Miracle-dz/UniFAR-FTUs huggingface dataset:
Structural equation modelling

We studied the relationship between the change in the price of oil and some of its determinants, using the structural equation model. The demand for oil is confirmed to be inelastic to the change in oil price during our sampling period. Economic activity is found to be the most significant factor in explaining the dynamics of oil price. Wars and political tension, among the largest oil producing countries and neighbouring countries, are found to have a significant indirect effect on the price of oil through their effect on oil supply, but no significant direct effect was confirmed by the SEM.
Comparison the Word Stimuli of Related Search Term and WordNet in Concept Generation

In the game graphic design process, design results are based on ideas that drives major decisions. Many information and stimuli could help to determine an initial game graphic design concept which is called concept generation. In this study Related Search Term and WordNet stimuli were given to the game design students in the concept generation. This study seeks to clarify which kind of stimuli contributes more to the creativity of the game graphic design concept. As a result, significant difference was found in creativity scores between two conditions. This result showed that related search terms which are based on collective knowledge could assist as stimuli on concept generation more effectively than WordNet which offers semantic dictionary definitions.
Internal branding: In search for employee commitment and brand supportive behavior : Research in a laboratory organization how internal branding enhances the delivery of the brand promise by employees

Internal branding has a positive relationship with brand commitment and brand supportive behavior. In order to investigate the relationship of internal branding aspects on brand commitment and brand supportive behavior, a correlational study was conducted. The research was conducted among 142 employees who have customer contact. Opposing to previous studies regarding internal branding, this study embraces the broader framework of brand commitment including affective, continuance, and normative commitment, instead of solely affective commitment. In addition, this study distinguished internal branding in four aspects based on corporate identity management: adequacy of internal communication, internal communication climate, visual symbolism, and corporate behavior. Results suggest that in order to strengthen employees’ brand commitment and brand supportive behavior, organizations should align their internal branding aspects, internal communication and organizational behavior. Brand fit plays a mediation role. No focus is needed for visual symbolism, as no relationship with the employee-related outcomes was found. Although the role of the internal branding aspects varied, organizations implementing internal branding may benefit via employees showing brand supportive behavior and being committed to the brand, which leads to satisfying customers through proper delivering of the brand promises.
Proteção de Redes Ópticas Elá sticas com Multiplexação Espacial Baseada em Modulação, p-Cycle FIPP e Interferência Mínima

O trafego de redes tem crescido a uma taxa exponencial e esta tendencia exigira das redes do futuro grande capacidade, menor consumo de energia e tecnicas de protecoes eficientes. Os algoritmos de roteamento e atribuicao de espectro, com modulacao adaptativa para redes opticas elasticas, tem sido investigado como esquemas para proteger o trafego contra falhas de rede. Entretanto, nao foi ainda estudado para redes opticas elasticas usando multiplexacao por divisao espacial (SDM). Este artigo introduz um novo algoritmo para fornecer protecao de caminho, utilizando p-cycle, interferencia minima e modulacao para redes opticas elasticas com multiplexacao por divisao espacial. O desempenho do algoritmo proposto e comparado com os algoritmos existentes na literatura. Os resultados indicam que o algoritmo proposto fornece 100% de protecao para falhas individuais sob baixa sobrecarga.
Compassionate Emotion-Focused Therapy (EFT) for Cancer: The Human Touch

We have witnessed tremendous progress in cancer treatment and care during the past decades and with continuous innovations with one discovery building on another are responsible for most new advances in medicine that often leads to early detection and more effective options for treatment. However a diagnosis of cancer is still likely to be frightening and it often brings up a wide range of difficult emotions which have the significant impact on many areas of a person’s life. In this pursuit, a new dimension has been developed to work along with the clinical assessment and medical management-Emotion-Focussed Therapy (EFT). Emotion-focused therapy is empirically supported humanistic treatment that arose out the theoretical integration of research on psychotherapy with ideas from constructivist psychology, emotion theory and attachment theory.
Proposal of WDM receiving structure using tilted FBGs

Tilted fiber Bragg grating can couple light both to backward propagating core modes and cladding modes. We propose a WDM receiving device with high cladding and/or radiation mode coupling efficiency using etched cladding parts and tilted Fiber Bragg gratings(TFBGs) which are key components for doing wavelength selective operations. Each channel exhibits the cladding and radiation mode coupling efficiency of approximately 20%.
Operations on Signed Distance Functions

We present a theoretical overview of signed distance functions and analyze how this representation changes when applying an offset transformation. First, we analyze the properties of signed distance and the sets they describe. Second, we introduce our main theorem regarding the distance to an offset set in (X,||.||) strictly normed Banach spaces. An offset set of D in X is the set of points equidistant to D. We show when such a set can be represented by f(x)-c=0, where c denotes the radius of the offset. Finally, we explain these results for applications that offset signed distance functions.
Double Batch for RLWE-Based Leveled Fully Homomorphic Encryption ∗

To further improve the efficiency of Fully homomorphic encryption (FHE), a leveled FHE scheme based on the Ring learning with errors (RLWE) problem is put forward by simultaneously applying both batch tech- niques available. Our scheme therefore allows double pack- ing many plaintext values into each ciphertext to support single-instruction-multiple-data-type operations, which ef- fectively reduces the ciphertext expansion ratio. An effi- cient evolutionary method for achieving arbitrary homo- morphic permutation operations on a packed ciphertext is also provided by using several given key-switching hints. Further, a few new operations are introduced, with which not only to describe the key switching process in our batch setting clearly, but also to analyze the noise growth conve- niently.
TDVision: Um Módulo Computacional para Visualização de Dı́vidas Técnicas

Quality is an essential feature of software. However, the quality of a software usually decreases during development. This occurs most often by actions taken by the development team that bring short-term benefits, but compromise the quality and evolution of long-term software. This phenomenon is known in the literature as Technical Debt. Because of this, in this paper presents a module called TDVision to identify and visualize technical debt present in software, in order to support management and quality inspection activities.
Finite Element Analysis of Stimulated Brillouin Scattering in Integrated Photonic Waveguides

We describe a finite element algorithm for modeling stimulated Brillouin scattering in optical waveguides of arbitrary cross-section. The method allows rapid calculation of optical and elastic dispersion relations, field profiles, and gain. Additionally, we provide an open and extensible set of standard problems and reference materials to facilitate the bench-marking of our solver against subsequent tools. Such a resource is needed to help settle discrepancies between existing formulations and implementations, and to facilitate comparison between results in the literature. The resulting standardized testing framework will allow the community to gain confidence in new algorithms and will provide a common tool for the comparison of experimental designs of opto-acoustic waveguides.
Free upgrade of computer power with java, web-base technology and parallel computing

This paper presents inexpensive ways to implement parallel computing which will make tremendous impact on many areas of computer application. Any one has knowledge of Java and more than two computers can solve their old problems with new technology by use of parallel computing. However, parallel computers are still expensive today and thus only very large companies and rich universities can afford the use of parallel computing technologies to solve their complex problems. Special training is also required for programmers who write parallel programs. With the advancement of Java and Internet/Intranet technologies, small to medium size companies can now also use the benefit of parallel computing to solve computation intensive task with their microcomputers. Most companies have a large number of microcomputers/workstations and these computers are already connected to Internet/Intranet. Additional cost for hardware and software installation is not required to prepare these computers for parallel computing. This paper presents two simple models to use ordinary microcomputers, workstations for parallel computing and a brief tutorial on the concept. Experiments are conducted to test the performance of the parallel systems. The performance of these two models will be compared. The advantages and limitations of these models are also discussed in this paper. Applications of High Performance Computing in Engineering VI, C.A. Brebbia, M. Ingber & H. Power (Editors) © 2000 WIT Press, www.witpress. com, ISBN 1-85312-810-4 32 Applications of High-Performance Computers in Engineering VI
Análisis de flujo de corriente continua aplicado a sistemas eléctricos de potencia.

El desarrollo de esta tesis se basa en el analisis del comportamiento y variacion de los angulos de voltajes en las barras ademas del flujo de carga que pasa por las lineas del sistema de potencia por tal razon se realizo dos practicas experimentales para tomar datos y realizar la respectiva simulacion en MATLAB®. El flujo de CC o DC o tambien llamado linealizado nos proporcionara una respuesta no tan precisa pero considerable con respecto a otros metodos de resolucion que son mucho mas preciso ademas es mucho mas convencional por la facilidad de uso a comparacion de los metodos iterativos de resolucion
Measuring scattering light distributions on high-absorptive surfaces for stray-light reduction in gravitational-wave detectors.

In order to establish scattering measurements in material investigations for gravitational-wave detectors, we have built-up devices for measuring the hemispherical scattering distribution of materials which are planned to be used in those detectors as suppressors of scattered light. The measurement benches we have built, a hemispherical goniometer and a direct back-scatterometer, have a maximum background noise of ∼10 -4sr -1 BRDF at 1.064 μm wavelength which is the wavelength of the laser-light for our large interferometer for detecting gravitational waves, KAGRA. With these instruments, we have characterized the surface scattering of, e.g., NiP platings, metals, and different carbonaceous coatings, which are supposed to minimize the amount of scattered light in interferometers. The three most important materials for KAGRA's construction (SiC, "Solblack", and "VantaBlack") are presented in this paper. Furthermore, we will try to explain the scattering distributions with the generalized Harvey-Shack model (smooth-surface approximation) which is a common method for surface-scattering calculations. At the end, we give also some valuations about the vacuum compatibility of the materials, which is important for instruments like KAGRA that work under ultra-high vacuum conditions.
Research on the Impact of Valuation by Feeling and Calculation on Pro-social Behavior of Consumers Based on Field Experiments

—Previous studies have found that valuation by feeling and calculation have an impact on prosocial consumer behavior, however they only focus on the impact of positive emotional value, meanwhile they rarely use field experiments to carry out the empirical analysis. This paper explores the effects of valuation by fear feeling and by calculation on prosocial behavior by field experiments. The first experiment found that, based on the value of fear emotion, the prosocial behavior of consumers was reduced by arousing fear emotion, compared with the valuation by calculation. In experiment 2, the income factors of consumers were introduced to explore the different purchasing behaviors of different income groups based on valuation by calculation and by feeling. In low income, the value of fear emotion reduces the prosocial behavior of consumers relative to the valuation by calculation; in high income, the value of fear emotion increases the prosocial behavior of consumers compared to the valuation by calculation. In the end, this paper puts forward marketing suggestions for different experimental effects, and this will help the relevant companies in practice.
Rotating Machine Fault Diagnosis Based on Locality Preserving Projection and Back Propagation Neural Network–Support Vector Machine Model

In order to effectively recognize the rotating machine fault, a new method based on locality preserving projection and back propagation neural network–support vector machine model is proposed. First, the gathered vibration signals are decomposed by the empirical mode decomposition, and the corresponding intrinsic mode functions are obtained. Then, Shannon entropies of the intrinsic mode functions are used as the original features. But the extracted features have the problems of high dimension and redundancy. So, the manifold learning algorithm locality preserving projection is introduced to extract the characteristic features and reduce the dimension. The characteristic features are inputted to the back propagation neural network–support vector machine model to train and construct the fault diagnosis model, and the rotating machine fault condition identification is realized. The running states of a normal inner race and several inner races with different degrees of fault were recognized; the results validate the effectiveness of the proposed algorithm.
An Effective SVM Ensemble Algorithm Based on Different Thresholds of PCA

This paper proposes an effective ensemble classifier, named PCAenSVM, which consists of ten weak Support Vector Machine classifiers based on different Principal Component Analysis thresholds. Those ten base Support Vector Machine classifiers are made up to fulfill classification tasks using Majority Voting strategy. Experiments are made on four UCI data sets and a data set from the Uppsala University to evaluate the performances of PCAenSVM. The results of PCAenSVM are compared with that of LibSVM and EnsembleSVM. Experimental results show that PCAenSVM has better classification accuracy than other two algorithms. Moreover, PCAenSVM has the same confidence level with the LibSVM, and its confidences of accuracy and sensitivity on those five data sets outperform that of the EnsembleSVM.
EXAMINATION OF MENTAL TOUGHNESS LEVELS OF DART PLAYERS

Purpose: The aim of this study was to investigate the mental toughness levels of athletes interested in the dart sector. Methods: In our study; SMTQ, consisting of 13 items and 3 sub-dimensions were used. The sample group consisted of 53 athletes and personal information form also applied to the participants. Since the data set did not conform to the normal distribution, Mann-Whitney U and Kruskal Wallis H tests were used for nonparametric. Results: At the end of the research; there is no statistically significant difference found in all sub-dimensions of the scale when the level of the mental toughness of the participants is examined according to gender and age group. However, we found that there is a significant difference in confidence sub-dimension also there was no statistically significant difference in the average constancy and control sub-dimensions of the participants according to the training age groups. Conclusions: In the study, it was determined that age and gender variables had no effect on mental toughness level in the sport, however, the athletes with 4-5 years of experience in the confidence subscale of the training age had less mental toughness than the other groups. In this respect, we can say that more experienced athletes have more mental toughness levels. Article visualizations:
Symbolic execution for testing complex software

This dissertation presents a novel symbolic execution technique for comprehensively testing complex software. The main insight behind our technique is that code can automatically generate its own (potentially highly complex) test cases. To this end, the code is run on symbolic input, whose value is initially unconstrained. As the checked code runs, we track the constraints on each memory location whose value depends on the symbolic input. If the code reaches a branch involving such a memory location and both sides are feasible, we fork execution and follow each path, constraining the expression to be true on the true path and false on the other. When a path terminates or hits a bug, we can automatically generate a test case exercising that path by solving the current path constraints for concrete values. By keeping track of the exact constraints on each explored path, our technique gains the ability to reason about all possible values on these paths, and thus can be effectively used to find deep errors. At potentially dangerous operations (e.g., a pointer dereference), our technique can detect if the current path constraints allow any values that cause a bug. This is a significant advantage over traditional dynamic execution techniques, which can only detect an error if they are provided with a specific test case that triggers it (e.g., one where the pointer value is out-of-bounds). We present two main systems based on this technique, EXE and KLEE, and show that they can automatically generate high-coverage test suites and find deep errors in a variety of complex applications, ranging from user-level utilities to network servers, device drivers, packet filters and file systems. For example, we apply KLEE to all 89 stand-alone applications in the GNU C OREUTILS suite, which forms the core user-level environment installed on millions of UNIX systems, and is arguably one of the most heavily tested sets of open-source programs in existence. KLEE-generated test suites achieve on average over 90% line coverage, significantly beating the coverage of an extensive manual test suite built incrementally over a period of more than fifteen years. As an additional illustrative example we use EXE to mount attacks against file systems code, by automatically generating raw ext2, ext3 and JFS disk images that cause the kernel to panic when mounted under LINUX.
Adaptive Fuzzy Control for High-Order Nonlinear Time-Delay Systems With Full-State Constraints and Input Saturation

This paper investigates adaptive fuzzy tracking control for high-order nonlinear time-delay systems with full-state constraints and input saturation. By adopting fuzzy approximation technique, frequently used growth assumptions imposed on unknown system nonlinearities are removed. High-order barrier Lyapunov functions are employed to prevent the transgression of full-state constraints. The auxiliary subsystem and the Nussbaum gain technique are utilized to analyze the effect of input saturation. Appropriate Lyapunov–Krasovskii functionals are constructed to compensate the adverse effect caused by the unknown time-delay. Novel feasibility conditions are formulated as sufficient conditions for the existence of proposed control. It is rigorously proved that all the closed-loop signals are bounded in the semi-global sense, error signals converge to small bounded compact sets, full-state constraints, and input saturation are not violated, and the arguments of unknown nonlinearities are constrained within a compact set, on which fuzzy approximation is valid. Eventually, the theoretical result is confirmed by two simulation examples.
Deviance information criteria for mixtures of distributions

Abstract As a Bayesian criterion for model comparison, Spiegelhalter et al. proposed the deviance information criterion (DIC) which consists of two parts: a classical estimate of fit and an effective number of parameters. This model comparison method is based on generalized linear models, and it may be inappropriate to be used for comparison in the case of mixture of distributions mainly due to the label switching and multimodality issues. For this purpose, Celeux et al. proposed several modified DIC constructions and assessed their behaviors under a mixture of distributions, however they did not fully explore the properties of alternative DICs. Here, we study and provide the properties of DIC3, one of the variations Celeux et al. proposed, and propose our modified DIC to lessen the issue raised by using the dataset twice. We compare our proposed criterion to other model selection criteria based on two numerical examples, the Galaxy dataset and the simulated dataset.
Pengukuran Kepuasan Pengguna Sistem Informasi Dosen Menggunakan Metode Servqual

STIKOM Bali sebagai salah satu perguruan tinggi yang telah menerapkan banyak sistem informasi dalam membantu proses bisnisnya, terdapat sistem informasi yang membantu pengelolaan terhadap tugas dan peran Dosen. Sistem informasi tersebut dinamakan dengan Sistem Informasi Dosen (SID). SID telah banyak mengalami perkembangan dari segi fitur dan fungsi yang akan mempermudah Dosen. Fungsi yang terdapat pada SID saat ini adalah dapat menampilkan informasi umum terkait mahasiswa, profil dosen, hasil evaluasi mengajar dan history kelas ajar. Fitur atau fungsi utama lain adalah mengenai dosen wali, dosen pembimbing, dosen koordinator dan jadwal dosen penguji. Salah satu cara untuk mengoptimalkan dan meningkatkan kinerja sistem informasi adalah dengan mengetahui kepuasan dari sisi pengguna ataupun user. Kinerja sistem informasi dapat dilihat dari kepuasan pengguna dalam penggunaan sistem informasi tersebut. Oleh karena itu, pada penelitian ini dilakukan penilaian terhadap kepuasan pengguna SID sehingga dapat diketahui kinerja SID tersebut. Metode yang digunakan dalam pengukuran kepuasan adalah metode Servqual. Metode penelitian yang digunakan dalam penelitian ini adalah pendefinisian masalah, eksplorasi konsep, analisis, pengumpulan data dan analisis data serta penarikan kesimpulan. Berdasarkan hasil perhitungan skor Servqual diperoleh kualitas dari tangible, reliability dan emphaty masih kurang baik. Sedangkan kualitas dari responsivenes dan assurance sudah baik sehingga dapat disimpulkan bahwa tingkat kepuasan pengguna terhadap SID adalah kurang puas.
Analysis and Design of Reset Control Systems

Reset control is concerned with the reset of a system, when it is disturbed, to overcome the inherent limitations of linear feedback control and improve robustness. It has found applications in many practical systems including flexible mechanical systems, tape-speed control systems, and high-precision positioning systems.This book provides a comprehensive introduction to the theory of reset control. It draws on the authors own research, and that of others, to explore the application of reset control in a variety of settings, with an emphasis on hard disk drive servo systems. Topics covered include: Basic concepts of reset control; Robust stability; Frequency domain analysis; Reset control systems with discrete-time reset conditions; Reset control design; and Application of reset control to hard disk drive servo systems.