• 제목/요약/키워드: Knowledge Gap

검색결과 428건 처리시간 0.025초

공공기술 기반 창업기업 성장 결정요인: 기술주체의 후속지원을 중심으로 (Determinants of Growth of Public Technology Based Start-up: Focused on Subsequent Support of Technology Subject)

  • 봉강호
    • 지식경영연구
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    • 제21권2호
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    • pp.41-58
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    • 2020
  • A plan to promote public technology-based start-ups as a way to enhance the use of public technology has been emphasized. However, the problem of creating commercial value has persisted due to the lack of reproducibility and readiness of public technology. Although gap exists in the linking process between the public and private sector, it is difficult to find objective empirical evidence as most of them are only qualitative research. Our empirical works examine the impact of subsequent support of the public research institute on the commercialization of public technologies. Then, we analyze how commercialization of public technologies affects the growth of technology-based startups using 2-stage least square (2SLS) model. We find that the linkage with the technology subject contribute to the successful commercialization of public technology, and further to the survival and growth of technology-based start-ups. Our finding suggests that knowledge management system, to facilitate interaction between technology developer and consumers, is needed for the success of public technology-based start-ups.

밸브 구동용 개폐식 솔레노이드 액추에이터의 설계 (A Design of On/Off Type Solenoid Actuator for Valve Operation)

  • 성백주
    • 유공압시스템학회논문집
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    • 제6권4호
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    • pp.24-32
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    • 2009
  • For a design of on/off solenoid actuator for valve actuating, designer must have the experimental knowledge as well as general electromagnetic formulas to design object. It is possible for theoretical knowledge to do the out-line design, but it is impossible to optimal design without experimental knowledge which only can be achieved through many repeated experiments. In addition, in present on/off type solenoid actuator field, the smaller, lightening, lower consumption power, high response time are effected as the most important design factor. So, experimental knowledge is more needed for optimal design of solenoid actuator. In this study, we derived the governing equations for optimal design of on/off solenoid actuator for valve actuating and developed a design program composed electromagnetic theories and experimental parameter values for inexperienced designers. And we proved the propriety of this program by experiments.

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Possibilities and Problems for the Regional Innovation in Japan

  • 송원 굉
    • 한국경제지리학회지
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    • 제11권3호
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    • pp.362-374
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    • 2008
  • Under a knowledge-based economy, regional innovation policies have been treated as important regional policies. In this paper, the author attempts to argue the possibilities and problems for regional innovation in Japan. For this purpose, the author has investigated the development of industry-academy-government collaboration in Ube City which has been designated as one of a number of knowledge cluster projects by the National Government. Ube City is a typical company town and the regional system had been characterized by the vertical relationship between a core company and it's subcontractors. Since the late 19905, the local national university has played an important role to promote cooperation with various types of enterprises, research institutions, and local governments. As such horizontal relationships have become more influential, it is necessary to overcome the gap in interest and knowledge base between the core company and the local university.

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Novice Corpus Users' Gains and Views on Corpus-based Lexical Development: A Case Study of COVID-19-related Expressions

  • Chen, Mei-Hua
    • 아시아태평양코퍼스연구
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    • 제2권1호
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    • pp.1-11
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    • 2021
  • Recently, corpus assisted vocabulary instruction has been attracting a lot of interest. Most studies have focused on understanding language learners' receptive vocabulary knowledge. Limited attention has been paid to learners' productive competence. To fill this gap, this study attended to learners' productive lexical development in terms of form, meaning and use respectively. This study introduced EFL learners to the corpus-based language pedagogy to learn COVID-19 theme-based vocabulary. To investigate the gains and views of 33 EFL first-year college students, a sentence completion task and a questionnaire were developed. Learners' productive performances in the three lexical knowledge aspects (i.e., form, meaning and use) were particularly targeted. The results revealed that the students achieved significant gains in all aspects regardless of their proficiency level. In particular, the less proficient students achieved greater knowledge retention compared with their highly proficient counterparts. Meanwhile, students showed positive attitudes towards the corpus-based approach to vocabulary learning.

Bit-width Aware Generator and Intermediate Layer Knowledge Distillation using Channel-wise Attention for Generative Data-Free Quantization

  • Jae-Yong Baek;Du-Hwan Hur;Deok-Woong Kim;Yong-Sang Yoo;Hyuk-Jin Shin;Dae-Hyeon Park;Seung-Hwan Bae
    • 한국컴퓨터정보학회논문지
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    • 제29권7호
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    • pp.11-20
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    • 2024
  • 본 논문에서는 생성 모델을 이용한 데이터 프리 양자화에서 발생할 수 있는 지식 격차를 줄이기 위하여 BAG (Bit-width Aware Generator)와 채널 어텐션 기반 중간 레이어 지식 증류를 제안한다. 생성 모델을 이용한 데이터 프리 양자화의 생성자는 오직 원본 네트워크의 피드백에만 의존하여 학습하기 때문에, 양자화된 네트워크의 낮은 bit-width로 인한 감소된 수용 능력 차이를 학습에 반영하지 못한다. 제안한 BAG는 양자화된 네트워크와 동일한 bit-width로 양자화하여, 양자화된 네트워크에 맞는 합성 이미지를 생성하여 이러한 문제를 완화한다. 또한, 양자화된 네트워크와 원본 모델 간의 지식 격차를 줄이는 것 역시 양자화에서 매우 중요한 문제이다. 이를 완화하기 위해 제안한 채널 어텐션 기반 중간 레이어 지식 증류는 학생 모델이 교사 모델로부터 어떤 채널에 더 집중해서 학습해야 하는지를 가르친다. 제안한 기법의 효율성을 보이기 위해, CIFAR-100에서 학습한 원본 네트워크를 가중치와 활성값을 각각 3-bit로 양자화하여 학습을 수행하였다. 그 결과 56.14%의 Top-1 Accuracy를 달성하였으며, 베이스라인 모델인 AdaDFQ 대비 3.4% 정확도를 향상했다.

The Role of Employee Engagement on Knowledge Management and Worker Productivity: A Case Study in Sri Lanka

  • KALDEEN, Mubarak;THELIJJAGODA, Samantha;SAMSUDEEN, Sabraz Nawaz
    • The Journal of Asian Finance, Economics and Business
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    • 제8권4호
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    • pp.507-515
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    • 2021
  • Knowledge-Worker Productivity (KWP) has been influenced by Knowledge Management Process (KMP); however, past studies derived inconsistent findings of the relationship between the two variables. Additionally, the effect of KMP on KWP in the context of universities in Sri Lanka has not been adequately studied. Therefore, this present study aims to fill that gap by examining KMP elements' effect, namely knowledge creation, knowledge sharing, and usage on KWP, specifically the timeliness, proficiency, and independence of employees. This study also examines the role of employee engagements (i.e., intellectual, social, and affective) in mediating the effect of KMP on KWP. The questionnaire survey method was utilized to collect data from relevant university employees, i.e., lecturers, senior lecturers, and professors, whereby 264 valid responses were used in the analysis. The associations between KMP, Employee Engagement, and KWP were analyzed using the path analysis and bootstrapping methods. The outcomes demonstrated positive correlations between all three variables. Employee Engagement was shown to have a partial mediating effect on the KMP-KWP association. The general conclusion is that KWP is influenced by its capacity to increase employee engagement via KMP.

클라우드보드: 클라우드 기반 지식 공유 및 제어 시스템 (Cloudboard: A Cloud-Based Knowledge Sharing and Control System)

  • 이재호;최병기;배재형
    • 정보처리학회논문지:소프트웨어 및 데이터공학
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    • 제4권3호
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    • pp.135-142
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    • 2015
  • 소프트웨어가 경쟁력의 핵심이 되는 소프트웨어 중심 사회로 이행되면서 프로그래밍 교육의 중요성이 새롭게 부각되고 있다. 세계적인 조기 코딩 교육 열풍도 이러한 추세를 반영하고 있으나 이를 지원하기 위한 교육 환경에서는 클라우드 컴퓨팅과 같은 새로운 컴퓨팅 환경을 효과적으로 활용함에 제약이 있는 것이 현실이다. 본 논문에서는 클라우드 환경에서 모바일 기기와 로봇을 이용하여 손쉽게 소프트웨어를 개발하고 프로그래밍 교육을 할 수 있는 클라우드 기반 지식 공유 및 제어 시스템인 클라우드보드(Cloudboard)를 제안한다. 특히 군집 로봇 시스템에서 개별 로봇의 센서 정보를 다수의 로봇이 공유하고 협업하여 공동 임무를 수행하도록 할 경우 클라우드보드 기능을 이용하여 손쉽게 프로그램을 개발하여 교육에 활용할 수 있음을 보인다. 클라우드보드의 기능은 기존의 대표적인 아키텍처 패턴을 비교 분석한 결과를 토대로 설계되었으며 실험적으로 효과와 성능을 검증한다.

지식정보 구축 대가의 개발 : 국가직무표준(National Competency Standards)과의 통합 방안을 중심으로 (A Development of a Framework Cost Estimation Model for the Digital Document Database Construction Projects)

  • 김소정;서용원;손영호
    • 한국IT서비스학회지
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    • 제16권3호
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    • pp.47-65
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    • 2017
  • The reference guide for the cost of establishing the digital documents has been used as a basis for establishing the budget for the construction of the knowledge information resource. However, due to the abolition of the nominal unit price notification in terms of IT projects, it is necessary to conduct research to convert the standard of the current labor force grade standard to the national incompetency standard (NCS). In this study, we investigate and revise the system and contents of the current knowledge information cost estimation model. In specific, i) we conducted gap analysis of cost estimation model and existing NCS model. As the contents conforming for the construction of the knowledge information resource were not adoptable, we define the description of the construction of the knowledge information resource and to identify the core elements of NCS prior to the improvement of the cost model. ⅱ) then we proposed improve the cost model considering integration with newly proposed NCS model for knowledge information construction job. In order to ensure the validity of the application of NCS development and cost estimation model, the experts reviewed relevant contents and made plans for improvement by using experts from supply and demand groups of various fields of national knowledge informatization projects.

Utilizing Machine Learning Algorithms for Recruitment Predictions of IT Graduates in the Saudi Labor Market

  • Munirah Alghamlas;Reham Alabduljabbar
    • International Journal of Computer Science & Network Security
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    • 제24권3호
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    • pp.113-124
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    • 2024
  • One of the goals of the Saudi Arabia 2030 vision is to ensure full employment of its citizens. Recruitment of graduates depends on the quality of skills that they may have gained during their study. Hence, the quality of education and ensuring that graduates have sufficient knowledge about the in-demand skills of the market are necessary. However, IT graduates are usually not aware of whether they are suitable for recruitment or not. This study builds a prediction model that can be deployed on the web, where users can input variables to generate predictions. Furthermore, it provides data-driven recommendations of the in-demand skills in the Saudi IT labor market to overcome the unemployment problem. Data were collected from two online job portals: LinkedIn and Bayt.com. Three machine learning algorithms, namely, Support Vector Machine, k-Nearest Neighbor, and Naïve Bayes were used to build the model. Furthermore, descriptive and data analysis methods were employed herein to evaluate the existing gap. Results showed that there existed a gap between labor market employers' expectations of Saudi workers and the skills that the workers were equipped with from their educational institutions. Planned collaboration between industry and education providers is required to narrow down this gap.