• Journal of Korean Society of Archives and Records Management
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• v.16 no.2
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• pp.81-112
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• 2016

This study aims to propose the adoption of a business management system, as well as suggest the functions and development directions for public organizations, which are required to establish the record management and information disclosure system under Government 3.0, rapidly respond to the needs for strengthening the responsibilities for explanation, and improve work efficiency. Recently, some of the public organizations that introduced the record management and information disclosure system adopted the Electronic Document System, which focuses on the function of electronic approval, and developed a records classification scheme for the system. This study aims to review the case of A organization, which recently developed an in-house records management system and established information strategy planning to adopt a customized business management system after establishing a business reference model throughout the organization, and suggests the directions of the electronic record production system for public organizations.

• Proceeding of Spring/Autumn Annual Conference of KHA
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• 2002.11a
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• pp.307-313
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• 2002

Urban style row-rise houses for rent have been supplied to the center of city from the 1950's first half The amount of stock is about 450,000 houses and occupies about 40％ in the private rented house. As for the structure, the 60％ of them is wooden-structure and the rest is non-wooden. Stocks of 57.5％ of the wooden-structure and 86％ of the non-wooden were built after 1981 years. It was 1981 years that the new earthquake-resistant standard was carried out, the improvement of stocks built before 1981 is necessary because those don't satisfy the present standard. To investigate the renovation possibility of urban style row-rise houses for rent, actual situation of two-story apartment at 2,4, and 5 Chome Taito-Ku in Tokyo was surveyed from July to November 2001. The number of building analyzed is 227 ridges among 234 ridges of the surveyed two-story building. 90％ of building analyzed is wooden structure. 1) The site of 88％ building surveyed is close to a road less than 4m width. It becomes the existing non-conformed building in the building construction act. It is impossible to make a renovation such as rebuilding, extension and remodeling because it requires the set back when renovating this type of non-conformed building, 2) The building built before 1981 is almost wooden-structure, and occupies 37％ of the building surveyed, and doesn't satisfy the present earthquake-resistant standard. An improvement of them is needed because the decrepitude of building proceeds. 3) 50％ of openings and 40％ of windows of the building surveyed doesn't use noncombustible materials. Though it becomes the existing non-conformed building, it can satisfy the present standard by replacing openings with noncombustible materials.

• Korean Journal of Construction Engineering and Management
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• v.5 no.2 s.18
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• pp.211-218
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• 2004

In a large owner organization, a program manager of multiple maintenance and remodeling projects has experienced increasing scale and complexity of coordinating the M/R projects with in-house technicians who belong to multiple trade shops. This paper proposes a dual-level hierarchical planning strategy that consists of a program master plan in the long-term horizon and a master construction schedule in an operational scheduling window. A rolling horizon approach to the program master plan is proposed to deal with the external uncertainty of unknown stream of project requests. A resource-constrained scheduling algorithm is developed to generate the master construction schedule in a scheduling window. During development of the algorithm, more emphasis is placed on long-term organizational resource continuity, especially flow management of program constraint resources, than ephemeral events of an individual activity and project. Monte Carlo simulation experiments of three scheduling windows are used to evaluate the relative performance of the proposed scheduling algorithm against three popular scheduling heuristics for resource-constrained multiple projects.

• Journal of Dairy Science and Biotechnology
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• v.35 no.4
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• pp.232-243
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• 2017

Although several supplementary foods are available for pregnant and lactating women, there is a need for foods able to maintain a woman's beauty without any changes in body shape. In this study, four questionnaires about nutrition management, skin care, body shape, and the intent of purchasing beauty supplementary foods, were prepared for an online survey (http://pms8011.wixsite.com/project). A total of 95 answers from 293 women were classified into four groups, based on age, income, occupation, and skin type. The data were statistically analyzed using SPSS/WIN Program 22.0. The significances of the F-value analyzed by one-way ANOVA and the differences within the groups were verified by Scheffe's method. All groups were shown to have very high requirements for nutrition management and beauty standards. In the skin patterns, the groups of middle-aged women, house wife and the lower income showed high interests, with a high significance (P<0.01) in ages. With respect to body shape, significant interest was found within the groups of skin type (P<0.05) and age (P<0.001). With regard to supplementary foods, all groups showed a strong intention to purchase, but no significant differences were found. This study indicates the necessity to categorize supplementary foods by the intended target group, such as women planning to conceive, pregnant women, and lactating women.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.9
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• pp.6315-6324
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• 2015

This study analyses the effects of household finances on rental price of apartment in Seoul which play a major role in real estate policy. We estimate VAR models using time series data. Economy variables such as sales price of apartment in Seoul, consumer price index, hiring rate, real GNI and loan amount of housing mortgage, which relate to household finances and influence the rental price of apartment, are used for estimation. The main findings are as follows. In the short term, the rental price of apartment is impacted by economy variables. Specifically, Relative contributions of variation in rental price of apartment through structural shock of economy variables are most influenced by their own. However, in the long term, household variables are more influential to the rental price of apartment. These results are expected to contribute to establish housing price stabilization policies through understanding the relationship between economy variables and rental price of apartment.

• Journal of Information Processing Systems
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• v.14 no.1
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• pp.162-175
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• 2018

Currently, electricity consumption and feedback mechanisms are being widely researched in Internet of Things (IoT) areas to realise power consumption monitoring and management through the remote control of appliances. This paper aims to develop a smart electricity utilisation IoT platform with a deep belief network for electricity utilisation feature modelling. In the end node of electricity utilisation, a smart monitoring and control module is developed for automatically operating air conditioners with a gateway, which connects and controls the appliances through an embedded ZigBee solution. To collect electricity consumption data, a programmable smart IoT gateway is developed to connect an IoT cloud server of smart electricity utilisation via the Internet and report the operational parameters and working states. The cloud platform manages the behaviour planning functions of the energy-saving strategies based on the power consumption features analysed by a deep belief network algorithm, which enables the automatic classification of the electricity utilisation situation. Besides increasing the user's comfort and improving the user's experience, the established feature models provide reliable information and effective control suggestions for power reduction by refining the air conditioner operation habits of each house. In addition, several data visualisation technologies are utilised to present the power consumption datasets intuitively.

• Nuclear Engineering and Technology
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• v.53 no.9
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• pp.3018-3025
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• 2021

The authors developed a volumetric dosimetry detector system using in-house 3D-printable plastic scintillator resins. Three tumor model scintillators (TMSs) were developed using magnetic resonance images of a tumor. The detector system consisted of a TMS, an optical fiber, a photomultiplier tube, and an electrometer. The background signal, including the Cherenkov lights generated in the optical fiber, was subtracted from the output signal. The system showed 2.1% instability when the TMS was reassembled. The system efficiencies in collecting lights for a given absorbed energy were determined by calibration at a secondary standard dosimetry laboratory (k_SSDL) or by calibration using Monte Carlo simulations (k_sim). The TMSs were irradiated in a Gamma Knife® Icon^TM (Elekta AB, Stockholm, Sweden) following a treatment plan. The energies absorbed to the TMSs were measured and compared with a calculated value. While the measured energy determined with k_SSDL was (5.84 ± 3.56) % lower than the calculated value, the energy with k_sim was (2.00 ± 0.76) % higher. Although the TMS detector system worked reasonably well in measuring the absorbed energy to a tumor, further improvements in the calibration procedure and system stability are needed for the system to be accepted as a quality assurance tool.

• Korean Journal of Environmental Agriculture
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• v.38 no.3
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• pp.213-218
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• 2019

BACKGROUND: Monitoring of the dynamic changes of chemical properties in agricultural land is very important for agricultural sustainability. Chemical properties of agricultural soils in Korea have been investigated at four-year interval in the order of paddy, plastic film house, upland, and orchard soils since 1999. METHODS AND RESULTS: Total 8,160 topsoil samples were taken from the upland in 2001, 2005, 2009, 2013, and 2017, respectively. Soil chemical properties such as pH, electrical conductivity (EC), organic matter (OM), available phosphate (Avail. $P_2O_5$), and exchangeable (Exch.) cations (K, Ca, and Mg) were analyzed. Soil pH and Exch. Ca contents have increased since 2001. Average concentration of Avail. $P_2O_5$ increased from $547mg\;kg^{-1}$ in 2001 to $657mg\;kg^{-1}$ in 2017. Average concentration of Exch. Ca in 2017 was higher than the upper limit of its optimal range for upland cultivation. Excess and deficiency of chemical properties of upland soils comply with soil analysis and fertilizer prescription. CONCLUSION: We concluded that excessive nutrient in upland needed to be properly managed with soil test.

• Journal of Digital Convergence
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• v.16 no.12
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• pp.217-229
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• 2018

This paper aims at applying the data mining such as decision tree, neural network, and logistic regression to an unsold apartment complex in Wirye new town and developing the model forecasting the result of initial sale contract by house unit. Raw data are divided into training data and test data. The order of predictability in training data is neural network, decision tree, and logistic regression. On the contrary, the results of test data show that logistic regression is the best model. This means that logistic regression has more data adaptability than neural network which is developed as the model optimized for training data. Determinants of initial sale are the location of floor, direction, the location of unit, the proximity of electricity and generator room, subscriber's residential region and the type of subscription. This suggests that using two models together is more effective in exploring determinants of initial sales. This paper contributes to the development of convergence field by expanding the scope of data mining.

• Journal of the Architectural Institute of Korea Planning & Design
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• v.34 no.2
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• pp.3-11
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• 2018

Korea has achieved a rapid economic development and with the increase in population and national income and the expansion of social and economic activities, energy consumption has rapidly increased too. Energy consumption per head has constantly increased and currently, power consumption per head is 7.5 times bigger than in 1985. Buildings occupy 25% of total energy consumption and especially, 50% of total energy is consumed for heating and cooling. In this situation, multi-family housing, which has constantly been increased, has an energy saving rate of 1.9%, which is the lowest level and this makes the government's energy policy for sustainable energy system development useless. Besides, energy consumption leads to secondary problems, such as air, water and marine pollution and heat pollution and wastewater/drainage and the increased use of fossil fuel is a fundamental reason for ozone layer destruction and global warming. Therefore, efficient energy consumption plans are required. This study aims to analyze energy performance in each block type of high-rise and diversified multi-family housing that accounts for 60% of all the housing forms, depending on the variations in stories through BIM-based energy simulation. For this study, four representative block types were selected, based on the multi-family floor plan, which is certified for energy performance evaluation and they were applied to the floor plan of a multi-family house that is scheduled to be built. Then BIM modeling was conducted from the fifth story to the 40th story at an intervals of 5 stories and based on the finding, energy characteristics of each block type and energy performance depending on the variations in stories were analyzed. It is considered that this would serve as objective data for block type and block story decision of energy performance-based multi-family housing.