• Journal of Digital Convergence
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• v.17 no.2
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• pp.81-89
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• 2019

The purpose of this paper was to investigated the effect of the constituents of Facebook advertisement on ad fitness recognition and WOM intension. In addition, we confirmed the mediating effect of ad fitness recognition. For this purpose, data were collected for Facebook 371 users. The research method used factor analysis and covariance structure analysis. The results of this study were as follows: First, the advertising interest characteristics of Facebook ads had a significant effect on ad fitness and word-of-mouth intension. Second, personalized fit informational attributes of Facebook ads had a significant effect on ad fitness and WOM intension. Third, the perceived responsiveness had a significant effect on perceived fitness of advertisement and WOM intention. Fourth, perceived fitness recognition of Facebook advertisement had a significant effect on WOM intension. The results of this study provide consumers with information on what to consider when creating an identity advertisement and effective advertisement as Facebook advertisement.

• Journal of Fashion Business
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• v.12 no.3
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• pp.136-152
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• 2008

The purpose of this study was to provide dress forms and jacket blocks for adult males based on the analysis of their somatotypes. As the result of the research conducted for this study that was based on 1290 males of 20 to 54 years-old, the shapes of adult male were 20 and each body shape was classified by size factor, height and chest girth. Also, master sizes were selected considering appearance frequency. XS type (master size: height 165cm and chest circumference 88cm), Yd type (master size: height 170cm and chest circumference 91cm), YI and AD2 types (master size: height 170cm and chest circumference 94cm) were selected to develop dress forms and their jacket blocks in this study. The procedure and results were follows; 1. The dress forms of XS, Yd, YI and AD2 types were produced base on means of 61 body measurements and cross sections of shoulder, chest, waist, hip of subjects belong to each somatotype. 2. New jacket blocks for XS, Yd, YI and AD2 types were developed based on the body surface developments through draping and the results of comparative investigation on the existing jacket blocks by wearing test. Also the drafting methods of new jacket blocks were provided. 3. The sensory evaluation by wearing test showed that the developed jacket blocks were estimated more highly in terms of chest's allowance, the front width's allowance, neck wrinkle, front allowance and overall appearance's fitness items than existing jacket blocks.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.14 no.6
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• pp.2670-2685
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• 2020

Flying ad-hoc networks (FANETs) is a vibrant research area nowadays. This type of network ranges from various military and civilian applications. FANET is formed by micro and macro UAVs. Among many other problems, there are two main issues in FANET. Limited energy and high mobility of FANET nodes effect the flight time and routing directly. Clustering is a remedy to handle these types of problems. In this paper, an efficient clustering technique is proposed to handle routing and energy problems. Transmission range of FANET nodes is dynamically tuned accordingly as per their operational requirement. By optimizing the transmission range packet loss ratio (PLR) is minimized and link quality is improved which leads towards reduced energy consumption. To elect optimal cluster heads (CHs) based on their fitness we use k-means. Selection of optimal CHs reduce the routing overhead and improves energy consumption. Our proposed scheme outclasses the existing state-of-the-art techniques, ACO based CACONET and PSO based CLPSO, in terms of energy consumption and cluster building time.

• Journal of Korea Water Resources Association
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• v.46 no.6
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• pp.643-653
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• 2013

The most important procedure in frequency analysis is to determine the appropriate probability distribution and to estimate quantiles for a given return period. To perform the frequency analysis, the goodness-of-fit tests should be carried out for judging fitness between obtained data from empirical probability distribution and assumed probability distribution. The previous goodness-of-fit could not consider enough extreme events from the recent climate change. In this study, the critical values of the modified Anderson-Darling test statistics were derived for 3-parameter Weibull distribution and power test was performed to evaluate the performance of the suggested test. Finally, this method was applied to 50 sites in South Korea. The result shows that the power of modified Anderson-Darling test has better than other existing goodness-of-fit tests. Thus, modified Anderson-Darling test will be able to act as a reference of goodness-of-fit test for 3-parameter Weibull model.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 1998.06a
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• pp.601-606
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• 1998

In this paper, we propose a new design method of an optimal fuzzy logic controller using co-evolutionary concept. In general, it is very difficult to find optimal fuzzy rules by experience when the input and/or output variables are going to increase. Futhermore proper fuzzy partitioning is not deterministic ad there is no unique solution. So we propose a co-evolutionary method finding optimal fuzzy rules and proper fuzzy membership functions at the same time. Predator-Prey co-evolution and symbiotic co-evolution algorithms, typical approaching methods to co-evolution, are reviewed, and dynamic fitness landscape associated with co-evolution is explained. Our algorithm is that after constructing two population groups made up of rule base and membership function, by co-evolving these two populations, we find optimal fuzzy logic controller. By applying the propose method to a path planning problem of autonomous mobile robots when moving objects applying the proposed method to a pa h planning problem of autonomous mobile robots when moving objects exist, we show the validity of the proposed method.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.4
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• pp.153-162
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• 2022

Nostalgia advertising is one of the key and effective tools for marketers to capture the attention of consumers. Prior studies have identified two types of nostalgia, personal and historical. The aim of this research is to learn more about historical nostalgia and its influence on consumer brand purchase intentions. A convenience sampling technique was used to obtain a sample of 182 respondents via Google forms. The study then used partial least square structural equation modeling. In PLS-SEM, we applied a measurement model to obtain the results related to reliability, validity, and model fitness. Once the desired results are achieved, the study proceeded to the structural model where results related to hypotheses were obtained. The study's findings corroborated the literature, revealing that historical nostalgia advertisements have a significant impact on consumers' cognition and emotions, leading to an effect on attitudes. The serial process has the effect of influencing consumer buying intentions. Hence, the importance of nostalgia advertising proposed in the study was established through empirical evidence. Policymakers, organizations, and advertising agencies in Pakistan are recommended to implement nostalgia advertising techniques based on the findings and are encouraged to do so for immediate benefits.