• 제어로봇시스템학회:학술대회논문집
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• 1997.10a
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• pp.1609-1612
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• 1997

Kinematically redundantant manipulators have a nimber of potential advantages over nonredundant ones. Questions associated with manipulability measures for (non)redundant manipulators derived by minimum 2-norm solution and minimum infinity-norm solution in unit joint velocity are examined in detail.

• Journal of the Chungcheong Mathematical Society
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• v.20 no.3
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• pp.279-286
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• 2007

Using t-norm T and s-norm S, we introduce the notion of intuitionistic (T, S)-normed fuzzy subalgebra in BCK/BCI-algebra, and some related properties are investigated.

• Korean Journal of Mathematics
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• v.27 no.1
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• pp.165-173
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• 2019

In this paper, the definition b-numerical radius and b-norm is introduced and we present several b-numerical radius inequalities. Some applications of these inequalities are considered as well.

• Communications of the Korean Mathematical Society
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• v.37 no.3
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• pp.719-722
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• 2022

In this paper, we present some estimates for the norm of a multilinear form T ∈ 𝓛(^m𝑙ⁿ_p) for 1 ≤ p ≤ ∞ and n, m ≥ 2.

• Hwankyungkyoyuk
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• v.14 no.2
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• pp.106-115
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• 2001

So far, most of studies on environmentally responsible behaviors were based on the Hines et. al.(1987)'s behavior model which emphasized mainly personal causes of behaviors. This study was planned to investigate whether self-efficacy and conformity toward social norm could be good predictors for environmentally responsible behaviors or not. In the preliminary study, Several scales on environmental problems were made up for measuring the levels of knowledge, attitude, and behavior from usually used items of previous studies. And, some relevant items to self-efficacy scale and conformity toward social norm scale were selected through factor analysis and reliability analysis recursively. In the main study, Knowledge, attitude, self-efficacy, conformity toward social norm, and behavior of high school students were measured in urban and rural areas. Results showed that students in urban areas took environmentally responsible behavior more often than ones in rural areas, and there were no differences in attitude and sensitivity but significant differences in self-efficacy and confirmity toward social norm between them. According to regression analysis, self-efficacy was the best predictor for environmentally responsible behaviors, and confirmity toward social norm and knowledge were also good predictors. In conclusion, self-efficacy and confirmity toward social norm are better predictors for environmentally responsible behaviors than attitude.

• Culinary science and hospitality research
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• v.13 no.4
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• pp.45-56
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• 2007

The purpose of this study was to measure the causal relationships among affective belief, ambivalence, subjective norm, attitude, intention to consume and meat consumption. A total of 318 questionnaires were completed. The structural equation model was used to measure the causal effects among constructs. The results demonstrated that the confirmatory factor analysis model provided excellent model fit. The proposed model yielded a significantly better fit to the data than the baseline model. The effects of affective belief, ambivalence and subjective norm on attitude were statistically significant. The effect of subjective norm on intention was statistically significant. As expected, subjective norm and attitude had significant effects on meat consumption. Moreover, affective belief, ambivalence and subjective norm had indirect influences on meat consumption. Subjective norm also had an indirect influence on intention. The overall findings offered strong empirical support for the intuitive notion that improving the level of attitude toward eating meat can increase favorable intentions and decrease unfavorable intentions to reduce future meat consumption.

• Asia Marketing Journal
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• v.22 no.1
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• pp.41-60
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• 2020

The goal of the study is to understand the role of social norm in purchase decisions where demand is revealed in the form of multiple-discreteness. Consumers are socially engaged in various activities through the expectation from others in their community. Actions or decisions are likely to reflect this influence. This implicit or explicit social norm is revealed as the rules, regulations, and standards that are understood, shared, endorsed, and expected by group members. When consumers' decisions are in distance from the norm, they come to face discomfort such as shame, guilt, embarrassment, and anxiety. These pressure act as a constraint as opposed to utility in their decision making. In this study, the effect of social norms on consumer demand is captured via multiple constraint model where constraints are not only from budget equation but also from psychological burden induced by the deviation from the norm. The posterior distributions of model parameters were estimated via conjoint study allowing for heterogeneity via hierarchical Bayesian framework. Individual characteristics such as age, gender and work experience are also used as covariates for capturing the observed heterogeneity. The empirical results show the role of social norm as constraint in consumers' utility maximization. The proposed model accounting for social constraint outperforms the standard budget constraint-only model in terms of model fit. It is found that people with longer job experience tend to be more robust and resistant to the deviation from the norm. Incorporating social norm into the utility model allows for another means to disentangle the reason for no-purchase as 'not preferred' and 'not able to buy'.

• Journal of IKEEE
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• v.20 no.2
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• pp.136-142
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• 2016

This paper presents a non-local means (NLM) denoising algorithm based on a new weighting function using a mixed norm. The fidelity of the difference between an anchor patch and the reference patch in the NLM denoising depends on noise level and local activity. This paper introduces a new weighting function based on a mixed norm type of which the order is determined by noise level and local activity of an anchor patch, so that the performance of the NLM denoising can be enhanced. Experimental results demonstrate the objective and subjective capability of the proposed algorithm. In addition, it was verified that the proposed algorithm can be used to improve the performance of the other $l_2$ norm based non-local means denoising algorithms

• Journal of the Korean Institute of Landscape Architecture
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• v.30 no.6
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• pp.38-46
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• 2003

Perceived crowding is known as a necessary method to evaluate social carrying capacity in recreational settings. But according to the results of previous research, perceived crowding, use density, and satisfaction have shown weak and indirect correlations. The theory of visitors’ adjustment is one of several possible explanations for this poor relation. But the validity of the visitors’ adjustment theory has not been not inspected clearly. Therefore, the purposes of this study are to understand visitors’ adjustment theory and to examine visitors’ adjustment to the overuse of recreational settings. Study hypotheses were formulated through literature review and related to visitors’ adjustment in recreation density. Pour hypotheses were established and inspected with the case study, i.e., Rationalization : Visitors’ satisfaction isn't related to use density in recreation setting, 2) Product-shift : Preference norm is related to current use density, 3) Self-selection : Visitors’ satisfaction for the use level is generally high, and 4) Displacement : Norm interference is related to willingness to revisit. The case study was conducted during May and June,2001. According to the results of this survey, visitors adjust to overuse of recreation setting through rationalization and product shift (hypotheses l/2 acceptance). Current use density isn't related to visitors’ satisfaction and willingness to revisit (see table 3). And visitors’ preference norm is modified by situation (see table 4). Visitors’ satisfaction and willingness to revisit don't show a high correlation but moderately high (see table 5, hypothesis 3 acceptance). Differences between visitors’ preference norm and current use density is norm interference. Norm interference isn't related to willingness to revisit (see table 7). Therefore, the norm interference concept is not a useful method to explain visitors’ adjustment to the degree of overuse in a recreational setting (hypothesis 4 rejection). As for future directions, the following are proposed: 1) correctly understanding and reestablishing the visitor norm and norm interference concept, 2) introducing a composite research method to monitor visitors’ behavior and survey visitors’ attitudes and coping responses. These efforts would be helpful in the Planning and management of recreational settings to improve the quality of visitors’ experiences.

• Journal of Software Assessment and Valuation
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• v.16 no.2
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• pp.153-162
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• 2020

Digital image forgery detection is one of very important fields in the field of digital forensics. As the forged images change naturally through the advancement of technology, it has made it difficult to detect forged images. In this paper, we use passive forgery detection for copy paste forgery in digital images. In addition, it detects copy-paste forgery using the L₀ Norm-based LE operator, and compares the detection accuracy with the forgery detection using the existing L₂, L₁ Norm-based LE operator. In comparison of detection rates, the proposed lower triangular(Ayalneh and Choi) window was more robust to BAG mismatch detection than the conventional window filter. In addition, in the case of using the lower triangular window, the performance of image forgery detection was measured increasingly higher as the L₂, L₁ and L₀ Norm LE operator was performed.