Miracle-dz/UniFAR-FTUs huggingface dataset:
PCA-Based Network Traffic Anomaly Detection

The use of a Traffic Matrix (TM) to describe the characteristics of a global network has attracted significant interest in network performance research. Due to the high dimensionality and sparsity of network traffic, Principal Component Analysis (PCA) has been successfully applied to TM analysis. PCA is one of the most common methods used in analysis of high-dimensional objects. This paper shows how to apply PCA to TM analysis and anomaly detection. The experiment results demonstrate that the PCA-based method can detect anomalies for both single and multiple nodes with high accuracy and efficiency.
Malaysian Medicinal Plant Leaf Shape Identification and Classification

ABSTRACT Malaysian medicinal plants may be abundant natural resources but there has not been much research done on preserving the knowledge of these medicinal plants which enables general public to know the leaf using computing capability. This study proposes a framework to identify and classify tropical medicinal plants in Malaysia based the extracted patterns from the leaf. The extracted patterns from medicinal plant leaf are obtained based on several angle features. Five classifiers, obtained from WEKA and an ensemble classifier, called Direct Ensemble Classifier for Imbalanced Multiclass Learning (DECIML), are used to compare their performance accuracies over this data. In this experiment, five species of Malaysian medicinal plants are identified and classified in which each species will be represented by using 65 images. This study is important in order to assist local community to utilize the knowledge discovery and application of Malaysian medicinal plants for future generation. In this paper, a preliminary study is conducted to
Combining Quality and Expediency with Action Research in ELearning Instructional Design

Recent research has posited that there may be a relationship between an organization’s level of capability in electronic delivery of training and the barriers set up to detain it. One of the biggest obstacles is the entrenched culture of the organization itself. So often the challenges to the implementation of an innovation, such as electronic instruction, come from the establishment committed to its adoption. Embedded action research in electronic instructional design can provide observation of the innovation’s implementation and what was successful or not, but can also provide crucial feedback on the culture and atmosphere of the organization and participants in the innovation. The Journal of Educators Online, Volume 5, Number 2, July 2008
Vision-based Pedestrian Protection Systems for Intelligent Vehicles

Pedestrian Protection Systems (PPSs) are on-board systems aimed at detecting and tracking people in the surroundings of a vehicle in order to avoid potentially dangerous situations. These systems, together with other Advanced Driver Assistance Systems (ADAS) such as lane departure warning or adaptive cruise control, are one of the most promising ways to improve traffic safety. By the use of computer vision, cameras working either in the visible or infra-red spectra have been demonstrated as a reliable sensor to perform this task. Nevertheless, the variability of humans appearance, not only in terms of clothing and sizes but also as a result of their dynamic shape, makes pedestrians one of the most complex classes even for computer vision. Moreover, the unstructured changing and unpredictable environment in which such on-board systems must work makes detection a difficult task to be carried out with the demanded robustness. In this brief, the state of the art in PPSs is introduced through the review of the most relevant papers of the last decade. A common computational architecture is presented as a framework to organize each method according to its main contribution. More than 300 papers are referenced, most of them addressing pedestrian detection and others corresponding to the descriptors (features), pedestrian models, and learning machines used. In addition, an overview of topics such as real-time aspects, systems benchmarking and future challenges of this research area are presented.
Multivariate Data Analysis With Readings

Thank you very much for reading multivariate data analysis with readings. As you may know, people have look hundreds times for their favorite books like this multivariate data analysis with readings, but end up in malicious downloads. Rather than reading a good book with a cup of coffee in the afternoon, instead they are facing with some infectious virus inside their desktop computer. multivariate data analysis with readings is available in our book collection an online access to it is set as public so you can download it instantly. Our books collection saves in multiple countries, allowing you to get the most less latency time to download any of our books like this one. Kindly say, the multivariate data analysis with readings is universally compatible with any devices to read.
e-topia: Urban Life, Jim - But Not as We Know It

From the Publisher: The global digital network is not just a delivery system for email, Web pages, and digital television. It is a whole new form of urban infrastructure - one that will change the forms of our cities as dramatically as railroads, highways, electric power supply, and telephone networks did in the past. In this book, William J. Mitchell examines this new infrastructure and its implications for our future daily lives.
Resonances in open quantum systems

The Hamilton operator of an open quantum system is non-Hermitian. Its eigenvalues are, generally, complex and provide not only the energies but also the lifetimes of the states of the system. The states may couple via the common environment of scattering wavefunctions into which the system is embedded. This causes an {\it external mixing} (EM) of the states. Mathematically, EM is related to the existence of singular (the so-called exceptional) points (EPs). The eigenfunctions of a non-Hermitian operator are biorthogonal, in contrast to the orthogonal eigenfunctions of a Hermitian operator. A quantitative measure for the ratio between biorthogonality and orthogonality is the phase rigidity of the wavefunctions. At and near an EP, the phase rigidity takes its minimum value. The lifetimes of two nearby eigenstates of a quantum system bifurcate under the influence of an EP. At the parameter value of maximum width bifurcation, the phase rigidity approaches the value one, meaning that the two eigenfunctions become orthogonal. However, the eigenfunctions are externally mixed at this parameter value. The S-matrix and therewith the cross section do contain, in the one-channel case, almost no information on the EM of the states. The situation is completely different in the case with two (or more) channels where the resonance structure is strongly influenced by the EM of the states and interesting features of non-Hermitian quantum physics are revealed. We provide numerical results for two and three nearby eigenstates of a non-Hermitian Hamilton operator which are embedded in one common continuum and influenced by two adjoining EPs. The results are discussed. They are of interest for an experimental test of the non-Hermitian quantum physics as well as for applications.
Continuous Real-time Monitoring of Patient’s Vital Signs Based on ZigBee Standard

This paper gives an understanding of what possibilities Wireless Body Area Network (WBAN) have when using shortrange wireless communications protocols. There advantages are used to facilitate versatility in the movements of health care patients. The paper investigates the feasibility of using the ZigBee protocol, givean analysis of methods for collection of received data from multi sensor environment, and mechanisms for privacy and data protection by using encryption techniques. This characteristics are applied on previously developed collaborative healthcare system model (COHESY). COHESY is aimed at continuous real time remote patients’ health monitoring.
The grammaticalization of headshakes: From head movement to negative head

All sign languages investigated to date make use of a side-to-side headshake in the context of negation. This headshake, however, is qualitatively different from the co-speech gesture used by speakers in similar contexts. Following a discussion of the origin and use of gestural headshakes, we show that across sign languages, the distribution of headshakes - in particular, their scope and co-occurrence with manual negative elements - is subject to language-specific constraints, which are clearly linguistic in nature. We thus argue that the headshake, as used in sign languages, is a linguistic element which has grammaticalized from a gestural input. We further discuss different types of sign language negation systems from a typological perspective, and we provide some speculations on their evolution in terms of Jespersen’s Cycle.
Farm Level Analysis of Risk and Risk Management Strategies and Policies: Technical Note

This Working Paper serves as a technical background note for the Farm-level analysis of risk, risk management strategies and policies (OECD Food, Agriculture and Fisheries Working Papers No.26). It describes: 1) the data source and analytical methods employed to measure risk exposure at the farm level; 2) the stochastic simulation model to analyze farm behaviour and policy performance under risk; and 3) cluster analysis as a way of selecting representative farms for model calibration.
Modeling and Control of Vibration in Mechanical Systems

Many chapters have introductions, conclusions, and references Symbols and Acronyms 1 Mechanical Systems and Vibration Magnetic recording system Stewart platform Vibration sources and descriptions Types of vibration Random vibration Vibration analysis 2 Modeling of Disk Drive System and Its Vibration Introduction System description System modeling Vibration modeling Modeling of Stewart Platform System description and governing equations Modeling using adaptive filtering approach Classical Vibration Control Passive control Self-adapting systems Active vibration control Introduction to Optimal and Robust Control H2 and H norms H2 optimal control H control Robust control Controller parametrization Performance limitation Mixed H2/H Control Design for Vibration Rejection Mixed H2/H control problem Method 1: slack variable approach Method 2: an improved slack variable approach Application in servo loop design for hard disk drives Low-Hump Sensitivity Control Design for Hard Disk Drive Systems Problem statement Design in continuous-time domain Design in discrete-time domain Generalized KYP Lemma-Based Loop Shaping Control Design Problem description Generalized KYP lemma-based control design method Peak filter Application in high frequency vibration rejection Application in mid-frequency vibration rejection Combined H2 and KYP Lemma-Based Control Design Problem formulation Controller design for specific disturbance rejection and overall error minimization Simulation and implementation results Blending Control forMulti-Frequency Disturbance Rejection Control blending Control blending application in multi-frequency disturbance rejection Simulation and experimental results H -Based Design for Disturbance Observer Conventional disturbance observer A general form of disturbance observer Application results Two-DimensionalH2 Control for Error Minimization 2-D stabilization control 2-D H2 control SSTW process and modeling Feedforward compensation method 2-D control formulation for SSTW 2-D stabilization control for error propagation containment 2-D H2 control for error minimization Nonlinearity Compensation and Nonlinear Control Nonlinearity compensation Nonlinear control Quantization Effect on Vibration Rejection and Its Compensation Description of control system with quantizer Quantization effect on error rejection Compensation of quantization effect on error rejectioAdaptive Filtering Algorithms for Active Vibration Control Adaptive feedforward algorithm Adaptive feedback algorithm Comparison between feedforward and feedback controls Application in Stewart platform
Understanding the Nintendo Wii and Microsoft Kinect consoles in long-term care facilities

In recent years video game consoles, such as the Nintendo Wii TM and the Microsoft Kinect TM , have been introduced into residential facilities. This paper presents a review of current studies documenting the benefits and detriments the Wii could have on adults aged 60 years and over in residential facilities, concentrating on the common uses of the Wii in care facilities: maintaining physical fitness, promoting mental well-being, encouraging social interaction and both physical and mental rehabil- itation. Furthermore, this paper discusses the potential use of the Microsoft Kinect in care for older persons. The Wii can have a positive impact on the physical and mental health of older adults living in care facilities, but additional work should still be conducted, including assessing the use of games outside of Wii Sports and Wii Fit and possible non-gaming application of the Wii in care for older adults. Results for the Wii display potential for use of the Kinect in care facilities but further exploration is required to assess the potential physical impact and interaction viability.
Renewable Electricity Futures Study. Volume 4: Bulk Electric Power Systems: Operations and Transmission Planning

The Renewable Electricity Futures (RE Futures) Study investigated the challenges and impacts of achieving very high renewable electricity generation levels in the contiguous United States by 2050. The analysis focused on the sufficiency of the geographically diverse U.S. renewable resources to meet electricity demand over future decades, the hourly operational characteristics of the U.S. grid with high levels of variable wind and solar generation, and the potential implications of deploying high levels of renewables in the future. RE Futures focused on technical aspects of high penetration of renewable electricity; it did not focus on how to achieve such a future through policy or other measures. Given the inherent uncertainties involved with analyzing alternative long-term energy futures as well as the multiple pathways that might be taken to achieve higher levels of renewable electricity supply, RE Futures explored a range of scenarios to investigate and compare the impacts of renewable electricity penetration levels (30%–90%), future technology performance improvements, potential constraints to renewable electricity development, and future electricity demand growth assumptions. RE Futures was led by the National Renewable Energy Laboratory (NREL) and the Massachusetts Institute of Technology (MIT). Learn more at the RE Futures website. http://www.nrel. gov/analysis/re_futures/
Particle Swarm Optimization: Fundamental Study and its Application to Optimization and to Jetty Scheduling Problems

The advantages of evolutionary algorithms with respect to traditional methods have been greatly discussed in the literature. While particle swarm optimizers share such advantages, they outperform evolutionary algorithms in that they require lower computational cost and easier implementation, involving no operator design and few coefficients to be tuned. However, even marginal variations in the settings of these coefficients greatly influence the dynamics of the swarm. Since this paper does not intend to study their tuning, general-purpose settings are taken from previous studies, and virtually the same algorithm is used to optimize a variety of notably different problems. Thus, following a review of the paradigm, the algorithm is tested on a set of benchmark functions and engineering problems taken from the literature. Later, complementary lines of code are incorporated to adapt the method to combinatorial optimization as it occurs in scheduling problems, and a real case is solved using the same optimizer with the same settings. The aim is to show the flexibility and robustness of the approach, which can handle a wide variety of problems.
Performance Evaluation of a Prototype Noninterference Technique for Measurement of Turbine Engine Compressor Blade Stress

Abstract : A noninterference technique for measuring stress in compressor blades of turbine engines is being developed to alleviate disadvantages associated with conventional strain-gage measurement systems. The noninterference technique uses blade-tip deflection measurements and special data-processing algorithms to infer local blade stress. A prototype of the noninterference technique equipped with a nonintegral blade vibration data-processing algorithm has been experimentally validated.
Design, Implementation and Evaluation of Unified Communications on-premises and over the Cloud

Unified Communication (UC) is the integration of two or more real time communication systems into one platform. Integrating core communication systems into one overall enterprise level system delivers more than just cost saving. These real-time interactive communication services and applications over Internet Protocol (IP) have become critical in boosting employee accessibility and efficiency, improving customer support and fostering business agility. However, some small and medium-sized businesses (SMBs) are far from implementing this solution due to the high cost of initial deployment and ongoing support. Cloud based UC solution, UC as a Service (UCaaS), is now itself a maturing technology in the marketplace and it has revolutionized the IT industry, being the powerful platform that many businesses are choosing to migrate their on-premises UC solution onto. UCaaS solution has the potential to reduce the capital and operational expenses associated with deploying UC on their own. In this paper, we will discuss and demonstrate an open source on-premises UC solution, viz. “Asterisk” for use by businesses, and report on some performance tests using SIPp. This paper also discusses and demonstrates an open source UCaaS solution. The contribution from this research is the provision of technical advice to businesses in deploying UC and UCaaS, which is manageable in terms of cost, ease of deployment and support.
STRENGTH AND CONDITIONING PRACTICES OF IRAN Wrestling League STRENGTH AND CONDITIONING COACHES

Цель : анализ результатов опроса участников соревнований по борьбе - тренеров по физической подготовке ( IWL S&C). Материал : Доля ответивших составила 88,5% (100 из 113 респондентов). Содержание опроса включают в себя: справочную информацию, физические тесты, развитие гибкости, развитие скорости, плиометрики, развитие силы/мощности, уникальные аспекты, комментарии тренеров, обеспечивающих дополнительную информацию. Результаты: Результаты показывают, в частности, что тренеры оценивают в среднем 7,3 параметров подготовки, из которых наиболее распространенным является тестирование скорости. Все тренеры использовали различные стратегии развития гибкости. Результаты показывают, что все IWL S&C тренеров следовать модели периодизации. Важное значение в оценке своих спортсменов в качестве первого приоритета отмечается скорость (100%) и мышечная выносливость, а сила и мощность - как второй компонент (97%). 66% тренеров указали, что их спортсмены использовали олимпийский стиль поединков. Все тренеры использовали для спортсменов плиометрические упражнения. 92% тренеров сообщили, что используют плиометрические тренинги для увеличения скорости своих борцов и 82% тренеров используют плиометрический прыжок на месте в качестве регулярной практики в своих тренировках. Выводы : Присед и его вариации, а также подъемы олимпийского стиля и их вариации, были самыми часто используемыми упражнениями. Опрос выступает в качестве рекомендаций и источника прикладной информации и новых идей.
Evaluation of Performance of Predictive Models for Deoxynivalenol in Wheat

The aim of this study was to evaluate the performance of two predictive models for deoxynivalenol contamination of wheat at harvest in the Netherlands, including the use of weather forecast data and external model validation. Data were collected in a different year and from different wheat fields than data used for model development. The two models were run for six preset scenarios, varying in the period for which weather forecast data were used, from zero‐day (historical data only) to a 13‐day period around wheat flowering. Model predictions using forecast weather data were compared to those using historical data. Furthermore, model predictions using historical weather data were evaluated against observed deoxynivalenol contamination of the wheat fields.
Model Driven Therapy

Summary Objectives: Taking into account a priori knowledge is a key issue to meet the medical, scientific and industrial challenges of the progresses of Minimally Invasive Surgery. We propose an overview of these challenges. Methods: Models play a major role in representing the relevant knowledge to plan and realize complex medical and surgical interventions. We analyze the three basic steps of Perception, Decision and Action, and illustrate by some instances how models may be integrated in these steps. Results: We propose a selection of the results obtained in Model Driven Therapy. These results illustrate the issues of Perception (models allow accurate reconstruction of 3D objects from a limited set of X-ray projections), Decision (models allow to take into account elastic and dynamic characteristics of muscles), and Action (models allow to design innovative navigational and robotics aids to the realization of complex interventions). Likewise, models play a major role in the process of surgeon’s education, which leads to the concept of Virtual Orthopedic University. Conclusions: Model Driven Therapy emerges as the way to perform optimal medical and surgical interventions, providing physicians and surgeons with the possibility to augment their capacities of sensing multi-modal information, of combining them to define optimal strategies, and of performing accurate and safe actions.
Quadratic Performance Indices and Optimum Suspension Design

This paper presents some results obtained from the computer simulation of a two-dimensional linear vehicle model with coupled bounce and pitch modes. The effects of variations in the ratio of front to rear spring stiffnesses and the inertia coupling ratio on various performance indices for ride quality and road holding were investigated. Two forms of input to the system were considered, (a) isolated smooth bumps of varying length and (b) continuous random type excitations. Allowance was made for the time delay between the inputs at the front and rear wheels due to the forward speed of the vehicle.
Low-Cost Platforms Used in Control Education: An Educational Case Study

Abstract Educational methodologies are continuously improving in Control courses by using high functioning and low-cost platforms. This paper presents a brief description of the most widely used platforms and how they are selected for inclusion in university subjects, specifically in Control Engineering Education. In our experience, such a selection has to be made based on two criteria: The particular concern of the teacher to include more didactic contents in courses and subjects, and the continuously growing experience of students in relation to every low-cost platform. We hereby present a case study of the LEGO(R) MINDSTORM(R) NXT and Arduino platform.