• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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• 2004.11a
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• pp.582-585
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• 2004

Most of hard disk drives currently employ fluid dynamic bearing (FDB) for their rotor support. Stiffness of the FDB is affected by many design factors such as bearing clearance, fluid viscosity, and rotational speed. For the high rotating speed HDDs stiffness of the rotor is normally high enough to accomodate load disturbances. However small form factor HDDs that are to be operated in low power consumption are often designed with low stiffness rotors. Although the low stiffness rotor clearly benefits low power operation, it could damage the entire motor structure or head disk interface even by a light mechanical load disturbance such as shock or vibration. In addition, since a single channel HDD does not provide gram load equilibrium in axial direction the rotor could be tilted and make a hard contact to stator. A non-symmetric groove pattern could successfully compensate the tilted rotor angle during operation.

• Proceedings of the Korean Society of Computer Information Conference
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• 2019.07a
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• pp.99-100
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• 2019

무선 센서 네트워크(Wireless Sensor Network, WSN)에서의 싱크 이동은 전력 문제와 관련하여 해결해야할 중요한 문제이다. 또한 고정된 싱크를 사용하면 노드의 과도한 에너지 소비로 인해 네트워크 성능이 저하될 수 있는 문제점이 있다. 본 논문에서는 센서 노드의 클러스터가 퍼지 로직(Fuzzy Logic)을 기반으로 형성되고 싱크 재배치가 동적 2단계 메커니즘을 사용하여 결정되는 에너지 효율적인 싱크 재배치 기법을 제안한다. 본 논문에서 제안하는 기법은 싱크 재배치에 필요한 통신 오버 헤드를 최소화하고 데이터 패킷의 손실이나 지연을 최소화하여 싱크 재배치를 허용한다. 시뮬레이션 결과 제안 기법이 기존의 WSN의 대표적인 싱크 재배치 기법보다 네트워크 수명과 처리량 측면에서 우수하다는 것을 확인할 수 있었다.

• Nuclear Engineering and Technology
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• v.51 no.7
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• pp.1842-1852
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• 2019

The AP1000 reactor coolant pump is a vertical shielded-mixed flow pump, is the most important coolant power supply and energy exchange equipment in nuclear reactor primary circuit system, whose steadystate and transient performance affect the safety of the whole nuclear island. Moreover, safety demonstration of reactor coolant pump is the most important step to judge whether it can be practiced, among which software simulation is the first step of theoretical verification. This paper mainly introduces the fluid-solid coupling simulation method applied to reactor coolant pump, studying the feasibility of simulation results based on workbench fluid-solid coupling technology. The study found that: for the unsteady calculations of the pure liquid media, the average head of the reactor coolant pump with bidirectional fluid-solid coupling decreases to a certain extent. And the coupling result is closer to the real experimental value. The large stress and deformation of rotor under different flow conditions are mainly distributed on impeller and idler, and the stress concentration mainly occurs at the junction of front cover plate and blade outlet. Among the factors that affect the dynamic stress change of rotor, the pressure load takes a dominant position.

• Transactions of the Korean Society of Pressure Vessels and Piping
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• v.14 no.2
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• pp.69-76
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• 2018

The paper presents preliminary investigation results for the effect of the baseline correction in the acceleration excitation method on finite element seismic analysis results (such as accumulated equivalent plastic strain, equivalent plastic strain considering cyclic plasticity, von Mises effective stress, etc) of nuclear safety Class I components. For investigation, finite element elastic-plastic time-history seismic analysis is performed for a surge line including a pressurizer lower head, a pressurizer surge nozzle, a surge piping, and a hot leg surge nozzle using the Chaboche hardening model. Analysis is performed for various seismic loading methods such as acceleration excitation methods with and without the baseline correction, and a displacement excitation method. Comparing finite element analysis results, the effect of the baseline correction is investigated. As a result of the investigation, it is identified that finite element analysis results using the three methods do not show significant difference.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.15 no.4
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• pp.1275-1292
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• 2021

As a fine-grained classification problem, aspect-level sentiment classification predicts the sentiment polarity for different aspects in context. To address this issue, researchers have widely used attention mechanisms to abstract the relationship between context and aspects. Still, it is difficult to effectively obtain a more profound semantic representation, and the strong correlation between local context features and the aspect-based sentiment is rarely considered. In this paper, a hybrid attention capsule network for aspect-level sentiment classification (ABASCap) was proposed. In this model, the multi-head self-attention was improved, and a context mask mechanism based on adjustable context window was proposed, so as to effectively obtain the internal association between aspects and context. Moreover, the dynamic routing algorithm and activation function in capsule network were optimized to meet the task requirements. Finally, sufficient experiments were conducted on three benchmark datasets in different domains. Compared with other baseline models, ABASCap achieved better classification results, and outperformed the state-of-the-art methods in this task after incorporating pre-training BERT.

• Proceedings of the SCSK Conference
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• 1993.04a
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• pp.1-1
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• 1993

The cosmetic industry is dynamic, ever changing. New product are constantly evolved, old and obsolete products are replaced as the industry adopts to an ever changing market. Cosmetics are products 1the society. They often reflect the changing needs, values, and the lifestyles of the people and serve as an indicator of the political climate and economic state of a nation. Thus, it is likely the recent change in 11head of the U.S. government will strongly impact the cosmetic industry. The United States is the world`s largest market for cosmetics and toiletries, Many U.S. cosmetic and toiletry manufacturers, such as P & G, Colgate, Avon, Revlon and Estee Lauder, market their Products worldwide. Consequently, what happens in the U.S. often, sooner or later, affect markets and industries in other parts of the world. Frequently, changes that occur first in the U.S. with subsequently take place in other nations within a few years. The success and failure of the new economic policies of the Clinton Administration and the expected tightening of government regulations on environmental protection, and consumer protection will undoubtedly affect the industry. Possible changes in foreign policy will not only affect U.S. companies but also cosmetic manufacturers in other nations. This lecture will focus on possible changes in the cosmetic industry in America and how they will impact on Korea and foreign companies doing business in United States. It will also review important changes in federal and state regulations. New marketing trends, new raw materials and successful new products will be discussed.

• SUVANNABHUMI
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• v.10 no.1
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• pp.35-61
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• 2018

This paper explores the influence of Arab culture on the culture of Bugis-Makassar, the two major ethnic groups in South Sulawesi, Indonesia, particularly after their Islamization in the early 17^th century. The paper argues that since then, the on-going process of Islamization in the region has also brought a continuous flow of ideas and cultural practices from Mecca to Indonesia by means of the hajj pilgrims, Arab traders, and the establishment of Islamic educational institutions that emphasized the teaching and use of Arabic language in education. These factors, among others, have facilitated a cultural inflow which enabled cultural practices borne of West Asia (Middle East) to be integrated into local customs and beliefs. The paper particularly depicts the most observable forms of Arabic cultural integration, acculturation, and assimilation into the Bugis-Makassar culture such as the use of Arabic in Islamic schools and religious sermons; the Arab-style dressing by religious scholars, teachers, and students; the wearing of the hijab (head cover) by women; and the change of people's names from local into Arabic. By utilizing the historical and anthropological approach, this paper investigates this dynamic process of adaptation and integration of a foreign culture that first came through the Islamization of a local culture, exploring the role of an Islamic missionary and educational institutions in mediating and maintaining such cultural integration processes.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2021.11a
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• pp.144-145
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• 2021

This study analyzed the cases of cracks in piles due to the use of followers under construction conditions where water exists inside the piles, and confirmed whether the piles were cracked through a field test simulating the construction conditions in which water pressure inside the piles was generated by a hammer. According to the construction case, under the construction condition where the pile length is 20% to 30% shorter than the drilled length, about 80% cracks occur, so there is a high possibility of cracking due to water inside the pile. A field test was conducted to confirm the type of pile failure due to hammer under the construction condition in which water exists inside the pile. The pile head was not destroyed by the compressive load, and one or more longitudinal cracks occurred along the PC steel wire. The closed end pile generates water pressure by hammer. the follower and cushion(compression plywood) must be drilled at least 0.4D. It is expected that improved quality control will be possible as the water pressure inside the pile is reduced.

• The Journal of Korea Robotics Society
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• v.18 no.4
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• pp.436-443
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• 2023

With the advancement of robot intelligence, the concept of man and unmanned teaming (MUM-T) has garnered considerable attention in military research. In this paper, we present a transformer-based architecture for predicting the health status of agents, with the help of multi-head attention mechanism to effectively capture the dynamic interaction between friendly and enemy forces. To this end, we first introduce a framework for generating a dataset of battlefield situations. These situations are simulated on a virtual simulator, allowing for a wide range of scenarios without any restrictions on the number of agents, their missions, or their actions. Then, we define the crucial elements for identifying the battlefield, with a specific emphasis on agents' status. The battlefield data is fed into the transformer architecture, with classification headers on top of the transformer encoding layers to categorize health status of agent. We conduct ablation tests to assess the significance of various factors in determining agents' health status in battlefield scenarios. We conduct 3-Fold corss validation and the experimental results demonstrate that our model achieves a prediction accuracy of over 98%. In addition, the performance of our model are compared with that of other models such as convolutional neural network (CNN) and multi layer perceptron (MLP), and the results establish the superiority of our model.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.18 no.6
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• pp.1462-1477
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• 2024

With the evolving complexity of connected vehicle features, the volume and diversity of data generated during driving continue to escalate. Enabling data sharing among interconnected vehicles holds promise for improving users' driving experiences and alleviating traffic congestion. Yet, the unintentional disclosure of users' private information through data sharing poses a risk, potentially compromising the interests of vehicle users and, in certain cases, endangering driving safety. Federated learning (FL) is a newly emerged distributed machine learning paradigm, which is expected to play a prominent role for privacy-preserving learning in autonomous vehicles. While FL holds significant potential to enhance the architecture of the Internet of Vehicles (IoV), the dynamic mobility of vehicles poses a considerable challenge to integrating FL with vehicular networks. In this paper, a novel clustered FL framework is proposed which is efficient for reducing communication and protecting data privacy. By assessing the similarity among feature vectors, vehicles are categorized into distinct clusters. An optimal vehicle is elected as the cluster head, which enhances the efficiency of personalized data processing and model training while reducing communication overhead. Simultaneously, the Local Differential Privacy (LDP) mechanism is incorporated during local training to safeguard vehicle privacy. The simulation results obtained from the 20newsgroups dataset and the MNIST dataset validate the effectiveness of the proposed scheme, indicating that the proposed scheme can ensure data privacy effectively while reducing communication overhead.