• Title/Summary/Keyword: Smart Framework

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AUX Model for restoring and analyzing Associative User Experience informations (연상된 사용자 경험정보 축척 및 분석을 위한 AUX 모델)

  • Ryu, Chun-Yeol;Yang, Hae-Sool
    • The Journal of the Korea Contents Association
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    • v.11 no.12
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    • pp.586-596
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    • 2011
  • In the IT industry, processing units of IT applications are getting smaller and high efficient. Furthermore, the realization of various smart functions is highly feasible now due to advances in sensing technology. The service infrastructures on high efficient and compact mobile devices are applied to various areas. These also could be possessed by users and is built into the devices. Currently, studies on the UX(User Experience) field to attempt an analysis and prediction of user's information are continuing with reference to the UI(User Interface). However, research on the common framework of classification and storing the user-information, and standardization of form has not been attempted yet. In this study, we proposed the AUX(Associative user Experience) model and process structure to store various empirical data by users. The AUX model expressed a diversity of user's empirical data using extended E-TCPN model. And also, we expressed the data structure using XML with reference to the application of AUX model. This expressed model and separation of process structure guarantee its specialty, productivity and flexibility through the humanistic characteristics of users and the independence of technical process structure. The AUX model maps out the AUX information process architecture and expressed the process with the improved MPP algorithm, to analyze of its performance. The simulation of movements applying to MPP traffic allocation of VOD is used to analyze of its performance. The playback deviation of MPP Graphic Allocation Algorism where the AUX model was applied was improved by 10.41% more than the one where it was not applied. As a result of that, playback performance has improved due to the conversion of AUX with accessing media, content of users and dynamic traffic allocation such as MPI and CPI.

A Study on UI Prototyping Based on Personality of Things for Interusability in IoT Environment (IoT 환경에서 인터유저빌리티(Interusability) 개선을 위한 사물성격(Personality of Things)중심의 UI 프로토타이핑에 대한 연구)

  • Ahn, Mikyung;Park, Namchoon
    • Journal of the HCI Society of Korea
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    • v.13 no.2
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    • pp.31-44
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    • 2018
  • In the IoT environment, various things could be connected. Those connected things learn and operate themselves, by acquiring data. As human being, they have self-learning and self-operating systems. In the field of IoT study, therefore, the key issue is to design communication system connecting both of the two different types of subjects, human being(user) and the things. With the advent of the IoT environment, much research has been done in the field of UI design. It can be seen that research has been conducted to take complex factors into account through keywords such as multi-modality and interusability. However, the existing UI design method has limitations in structuring or testing interaction between things and users of IoT environment. Therefore, this paper suggests a new UI prototyping method. In this paper, the major analysis and studies are as follows: (1) defined what is the behavior process of the things (2) analyzed the existing IoT product (3) built a new framework driving personality types (4) extracted three representative personality models (5) applied the three models to the smart home service and tested UI prototyping. It is meaningful with that this study can confirm user experience (UX) about IoT service in a more comprehensive way. Moreover, the concept of the personality of things will be utilized as a tool for establishing the identity of artificial intelligence (AI) services in the future.

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A Study on the Activation for the Mobile App Services of Local Government (지방자치단체의 모바일 앱 서비스 이용 활성화 방안에 관한 연구: 부산광역시를 중심으로)

  • Jung, Su Hee;Hong, Soon Goo;Cha, Yoon Sook;Kim, Jong Weon
    • Journal of Korea Society of Industrial Information Systems
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    • v.18 no.2
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    • pp.71-83
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    • 2013
  • Because of rapid advance of wireless Internet-related technology and fast diffusion of Smart phone, a variety of mobile applications through domestic and foreign app stores have been made and used. Under the recognition of current trend, both central government and local government have developed and provided public mobile app in order to accomplish the mobile e-government. However, public mobile app is not popular in spite of vast investment for its development and service. This study investigated current issues and problems of public mobile app in public service, management, and technology aspects. To do so, this study categorized the interested people of public mobile app into users, providers, and developers, and conducted deep interviews to them. Based on the interview results, the study suggested the following recommendations for the activating tools of public mobile app: providing user-customized information, fruitfulness of public information management, maintenance of management system for public mobile app service, user-friendly promotion appropriate in mobile environment, public mobile app development based on e-government standard framework, etc.. This study may provide the researchers with the successive study guidelines in mobile e-government and public mobile app fields. Also, the study may help the practitioners to make effective decisions on polices and strategies for mobile e-government of local government.

Analysing the Differences in the Patterns of their Decision-Making and Personalities of Discourses for Socio-Scientific Issues as Argumented by Pre-Service Biology Teachers (의사결정 유형 및 성격특성에 따른 예비생물교사들의 SSI(Socio-Scientific Issues) 토론 담화 차이 분석)

  • Choi, Go-Eun;Cha, Heeyoung
    • Journal of The Korean Association For Science Education
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    • v.38 no.5
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    • pp.739-751
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    • 2018
  • The purpose of this study is to identify the differences of argumentation discourses for Socio-Scientific Issues in the types of decision-making and personality traits of pre-service biology teachers. For this study, SSI discussion topics were selected according to four types of decision making: logical reasoning, suggestion of complement, emotional base, and internal conflict. Three groups were constructed based on personality traits such as extroversion, acceptability, and integrity. Each three group used the workbook specially developed and freely used the smart device for discussion. A recorder and a camcorder were used to record each group, their behavior was recorded and the written materials during the discussion were collected for the results. Using Walton's analysis framework, the collected data analyzed in terms of the source of utterance, the process of dialogue shift, and the critical movements that can judge the reasoning of utterance. As a result of the study, it was confirmed that the decision-making type of SSI topics and learners' personalities were influential in the decision-making process of SSI small group discussions. This research shows that there is a need to develop instructional materials considering decision-making types and learners' personality types of students as well as pre-service teachers for SSI discussion.

Renaissance of Geographic Education in the United States since 1980: Its Dynamic Process and Implications to Geographic Education in Korea (1980년대 이후 美國 地理敎育 復興運動의 展開過程과 그 示唆點: 地理學, 地理敎育, 그리고 敎育政策의 關係)

  • Seo, Tae-Yeol
    • Journal of the Korean Geographical Society
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    • v.28 no.2
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    • pp.163-178
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    • 1993
  • The purpose of this paper is to provide a better understanding of the unprecedented reform movement of geographic education in the United States since 1980 and extract some implications from this movement for geographic education in Korea. For the purpose, the history to this movement was reviewed through following three stages. In the first stage(1980~1984: form :HSGP" to :"Guideline"), the voluntary improvement movement appeared at California and the orgni-zational movement began in 1982 such as the Committee on Geography and International Knowledge. The national educational refrom imperatives, presented at "A Nation at Risk", and "Back to Basics" movement provided good opportunities to resurrect geography as a basic subject. For next real resurrection movement, the very important document "Guidelines for Geographic Education" was published at 1984. In the second stage(1985~1989: from "Guide-lines" to "Public"), the "Guideline" gave power-full motives and foci for reconstructiong the contents of geography, especially by the five fundamental themes(Location, Place, Relation-ships within Places, Movement, and Region). Also GENIP as the symbol of unity of all four major geography organization(AAG, NCGE, NGS, AGS) contributed to expanding and stren-gthening geography education. Also Geography Educagtion Program of NGS was a smart and well organized program to improve geographic education through it's a five strategies: Grass-roots organization(Alliances), Teacher education, Pu-blic awareness, Educational materials develo-pment, Targeted outreach to education decision-makers. In the late 1980s, the last focus of movement was the Public awareness and Edua-ction decision-making. In the third stage(1990-present: from "Public" to "Core Subject"), the initiative pendulum swung from geography organization to nation curricu-lum. In this National Curriculum, Geography was approved as a "Core Subject" and The 1994 National Geography Assessment Framework was constructed to assess the outcome of student's education in geography in grades, 4,8, and 12. Some Implications extracted from the process and contents of renaissance movement of geogr-aphic education in the Uinted States since 1980 are as follows. First, It shows the importance of the unity and target assignment among the geography organization. Second, interactive relationship between the academic geography and school geography develops each other. Third, teacher education, including pre-service education, including pre-service education and in-service education, is a key element to improve the quality of geography. And teacher organization is a good clearing house to exchange information for good geography. Forth, the positive and active response to changes in socketies such as globalism and inter-nationalizing, national education policy, and the trend of pedagogy is needed to rejuvenate geo-graphic education. Above all, we need to establish a well organized and powerfull program, sophisticated activities strategies, and long-term implementa-tion plan if we want more and better school geography.

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A Novel Reference Model for Cloud Manufacturing CPS Platform Based on oneM2M Standard (제조 클라우드 CPS를 위한 oneM2M 기반의 플랫폼 참조 모델)

  • Yun, Seongjin;Kim, Hanjin;Shin, Hyeonyeop;Chin, Hoe Seung;Kim, Won-Tae
    • KIPS Transactions on Computer and Communication Systems
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    • v.8 no.2
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    • pp.41-56
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    • 2019
  • Cloud manufacturing is a new concept of manufacturing process that works like a single factory with connected multiple factories. The cloud manufacturing system is a kind of large-scale CPS that produces products through the collaboration of distributed manufacturing facilities based on technologies such as cloud computing, IoT, and virtualization. It utilizes diverse and distributed facilities based on centralized information systems, which allows flexible composition user-centric and service-oriented large-scale systems. However, the cloud manufacturing system is composed of a large number of highly heterogeneous subsystems. It has difficulties in interconnection, data exchange, information processing, and system verification for system construction. In this paper, we derive the user requirements of various aspects of the cloud manufacturing system, such as functional, human, trustworthiness, timing, data and composition, based on the CPS Framework, which is the analysis methodology for CPS. Next, by analyzing the user requirements we define the system requirements including scalability, composability, interactivity, dependability, timing, interoperability and intelligence. We map the defined CPS system requirements to the requirements of oneM2M, which is the platform standard for IoT, so that the support of the system requirements at the level of the IoT platform is verified through Mobius, which is the implementation of oneM2M standard. Analyzing the verification result, finally, we propose a large-scale cloud manufacturing platform based on oneM2M that can meet the cloud manufacturing requirements to support the overall features of the Cloud Manufacturing CPS with dependability.

Suitability Evaluation for Simulated Maneuvering of Autonomous Vehicles (시뮬레이션으로 구현된 자율주행차량 거동 적정성 평가 방법론 개발 연구)

  • Jo, Young;Jung, Aram;Oh, Cheol;Park, Jaehong;Yun, Dukgeun
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.21 no.2
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    • pp.183-200
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    • 2022
  • A variety of simulation approaches based on automated driving technologies have been proposed to develop traffic operations strategies to prevent traffic crashes and alleviate congestion. The maneuver of simulated autonomous vehicles (AVs) needs to be realistic and be effectively differentiated from the behavior of manually driven vehicles (MVs). However, the verification of simulated AV maneuvers is limited due to the difficulty in collecting actual AVs trajectory and interaction data with MVs. The purpose of this study is to develop a methodology to evaluate the suitability of AV maneuvers based on both driving and traffic simulation experiments. The proposed evaluation framework includes the requirements for the behavior of individual AVs and the traffic stream performance resulting from the interactions with surrounding vehicles. A driving simulation approach is adopted to evaluate the feasibility of maneuvering of individual AVs. Meanwhile, traffic simulations are used to evaluate whether the impact of AVs on the performance of traffic stream is reasonable. The outcome of this study is expected to be used as a fundamental for the design and evaluation of transportation systems using automated driving technologies.

Multiple damage detection of maglev rail joints using time-frequency spectrogram and convolutional neural network

  • Wang, Su-Mei;Jiang, Gao-Feng;Ni, Yi-Qing;Lu, Yang;Lin, Guo-Bin;Pan, Hong-Liang;Xu, Jun-Qi;Hao, Shuo
    • Smart Structures and Systems
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    • v.29 no.4
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    • pp.625-640
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    • 2022
  • Maglev rail joints are vital components serving as connections between the adjacent F-type rail sections in maglev guideway. Damage to maglev rail joints such as bolt looseness may result in rough suspension gap fluctuation, failure of suspension control, and even sudden clash between the electromagnets and F-type rail. The condition monitoring of maglev rail joints is therefore highly desirable to maintain safe operation of maglev. In this connection, an online damage detection approach based on three-dimensional (3D) convolutional neural network (CNN) and time-frequency characterization is developed for simultaneous detection of multiple damage of maglev rail joints in this paper. The training and testing data used for condition evaluation of maglev rail joints consist of two months of acceleration recordings, which were acquired in-situ from different rail joints by an integrated online monitoring system during a maglev train running on a test line. Short-time Fourier transform (STFT) method is applied to transform the raw monitoring data into time-frequency spectrograms (TFS). Three CNN architectures, i.e., small-sized CNN (S-CNN), middle-sized CNN (M-CNN), and large-sized CNN (L-CNN), are configured for trial calculation and the M-CNN model with excellent prediction accuracy and high computational efficiency is finally optioned for multiple damage detection of maglev rail joints. Results show that the rail joints in three different conditions (bolt-looseness-caused rail step, misalignment-caused lateral dislocation, and normal condition) are successfully identified by the proposed approach, even when using data collected from rail joints from which no data were used in the CNN training. The capability of the proposed method is further examined by using the data collected after the loosed bolts have been replaced. In addition, by comparison with the results of CNN using frequency spectrum and traditional neural network using TFS, the proposed TFS-CNN framework is proven more accurate and robust for multiple damage detection of maglev rail joints.

Structural Relationships of Cognitive, Emotional, and Behavioral Evaluations of Coffee Shops (커피 전문점의 인지적, 감정적, 그리고 행위적 평가의 구조적 관계)

  • KIM, Jin-Young
    • The Korean Journal of Franchise Management
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    • v.13 no.3
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    • pp.31-43
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    • 2022
  • Purpose: Service quality is a topic of constant interest in marketing research and practitioners. Service quality is an important factor influencing performance even in the context of coffee shops, and research on service quality management strategies continues by coffee shop researchers and practitioners. The service quality of coffee shops is a source of competitive advantage and is an important factor in enhancing customer and business performance. This study aims to identify the effects of cognitive evaluation on emotional and behavioral responses using a cognitive-emotional-behavioral framework and SOR model in the coffee shop context. Cognitive evaluation (service quality) consists of tangibles, responsiveness, assurance, reliability, and empathy dimensions. Research design, data, and methodology: In the proposed model, positive and negative emotions and satisfaction mediate the relationship between service quality and money to spend and visit frequency. The data were collected from customers who visited a coffee shop within the last 1 month. The survey was conducted for about one month. Among a total of 300 distributed questionnaires 261 responses were used for data analysis. The data were analyzed using frequency analysis, measurement model analysis, and structural equation modeling analysis with SPSS 28.0 and SmartPLS 4.0. Results: Tangibles, responsiveness, assurance, and empathy had significant positive effects on positive emotion, while only reliability had a significant negative effect on negative emotion. Both positive and negative emotions had significant positive effects on customer satisfaction, but not on money to spend and visit frequency. Lastly, customer satisfaction had significant positive effects on money to spend and visit frequency. Conclusions: The study revealed the relative weight of cognitive factors on customer emotions and confirmed the validity of SOR model. The fact that tangibility is the most important factor in increasing positive emotions and reliability is the most important factor in reducing negative emotions provides a direction for emotional branding strategies using the service quality mix of coffee shops. This study confirmed the full mediating role of satisfaction between positive and negative emotions and consumer behaviors (money to spend and visit frequency). This infers that when a coffee shop increases customer satisfaction through customer emotion management, the customer's money to spend and visit frequency in the coffee shop increases.

The Effect of Entrepreneurial Mentoring Quality on Educational Satisfaction, Recommendation Intention and Entrepreneurial Intention : Focused on Female College Students (창업 멘토링 기능이 교육만족과 추천의도 그리고 창업의도에 미치는 영향 : 여대생을 중심으로)

  • Bae, Jee-Eun;Han, In-Su;Lee, Phil-Soo
    • The Korean Journal of Franchise Management
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    • v.8 no.2
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    • pp.25-36
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    • 2017
  • Purpose - Recently, entrepreneurship education has been revitalized with interest in entrepreneurship. Entrepreneurship education is an educational service activity that is provided for entrepreneurship and individual start-up success within a certain period of time. According to previous studies on entrepreneurship and entrepreneurship, the satisfaction of entrepreneurship education affects entrepreneurship and as a result increases entrepreneurship. In recent years, the number of female entrepreneurs has also increased as the number of entrepreneurial issues has increased. Based on previous studies, this research proposed the theoretical framework about the structural relationships among mentoring quality (career development, psychological social, role modeling), education satisfaction, recommendation intention and entrepreneurial intention. This study is to find out the possibility of attempting to create a theoretical basis for entrepreneurial mentoring education in entrepreneurship education program. Research design, data, and methodology - In this model, mentoring quality consists of three sub-dimensions such as career development, psychological social, and role modeling. In order to test research model and hypotheses, the data were collected from 203 female college students who participated in entrepreneurial education. The data were analyzed using frequency analysis, confirmatory factor analysis, correlation analysis, and structural equational modeling with SPSS 24.0 and SmartPLS 3.0 statistical program. Result - The results of the study are as follows. First, role modeling has a positive effect on recommendation intention and entrepreneurial intention. Second, career development has a strong negative effect on the entrepreneurial intention. Third, career development and role modeling had a positive effect on educational satisfaction, and educational satisfaction had positive influence on recommendation intention and entrepreneurial intention. Conclusions - As women's social advancement becomes more active, start-up support programs including entrepreneurship mentoring are increasing. The results of this study suggest how to use the mentoring program mix and how to allocate the resources for the education program when the entrepreneurial education manager plans and executes the mentoring education program. For example, this study shows that career development and role modeling enhance educational satisfaction, and in turn increase recommendation intention and entrepreneurial intention. This means that entrepreneurship education should consist of contents that include career development functions such as sponsorship, guidance, protection, and provision of challenging work. In addition, the findings of this study indicate that mentors should perform the function of allowing the participants to have confidence and professional thinking ability at the time of start up based on their experiences.