents aged between 20 and 59 were analyzed. Descriptive statistics, chi-square test, and t-test were used for the statistical analyses. Results indicated that the single-parent families exhibit gender differences in time use and subjective time famine. The single-mothers spend a significantly longer amount of time on housework and less time on leisure than do the single-fathers. The single fathers and mothers also differ in time use and time famine according to employment status and working days on/off.

• Communications for Statistical Applications and Methods
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• v.21 no.6
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• pp.471-486
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• 2014

This study introduces a new type of symbolic data, a candle chart-valued time series. We aggregate four stock indices (i.e., open, close, highest and lowest) as a one data point to summarize a huge amount of data. In other words, we consider a candle chart, which is constructed by open, close, highest and lowest stock indices, as a type of symbolic data for a long period. The proposed candle chart-valued time series effectively summarize and visualize a huge data set of stock indices to easily understand a change in stock indices. We also propose novel approaches for the candle chart-valued time series modeling based on a combination of two midpoints and two half ranges between the highest and the lowest indices, and between the open and the close indices. Furthermore, we propose three types of sum of square for estimation of the candle chart valued-time series model. The proposed methods take into account of information from not only ordinary data, but also from interval of object, and thus can effectively perform for time series modeling (e.g., forecasting future stock index). To evaluate the proposed methods, we describe real data analysis consisting of the stock market indices of five major Asian countries'. We can see thorough the results that the proposed approaches outperform for forecasting future stock indices compared with classical data analysis.

• Journal of Family Resource Management and Policy Review
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• v.19 no.4
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• pp.141-161
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• 2015

The purpose of this study was to explore the differences in time perspective by socio-demographic variables and to investigate the effect of time perspective on time management and life satisfaction for college students. Questionnaires including time perspective, time management, and life satisfaction scales were used for this study. The survey data from 382 college students were analyzed by frequency, percentage, mean, standard deviation, t-test, ANOVA, Duncan test, Pearson's correlation analysis, and stepwise regression. The time perspective, composed of four factors future insensibility and present, past, and future orientation, differed according to the sex, academic grade, and specialty of the college students. The time perspective of the college students and the socioeconomic status of their households were investigated as effective variables on time management and life satisfaction. Based on these results, the implications for research and policy on the time perspective of college students were discussed.

• KIEAE Journal
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• v.3 no.3
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• pp.59-66
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• 2003

From an sustainable perspective, one unique characteristic of Open Housing is its ability to individualize variable elements (infill) from the permanent elements (support) in accordance with the residents' needs. Such environment-friendly elements of Open Housing can contribute to increasing the life span of the building, reducing the scope of reconstruction, and minimizing the amount of disposed building materials during demolition. The purpose of this research is to analyze the flexibility concept from a typological perspective, so that the concept of open housing can be better understood and its development can be promoted. The main method of this study was content analysis. Based on literature review of flexibility concept in a typological approach, a primary categories were established to describe the flexibility concept such as time for flexibility, scope, and the degree of openness. Subsequently each criterion was elaborated as follows: planning, supply, and utility in the time stage; internal and external flexibility in its scope; and fixed, semi-free, and free flexibility in its openness degree. This research exposes the lack of comprehensive knowledge of Open Housing caused by rather uniform features of previous studies. This research establishes and promotes a systematic approach for a more holistic meaning of Open Housing. This approach should contribute to the proper utilization and further development of sustainable housing.

• Proceedings of the Korean Society of Propulsion Engineers Conference
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• 2011.11a
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• pp.842-849
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• 2011

Open Rotor Engine is one of the several new technologies offering potential solution for the next generation aircraft. The coupling of ultra high bypass ratio and aerodynamically advanced fan blade design allow the open rotor engine to achieve and advantage in fuel consumption. The open rotor engine does have more thrust lapse than the general high bypass turbofan. The open rotor engine performance model was analyzed using a reference data based on the GE36 which was designed and tested data at which time a F404 turbojet was used as the core. The performance model of open rotor engine was verified by referred test data and was evaluated to be properly constructed, through the comparison of recent Next generation turboprop engine performance.

• Journal of Information Technology Services
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• v.5 no.1
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• pp.149-164
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• 2006

The companies are trying to apply to software development approach by utilizing open-source components. The open-source components are new alternatives to solve limits of the previous software developments such as quality of software, time and cost of development. Accordingly, various analysis of open-source components were performed. However, the researches about the detailed procedures and methods to utilize open-source components in practical industry are immature. In this paper, we propose the procedures and cases for identifying, validating, selecting of suitable open-source components and for applying to change and modification. Proposed procedures and cases will be a great contribution to spread of utilizing the open-source.