High performance FPGA implementation of the mersenne twister

Efficient generation of random and pseudorandom sequences is of great importance to a number of applications [4]. In this paper, an efficient implementation of the Mersenne Twister is presented. The proposed architecture has the smallest footprint of all published architectures to date and occupies only 330 FPGA slices. Partial pipelining and sub-expression simplification has been used to improve throughput per clock cycle. The proposed architecture is implemented on an RC1000 FPGA Development platform equipped with a Xilinx XCV2000E FPGA, and can generate 20 million 32 bit random numbers per second at a clock rate of 24.234 MHz. A through performance analysis has been performed, and it is observed that the proposed architecture clearly outperforms other existing implementations in key comparable performance metrics

3D medical volume segmentation using hybrid multiresolution statistical approaches

This article is available through the Brunel Open Access Publishing Fund. Copyright © 2010 S AlZu’bi and A Amira.3D volume segmentation is the process of partitioning voxels into 3D regions (subvolumes) that represent meaningful physical entities which are more meaningful and easier to analyze and usable in future applications. Multiresolution Analysis (MRA) enables the preservation of an image according to certain levels of resolution or blurring. Because of multiresolution quality, wavelets have been deployed in image compression, denoising, and classification. This paper focuses on the implementation of efficient medical volume segmentation techniques. Multiresolution analysis including 3D wavelet and ridgelet has been used for feature extraction which can be modeled using Hidden Markov Models (HMMs) to segment the volume slices. A comparison study has been carried out to evaluate 2D and 3D techniques which reveals that 3D methodologies can accurately detect the Region Of Interest (ROI). Automatic segmentation has been achieved using HMMs where the ROI is detected accurately but suffers a long computation time for its calculations

Novel sparse OBC based distributed arithmetic architecture for matrix transforms

Inner product (IP) forms the basis of a number of signal processing algorithms and applications such as transforms, filters, communication systems etc. Distributed arithmetic (DA) provides an effective methodology to implement IP of vectors and matrices using a simple combination of memory elements, adders and shifters instead of lumped multipliers. This bit level rearrangement results in much higher computational efficiencies and yields compact designs highly suited for high performance resource constrained applications. Offset binary coding (OBC) is an effective technique to further optimize the DA, and allows us to reduce the memory requirements by a factor of two, with minimum additional computational complexity. This makes OBC-DA attractive for applications that are both resource and memory constrained. In addition, sparse matrix factorization techniques can be exploited to further reduce the size of the DA-ROMs. In this paper, the design and implementation of a novel OBC based DA is demonstrated using a generic architecture for implementing discrete orthogonal transforms (DOTs). Implementation is performed on the Xilinx Virtex-II Pro field programmable gate array (FPGA), and a detailed comparison between conventional and OBC based DA is presented to highlight the trade offs in various design metrics including performance, area and power

A committee machine gas identification system based on dynamically reconfigurable FPGA

This paper proposes a gas identification system based on the committee machine (CM) classifier, which combines various gas identification algorithms, to obtain a unified decision with improved accuracy. The CM combines five different classifiers: K nearest neighbors (KNNs), multilayer perceptron (MLP), radial basis function (RBF), Gaussian mixture model (GMM), and probabilistic principal component analysis (PPCA). Experiments on real sensors' data proved the effectiveness of our system with an improved accuracy over individual classifiers. Due to the computationally intensive nature of CM, its implementation requires significant hardware resources. In order to overcome this problem, we propose a novel time multiplexing hardware implementation using a dynamically reconfigurable field programmable gate array (FPGA) platform. The processing is divided into three stages: sampling and preprocessing, pattern recognition, and decision stage. Dynamically reconfigurable FPGA technique is used to implement the system in a sequential manner, thus using limited hardware resources of the FPGA chip. The system is successfully tested for combustible gas identification application using our in-house tin-oxide gas sensors

Uncertainty Avoidances among International Students towards Malay Food Acceptance

Uncertainty avoidance towards certain culture and food has dominantly influence the acceptance of food choices among the international students. International students can be describes as a person or group of people who arrives in other country with a priority to pursue their higher tertiary education in a better place. Experiencing new culture, food and people has absolutely influences the level of uncertainty which then resulting the rejection of certain food in the new place. Findings has shown that the uncertainty avoidances of the students has negatively significant (β=-.165,

The Impact of a STEM Education Program on Female and Racial Minorities\u27 Knowledge and Attitude

The purpose of this study was to examine the impact of a STEM education program, specifically STARBASE, on the STEM knowledge and attitudes of fifth grade students, as well as its effect on their pursuit of STEM careers, with a focus on female and racial minority students. Based on a sample of 197 fifth graders from a school district in Southern California, the intervention took place at STARBASE, while the control group remained at their respective schools. A quasi-experimental design was used in the study, with four experimental and four control groups. A STEM knowledge assessment and S-STEM attitude survey were used to collect data, with a pretest-posttest design. To analyze the data, the researcher used two tools: Analysis of Covariance (ANCOVA) and paired t-test. The results of the study revealed a significant improvement in the STEM knowledge and attitudes of the experimental group as compared to the control group, with female and minority students demonstrating particularly strong gains. The study emphasizes the significance of early STEM education and its potential influence on students\u27 future career decisions, especially for underrepresented groups in STEM fields. It is recommended that additional research investigate the long-term effects of short-term STEM programs on students\u27 academic and career paths

College Students’ Negotiation of Privilege in a Community-Based Violence Prevention Project

Recent scholarship on service-learning has departed from examination of more traditional models and outcomes to explore how service-learning shapes students’ understanding of social change. This study builds on existing research to further interrogate the ways in which service-learning relates to power and privilege, specifically exploring how college students in a service-learning experience reflect on notions of privilege and how this informs their work with urban youth. Data was collected from 15 undergraduate student participants in a violence prevention program. Findings point to the potential that lies within change models of service-learning for students to reflect on the complex relationship among service-learning, power, and privilege, and to see themselves engaged in impactful, transformative, and sustainable service work

Faktor-faktor Yang Mempengaruhi Terlambatnya Penyelesaian Studi Pada Mahasiswa Fakultas Ilmu Sosial Dan Ilmu Politik Universitas Riau

The background of this research was because of so many students of university that overdue in study accomplishment, that means more that eight semesters (five years). The formulation of this research was the factors that effected the overdue in study accomplishment to students and how much the percentage of the factors effects of overdue in study accomplishment to students of social science and politics faculty. While, the purpose of the research was wanted to know the factors that effected the overdue in study accomplishment to students and to know how much the percentage of factors effects to students of social science and politics faculty. This research have been done in social science and politics faculty, university of Riau, Pekanbaru. The population in this research was all of students who the time of study more than eight semesters (five years), lecturer, student's parent and society personage. While, the technique in taking sample the writer used proportional random sampling technique. The technique in collecting data, the writer used questionaire, interviewe and documentation. In analysing the data, the writer used descriptive quantitative method.Based on the result of this research, the writer can concluded that to know what are the factors that effected and how much the percentage of factors effects to students in study accomplishment, the writer analyze the data with formula: . So, we can concluded that the factors that effected the overdue in study accomplishment to students was: 1. Internal factors (physic, psychology, and tiring). 2. External factors (family, university and society). The factors percentage were: internal factors was 73,55% and external factors was 67,27% the category was enough

Influence of Relationship Marketing Underpinnings on Egyptian Hotel Customer\u27s Satisfaction and Loyalty

This study seeks to examine relationship marketing as influenced by service provider\u27s attributes and resulting in customer\u27s satisfaction and loyalty within the Egyptian hotel industry. A conceptual model linking service provider\u27s attributes to relationship marketing underpinnings and the latter to relational outcomes defined as customer\u27s satisfaction and loyalty, was tested using structural equation modeling (SEM) on a sample of 279 hotel customers in Sharm El-Sheikh, Egypt. The results showed that service provider\u27s competency significantly influences relationship marketing underpinnings. On the other hand, the influence of service provider\u27s appearance on customer\u27s perception of commitment and conflict is not supported. Further, relationship marketing underpinnings significantly influence customer\u27s satisfaction. Finally, customer\u27s satisfaction significantly influences their loyalty towards the hotel