• KSCI Review
• /
• v.9 no.2
• /
• pp.49-72
• /
• 2002

우리 나라 경제의 주역중의 주역인 중소기업 경쟁력의 요체라 할 수 있는 정보화와 효율적인 관리시스템 구축을 위해 노력하는 KAT시스템은 1994년 회계관리 프로그램 보급을 시작으로, 이제는 ERP(전사적자원관리시스템)솔루션과 그룹웨어 KMS 더 나아가서는 CRM, SCM까지 이를 통합하는 모든 솔루션과 시스템을 개발, 보급, 지원하고 있습니다.

• Information Systems Review
• /
• v.10 no.1
• /
• pp.165-191
• /
• 2008

Traditionally, information systems audit has been carried out by the auditors. So the main focuses of audit are managerial point of view, such as finding errors or missing functions. The final purpose of audit, however, is to help the organization to make better decision through better information services. So we felt that managerial point of audit should be extended to include the factors that increase the competitiveness of organization. To accomplish this goal, new factors that reflect the ideas of three groups, users, developers in addition to auditors. First, by adopting the ideas from service quality evaluation area, we develop six items and 24 indexes for information systems audit. Second, we separate the audit related parties into three groups, users, developers and auditors. The main reason is that major concerns of three groups to the system will be different considerably. Third, we quantified the weights of each group to each 6 items and 24 indexes using Analytic Hierarchy Process. Fourth, the resulting weights of each item are found to be different by the group, and possible reasons are analyzed.

• Journal of the Korean Institute of Intelligent Systems
• /
• v.14 no.2
• /
• pp.142-149
• /
• 2004

It is important to retrieve exact information coinciding with user's need from lots of Usenet news and filter desired information quickly. Differently from email system, we must previously register our interesting news group if we want to get the news information. However, it is not easy for a novice to decide which news group is relevant to his or her interests. In this work, we present a service classifying user preferred news groups among various news groups by the use of Kohonen network. We first extract candidate terms from example documents and then choose a number of representative keywords to be used in Kohonen network from them through fuzzy inference. From the observation of training patterns, we could find the sparsity problem that lots of keywords in training patterns are empty. Thus, a new method to train neural network through reduction of unnecessary dimensions by the statistical coefficient of determination is proposed in this paper. Experimental results show that the proposed method is superior to the method using every dimension in terms of cluster overlap defined by using within cluster distance and between cluster distance.

• Journal of the Korea Institute of Information Security & Cryptology
• /
• v.23 no.5
• /
• pp.885-896
• /
• 2013

MTC(Machine Type Communications), providing a variety of services anytime and anywhere by connecting the cellular network to the machine and things without human intervention, is being considered as a major challenge of the next-generation communications. Currently, When a massive MTC devices simultaneously connect to the network, each MTC device needs an independent access authentication process. Because of this process, authentication signaling congestion and overload problems will cause in LTE-Advanced. In this paper, we propose a group-based authentication protocol and a key management protocol. For managing the MTC devices as group units, the proposed protocol elects a group leader and authentications only once with the core network. After the authentication is completed, a group leader manages the rest members and MME(Mobility Management Entity) by constructing a binary tree. Finally, the propose protocol analysis show that the proposed protocol not only can reduces the authentication signaling which generated in between the MTC devices and the core network but also can manages the MTC devices, efficiently.

• Journal of Digital Convergence
• /
• v.13 no.9
• /
• pp.235-242
• /
• 2015

Social network technology has been increasing interest in the big data service and development. However, the data stored in the distributed server and not on the central server technology is easy enough to find and extract. In this paper, we propose a big data management techniques to minimize the processing time of information you want from the content server and the management server that provides big data services. The proposed method is to link the in-group data, classified data and groups according to the type, feature, characteristic of big data and the attribute information applied to a hash chain. Further, the data generated to extract the stored data in the distributed server to record time for improving the data index information processing speed of the data classification of the multi-attribute information imparted to the data. As experimental result, The average seek time of the data through the number of cluster groups was increased an average of 14.6% and the data processing time through the number of keywords was reduced an average of 13%.

• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.19 no.5
• /
• pp.9-17
• /
• 2019

As the IoT environment becomes more popular, the safety of the M2M environment, which establishes the communication environment between objects and objects without human intervention, becomes important. Due to the nature of the wireless communication environment, there is a possibility of exposure to security threats in various aspects such as data exposure, falsification, tampering, deletion and privacy, and secure communication security technology is considered as an important requirement. In this paper, we propose a new method for group key generation and exchange using trap hash collision hash in existing 'M2M communication environment' using hash collision, And a mechanism for confirming the authentication of the device and the gateway after the group key is generated. The proposed method has attack resistance such as spoofing attack, meson attack, and retransmission attack in the group communication section by using the specificity of the collision message and collision hash, and is a technique for proving safety against vulnerability of hash collision.

• Korean Journal of Ichthyology
• /
• v.31 no.3
• /
• pp.141-149
• /
• 2019

This study presents data on spawning season, weight-length relationships (WLRs) and condition factor of Gadus chalcogrammus inhabiting the middle East Sea, Korea. Monthly changes in the gonadosomatic index (GSI) revealed that the spawning period was from December to March. Overall value of the exponent b, estimated by nonlinear least squares from weight and length data was 2.806, ranging from 2.778 for female fishes to 2.985 for immature group. The b values were similar between spawning and non-spawning, and between female and male fishes, but it was significantly higher for immature than mature fishes. The condition factors were significantly higher for immature than mature groups, and during non-spawning than spawning periods, but it was not significant between male and female fishes.

• Proceedings of the Plant Resources Society of Korea Conference
• /
• 2020.12a
• /
• pp.51-51
• /
• 2020

콩의 원산지는 만주를 중심으로한 동북아시아를 원산지로 추정하고 있으며, 동아시아인 한국, 중국, 일본의 주요 식재료로 다양하게 이용되어왔다. 콩은 단백질과 지방의 공급원으로서 뿐 아니라 최근에는 콩의 생리활성 물질이 항암효과, 골다공증, 신장질환과 같은 질병예방에도 효과가 있는 것으로 알려지면서 활용가능성이 높아지고 있다. 본 연구는 유전자원센터에 보존 중인 콩 수집단에서 농업형질, 기초정보 등을 토대로 핵심집단을 작성하고 그 중 한국, 중국, 일본 수집단 각 425, 93, 42자원의 개화일수, 생육일수, 주당협수, 100립중, 주당수량과 같은 양적형질을 비교하였다. 개화일수와 생육일수는 중국수집 자원에서 평균38일, 107일로 가장 빠르며, 한국수집 자원은 평균 53일, 127일로 가장 늦었다. 협당립수는 중국수집 자원에서 협당 평균3립으로 가장 많았으며, 한국과 일본 수집자원은 각 2.3과 2.4립으로 유사하였다. 주당협수는 한국 수집자원에서 주당 평균 327.4개로 가장 많고 일본이 248.0개 중국이 224.4순으로 조사되었다. 100립중은 일본 수집 자원이 평균 33.6g으로 대립이 많고 한국 26.5g , 중국 21.1g 이었다. 주당수량은 한국 수집자원이 평균 119.8g, 일본 84.2g, 중국 76.8g순이었다. 이들 5개 양적형질을 토대로 군집분석한 결과 한국 자원은 대다수가 C3 그룹에 속하고, C1 그룹에 일부가 속하였으며, 일본 자원은 C3 그룹과 C2 그룹에, 중국 자원은 C2 그룹에 속하여 한국과 일본자원이 유사하고 중국자원과는 차이를 보이는 것으로 나타났다. 이러한 특성조사 결과는 자원의 수집, 도입시 다양성 확보를 위한 기초정보로 이용할 수 있다.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.14 no.1
• /
• pp.45-52
• /
• 2010

It takes a lot of time or is even impossible to communicate for people with physical disability and/or speech impairment. Augmentative and Alternative Communication System is an important computerized tool that makes it possible for those people to communicate. Since not only speech impaired people, but also people with other physical disability cannot use conventional computer input devices easily such as keyboard and mouse, so more simple input devices are need for them to communicate. Thus, in this paper, I designed and implemented a communication aid system, with which they can communicate with simple inputs. I collected frequently used sentences by people with disability and categorized them into 9 everyday language groups. With these categories, they can select any sentence with few simple selections. If none of these categories includes the sentences they want, ChunJiIn keyboard is provided so that they can input the sentences, which can be added to the existing language groups for later use. The priority levels of the sentences in each group is constantly readjusted based on usage frequency so that the number of inputs can be reduced.

• The Journal of Korean Association of Computer Education
• /
• v.8 no.4
• /
• pp.15-24
• /
• 2005

The success of cooperative learning in small groups heavily depends on how the small groups are set up. When small groups are formed, the factors such as the objectives and characteristics of the work and the capabilities and interests of the group members should be considered to maximize the interaction among the group members. However, it is not easy for teachers to manually divide their class to small groups to satisfy such conditions. In this work, we developed and implemented a student grouping system that divides the class as appropriate as possible, when given multidimensional student data and a set of conditions for forming small groups. The grouping conditions can be heterogeneous, homogeneous, and both. The grouping system can easily be used by teachers since the system can be accessed by clicking a menu button embedded into Microsoft Excel. The system has also a wide range of application areas where object grouping by various conditions is needed.