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REFERENCE LINKING PLATFORM OF KOREA S&T JOURNALS
> Journal Vol & Issue
IEIE Transactions on Smart Processing and Computing
Journal Basic Information
Journal DOI :
The Institute of Electronics Engineers of Korea
Editor in Chief :
Volume & Issues
Volume 5, Issue 4 - Aug 2016
Volume 5, Issue 3 - Jun 2016
Volume 5, Issue 2 - Apr 2016
Volume 5, Issue 1 - Feb 2016
Selecting the target year
A Fabrication and Testing of New RC CMOS Oscillator Insensitive Supply Voltage Variation
Kim, Jin-su ; Sa, Yui-hwan ; Kim, Hi-seok ; Cha, Hyeong-woo ;
IEIE Transactions on Smart Processing and Computing, volume 5, issue 2, 2016, Pages 71~76
DOI : 10.5573/IEIESPC.2016.5.2.071
A controller area network (CAN) receiver measures differential voltage on a bus to determine the bus level. Since 3.3V transceivers generate the same differential voltage as 5V transceivers (usually
), all transceivers on the bus (regardless of supply voltage) can decipher the message. In fact, the other transceivers cannot even determine or show that there is anything different about the differential voltage levels. A new CMOS RC oscillator insensitive supply voltage for clock generation in a CAN transceiver was fabricated and tested to compensate for this drawback in CAN communication. The system consists of a symmetrical circuit for voltage and current switches, two capacitors, two comparators, and an RS flip-flop. The operational principle is similar to a bistable multivibrator but the oscillation frequency can also be controlled via a bias current and reference voltage. The chip test experimental results show that oscillation frequency and power dissipation are 500 kHz and 5.48 mW, respectively at a supply voltage of 3.3 V. The chip, chip area is
, is fabricated with
CMOS technology from SK hynix.
Multilingual Automatic Translation Based on UNL: A Case Study for the Vietnamese Language
Thuyen, Phan Thi Le ; Hung, Vo Trung ;
IEIE Transactions on Smart Processing and Computing, volume 5, issue 2, 2016, Pages 77~84
DOI : 10.5573/IEIESPC.2016.5.2.077
In the field of natural language processing, Universal Networking Language (UNL) has been used by various researchers as an inter-lingual approach to automatic machine translation. The UNL system consists of two main components, namely, EnConverter for converting text from a source language to UNL, and DeConverter for converting from UNL to a target language. Currently, many projects are researching how to apply UNL to different languages. In this paper, we introduce the tools that are UNL's applications and discuss how to reuse them to encode a Vietnamese sentence into UNL expressions and decode UNL expressions into a Vietnamese sentence. The testing was done with about 1,000 Vietnamese sentences (a dictionary that includes 4573 entries and 3161 rules). In addition, we compare the proportion of sentences translated based on a direct method (Google Translator) and another one based on UNL.
Entropy-based Correlation Clustering for Wireless Sensor Networks in Multi-Correlated Regional Environments
Nga, Nguyen Thi Thanh ; Khanh, Nguyen Kim ; Hong, Son Ngo ;
IEIE Transactions on Smart Processing and Computing, volume 5, issue 2, 2016, Pages 85~93
DOI : 10.5573/IEIESPC.2016.5.2.085
The existence of correlation characteristics brings significant potential advantages to the development of efficient routing protocols in wireless sensor networks. This research proposes a new simple method of clustering sensor nodes into correlation groups in multiple-correlation areas. At first, the evaluation of joint entropy for multiple-sensed data is considered. Based on the evaluation, the definition of correlation region, based on entropy theory, is proposed. Following that, a correlation clustering scheme with less computation is developed. The results are validated with a real data set.
Classification of HTTP Automated Software Communication Behavior Using a NoSQL Database
Tran, Manh Cong ; Nakamura, Yasuhiro ;
IEIE Transactions on Smart Processing and Computing, volume 5, issue 2, 2016, Pages 94~99
DOI : 10.5573/IEIESPC.2016.5.2.094
Application layer attacks have for years posed an ever-serious threat to network security, since they always come after a technically legitimate connection has been established. In recent years, cyber criminals have turned to fully exploiting the web as a medium of communication to launch a variety of forbidden or illicit activities by spreading malicious automated software (auto-ware) such as adware, spyware, or bots. When this malicious auto-ware infects a network, it will act like a robot, mimic normal behavior of web access, and bypass the network firewall or intrusion detection system. Besides that, in a private and large network, with huge Hypertext Transfer Protocol (HTTP) traffic generated each day, communication behavior identification and classification of auto-ware is a challenge. In this paper, based on a previous study, analysis of auto-ware communication behavior, and with the addition of new features, a method for classification of HTTP auto-ware communication is proposed. For that, a Not Only Structured Query Language (NoSQL) database is applied to handle large volumes of unstructured HTTP requests captured every day. The method is tested with real HTTP traffic data collected through a proxy server of a private network, providing good results in the classification and detection of suspicious auto-ware web access.
Spectrum Sensing System in Software-defined Radio to Determine Spectrum Availability
Llames, Gerome Jan M. ; Banacia, Alberto S. ;
IEIE Transactions on Smart Processing and Computing, volume 5, issue 2, 2016, Pages 100~106
DOI : 10.5573/IEIESPC.2016.5.2.100
Spectrum sensing is an integral part of cognitive radio, which seeks to address the perceived spectrum scarcity that is caused by inefficient utilization of the available spectrum. In this paper, a spectrum sensing system using energy detection for analog TV and FM broadcast transmitters as well as modified Integrated Services Digital Broadcasting Terrestrial (ISDB-T) signals is implemented on a software-defined radio platform using GNU' Not Unix (GNU) radio and the N200 Universal Software Radio Peripheral (USRP). Real-time implementation and experimental tests were conducted in Metro Cebu, a highly urbanized area in the southern part of the Philippines. Extensive tests and measurements were necessary to determine spectrum availability, particularly in the TV band. This is in support of the Philippine government' efforts to provide internet connectivity to rural areas. Experimental results have so far met IEEE 802.22 requirements for energy detection spectrum sensing. The designed system detected signals at -114 dBm within a sensing time of 100 ms. Furthermore, the required
of the standard were also achieved with different thresholds for various signal sources representing primary users.
Automatic Control of Fraction of Inspired Oxygen in Neonatal Oxygen Therapy using Fuzzy Logic Control
Chanyagorn, Pornchai ; Kiratiwudhikul, Phattaradanai ;
IEIE Transactions on Smart Processing and Computing, volume 5, issue 2, 2016, Pages 107~116
DOI : 10.5573/IEIESPC.2016.5.2.107
Premature babies of less than 37 weeks gestation might require oxygen therapy as an integral part of treatment and respiratory support. Because of their under-developed lungs, these so-called "preemies" might contract respiratory distress syndrome (RDS). To treat RDS, neonatal oxygen therapy is administered, where controlled oxygen gas is measured as a fraction of inspired oxygen (
). However, exposure to high oxygen content during long treatment could cause oxygen intoxication, which might cause permanent blindness due to retinopathy of prematurity (ROP), whereas insufficient oxygen exposure could cause severe hypoxia. A doctor would use oxygen saturation (
) data and prescribe a dose of
within a suitable range. One objective is to maintain
within the acceptable range using
that is as low as possible. Adjustment of
would normally be done by nurses every 15 to 30 minutes, which might not be safe in many situations. An error in
adjustment during a manual procedure could be as large as +/- 2.5%. This paper presents a system that can determine an
value suitable to the current
and that automatically adjusts
with an error clearance of +/- 0.25%.
Optimizing Mobile Advertising Using Ad Refresh Interval
Truong, Vinh ;
IEIE Transactions on Smart Processing and Computing, volume 5, issue 2, 2016, Pages 117~122
DOI : 10.5573/IEIESPC.2016.5.2.117
Optimizing the number of ad clicks is a large-scale learning problem that is central to the multi-billion dollar mobile advertising industry. There are currently several optimization methods used, including ad mediation and ad positioning. This paper proposes a new method to optimize mobile advertising by using the ad refresh interval. A new metric, which can measure and compare mobile advertising performance, takes into account time limitations. The results achieved from this optimization study could maximize revenue for mobile advertisers and publishers. This research has high applicability. It also lays out a solid background for future research in this promising area.
Design of a High-efficiency Fiber-to-chip Coupler with Reflectors
Yoo, Keon ; Lee, Jong-Ho ;
IEIE Transactions on Smart Processing and Computing, volume 5, issue 2, 2016, Pages 123~128
DOI : 10.5573/IEIESPC.2016.5.2.123
In this paper, an inversely tapered coupler with Bragg reflectors is reported for the first time. With appropriately positioned reflecting structures, our fiber-to-chip coupler can more efficiently transmit the light from fiber to a waveguide in a photonic integrated circuit (PIC). A numerical simulation evaluated the coupler's efficiency with the reflector. Optimized parameters that maximize the efficiency of the coupler are also investigated. Simulation results show that the reflector with appropriate parameters enhances efficiency by up to 7 dB. Likewise, Bragg metal reflectors implemented by the conventional metallization process can also improve efficiency. It is also shown that the proposed reflector enhances the coupling efficiency in a double-tip taper coupler.
Reliability-Based Deblocking Filter for Wyner-Ziv Video Coding
Dinh, Khanh Quoc ; Shim, Hiuk Jae ; Jeon, Byeungwoo ;
IEIE Transactions on Smart Processing and Computing, volume 5, issue 2, 2016, Pages 129~142
DOI : 10.5573/IEIESPC.2016.5.2.129
In Wyner-Ziv coding, video signals are reconstructed by correcting side information generated by block-based motion estimation/compensation at the decoder. The correction is not always accurate due to the limited number of parity bits and early stopping of low-density parity check accumulate (LDPCA) decoding in distributed video coding, or due to the limited number of measurements in distributed compressive video sensing. The blocking artifacts caused by block-based processing are usually conspicuous in smooth areas and degrade the perceptual quality of the reconstructed video. Conventional deblocking filters try to remove the artifacts by treating both sides of the block boundary equally; however, coding errors generated by block-based processing are not necessarily the same on both sides of the block boundaries. Such a block-wise difference is exploited in this paper to improve deblocking for Wyner-Ziv frameworks by designing a filter where the deblocking strength at each block can be non-identical, depending on the reliability of the reconstructed pixels. Test results show that the proposed filter not only improves subjective quality by reducing the coding artifacts considerably, but also gains rate distortion performance.
Enhanced Prediction Algorithm for Near-lossless Image Compression with Low Complexity and Low Latency
Son, Ji Deok ; Song, Byung Cheol ;
IEIE Transactions on Smart Processing and Computing, volume 5, issue 2, 2016, Pages 143~151
DOI : 10.5573/IEIESPC.2016.5.2.143
This paper presents new prediction methods to improve compression performance of the so-called near-lossless RGB-domain image coder, which is designed to effectively decrease the memory bandwidth of a system-on-chip (SoC) for image processing. First, variable block size (VBS)-based intra prediction is employed to eliminate spatial redundancy for the green (G) component of an input image on a pixel-line basis. Second, inter-color prediction (ICP) using spectral correlation is performed to predict the R and B components from the previously reconstructed G-component image. Experimental results show that the proposed algorithm improves coding efficiency by up to 30% compared with an existing algorithm for natural images, and improves coding efficiency with low computational cost by about 50% for computer graphics (CG) images.