• 대한공업교육학회지
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• v.39 no.2
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• pp.1-18
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• 2014

This study took existing invention intellectual property related textbooks being utilized in secondary vocational education, analyzed the formation status of 'key learning elements' reflection ratio and drew optimum key learning elements formation ratio by invention intellectual property education content required in secondary vocational education in the future. For this, the study task was set up as 'what kind and how much of invention intellectual property key learning elements are in the invention intellectual property textbook education content now and what is the desirable ratio of each key learning elements in the future'. To resolve this task, 3 specialists analyzed the invention intellectual property education content reflection status and optimum reflection ratio by invention intellectual property education content required in the future is suggested by Delphi survey. The results of this study are as following. First, the result of analysis on invention intellectual property key learning elements included in the invention patent recognition books being utilized in secondary vocational education was that the books included all key learning elements; however, some textbooks have the trend of concentrating in D area (problem-solving activities). Second, the result of analysis on the reflection ratio by invention intellectual property education content area in the invention patent recognition books being utilized in secondary vocational education was that there was the trend in most textbooks that they concentrate in intellectual property creation area; while some textbooks deal with intellectual property protection area and intellectual property utilization area. Regarding by achievement type, knowledge area was main in all textbooks. Meanwhile, function area is dealt in invention patent basic, invention and problem-solving and design textbooks. Attitude area is not dealt or is dealt insufficiently in most textbooks. Third, the optimum reflection ratio of invention intellectual property education key learning elements required in secondary vocational education in the future as obtained by specialists' delphi survey was that it is necessary to decrease D (problem-solving activities) 17.7% area, E(invention fusion knowledge) 2.9% area, K(patent application) 6.9% and L(patent information investigation) area 9.6%. Regarding the optimum reflection ratio of invention intellectual property education content, it is suggested that the invention literacy area 3.1%, intellectual property creation area 4.5% and intellectual property protection area 10.6% would be decreased; while intellectual property utilization area 17.7% would be increased. Regarding optimum reflection ratio of achievement type, it is suggested that knowledge area 52% would be decreased; while function area 32.3% and attitude area 19.6% would be increased.

• Journal of Korea Technology Innovation Society
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• v.20 no.3
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• pp.781-804
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• 2017

Video surveillance industry as a high-tech industry has traits that a pace of source technology development is slow while a pace of application technology development is fast. Unlike domestic companies have shown technological excellence in the field of video surveillance hardware, global leading companies are leading technologies in the field of intelligence video surveillance which would lead the future of the industry. Therefore, technology selection of the domestic companies determines the viability of the company with respect to the terms of market competitiveness reinforcement. In order to achieving this, find out the technology areas where the global leading companies are focused on analysis of global patents. After global patents analysis, identify the status of domestic technologies and analyze the difference between the global leading companies and the domestic companies. Decompose the technologies by element technology-application matrix which is obtained through a panel discussion of domestic SMEs' CTO, CEO, or other experts, they derive the necessary R&D opportunity technologies to ensure the future competitiveness of the company.

• Journal of Korea Society of Industrial Information Systems
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• v.23 no.2
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• pp.63-73
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• 2018

Academia and research institutes mainly use qualitative methods that rely on expert judgments to understand and predict research trends and science and technology trends. Since such a technique has the disadvantage of requiring much time and money, in this study, science and technology trends were predicted using keyword network analysis. To that end, 13,618 AI (Artificial Intelligence) patent abstracts were analyzed using keyword network analysis in three separate lots based on the period of the submission of each abstract: analysis period 1 (January 1, 2002 - December 31, 2006), analysis period 2 (January 1, 2007 - December 31, 2011), and analysis period 3 (January 1, 2012 - December 31, 2016). According to the results of frequency analyses, keywords related to methods in the field of AI application appeared more frequently as time passed from analysis period 1 to analysis period 3. In keyword network analyses, the connectivity between keywords related to methods in the field of AI application and other keywords increased over time. In addition, when the connected keywords that showed increasing or decreasing trends during the entire analysis period were analyzed, it could be seen that the connectivity to methods and management in the field of AI application was strengthened while the connectivity to the field of basic science and technology was weakened. According to analysis of keyword connection centrality, the centrality value of the field of AI application increased over time. According to analysis of keyword mediation centrality during analysis period 3, keywords related to methodologies in the field of AI application showed the highest mediation value. Therefore, it is expected that methods in the field of AI application will play the role of powerful intermediaries in AI hereafter. The technique presented in this paper can be employed in the excavation of tasks related to regional innovation or in fields such as social issue visualization.

• International Journal of Knowledge Content Development & Technology
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• v.2 no.2
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• pp.17-29
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• 2012

All academic information on the web or elsewhere has its creator, that is, a subject who has created the information. The subject can be an individual, a group, or an institution, and can be a nation depending on the nature of the relevant information. Most information is composed of a title, an author, and contents. An essay which is under the academic information category has metadata including a title, an author, keyword, abstract, data about publication, place of publication, ISSN, and the like. A patent has metadata including the title, an applicant, an inventor, an attorney, IPC, number of application, and claims of the invention. Most web-based academic information services enable users to search the information by processing the meta-information. An important element is to search information by using the author field which corresponds to a personal name. This study suggests a method of efficient indexing and using the adjacent operation result ranking algorithm to which phrase search-based boosting elements are applied, and thus improving the accuracy of the search results of personal names. It also describes a method for providing the results of searching co-authors and related researchers in searching personal names. This method can be effectively applied to providing accurate and additional search results in the academic information services.

• Health Policy and Management
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• v.4 no.2
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• pp.111-125
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• 1994

In developing total hospital information system, large amount of time and expense are to be spent while its results are likely to lead itself to end-users' dissatisfaction. Some of the main complaints on the part of end-users come from insufficient consideration of end-users environment as well as inappropriate representation of their requirement in the system alalysis and design. This papre addresses some advantages of Essential Logical Modeling Process for better analysis and design, explaining by example the developmental process of the Patent Management and Accounting System for a tertiary care hospital. In the case, the Essential Model, suggested by McMenamin and Palmer, proved to be an effective tool for clear separation of analysis and design phase and for better communication among system developers and with end-users. The modeling process itself contributed to better program modularity as well, shown in a Structured Chart. Difficulties in learning how to identify' essential activities' for the modeling practice were experienced in the beginnins stage, which were, however, overcome by elaborating some heuristic guideling and by rdferring to necessary tools including State Transition Diagram, Control Flow Diagram, and so many. While full evaluation of the Essential Model usag remains to wait till the completion of the case project, its strengt in making clear distinction between analysis and design phase was enough to be attractive to system analysts. The model concepts are open to many further application fields, particularly such areas as business re engineering, process remodeling, office automation, and organizational restructuring.

• Clinical and Experimental Pediatrics
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• v.49 no.12
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• pp.1363-1366
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• 2006

Aneurysmal dilatation of the ductus arteriosis has been considered a rare but potentially fatal abnormality. The mechanism of ductal aneurysmal formation remains uncertain. Plain chest radiography has proven helpful in the diagnosis of ductus arteriosus aneurysm (DAA), before the application of transthoracic echocardiography. The transthoracic echocardiography is an important tool for the diagnosis and follow-up of DAA. We present a case of congenital ductus arteriosus aneurysm in a newborn, that was an incidental discovery. The diagnosis was made by echocardiography, three-dimensional surface rendering computed tomography (CT), and spontaneous regression after four weeks of follow-up.

• Journal of Korean Institute of Industrial Engineers
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• v.43 no.3
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• pp.213-228
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• 2017

Augmented reality (AR), which is a live direct or indirect view of a real-world environment combined with virtual objects, has grown rapidly owing to its wide application potential. Despite the growth of AR technology and its increased attraction, however, little attention has been paid to identifying sub-technologies of this technology and their evolving trends based on the data encompassing industrial competition. In the present study, therefore we collect AR-related patents granted until 2015 and then identify technology topics constituting AR technology by applying topic modeling to the patents' textual data. Subsequently, this study determines dynamic evolving trends with respect to those identified technology topics using indicators and maps based on the technology topics' patents and citations. The contributions of this study are twofold; it provides an overall understanding of AR technology's evolving trends based on text mining of AR patents and will assist technology experts in academia and industry in determining further R&D in the near future.

• Journal of Korean Traditional Oncology
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• v.11 no.1
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• pp.1-21
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• 2006

This study was undertaken to evaluate safety and antitumor activity of Nexia, a processed extract of Rhus verniciflua STOKES by heating according to Korean patent 0504160 through toxicology, cancer research and clinical application. Nexia did not exhibit any toxicological symptoms through 13 week continuous treatment, dosage accumulation study and anaphylaxis response. The lifespan of four patients with acute lymphocytic leukemia under complete remission were 110, 83, 97, and 86 months after treatment of Nexia, respectively. These data suggest that Nexia, a processed extract by removing allergen from Rhus verniciflua STOKES, may have safety and antitumor activity and also still need continuous study on its mechanism and clinical trial.

• Journal of Korea Multimedia Society
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• v.11 no.5
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• pp.567-578
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• 2008

For analyzing a huge amount of web pages available in the Internet, we need to extract the encoded information in web pages. In this paper, we propose a method to extract and convert web information from web pages into XML documents for multidimensional analysis. For extracting information from web pages, we propose two languages: one for describing web information extraction rules based on the object-oriented model, and another for describing regular expressions of HTML tag patterns to search for target information. For multidimensional analysis on XML documents, we propose a method for constructing an XML warehouse and various XML cubes from it like the way we do for relational data. Finally, we show the validness of our method through the application to US patent web pages.

• International Journal of Internet, Broadcasting and Communication
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• v.9 no.4
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• pp.31-37
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• 2017

Recently Drone technology is emerging as an alternative new way of distribution systems services. Amazon, Google which are global network chain distribution companies are developing an idea of Drone based delivery service and applied for patent for Drone distribution systems in USA. In this paper, we investigate a way to adopt Drone system to Air Cargo logistics, in particular, drone system based on combination of Light ID and RFID technology in the management procedure in stock warehouse. Also we explain the expected impact of Drone systems to customs declaration process. In this paper, we address the investigated limitations of Drone by the Korean Aviation Act as well as suggest the directions of future research for application of Drone to Air logistics industry with investigated limitations.