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REFERENCE LINKING PLATFORM OF KOREA S&T JOURNALS
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Journal of information and communication convergence engineering
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Journal DOI :
The Korean Institute of Information and Commucation Engineering
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Volume & Issues
Volume 13, Issue 4 - Dec 2015
Volume 13, Issue 3 - Aug 2015
Volume 13, Issue 2 - Jun 2015
Volume 13, Issue 1 - Mar 2015
Selecting the target year
Analysis of Optimal Sounding Signal Design in OFDM Systems
Jo, Junho ; Oh, Janghoon ; Choi, Seyeong ;
Journal of information and communication convergence engineering, volume 13, issue 2, 2015, Pages 69~73
DOI : 10.6109/jicce.2015.13.2.069
We focus on a sounding signal design for single-input single-output orthogonal frequency division multiplexing (SISO-OFDM) systems. We show that the frequency spectrum of an optimum sounding signal has a constant magnitude across the frequency band for the cases with or without Doppler effects. Simulation results show that the designed optimum sounding signal outperforms random sounding signals and that the performance of a maximal-length shift register sequence is indistinguishable from that of the optimum sounding signal.
Mitigation of Adverse Effects of Malicious Users on Cooperative Spectrum Sensing by Using Hausdorff Distance in Cognitive Radio Networks
Khan, Muhammad Sajjad ; Koo, Insoo ;
Journal of information and communication convergence engineering, volume 13, issue 2, 2015, Pages 74~80
DOI : 10.6109/jicce.2015.13.2.074
In cognitive radios, spectrum sensing plays an important role in accurately detecting the presence or absence of a licensed user. However, the intervention of malicious users (MUs) degrades the performance of spectrum sensing. Such users manipulate the local results and send falsified data to the data fusion center; this process is called spectrum sensing data falsification (SSDF). Thus, MUs degrade the spectrum sensing performance and increase uncertainty issues. In this paper, we propose a method based on the Hausdorff distance and a similarity measure matrix to measure the difference between the normal user evidence and the malicious user evidence. In addition, we use the Dempster-Shafer theory to combine the sets of evidence from each normal user evidence. We compare the proposed method with the k-means and Jaccard distance methods for malicious user detection. Simulation results show that the proposed method is effective against an SSDF attack.
A 94-GHz Phased Array Antenna Using a Log-Periodic Antenna on a GaAs Substrate
Uhm, Won-Young ; Ryu, Keun-Kwan ; Kim, Sung-Chan ;
Journal of information and communication convergence engineering, volume 13, issue 2, 2015, Pages 81~85
DOI : 10.6109/jicce.2015.13.2.081
A 94-GHz phased array antenna using a log-periodic antenna has been developed on a GaAs substrate. The developed phased array antenna comprises four log-periodic antennas, a phase shifter, and a Wilkinson power divider. This antenna was fabricated using the standard microwave monolithic integrated circuit (MMIC) process including an air bridge for unipolar circuit implementations on the same GaAs substrate. The total chip size of the fabricated phased array antenna is 4.8 mm × 4.5 mm. Measurement results showed that the fabricated phased array antenna had a very wide band performance from 80 GHz to 110 GHz with return loss characteristics better than -10 dB. In the center frequency of 94 GHz, the fabricated phased array antenna showed a return loss of -16 dB and a gain of 4.43 dBi. The developed antenna is expected to be widely applied in many applications at W-band frequency.
MobPrice: Dynamic Data Pricing for Mobile Communication
Padhariya, Nilesh ; Raichura, Kshama ;
Journal of information and communication convergence engineering, volume 13, issue 2, 2015, Pages 86~96
DOI : 10.6109/jicce.2015.13.2.086
In mobile communication, mobile services [MSs] (e.g., phone calls, short/multimedia messages, and Internet data) incur a cost to both mobile users (MUs) and mobile service providers (MSPs). The proposed model MobPrice consists of dynamic data pricing schemes for mobile communication in order to achieve optimal usage of MSs at minimal prices. MobPrice inspires MUs to subscribe MSs with flexibility of data sharing and intra-peer exchanges, thereby reducing overall cost. The main contributions of MobPrice are three-fold. First, it proposes a novel k-level data-pricing (kDP) scheme for MSs. Second, it extends the kDP scheme with the notion of service-sharing-based pricing schemes to a collaborative peer-to-peer data-pricing (pDP) scheme and a cluster-based data-pricing (cDP) scheme to incorporate the notion of `cluster` (made up of two or more MUs) in mobile communication. Third, our performance study shows that the proposed schemes are indeed effective in maximizing MS subscriptions and minimizing MS`s price/user.
An Integrated DEA-AHP Model for the Acquisition of a Weapon System: Selection of a Next-Generation Fighter System in Korea
Moon, Jaehun ; Kang, Seokjoong ;
Journal of information and communication convergence engineering, volume 13, issue 2, 2015, Pages 97~104
DOI : 10.6109/jicce.2015.13.2.097
In this paper, we propose a data envelopment analysis (DEA) and analytic hierarchy process (AHP) integrated model to improve the selection process in the acquisition of a weapon system which is the key component to the success of the project. In particular, we applied DEA in the first stage to choose a frontier group among the candidates in the selection process of the next-generation fighter system (the 3rd FX) in Korea. Then, by using the Delphi technique, we surveyed military experts and applied AHP to determine the best choice among the candidates. The results of the study match the actual decision made by the Korean government in the weapon system acquisition. The results of the proposed DEA-AHP integrated method in the selection of the next-generation fighter systems in Korea demonstrate the usefulness of the method. In this paper, we also discuss the future implications of the proposed model.
A New Estimation Model for Wireless Sensor Networks Based on the Spatial-Temporal Correlation Analysis
Ren, Xiaojun ; Sug, HyonTai ; Lee, HoonJae ;
Journal of information and communication convergence engineering, volume 13, issue 2, 2015, Pages 105~112
DOI : 10.6109/jicce.2015.13.2.105
The estimation of missing sensor values is an important problem in sensor network applications, but the existing approaches have some limitations, such as the limitations of application scope and estimation accuracy. Therefore, in this paper, we propose a new estimation model based on a spatial-temporal correlation analysis (STCAM). STCAM can make full use of spatial and temporal correlations and can recognize whether the sensor parameters have a spatial correlation or a temporal correlation, and whether the missing sensor data are continuous. According to the recognition results, STCAM can choose one of the most suitable algorithms from among linear interpolation algorithm of temporal correlation analysis (TCA-LI), multiple regression algorithm of temporal correlation analysis (TCA-MR), spatial correlation analysis (SCA), spatial-temporal correlation analysis (STCA) to estimate the missing sensor data. STCAM was evaluated over Intel lab dataset and a traffic dataset, and the simulation experiment results show that STCAM has good estimation accuracy.
ModifiedFAST: A New Optimal Feature Subset Selection Algorithm
Nagpal, Arpita ; Gaur, Deepti ;
Journal of information and communication convergence engineering, volume 13, issue 2, 2015, Pages 113~122
DOI : 10.6109/jicce.2015.13.2.113
Feature subset selection is as a pre-processing step in learning algorithms. In this paper, we propose an efficient algorithm, ModifiedFAST, for feature subset selection. This algorithm is suitable for text datasets, and uses the concept of information gain to remove irrelevant and redundant features. A new optimal value of the threshold for symmetric uncertainty, used to identify relevant features, is found. The thresholds used by previous feature selection algorithms such as FAST, Relief, and CFS were not optimal. It has been proven that the threshold value greatly affects the percentage of selected features and the classification accuracy. A new performance unified metric that combines accuracy and the number of features selected has been proposed and applied in the proposed algorithm. It was experimentally shown that the percentage of selected features obtained by the proposed algorithm was lower than that obtained using existing algorithms in most of the datasets. The effectiveness of our algorithm on the optimal threshold was statistically validated with other algorithms.
Learning an Artificial Neural Network Using Dynamic Particle Swarm Optimization-Backpropagation: Empirical Evaluation and Comparison
Devi, Swagatika ; Jagadev, Alok Kumar ; Patnaik, Srikanta ;
Journal of information and communication convergence engineering, volume 13, issue 2, 2015, Pages 123~131
DOI : 10.6109/jicce.2015.13.2.123
Training neural networks is a complex task with great importance in the field of supervised learning. In the training process, a set of input-output patterns is repeated to an artificial neural network (ANN). From those patterns weights of all the interconnections between neurons are adjusted until the specified input yields the desired output. In this paper, a new hybrid algorithm is proposed for global optimization of connection weights in an ANN. Dynamic swarms are shown to converge rapidly during the initial stages of a global search, but around the global optimum, the search process becomes very slow. In contrast, the gradient descent method can achieve faster convergence speed around the global optimum, and at the same time, the convergence accuracy can be relatively high. Therefore, the proposed hybrid algorithm combines the dynamic particle swarm optimization (DPSO) algorithm with the backpropagation (BP) algorithm, also referred to as the DPSO-BP algorithm, to train the weights of an ANN. In this paper, we intend to show the superiority (time performance and quality of solution) of the proposed hybrid algorithm (DPSO-BP) over other more standard algorithms in neural network training. The algorithms are compared using two different datasets, and the results are simulated.
Integral Imaging Monitors with an Enlarged Viewing Angle
Dorado, Adria ; Saavedra, Genaro ; Sola-Pikabea, Jorge ; Martinez-Corral, Manuel ;
Journal of information and communication convergence engineering, volume 13, issue 2, 2015, Pages 132~138
DOI : 10.6109/jicce.2015.13.2.132
Enlarging the horizontal viewing angle is an important feature of integral imaging monitors. Thus far, the horizontal viewing angle has been enlarged in different ways, such as by changing the size of the elemental images or by tilting the lens array in the capture and reconstruction stages. However, these methods are limited by the microlenses used in the capture stage and by the fact that the images obtained cannot be easily projected into different displays. In this study, we upgrade our previously reported method, called SPOC 2.0. In particular, our new approach, which can be called SPOC 2.1, enlarges the viewing angle by increasing the density of the elemental images in the horizontal direction and by an appropriate application of our transformation and reshape algorithm. To illustrate our approach, we have calculated some high-viewing angle elemental images and displayed them on an integral imaging monitor.
Push-Push Voltage Controlled Dielectric Resonator Oscillator Using a Broadside Coupler
Ryu, Keun-Kwan ; Kim, Sung-Chan ;
Journal of information and communication convergence engineering, volume 13, issue 2, 2015, Pages 139~143
DOI : 10.6109/jicce.2015.13.2.139
A push-push voltage controlled dielectric resonator oscillator (VCDRO) with a modified frequency tuning structure using broadside couplers is investigated. The push-push VCDRO designed at 16 GHz is manufactured using a low temperature co-fired ceramic (LTCC) technology to reduce the circuit size. The frequency tuning structure using a broadside coupler is embedded in a layer of the A6 substrate by using the LTCC process. Experimental results show that the fundamental and third harmonics are suppressed above 15 dBc and 30 dBc, respectively, and the phase noise of push-push VCDRO is -97.5 dBc/Hz at an offset frequency of 100 kHz from the carrier. The proposed frequency tuning structure has a tuning range of 4.46 MHz over a control voltage of 1-11 V. This push-push VCDRO has a miniature size of 15 mm×15 mm. The proposed design and fabrication techniques for a push-push oscillator seem to be applicable in many space and commercial VCDRO products.