• Journal of Electrical Engineering and Technology
• /
• 제8권2호
• /
• pp.288-294
• /
• 2013

The diagnosis of motor failures using an on-line method has been the aim of many researchers and studies. Several spectral analysis techniques have been developed and are used to facilitate on-line diagnosis methods in industry. This paper discusses the first application of a motor flux spectral analysis to the identification of broken rotor bar (BRB) faults in induction motors using a multiple signal classification (MUSIC) technique as an on-line diagnosis method. The proposed method measures the leakage flux in the radial direction using a radial flux sensor which is designed as a search coil and is installed between stator slots. The MUSIC technique, which requires fewer number of data samples and has a higher detection accuracy than the traditional fast Fourier transform (FFT) method, then calculates the motor load condition and extracts any abnormal signals related to motor failures in order to identify BRB faults. Experimental results clearly demonstrate that the proposed method is a promising candidate for an on-line diagnosis method to detect motor failures.

• Management Science and Financial Engineering
• /
• 제21권2호
• /
• pp.13-23
• /
• 2015

This study addresses the question as to whether the option prices have useful predictive information on the direction of stock markets by investigating a forecasting power of volatility curvatures and skewness premiums implicit in S&P 500 index option prices traded in Chicago Board Options Exchange. We begin by estimating implied volatility functions and risk neutral price densities every minute based on non-parametric method and then calculate volatility curvature and skewness premium using them. The rationale is that high volatility curvature or high skewness premium often leads to strong bullish sentiment among market participants. We found that the rate of return on the signal following trading strategy was significantly higher than that on the intraday buy-and-hold strategy, which indicates that the S&P500 index option prices have a strong forecasting power on the direction of stock index market. Another major finding is that the information contents of S&P 500 index option prices disappear within one minute, and so one minute-delayed signal following trading strategy would not lead to any excess return compared to a simple buy-and-hold strategy.

• 한국위성정보통신학회논문지
• /
• 제8권4호
• /
• pp.37-42
• /
• 2013

이 논문에서는 비이상적인 안테나 배열을 보상하는 방법과 안테나 배열을 이용하여 계산량 관점에서 효율적으로 도래각을 추정하는 방법을 제시하였다. 도래각을 추정하기 위해서는 안테나 배열을 주로 이용한다. 배열을 이루는 각 안테나 소자에 수신되는 신호의 위상차를 이용하여 도래각을 추정한다. 그러나 실제 안테나 배열의 경우 각 안테나 사이의 상호결합 때문에 각 안테나로부터 방사되는 전파의 빔 패턴이 변형되고 이로 인해 도래각 추정 성능이 저하된다. 제안 방식에서는 먼저 상호결합의 영향을 동일하게 받는 안테나 배열의 일부분인 부분배열을 이용하여 도래각을 추정한다. 도래각을 추정하기 위해서는 계산량 관점에서 효율적인 ESPRIT(estimation of signal parameters via rotational invariance techniques)알고리듬을 적용한다. 그 다음 추정한 도래각을 바탕으로 상호결합을 보상하고 부분배열의 크기를 본래의 배열 크기로 확장시킨다. 모의실험 결과 제안한 방법은 재밍대잡음비가 비교적 작을 때에도 우수한 성능을 나타내었다.

• 한국정보통신학회논문지
• /
• 제22권8호
• /
• pp.1076-1082
• /
• 2018

본 논문은 서로 다른 안테나로부터 수신되는 무선 신호의 위상차를 계산하여 신호의 도래방향을 측정하는 인터페로미터 방향 탐지 장치에 관한 것이다. 최신의 전자전용 방향 탐지기는 위상차 측정에 있어서 온도에 따른 위상측정 편차가 작고, 낮은 신호 대 잡음비 환경 에서도 비교적 위상측정 성능이 우수한 디지털 위상차 측정 방법이 적용되고 있다. 시스템에서 요구되는 방향 탐지 정확도 성능 달성을 위한 위상차 측정 허용 오차를 도출하고, 디지털 위상차 측정 방법에 대하여 소개하였다. 샘플 개수, 신호 대 잡음비, 간섭신호 유입에 따른 성능을 정량적으로 분석하였고, 시뮬레이션을 통하여 주파수 영역 측정방법이 시간영역 대비 낮은 SNR 및 간섭신호 유입 환경에서 더 좋은 성능을 보임을 확인하였다. 제안한 방법은 인터페로미터 방향 탐지 장치의 성능 결정에 활용 할 수 있을 것이다.

• 한국위성정보통신학회논문지
• /
• 제12권1호
• /
• pp.101-106
• /
• 2017

In this paper, we present Emergency exit signs are installed to provide escape routes or ways in buildings like shopping malls, hospitals, industry, and government complex, etc. and various other places for safety purpose to aid people to escape easily during emergency situations. In case of an emergency situation like smoke, fire, bad lightings and crowded stamped condition at emergency situations, it's difficult for people to recognize the emergency exit signs and emergency doors to exit from the emergency building areas. This paper propose an automatic emergency exit sing recognition to find exit direction using a smart device. The proposed approach aims to develop an computer vision based smart phone application to detect emergency exit signs using the smart device camera and guide the direction to escape in the visible and audible output format. In this research, a CAMShift object tracking approach is used to detect the emergency exit sign and the direction information extracted using template matching method. The direction information of the exit sign is stored in a text format and then using text-to-speech the text synthesized to audible acoustic signal. The synthesized acoustic signal render on smart device speaker as an escape guide information to the user. This research result is analyzed and concluded from the views of visual elements selecting, EXIT appearance design and EXIT's placement in the building, which is very valuable and can be commonly referred in wayfinder system.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• 제17권5호
• /
• pp.1339-1355
• /
• 2023

Localization is a hot research spot for many areas, especially in the mobile robot field. Due to the weak signal of the global positioning system (GPS), the alternative schemes in an indoor environment include wireless signal transmitting and receiving solutions, laser rangefinder to build a map followed by a re-localization stage and visual positioning methods, etc. Among all wireless signal positioning techniques, Wi-Fi is the most common one. Wi-Fi access points are installed in most indoor areas of human activities, and smart devices equipped with Wi-Fi modules can be seen everywhere. However, the localization of a mobile robot using a Wi-Fi scheme usually lacks orientation information. Besides, the distance error is large because of indoor signal interference. Another research direction that mainly refers to laser sensors is to actively detect the environment and achieve positioning. An occupancy grid map is built by using the simultaneous localization and mapping (SLAM) method when the mobile robot enters the indoor environment for the first time. When the robot enters the environment again, it can localize itself according to the known map. Nevertheless, this scheme only works effectively based on the prerequisite that those areas have salient geometrical features. If the areas have similar scanning structures, such as a long corridor or similar rooms, the traditional methods always fail. To address the weakness of the above two methods, this work proposes a coarse-to-fine paradigm and an improved localization algorithm that utilizes Wi-Fi to assist the robot localization in a geometrically similar environment. Firstly, a grid map is built by using laser SLAM. Secondly, a fingerprint database is built in the offline phase. Then, the RSSI values are achieved in the localization stage to get a coarse localization. Finally, an improved particle filter method based on the Wi-Fi signal values is proposed to realize a fine localization. Experimental results show that our approach is effective and robust for both global localization and the kidnapped robot problem. The localization success rate reaches 97.33%, while the traditional method always fails.

• 대한전자공학회논문지TC
• /
• 제43권12호
• /
• pp.16-23
• /
• 2006

본 논문은 msec.이하의 짧은 펄스형 신호를 탐지하기 위해 RF 하향변환기에서 직접 변환 방식을 수행하고, 방위 추정에 CVDF (Correlation Vector Direction Finding) 기법을 사용하는 고속 방향탐지기의 개발에 관한 것이다. 선정된 5-채널 등간격 원형 배열구조에서 방향탐지기의 구성 및 특징을 간단히 기술하고 고속 신호수신을 위해 직접 변환을 아날로그 I/Q 복조기에 적용하여 동조시간을 제거하는 기술을 설명한다. 또한 상기 모델에 대한 CRLB(Cramer-Rao Lower Bound)를 유도하고, 2종의 상관형 백터 방향탐지 기법인 LSE 기반 및 상관계수형 알고리즘의 원리를 기술하고 SNR, 샘플수, 이격거리비 변화에 따른 성능을 비교하여 그 특징을 살펴본다. 직접 변환 기법을 사용한 RF 하향변환기 프로토타입을 제작하고, 2종의 상관형 백터 방향탐지 기법을 적용하여 그 성능을 분석하였다 분석 결과, 모호성 발생에 대한 내성은 상관계수형 알고리즘이 양호한 반면, 나머지 조건에서 LSE 기반 알고리즘이 우수한 것으로 조사되었고, 이 결과는 시뮬레이션 결과와 일치하는 것을 확인하였다.

• 말소리와 음성과학
• /
• 제2권3호
• /
• pp.141-148
• /
• 2010

In this paper, voice activity detection (VAD) for dual-channel noisy speech recognition is proposed in which spatial cues are employed. In the proposed method, a probability model for speech presence/absence is constructed using spatial cues obtained from dual-channel input signal, and a speech activity interval is detected through this probability model. In particular, spatial cues are composed of interaural time differences and interaural level differences of dual-channel speech signals, and the probability model for speech presence/absence is based on a Gaussian kernel density. In order to evaluate the performance of the proposed VAD method, speech recognition is performed for speech segments that only include speech intervals detected by the proposed VAD method. The performance of the proposed method is compared with those of several methods such as an SNR-based method, a direction of arrival (DOA) based method, and a phase vector based method. It is shown from the speech recognition experiments that the proposed method outperforms conventional methods by providing relative word error rates reductions of 11.68%, 41.92%, and 10.15% compared with SNR-based, DOA-based, and phase vector based method, respectively.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• 제14권7호
• /
• pp.2879-2890
• /
• 2020

In this paper, we study the estimation of angle, range and polarization parameters of a bistatic polarization sensitive frequency diverse array multiple-input multiple-output (PSFDA-MIMO) radar system. The application of polarization sensitive array in receiver is explored. A signal model of bistatic PSFDA-MIMO radar system is established. In order to utilize the multi-dimensional structure of array signals, the matched filtering radar data can be represented by a third-order tensor model. A joint estimation of the direction-of-departure (DOD), direction-of-arrival (DOA), range and polarization parameters based on parallel factor (PARAFAC) algorithm is proposed. The proposed algorithm does not need to search spectral peaks and singular value decomposition, and can obtain automatic pairing estimation. The method was compared with the existing methods, and the results show that the performance of the method is better. Therefore, the accuracy of the parameter estimation is further improved.

• 한국음향학회지
• /
• 제18권2호
• /
• pp.40-47
• /
• 1999

송신 초음파 음장에서 해상도를 증가시키기 위하여 집속방법을 널리 이용한다. 집속은 영상점이 있는 Mainlobe 방향에서 돌아온 반사 신호의 크기를 증가시키지만, sidelobe에 의한 반사 신호는 상쇄되어 크기가 줄거나 없어진다. 그러나 집속한 뒤에도 sidelobe의 신호가 완전히 제거되지 않을 경우 영상의 해상도를 크게 저하시킨다. 본 논문은 초음파의 음장특성에 따라 수신된 신호를 Fourier transform하여 주파수 영역에서 sidelobe와 null 방향에서 돌아오는 수신신호의 크기를 구하여 비율에 따라 영상값을 scaling함으로써 sidelobe의 영향을 줄여 해상도를 향상시키는 방법을 제안하였다. 제안한 방법을 컴퓨터 시뮬레이션과 실험으로 검증하여 mainlobe의 폭이 줄고 sidelobe가 감소함을 보였다.