• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.10
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• pp.4988-5012
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• 2019

As a subset of the Internet of Things, the Internet of Energy (IoE) is expected to tackle the problems faced by the current smart grid framework. Notably, the conventional day-ahead power scheduling of the smart grid should be redesigned in the IoE architecture to take into consideration the intermittence of scattered renewable generations, large amounts of power consumption data, and the uncertainty of the arrival time of electric vehicles (EVs). Accordingly, a day-ahead power scheduling system for the future IoE is proposed in this research to maximize the usage of distributed renewables and reduce carbon emission caused by the traditional power generation. Meanwhile, flexible charging mechanism of EVs is employed to provide preferred charging options for moving EVs and flatten the load profile simultaneously. The simulation results revealed that the proposed power scheduling mechanism not only achieves emission reduction and balances power load and supply effectively, but also fits each individual EV user's preference.

• THE INTERNATIONAL COMMERCE & LAW REVIEW
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• v.72
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• pp.81-113
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• 2016

The adoption of the YAR 2016 brings to an end the 12 years of uncertainty for shipowners and Marine insurers which followed the adoption of the YAR 2004, which did not have the support of shipowners, and which were very rarely used in preference to the well-established and well understood YAR 1994. The development and finalisation of the YAR 2016 is the product of an extensive review undertaken by the IWG with input from the International Group, international average adjusting community, National Maritime Law Associations, the International Chamber of Shipping, BIMCO and IUMI amongst others. The Group clubs welcome and support the adoption of the YAR 2016 and recommend its incorporation in members' future shipping contracts. The Club will be taking steps to adopt logical changes to the 2017 Rules. In the meantime, this circular serves as confirmation Club cover extends to all shipping contracts incorporating YAR 2016. This study analyse the adjustment practice of general average according to the application of YAR 2016.

• Journal of the Korean earth science society
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• v.28 no.5
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• pp.635-642
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• 2007

Using data from 132 telephone interviewees, we examined the role of affective-cognitive ambivalence in forming overall attitude and behavior toward toxic chemical and radioactive waste issues in Marion, Ohio in the U.S. In order to compare attitudinal preference, participants were divided into four A-C groups: action-group (Affective+/Cognitive+), detached-group (A-/C+), concerned-group (A+/C-), and inaction-group (A-/C-). Affective and cognitive components interacted, producing redundant influences on overall attitudes and judgments as frequently observed and postulated in previous attitude studies. The results showed that the action-group who were feeling unsafe and believed that environmental accidents had happened or are happening in Marion were less willing to move to the area than other three groups who were feeling safe and/or doubted reports of contamination and its relation with leukemia. Affective and cognitive components were found to have redundant influences on overall attitude. It was also observed that affective-cognitive ambivalence theory has a great potential for explaining the mechanism by which people form attitudes, especially when people have moderate or positive feelings (e.g. sympathy or eagerness for resources) toward the objects and/or when uncertainty is a major feature of environmental issue under consideration (e.g. global climate change).

• International conference on construction engineering and project management
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• 2015.10a
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• pp.496-500
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• 2015

International construction projects are inherently more risky than domestic projects with multi-dimensional uncertainties that require complementary risk management at both the country and project levels. However, despite a growing need for systematic country evaluations, most studies have focused on project-level decisions and lack country-based approaches for firms in the construction industry. Accordingly, this study suggests data-driven approaches for evaluating countries using two quantitative models. The first is a two-stage country segmentation model that not only screens negative countries based on country attractiveness (macro-segmentation) but also identifies promising countries based on the level of past project performance in a given country (micro-segmentation). The second is a multi-criteria country segmentation model that combines a firm's business objective with the country evaluation process based on Kraljic's matrix and fuzzy preference relations (FPR). These models utilize not only secondary data from internationally reputable institutions but also performance data on Korean firms from 1990 to 2014 to evaluate 29 countries. The proposed approaches enable firms to enhance their decision-making capacity for evaluating and selecting countries at the early stage of corporate strategy development.

• International Journal of Computer Science & Network Security
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• v.24 no.9
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• pp.150-156
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• 2024

With the advent of personalized search engines, a myriad of approaches came into practice. With social media emergence the personalization was extended to different level. The main reason for this preference of personalized engine over traditional search was need of accurate and precise results. Due to paucity of time and patience users didn't want to surf several pages to find the result that suits them most. Personalized search engines could solve this problem effectively by understanding user through profiles and histories and thus diminishing uncertainty and ambiguity. But since several layers of personalization were added to basic search, the response time and resource requirement (for profile storage) increased manifold. So it's time to focus on optimizing the layered architectures of personalization. The paper presents a layout of the multi agent based personalized search engine that works on histories and profiles. Further to store the huge amount of data, distributed database is used at its core, so high availability, scaling, and geographic distribution are built in and easy to use. Initially results are retrieved using traditional search engine, after applying layer of personalization the results are provided to user. MongoDB is used to store profiles in flexible form thus improving the performance of the engine. Further Weighted Sum model is used to rank the pages in personalization layer.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.38 no.3
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• pp.127-135
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• 2015

Universal design is defined as the design process of products and environments usable by all people to the greatest extent possible, without the need for adaptation or specialized design. The benefits of universal design have been promoted primarily through illustrative 'success stories' of public, residential and occupational environments and products. While case examples may be informative, they may unfortunately be limited in terms of generality to other designs or tasks. Therefore, design methods and criteria that can be applied systematically in a range of situations to encourage universal design are needed. In addition, the seven principles of universal design are intended to guide the design process. The principles provide a framework that allows a systematic evaluation of new or existing designs and assists in educating both designers and consumers about the characteristics of more usable products and environments. However, exactly how these principles are incorporated into the design process has beenleft up to the designer. Since the introduction of universal design, designers have become familiar with the principles of universal design, and they have developed many products based on universal design. However, the principles of universal design are qualitative, which means designers cannot quantitatively evaluate their designs. Some have worked to develop more systematic ways to evaluate products and environments by providing design guidelines for each of the principles. However, recommendations have not yet been made regarding how to integrate performance measures of universal design into the product design process before the product is mass produced. Furthermore, there are sets of requirements regarding each user group that has different age and ability. Consequently, there is an urgent need for design methods, based on a better understanding of age and ability related factors, which will lead to a universally designed product or environment. The authors have proposed the PSD (Preference Set-Based Design) method that can generate a ranged set of feasible solutions (i.e., robust and flexible solution set) instead of single point solution that satisfies changing sets of design targets. The objective of this paper is to develop a general method for systematically supporting the universal design process. This paper proposes the applicability of PSD method to universal design. Here, the proposed method is successfully illustrated with a universal design problem.

• Archives of design research
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• v.17 no.3
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• pp.431-440
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• 2004

Environment has formed characters of one society and the society has formed its characteristic cultural behaviors. Oppositely cultural behaviors make the characteristic products like environment and space products. It gives the idea that we can create cultural space by examining cultural characteristics. This research bases on the 5 cultural dimensions of Geert Hofstede to inspect cultural quality of Korea and the 10 cultural factors of Edward. T. Hall in order not to omit some part of cultural characters. From April 2004, KTX which is originated from TGV of France began toroll in Korea. It is interesting that the same interior of train is used by two different cultures. The method to find out the special quality of transportation culture of Korea passed 5 steps like following; 1) making a questionnaire to understand general concepts 2) observation to make dear what are the special behaviors in the interior of train 3) comparison valuation with marking sheet of the interiors of KTX and HSR in order to find out which space Korean people prefer 4) comparison of behaviors in the interior of KTX and TGV 5) Interviewing and surveying the opinions of passengers of KTX. With these methods it would be possible to seek out the characters, preferencesand needs for the interior space of train. There were remarkable things like following 1) importance of privacy from the other's eyes 2) seriousness of individual seat because of the short term transportation 3) necessity of continuous information because of 'Uncertainty Avoidance Culture' 4) absence of moving 5) requirement of bright and comfortable interior like one's inner room 6) preference to take a seat as a group with their friends or family due to 'Collective Culture' 7) self-defense and self-protection of one's baggage because of 'Uncertainty Avoidance Culture'. With these discoveries this research suggests guidelines to design interior of train of Korea.

• THE INTERNATIONAL COMMERCE & LAW REVIEW
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• v.19
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• pp.33-66
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• 2003

This is a comparative and analytical study which comprises of the analysis of the rules of the buyer's remedies where the seller delivers defective goods of four legal systems; Directive, CISG, English law and Korean law. In light of threefold main purposes of this study, it firstly attempts to describe and analyze the remedy provisions of Directive in a comparative way in order to provide legal advice to the sellers who plans to enter into English consumer markets. It shows that the two tier remedial system under Directive is not much different from the other jurisdictions, except where the right of rescission under Directive is absolute in a sense that it does not require a certain degree of seriousness of defect. Secondly, the study compares the rules of one jurisdiction with those of other jurisdictions and evaluates the rules in light of the discipline of comparative law the basic question of which is whether a solution from one jurisdiction may facilitate the systematic development and reform of another jurisdiction. It proves the followings; (1) the reluctance and uncertainty in English law of ordering specific performance based on the discretionary power does not reflect the parties' preference because the order is either uncertain or rather negative where the purchase of substitute goods elsewhere is not a satisfactory solution in many cases; (2) the position in Korean law which has no limitation on the right to require substitute goods is likely unfair in commercial sales, but justified in consumer sales; (3) the right of termination or reduction under Directive which is subject to the applicability of the right to require repair or substitute goods seems to be contrary to the consumer's preference where the defective delivery destroys the basis of trust in the quality of the seller's performance; (4) the absolute right of termination under Directive and English law seems crucial in consumer sales because they are often inferior to commercial sellers in terms of information and bargaining power; (5) the right of reduction as a self-help remedy which is absent in English law emphasizes its usefulness. Thirdly, it finds that, where CISG is deemed to fail to unify different rules on the right to require specific performance between Civil and Common law, it is attempted once again in Directive and notwithstanding their hostility to awarding the right to require specific performance in English law, Regulations 2002 expressively stipulates such right.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.5
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• pp.2140-2149
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• 2013

Managing uncertainty or discontinuity in an innovation is still a challenge to most companies. For sustainable corporate survival over the long term, one of the problems caused by discontinuous innovation is the innovator's dilemma. In specific, the dynamics between discontinuous innovation and incumbents inspires the interestof researchers and managers. This paper employs catastrophe theory as a theoretical basis to explain the driving force of new discontinuous change. In other words, we extract the control variables overcoming innovation dilemma by interpreting the dynamics of corporate strategy for discontinuous innovation from the perspective of catastrophe theory. First, we define four types of discontinuity such as technology discontinuity, product discontinuity, business discontinuity, and consumer preference discontinuity. Second, we analyze the dynamics of the competition between companies by interpreting the cases of discontinuous innovation. This analyzing process enables us to identify the control variable which can, in advance, respond to the discontinuous situation.

• Journal of the Ergonomics Society of Korea
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• v.29 no.4
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• pp.631-637
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• 2010

The aim of affective engineering is to develop a new product by translating customer affections into design factors. Affective data have so far been analyzed using a multivariate statistical analysis, but the affective data do not always have linear features assumed under normal distribution. Rough sets model is an effective method for knowledge discovery under uncertainty, imprecision and fuzziness. Rough sets model is to deal with any type of data regardless of their linearity characteristics. Therefore, this study utilizes rough sets model to extract affective knowledge from affective data. Four types of scent alternatives and four types of sounds were designed and the experiment was performed to look into affective differences in subject's preference on air conditioner. Finally, the purpose of this study also is to extract knowledge from affective data using rough sets model and to figure out the relationships between rough sets based affective engineering method and statistical one. The result of a case study shows that the proposed approach can effectively extract affective knowledge from affective data and is able to discover the relationships between customer affections and design factors. This study also shows similar results between rough sets model and statistical method, but it can be made more valuable by comparing fuzzy theory, neural network and multivariate statistical methods.