• Asia Marketing Journal
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• v.19 no.3
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• pp.19-44
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• 2017

Researchers do not fully understand consumers' responses to negative co-branding events; thus, they report inconsistent evidence regarding the negative impact on the partnering brands. Our research bridges a gap in this research stream, and answers an important question: When a service failure occurs, could the two different models of consumers' brand schema change affect their negative perception of each brand partner? By using a theoretical and mathematical modeling approach, we offer two propositions. The first proposition shows that, under consumers' book-keeping cognitive process, the negative spillover effect occurs for both brands. The second proposition argues that, when the sub-typing model is assumed, it is possible that one brand suffers while the other escapes the blame for the failure. To our knowledge, this is one of the first few studies to identify circumstances in which a negative spillover effect may or may not occur to brand partners in co-branding service failures.

• Asian Journal for Public Opinion Research
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• v.12 no.3
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• pp.142-165
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• 2024

This article examines the shifts in discourse surrounding Korean dramas in Malaysia, a core market for the Korean Wave (Hallyu), to understand the evolving perceptions and reception of Hallyu as a role model. Employing a discourse analysis of 14 Malaysian newspapers available online from 2016 to 2022, a period marked by the rise of over-the-top (OTT) media, the study reveals a significant transition in the prevailing narrative. From 2016 to 2019, the dominant discourse was characterized by conservatism and "cultural protectionism," reflecting a tension in attitudes towards the Korean Wave. However, from 2020 onwards, there was a gradual change in perceptions and attitudes, with an increasing emphasis on the economic and cultural value of Hallyu. This shift towards an "economic discourse" illustrates a growing perception of Korean dramas as an opportunity and catalyst for regional economic development in the Malaysian context, rather than a crisis. The study highlights the dynamic nature of the Korean Wave discourse in Malaysia and its evolution in response to the changing media landscape and socio-economic factors.

• Cartoon and Animation Studies
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• s.31
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• pp.177-208
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• 2013

This research analyzes the media which is simultaneously used with TV viewing, the behaviour of multiple media users, and the characteristics of TV programs under Nscreen circumstances. According to the results, TV provides stories and positions it as the main screen (84.5%, n=566), under the Nscreen circumstances. Personal media reproduces stories from TV by utilizing aspects of social media functions such as participation, open communication, community, connectivity, etc. The content is classified under three categories: 1) elicit emotion(point feeling), 2) information production, 3) participation, which is further divided into three subcategories; watch, wish, and result guarantee based on the level of interactivity. This inquiry is based upon diary survey and focus group interviews emphasized the role change of TV, specifically that TV takes a key role in generating original stories with the expansion of screen and social media. Even though users were able to watch the same TV programs at the same time and same place, the different methods of viewing: smartphone, tablet PC, web based mp3 and etc., it reproduced different stories and elicited different characteristics from its TV viewers.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.4
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• pp.2060-2077
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• 2019

Recently, mobile healthcare services have attracted significant attention because of the emerging development and supply of diverse wearable devices. Smartwatches and health bands are the most common type of mobile-based wearable devices and their market size is increasing considerably. However, simple value comparisons based on accumulated data have revealed certain problems, such as the standardized nature of health management and the lack of personalized health management service models. The convergence of information technology (IT) and biotechnology (BT) has shifted the medical paradigm from continuous health management and disease prevention to the development of a system that can be used to provide ground-based medical services regardless of the user's location. Moreover, the IT-BT convergence has necessitated the development of lifestyle improvement models and services that utilize big data analysis and machine learning to provide mobile healthcare-based personal health management and disease prevention information. Users' health data, which are specific as they change over time, are collected by different means according to the users' lifestyle and surrounding circumstances. In this paper, we propose a prediction model of user physical activity that uses data characteristics-based long short-term memory (DC-LSTM) recurrent neural networks (RNNs). To provide personalized services, the characteristics and surrounding circumstances of data collectable from mobile host devices were considered in the selection of variables for the model. The data characteristics considered were ease of collection, which represents whether or not variables are collectable, and frequency of occurrence, which represents whether or not changes made to input values constitute significant variables in terms of activity. The variables selected for providing personalized services were activity, weather, temperature, mean daily temperature, humidity, UV, fine dust, asthma and lung disease probability index, skin disease probability index, cadence, travel distance, mean heart rate, and sleep hours. The selected variables were classified according to the data characteristics. To predict activity, an LSTM RNN was built that uses the classified variables as input data and learns the dynamic characteristics of time series data. LSTM RNNs resolve the vanishing gradient problem that occurs in existing RNNs. They are classified into three different types according to data characteristics and constructed through connections among the LSTMs. The constructed neural network learns training data and predicts user activity. To evaluate the proposed model, the root mean square error (RMSE) was used in the performance evaluation of the user physical activity prediction method for which an autoregressive integrated moving average (ARIMA) model, a convolutional neural network (CNN), and an RNN were used. The results show that the proposed DC-LSTM RNN method yields an excellent mean RMSE value of 0.616. The proposed method is used for predicting significant activity considering the surrounding circumstances and user status utilizing the existing standardized activity prediction services. It can also be used to predict user physical activity and provide personalized healthcare based on the data collectable from mobile host devices.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.22 no.2
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• pp.151-159
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• 2004

The diversity, expansion of human activity and rapid urbanization make modem society to faced with problems like damage of nature and drain of natural resources. Under these circumstances rapid and accurate change detection techniques, which can detect wide range utilization changes, are needed for efficient management and utilization plan of national territory. In this study to perform change detection from remote sensing images, space analysis technique contained in Geographic Information System is applied. And from this technique, the software. that can execute new change detection algorithm, query, inquiry and analysis, is produced. This software is on the basis of graphic user interface and has many functions such as format conversion, grid calculation, statistical processing, display and reference. In this study, simultaneously change detection for multi-temporal satellite images can be performed and integrated one change image about four different periods was produced. Further more software user can acquire land cover change information for an specific area through querying and questioning about yearly changes. Finally making of every application module for change detection into one window based visual basic program, can be produced user convenience and automatic performances.

• Environmental and Resource Economics Review
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• v.19 no.2
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• pp.383-411
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• 2010

Climate change and related policies and regulations influence the performance of the firms in various ways. Climate change influences corporate competitiveness through physical impacts, GHG regulations, changes in asset values, demand shift, etc. Therefore, corporate competitiveness could be maintained by reducing vulnerability to climate change and adapting to new circumstances. Without effective responses to the challenges, the firms would have difficulties in maintaining their competitiveness in the market and the cost of national economy will significantly increase as well. Even though it seems fairly easy to understand the meaning of competitiveness, deriving the driving forces of and measuring changes in competitiveness are complicated and disputable processes. A common way to overcome it is to develop a 'competitiveness index'. The objective of this study is to derive the main factors influencing corporate competitiveness related to climate change and develop 'competitiveness index' reflecting those factors. The index will make contribution to enhance the response capacity of the firms to climate change and increase the effectiveness of climate change policies for the industry by providing a quantitative tool to measure the changes in corporate competitiveness related to climate change.

• Journal of Korea Port Economic Association
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• v.24 no.2
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• pp.131-154
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• 2008

The purpose of this paper is to verify the financial validity of dredging the port of Busan with the change of global port logistics circumstances. In order to do so, NPV, IRR, B/C ratio, DPP techniques are adopted. The whole dredging at Northern port area is supposed to be negative at the depth of 16m water. Based upon its financial validity, however, the priority is Shinsundae (option 1) followed by Shinsundae (option 1) and Gamman (option 1), Shinsundae (option 1) and Gamman (option 2), Shinsundae (option 2) and Gamman (option 2), Shinsundae (option 2) and Gamman (option 2) and ShinGamman in sequence. In addition to this, Busan New port is considered to be the positive financial validity at the dredging of 16m water depth. This is because the ultra containerships of over 8,000TEU are trying to call at the port and Hanjin shipping and Hyundai Merchant shipping companies which are now the most significant customers in Northern port are scheduled to divert it.

• THE INTERNATIONAL COMMERCE & LAW REVIEW
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• v.49
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• pp.257-281
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• 2011

The duty of utmost good faith is found in sections 17-20 of MIA 1906. Critics of the current legal regime on the pre-contractual duty from the viewpoint of the assured, have been concentrated on two points in particular. First, the scope of the duty is so wide that it imposes too high burden on the assured. The second criticism is directed at the remedy, prescribed by the MIA 1906, s.17, against breach of the duty. This article intends to analyse the legal implications of proposals in CP 2007 for reforming pre-contractual duty of utmost good faith of business assured in English insurance contracts law and the problems of proposals. The Law Commissions are proposing four fundamental changes to meet the long-standing criticism and the results of analysis are as following. First, the Law Commissions are proposing a change in the test of constructive knowledge in relation to the duty of disclosure so that a business assured will be obliged to disclose facts which he knows or a reasonable ought to know in the circumstances. Secondly, deviating from the current legal position, the Law Commissions are proposing that if a business assured has made a misrepresentation, but the assured honestly and reasonably believe what it said to be true, the insurer should not have any remedy due to the misrepresentation. The proposal is designed to protect the reasonable expectations of business assured at the pre-contractual stage. Thirdly, the Law Commissions are proposing to change the test for materiality by replacing the "prudent insurer" test by a "reasonable assured" test. The proposed test would focus on the question of what a reasonable assured in the circumstances would think what is relevant to the judgment of the insurer. Finally, the Law Commissions are proposing flexible remedies in case of the breach of the duty. The Law Commissions are proposing no remedy when an assured is acting honestly and reasonably, while avoidance in case of dishonesty. On the other hand, The Law Commissions seem to have an intention to introduce a compensatory remedy in case of negligent breach of the duty.

• Journal of Radiation Protection and Research
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• v.20 no.1
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• pp.8-15
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• 1995

An estimate of a change in radioactivity's circumstances around the nuclear power plant is validated with the results of the radioactivity measurements are compared. In this study, to further enhance the reliability of the results obtained from the environmental radioactivity measurements and analysis around the nuclear power plants that have been carried out up to the present. In the korea standard, there is the technical analysis guide for general stable chemical element's, but there is not the technical analysis guide for the radionuclei. therefore the environmental sample collection, the pretreatment of the sample and radionuclide analysis in the sample, the result's of the environmental radioactivity measurements by each organization, etc. are different. It is not sufficient for the database to forecasting a change in radioactivity's circumstances. A comparative study of collection and pretreatment techniques for the soil sample, the results by comparison, the method of minimizing the relative error are proposed. At one side of sample collection, there are going to considered that the surroundings of sample collection like the lay of the land, the provision of the selection standard for the area and pathway of radionuclide adhesion, the coherence of sample collection, etc.. at another side of pretreatment of the sample and measurement in the case of soil sample, how to do homogeneously the soil particle size and the standard tools, i.e. kinds of meshes, must to be selected.

• The KIPS Transactions:PartA
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• v.17A no.4
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• pp.189-196
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• 2010

This paper presents an improved marker detection algorithm using hybrid features such as corner, line segment, region, and adaptive threshold values, etc. In usual augmented reality environments, there are often marker occlusion and poor illumination. However, existing ARToolkit fails to recognize the marker in these situations, especially, partial concealment of marker by user, large change of illumination and dim circumstances. In order to solve these problems, the adaptive threshold technique is adopted to extract a marker region and a corner extraction method based on line segments is presented against marker occlusions. In addition, a compensating method, corresponding the marker size and center between registered and extracted one, is proposed to increase the template matching efficiency, because the inside marker size of warped images is slightly distorted due to the movement of corner and warping. Therefore, experimental results showed that the proposed algorithm can robustly detect the marker in severe illumination change and occlusion environment and use similar markers because the matching efficiency was increased almost 30%.