• 제목/요약/키워드: Spectrum DB

검색결과 46건 처리시간 0.032초

Wavelet 변환간섭제거 방식을 이용한 대역 확산 통신시스템 성능분석 (Performance Evaluation of Spread Spectrum Communication System using the Wavelet Transform Interference Excision Scheme)

  • 박재오;이정재
    • 한국정보통신학회:학술대회논문집
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    • 한국해양정보통신학회 1999년도 춘계종합학술대회
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    • pp.272-275
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    • 1999
  • 본 논문에서는 직접 대역 확산 통신 시스템에서 적응 알고리듬을 wavelet 변환 영역에 이용하여 협대역 간섭 성분을 효과적으로 억제할 수 있는 wavelet 변환 기저 적응 간섭 제거 시스템을 소개한다. 두 종류의 Daubechies wavelets(dbl, db8)를 이용한 간섭 제거 시스템의 성능 비교를 위하여 비트 오율을 Monte-Carlo 시뮬레이션을 이용하여 구하고 그 결과로부터 wavelet 특성에 따라 성능이 달라지며 효율적인 개선 효과를 기대할 수 있음을 보였다.

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유ㆍ무성음 척도를 포함한 재구성 특징 파라미터의 음성 인식 성능평가 (Performance Evaluation of Speech Recognition Using the Reconstructed Feature Parameter with Voiced-Unvoiced Measure)

  • 이광석;한학용;고시영;허강인
    • 한국정보통신학회논문지
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    • 제7권2호
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    • pp.177-182
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    • 2003
  • 본 연구는 유사음에 강인한 음성인식을 위하여 음성의 유ㆍ무성음 척도를 특징 파라미터에 추가 구성하여 음절과 음소단위의 음성인식을 행하였다. 이를 위하여 피치검출에 이용되는 알고리듬인 HPS(Harmonic Product Spectrum)의 스펙트럼 정보를 이용하여 유ㆍ무성음의 정도를 나타내는 척도를 제안한다. 제안된 척도는 HPS의 첨도와 피크의 개수 그리고 높이척도이다. 이들 척도 값을 포함하여 특징 파라미터를 재구성하고 제안된 특징의 유효성을 검증하기 위하여 CVC형 유사 음절 DB하에서 기존 특징 파라미터와 비교하여 음성인식 실험을 행하였다.

헤드폰 기반의 입체음향 생성에서 앞/뒤 음상정위 특성 개선 (Improvement of front-back sound localization characteristics in headphone-based 3D sound generation)

  • 김경훈;김시호;배건성;최송인;박만호
    • 한국통신학회논문지
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    • 제29권8C호
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    • pp.1142-1148
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    • 2004
  • 일반적으로 2채널의 헤드폰에서 입체음향을 생성하기 위해서는 HRTF(Head Related Transfer Function) DB를 이용한 바이노럴(binaural) 합성기법을 사용하게 된다(1). 그러나 비 개인화 된 HRTF DB를 이용하여 생성된 2채널 입체음향은 사용자에 따라 앞/ 뒤 또는 상/하 방향에 대해서 혼돈을 가져와 입체감을 저하시킬 수 있다. 본 논문에서는 앞/뒤 음상정위의 혼돈을 개선하기 위해 스펙트럼 단서를 부각시키는 기존의 알고리즘을 분석하고 이를 토대로 혼돈 방향의 HRTF의 차이 성분을 이용하여 스펙트럼 특성을 강조하는 방법을 제안하였다. 또한, 제안한 방식이 기존의 방법에 비해 앞/뒤 방향감이 개선됨을 청감평가 실험을 통해 확인하였다.

빅데이터 분석을 위해 아파치 스파크를 이용한 원시 데이터 소스에서 데이터 추출 (Capturing Data from Untapped Sources using Apache Spark for Big Data Analytics)

  • ;구흥서
    • 전기학회논문지
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    • 제65권7호
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    • pp.1277-1282
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    • 2016
  • The term "Big Data" has been defined to encapsulate a broad spectrum of data sources and data formats. It is often described to be unstructured data due to its properties of variety in data formats. Even though the traditional methods of structuring data in rows and columns have been reinvented into column families, key-value or completely replaced with JSON documents in document-based databases, the fact still remains that data have to be reshaped to conform to certain structure in order to persistently store the data on disc. ETL processes are key in restructuring data. However, ETL processes incur additional processing overhead and also require that data sources are maintained in predefined formats. Consequently, data in certain formats are completely ignored because designing ETL processes to cater for all possible data formats is almost impossible. Potentially, these unconsidered data sources can provide useful insights when incorporated into big data analytics. In this project, using big data solution, Apache Spark, we tapped into other sources of data stored in their raw formats such as various text files, compressed files etc and incorporated the data with persistently stored enterprise data in MongoDB for overall data analytics using MongoDB Aggregation Framework and MapReduce. This significantly differs from the traditional ETL systems in the sense that it is compactible regardless of the data formats at source.

Characteristics of InGaAs/GaAs/AlGaAs Double Barrier Quantum Well Infrared Photodetectors

  • 박민수;김호성;양현덕;송진동;김상혁;윤예슬;최원준
    • 한국진공학회:학술대회논문집
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    • 한국진공학회 2014년도 제46회 동계 정기학술대회 초록집
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    • pp.324-325
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    • 2014
  • Quantum wells infrared photodetectors (QWIPs) have been used to detect infrared radiations through the principle based on the localized stated in quantum wells (QWs) [1]. The mature III-V compound semiconductor technology used to fabricate these devices results in much lower costs, larger array sizes, higher pixel operability, and better uniformity than those achievable with competing technologies such as HgCdTe. Especially, GaAs/AlGaAs QWIPs have been extensively used for large focal plane arrays (FPAs) of infrared imaging system. However, the research efforts for increasing sensitivity and operating temperature of the QWIPs still have pursued. The modification of heterostructures [2] and the various fabrications for preventing polarization selection rule [3] were suggested. In order to enhance optical performances of the QWIPs, double barrier quantum well (DBQW) structures will be introduced as the absorption layers for the suggested QWIPs. The DBWQ structure is an adequate solution for photodetectors working in the mid-wavelength infrared (MWIR) region and broadens the responsivity spectrum [4]. In this study, InGaAs/GaAs/AlGaAs double barrier quantum well infrared photodetectors (DB-QWIPs) are successfully fabricated and characterized. The heterostructures of the InGaAs/GaAs/AlGaAs DB-QWIPs are grown by molecular beam epitaxy (MBE) system. Photoluminescence (PL) spectroscopy is used to examine the heterostructures of the InGaAs/GaAs/AlGaAs DB-QWIP. The mesa-type DB-QWIPs (Area : $2mm{\times}2mm$) are fabricated by conventional optical lithography and wet etching process and Ni/Ge/Au ohmic contacts were evaporated onto the top and bottom layers. The dark current are measured at different temperatures and the temperature and applied bias dependence of the intersubband photocurrents are studied by using Fourier transform infrared spectrometer (FTIR) system equipped with cryostat. The photovoltaic behavior of the DB-QWIPs can be observed up to 120 K due to the generated built-in electric field caused from the asymmetric heterostructures of the DB-QWIPs. The fabricated DB-QWIPs exhibit spectral photoresponses at wavelengths range from 3 to $7{\mu}m$. Grating structure formed on the window surface of the DB-QWIP will induce the enhancement of optical responses.

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주파수 크기 스펙트럼을 이용한 내용기반 초음파 영상검색 (Content-Based Ultrasound Image Retrieval Using Magnitude frequency Spectrum)

  • 손재곤;김상현;김남철
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2000년도 제13회 신호처리 합동 학술대회 논문집
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    • pp.371-374
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    • 2000
  • We propose an efficient method for content-based ultrasound image retrieval using magnitude frequency spectra and implement a retrieval system based on the proposed method. The target images are ultrasound images of adult organs. Trained users often acquire such images so that images of the same kind of organs are very similar, although their locations may not exactly coincide. Therefore, the magnitude frequency spectrum, which has a translation-invariant property, is used as a feature. All the object images in the image DB is pre-classified in the same kind organs. Experimental results show that the proposed method is superior to some well-known conventional methods.

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Vector Quantization using Speech Signal Property

  • Ha, Seok-Won;Yoon, Seok-Hyun;Chung, Kwang-Woo;Hong, Kwang-Seok
    • 대한음성학회:학술대회논문집
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    • 대한음성학회 1996년도 10월 학술대회지
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    • pp.448-455
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    • 1996
  • In this paper, we have proposed a VQ algorithm which uses a generating order to make quantize feature vector of speech signal. The proposed algorithm inspects what codeword follows a(ter present codeword and adds new index to established codebook, when mapping speech signal. We present a variable bit rate for new codebook, and propose an efficient compressed way of information. In this way, the number of computation and the number of codewords to be searched are reduced considerably. The performance of the proposed VQ algorithm is evaluated by spectrum distortion measure and bit rate. The obtained spectrum distortion is reduced about 0.22 [db], and the bit rate is saved over 0.21 bit/frame.

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Synthesis and Characterization of Low Viscosity Aromatic Hyperbranched Polyester Epoxy Resin

  • Zhang, Daohong;Jia, Demin;Zhou, Zihu
    • Macromolecular Research
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    • 제17권5호
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    • pp.289-295
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    • 2009
  • Low viscosity aromatic hyperbranched polyester epoxy resin (HTBE) was synthesized by the reaction between epichlorohydrin (ECH) and carboxyl-end hyperbranched polyester (HTB) which was prepared from inexpensive materials $A_2$ (1,4-butanediol glycol, BEG) and $B_3$ (trimellitic anhydride, TMA) by pseudo one-step method. The molar mass of the HTB was calculated from its acid value by "Recursive Probability Approach". The degree of branching (DB) of the HTB was characterized by model compounds and $^1H$ NMR-minus spectrum technology, and the DB of the HTB was about $0.47{\sim}0.63$. The viscosity and epoxy equivalent weight of the HTBE were $3,600{\sim}5,000\;cp$ and lower than 540 g/mol respectively. The reaction mechanism and structure of the $AB_2$ monomer, HTB and HTBE were investigated by MS, $^1H$ NMR and FTIR spectra technology. The molecular size of HTBE is under 8.65 nm and its shape is ellipsoid-like as determined by molecular simulation.

A Study on the Algorithm for Detection of Partial Discharge in GIS Using the Wavelet Transform

  • J.S. Kang;S.M. Yeo;Kim, C.H.;R.K. Aggarwal
    • KIEE International Transactions on Power Engineering
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    • 제3A권4호
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    • pp.214-221
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    • 2003
  • In view of the fact that gas insulated switchgear (GIS) is an important piece of equipment in a substation, it is highly desirable to continuously monitor the state of equipment by measuring the partial discharge (PD) activity in a GIS, as PD is a symptom of an insulation weakness/breakdown. However, since the PD signal is relatively weak and the external noise makes detection of the PD signal difficult, it therefore requires careful attention in its detection. In this paper, the algorithm for detection of PD in the GIS using the wavelet transform (WT) is proposed. The WT provides a direct quantitative measure of the spectral content and dynamic spectrum in the time-frequency domain. The most appropriate mother wavelet for this application is the Daubechies 4 (db4) wavelet. 'db4', the most commonly applied mother wavelet in the power quality analysis, is very well suited to detecting high frequency signals of very short duration, such as those associated with the PD phenomenon. The proposed algorithm is based on utilizing the absolute sum value of coefficients, which are a combination of D1 (Detail 1) and D2 (Detail 2) in multiresolution signal decomposition (MSD) based on WT after noise elimination and normalization.

Data Exchange between Cadastre and Physical Planning by Database Coupling

  • Kim, Kam-Rae;Choi, Won-Jun
    • 한국측량학회지
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    • 제25권1호
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    • pp.69-75
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    • 2007
  • The information in physical planning field shows the socio-economic potentials of land resources while cadastral data does the physical and legal realities of the land. The two domains commonly deal with land information but have different views. Cadastre has to evolved to the multi-purpose ones which provide value-added information and support a wide spectrum of decision makers by mixing their own information with other spatial/non-spatial databases. In this context, the demands of data exchange between the two domains is growing up but this cannot be done without resolving the heterogeneity between the two information applications. Both of either discipline sees the reality within its own scope, which means each has a unique way to abstract real world phenomena to the database. The heterogeneity problem emerges when an GIS is autonomously and independently established. It causes considerable communication difficulties since heterogeneity of representations forms unique data semantics for each database. The semantic heterogeneity obviously creates an obstacle to data exchange but, at the same time, it can be a key to solve the problems too. Therefore, the study focuses on facilitating data sharing between the fields of cadastre and physical planning by resolving the semantic heterogeneity. The core job is developing a conversion mechanism of cadastral data into the information for the physical planning by DB coupling techniques.