bluuebunny/crossref_metadata_2025 huggingface dataset:
Robust Speech Recognition Using KPCA-Based Noise Classification
Authors: Thatphithakkul Nattanun , Kruatrachue Boontee , Wutiwiwatchai Chai , Marukatat Sanparith , Boonpiam Vataya
Published: April 2020

This paper proposes an environmental noise classification method using kernel principal component analysis (KPCA) for robust speech recognition. Once the type of noise is identified, speech recognition performance can be enhanced by selecting the identified noise specific acoustic model. The proposed model applies KPCA to a set of noise features such as normalized logarithmic spectrums (NLS), and results from KPCA are used by a support vector machines (SVM) classifier for noise classification. The proposed model is evaluated with 2 groups of environments. The first group contains a clean environment and 9 types of noisy environments that have been trained in the system. Another group contains other 6 types of noises not trained in the system. Noisy speech is prepared by adding noise signals from JEIDA and NOISEX-92 to the clean speech taken from NECTEC-ATR Thai speech corpus. The proposed model shows a promising result when evaluating on the task of phoneme based 640 Thai isolatedword recognition.
Semantic Web Services: Service Discovery and Invocation Planning
Authors: Limapichat Kati , Chaiyakul Sukasom , Dixit Avani , Nantajeewarawat Ekawit
Published: April 2020

With the expanse of internet, web programmers have wide choice of web services available to them. A need arises for automatic discovery of required web services and construction of an appropriate sequence of invocation thereof. In this paper, we present a framework for automation of this task based on currently emerging technologies such as ontological knowledge bases, OWL, OWL-S, WSDL, Description Logic (DL), etc. Background-knowledge ontologies are created based on which semantic meanings of web services can be given through OWL-S. An agent employs OWL-S API to extract web service metadata, and applies a DL inference engine, called Racer, for reasoning with the metadata with respect to given background knowledge. Reasoning tasks performed by Racer include profile matchmaking, input/output subsumption testing, and preconditions/effects analysis, which are basic mechanisms for web services discovery and invocation planning. A prototype system has been implemented.
A Performance Analysis of Compressed Compact Genetic Algorithm
Authors: Watchanupaporn Orawan , Soonthornphisaj Nuanwan , Suwannik Worasait
Published: April 2020

Compressed compact genetic algorithm (c2GA) is an algorithm that utilizes the compressed chromosome encoding and compact genetic algorithm (cGA). The advantage of c2GA is to reduce the memory usage by representing population as a probability vector. In this paper, we analyze the performance in term of robustness of c2GA. Since the compression and decompression strategy employ two parameters, which are the length of repeating value and the repeat count, we vary these two parameters to see the performance affected in term of convergence speed. The experimental results show that c2GA outperforms cGA and is a robust algorithm.
An Incorporated Use of Fuzzy Logic Toolbox and Modelica Library to Design SSSC Damping Controller
Authors: Somritvanitcha Boonrat , Ngamroo Issarachai , Hongesombut Komsan
Published: April 2020

ObjectStab is a general purpose simulation tool for power system stability studies developed by Modelica which is an object-oriented modeling language. It provides enough modeling flexibility to allow addition or modification of new power system components. This paper describes an incorporated use of fuzzy logic toolbox in Matlab/Simulink and Object-Stab library to enhance the application of this library into fuzzy control design environment. The example provided here is the modeling of the static synchronous series compensator (SSSC) which is the new device developed in the ObjectStab. In addition, the interface of ObjectStab with Matlab/Simulink for an SSSC damping controller design by fuzzy logic toolbox is explained step by step. Simulation studies in a multi-machine power system confirm the effectiveness of the designed fuzzy controller.
Low Power Despreader using Dynamic Reconfigurable Architecture for Multicarrier CDMA with Two-Dimensional Spreading and Variable Spreading Factor
Authors: Sugawara Takayuki , Miyanaga Yoshikazu
Published: April 2020

In this paper, we propose a dynamic reconfigurable architecture of a despreader for Multicarrier code division multiple access (CDMA) with two-dimensional spreading and variable spreading factor. The spreading factors in the time and frequency domains are varied according to cell configuration, channel load, and propagation channel conditions in the system. The structure of the proposed despreader is dynamically changed with spreading factors. Following this structure, optimum parallel and pipeline processing are achieved. The proposed despreader reduces the power consumption by 60% compared with the basic one.
Clustering e-Banking Customer using Data Mining and Marketing Segmentation
Authors: Niyagas Waminee , Srivihok Anongnart , Kitisin Sukumal
Published: April 2020

In Thailand e-banking has been offered by various financial institutes including Thai commercial banks and government banks. However, e-banking in Thailand is not widely used and accepted as in other countries. Accordingly, the study of e-banking is scantly due to the limitation of data confidentiality. This study uses data mining techniques to analyse historical data of e-banking usages from a commercial bank in Thailand. These techniques including SOMS, K-Mean algorithm and marketing techniques-RFM analysis are used to segment customers into groups according to their personal profiles and e-banking usages. Then Apriori algorithm is applied to detect the relationships within features of e-banking services. Typically, results of this study are presented and can be used to generate new service packages which are customised to each segment of e-banking users.
Cluster Analysis of Prominent Features for Determining Stress Levels in Thai Speech
Authors: Charnvivit Patavee , Thubthong Nuttakorn , Luksaneeyanawin Sudaporn
Published: April 2020

Software testing is an important activity in software development process. Testers have to generate test cases to test a system. At least, test cases consist of test input values and expected results. In functional testing or black-box testing, test designers can generate test cases from a requirements specification document which includes diagrams such as UML Diagrams. In this research, we consider UML use case diagrams and propose an approach for generating test cases from use cases based on a limited entries decision table. These test cases cover all success and alternative scenarios in a use case as well as all events that contain include and extend relationship.
A Chunk-based n-gram English to Thai Transliteration
Authors: Aroonmanakun Wirote
Published: April 2020

In this study, a chunk-based n-gram model is proposed for English to Thai transliteration. The model is compared with three other models: table lookup model, decision tree model, and statistical model. The chunk-based n-gram model achieves 67% word accuracy, which is higher than the accuracy of other models. Performances of all models are slightly increased when an English grapheme to phoneme is included in the system. However, the accuracy of the system does not suffice to be a public transliteration tool. The low accuracy of the system is caused by the poor performance of the English grapheme to phoneme module and the inconsistency of pronunciation in the training data. Some suggestions are provided for further improvement.
An Optimal Integer Partition Approach to Coalition Structure Generation
Authors: Boonjing Veera , Narabin Santit
Published: April 2020

This paper proposes a new solution to the problem of coalition structure generation using an optimal integer partition. The new partition is the set of set of integers where each integer represents size of a coalition. It includes only elements that no other elements in this partition have values of generated structures higher than them. We show that an element of this partition is a set containing 1 at most one element. Any solutions to the problem of coalition structure generation using the new partition can reduce at least approximately 40% of possible candidate structures when size of coalition members at least 5. Moreover, the bigger the size of coalition members is, the more these solutions outperform the ones using integer partitions.
Retrieving Model for Design Patterns
Authors: Intakosum Sarun , Muangon Weenawadee
Published: April 2020

The purpose of this research is to develop a retrieving model for design patterns, based on problem domain context. The research aims to provide a convenient way for developers to access to the right design patterns that can solve their design problems. The proposed model is composed of two major parts, the analysis of design pattern documents to create searchindexes, and the calculation of index weight. Vector space model is used to calculate similarity between queries and documents. The result of this research shows that precision of the proposed model, in retrieving correct design patterns, is about 70 percents in average.
Evaluation of UMTS RLC Parameters for MPEG-4 Video Streaming
Authors: Panchaem Arisa , Kamolpiwong Sinchai , Unhawiwat Mallika , Saewong Suthon
Published: April 2020

Universal Mobile Telecommunication Systems (UMTS) known as Third Generation (3G) mobile phone systems using Wideband Code Division Multiple Access (WCDMA) standard aim to provide a high bit rate of services to enable a high quality of multimedia communications. The 3G specification entity, 3GPP, has defined a reliable link layer protocol, Radio Link Control (RLC), for hiding transmission errors from upper layers. Due to the complexity of the protocol and the a number of parameter configurations available, there are many ways that can degrade a system performance, such as incorrect parameters configuration, buffer missmanagement, protocol stalling, etc. MPEG-4 is widely used for video stream services due to its good video quality at low bit rate. In this paper, we have studied on the impacts of RLC parameters, especially RLC timer and polling mechanism, for MPEG-4 video stream transmission by using a computer simulation. Our simulation results provide some suggestions value to optimize such parameters, e.g. RLC time and polling.
Modified CIC Filter for Rational Sample Rate Conversion
Authors: Dolecek Gordana Jovanovic
Published: April 2020

The modification of the conventional CIC (cascadedintegrator-comb) filter for rational sample rate conversion (SRC) in software defined radio (SWR) systems is presented here. The conversion factor is a ratio of two mutually prime numbers, where the decimation factor M can be expressed as a product of two integers. The overall filter realization is based on a stepped triangular form of the CIC impulse response, the corresponding expanded cosine filter, and sine-based compensation filter. This filter performs sampling rate conversion efficiently by using only additions/subtractions making it attractive for software defined radio (SWR) applications.
Low Power Consumption Mobile Ad Hoc Network System
Authors: Ishii Hiroshi
Published: April 2020

In order to solve the environmental crisis problem and to realize the sustainable environment, we need the efforts to reduce energy consumption. It is reported that the energy consumption by IT including communication will rapidly grow. Based on this situation, Japan Science and Technology Agency (JST) has begun the project of “Ultra low power consumption information technology” under the umbrella of the competitive research fund named “Core Research for Evolutional Science and Technology (CREST)”. We have applied to the open call for proposal and our proposal “Ultra low power Data Driven Networking System (ULPDDNS)” has been accepted as one of 2007-2012 frame projects by JST CREST. Our objective is to develop a data-driven networking system that can achieve reduction of power consumption to 1/100-1/1000 compared with the existing systems, especially in the situation just after a disaster happened. We believe the most applicable network to disaster situation is Mobile Ad hoc NETwork (MANET). This paper introduces the ULPDDNS research activities mainly from the viewpoint of network, i.e., MANET and shows three techniques to establish highly efficient and energy saving MANETswith reasonable performance: (1) GPS-aided target information discovery, (2) Load-aware broadcast-type contents delivery, and (3) Trust relationship list based key management.
On Applications of Graph/Network Theory to Problems in Communication Systems
Authors: Tamura Hiroshi , Nakano Keisuke , Sengoku Masakazu , Shinoda Shoji
Published: April 2020

Graph/network theory results are applicable to problems in communications. As a representative example, the node coloring problem in graph theory is applicable to the channel assignment problem in cellular mobile communication systems. The node coloring problem is NP-complete, meaning that optimally solving it is very difficult. Therefore, we use heuristic algorithms for the channel assignment problem. In this case, the graph theory results show the legitimacy of using heuristic techniques. On the other hand, we can directly apply graph theory to communication problems. For example, on contents delivery services in the Internet, we place mirror servers that provide the same contents on the network. Location problems on flow networks are applicable to mirror server allocation problems. In a simple case, we can efficiently solve the problem. In this paper, we concentrate on multi-hop wireless networks and consider the relationship between their problems and the results of graph/network theory.
Electrical Distribution Grid Visualization using Programmable GPUs Javier Novo
Authors: Rodrguez Javier Novo , Canosa Mariano Cabrero , Pereira Elena Hernandez
Published: April 2020

Modern graphics cards enable applications to process big amounts of graphical data faster than CPUs, allowing high-volume parallelizable data to be visualized in real-time. In this paper, we present an approach to enable a power grid planning Computer- Aided-Design application to use this processing power to visualize electrical distribution grids in the fastest possible way. Specifically, the GPU has been programmed using Vertex Shaders in order to generate wide lines representing the power lines carrying a given power load. Furthermore, this kind of shaders was also used to translate the coordinates of the power grid from the geographic to the graphic domain, thus offloading this work from the CPU. As a result, the aforesaid application became able to render the visualization of power grids much faster and to offer highly responsive interactions with them.
Human Detection by Boosting-Based Co-occurrence of HOG and Color Feature
Authors: Matsumura Ryo , Hanazawa Akitoshi
Published: April 2020

In this paper, we propose a method for human detection using co-occurrence of Histograms of Oriented Gradients (HOG) features and color features. This method expresses the co-occurrence between HOG and color features by Adaboost and generates the combination of the features effective for the identification automatically. Color features were calculated by making histograms that quantized hue and saturation in local areas. We show the effectiveness of the proposed method by identification experiments for human and non-human images.
A Fast and Efficient Palmprint Identification Method for a Large Database
Authors: Sakdanupab Mongkon , Covavisaruch Nongluk
Published: April 2020

This paper proposes a fast and efficient palmprint identification method for a large database. The process is accelerated as a result of our efficient palmprint classification and matching scheme. Palmprint classification method is based on principle lines which are life line, head line and heart line. Palmprints’ features are extracted with Log-Gabor filter and matched with Hamming distance in the most potential palmprint group/category, and if necessary, continues orderly to the less potential ones. Experiments are done with 2 hand databases, Visgraph database and CU-CGCI hand database. Experimental results show that the proposed method can greatly reduce the number of template matching from 100% (as in general identification methods) to 33.2-38.2% while maintaining the equivalent EER as the general identification method.
Foreword for Special Session on Papers Selected from ECTI-CON 2011
Authors: CIT ECTI
Published: April 2020

ECTI-CIT
Particle Based Visualization of Stress Distribution Caused by the Aortic Valve Deformation
Authors: Nakagawa Masashi , Mukai Nobuhiko , Niki Kiyomi , Takanashi Shuichiro
Published: April 2020

Medical and engineering technologies have developed the surgical simulators, which allow users to train for surgical skills. To perform the aortic valve replacement, which is one of the cardiovascular surgeries, it is necessary to examine not only the timing of the heart pulsating but also the stress distribution on the aortic valve. For pre-operative planning, wehave visualized the stress on the aortic valve due to the deformation of the aorta and blood stream. In our research, simulations of the deformation of the aortic valve and blood stream have been performed with 3D aorta and aortic valve models, which are composed of particles. In the simulation, the aortic valve and blood models are treated as an elastic body and Hershel-Bulkley fluid, respectively. We have used MPS (Moving Particle Semi-implicit) as the particle method; however, it is known that MPS method cannot specify the stress because the pressure among the particles on the free surfaces is zero. Then, in this paper, we propose more stable pressure calculation by considering virtual particles. As a result, visualization of the stress distribution on the aortic valve has been achieved.
Hardware Development of Baseband Transceiver and FPGA-Based Testbed in 88 and 22 MIMO-OFDM Systems
Authors: Yoshizawa Shingo , Miyanaga Yoshikazu
Published: April 2020

Multiple-input multiple-output orthogonal frequency multiplexing (MIMO-OFDM) is powerfulin enhancing communication capacity or reliance. The IEEE802.11n standard defines use of four spatial streams in spatial division multiplexing (SDM). The task group of IEEE802.11ac will extend it to eight spatial streams. We present an 88 MIMOOFDM baseband transceiver compatible with the IEEE802.11ac specification. Two 88 MMSE MIMO detectors based on Streassen’s matrix inversion have been designed for real-time MIMO detection. To demonstrate MIMO-OFDM transmission, we have prototyped a FPGA-based testbed in 22 MIMOOFDM for field experiment and video transmission.
Single-RF Diversity Receiver for OFDM System Using ESPAR Antenna with Alternate Direction
Authors: Tsukamoto Satoshi , Okada Minoru
Published: April 2020

This paper presents a single-RF diversity scheme for orthogonal frequency division multiplexing (OFDM) receiver using Electronically Steerable Passive Array Radiator (ESPAR) antenna whose direction changes alternately at the OFDM symbol rate. OFDM is widely used for mobile communication systems because of its broadband wireless transmission capability in a severe time dispersive multipath propagation channel. OFDM is, however, not efficient for mitigating the performance degradation due to fading. Diversity is an efficient technique for solving this problem. Although maximal ratio combining diversity is the most efficient technique, it requires the same number of RF front-end circuitry and analog-todigital converters (ADC) as antennas. Although ESPAR antenna-based diversity technique requires only a single-RF and ADC, the convergence is not fast enough to track fast variation of the channel state. Furthermore, it is not efficient in a frequency selective channel. In this paper, we propose a new OFDM diversity scheme using ESPAR antenna. The proposed scheme is capable of obtaining the diversity gain in a frequency selective fading environment and avoids the slow convergence rate problem in the conventional technique using ESPAR antenna. Computer simulation results show that the proposed scheme gives diversity gain in a frequency selective fading channel.
RTL Design of Joint CFO and IQ-Imbalance Compensator for Narrow-Band Wireless System
Authors: Yoshida Takuro , Nojima Daisuke , Lanante Jr Leonardo , Nagao Yuhei , Kurosaki Masayuki , Sai Baiko , Ochi Hiroshi
Published: April 2020

Direct conversion receiver is a well-known receiver architecture that enables small, low power and cheap radio. However, I/Q imbalance caused by non-orthogonality between in-phase component and quadrature-phase component from the imperfections of quadrature demodulator is a major problem in this architecture. In addition, carrier frequency offset (CFO) occurs as well. In this paper, we present a register transfer level (RTL) design of joint CFO and I/Q imbalance compensator. We verify that our system can compensate CFO from -500 Hz to 500 Hz when sampling rate is 9.6 kbps under the effect of I/Q imbalance.
Target and Equalizer Design for High-Density Bit-Patterned Media Recording
Authors: Koonkarnkhai Santi , Keeratiwintakorn Phongsak , Kovintavewat Piya
Published: April 2020

In bit-patterned media recording (BPMR) channels, the inter-track interference (ITI) is extremely severe at ultra high areal densities, which significantly degrades the system performance. The partial-response maximum-likelihood (PRML) technique that uses an one-dimensional (1D) partial response target might not be able to cope with this severe ITI, especially in the presence of media noise and track mis-registration (TMR). This paper describes the target and equalizer design for highdensity BPMR channels. Specifically, we proposes a two-dimensional (2D) cross-track asymmetric target, based on a minimum mean-squared error (MMSE) approach, to combat media noise and TMR. Results indicate that the proposed 2D target performs better than the previously proposed 2D targets, especially when media noise and TMR is severe.
Binary Classication Tree for Multiclass Classication with Observation-based Clustering
Authors: Athimethphat Maythapolnun , Lerteerawong Boontarika
Published: April 2020

Many classification techniques are originally designed to solve a binary problem, but practically many classification problems involve more than two classes. A multiclass problem can be decomposed into binary sub-problems, each solved by a binary classifier. Aside from using one-against-one (OAO) or one-against-all (OAA) decomposition scheme, an ensemble of binary classifiers can be constructed hierarchically. In this study, we focus in multiclass classification with a binary classification tree and propose a new approach in splitting a top-down tree by grouping observations into two clusters with k-mean clustering. Unlike a traditional class-clustering approach, this observation-based algorithm allows one class to appear in two meta-classes so it can be examined in both sub-trees. A data cleaning process is also performed to avoid insignificant tree splits. The experiment shows how our proposed algorithm (BCTOB) performed on different data sets, compared with other binary classification tree algorithms. Then advantages and disadvantages of the algorithm are discussed.
Mining Rare Association Rules on Banpheo Hospital (Public Organization) via Apriori MSG-P Algorithm
Authors: Ouypornkochagorn Taweechai
Published: April 2020

Mining association rule is one of the important techniques in data mining to exploit hidden knowledge in large database. Many businesses in several areas need this technique for examine their enormous information, and public health is the one area that highly requires. Several hidden information conceal in daily operation data such as relation between visit time and symptom, relation between disease and patient age, etc. By the way, association rule discovery via traditional Apriori algorithm, the fundamental way to retrieve hidden rules, has to pay with tremendous resources and time. This research implements the modification of association rule mining technique, Apriori MSG-P, in operational database of Banpheo hospital (Public Organization), Sumutsakon province, Thailand. The objectives target on epidemic information and patient behavior on hospital’s services. The research’s outcomes show that our implementation can evaluate a lot of valuable information that can be used by both of operation staffs and executive staffs. Moreover, the research’s outcomes demonstrate that Apriori MSG-P can be the proper one technique that can implement the realworld databases.
Foreword for Special Section on Papers Selected from ECTI-CON 2012
Authors: CIT ECTI
Published: April 2020

Welcome to the special section on papers selected from ECTI-CON 2012. The ECTI-CON that is the international conference sponsored by ECTI Association is annually held in cities around Thailand starting from Pattaya in 2004 and 2005, Ubon Ratchathani in 2006, Chiang Rai in 2007, Krabi in 2008, Pattaya in 2009, Chiangmai in 2010, Khon Kaen in 2011, and Cha-am in 2012. The reviewers of ECTI-CON from the beginning are well known among authors as strict quality filter so that the quality of accepted papers is highly guaranteed in the international level, and they have been published in IEEE explores since 2008.
In the special section on papers selected from ECTI-CON 2012, many authors revised their ECTI-CON-2012 papers in order to enhance the quality to fit the Transactions standard, submitted to ECTI-CIT Trans, and some revised them again according to reviewer comments. In the special section of 2012, 11 out of 29 papers finally have been accepted to publish by the judgment of international reviewers and editor team. As guest editor of the special section, I would like to express my sincere thanks to all authors for contributions in submitting and revising the research papers. The reviewers are appreciated in hard working within limited time to guarantee the paper quality of ECTI-CIT Trans.
Guest editor team of Special Section on papers selected from ECTI-CON 2012 (ECTI-CIT Trans)Suchada Sitjongsataporn (Mahanakorn University of Technology: MUT)Wanida Kanarkard (Khon Kaen University: KKU)Sartra Wongthavasu (Khon Kaen University: KKU)Kosin Chamnongthai (King Mongkut’s University of Technology Thonburi:KMUTT)
Cloud Provisioning for Work ow Application with Deadline using Discrete PSO
Authors: Netjinda Nuttapong , Achalakul Tiranee , Sirinaovakul Booncharoen
Published: April 2020

The need of cloud consumers to optimize all options offered by cloud provider has been rapidly arisen during the recent years. The consideration involves the appropriate number of VMs must be purchased along with the allocation of supporting resources. Moreover, commercial clouds may have many different purchasing options. Finding optimal provisioning solutions is thus an NP-hard problem. Currently, there are many research works discussing the cloud provisioning cost optimization. However, most of the works mainly concerned with task scheduling. In this paper, we proposed a new framework where number of purchased instance, instance type, purchasing options, and task scheduling are considered within an optimization process. The Particle Swarm Optimization (PSO) technique is used to find the optimal solution. The initial results show a promising performance in both the perspectives of the total cost and fitness convergence. The designed system provides the solutions of purchasing options with optimum budget for any specified workflow-based application based on the required performance.
Robust Digital Control for an LLC Current-Resonant DC-DC Converter
Authors: Nishimura Tomoya , Adachi Yuto , Ohta Yoshihiro , Higuchi Kohji , Takegami Eiji , Tomioka Satoshi , Jirasereeamornkul Kamon , Chamnongthai Kosin
Published: April 2020

If a pulse frequency and a load resistance of an LLC current-resonant DC-DC converter are changed, the dynamic characteristics are varied greatly, that is, the LLC current-resonant DC-DC converter has non-linear characteristics. In many applications of DC-DC converters, loads cannot be specified in advance, and they will be changed suddenly from no loads to full loads. A DC-DC converter system used a conventional single controller cannot be adapted to change dynamics and it occurs large output voltage variation. In this paper, a robust digital controllerfor suppress the change of step response characteristics and variation of output voltage in the load sudden change is proposed. Experimental studies using a micro-processor for the controller demonstrate that this type of digital controller is effective to suppress the variation.
Depth Map Renement Using Reliability Based Joint Trilateral Filter
Authors: Matsuo Takuya , Kodera Naoki , Fukushima Norishige , Ishibashi Yutaka
Published: April 2020

In this paper, we propose a renement lter for depth maps. The lter convolutes an image and a depth map with a cross computed kernel. We call the lter joint trilateral lter. Main advantages of the proposed method are that the lter ts outlines of objects in the depth map to silhouettes in the im- age, and the lter reduces Gaussian noise in other areas. The eects reduce rendering artifacts when a free viewpoint image is generated by point cloud ren- dering and depth image based rendering techniques. Additionally, their computational cost is independent of depth ranges. Thus we can obtain accurate depth maps with the lower cost than the conventional ap- proaches, which require Markov random eld based optimization methods. Experimental results show that the accuracy of the depth map in edge areas goes up and its running time decreases. In addition, the lter improves the accuracy of edges in the depth map from Kinect sensor. As results, the quality of the rendering image is improved.
Case Studies: Business and Technical Perspectives in Migration of Legacy Systems to Service Oriented Architecture
Authors: Galinium Maulahikmah , Shahbaz Negar
Published: April 2020

In adoption process of Service Oriented Architecture (SOA), the legacy systems of a company can not be neglected. The reason is the legacy systems have been deployed in the past and have been running critical business processes within an enterprise in its current IT architecture. However not all migration process of legacy systems to SOA has been successfull. Highlighting the right factors to reach legacy systems migration success in a specific company is the key value. The main adopted research method in this study has been interviewed for different companies with different enterprises including bank, furniture, engineering and airline companies in Europe. Through separate interviews, critical success factors of migrating legacy systems into SOA have been collected and identified in each case company. Finally collected results are analyzed and presented as the recognized factors affecting successful migration oflegacy assets into SOA from business and technical perspectives.
A Novel Application to Image Restoration Based on Regularized SL0 Algorithm in Frequency Domain
Authors: Hong Ha Pham , Patanavijit Vorapoj
Published: April 2020

In these recent years, Compressive Sensing (CS) is becoming an attractive topic in the field of Information Theory. It is widely used in several area including networking, image processing and digital camera. In particular, image reconstruction based on small number of measured components is known as the most useful application. In this paper, SL0 algorithm is specially used for the reconstruction process. It significantly decrease the processing time by utilizing a matrix in which the number of row is much smaller than number of column. Therefore, SL0 is known as one of the fastest and most accurate algorithm in CS. However due to ill-posed condition, if the prior information of the original image is undetermined, the reconstruction procedure of SL0 is much affected by the noise. Unfortunately, the investigation for solving this SL0 ill-posed condition is very limited therefore SL0 is not widely applied in many application. Consequently, this paper proposes a novel regularization technique for SL0 algorithm in the frequency domain. In order to reduce and constraint the space of reconstructed image, the frequency domain Tikhonov regularization technique is employed. It is shown that the quality of the reconstructed image is much better compared to the traditional algorithm under the noisy environment. The experimental result is exclusively simulated for 3 images: Lena, Sussie and Cameraman under both Gaussian and Non-Gaussian noise models (such as AWGN, Poisson noise, Salt & Pepper noise and Speckle noise) at different noise powers.
The Parameterization of all Disturbance Observers for Time-Delay Plants with any Input and Output Disturbances
Authors: Hu Jie , Yamada Kou , Sakanushi Tatsuya
Published: April 2020

In this paper, we examine the parameterization of all disturbance observers for time-delay plants with any input and output disturbances. The disturbance observers have been used to estimate the disturbance in the plant. Several papers on design methods of disturbance observers have been published. Recently, the parameterization of all disturbance observers for plants with any input and output disturbances was clarified. However, no paper examines the parameterization of all disturbance observers for time-delay plants with any input and output disturbances. In this paper, we propose parameterizations of all disturbance observers and all linear functional disturbance observers for time-delay plants with any input and output disturbances.
Effects of TiO2 capping layer on reset current of lateral phase change memory
Authors: Sainon Santipab , Sa-ngiamsak Chiranut
Published: April 2020

Lateral Phase Change Memories (LPCMs) gained a lot of interesting due to its simpler fabrication process and lower reset current comparing with verticalstructure phase change memories. The capping layer can be easily fabricated and changed on the active phase-change region of LPCM. The knowledge of capping layer on the thermal generation and diffusion on LPCM can provide an alternative design approach to alleviate the high reset current issue of PCM. The location and thickness of TiO2 capping layer were studied in order to achieve higher power consumption efficiency using finite element analysis. The four LPCM structures with various location of capping layer were modelled. The simulation results found that addition of TiO2 capping layer can increase power efficiency. The suitable location to place TiO2 capping layer is at the centre of the active phase-change layer found in Model 4. The thickness of capping layer was developed based on Model 4; and thickness of 40nm was given the best result. The combination of proper location and thickness of TiO2 capping layer can offer a reduction of the LPCM reset current by 24%.
On the output feedback control of discrete-valued input systems
Authors: Sawada Kenji , Shin Seiichi
Published: April 2020

This paper considers an output feedback control for quantized feedback systems. Our controller focuses on high accuracy control performance for embedded devices with low-resolution AD/DA converters and networked systems with band-limited channels. The synthesis problem we address is the simultaneous synthesis of the nominal controller and the delta-sigma modulator (where the modulators are called the dynamic quantizers). For certain systems, we provide closed form and numerical solutions for the synthesis problem based on the invariant set analysis and the LMI technique. First, this paper proposes a synthesis condition that is recast as a set of matrix inequality conditions. The condition reduces to a tractable numerical optimization problem. Second, a closed form solution of optimal controller for the quantized feedback system is clarified within the invariant set framework. Third, we discuss the controller synthesis conditions which are characterized by the transmission zero property. Finally, to verify the validity of our method, numerical examples are presented and then the contributions related to the existing dynamic quantizer synthesis are clarified.
Robust Digital Control for Interleaved PFC Boost Converter Using Approximate 2DOF
Authors: Satake Yuki , Furuya Hiroyuki , Mochizuki Yohei , Fukaishi Yuji , Higuchi Kohji , Chamnongthai Kosin
Published: April 2020

In recent years, improving of power factor and reducing harmonic distortion in electrical instruments are needed. In general, a current conduction mode boost converter is used for active PFC (Power Factor Correction). In a PFC boost converter, if a duty ratio, a load resistance and an input voltage are changed, the dynamic characteristics are varied greatly. This is the prime reason of difficulty of controlling the interleaved PFC boost converter. In this paper, a robust digital controller for suppressing the change of step response characteristics and variation of output voltage at a DC-DC buck converter load sudden change with high power factor and low harmonic is proposed. Experimental studies using a micro-processor for controller demonstrate that the proposed digital controller is effective to improve power factor and to suppress output voltage variation.
A Novel Strategy for Formal Verication of Asynchronous Circuit Design in PAiD tool
Authors: Nguyen Tin Thien , LE-HUU Khoi-Nguyen , Bui Thang H. , Dinh-Duc Anh-Vu
Published: April 2020

EDA has been proposed for a long time as a category of reliable software tools for designing electronic systems. Although some of them have been considered as powerful tools for asynchronous circuits, a prominent approach to cope with the biggest defect of synchronous circuits: clock distribution issue, researches in verifying the correctness of those circuits are still limited. Therefore, an enhanced version of PAiD, an EDA tool that has been developed at Ho Chi Minh City University of Technology (HCMUT), will be proposed in this work along with case studies. It will enable engineers not only design, synthesize asynchronous circuits but also verify them. Furthermore, a good strategy to improve the verifying performance is also discussed.
Crowd Aided Web Search: Concept and Implementation
Authors: Tseng Chun-Hsiung
Published: April 2020

Although keyword-based search algorithms usually do their jobs well, they may sometimes yield weird results. Despite of the fact that theWeb is the largest database, comparing to relational databases, the set of search operations for the Web is still primitive. This paper proposes two ways to remedy this: first, advanced information sources should be created. The role of advanced information sources of the Web is analogous to views of relational databases. Second, we propose several data processing tools based on the concept of advanced information sources. With these two mechanisms, the researcher tries to distinguish the data-centric view from the presentation view of the Web. In the paper, both the concept and an implementation are proposed.
Scheduling Parallel Work ow Applications with Energy-Aware on a Cloud Platform
Authors: Thanavanich Thanawut , Uthayopas Putchong
Published: April 2020

An inefficient energy consumption of computing resources in a large cloud datacenter is a very important issue since the energy cost is now a major part of the operating expense. In this paper, the challenge of scheduling a parallel application on a cloud platform to achieve both time and energy efficiency is addressed by two new proposed algorithms Enhancing Heterogonous Earliest Finish Time (EHEFT) and Enhancing Critical Path on a Processor (ECPOP). The objective of these two algorithms is to reduce the energy consumption while achieving the best execution makespan. The algorithms use a metric that identifies and turns off the inefficient processors to reduce energy consumption. Then, the application tasks are rescheduled on fewer processors to obtain better energy efficiency. The experimental results from the simulation using real-world application workload show that the proposed algorithms not only reduce the energy consumption, but also maintain an acceptable scheduling quality. Thus, these algorithms can be employed to substantially reduce the operating cost in a large cloud computing system.
Parallel Similarity Join with Data Partitioning for Prex Filtering
Authors: Chongstitvatana Jaruloj , Bhirakit Methus
Published: April 2020

Similarity join is necessary for many applications, such as text search and data preparation. Measuring the similarity between two strings is expensive because inexact match is allowed and strings in databases are long. To reduce the cost of similarity join, the filtering-and-verify approach reduces the number of string pairs which require the computation of the similarity function. Prefix filtering is a filterand- verify method that filters out dissimilar strings by examining only their prefixes. The effectiveness of prefix filtering depends on the length of the examined prefix. An adaptive method is proposed to find a suitable prefix length for filtering. Based on this concept, we propose to divide a dataset into partitions, and a suitable prefix length is determined for each partition. It also allows similarity join to run in parallel for each data partition. From our experiment, the proposed method achieves higher performance because the number of candidates is reduced and the program can execute in parallel. Moreover, the performance of the proposed method depends on the number of data partitions. If the data partition is too small, the chosen prefix length for each partition may not be optimal.
A Joint SVD based Watermarking and Encryption Scheme using Chaotic Logistic Map
Authors: Saikia Monjul , Majumder Swanirbhar
Published: April 2020

Copyright protection and secrecy of some sensitive data is essential in this present digital era which deals with the advances in cloud computing and big data analytics. Digital watermarking is a popular method for copyright protection whereas cryptography takes care in hiding information as well as for secure transmission of data in a manner that is unreadable to a third party. Combination of both these techniques enhances the security and copyright protection aspects for the concealment of transmitted information. This paper presents a way of achieving those by combining both of these methods together as a joint scheme. Here a robust SVD based algorithm is proposed for embedding a watermark on a host image and then encrypts the resultant stego-image using chaotic logistic map in DCT coefficients. The decryption process is non-blind and requires the help of the key used in encryption. The joint algorithm has been found to be image independent due to its good performance for several popular test images.
Joint Optimal Resource Allocation and PAPR Reduction Algorithm for OFDMA Systems
Authors: Phoomchusak Pattama , Pirak Chaiyod
Published: April 2020

One of the drawbacks of an orthogonal frequency division multiplexing (OFDM) system is the larger peak to averaged power ratio (PAPR). The PAPR reduction scheme is a complicated problem, especially when a resource allocation is considered jointly. In this paper, a joint algorithm for determining an optimal resource allocation with PAPR awareness is proposed. Firstly, an adaptive tone reservation assignment is performed by optimally choosing a group of subcarriers, whose channel gains are sufficiently high, to be the data subcarriers and the remaining subcarriers will be used as the reserved tones for reducing PAPR to the desired level. Secondly, an adaptive power adjustment for PAPR reduction technique is introduced for determining the allocated power of data subcarriers by using the water-filling approach with the joint PAPR and capacity constraints. By using the proposed joint algorithm, the PAPR threshold level is satisfied while the desired capacity could be achieved. From the results, the proposed algorithm achieves the better results comparing with a conventional partial transmit sequence (PTS) technique and the tone reservation (TR) technique in terms of PAPR, and probability of error performances, in which the side information is not required, in contrast with the other techniques.
A Novel technique for Reference Node Placement in Wireless Indoor Positioning Systems based on Fingerprint Technique
Authors: Kondee Kittipob , Aomumpai Supattra , Prommak Chutima
Published: April 2020

Accuracy of location determination is one of the keys to success for any indoor positioning system. This performance metric is influenced by how reference nodes (RNs) are installed. However, most of existing research studies ignored the problem of optimal reference node placement and efficient system design for indoor positioning systems. In this paper, we propose a novel technique using heuristic approach that can design suitable location to install the reference nodes and improve the location determination performance for a single-floor area and the multi-floor building. A mathematical formulation of reference node placement is developed as a Binary Integer Linear Programming (BILP) problem. The proposed formulation aims to minimize the number of reference nodes and derive their suitable locations for the indoor positioning systems. We developed an efficient solution technique based on Simulated Annealing algorithm (SA), called Maximizing Summation of the Maximum RSS for Multi-floor building (MSMR-M). The results from performance study show that by using the proposed RN placement technique, the indoor positioning systems can gain up to five meters of accuracy at 90% precision for single-floor building. Moreover, in the case of the multi-floor building, the proposed technique can improve the error distances up to 20% which is better than those of the other techniques. The proposed technique can provide an average error distance within 1.42 meters where the grid spacing of fingerprint is 2m2m.
Vertical Edge Detection-Based Automatic Optical Inspection of HGA Solder Jet Ball Joint Defects
Authors: Ieamsaard Jirarat , Yammen Suchart , Muneesawang Paisarn , Sandnes Frode Eika
Published: April 2020

The Head Gimbal Assembly (HGA) is an essential hard disk drive (HDD) component allowing data to be read from and written to the media. Defects on the HGA may affect the data read/write process and reduce the quality of the HDD. Therefore, HGA inspection needs to be improved during HDD manufacturing. This paper describes an image processing method that automate the optical inspection of HGA solder jet ball joint defects. Vertical edge detection methods are proposed for identifying defects. The performance of the vertical edge detection method is compared to a Sobel-based method, Roberts’ method and a Prewitt’s method. The methods were tested with 18,123 HGA images. The experimental results show that the vertical edge detection method outperforms the other methods, which had an accuracy of 99.3%, as compared to the Sobel based method, with an accuracy of 80% and 78.2 for Roberts’ method and 65.9 for Prewitt’s method.
Sentiment Analysis of Food Recipe Comments
Authors: Pugsee Pakawan , Niyomvanich Monsinee
Published: April 2020

Sentiment analysis of food recipe comments is to identify user comments about the food recipes to the positive or the negative comments. The proposed method is suitable for analysing comments or opinions about food recipes by counting the polarity words on the food domain. The benefit of this research is to help users to choose the preferred recipes from different food recipes on online food communities. To analyse food recipes, the comments of each recipe from members of the community will be collected and classified to neutral, positive or negative comments. All recipes’ comment messages are processed using text analytics and the generated polarity lexicon. Therefore, the user can gain the information to make a smart decision. The evaluation of the comment analysis shows that the accuracy of neutral and positive comment classification is about 90%. In addition, the accuracy of negative comment identification is more than 70%.