• Korea Real Estate Review
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• v.28 no.4
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• pp.23-35
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• 2018

The shared-office business started with the lending of office spaces such as meeting rooms. From this came the coworking space, which maximizes the collaboration among the residents and promotes synergy among them. The purpose of this study was to analyze the characteristics of the coworking space. In addition, this study derived the factors that are considered important among the hardware- and software-level operating components, and presented the priorities according to the importance through a questionnaire survey and analysis for the employees currently utilizing a coworking space. For the results of the analysis, the top elements in the survey were found to be "spatial composition," "membership management," coworking management," and "architectural elements." In addition, when the general items were analyzed according to their characteristics, it was found that there was a difference in priority level among the elements of each characteristic. These results are expected to be useful when designing coworking spaces in the future. The results of this study can be used as the basic data for solving the problems of small companies and the environment, among others. Furthermore, the results of this study can be utilized as the basic data for the development of a collective shared community through linking at the local or national level, rather than being limited to a single space.

• KIISE Transactions on Computing Practices
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• v.23 no.5
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• pp.299-303
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• 2017

By piling up hidden layers in artificial neural networks, deep learning is delivering outstanding performances for high-level abstraction problems such as object/speech recognition and natural language processing. Alternatively, deep-learning users often struggle with the tremendous amounts of time and resources that are required to train deep neural networks. To alleviate this computational challenge, many approaches have been proposed in a diversity of areas. In this work, two of the existing Apache Spark-based acceleration frameworks for deep learning (SparkNet and DeepSpark) are compared and analyzed in terms of the training accuracy and the time demands. In the authors' experiments with the CIFAR-10 and CIFAR-100 benchmark datasets, SparkNet showed a more stable convergence behavior than DeepSpark; but in terms of the training accuracy, DeepSpark delivered a higher classification accuracy of approximately 15%. For some of the cases, DeepSpark also outperformed the sequential implementation running on a single machine in terms of both the accuracy and the running time.

• The Journal of Society for e-Business Studies
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• v.25 no.1
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• pp.109-121
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• 2020

The purpose of this study is to find out primary policies for reducing PM(particulate matter) as well as for improving the quality of life. Serious particulate matters cause to diverse healthcare and economy problems including business transactions. Unfortunately, until recently there are very few researches regarding the decision-making process for particulate matter policies. This study has applied the AHP(Analytic Hierarchy Process) method to develop cooperative policy making processes. The upper layer of this hierarchy analysis consists of four parts, i.e., transportation, production facility, living environment, and urban planning management. And each upper layer parts has their own three policies. 25 experts including policy-makers, academic researchers and industrial specialists have decided the primary policies and directions. The most significant PM policy is the mandatory reduction of air pollution and suspension of factory operation in the production industry. The results of this study can lead to guidelines for making environmental policies.

• Journal of Korea Multimedia Society
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• v.7 no.11
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• pp.1630-1638
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• 2004

The ultimate purpose of game production is to make a game which satisfy game players and to sell maximum of products. In this paper, we suggest an assessment system model which can evaluate game satisfaction degree quantitatively, for preparing foundations that can make games which the suppliers and demanders of game business want. For it, we computed weight of constituent factors for game with AHP method based on survey, and quantified degree of satisfaction for genre of games to score. Also we analyzed affective factors for game satisfaction by SEM using LISREL software. In result, the greatest affective factor for game satisfaction is fun. For making the game with high degree of satisfaction, we propose that constructive investment and enough technology for fun are needed.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.35 no.6
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• pp.683-691
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• 2011

In order to develop technology for an equipment qualification (EQ) test, which is an important process in localizing solenoid-operated valves used in nuclear power plants, we analyzed related regulations, test procedures, conditions, equipment, and acceptance criteria. EQ regulations for the solenoid-operated valve are classified as law, guide, and standard, and are subdivided according to test specimens and contents. The EQ test is composed of functional, normal-, and accident- condition tests. The solenoid-operated valve is aged under normal and accident conditions, which are predicted in the design conditions of a nuclear power plant, and the performance of the valve is measured by a functional test. The test method and procedure analyzed in this paper might be very useful for manufacturers as well as EQ testers.

• Journal of The Korean Association For Science Education
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• v.22 no.3
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• pp.540-549
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• 2002

The 7th national curriculum is focused on breeding an independent and creative Korean who will lead the age of globalism and information in the 21st century. It is necessary to improve the existing assessment methods in order to develop higher thinking abilities such as creativity and problem-solving skill. Although teachers have been aware of this necessity, they have realized that it is difficult to improve the current assessment methods. In this study, we selected some assessment domains on science learning with literature reviews and case analysis. In addition, we calculated the degree of its importance by the use of Analytic Hierarchy Process(AHP). We suggest a direction for improving the present assessment domains on science learning on the basis of the research. Inquiry, cognitive, creative, and affective domain among assessment domains seemed to be listed in order of importance. Moreover, problem-identifying, hypothesizing, and inquiry-planning appeared to be the highest in the degree of importance among sub categories. Considering the results of this study, the current school assessment system which is focused on cognitive domain should be improved.

• Journal of the Korean Society of Marine Environment & Safety
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• v.21 no.6
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• pp.704-711
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• 2015

In this study, we have conducted a survey of AHP technique through the ocean experts to derive new items and revise assessment items and indices for risk of sunken ships based on the survey results. As a result of the survey, two new items such as accident cause and tidal current are derived. And it shows that existing items such as toxic liquid substance, remaining oil and explosive gas which were evaluated as one group are desirable to be evaluated respectively. Accordingly, we analyze the indices of the new eleven assessment items adjusted from the existing seven assessment items. As a result, the indices are ordered by toxic liquid substance, possibility of leaking, explosive gas, carrying capacity of fuel oil, sensitivity of sea environment, marine traffic environment, cause of accident, tidal current, keel clearance, ship type, and ship size. Especially, as compared with the indices of existing assessment items, the indices of sensitivity of sea environment and possibility of leaking are higher and the index of keel clearance is lower.

• Journal of the Architectural Institute of Korea Structure & Construction
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• v.36 no.5
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• pp.155-164
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• 2020

This research used Analytic Hierarchy Process(AHP) to analyze the importance and priority of functional space and evaluation factors of each functional space of the military dining facility. Dining in the military is an important factor in restoring combat power and promoting morale. The military dining facility serves as a not only for meals, but also for watching TV, education and club activities. Workers working in dining facility spend most of their work hours in dining facility, perform tasks such as cooking, dishwashing, and leftover disposal, and take breaks. As such, the military dining facility is a space where various functions are performed, and space planning should take into account these various functions when planning the building of the dining facility. However, the criteria for defense and military facilities, which are the basis for planning the space of military dining facility, are calculated only by simply analyzing the standard floor plan to match the size of the person-to. Therefore, when there is space to be reduced in the total area, there are side effects such as leaving visible table space without consideration for priority or functional space, unseen office space, and adjusting the entire area through reduction of the lounge. Accordingly, based on the priority of the space that the staff of the military dining facility considers important, this research aims to analyze the characteristics of each functional space through classification according to its unique function. This can be an indicator that can be used as a basis for future revision of the building floor area standards of the defense and military facilities standards, and it can improve usability with an efficient space plan that takes into account the characteristics of the Korean military and the satisfaction of its workers. Furthermore, efficient use of the defense budget through rational building plans can contribute to budget reduction.

• Knowledge Management Research
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• v.22 no.2
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• pp.289-300
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• 2021

Proptech, which has applied information technology to the real estate market, is leading real estate transaction innovation by presenting various value creation models. This study categorizes and understands values that are created and shared in proptech-based businesses, and develops evaluation data that reflects the relative importance of individual value areas. To this end, the dimension of value creation of proptech was hierarchically constructed, and the degree of relative value creation of the sub-industries of the proptech industry was evaluated. In order to grasp the relative importance of the proposed indicators, AHP analysis was conducted for industry and academic experts. In the first stage, intangible values, relational values, and advanced values were presented. It was derived as weights between indicators through two-way comparison. This study aims to improve and develop the value-creation capability of the entire Korean proptech ecosystem in the future by evaluating the value-created competence of each sector of the proptech industry.

• Journal of the Korea Society of Computer and Information
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• v.28 no.1
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• pp.161-170
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• 2023

In this study, based on existing studies on music streaming services and e-services, the selection factors for music streaming platforms were derived, and the AHP technique was implemented to calculate the importance of each factor. As a result of this study, economic feasibility was found to be the most important factor among security, economic feasibility, informativeness, convenience, and responsiveness, which are the first-step selection factors of music streaming platforms. As a result of synthesizing the weights of the first and second factors, reasonable price was found to be the most important factor. Finally, an additional analysis was conducted to determine whether there was a difference in importance between the selection factors of the music streaming platform according to gender and age. Through this study, it will be possible to figure out the factors that consumers consider most important when using a music streaming platform.