• Journal of Advanced Navigation Technology
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• v.28 no.4
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• pp.472-479
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• 2024

Half of the world's total population lives in cities, continuous urbanization is progressing, and the urban population is expected to exceed two-thirds of the total population by 2050. To resolve this phenomenon, the Korean government is focusing on building a new urban air mobility (UAM) industrial ecosystem. Airlines are also part of the UAM industry ecosystem and are preparing to improve efficiency in safe operations, passenger safety, aircraft operation efficiency, and punctuality. This study performs demand forecasting using time series data on the number of daily passengers on Korean Air's Gimpo to Jeju route from 2019 to 2023. For this purpose, statistical and machine learning models such as SARIMA, Prophet, CatBoost, and Random Forest are applied. Methods for effectively capturing passenger demand patterns were evaluated through various models, and the machine learning-based Random Forest model showed the best prediction results. The research results will present an optimal model for accurate demand forecasting in the aviation industry and provide basic information needed for operational planning and resource allocation.

• Journal of Acupuncture Research
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• v.35 no.3
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• pp.101-103
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• 2018

Cupping therapy (CT) is used in Asia, Europe, and the Middle East and is prevalent in Muslim communities where it is recommended by the Prophet of Islam. The majority of modern, medical practitioners interested in CT, view it as a medical technique and distance themselves from the mechanisms proposed by traditional medicine. However, modern medicine does not offer a valid explanation for the mechanisms involved in CT. There is growing evidence of CT's effectiveness, specifically in chronic pain management when compared to an inactive control, but not against sham treatment. CT accompanied by religion and prayer, as it is in Muslim communities, cannot be considered to be equivalent to any procedures in modern medicine. "Whole System Research" may be the most appropriate trial design to test the ancient practice of CT efficacy whilst pending development of a novel placebo for assessing the connectivity of body and mind interventions.

• Asian review of World Histories
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• v.4 no.2
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• pp.231-256
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• 2016

This paper presents a case study of the Muslim diaspora through comparative analysis of Islamic tombstones from the Southeast Coast of China under Mongol rule. The locations of the nisbas in the Islamic tombstones are widely dispersed, covering Xinjiang, Transoxiana, Iran, Khorasan, Khwarazm, Armenia, Syria, Palestine, and Arabia. Unexpectedly, we did not find a single named location from India or Southeast Asia. It is well known that notable descendants of distinguished families traditionally produced officials, intellectuals, and wealthy merchants, and surrendered to the Mongols during the war against the Qara Khitai Khanate and the Khwarazm Empire. There were a great number of appointed officials with Muslim names in the Jianghuai (around Lower Yangtze) and Fujian regions. This is consistent with the concentration of epitaphs written in Arabic on the southeast coast of China. The frequent use of the specific tradition of the prophet Muhammad associating the death of the exile with martyrdom in Islamic tombstones in Quanzhou, Hangzhou, and Yangzhou indicates that the Muslims in these port cities eventually established an interregional or diasporic identity of Muslim foreighners whoimmigrated into the region.

• Proceedings of the Korean Society of Computer Information Conference
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• 2021.07a
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• pp.525-526
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• 2021

최근 금리 인하로 주식을 비롯한 다양한 금융상품에 대한 투자가 급증하고 있다. 주식 시장에서 가격은 시장의 모든 정보들이 반영된 결과로서 주식의 가격 변동을 이용하여 가격 패턴을 찾아낸 후 다양한 분석기법으로 주가 지수를 예측하는 연구들이 진행되어 왔다. 그러나 주식 시장은 기업의 내·외부 요인들의 상호관계가 주가 형성에 많은 영향을 주는 가격 결정 메카니즘으로 인해 주가의 변동을 설명할 수 없는 경우가 자주 발생하고 있다. 따라서 주식 시장 예측을 위해서는 시장 내부의 변화와 외부 사건들을 함께 반영할 수 있는 방법이 필요하다. 본 논문에서는 뉴스 기사들에 대한 감성 분석과 주가지수의 시계열 데이터를 딥러닝 예측 모델을 통해 주식 시장의 추세를 예측할 수 있는 주가지수 예측 프로그램을 제안한다.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.20 no.5
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• pp.1020-1030
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• 2016

This paper propose an improving relay node selection method for node-to-node connectivity. This concern with the mobility and analysis of deployed for masking operation using highest connectivity node. The major of Delay Tolerant Network (DTN) routing protocols make use of simple forwarding approach to transmit the message depend on the node's mobility. In this cases, the selection of the irrelevant mobile node induced the delay and packet delivery loss caused by limiting buffer size and computational power of node. Also the proposed algorithm provides the node connectivity considering the mobility and direction select the highest connectivity node from neighbor node using masking operation. From the simulation results, the proposed algorithm compared the packet delivery ratio with PROPHET and Epidemic. The proposed Enhanced Prediction-based Context-awareness Matrix(EPCM) algorithm shows an advantage packet delivery ratio even with selecting relay node according to mobility and direction.

• English Language & Literature Teaching
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• v.9 no.spc
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• pp.167-184
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• 2003

This paper is to analyze how Walt Whitman developed the theme and structure of Leaves of Grass with his ideal of democratic vistas. Whitman established his identity as an inspired poet, having faith in the divinity of man based on transcendental belief. After being awakened to the transcendental truth, he practiced his own common world view--his democratic vistas. Whitman searched for the unity with nature and identified his self with "common man and his nation." The poetry expresses "cosmological and national ideology" dedicated to the creation of an ideal nation united in eternal freedom and peace. By portraying common cosmic and national theme in terms of his individual personality, he brought various paradoxical and controversial ideas into one thing, namely "democracy", fusing diversity into unity. As in the symbol of the grass, there is a unity in variety reflected by democracy in a cosmological and political compound. With the form of free verse, he could express his liberal unrestrained and mystical thoughts of democracy. This new form has been associated with the poet's strong consciousness of the need for modernization in his country. He willingly assumed "the role of prophet and public voice for American democrat" with the rolling catalogues and I-persona which formed a sense of the common man and common things of America. Whitman pioneered a democrat literature with simple and dynamic tone and style. He successively pursued the democratic vistas in his Leaves of Grass.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.14 no.4
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• pp.295-304
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• 2014

Communication infrastructure supports wide variety of mobile services such as photo and file sharing, location tracking, social network services and instant messaging. However, instances like power-loss and natural disasters disrupt these communication infrastructures unable to render support to these mobile services. Delay-tolerant networks (DTNs) offer a solution to these problems at hand. By utilizing mobility and opportunistic contacts among mobile devices, a plausible communication network can be establish and enable support to mobile applications. This paper presents an energy-efficient, reliable message delivery routing scheme with message prioritization rules for DTN. It uses the context information of nodes (mobile devices) such as the contact history (location and time of contact), speed/velocity, moving direction to determine the best forwarders among nodes in the network. The remaining energy of the nodes is also used to determine the message types a node can deliver successfully. The simulation results show that proposed approach outperforms Epidemic and Prophet routing schemes in terms of delivery ratio, overhead ratio, delivered messages per types and remaining energy.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2015.10a
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• pp.105-106
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• 2015

본 논문에서는 DTN(Delay Tolerant Network) 환경에서 효율적인 메시지 전달을 위해 확률적으로 중계 노드를 선택하는 기법을 제안한다. DTN은 종단 간 연결이 불확실한 네트워크에서의 통신을 Store-Carry-Forward 방식을 사용하여 메시지를 목적 노드에 전달한다. 또한 종단 간 연결이 불확실한 상황에서도 중계 노드를 통해 메시지를 목적 노드에 전달하여 높은 전송률을 보장한다. 하지만 에피데믹(Epidemic) 라우팅이나 Spray and Wait 라우팅과 같은 기존 다중 복사 라우팅 알고리즘은 접촉한 모든 노드에게 메시지를 복사하여 메시지 복사로 인한 오버헤드가 높아진다. 반면에 PROPHET 라우팅과 같은 단일 복사 알고리즘은 적은 오버헤드를 발생시키지만 중계 노드 수 감소로 인한 메시지 전송률 감소 현상이 나타난다. 본 논문에서 제안하는 알고리즘은 기존 DTN 라우팅의 문제점을 보완하기 위해 확률적으로 노드 분포를 분석하여 현재 네트워크에 효율적인 메시지 복사 방식을 선택하여 작동한다. 본 논문에서는 제안하는 알고리즘이 기존 DTN 라우팅 알고리즘과 오버헤드와 전송률을 비교하여 더 효율적임을 증명한다.

• Nuclear Engineering and Technology
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• v.54 no.5
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• pp.1579-1587
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• 2022

The effects of hydride amount (20-850 wppm), orientation (circumferential and radial), and temperature (room temperature, 100 ℃, 200 ℃) on the axial mechanical properties of Zircaloy-4 cladding were comprehensively examined. The fraction of radial hydride fraction in the cladding was quantified using PROPHET, an in-house radial hydride fraction analysis code. Uniaxial tensile tests (UTTs) were conducted at various temperatures to obtain the axial mechanical properties. Hydride orientation has a limited effect on the axial mechanical behavior of hydrided Zircaloy-4 cladding. Ultimate tensile stress (UTS) and associated uniform elongation demonstrated limited sensitivity to hydride content under UTT. Statistical uncertainty of UTS was found small, supporting the deterministic approach for the load-failure analysis of hydrided Zircaloy-4 cladding. These properties notably decrease with increasing temperature in the tested range. The dependence of yield strength on hydrogen content differed from temperature to temperature. The ductility-related parameters, such as total elongation, strain energy density (SED), and offset strain decrease with increasing hydride contents. The abrupt loss of ductility in UTT was found at ~700 wppm. Demonstrating a strong correlation between total elongation and offset strain, SED can be used as a comprehensive measure of ductility of hydrided zirconium alloy.

• International Journal of Computer Science & Network Security
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• v.22 no.11
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• pp.1-10
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• 2022

This study aims to build a model is capable of classifying the categories of hadith, according to the reliability of hadith' narrators (sahih, hassan, da'if, maudu) and according to what was attributed to the Prophet Muhammad (saying, doing, describing, reporting ) using the supervised learning algorithms, with a view to discover a relationship between these classifications, based on the outputs of this model, which might be useful to avoid the controversy and useless debate on automatic classifications of hadith, using some of the statistical methods such as chi-square, information gain and association rules. The experimental results showed that there is a relation between these classifications, most of Sahih hadiths are belong to saying class, and most of maudu hadiths are belong to reporting class. Also the best classifier had given high accuracy was MultinomialNB, it achieved higher accuracy reached up to 0.9708 %, for his ability to process high dimensional problems and identifying the most important features that are relevant to target data in training stage. Followed by LinearSVC classifier, reached up to 0.9655, and finally, KNeighborsClassifier reached up to 0.9644.