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      • KCI등재

        Sol-gel 법을 이용한 코어-쉘 실리카-형광체의 제조 및 특성평가

        신원호,김세윤,정형모,Shin, Weon Ho,Kim, Seyun,Jeong, Hyung Mo 한국분말야금학회 2018 한국분말재료학회지 (KPMI) Vol.25 No.1

        Cost-effective functional phosphor nanoparticles are prepared by introducing low-cost $SiO_2$ spheres to rare-earth phosphor ($YVO_4:Eu^{3+}$, $YVO_4:Er^{3+}$, and $YVO_4:Nd^{3+}$) shells using a sol-gel synthetic method. These functional nanoparticles are characterized by X-ray diffraction, X-ray photoelectron spectroscopy, transmission electron microscopy, and general photoluminescence spectra. The $SiO_2$ sphere occupying the interior of the conventional phosphor is advantageous in significantly reducing the cost of expensive rare-earth phosphor nanoparticles. The sol-gel process facilitates the core-shell structure formation; the rare-earth shell phosphor has strong interactions with chelating agents on the surfaces of $SiO_2$ nanoparticles and thus forms layers of several nanometers in thickness. The photoluminescence wavelength is simply tuned by replacing the active materials of $Eu^{3+}$, $Er^{3+}$, and $Nd^{3+}$. Moreover, the photoluminescent properties of the core-shell nanoparticles can be optimized by manipulating the specific contents of active materials in the phosphors. Our simple approach substitutes low-cost $SiO_2$ for expensive rare-earth-based phosphor materials to realize cost-effective phosphor nanoparticles for various applications.

      • KCI등재

        잡음에 강한 특징 벡터 및 스펙트럼 차감법을 이용한 음성 인식

        신원호,양태영,김원구,윤대희,서영주,Shin, Won-Ho,Yang, Tae-Young,Kim, Weon-Goo,Youn, Dae-Hee,Seo, Young-Joo 한국음향학회 1996 韓國音響學會誌 Vol.15 No.5

        본 논문에서는 잡음 및 주변 환경에 강인한 것으로 알려져 있는 특징 벡터들을 이용한 인식 성능을 비교하였다. 아울러 스펙트럼 차감법을 적용하여 높은 인식 성능을 얻도록 하였다. 본 논문에서는 환경 변화에 강인한 인식 성능을 얻기 위하여 SMC(Short time Modified Coherence) 분석, 루트(root) 켑스트럼 분석, LDA(Linear Discriminant Analysis), PLP(Perceptual Linear Prediction), RASTA(RelAtive SpecTrAl) 처리 등을 이용하여 인식 실험을 수행하였다. 실험을 위하여 반연속 HMM을 이용한 단독음 인식 시스템을 구현하였고 전시장 및 컴퓨터실의 잡음을 첨가하여 0, 10 및 20dB의 SNR에 대한 인식 실험을 수행하였다. 실험 결과, LPCC(Linear Prediction Cepstral Coefficient)를 이용한 경우에 비하여 SMC나 루트처리를 이용한 멜 켑스트럼(루트_멜 켑스트럼)을 이용한 경우 10dB의 SNR에서 각각 9.86%, 12.68% 향상된 가장 좋은 인식률을 얻었다. 또한 멜 켑스트럼과 루트_멜 켑스트럼을 스펙트럼 차감법과 결합하여 잡음을 제거한 경우 10dB에서 각각 16.7%, 8.4% 향상된 94.91%, 94.28%의 인식률을 얻을 수 있었다. This paper compares the recognition performances of feature vectors known to be robust to the environmental noise. And, the speech subtraction technique is combined with the noise robust feature to get more performance enhancement. The experiments using SMC(Short time Modified Coherence) analysis, root cepstral analysis, LDA(Linear Discriminant Analysis), PLP(Perceptual Linear Prediction), RASTA(RelAtive SpecTrAl) processing are carried out. An isolated word recognition system is composed using semi-continuous HMM. Noisy environment experiments usign two types of noises:exhibition hall, computer room are carried out at 0, 10, 20dB SNRs. The experimental result shows that SMC and root based mel cepstrum(root_mel cepstrum) show 9.86% and 12.68% recognition enhancement at 10dB in compare to the LPCC(Linear Prediction Cepstral Coefficient). And when combined with spectral subtraction, mel cepstrum and root_mel cepstrum show 16.7% and 8.4% enhanced recognition rate of 94.91% and 94.28% at 10dB.

      • Facile Fabrication of Bimetallic Catalysts via Selective N atoms of N-Doped Carbon Nanotubes and Their Superior Catalytic Activities for Hydrogen Generation

        신원호(Shin, Weon Ho),정형모(Jeong, Hyung Mo),최윤정(Choi, Yoon Jeong),강정구(Kang, Jeung Ku) 한국신재생에너지학회 2010 한국신재생에너지학회 학술대회논문집 Vol.2010 No.11

        One-dimensional nanostructures such as carbon nanotubes could be ideal templates for formation of metallic nanoparticles. Furthermore, bimetallic component nanoparticles have recently been interesting issues for having high catalytic activity. This work provides both a facile method to synthesize bimetallic catalysts via N atoms of carbon nanotubes and also a picture about how to design the optimal bimetallic catalyst for hydrogen generation from the hydrogen storage material. In principle, the ratio of one component to another component could be generically extended to fabricate the high-performance bimetallic catalysts on host nanostructures. Indeed, we demonstrate that the bimetallic catalyst composed of the optimum composition results in the excellent hydrogen generation property from an aqueous borane ammonia solution, thus being capable of satisfying the Depart of Energy in USA target required for many advanced applications even with the small amount of our bimetallic catalysts attached onto the N-doped carbon nanotubes. This high hydrogen generation rate is found to be attributed to the optimal distance between active Pt and cheap Ni atoms for effective hydrogen generation.

      • Transition Metal Nanoparticles-Carbon Nitride Nanotube Hybrids

        신원호(Shin, Weon-ho),정형모(Jung, Hyung-mo),강정구(Kang, Jeung-ku) 한국신재생에너지학회 2009 한국신재생에너지학회 학술대회논문집 Vol.2009 No.06

        We demonstrate that trasition metal catalyst nanoparticle (NP) attached to carbon nitride nanotubes (CNNTs) show selective catalytic activities on hydrogen generation from the water solution including chemical hydride negative ions. The natural bonding orbitals (NBO) obtained from the first-principle calculations shows that the catalysts attached on CNNTs are quite differently polarized when they play for hydrogen generation from chemical hydride ions and hydrogen of water. For Co and Ni nanoparticles attached on CNNTs, their charges are more positively polarized when they interact with BH₄^-Na^+ and H₂O while Pt atoms are less positively charged. In this matter, the increased positive charges on catlyst nanoparticles are proven to be more efficient in attracting hydride negative ions, thus improving hydrogen generate rates. Consequently, this result implies that these different charge polarization leads to selective catalytic activities of NPs-CNNTs. In the hydrogen generation experiments, Co-CNNTs shows the highest hydrogen generation rate when the similar amounts of catalyst nanoparticles (Co, Ni, and Pt) are dispersed on the sidewalls of CNNTs.

      • KCI등재

        천이 제한 HMM을 이용한 잡음 환경에서의 음성 인식

        김원구,신원호,윤대희,Kim, Weon-Goo,Shin, Won-Ho,Youn, Dae-Hee 한국음향학회 1996 韓國音響學會誌 Vol.15 No.2

        본 논문에서는 상태간의 천이가 특정한 시간 구간에서만 발생하도록 하는 천이 제한(transition constrained) HMM를 제안하고 잡음 환경에서의 성능을 평가하였다. 천이 제한 HMM는 상태 지속을 제한하고 음성 신호의 시간적 변화를 단순하고 효과적으로 표현할 수 있다. 제안된 천이 제한 HMM은 기존 HMM 보다 성능이 우수할 뿐만아니라 계산량도 매우 감소한다. 제안된 방법의 성능을 평가하기 위하여 반연속(semi-continuous) HMM을 이용하여 잡음이 SNR 20, 10, 0 dB로 첨가된 음성에 화자독립 단독음 인식실험을 수행하였다. 실험 결과에서 제안된 방법은 잡음에 강인한 특성을 나타내었다. 두 가지 종류의 잡음을 SNR 10dB로 첨가하여 사용한 경우, 천이제한 HMM의 인식률은 기존 HMM의 단어 인식률 81.08%와 75.36%에 비하여 각각 7.31%와 10.35% 향상되었다. In this paper, transition constrained Hidden Markov Model(HMM) in which the transition between states occur only within prescribed time slot is proposed and the performance is evaluated in the noisy environment. The transition constrained HMM can explicitly limit the state durations and accurately de scribe the temporal structure of speech signal simply and efficiently. The transition constrained HMM is not only superior to the conventional HMM but also require much less computation time. In order to evaluate the performance of the transition constrained HMM, speaker independent isolated word recognition experiments were conducted using semi-continuous HMM with the noisy speech for 20, 10, 0 dB SNR. Experiment results show that the proposed method is robust to the environmental noise. The 81.08% and 75.36% word recognition rates for conventional HMM was increased by 7.31% and 10.35%, respectively, by using transition constrained HMM when two kinds of noises are added with 10dB SNR.

      • KCI등재

        원자힘 현미경으로 측정된 리튬화 실리콘 나노선의 나노기계적 성질

        이현수,신원호,권상구,최장욱,박정영,Lee, Hyun-Soo,Shin, Weon-Ho,Kwon, Sang-Ku,Choi, Jang-Wook,Park, Jeong-Young 한국진공학회 2011 Applied Science and Convergence Technology Vol.20 No.6

        원자힘 현미경을 이용하여 실리콘 기판 위에 증착된 실리콘 나노선과 리튬화된 실리콘 나노선의 나노기계적 성질을 연구했다. 금 촉매를 사용하여 스테인리스 기판 위에서 증기-액체-고체 과정을 통해 실리콘 나노선을 합성하였다. 완전히 리튬화된 실리콘 나노선을 얻기 위해서 전기 화학적 방법을 사용했고, 이를 실리콘 기판 위에 증착하였다. 접촉모드 원자힘 현미경으로 측정된 표면 거칠기는 실리콘 나노선에서 $0.65{\pm}0.05$ nm에 비해 리튬화된 실리콘 나노선에서 $1.72{\pm}0.16$ nm으로 더 큰 값을 보여주었다. 탐침과 표면 사이의 접착력에서 리튬화의 영향을 조사하기 위해 힘 분광기법을 사용했다. 실리콘 나노선의 접착력이 실리콘 기판과 ~60 nN으로 흡사한 반면에, 리튬화된 실리콘 나노선은 ~15 nN으로 더 작은 값을 나타냈다. 또한, 탄성적으로 부드러운 무정형 구조 때문에 국부적 탄성 스프링 상수도 실리콘 나노선 66.30 N/m보다 완전히 리튬화된 실리콘 나노선이 16.98 N/m으로 상대적으로 작았다. 실리콘 나노선과 완전히 리튬화된 실리콘 나노선에서 탐침과 표면 사이에 마찰력의 수직항력 의존성과 스캔 속도 의존성을 조사하기 위하여 각 0.5~4.0 Hz와 0.01~200 nN으로 측정했다. 본 연구에서 실리콘과 리튬화된 실리콘의 기계적 성질에 관련된 접착력과 마찰력의 경향성이 보여졌고 이러한 방향의 연구는 충-방전 동안 리튬화된 나노수준의 영역의 화학적 맵핑에 응용성을 보여준다. The nanomechanical properties of fully lithiated and unlithiated silicon nanowire deposited on silicon substrate have been studied with atomic force microscopy. Silicon nanowires were synthesized using the vapor-liquid-solid process on stainless steel substrates using Au catalyst. Fully lithiated silicon nanowires were obtained by using the electrochemical method, followed by drop-casting on the silicon substrate. The roughness, derived from a line profile of the surface measured in contact mode atomic force microscopy, has a smaller value ($0.65{\pm}0.05$ nm) for lithiated silicon nanowire and a higher value ($1.72{\pm}0.16$ nm) for unlithiated silicon nanowire. Force spectroscopy was utilitzed to study the influence of lithiation on the tip-surface adhesion force. Lithiated silicon nanowire revealed a smaller value (~15 nN) than that of the Si nanowire substrate (~60 nN) by a factor of two, while the adhesion force of the silicon nanowire is similar to that of the silicon substrate. The elastic local spring constants obtained from the force-distance curve, also shows that the unlithiated silicon nanowire has a relatively smaller value (16.98 N/m) than lithiated silicon nanowire (66.30 N/m) due to the elastically soft amorphous structures. The frictional forces of lithiated and unlithiated silicon nanowire were obtained within the range of 0.5-4.0 Hz and 0.01-200 nN for velocity and load dependency, respectively. We explain the trend of adhesion and modulus in light of the materials properties of silicon and lithiated silicon. The results suggest a useful method for chemical identification of the lithiated region during the charging and discharging process.

      • KCI등재

        전화망에서의 음성인식을 위한 전처리 연구

        전원석,신원호,양태영,김원구,윤대희,Jun, Won-Suk,Shin, Won-Ho,Yang, Tae-Young,Kim, Weon-Goo,Youn, Dae-Hee 한국음향학회 1997 韓國音響學會誌 Vol.16 No.4

        본 논문에서는 다양한 전화선 채널에서 수집된 한국통신(KT)의 데이터베이스를 이용하여 인식 시스템의 성능을 향상시키기 위한 효율적인 특징벡터 및 전처리방법을 연구하였다. 먼저 잡음 및 주변 환경 변화에 강인한 갓으로 알려져 있는 특징벡터들을 이용한 인식 성능을 비교하고, 가중 켑스트랄 거리측정 방법을 이용하여 인식시스템의 성능 향상을 검증하였다. 실험 결과, KT의 인식 시스템에서 이용하는 LPC 켑스트럼의 경우에 비하여 PLP(Perceptual Linear Prediction)과 MFCC)Mel Frequency Cepstral Coefficient)등에 대하여 인식률이 향상되었다. 켑스트럼간의 거리측정에 있어서는 RPS(Root Power Sums)와 BPL(Band Pass Lifter)과 같은 가중 켑스트랄 거리측정 함수들이 인식성능 향상에 도움을 주었다. 스펙트럼 차감법(Spectral Subtraction)의 적용은 왜곡에 의한 효과가 커서 인식률이 저하되었지만, RASTA(RelAtive SpecTrAl) 처리방법, CMS(Cepstral Mean Subtraction), SBR(Signal Bias Removal)의 적용시에는 인식 성능 향상을 보였다. 특히, CMS 방법은 간편하면서도 높은 인식 성능 향상을 보였다. 마지막으로, CMS의 실시간 구현을 위한 방법들의 인식 성능을 비교하고, 인식 성능 저하를 막기 위한 개선책을 제시하였다. In this paper, we study the efficient feature vector extraction method and front-end processing to improve the performance of the speech recognition system using KT(Korea Telecommunication) database collected through various telephone channels. First of all, we compare the recognition performances of the feature vectors known to be robust to noise and environmental variation and verify the performance enhancement of the recognition system using weighted cepstral distance measure methods. The experiment result shows that the recognition rate is increasedby using both PLP(Perceptual Linear Prediction) and MFCC(Mel Frequency Cepstral Coefficient) in comparison with LPC cepstrum used in KT recognition system. In cepstral distance measure, the weighted cepstral distance measure functions such as RPS(Root Power Sums) and BPL(Band-Pass Lifter) help the recognition enhancement. The application of the spectral subtraction method decrease the recognition rate because of the effect of distortion. However, RASTA(RelAtive SpecTrAl) processing, CMS(Cepstral Mean Subtraction) and SBR(Signal Bias Removal) enhance the recognition performance. Especially, the CMS method is simple but shows high recognition enhancement. Finally, the performances of the modified methods for the real-time implementation of CMS are compared and the improved method is suggested to prevent the performance degradation.

      • KCI등재

        음성 인식 시스템의 화자 적응 성능 향상을 위한 코드북 설계

        양태영,신원호,김원구,윤대희,Yang, Tae-Young,Shin, Won-Ho,Kim, Weon-Goo,Youn, Dae-Hee 한국음향학회 1996 韓國音響學會誌 Vol.15 No.2

        본 논문에서는 반연속 HMM(semi-continuous Hidden Markov Model) 음성 인식 시스템에 적용되는 베이시안 화자 적응(Bayesian speaker adaptation)의 성능 향상을 위해 코드북 변환 알고리즘을 제안하였다. 기존 베이시안 화자 적응 알고리즘의 경우 새로운 화자의 특징 분포와 코드북 사전 밀도의 차이가 큰 경우 적응 데이터와 코드북간의 잘못된 대응 관계를 얻을 수 있으며, 기준(reference) 코드북에 필요 이상으로 많은 코드워드가 존재하는 경우 적응된 코드북에도 불필요한 코드워드들이 남아 인식 과정에 혼란을 줄 수 있다. 이 문제점을 해결하기 위하여 제안된 코드북 변환 알고리즘에서는 주파수 영역의 포만트 정보를 이용하였다. 화자 적응을 수행하기 앞서 코드북의 켑스트럼으로부터 포만트를 추출해 내고, 이들의 분포를 적응 화자의 포만트 분포와 일치되도록 변환시켜 주었다. 이 변환된 포만트들로부터 다시 켑스트럼을 구하여 변환된 코드북을 얻고, 이를 화자 적응의 초기 코드북으로 사용하였다. 제안된 알고리즘을 이용하였을 경우 코드북과 적응 화자의 음성 간의 정확한 대응 관계를 찾을 수 있었고, 불필요한 코드워드들이 인식 과정에서 사용되지 않도록 변환되어 인식률이 향상되는 것을 실험을 통해 확인하였다. The purpose of this paper is to propose a method improving the performance of a semi-continuous hidden Markov model(SCHMM) speaker adaptation system which uses Bayesian Parameter reestimation approach. The performance of Bayesian speaker adaptation could be degraded in case that the features of a new speaker are severely different from those of a reference codebook. The excessive codewords of the reference codebook still remain after adaptation proess. which cause confusion in recognition process. To solve such problems, the proposed method uses formant information which is extracted from the cepstral coefficients of the reference codebook and adaptation data. The reference codebook is adapted to represent the formant distribution of a new speaker and it is used for Bayesian speaker adaptation as an initial codebook. The proposed method provides accurate correspondence between reference codebook and adaptation data. It was observed that the excessive codewords were not selected during recognition process. The experimental results showed that the proposed method improved the recognition performance.

      • Flexible, Tunable, and High Capacity Ultracapacitor using Nitron-Doped Graphene

        정형모(Jeong, Hyung Mo),신원호(Shin, Weon Ho),최윤정(Choi, Yoon Jeong),강정구(Kang, Jeung Ku),최장욱(Choi, Jang Wook) 한국신재생에너지학회 2010 한국신재생에너지학회 학술대회논문집 Vol.2010 No.11

        We developed a simple method to synthesis a nitrogen doped graphene, nitrogen plasma treated graphene (NPG) sheets thought nitrogen plasma etching of graphene oxide (GO). X-ray photo electron spectroscopy (XPS) study of NPG sheets treated at various plasma conditions reveal that N-doping is classified to 3 kinds of binding configurations. The nitrogen doping concentration is at least 1.5 at % and up to 3 at% with changing of ratio of nitrogen configuration in NPG. Our group demonstrate ultracapacitor with high capacity and extremely durable using a NPG sheets that are comparable to pristine graphene supercapacitor, and pseudocapacitor using polymer and metal oxide with redox reaction, capacitance that are three-times higher, and a cycle life that are extremely stable. We also realized flexible capacitor by using the paper electrode that are coated by NPG sheets. NPG paper capacitor presented almost same performance compare with NPG on a metal substrate, and durability is much more enhanced than that. To additionally explain that how different kind of atoms in graphene layers can act as the ion absorption sites, we simulated the binding energy between nitrogen in graphene layer and ions in electrolyte. Increasing the energy density and long cycle life of ultracapacitor will enable them to compete with batteries and conventional capacitors in number of applications.

      • KCI등재

        자성 및 발광 특성이 조절 가능한 다기능 코어/중간체/쉘 나노 입자 합성

        김문경,김세윤,문경석,신원호,정형모,Kim, Mun-Kyoung,Kim, Seyun,Moon, Kyoung-Seok,Shin, Weon Ho,Jeong, Hyung Mo 한국분말야금학회 2019 한국분말재료학회지 (KPMI) Vol.26 No.6

        Fe<sub>3</sub>O<sub>4</sub>/SiO<sub>2</sub>/YVO<sub>4</sub>:Eu<sup>3+</sup> multifunctional nanoparticles are successfully synthesized by facile stepwise sol-gel processes. The multifunctional nanoparticles show a spherical shape with narrow size distribution (approximately 40 nm) and the phosphor shells are well crystallized. The Eu<sup>3+</sup> shows strong photoluminescence (red emission at 619 nm, absorbance at 290 nm) due to an effective energy transfer from the vanadate group to Eu. Core-shell structured multifunctional nanoparticles have superparamagnetic properties at 300 K. Furthermore, the core-shell nanoparticles have a quick response time for the external magnetic field. These results suggest that the photoluminescence and magnetic properties could be easily tuned by either varying the number of coating processes or changing the phosphor elements. The nanoparticles may have potential applications for appropriate fields such as laser systems, optical amplifiers, security systems, and drug delivery materials.

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