• ETRI Journal
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• 제45권6호
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• pp.974-981
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• 2023

This paper presents a transition-limited pulse-amplitude modulation (TLPAM) signaling method to enable a high data rate and robust wireline communications. TLPAM signaling addresses the impact of high intersymbol interference (ISI) ratios in conventional M-ary PAM signaling methods by limiting the maximum voltage transition level between adjacent symbols. The implementation of a TLPAM signaling encoder is realized by setting back the most significant bits (MSBs) in the queue. The correlation between TLPAM's maximum transition level, effective data rate, and eye width/height is analyzed with various channel loss parameters, followed by characterization and measurement results with a realistic channel setup. The analysis and experimental results reveal the effectiveness of the proposed TLPAM signaling scheme for achieving a high data rate with minimal interference.

• International Journal of Internet, Broadcasting and Communication
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• 제16권1호
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• pp.63-71
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• 2024

Deep reinforcement learning (RL) significantly influences autonomous vehicle development by optimizing decision-making and adaptation to complex driving environments through simulation-based training. In deep RL, an activation function is used, and various activation functions have been proposed, but their performance varies greatly depending on the application environment. Therefore, finding the optimal activation function according to the environment is important for effective learning. In this paper, we analyzed nine commonly used activation functions for RL to compare and evaluate which activation function is most effective when using deep RL for autonomous vehicles to learn highway merging. To do this, we built a performance evaluation environment and compared the average reward of each activation function. The results showed that the highest reward was achieved using Mish, and the lowest using SELU. The difference in reward between the two activation functions was 10.3%.

• International Journal of Internet, Broadcasting and Communication
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• 제16권1호
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• pp.253-260
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• 2024

We studied to aim for exploring practical approaches to enhance the effectiveness of creativity education by using artificial intelligence and the metaverse in the field of media contents. Recognizing the need for educational innovation to adapt to the accelerating changes driven by the advancements in artificial intelligence and the metaverse, and considering the increasing importance of fostering creativity as a key competitive advantage for future talents, we focused on research implementing creativity education in the media contents domain. To achieve this, we conducted this study during a semester-long media contents course utilizing artificial intelligence and the metaverse in real classroom setting. We involved in this study collecting feedback and opinions from students to investigate and identify effective strategies for enhancing the impact of creativity education. As a result, we proposed the utility of media contents class using artificial intelligence and the metaverse in enhancing students' creativity. By elucidating which teaching methods are most effective, we contributed to derive beneficial outcomes for media contents creative education.

• International Journal of Internet, Broadcasting and Communication
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• 제16권3호
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• pp.205-211
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• 2024

Effective warehouse management requires advanced resource planning to optimize profits and space. Robots offer a promising solution, but their effectiveness relies on embedded artificial intelligence. Multi-agent reinforcement learning (MARL) enhances robot intelligence in these environments. This study explores various MARL algorithms using the Multi-Robot Warehouse Environment (RWARE) to determine their suitability for warehouse resource planning. Our findings show that cooperative MARL is essential for effective warehouse management. IA2C outperforms MAA2C and VDA2C on smaller maps, while VDA2C excels on larger maps. IA2C's decentralized approach, focusing on cooperation over collaboration, allows for higher reward collection in smaller environments. However, as map size increases, reward collection decreases due to the need for extensive exploration. This study highlights the importance of selecting the appropriate MARL algorithm based on the specific warehouse environment's requirements and scale.

• 간호행정학회지
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• 제7권2호
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• pp.193-204
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• 2001

The purpose of this study was to provide basic information for developing effective marketing strategies of nursing organization by identifying the influence of internal marketing factors on the nurses' organizational commitment. The subjects of this study were 256 nurses who were working in the hospital over 1 year at three university hospitals which had more than 400 beds in seoul and kyung-gido. The data were collected by self-reporting questionnaires. The instruments used in this study were the communication form scale developed by Jo(1995), the welfare scale developed by researcher, the education training scale developed by researcher, the organizational commitment scale developed by Mowday, Porter and Steers(1979). The data were analysed by the SAS package using frequency, percentage, mean, standard deviation, Pearson's correlation coefficient and stepwise multiple regression. The results of this study were as follows; 1. In mean score of internal marketing factors in nursing organization, horizontal communication was 3.42, downward communication 3.32, involvement communication 3.08, upward communication 3.00, education training 2.54, welfare 2.51. The meas score of organizational commitment was 3.00. 2. Organizational commitment was positively correlated with upward communication(r=0.48, p=0.0001), education training(r=0.42, p=0.0001), horizontal communication(r=0.36, p=0.0001), welfare(r=0.34, p=0.0001), involvement communication(r=0.25, p=0.0001) of internal marketing factors in nursing organization, but was negatively correlated with downward communication(r=-0.20, p=0.0014). 3. The major internal marketing factors which influence organizational commitment was upward communication. Upward communication explained 23% of organizational commitment. If education training, horizontal communication, welfare and downward communication were added, 38% of the variance would be explained. In conclusion, the results of this study showed that the higher upward communication level among the internal marketing factors was doing more important role in nurses' organizational commitment. Therefore, for improvement of nurses' organizational commitment, it is important to improve upward communication and to develop the education training program among the internal marketing factors.

• 한국병원경영학회지
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• 제14권3호
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• pp.83-103
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• 2009

The main objective of this study is to investigate the influence of physician's communication styles and quality, and physician-patient relationship on patient satisfaction for improving physician's communication which is one of factors determining service quality in health care services, and providing the suggestion for building the positive physician-patient relationship. Data were collected from 341 inpatients in 13 general hospitals and university hospitals located in Busan Metropolitan City and Kyeongsang-do area using structured self-administered questionnaires. Major results of the empirical analysis are as follows; First, mutual-opened-cooperative physician-patient relationship, patient's communication receptive attitude, patient-oriented physician's communication style, and quality were significantly varied by respondents' characteristics such as age, consensual, job, and income. Second, empathy, patient's communication receptive attitude, physician-patient relationship, and patient satisfaction were significantly varied by respondents' medical-related conditions. Third, there was a significant correlation between active communication receptive attitude of patient and mutual-opened-cooperative physician-patient relationship. Fourth, patient-oriented physician's communication style and physician-patient relationship were found to have positive influence on total communication quality and effectiveness and empathy facet of communication quality both. Finally, patient-oriented physician's communication style, empathy, active communication receptive attitude of patient, and mutual-opened-cooperative physician-patient relationship were found to have positive influence on patient satisfaction. This research findings suggest that putting emphasis on effective physician's communication and enhancing positive physician-patient relationship are crucial for marketing activities and customer satisfaction management in health care settings.

• 한국문헌정보학회지
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• 제25권
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• pp.83-150
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• 1993

Traditionally, the emphasis of the information services had been placed on the information provider's knowledge of information sources or information systems. However, in view of the increasing complexity of the information environment. and changes taking place in information professions the evaluation of the information services has callded for further research in interpersonal communication aspects of the librarian user interface especially that which links to user satisfaction. This experimental study was carried out for the purpose of exploring the implications of nonverbal behaviors in measuring user satisfaction in the light of the fact that the meaning of nonverbal clues includes more than verbal communication especially in dealing with variable barriers even though they operate at low levels of awareness. In this sense, among the wide range of nonverbal communication areas in particular kinesics, artifacts and the proximics were examined to suggest alternative model which can be applied effectively in our specific set of information work environment. Two major university libraries and two research libraries in Korea were chosen and visited for the anlysis and per each refernce/information interview the librarian's nonverbal behaviors were checked on the observer's checklist and the qustionnaires completed by the user at a time. On the basis of these data firstly, the relation of user satisfaction concerned with the librarian's nonverbal communication to user satisfaction with information services was analyzed and the possible communication barriers were investigated. In addition, the effect of training the information librarian with positive nonverbal communication skills on the user's satisfaction was analyzed in a SAS computer program in the area of kinesics. On the other hand, the effect of other nonverbal behaviors such as proximics and artifacts known very important clues to improving a complex human interaction was discussed along with their experimental results. In conclusion, it was found that most of users were not sensitive to the importance of nonverbal behaviors exposed by the information librarian, but it was proved that the ultimate user satisfaction and the satisfaction of the librarian's nonverbal behaviors are correlated positively, Moreover, nonverbal behaviors displayed by the trained librarian toward the user had a considerable effect on the user's evalution of information services compared with those by the untrained. These findings imply that in order to control the librarian's nonverbal behaviors and to help the user overcome his barriers the information librarian as a specialist needs to assure and modify willilingly his communication behavior. Without making effective use of such nonverbal communication, information librarian could not expect to meet the user's information needs either. However, when these positive nonverbal behaviors are applied it would be highly desirable to be aware of cultural and contextual differences. With regard to increasing information services success the applicable nonverbal communication model for library management and education can be suggested as below.

• Journal of information and communication convergence engineering
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• 제9권2호
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• pp.201-206
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• 2011

FRUC (Frame Rate Up-Conversion) technique needs an effective frame interpolation algorithm using motion information between adjacent neighboring frames. In order to have good visual qualities in the interpolated frames, it is necessary to develop an effective detection and interpolation algorithms for occluded regions. For this aim, this paper proposes an effective occluded region detection algorithm through the adaptive forward and backward motion searches and also by introducing the minimum value of normalized cross-correlation coefficient (NCCC). That is, the proposed scheme looks for the location with the minimum sum of absolute differences (SAD) and this value is compared to that of the location with the maximum value of NCCC based on the statistics of those relations. And, these results are compared with the size of motion vector and then the proposed algorithm decides whether the given block is the occluded region or not. Furthermore, once the occluded regions are classified, then this paper proposes an adaptive interpolation algorithm for occluded regions, which still exist in the merged frame, by using the neighboring pixel information and the available data in the occluded block. Computer simulations show that the proposed algorithm can effectively classify the occluded region, compared to the conventional SAD-based method and the performance of the proposed interpolation algorithm has better PSNR than the conventional algorithms.

• 한국전자통신학회논문지
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• 제12권1호
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• pp.237-242
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• 2017

장마나 집중호우 등에 의한 지속적인 강우는 비점오염원의 유출과 더불어 유량을 증가시킨다. 그리고 유량의 증가로 수위가 상승하게 되면 하천 주변에 산재되어 있던 부유쓰레기는 빨라진 유속에 의해 이동하게 된다. 하지만 현재 국내외에서 강우량과 유량을 분석하여 부유쓰레기의 이동량을 정량적으로 산출한 연구 사례는 없었다. 이에 본 연구에서는 SCS-CN 방법을 이용하여 산출한 유효 강우량과 유량 변화에 따른 이동 경로 모니터링 결과를 토대로 부유쓰레기의 이동량을 산정하였다.

• International journal of advanced smart convergence
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• 제4권2호
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• pp.20-28
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• 2015

In this paper, we propose an effective tracking algorithm with an appearance model based on features extracted from a video frame with posture variation and camera view point adaptation by employing the non-adaptive random projections that preserve the structure of the image feature space of objects. The existing online tracking algorithms update models with features from recent video frames and the numerous issues remain to be addressed despite on the improvement in tracking. The data-dependent adaptive appearance models often encounter the drift problems because the online algorithms does not get the required amount of data for online learning. So, we propose an effective tracking algorithm with an appearance model based on features extracted from a video frame.