• Journal of Agricultural Extension & Community Development
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• v.9 no.2
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• pp.173-183
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• 2002

This study reviewed a broad range of existing reform options, and on the basis of this review proposed a number of initiatives for institutional reform in developing countries. This strategies were intended to help FAO staff to provide guidance to the developing countries for the reform of their agricultural and rural extension systems. The paper defines the distinction among extension as a function, agricultural extension as part of a larger knowledge triangle, and agricultural and rural extension as an expanded concept of knowledge and information systems. The focus is on new measures that promote food security, market-driven system, and highly competitive agribusiness enterprises. Moreover, this study focus on the tensions that exist between the modern force of globalization and the traditional forces of culture, geography, and community.

• Journal of the Korean Institute of Rural Architecture
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• v.8 no.1
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• pp.43-51
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• 2006

Architectural design works are proceeded by the collaboration of experts working in many fields, but the traditional method of collaboration, so to speak offline collaboration, has limitation on time and space. The meeting agenda is not well organized in the meeting. Often there are so many items to discuss, that some get left out, and remain unaddressed. The knowledge relying on people's memory is not always accurate. To solve the above problems, we would like to suggest web-based collaboration system in architectural design and provide contents which are called checklists and knowledge database for collaboration.

• ALGAE
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• v.21 no.4
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• pp.349-375
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• 2006

The application of modern ecological, ultrastructural and molecular methods, aided by the cultivation of numerous cyanobacterial morphotypes, has substantially changed our knowledge of these organisms. It has led to major advances in cyanobacterial taxonomy and criteria for their phylogenetic classification. Molecular data provide basic criteria for cyanobacterial taxonomy; however, a correct phylogenetic system cannot be constructed without combining genetic data with knowledge from the previous 150 years research of cyanobacterial diversity. Thus, studies of morphological variation in nature, and modern morphological, ultrastructural, ecophysiological and biochemical characters need to be combined in a “polyphasic” approach. Taxonomic concepts for generic and infrageneric ranks are re-evaluated in light of combined phenotypic and molecular criteria. Despite their usefulness in experimental studies, the limitations of using strains from culture collections for systematic and nomenclatural purposes is highlighted. The need for a continual revision of strain identification and proper nomenclatural practice associated with either the bacteriological or botanical codes is emphasized. Recent advances in taxonomy are highlighted in the context of prospects for understanding cyanobacterial diversity from natural habitats, and the evolutionary and adaptational processes that cyanobacteria undergo.

• Knowledge Management Research
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• v.19 no.1
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• pp.175-202
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• 2018

The aim of this conceptual article is to explore the sharing economy ecosystem concept in innovation policy context with cluster, innovation system, smart specialization and business ecosystem approaches. This study conducts comparative study to understand what has been changed by sharing economy through Uber case in four cities. By analyzing vital constructs in sharing economy ecosystem, we suggest how sharing economy ecosystem works, and presenting core factors in policy framework of sharing economy ecosystem. In addition, we attempt to explain that policy maker should consider the relationship between these factors. The result of this paper shows sharing economy ecosystem has developed with their characteristics and constructs that are different with traditional industry.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.9
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• pp.2942-2960
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• 2022

The core of cognitive radio is the problem concerning intelligent decision-making for communication parameters, the objective of which is to find the most appropriate parameter configuration to optimize transmission performance. The current algorithms have the disadvantages of high dependence on prior knowledge, large amount of calculation, and high complexity. We propose a new decision-making model by making full use of the interactivity of reinforcement learning (RL) and applying the Q-learning algorithm. By simplifying the decision-making process, we avoid large-scale RL, reduce complexity and improve timeliness. The proposed model is able to find the optimal waveform parameter configuration for the communication system in complex channels without prior knowledge. Moreover, this model is more flexible than previous decision-making models. The simulation results demonstrate the effectiveness of our model. The model not only exhibits better decision-making performance in the AWGN channels than the traditional method, but also make reasonable decisions in the fading channels.

• ETRI Journal
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• v.40 no.2
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• pp.197-206
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• 2018

Multiple-input multiple-output (MIMO) systems offer significant enhancements in terms of their data rate and channel capacity compared to traditional systems. However, correlation degrades the system performance and imposes practical limits on the number of antennas that can be incorporated into portable wireless devices. The use of switched parasitic antennas (SPAs) is a possible solution, especially where it is difficult to obtain sufficient signal decorrelation by conventional means. The covariance matrix represents the correlation present in the propagation channel, and has significant impact on the MIMO channel capacity. The results of this work demonstrate a significant improvement in the MIMO channel capacity by using SPA with the knowledge of the covariance matrix for all pattern configurations. By employing the "water-pouring algorithm" to modify the covariance matrix, the channel capacity is significantly improved compared to traditional systems, which spread transmit power uniformly across all the antennas. A condition number is also proposed as a selection metric to select the optimal pattern configuration for MIMO-SPAs.

• Korea journal of population studies
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• v.26 no.2
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• pp.175-195
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• 2003

This paper investigates spatial distribution of the knowledge-information occupations by utilizing Geographical Information System(GIS). The knowledge-information occupations, comprised mainly of professionals, engineers and managers, have played a key role in the knowledge-based information society. The uneven development of bureaucratization and informatization among regions have resulted in unequal spatial distribution of the knowledge-information occupations. Analysis of 1995 and 2000 Census shows that these occupations tend to concentrate in some major metropolitan areas, while the other areas show rather traditional occupational structure. This spatial unequality has been also found in the occupational distribution within Seoul. This tendency of spatial concentration in the occupational distribution inherited from the industrial society and is not going to diminish in the knowledge-information society. More aggressive policies to make the most of decentralizing impacts of information and communication technologies should be implemented to counter-balance this tendency.

• Journal of Korean Society of Forest Science
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• v.107 no.4
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• pp.456-477
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• 2018

We analyzed the data on medicinal plants and related traditional knowledge in Korea and China using data analysis method. There are 108 families 214 genera 542 species, and 202 families 660 genera 1,261 species were found in Korea and China respectively. Total of 86 families (79.6%) and 130 genera (60.7%) were in common both countries. More than one information were recorded in many species, however, there was only one information from some species (32.7% of genera in Korea, and 58.8% of genera in China). The most frequent appeared plant family was Compositae (Asteraceae) in both countries (8.4% in Korea and 10.7% in China) and followed by Rosecease and Leguminocae (Fabaceae). Plant parts were classified 11 parts and roots were mostly used in Korea and whole plants in China. Usages were described in different terms of ailments or symptoms. There are 120 usage in Korea and 230 in China. Plant uses for the ailment or symptoms are pain, digestive system disorder, cold and etc. in Korea. In China, plants were mostly used for clear heat, digestive system disorder, cough and etc. Relation between the plant and ailment(symptom) of the top 10 plants in Korea and China was different although from same plant family. We also analyzed the relations between plant species and part used, and plants parts and ailment(symptom). With the data analysis method, we were able to collect the medicinal plant resources data and found the differences in plant resources, usage, and plant part for use. The result provide important information of the plant resources and related traditional knowledge of Korea for use of plant resources in industry and facilitate to plan a strategy to cope with Nagoya Protocol in the future.

• The Korean Journal of Food And Nutrition
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• v.21 no.2
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• pp.243-255
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• 2008

This study was performed to offer basic data base on traditional Korean festival foods for a traditional Korean food data integration system, that is based on literature reviews. The Korean lunar calendar has seasonal divisions reflecting traditional Korean holidays. In the past, there were many customs corresponding to emotions, and foods were in accordance with customs, festivals, and seasons. Today, we are well aware of the traditional Korean foods of New Year's Day(Seollal), the Korean Harvest Festival(Chuseok), the First Full Moon Day(Jeongwol Daeboreum), the Winter Solstice(Dongji), and the hottest summer day(Sambok). However, many other traditional Korean holidays are disappearing from the modem Korean life-style. This study made the following classifications for traditional Korean festivals. Seollal(Seol), Ipchun, and Jeongwol Daeboreum in January; Junghwajeol in February; Samjinnal in March; Hansik and Chopail in April; Dano in May; Yudu and Sambok in June; Chilseok and Baekjung in July; Chuseok in August; Jungyangjeol in September; Siwolmuoil in October; Dongji in November; and Napil and Seotdal Geumeum in December. The familiar traditional Korean festival foods are as follows: Seollal's festival foods consist of 5 main dishes, 35 side dishes, 12 kinds of tteok lyou, 21 kinds of hangwa lyou, 2 kinds of emchong lyou, and 3 kinds classified as others; this includes tteokguk, manduguk, galbijjim, sinseollo, jeon, pyunyuk, kimch, tteok, sikhe, sujunggwa, fruits, and seju on Seollal. The festival foods for Jeongwol Daeboreum consist of 3 main dishes, 27 side dishes, 5 kinds of tteok lyou, 3 kinds of hangwa lyou, 4 kinds of emchung lyou, and 3 kinds classified as others; this includes ogokbap, mugeunnamul, yaksik, yumilkwa, wonsobyung, guibalgisul, and burum on Jeongwol Daeboreum. The festival foods for Sambok consist of 6 main dishes, 18 side dishes, 4 kinds of tteok lyou, 3 kinds of eumchung lyou, and 2 kinds classified as others; this includes yukgaejang, imjasutang, youngyejjim, tteoksudan, santtalgihwaschae, and subak on Sambok. Chuseok's festival foods consist of 4 main dishes, 22 side dishes, 18 kinds of tteok lyou, 6 kinds of hangwa lyou, 4 kinds of eumchung lyou, and 3 kinds classified as others; this includes oryeosongpyeon, toranatang, garijjim, dakjjim, namuls, tteok lyou, baehwachae, and fruits on Chuseok. The festival foods for Dongji consist of 6 main dishes, 6 side dishes, 7 kinds of tteok lyou, 1 kind of hangwa lyou, 2 kinds of eumchung lyou, and 1 kind classified as others; this includes patjug, jeonyak, and dongchimi on Dongji. Based on these data, it is recommended that knowledge of traditional Korean festival foods be handed down, preserving and develop their excellence and to further scientific studys.

• Journal of Korean Institute of Industrial Engineers
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• v.15 no.2
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• pp.77-86
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• 1989

A fully automated cost estimation system(FACES) has been developed. Since speed, accuracy, and consistency are essential factors in automating a cost estimation, the use of computers in cost estimation system(CES) has grown rapidly in the last few years. FACES is a micro computer based cost estimation system that employs a manufacturing knowledge base. A Group Technology(GT) based part classification and coding(C&C) scheme is used to automate the process planning aspects of cost estimation. Variant process planning methods are employed to generate workstation routings from form features of the part. The system has been tested for an assembly of six machined parts. Results indicate that the system could provide a substantial improvement in accuracy, productivity, and performance over the more traditional full dialog approach to cost estimation. It also provides a good foundation for a factory automation by using a common GT based database through design to production.