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A Study on the Rise and Success of Korean-style Collection RPG Genre (한국형 수집 RPG 장르 형성 연구)

  • Cho, Eun-Ha
    • The Journal of the Korea Contents Association
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    • v.18 no.11
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    • pp.327-337
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    • 2018
  • The Korean-style Collection RPG is a unique sub-genre of RPG developed in a new environment of the smartphone era. Based on CCG in Japan, the Korean collection RPG was able to have its own color by adding action style based on the experience of MMORPG development. Since the genre, many games have been released and have had amazing success. This success is not only limited to domestic but also extends overseas. In this study, I try to find out the reasons for the emergence and success of the Korean collection RPG, and analyze "Seven Knights", which has been a great success in Korea, and "Summoners War", which has achieved great success in the world. Through this, I will contribute to the competitiveness of Korean smartphone game industry.

A Study on the Logistics Service Factor of Third Party Logistics Companies (3자 물류기업의 물류서비스 요인분석)

  • Jeong, Jae-Yun;Park, Ji-Hoon;Kim, Hwan-Seong
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2019.05a
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    • pp.129-130
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    • 2019
  • Korea manufacturers(SMEs) try to reduce logistics costs and make its efficiency by out-sourcing to a third party logistics company. It will improving logistics service for customers by reducing logistics management factors and decreasing related logistics. To reduce logistics cost, recently, logistics services have had a great effect on customer satisfaction, particularly, it is necessary to conduct detailed study on the effect on cost. In this study, firstly, we analyze the factor of improvement of logistics service of the third party logistics company based on the questionnaire and analyze quantitatively the effect of cost reduction compared to logistics service improvement through sensitivity analysis for each factor do. The purpose of this study is to clarify the relationship between logistics costs and the increase the logistic service factor.

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Big Data Analysis of the Citizen's Needs regarding the Life-friendly Businesses in New City (신도시 생활밀접업종에 관한 시민 니즈 빅데이터 분석 연구)

  • Lee, Dongchul;Chang, Hye-Jung
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.12 no.1
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    • pp.43-48
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    • 2019
  • The presence of shops necessary for everyday life is a factor that increases the satisfaction of residential environment. From the perspective of founders, establishing businesses with high needs of local residents is a factor that affects business success. In this paper, we try to find out the status of businesses closely related to everyday city life. And it analyzes whether the formation of these businesses is consistent with the initial consumer needs of the new city. The purpose of this paper is to derive meaningful results that both the business founder and consumer can win-win. The current status of the life-friendly businesses and the needs of citizens were analyzed in the S city. As a results of analysis, the needs for education appears strongly at the early stage of urban development. And it shows a characteristic of being weakened to some extent with the passage of time. On the other hand, the needs for food, which is the basic requirement of life, has a low starting and steadily increasing character.

Analysis of Convergent Influence of Job Seeking Stress, Academic Burnout and Anxiety on Depression among College Students using Structural Equation Model (구조방정식 모형을 이용한 일개 대학생의 취업스트레스, 학업소진 및 불안이 우울에 미치는 융합적인 영향 분석)

  • Lee, Hyun-Suk;Bae, Sang-Yun
    • Journal of the Korea Convergence Society
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    • v.10 no.5
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    • pp.71-78
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    • 2019
  • This study attempted to identify convergent influence on depression and its association with job seeking stress, academic burnout and anxiety among college students. Data collection was carried out using a self-administered questionnaire from Nov. 12, 2018 to Dec. 14, 2018 and the target was randomly selected 304 students from colleges located in J area. Depression was positively correlated with job seeking stress, academic burnout and anxiety. The covariance structure analysis showed that the job seeking stress, the higher academic burnout and the higher anxiety tend to increase depression. These results show that to lower college students' depression, it is necessary to try to lower job seeking stress, academic burnout, and anxiety. These results are expected to be utilized for employment counseling, academic counseling, and expansion of resources for psychological stability and various interventions that lower the depression of college students. In future studies, the survey about additional factors of influence on the depression of college students will be needed.

How is the Social Problem-Solving R&D Done? (사회문제 해결형 연구개발은 어떻게 수행되는가?)

  • Song, Wichin;Seong, Ji-Eun
    • Journal of Science and Technology Studies
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    • v.18 no.3
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    • pp.255-289
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    • 2018
  • The social problem-solving R&D is different from the goal and process in comparison with research aimed at scientific excellence and industrial innovation. It pursues social values and active participation of the end-user civil society. In this study, we try to derive its characteristics by analyzing the cases that are evaluated as successful social problem solving R&D project. In order to analyse the social problem-solving R & D case, these four variables are selected; 1) social and technological planning for problem solving 2) participatory technological development 3) law, system and delivery system development for innovation deployment 4) scale-up of new R&D process. Those are important issues identified through case studies: 1) the tools and support services needed to carry out social and technical planning effectively, 2) the role of the Living Lab to coordinate opinions with experts and users, 3) the legislative and institutional improvement activities as important as technological development, 4) researcher's change through interaction with end user.

An Efficiency Analysis on Mutation Operation with TSP solved in Genetic Algorithm

  • Yoon, Hoijin
    • Journal of the Korea Society of Computer and Information
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    • v.25 no.12
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    • pp.55-61
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    • 2020
  • Genetic Algorithm(GA) is applied to a problem that could not figure out its solution in a straightway. It is called as NP-hard problem. GA requires a high-performance system to be run on since the high-cost operations are needed such as crossover, selection, and mutation. Moreover, the scale of the problem domain is normally huge. That is why the straightway cannot be applied. To reduce the drawback of high-cost requirements, we try to answer if all the operations including mutation are necessary for all cases. In the experiment, we set up two cases of with/without mutation operations and gather the number of generations and the fitness of a solution. The subject in the experiment is Travelling Salesman Problem(TSP), which is one of the popular problems solved by GA. As a result, the cases with mutation operation are not faster and the solution is fitter than the case with mutation operation. From the result, the conclusion is that mutation operation does not always need for a better solution in a faster way.

Transnational Adoption and Beyond-Borders Identity: Jane Jeong Trenka's The Language of Blood (초국가적 입양과 탈경계적 정체성 -제인 정 트렌카의 『피의 언어』)

  • Kim, Hyunsook
    • Journal of English Language & Literature
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    • v.57 no.1
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    • pp.147-170
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    • 2011
  • This paper elucidates the characteristics of transnational adoption, estimates the possibility of beyond-borders identity of transnational adoptees, and tries to analyze Jane Jeong Trenka's The Language of Blood in its context. Though it has been regarded as one of the most humanitarian ways of helping orphans and poor children of the world, transnational adoption, a one-way flow of children from poor Asian countries to rich white countries, has been operated under the market logic between countries. Transnational adoptees, who had been abandoned and forced to be taken away from their birth mother, and later, to fulfill the desire of white parents for a perfect family, perform an ideological labor, serving to make the heterogeneous nuclear family complete. Korean transnational adoptees, forced to transcend the borders of nation, culture, and ethnicity, experience racial conflict and alienation in white adoptive family and society. Their diaspora experience of violent dislocation creates frustration and confusion in establishing their identity as a whole being. When they return to Korea to find their birth mother and their true identity, Korean adoptees, however, are faced with other obstructing issues, such as language problem, culture conflict, and maternal nationalism. Finally, Korean transnational adoptees reject Korean nationalism discourse based on blood, and try to redefine themselves as beyond-borders subjectivities with new and fluid identities. Jane Jeong Trenka's The Language of Blood, an autobiographical novel based on her experiences as a transnational adoptee, represents a Korean adopted girl's personal, cultural, and racial conflict within her white adoptive family, and questions the image of benevolent white mother and the myth of multiculturalism. The novel further represents Jane's return to Korea to find out her true identity, and shows Jane's disappointment and alienation in her birth country due to her ignorance of language and culture. Returning to USA again, and trying to be reconciled with her American mother, Jane shows the promise of accepting her new identity capable of transcending the borders, and thus, the possibility of enlarging the category of belonging.

Youtube Influencer's Startup Strategy Using Lean Startup Technique (린스타트업 기법을 활용한 유튜브 인플루언서의 창업전략)

  • Park, Jeong Sun;Park, Sang Hyeok;Kim, Young Lag
    • The Journal of Information Systems
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    • v.31 no.1
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    • pp.147-173
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    • 2022
  • Purpose As the use of social network services has become common, it has become possible to freely communicate and establish relationships with other people anytime, anywhere for communication and information sharing. Influencers who have a strong influence on consumers' perceptions and attitudes through their own opinions and stories have appeared on various social media channels such as YouTube. Recently, companies utilize influencers with a large number of followers to check interactions with customers to understand customer attitudes and opinions about products in real time. Start-ups with insufficient resources need to quickly examine customer responses to reduce the probability of failure after product planning. The Lean process of creating an MVP and quickly confirming and learning the market response should be repeated over and over again. Findings In this paper, we try to suggest that the YouTube platform can play a sufficient role as a customer experiment space through examples. The case company is a company that has successfully commercialized products by continuously interacting with customers through the YouTube platform for the first four months of its founding. This paper is expected to be helpful in the experimental process for prospective founders and early founders to examine customer responses to reduce the probability of market failure before commercialization. Design/methodology/approach This paper analyzed the YouTube channel data of case companies based on the netnography methodology and presented the contents of the lean process management carried out in the experimental stage and the post-production stage through interview research.

Model Type Inference Attack Using Output of Black-Box AI Model (블랙 박스 모델의 출력값을 이용한 AI 모델 종류 추론 공격)

  • An, Yoonsoo;Choi, Daeseon
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.32 no.5
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    • pp.817-826
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    • 2022
  • AI technology is being successfully introduced in many fields, and models deployed as a service are deployed with black box environment that does not expose the model's information to protect intellectual property rights and data. In a black box environment, attackers try to steal data or parameters used during training by using model output. This paper proposes a method of inferring the type of model to directly find out the composition of layer of the target model, based on the fact that there is no attack to infer the information about the type of model from the deep learning model. With ResNet, VGGNet, AlexNet, and simple convolutional neural network models trained with MNIST datasets, we show that the types of models can be inferred using the output values in the gray box and black box environments of the each model. In addition, we inferred the type of model with approximately 83% accuracy in the black box environment if we train the big and small relationship feature that proposed in this paper together, the results show that the model type can be infrerred even in situations where only partial information is given to attackers, not raw probability vectors.

A FRAMEWORK FOR ACTIVITY-BASED CONSTRUCTION MANAGEMENT SIMILATION

  • Boong Yeol Ryoo
    • International conference on construction engineering and project management
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    • 2009.05a
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    • pp.732-737
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    • 2009
  • Due to various project delivery methods and the complexity of construction projects in the construction industry, developing the framework of construction management for critical, highly complex projects in the construction industry has become problematic. Currently, a set of construction manuals play a pivotal role in planning and managing construction projects as subcontractors try to complete their scope of work according to the instructions of a general contractor. It is challenging for general contractors to write a construction management procedure manual to cover various types of project delivery methods and construction projects. In construction, the construction procedure manuals describe specific actions to be taken through the project. In reality a few contactors own such manuals and their construction schedules include more construction operation activities. Thus, it is hard to estimate the workload and productivity of construction managers because the manual and the schedule do not present the amount of management efforts required to complete a project. This paper proposes a framework to present construction management tasks according to project delivery methods which can be applied to various construction projects. Actions for management tasks were mapped and were integrated with construction activities throughout the project life cycle. The framework can then be used to give specific instructions to project participants, collect management actions, and replicate management actions throughout the project life cycle. The framework can also be can used to visualize complete construction project to analyze and manage construction management activities in each phase of a project in order to enhance productivity and efficiency. The studies of existing construction manuals were carried out to identify construction managers' responsibilities. An artificial intelligence program, CLIPS (C-Language Integrated Production System) was used to search for appropriate actions for impending tasks from a set of predefined actions to be performed for a given situation. The framework would significantly help construction managers to understand interrelations among management tasks or actions within a project. Furthermore, the framework can be embedded into Building Information Modeling (BIM) or Facility Management Systems (FMS) so that designers and constructors would execute constructability review before construction begins.

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