bluuebunny/crossref_metadata_2025_split huggingface dataset:
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.