• Korean Institute of Interior Design Journal
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• v.25 no.2
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• pp.101-111
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• 2016

As globalization proceeds, transnational property development is increasing. Vietnam has began to experience a serious housing shortage throughout the urbanization process and they try to solve this housing problem in the city by development of New Town with an excellent technique. Of these, New city, Phu My Hung (PMH) is known as a very successful example. Therefore, this study researched 145 plan of 15 Apartment complexes which were completed after 2008 to analyse the plan characteristic of internal-external of Apartment in PMH New city in Ho Chi Minh City which effected the housing development in Vietnam. We collected the data from Internet and researched the characteristic of complex and an individual unit by visiting 6 Apartment complexes directly on Aug, 2014. In PMH, apartment has pattern of Mixed-use Apartment. There are stores on the 1st ad 2nd floor and consisted of 2 or 3 small complexes. They secure enough Green Space and Community Space and control visitor access for the safety of residents. Inside space organization is mainly consisted of 3LDK+2BATH and Public space and Private space is placed separately. Also, placed the Kitchen independently and it is quiet interesting that the entrance entry into the house directly from the external space.

• Journal of Electrical Engineering and Technology
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• v.8 no.4
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• pp.920-929
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• 2013

Within the project 'e performance' supported by the German Ministry of Education and Research (BMBF) an electric vehicle, powered by two lithium-ion battery packs of different capacity and voltage has been developed. The required Energy Management System (EMS) in this system controls the current flows of both packs independently by means of two individual dc-dc converters. It acts as an intermediary between energy storage (battery management systems-BMS) and the drivetrain controller on the vehicle control unit (VCU) as well as the on-board charger. This paper describes the most important tasks of the EMS and its interfaces to the BMS and the VCU. To validate the algorithms before integrating them into the vehicle prototype, a detailed Matlab / Simulink-model was created in the project. Test procedures and results from the simulation as well as experiences and comparisons from the real car are presented at the end.

• Nuclear Engineering and Technology
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• v.49 no.6
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• pp.1165-1171
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• 2017

The traditional form of parallelism in Monte Carlo particle transport simulations, wherein each individual particle history is considered a unit of work, does not lend itself well to data-level parallelism. Event-based algorithms, which were originally used for simulations on vector processors, may offer a path toward better utilizing data-level parallelism in modern computer architectures. In this study, a simple model is developed for estimating the efficiency of the event-based particle transport algorithm under two sets of assumptions. Data collected from simulations of four reactor problems using OpenMC was then used in conjunction with the models to calculate the speedup due to vectorization as a function of the size of the particle bank and the vector width. When each event type is assumed to have constant execution time, the achievable speedup is directly related to the particle bank size. We observed that the bank size generally needs to be at least 20 times greater than vector size to achieve vector efficiency greater than 90%. When the execution times for events are allowed to vary, the vector speedup is also limited by differences in the execution time for events being carried out in a single event-iteration.

• The Mathematical Education
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• v.53 no.2
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• pp.201-217
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• 2014

This research has an intention of developing a professional development program. We proposed an alternative mathematics teacher training model based on the situated learning theory, community of practice, and reflective practitioner. The developed mathematics teacher professional development program recruited participation unit that was consisted of 3 or 4 teachers in same school and total of 28 teachers from 9 schools. Also, there were 18 mentors to support each school. In this sense, it can be called multi-tired teacher community professional development program. Through the program, the teachers improve their teaching competency. Also, the operation ability of teacher learning community was improved. Learning community culture has been formed in each school. It shows ability that the explorative learning community can be operated voluntarily although the program finished. Furthermore, community shared corporate responsibility about open class. They recognize open class as a new method to improve community teaching ability than a tool to evaluate individual teaching ability.

• Journal of Korea Multimedia Society
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• v.19 no.8
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• pp.1433-1443
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• 2016

In the cases of the major cities, high poverty rate of the elderly, immature pension policies, and insufficient market conditions, policies and services for the employment of the elderly decrease the desire for the job participation. It is time to prevent the problems of the elderly, and induce the reachable seniors to participate in social activities. This research provides the location-based, customized job-search service for the elderly in order to actively support the participation in the economic activities of the elderly. The goal of SSJS(Smart Senior Job Search) is to provide the individual elderly with the customized position. It prints the appropriate positions near user location based on the residential area, job classification, and the physical condition, and provides the mash-up of the selectable job range in the unit distance based on the map. This customized service, which enables the seniors to select the type of the jobs based on their physical, mental and life conditions of the seniors, supports the participation in economic activities of the elderly people, and contribute to the expansion of the social job positions for the elderly and the equalization of the local development.

• Hwankyungkyoyuk
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• v.11 no.1
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• pp.237-250
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• 1998

'Self-esteem' is defined as 'the lived status of one's individual competence and personal worthiness in dealing with the challenges of Life over Time'. High self-esteem is associated with self-confidence, effectively coping, well-being, and responsibility and it is essential for the responsible choice and determination of environments. The purposes of this study were to develop a strategy to enhance the self-esteem and to verify the effects. A new strategy, 'Cognitive Restructuring Strategy' was based on the characteristics of self-esteem and the key idea of this was to eliminate negative thoughts and to reinforce affirmative thoughts. We developed the statement to embody this strategy and applied to the experimental group. According to the results, self-esteem for the control group(155) did not changed but that for the experimental group(158) was significantly enhanced. Continuously, environmental learning instructions of 3 units were carried out on two groups. By applying the t-test, achievement-test scores for the experimental group per unit were significantly higher than those of the control group as regards the four respective goals of EE. Therefore this strategy and statement are helpful in enhancing self-esteem and it was found that 'self-esteem' is a influential factor to form environmental responsible behaviors(ERB).

• Nuclear Engineering and Technology
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• v.53 no.12
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• pp.4042-4051
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• 2021

In this work, we applied a multilevel modeling technique to estimate the diametral creep in the pressure tubes of Korean Canada Deuterium Uranium (CANDU) units. Data accumulated from in-service inspections were used to develop the model. To confirm the strength of the multilevel models, a 2-level multilevel model considering the relationship between channels for a CANDU unit was compared with existing linear models. The multilevel model exhibited a very robust prediction accuracy compared to the linear models with different data pooling methods. A 3-level multilevel model, which considered individual bundles, channels, and units, was also implemented. The influence of the channel installation direction was incorporated into the three-stage multilevel model. For channels that were previously measured, the developed 3-level multilevel model exhibited a very good predictive power, and the prediction interval was very narrow. However, for channels that had never been measured before, the prediction interval widened considerably. This model can be sufficiently improved by the accumulation of more data and can be applied to other CANDU units.

• Steel and Composite Structures
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• v.32 no.3
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• pp.347-359
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• 2019

Modular construction has been increasingly used for mid-to-high rise buildings attributable to the high construction speed, improved quality and low environmental pollution. The individual and repetitive room-sized module unit is usually fully finished in the factory and installed on-site to constitute an integrated construction. However, there is a lack of design guidance on modular structures. This paper mainly focuses on the evaluation of the initial stiffness of corrugated steel plate shears walls (CSPSWs) in container-like modular construction. A finite element model was firstly developed and verified against the existing cyclic tests. The theoretical formulas predicting the initial stiffness of CSPSWs were then derived. The accuracy of the theoretical formulas was verified by the related numerical and test results. Furthermore, parametric analysis was conducted and the influence of the geometrical parameters on the initial stiffness of CSPSWs was discussed and evaluated in detail. The present study provides practical design formulas and recommendations for CSPSWs in modular construction, which are useful to broaden the application of modular construction in high-rise buildings and seismic area.

• International Journal of Internet, Broadcasting and Communication
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• v.13 no.4
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• pp.11-21
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• 2021

The causes of noise generation according to the classification of indoor spaces are very diverse. Individual happiness is infringed by this noise. In this paper, We tried to visualize the spatial sound characteristics of public places using sound color to express them so that anyone can sympathize. The noise inside a conference room of a medical device company was measured for 100 minutes, and the frequency band was divided into three different types of existing sound pressure expression units. Because the size of the noise is expressed differently depending on the situation, There are cases where there is a difference of opinion between the measurer and the researcher. This noise measurement experiment was conducted, and the sound color was applied to classify it on a log scale considering auditory characteristics. As a result of comparing this with the result expression for different loudness expression units, A specific table in different units yielded almost similar results. In addition, the sound source section for 100 minutes was divided into three analysis sections, the analysis sections were different, and the size of the energy ratio for each analysis section was divided in the form of an envelope. The characteristics of the low-frequency region of the space have a high energy ratio, and the decrease in the energy ratio according to the increase in frequency is constant and regular. You can see that conversations are possible.

• Korean Journal of Remote Sensing
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• v.37 no.1
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• pp.111-122
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• 2021

Building footprint extraction is an active topic in the domain of remote sensing, since buildings are a fundamental unit of urban areas. Deep convolutional neural networks successfully perform footprint extraction from optical satellite images. However, semantic segmentation produces coarse results in the output, such as blurred and rounded boundaries, which are caused by the use of convolutional layers with large receptive fields and pooling layers. The objective of this study is to generate visually enhanced building objects by directly extracting the vertices of individual buildings by combining instance segmentation and keypoint detection. The target keypoints in building extraction are defined as points of interest based on the local image gradient direction, that is, the vertices of a building polygon. The proposed framework follows a two-stage, top-down approach that is divided into object detection and keypoint estimation. Keypoints between instances are distinguished by merging the rough segmentation masks and the local features of regions of interest. A building polygon is created by grouping the predicted keypoints through a simple geometric method. Our model achieved an F1-score of 0.650 with an mIoU of 62.6 for building footprint extraction using the OpenCitesAI dataset. The results demonstrated that the proposed framework using keypoint estimation exhibited better segmentation performance when compared with Mask R-CNN in terms of both qualitative and quantitative results.