• Journal of Agricultural Extension & Community Development
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• v.7 no.2
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• pp.327-331
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• 2000

The purposes of this study were to analyze achievement of the Korea Agricultural Extension Specialist Association and suggest new directions for further development. The Korea Agricultural Extension Specialist Association was organized to develop competencies in specialized field for extension educators in 1996. About 47% of extension educators joined academy during the 5 year period, even though there were many difficulty in organizing extension educators, the Korea Agricultural Extension Specialist Association has achieved to increase independent learning activity, to share new information and improve agent’s competency. New directions for the future development of the Korea Agricultural Extension Specialist Association activities should include the following measures; 1) Academy manages to help member’s competency, 2) Every member of the Association tries to make a concrete goal of activity, 3) The Association members should find ways to enable farmers to remain informed on agricultural extension services to people.

• Agribusiness and Information Management
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• v.10 no.2
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• pp.1-7
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• 2018

In the present day context of changing information needs of the farmers and diversified production systems there is an urgent need to look for the effective extension support system for the small and marginal farmers in the developing countries like India. The rapid developments in the collection and analysis of field data by using the spatial technologies like GPS&GIS were made available for the extension functionaries and clientele for the diversified information needs. This article describes the GIS and GPS based decision support system in precision agriculture for the resource poor farmers. Precision farming techniques are employed to increase yield, reduce production costs, and minimize negative impacts to the environment. The parameters those can affect the crop yields, anomalous factors and variations in management practices can be evaluated through this GPS and GIS based applications. The spatial visualisation capabilities of GIS technology interfaced with a relational database provide an effective method for analysing and displaying the impacts of Extension education and outreach projects for small and marginal farmers in precision agriculture. This approach mainly benefits from the emergence and convergence of several technologies, including the Global Positioning System (GPS), geographic information system (GIS), miniaturised computer components, automatic control, in-field and remote sensing, mobile computing, advanced information processing, and telecommunications. The PPP convergence of person (farmer), project (the operational field) and pixel (the digital images related to the field and the crop grown in the field) will better be addressed by this decision support model. So the convergence and emergence of such information will further pave the way for categorisation and grouping of the production systems for the better extension delivery. In a big country like India where the farmers and holdings are many in number and diversified categorically such grouping is inevitable and also economical. With this premise an attempt has been made to develop a precision farming model suitable for the developing countries like India.

• Communications of the Korean Mathematical Society
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• v.29 no.1
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• pp.23-26
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• 2014

Let E be a graded central division algebra (GCDA) over a grade field R. Let S be an unramified graded field extension of R. We describe the grading on the underlying GCDA E' of $E{\otimes}_RS$ which is analogous to the valuation on a tame division algebra over Henselian valued field.

• Proceedings of the Korean Society of Crop Science Conference
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• 2005.04a
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• pp.124-125
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• 2005

• Proceedings of the Korean Society of Crop Science Conference
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• 2006.04a
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• pp.466-467
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• 2006

• 한국약용작물학회:학술대회논문집
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• 2010.10a
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• pp.187-188
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• 2010

• The Journal of Korean Institute of Communications and Information Sciences
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• v.30 no.4C
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• pp.290-295
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• 2005

When a Certification Authority (CA) issues X.509 public-key certificate to bind a public key to a user, the user is specified through one or more subject name in the 'subject' field and the 'subjectAltName' extension field of a certificate. The 'subject' field or the 'subjectAltName' extension field may contain a hierarchically structured distinguished name, an electronic mail address, If address, or other name forms that correspond to the subject. In this paper, we present the requirements for certificate holder's privacy protection and propose the methods to protect the user's privacy information contained in the 'subject' field or the 'subjectAltName' extension field of a public-key certificat

• Weed & Turfgrass Science
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• v.1 no.4
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• pp.6-12
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• 2012

A fact-finding survey was conducted to obtain the basic information on nation-wide weed distribution and farmer's opinions to weed control strategy in paddy field. Most respondents considered Echinochloa spp., Monochloa vaginalis, Sagittaria trifolia, and Scirpus juncoides etc. as dominate weeds in paddy fields. And herbicide resistant weed species were M. vaginalis, S. juncoides, E. oryzicola and S. pygmaea etc. Purchase guidances for herbicide selection, experience of farmers was 34.0% and dealers recommendation was 33.9% at farmer's level. And paddy field herbicides application frequence were one time 15.6% but twice 75.6%. Preferred herbicides were ranked in the following order: oxadizone 12% EC, butachlor 5% GR, butachlor 33% CS, mefenacet pyrazodulfuron-ethyl 21.42% SC, and oxadiargyl 1.7% EC etc. in paddy fields. And in most preferred foliar herbicide were bentazone MCPA 38.6% SL and bentazone cyhalop-butyl 18.5% ME, 48.5% and 22.3%, respectively.

• Communications of the Korean Mathematical Society
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• v.11 no.3
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• pp.563-568
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• 1996

In this paper we study the ramification of prime ideals in the dihedral octic extension N over Q and estimate the possible discriminants of the octic number field N.

• Journal of Communications and Networks
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• v.18 no.5
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• pp.725-734
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• 2016

For multi-mode radar signals in complex electromagnetic environment, different modes of one emitter tend to be deinterleaved into several emitters, called as "extension", when processing received signals by use of existing sorting methods. The "extension" problem inevitably deteriorates the sorting performance of multi-mode radar signals. In this paper, a novel method based on spatial data mining is presented to address above challenge. Based on theories of data field, we describe the distribution information of feature parameters using potential field, and makes partition clustering of parameter samples according to revealed distribution features. Additionally, an evaluation criterion based on cloud model membership is established to measure the relevance between different cluster-classes, which provides important spatial knowledge for the solution of the "extension" problem. It is shown through numerical simulations that the proposed method is effective on solving the "extension" problem in multi-mode radar signal sorting, and can achieve higher correct sorting rate.