Miracle-dz/UniFAR-FTUs huggingface dataset:
Active messages as a spanning model for parallel graph computation

Graph applications are members of an increasingly important class of applications that lack the natural, or domain-induced, locality of traditional computational science problems induced by large systems of PDEs. Rather than being analytically deducible, the dependency structure of graph applications is determined by the input graph itself. This data-carried dependency structure is expressed at run time and offers limited opportunities for static analysis. Graph applications present challenges with regard to load balancing, resource utilization, and concurrency at HPC scales. This thesis presents a set of parallel programming abstractions and a software-design methodology that allows for the implementation of flexible, scalable, and highly concurrent graph algorithms. The use of active messages as the underlying communication mechanism provides three key performance benefits over more coarse-grained approaches. First, this phrasing reduces global synchronization and exposes asynchrony that can be used to hide communication latency. Second, by executing and retiring messages as they are received, memory utilization is reduced. Finally, each active message represents an independent quantum of work that can be executed in parallel. By ensuring atomicity of the underlying vertex and edge properties manipulated by messages, fine-grained parallelism can be employed at the message level. The implementation of these ideas is presented in the context of the Parallel Boost Graph Library 2.0. This library is distinguished from other parallel graph implementations by two key features. By moving computation to data, rather than vice-versa, the effects of communication latency are reduced. Simultaneously, runtime optimization separates algorithm specifications from the underlying implementation. This allows optimization to be performed as the structure of the input graph, and thus the computation, is discovered. Separating specification from implementation also provides performance portability and enables retroactive optimization. The generic design of the library provides a common framework in which to experiment with dynamic graphs, dynamic runtimes, new algorithms, and new hardware resources. Most importantly, this thesis demonstrates that phrasing graph algorithms as collections of asynchronous, concurrent, message-driven fragments of code allows for natural expression of algorithms, flexible implementations leveraging various forms of parallelism, and performance portability--all without modifying the algorithm expressions themselves.
Should Agile be Part of Your Quality Management System?

Purpose: The purpose of this paper is to explore the role of Agile in Quality Management Systems. Design/methodology/approach: This paper provides a brief history of Agile and compares it to the management theory of W. Edwards Deming. The authors then examine the strengths and weaknesses of Lean, Agile, and Six Sigma in relationship to the four components of Deming’s System of Profound Knowledge in order to clarify Agile’s role in contemporary Quality Management Systems. In addition to the existing literature, the authors draw extensively on their experiences and observations from more than 50 years of experience in IT and quality (both as practitioners and academics) to substantiate the opinions expressed in the paper. Findings: This paper acknowledges that while Deming’s management theory could be accurately described as “agile,” Agile is not comprehensive enough to be considered an effective stand-alone Quality Management System. However, our analysis suggests that Agile can be an important part of a contingency or umbrella approach to Quality Management. Limitations: This is a very theoretical paper based on the authors’ experiences and the existing literature. The next stage of this research is to conduct empirical studies in existing organizations to quantify the advantages and roadblocks of incorporating Agile methodologies in Quality Management Systems. Originality/value: This paper helps to fill a void in the academic literature concerning the relationships between Agile and Deming’s management theory. Journal of International Technology and Information Management Volume 27, Number 1 2018 ©International Information Management Association, Inc. 2017 3 ISSN: 1941-6679-On-line Copy Moreover, using the System of Profound Knowledge to understand the role of Lean, Six Sigma and Agile in a Quality Management System is a novel approach.
Total Energy Efficiency of TR-MRC and FD-MRC Receivers for Massive MIMO Uplink

This paper proposes a detailed investigation on the uplink (UL) performance of massive multiple-input-multiple-output (maMIMO) systems employing maximum-ratio combining (MRC) at the receiver. While most papers in maMIMO literature assume orthogonal frequency-division multiplexing (OFDM), current standards such as long-term evolution (LTE) employ single-carrier (SC) waveform in the UL because of several benefits. We, thus, perform a systemic comparison between two fundamental schemes: the time-reversal MRC (TR-MRC) operating under SC, and the frequency-domain MRC (FD-MRC) employed with OFDM. On the one hand, it was recently shown that the TR-MRC outperforms the FD-MRC in terms of achievable rates, since SC systems do not require the cyclic prefix of OFDM. On the other hand, the computational complexity of the TR-MRC algorithm is higher than that of the FD-MRC algorithm, even when efficient solutions are employed (e.g., fast convolution with the overlap-and-add method). Hence, the best scheme for the UL maMIMO systems still remains an open question. The main contribution of this paper is the comparison of the total energy efficiency of both the TR-MRC and FD-MRC algorithms when used in the UL of maMIMO systems. Our results show that, for current typical system parameters, the FD-MRC/OFDM scheme achieves higher total energy efficiency than that achieved by the TR-MRC/SC scheme. However, if the cell radius is less than 300 m and/or the computational efficiency increases by 30% regarding the current processors, the TR-MRC algorithm under SC waveform becomes a much more attractive alternative for the UL of maMIMO systems.
Trust Enhanced Role Based Access Control Using Genetic Algorithm

Improvements in technological innovations have become a boon for business organizations, firms, institutions, etc. System applications are being developed for organizations whether small-scale or large-scale. Taking into consideration the hierarchical nature of large organizations, security is an important factor which needs to be taken into account. For any healthcare organization, maintaining the confidentiality and integrity of the patients’ records is of utmost importance while ensuring that they are only available to the authorized personnel. The paper discusses the technique of Role-Based Access Control (RBAC) and its different aspects. The paper also suggests a trust enhanced model of RBAC implemented with selection and mutation only ‘Genetic Algorithm’. A practical scenario involving healthcare organization has also been considered. A model has been developed to consider the policies of different health departments and how it affects the permissions of a particular role. The purpose of the algorithm is to allocate tasks for every employee in an automated manner and ensures that they are not over-burdened with the work assigned. In addition, the trust records of the employees ensure that malicious users do not gain access to confidential patient data.
Social networking tools : On the road to enlightenment

emerging forms of online collaboration and social networking foreshadow an always-connected future and perhaps the biggest change in communication in a century. The tools may now focus on accelerating individual careers, but new tools and solutions are coming online that will connect people based on their knowledge and talents, to unleash innovation and create new forms of content. Scores of organizations already use tools such as wilds (group-editable web pages) to turbocharge collaboration. But an increasing number are taking this networking to the next level, leveraging social-networking services to foster professional relationships, dig up sales leads, identify hiring prospects, and more-all by leveraging the collective contacts of colleagues. Corporate-oriented services such as Visible Path, Ryze, and openBC are gaining traction, as people seek to tap invisible social networks to yield visible results. Leading the pack is LinkedIn, a global online network of more than 6 million professionals representing 130 industries. LinkedIn enables people to post career profiles, find prospective employees, and discover inside connections within three degrees of separation who can help them land jobs and close deals.
Adopción de redes sociales por revistas científicas de ciencias sociales

La expansion de las redes sociales obliga a la comunicacion de la ciencia y a las revistas cientificas a adaptarse al nuevo entorno. Estudios anteriores y modelos teoricos como Utaut y Utaut2, han probado que existe una relacion entre la percepcion de desempeno futuro de la tecnologia (Expectativa de rendimiento), la dificultad de uso (Expectativa de esfuerzo) y la Influencia social a la que el individuo esta sometido, sobre el uso real de dicha tecnologia, pero aun existe poca investigacion acerca de los mecanismos que causan dicho efecto. Partiendo de Utaut, la hipotesis planteada es que existe un efecto condicional indirecto de la Expectativa de rendimiento, la Expectativa de esfuerzo y la Influencia social, sobre el uso real de redes sociales en las revistas cientificas, donde dicho efecto es mediado por la intencion de uso y moderado por el genero y la edad. Se realizo una encuesta a 300 editores de ciencias sociales del ranking Google Scholar. Confirmando parcialmente el modelo Utaut, los resultados de la mediacion moderada evidencian que la Expectativa de rendimiento y la Influencia social en los editores inciden en el uso real de Facebook y Twitter, a traves de la intencion de uso, pero no sucede asi en el caso de ResearchGate, Academia y LinkedIn. No hay evidencia clara de que la edad y el genero moderen los predictores estudiados.
A Novel Model Predictive Control of Cascade Multilevel Inverter for Solar PV System

In this paper, an improved finite control set model predictive control(FCS-MPC) applying to solar PV system is proposed. Calculation grows exponentially when voltage level increased in traditional FCS-MPC for multilevel cascaded inverters. With applications of current delay compensation, feedback compensation and reference current correction, tracking feature is improved and current harmonic distortion is reduced. Simplification of the voltage vector selection, by taking the calculations of complex partition voltage vector tracking to be done in a single partition, is also adopted, in which calculation has been drastically reduced. Proposed algorithm is validated with Simulation of comparison traditional FCS-MPC in MATLAB.
Process Design and Case Study for Efficient Function Point Measurement Based on Object Oriented

ABSTRACT Recently, development paradigm of information system is turning into object oriented and component based, and this methodology is leading the software industry. To acclimatize aptly to this trend, users demand the assessment of software expenses to change with the appropriate model of computing costs of the environment, and some people are actually studying the concept of Object Oriented Function Point and UCP method. Especially, Object Oriented Function Point Measurement Process has good points in overcoming the bound of LOC and the existing the Function Point Measurement Process because Object Oriented Function Point Measurement Process is applicable to the early stage of development project mainly with the used cases, and valid to the life long period as the each stage of software products develops, and always understandable to communicate with users by the UML mark rules. Accordingly, this research is to measure Functional Point at ROFP and AOFP in accordance with the development project of information system by the national defense CBD methodology procedures and UML Interrelation Analysis that are recently and widely used in the developmental environment of object oriented information system. Furthermore, this study suggests the measurement method to obtain Functional Point, and identifies service function and object/class function in the correlation analysis of use case and class based on the products and UML modeling via traditional FPA model and object oriented FPA model. Above all, this study is to demonstrate the improvement of traditional Function Point Measurement Process, IFPUG-CPM and software cost basis, and reveal Function Point Measurement Process, which is appropriate to the development of object oriented information system, and suggest the evaluation results of the compatibility through case studies.Key Words:Function Point Measurement, Object Oriented Function Point, UML Interrelation Analysis Function Point Measurement Process
Predicting Outcomes in Introductory Programming using J48 Classification

In a computer science (CS) major, Introductory Programming becomes a substantial course, which determines whether students can complete that major or not. This study evaluates the correlation between student data with the students’ capacity to pass that course. Such correlation is exploited according to a data mining technique called J48. For each student, the work incorporates personal, prior education, admission and assessment data. Based on an evaluation of 41 pieces of student data, the national test score for mathematics in Indonesia presents the most promising attributes, followed by the admission test score. The results of this study are expected to provide a brief insight for CS lecturer and the university, so that they can handle emerging issues in CS education, especially, the low retention rate.
Eye Reconstruction and Modeling for Digital Humans

The creation of digital humans is a long-standing challenge of computer graphics. Digital humans are tremendously important for applications in visual effects and virtual reality. The traditional way to generate digital humans is through scanning. Facial scanning in general has become ubiquitous in digital media, but most efforts have focused on reconstructing the skin only. The most important part of a digital human are arguably the eyes. Even though the human eye is one of the central features of an individual’s appearance, its shape and motion have so far been mostly approximated in the computer graphics community with gross simplifications. To fill this gap, we investigate in this thesis methods for the creation of eyes for digital humans. We present algorithms for the reconstruction, the modeling, and the rigging of eyes for computer animation and tracking applications. To faithfully reproduce all the intricacies of the human eye we propose a novel capture system that is capable of accurately reconstructing all the visible parts of the eye: the white sclera, the transparent cornea and the non-rigidly deforming colored iris. These components exhibit very different appearance properties and thus we propose a hybrid reconstruction method that addresses them individually, resulting in a complete model of both spatio-temporal shape and texture at an unprecedented level of detail. This capture system is time-consuming to use and cumbersome for the actor making it impractical for general use. To address these constraints we present the first approach for high-quality lightweight eye capture, which leverages a database of pre-captured eyes to guide the reconstruction of new eyes from much less constrained inputs, such as traditional single-shot face scanners or even a single photo from the internet. This is accomplished with a new parametric model of the eye built from the database, and a novel image-based model fitting algorithm. For eye animation we present a novel eye rig informed by ophthalmology findings and based on accurate measurements from a new multi-view imaging system that can reconstruct eye poses at submillimeter accuracy. Our goal is to raise the awareness in the computer graphics and vision communities that eye movement is more complex than typically assumed, and provide a new eye rig for animation that models this complexity.
The performance and applications of a new current conveyor integrated circuit

The practical characteristics of a current conveyor integrated circuit are presented. The chip incorporates a connection of Wilson current mirrors, an emitter degeneration compensation scheme to optimize the transient response and stability of these mirrors, and circuitry which provides an enhanced output impedance. It is fabricated on a complementary NPN-PNP bipolar IC process. The resulting improvements in accuracy, frequency bandwidth, transient response, output impedance, and distortion are described, and applications where this performance can be used to advantage are outlined. <<ETX>>
Feature extraction, selection and classifier design in automated timelapse fluorescence microscope image analysis

Using automated time-lapse fluorescence microscope imaging to measure drug response, e.g. using taxanes and the vinca alkaloids to cancers, has become a common practice in cancer research ands drug discovery. A mature system usually consists of the following subsystems: image acquisition subsystems, image pre-processing subsystems, image analysis subsystems, database subsystems and data analysis subsystems. Particularly, the image analysis subsystems play a key role in determining the overall performance of this system. The image analysis subsystems comprise of a dynamic cellular segmentation module, a feature extraction, a cell-cycle phase identification module, a tracking module and a descriptor quantification module. In this chapter, we will systematically introduce the feature extraction/selection and cell-cycle phase identification module. To illustrate the general techniques mentioned above, an applied laboratorial system which includes the many descriptors representing nuclei, feature selections techniques and online-SVM will be introduced. These techniques can easily be applied for users’ own research purposes.
Measurement of power system subsynchronous impedances and comparison with computer simulations

A test method i s developed to measure the equivalent (driving point) positive sequence impedance, as a function of frequency, of an operating power system. The technique used i s to apply a phase-to-phase f a u l t at the system node of interest and record the transient voltage across and current i n the f a u l t . These quantities are then transformed into the frequency domain. The system dr i v i n g point impedance i s then taken as the r a t i o of the f a u l t voltage to the current at each point i n the frequency domain. Fi e l d results from a phase-to-phase f a u l t at a central location on the B.C. Hydro 500 k-V network are presented and analysed to determine the system dr i v i n g point impedance. The measured impedance versus frequency c h a r a c t e r i s t i c i s compared with a predicted impedance c h a r a c t e r i s t i c based on an E l e c t r o Magnetic Transient program study of a detailed model of the major B.C. Hydro transmission and generation. Correlation between the measured and calculated impedance i s good, with explanations offered for any l o c a l i z e d s i g n i f i c a n t disagreement. The explanations offered are subsequently v e r i f i e d by Ontario Hydro's improvements to the analysis of the test data and additions to the/ computer model data.
A Fuzzy Controller for Compensation of Voltage Sag/ Swell Problems using Reduced Rating Dynamic Voltage Restorer

Non linear loads are highly effected by variations in voltages. Dynamic voltage restorer is one of the most popular compensating devices due to its low cost and better performance. Usage of Park’s transformation technique effectively reduces the rating of Dynamic voltage restorer. Application of fuzzy logic controller for getting the better result is proposed in this paper. The results are verified in Matlab/Simulink environment.
A new agglomerative hierarchical clustering to model student activity in online learning

In this paper, a new technique of agglomerative hierarchical clustering (AHC), which is known as SLG (single linkage dissimilarity increment distribution, global cumulative score standard), can work well in analyzing students' activity in online learning as evidenced by obtaining the highest score in testing the validity index of cophenetic correlation coefficient (CPCC) ie 0.9237, 0.9015, 0.9967, 0.8853, 0.9875 of the five datasets compared with conventional agglomerative hierarchical clustering methods.
Semantic Encoding Strategy Training in Foreign Language Acquisition: The Modern Standard Arabic (MSA) Model

This presentation represents a paper devoted to pedagogical participation in researches conducted in applied linguistics literature, seeking to take an active role in maximizing the effectiveness of foreign language (FL) teaching and learning strategies. The paper highlights an innovative foreign language teaching strategy, that is, applying ? semantic-encoding strategy training? in foreign language acquisition, giving weight to Modern Standard Arabic (MSA) teaching and learning strategies. Three research questions guided the paper topic:RQ1: How can foreign language learners acquire new input effectively? RQ2: What Brodmann? s cortical areas are involved in semantic encoding processing during intentional encoding? RQ3: How can MSA instructors conduct semantic encoding strategy training effectively in classroom? The researcher initiated the paper by reminding of ? information processing? in human brain to indicate the role of ? semantic encoding? in foreign language acquisition. The paper referred to two experiments conducted by two teams of practitioners composed of psychologists, radiologists and psychiatrists, who were interested in investigating the role and function of Brodmann? s cortical areas assigned to language learning:1. Demb et al: Semantic encoding and retrieval in the left inferior prefrontal cortex (LIPC): A functional MRI study of task difficulty and process specificity. 2. Kirchhoff et al: Cognitive and neural effects of semantic encoding strategy training in older adults.The researcher demonstrated Brodmann? s cortical areas involved in semantic encoding processing during intentional encoding, as well as the particular function of each area during language learning: ? Area 45- Pars Traingularis (Broca? s area),? Area 46- Dorsolateral Prefrontal Cortex,? Area 47 ? Inferior Prefrontal Gyrus, ? Medial superior fontal gyrus (Areas 8, 9&10),? Right prefrontal gyrus (Area 4),? Left caudate (Area 22),? Prefrontal lateral temporal (includes areas 9 & 46), and? Left lateral temporal (Area 21). The researcher introduced ? Systematically- Linguistic Structured Pattern? (SLSP) as ? a systematic-linguistic pattern facilitates perceiving the linguistic concept of the interlocking and intertwined grammatical components and linguistic characteristics of a language taught as a target language (TL) and serves as semantic encoding-based-teaching approach. The researcher concluded the paper by providing a model of ? semantic encoding strategy training? application employing SLSP in MSA instruction, which can be implemented in MSA learning setting, aiming at reducing\eliminating the challenges that learners encounter during MSA acquisition.