bluuebunny/crossref_metadata_2025_split huggingface dataset:
Improvement of Standard and Non-Standard Floating-Point Operators
Authors: Surapong Pongyupinpanich , Philipp Francois , Samman Faizal Arya , Glesner Manfred 
Published: April 2020

This paper presents the design and analysis of a floating-point arithmetic accelerator in compliance with the IEEE standard single precision floatingpoint format. The accelerator can be used to extend a general-purpose processor such as Motorola MC6820, where floating-point execution units are unembedded by default. It implements standard and non-standard mathematic functions, addition/subtraction, multiplication, Product-of-Sum and Sumof- Product through a micro-instruction set supported by both single and multi-processors systems. The architecture of the unit is based on an instruction pipeline which can simultaneously fetch and execute an instruction within one clock cycle. The non-standard operations such as Product-of-Sum and Sum-of-Product are introduced to compute threeinput operands. The algorithm complexity and hardware critical delay are determined for each operator. The synthesis results of the accelerator on a Xilinx FPGA Virtex 5 xc5vlx110t-3ff-1136 and on Faraday 130-nm Silicon technology report that the design respectively achieves 200 MHz and 1 GHz.
A Cross Video-MAC Layer Approach for Generating Adaptive FMO Map
Authors: Huu Vu Tien , Aramvith Supavadee 
Published: April 2020

Recent researches in video transmission over heterogeneous networks move toward cross-layer design to realize the optimal video quality. In this work, we investigate the cross layer approach between H.264 video coding layer and IEEE 802.11e Medium Access Control (MAC) layer on the issues of how to improve error resiliency of H.264 video using Flexible Macroblock Ordering (FMO), and how to reduce packet dropping rate at MAC layer. We propose an adaptive FMO map generation to separate high and low important macroblocks to different priority queues based on the overflow state of MAC layer queues. The arrival rate of packets to queues is thus changed to reduce the queue overflow and to decrease of the packet droppingrates at queues. Experimental results show that using the proposed scheme can reduce the packet drop rate at the queues resulting in the reduction of packet loss rate and the improvement of the average PSNR.
Complexity Reduction of Modied Per-Survivor Iterative Timing Recovery for Partial Response Channels
Authors: Warisarn Chanon , Kovintavewat Piya , Supnithi Pornchai 
Published: April 2020

The problem of timing recovery operating at low signal-to-noise ratio has been recently solved by a modified per-survivor iterative timing recovery (MPS-ITR) proposed in [1], which jointly performs timing recovery, equalization, and error-correction decoding. In practice, this scheme exploits a splitpreamble strategy in conjunction with a per-survivor soft-output Viterbi algorithm equalizer to make it more robust against severe timing jitters or cycle slips. Although the MPS-ITR outperforms existing iterative timing recovery schemes [1], its complexity is extremely high. Therefore, this paper proposes a reduced-complexity MPS-ITR scheme (denoted as MPS-ITR-M) to make it more implementable in reallife applications. This is achieved by applying the M-algorithm [2] to the MPS-ITR. Numerical results show that at low-to-moderate complexity, the MPSITR- M performs better than other schemes.
Empirical Modelling for exploring the factors contributing to disability severity from road traffic accidents in Thailand
Authors: Rungrattanaubol Jaratsri , Na-udom Anamai , Harfield Antony 
Published: April 2020

This paper introduces a computer-based model for predicting the severity of injuries in road traffic accidents. Using accident data from surveys at hospitals in Thailand, standard data mining techniques were applied to train and test a multilayer perceptron neural network. The resulting neural network specification was loaded into an interactive environment called EDEN that enables further exploration of the computer-based model. Although the model can be used for the classification of accident data in terms of injury severity (in a similar way to other data mining tools), the EDEN tool enables deeper exploration of the underlying factors that might affect injury severity in road traffic accidents. The aim of this paper is to describe the development of the computer-based model and to demonstrate the potential of EDEN as an interactive tool for knowledge discovery.
VLSI Implementation With Double Cipher and Media Processing for Ad-Hoc Network
Authors: Fukase Masa-aki 
Published: April 2020

Ubiquitous network is really one of remarkable trends of next generation information and communication technologies. However, the rapid increase of ubiquitous technologies has given rise to serious concerns about security issues which are getting worse, especially in the case of ad-hoc network because it is resource constrained. Both transience and secureness are characteristic features of ad-hoc network. In order to provide a sophisticated processor accompanied with such characteristics, we have so far developed HCgorilla. This is a ubiquitous processor that unifies basic aspects of PC processors, mobile processors, Java CPUs, cryptography processors, etc. The unification of these processors has shown effectiveness to achieve not only power and chip area saving but also secureness for ubiquitous environment. The secureness provided by HCgorilla is temporal with practically enough cipher strength and without relying on permanent network infrastructure. This is really one of qualitative conditions required for ad-hoc networks. Considering the ever growing ubiquitous network, the target of this study is the total optimum design of HCgorilla chips with particular emphasis on small resource and secure implementation. The improved version, HCgorilla.7 is implemented in a CMOS standard cell chip. Specific features of HCgorilla.7 are described regarding occupied area, power consumption, throughput, and cipher strength. Judging from these results, HCgorilla is one of most profitable candidates for the next generation ubiquitous environment.
A Design Method for a Robust Stabilizing Multi-Period Repetitive Control System for Multiple-Input/Multiple-Output Plants with Specied Input-Output Frequency Characteristic Using the Parameterization
Authors: Chen Zhongxiang , Sakanushi Tatsuya , Yamada Kou , Tohnai Satoshi , Zhao Yun 
Published: April 2020

The multi-period repetitive control system is a type of servomechanism for a periodic reference input. Recently, the parameterization of all robust stabilizing multi-period repetitive controllers for multipleinput/ multiple-output plants with uncertainty was obtained by Chen et al. However, using their method, it is complex to specify the low-pass filter in the internal model for the periodic reference input of which the role is to specify the input-output frequency characteristic. Because, the low-pass filter is related to four free parameters in the parameterization proposed by Chen et al. Chen et al. examined the parameterization of all robust stabilizing multi-period repetitive controllers for multiple-input/multiple-output plants with specified input-output frequency characteristic such that the input-output frequency characteristic can be specified beforehand. However, they omitted complete proof on account of space limitations. This paper gives the complete proof and demonstrates the effectiveness of the parameterization. The control characteristics of the system are presented, along with a design procedure for a robust stabilizing multi-period repetitive controller with specified input-output frequency characteristic. A numericalexample is presented to illustrate the effectiveness of the proposed method.
A Design Method for Robust Stabilizing Modied Repetitive Controllers for Multiple-Input/Multiple-Output Time-Delay Plants
Authors: Chen Zhongxiang , Sakanushi Tatsuya , Yamada Kou , Zhao Yun , 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 modified repetitive control system unstable, even though the controller was designed to stabilize the nominal plant. Recently, the parameterization of all robust stabilizing modified repetitive controllers was obtained by Yamada et al. In addition, Yamada et al. proposed the parameterization of all robust stabilizing modified repetitive controllers for time-delay plants. However, no paper has proposed the parameterization of all robust stabilizing modified repetitive controllers for multiple-input/multiple-output time-delay plants. In this paper, we expand the result by Yamada et al. and propose the parameterization of all robust stabilizing modified repetitive controllers for multipleinput/multiple-output time-delay plants.
Blind Scheme with Histogram Peak Estimation for Histogram Modication-Based Lossless Information Embedding
Authors: Fujiyoshi Masaaki 
Published: April 2020

In this paper, a simple scheme for histogram modification-based lossless information embedding (HM-LIE) is proposed. The proposed scheme is free from memorizing side information, i.e., blind. A HMLIE scheme modifies particular pixel values in an image in order to embed information in it on the basis of its histogram, i.e., tonal distribution. The scheme recovers the original image as well as extracts embedded information from a distorted image conveying embedded information. Most HM-LIE schemes should memorize a set of image-dependent side information per image. The proposed scheme does not have to memorize such information to avoid costly identification of the distorted image carrying embedded information because of the introduction of two mechanisms. One is estimating side information on the basis of a simple statistic, and the other is concealing not only main information but also a part of the side information in the image. These approaches make the proposed scheme superior to the conventional blind schemes in terms of the quality of imagesconveying embedded information.
Thin film preparation of silicon nanocrystals embedded in silicon oxide by sol-gel method
Authors: Fangsuwannarak Thipwan , Khunchana Kanika 
Published: April 2020

In this paper, nano silicon powders were prepared by the grinding technique and subsequently mixed in sol-gel of Tetraethylorthosilicate and ethanol solution. The silicon dioxide films synthesized from the sol-gel solution were preliminary studied in the term of the optical property as a refractive index (n) by varying the aging time and annealing temperatures. By using a Fourier transform infrared spectroscopy technique, the obtained x-composition values of the SiOx films were extended from 1.67 to 1.98 with a decreasing time of the aged sol-gels. In addition, the lower x-composition value can be controlled by increasing the annealing temperatures from 60◦C to 500◦C. The prepared films from the precursor of nano-silicon powder suspension were characterized by photoemission spectroscopy and Raman spectroscopy in order to obtain more understanding of the chemical composition and silicon nano-crystallite quality, respectively. Presenting the spectra broadening and the frequency downshifting from 521 cm−1 was caused by the quantum size effect.
Computing Sentiment Polarity of Texts at Document and Aspect Levels
Authors: Singh Vivek Kumar , Piryani Rajesh , Waila Pranav , Devaraj Madhavi 
Published: April 2020

This paper presents our experimental work on two aspects of sentiment analysis. First, we evaluate the performance of different machine learning as well as lexicon based methods for sentiment analysis of texts obtained from variety of sources. Our performance evaluation results are on six different datasets of different kinds, including movie reviews, blog posts and twitter feeds. To the best of our knowledge no such work on comprehensive evaluative account involving different techniques on variety of datasets have been reported earlier. The second major work that we report here is about the heuristic based scheme that we devised for aspect-level sentiment profile generation of movies. Our algorithmic formulation parses the user reviews for a movie and generates a sentiment polarity profile of the movie based on opinion expressed on various aspects in the user reviews. The results obtained for the aspect-level computation are also compared with the corresponding results obtained from the document-level approach. In summary, the paper makes two important contributions: (a) it presents a detailed evaluative account of both supervised and unsupervised algorithmic formulations on six datasets of different varieties, and (b) it proposes a new heuristic based aspect-level sentiment computation approach for movie reviews, which results in a more focused and useful sentiment profile for the movies.
Hybrid Genetic Algorithms for Part Type Selection and Machine Loading Problems with Alternative Production Plans in Flexible Manufacturing System
Authors: Mahmudy Wayan F. , Marian Romeo M. , Luong Lee H. S. 
Published: April 2020

This paper addresses two NP-hard and strongly related problems in production planning of flexible manufacturing system (FMS), part type selection problem and machine loading problem. Various flexibilities such as alternative machines, tools, and production plans are considered. Real coded genetic algorithms (RCGA) that uses an array of real numbers as chromosome representation is developed to handle these flexibilities. Hybridizing with variable neighbourhood search (VNS) is performed to improve the power of the RCGA exploring and exploiting the large search space of the problems. The effectiveness of this hybrid genetic algorithm (HGA) is tested using several test bed problems. The HGA improves the FMS effectiveness by considering two objectives, maximizing system throughput and minimizing system unbalance. The resulted objective values are compared to the optimum values produced by branch-and-bound method. The experiments show that the proposed RCGA could reach near optimum solution and the hybridization can improve the performance of the RCGA.
Agent Aided Routing for Faster and Efficient Spreading of Messages in Delay Tolerant Networks
Authors: Asif Iqbal Shahid Md. , Chowdhury Alok Kumar , Akhter Amina 
Published: April 2020

Routing schemes in Delay Tolerant Networks depend on the intermediate nodes to carry messages till the forwarding of the messages to other nodes or delivery of the messages to their destinations. Thus, efficient and faster spreading of messages is essential to reduce the delay of sending a message from source to destination. In this work, we aim to design a new agent aided routing scheme in Delay Tolerant Networks to avoid large message delivery delay. Here, the source of a message is permitted to create unlimited copies of a message and distribute these copies to agents. Agents acting as the representative of the sources receive messages from the sources based on their node visited list and delivery predictability. After that, the agents forward the copies to the other intermediate nodes or deliver the message directly to the destination. Thus, the agents help in faster and efficient dissemination of a message in the network which helps in reducing message delivery delay. Besides, we compare our scheme with that of other schemes in different network scenarios through simulations. Simulation results show that our agent based routing scheme performs better than that of others in terms of Delivery Ratio, Delay and Communication Overhead.
Peak-to-Average Power Ratio Reduction Method for OFDM Signal by Permutation of Subcarriers
Authors: Boonsrimuang Pornpawit , Limwattanacha Kanchana , Boonsrimuang Pisit , Kobayashi Hideo 
Published: April 2020

Many PAPR reduction methods for OFDM time domain signal have been proposed up to today, all of which can be classified into two kinds of methods as the distortion and distortion-less methods. The most of distortion-less methods show better PAPR performance without degradation of BER performance. However the distortion-less methods are usually required to control the transmission data information so as to minimize the PAPR performance at the transmitter. From this fact, the distortion-less methods are required to inform the controlled information as the side information to the receiver for the correct demodulation of data information. The side information is usually informed to the receiver with the higher signal quality by using the separate channel or the embedded in the data information which would lead the degradation of transmission efficiency and the increase of hardware complexity of transmitter and receiver.
This paper proposes a novel distortion-less PAPR reduction method which employs the permutation of subcarriers in the frequency domain. The feature of proposed method is to achieve the better PAPR performance with a very few embedded side information for the correct demodulation of data information at the receiver. This paper presents various computer simulation results to verify the effectiveness of proposed method as comparing with the conventional OFDM method in the non-linear channel.
Hardware Evaluations of Simple Radio Positioning System Based on Direct Sequence Spread Spectrum
Authors: Watanabe Shinichi , Okada Minoru 
Published: April 2020

This paper proposes a simple positioning scheme without huge computational cost. The proposed scheme employs a three-element loop array for the transmitter. A Direct-Sequence Spread Spectrum (DS/SS) sequence is transmitted at a frequency of Low Frequency (LF) band. We evaluate location determination error rate by using a computer simulator and theoretical analysis. The theoretical analysis agrees with the simulation result. The difference is at most 1.3 dB at error rate of 10−5. Computer simulation result shows that the proposed technique can identify the region of 2 by 3 meters at the region determination error rate of 10−2. In order to show the hardware complexity requirement for implementing the proposed receiver, the impact of bit width for ADC (Analog-to-Digital Converter), and digital signal processing block to the error rate performance is evaluated by computer simulation. Computer simulation shows that the proposed scheme can be constructed by 2-bit ADC and 5-bit integrate and dump filter.
An Evaluation of Significant Lightness Difference Effective Term for CIEDE2000 Comparative Image Colour Pixels
Authors: Homnan Bongkarn , Benjapolakul Watit 
Published: April 2020

As CIEDE2000 standard has developed the colour difference formula, the colour difference formula of compared colours in similar colour space has been evaluated and emphasized in this paper. The lightness difference effective term has been distinctively separated from the small informative colourdifference of CIEDE2000. In addition, the power of the lightness difference effective term can clearly magnify the lightness difference which illustrated categorized surfaces of the lightness difference effective term for total colour differences in the CIEDE2000 standard. All projected four categories are classified by compared image colour pixels based on the colour space’s three forward transform functions of the lightness of the colour, the chroma between red/magenta and green, and the chroma between yellow and blue. Results show that the lightness difference effective term gives mainly three different surfaces in four categories. Furthermore, in first category, the most two maximum statistical frequencies can be expressed with the left side along with the right side of the probability mass function of the lightness difference effective term; in third category, the obvious maximum statistical frequency can be expressed with only the left side of the probability mass function; and in second and fourth categories, the maximum statistical frequency can be expressed most absolutely with the left side of the probability mass function.
Top-k Recommended Items: Applying Clustering Technique for Recommendation
Authors: Onuean Kittisak , Sodsee Sunantha , Meesad Phayung 
Published: April 2020

This research proposes the Top-k Items Recommendation System which uses clustering techniques based on memory-based collaborative filtering technique. Currently, data sparsity and quantity of system are problems in memory-based collaborative filtering technique. We offer recommend or show some items set for user’s preference. In this research, we propose methods for recommended items set to user preference on data sparsity, movie lens datasets (1M) consisting of 671 users and 163,949 product items were used by determining the preference level between 1 and 5 and user satisfaction levels of all 98,903 items being build and test the models. Methods was divided into three parts included 1) Simple Agent Module 2) Neighbor Filtering and 3) Prediction and Recommend. Simple clustering was used to create a system to provide suggestions for sparsity data. Datasets obtained from clustering represented the sample agent of dataset to being create the recommendation system. Datasets were divided into two categories, 1) Traditional Data (TD) and 2) Statistic Data (SD), and each dataset clustered by k-means clustering. The experimental results demonstrated that the number of item types in the system were recommended in the TD and Euclidean (DIS). DIS was used to find the nearest value in TD for the item list recommendation to active users in the system with the a lot of number choice of recommendation system.
Scalable Hardware Mechanism for Partitioned Circuits Operation
Authors: Katoh Yusuke , Yoshiuchi Hironari , Murata Yoshio , Nakajo Hironori 
Published: April 2020

For designing hardware with a high-level synthesis tool using a programming language such as C or Java, its large size of logic circuit makes it difficult to implement the design in a single FPGA. In such a case, partitioning the logic circuit and implementing in multiple FPGAs is a commonly used approach.
We propose the Scalable Hardware Mechanism, which enables the operation of a partitioned circuit to prevent the degradation of clock frequency by minimizing its dependence on the usage and the type of FPGA. Our mechanism provides a reduced delay by the collective signal transmission with the partitioned AES code generation circuit and the character string edit distance calculation circuit as partitioned circuits. The collective signal transmission has attained 1.27 times improvement in the speed for the AES code generation circuit and 3.16 times improvement for the character string edit distance calculation circuit compared with the circuit by the conventional method.