• Science of Emotion and Sensibility
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• v.23 no.1
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• pp.69-78
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• 2020

This study compares and analyzes user experiences of intelligent personal assistant services based on the evaluation criteria of human-computer interaction to explore positive elements of user experiences and factors that could be improved. The research was conducted on Apple's Siri, Google's Google Associate, and Samsung's Bixby, which is presently the smartest personal assistant service on the market. The research method was to compare and analyze the concepts and characteristics of the current services through a literature review and by interviewing seven UI/UX design experts for the second 2 weeks using contextual inquiry. The interview reorganized Peter Morville's user experience honeycomb, reducing his seven usability principles down to five, asking questions about usability, convenience, visual attractiveness, reliability, and satisfaction. On the basis of the reconfigured usability principle, the assessment was conducted on the basis of the assessment timing and the system usability scale. This study is meaningful in that it analyzed the user experience of artificial intelligence personal assistant services both quantitatively and qualitatively.

• Journal of Digital Convergence
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• v.14 no.11
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• pp.297-304
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• 2016

The aim of the study is to combine software reuse with agile methods through reuse in the early stage of agile development. Although agile methods and software reuse have different practices and principles, these methods have common goals, such as reducing development time and costs and improving productivity. Both approaches are expected to serve as viable solutions to the demand for fast development or embracing requirement changes in the rapidly changing environments. In the present paper, we identify economical agile reuse and its type and study a reuse technique for input queue in Kanban board at the early stage of hybrid agile methods. Based on our results, we can integrate software reuse with agile methods by backlog factoring for input queue item in the hybrid Scrum and Kanban method. The proposed technique can be effectively applied to e-class applications and can reuse the input queue items, showing the combination of the two approaches. With this study, we intend to contribute to reuse in the early stage of agile development. In the future, we plan to develop a software tool for economical agile reuse.

• The Journal of Korean Institute of Electromagnetic Engineering and Science
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• v.17 no.4 s.107
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• pp.317-323
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• 2006

The conventional Wheeler cap method can extract the reliable efficiency of the antenna when the antenna operates as a simple series or parallel RLC circuit model. This method, however, may give an unreliable efficiency when the antenna under test has a complicated operating principle. In this paper, we revisit the conventional Wheeler cap method and propose a modified Wheeler cap method basedon the high-order circuit model. The proposed method can provide an accurate efficiency even for the antenna with a more complicated operating principle. Then we calculate efficiencies of other antennas with different operating principles and compare the results with the simulations.

• Journal of the East Asian Society of Dietary Life
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• v.6 no.1
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• pp.1-16
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• 1996

This study was conducted to obtain basic data for reinforcing and developing course programs in department of Food Science and Nutrition. For this purpose, data was collected from dietitians and professors who work at 2-and 4-year colleges. Results are as follows. 1. Many respondents (95.7%) support that It Is desirable to separate dietitian license into two types. Reasons are (1) specific knowledge required by job type is different(29.5%), and (2) to increse job performance (29.3%). 2. Most respondents(95.4%) agree that course programs are needed to be revised. Because (1) current programs are inadequate to provide specific knowledge required at field work (67.8%), and (2) the programs are not helpful to increase job performance of dietitians (54.1%). 3. Respondents of dietitians want to extend applied science area(37.7%) and reinforce lab training (63.1%), as principles of program revision. 4. Course titles which need to be reinforced are Internship(95.8%) and Lap training(67.8%). 5. Specialized areas which need to be reinforced are Food Service Managemant and Practical Training(90.9%), Nutrition Education and Guide(88.9%), Public Health Nutrition(79.0%), Basic Area for Clinics(85.6%), Basic area for Education and Counselling(87.1%), and Cooking Science(77.5%) 6. Courses which are needed to be reinforced by respondents(over 75% agree) are Computer Management for Food Service, Counselling, Nutrition and Disease, Diet Therapy, Quantity Cooking, Internship, Public Health (Health Care), Community Nutrition(Environment and Nutrition), Clinical Nutrition, Psychology, and Communication.

• Journal of Practical Engineering Education
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• v.13 no.2
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• pp.233-242
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• 2021

In this paper, as a liberal arts course for non-majors, we proposed a supervised learning artificial neural network parameter optimization method and a basic education method for activation function to design a basic artificial neural network subject curriculum. For this, a method of finding a parameter optimization solution in a spreadsheet without programming was applied. Through this training method, you can focus on the basic principles of artificial neural network operation and implementation. And, it is possible to increase the interest and educational effect of non-majors through the visualized data of the spreadsheet. The proposed contents consisted of artificial neurons with sigmoid and ReLU activation functions, supervised learning data generation, supervised learning artificial neural network configuration and parameter optimization, supervised learning artificial neural network implementation and performance analysis using spreadsheets, and education satisfaction analysis. In this paper, considering the optimization of negative parameters for the sigmoid neural network and the ReLU neuron artificial neural network, we propose a training method for the four performance analysis results on the parameter optimization of the artificial neural network, and conduct a training satisfaction analysis.

• The Journal of the Convergence on Culture Technology
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• v.9 no.5
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• pp.91-98
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• 2023

This study is an exploratory research on smart healthcare services, specifically focusing on a multi-channel CCR based healthcare service system. The study examines the overview and operational principles of the service system, highlighting the significance of user communication and its role in the system's functionality. Furthermore, the study investigates the impact of service quality on user satisfaction and intention to continue using the service. To achieve this, a structural equation modeling(SEM) analysis was conducted with a sample of 188 users who owned and utilized healthcare devices and apps. The results indicate that service quality dimensions (reliability, responsiveness, empathy, assurance, and tangibility) all had a positive influence on user satisfaction. Additionally, user satisfaction was found to have a significant impact on intention to continue using the service. The findings of this study contribute to exploring the effectiveness and potential value of CCR-based smart healthcare services. It was also provided insights for the future development of smart healthcare systems that offer accurate health information and personalized services for individual health management and prevention.

• Journal of The Korean Association of Information Education
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• v.19 no.1
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• pp.69-76
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• 2015

In current information society, there is a barrier called digital divide. Due to this barrier, the disabled have difficulties to communicate with the world. Recently, with advanced smart techniques, smart devices become necessity for the disabled. Currently improvements of smart application accessibility become a great concern for the disabled. The purpose of this paper is to present some guidelines for enhancing smart application accessibility for the disabled. The enhancement guidelines are developed based on the existing mobile accessibility guidelines and modified for better adaptability for the disabled. Our principles are as follows: minimizing blue light emission from smart devices, automatic focus on input window, action trace, font color change, emergency notification by motion, gesture recognition, control location, scrolling avoidance, auditory service for visual warning, and icon literation.

• Journal of Korea Multimedia Society
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• v.4 no.3
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• pp.230-237
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• 2001

Adaptive filters are widely used for acoustic echo canceler, adaptive equalizer and adaptive noise canceler. Coefficients of adaptive filters are updated by NLMS algorithm. However, Coefficients are misaligned by ambient noises when they are adapted by NLMS algorithm. In this Paper, a method determined the adaptation constant by low-pass filtered instantaneous gradient vector of LMS algorithm using orthognality principles of optimal filter is proposed. At initial states, instantaneous gradient vector, that is the cross-correlation of input signals and estimation error signals, has large value because input signals are remained in estimation error signals. When an adaptive filter is conversed, the cross-correlation will be close to zero. It isn's affected by ambient noises because ambient noises are uncorrelated with input signals. Determining adaptation constant with the cross-correlation, adaptive filters can be robust to ambient noises and the convergence rate doesn't slower As results of computer simulations, it is shown that the performance of proposed algorithm is betted than that of conventional algorithms.

• Journal of KIISE:Software and Applications
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• v.37 no.12
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• pp.871-881
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• 2010

Objective: A clinical contents model is an essential data model to exchange clinical data, among existing computer systems and enhance consistency of necessary data, in terms of its meaning and reusability. However, there has not been a domestic case where such clinical model is developed till present. Methods and Results: This research is based on determining principles of developing clinical information model which is a specified model of Health level 7 Reference Information Model and attempts to identify clinical contents with types of ENTITY-ATTRIBUTE-VALUE, based on terminology standard by clinicians and domain modelers. Conclusion: This model is projected to be utilized in the next generation of EMR as core contents.

• The KIPS Transactions:PartC
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• v.9C no.6
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• pp.847-856
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• 2002

Cellular network applications are growing drastically and this requires a fast and efficient transport method between the base station and the mobile switching center. One possible solution is to use ATM links. The low data rate and small-sized packets in the typical cellular applications imply that significant amount of link bandwidth would be wasted, if this small sized packet is carried by one ATM cell. For efficient operation for such cellular and low bit rate applications, a new type of ATM Adaptation Layer, AAL Type 2, has been proposed. In this paper, the principles of AAL Type 2 are briefly described along with the introduction of other alternatives which have formed the basis for this new AAL. The result from the simulation to study the performance of the AAL Type 2 is discussed from the view point of packet delay and ATM cell use efficiency. Due to the variable size of packets in this application, the fairness issue in serving variable sized packets is also discussed along with the effect of fair queueing algorithm implemented at AAL Type 2.