Miracle-dz/UniFAR-FTUs huggingface dataset:
Multi-Objective Optimization of an Counter Rotating Open Rotor using Evolutionary Algorithms

In the present work, a recently developed platform for turbomachinery design and optimization based on Evolutionary Algorithms (EAs) is presented. Two types of evolutionary algorithms are implemented. The first one based on Genetic Algorithms (GAs) and the second one on Differential Evolution (DE), both able to handle single- and multi-objective as well as constrained and unconstrained optimization problems. Meta-modeling based on Radial Basis Functions (RBFs) is used in order to help accelerate the optimization when the objective function is too expensive to be evaluated inside the EA. Details on the implementation as well as validation results for a set of well-known benchmark cases are presented. The platform is also combined with 3D CFD simulations to optimize the aerodynamic performance of a Counter Rotating Open Rotor (CROR). Results from the CROR optimization are discussed and analyzed.
CABMD: A new clustering algorithm based on membership degree of node for mobile ad hoc networks

Abstract In this paper, we propose clustering algorithm based on the membership degree of node for mobile ad hoc networks (CABMD). The aim of CABMD focuses on cluster-head election and cluster formation. The cluster - head election is based on quality of node that is calculated by a combination of characteristics such as connectivity, energy and mobility of nodes. The node has the best quality among all of the nodes is elected as first cluster-head and forms its cluster based on the membership degree of the node that is related to its quality and distance between the cluster-head and node. This procedure follows for election of next cluster-heads and formation of their clusters until all of the nodes in the network are elected as cluster-heads or cluster-members. This study uses the characteristics of CEMCA algorithm and tries to improve its performance by a new method. We apply membership degree for clustering, so that the performance of clusters in the network will be improved. We have simulated our algorithm (CABMD) by NS-2 in order to measure the performance of it. Our results will be compared with the Weighted Clustering Algorithm (WCA), connectivity, energy and mobility driven weighted clustering algorithm (CEMCA) and connectivity, residual battery power, average mobility, and distance algorithm (CBMD).
Modelo animal para estudo do temperamento : relevância para os transtornos de humor

5 1. Introdução. 6 1.1 Temperamento. 6 1.1.1 Classificações dos tipos de temperamento. 6 1.2. Caráter . 6 1.3 Personalidade. 9 1.4 Transtornos de humor. 9 1.4. 1 Histórico . 9 1.4. 2 Tipos de transtornos de humor . 10 1.4. 3 Modelos animais para transtornos de humor. 12 1.4. 3.1 Modelo animal para depressão . 14 1.4. 3.2 Modelo animal para mania . 15 1.4. 3.3 Modelo animal para transtorno bipolar . 16 1.5 Hipótese . 17 2.Objetivos. 18 2.1 Objetivo geral . 18 2.2 Objetivos específicos. 18 SEGUNDA PARTE. 19 ARTIGO.21 TERCEIRA PARTE . 28 Discussão. 29 Perspectivas.36 Referências Bibliográficas. 37
Parallel Processing of Top-K Trajectory Similarity Queries with GPGPUs

Through the use of location-sensing devices, it has been possible to collect very l arge datasets of trajectories. These datasets make it possible to issue spatio-temporal queries with which users can gather information about the characteristics of the movements of objects, derive patterns from that information, and understand the objects themselves. Among such spatio-temporal queries that can be issued is the top-K trajectory similarity query. This query finds many applications, such as bird migration analysis in ecology and trajectory sharing in social networks. Howev er, the large size of the trajectory query sets and databases poses significant computational challenges. In this work, we propose a parallel GPGPU algorithm Top-KaBT that is specifically designed to reduce the size of the candidate set generated while processing these queries, and in doing so strives to address these computational challenges. The experiments show that the state of the art top-K trajectory similarity query processing algori thm on GPGPUs, TKSimGPU, achieves a 6.44X speedup in query processing time when combined with our algorithm and a 13X speedup over a GPGPU algorithm that uses exhaustive search. The experiments also show that the time overhead incurred by Top-KaBT is very small because it only represents 2.5% of the average query execution time spent by TKSimGPU when combined with Top-KaBT. This is an extended work of Leal, Gruenwald, Zhang and You, 2016, which was published in the Proceedings of IEEE International Congress on Big Data (Big Data Congress) 2016.
Técnica de pronóstico de la demanda basada en Business Intelligence y Machine Leaming

Pronosticar ciertos eventos constituye una actividad por la cual el ser humano siempre sintió fascinación y necesidad de realizarlo. En la actualidad, uno de esos eventos se relacionan con las empresas y consiste en pronosticar la demanda de ventas para un período futuro, a su vez representa uno de los más importantes retos con que se enfrenta una organización. Este pronóstico de demanda disminuirá la incertidumbre del Gerente de Compras en el momento de tomar decisiones acerca del volumen de productos a adquirir para la reposición de stock. Este trabajo propone una nueva técnica de pronósticos basada en la integración de herramientas de Business Intelligence y Machine Leaming. Los experimentos indican que el modelo propuesto alcanza resultados prometedores y esta nueva técnica puede transformarse en una sólida herramienta de apoyo para la toma de decisiones.
Role of corporate strategy in global sustainability of higher educational institutions

Higher education is a strategically important part of the education system in every country making a direct impact on the political, economic, social and cultural life. During the past decade, many countries in the world have made massive efforts to assure the quality in higher education striving for meaningful contribution to sustainability. Global tendency of higher education development is its change from elite to mass education when efforts to pursue quality in order to respond to the challenges of the knowledge-based society are shown up. In general there is a felt need for Higher Education and many people opt for it. Higher Education is not only considered in terms of better employment opportunities and better salary prospective. But it also means enhancement of contemporary knowledge of professionals enabling the sustainability of the society as a whole. Thus, sustainability challenges the current paradigms, structures as well as predominant practices in higher education, it also changes the roles of students and their teachers. The growing requirement for quality, internationalization and interdisciplinary requirements forces Higher Education to development and constant change.
The Impact of Management, Family, and Institution on The Auditor’s Going Concern Opinion Issuance Decision

Incidents where external auditors do not issue a going concern audit opinion (GC opinion) to companies having severe financial problems have been reported globally. This issue motivated this study -- (i) to investigate the effect of selected auditor characteristics in terms of specialization, tenure, and fee on GC opinion issuance and (ii) to examine the moderating effect of management’s, family’s, and institution’s influence on the relationship between auditor characteristics and GC opinion issuance. The study involves 644 Malaysian financially distressed listed companies in the period 2006 to 2012. The results of a panel logistic regression analysis show that auditor characteristics have no relationship with GC opinion issuance. Influential management -- measured as the level of their ownership -- can dampen the positive relationship between auditor specialization and auditor tenure with GC opinion issuance. The presence of an influential family, on the other hand, can strengthen the positive relationship between auditor tenure and GC opinion. No evidence about an influential institution’s impact on the GC opinion process could be found. In conclusion, while auditor characteristics do not affect the possibility of a GC opinion issuance and/or audit quality, pressure imposed by influential management and family on the auditor during the audit opinion decision process does have an impact.
Towards Encrypted In-Network Storage Services with Secure Near-Duplicate Detection

In-network storage is recognized as a vital component of many emerging network architectures, which facilitates high-quality and efficient content-centric services. In this trend, providing content-based near-duplicate detection (NDD) services among in-network storage becomes naturally necessary for network traffic alleviation and resource optimization. However, due to the increasing attacking surfaces, storing data in the networked environment inevitably raises new concerns about user privacy exposure and unauthorized data access. Therefore, we aim to design a secure NDD service in the context of encrypted in-network storage. For efficiency, we first leverage the fingerprint techniques and locality-sensitive hashing to convert the problem of NDD into the keyword search. We then adopt an efficient multi-key searchable encryption scheme, which requires only one encrypted query from the user even the data are from multiple content providers encrypted with different keys. As simply combining the above methods does not appear to directly locate accurate results, we then devise a secure result refining scheme via Yao’s garbled circuits to avoid user-side post-processing. Furthermore, we enhance our design to address the potential malicious behavior of in-network servers. Extensive evaluations of real-world image dataset demonstrate that our design can achieve comparable accuracy to the plaintext with modest security overhead.
The Impact of Medical Tourist Relationship Management Dimensions on Innovation Capabilities

This study investigates the one-to-one effect of medical tourist relationship management on innovation capabilities. This study employed regression analysis to test the research hypotheses in a sample of 306 medical tourists in Amman, Jordan. The findings indicate that long- term relationship and joint problem solving have positive impacts on all types of innovation. Knowledge management and customer involvement have positive influences on the product, process, service, and marketing innovations. Technology-based CRM has positive impacts on product, service, and process innovation. Finally, this paper discusses practical implications and future study directions.
Multi-Thread Optimization for the Calibration of Microscopic Traffic Simulation Model

This paper proposes an innovative multi-thread stochastic optimization approach for the calibration of microscopic traffic simulation models. Combining Quasi-Monte Carlo (QMC) sampling and the Particle Swarm Optimization (PSO) algorithm, the proposed approach, namely the Quasi-Monte Carlo Particle Swarm (QPS) calibration method, is designed to boost the searching process without prejudice to the calibration accuracy. Given the search space constructed by the combinations of simulation parameters, the QMC sampling technique filters the searching space, followed by the multi-thread optimization through the PSO algorithm. A systematic framework for the implementation of the QPS QMC-initialized PSO method is developed and applied for a case study dealing with a large-scale simulation model covering a 6-mile stretch of Interstate Highway 66 (I-66) in Fairfax, Virginia. The case study results prove that the proposed QPS method outperforms other methods utilizing Genetic Algorithm and Latin Hypercube Sampling in achieving faster convergence to obtain an optimal calibration parameter set.
Pengaruh Load Balancing Pada Pemrosesan Paralel untuk Kompresi Video

Communication and multimedia, especially video data processing require very high resource both computing resources and communication traffic. This requires high-end machines such as servers with high specifications are of course very expensive. This results builds a web based application that implements the concept of parallel processing with load balancing process based CPU Usage to compress video files with FFmpeg software.The results are conditioned compression has half the resolution of the original video data. Based on the test results indicate with load balancing process parallel concepts used, the compression process showed an average speed up value of 8.07% faster than paralle Non load balancing process with 2 compressors, 37.57% with 3 compressors, and 41.24% with 4 compressors. The level of processor efficiency by 28.76% more efficient than paralle Non load balancing process with 2 compressors, 37.57% with 3 compressor, and 41.24% with 4 compressors. Keywords: pemrosesan paralel, kompresi video, Load Balancing, CPU Usage
Mediensynchronizität - Theorie und Anwendung bei Gruppenarbeit und Lernen

As the number of available media increases, teachers and learners have to make a sound choice, which media should be used for what purpose. The paper presents the Theory of Media Synchronicity of Dennis and Valaccich and explores its potential contribution to group collaboration and learning. While the popular Media Richness Theory regards a thorough understanding of communication partners as sole problem to be solved by adequate media choice, the Theory of Media Synchronicity also includes the issues of group productivity. These problems become important when group sizes increases, as it is the case in traditio-nal learning. The Theory of Media Synchronicity therefore has the potential to contribute to more informed media choice in learning, but very likely needs to be further developed to hold up to this promise. The paper includes specific conclu-sions for media choice in learning deduced form the general propositions of the Theory of Media Synchronicity. Zum Autor: Gerhard Schwabe ist Universitätsprofessor für Wirtschaftsinformatik an der Universität Koblenz-Landau. Seine Forschungsinteressen beinhalten insbesondere die Computerunterstützung der Zusammenarbeit in so diversen Anwendungsbereichen wie geschäftlichen Sitzungen, Gemeinderäten oder auch Lerngruppen.
DETERMINAN NON-PERFORMING FINANCING PADA BANK UMUM SYARIAH DI INDONESIA

The accumulation of non performing financing in economic activities financed by banks can cause problems with the continuity of the bank's operations, if that exceeds certain limits will have potential to stop the bank's activities. This study aims to analyze the influence of bank’s internal variables like FDR, CAR, BOPO and bank external variables like macroeconomic indicators consisting of exchange rates, inflation and GDP (GDP) against non-Performing Financing (NPF) of Islamic Commercial Banks in Indonesia. The data used are monthly industrial time series of Sharia Commercial Banks (BUS) for the period June 2014 to December 2018 sourced from the Islamic Banking Statistics of the Financial Services Authority, the Central Bureau of Statistics (Badan Pusat Statistik) and Bank Indonesia and analyzed using multiple regression methods. The research implications explain the relationship between the internal variables of the bank company (FDR, CAR and BOPO) and macroeconomic variables (Inflation, Exchange and GDP) on the NPF of Islamic banks in Indonesia so that they can be used as input for the relevant authorities in making policies to suppress NPF at a low level. The variables used can provide an overview of the role of the implementation of sharia public bank governance and existing macroeconomic conditions so that it can produce policies and provisions in the field of sharia banking that are effective and on target. The results showed that the CAR variable had a significant effect on NPF with negative influence. Whereas FDR, BOPO, exchange rate, inflation and GDP have no influence on NPF BUS in IndonesiaKeywords: Non Performing Financing, Non Performing Loan, Islamic Commercial Bank, Indonesia.
Predicting fraud in mobile money transfer

Mobile Money Transfer (MMT) is a fast growing medium of making financial transactions via a mobile device. It is increasingly becoming adopted in growing markets especially in developing countries. The ability of Mobile Money Transfer services (MMT) to handle large number of small value payments worldwide funds exchange in digital currencies and lack of oversight makes it an attractive target for attackers and fraudsters. Although the risks inherent in all payments channels exist in the mobile money payment environment. The usage of mobile money transfer technologies introduces additional risks caused by the large number of non-bank participants, higher speed of transactions and level of anonymity compared to mobile banking and mobile commerce systems. This provides motivation for detecting and preventing fraudulent mobile money transactions in mobile payment systems. The main objective of this thesis is to investigate and propose a pattern recognition model to predict fraud in Mobile money transfer transactions. To this end, a novel pattern recognition model has been proposed from the findings of this thesis. Also, synthetic mobile money transfer transaction dataset was simulated with possible different fraud scenario(s) to explore. The applicability of the proposed pattern recognition model was evaluated using the simulation dataset. From the results of the experiments, a promising recognition performance was achieved. The results also provide the ranking of clusters of transaction neighbours for new cases which may operate as an effective tool for experts to develop preliminary insight into suspicious transactions which can then be investigated in more detail.
The RSA key generation process via power analysis

Odběrova analýza je zavažným bezpecnostnim problemem cipových karet. Odběrova analýza cipových karet využiva informaci uniklých během provaděni kryptografických operaci. Cilem teto diplomove prace je popsat metody, ktere mohou zabranit odběrove analýze. Dalsim cilem je provest analýzu odběrových stop, ktere byly naměřeny během generovani nahodných cisel, RSA sifrovani/desifrovani a generovani RSA kliců na 11 cipových kartach, ktere podporuji Java card.
Branding social work in employee assistance

At the core of this thesis lies the conception that branding theories might bear insights for individuals who aim to establish their professional existence outside of the area for which their profession grants them credibility. One group of such professionals was found in self-employed social workers who offer employee assistance to private corporations. They operate outside of what is widely acknowledged as the competence area of the social work profession, which would be publicly mandated welfare work. The purpose of this study was to explore how social workers have branded their employee assistance and how companies perceive that service. Based on a case study and fifteen semi-structured interviews with professional social workers, company representatives, and other experts, this study examines which aspects of branding can be seen relevant for the characterised group of professionals. This study focused on brand awareness and brand associations to provide a not yet undertaken application of branding theories to the cases of occupational social workers in Austria. The findings suggest that self-employed professionals manage their service category, their professional affiliation, and information that target groups have. Performing those branding activities, they should aim to be present in a limited reach, know the context for their service provision, and make the service personally relevant to the target group. The findings suggest they create this relevance, among others, by reframing needs which target groups recognised. This thesis’ adds a new framework to the literature. It shows factors that were found relevant to the branding of social-work-based employee assistance in Austria and will support practitioners and scholars when analysing similar cases. (Less)
The Integration Of Audio Into Multimodal Interfaces: Guidelines And Applications Of Integrating Speech, Earcons, Auditory Icons, and Spatial Audio (SEAS)

The current research is directed at providing validated guidelines to direct the integration of audio into human-system interfaces. This work first discusses the utility of integrating audio to support multimodal human-information processing. Next, an auditory interactive computing paradigm utilizing Speech, Earcons, Auditory icons, and Spatial audio (SEAS) cues is proposed and guidelines for the integration of SEAS cues into multimodal systems are presented. Finally, the results of two studies are presented that evaluate the utility of using SEAS cues, developed following the proposed guidelines, in relieving perceptual and attention processing bottlenecks when conducting Unmanned Air Vehicle (UAV) control tasks. The results demonstrate that SEAS cues significantly enhance human performance on UAV control tasks, particularly response accuracy and reaction time on a secondary monitoring task. The results suggest that SEAS cues may be effective in overcoming perceptual and attentional bottlenecks, with the advantages being most revealing during high workload conditions. The theories and principles provided in this paper should be of interest to audio system designers and anyone involved in the design of multimodal human-computer systems.
IMPLEMENTASI TWO FACTOR AUTHENTICATION DAN PROTOKOL ZERO KNOWLEDGE PROOF PADA SISTEM LOGIN

Abstract — This paper describes a login system utilizing Two Factor Authentication and Zero Knowledge Proof using Schnorr NIZK. The proposed system is designed to prevent password leak when being sent over insecure network or when used in an untrusted devices. Zero Knowledge Proof is used for maintaining the confidentiality of the password and Two Factor Authentication is used to secure login process on untrusted devices. The proposed system has been tested and initial results indicates that such system is able to secure the login process without leaking the user’s password. Keywords— Authentication, Security, Two Factor Authentication, Password, Zero Knowledge Proof
A Hybrid Hierarchical Control Plane for Software-Defined Network

Software-defined networking (SDN) is an emerging technology where control of the entire network is given to software. Although the Internet has made great progress and brought much more convenience to people’s ordinary life in recent years, the fact that it still provides a kind of Best-of-Effort service to application which is not changed since its invention. SDN is an new method to networking in which control is decoupled from the physical infrastructure, control plane from individual hardware is collected and given to a centralized software entity called controller. As to specific characteristics, architecture of SDN makes it desirable to customize the network. In this paper failover scenarios of SDN with respect to routing and scaling to larger networks have been identified. As a solution to it, the design combines the concept of a hybrid hierarchical control plane which can reduce the computational complexity growth of the SDN control plane by constructing abstracted hierarchical network views and an abstracted hierarchical routing method to address routing failovers.