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      • KCI등재

        Benefits from Spatial Separation and Fluctuating Masker on Sentence-in-Noise Recognition in Normal-Hearing and Hearing-Impaired Listeners

        Jaehoon Jung,Byoung-Duk Lim,Hyoji Shin,Jae Hee Lee 한국청각언어재활학회 2023 Audiology and Speech Research Vol.19 No.2

        Purpose: This study examined the spatial separation benefit (SSB) and fluctuating masker benefit (FMB) for sentence-in-noise recognition in normal-hearing (NH) and hearing-impaired (HI) listeners. Methods: Twenty NH listeners and 10 HI listeners who were regular hearing-aid wearers participated in this study. To measure the SSB and the FMB, the Korean Matrix sentence-in-noise scores were obtained using different types of noise (steady-state speech-shaped noise, three sinusoidally amplitude-modulated noises) when the noise was colocated with the target source or was spatially separated by 30° or 60°. Results: For the NH group, the spatial separation between the target and masker was beneficial, regardless of the type of noise. Among the four types of noise, NH listeners performed poorer with speech-shaped noise than with other modulated noises, yielding a substantial improvement in speech-in-noise resulting from the masker’s fluctuation. The amount of SSB or FMB depended on the signal-to-noise ratios for the NH listeners. For HI listeners, the spatial separation was also advantageous in general, and their SSB was slightly greater in unfavorable listening conditions. However, the HI listeners hardly took advantage of the regular temporal dips of the modulated noise, even with the use of their hearing aids. Conclusion: NH listeners benefited from the fluctuation of the masker as well as the spatial separation between sound sources. A positive spatial separation benefit for HI listeners was only observed in an adverse listening condition. Regardless of the modulation rate, HI listeners received little benefit from glimpses of the target speech in the dips of the fluctuating masker. This result can be considered when planning audiological evaluation and rehabilitation for HI listeners.

      • SCIESCOPUS

        Long short-term memory recurrent neural network for modeling temporal patterns in long-term power forecasting for solar PV facilities: Case study of South Korea

        Jung, Yoonhwa,Jung, Jaehoon,Kim, Byungil,Han, SangUk Elsevier 2020 JOURNAL OF CLEANER PRODUCTION Vol.250 No.-

        <P><B>Abstract</B></P> <P>The sites selected for solar PV facilities significantly affect the amount of electric power that can be generated over the long term. Therefore, predicting the power output of a specific PV plant is important when evaluating potential PV sites. However, whether prediction models built with data from existing PV plants can be applied to other plants for long-term power forecasting remains poorly understood. In this case, topographical and meteorological conditions, which differ among sites and change over time, make it challenging to accurately estimate the potential for energy generation at a new site. This study proposes a monthly PV power forecasting model to predict the amount of PV solar power that could be generated at a new site. The forecasting model is trained with time series datasets collected over 63 months from 164 PV sites with data such as the power plant capacity and electricity trading data, weather conditions, and estimated solar irradiation. Specifically, a recurrent neural network (RNN) model with long short-term memory was built to recognize the temporal patterns in the time series data and tested to evaluate the forecasting performance for PV facilities not used in the training process. The results show that the proposed model achieves the normalized root-mean-square-error of 7.416% and the mean absolute-percentage-error (MAPE) of 10.805% for the testing data (i.e., new plants). Furthermore, when the previous 10 months’ data were used, the temporal patterns were well captured for forecasting, with a MAPE of 11.535%. Thus, the proposed RNN approach successfully captures the temporal patterns in monthly data and can estimate the potential for power generation at any new site for which weather information and terrain data are available. Consequently, this work will allow planning officials to search for and evaluate suitable locations for PV plants in a wide area.</P> <P><B>Highlights</B></P> <P> <UL> <LI> An LSTM-RNN-based forecasting model is presented for investigation of PV sites. </LI> <LI> Time series data of spatial and meteorological conditions depict input variables. </LI> <LI> Monthly solar photovoltaic power generation at any specific site can be predicted. </LI> <LI> nRMSE of 7.416% is achieved for long-term power prediction of new candidate sites. </LI> </UL> </P>

      • Can an Electron-Shell Closing Model Explain the Structure and Stability of Ligand-Stabilized Metal Clusters?

        Jung, Jaehoon,Kim, Hyemi,Han, Young-Kyu American Chemical Society 2011 JOURNAL OF THE AMERICAN CHEMICAL SOCIETY - Vol.133 No.15

        <P>We investigated the structure and stability of several aluminum hydride complexes to understand the essence of “superatom chemistry” and to gain a right perspective on the ligand (L)-stabilized metal (M) clusters. We successfully interpret the structure and stability using molecular orbital analysis, which clearly shows the failure of an electron-shell closing model (or a superatom model) to explain it. The structure and stability of Al<SUB><I>m</I></SUB>H<SUB><I>n</I></SUB> are closely associated with the molecular orbital stabilization owing to the effective orbital overlap between Al<SUB><I>m</I></SUB> (M<SUB><I>m</I></SUB>) and <I>n</I>H (<I>n</I>L). The importance of retaining the electronic structural integrity of M<SUB><I>m</I></SUB> in M<SUB><I>m</I></SUB>L<SUB><I>n</I></SUB>?within an electron-shell closing model?has been underestimated or even disregarded, and this has created the current controversies in the scientific community.</P><P><B>Graphic Abstract</B> <IMG SRC='http://pubs.acs.org/appl/literatum/publisher/achs/journals/content/jacsat/2011/jacsat.2011.133.issue-15/ja201205k/production/images/medium/ja-2011-01205k_0007.gif'></P><P><A href='http://pubs.acs.org/doi/suppl/10.1021/ja201205k'>ACS Electronic Supporting Info</A></P>

      • SCIESCOPUSKCI등재

        Efficient Global Optimization of Periodic Plasmonic Nanoslit Array Based on Quality Factor Analysis

        Jaehoon Jung Optical Society of Korea 2023 Current Optics and Photonics Vol.7 No.3

        An efficient global optimization approach for a periodic plasmonic nanoslit array based on extraordinary optical transmission within an acceptable time range is proposed using 𝚀 factor analysis method. The particle swarm optimization is employed as a global optimization tool. The figure of merit is defined as a product of transmission peak value and 𝚀 factor. The design variables are the slit width, height, and period of the slit array, respectively. The optical properties such as transmission spectrum and bandwidth are calculated rigorously using the finite element method.

      • SCISCIESCOPUS

        Tunable fiber comb filter based on simple waveplate combination and polarization-diversified loop

        Jung, Jaehoon,Lee, Yong Wook Elsevier 2017 OPTICS AND LASER TECHNOLOGY Vol.91 No.-

        <P><B>Abstract</B></P> <P>By incorporating a simple waveplate combination (WPC) set composed of two waveplates, we propose a wavelength-tunable fiber comb filter based on a polarization-diversified loop (PDL). The simple WPC set includes three kinds of waveplate groups such as two quarter-wave plates (QWPs), a set of a QWP and a half-wave plate (HWP), and a set of an HWP and a QWP. The PDL is implemented by making a Sagnac birefringence loop comprised of a four-port polarization beam splitter (PBS), two waveplates, and polarization-maintaining fiber (PMF). In the PDL, one end of PMF is connected to one port of the PBS with its slow axis π/4 (45°) oriented with respect to the horizontal axis of the PBS, and the other end of PMF is concatenated with the waveplates. First, we investigated light polarization conditions required to continuously tune the absolute wavelength location of the proposed filter in terms of input and output states of polarization (SOPs) of a birefringence element, or PMF. Then, three analytic transmittances of the filter were derived for the three WPC sets with arbitrary orientation angles of waveplates through Jones matrix formulation. And eight specific orientation angle sets of two waveplates, which caused phase shifts increasing linearly from 0° to 315° by a step of 45° in a sinusoidal transmittance function, were found for each WPC set. In particular, it has been theoretically proved that an orientation angle set of two waveplates, which can induce an arbitrary phase shift in the sinusoidal transmittance function, always exists for each WPC set. This implies that the comb spectrum of the proposed filter can be continuously tuned within one channel bandwidth by the proper control of the waveplate orientation angles. Finally, the input SOPs of PMF and the wavelength-dependent evolution of its output SOP were examined on the Poincare sphere at the eight specific waveplate angle sets. The relationship between the wavelength tuning and the SOP evolution was also discussed.</P> <P><B>Highlights</B></P> <P> <UL> <LI> Continuous spectrum tuning was realized with only two waveplates in a comb filter. </LI> <LI> Structural and operational simplicity was achieved by reducing one waveplate. </LI> <LI> Three waveplate combination sets allowing continuous spectral tuning were suggested. </LI> <LI> Waveplates’ orientation angles required for continuous tuning were fully derived. </LI> <LI> This tuning feature can be applied to optical switching and signal processing. </LI> </UL> </P>

      • SCIESCOPUS
      • Design of fiber optic surface plasmon resonance sensors using evolution algorithm

        Jaehoon Jung,Minwook Kim 대한전자공학회 2007 ITC-CSCC :International Technical Conference on Ci Vol.2007 No.7

        We proposed a systematic method for fiber-optic surface plasmon resonance (SPR) sensor. We used rigorous coupled wave analysis (RCWA) for analysis of transmission spectrum, and the (1+1) evolution strategy (ES) was employed as an optimization tool. The simulation results show that the optimization method presented here is so useful in designing fiberoptic SPR sensor for strain and temperature measurement. This algorithm can be extended to another objective function with other weighting factors and optical parameters.

      • Multi-Asymmetric Ion-Diode Membranes with Superior Selectivity and Zero Concentration Polarization Effect

        Jung, Jaehoon,Kim, Jongyoung,Lee, Han Sup,Kang, Il-Suk,Choi, Kiwoon American Chemical Society 2019 ACS NANO Vol.13 No.9

        <P>Biological ion channels exhibiting selective and rectified ion transport properties feature nanoscale asymmetries in their physical structure, chemical composition, and charge distribution. Inspired by this, a multi-asymmetric ion-diode membrane (IDM) having a heterojunction between a positively charged anodic aluminum oxide membrane with conical macropores and a negatively charged Nafion membrane with very narrow mesopores was designed and practically fabricated in this study. Experiments and theoretical calculations demonstrated that the proposed membrane has the highest selectivity among IDMs and provides complete suppression of the concentration polarization (CP) effect limiting the current density in ion-exchange membrane electrodialysis. These findings present direct evidence that the physical and chemical design of the channel structure can provide both superior selectivity and a zero CP effect to IDMs and practical fabrication methods of IDMs for diverse, promising membrane applications.</P> [FIG OMISSION]</BR>

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