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REFERENCE LINKING PLATFORM OF KOREA S&T JOURNALS
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Journal of the Institute of Electronics and Information Engineers
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The Institute of Electronics Engineers of Korea
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Volume & Issues
Volume 53, Issue 9 - Sep 2016
Volume 53, Issue 8 - Aug 2016
Volume 53, Issue 7 - Jul 2016
Volume 53, Issue 6 - Jun 2016
Volume 53, Issue 5 - May 2016
Volume 53, Issue 4 - Apr 2016
Volume 53, Issue 3 - Mar 2016
Volume 53, Issue 2 - Feb 2016
Volume 53, Issue 1 - Jan 2016
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An Analysis on the Effects of Inter-Device Interference in the ORC-OQ
PSK Based Wireless Personal Area Networks
Jeon, Sang Yeop ; Kim, Myoung Jin ;
Journal of the Institute of Electronics and Information Engineers, volume 53, issue 3, 2016, Pages 3~10
DOI : 10.5573/ieie.2016.53.3.003
To establish a network environment where multiple wireless personal area networks(WPAN) are simultaneously operating in the same area, we need to consider the effects of inter-device interference. The extent of interference effect from neighboring frequency channel interferer may be different depending on the modulation types that are used for constructing the wireless network. If a modulation scheme with high spectral side lobes is used, the spatial separation between devices plays a major role in determining the amount of interference from neighboring frequency channel interferer. In this paper, we investigate the effect of inter-device interference in the overlapped raised cosine offset quadrature-quadrature phase shift keying (ORC-
) modulation based WPAN. By comparing the results with those of GFSK modulation based WPAN, we verify the feasibility of ORC-
FFT-based Channel Estimation Scheme in LTE-A Downlink System
Moon, Sangmi ; Chu, Myeonghun ; Kim, Hanjong ; Kim, Daejin ; Hwang, Intae ;
Journal of the Institute of Electronics and Information Engineers, volume 53, issue 3, 2016, Pages 11~20
DOI : 10.5573/ieie.2016.53.3.011
In this paper, we propose the channel estimation scheme for Long Term Evolution-Advanced (LTE-A) downlink system. The proposed scheme uses the fast fourier transform (FFT) interpolation scheme for the user moving at a high speed. The FFT interpolation scheme converts the channel frequency response obtained from least square (LS) or minimum mean square error (MMSE) channel estimation scheme to time domain channel impulse response by taking the inverse FFT (IFFT). After windowing the channel response in the time domain, we can obtain the channel frequency response by taking the FFT. We perform the system level simulation based on 20MHz bandwidth of 3GPP LTE-A downlink system. Simulation results show that the proposed channel estimation scheme can improve signal-to-noise-plus-interference ratio (SINR), throughput, and spectral efficiency of conventional system.
An Adaptive Differential Equal Gain Transmission Technique using M-PSK Constellations
Kim, Young-Ju ; Seo, Chang-Won ;
Journal of the Institute of Electronics and Information Engineers, volume 53, issue 3, 2016, Pages 21~28
DOI : 10.5573/ieie.2016.53.3.021
We propose an adaptive scheme of a differential codebook for temporally correlated channels. And the codeword entries of the propose codebook are selected among the set of M-PSK constellations - the values of M proposed in this paper are 8, 16, or 32. Firstly, we analyze mathematically how the optimal spherical cap radius of the proposed codebook is tracked. Then, we explain the practical implementation of the proposed adaptive method. Practically, some candidate differential codebooks we propose in this paper can be switched according to the temporal correlation coefficients of wireless channels in the proposed scheme. Monte-Carlo simulations demonstrate that the achievable throughput performance employing the proposed codebook is always superior to those of the differential codebooks employing M-PSK constellations and non-adaptive differential codebooks with the same amount of feedback information.
Method of Changing Password for Secure Cloud Storage based on Proxy Re-encryption Scheme
Park, Young-Hoon ; Seo, Seung-Woo ;
Journal of the Institute of Electronics and Information Engineers, volume 53, issue 3, 2016, Pages 29~36
DOI : 10.5573/ieie.2016.53.3.029
In cloud storages, as security of stored files and privacy of users become regarded as important concerns, secure cloud storages have been proposed, where stored files are encrypted with file owner`s password and even the cloud service provider can not open the file contents. However, if the file owner forgets one`s password, one can no longer access the file. To solve this problem, we propose a scheme for changing password for the secure cloud based on proxy re-encryption, which make the file owner enable to change password even when one forgets it. With the proposed scheme, only the file owner can change the password and re-encrypt the files securely because other user and even the service provider can not see the file contents.
Process Modeling of Germanium Condensation and Application to Nanowire PMOSFET
Yun, Mina ; Cho, Seongjae ;
Journal of the Institute of Electronics and Information Engineers, volume 53, issue 3, 2016, Pages 39~45
DOI : 10.5573/ieie.2016.53.3.039
In this paper, prcess modeling of germanium condensation has been performed and a germanium PMOSFET having nanowire channel implented by the condensation process has been designed and characterized by device simulations. Based on the previous experimental results, our modeling results demonstrate that the ratio of germanium concentration at the silicon germanium-silicon dioxide interface (
) to that in the bulk region (
) which are obtainable during the germanium condensation is approximately 4.03 and the effective diffusion coefficient (
) of germanium atom is
. Furthermore, a germanium nanowire-channel PMOSFET having the ultra-thin germanium channel on the silicon core that can be fabricated by the germanium condensation has been designed and characterized. As the result, it is confirmed that the proposed device having the coaxial nanowire consisting of silicon core and germanium channel might have superior performances over the device with either all-silicon or all-germanium channel.
A 13b 100MS/s 0.70㎟ 45nm CMOS ADC for IF-Domain Signal Processing Systems
Park, Jun-Sang ; An, Tai-Ji ; Ahn, Gil-Cho ; Lee, Mun-Kyo ; Go, Min-Ho ; Lee, Seung-Hoon ;
Journal of the Institute of Electronics and Information Engineers, volume 53, issue 3, 2016, Pages 46~55
DOI : 10.5573/ieie.2016.53.3.046
This work proposes a 13b 100MS/s 45nm CMOS ADC with a high dynamic performance for IF-domain high-speed signal processing systems based on a four-step pipeline architecture to optimize operating specifications. The SHA employs a wideband high-speed sampling network properly to process high-frequency input signals exceeding a sampling frequency. The SHA and MDACs adopt a two-stage amplifier with a gain-boosting technique to obtain the required high DC gain and the wide signal-swing range, while the amplifier and bias circuits use the same unit-size devices repeatedly to minimize device mismatch. Furthermore, a separate analog power supply voltage for on-chip current and voltage references minimizes performance degradation caused by the undesired noise and interference from adjacent functional blocks during high-speed operation. The proposed ADC occupies an active die area of
, based on various process-insensitive layout techniques to minimize the physical process imperfection effects. The prototype ADC in a 45nm CMOS demonstrates a measured DNL and INL within 0.77LSB and 1.57LSB, with a maximum SNDR and SFDR of 64.2dB and 78.4dB at 100MS/s, respectively. The ADC is implemented with long-channel devices rather than minimum channel-length devices available in this CMOS technology to process a wide input range of
for the required system and to obtain a high dynamic performance at IF-domain input signal bands. The ADC consumes 425.0mW with a single analog voltage of 2.5V and two digital voltages of 2.5V and 1.1V.
A Comparative Experiment on Dimensional Reduction Methods Applicable for Dissimilarity-Based Classifications
Kim, Sang-Woon ;
Journal of the Institute of Electronics and Information Engineers, volume 53, issue 3, 2016, Pages 59~66
DOI : 10.5573/ieie.2016.53.3.059
This paper presents an empirical evaluation on dimensionality reduction strategies by which dissimilarity-based classifications (DBC) can be implemented efficiently. In DBC, classification is not based on feature measurements of individual objects (a set of attributes), but rather on a suitable dissimilarity measure among the individual objects (pair-wise object comparisons). One problem of DBC is the high dimensionality of the dissimilarity space when a lots of objects are treated. To address this issue, two kinds of solutions have been proposed in the literature: prototype selection (PS)-based methods and dimension reduction (DR)-based methods. In this paper, instead of utilizing the PS-based or DR-based methods, a way of performing DBC in Eigen spaces (ES) is considered and empirically compared. In ES-based DBC, classifications are performed as follows: first, a set of principal eigenvectors is extracted from the training data set using a principal component analysis; second, an Eigen space is expanded using a subset of the extracted and selected Eigen vectors; third, after measuring distances among the projected objects in the Eigen space using
-norms as the dissimilarity, classification is performed. The experimental results, which are obtained using the nearest neighbor rule with artificial and real-life benchmark data sets, demonstrate that when the dimensionality of the Eigen spaces has been selected appropriately, compared to the PS-based and DR-based methods, the performance of the ES-based DBC can be improved in terms of the classification accuracy.
Adaptive Evolution of Behavioral Memory Circuits in Evolution of Artificial Individuals
Jung, Bo-Sun ; Jung, Sung Hoon ;
Journal of the Institute of Electronics and Information Engineers, volume 53, issue 3, 2016, Pages 67~75
DOI : 10.5573/ieie.2016.53.3.067
This paper investigates how artificial individuals with behavioral memory circuits adaptively evolve with respect to given environments on a cell-level simulation framework simulating artificial individuals. This makes it possible for us to analyse the advantages of artificial individuals with behavioral memory circuits against the simple artificial individuals that can do only simple reactions with respect to the environments and to know which advanced reactions are possible. In order to do this analysis, we experimented various tests on a specific prey pattern and examined the results. As a first experiment, we tested that artificial individuals with four memory steps competed against from those without memory step to those with three memory steps. Experimental results showed that the artificial individuals with four memory steps were superior to most others. However, artificial individuals with two memory steps were better than those with four memory steps. This was caused that the artificial individuals with two memory steps could evolve faster than those of four memory steps. In a second experiment that all types of artificial individuals are simultaneously evolved, the artificial individuals with two memory steps also showed the best result in the experiment. We could conclude that the artificial individuals with memory was better than those without memory and the best memory steps of artificial individuals were depended on the complexity of prey patterns.
Common Services Platform for M2M Supporting Security Standards
Vakkosov, Sardorjon ; Namgung, Jung-Il ; Park, Soo-Hyun ;
Journal of the Institute of Electronics and Information Engineers, volume 53, issue 3, 2016, Pages 76~88
DOI : 10.5573/ieie.2016.53.3.076
Machine to Machine (M2M) is a technology that presents communication between two or more devices with or without human intervention. M2M communications can be applied for various use cases such as environmental monitoring, health care, smart metering and etc. In most use cases, M2M utilizes sensor nodes to collect data from the intended environment and the data is transmitted back to M2M application through other devices (gateways, sink nodes). In some use cases, M2M devices are being designed to store and process sensor data for improving the reliability of the service; Gateways and sink nodes are also intended to store and process the gathered data from sensor nodes. This kind of approach is very challenging for both academy and industry. In order to enhance the performance of this approach, in this paper, we propose our Common Service Security Platform (CSSP) for M2M devices and gateways. CSSP platform presents solutions for the devices and gateways by making them operate more accurately and efficiently. Besides, we present a comparative analysis of communication protocols and present their performance in accordance with selected metrics.
Identification of Underwater Objects using Sonar Image
Kang, Hyunchul ;
Journal of the Institute of Electronics and Information Engineers, volume 53, issue 3, 2016, Pages 91~98
DOI : 10.5573/ieie.2016.53.3.091
Detection and classification of underwater objects in sonar imagery are challenging problems. This paper proposes a system that detects and identifies underwater objects at the sea floor level using a sonar image and image processing techniques. The identification process of underwater objects consists of two steps; detection of candidate regions and identification of underwater objects. The candidate regions of underwater objects are extracted by image registration through the detection of common feature points between the reference background image and the current scanning image. And then, underwater objects are identified as the closest pattern within the database using eigenvectors and eigenvalues as features. The proposed system is expected to be used in efficient securement of Q route in vessel navigation.
Missing Data Correction and Noise Level Estimation of Observation Matrix
Koh, Sung-shik ;
Journal of the Institute of Electronics and Information Engineers, volume 53, issue 3, 2016, Pages 99~106
DOI : 10.5573/ieie.2016.53.3.099
In this paper, we will discuss about correction method of missing data on noisy observation matrix and uncertainty analysis for the potential noise. In situations without missing data in an observation matrix, this solution is known to be accurately induced by SVD (Singular Value Decomposition). However, usually the several entries of observation matrix have not been observed and other entries have been perturbed by the influence of noise. In this case, it is difficult to find the solution as well as cause the 3D reconstruction error. Therefore, in order to minimize the 3D reconstruction error, above all things, it is necessary to correct reliably the missing data under noise distribution and to give a quantitative evaluation for the corrected results. This paper focuses on a method for correcting missing data using geometrical properties between 2D projected object and 3D reconstructed shape and for estimating a noise level of the observation matrix using ranks of SVD in order to quantitatively evaluate the performance of the correction algorithm.
Visual Comfort Enhancement of Auto-stereoscopic 3D Display using the Characteristic of Disparity Distribution
Kim, Donghyun ; Sohn, Kwanghoon ;
Journal of the Institute of Electronics and Information Engineers, volume 53, issue 3, 2016, Pages 107~113
DOI : 10.5573/ieie.2016.53.3.107
Visual discomfort is a common problem in three-dimensional videos. Among the methods to overcome visual discomfort presented in current research, disparity adjustment methods provide little guidance in determining the condition for disparity control. We propose a diaprity adjustment based on the characteristics of disparity distribution on visual comfort, where the visual comfort level is used as the adjustment paramter, in parallax barrier type auto-stereoscopic 3D display. In this paper, we use the horizontal image shift method for disparity adjustment to enhance visual comfort. The speeded-up robust feature is used to estimate the disparity distribution of 3D sequences, and the required amount for disparity control is chosen based on the pre-defined characteristics of disparity distribution on visual comfort. To evaluate the performance of the proposed method, we used a 3D equipment. Subjective tests were conducted at the fixed optimal viewing distance. The results show that comfortable videos were generated based on the proposed disparity adjustment method.
Feature Extraction Algorithm for Distant Unmmaned Aerial Vehicle Detection
Kim, Juho ; Lee, Kibae ; Bae, Jinho ; Lee, Chong Hyun ;
Journal of the Institute of Electronics and Information Engineers, volume 53, issue 3, 2016, Pages 114~123
DOI : 10.5573/ieie.2016.53.3.114
The effective feature extraction method for unmanned aerial vehicle (UAV) detection is proposed and verified in this paper. The UAV engine sound is harmonic complex tone whose frequency ratio is integer and its variation is continuous in time. Using these characteristic, we propose the feature vector composed of a mean and standard deviation of difference value between fundamental frequency with 1st overtone as well as mean variation of their frequency. It was revealed by simulation that the suggested feature vector has excellent discrimination in target signal identification from various interfering signals including frequency variation with time. By comparing Fisher scores, three features based on frequency show outstanding discrimination of measured UAV signals with low signal to noise ratio (SNR). Detection performance with simulated interference signal is compared by MFCC by using ELM classifier and the suggested feature vector shows 37.6% of performance improvement As the SNR increases with time, the proposed feature can detect the target signal ahead of MFCC that needs 4.5 dB higher signal power to detect the target.
Automatic Selection of Optimal Parameter for Baseline Correction using Asymmetrically Reweighted Penalized Least Squares
Park, Aaron ; Baek, Sung-June ; Park, Jun-Qyu ; Seo, Yu-Gyung ; Won, Yonggwan ;
Journal of the Institute of Electronics and Information Engineers, volume 53, issue 3, 2016, Pages 124~131
DOI : 10.5573/ieie.2016.53.3.124
Baseline correction is very important due to influence on performance of spectral analysis in application of spectroscopy. Baseline is often estimated by parameter selection using visual inspection on analyte spectrum. It is a highly subjective procedure and can be tedious work especially with a large number of data. For these reasons, it is an objective and automatic procedure is necessary to select optimal parameter value for baseline correction. Asymmetrically reweighted penalized least squares (arPLS) based on penalized least squares was proposed for baseline correction in our previous study. The method uses a new weighting scheme based on the generalized logistic function. In this study, we present an automatic selection of optimal parameter for baseline correction using arPLS. The method computes fitness and smoothness values of fitted baseline within available range of parameters and then selects optimal parameter when the sum of normalized fitness and smoothness gets minimum. According to the experimental results using simulated data with varying baselines, sloping, curved and doubly curved baseline, and real Raman spectra, we confirmed that the proposed method can be effectively applied to optimal parameter selection for baseline correction using arPLS.
Design of the Optimal Phase for the Interpolant Filter in the Second-order Bandpass Sampling System
Baek, Jein ;
Journal of the Institute of Electronics and Information Engineers, volume 53, issue 3, 2016, Pages 132~139
DOI : 10.5573/ieie.2016.53.3.132
In the bandpass sampling(BPS), the sampling frequency for the analog-to-digital converter is lower than that of the signal to be sampled. Since the BPS operation results in the signal spectrum to be copied on the baseband, it is possible for the frequency down-converter to be conveniently omitted. The second-order BPS system is introduced in order to cancel the aliased interference components from the BPS output that may be generated by the BPS processing. In this paper, we introduce a design method for the optimal phase of the interpolant filter in the second-order BPS system which enables to maximally cancel the aliased components. Being mathematically derived, this method can always be applied independently to the spectral characteristics of the BPS input signal. The performance improvements by the suggested method has been measured statistically with various power spectra of the received signal, and it has been shown that the maximal amount of the improvements reaches up to 5~20 [dB] in comparison with the previous suboptimal algorithm.
Monophthong Recognition Optimizing Muscle Mixing Based on Facial Surface EMG Signals
Lee, Byeong-Hyeon ; Ryu, Jae-Hwan ; Lee, Mi-Ran ; Kim, Deok-Hwan ;
Journal of the Institute of Electronics and Information Engineers, volume 53, issue 3, 2016, Pages 143~150
DOI : 10.5573/ieie.2016.53.3.143
In this paper, we propose Korean monophthong recognition method optimizing muscle mixing based on facial surface EMG signals. We observed that EMG signal patterns and muscle activity may vary according to Korean monophthong pronunciation. We use RMS, VAR, MMAV1, MMAV2 which were shown high recognition accuracy in previous study and Cepstral Coefficients as feature extraction algorithm. And we classify Korean monophthong by QDA(Quadratic Discriminant Analysis) and HMM(Hidden Markov Model). Muscle mixing optimized using input data in training phase, optimized result is applied in recognition phase. Then New data are input, finally Korean monophthong are recognized. Experimental results show that the average recognition accuracy is 85.7% in QDA, 75.1% in HMM.
Optimization of Flip Angle at Head & Neck MR Angiography using Gadoteridol
Jeong, Hyunkeun ; Kim, Mingi ; Song, Jaejun ; Nam, Kichang ; Choi, Hyunsung ; Jeong, Hyundo ; Kim, Hochul ;
Journal of the Institute of Electronics and Information Engineers, volume 53, issue 3, 2016, Pages 151~159
DOI : 10.5573/ieie.2016.53.3.151
In this research, we tried to suggest moderate FA(Flip Angle) for CE(Contrast Enhnaced)-Head&Neck MR Angiography with Gadoteridol. For this study, we did test MR phantom and clinical study according to FA change. After that, quantitative analysis was progressed. The results of MR phantom study were as follow: RSP(Reaction Starting Point)was recorded within 300~400 mmol. MPSI(Max Peak Signal Intensity) was 2,086, 3,705, 5,109, 6,194, 7.096, 7,192 [a.u]. MPP(Max Peak Point) was shown at 30, 50, 50, 40, 50, 40 mmol. IRMPSI(Increase Rate of MPSI) was 77.6%, 37.9%, 21.2%, 14.6%, 1.4% as increasing of FA. The results of clinical study were as follow SICB(Signal Intensity of Carotid artery Bifurcation) was recorded respectively 392.5, 4165.2, 4270, 3502.2, 3263.7, 3119.6 [a.u]. ORA(Occurence Rate of Artifact) was increased as 0, 0, 20, 40, 50, 70%. According to this research, we are not only able to assure that increase of FA can be effect on H1 spin`s SI(Signal Intensity) which was combined with gadolinium agent, but also be effect on artifact rate in blood vessel. In clinical field, we expect that CE-Head&Neck MR Angiography can be performed in a practical way with this research.
A Study on Energy Efficiency for Cluster-based Routing Protocol
Lee, Won-Seok ; Ahn, Tae-Won ; Song, ChangYoung ;
Journal of the Institute of Electronics and Information Engineers, volume 53, issue 3, 2016, Pages 163~169
DOI : 10.5573/ieie.2016.53.3.163
To establish the equitable distribution of total energy load, a representative cluster based routing protocol LEACH selects cluster heads randomly in accordance with the pre-determined probability every round. But because the current energy level of sensor nodes is not considered, if a sensor node which has little residual energy is elected as a cluster head, it can not live to fulfil the role of cluster head which has big energy load. As a result, the first time of death of a node is quickened and the service quality of WSN gets worse. In this regard we propose a new routing method that, by considering the current energy of a cluster head and the distance between cluster heads and a base station, selects the sub cluster head for saving the energy of a cluster head. Simulation results show that the first time of death of a node prolongs, more data arrive at the base station and the service quality of WSN improves.