• 제목/요약/키워드: practical interaction

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손동작 인식 시스템을 위한 동적 학습 알고리즘 (Dynamic Training Algorithm for Hand Gesture Recognition System)

  • 김문환;황선기;배철수
    • 한국정보전자통신기술학회논문지
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    • 제2권2호
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    • pp.51-56
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    • 2009
  • 본 논문에서는 카메라-투영 시스템에서 비전에 기반을 둔 손동작 인식을 위한 새로운 알고리즘을 제안하고 있다. 제안된 인식방법은 정적인 손동작 분류를 위하여 푸리에 변환을 사용하였다. 손 분할은 개선된 배경 제거 방법을 사용하였다. 대부분의 인식방법들이 같은 피검자에 의해 학습과 실험이 이루어지고 상호작용에 이전에 학습단계가 필요하다. 그러나 학습되지 않은 다양한 상황에 대해서도 상호작용을 위해 동작 인식이 요구된다. 그러므로 본 논문에서는 인식 작업 중에 검출된 불완전한 동작들을 정정하여 적용하였다. 그 결과 사용자와 독립되게 동작을 인식함으로써 새로운 사용자에게 신속하게 온라인 적용이 가능하였다.

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컨조인트 분석에서 실용적인 설계, 분석 및 컨셉 최적화 (Practical Designs, Analysis and Concepts Optimization in Conjoint Analysis)

  • 임용빈;정종희;김주혜
    • 응용통계연구
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    • 제28권5호
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    • pp.951-963
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    • 2015
  • 마케팅 분야에서 활용되는 컨조인트 분석은 속성들간의 시너지 효과 혹은 적대적(상충적)인 효과의 존재 여부를 파악하는데 관심이 있다. 즉, 속성들의 모든 주효과와 이인자 교호작용효과의 크기 추정에 관심이 많다. 본 연구에서는 해상도가 V인 균형된 불완전 블록 일부요인설계를 이용함으로써 속성들의 모든 주효과와 이인자 교호작용효과들을 추정 가능하게 하는 설문지 문항의 설계 방법에 관해서 연구를 한다. 전체 응답자들에 대한 설문지 문항들의 총 묶음으로 구성된 설문지 자료를 분석하여 핵심적인 소수 효과들을 선별하고, 유의한 속성효과들로 표현된 적절한 모형을 찾은 다음에, 효율적인 컨셉 최적화를 수행한다.

손동작 인식 시스템을 위한 동적 학습 알고리즘 (Dynamic Training Algorithm for Hand Gesture Recognition System)

  • 배철수
    • 한국정보통신학회논문지
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    • 제11권7호
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    • pp.1348-1353
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    • 2007
  • 본 논문에서는 카메라-투영 시스템에서 비전에 기반을 둔 손동작 인식을 위한 새로운 알고리즘을 제안하고 있다. 제안된 인식방법은 정적인 손동작 분류를 위하여 푸리에 변환을 사용하였다. 손 분할은 개선된 배경 제거 방법을 사용하였다. 대부분의 인식방법들이 같은 피검자에 의해 학습과 실험이 이루어지고 상호작용에 이전에 학습단계가 필요하다. 그러나 학습되지 않은 다양한 상황에 대해서도 상호작용을 위해 동작 인식이 요구된다. 그러므로 본 논문에서는 인식 작업 중에 검출된 불완전한 동작들을 정정하여 적용하였다. 그 결과 사용자와 독립되게 동작을 인식함으로써 새로운 사용자에게 신속하게 온라인 적용이 가능하였다.

Inter-Territorial Collaboration in the Context of Strengthening Its Economic Security

  • Hlazov, Oleksandr;Kalashnikova, Khrystyna;Zolotarov, Volodymyr;Levchenko, Iaroslava;Britchenko, Igor;Losonczi, Peter
    • International Journal of Computer Science & Network Security
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    • 제21권12spc호
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    • pp.675-683
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    • 2021
  • An article is devoted to developing the concept of inter-territorial collaboration in the context of strengthening its economic security. This concept is based on the study of international experience and successful OTG functioning in Ukraine. The idea includes directions, forms, tools, procedures, and financial sources for joint projects that strengthen territorial associations' economic security. The research consists of assessing the state of economic development of territorial communities and forms of their cooperation with other territorial communities. Analysis, synthesis, induction, and deduction are the main methods of scientific knowledge used to summarize statistical information, normative and legal support, and global experience of cooperation of territorial communities. The study results include the main areas of cooperation of territorial communities in Ukraine, including long-term collaboration. The study also contains successful examples of collaboration between different territorial communities, applying practical aspects and tools to form effective interaction. The main points of discussion concern various forms of interaction between territorial communities, which allow achieving the economic goal more quickly and effectively.

Social Media News in Crisis? Popularity Analysis of the Top Nine Facebook Pages of Bangladeshi News Media

  • Al-Zaman, Md. Sayeed;Noman, Mridha Md. Shiblee
    • Journal of Information Science Theory and Practice
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    • 제9권2호
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    • pp.18-32
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    • 2021
  • Social media has become a popular source of information around the world. Previous studies explored different trends of social media news consumption. However, no studies have focused on Bangladesh to date, where social media penetration is very high in recent years. To fill this gap, this research aimed to understand its popularity trends during the period. For that reason, this work analyzes 97.67 million page likes and 3.48 billion interaction data collected from nine Bangladeshi news media's Facebook pages between December 2016 to November 2020. The analysis shows that the growth rates of page likes and interaction rates declined during this period. It suggests that the media's Facebook pages are gradually losing their popularity among Facebook users, which may have two more interpretations: Facebook's aggregate appeal as a news source is decreasing to users, or Bangladeshi media's appeal is eroding to Facebook users. These findings challenge the previous results, i.e., Facebook's demand as a news source is increasing with time. We offer four explanations of the decreased popularity of Facebook's news: information overload, exposure to incidental news, users' selective exposure and different aims of using Facebook, and conflict between media agendas and users' interests. Some theoretical and practical significance of the results has been discussed as well.

AI기반 음성인식 서비스 특성과 상호 작용성 및 이용 의도 간의 구조적 관계 (The Structural Relationships of between AI-based Voice Recognition Service Characteristics, Interactivity and Intention to Use)

  • 이서영
    • 한국IT서비스학회지
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    • 제20권5호
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    • pp.189-207
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    • 2021
  • Voice interaction combined with artificial intelligence is poised to revolutionize human-computer interactions with the advent of virtual assistants. This paper is analyzing interactive elements of AI-based voice recognition services such as sympathy, assurance, intimacy, and trust on intention to use. The questionnaire was carried out for 284 smartphone/smart TV users in Korea. The collected data was analyzed by structural equation model analysis and bootstrapping. The key results are as follows. First, AI-based voice recognition service characteristics such as sympathy, assurance, intimacy, and trust have positive effects on interactivity with the AI-based voice recognition service. Second, the interactivity with the AI-based voice recognition service has positive effects on intention to use. Third, AI-based voice recognition service characteristics such as interactional enjoyment and intimacy have directly positive effects on intention to use. Fourth, AI-based voice recognition service characteristics such as sympathy, assurance, intimacy and trust have indirectly positive effects on intention to use the AI-based voice recognition service by mediating the effect of the interactivity with the AI-based voice recognition service. It is meaningful to investigate factors affecting the interactivity and intention to use voice recognition assistants. It has practical and academic implications.

Beyond design basis seismic evaluation of underground liquid storage tanks in existing nuclear power plants using simple method

  • Wang, Shen
    • Nuclear Engineering and Technology
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    • 제54권6호
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    • pp.2147-2155
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    • 2022
  • Nuclear safety-related underground liquid storage tanks, such as those used to store fuel for emergency diesel generators, are critical components for safety of hundreds of existing nuclear power plants (NPP) worldwide. Since most of those NPP will continue to operate for decades, a beyond design base (BDB) seismic screening of safety-related underground tanks in those NPP is beneficial and essential to public safety. The analytical methodology for buried tank subjected to seismic effect, including a BDB seismic evaluation, needs to consider both soil-structure and fluid-structure interaction effects. Comprehensive analysis of such a soil-structure-fluid system is costly and time consuming, often subjected to availability of state-of-art finite element tools. Simple, but practically and reasonably accurate techniques for seismic evaluation of underground liquid storage tanks have not been established. In this study, a mechanics based solution is proposed for the evaluation of a cylindrical underground liquid storage tank using hand calculation methods. For validation, a practical example of two underground diesel fuel tanks in an existing nuclear power plant is presented and application of the proposed method is confirmed by using published results of the computer-aided System for Analysis of Soil Structural Interaction (SASSI). The proposed approach provides an easy to use tool for BDB seismic assessment prior to making decision of applying more costly technique by owner of the nuclear facility.

Current methodologies in construction of plant-pollinator network with emphasize on the application of DNA metabarcoding approach

  • Namin, Saeed Mohamadzade;Son, Minwoong;Jung, Chuleui
    • Journal of Ecology and Environment
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    • 제46권2호
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    • pp.126-135
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    • 2022
  • Background: Pollinators are important ecological elements due to their role in the maintenance of ecosystem health, wild plant reproduction, crop production and food security. The pollinator-plant interaction supports the preservation of plant and animal populations and it also improves the yield in pollination dependent crops. Having knowledge about the plant-pollinator interaction is necessary for development of pesticide risk assessment of pollinators and conservation of endangering species. Results: Traditional methods to discover the relatedness of insects and plants are based on tracing the visiting pollinators by field observations as well as palynology. These methods are time-consuming and needs expert taxonomists to identify different groups of pollinators such as insects or identify flowering plants through palynology. With pace of technology, using molecular methods become popular in identification and classification of organisms. DNA metabarcoding, which is the combination of DNA barcoding and high throughput sequencing, can be applied as an alternative method in identification of mixed origin environmental samples such as pollen loads attached to the body of insects and has been used in DNA-based discovery of plant-pollinator relationship. Conclusions: DNA metabarcoding is practical for plant-pollinator studies, however, lack of reference sequence in online databases, taxonomic resolution, universality of primers are the most crucial limitations. Using multiple molecular markers is preferable due to the limitations of developed universal primers, which improves taxa richness and taxonomic resolution of the studied community.

온라인 컨벤션 서비스품질이 참가자 행동의도에 미치는 영향 (Effect of Online Convention Service Quality on Participant's Behavior Intention)

  • 양준희;이병철
    • 무역학회지
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    • 제47권3호
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    • pp.93-110
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    • 2022
  • This study aims to develop online convention service quality and examine the effect of online convention service quality on re-participation intention in the same convention and other types of online conventions. Based on an extensive literature review, the study chose five main factors of online convention service quality: human service, program service, platform service, platform aesthetics, and interaction. A total of 284 data were collected from online convention participants from July 26 to August 6, 2021. For the hypotheses test, multiple regression analysis was used. As a result, interaction and program service quality had positive effects on re-participation intention in the same convention, but except for platform aesthetic, all factors positively affected re-participation intention in other types of online conventions. This study also found that online service quality factors are more helpful in predicting the intention of re-participation in other types of online conventions rather than re-participation in the same convention. Based on the results, theoretical and practical implications were discussed

Exploring the Effectiveness of Smart Education in a College Writing Course Utilizing Multimedia Learning Tools

  • Si-Yeon Pyo
    • 실천공학교육논문지
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    • 제16권2호
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    • pp.143-150
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    • 2024
  • With the development of AI, multimedia tools in education offer personalized learning environments, which foster individual competencies. This study aims to examine the effectiveness of smart education as perceived by learners through a case study of university writing classes utilizing multimedia learning tools, and to explore potential applications. To achieve this, a writing course incorporating various multimedia tools to promote interaction was designed and implemented over the course of one semester, targeting 42 university students. Through the semester, student reactions and survey results were analyzed to investigate the effects and satisfaction levels regarding the use of multimedia learning tools in writing instruction as perceived by students. The analysis revealed that multimedia-assisted writing classes effectively fostered learners' autonomy by focusing on individual needs, while also promoting interaction and encouraging spontaneous participation. Students reported recognizing the presence of diverse perspectives by comparing and communicating about each other's writing, leading to an expansion of their own thinking. In using ChatGPT, it was found that students attempted to refine their questions until they obtained the desired answers. They reported that this process deepened their understanding of the essence of the questions. These benefits led to results of high levels of students' active class engagement and satisfaction. This study contributes foundational and empirical data regarding the effectiveness and potential applications of learner-centered smart education as part of fourth industrial revolution integration research.