• Journal of Research and Publication Ethics
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• v.1 no.2
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• pp.11-13
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• 2020

Purpose: The author wants to specify scope of research, identify without giving burden, prevent unfair identification of the author, admit of production of the outcome, enact rules of identification, and build up foundation of development. Also, this study defines scope of publication of outcome of research to prevent unfair identification of authors and admit of them. Research design, data and methodology: The study described literary research, standard research, phenomenon research, and empirical result without methodologies, statistical analysis and scientific test and investigated operation system of KODISA cases. Results: At publication of findings of the research, researchers shall identify the ones of production of the finding to allocate help of the research. Conclusions: Scientific journals shall be controlled to develop ability and to grow up and have a system. Researchers shall give direction of other scientific journals. The study made efforts to be a model. KODISA Edition Team shall make an effort to keep and develop. So far, no regulation of identification of authors has produced disturbance so terminologies should be uniformed. Researchers shall keep rules of identification of authors to uniform and regulate identification of authors, conditions of authors, and order and correspondent authors. KODISA enacted rules of identification of authors for the first time in Korea to develop science.

• Phonetics and Speech Sciences
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• v.13 no.1
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• pp.45-51
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• 2021

End-to-end (E2E) automatic speech recognition (ASR) has achieved promising performance gains with the introduced self-attention network, Transformer. However, due to training time and the number of hyperparameters, finding the optimal hyperparameter set is computationally expensive. This paper investigates the impact of hyperparameters in the Transformer network to answer two questions: which hyperparameter plays a critical role in the task performance and training speed. The Transformer network for training has two encoder and decoder networks combined with Connectionist Temporal Classification (CTC). We have trained the model with Wall Street Journal (WSJ) SI-284 and tested on devl93 and eval92. Seventeen hyperparameters were selected from the ESPnet training configuration, and varying ranges of values were used for experiments. The result shows that "num blocks" and "linear units" hyperparameters in the encoder and decoder networks reduce Word Error Rate (WER) significantly. However, performance gain is more prominent when they are altered in the encoder network. Training duration also linearly increased as "num blocks" and "linear units" hyperparameters' values grow. Based on the experimental results, we collected the optimal values from each hyperparameter and reduced the WER up to 2.9/1.9 from dev93 and eval93 respectively.

• Journal of Environmental Science International
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• v.30 no.1
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• pp.19-28
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• 2021

To reduce pollution, decrease the production of carbon dioxide, and to maintain a secure supply of energy, interest continues to grow in the area of renewable energy especially since there is a finite supply of cheap oil. Wind energy is one of the most viable options to consider and supply part of the energy needed to reduce dependence on foreign oil. However, it is difficult to predict the wind speed in an environment with many obstacles such as buildings and trees and getting accurate dimensions of those obstacles is difficult particularly on sloped mountainous terrain. In this study a drone was used to create a 3-D map of the campus of the Catholic University of Pusan. The dimensions and elevations for the 3-D map were used to make a model of the school campus in the CFD program Envi-met. Simulations were run for five different wind directions and 4 different elevations to find the location that would give the highest electrical output for a wind turbine. When considering all of these variables it was found that the optimal location was above the Student Union which had a 40% higher wind speed and could produce 274% more electrical power than the original wind speed.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.4
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• pp.673-685
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• 2021

This study aims to determine theoretically the best workers layoff/training strategy that entrepreneurs should apply to manage the COVID-19 crisis successfully. It also examines the impacts of the Saudi government's emergency measures on firm performance. The paper develops a theoretical framework in which the optimal control technics is applied to model the entrepreneur's hiring, layoff, and training behaviors. The results show that, during the current COVID-19 pandemic, the entrepreneur should first lay off the less productive workers to reduce labor costs. As more and more inefficient workers quit and profit increases, the entrepreneur starts expanding his activity and training workers. In the long run, only the training activity allows the firm efficiency to grow at a constant rate. This finding suggests that the key to long-run economic recovery in Saudi Arabia will rely on training, innovation, and adaptability to the new digital environment. The paper also shows that the Saudi government initiative of covering 60% of salaries for the small- and medium-sized entrepreneurs during the COVID-19 pandemic will enhance training activities in small- and medium-sized enterprises and improve their efficiency in both the short and long run. This policy will also prevent Saudi entrepreneurs from laying off half of their staff.

• Journal of Information Processing Systems
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• v.17 no.1
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• pp.151-162
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• 2021

Quantum information has passed the theoretical research period and has entered the realization step for its application to the information and communications technology (ICT) sector. Currently, quantum information has the advantage of being safer and faster than conventional digital computers. Thus, a lot of research is being done. The amount of big data that one needs to deal with is expected to grow exponentially. It is also a new business model that can change the landscape of the existing computing. Just as the IT sector has faced many challenges in the past, we need to be prepared for change brought about by Quantum. We would like to look at studies on quantum communication, quantum sensing, and quantum computing based on quantum information and see the technology levels of each country and company. Based on this, we present the vision and challenge for quantum information in the future. Our work is significant since the time for first-time study challengers is reduced by discussing the fundamentals of quantum information and summarizing the current situation.

• Journal of Christian Education in Korea
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• v.65
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• pp.215-241
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• 2021

New models for prison ministry are crucial during the current era of mass incarceration in America-a time when the potential reach of prison ministries can grow as the population of incarcerated individuals grows. In this article, I lift up one prison ministry in New Jersey as an example of how Christian evangelicals who are engaged in traditional prison ministry can bravely open their minds and hearts to models of religious education that go beyond individual conversion toward communal transformation. In this article I present an example of a neo-evangelical group named Jericho Ministries, Inc., a prison ministry that understood this and consequently tried to develop a prison ministry that was not only a charitable endeavor, but also a just one.

• Journal of Korean Public Health Nursing
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• v.36 no.3
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• pp.402-416
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• 2022

Purpose: The goal of this study was to define and clarify the concept of 'rehabilitation' of stroke patients in the elderly. Method: For analyzing the concept of rehabilitation, this study used the hybrid model, which involves an in depth interview six stroke patients. Result: The concept of rehabilitation of patients with a stroke condition can be categorized with two dimensions; overcoming, new recovery aspects. Besides, three attributes and twelve indicators were analyzed. The concept of rehabilitation of patients with a stroke condition can be expressed as one of the following processes; It can be said that it is a process of accepting and overcoming one's physical limitations in order to overcome, and to grow resilience by making a leap from crisis to recovery with inner enforcement in dimension of new recovery. Conclusion: The rehabilitation is important for stroke conditioned patients in order to control their disease in the long term. The attributes and indicators drawn by this study could be used for tool development and useful resources of rehabilitation competence for stroke conditioned patients.

• Journal of Research and Publication Ethics
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• v.4 no.2
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• pp.13-17
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• 2023

Purpose: EAJBE is actively responding to changes in academic paradigms at domestic and abroad and is carrying out measures to maximize synergy effects between academic fields with the goal of being at the world level. This study aims to present a developmental strategy for EAJBE to grow into an academic journal with international public trust and prepare for future changes. Research design, data and methodology: This paper identifies the current status from the first issue of EAJBE to the present, and analyzes the overall development strategy and direction. Results: EAJBE continues to strengthen long-term investment for internationalization and activities to attract members of excellent scholars. Specifically, first of all, EAJBE aims to operate responsible academic journals, such as guaranteeing the long term of the president of the academic society, the chairman of the editorial board, and the editor-in-chief. EAJBE also focuses on expanding investment for internationalization from a long-term perspective. Finally, EAJBE actively strives for academic exchanges between scholars abroad and at home. Conclusions: EAJBE was indexed in the KCI of the Korea Research Foundation and currently operates a rigorous academic journal to be indexed in the SCOPUS. Already, EAJBE is doing its best to become a successful model for Korean academic journals. EAJBE's path forward will be the first one that no academic society has ever reached as the world's top academic journal.

• Journal of the Korean Society for Aviation and Aeronautics
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• v.31 no.1
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• pp.92-98
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• 2023

This paper used the golf course visitors' data in Jeju region to forecast the growth of inbound air traveler to Jeju. This is because the golf course visitors were proven to bring the highest economic and production inducement effect to the Jeju region. Based on such a data, this paper forecast the short-term growth rate of inbound air traveler using ARIMA to the Jeju until December 2025. According to ARIMA (0,1,0) (0,1,1) model, it was analyzed that the monthly number of golf course visitors to Jeju has been increasing steadily even since COVID-19 pandemic and the number is expected to grow until the end of 2025. Applying the same parameters of ARIMA (0,1,0) (0,1,1) to inbound air travel data, it was found the growth rate of inbound air travelers would be higher than the growth rate of 2019 shortly without moderate variation even though the monthly number of inbound travelers to Jeju had been dropped during COVID-19 pandemic.

• Journal of the Korea Society of Computer and Information
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• v.14 no.10
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• pp.217-223
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• 2009

Vocabulary recognition system of Mobile terminal is executed statistical method for vocabulary recognition and used statistical grammar recognition system using N-gram. If limit arithmetic processing capacity in memory of vocabulary to grow then vocabulary recognition algorithm complicated and need a large scale search space and many processing time on account of impossible to process. This study suggest vocabulary recognition optimize using MLHF System. MLHF separate acoustic search and lexical search system using FLaVoR. Acoustic search feature vector of speech signal extract using HMM, lexical search recognition execution using Levenshtein distance algorithm. System performance as a result of represent vocabulary dependence recognition rate of 98.63%, vocabulary independence recognition rate of 97.91%, represent recognition speed of 1.61 second.