Miracle-dz/UniFAR-FTUs huggingface dataset:
Left and Right Hand Movements EEG Signals Classification Using Wavelet Transform and Probabilistic Neural Network

Electroencephalogram (EEG) signals have great importance in the area of brain-computer interface (BCI) which has diverse applications ranging from medicine to entertainment. BCI acquires brain signals, extracts informative features and generates control signals from the knowledge of these features for functioning of external devices. The objective of this work is twofold. Firstly, to extract suitable features related to hand movements and secondly, to discriminate the left and right hand movements signals finding effective classifier. This work is a continuation of our previous study where beta band was found compatible for hand movement analysis. The discrete wavelet transform (DWT) has been used to separate beta band of the EEG signal in order to extract features. The performance of a probabilistic neural network (PNN) is investigated to find better classifier of left and right hand movements EEG signals and compared with classical back propagation based neural network. The obtained results shows that PNN (99.1%) has better classification rate than the BP (88.9%). The results of this study are expected to be helpful in brain computer interfacing for hand movements related bio-rehabilitation applications.
Minimal mobile human computer interaction

In the last 20 years, the widespread adoption of personal, mobile computing devices in everyday life, has allowed entry into a new technological era in Human Computer Interaction (HCI). The constant change of the physical and social context in a user's situation made possible by the portability of mobile devices means that the user's attention becomes limited. This can negatively impact the user experience. To deal with this problem, this thesis draws from two developments in HCI, context-awareness and 3D gestural input. From these developments, we introduce the concept of minimal mobile HCI, a subset of eyes-free mobile interaction that allows minimal combination of the visual modality with other sensory modalities to improve the user experience of interacting with smartphones. In the first part, we look closely at the design and evaluation of location-aware multimedia messaging systems, and how they can lead to playfulness in a minimal interaction setting. We then look at how urban interactions are connected across locations by designing and evaluating an exploration-based route planner that makes use of large amounts of geotagged data. In the second part, we look closely at the usability and user experience issues associated with 3D mobile gestural interaction when recognition errors occur. Upon showing that this form of interaction is usable in the face of errors, we then investigate two example applications. We revisit how this kind of 3D gestural interaction can be applied in a playful setting by looking at gesture-based music composition and gaming. Finally, we look at how minimal mobile interaction can be used to support mobile user authentication using 3D gestural input. Together, our user studies show that interaction designers need not abandon screen-based interaction, nor stop designing for users' visual modality, only complementing it with context-awareness or 3D gestural input solutions. This can expand the design space for designing and developing mobile systems/applications that keep user interaction costs at a minimum.
The Tipping Point

* Please Note: This political book summary does not offer judgment or opinion on the book’s contents. The ideas, viewpoints and arguments are presented just as the book’s author had intended. General Overview: When scientists study epidemics, they refer to a “tipping point” as being the moment at which a virus reaches critical mass and then exhibits sudden and dramatic growth almost overnight. New ideas in politics and society at large exhibit the same behavior. Ideas can start at the fringes and struggle to rise above the background noise for quite some time but once they reach their own tipping points, they will suddenly enjoy exponential growth and migrate into wide-scale popularity.
Crowds for interactive virtual environments

Crowds are part of our everyday experience; nevertheless, in virtual worlds they are still relatively rare. In this thesis we explore the challenges of bringing crowds into interactive virtual environments and the possible applications of real-time interactive crowds, for example, in the domains of virtual heritage and training systems. We address several topics including real-time generation of higher-level behaviors, lower-level motion control for many characters, management of variety, integration of crowds into virtual environments, interaction with virtual crowds and authoring of scenarios. In comparison with the other crowd modeling approaches, we focus on more complex behaviors of many agents in dynamic environments with possible user interaction. In our system a crowd is modeled as a collection of individuals which react to the environment, to other agents and to real human participants of the simulation and can have very different behaviors, both for one agent in different situations, and for many agents in the same situation. We emphasize the importance of variety as one of the most distinguishing features of the crowd simulations; we introduce the notion of levels-of-variety. We address as well the question of how to author crowd scenes in an efficient way. We introduce a novel approach to create complex scenes involving thousands of animated individuals in a simple and intuitive way. By employing a brush metaphor, analogous to the tools used in image manipulation programs, we can distribute, modify and control crowd members in real-time with immediate visual feedback. We demonstrate the validity of our behavior simulation approach with several case studies, where we use our crowd system to manage crowd behaviour in a virtual reality training system and virtual heritage reconstruction. The potential of our authoring approach is shown by authoring a scenario of a virtual audience in a theater and a scenario of a pedestrian crowd in a city.
Research and Design of Teaching Evaluation System Based on Fuzzy Model

Teaching quality evaluation is an effective method to test teaching. Teaching quality evaluation is a typical uncertainty problem. With my school's teaching evaluation indexes, this paper proposes the design scheme of teaching evaluation system based on fuzzy model, in accordance with experts knowledge and experience. The system could make an accurate and efficient evaluation for teaching quality and provide a significant reference value.
The fabrication of scalable multi-sensor arrays using standard CMOS technology [chemical sensors]

This paper describes an approach for fabricating MOSFET-based scalable multi-sensor arrays in an unmodified standard CMOS process. The circuit design uses novel multiplexing to make a differential potentiometric measurement in each cell of the array. All signal processing is performed in-situ and all readout circuitry is located onchip. Various chemical sensors can be formed with minimal post-processing using standard photolithographic techniques. An implementation of a single-chip 2/spl times/2 array is presented along with initial results and discussion of the device characteristics.
Low Voltage Ride-through Capability Enhancement of Doubly Fed Induction Generator Based Wind Turbines under Voltage Dips

Based on the advantages of doubly fed induction generator (DFIG)-based wind turbine (WT). This paper proposes a new control strategy to improve the ride-through capability of DFIG-based WTs in the event of a grid fault. The proposed method is performed by using the DFIG converters control and the addition of the damping resistances connected to the DC circuit, to follow the requirements defined by the grid codes. The proposed ride-through solution limits the peak values of the DC link voltage, the rotor inrush current, electromagnetic torque and DFIG transient response at the times of occurrence and clearing the fault. The proposed solution is simulated and compared with the crowbar solution using MATLAB/Simulink environment. Full Text: PDF DOI: http://dx.doi. org/10.11591/ijpeds.v6. i4.pp808-818
Quantitative Investment Analysis, Second Edition

This globally relevant guide will help you understand quantitative methods and apply them to today's investment process. Topics include regression, time series, and multifactor models, and introduce a variety of relevant, investment-oriented examples. The book emphasizes the even treatment of subject matter, consistency of mathematical notation, and continuity of topic coverage that is so critical to the learning process. To enhance your understanding of the tools and techniques presented here, two tools are available: Quantitative Investment Analysis, Second Edition Workbook — a comprehensive study guide that contains challenging problems and solutions related to the concepts developed here in Quantitative Investment Analysis, and the Instant Lecture Kit — a complementary teaching and programming resource consisting of a set of annotated PowerPoint slides designed to accompany each chapter of the readings, providing high quality educational content and simplifying complex ideas with clear, real-world exa.
Hypervideo on the Web: Models and Techniques for Video Integration

Abstract Hypermedia has proven to be a powerful way to structure and interact with multimedia information. In existing hypermedia frameworks, and particularly on the Web, different media types can be integrated in the same hyper document. Given its unique characteristics, true integration of video requires the definition of a more powerful model, denning the semantic of linking videos and other media, and taking into account its spatial and temporal properties. This paper presents the issues involved with providing hypervideo support on the Web. It reviews related work to derive the requirements for such support. These inform the definition of a hypervideo model, based on the Web hypermedia model, capturing video-specific characteristics. In particular, navigation concepts need to be revised in this richer and more complex context. The notion of link awareness is introduced, and several types denned, to help navigation in hypervideo. To support this model, extensions were made to HTML and tools were developed as extensions to existing Web tools, thus maintaining compatibility with existing documents and Web browsers. Some examples are shown to illustrate its functionality. The system is being used and validated in a project, on interactive multimedia for open and distance learning, where video plays a central role.
Understanding "gardem bench" : studies on the perception of assimilated word forms

• A submitted manuscript is the version of the article upon submission and before peer-review. There can be important differences between the submitted version and the official published version of record. People interested in the research are advised to contact the author for the final version of the publication, or visit the DOI to the publisher's website. • The final author version and the galley proof are versions of the publication after peer review. • The final published version features the final layout of the paper including the volume, issue and page numbers.
Utterance verification of short keywords using hybrid neural-network/HMM approach

We focus on utterance verification of short keywords, which contain only one syllable. The relative less information makes the task rather tough. We integrate neural network and hidden Markov models (HMMs) in an attempt to utilize the strength of both. A classifier was built for each keyword. Our model differs from other hybrid models in that we feed the neural networks with posterior likelihood generated by a set of HMMs. Therefore, statistical information can be reserved and the size of neural networks is not too large. Another feature is our utilization of word duration. Our experiments were carried out in Mandarin. Two baseline models for comparison were built, one employed the likelihood ratio measure and the other utilized a neural network presented in preceding studies. Two models depending on our approaches were constructed. The results showed that one proposed approach improved by 8.7% and 12.5%, and another by 15.2% and 19.2%.
A digital process compatible high-drive CMOS op amp with a rail-to-rail input and output ranges

Digital compatible CMOS buffer amplifiers which achieve a high degree of linearity along with heavy load (300 Omega mod mod 100 pf) driving capability from a single-5-V supply are presented. It is shown that with a novel design of the class AB output stage, one would be able to use the gate channel capacitances from standard MOSFETs as the compensation capacitors for the op amp, which would achieve the similar area efficiency as using double-polysilicon capacitors in 2-poly processes. This op amp has good performance characteristic in terms of CMRR, PSRR, and noise level, which makes it very useful in many high-performance circuit applications. The variation of small-signal voltage gain versus input CMR are similar to a recently reported result. Circuit details add measured results which clearly show improvement over previously reported results are given. <<ETX>>
A UML Based Modeling Approach for Multi Domain System Products

The paper describes an approach to a UML (Unified Modeling Language) based method for modeling multi domain system products. The model is divided into two main parts. The first part is the Use Case view where the modeling effort emanates in an analysis where functional requirements of the system are elicited. The second part is the Logical View where the system is defined and presented in a number of diagrams showing system objects (subsystems and components) in a static architecture, in dynamic behavior and interfaces between them. Special techniques are used to categorize model features in different technology domains, like mechanical, electrical etc. The method also allows that other models or documentation from e.g. CAD-systems, simulation tools etc are linked to the UML based model. Through this the UML based product model may serve as a node for the technical product description. Further on, a method is described for the systematic analysis and design of multi domain system products. The starting point is the Use Case analysis. The Use Case descriptions are then analyzed and their functionality is realized in a technical system which has the ability to meet the requirements from the Use Cases. The main ingredients of the realization work are to define the interaction between system objects and identify their functional responsibilities.
Wireless LAN Security Threats & Vulnerabilities

Wireless LANs are everywhere these days from home to large enterprise corporate networks due to the ease of installation, employee convenience, avoiding wiring cost and constant mobility support. However, the greater availability of wireless LANs means increased danger from attacks and increased challenges to an organisation, IT staff and IT security professionals. This paper discusses the various security issues and vulnerabilities related to the IEEE 802.11 Wireless LAN encryption standard and common threats/attacks pertaining to the home and enterprise Wireless LAN system and provide overall guidelines and recommendation to the home users and organizations.
A microprocessor platform for a generic protection system

An investigation is made of a particular microprocessor board arrangement which serves as the base for a variety of power system protection devices. It calculates the first 15 harmonic components of up to 9 nominal power frequency inputs and updates these harmonics every 2 ms. It dynamically tracks the fundamental frequency and alters the sampling rate to remain at 32 per fundamental cycle. The harmonic components are available for use in a variety of protection algorithms and typical examples are given. <<ETX>>
The development of an application profile for DICOM waveforms in the cathlab

DICOM is now widely, accepted and used as a standard for exchange of medical images acquired e.g. during cardiac catheterization. To be able to store and display images together with waveforms (ECG, pressure) recorded simultaneously, a new supplement to the DICOM standard has been proposed for storage and exchange of waveforms. The next step is the definition of how DICOM-waveforms capabilities should be implemented in the cathlab environment. To obtain this goal, under the supervision of the ESC Committee on Digital Imaging, a Media Storage Application Profile, as described in DICOM Part II, is defined. It contains a detailed description of how the time synchronization should be accomplished. For this, a two-step approach is proposed. Possible solutions are tested in cooperation with the hemodynamic and X-ray system vendors.
ROLE OF THE TRAINING ALGORITHM IN MODEL SELECTION ON NEURAL NETWORKS

are nested for each step of the process. In this work, we validated the hypothesis that the addition of hidden neurons in nested models lead to systematic reductions in error, regardless of the learning algorithm used; to illustrate the discussion we used the number of airline passengers and sunspots in Box & Jenkins, and RProp and Delta Rule as learning methods. Experimental evidence shows that the evaluated training methods show different behaviors as those theoretically expected, it means, not fulfilling the assumption of error reduction.
Improving Performance of Ad Hoc On-demand Distance Vector (AODV) Routing Protocol in Wireless Sensor Network

Ad hoc On-Demand Distance Vector (AODV) is a routing protocol for mobile ad hoc networks (MANETs) and other wireless ad hoc networks. This paper attempts to modify AODV to enhance network performances on wireless sensor network (WSN). The main idea of modified AODV is using multi metrics in route decision instead of single hop count metric. The modified AODV considers energy factor and node lifetime in route decision in order to maintain the connectivity of the network as long as possible. Simulation results conducted in network simulator (NS-2) prove that the effectiveness of modified AODV in terms of throughput, average end-to-end delay, routing overhead, dropped packet ratio and energy consumption and so on. There is significant decrease in average end to end delay, control overhead and dropped packet ratio by using modified AODV protocol under the varying traffic load.
Work–Family Boundary Dynamics

Theory, constructs, and research with regard to individual work–family boundary management dynamics are reviewed with the goal of promoting a greater understanding and integration of the existing literature. The article begins by noting trends that have contributed to interest in the topic, and then outlines major theoretical perspectives on boundary management and boundary characteristics, integration/segmentation, and associated constructs. It next notes limitations of existing research and concludes with recommendations for future research.
A Robot Visual Homing Model that Traverses Conjugate Gradient TD to a Variable λ TD and Uses Radial Basis Features

The term ‘homing’ refers to the ability of an agent – either animal or robot to find a known goal location. It is often used in the context of animal behaviour, for example when a bird or mammal returns ‘home’ after foraging for food, or when a bee returns to its hive. Visual homing, as the expression suggests, is the act of finding a home location using vision. Generally it is performed by comparing the image currently in view with ‘snapshot’ images of the home stored in the memory of the agent. A movement decision is then taken to try and match the current and snapshot images (Nehmzow 2000). A skill that plays a critical role in achieving robot autonomy is the ability to learn to operate in previously unknown environments (Arkin 1998; Murphy 2000; Nehmzow 2000). Furthermore, learning to home in unknown environments is a particularly desirable capability. If the process was automated and straightforward to apply, it could be used to enable a robot to reach any location in any environment, and potentially replace many existing computationally intensive homing and navigation algorithms. Numerous models have been proposed in the literature to allow mobile robots to navigate and home in a wide range of environments. Some focus on learning (Kaelbling, Littman et al. 1998; Nehmzow 2000; Asadpour and Siegwart 2004; Szenher 2005; Vardy and Moller 2005), whilst others focus on the successful application of a model or algorithm for a specific environment and ignore the learning problem (Simmons and Koenig 1995; Thrun 2000.; Tomatis, Nourbakhsh et al. 2001). Robotic often borrow conceptual mechanisms from animal homing and navigation strategies described in neuroscience or cognition literature (Anderson 1977; Cartwright and Collett 1987). Algorithms based on the snapshot model use various strategies for finding features within images and establishing correspondence between them in order to determine home direction (Cartwright and Collett 1987; Weber, Venkatesh et al. 1999; Vardy and Moller 2005). Block matching, for example, takes a block of pixels from the current view image and searches for the best matching block in stored images within a fixed search radius (Vardy and Oppacher 2005).
Walking of a piped robot with passive ankle joints

This paper deals with a walking of a biped robot which has ankle joints without motor. Ankle joints have been built using springs and mechanical constraints, which gives a flexibility of joint within a certain range and a stiffness beyond the range. The biped with the passive ankles proposed gives a good contact between its sole and the ground and makes soft foot landing. As a result, installing force sensors for measuring the center of gravity of the biped becomes easier, and the weight/cost of legs are also reduced. However, the control problem becomes more difficult because the torque of the ankle joint to put the biped in a desired walking gait cannot be provided from the passive ankle joint. To solve this problem, we proposed a dynamic gait modification method by adjusting the position of a hip joint. Experimental results with the minor modification of the SD-2 robot in the Ohio State University are given to show the validity of the proposed controller.
A tutorial on multirate digital filter banks

A number of topics in multirate digital signal processing, such as decimation and interpolation, polyphase structures, power-complementary and Mth band filters, and digital filter banks are reviewed. Maximally decimated digital filter banks are emphasized, and the problem of perfect reconstruction reviewed. The role of FIR (finite-impulse-response) lossless systems in this context is also reviewed. <<ETX>>
Fast and Efficient Opinion Mining Technique for Online Reviews Using Ranking and Classification Algorithms

In recent years, the spectacular development of web technologies, lead to an enormous quantity of user generated information in online systems. This large amount of information on web platforms make them viable for use as data sources, in applications based on opinion mining and sentiment analysis. In this paper we propose a technique for extracting the opinions from the online user reviews. Initially the data extracted from the web document which is unstructured. This phase is used for formatting the data before sentiment analysis and mining. In the second phase Feature extraction and opinion extraction is done. The features like term frequency, Part of Speech (POS) are extracted from the words in the documents. After feature extraction, we extract useful information to rate them as positive, neutral, or negative. The positive and negative features are identified by extracting the associated modifiers and opinions. Finally the supervised learning algorithm decision tree classifier is implemented with the help of features extracted. In the final step ranking and classification will be done.