• Journal of the Korean Institute of Intelligent Systems
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• v.17 no.7
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• pp.945-951
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• 2007

Noise cancellation is essential for the devices which use speech as an interface. In real environments, speech quality and recognition rates are degraded by the auditive noises coming near the microphone. In this paper, we propose a noise cancellation algorithm using stereo microphones basically. The advantage of the use of multiple microphones is that the direction information of the target source could be applied. The proposed noise canceller is based on the Wiener filter. To estimate the filter, noise and target speech frequency responses should be known and they are estimated by the spectral classification in the frequency domain. The performance of the proposed algorithm is compared with that of the well-known Frost algorithm and the generalized sidelobe canceller (GSC) with an adaptation mode controller (AMC). As performance measures, the perceptual evaluation of speech quality (PESQ), which is the most widely used among various objective speech quality methods, and speech recognition rates are adopted.

• Journal of the Korean Home Economics Association
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• v.26 no.3
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• pp.135-152
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• 1988

The purpose of this study was to survey the improvement activities for the apartment house ; and to examine the relationship between apartment residents and their housing improvement activities in order to present some informations for the further studies and plans of apartment design and housing policy. Library and questionnaire survey methods were used in this research. the sample was taken from 102 housewives living in the apartments over 45 pyong (1602 sq. ft.), in Seoul, Data were analyzed with the SPSS using frequency, percentage, chi-square test, F-test, Duncan's multiple range test, η2, and C2. The results were as follows: 1. It was found that residents had experienced with 3.6 kinds of housing improvement activities. Living rooms, dining rooms, and kitchens in family living areas ; balconies and utility rooms in utility areas were improved for the physical convenience and quality of living. 2. This survey indicated that apartment residents evaluated thier housing condition as high, except storage spaces and outdoor noises. 3. About 80% of respondents were expected to live continuously in the current apartments because they were satisfied with the size of thier residences, However, they wanted to improve the inside of the entire apartment, especially bathrooms. 4. Variables which had a significant relationship in housing improvement activities in the past were the length of residence, the expected length of residence, and the characteristic of residence. 5. The expected length of residence, and the characteristic of residence were found to be effective variable for evaluating the current residence. 6. Finally, the expected length of residence, and the characteristic of residence were significant variables of the housing plan in the future. Housing improvement activities were prevalent recently and expected to be continued in the future. It can be said, therefore, that apartment residents have a long -term plan to live in one place rather than moving out ever two-three years.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2017.05a
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• pp.495-498
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• 2017

As the number of tourist has been increased recently, the interest level in the carriers was elevated. Hence, the technologies on the carriers have been developed variously, and smart carriers are widely used. However, noises are occurred with multiple causes since smart carrier uses the speed control system by gradient sensor. Because of this, the possibility of wrong operation is high by abrupt operation or cumulative error. Therefore, FIR low pass filter was designed and applied in the gradient sensor to realize the strong sensing system against the noise so as to supplement the weaknesses of the existing system in this article.

• The Journal of the Acoustical Society of Korea
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• v.35 no.2
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• pp.110-117
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• 2016

Passive sonar systems detect and classify the target by analyzing the radiated noises from vessels. If multiple noise sources exist within the sonar detection range, it gets difficult to classify each noise source because mixture of noise sources are observed. To overcome this problem, a beamforming technique is used to separate noise sources spatially though it has various limitations. In this paper, we propose a new method that uses a FDICA (Frequency Domain Independent Component Analysis) to separate noise sources from the mixture. For experiments, each noise source signal was synthesized by considering the features such as machinery tonal components and propeller tonal components. And the results of before and after separation were compared by using LOFAR (Low Frequency Analysis and Recording), DEMON (Detection Envelope Modulation On Noise) analysis.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.24 no.5
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• pp.987-999
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• 2014

A PUF is embedded and implemented into a tag or a device, and outputs a noise y with an input of x, based on its own unique physical characteristics. Although x is used multiple times as inputs of PUF, the PUF outputs slightly different noises, ($y_1,{\cdots}y_n$), and also the PUF has tamper-resistance property, hence it has been widely used in cryptographic protocol. In this paper, we study how to design a PUF-based RFID authentication protocol in a secure and an efficient way. Compared with recent schemes, the proposed scheme guarantees both authentication and privacy of backword/forward under the compromise of long-term secrets stored in tag. And also, the most cost and time-consumming procedure, key recovery algorithm used with PUF, has been desgined in the side of RFID reader, not in the tag, and, consequently, gives possibility to minimize costs for implementation and running time.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.11
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• pp.7941-7948
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• 2015

Rolling noises during train operation are caused by vibration excited from irregularities of surface roughness between wheel and rail. Therefore, a proper measurement and analysis techniques of acoustic roughness between wheel and rail surface are required for transmission, prediction, and analysis of the train rolling noise. However, since current measuring devices and methods use trolley-based manual handling devices, the measurements induce unstable measuring speed and vibrational interface that increases errors and disturbances. In this paper, a new automatic rail surface exploring platform with a speed controller has been developed for improving measurement accuracy and reducing inconsistency of measurements. In addition, we propose a data integration method of the rail surface roughness with multiple homogeneous displacement sensors and verified the accuracy of the integrated data through standard test-bed railway track investigation.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.39 no.2
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• pp.121-127
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• 2011

This paper presents an autonomous formation flight algorithm for micro aerial vehicles (MAVs) and its flight test results. Since MAVs have severe limits on the payload and flight time, formation of MAVs can help alleviate the mission load of each MAV by sharing the tasks or coverage areas. The proposed formation guidance law is designed using nonlinear dynamic inversion method based on 'Leader-Follower' formation geometric relationship. The sensing of other vehicles in a formation is achieved by sharing the vehicles' states using a high-speed radio data link. the designed formation law was simulated with flight data of MAV to verify its robustness against sensor noises. A series of test flights were performed to validate the proposed formation guidance law. The test result shows that the proposed formation flight algorithm with inter-communication is feasible and yields satisfactory results.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.7 no.3
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• pp.339-349
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• 2017

This paper proposes a four-stage algorithm for detecting lanes on a driving car. In the first stage, it extracts region of interests in an image. In the second stage, it employs a median filter to remove noise. In the third stage, a binary algorithm is used to classify two classes of backgrond and foreground of an input image. Finally, an image erosion algorithm is utilized to obtain clear lanes by removing noises and edges remained after the binary process. However, the proposed lane detection algorithm requires high computational time. To address this issue, this paper presents a parallel implementation of a real-time line detection algorithm on a multi-core architecture. In addition, we implement and simulate 8 different processing element (PE) architectures to select an optimal PE architecture for the target application. Experimental results indicate that 40×40 PE architecture show the best performance, energy efficiency and area efficiency.

• Geophysics and Geophysical Exploration
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• v.16 no.3
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• pp.171-179
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• 2013

An automated ultrasonic velocity measurement system adopting pulse-echo-overlap (PEO) method has been constructed, which is known to be a precise and versatile method. It has been applied to velocity measurements for 5 kinds of engineering plastic cores and compared to first arrival picking (FAP) method. Because it needs multiple reflected waves and waves travel at least 4 times longer than FAP, PEO has basic restriction on sample length measurable. Velocities measured by PEO showed slightly lower than that by FAP, which comes from damping and diffusive characteristics of the samples as the wave travels longer distance in PEO. PEO, however, can measure velocities automatically by cross-correlating the first echo to the second or third echo, so that it can exclude the operator-oriented errors. Once measurable, PEO shows essentially higher repeatability and reproducibility than FAP. PEO system can diminish random noises by stacking multiple measurements. If it changes the experimental conditions such as temperature, saturation and so forth, the automated PEO system in this study can be applied to monitoring the velocity changes with respect to the parameter changes.

• The KIPS Transactions:PartA
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• v.14A no.2
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• pp.77-84
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• 2007

The intima media thickness(IMT) of the carotid artery from B mode ultrasound images has recently been proposed as the most useful index of individual atherosclerosis and can be used to predict major cardiovascular events. Ultrasonic measurements of the IMT are conventionally obtained by manually tracing interfaces between tissue layers. The drawbacks of this method are the inter and intra observer variability and its inefficiency. In this paper, we present a multiresolution snake method combined with the dynamic programming, which overcomes the various noises and sensitivity to initialization of conventional snake. First, an image pyramid is constructed using the Gaussian pyramid that maintains global edge information with smoothing in the images, and then the boundaries are automatically detected in the lowest resolution level by minimizing a cost function based on dynamic programming. The cost function includes cost terms which are representing image features and geometrical continuity of the vessel interfaces. Since the detected boundaries are selected as initial contour of the snake for the next level, this automated approach solves the problem of the initialization. Moreover, the proposed snake improves the problem of converging th the local minima by defining the external energy based on multiple image features. In this paper, our method has been validated by computing the correlation between manual and automatic measurements. This automated detection method has obtained more accurate and reproducible results than conventional edge detection by considering multiple image features.