• Title/Summary/Keyword: Expert's technology

Search Result 500, Processing Time 0.028 seconds

A Study on the Improvement of Patent Agent's Role in Patent Infringement Litigation (특허침해소송에서 변리사의 역할 개선 방안에 대한 연구)

  • Cho, Myunggeun;Lee, Hwansoo
    • Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
    • /
    • v.8 no.4
    • /
    • pp.35-44
    • /
    • 2018
  • Unlike other lawsuits, patent infringement litigation is a very difficult case to grasp without expert knowledge of the patented technology. The Patent Agent Act seems to recognize the legal representation of patent agent in Article 8, but the Constitutional Court and the Court have refused to recognize patent agent's legal representation right in the patent infringement suit. In this regard, constant controversy is taking place among patent agents and lawyers. This study examines the measures to enhance the effectiveness and professionalism of patent litigation in patent infringement litigation. This study analyzes the role of patent attorneys in patent infringement lawsuits in major countries and derive rational alternatives. As a result, it is inappropriate to restrict the attorneys' automatic acquisition of patent attorneys' qualifications or revise the patent attorneys' law in relation to the patent attorney's right of proxy. In the case of litigation parties, it is a desirable alternative to introduce a revised patent attorney system for the fundamental problem solving and to allow the litigants to reasonably choose the litigation agent.

Improved Model for Index of Construction Engineer's Competency Evaluation System in Domestic Construction Management (국내 건설사업관리 기술인력 역량평가 개선모델(I2CEC))

  • Kang, Seongmi;Cha, Minsu;Lee, Woojae;Ji, Woojong;Cho, Hunhee;Yoo, Wisung
    • Korean Journal of Construction Engineering and Management
    • /
    • v.21 no.2
    • /
    • pp.47-58
    • /
    • 2020
  • The ICEC (Index of Construction Engineer's Competency) quantifies the competence of construction engineers using such parameters as experience, education, and qualifications and assigns four technical grades (expert, advanced, intermediate, and beginners) to construction engineers according to their scores for the efficient management and loading of technical personnel. However, as of 2020, the seventh year since its implementation, ICEC has shown many problems in its application, unlike its intended purpose. So institutional supplementation is required to provide improvement measures that can cope with the changing labor market environment and complement the current ICEC. Therefore, this study examined the current status of the career management system after the introduction of the ICEC, suggested a career index proportional to the competence of construction engineers from the beginner to the expert level, and developed an effective capability evaluation model I2CEC. The improved model presented in this study provides a means to comprehensively judge the performance, experience, and the professional work abilities of construction management engineers. Furthermore, the results of this study are expected to contribute to the development of efficient manpower and career management systems for enhancing the competitiveness of the domestic construction industry.

Learning Diagnosis & Prescription Service in Cyber Home Learning System : Improvements on User Experience by doing Usability Evaluation (사이버가정학습 진단처방학습관리시스템 사용성 평가 및 학습 경험 개선 방향 도출)

  • Cha, Hyun-Jin;Ahn, Mi-Lee
    • 한국HCI학회:학술대회논문집
    • /
    • 2009.02a
    • /
    • pp.876-883
    • /
    • 2009
  • Learning Diagnosis & Prescription Service(LDPS) in Cyber Home Learning System is a educational service which provides customized learning contents based on student's academic level and individualized counseling and comments after diagnosing learner's study habits beyond the past e-Learning systems which offer the same contents to different students. For a national point of view, it is a crucial project in public education to achieve the goals of the next-generation e-Learning service by making a lot efforts both in time and money. However, those efforts has been made, not in terms of providing a better quality of service and a better user experience in a effective and enjoyable way, but in terms of developing the technology-driven system. Therefore, in this study, two types of usability evaluations has been conducted in order to enhance a user experience on the LDPS. One is the expert reviews by utilizing the usability evaluation tools (heuristics) which was focused on educational contexts developed by Suh Young-suhk(2007). The other is the user testing with students who have done think-aloud during the evaluation, remembering their retrospective experience with LDPS, and the interview with teachers & service operators were conducted. As the implications on the research, this is an effort to provide an user-friendly educational system for the students nationwide.

  • PDF

Basic Architecture of Navigation Safety Module in S2 Service of Korean e-Navigation System

  • Yoo, Yun-Ja;Kim, Tae-Goun;Moon, Serng-Bae
    • Journal of Navigation and Port Research
    • /
    • v.42 no.5
    • /
    • pp.311-316
    • /
    • 2018
  • IMO introduced the concept of e-Navigation and proposed MSPs(Maritime Service Portfolios) concept to reduce marine accidents, to improve efficiency of ship operation, port operation, and ship operation technology. Korean e-Navigation defines S1 ~ S5 services, as the service concept focused on domestic e-Navigation service corresponding to IMO MSPs, and is constructing a system as an ongoing project. S2 service (onboard system remote monitoring service) among the concepts of Korean e-Navigation services, is a service concept that judges the emergency level according to risk if an abnormal condition occurs during navigation, and provides corresponding guidance to accident ships based on emergency level. The purpose of this paper is to provide a basic architecture proposal of Korean e-Navigation S2 service navigation safety module, based on the S2 service operation concept. To do this, we conducted a questionnaire survey to ask experts with experience with sailors, to respond to the subjective risk experienced by sailors considering effects of anomalies, including equipment failure relative to sailing and navigational safety. Risk level for each abnormal condition was classified. The basic algorithm design of the navigation safety module is composed of safety index (SI) calculation module based on results of questionnaire and expert opinions, safety level (SL) determination module according to safety index, and corresponding guidance generation module according to safety level. To conduct basic validation of basic architecture of the navigation safety module, simulation of the ship anomaly monitoring was performed, and results have been revealed.

A Study on Personalization of Science and Technology Information by User Interest Tracking Technique (개인 관심분야 추적기법을 이용한 과학기술정보 개인화에 관한 연구)

  • Han, Heejun;Choi, Yunsoo;Choi, Sung-Pil
    • Journal of the Korean Society for Library and Information Science
    • /
    • v.52 no.3
    • /
    • pp.5-33
    • /
    • 2018
  • In this paper, we analyze a user's usage behavior, identify and track search intention and interest field based on the National Science and Technology Standard Classification, and use it to personalize science and technology information. In other words, we sought to satisfy both efficiency and satisfaction in searching for information that users want by improving scientific information search performance. We developed the personalization service of science and technology information and evaluated the suitability and usefulness of personalized information by comparing the search performance between expert experimental group and control group. As a result, the personalization service proposed in this study showed better search performance than comparative service and proved to provide higher usability.

Deep Learning Model Selection Platform for Object Detection (사물인식을 위한 딥러닝 모델 선정 플랫폼)

  • Lee, Hansol;Kim, Younggwan;Hong, Jiman
    • Smart Media Journal
    • /
    • v.8 no.2
    • /
    • pp.66-73
    • /
    • 2019
  • Recently, object recognition technology using computer vision has attracted attention as a technology to replace sensor-based object recognition technology. It is often difficult to commercialize sensor-based object recognition technology because such approach requires an expensive sensor. On the other hand, object recognition technology using computer vision may replace sensors with inexpensive cameras. Moreover, Real-time recognition is viable due to the growth of CNN, which is actively introduced into other fields such as IoT and autonomous vehicles. Because object recognition model applications demand expert knowledge on deep learning to select and learn the model, such method, however, is challenging for non-experts to use it. Therefore, in this paper, we analyze the structure of deep - learning - based object recognition models, and propose a platform that can automatically select a deep - running object recognition model based on a user 's desired condition. We also present the reason we need to select statistics-based object recognition model through conducted experiments on different models.

A Study on Radio Wave Resource Management and Industrial Technology Revitalization in The Medical and Energy Fields (의료 및 에너지 분야 전파 자원 관리 및 산업 기술 활성화 방안에 대한 연구)

  • Yoon, Sang-Ok;Seok, Gyeong-Hyu
    • The Journal of the Korea institute of electronic communication sciences
    • /
    • v.17 no.4
    • /
    • pp.543-554
    • /
    • 2022
  • In this study, the government's investment, laws, regulations, and difficulties related to IoT radio technology in the energy and medical fields are mainly analyzed. Also, plans for dissemination, technology preemption, and commercialization are derived to enhance global competitiveness. Research on ways to secure and predict radio wave application technologies in energy and medical fields, and to alleviate barriers to entry for new business operators. Analyzes the efficiency of support measures using expert groups in each energy and medical field, analyzes the utilization value of accumulated data, and proposes mid- to long-term promotion systems and support measures, as well as utilization measures of data held by external agencies related to radio waves.

Exploring the Potential of ChatGPT in Advertising Photography: A Case Study and Validity Research on Elements in Each Production Stage (광고사진 제작에서 ChatGPT의 활용 가능성 탐색: 사례 분석 및 제작 단계별 요소의 타당성 연구)

  • Yan-Song Zhang;Yoo-Jin Kim
    • The Journal of the Convergence on Culture Technology
    • /
    • v.9 no.3
    • /
    • pp.205-211
    • /
    • 2023
  • In this study, we analyzed the potential application and validity of ChatGPT, an artificial intelligence technology currently gaining attention across various fields, for the creation of advertising photographs. To do this, we examined the relationship between the visual elements of advertising photographs and language, and investigated use cases of ChatGPT in advertising. Furthermore, we analyzed the elements of each stage in the advertising photograph creation process and conducted expert interviews to determine the validity of ChatGPT's application in these stages. The results revealed that, although somewhat limited, the feasibility of using ChatGPT was found to be high in the planning stage of advertising photographs, but lower in the actual shooting and post-production stages. Considering these findings, it is necessary to continuously monitor the progress of AI technology and strive to enhance the creativity and efficiency of advertising photograph production through collaboration between technology and humans.

Traditional Dyeing of Natural Indigo on the Silk Fabric (명주의 전통 쪽 염색 방법에 관한 연구)

  • Chung, In-Mo;Kim, Hyn-Bok;Sung, Gyoo-Byung;Kim, Yong-Dae;Hong, In-Pyo
    • Journal of Sericultural and Entomological Science
    • /
    • v.47 no.1
    • /
    • pp.31-35
    • /
    • 2005
  • This study had done to find an easily-dyeing method for novices because the dyeing method of traditional indigo has not been general to the public so that only an expert could dye the fibers. The results are as the following. When the powders after burning the shell of cockle (tegillarca granosa) were added. pH of the solution was 12.35 The k/s value of 2.49 was the highest in the dye after dipping in the solution of indigo for 1-2 days and the k/s value was 3.10 when adding 20 g/l of the starch (55% corn-starchy products in Korean market) into the solution of indigo. In addtion, the k/s value was the highest when fermenting temperature was $30^{\circ}C$ and when the powders after burning the cockle shell were 4 g/l. There were no differences between water and lye of rice straw which had used for the ferment of indigo. The components of two dye which has traditionally made of the cockle shell and which has made of calcium hydroxide were all the same.

Analysis of Risk Factors in Ex-Ante Evaluation of Large-Scale Government R&D Programs (대형 R&D사업 사전평가에서의 위험요인에 대한 인식 분석)

  • Lee, Yoon Been;Yoon, Ji Woong
    • Journal of Korea Technology Innovation Society
    • /
    • v.17 no.2
    • /
    • pp.289-308
    • /
    • 2014
  • We analyze the risk factors identified for ex-ante evaluation regarding government R&D programs. In particular, we empirically examined to what extent each risk factor is perceived to be important by the stage of R&D, technology field, researcher's career and experience. The empirical results show that technology risk is perceive to be less important for basic research, while market risk more perceived to be important in the IT field. Political risk is perceived to be less important for the university faculty, while researchers with government R&D project experience gave more value to legal risk factor.