• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.39 no.5
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• pp.297-311
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• 2021

Around the world, there is an increasing interest in Digital Twin cities. Although geospatial data is critical for building a digital twin city, currently-established spatial data cannot be used directly for its implementation. Integration of geospatial data is vital in order to construct and simulate the virtual space. Existing studies for data integration have focused on data transformation. The conversion method is fundamental and convenient, but the information loss during this process remains a limitation. With this, standardization of the data model is an approach to solve the integration problem while hurdling conversion limitations. However, the standardization within indoor space data models is still insufficient compared to 3D building and city models. Therefore, in this study, we present a comparative analysis of data models commonly used in indoor space modeling as a basis for establishing a generic indoor space feature model. By comparing five models of IFC (Industry Foundation Classes), CityGML (City Geographic Markup Language), AIIM (ArcGIS Indoors Information Model), IMDF (Indoor Mapping Data Format), and OmniClass, we identify essential elements for modeling indoor space and the feature classes commonly included in the models. The proposed generic model can serve as a basis for developing further indoor feature models through specifying minimum required structure and feature classes.

• PNF and Movement
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• v.11 no.1
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• pp.79-88
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• 2013

Purpose : Currently, ICF to describe the functions and disability in the world has been used as a universal language. ICF tools based on ICF, the rehabilitation management of clients have been developed to be efficient. This study was designed to describe clinical decision for functional goal of clients to used ICF tools. Methods : In the following the utilization of all developed ICF tools will be described within a case example of a 53-year-old women, suffering from cerebellum disorder. As problems in the subject's functional activities was difficulties in changes sitting postures, standing postures and maintaining standing postures. Activity limitation was determined change sitting, standing posture as a goal through discussion with the patient. Results : After setting the identified problems as the purpose of intervention through the assessment, we find out the outcomes using the ICF evaluation display. Consequently, with functional activities limitation that discovered from assessment(categorical profile, assessment sheet), sitting postures to standing postures and maintaining standing postures were improved. Conclusion : This study was showed ICF tools based on Rehab-cycle for the patient's functional goals clinical practice. The future study, the ICF in clinical practical tools for effective use will require more attempt.

• Cross-Cultural Studies
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• v.36
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• pp.241-270
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• 2014

The aim of this article is to review the traditional methodologies of teaching translation that concentrate on text-typologies and, as an alternative, to propose an eclectic multi-componential approach that involves a set of interdisciplinary skills with a view to improving the trainee translators' competences and skills. To this end, three approaches, namely a minimalist approach, a pre-transferring adjustment approach and a revision vs. editing approach are proposed to shift the focus of attention from teacher-centred approaches towards student-centred approaches. It has been shown that translator training programmes need to focus on improving the trainee translators' competences and skills, such as training them how to produce and select among the different versions they produce by themselves with justified confidence as quickly as they can (minimalist approach), adjust the original text semantically, syntactically and/or textually in a way that the source text supplely accommodates itself in the linguistic system of the target language (pre-transferring adjustment), and revise and edit others' translations. As the validity of the approach proposed relies partially on instructors' competences and skills in teaching translation, universities, particularly in the Arab world, need to invest in recruiting expert practitioners instead of depending mainly on bilingual teachers to teach translation.

• Animal Systematics, Evolution and Diversity
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• v.37 no.3
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• pp.255-272
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• 2021

Etymologies are explanations of what our words meant and how they sounded 600 to 2,000 years ago. When Linnaeus in the mid-1700s began naming animals with a binomial nomenclature, he based names on the Latin Grammatical Form. Since many names have Latin or Greek roots, the name for an animal is the same throughout the world because Latin is no longer a spoken language and meanings of names will not evolve or change. In his use of Latin or a Latinized word for the genus and species, Linnaeus used descriptive words that will always be the same. Notwithstanding the importance of etymologies for scientific names, no study has addressed the etymology of scientific names for Korean mammals. Here, we list etymologies for scientific names of 127 mammal species, 84 genera, 32 families, and 8 orders from Korea. The origins of etymologies are mostly based on morphology, color of pelage, behavior, distribution, locality, country name, or a person's name. This paper will be useful for new students and trained scholars studying Korean mammals.

• Journal of Koreanology Reviews
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• v.1 no.1
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• pp.1-23
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• 2022

HunMinJeongEum, meaning "the right sound to teach the people," was created in 1443 CE by King Sejong the Great, the fourth king of the Joseon Dynasty. In today's modern language, this letter, called Hangeul, is internationally recognized for its linguistic science. However, it is hard to find a comprehensive study on the fact that King Sejong himself created Hangeul, the Confucian perspective on natural disasters and democracy revealed in the process of writing, the independent efforts emphasized from a certain period, and the achievements of King Sejong, who shared the sorrow of the people and carried out national policies despite the extreme opposition of the nobility. Accordingly, I analyzed the consonants of HunMinJeongEum and looked at the essence of humanity and oriental philosophy (Yin-Yang Five Elements, Sangsu Philosophy, Hado). Surprisingly, different meanings from previous studies and interpretations were found, and King Sejong's "Da Vinci Code," which was left behind in the process of making the consonant, is reinterpreted and revealed. King Sejong's achievements were all connected as one. This is the root of democracy in the Republic of Korea today, and this is why King Sejong was selected as the most beloved and respected historical figure by the Korean people. This study will start with more people's understanding of the fundamental perception and philosophy of the world in Asia, including Korea, to reinterpret and reveal the hardships and great achievements experienced by a leader of a country in the process of creating korean alphabet, and to emphasize democracy, which is an important value for Asians and Westerners' mutual respect and co-prosperity.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.22 no.5
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• pp.105-110
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• 2022

Domestically, we are capable of designing high-end memory semiconductors, but not in processors, resulting in unbalance. Using Vivado as a development enivronment and implementing the processor on a Xilinx FPGA reduces time and cost dramatically. In this paper, the popular language VHDL which is widely used in Europe, universities, and research centers around the world for the digital system design is used for designing a pipelined 32-bit ARM processor, implemented on FPGA and verified by Integrated Logic Analyzer. As a result, the ARM processor implemented on FPGA could execute ARM instructions successfully.

• CELLMED
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• v.12 no.4
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• pp.15.1-15.3
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• 2022

The purpose of this study is to examine the joy, anger, sorrow, and pleasure of Koreans in Arirang songs. Arirang is a representative song that strengthens the collective identity and social bond of Koreans. For Koreans who mainly eat rice, Arirang represents rice, life, and reason for its existence. Koreans have been singing Arirang together for a long time, overcoming pain, sadness, and hardships and consoling their minds and bodies. Arirang is a national music that is loved more and sung more often than the national anthem. The hill on the mountain is not a place to stay. The pass is a passing place. This gives us a lot of thought. We have various difficulties living in the world. The word Arirang means that Arirang is not one state. The end of joy, anger, sorrow, and pleasure is surely a joy. Arirang Pass (Arirang Gogae) is not a staying pass, but a crossing pass. Arirang, which contains joy, anger, sorrow, and pleasure, is a soul song and a consolation medicine for mental and physical health. We suggest that Arirang song compared to standard care may have beneficial effects on anxiety, hope, pain, and depression in patients.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.12
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• pp.3868-3888
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• 2022

A widely used social networking service like Twitter has the ability to disseminate information to large groups of people even during a pandemic. At the same time, it is a convenient medium to share irrelevant and unverified information online and poses a potential threat to society. In this research, conventional machine learning algorithms are analyzed to classify the data as either non-rumor data or rumor data. Machine learning techniques have limited tuning capability and make decisions based on their learning. To tackle this problem the authors propose a deep learning-based Rumor Detection Neural Network model to predict the rumor tweet in real-world events. This model comprises three layers, AttCNN layer is used to extract local and position invariant features from the data, AttBi-LSTM layer to extract important semantic or contextual information and HPOOL to combine the down sampling patches of the input feature maps from the average and maximum pooling layers. A dataset from Kaggle and ground dataset #gaja are used to train the proposed Rumor Detection Neural Network to determine the veracity of the rumor. The experimental results of the RDNN Classifier demonstrate an accuracy of 93.24% and 95.41% in identifying rumor tweets in real-time events.

• Journal of Daesoon Thought and the Religions of East Asia
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• v.2 no.1
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• pp.13-29
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• 2022

Daesoon philosophy has been described as a quintessential Korean philosophy. Given the great difference between traditional Western and East Asian ways of thinking, how can such a quintessential Korean philosophy be explained to people who have no background in traditional East Asian thought? After all, the Daeson Jinrihoe way of approaching such core problems as how to make this world a better place is not only very different from the way the West has traditionally approached such problems, Daesoon Jinrihoe uses terminology which most Westerners are not very familiar with. Translation into Western languages such as English helps, but a conceptual gap remains because of the differences in the way key Daesoon Jinrihoe terms are understood in the West. As a first step toward overcoming that gap, I discuss three key teachings of Daesoon philosophy and how their translations into English need to be amplified so that people in the West who are not well versed in East Asian philosophy can gain a more accurate understanding of what those terms and phrases mean in their original language. The three items discussed here are the tenet "virtuous concordance of yin and yang," the Essential Attitude of sincerity, and the precept "do not deceive yourself."

• International Journal of Computer Science & Network Security
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• v.22 no.11
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• pp.319-323
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• 2022

Handwritten text recognition is one of the active research areas nowadays. The progress in this field differs in every language. For example, the progress in Arabic handwritten text recognition is still insignificant and needs more attentions and efforts. One of the most important fields in this is Arabic handwritten manuscript text recognition which focuses in extracting text from historical manuscripts. For eons, ancients used manuscripts to write everything. Nowadays, there are millions of manuscripts all around the world. There are two main challenges in dealing with these manuscripts. The first one is that they are at the risk of damage since they are written in primitive materials, the second challenge is due to the difference in writing styles, hence most people are unable to read these manuscripts easily. Therefore, we discuss in this study different papers that are related to this important research field.