• Title/Summary/Keyword: 핫 셀

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A Suitable Cell Search Algorithm Using Separated I/Q Channel Cell Specific Scrambling Codes for Systems with Coexisting Cellular and Hot-Spot Cells in Broadband OFCDM Systems (광대역 OFCDM 시스템에서 셀룰러와 핫-스팟 셀들이 공존할 때 분리 I/Q채널 CSSC를 이용한 셀 탐색 알고리즘)

  • Kim Dae-Yong;Kwon Hyeog-Soong
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.9 no.8
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    • pp.1649-1655
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    • 2005
  • For systems with coexisting cellular and hot-spot cells in broadband orhogonal frequency and code division multiplexing (OFCDM) systems, a suitable cell search algorithm is proposed fur the common pilot channel (CPICH) in the forward link using separated I/Q channel cell specific codes(CSSC), in which the cellular cell specific scrambling code (CCSSC) is assigned to the in-phase (Q) pilot channel of all cellular cells, and the exclusive hot-spot cell specific scrambling code (HSCSSC) group is assigned to the quadrature (Q) pilot channel of all hot-spot cells. Therefore, the proposed algorithm enables a mobile station (MS) to search quickly for the most desirable hot-spot cell due to reducing the effect of CCSSC, when a MS wants to use a mobile internet. The computer simulation results show that the proposed cell search algorithm can achieve faster cell search time performance, compared to conventional cell search methods.

An Efficient Resource Optimization Method for Provisioning on Flash Memory-Based Storage (플래시 메모리 기반 저장장치에서 프로비저닝을 위한 효율적인 자원 최적화 기법)

  • Hyun-Seob Lee
    • Journal of Internet of Things and Convergence
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    • v.9 no.4
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    • pp.9-14
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    • 2023
  • Recently, resource optimization research has been actively conducted in enterprises and data centers to manage the rapid growth of big data. In particular, thin provisioning, which allocates a large number of resources compared to fixedly allocated storage resources, has the effect of reducing initial costs, but as the number of resources actually used increases, the cost effectiveness decreases and the management cost for allocating resources increases. In this paper, we propose a technique that divides the physical blocks of flash memory into single-bit cells and multi-bit cells, formats them with a hybrid technique, and manages them by dividing frequently used hot data and infrequently used cold data. The proposed technique has the advantage that the physical and allocated resources are the same, such as thick provisioning, and can be used without additional cost increase, and the underutilized resources can be managed in multi-bit cell blocks, such as thin provisioning, which can allocate more resources than typical storage devices. Finally, we estimated the resource optimization effectiveness of the proposed technique through experiments based on simulations.

Development of an Integrated Electrode-bipolar Plate Assembly with Reduced Contact Resistance for Vanadium Redox Flow Battery (바나듐 레독스 흐름전지용 접촉저항 감소 일체형 전극-분리판 조립체 개발)

  • Amanpreet Kaur;Jun Woo Lim
    • Composites Research
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    • v.37 no.3
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    • pp.190-196
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    • 2024
  • The bipolar plate is a crucial element of the vanadium redox flow battery (VRFB) as it serves as both the electrical conduit and the structural support for the cell within the VRFB stack. Although, the graphite material is primarily used for the bipolar plate due to its excellent electrical conductivity, a significant limitation of performance of the VRFB is present due to high interfacial contact resistance (ICR) arises between the electrode and bipolar plate in the cell stack. This study aims to develop an integrated electrode-bipolar plate assembly that will address the limitations of the ICR. The integrated assembly was constructed using a single carbon felt with thermoplastic and thermoset polymers utilizing hot press method. Experimental results verify that the bipolar plate assembly exhibits reduced area specific resistance (ASR) due to the continuous electrical path. Additionally, from the charge/discharge cell test results, the integrated assembly shows improved cell performance. Therefore, the developed integrated electrode-bipolar plate assembly can serve as a substitute for the conventional bipolar plate and electrode assembly.

The Strength and Fracture Behavior characteristics of Irradiated Zr-2.5Nb CANDU Pressure Tube Materials (Zr-2.5Nb 중수로 압력관의 조사후 강도 및 파괴거동 특성)

  • An, Sang-Bok;Kim, Yeong-Seok;Kim, Jeong-Gyu
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.25 no.3
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    • pp.510-519
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    • 2001
  • The tensile and fracture toughness tests have been conducted to investigate the degradations of mechanical properties induced mainly by neutron irradiations in Zr-2.5Nb CANDU pressure tube materials operated in Wolsung Unit-1. the tests were performed at room, 150, 200, 250, 300 $\^{C}$ for the irradiated and unirradiated specimens in hot cell. The specimens were directly machined from the tube retaining original curvature using specially designed electric discharge machine(EDM). From the tensile tests of the irradiated specimens, it was found that tensile strength was increased and total elongation was decreased compared to those of the unirradiated ones. The active voltages in the fracture toughness tests for the irradiated showed the discontinuous abrupt increases caused by crack jumping in lower temperature. In the crack resistance curves we found the stable crack growth in the unirradiated, whereas the unstable and three crack growth stages in the irradiated specimens due to the accumulated irradiation defects. The various fracture characteristic values in the irradiated are remarkably lower than those of the unirradiated. Through the fractography, we found in the irradiated that smaller dimple and shorter fissures than the unirradiated, and that the fractured surface had three regions that were flat, transition and slant/shear area. These can explain the difference in the crack growth characteristic values of the irradiated and the unirradiated ones.

Comparison of Influencing Factors on Purchase of Celebrity Fashion Hot Items in Teens and Twenties (10대와 20대의 셀러브리티 패션 핫 아이템 구매영향요인 비교)

  • Ji, Hye Kyung
    • Fashion & Textile Research Journal
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    • v.21 no.2
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    • pp.151-162
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    • 2019
  • This study identifies influential factors in regards to the purchase of celebrity fashion hot items and compares these factors in the age groups of teens and twenties. This study surveyed male and female consumers aged 10-20 years old for empirical analysis in July 2018. The study surveyed 322 consumers selected through online convenience sampling. Data were analyzed using SPSS for Windows 19.0, descriptive statistics, reliability analysis, ${\chi}^2$ analysis, regression analysis, ANOVA analysis, Duncan test, and t-test. The results were as follows. First, 87.6% of consumer have purchased celebrity fashion hot items more than once. In particular, female consumers in their 20s with a high fashion product expenditure tend to purchase more celebrity fashion hot items. Clothes and shoes were purchased more by 10-year-old males, shoes for males in their 20s, accessories for 10-year-old females female, and bags and accessories for female in their 20s. Second, there were no significant differences for those aged 10-20 years old in purchase satisfaction for celebrity fashion hot items according to age, gender, income, and fashion product expenditure. Consumers' awareness on corporate marketing intention to celebrity fashion hot items was higher among women in their 20s than men in their teens and twenties; in addition, the expenditure on fashion products also increased. Third, factors affecting the purchase of celebrity fashion hot items among teens and twenties were different according to age and gender. A higher need for identification for teenage male resulted in: lower media dependency, higher product involvement, fashion conformity, fashion innovativeness for 20s males, higher product involvement for 10s and 20s females, increased intention to purchase tended. This study provides consumer information and fashion item information that can be utilized in advertisement and promotion strategies for fashion companies that seek to perform celebrity marketing strategies that target consumers aged 10-20 years old.

Development of deep learning structure for complex microbial incubator applying deep learning prediction result information (딥러닝 예측 결과 정보를 적용하는 복합 미생물 배양기를 위한 딥러닝 구조 개발)

  • Hong-Jik Kim;Won-Bog Lee;Seung-Ho Lee
    • Journal of IKEEE
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    • v.27 no.1
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    • pp.116-121
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    • 2023
  • In this paper, we develop a deep learning structure for a complex microbial incubator that applies deep learning prediction result information. The proposed complex microbial incubator consists of pre-processing of complex microbial data, conversion of complex microbial data structure, design of deep learning network, learning of the designed deep learning network, and GUI development applied to the prototype. In the complex microbial data preprocessing, one-hot encoding is performed on the amount of molasses, nutrients, plant extract, salt, etc. required for microbial culture, and the maximum-minimum normalization method for the pH concentration measured as a result of the culture and the number of microbial cells to preprocess the data. In the complex microbial data structure conversion, the preprocessed data is converted into a graph structure by connecting the water temperature and the number of microbial cells, and then expressed as an adjacency matrix and attribute information to be used as input data for a deep learning network. In deep learning network design, complex microbial data is learned by designing a graph convolutional network specialized for graph structures. The designed deep learning network uses a cosine loss function to proceed with learning in the direction of minimizing the error that occurs during learning. GUI development applied to the prototype shows the target pH concentration (3.8 or less) and the number of cells (108 or more) of complex microorganisms in an order suitable for culturing according to the water temperature selected by the user. In order to evaluate the performance of the proposed microbial incubator, the results of experiments conducted by authorized testing institutes showed that the average pH was 3.7 and the number of cells of complex microorganisms was 1.7 × 108. Therefore, the effectiveness of the deep learning structure for the complex microbial incubator applying the deep learning prediction result information proposed in this paper was proven.

Evaluation of the Radiation Dosage Flowing out of the Hot Cell During Synthesis of 18FDG (18FDG 합성시 핫셀장비 외부로 유출 방사선의 선량 평가)

  • Jung, Hongmoon;Cho, June ho;Jung, Jaeeun;Won, Doyeon
    • Journal of the Korean Society of Radiology
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    • v.7 no.5
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    • pp.365-369
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    • 2013
  • Intravenous injection is administered with radioactive medical isotopes to detect disease on Positron Emission Tomography (PET). In this case, typically, $^{18}FDG$ (Fluorodeoxyglucose) is used as a radioactive medicine. Cassette equipment is needed to synthesize deoxyglucose with $^{18}F$, produced by medical cyclotron. Production of radioactive medicine creates a lot of radiation, thus Hot Cell is used to shield a secondary radiation. We measured the radiation dosage flowing out of the hot cell during synthesis of $^{18}FDG$ or distribution. The purpose of this study is to provide the information of radiation dosage regarding the occupational exposure that unintentionally occurs during the synthesis of $^{18}FDG$. In conclusion, we confirmed the radiation dosage out of the hot cell during the $^{18}FDG$ synthesis. Especially, we observed that the radiation flowed out through the lead window, attached as a view port. Thus, it is considered that the improvement of a lead window is necessary in order to decrease the occupational exposure during the $^{18}FDG$ synthesis.