bluuebunny/crossref_metadata_2025 huggingface dataset:
An Application of the Probabilistic Model to the Prediction of Student Graduation Using Bayesian Belief Network
Authors: Yingkuachat Jiraporn , Praneetpolgrang Prasong , Kijsirikul Boonserm
Published: April 2020

This paper proposes an alternative to the prediction of education accomplishment. It employs a data mining technique, the Bayesian belief network (Bayes net). The technique is used to analyze the independent variables that affect the education accomplishment result of vocational students, undergraduate students and graduate students. The machine learning tool, WEKA, is used to construct the prediction model that is accurate for the prediction based on k-fold cross-validation. The experimental result shows that the Bayes net technique is able to determine important variables for the prediction of the result of education accomplishment and this technique provides high prediction accuracy. From the models constructed by WEKA, we find that the important variables that affect the education accomplishment are the previous GPA., mother and or fathers career, the total income of the family and the grade point average when they enter the first year in bachelor study. The obtained result is consistent with the result analyzed by multiple regression analysis.
Image Compression using Modified Haar Wavelet-Base Vector Quantization
Authors: Jitkam Anusorn , Wongthanavasu Satra
Published: April 2020

This research presents an image compression algorithm using modified Haar wavelet and vector quantization. For comparison purposes, a standard Haar wavelet with vector quantization and SPIHT, which is used in JPEG2000, are compared with the proposed method using Peak Signal-to-Noise Ratio (PSNR). The proposed method shows better results on average over the compared methods.
An Analysis of a Close-Type Queuing System with General Service-Time Distribution
Authors: Yoshioka Yoshio , Nagase Tomoyuki
Published: April 2020

This paper presents an innovative approach to solve probability distributions of a close feed back loop type queuing system with general service time distribution. This model is applied to a multiprocessor system where some of its nodes are performed a repair procedure during a nodes malfunction condition. Our model is appropriate for a multiprocessor system that employs a common bus or for a multi-node system in computer networks. A meticulous analysis of the systems model has been conducted and numerical results have been obtained to scrutinize the proposed model.
A Ubiquitous Processor Built-in a Waved Multifunctional Unit
Authors: Fukase Masa-aki , Sato Tomoaki
Published: April 2020

In developing cutting edge VLSI processors, parallelism is one of the most important global standard strategies to achieve power conscious high performance. These features are more critical for ubiquitous systems with great demands for multimedia mobile processing. Then, one of most important issues for ubiquitous systems is instruction scheduling, because floating point units indispensable for multimedia mobile applications take longer latency than integer units. Although software parallelism has been inevitable to fully utilize hardware parallelism between regular scalar units, it has been really awkward. Thus, we describe in this article a double scheme to achieve instruction scheduling free ILP (instruction level parallelism) and apply the double scheme to a ubiquitous processor HCgorilla we have so far developed. The double scheme is the multifunctionalization of scalar units and making a resultant multifunctional unit (MFU) wave-pipeline. The multifunctionalization frees the instruction scheduling, and the wave-pipelining recovers the reduction of clock speed to be caused by the scale up of a multifunctional circuit. HCgorilla built-in the waved MFU is promising for wide-range dynamic ILP at a rate higher than regular processors.
State-Space Estimation for OFDM and SC-FDE Schemes with Strongly Varying Carrier Frequency Offset
Authors: Pedrosa Pedro , Dinis Rui , Nunes Fernando
Published: April 2020

Parametric algorithms for the estimation of rapidly-varying Carrier Frequency Offset (CFO) usually employ pilot symbols multiplexed with the data transmission. As the CFO variation rate increases so has to increase the density of pilot symbols transmitted, thus impairing the bandwidth efficiency. In order to reduce the number of pilot symbols used in the estimation of rapidly-varying CFO it was proposed to use a truncated Taylors series to predict the CFO, where the derivatives up to order d-1 are recursively estimated with a d-order Kalman filter (KF).We propose to compare the performance of a fourth-order KF predictor in the most popular block transmission systems: Orthogonal Frequency Division Multiplexing (OFDM) and Single Carrier Frequency-Domain Equalization (SC-FDE). Simulating different transmission scenarios, e.g., channel coding and spatial diversity, our results show that for static multipath fading channels the proposed receiver for the SC-FDE scheme exhibits better Bit Error Rate (BER) performance than that of OFDM.
Efficient Subsequence Search on Streaming Data Based on Time Warping Distance
Authors: Rodpongpun Sura , Niennattrakul Vit , Ratanamahatana Chotirat Ann
Published: April 2020

Many algorithms have been proposed to deal with subsequence similarity search problem in time series data stream. Dynamic Time Warping (DTW), which has been accepted as the best distance measure in time series similarity search, has been used in many research works. SPRING and its variance were proposed to solve such problem by mitigating the complexity of DTW. Unfortunately, these algorithms produce meaningless result since no normalization is taken into account before the distance calculation. Recently, GPUs and FPGAs were used in similarity search supporting subsequence normalization to reduce the computation complexity, but it is still far from practical use. In this work, we propose a novel Meaningful Subsequence Matching (MSM) algorithm which produces meaningful result in subsequence matching by considering global constraint, uniform scaling, and normalization. Our method significantly outperforms the existing algorithms in terms of both computational cost and accuracy.
Foreword for Special issue on Advanced Image Technology
Authors: CIT ECTI
Published: April 2020

ECTI-CIT
Client Driven System of Depth Image Based Rendering
Authors: Fukushima Norishige , Ishibashi Yutaka
Published: April 2020

In this paper, we propose systems which can render free viewpoint images by using depth image based rendering for live video communications. Experimental results show that an image and depth transmission system is more suitable than an all multi view transmission and an only free viewpoint image transmission system. Especially in the image and depth transmission system, transmitting two images and one depth map, and then predicting the opposite depth map is the best for live communication.
Moving Objects Segmentation at a Traffic Junction from Vehicular Vision
Authors: Tan Joo Kooi , Ishikawa Seiji , Sonoda Shinichiro , Miyoshi Makoto , Morie Takashi
Published: April 2020

Automatic extraction/segmentation and the recognition of moving objects on a road environment is often problematic. This is especially the case when cameras are mounted on a moving vehicle (for vehicular vision), yet this remains a critical task in vision based safety transportation. The essential problem is twofold: extracting the foreground from the movingbackground, and separating and recognizing pedestrians from other moving objects such as cars that appear in the foreground.The challenge of our proposed technique is to use a single mobile camera for separating the foreground from the background, and to recognize pedestrians and other objects from vehicular vision in order to achieve a low cost and intelligent driver assistance system. In this paper, the normal distribution is employed for modelling pixel gray values. The proposed technique separates the foreground from the background by comparing the pixel gray values of an input image with the normal distribution model of the pixel. The model is renewed after the separation to give a new background model for the next image. The renewal strategy changes depending on if the concerned pixel is in the background or on the foreground. Performance of the present technique was examined by real world vehicle videos captured at a junction when a car turns left or right and satisfactory results were obtained.
Storage of Usage Information on Research Resource Metadata Database: Corpus Construction Using Academic Articles
Authors: Kozawa Shunsuke , Tohyama Hitomi , Uchimoto Kiyotaka , Matsubara Shigeki
Published: April 2020

Recently, language resources have become indispensable for linguistic researches. However, existing language resources are seldom fully utilized because their variety of usage is not well known, indicating that their intrinsic value is not recognized very well either. Regarding this issue, lists of usage information might improve language resource searches and lead to their efficient use. In this research, therefore, we collect a list of usage information for each language resource from academic articles to promote the efficient utilization of language resources. This paper describes the construction of a text corpus annotated with usage information (UI corpus). In particular, we automatically extract sentences containing language resource names from academic articles. Then, the extracted sentences are annotated with usage information by two annotators in a cascaded manner. We will show that the UI corpus contributes to efficient language resource searches, by combining the UI corpus with a metadata database of language resources and comparing the number of language resources retrieved with and without the UI corpus.
A Fuzzy Backstepping Control of a Mobile Manipulator with Torque Limits Avoidance
Authors: Boukattaya Mohamed , Damak Tarak , Jallouli Mohamed
Published: April 2020

In this paper, we present a dynamic redundancy resolution technique for mobile manipulator subject to joint torque limits. First, the dynamic model of the mobile manipulator in feasible motion space is given. Next, a control algorithm is proposed which completely decouples the motion of the system into the end-effector motion in the task space and an internal motion in the null space and controls them in prioritized basis with priority given to the primary task space and enables the selection of characteristics in both subspaces separately. A special attention is given to the joints torque limits avoidance where a new weighted pseudo-inverse of the Jacobian that accounts for both inertia and torque limits is proposed to solve problems inherent to torque limits of the system. Simulation results are given to illustrate the coordination of two subsystems in executing the desired trajectory without violating the joint torque limits.
Foreword
Authors: CIT ECTI
Published: April 2020

ETI-CIT
Neural Mechanisms of Bias and Sensitivity in Animal Models of Decision Making
Authors: Nishida Hiroshi , Takahashi Muneyoshi , Bird Gary D. , Lauwereyns Jan
Published: April 2020

Animals perceive stimuli in their environment and are required to make motor responses according to this perception. The perception-to-action mechanisms rely on the accumulation of neural activity in specific areas of the brain that need to reach a threshold in order for the action to be initiated. These mechanisms can be influenced by various types of information and prospective outcomes; that is, contextual factors can speed up or slow down the processes. Here we describe how behavioral paradigms coupled with neural recordings can illustrate two basic features of the speeding up (or slowing down) of the perception-to-action mechanisms. The features are bias (a general increase in decision activity prior to stimulus onset) and sensitivity (a change in the cumulative firing rate up to a decision point). We thenpropose the direction for future research emphasizing the need to examine bias and sensitivity with a focus on dynamics.
Classication Models Based-on Incremental Learning Algorithm and Feature Selection on Gene Expression Data
Authors: Meesad Phayung , Wichian Sageemas Na , Herwig Unger , Saengsiri Patharawut
Published: April 2020

This Gene expression data illustrates levels of genes that DNA encodes into the protein such as muscle or brain cells. However, some abnormal cells may evolve from unnatural expression levels. Therefore, finding a subset of informative gene would be beneficial to biologists because it can identify discriminative genes. Unfortunately, genes grow up rapidlyinto the tens of thousands gene which make it difficult for classifying processes such as curse of dimensionality and misclassification problems. This paper proposed classification model based-on incremental learning algorithm and feature selection on gene expression data. Three feature selection methods: Correlation based Feature Selection (Cfs), Gain Ratio (GR), and Information Gain (Info) combined with Incremental Learning Algorithm based-on Mahalanobis Distance (ILM). Result of the experiment represented proposed models CfsILM, GRILM and InfoILM not only to reduce many dimensions from 2001, 7130 and 4026 into 26, 135, and 135 that save time-resource but also to improve accuracy rate 64.52%, 34.29%, and 8.33% into 90%, 97.14%, and 83.33% respectively. Particularly, CfsILM is more outstanding than other models on three public gene expression datasets.
Interference Study of Medical Body Area Network for Proactive Performance Improvement
Authors: Fang Gengfa , Dutkiewicz Eryk , Vesilos Rein
Published: April 2020

Medical Body Area Network (MBAN) is a new wireless communications technology designed to sense human’s vital signals through tiny nodes in, on and around the human body wirelessly. MBAN will play an important role in enabling ubiquitous and noninvasive telemetry and healthcare systems in the future. In this paper, we analyze the interference in MBAN both from legacy wireless networks and neighbouring MBANs. We then study the possible solutions to fight against these interferences in MBAN including the channel sharing scheme to solve the inter-network interference. Experiments are carried out based on MQWIN400 radio platform to studythe wireless channel in 400MHz band. We found the receiver’s mobility makes the channel quite dynamic because of multipath effect.
Isolated Word Recognition Based on Combination of Multiple Noise-Robust Techniques
Authors: Hayasaka Noboru
Published: April 2020

Although many noise-robust techniques have been presented, the improvement under low SNR condition is still insufficient. The purpose of this paper is to achieve the high recognition accuracy under low SNR condition with low calculation costs. Therefore, this paper proposes a novel noise-robust speech recognition system that makes full use of spectral subtraction (SS), mean variance normalization (MVN), temporal filtering (TF), and multi-condition HMMs (MC-HMMs). First, from the results of SS with clean HMMs, we obtained the improvement from 46.61% to 65.71% under 0 dB SNR condition. Then, SS+ MVN+TF with clean HMMs improved the recognition accuracy from 65.71% to 80.97% under the same SNR condition. Finally, we achieved the further improvement from 80.97% to 92.23% by employing SS+MVN+TF with MC-HMMs.
Proposal of QAM-OFDM System with IDAR Method Designed for Satellite Channel
Authors: Boonsrimuang Pornpawit , Boonsrimuang Pisit , Paungma Tawil , Kobayashi Hideo
Published: April 2020

The future satellite communication systems are required to support the higher transmission data rate for providing multimedia services by employing the efficient modulation method such as multilevel QAM. However, the employment of conventional single carrier transmission method with multi-level QAM which has larger PAPR (Peak to Averaged Power Ratio) would cause the fatal degradation of signal quality due to the non-linear amplifiers located at the earth station and satellite. To overcome this problem, this paper proposes broadband satellite communication systems by using the multilevel QAM-OFDM technique with IDAR (Improved Decision Aided Reconstruction) method, which is designed for satellite channel. In the IDAR method, the characteristics of non-linear amplifiers are required to be known at the receiver for mitigating the intermodulation noise. This paper also proposes the estimation method for AM-AM and AM-PM conversion characteristics of non-linear amplifiers by using low PAPR preamble symbols. The various computer simulations are conducted in this paper to verify the effectiveness of proposed system in the non-linear satellite channel.
On the improvement of search enging using semantic web: case study of Hua Hin tourism information system
Authors: Choksuchat Chidchanok , Chantrapornchai Chantana
Published: April 2020

This paper describes how to improve the search engine using the ontology for the semantic web technology, the case study on a prototype Hua Hin tourism web page. The methodology contains two parts. First, we describe a way to compute query complexity between the relational database (RDB) and web ontology language (OWL). We present the original RDB, convert to the OWL, and consider the query complexity with the searching time of the prototype system. A number of facts in the ontology, and a number of conjuncts in the conjunctive queries are considered as parameters. The goal is to improve the search engine by reducing the query complexity. Second, the SPARQL queries in web application are considered from the classification and realization of the reasoner. We study from the existing ontology, increasing OWL DL rules, and consider the expressivity. We then compare the searching time between top-down and bottom-up approaches. The advantages are to select the appropriate inference problems for query response through the web application. The prototype Hua Hin semantic web is used to present our methodology throughout the paper.
QoS Assured Multi-rate H.264 Scalable Video Multi-cast with Network Coding in Lossy Networks
Authors: Kumwilaisak Wuttipong , Tarnoi Saran
Published: April 2020

This paper proposes a new multi-rate H.264 scalable video multicast in lossy network using network coding. We first prioritize video layer based on its effect to the end-to-end video quality. Each video layer is routed via the path obtained from the optimization framework under the constraints on quality of service (QoS) guarantees. The data transmissions of lower layers, which are more important for decoding process in video reproduction, are assigned to more reliable paths with QoS guarantee to further improve user’s experience. Different destinations may receive different numbers of video layers depending on their network resources. The bottleneck in the network is resolved by using network coding technique to ensure that all destinations can receive the data rates equaling their theoretical data rates, i.e., max flows. The network coding is only applied within the same layer to ensure its QoS guarantee. Simulation and numerical results under randomly generated networks show the advantage of the proposed scheme in terms of objective and subject qualities of the end-to-end video transmission.
Using NViz tool for Environmental Sensor Networks
Authors: Dinh-Duc Anh-Vu
Published: April 2020

Visualization tools help users to observe the status of the Wireless Sensor Networks (WSNs). Although various visualization tools have been created for certain projects so far, these tools can only be used in certain scenarios, due to their hard-coded packet formats and network’s properties. To speed up development process, a visualization tool which can adapt to any kind of WSN is essentially necessary. A generalpurpose visualization tool - NViz, which can represent and visualize data for all WSN applications, is proposed. NViz allows user to set their network’s properties and packet formats through XML files. Based on properties defined, user can choose the meaning of them and let NViz represents the data respectively. Furthermore, a better Replay mechanism, which lets researchers and developers debug their WSN easily, is also integrated in this tool. NViz is designed based on a layered architecture which allows for clear and well-defined interrelationships and interfaces between each components. As a demonstration, NViz is used for designing an environmental sensor network.
Design and Modeling of Highly Power efficient Node-level DC UPS
Authors: Kwon Wonok
Published: April 2020

This paper presents design and modeling of a highly efficient node-level DC uninterruptible power supply (UPS) in rack-level DC power architecture. In the previous research, we proposed the architecture of the highly efficient rack-level DC system combined with node-level DC UPS. This paper deals with the design and modeling of proposed node-level DC UPS.
A Study of Classroom Acoustics and Its Effects of Listeners’ Locations on Speech Intelligibility
Authors: Sodsri Chukiet
Published: April 2020

Attending a class and listening to a lecture given by an instructor is a common process in Thailand education. Ability of learning is affected by the ability of hearing the instructors’ speech. Acoustical environments of the classroom, hence, can influence speech intelligibility. In this research, acoustical parameters and listeners’ locations in classrooms and their effects on the speech intelligibility were studied. By using an assumption of linear systems of the classrooms, the room reverberation, background noise, and other classroom acoustical factors can be implicated as impulse responses of the system. Maximum length sequence was used to identify the impulse responses at listeners’ locations in the classrooms. A clean speech, recorded in a semi-anechoic room, was convoluted with a series of the measured classrooms’ impulse responses to yield a set of simulated reverberant speeches that the listener at each location in the classes would have heard. A number of volunteers were invited to test an ability of understanding the speech. The experimental results showed that the reverberation and background noise at listeners’ locations severely affected the speech intelligibility. A classroom, that seemed to have a good averaged reverberation time, did not always yielded good speech clarity for all the locations in the class. In fact, for the classroom used in the study, the rear section of the class was poor for intelligibility and the back corner closed to a noise source was the worse location for speech hearing.
The parameterization of all two-degree-of-freedom strongly stabilizing controllers
Authors: Hoshikawa Tatsuya , Yamada Kou , Tatsumi Yuko
Published: April 2020

When a plant can be stabilized by using a stable controller, the controller is said to be a strongly stabilizing controller. The importance of strong stabilizations is to solve some problems occurred by using unstable stabilizing controllers, for example, feedback control systems become high sensitive for disturbances. Parameterizations of all strongly stabilizable plants and of all stable stabilizing controllers have already proposed. However, stable stabilizing controllers designed by using their parameterization cannot specify the input-output characteristic and the feedback characteristic separately. One of the ways to specify these characteristics separately is to use a twodegree-of-freedom control system. However, the parameterization of all two-degree-of-freedom strongly stabilizing controllers has not been examined. The purpose of this paper is to propose the parameterization of all two-degree-of-freedom strongly stabilizing controllers for strongly stabilizable plants.
Rainfall eld reconstruction using rain attenuation of microwave mesh networks
Authors: Abrajano Gemalyn Dacillo , Okada Minoru
Published: April 2020

Rainfall detection using commercial communication links can complement the existing weather satellite and radar system. Using the rain attenuation data from these networks, the paper proposes a new method of reconstructing the rainfall field through a compressed-sensing based algorithm. Compressed sensing is a new algorithm that can reconstruct a sparse signal from a relatively small number of measurements. System configurations of two links and three links crossing a single area are studied and the detection accuracies for rain location and attenuation level are evaluated. The proposed method is also tested for different climate and weather patterns. The results show that the proposed method has good location detection accuracy, and the rain intensity was reconstructed as well. The proposed detection system and reconstruction method can greatly benefit the tropical countries that experience frequent rains but do not have enough resources for weather forecasting and detection of possible disaster-inducing rain events.
Block-Adaptive Lattice Vector Quantization in Image Coding
Authors: Patchoo Wisarn , Fischer Thomas R.
Published: April 2020

A subband image coding algorithm is described based on lattice-based spherical VQ and lattice-based pyramid VQ. The algorithm partitions a subband (or wavelet) decomposed image into blocks of various sizes, depending on their energy and complexity constraints on the enumeration encoding of lattice codevectors. Each block is lattice vector quantized and encoded using a product code. The algorithm is simple and effective, exploiting energy clustering in a wavelet transformed image. Using the integer lattice, the algorithm provides performance slightly better than the Set-Partitioning Embedded Block (SPECK) algorithm, and is competitive with JPEG2000 and the set partitioning in hierarchical trees (SPIHT) algorithm.
A performance comparison of two PWS filters in different domain for image reconstruction technique under different image types
Authors: Srisomboon Kanabadee , Srisaiprai Supap , Thongdit Preecha , Patanavijit Vorapoj , Lee Wilaiporn
Published: April 2020

Due to many factors that can be degraded an image quality from the desired version. Image reconstruction application is the method that aims to recover those degradations based on mathematical and statistical models. Partition-based weighted sum (PWS) filtering is one of the most effective techniques for application of an image restoration and reconstruction. In this paper, we compare two PWS filters in both frequency and spatial domain under several image types. Two PWS filters include hard partitionbased weighted sum (HPWS) filter and subspace hard partition-based weighted sum (S-HPWS) filter. Five image types are considered including aerial images, human images, miscellaneous images, object images and text images. The simulation results show that the spatial domain HPWS filter offers the best performance when we apply to restore object image, but this filter not successful in term of memory usage and complexity of computation. Frequency domain S-HPWS filter, which required less memory and computation time using PCA technique to reduce size of data, offers good performance when we attempt to restore miscellaneous image. On the other hand, text image gets poor performance from all types of filters.
Secure Multicast Group Communication Scheme in Wireless IPv6 Networks
Authors: Mehdizadeh Abbas , Hashim Fazirulhisyam , Abdullah Raja S. Azmir Raja
Published: April 2020

Key management is one of the challenging issues in group communications. It is generally used to secure multicast data transmission as well as preventing potential eavesdropping by malicious attackers. Group security key should be maintained for data encryption, while group key update and dissemination processes are required when a new user joins or leaves the group, which eventually lead to high communication and computation cost. Since eavesdrop activities can be initiated by capturing the disseminated keys, higher communication and computation cost due to frequent updates also increase the possibility of attack of multicast transmission. In this paper, a key management scheme for IPv6 networks is proposed to reduce communication and computation cost and therefore, fewer security risks. The obtained results from test-bed implementation show the efficiency of proposed scheme in terms of communication and computation cost, number of updated paths and security index due to key updating, while at the same time achieving both forward and backward secrecy.
A Design Method for Robust Stabilizing Modied Repetitive Controllers for Multiple-Input/Multiple-Output Time-Delay Plants with Specied Input-Output Characteristic
Authors: Zhao Yun , Yamada Kou , Sakanushi Tatsuya , Tohnai Satoshi
Published: April 2020

The modified repetitive control system is a type of servomechanism for a periodic reference input. When modified repetitive control design methods are applied to real systems, the influence of uncertainties in the plant must be considered. In some cases, uncertainties in the plant make the control system unstable, even though the controller was designed to stabilize the nominal plant. Recently, Chen et al. propose the parameterization of all robust stabilizingmodified repetitive controllers for multipleinput/ multiple-output time-delay plants. However, using their method, it is complex to specify the lowpass filter in the internal model for the periodic reference input of which the role is to specify the inputoutput characteristic. Because, the low-pass filter is related to four free parameters in the parameterization. To specify the input-output characteristic easily, this paper proposes the parameterization of all robust stabilizing modified repetitive controllers for multiple-input/multiple-output time-delay plants with specified input-output characteristic such that the input-output characteristic can be specified beforehand.
Proposal of Channel Estimation Method for ITS systems by using STBC MIMO-OFDM
Authors: Mata Tanairat , Naito Katsuhiro , Boonsrimuang Pisit , Mori Kazuo , Kobayashi Hideo
Published: April 2020

This paper proposes a new road-to-vehicle communication system for the future ITS by using the STBC MIMO-OFDM technique which can provide the safety and comfortable driving, and collection of variable information from the network in the realtime to the users on the vehicle. To realize the proposed STBC MIMO-OFDM system, it is required to estimate the channel frequency response at every symbol precisely in the time varying fading channel which is the typical operation conditions for the roadto-vehicle communications system. In this paper, we propose a novel channel estimation method by using the scattered pilots and null sub-carriers inserted into the data sub-carriers both in the frequency and time axes which enables the accurate channel estimation even in the higher time varying fading channel. From the computer simulation results, this paper demonstrates the effectiveness of proposed system which can achieve the higher transmission data rate with keeping the higher signal quality even under thehigher mobile ITS environments.
Augmented Javanese Speech Levels Machine Translation
Authors: Wibawa Aji P. , Nafalski Andrew , Mahmudy Wayan F.
Published: April 2020

This paper presents the development of the hybrid corpus-based machine translation for Javanese language. The system is designed to deal with the complexity of politeness expression and speech levels of Javanese that is considered as a local language with the biggest number of users in Indonesia. Statistical features are embedded to increase the performance of the system. The edit shifting distance is applied due to increase the alignment efficiency. However, improper alignment contributed by recorded impossible pair and insufficient data training is still detected. This paper proposes a new improvement of the developed alignment algorithm based on the impossible pair restriction. Based on experimental results, the new developed algorithm is more accurate (A=93.8%) even though the number of training data is less than the old one (A=87.9%).
Smart Climbing Mirror Cleaning Robot Using Hybrid Fuzzy-PID Control based on Pneumatic System
Authors: Kantawong Songkran
Published: April 2020

This paper presents the combination of an intelligent fuzzy logic control and robotic technologies for developing an exterior climbing mirror cleaning robot based on pneumatic system in the advance fields of high building mirror cleaning robot technology. The typical pneumatic system is controlled by ON/OFF directional valve control that gives usually uncertain response both in the terms of position and velocity control and also low accuracy in the moving and holding force control because of its nonlinearity and uncertainty of pneumatic system. The fuzzy logic with proportional plus derivative plus integral control (fuzzy-PID) presented in this paper will improve the drawbacks and weak points of the ON/OFF valve control such that it becomes a continuous valve control which enhances the overall performance of the system in the same time. The stability of climbing robot that is moving along any slope angles of mirror glass surface depends on the holding force, suction cup parameters and pneumatic piston cylinder control that must be suitably designed and mainly realized. More safety factors for high air-pressure supply in the case of high building include winding force, gravity force and other environmental effects. The experimental results show that the fuzzy-PID control with pneumatic solenoid and directional valves control gives more satisfactory responses in the terms of settling time and steadystate error. The significant improvement of the position response and nonlinear or dynamic performance of pneumatic piston system is carried out both in Matlab simulation program and tests at laboratory room. The results are better than ON/OFF valve control and conventional PID control. Finally, the robot can climb very well on any slope angles of mirror surface that are less than 90 degree while the cleaning mechanism can work well as design concept. The future work will further improve the system performance of climbing robot for more safety, stability and reliability in the case of vertical slope situation that depends on the wet glass surface and more winding force effect.
Design of the Optimum Execution Stage of Embedded Processors
Authors: Fukase Masa-aki
Published: April 2020

We describe the optimum design of an execution stage for embedded processors. The execution stage is the core of embedded processors to treat basic applications for multimedia, communication and control. Considering algorithms in running such applications, the design principle of embedded processors is to achieve reliability, precision, low power, high speed and fast throughput altogether. However, it is hard to sufficiently clear the design principle by existing microprocessor technology. The one of difficult issues is the mixed sequence of integer and FP (floating point) arithmetic instructions. The different latencies of these instructions in a processor’s execution stage surely make the pipelined processing disturb and degrade throughput. The solution for this problem in this study is a wave-pipelined MFU (multifunctional unit) that is the multifunctionalization and wave-pipelining of different FUs (functional units). The high speed characteristic of wave-pipeling guarantees the reliability of processor behavior that is free from timing error. Thus, the waved MFU agrees well with overall trade-off design. In order to complement the shortage of the standard CAD tools, we explored the HS/SW (hardware/software) co-design for the waved MFU. Experimental results by using a 0.18-m CMOS standard cell technology showed the usefulness of this approach.
Color Image Transcoding of Lossless Encoder and Standard Lossy Decoder based on JP2K
Authors: Poomrittigul Suvit , Iwahashi Masahiro
Published: April 2020

In JPEG2000 (JP2K) color image system, loss less coding signal is not able to be reconstructed with lossy decoder directly. Then, this report proposes a new transcoding between lossless encoder and standard lossy decoder for color image signals base on JP2K. A proposed encoder is required reversible color transform (RCT) and reversible discrete wavelet transform (RDWT) with compatibility to standard lossy decoder based on JP2K (JP2K lossy decoder). To improve the compatibility, proposed encoder is designed by using Non-scaled RCT and Non-Scaled RDWT with embedding scaling parameter into quantization header. Then, this method can be practical use with JP2K lossy decoder without any change. It also reduces total rounding error and lifting steps. The results show that proposed method can keep lossless coding performance and improve transcoding functionality to JP2K lossy decoder. The quality of transcoding image was achieved to 50.05 dB (PSNR).
1D Frequency Transformation- Based Amplitude- Only Images for Copyright- and Privacy- Protection in Image Trading Systems
Authors: Sae-Tang Wannida , Liu Shenchuan , Fujiyoshi Masaaki , Kiya Hitoshi
Published: April 2020

This paper proposes an effective method of generating amplitude-only images (AOIs) which are inversely transformed amplitude components of images and which are used in the copyright- and privacyprotected digital fingerprinting-based image trading systems. The proposed method applies a one-dimensional frequency transformation to an image for generating the AOI with low intensity range (IR), whereas the IR of the AOI in the conventional method using a two-dimensional transformation is too large to store or transmit. The proposed method is distinct from other IR reduction approaches such as clipping, linear and non-linear scaling, block division, and random sign assignment which require extra-calculations, it reduces the computational complexity while it reduces IRs of AOIs. Moreover, experimental results show that the proposed method enhances the quality of fingerprinted images and fingerprinting performance.
Multi-Robot Coordination Using Switching of Methods for Deriving Equilibrium in Game Theory
Authors: Inujima Wataru , Nakano Kazushi , Hosokawa Shu
Published: April 2020

The study of a Multi-Agent System using multiple autonomous robots has recently attracted much attention. With the problem of target a tracking as a typical case study, multiple autonomous robots decide their own actions to achieve the whole task which is tracking target. Each autonomous robot’s action influences each other. So, an action decision in coordination with other robots and the environment is needed to achieve the whole task effectively.
The game theory is a major mathematical tool for realizing a coordinated action decision. The game theory mathematically deals with a multiagent environment influencing each other as a game situation. The conventional methods model one of the target tracking as a n-person general-sum game, and the use of the non-cooperative Nash equilibrium theory in non-cooperative games and the semi-cooperative Stackelberg equilibrium. The semicooperative Stackelberg equilibrium may obtain better control performance than the non-cooperative Nash equilibrium, but requires the communication among robots.
In this study, we propose switching of methods in the equilibrium derivation both from the non-cooperative Nash equilibrium and the semicooperative Stackelberg equilibrium in a coordination algorithm for the target tracking. In the simulation, our proposed method achieves coordination with less connections than the method using the semicooperative Stackelberg equilibrium at all times. Furthermore, the proposed method shows better control performance than the non-cooperative Nash equilibrium.
Optimum Value for Resistive Fault Current Limiter for Protection of a Power System with Distributed Generation
Authors: Jayasree M. S. , Parvathy V. S. , RamaIyer S. , Bindu G. R.
Published: April 2020

Renewable energy resources are being used for the last six decades for the generation of electrical power. Electrical safety and protection are main concerns in the successful operation of a power system. Integrating Distributed Generators (DGs) into a power system creates technical problems and thus affecting the safety of the system. When a fault occurs in a power system connected with distributed generator, the DG itself contributes fault current to the system. This causes disturbances to the settings of all protective devices. Original relay protection scheme is affected by the connection of distributed generators and causes mal-operation of both primary and backup relays. The fault current contribution of DG can be limited by placing Fault Current Limiter (FCL) in series with the DG. This paper proposes a novel method for the determination of the optimum resistance value for the FCL and thus to retain the original settings of relays. For optimizing the value of resistance of resistive fault current limiter Genetic Algorithm (GA) is used and the original relay settings are restored. This method is tested for standard IEEE 30 bus system. The effectiveness of proposed method is illustrated in the presence of single and multiple DG existence.
Optimal allocation of multi-type FACTS Controllers by using hybrid PSO for Total Transfer Capability Enhancement
Authors: Chansareewittaya Suppakarn , Jirapong Peerapol
Published: April 2020

In this paper, the new hybrid particle swarm optimization (hybrid-PSO) based on particle swarm optimization (PSO), evolutionary programming (EP), and tabu search (TS) is developed. Hybrid-PSO is proposed to determine the optimal allocation of multi-type flexible AC transmission system (FACTS) controllers for simultaneously maximizing the power transfer capability of power transactions between generators and loads in power systems without violating system constraints. The particular optimal allocation includes optimal types, locations, and parameter settings. Four types of FACTS controllers consist of thyristor-controlled series capacitor (TCSC), thyristor-controlled phase shifter (TCPS), static var compensator (SVC), and unified power flow controller (UPFC). Power transfer capability determinations are calculated based on optimal power flow (OPF) technique. Test results on IEEE RTS 24-bus system, IEEE 30-bus system and, IEEE 118-bus system indicate that optimally placed OPF with FACTS controllers by the hybrid-PSO could enhance the higher power transfer capability more than those from EP and conventional PSO.
Friction Compensation of DC Motors for Precise Motion Control Using Disturbance Observer
Authors: Dinesh Chinthaka M. K .C. , S. Abeykoon A. M. Harsha
Published: April 2020

Friction compensation is often neglected in DC servo control systems where precision is not a main concern. However, friction compensation is necessary to achieve precision of a motion control system. In this research work frictional components have been estimated using constant angular velocity motion test and by the use of the disturbance observer. Disturbance observer based friction compensator has been Modeled and developed model was implemented in hardware setup and evaluated using simulation and practical results.
Acceleration-based Control Strategy and Design for Hybrid Electric Vehicle Auxiliary Energy Source
Authors: Wangsupphaphol Aree , Nik Idris Nik Rumzi , Jusoh Awang , Muhamad Nik Din , Chamchuen Supanat
Published: April 2020

The paper presents a new control strategy and design for auxiliary energy source (AES) used in battery hybrid electric vehicle (BHEV) based on the acceleration power. The control strategy takes actual speed and acceleration of the vehicle and system losses into account for regulating the energy and power supply to the propulsion load. The design of AES and its dynamic control design are demonstrated. Cascade control is availed in this work in order to control the terminal voltage and current of supercapacitors (SCs). The benefits of AES in which recapture of regenerative braking energy are examined by the numerical simulation and verified by a small scale experiment. The comparison of energy consumption and DC bus voltage regulation between pure battery and battery with supercapacitors (BSCs) propulsion system declares the theoretical results and confirms the benefits of the proposed method.
Impact of high WPPs penetration on the Vietnam Power System
Authors: Nguyet Nguyen Hanh Thi , Vittal Vijay
Published: April 2020

Wind power installed capacity is expected to reach 1,000 MW and 6,200 MW in the Vietnam Power System (VPS) in 2020 and 2030, respectively. But detailed dynamic analysis of the wind power plants’ (WPPs) integration into the VPS is still scarce. In this paper, first, the impact of WPPs’ integration on the dynamic voltage performance and the wind turbine generator (WTG) low-voltage-ride-through (LVRT) requirement in the VPS for the year 2020 is studied. Then, case studies on the VPS for the year 2020 with different levels of wind penetration and different values of WTG’s maximum allowable voltage sag are studied. Simulation results show that the 2020 VPS can lose as much as 1,000 MW (100%) of WPP’s generated power following a severe contingency if the WTG’s LVRT capability is not considered. In some scenarios, the loss of WPPs’ generated power can cascade into a power system islanding situation which in turn could cause massive load shedding (15%) in the load-rich subsystem and result in wide variations of the electrical parameters of generators near the islanding boundary.
Coverage Maximization with Sleep Scheduling for Wireless Sensor Networks
Authors: Danratchadakorn Chanrit , Pornavalai Chotipat
Published: April 2020

Sleep scheduling mechanisms have been widely used in wireless sensor networks so as to extend the lifetime of networks. Sensors are able to decide to be either in active or sleep mode to save the energy. Sensing coverage area is an important factor for some applications such as Intrusion Detection. It is necessary to have the full-sensing-covering set of active nodes on these applications. In this paper, we propose the Coverage Maximization with Sleep Scheduling protocol (CMSS) which is a decentralized protocol and maximize sensing coverage of the network. In our proposed solution, the area of network is divided into grid cells. Each sensor creates a neighbor table and transforms into cell-value table. These tables are used to make decision which mode it should be on each sensor. Simulation results show that CMSS not only consumes less overhead energy than Maximum Sensing Coverage Region (MSCR), but also has a lower number of selected active nodes. Besides, communication range of sensors does not affect to the efficiency of networks like the Layered Diffusion-based Coverage Control protocol (LDCC) which exploits hop count information.
Rotation Algorithms for Balancing Search Trees
Authors: Bunkhumpornpat Chumphol , Chouvatut Varin , Rattanaudomsawat Saowaluk
Published: April 2020

A search tree is a data structure constructed from a minimum spanning tree. This data structure is used for determining the cluster membership of a query instance clustered by a similarity-guaranteed clustering algorithm. According to the line topology of a search tree in the worst case, the time complexity of tree traversing is O(n) where n is the number of nodes of the tree. Unfortunately, the AVL tree algorithm cannot solve this problem because the algorithm is unable to maintain the hierarchical structure of a search tree. From the definition of balance factor, our proposed algorithm is designed to rotate nodes until the tree becomes balanced while maintaining the hierarchical structure. Consequently, the balanced search tree achieves the optimal time complexity of O(log n) for the searching purpose.