• The Journal of Asian Finance, Economics and Business
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• 제8권2호
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• pp.533-543
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• 2021

This study aims to determine and analyze the effect of social shopping, adventure shopping, value shopping, relaxation shopping, and idea shopping in influencing impulsive online buying behavior moderated by scarcity and serendipity information. The research method used is the quantitative research paradigm using surveys as a medium to obtain primary data. The paper examines the theoretical research model and tested fifteen hypotheses. The questionnaire was developed based on indicators from previous research. A non-probability sampling framework is used in this study. The data collection method uses electronic and online questionnaires to collect primary data with a total sample of 330 taken with the criteria of having made transactions in e-commerce Shopee in the last three months. Data analysis tools using Structural Equation Modelling (SEM) approach. The results showed that 8 out of 15 hypotheses were accepted and supported. The results show that there is a relationship between the value of hedonic shopping, scarcity, and serendipity information on impulsive online buying behavior. Therefore, analyzing the needs of customers, optimizing customer satisfaction, service excellence, website quality, and the ease of use of e-shopping itself especially in the e-commerce industry should be taken seriously nowadays.

• International Journal of Internet, Broadcasting and Communication
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• 제13권3호
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• pp.84-91
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• 2021

The purpose of this study is to investigate the structural relationship between resort selection attributes, emotional responses, and empirical values of scuba diving participants. The general population who enjoys scuba diving in Korea was selected as the population. Using the convenience sampling method, 553 of the 600 questionnaire samples were extracted as the final valid sample. For data processing, frequency analysis, exploratory factor analysis, and Cronbach's α test were performed using SPSS 23, and confirmatory factor analysis and structural equation model analysis were performed with AMOS 18. The results are as follows: First, among the sub-factors of selection attributes, equipment, facility environment, and diving point showed a positive effect on emotional response, but staff service did not have any significant effect. Second, the emotional response positively affected by the selection attribute showed a positive effect on all factors of service excellence, consumer utility, fun value, and aesthetic value of empirical value. Therefore, scuba diving resort managers must recognize the importance of equipment, facility environment, and diving point among these selection attributes of customers. And to satisfy the customer needs the resort must accurately identify the needs for diving equipment, facility environment and diving point. Various methods for this should be explored through the needs of the identified customers, and efforts should be made to provide safe equipment, comfortable facilities, and various diving points.

• 한국컴퓨터정보학회논문지
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• 제27권10호
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• pp.245-254
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• 2022

본 연구는 기존 연구를 바탕으로 OTT 서비스에 대한 선택요인들을 도출하고, 각 평가 요소에 대한 가중치를 산출하기 위하여 AHP 분석모형을 제시하였다. OTT 서비스 선택요인들을 평가하기 위해서 OTT 서비스를 이용하는 고객들을 대상으로 수집된 자료를 분석에 활용하였다. 본 연구의 결과, OTT 서비스의 1단계 선택요인들인 경제성, 시스템 우수성, 편의성, 다양성, 유희성, 응대성 중에서 다양성이 가장 중요한 요인으로 나타났다. 1단계 요인과 2단계 요인의 가중치를 종합화한 결과에서는 오락이 가장 중요한 요인으로 나타났다. 마지막으로 본 연구는 성별, 연령에 따라 OTT 서비스 1단계 선택요인의 가중치에 차이가 있는지 분석했다. 본 연구를 통해서 소비자들이 OTT 서비스를 이용할 때 어떤 요인을 중요하게 고려하는지를 파악할 수 있을 것이다.

• 스마트미디어저널
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• 제12권9호
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• pp.95-102
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• 2023

개인정보의 활용 가치가 높아짐에 따라, 개인정보를 제공하는 방법에 대한 논의가 활발하나, 개인정보 활용을 위해 기관에서 필요로 하는 정보는 필요 이상의 정보가 노출되고 있다. 따라서 개인정보 보호의 문제점과 한계를 극복하기 위한 개인의 프라이버시 보호는 필수적이다. 본 연구에서는 개인정보의 중앙집중형 ID 관리(Centralized Identity Management)방법의 문제와 한계를 극복하고, 정보 소유자 스스로 자신의 개인정보를 관리하고 선택적으로 제공하는 탈중앙화 정보 관리(Decentralized Identity Information Management)모델을 제시하고, 실험을 통하여 PBFT 합의 알고리즘에서 스마트 개인정보 제공 시스템(SPIPS: Smart Personal Information Provision System)을 구현하여 개인 정보의 우수성을 보인다.

• 한국과학교육학회지
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• 제28권7호
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• pp.768-778
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• 2008

The most important factor in students' growth and development is the teacher. Therefore in-service science teacher education to develop the professionality is important as well as the selection of new excellence teachers. Our research is on the development and application of new education program on science experiments where in-service teachers become the lecturers in the program and provide information that is bound to the context of real lessons. This program is consisted of following 10 steps of work, which was implemented in 5 months: sharing the philosophy of the program, selecting science experiments, first application of the experiments, discussion on the first application, learning how to edit the movie clips of the lesson, second application of the experiments, in depth discussion on the second application, developing the experiment package, giving lecture to other science teachers, and evaluating the program. We describe the process of the program developed and implemented in detail to suggest a model of science teacher education program on science experiments and discuss educational implications. This program is characterized by the emphasis of the context closely linked to the real lessons, the problem solving in a real situation, and the collaboration of teachers, professors and science education researcher in a teacher education.

• 한국건설관리학회논문집
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• 제17권3호
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• pp.23-31
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• 2016

국내 시공책임형 CM 시장은 용역형 CM 시장보다 활성화 되지 못하고 있다. 그 이유는 발주자의 시공책임형 CM 서비스에 대한 신뢰성 부족과 CM기업의 전문성 시스템 사업성 부족에 기인한 것으로 분석된다. 따라서 본 연구에서는 시공책임형 CM 사업의 수주저하 원인에 대한 규명을 비즈니스 모델 캠버스에 기반한 사업진단을 통해 문제점을 분석하고, 전문가와의 1:1 면담을 통해 비즈니스 모델 개선 방향을 설정하였다. 이를 기반으로 기존 시공책임형 CM 서비스의 개선방안을 9개의 빌딩 블록(고객세분화, 고객관계, 채널, 가치제안, 핵심자원, 핵심활동, 핵심파트너십, 수익창출, 수익구조)으로 나누어 세부 활동에 대해 제시하였다. 이처럼 비즈니스 모델 캠버스 기반의 시공책임형 CM 비즈니스 모델의 정착과 성공적 실행을 통한 선순환 비즈니스로의 전환을 위해서는 고객과의 원활한 커뮤니케이션, 협력업체 강화, 프로젝트 운영의 탁월성 제고를 위한 혁신활동이 선행되어야 할 것으로 분석되었다. 본 연구에서 제시한 비즈니스 모델은 시공책임형 CM에 대한 경쟁력 향상과 타사와의 차별화 전략에 기여할 수 있을 것으로 기대한다. 또한 향후 시공책임형 CM 비즈니스 모델 개발에 기초 자료로 활용될 수 있을 것으로 판단된다.

• 한국축산식품학회지
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• 제40권6호
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• pp.1014-1032
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• 2020

This work aimed to investigate the psychobiotic effects of six bacterial strains on the mind and behavior of male Wistar rats. The probiotic (PRO) group (n=7) were rats pre-treated with antibiotics for 7 days followed by 14-day probiotic administration, antibiotics (ANT) group (n=7) were rats treated with antibiotics for 21 days without probiotics. The control (CON) group (n=7) were rats that received sham treatment for 21 days. The six bacterial strains with probiotic properties were mostly isolated from Thai fermented foods; Pedicoccus pentosaceus WS11, Lactobacillus plantarum SK321, L. fermentum SK324, L. brevis TRBC 3003, Bifidobacterium adolescentis TBRC 7154 and Lactococcus lactis subsp. lactis TBRC 375. The probiotics were freeze-dried into powder (6×10⁹ CFU/5 g) and administered to the PRO group via oral gavage. Behavioral tests were performed. The PRO group displayed significantly reduced anxiety level and increased locomotor function using a marble burying test and open field test, respectively and significantly improved short-term memory performance using a novel object recognition test. Antibiotics significantly reduced microbial counts in rat feces in the ANT group by 100 fold compared to the PRO group. Probiotics significantly enhanced antioxidant enzymatic and non-enzymatic defenses in rat brains as assessed using catalase activity and ferric reducing antioxidant power assay, respectively. Probiotics also showed neuroprotective effects with less pyknotic cells and lower frequency of vacuolization in cerebral cortex. This multi-strain probiotic formulation from Thai fermented foods may offer a potential to develop psychobiotic-rich functional foods to modulate human mind and behaviors.

• 기술혁신학회지
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• 제20권2호
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• pp.292-312
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• 2017

본 연구는 금융기관의 여신심사용 기술력 평가모형의 직접 활용 타당성 및 가능성을 검증하기 위해 첫째, 기술력 평가모형이 기업의 경영성과를 반영하고 있는지, 둘째, 현재의 기술등급 분류체계가 적절한지, 셋째, 그렇다면 기술등급 분류체계를 결정하는 중요 평가항목은 무엇인지를 검증하였다. 분석결과 재무적 성과(안정성), 비재무적 성과(기술환경)는 기술등급을 설명하는데 유의한 변수임이 증명되었다. 기술등급 분류체계는 군집 간 모든 평가항목(대항목 2개, 중학목 8개)에서 유의한 차이가 나타났으며, 평가항목의 상대적 중요도는 큰 차이를 보이지는 않았지만 기술금융 적합여부와 기술력 우수여부를 결정하는 1순위 변수로는 기술개발능력이 선정되었다. 기술금융 적합여부에 있어 2순위 변수로는 기업 경영관련 지표가, 기술력 우수기업 여부는 기술력 기반의 경쟁력 지표가 선정되었다. 종합하면 기술력 평가모형은 기업의 경영성과와 위험을 일정부분 반영한 모형이며, 기본적으로 기술개발능력을 중심으로 경영능력과 기술진보에 의한 경쟁력을 더하여 기술기반 중소기업의 미래를 예측하는 모형임을 의미한다. 이는 '미래진보성(forward-looking)' 기능의 기술력 평가모형이 기존의 신용평가모형과 결합했을 때 평가모형으로서 예측력과 안정성 개선에 긍정적 요인으로 작용할 수 있는 가능성이 있음을 시사한다.

• International Journal of Control, Automation, and Systems
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• 제6권5호
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• pp.677-688
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• 2008

In this paper, the general problem of impedance control for a robotic manipulator with a moving flexible base is addressed. Impedance control imposes a relation between force and displacement at the contact point with the environment. The concept of impedance control of flexible base mobile manipulator is rather new and is being considered for first time using singular perturbation and new sliding mode control methods by authors. Initially slow and fast dynamics of robot are decoupled using singular perturbation method. Slow dynamics represents the dynamics of the manipulator with rigid base. Fast dynamics is the equivalent effect of the flexibility in the base. Then, using sliding mode control method, an impedance control law is derived for the slow dynamics. The asymptotic stability of the overall system is guaranteed using a combined control law comprising the impedance control law and a feedback control law for the fast dynamics. As first time, base flexibility was analyzed accurately in this paper for flexible base moving manipulator (FBMM). General dynamic decoupling, whole system stability guarantee and new composed robust control method were proposed. This proposed Sliding Mode Impedance Control Method (SMIC) was simulated for two FBMM models. First model is a simple FBMM composed of a 2 DOFs planar manipulator and a single DOF moving base with flexibility in between. Second FBMM model is a complete advanced 10 DOF FBMM composed of a 4 DOF manipulator and a 6 DOF moving base with flexibility. This controller provides desired position/force control accurately with satisfactory damped vibrations especially at the point of contact. This is the first time that SMIC was addressed for FBMM.

• International Journal of Concrete Structures and Materials
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• 제7권3호
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• pp.225-238
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• 2013

In this study, a two-layer feed-forward neural network was constructed and applied to determine a mapping associating mix design and testing factors of cement-nano silica (NS)-rice husk ash ternary blended concrete samples with their performance in conductance to the water absorption properties. To generate data for the neural network model (NNM), a total of 174 field cores from 58 different mixes at three ages were tested in the laboratory for each of percentage, velocity and coefficient of water absorption and mix volumetric properties. The significant factors (six items) that affect the permeability properties of ternary blended concrete were identified by experimental studies which were: (1) percentage of cement; (2) content of rice husk ash; (3) percentage of 15 nm of $SiO_2$ particles; (4) content of NS particles with average size of 80 nm; (5) effect of curing medium and (6) curing time. The mentioned significant factors were then used to define the domain of a neural network which was trained based on the Levenberg-Marquardt back propagation algorithm using Matlab software. Excellent agreement was observed between simulation and laboratory data. It is believed that the novel developed NNM with three outputs will be a useful tool in the study of the permeability properties of ternary blended concrete and its maintenance.