• Title/Summary/Keyword: ADSv1.2

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Design and Implementation of Educational Embedded Network System (교육용 임베디드 네트워크 실습 장비의 설계 및 구현)

  • Kim, Dae-Hee;Chung, Joong-Soo;Park, Hee-Jung;Jung, Kwang-Wook
    • Journal of the Korea Society of Computer and Information
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    • v.14 no.10
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    • pp.23-29
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    • 2009
  • This paper presents the development of embedded network educational system. This is an educational equipment which enables user to have training over Network Configuration and Embedded network programming practice on Internet environment. The network education system is developed on embedded environment. based on using ethernet interface. On the development environment. PAX255 VLSI chip is used for the processor, the ADSv1.2 for debugging, uC/OS276 for RTOS. The system software was developed using C language. The ping program provided an educational environment for the student to compile and load it to run after doing practice of demonstration behavior. Afterwards programming procedure starts the step-by-step training just like the demonstration function. In other words, programming method how to design the procedure of ARP operation and ICMP operation is explained.

The Design and Development of IEEE 802.11 Wireless MAC Protocol Emulation Using UC/OS System (UC/OS을 사용하여 IEEE 802.11 무선 맥 프로토콜 에뮬레이션의 설계 및 개발)

  • Wang, Jian;Park, Ji-Min;Chung, Joong-Soo
    • Proceedings of the Korea Contents Association Conference
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    • 2013.05a
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    • pp.245-246
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    • 2013
  • 본 논문에서는 UC/OS 시스템을 사용하는 IEEE802.11 무선 MAC프로토콜의 처리과정중탐색, 인증, 결합 과정을 이더넷으로 동작하는 하드웨어 위에 에뮬레이션하였다. 에뮬레이션 환경은ADSv1.2을 사용하고, RTOS는UC / OS를, 사용언어는 C언어를 활용하였다. 검증과정으로는 이더넷으로 구동되는AP와 단말 하드웨어에 각각PC를 하이퍼 터미널으로 접속하여 탐색, 인증, 결합과정에 해당하는 절차를 수행하였다.

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The Utility of Perturbation, Non-linear dynamic, and Cepstrum measures of dysphonia according to Signal Typing (음성 신호 분류에 따른 장애 음성의 변동률 분석, 비선형 동적 분석, 캡스트럼 분석의 유용성)

  • Choi, Seong Hee;Choi, Chul-Hee
    • Phonetics and Speech Sciences
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    • v.6 no.3
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    • pp.63-72
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    • 2014
  • The current study assessed the utility of acoustic analyses the most commonly used in routine clinical voice assessment including perturbation, nonlinear dynamic analysis, and Spectral/Cepstrum analysis based on signal typing of dysphonic voices and investigated their applicability of clinical acoustic analysis methods. A total of 70 dysphonic voice samples were classified with signal typing using narrowband spectrogram. Traditional parameters of %jitter, %shimmer, and signal-to-noise ratio were calculated for the signals using TF32 and correlation dimension(D2) of nonlinear dynamic parameter and spectral/cepstral measures including mean CPP, CPP_sd, CPPf0, CPPf0_sd, L/H ratio, and L/H ratio_sd were also calculated with ADSV(Analysis of Dysphonia in Speech and VoiceTM). Auditory perceptual analysis was performed by two blinded speech-language pathologists with GRBAS. The results showed that nearly periodic Type 1 signals were all functional dysphonia and Type 4 signals were comprised of neurogenic and organic voice disorders. Only Type 1 voice signals were reliable for perturbation analysis in this study. Significant signal typing-related differences were found in all acoustic and auditory-perceptual measures. SNR, CPP, L/H ratio values for Type 4 were significantly lower than those of other voice signals and significant higher %jitter, %shimmer were observed in Type 4 voice signals(p<.001). Additionally, with increase of signal type, D2 values significantly increased and more complex and nonlinear patterns were represented. Nevertheless, voice signals with highly noise component associated with breathiness were not able to obtain D2. In particular, CPP, was highly sensitive with voice quality 'G', 'R', 'B' than any other acoustic measures. Thus, Spectral and cepstral analyses may be applied for more severe dysphonic voices such as Type 4 signals and CPP can be more accurate and predictive acoustic marker in measuring voice quality and severity in dysphonia.