Miracle-dz/UniFAR-FTUs huggingface dataset:
Efficient Exploring Multiple Execution Path for Dynamic Malware Analysis

As the number of malware has been increased, it is necessary to analyze malware rapidly against cyber attack. Additionally, Dynamic malware analysis has been widely studied to overcome the limitation of static analysis such as packing and obfuscation, but still has a problem of exploring multiple execution path. Previous works for exploring multiple execution path have several problems that it requires much time to analyze and resource for preparing analysis environment. In this paper, we proposed efficient exploring approach for multiple execution path in a single analysis environment by pipelining processes and showed the improvement of speed by 29% in 2-core and 70% in 4-core through experiment.
Design and development of EMG controlled bionic prosthesis hand

This paper suggests a new approach to an EMG controlled prosthetic hand. The biomechanical, ergonomics, electrical/electronics, hardware/software aspects of the design are described in the article. The most important objectives of this project include: simplified model of fingers and thumb, the basic functionality (especially opening and closing the hand), a simple controlling model to fulfil user’s expectations, simplified construction with a minimum number of drives, modular construction for the future expansion. The rapid prototyping was used to make selected elements of a prototype. Projekt sterowanej sygnałami EMG bionicznej protezy dłoni Słowa kluczowe: bioniczna proteza ręki, mechatronika, sterowanie EMG
Usability and User Experience Evaluation Methods

Mass customization has become a buzz word relating to the ability to provide customized products or services through flexible processes in high volumes at reasonable costs (Da Silveira, Borenstein and Fogliatto, 2001). Customization can be found in almost all areas of daily life ranging from T-shirts with personalized messages, shoes with personalized color concepts to the personalization of IT and ICT products, like cell phones with new forms of ringtones, to new forms of entertainment like interactive TV, allowing users to personalize and individualize their content (Riemer and Totz, 2001). Following these examples we use the term mass customization describing “a system that uses information technology, flexible process, and organizational structures to deliver a wide range of products and services that meet specific needs of individual customers” (Da Silveira et al., 2001, p. 2). Mass customization can exist on varying levels and several factors contribute to the success of a mass customization system. From the organizational and market-related perspective the customer ABSTRACT
The tyche cpu scheduler

Multimedia PCs run a diverse mix of multimedia, interactive, and batch applications. To better support the variety of real-time requirements generated by this application mix, multimedia PCs are evolving from soft to firm real-time systems. The hallmark of a firm real-time system is its ability to provide predictability to the user and applications. Share-based CPU schedulers provide predictable CPU service to applications by allowing fractions of the CPU to be reserved on their behalf; if the share of an application is k, and the sum of all application shares is n, then the application receives at least k/n of the CPU capacity. Share-based CPU schedulers are frequently proposed for use in multimedia systems. A challenge facing the user of a multimedia PC with a share-based CPU scheduler is to select a share value for every application so that the application receives sufficient resources to help the user accomplish his goals. Finding the optimal share assignment is NP-hard, implying that many choices of application shares will be less than optimal in practice. This thesis argues that a multimedia CPU scheduler must gracefully handle the situation where the user is dissatisfied with an application's performance because its chosen share is too small. In this situation, the system should help the user prioritize among applications, and the scheduler should shift CPU cycles to the more important applications to help satisfy their real-time requirements. In this dissertation we present a new CPU scheduler called Tyche. Tyche consists of a share-based scheduler augmented with a novel share shifting mechanism that assists the user in achieving his goals when the share of a multimedia or interactive application is too small. We derive the Tyche algorithm mathematically by extending the theory on which many share-based schedulers are based; analyze its real-time properties; and demonstrate that Tyche adds value for the user across a range of multimedia and interactive workloads.
Optimal control of a computer virus model with network attacks

This paper addresses the issue of how to promote the spread of computer virus, which is regarded as an intelligence weapon, by means of the optimal control method. First, a state-delay computer virus spread model is established. Second, an objective functional for optimizing the control cost and effect is described. Third, an algorithm for computing the gradient of the optimal control problem is developed. Finally, several numerical examples is shown.
Recognizing Physical Activities using Wearable Devices

Physical activity is a major part of the user’s context for wearable computing applications. The System should be able to acquire the user’s physical activities using body worn sensors. The authors propose developing a personal activity recognition system that is practical, reliable, and can be used for healthcare related applications. They propose to use the wearable device which is a readymade, light weight, small and easy to use device for identifying physical activities (i.e. lying, sitting, walking, standing, cycling, running, ascending stairs and descending stairs), fitness studio activities (i.e. using elliptical trainer, butterfly, bench-press and pull down) and swimming techniques (i.e., dolphin, back-stroke, breast-stroke and free-style) using machine learning algorithms. In this chapter, the authors present an approach to build a system that exhibits this property and provides evidence based on user studies. Their results indicate that the system has a good accuracy rate.
Factors Affecting Research and Development - Results of a Survey in Swiss Industry

Das vorliegende Arbeitspapler fasst die Ergebnisse einer im Sommer 1988 durchgefuhrten schriftlichen Expertenbefragung zu den Bestimmunsfaktoren von Forschung und Entwicklung in der Schweizer Industrie zusammen. Von den 940 beragten Untemehmungen haben 358 Oder ca. 40% geantwortet; sie waren in 127 verschiedenen Wirtschaftsarten tatig. Inhaltlich befasst sich die Befragung mit den zwei folgenden Determinanten von F&E: 1) Aneignung und Sicherung der Ergebnisse von F&E (Appropriabillty conditions) und 2) Technologische Chancen(Technological opporlunities). Die Ergebnisse der Betragung sind u.a. fur die Patent- und Forschungspolitik sowohl von Unternehmungen als auch des Staates relevant.
Validation Analysis of the WAAS GIVE and UIVE Algorithms

As a part of its “slow” error corrections, the Federal Aviation Administration‘s Wide-Area Augmentation System (WAAS) provides ionospheric vertical delays at geographically futed Ionospheric Grid Points (IGPs). In addition to these vertical delays, WAAS‘s message type 26 contains Grid Ionospheric Vertical Errors (GIVES) I% the IGPs. GIVE values are required to bound the actual error with 99.9% confidence. Using the GIVE values a user can compute the User Ionospheric Vertical Errors (UIVEs) at each of his ionospheric pierce point locations. The UIVE scaled by an obliquity factor (F) is required to
A IMPLANTAÇÃO DO PROGRAMA DE PLANTAS MEDICINAIS E FITOTERÁPICOS NO SISTEMA PÚBLICO DE SAÚDE NO BRASIL: UMA REVISÃO DE LITERATURA

O Brasil possui a maior cobertura vegetal do planeta, seis ricos biomas, com mais de 120 mil especies de plantas, e pela sua diversidade etnica, cultural e socioeconomica, tornou-se um pais com forte tradicao no uso de plantas medicinais e medicamentos fitoterapicos. Baseado na “Politica Nacional de Praticas Integrativas no Sistema Unico de Saude que inclui a fitoterapia no SUS” esse artigo tem como objetivos realizar uma pesquisa nas principais bases de dados em busca da aplicabilidade dos medicamentos fitoterapicos e plantas medicinais nos sistemas publicos de saude no Brasil. Varios Estados do Brasil ja implantaram os medicamentos fitoterapicos nos sistemas publicos de saude, porem, a falta de incentivo por parte dos governos municipais, levou a desativacao de alguns projetos. Parte desta questao e associada a politica de saude que se adota neste pais que, de forma geral, nao prioriza o tratamento a partir de plantas medicinais e medicamentos fitoterapicos.
Cloud Scalability Measurement and Testing

Cloud computing introduces a new paradigm for software deployment, hosting, and service renting. Based on the XaaS architecture, a large number of users may share computing resources, platform services, and application software in a multi-tenancy approach. To ensure service availability, the system needs to support an advanced level of massive scalability so that it can provide necessary resources on demand following the pay-per-use pricing model. This chapter analyzes the unique requirements of cloud performance and scalability, compared with traditional distributed systems. Measurements are proposed with performance indicators, meters, and metrics identified from different perspectives. To support scalability testing in a dynamic environment, an agent-based testing framework is proposed to facilitate adaptive load generation and simulation using a two-layer control architecture. DOI: 10.4018/978-1-4666-2536-5.ch017
El desarrollo emocional de los niños y niñas en situación de vulnerabilidad social visto desde las concepciones y prácticas pedagógicas de los maestros de la I.E. La Cabaña, del Municipio de Timbío, Cauca

El presente documento recoge algunas apreciaciones sobre la forma como los maestros de la I.E. La Cabana, del municipio de Timbio, departamento del Cauca, perciben la vulnerabilidad social en que se encuentra la poblacion estudiantil. Esta vulnerabilidad social se refiere al hecho de que la gran mayoria de estudiantes viven situaciones de pobreza que, como lo expresa Castel (1991), inciden para que se desenlacen una serie de comportamientos sintomaticos tales como los problemas de conducta y del desarrollo del aprendizaje, la inadaptacion escolar y social, la timidez, la inseguridad, la rebeldia, el no reconocimiento y la no observancia de normas (desobediencia), el uso de palabras de inapropiadas, el interes por temas asociados con el consumo de sustancias psicoactivas y alcohol a temprana edad, entre los principales.
Automated Generation of Test Cases and Sequences Based on Path Optimization Algorithm

Along with rapid development of the China train operation and control system,validity and safety of behavioral functions of the system have attracted much attention in the railway industry.In this paper an automated method to generate a complete set of test cases and test sequences was put forward.Definitions relating to the CPN model and test sequences of the system were given.The all paths covered optimization algorithm(APCO) and the sequence priority selected algorithm(SPS) were presented to automatically generate the XML test sequences.Taking radio blocking center(RBC) handover of the Chinese Train Control System Level 3(CTCS-3)as an example,test cases and test sequences were generated automatically and verified on the RBC test platform.The results indicate that the test generation achieves the goal of automation,and the repeatability rate of the test sequences generated in the scenario of RBC handover is reduced by 75% compared with the available depth-first search algorithm(DFS),thus covering all the related criterions specified in the CTCS-3 Function Requirements Specifications(FRS).
Self-Fitting Hearing Aids: State of the Art, Challenges, and Future Trends

The global aging leads to a dramatic increase in the demand for hearing aid. However, the lack of hearing care institutions and hearing professionals makes high price of hearing aids, which hinders the widespread use of hearing aids, especially in the developing countries and the remote areas of developed countries. Compared to the teleaudiology, the self-fitting hearing aid can be installed, fitted, and managed by the users themselves. The whole process hardly needs any professionals and special equipments. Although the research of self-fitting hearing aids is in its infancy, it has significant theoretical value and application prospect. At present, except for some commercial attempts to the self-fitting hearing aids, there are still some problems to be imminently solved. In this survey paper, an overview of the state of the art and prototype design for the self-fitting hearing aid is provided. Then, the challenges for self-fitting hearing aids are discussed. Finally, the future trends of self-fitting hearing aids are prospected.
Applying computational fluid dynamics to speech : with a focus on the speech sounds 'pa' and 'sh'

Computational Fluid Dynamics (CFD) are used to investigate two speech phenomena. The first phenomenon is the English bilabial plosive /pa/. Simulations are compared with microphone recordings and high speed video recordings to study the penetration rate and strength of the jet associated with the plosive /pa/. It is found that the dynamics in the first 10ms of the plosive are critical to penetration rate, and the static simulation was not able to capture this effect. However, the simulation is able to replicate the penetration rate after the initial 10ms. The second speech phenomenon is the English fricative /sh/. Here, the goal is to simulate the sound created during /sh/ to understand the flow mechanisms involved with the creation of this sound and to investigate the simulation design required to predict the sound adequately. A variety of simulation methods are tested, and the results are compared with previously published experimental results. It is found that all ReynoldsAveraged Navier-Stokes (RANS) simulations give bad results, and 2D Large Eddy Simulations (LES) also have poor results. The 3D LES simulations show the most promise, but still do not produce a closely matching spectra. It is found that the acoustic analogy matches the direct measurements fairly well in 3D simulations. The studies of /pa/ and /sh/ are compared and contrasted with each other. From the findings of the studies, and using theoretical considerations, arguments are made concerning which CFD methods are appropriate for speech research. The two studies are also considered for their direct applications to the field and future research directions which might be followed.
Ultra Wide-Band Channel Estimation and Signal Detection Through Compressed Sensing

A novel algorithm(CS algorithm) for channel estimation and signal detection is proposed to resolve the problem of excessively high sampling rate of the ultra-wideband signals.The algorithm is based on the compressed sensing(CS) theory.The modulated signal is transmitted after random-filtering,and the received signal is sub-sampled.The mathematical model of CS is developed by cyclic convolution of the modulated signals,the random filter and the channel,so the basic pursuit algorithm can be utilized to perform the task of channel estimation and signal detection.Simulation results show that the number of the sampling data required by the proposed algorithm is only one-third or less of the number of the sampling data needed by the least squares algorithm,while the estimation performance is improved by 4.5 dB under the moderate signal-to-noise ratio(15~25 dB) condition,and that the original transmitted signals are correctly detected.
Deployment Strategies for Wireless Sensor Networks

Applications of wireless sensor networks (WSNs) exist in many scenarios such as battlefield surveillance, reconnaissance of opposing forces and terrain, forest fire detection, drug administration in hospitals, and so on (Akyildiz, Su, Sankarasubramaniam, & Cayirci 2002). We can generally classify those applications into target tracking and area monitoring. In the target tracking scenarios, we concern if we can trace the moving object accurately. The number of sensors and the position of sensors affect the performance of tracking. In the area monitoring scenarios, we need to have enough sensors to avoid blind angle. It seems that a denser infrastructure cause a more effective WSNs. However, if not deployed well, a denser network will lead to a larger number of packet collisions and traffic congestions. The cost of larger sensors is another reason to devise good deploying strategy. Some factors to explain the importance of deployment strategy in WSNs are discussed below: ABSTRACT
Java Programmer's Reference

From the Publisher: Java is a platform-netural, Object-Oriented programming language which provides a large number of predefined library classes which greatly simplify common programming tasks. This book is a quick reference to the parts of the language and libraries you'll need 90% of time time - the language has grown so large it is not possible to cover the entire class library in one book. Instead, this book covers the commonly-used packages: the Java language, utility, I/O, and network programming classes, together which those for GUI development using the Abstract Windowing Toolkit and Swing, applets, event handling, and Java Beans. In each chapter the important classes and methods within the package are presented, along with clear, concise examples that demonstrate how to use them. The growth and development of the Java Language means that alongside a tutorial (Beginning Java 2 - ISBN:1861002238) each properly equipped programmer should be in posession of a complete reference. Java Programmer's Reference allows programmers and developers to access the essential elements of the Java language in a quick and efficient manner. All of the major packages are covered, the core packages, IO, AWT, Swing, Network programming, and Java Beans.
uPC player : An OS Virtualization-based Technique to Support Stateless Computing Execution Environment on Windows

Stateless computing supports a mobility of computing environment easily. It is becoming a major technology for securing personal user's information on shared computing environment. With the advance of virtualization technology and cloud computing, stateless computing is an essential part of personal computing environment connectivity (user's setting and data is stored in remote server or some storage, and it can be restored at any computing environment) In this paper, we propose uPC player that supports stateless computing execution environment on Windows. uPC player provides Windows operating system to user by using an uPC OS virtualization module. In this paper, we leverage how uPC player is designed and implemented for supporting a stateless computing execution environment. uPC player provides a desktop switch between host-system execution environment and uPC virtual execution environment. And it needs just one second for loading uPC virtual execution environment by using OS virtualization-based technique.
A Survey of Class-Imbalanced Data Classification

In this paper,we provide an up-to-date survey of the class-imbalanced classification problems.After simply explaining the concepts of this domain,we take a deep look into the problems of class-imbalance,and then introduce various kinds of solutions to this problem in detail.The following part analyses the main classifier algorithms' advantages and disadvantages.Finally,we point out the future trends of this domain.
Model on the logic working procedure of relay schemes based on timed Petri net

The Petri net is efficient to model DEDS(discrete event dynamic systems)due to its full-developed theories.This paper proposes a method of timed Petri nets for relay schemes modeling.A relay scheme is one of the discrete event dynamic systems.Using the parallel,impacting,resource-sharing characteristics of Petri net,the logic working procedures with secondary loop dynamics are described.The working principle and performance of RCS-901A/B are comprehensively studied and evaluated with the proposed method to demonstrate its effectiveness.
Continuous basis pursuit and its applications

Transformation-invariance is a major source of nonlinear structure in many real signal ensembles. To model this structure, we develop a methodology for decomposing a signal into a sparse linear combination of continuously transformed features. The central idea is to approximate the manifold(s) of transformed features(s) by linearly combining interpolation functions using constrained coefficients that can be recovered via convex programming. The advantage of this approach over traditional sparse coding methods is threefold: (1) it is built upon a more accurate probabilistic source model for transformation-invariant ensembles, (2) it uses a more efficient dictionary, and (3) both structural and transformational information can be extracted separately from the representation via well-defined mappings, providing transformation-invariant and -equivariant information, respectively. The method can be used with any linear interpolator, and includes basis pursuit denoising as a special case corresponding to nearest-neighbor interpolation. We propose a novel polar interpolation method with which our method significantly outperforms basis pursuit on a sparse deconvolution task. In addition, our method outperforms the state-of-the-art in identifying neural action potentials from voltage recordings on multiple simulated and real data sets. The advantage of our method is primarily due to its superior handling of near-synchronous action potentials, which overlap in the trace and are not recoverable by standard spike sorting methods. Finally, we develop a hierarchical formulation in which successive layers encode more complex features and their associated transformation parameters. A two-layer time- and frequency-shiftable representation is learned from speech data. The second layer encoding compactly represents sounds in terms of acoustic features such as harmonic stacks, sweeps, and ramps in time-frequency space. Despite its compactness, synthesis reveals that it is a faithful representation of the original sound and yields significant improvement over wavelet thresholding techniques on an acoustic denoising task. These two applications demonstrate the advantage of representations which separate content and transformation, and our proposed methodology provides an effective tool for computing such a representation.
Principles Of Growth And Processing Of Semiconductors

principles of growth and processing of semiconductors is available in our book collection an online access to it is set as public so you can download it instantly. Our digital library hosts in multiple locations, allowing you to get the most less latency time to download any of our books like this one. Merely said, the principles of growth and processing of semiconductors is universally compatible with any devices to read.