• Title/Summary/Keyword: frequency problem

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The Effects of Writing Using Media on the Promotion of Creative Convergence Capacity (미디어를 활용한 글쓰기가 창의융합 역량 증진에 미치는 효과)

  • Bang, Sul-Yeong;Je, Nam-Joo
    • Journal of Digital Convergence
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    • v.18 no.12
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    • pp.353-362
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    • 2020
  • This was a single group pretest-protest pre-experimental study designed to find out whether writing using media enhances creative convergence capacity. Data were collected from 30 C university students in C city, from March 1st to July 15th, 2020. Analysis was done using IBM SPSS 25.0 for frequency, percentage, average, standard deviation, and paired t-test. Creative problem solving ability was enhanced by an average of 0,63 points (p<.001), critical thinking tendency by 1.06 points (p<.001), self-leadership by 0,53 points (p<.001), and self-control by an average of 0.51 points, so was statistically significant (p=.001). Writing using media had the effect of improving creativity and integration capabilities. The results of this study are expected to be used as basic data for the development of educational programs for creativity and integration enhancement at university-level. Also, follow-up studies on the effectiveness of writing education by utilizing web media as text and tools simultaneously and customized university-level writing education utilizing media are required.

Real-time Laying Hens Sound Analysis System using MFCC Feature Vectors

  • Jeon, Heung Seok;Na, Deayoung
    • Journal of the Korea Society of Computer and Information
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    • v.26 no.3
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    • pp.127-135
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    • 2021
  • Raising large numbers of animals in very narrow environments such as laying hens house can be very damaged from small environmental change. Previously researched about laying hens sound analysis system has a problem for applying to the laying hens house because considering only the limited situation of laying hens house. In this paper, to solve the problem, we propose a new laying hens sound analysis model using MFCC feature vector. This model can detect 7 situations that occur in actual laying hens house through 9 kinds of laying hens sound analysis. As a result of the performance evaluation of the proposed laying hens sound analysis model, the average AUC was 0.93, which is about 43% higher than that of the frequency feature analysis method.

Investigation on the Variation of Ocean Waves passing through Shallow Waters (낮은 수심을 통과하는 해양파의 변화에 대한 연구)

  • Seok, Woochan;Won, Younsang
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.28 no.1
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    • pp.161-167
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    • 2022
  • Ocean waves passing through the underwater bar at a shallow depth experience a shoaling effect caused by decreasing water depth, a nonlinear interaction therein owing to steepening wave slope, and a wave dispersion effect as the water depth increases again. Because this problem includes many complicated phenomena, it is used as a good example of validating a theoretical development or a CFD method for ocean wave applications. Validation is performed mainly for regular waves by comparing the wave elevation patterns in the time domain with the experimental results. In this study, the spectral evolution of wave spectrum is investigated in the frequency domain when a CFD method such as OpenFOAM is applied for this problem. In particular, the effects of initial phase conditions as well as the nonlinear interaction among harmonic waves are studied.

Identification and Analysis of Author's Institution in Korean Journal Papers for the Decision Support in Disaster Situations

  • Kim, Byungkyu;You, Beom-Jong;Shim, Hyoung-Seop
    • Journal of the Korea Society of Computer and Information
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    • v.26 no.12
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    • pp.85-97
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    • 2021
  • In this paper, in order to support rapid and effective decision-making and response in disaster situations, we identified the author's organization of academic research papers and conducted a collaborative relationship analysis study based on this. For this purpose, 2,308 papers in 69 Korean academic journals classified by disaster and safety type were selected for analysis and experimental data were constructed based on the Korea Science Citation Database (KSCD) and institutional identification data provided by KISTI. Collaborative relationship analysis was conducted for each of the four units (Institution, Institution type, Institution region and University department type). First, statistical status such as frequency of appearance was compared, and basic properties and main centrality index of each co-occurrence network were calculated and analyzed using Social Network Analysis Method. In addition, a visualization map was created and presented for each network so that the collaborative relationship could be viewed and understood as a whole. The results of this study are expected to contribute to the search activities of institutions and cooperative groups that support effective disaster response and to lay the foundation for the information service system.

Investigation of 0.5 MJ superconducting energy storage system by acoustic emission method.

  • Miklyaev, S.M.;Shevchenko, S.A.;Surin, M.I.
    • Proceedings of the KIPE Conference
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    • 1998.10a
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    • pp.961-965
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    • 1998
  • The rapid development of small-scale (1-10 MJ) Superconducting Magnetic Energy Storage Systems (SMES) can be explained by real perspective of practical implementation of these devices in electro power nets. However the serious problem of all high mechanically stressed superconducting coils-problem of training and degradation (decreasing) of operating current still exists. Moreover for SMES systems this problems is more dangerous because of pulsed origin of mechanical stresses-one of the major sources of local heat disturbances in superconducting coils. We investigated acoustic emission (AE) phenomenon on model and 0.5 MJ SMES coils taking into account close correlation of AE and local heat disturbances. Two-coils 0.5 MJ SMES system was developed, manufactured and tested at Russian Research Center in the frames of cooperation with Korean Electrical Engineering Company (KEPCO) [1]. The two-coil SMES operates with the stored energy transmitted between coils in the course of a single cycle with 2 seconds energy transfer time. Maximum operating current 1.55 kA corresponds to 0.5 MF in each coil. The Nb-Ti-based conductor was designed and used for SMES manufacturing. It represents transposed cable made of Nb-Ti strands in copper matrix, several cooper strands and several stainless steel strands. The coils are wound onto fiberglass cylindrical bobbins. To make AE event information more useful a real time instrumentation system was used. Two main measured and computer processed AE parameters were considered: the energy of AE events (E) and the accumulated energy of AE events (E ). Influence of current value in 0.5 MJ coils on E and E was studied. The sensors were installed onto the bobbin and the external surface of magnets. Three levels of initial current were examined: 600A, 1000A, 2450 A. An extraordinary strong dependence of the current level on E and E was observed. The specific features of AE from model coils, operated in sinusoidal vibration current changing mode were investigated. Three current frequency modes were examined: 0.012 Hz, 0.03 Hz and 0.12 Hz. In all modes maximum amplitude 1200 A was realized.

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An Efficient Data Collection Method for Deep Learning-based Wireless Signal Identification in Unlicensed Spectrum (딥 러닝 기반의 이기종 무선 신호 구분을 위한 데이터 수집 효율화 기법)

  • Choi, Jaehyuk
    • Journal of IKEEE
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    • v.26 no.1
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    • pp.62-66
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    • 2022
  • Recently, there have been many research efforts based on data-based deep learning technologies to deal with the interference problem between heterogeneous wireless communication devices in unlicensed frequency bands. However, existing approaches are commonly based on the use of complex neural network models, which require high computational power, limiting their efficiency in resource-constrained network interfaces and Internet of Things (IoT) devices. In this study, we address the problem of classifying heterogeneous wireless technologies including Wi-Fi and ZigBee in unlicensed spectrum bands. We focus on a data-driven approach that employs a supervised-learning method that uses received signal strength indicator (RSSI) data to train Deep Convolutional Neural Networks (CNNs). We propose a simple measurement methodology for collecting RSSI training data which preserves temporal and spectral properties of the target signal. Real experimental results using an open-source 2.4 GHz wireless development platform Ubertooth show that the proposed sampling method maintains the same accuracy with only a 10% level of sampling data for the same neural network architecture.

Antenna Selection Algorithm for Energy Consumption Minimization in Massive Antenna System (다중안테나 시스템에서 전력 최소화를 위한 안테나 선택 알고리즘)

  • Shin, Kyung-Seop
    • Journal of Convergence for Information Technology
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    • v.12 no.3
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    • pp.280-285
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    • 2022
  • In order to ensure maximum capacity at a given frequency resource, the number of antennas must be increased. The increase in antennas means that such guaranteed channel resources can be used as an increase in channel capacity by aquiring another channel resource. In order to aggregate antennas in such a situation where there are a plurality of antennas, a problem of miniaturizing and integrating antennas must be accompanied. In this situation, in order to efficiently allocate channel resources and antenna resources in limited device resources, the problem of antenna selection and user scheduling was considered and solved together. By numerical simulation results, the proposed algorithm was proven to effectively reduce 34 % power consumption in averagewith increase in antennas.

Efficient Quantum Dot Light-emitting Diodes with Zn0.85Mg0.15O Thin Film Deposited by RF Sputtering Method (RF Sputtering 방법으로 증착된 Zn0.85Mg0.15O 박막을 적용한 고효율 양자점 전계 발광 소자 연구)

  • Kim, Bomi;Kim, Jiwan
    • Journal of the Microelectronics and Packaging Society
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    • v.29 no.4
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    • pp.49-53
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    • 2022
  • In this study, quantum dot light-emitting diodes (QLEDs) of the optimized EL performance with a radio frequency (RF) sputtered Zn0.85Mg0.15O thin film as an electron transport layer (ETL). In typical QLEDs, ZnO nanoparticles (NPs) are widely used materials for ETL layer due to their advantages of high electron mobility, suitable energy level and easy capable of solution processing. However, the instability problem of solution-type ZnO NPs has not yet been resolved. To solve this problem, ZnMgO thin film doped with 15% Mg of ZnO was fabricated by RF sputtering and optimized for the device applied as an ETL. The QLEDs of optimized ZnMgO thin film exhibited a maximum luminance of 15,972 cd/m2 and a current efficiency of 7.9 cd/A. Efficient QLEDs using sputtering ZnMgO thin film show the promising results for the future display technology.

Study on the Fly-back Topology of New Power Feed-back Method for Active Cell Balancing (엑티브 셀 밸런싱을 위한 새로운 전력 피드백 방식의 플라이백 토폴로지에 관한 연구)

  • Seong-Yong Kang;Myeong-Jin Song;Seong-Mi Park;Sung-Jun Park;Jae-Ha Ko
    • Journal of the Korean Society of Industry Convergence
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    • v.26 no.6_2
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    • pp.1083-1095
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    • 2023
  • Recently, the demand for low-voltage, high-capacity ESS is rapidly increasing due to the revitalization of the e-mobility industry, which is mainly powered by electricity. In addition, the demand for portable power banks is rapidly increasing due to the revitalization of leisure industries such as camping and fishing. The ESS with this structure consists of a small number of series cells and many parallel cells, resulting in a system with a large rated current. Therefore, the number of power devices for cell balancing configured in series is small, but a balancing device with a large current capacity is required. Construction of a constant temperature device in such a low-voltage, high-current ESS is difficult due to economic issues. The demand for an active balancing system that can solve the passive balancing heating problem is rapidly increasing. In this paper, propose a power feedback fly-back topology that can solve the balancing heating problem. The characteristic of the proposed topology is that a series-connected voltage sharing voltage is used as the input of the flyback converter, and the converter output is connected to one transformer. In this structure, the converter output for cell voltage balancing shares magnetic flux through one high-frequency transformer, so the cell voltage connected to the converter automatically converges to the same voltage.

Vibrational energy flow in steel box girders: Dominant modes and components, and effective vibration reduction measures

  • Derui Kong;Xun Zhang;Cong Li;Keer Cui
    • Steel and Composite Structures
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    • v.50 no.3
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    • pp.347-362
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    • 2024
  • Controlling vibrations and noise in steel box girders is important for reducing noise pollution and avoiding discomfort to residents of dwellings along bridges. The fundamental approach to solving this problem involves first identifying the main path of transmission of the vibration energy and then cutting it off by using targeted measures. However, this requires an investigation of the characteristics of flow of vibration energy in the steel box girder, whereas most studies in the area have focused on analyzing its single-point frequency response and overall vibrations. To solve this problem, this study examines the transmission of vibrations through the segments of a steel box girder when it is subjected to harmonic loads through structural intensity analysis based on standard finite element software and a post-processing code created by the authors. We identified several frequencies that dominated the vibrations of the steel box girder as well as the factors that influenced their emergence. We also assessed the contributions of a variety of vibrational waves to power flow, and the results showed that bending waves were dominant in the top plate and in-plane waves in the vertical plate of the girder. Finally, we analyzed the effects of commonly used stiffened structures and steel-concrete composite structures on the flow of vibration energy in the girder, and verified their positive impacts on energy regionalization. In addition to providing an efficient tool for the relevant analyses, the work here informs research on optimizing steel box girders to reduce vibrations and noise in them.