• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.16 no.2
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• pp.113-122
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• 2016

In this paper, we suggest a approach which comprises fast Fourier transform inversion by wavelet noise attenuation. It represents an inverse filtering by adopting a factor into the Wiener filtering, and the optimal factor is chosen to minimize the overall mean squared error. in order to apply the Wiener filter, we have to compute the power spectrum of original image from the corrupted figure. Since the Wiener filtering contains the inverse filtering process, it expands the noise when the blurring filter is not invertible. To remove the large noises, the best is to remove the noise using wavelet threshold. Wavelet noise attenuation steps are consisted of inverse filtering and noise reduction by Wavelet functions. experimental results have not outperformed the other methods over the overall restoration performance.

• Phonetics and Speech Sciences
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• v.3 no.3
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• pp.109-114
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• 2011

To estimate sound direction of arrival with a pair of microphones, a method based on Time Difference of Arrival (TDOA) estimation using the Cross Power Spectrum Phase (CPSP) function is largely used due to its simplicity and good performance. In this paper, we investigate CPSP maximum values for various SNRs and adverse environments, and propose a novel method to improve the estimation performance of sound direction of arrival. The proposed method applies a threshold to the CPSP values and increases the reliability of the estimated sound direction. Through computer simulation for various SNRs, we validate the effectiveness of the proposed method. When the threshold was set to 0.1, more than 90% of success rate of sound direction of arrival estimation has been achieved for directions of $10^{\circ}$, $40^{\circ}$, $70^{\circ}$ from the source location even with reverberation times of 0.1s.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.7 no.5
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• pp.1131-1145
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• 2013

Energy detection is a widely used method for spectrum sensing in cognitive radios due to its simplicity and accuracy. However, it is severely affected by the noise uncertainty. To solve this problem, a blind multiband spectrum sensing scheme which is robust to noise uncertainty is proposed in this paper. The proposed scheme performs spectrum sensing over the total frequency channels simultaneously rather than a single channel each time. To improve the detection performance, the proposal jointly utilizes the likelihood function combined with Gerschgorin radii of unitary transformed covariance matrix. Unlike the conventional sensing methods, our scheme does not need any prior knowledge of noise power or PU signals, and thus is suitable for blind spectrum sensing. In addition, no subjective decision threshold setting is required in our scheme, making it robust to noise uncertainty. Finally, numerical results based on the probability of detection and false alarm versus SNR or the number of samples are presented to validate the performance of the proposed scheme.

• The Journal of Korean Institute of Electromagnetic Engineering and Science
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• v.23 no.12
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• pp.1406-1411
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• 2012

An energy detection based spectrum sensing has been found to be vulnerable to the noise power uncertainty. A cooperative spectrum sensing with an energy detector has appeared as one of the solutions to alleviate this difficulty. However, its performance analysis in a fading environment has not been reported yet in the literature. Motivated by this, this paper presents the performance analysis of the scheme by extending our previous work on evaluating the performance of an energy detector in the presence of noise power uncertainty. The analysis shows that the false alarm probability and detection probability gets higher as the sensing time and/or the number of the secondary users in the OR based cooperative spectrum sensing scheme increase when the noise power uncertainty exists.

• International Journal of Computer Science & Network Security
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• v.23 no.4
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• pp.55-68
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• 2023

In recent years, the Television White Space (TVWS) has attracted the interest of many researchers due to its propagation characteristics obtainable between 470MHz and 790MHz spectrum bands. The plenty of unused channels in the TV spectrum allows the secondary users (SUs) to use the channels for broadband services especially in rural areas. However, when the number of SUs increases in the TVWS wireless network the aggregate interference also increases. Aggregate interferences are the combined harmful interferences that can include both co-channel and adjacent interferences. The aggregate interference on the side of Primary Users (PUs) has been extensively scrutinized. Therefore, resource allocation (power and spectrum) is crucial when designing the TVWS network to avoid interferences from Secondary Users (SUs) to PUs and among SUs themselves. This paper proposes a model to improve the resource allocation for reducing the aggregate interface among SUs for broadband services in rural areas. The proposed model uses joint power and spectrum hybrid Firefly algorithm (FA), Genetic algorithm (GA), and Particle Swarm Optimization algorithm (PSO) which is considered the Co-channel interference (CCI) and Adjacent Channel Interference (ACI). The algorithm is integrated with the admission control algorithm so that; there is a possibility to remove some of the SUs in the TVWS network whenever the SINR threshold for SUs and PU are not met. We considered the infeasible system whereby all SUs and PU may not be supported simultaneously. Therefore, we proposed a joint spectrum and power allocation with an admission control algorithm whose better complexity and performance than the ones which have been proposed in the existing algorithms in the literature. The performance of the proposed algorithm is compared using the metrics such as sum throughput, PU SINR, algorithm running time and SU SINR less than threshold and the results show that the PSOFAGA with ELGR admission control algorithm has best performance compared to GA, PSO, FA, and FAGAPSO algorithms.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.11 no.3
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• pp.1301-1318
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• 2017

In order to utilize the licensed channel of cognitive radio (CR) when the primary user (PU) is detected busy, a benefit-exchange access mode based on cooperative communication is proposed to allow secondary user (SU) to access the busy channel through giving assistance to PU's communication in exchange for some transmission bandwidth. A holistic joint optimization problem is formulated to maximize the total throughput of CR system through jointly optimizing the parameters of cooperative spectrum sensing (CSS), including the local sensing time, the pre-configured sensing decision threshold, the forward power of cooperative communication, and the bandwidth and transmission power allocated to SUs in benefit-exchange access mode and traditional access mode, respectively. To solve this complex problem, a combination of bi-level optimization, interior-point optimization and exhaustive optimization is proposed. Simulation results show that, compared with the tradition throughput maximizing model (TTMM), the proposed holistic joint optimization model (HJOM) can make use of the channel effectively even if PU is busy, and the total throughput of CR obtains a considerable improvement by HJOM.

• The Journal of Korean Institute of Electromagnetic Engineering and Science
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• v.17 no.10 s.113
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• pp.985-992
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• 2006

The classic routing algorithms try to minimize the number of hops to reach a destination. In our DPC(Distributed Power Control) this hop-by-hop power level selection is also used to select the path guaranteeing low energy consumption. The main goal is to realize a dynamic protocol able to be aware of mobility and to automatically set security threshold in order to get the best performance in every situation. In conclusion, the simulation DPC has improved energy gain of the AMRIS routing algorithm at the narrow area, and ODMRP routing algorithm has improved energy gain at the wide area.

• Proceedings of the Korea Institute of Convergence Signal Processing
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• 2000.08a
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• pp.29-32
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• 2000

본 논문에서는 미지의 반송파주파수를 가진 협대역 신호의 존재를 광대역에서 검출하는 문제를 고려하였다. DFT 전력 스펙트럼을 평균화하여 주파수 영역에서 Neyman-Pearson criterion을 사용하여 신호를 검출하는 방법을 사용하였다. 평균화된 DFT 스펙트럼의 통계적 특성과 검출 threshold 및 검출 확률을 분석하여 보았다.

• Journal of Oral Medicine and Pain
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• v.26 no.3
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• pp.261-276
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• 2001

본 연구는 구강안면동통 중에서 빈번히 나타나는 근육성 동통의 주 원인인 저작근의 과활성으로 유발된 근육의 피로 시에 운동단위전위, 압력통각역치, 근전도 power spectrum의 변화 양상과 이들 척도간의 연관성을 조사하기 위해 시행되었다. 두개하악장애의 병력 및 현증이 없고 정상적인 구치부 교합관계를 가진 평균연령 25.8세인 36명의 정상 성인(남자 26명, 여자 10명)을 대상으로 교근과 전측두근의 지속적인 등길이 수축 전후의 압력통각역치 및 운동단위전위를 측정하였고 인내시간까지의 근수축 동안 근전도 power spectrum을 분석하여 다음과 같은 결론을 얻었다. 1. 지속적인 등길이 수축 후 교근과 전측두근의 압력통각역치는 수축 전에 비해 유의하게 감소하였다. 2. 압력통각역치는 수축 전과 수축 후 모두에서 전측두근이 교근보다 유의하게 높게 나타났으며, 전체적으로 남성이 여성보다 높게 나타나는 양상을 보였으나 성별간의 차이는 전측두근의 수축 후 압력통각역치에서만 통계적으로 유의하게 나타났다. 3. 지속적인 등길이 수축말기의 중간주파수는 수축초기에 비하여 유의하게 감소하였고, 전측두근의 수축초기 중간주파수와 수축말기 중간주파수 모두 교근보다 유의하게 높게 나타났다. 4. 교근은 지속적인 등길이 수축 전에 비하여 수축 후의 운동단위전위의 지속시간,진폭, 면적, 상의 4가지 척도에서 유의한 증가를 보였고 전측두근은 진폭을 제외한 나머지 3가지 척도, 즉 지속시간, 면적, 상의 유의한 증가를 보였다. 5. 교근과 전측두근의 지속적인 등길이 수축 전의 압력통각역치와 운동단위전위 척도 사이에는 통계적으로 유의한 상관관계가 없었고 교근에서는 수축 후의 압력통각역치와 운동단위전위의 지속시간, 진폭, 면적, 상 사이에 유의한 상관관계가 존재하였다. 위의 실험결과를 통해 근육피로 검사에 압력통각역치, 근전도 power spectrum 검사 외에 근육수축의 기능적 최소 단위인 운동단위전위의 분석 또한 유용할 수 있고 추후 만성으로 진행된 근막동통환자와 정상 대조군간의 운동단위 수준에서의 비교연구와 근피로에 더욱 민감한 운동단위전위의 다른 척도에 대한 개발과 연구가 필요하다고 사료된다.

• Journal of Oral Medicine and Pain
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• v.39 no.4
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• pp.146-151
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• 2014

Purpose: To determine whether a fatiguing clench significantly affects the changes in pressure pain threshold (PPT) in men compared to women. Methods: The changes of PPTs from before to after a sustained clench in 12 men and 12 women were obtained. We used a decrease in median frequencies of surface electromyography (EMG) power spectra from the start to the end of the sustained clench as evidence of fatigue. Endurance time for the clench was used as a covariate. Results: The median frequencies decreased after the clench in both the anterior temporalis and masseter muscles, did not differ with the muscle or the gender of the subjects, and none of the interaction terms were significant. The PPTs were lower for women for both muscles, were decreased after the sustained clench, but failed to show the hypothesized gender by time interaction. Conclusions: Our results show that women have lower PPTs than men, but do not respond differently than men to jaw muscle fatigue.