• Journal of Internet Computing and Services
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• v.13 no.5
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• pp.77-92
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• 2012

To explore the directions of 'Smart Education', we conduct a delphi survey field experts related to it recognized new educational paradigm of 21st century. As a result we can deduct common ground on educational goal, contents, method, evaluation, environment of 'Smart Education'. On the basis of these results, we develop a Smart Education Model to be able to provide a guide in the field. It is a systemic education model consisting of interrelated educational contents, method, evaluation, and environment of 'Smart Education' organically for education goal (e.g., Smart education should spread out for students living on 21st century to solve the problem with cooperation and communication, enhance creativity, and build their good character). We anticipate that this study will be useful in the field.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.12 no.1
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• pp.392-412
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• 2018

Due to the semantic gap problem across different modalities, automatically retrieval from multimedia information still faces a main challenge. It is desirable to provide an effective joint model to bridge the gap and organize the relationships between them. In this work, we develop a deep image annotation and classification by fusing multi-modal semantic topics (DAC_mmst) model, which has the capacity for finding visual and non-visual topics by jointly modeling the image and loosely related text for deep image annotation while simultaneously learning and predicting the class label. More specifically, DAC_mmst depends on a non-parametric Bayesian model for estimating the best number of visual topics that can perfectly explain the image. To evaluate the effectiveness of our proposed algorithm, we collect a real-world dataset to conduct various experiments. The experimental results show our proposed DAC_mmst performs favorably in perplexity, image annotation and classification accuracy, comparing to several state-of-the-art methods.

• Communications for Statistical Applications and Methods
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• v.16 no.2
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• pp.299-308
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• 2009

It is very rare to conduct an experimental design with a single objective in mind. since we have uncertainties in model and its assumptions. Basically we have three approaches in literature to handle this problem, the mini-max, compound, constrained experimental design. Since Cook and Wong (1994) announced the equivalence between the compound and the constrained design, many constrained experimental design approaches have adopted the approximate design algorithm of compound experimental design. In this paper we attempt to modify the row-exchange algorithm under exact experimental design setting, not approximate experimental design one. This attempt will provide more realistic design setting for the field experiment. In this process we proposed another criterion on how to set the constrained experimental design. A graph to show the general issue of infeasibility, which occurs quite often in constrained experimental design, is suggested.

• Journal of Ocean Engineering and Technology
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• v.24 no.2
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• pp.25-33
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• 2010

Collision between vessels may lead to structural damage and penetration of hulls. The structural damage of a hull may eventually bring about global collapse of the hull girder and outflow of oil, which would contaminate seawater. Therefore, various regulations require the strength of a vessel after collision to satisfy given criteria, and owners usually request collision analyses to confirm the structural safety of their vessels. In the process of designing a vessel to satisfy the collision strength criteria, the strength has been assessed mostly by conducting collision analyses using numerical techniques, such as dynamic, non-linear, finite-element analysis. Design is an inherently iterative process during which many changes are necessary due to the endless needs for reinforcement and modification. Numerical techniques are not adequate for coping with a situation in which collision analysis is frequently required to provide the revised results that reflect the repetitive changes in designs. Numerical techniques require a lot of time and money to conduct in spite of recent improvements in computing power and in the productivity of modeling tools. Therefore, in this paper, an analytical technique is introduced and a collision problem is idealized and simplified using reasonable assumptions based on appropriate background. The technique was applied to an example of an actual FPSO and verified by comparing the results with results from the numerical technique. A good correlation was apparent between the results of the analytical and numerical techniques.

• The Journal of the Korea Contents Association
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• v.10 no.3
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• pp.355-363
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• 2010

The purpose of this study is to investigate work value of employees working at hotel, and how these work value effect the job commitment by hypothesis with research on documents and pre-examinations. The results of the study were as follows. First, intrinsic work value had a effect on job attachment, job responsibility, job importance. Second, extrinsic work value had a effect on job attachment, job responsibility, job importance. This research can heighten action administration's effect of organization supports for objective of organization achievement through individual's attitude and comprehension about work value influencing on conduct and test, practical use. Also, this research will utilize directly to solve problem of organization employee having different work value organization through analysis about work value.

• Journal of Korea Multimedia Society
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• v.18 no.7
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• pp.886-894
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• 2015

In this paper, we conduct sensitivity analysis of parameters used for inverse modeling in order to estimate the PM₁₀ emissions from the 16 areas in East Asia accurately. Parameters used in sensitivity analysis are R, the observational error covariance matrix, and B, a priori (background) error covariance matrix. In previous studies, it was used with the predetermined parameter empirically. Such a method, however, has difficulties in estimating an accurate emissions. Therefore, an automatically determining method for the most suitable value of R and B with an error measurement criteria and posteriori emissions accuracy is required. We determined the parameters through a sensitivity analysis, and improved the accuracy of posteriori emissions estimation. Inverse modeling methods used in the emissions estimation are pseudo inverse, NNLS (Nonnegative Least Square), and BA(Bayesian Approach). Pseudo inverse has a small error, but has negative values of emissions. In order to resolve the problem, NNLS is used. It has a unrealistic emissions, too. The problems are resolved with BA(Bayesian Approach). We showed the effectiveness and the accuracy of three methods through case studies.

• Korean Journal of Construction Engineering and Management
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• v.6 no.6 s.28
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• pp.81-89
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• 2005

Construction projects are characterized that exposed high risks so feel strongly necessity of actively risk management that manage the time of project. but recent generally time management tools are not satisfied sufficient supporting the risk identify and risk analysis. Therefore this study purposed development the time management model that in order to improve existing problem of time management model in construction project and developed model could perform practical risk management in construction field. The new time management model focused on the risk management will be able to conduct critical path management and risk critical path management simultaneously.

• KIEAE Journal
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• v.17 no.3
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• pp.69-74
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• 2017

Purpose: The apartment complex constructed recently is composed of very various types of building, plan, and orientation etc. However, it is difficult to remark conclusively that these various types of buildings are designed energy-effectively, since it is difficult for architects to find useful energy design guideline for decision making. By the preceding study, the present condition and problem about this subject was grasped, apartment building types were examined and representative types were extracted. Method: Large apartment building complex having 1940 households, located in haengbok-dosi, sejong city, Korea is used as an example to conduct this study. Representative building types are extracted first. Then, heating and cooling load of households is analyzed. Lastly, effect of outdoor air cooling is investigated by computer simulation. Result: Results of this research are summarized as follows: 1. Besides solar gain, household layout of building, orientation, and plan have compositive effects on heating and cooling load. 2. The effect of outdoor air cooling in apartment can be improved by arranging windows of households.

• Journal of Information Technology Services
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• v.11 no.sup
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• pp.61-74
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• 2012

As the retail industry has been challenged by stiff competition, the retailer becomes more interested in better understanding consumers' in-store behavior to gain and sustain competitive advantage. Consumers' shopping paths provide valuable clues to understanding customers' in-store behavior, which has been a long standing research issue in business. This study is to explore the shopping path patterns in a grocery using RFID technology and clustering method. To this end, we designed the RFID systems, affixing active RFID tags to the bottom of grocery carts. The tag emit signal that is received by receptors installed at various location throughout the store. The RFID systems provide the time and location of the cart while consumers shop around the store. The point of sale data are matched with the cart movement records to provide a complete picture of each shopping path. To find the distinctive patterns of consumers' shopping paths, we proposed the distance-index matrix using dijkstra method and normalization method to conduct the clustering in order to handle the problem in measuring the similarity among shopping paths, which is raised by the spatial nature of consumer movement in a grocery. After analyzing the RFID data obtained in one of the groceries in a major Korean retailer, we could successfully identify several distinctive patterns of shopping paths, which prove to provide the valuable implications for store management.

• Transactions of the Korean Society of Automotive Engineers
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• v.22 no.2
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• pp.190-196
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• 2014

Exhaust system by reinforcement of environment regulation came to the foe study necessity. And Exhaust system has necessary to increase the engine performance and silence. From this cause, Automobile has significantly considered production expense. this study makes process for checking the characteristics about Exhaust variable valve within muffler. Variable valve might reduce the baffle within muffler, It was possible to remove the front muffler. Therefor, To miniaturize a size of muffler might be increased by performance through cost-cutting effect and controling of back pressure. Because the Study on Variable valve installed within muffler, to measure the real data was hardly resulted one of the assignments. From manufactured conduct device, might measure data one of piece which was up-graded of problem. Considering to these point, stressed pressure distribution has analyzed on cross section, floating characteristics about velocity distribution around variable valve using analysis as computational fluid dynamics of Ansys with completed measurement data.