• Journal of the Korean Vacuum Society
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• v.12 no.S1
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• pp.36-39
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• 2003

Field-domain dynamics and current self-oscillations are theoretically studied in quantum-well (QW) negative-effective-mass (NEM) $p^{+}pp^{+}$ diodes when the electric field is applied along the direction of the well. The origin of current self-oscillations is the formation and traveling of electric-field domains in the p-base. We have accurately considered the scattering contributions from carrier-impurity, carrier-acoustic phonon, and carrier-optic phonon. It's indicated that, both the applied bias and the doping concentration largely influence the current patterns and self-oscillating frequencies, which lie in the THz range for the NEM $p^{+}pp^{+}$ diode with a submicrometer p-base. The complicated field-domain dynamics is presented with the applied bias as the controlling parameter.

• Journal of Korea Multimedia Society
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• v.25 no.6
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• pp.819-832
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• 2022

Cross-domain recommender system transfers knowledge across different domains to improve the recommendation performance in a target domain that has a relatively sparse model. However, they suffer from the "negative transfer" in which transferred knowledge operates as noise. This paper proposes a novel Multiple Fusion-based Deep Cross-Domain Recommendation named MFDCR. We exploit Doc2Vec, one of the famous word embedding techniques, to fuse data user-wise and transfer knowledge across multi-domains. It alleviates the "negative transfer" problem. Additionally, we introduce a simple multi-layer perception to learn the user-item interactions and predict the possibility of preferring items by users. Extensive experiments with three domain datasets from one of the most famous services Amazon demonstrate that MFDCR outperforms recent single and cross-domain recommendation algorithms. Furthermore, experimental results show that MFDCR can address the problem of "negative transfer" and improve recommendation performance for multiple domains simultaneously. In addition, we show that our approach is efficient in extending toward more domains.

• Asia Marketing Journal
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• v.24 no.1
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• pp.13-28
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• 2022

Despite the benefits of online shopping, we easily observe consumer behaviour when making purchases through offline channels. Why do they choose to go offline by taking the effort to go there? As a factor influencing decision-making, this study assumes that distrust of online shopping increases webrooming intentions that online consumers move to offline channels. Consumers check online reviews as well as seller information to increase their purchasing confidence. There are few studies on the effect of negative online reviews on consumers' purchasing decisions. Contrary to the pessimistic results of previous studies, the results of this study explain the mechanism by which consumers who saw negative online reviews feel distrust of online shopping and go to offline stores. It provides implications for understanding the migration phenomenon of online shoppers to offline channels and what strategies should be prepared to retain and attract customers to each channel.

• The Journal of Economics, Marketing and Management
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• v.3 no.3
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• pp.1-6
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• 2015

Quality auditor and auditors of larger firms have a positive effect on profit is unusual. The auditors smaller negative effect on profit companies profit is unusual. Change to larger audit shows the quality of earnings and to respond more investors positive changes in income and increased costs and reduced profitability is less negative price changes. Similarly, switching to a smaller auditor confirms the low quality of earnings, resulting in a negative response to the market. In this article market reaction (response investors) the quality of the audit and the auditor were studied in the Tehran Stock Exchange. in general, information about companies in capital market accounting to investors and the capital market is considered to be valuable.

• Proceedings of the Korean Information Science Society Conference
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• 2010.06a
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• pp.136-137
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• 2010

• Science of Emotion and Sensibility
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• v.22 no.4
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• pp.45-56
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• 2019

The regulation of emotion is known to mediate the relationship between emotion-relevant differences in individuals and their life outcomes. This study attempted to include a situational factor in addition to the mediation model and investigated whether this conditional component changed the patterns of indirect effects. The researchers recruited 180 emotional laborers working in diverse domains and used a questionnaire to ascertain their negative affectivity, cognitive reappraisal, emotional exhaustion, and the intensity of negative comments they usually received from customers. The results of the conditional indirect effect analysis revealed the positive indirect influence of negative affectivity on emotional exhaustion through cognitive reappraisal when emotional labors receive highly negative comments from customers (high intensity of the situation). Similarly, negative indirect effects were found when emotional labors receive slightly negative comments from customers (low intensity of the situation). The outcomes of this study suggest that cognitive reappraisal can mediate to decrease emotional exhaustion in contexts that arouse more intensive negative emotions; it can also mediate to increase emotional exhaustion in contexts that arouse less intensive negative emotions. The implications of this study include the importance of integrating individual differences with situational factors. The study also provides information about the distinctiveness of groups of emotional laborers.

• Journal of Korea Port Economic Association
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• v.25 no.2
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• pp.57-72
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• 2009

The purpose of this paper is to show the empirical measurement way of operation risk evaluation in domestic seaports for overcoming the limitations which the traditional DEA method has by using 13 Korean ports in 2003 for 4 inputs(birthing capacity, cargo handling capacity, number of coastal guard vessel, number o f coastal special guard vessel ) and 5 outputs(Export and Import Quantity, Number of Ship Calls, number of coastal accident, number of coastal crime, number of coastal pollution). Because traditional DEA method has produced the limited set of information, negative DEA mixed with tier, stratification and layering methods should be adopted. The goal of negative DEA is to set up DEA models that will place the poor operating ports on or close to the empirical frontier. The core empirical results of this paper are as follows. First, Donghae ports should benchmark the operation way of Yeasu, Busan, Woolsan ports in terms of the middle and longterm base. Second, 5 ports(ports of Taean, Yeasu, Tongyoung, Busan, Sokcho) which were revealed as the poor operating ports in Negative DEA analysis should benchmark Incheon, Woolsan, Pohan, and Donhae ports. The policy implication to the Korean seaports and planners is that Korean seaports should introduce the new methods like Negative DEA of this paper for predicting the poor operating in the ports.

• Journal of Korean Library and Information Science Society
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• v.32 no.1
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• pp.261-283
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• 2001

This study investigates the antecedents of the complaining behaviors and complaint responses of the library and information center users based on the theoretical backgrounds and suggests eight propositions and conceptual model for the library and information center. It examines as the antecedents, satisfaction/dissatisfaction, attitude toward complaining, likelihood of success, materials/facilities/service importance, attribution, loyalty, and justices; and as complaint responses. exit, voice(redress seeking), negative word-of-mouth, and third party complaints.

• The Journal of Information Systems
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• v.26 no.1
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• pp.21-51
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• 2017

Recently there have been an increasing number of companies suffering a negative brand image in the major media. Thompson et al. (2006) defined this as "$Doppelg{\ddot{a}}nger$ Brand Image." The images mentioned above have been created and propagated on Internet communities, which are one of the major paths of online spreading. This study will empirically analyze the effect of each $Doppelg{\ddot{a}}nger$ brand image on the customer's brand attitude, using a text-mining method focusing on "A company"'s case. This study will also cover the change in customer brand attitudes related to the company's correspondence in a situation in which the $Doppelg{\ddot{a}}nger$ brand image exists. In addition, the study will determine the presence of a priming effect after the spread of the $Doppelg{\ddot{a}}nger$ brand image. To that end, we collected 974 comments from 94,889 posts and A's official blogs related to A from B community, the largest automobile community site in Korea. Through this investigation, we obtained the following results. First, there was a significant difference in the ratio of negative sentiment of internet community before and after $Doppelg{\ddot{a}}nger$ brand image. Second, with regard to the topic modeling, the ratio of articles including negative topics increased and the other article ratio decreased over time. Finally, we found that there is a priming effect about negative brand image of "A company."

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.13 no.2
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• pp.123-128
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• 2020

A low phase noise phase locked loop (PLL) with negative feedback loop including frequency variation sensing circuit (FVSC) has been proposed. The FVSC senses the frequency variation of voltage controlled oscillator output signal and controls the volume of electric charge in loop filter capacitance. As the output frequency of the phase locked loop increases, the FVSC reduces the loop filter capacitor charge. This causes the loop filter output voltage to decrease, resulting in a phase locked loop output frequency decrease. The added negative feedback loop improves the phase noise characteristics of the proposed phase locked loop. The size of capacitance used in FVSC is much smaller than that of loop filter capacitance resulting in no effect in the size of the proposed PLL. The proposed low phase noise PLL with FVSC is designed with a supply voltage of 1.8V in a 0.18㎛ CMOS process. Simulation results show the jitter of 273fs and the locking time of 1.5㎲.