• 한국항해항만학회:학술대회논문집
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• 한국항해항만학회 2023년도 춘계학술대회
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• pp.19-20
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• 2023

IALA Guideline 1132 is intended to assist authorities in implementing the procedures described in IALA Recommendation R1012: VTS Communications with the objective of harmonizing VTS communications through the use of standard message structure and phraselogly. For this reason, it is recommended that VTS Authorities put adequate procedures in place to ensure its consistent and correct implementation for the actual VTS operation as is now being considered in IALA as part of the VTS English language proficiency test. In light of the 2022 publication of IALA Guideline 1132: VTS Voice Communications and Phraseology, in this sense, the potential evaluative variables will be studied in the context of this presentation.

• International journal of advanced smart convergence
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• 제12권4호
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• pp.119-125
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• 2023

Smart home in the 4th industrial revolution environment is where all devices in the home are connected to each other to provide the optimal living environment desired by the user. Artificial intelligence speakers are being used as a way to manage and control all devices used in this environment. The function of an artificial intelligence speaker ranges from simple music playback to serving as an interface that controls and manages all devices in a smart home space. In this study, we investigated and analyzed the usability of artificial intelligence speakers based on the current status of domestic and overseas markets and the survey contents of two organizations (Korea Consumer Agency and Korea Information and Communication Policy Institute (KISDI)). In addition, we investigated and analyzed the usability of artificial intelligence speakers. Based on the results of responses from users from two related organizations, major problems were derived, and major improvement measures, such as discovering new functions and improving voice recognition performance, were also described.

• 한국콘텐츠학회논문지
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• 제5권1호
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• pp.45-53
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• 2005

이동통신 사용자들은 PKI를 기반으로 무선 인터넷을 통한 뱅킹, 증권거래, 전자 지불 등의 다양한 서비스를 이용하고 있다. 또한 이동통신 사용자간의 데이터 통신에 대한 필요성도 점차 증가하고 있다. 무선 PKI 환경에서 사용자들은 인증서를 이용하여 사용자 인증, 키 분배, 암 복호화 등을 수행할 수 있으며 그에 따라 이동통신 사용자간의 인증서상태 검증과정도 필요하게 되었다. 이미 개발되어 상용화되어 있는 이동통신용 교환기는 음성 통화를 위주로 설계되었으므로 이를 이용하여 데이터 통신을 하기 위해서는 음성호의 호처리 절차를 이용하여야 한다. 따라서 본 연구에서는 무선 PKI 환경을 이용한 이동통신 사용자간의 데이터 통신에 필요한 인증서상태 검증작업을 호처리 과정 내에서 효율적으로 처리할 수 있는 모델을 PCS(Personal Communication System)를 중심으로 제안하고자 한다.

• 한국군사과학기술학회지
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• 제13권2호
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• pp.243-251
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• 2010

The military has been putting great efforts into applying data communication on existing voice communication systems being used in NCW(Network Centric Warfare). Data communication will be an effective choice in one of many effort to yield a minimum kill chain, comparing to legacy voice communications, when tactical units conduct their missions. However, the required budget will be enormous, in case of the replacement of a lot of legacy communication systems with new one. As a cost-effective alternative, the tactical data communication systems using the conventional radio systems instead of the development of new radio systems has been proposed. It is mandatory, though, to ensure QoS while maintaining data communication by making use of legacy radio systems already in use. This paper focuses on the performance issues experimented and analyzed for tactical data communication through the legacy radio systems as the first step towards guaranteed QoS. We have conducted various experiments such as the transmission error rate on certain tactical messages, performance evaluation of redundant transfers, the relationship between the transmission frame size and rate of error, the identification of error points in the transmission frame, and techniques to reduce the errors in both hopping and non-hopping modes. As a result of the performance experiments, The adaptive communication module which decides the redundant transmission or the Forward Error Correction(FEC) technique by analyzing channel status and current transmission status(hopping/non-hopping) of the legacy radio should be designed. the FEC technique in non-hopping, and the redundant transmission technique in hopping mode was recommended from the result of experiment with the frame size is 20bytes in non-hopping and 10Bytes frame size in hopping mode.

• 한국통신학회논문지
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• 제29권10B호
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• pp.866-879
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• 2004

본 연구논문에서는 소비자의 서비스 품질에 따른 지불의사를 고려하여 음성/데이터 통합 이동통신서비스 제공업자의 수익을 극대화시키는 최적 가격을 결정하는 모델을 제시한다. 특히 고려되는 음성서비스 및 데이터서비스의 가격방식은 현재 우리나라 이동통신서비스의 회선요금제와 패킷요금제를 각각 적용한다. 이 모델은 소비자들이 핸드오프도중 발생하는 통화단절에 매우 민감하게 반응한다는 가정하에, 기지국이 무선채널을 할당함에 있어서 핸드오프 트래픽만이 독점사용할 수 있는 가드채널을 할당하는 방안을 고려하며, 더불어 서비스제공업자가 통화단절율의 서비스 품질을 소비자군에게 보장하는 경우를 고려한다. 궁극적으로 이 모델은 단기적으로 가격전략 및 무선채널 할당정책에 의존하여 서비스 품질을 개선$.$보장할 수 있는 방안을 제시하며, 그 결과 시스템자원의 확충없이는 수익과 서비스 품질의 개선$.$보장간에 상충관계가 존재함을 보여준다.

• 한국인터넷방송통신학회논문지
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• 제12권1호
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• pp.225-230
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• 2012

오피니언 마이닝은 기존의 데이터 마이닝 기술을 활용하여 웹 상에 개재된 블로그, 상품평등에 나타난 저자의 의견을 추출하는 분야로써 텍스트의 주제를 판단하는 것이 아닌 주제에 대한 저자의 태도를 판단하는 기술이다. 본 논문에서는 오피니언 마이닝 알고리즘과 공개된 음성인식 API을 사용하여 텍스트가 아닌 음성의 대한 데이터의 감정을 판단하기 위해 제안했다. 이 시스템은 공개된 Google Voice Recognition API와 주제어와 관련된 순위화 알고리즘, 개선된 극성 판단 알고리즘을 통하여 설계하고, 이를 바탕으로 음성인식 인터뷰 모델을 구현한다.

• 대한후두음성언어의학회지
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• 제25권1호
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• pp.13-15
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• 2014

Presbyphonia is defined as voice change caused by aging. Since presbyphonia is one of the natural aging processes, the treatment should be considered for the patients complaining communication difficulties. The treatment should not only target on presbylaryngis, but also on underlying systemic conditions such as lung function, neurological diseases and medications. Therefore, the treatment for the patients with presbyphonia should be multidisciplinary including underlying disease control, voice therapy and surgical treatment. Although various experiments on treatment of presbylaryngis are currently being tried, repeated injection laryngoplasty is still playing an important role because presbyphonia is destined to get worse over time.

• Journal of Electrical Engineering and Technology
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• 제12권1호
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• pp.373-377
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• 2017

This paper presents a voice-activity detection (VAD) method for sound sequences with various SNRs. For real-time VAD applications, it is inadequate to employ a post-processing for the removal of burst clippings from the VAD output decision. To tackle this problem, building on the bi-level hidden Markov model, for which a state layer is inserted into a typical hidden Markov model (HMM), we formulated a robust method for VAD not requiring any additional post-processing. In the method, a forward-inference-ratio test was devised to detect the speech endpoints and Mel-frequency cepstral coefficients (MFCC) were used as the features. Our experiment results show that, regarding different SNRs, the performance of the proposed approach is more outstanding than those of the conventional methods.

• Journal of the Korean Society for Industrial and Applied Mathematics
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• 제3권2호
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• pp.69-80
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• 1999

Recently in telecommunication, BISDN ( Broadband Integrated Service Digital Network ) has received considerable attention for its capability of providing a common interface for future communication needs including voice, data and video. Since all information in BISDN are statistically multiplexed and are transported in high speed by means of discrete units of 53-octet ATM ( asynchronous Transfer Mode ) cells, appropriate traffic control needs. For traffic shaping of voice, the output cell discarding scheme has been proposed. We analyze the scheme with a MMPP/$D_1$, $D_2$/1/B queueing system to obtain performance measures such as loss probability and waiting time distribution.

• The Journal of the Acoustical Society of Korea
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• 제21권2E호
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• pp.98-104
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• 2002

The present study describes a combination method to recognize the human affective states such as anger, happiness, sadness, or surprise. For this, we extracted emotional features from voice signals and facial expressions, and then trained them to recognize emotional states using hidden Markov model (HMM) and neural network (NN). For voices, we used prosodic parameters such as pitch signals, energy, and their derivatives, which were then trained by HMM for recognition. For facial expressions, on the other hands, we used feature parameters extracted from thermal and visible images, and these feature parameters were then trained by NN for recognition. The recognition rates for the combined parameters obtained from voice and facial expressions showed better performance than any of two isolated sets of parameters. The simulation results were also compared with human questionnaire results.