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REFERENCE LINKING PLATFORM OF KOREA S&T JOURNALS
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KIISE Transactions on Computing Practices
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Journal DOI :
Korean Institute of Information Scientists and Engineers
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Volume & Issues
Volume 20, Issue 12 - Dec 2014
Volume 20, Issue 11 - Nov 2014
Volume 20, Issue 10 - Oct 2014
Volume 20, Issue 9 - Sep 2014
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Implementation of Korean Vowel 'ㅏ' Recognition based on Common Feature Extraction of Waveform Sequence
Roh, Wonbin ; Lee, Jongwoo ;
KIISE Transactions on Computing Practices, volume 20, issue 11, 2014, Pages 567~572
DOI : 10.5626/KTCP.2014.20.11.567
In recent years, computing and networking technologies have been developed, and the communication equipments have become smaller and the mobility has increased. In addition, the demand for easily-operated speech recognition has increased. This paper proposes method of recognizing the Korean phoneme 'ㅏ'. A phoneme is the smallest unit of sound, and it plays a significant role in speech recognition. However, the precise recognition of the phonemes has many obstacles since it has many variations in its pronunciation. This paper proposes a simple and efficient method that can be used to recognize a Korean vowel 'ㅏ'. The proposed method is based on the common features that are extracted from the 'ㅏ' waveform sequences, and this is simpler than when using the previous complex methods. The experimental results indicate that this method has a more than 90 percent accuracy in recognizing 'ㅏ'.
Noise Removal in Magnetic Resonance Images based on Non-Local Means and Guided Image Filtering
Mahmood, Muhammad Tariq ; Choi, Young Kyu ;
KIISE Transactions on Computing Practices, volume 20, issue 11, 2014, Pages 573~578
DOI : 10.5626/KTCP.2014.20.11.573
In this letter, we propose a noise reduction method for use in magnetic resonance images that is based on non-local mean and guided image filters. Our method consists of two phases. In the first phase, the guidance image is obtained from a noisy image by using an adaptive non-local mean filter. The spread of the kernel is adaptively by controlled by implementing the concept of edgeness. In the second phase, the noisy images and the guidance images are provided to the guided image filter as input in order to produce a noise-free image. The improved performance of the proposed method is investigated by conducting experiments on standard datasets that contain magnetic resonance images. The results show that the proposed scheme is superior over the existing approaches.
Speech Recognition of Korean Phonemes 'ㅅ', 'ㅈ', 'ㅊ' based on Volatility and Turning Points
Lee, Jae Won ;
KIISE Transactions on Computing Practices, volume 20, issue 11, 2014, Pages 579~585
DOI : 10.5626/KTCP.2014.20.11.579
A phoneme is the minimal unit of speech, and it plays a very important role in speech recognition. This paper proposes a novel method that can be used to recognize 'ㅅ', 'ㅈ', and 'ㅊ' among Korean phonemes. The proposed method is based on a volatility indicator and a turning point indicator that are calculated for each constituting block of the input speech signal. The volatility indicator is the sum of the differences between the values of each two samples adjacent in a block, and the turning point indicator is the number of extremal points at which the direction of the increment or decrement of the values of the sample are inverted in a block. A phoneme recognition algorithm combines the two indicators to finally determine the positions at which the three target phonemes mentioned above are recognized by utilizing optimized thresholds related with those indicators. The experimental results show that the proposed method can markedly reduce the error rate of the existing methods both in terms of the false reject rate and the false accept rate.
Analyzing Performance of MPEG-7 Video Signature for Video Copy Detection
Yu, Jeongsoo ; Ryu, Jaesug ; Nang, Jongho ;
KIISE Transactions on Computing Practices, volume 20, issue 11, 2014, Pages 586~591
DOI : 10.5626/KTCP.2014.20.11.586
In recent years, we can access to video contents anywhere and at any time. Therefore distributed video is easily copied, transformed and republished. Since it brings copyright problem, similarity/duplicate detection and measurement is essential to identify the excessive content duplication. In this paper, we analysed various discernment of video which has been transformed with various ways using MPEG-7 Video Signature. MPEG-7 Video Signature, one of video copy detection algorithms, is block based abstraction. Thus we assume Video Signature is weak for spatial transform. The experiments show that MPEG-7 Video Signature is very weak for spatial transform which could occur general as we have assumed.
Adaptive Transformation Engine for Remote Home Control Service using Smart Devices
Bae, Yuseok ; Park, Jongyoul ;
KIISE Transactions on Computing Practices, volume 20, issue 11, 2014, Pages 592~597
DOI : 10.5626/KTCP.2014.20.11.592
In this paper, we propose an adaptive transformation engine that provides smart devices with optimal user interfaces and media contents to their characteristics so as to conveniently control home networks remotely using smart devices in the wired and wireless home networks which various kinds of smart devices and home network devices are connected. The proposed engine dynamically transforms UI contents and transfers them using device profiles and UI transformation policies to make it suitable for smart devices. Moreover, the proposed engine offers suitable media contents for smart devices through capabilities of real-time media transcoding and streaming considering device and media profiles.
Moving Object Tracking using Query Relaying in Wireless Sensor Networks
Kim, Sangdae ; Kim, Cheonyong ; Cho, Hyunchong ; Yim, Yongbin ; Kim, Sang-Ha ;
KIISE Transactions on Computing Practices, volume 20, issue 11, 2014, Pages 598~603
DOI : 10.5626/KTCP.2014.20.11.598
In wireless sensor networks, two methods have been generally used to track continuously moving object: a user query-based method and a periodic report-based method. Although the former method generates more overhead as a result of the user queries, the former one is also an energy-efficient method that does not transfer unnecessary information. For the user query-based method, a virtual tree that consist of sensor nodes is used to perform the user query and the sensor reporting. The tree stores the information of the mobile objects, and the stored information triggers a report b the user query. However, in case of a fast-moving object, the tracking accuracy decreases as a result of the time delay of the end-to-end repeated query. In order to solve this problem, we propose a query-relay method that reduces the time delay for mobile object tracking. In the proposed method, the nodes in the tree relay the query to adjacent nodes according to the movement of mobile object that is tracked. When the query messages are relayed. The end-to-end querying time delay is reduced. and a simulation shows that our method is superior to existing ones in terms of tracking accuracy.
Exploiting Quality Scalability in Scalable Video Coding (SVC) for Effective Power Management in Video Playback
Jeong, Hyunmi ; Song, Minseok ;
KIISE Transactions on Computing Practices, volume 20, issue 11, 2014, Pages 604~609
DOI : 10.5626/KTCP.2014.20.11.604
Decoding processes in portable media players have a high computational cost, resulting in high power consumption by the CPU. If decoding computations are reduced, the power consumed by the CPU is also be reduced, but such a choice generally results in a degradation of the video quality for the users, so it is essential to address this tradeoff. We proposed a new CPU power management scheme that can make use of the scalability property available in the H.164/SVC standard. We first proposed a new video quality model that makes use of a video quality metric(VQM) in order to efficiently take into account the different quantization factors in the SVC. We then propose a new dynamic voltage scaling(DVS) scheme that can selectively combine the previous decoding times and frame sizes in order to accurately predict the next decoding time. We then implemented a scheme on a commercial smartphone and performed a user test in order to examine how users react to the VQM difference. Real measurements show that the proposed scheme uses up to 34% fewer energy than the Linux DVFS governor, and user tests confirm that the degradation in the quality is quite tolerable.
Compressing Method of NetCDF Files Based on Sparse Matrix
Choi, Gyuyeun ; Heo, Daeyoung ; Hwang, Suntae ;
KIISE Transactions on Computing Practices, volume 20, issue 11, 2014, Pages 610~614
DOI : 10.5626/KTCP.2014.20.11.610
Like many types of scientific data, results from simulations of volcanic ash diffusion are of a clustered sparse matrix in the netCDF format. Since these data sets are large in size, they generate high storage and transmission costs. In this paper, we suggest a new method that reduces the size of the data of volcanic ash diffusion simulations by converting the multi-dimensional index to a single dimension and keeping only the starting point and length of the consecutive zeros. This method presents performance that is almost as good as that of ZIP format compression, but does not destroy the netCDF structure. The suggested method is expected to allow for storage space to be efficiently used by reducing both the data size and the network transmission time.