• Journal of Fisheries and Marine Sciences Education
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• v.29 no.1
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• pp.118-127
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• 2017

The aim of the present study is to research how the main factors for the export of SMEs affect SME's Export possibility in structural method. 62 SMEs in Busan Region were participated in this study. For the empirical analysis, a multiple regression analysis and a path analysis were used with Spss18 and Amos 5v to figure out the relationship between the main factors and SME's Export possibility(SEP). The main factors as variances are "Manpower Needs(MN)", "Technology Innovation Needs(TIN)", "Education Needs for Export(ENE)" and "Intention of Decision-Maker(IDM)". The result indicated that ENE and TIN with IDM could structurally affect SEP through path analysis and implies that the main factors have to be considered with the intention of decision-maker as CEO for the successful export of SMEs.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.19 no.5
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• pp.928-938
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• 1994

We designed and implemented (3.3) tap Decision Feedback Equalizer using Zero Forcing algorithm for 64 QAM RF MODEM (155Mbps) in SDH STM-1, Before we designed DFE, simulate 11 tap linear equalizer and (3.3) tap DFE. Then we get results that performance of DFE is better than linear equalizer by 5dB in fading. Practically, implemented DFE have good performance equalizing signal in 20dB fading depth.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.26 no.10A
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• pp.1639-1644
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• 2001

Two decision feedback equalizer structures employing recurrent neural network (RNN) used for non-linear channels with severe intersymbol interference (ISI) and non-linear distortion are proposed in this paper, which skillfully put the traditional decision feedback structure for linear channels equalization into RNN, replace decision feedback signal with training signal in the learning process and adaptively adjust the learning step. Simulative results of the first type of two new equalizer structures have shown that it has better equalization performances than traditional recurrent neural network equalizer (RNNE) under the same condition.

• Journal of Fisheries and Marine Sciences Education
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• v.27 no.4
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• pp.1041-1052
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• 2015

The purpose of this study was to analyze group differences of Commitment to career choice and Career stress coping strategy by the Career decision and Career preparation behavior for College Students. Through the results of this study we wanted to look for discriminatory implications for the counseling intervention. The data of 720 college students were collected for the study. The distinction of four types was revealed by the results from Crosstabs and One-way ANOVA. The frequency of upper grades indicated ideal type. But the immature type was fourth grade. There were significant differences in accordance with the two-dimensional typology of Commitment to career choice and Career stress coping strategy by One-way ANOVA. Discussion focused on effective intervention strategies in career counseling based on group differences by the Career decision and Career Preparation Behavior.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.33 no.5A
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• pp.500-508
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• 2008

Direct-sequence ultra-wideband(DS-UWB) system is being considered as one of promising transmission technologies for wireless personal area networks(WPANs). Due to relatively low spreading factors and huge bandwidth of transmit signal, a DS-UWB receiver needs to be equipped not only with a rake receiver but also with an equalizer, of which the equalizer is not required for traditional direct-sequence code division multiple access(DS-CDMA) systems. The number of rake fingers is limited in practice, influencing the performance of the subsequent equalizer. In this paper, we derive a decision feedback equalizer(DFE) for DS-UWB systems based on the minimum mean square error(MMSE) criterion, and investigate the impact of various parameters on the DFE performance in realistic scenarios. In particular, we propose an approach to improving the performance of the DFE using additional channel estimates for multipaths not combined in the rake receiver, and discuss how the accuracy of channel estimation affects desirable DFE configuration. Moreover, we present simulation results that show the impact of turbo equalization on the DFE performance.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.36 no.7B
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• pp.771-779
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• 2011

It is expected that many heterogeneous wireless systems, such as 3GPP LTE systems, WiMAX systems and WLAN systems, will coexist in the next generation wireless communication environments. Integrated radio resource management and seamless vertical handoff (VHO) should be supported to provide integrated communication services over multi-radio access networks. A new class of adaptive VHO system that views the handoff problem as a pattern recognition problem is proposed. In this paper, we propose a unified radio resource management (URRM) architecture and Support Vector Machine (SVM) based vertical handoff decision system. Extensive simulation studies show the proposed VHO algorithm outperforms RSS based VHO algorithms in terms of throughput and service cost.

• Journal of applied mathematics & informatics
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• v.40 no.5_6
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• pp.897-914
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• 2022

Pythagorean fuzzy sets (PFSs) are capable of modelling information with more uncertainties in decision-making problems. The essential feature of PFSs is that they are described by three parameters: membership function, non-membership function and hesitant margin, with the total of the squares of each parameter equal to one. The purpose of this article is to suggest some new similarity measures and weighted similarity measures for PFSs. Numerical computations have been carried out to validate our proposed measures. Applications of these measures have been applied to some real-life decision-making problems of pattern detection and medicinal investigations. Moreover, a descriptive illustration is employed to compare the results of the proposed measures with the existing analogous similarity measures to show their effectiveness.

• Asian Pacific Journal of Cancer Prevention
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• v.16 no.18
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• pp.8595-8598
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• 2016

Background: Decision making modalities for screening for many cancer conditions and different stages have become increasingly complex. Computer-based risk assessment systems facilitate scheduling and decision making and support the delivery of cancer screening services. The aim of this article was to survey electronic risk assessment system as an appropriate tool for the prevention of cancer. Materials and Methods: A qualitative design was used involving 21 face-to-face interviews. Interviewing involved asking questions and getting answers from exclusive managers of cancer screening. Of the participants 6 were female and 15 were male, and ages ranged from 32 to 78 years. The study was based on a grounded theory approach and the tool was a semi-structured interview. Results: Researchers studied 5 dimensions, comprising electronic guideline standards of colorectal cancer screening, work flow of clinical and genetic activities, pathways of colorectal cancer screening and functionality of computer based guidelines and barriers. Electronic guideline standards of colorectal cancer screening were described in the s3 categories of content standard, telecommunications and technical standards and nomenclature and classification standards. According to the participations' views, workflow and genetic pathways of colorectal cancer screening were identified. Conclusions: The study demonstrated an effective role of computer-guided consultation for screening management. Electronic based systems facilitate real-time decision making during a clinical interaction. Electronic pathways have been applied for clinical and genetic decision support, workflow management, update recommendation and resource estimates. A suitable technical and clinical infrastructure is an integral part of clinical practice guidline of screening. As a conclusion, it is recommended to consider the necessity of architecture assessment and also integration standards.

• Journal of the Korean Institute of Intelligent Systems
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• v.19 no.2
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• pp.265-272
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• 2009

Fuzzy number intuitionistic fuzzy sets (FNIFSs), each of which is characterized by a membership function and a non-membership function whose values are trigonometric fuzzy number rather than exact numbers, are a very useful means to describe the decision information in the process of decision making. Wang [10] developed some arithmetic aggregation operators, such as the fuzzy number intuitionistic fuzzy weighted averaging (FIFWA) operator, the fuzzy number intuitionistic fuzzy ordered weighted averaging (FIFOWA) operator and the fuzzy number intuitionistic fuzzy hybrid aggregation (FIFHA) operator. In this paper, based on the FIFHA operator and the FIFWA operator, we investigate the group decision making problems in which all the information provided by the decision-makers is presented as fuzzy number intuitionistic fuzzy decision matrices where each of the elements is characterized by fuzzy number intuitionistic fuzzy numbers, and the information about attribute weights is partially known. An example is used to illustrate the applicability of the proposed approach.

• Proceedings of the KSRS Conference
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• 2003.11a
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• pp.420-422
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• 2003