• Journal of the Korea Institute of Information and Communication Engineering
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• v.5 no.3
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• pp.597-604
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• 2001

In conventional boolean retrieval systems, document ranking is not supported and similarity coefficients cannot be computed between queries and documents. The MMM, Paice and P-norm models have been proposed in the past to support the ranking facility for boolean retrieval systems. They have common properties of interpreting boolean operators softly. In this paper we propose a new soft evaluation method for Information retrieval using query splitting relevance feedback model. We also show through performance comparison that query splitting relevance feedback(QSRF) is more efficient and effective than MMM, Paice and P-norm.

• Journal of Korean Academy of Fundamentals of Nursing
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• v.21 no.1
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• pp.48-56
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• 2014

Purpose: This study was done to identify factors based on the theory of planned behavior that predict smoking cessation in elderly smokers following a stroke. Method: Between March and May 2013, data related to intention, attitude toward the behavior, subjective norm, and perceived behavioral control, were collected through questionnaire from 223 elders who smoked and who had a stroke. Data analysis was performed using PASW (SPSS) 18.0 program, and included t-test, one-way ANOVA, Pearson correlation coefficients, and multiple stepwise liner regression analysis. Results: Results showed a positive correlation between intention and attitude toward the behavior (r=.494, p<.001), subjective norm (r=.390, p<.001), and perceived behavioral control (r=.189, p=.005). These variables such as perceived behavior control, subjective norm, number of cigarettes per day, and usefulness of quitting smoking explained 50% of intention to quit smoking. Conclusion: The results of this study indicate that there is a need to develop smoking cessation nursing strategies for elderly smokers following a stroke in order to provide effective counseling on subjective norm and perceived behavioral control.

• Journal of IKEEE
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• v.22 no.2
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• pp.491-494
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• 2018

This paper presents a similarity search method based on mixed norm for enhancing self-example-based single image super-resolution. In order to incorporate the local statistical characteristics of the patches into the super-resolution image reconstruction, we propose a method to determine the order of the norm according to the patch inclination and use it as a similarity search between patches. Experimental results demonstrate that the proposed similarity search method has the capability to improve the performance of existing search method.

• Journal of the Korean Institute of Intelligent Systems
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• v.14 no.6
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• pp.745-751
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• 2004

In conventional boolean retrieval systems, document ranking is not supported and similarity coefficients cannot be computed between queries and documents. The MMM(Max and Min Model), Paice and P-norm models have been proposed in the past to support the ranking facility for boolean retrieval systems. They have common properties of interpreting boolean operators softly In this paper we propose a new soft evaluation method for web Information retrieval using local context analysis feedback model. We also show through performance comparison that local contort analysis feedback is more efficient and effective than MMM, Paice and P-norm.

• Journal of Korea Game Society
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• v.20 no.4
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• pp.21-32
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• 2020

The study took online game users' need for affect (approach/avoidance) and social norms (subjective/descriptive) into account and examined how these variables affected their attitude (utilitarian/hedonic) toward online games and their flow experience. Results from the hierarchical multiple regression analysis showed that, game users' approach affect and subjective norm had significant impacts on their utilitarian attitude, while their approach/avoidance affect and subjective norm had on their hedonic attitude toward onine games. Plus, the avoidance affect, subjective norm, and utilitarian/hedonic attitudes of game users had significant impacts on their flow experience.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.9 no.12
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• pp.5103-5115
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• 2015

In radar imaging, a target is usually consisted of a few strong scatterers which are sparsely distributed. In this paper, an improved sparse signal recovery algorithm based on smoothed l₀ (SL0) norm method is proposed to achieve high resolution ISAR imaging with limited pulse numbers. Firstly, one new smoothed function is proposed to approximate the l₀ norm to measure the sparsity. Then a single loop step is used instead of two loop layers in SL0 method which increases the searching density of variable parameter to ensure the recovery accuracy without increasing computation amount, the cost function is undated in every loop for the next loop until the termination is satisfied. Finally, the new set of solution is projected into the feasible set. Simulation results show that the proposed algorithm is superior to the several popular methods both in terms of the reconstruction performance and computation time. Real data ISAR imaging obtained by the proposed algorithm is competitive to several other methods.

• Journal of Agricultural Extension & Community Development
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• v.24 no.3
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• pp.211-222
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• 2017

The purpose of this study is to examine the effects of agriculture on the career adaptation and career decision by measuring the job value and the subjective norm of agriculture. Conclusions based on the study results can be suggested as follows. First, career decision self-efficacy and subjective norm were significant variables in career adaptability of agriculture major college students. Therefore, the belief that one can plan and practice career goals and the affirmation of career plans and decisions in the vicinity are important factors in career adaptability. Second, Self-Realization and social recognition were significant variables in career decision self-efficacy of college students majoring in agriculture. In other words, it can be judged that social recognition such as honor and honor of others in a career choice has a positive effect on the career decision self-efficacy which is self-esteem in career selection. Lastly, An important variable for the subjective norms of agricultural college students was social recognition. This can be said that the positive perception of the surrounding people is very important as the value of social recognition is more important.

• Journal of Information Technology Services
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• v.13 no.3
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• pp.235-255
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• 2014

Social Network Service (SNS) with emergence of Web 2.0 have been developed rapidly. Unlike other games, social network game is based on the relationship with smart devices and studied for user-centered behavior as a potential factor derived from the Technical Acceptance Model (TAM). This research is conducted for finding out influencing factors on continuous intention for smart device users. Therefore, the independent variables consist of subjective norm, mobility, playfulness, self-efficacy, and ease of use. The intermediate variables also compose of flow, and user satisfaction and the dependent variables as continuous intention. The result of study shows the following: First, subjective norm, playfulness, self-efficacy and ease of use except mobility have the positive effect on user flow. Second, subjective norm, mobility, playfulness and ease of use except self-efficacy have significantly the positive effect on user satisfaction. Finally, user flow has significantly the positive effect on user satisfaction and continuance intention and a factor of user satisfaction have significantly the positive effect on continuance intention.

• Culinary science and hospitality research
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• v.14 no.2
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• pp.170-180
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• 2008

The purpose of this study was to measure the causal relationships between past consumption, health belief, subjective, attitude, intention and purchase of organic foods. Total 326 copies of questionnaire were completed. The structural equation model was used to measure the causal effect among constructs. The results demonstrated that the confirmatory factor analysis model provided a good model fit. The proposed model yielded a significantly better fit to the data than the baseline model and the extended model. The effects of past consumption, health belief and subjective norm on attitude and intention were statistically significant. The effects of attitude on intention and behavior to purchase organic food were statistically significant. As expected, health belief and subjective had significant effects on behavior to purchase organic foods. Moreover, past consumption, health belief and subjective norm had indirect influences on intention through mediated variables. Based on the empirical results and findings, some suggestions are provided to the institutions concerned so as to facilitate this organic sector's on-going expansion in the food industry.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.40 no.7
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• pp.1257-1265
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• 2015

In this paper, we describe a greedy user selection scheme for multiuser multiple-input multiple-output (MIMO) systems. We propose a new metric which has significantly improved performance compared to the Frobenius norm metric. The approximation of projection matrix is applied to increase the accuracy of Frobenius norm of effective channel matrix. We analyze the computational complexity of two metrics by using flop counts, and also verify the achievable sum rate through numerical simulation. Our simulation result shows that the proposed metric can achieve the improved sum rate as the number of user antenna increases.