• 정보통신설비학회논문지
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• 제5권1호
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• pp.13-24
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• 2006

This paper proposes a wireless management system for a pet dog using wireless sensor network. The developed intelligent wireless management system is compose of a central control system, auto-feeder, miniguidance robot, and wireless sensing devices. The developed system uses three types of sensed data such as light, temperature, md sounds from a pet dog and surrounded environment respectively. The presented design method using these data provides an efficient way to controlling and monitoring the pet dog. The implemented system can be used as a design framework of portable device for the pet management.

• 정보통신설비학회논문지
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• 제7권1호
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• pp.1-13
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• 2007

This paper proposes a wireless management system for a pet dog using wireless sensor network. The developed intelligent wireless management system is compose of a central control system, auto-feeder, mini-guidance robot, and wireless sensing devices. The developed system uses three types of sensed data such as light, temperature, and sounds from a pet dog and surrounded environment respectively. The presented design method using these data provides an efficient way to controlling and monitoring the pet dog. The implemented system can be used as a design framework of portable device for the pet management.

• 방송공학회논문지
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• 제23권3호
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• pp.421-430
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• 2018

많은 음성인식 시스템들은 MFCC와 HMM등의 분류 기법을 사용하여 사람의 음성을 인식한다. 그러나 이러한 음성인식 시스템은 단일 음성신호를 인식하는 것을 목적으로 설계되어, 인간과 기계사이의 일대일 음성 인식에는 적합하나, 애완동물 소리와 실내 소리같은 음성보다 다양하고 넓은 주파수의 소리 군으로 중첩된 음향 속에서 설정된 소리를 인식하기에는 제한이 있다. 중첩된 소리들의 주파수는 사람의 목소리보다 높은 최대 20 kHz까지 넓은 주파수 범위로 구성된다. 본 논문에서는 광역 사운드 스펙트로그램과 DNN에 기반한 케라스 시?셜 모델 기법을 활용하여 인지 주파수 범위를 넓게 확대하는 새로운 인식방법을 제안한다. 광역 사운드 스펙트로그램이 본 논문에서 설계된 특징 추출 및 분류 시스템과 같이 넓은 주파수 범위의 다양한 소리를 분석하고 실험하도록 채택되었다. 소리 인식률을 개선하기 위하여, 케라스 시?셜 모델이 사운드 스펙트로그램에 의하여 생성되어 추출된 특징을 사용하여 패턴인식을 수행하기 위한 방법으로 채용되었다. 제안된 특징 추출 및 분류 시스템이 광역 사운드 스펙트로그램과 케라스 시?셜 모델을 채용하여 애완동물 소리와 실내 소리같은 다양한 주파수들로 구성되어 중첩된 음향 속에서 설정된 소리를 우수하게 분류하는 것을 확인하였다. 그리고 중첩된 소리의 크기에 비례하여 인식에 미치는 특성과 영향을 단계별로 비교 분석하였다.

• 한국의류산업학회지
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• 제15권4호
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• pp.620-629
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• 2013

This study examines the rustling sound characteristics of electrospun nanofiber web laminates according to layer structures. This study assesses mechanical properties and frictional sounds (such as SPL); in addition, Zwicker's psychoacoustic parameters (such as Loudness (Z), Sharpness (Z), Roughness (Z), and Fluctuation strength (Z)) were calculated using the Sound Quality Program (ver.3.2, B&K, Denmark). The result determined how to control these characteristics and minimize rustling sounds. A total of 3 specimens' frictional sound (generated at 0.63 m/s) was recorded using a Simulator for Frictional Sound of Fabrics (Korea Patent No. 10-2008-0105524) and SPLs were analyzed with a Fast Fourier Transformation (FFT). The mechanical properties of fabrics were measured with a KES-FB system. The SPL value of the sound spectrum showed 6.84~58.47dB at 0~17,500Hz. The SPL value was 61.2dB for the 2-layer PU nanofiber web laminates layered on densely woven PET(C1) and was the highest at 65.1dB for the 3-layer PU nanofiber web laminates (C3). Based on SPSS 18.0, it was shown that there is a correlation between mechanical properties and psychoacoustic characteristics. Tensile properties (LT), weight (T), and bending properties (2HB) showed a high correlation with psychoacoustic characteristics. Tensile linearity (LT) with Loudness (Z) showed a negative correlation coefficient; however, weight (T) with Sharpness (Z) and Roughness (Z), and bending hysteresis (2HB) with Roughness (Z) indicated positive correlation coefficients, respectively.

• 대한의용생체공학회:의공학회지
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• 제37권1호
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• pp.7-14
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• 2016

Radiopharmaceutical agents for positron emission tomography (PET), such as $^{18}F$-FDG and $^{68}Ga$, have been used not only for whole-body PET imaging but also for intraoperative radionuclide-guided surgery due to their quantitative and sensitive imaging characteristics. Current intraoperative probes detect gamma or beta particles, but not both of them. Gamma probes have low sensitivities since a collimator has to be used to reduce backgrounds. Positron probes have a high tumor-to-background ratio, but they have a 1-2 mm depth limitation from the body surface. Most of current intraoperative probes produce only audible sounds proportional to count rates without providing tumor images. This research aims to detect both positrons and annihilation photons from $^{18}F$ using plastic scintillators and a GAGG scintillation crystal attached to silicon photomultiplier (SiPM). The depth-of-interaction (DOI) along the plastic scintillator can be used to obtain the 2-D images of tumors near the body surface. The front and rear part of the intraoperative probe consists of $4{\times}1$ plastic scintillators ($2.9{\times}2.0{\times}12.0mm^3$) for positron detection and a Ce:GAGG scintillation crystal ($12.0{\times}12.0{\times}9.0mm^3$) for annihilation photon detection, respectively. The DOI resolution of $4.4{\pm}1.6mm$ along the plastic scintillator was obtained by using the 3M enhanced specular reflector (ESR) with rectangular holes between the plastic scintillators, which showed the feasibility of a 2-D image pixel size of $2.9{\times}4.4mm^2$ (X-direction ${\times}$ Y-direction).