Go to the main menu
Skip to content
Go to bottom
REFERENCE LINKING PLATFORM OF KOREA S&T JOURNALS
> Journal Vol & Issue
Journal of the Institute of Electronics and Information Engineers
Journal Basic Information
Journal DOI :
The Institute of Electronics Engineers of Korea
Editor in Chief :
Volume & Issues
Volume 52, Issue 12 - Dec 2015
Volume 52, Issue 11 - Nov 2015
Volume 52, Issue 10 - Oct 2015
Volume 52, Issue 9 - Sep 2015
Volume 52, Issue 8 - Aug 2015
Volume 52, Issue 7 - Jul 2015
Volume 52, Issue 6 - Jun 2015
Volume 52, Issue 5 - May 2015
Volume 52, Issue 4 - Apr 2015
Volume 52, Issue 3 - Mar 2015
Volume 52, Issue 2 - Feb 2015
Volume 52, Issue 1 - Jan 2015
Selecting the target year
On the Construction of Polar Codes for Rate Adaptive Distributed Source Coding
Kim, Jaeyoel ; Kim, Jong-Hwan ; Trang, Vu Thi Thuy ; Kim, Sang-Hyo ;
Journal of the Institute of Electronics and Information Engineers, volume 52, issue 10, 2015, Pages 3~10
DOI : 10.5573/ieie.2015.52.10.003
Application of polar codes to rate-adaptive asymmetric Slepian-Wolf coding is considered. We propose a method of constructing polar codes which supports rate adaptivity. The proposed polar distributed source coding with successive cancellation list decoding performs closer to the Slepian-Wolf bound than the low density parity check accumulate (LDPCA) codes in the same framework.
Performance of the Code Rate 1/2 Modulation Codes According to Minimum Distance on the Holographic Data Storage
Jeong, Seongkwon ; Lee, Jaejin ;
Journal of the Institute of Electronics and Information Engineers, volume 52, issue 10, 2015, Pages 11~15
DOI : 10.5573/ieie.2015.52.10.011
In this paper, we introduce three modulation codes of the code rate 1/2 with different minimum distances, respectively, and investigate the performance of the codes according to the minimum distance. We simulate the codes in accordance with blur and misalignment. As the minimum distance increases, the complexity of encoder and decoder also grows. However, it can improve the error correcting capability and shows good performance with blur and misalignment.
Performance Analysis of Holographic Data Storage Depending on the Number of Levels Per Pixel of the Code Rate 1/2 Modulation Codes
Jeong, Seongkwon ; Lee, Jaejin ;
Journal of the Institute of Electronics and Information Engineers, volume 52, issue 10, 2015, Pages 16~20
DOI : 10.5573/ieie.2015.52.10.016
We propose three multi-level modulation codes of the code rate 1/2 for holographic data storage considered as a promising candidate for next generation storage systems. Since a pixel with multi-levels can represent more than 1 bit, it is possible to increase the storage capacity and have many codewords. Thus, we can choose a code that the minimum distance is as far as possible. When we compare the codes with the code rate 1/2, the performance of the code with small number of levels is better than that of large number of levels.
Analysis of Network Topology for Distributed Control System in Railroad Trains
Hwang, Hwanwoong ; Kim, Jungtai ; Lee, Kang-Won ; Yun, Ji-Hoon ;
Journal of the Institute of Electronics and Information Engineers, volume 52, issue 10, 2015, Pages 21~29
DOI : 10.5573/ieie.2015.52.10.021
For higher reliability against component failures in railroad trains with many electronic sensors and actuators, a distributed control system with which all electronic components are connected via a network is being considered. This paper compares and analyzes various topologies of Ethernet network for a railroad train in the aspects of (1) failure recovery, (2) the number of ports per device, (3) the number of cable connections between vehicles, and (4) performance. Especially, the unique characteristic of a train system that the number of vehicles changes is considered through analysis. Various combinations of in- and inter-vehicle topologies are considered. In addition, we introduce a hybrid of star and daisy-chain topology for inter-vehicle connection when the maximum number of inter-vehicle connections is limited to reduce possible failures of inter-vehicle connections. Simulation results show performance comparison between different topology combinations; the hybrid topology is shown to enhance delay performance even with a highly limited number of inter-vehicle connections.
Circuit Performance Prediction of Scaled FinFET Following ITRS Roadmap based on Accurate Parasitic Compact Model
Choe, KyeungKeun ; Kwon, Kee-Won ; Kim, SoYoung ;
Journal of the Institute of Electronics and Information Engineers, volume 52, issue 10, 2015, Pages 33~46
DOI : 10.5573/ieie.2015.52.10.033
In this paper, we predicts the analog and digital circuit performance of FinFETs that are scaled down following the ITRS(International technology roadmap for semiconductors). For accurate prediction of the circuit performance of scaled down devices, accurate parasitic resistance and capacitance analytical models are developed and their accuracies are within 2 % compared to 3D TCAD simulation results. The parasitic capacitance models are developed using conformal mapping, and the parasitic resistance models are enhanced to include the fin extension length(
) with respect to the default parasitic resistance model of BSIM-CMG. A new algorithm is developed to fit the DC characteristics of BSIM-CMG to the reference DC data. The proposed capacitance and resistance models are implemented inside BSIM-CMG to replace the default parasitic model, and SPICE simulations are performed to predict circuit performances such as
, ring oscillators and common source amplifier. Using the proposed parasitic capacitance and resistance model, the device and circuit performances are quantitatively predicted down to 5 nm FinFET transistors. As the FinFET technology scales, due to the improvement in both DC characteristics and the parasitic elements, the circuit performance will improve.
Design of Defect Diagnosis Platform based on CAN Network for Reliability Improvement of Vehicle SoC
Hwang, Doyeon ; Kim, Dooyoung ; Park, Sungju ;
Journal of the Institute of Electronics and Information Engineers, volume 52, issue 10, 2015, Pages 47~55
DOI : 10.5573/ieie.2015.52.10.047
To verify the function of vehicle is becoming more and more difficult because many electronic control units have been embedded in vehicle with development of electronics industry. The reliability of vehicle should be considered above all important because malfunction of vehicle can cause damage of human life. In this paper, defect diagnosis platform based on CAN network is proposed to improve the reliability of vehicle. Reliability of vehicle is significantly increased by adopting the structural test via dedicated test path after manufacturing. Besides, the test cost is reduced because additional test pins are not required.
High-level Power Modeling of Clock Gated Circuits
Kim, Jonggyu ; Yi, Joonhwan ;
Journal of the Institute of Electronics and Information Engineers, volume 52, issue 10, 2015, Pages 56~63
DOI : 10.5573/ieie.2015.52.10.056
Not only performance analysis but also power analysis at early design stages is important in designing a system-on-chip. We propose a power modeling based on clock gating enable signals that enables accurate power analysis at a high-level. Power state is defined as combinations of the values of the clock gating enable signals and we can extract the clock gating enable signals to generate the power model automatically. Experimental results show that the average power accuracy is about 96% and the speed gain of power analysis at the high-level power is about 280 times compared to that at the gate-level.
Dynamic Self-Heating Effects of Bulk and SOI FinFET with Realistic Device Structure
Ryu, Heesang ; Chung, Hayun Cecillia ; Yang, Ji-Woon ;
Journal of the Institute of Electronics and Information Engineers, volume 52, issue 10, 2015, Pages 64~69
DOI : 10.5573/ieie.2015.52.10.064
Self-heating effects of bulk and SOI FinFETs on device structure are examined with TCAD simulation. The degradation of drive current in SOI FinFET is severer than that of bulk one in steady-state condition as expected. However, it is shown that the dynamic self-heating effects of SOI FinFETs are comparable to those of bulk FinFETs for high speed logic operation, especially in realistic device structure.
Nearest-neighbor Rule based Prototype Selection Method and Performance Evaluation using Bias-Variance Analysis
Shim, Se-Yong ; Hwang, Doo-Sung ;
Journal of the Institute of Electronics and Information Engineers, volume 52, issue 10, 2015, Pages 73~81
DOI : 10.5573/ieie.2015.52.10.073
The paper proposes a prototype selection method and evaluates the generalization performance of standard algorithms and prototype based classification learning. The proposed prototype classifier defines multidimensional spheres with variable radii within class areas and generates a small set of training data. The nearest-neighbor classifier uses the new training set for predicting the class of test data. By decomposing bias and variance of the mean expected error value, we compare the generalization errors of k-nearest neighbor, Bayesian classifier, prototype selection using fixed radius and the proposed prototype selection method. In experiments, the bias-variance changing trends of the proposed prototype classifier are similar to those of nearest neighbor classifiers with all training data and the prototype selection rates are under 27.0% on average.
Instructions and Data Prefetch Mechanism using Displacement History Buffer
Jeong, Yong Su ; Kim, JinHyuk ; Cho, Tae Hwan ; Choi, SangBang ;
Journal of the Institute of Electronics and Information Engineers, volume 52, issue 10, 2015, Pages 82~94
DOI : 10.5573/ieie.2015.52.10.082
In this paper, we propose hardware prefetch mechanism with an efficient cache replacement policy by giving priority to the trigger block in which a spatial region and producing a spatial region by using the displacement field. It could be taken into account the sequence of the program since a history is based on the trigger block of history record, and it could be quickly prefetching the instructions or data address by adding a stored value to the trigger address and displacement field since a history is stored as a displacement value. Also, we proposed a method of replacing at random by the cache replacement policy from the low priority block when the cache area is full after giving priority to the trigger block. We analyzed using the memory simulator program gem5 and PARSEC benchmark to assess the performance of the hardware prefetcher. As a result, compared to the existing hardware prefecture to generate the spatial region using a bit vector, L1 data cache miss rate was reduced about 44.5% on average and an average of 26.1% of L1 instruction misses occur. In addition, IPC (Instruction Per Cycle) showed an improvement of about 23.7% on average.
Image Quality Enhancement for Chest X-ray images
Park, So Yeon ; Song, Byung Cheol ;
Journal of the Institute of Electronics and Information Engineers, volume 52, issue 10, 2015, Pages 97~107
DOI : 10.5573/ieie.2015.52.10.097
The initial X-ray images obtained from a digital X-ray machine have a wide data range and uneven brightness level than normal images. In particular, in Chest X-ray images, it is necessary to improve naturally all of the parts such as ribs, spine, tissue, etc. These X-ray images can not be improved enough from conventional image quality enhancement algorithms because their characteristics are different from ordinary images'. This paper proposes to eliminate unnecessary background from an input image and expand the histogram range of the image. Then, we adjust the weight per frequency band of the image for improvement of contrast and sharpness. Finally, jointly taking the advantages of global contrast enhancement and local contrast enhancement methods we obtain an improved X-ray image suitable for effective diagnosis in comparison with the existing methods. Experimental results show quantitatively that the proposed algorithm provides better X-ray images in terms of the discrete entropy and saturation than the previous works.
Block-based Contrast Enhancement Algorithm for X-ray Images
Choi, Kwang Yeon ; Song, Byung Cheol ;
Journal of the Institute of Electronics and Information Engineers, volume 52, issue 10, 2015, Pages 108~117
DOI : 10.5573/ieie.2015.52.10.108
If typical contrast enhancement algorithms for natural images are applied to X-ray images, they may cause artifacts such as overshooting or produce unnatural visual quality because they do not consider inherent characteristics of X-ray images. In order to overcome such problems, we propose a locally adaptive block-based contrast enhancement algorithm for X-ray images. After we derive a weighted cumulative distribution function for each block, we apply it to each block for contrast enhancement. Then, we obtain images that are removed from block effect by adopting block-based overlapping. In post-processing, we obtain the final image by emphasizing high frequency components. Experimental results show that the proposed block-based contrast enhancement algorithm provides at maximum 5-times higher visual quality than the exiting algorithm in terms of quantitative contrast metric.
Spatially Scalable Kronecker Compressive Sensing of Still Images
Nguyen, Canh Thuong ; Jeon, Byeungwoo ;
Journal of the Institute of Electronics and Information Engineers, volume 52, issue 10, 2015, Pages 118~128
DOI : 10.5573/ieie.2015.52.10.118
Compressive sensing (CS) has to face with two challenges of computational complexity reconstruction and low coding efficiency. As a solution, this paper presents a novel spatially scalable Kronecker two layer compressive sensing framework which facilitates reconstruction up to three spatial resolutions as well as much improved CS coding performance. We propose a dual-resolution sensing matrix based on the quincunx sampling grid which is applied to the base layer. This sensing matrix can provide a fast-preview of low resolution image at encoder side which is utilized for predictive coding. The enhancement layer is encoded as the residual measurement between the acquired measurement and predicted measurement data. The low resolution reconstruction is obtained from the base layer only while the high resolution image is jointly reconstructed using both two layers. Experimental results validate that the proposed scheme outperforms both conventional single layer and previous multi-resolution schemes especially at high bitrate like 2.0 bpp by 5.75dB and 5.05dB PSNR gain on average, respectively.
A Robust Hybrid Method for Face Recognition Under Illumination Variation
Choi, Sang-Il ;
Journal of the Institute of Electronics and Information Engineers, volume 52, issue 10, 2015, Pages 129~136
DOI : 10.5573/ieie.2015.52.10.129
We propose a hybrid face recognition to deal with illumination variation. For this, we extract discriminant features by using the different illumination invariant feature extraction methods. In order to utilize both advantages of each method, we evaluate the discriminant power of each feature by using the discriminant distance and then construct a composite feature with only the features that contain a large amount of discriminative information. The experimental results for the Multi-PIE, Yale B, AR and yale databases show that the proposed method outperforms an individual illumination invariant feature extraction method for all the databases.
Frequency Recognition in SSVEP-based BCI systems With a Combination of CCA and PSDA
Lee, Ju-Yeong ; Lee, Yu-Ri ; Kim, Hyoung-Nam ;
Journal of the Institute of Electronics and Information Engineers, volume 52, issue 10, 2015, Pages 139~147
DOI : 10.5573/ieie.2015.52.10.139
Steady state visual evoked potential (SSVEP) has been actively studied because of its short training time, relatively higher signal-to-noise ratio, and higher information transfer rate. There are two popular analysis methods for SSVEP signals: power spectral density analysis (PSDA) and canonical correlation analysis (CCA). However, the PSDA is known to be vulnerable to noise due to the use of a single channel. Although conventional CCA is more accurate than PSDA, it may not be appropriate for the real-time SSVEP-based BCI system when it has short time window length because it uses sinusoidal signals as references. Therefore, the two methods are not efficient for the real-time BCI system that requires a short TW and a high recognition accuracy. To overcome this limitation of the conventional methods, this paper proposes a frequency recognition method with a combination of CCA and PSDA using the difference between powers of canonical variables obtained from the results of CCA. Experimental results show that the performance of the combination of CCA and PSDA is better than that of CCA for the case of a short TW.
Effectiveness Analysis Tool for Underwater Acoustics Detection in Quasi-static Underwater Acoustics Channel based on Underwater Environmental Information DB
Kim, Jang Eun ; Han, Dong Seog ;
Journal of the Institute of Electronics and Information Engineers, volume 52, issue 10, 2015, Pages 148~158
DOI : 10.5573/ieie.2015.52.10.148
It is difficult to test a detection system in underwater acoustics channel environments. The system can be evaluated by using simulation analysis tool. In this paper, a simulation tool is proposed to analyze the effectiveness of underwater acoustics detection based on database for real environments. First, the underwater environment is built based on HYCOM underwater environment database. Then, a multipath characteristic is considered through calculating underwater acoustics propagation path/pressure based on the ray theory. Also, hydrophone thermal noise and underwater ambient noise are considered to reflect underwater noise characteristics.
Energy Saving System using Occupancy Sensors and Smart Plugs
Jung, Kyung Kwon ; Seo, Choon Weon ;
Journal of the Institute of Electronics and Information Engineers, volume 52, issue 10, 2015, Pages 161~167
DOI : 10.5573/ieie.2015.52.10.161
This paper presented an occupancy-based energy saving system for appliance energy saving in smart house. The developed system is composed of a sensing system and a home gateway system. The sensing system is set of wireless sensor nodes which have pyroelectric infrared (PIR) sensor to detect a motion of human and set of smart plugs which measure the current using CT (current transformer) sensor and send the current to home gateway wirelessly. We measured current consumption of appliances in real time using smart plugs, and checked the occupation of residents using occupancy sensors installed on the door and room. The proposed system saves electric energy to switch off the supply power of unnecessary usages in the unoccupied spaces. Experiments conducted have shown that electric energy usage of appliances can be saved about 34% checked by using occupation.
Study on Cooperative Communication for Underwater Acoustic Channels
Kang, Heehoon ;
Journal of the Institute of Electronics and Information Engineers, volume 52, issue 10, 2015, Pages 168~174
DOI : 10.5573/ieie.2015.52.10.168
In this paper, we analyze the performance of cooperative communication techniques on an underwater channel. By analyzing the BER performance of cooperative transmission protocol and combining types ERC, FRC, SNRC and ESNRC on underwater channel, through the result, we can choose an a proper cooperative technique for an underwater channel. The analysis of BER performance is achieved by a computer simulation.