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what is gappso? | A hybrid of genetic algorithm and particle swarm optimization for recurrent network design: An evolutionary recurrent network which automates the design of recurrent neural/fuzzy networks using a new evolutionary learning algorithm is proposed in this paper. This new evolutionary learning algorithm is based on a hybrid... | Accounting for the effects of accountability.: This article reviews the now extensive research literature addressing the impact of accountability on a wide range of social judgments and choices. It focuses on 4 issues: (a) What impact do various accountability ground rules have on thoughts, feelings, and action? (b) Un... | Computational thinking: omputational thinking builds on the power and limits of computing processes, whether they are executed by a human or by a machine. Computational methods and models give us the courage to solve problems and design systems that no one of us would be capable of tackling alone. Computational thinkin... | EAF2- A Framework for Categorizing Enterprise Architecture Frameworks: What constitutes an enterprise architecture framework is a contested subject. The contents of present enterprise architecture frameworks thus differ substantially. This paper aims to alleviate the confusion regarding which framework contains what by... | What makes things fun to learn? heuristics for designing instructional computer games: In this paper, I will describe my intuitions about what makes computer games fun. More detailed descriptions of the experiments and the theory on which this paper is based are given by Malone (1980a, 1980b). My primary goal here is t... | The Acquisition of Reading Comprehension Skill: How do people acquire skill at comprehending what they read? That is the simple question to which we shall try to make a tentative answer. To begin, we have to acknowledge some complexities about the concept of reading comprehension and what it means to develop it. | [
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what is recurrent neural networks | A hybrid of genetic algorithm and particle swarm optimization for recurrent network design: An evolutionary recurrent network which automates the design of recurrent neural/fuzzy networks using a new evolutionary learning algorithm is proposed in this paper. This new evolutionary learning algorithm is based on a hybrid... | Investigation of recurrent-neural-network architectures and learning methods for spoken language understanding: One of the key problems in spoken language understanding (SLU) is the task of slot filling. In light of the recent success of applying deep neural network technologies in domain detection and intent identific... | A One-Layer Recurrent Neural Network with a Discontinuous Activation Function for Linear Programming: A one-layer recurrent neural network with a discontinuous activation function is proposed for linear programming. The number of neurons in the neural network is equal to that of decision variables in the linear program... | Exploiting the use of recurrent neural networks for driver behavior profiling: Driver behavior affects traffic safety, fuel/energy consumption and gas emissions. The purpose of driver behavior profiling is to understand and have a positive influence on driver behavior. Driver behavior profiling tasks usually involve an... | Gesture Recognition with a Convolutional Long Short-Term Memory Recurrent Neural Network: Inspired by the adequacy of convolutional neural networks in implicit extraction of visual features and the efficiency of Long Short-Term Memory Recurrent Neural Networks in dealing with long-range temporal dependencies, we propos... | A tutorial on training recurrent neural networks , covering BPPT , RTRL , EKF and the " echo state network " approach - Semantic Scholar: This tutorial is a worked-out version of a 5-hour course originally held at AIS in September/October 2002. It has two distinct components. First, it contains a mathematically-oriente... | [
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what is hgapso | A hybrid of genetic algorithm and particle swarm optimization for recurrent network design: An evolutionary recurrent network which automates the design of recurrent neural/fuzzy networks using a new evolutionary learning algorithm is proposed in this paper. This new evolutionary learning algorithm is based on a hybrid... | What to expect from teleconferencing.: Like other marvels of the electronic age, teleconferencing has been both oversold and underused. Though it has many potential uses, what managers know, or think they know, about it is generally based on misconceptions. Rather than relying only on vendors of teleconferencing, poten... | Accounting for the effects of accountability.: This article reviews the now extensive research literature addressing the impact of accountability on a wide range of social judgments and choices. It focuses on 4 issues: (a) What impact do various accountability ground rules have on thoughts, feelings, and action? (b) Un... | Computational thinking: omputational thinking builds on the power and limits of computing processes, whether they are executed by a human or by a machine. Computational methods and models give us the courage to solve problems and design systems that no one of us would be capable of tackling alone. Computational thinkin... | EAF2- A Framework for Categorizing Enterprise Architecture Frameworks: What constitutes an enterprise architecture framework is a contested subject. The contents of present enterprise architecture frameworks thus differ substantially. This paper aims to alleviate the confusion regarding which framework contains what by... | What makes things fun to learn? heuristics for designing instructional computer games: In this paper, I will describe my intuitions about what makes computer games fun. More detailed descriptions of the experiments and the theory on which this paper is based are given by Malone (1980a, 1980b). My primary goal here is t... | [
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what is the ep used for | A Hybrid EP and SQP for Dynamic Economic Dispatch with Nonsmooth Fuel Cost Function: Dynamic economic dispatch (DED) is one of the main functions of power generation operation and control. It determines the optimal settings of generator units with predicted load demand over a certain period of time. The objective is to... | Active torque control of electric power steering system using composite nonlinear feedback control: Electric power steering (EPS) system plays an important role in assisting the driver to achieve better handling, steering feel and response in securing vehicle stability. In EPS control system, controlling the torque of ... | An Expectation Propagation Perspective on Approximate Message Passing: An alternative derivation for the well-known approximate message passing (AMP) algorithm proposed by Donoho is presented in this letter. Compared with the original derivation, which exploits central limit theorem and Taylor expansion to simplify bel... | Asynchronous Distributed Semi-Stochastic Gradient Optimization: Lemma 2 At a specific stage s and for a worker p, let g∗ i = ∇fi(w)−∇fi(w̃) +∇F (w̃), i ∈ Dp, then the following inequality holds, Ep [ Ei‖g i ‖ ] ≤ 2L [F (w̃)− F (w∗)] , Proof 2 Ei‖g i ‖ =Ei‖∇fi(w̃)−∇fi(w)−∇F (w̃)‖ =Ei‖∇fi(w̃)−∇fi(w)‖ − 2Ei〈∇F (w̃),∇fi(w̃... | Using Supervised Learning Methods for Gene Selection in RNA-Seq Case-Control Studies: Whole transcriptome studies typically yield large amounts of data, with expression values for all genes or transcripts of the genome. The search for genes of interest in a particular study setting can thus be a daunting task, usually ... | Design and implementation of full bridge bidirectional isolated DC-DC converter for high power applications: This paper proposes the design and implementation of a high power full bridge bidirectional isolated DC-DC converter (BIDC) which comprises of two symmetrical voltage source converters and a high frequency trans... | [
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what is dynamic economic dispatch | A Hybrid EP and SQP for Dynamic Economic Dispatch with Nonsmooth Fuel Cost Function: Dynamic economic dispatch (DED) is one of the main functions of power generation operation and control. It determines the optimal settings of generator units with predicted load demand over a certain period of time. The objective is to... | Impact of Ambulance Dispatch Policies on Performance of Emergency Medical Services: In ambulance location models, fleet size and ambulance location sites are two critical factors that emergency medical service (EMS) managers can control to ensure efficient delivery of the system. The ambulance relocation and dispatch p... | Dispatching optimization and routing guidance for emergency vehicles in disaster: Based on the problem that disasters occur frequently all over the world recently. This paper aims to develop dispatching optimization and dynamical routing guidance techniques for emergency vehicles under disaster conditions, so as to red... | Short-Interval Detailed Production Scheduling in 300mm Semiconductor Manufacturing using Mixed Integer and Constraint Programming: Fully automated 300mm manufacturing requires the adoption of a real-time lot dispatching paradigm. Automated dispatching has provided significant improvements over manual dispatching by rem... | Estimating types in binaries using predictive modeling: Reverse engineering is an important tool in mitigating vulnerabilities in binaries. As a lot of software is developed in object-oriented languages, reverse engineering of object-oriented code is of critical importance. One of the major hurdles in reverse engineeri... | Applying multi-agent technique in multi-section flexible manufacturing system: In the highly competitive market, cooperative multi-agent transaction and negotiation mechanism have become an important research topic. This paper uses multi-agent technology to construct a multi-section flexible manufacturing system (FMS) ... | [
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which type of systems is genetic fuzzy | Genetic Fuzzy Systems - Evolutionary Tuning and Learning of Fuzzy Knowledge Bases: It's not surprisingly when entering this site to get the book. One of the popular books now is the genetic fuzzy systems evolutionary tuning and learning of fuzzy knowledge bases. You may be confused because you can't find the book in th... | Genetic Fuzzy Systems - Evolutionary Tuning and Learning of Fuzzy Knowledge Bases: It's not surprisingly when entering this site to get the book. One of the popular books now is the genetic fuzzy systems evolutionary tuning and learning of fuzzy knowledge bases. You may be confused because you can't find the book in th... | A hybrid method for imputation of missing values using optimized fuzzy c-means with support vector regression and a genetic algorithm: Missing values in datasets should be extracted from the datasets or should be estimated before they are used for classification, association rules or clustering in the preprocessing sta... | A hybrid of genetic algorithm and particle swarm optimization for recurrent network design: An evolutionary recurrent network which automates the design of recurrent neural/fuzzy networks using a new evolutionary learning algorithm is proposed in this paper. This new evolutionary learning algorithm is based on a hybrid... | A real-coded genetic algorithm for training recurrent neural networks: The use of Recurrent Neural Networks is not as extensive as Feedforward Neural Networks. Training algorithms for Recurrent Neural Networks, based on the error gradient, are very unstable in their search for a minimum and require much computational t... | Introduction: Hybrid intelligent adaptive systems: This issue of International Journal of Intelligent Systems includes extended versions of selected papers from the 4th International Conference on Soft Computing, held in Iizuka, Japan, September 30]October 5, 1996. The topic of the special issue is ‘‘Hybrid Intelligent... | [
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what are genetic fuzzy systems | Genetic Fuzzy Systems - Evolutionary Tuning and Learning of Fuzzy Knowledge Bases: It's not surprisingly when entering this site to get the book. One of the popular books now is the genetic fuzzy systems evolutionary tuning and learning of fuzzy knowledge bases. You may be confused because you can't find the book in th... | A Survey of Intrusion Detection Techniques: Intrusion detection is an alternative to the situation of the security violation.Security mechanism of the network is necessary against the threat to the system. There are two types of intruders: external intruders, who are unauthorized users of the machines they attack, and ... | Trajectory planning and tracking of ball and plate system using hierarchical fuzzy control scheme: Ball and plate system is the extension of traditional ball and beam system. In this paper, a trajectory planning and tracking problem of ball and plate system is put forward to proof-test diverse control schemes. Firstly,... | Introduction: Hybrid intelligent adaptive systems: This issue of International Journal of Intelligent Systems includes extended versions of selected papers from the 4th International Conference on Soft Computing, held in Iizuka, Japan, September 30]October 5, 1996. The topic of the special issue is ‘‘Hybrid Intelligent... | Artificial Intelligence techniques: An introduction to their use for modelling environmental systems: Knowledge-based or Artificial Intelligence techniques are used increasingly as alternatives to more classical techniques to model environmental systems. We review some of them and their environmental applicability, wit... | Neuro-fuzzy rule generation: survey in soft computing framework: The present article is a novel attempt in providing an exhaustive survey of neuro-fuzzy rule generation algorithms. Rule generation from artificial neural networks is gaining in popularity in recent times due to its capability of providing some insight to... | [
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genetic fuzzy systems | Genetic Fuzzy Systems - Evolutionary Tuning and Learning of Fuzzy Knowledge Bases: It's not surprisingly when entering this site to get the book. One of the popular books now is the genetic fuzzy systems evolutionary tuning and learning of fuzzy knowledge bases. You may be confused because you can't find the book in th... | A Survey of Intrusion Detection Techniques: Intrusion detection is an alternative to the situation of the security violation.Security mechanism of the network is necessary against the threat to the system. There are two types of intruders: external intruders, who are unauthorized users of the machines they attack, and ... | Trajectory planning and tracking of ball and plate system using hierarchical fuzzy control scheme: Ball and plate system is the extension of traditional ball and beam system. In this paper, a trajectory planning and tracking problem of ball and plate system is put forward to proof-test diverse control schemes. Firstly,... | Introduction: Hybrid intelligent adaptive systems: This issue of International Journal of Intelligent Systems includes extended versions of selected papers from the 4th International Conference on Soft Computing, held in Iizuka, Japan, September 30]October 5, 1996. The topic of the special issue is ‘‘Hybrid Intelligent... | Artificial Intelligence techniques: An introduction to their use for modelling environmental systems: Knowledge-based or Artificial Intelligence techniques are used increasingly as alternatives to more classical techniques to model environmental systems. We review some of them and their environmental applicability, wit... | Neuro-fuzzy rule generation: survey in soft computing framework: The present article is a novel attempt in providing an exhaustive survey of neuro-fuzzy rule generation algorithms. Rule generation from artificial neural networks is gaining in popularity in recent times due to its capability of providing some insight to... | [
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what is the parameter of inertia | A modified particle swarm optimizer: In this paper, we introduce a new parameter, called inertia weight, into the original particle swarm optimizer. Simulations have been done to illustrate the signilicant and effective impact of this new parameter on the particle swarm optimizer. | Decentralized frequency control of a DDG-PV Microgrid in islanded mode: This paper presents an innovative approach to control the frequency in Diesel-Driven Generator (DDG)-Photovoltaic (PV) Microgrid (MG) in islanded mode. The common approach is based on hierarchical control: primary control and secondary control. The... | Dynamic Modeling and Adaptive Control of a Cable-suspended Robot: The level adjustment of cable-driven parallel mechanism is challenging due to the difficulty in obtaining an accurate mathematical model and the fact that different sources of uncertainties exist in the adjustment process. This paper presents application... | Review on virtual synchronous generator (VSG) for enhancing performance of microgrid: Increasing penetration level of Distributed Generators (DGs)/ Renewable energy sources (RES) creates low inertia problems, damping effect on grid dynamic performance and stability. Voltage rise by reverse power from PV generations, ex... | Critical Clearing Time and Wind Power in Small Isolated Power Systems Considering Inertia Emulation: The stability and security of small and isolated power systems can be compromised when large amounts of wind power enter them. Wind power integration depends on such factors as power generation capacity, conventional ge... | Line-start synchronous reluctance motors: Design guidelines and testing via active inertia emulation: Line-Start Synchronous Reluctance (LS-SyR) Motors are a viable solution to reach IE4 efficiency class with the frame size of induction motors having standard efficiency. The proposed paper reviews the guidelines for th... | [
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when is the inertia weight introduced | A modified particle swarm optimizer: In this paper, we introduce a new parameter, called inertia weight, into the original particle swarm optimizer. Simulations have been done to illustrate the signilicant and effective impact of this new parameter on the particle swarm optimizer. | Mean and Variance of the Sampling Distribution of Particle Swarm Optimizers During Stagnation: Several theoretical analyses of the dynamics of particle swarms have been offered in the literature over the last decade. Virtually all rely on substantial simplifications, often including the assumption that the particles ar... | Design, modeling and control of a 5-DoF light-weight robot arm for aerial manipulation: The design, modeling and control of a 5 degrees-of-freedom light-weight robot manipulator is presented in this paper. The proposed robot arm, named Prisma Ultra-Lightweight 5 ARm (PUL5AR), is employed to execute manipulation tasks e... | Self-organizing hierarchical particle swarm optimizer with time-varying acceleration coefficients: This paper introduces a novel parameter automation strategy for the particle swarm algorithm and two further extensions to improve its performance after a predefined number of generations. Initially, to efficiently contro... | Line-start synchronous reluctance motors: Design guidelines and testing via active inertia emulation: Line-Start Synchronous Reluctance (LS-SyR) Motors are a viable solution to reach IE4 efficiency class with the frame size of induction motors having standard efficiency. The proposed paper reviews the guidelines for th... | A Novel Global Path Planning Method for Mobile Robots Based on Teaching-Learning-Based Optimization: The Teaching-Learning-Based Optimization (TLBO) algorithm has been proposed in recent years. It is a new swarm intelligence optimization algorithm simulating the teaching-learning phenomenon of a classroom. In this pape... | [
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what is the particle swarm optimizer called | A modified particle swarm optimizer: In this paper, we introduce a new parameter, called inertia weight, into the original particle swarm optimizer. Simulations have been done to illustrate the signilicant and effective impact of this new parameter on the particle swarm optimizer. | Catfish Binary Particle Swarm Optimization for Feature Selection: The feature selection process constitutes a commonly encountered problem of global combinatorial optimization. This process reduces the number of features by removing irrelevant, noisy, and redundant data, thus resulting in acceptable classification accu... | On the control of planar cable-driven parallel robot via classic controllers and tuning with intelligent algorithms: This paper presents different classical control approaches for planar cable-driven parallel robots. For the proposed robot, PD and PID controllers are designed based on the concept of pole placement meth... | A new optimizer using particle swarm theory: The optimization of nonlinear functions using particle swarm methodology is described. Implementations of two paradigms are discussed and compared, including a recently developed locally oriented paradigm. Benchmark testing of both paradigms is described, and applications, i... | Self-organizing hierarchical particle swarm optimizer with time-varying acceleration coefficients: This paper introduces a novel parameter automation strategy for the particle swarm algorithm and two further extensions to improve its performance after a predefined number of generations. Initially, to efficiently contro... | Cooperative learning in neural networks using particle swarm optimizers: This paper presents a method to employ particle swarms optim izers in a cooperative configuration. This is achieved by splitting the input vector into several sub-vectors, each w hich is optimized cooperatively in its own swarm. The applic ation o... | [
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what is the rfnn | Identification and control of dynamic systems using recurrent fuzzy neural networks: This paper proposes a recurrent fuzzy neural network (RFNN) structure for identifying and controlling nonlinear dynamic systems. The RFNN is inherently a recurrent multilayered connectionist network for realizing fuzzy inference using ... | What to expect from teleconferencing.: Like other marvels of the electronic age, teleconferencing has been both oversold and underused. Though it has many potential uses, what managers know, or think they know, about it is generally based on misconceptions. Rather than relying only on vendors of teleconferencing, poten... | Accounting for the effects of accountability.: This article reviews the now extensive research literature addressing the impact of accountability on a wide range of social judgments and choices. It focuses on 4 issues: (a) What impact do various accountability ground rules have on thoughts, feelings, and action? (b) Un... | Computational thinking: omputational thinking builds on the power and limits of computing processes, whether they are executed by a human or by a machine. Computational methods and models give us the courage to solve problems and design systems that no one of us would be capable of tackling alone. Computational thinkin... | EAF2- A Framework for Categorizing Enterprise Architecture Frameworks: What constitutes an enterprise architecture framework is a contested subject. The contents of present enterprise architecture frameworks thus differ substantially. This paper aims to alleviate the confusion regarding which framework contains what by... | What makes things fun to learn? heuristics for designing instructional computer games: In this paper, I will describe my intuitions about what makes computer games fun. More detailed descriptions of the experiments and the theory on which this paper is based are given by Malone (1980a, 1980b). My primary goal here is t... | [
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what is rfnn | Identification and control of dynamic systems using recurrent fuzzy neural networks: This paper proposes a recurrent fuzzy neural network (RFNN) structure for identifying and controlling nonlinear dynamic systems. The RFNN is inherently a recurrent multilayered connectionist network for realizing fuzzy inference using ... | What to expect from teleconferencing.: Like other marvels of the electronic age, teleconferencing has been both oversold and underused. Though it has many potential uses, what managers know, or think they know, about it is generally based on misconceptions. Rather than relying only on vendors of teleconferencing, poten... | Accounting for the effects of accountability.: This article reviews the now extensive research literature addressing the impact of accountability on a wide range of social judgments and choices. It focuses on 4 issues: (a) What impact do various accountability ground rules have on thoughts, feelings, and action? (b) Un... | Computational thinking: omputational thinking builds on the power and limits of computing processes, whether they are executed by a human or by a machine. Computational methods and models give us the courage to solve problems and design systems that no one of us would be capable of tackling alone. Computational thinkin... | EAF2- A Framework for Categorizing Enterprise Architecture Frameworks: What constitutes an enterprise architecture framework is a contested subject. The contents of present enterprise architecture frameworks thus differ substantially. This paper aims to alleviate the confusion regarding which framework contains what by... | What makes things fun to learn? heuristics for designing instructional computer games: In this paper, I will describe my intuitions about what makes computer games fun. More detailed descriptions of the experiments and the theory on which this paper is based are given by Malone (1980a, 1980b). My primary goal here is t... | [
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what is fuzzy neural network | Identification and control of dynamic systems using recurrent fuzzy neural networks: This paper proposes a recurrent fuzzy neural network (RFNN) structure for identifying and controlling nonlinear dynamic systems. The RFNN is inherently a recurrent multilayered connectionist network for realizing fuzzy inference using ... | Introduction: Hybrid intelligent adaptive systems: This issue of International Journal of Intelligent Systems includes extended versions of selected papers from the 4th International Conference on Soft Computing, held in Iizuka, Japan, September 30]October 5, 1996. The topic of the special issue is ‘‘Hybrid Intelligent... | Classification of rice grain varieties using two artificial neural networks (MLP and neuro-fuzzy).: Artificial neural networks (ANNs) have many applications in various scientific areas such as identification, prediction and image processing. This research was done at the Islamic Azad University, Shahr-e-Rey Branch, dur... | A hybrid of genetic algorithm and particle swarm optimization for recurrent network design: An evolutionary recurrent network which automates the design of recurrent neural/fuzzy networks using a new evolutionary learning algorithm is proposed in this paper. This new evolutionary learning algorithm is based on a hybrid... | Human Body Posture Classification by a Neural Fuzzy Network and Home Care System Application: A new classification approach for human body postures based on a neural fuzzy network is proposed in this paper, and the approach is applied to detect emergencies that are caused by accidental falls. Four main body postures ar... | Neuro-fuzzy rule generation: survey in soft computing framework: The present article is a novel attempt in providing an exhaustive survey of neuro-fuzzy rule generation algorithms. Rule generation from artificial neural networks is gaining in popularity in recent times due to its capability of providing some insight to... | [
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what is the body area in the fusiform gyrus | Separate face and body selectivity on the fusiform gyrus.: Recent reports of a high response to bodies in the fusiform face area (FFA) challenge the idea that the FFA is exclusively selective for face stimuli. We examined this claim by conducting a functional magnetic resonance imaging experiment at both standard (3.12... | Dissecting Contributions of Prefrontal Cortex and Fusiform Face Area to Face Working Memory: Interactions between prefrontal cortex (PFC) and stimulusspecific visual cortical association areas are hypothesized to mediate visual working memory in behaving monkeys. To clarify the roles for homologous regions in humans, e... | Developmental deficits in social perception in autism: the role of the amygdala and fusiform face area: Autism is a severe developmental disorder marked by a triad of deficits, including impairments in reciprocal social interaction, delays in early language and communication, and the presence of restrictive, repetitive... | Adults and children processing music: An fMRI study: The present study investigates the functional neuroanatomy of music perception with functional magnetic resonance imaging (fMRI). Three different subject groups were investigated to examine developmental aspects and effects of musical training: 10-year-old children w... | Memory encoding in Alzheimer's disease: an fMRI study of explicit and implicit memory.: Alzheimer's disease is the most common cause of dementia in older adults. Although the cognitive deficits and pathologic hallmarks of Alzheimer's disease have been well characterized, few functional imaging studies have examined the... | Regional coherence changes in the early stages of Alzheimer’s disease: A combined structural and resting-state functional MRI study: Recent functional imaging studies have indicated that the pathophysiology of Alzheimer's disease (AD) can be associated with the changes in spontaneous low-frequency (<0.08 Hz) blood oxyg... | [
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where is the fusiform gyrus located | Separate face and body selectivity on the fusiform gyrus.: Recent reports of a high response to bodies in the fusiform face area (FFA) challenge the idea that the FFA is exclusively selective for face stimuli. We examined this claim by conducting a functional magnetic resonance imaging experiment at both standard (3.12... | The Neural Substrate of Human Empathy: Effects of Perspective-taking and Cognitive Appraisal: Whether observation of distress in others leads to empathic concern and altruistic motivation, or to personal distress and egoistic motivation, seems to depend upon the capacity for self-other differentiation and cognitive app... | Regional coherence changes in the early stages of Alzheimer’s disease: A combined structural and resting-state functional MRI study: Recent functional imaging studies have indicated that the pathophysiology of Alzheimer's disease (AD) can be associated with the changes in spontaneous low-frequency (<0.08 Hz) blood oxyg... | Adults and children processing music: An fMRI study: The present study investigates the functional neuroanatomy of music perception with functional magnetic resonance imaging (fMRI). Three different subject groups were investigated to examine developmental aspects and effects of musical training: 10-year-old children w... | Dissecting Contributions of Prefrontal Cortex and Fusiform Face Area to Face Working Memory: Interactions between prefrontal cortex (PFC) and stimulusspecific visual cortical association areas are hypothesized to mediate visual working memory in behaving monkeys. To clarify the roles for homologous regions in humans, e... | Developmental deficits in social perception in autism: the role of the amygdala and fusiform face area: Autism is a severe developmental disorder marked by a triad of deficits, including impairments in reciprocal social interaction, delays in early language and communication, and the presence of restrictive, repetitive... | [
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what is ffa in brain | Separate face and body selectivity on the fusiform gyrus.: Recent reports of a high response to bodies in the fusiform face area (FFA) challenge the idea that the FFA is exclusively selective for face stimuli. We examined this claim by conducting a functional magnetic resonance imaging experiment at both standard (3.12... | Towards The Deep Model: Understanding Visual Recognition Through Computational Models: Introduction Vision, due to its significance in surviving and socializing, is one of the most important and extensively studied sensory functions in the human brain. In order to fully understand visual information processing, or mo... | Facing facts: neuronal mechanisms of face perception.: The face is one of the most important stimuli carrying social meaning. Thanks to the fast analysis of faces, we are able to judge physical attractiveness and features of their owners' personality, intentions, and mood. From one's facial expression we can gain infor... | A survey of signal processing algorithms in brain-computer interfaces based on electrical brain signals.: Brain-computer interfaces (BCIs) aim at providing a non-muscular channel for sending commands to the external world using the electroencephalographic activity or other electrophysiological measures of the brain fun... | The Human Brain in Numbers: A Linearly Scaled-up Primate Brain: The human brain has often been viewed as outstanding among mammalian brains: the most cognitively able, the largest-than-expected from body size, endowed with an overdeveloped cerebral cortex that represents over 80% of brain mass, and purportedly containi... | Electrodermal responses: what happens in the brain.: Electrodermal activity (EDA) is now the preferred term for changes in electrical conductance of the skin, including phasic changes that have been referred to as galvanic skin responses (GSR), that result from sympathetic neuronal activity. EDA is a sensitive psychoph... | [
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what is the scheduling algorithm | Scheduling for Reduced CPU Energy: The energy usage of computer systems is becoming more important, especially for battery operated systems. Displays, disks, and cpus, in that order, use the most energy. Reducing the energy used by displays and disks has been studied elsewhere; this paper considers a new method for red... | A survey of hard real-time scheduling for multiprocessor systems: This survey covers hard real-time scheduling algorithms and schedulability analysis techniques for homogeneous multiprocessor systems. It reviews the key results in this field from its origins in the late 1960s to the latest research published in late 20... | Scheduling Real-Time Transactions: A Performance Evaluation: Managing transactions with real-time requirements presents many new problems. In this paper we address several: How can we schedule transactions with deadlines? How do the real-time constraints affect concurrency control? How should overloads be handled? How ... | Energy-Aware Genetic Algorithms for Task Scheduling in Cloud Computing: For the cloud computing, task scheduling problems are of paramount importance. It becomes more challenging when takes into account energy consumption, traditional make span criteria and users QoS as objectives. This paper considers independent task... | Cloud Task Scheduling Based on Load Balancing Ant Colony Optimization: The cloud computing is the development of distributed computing, parallel computing and grid computing, or defined as the commercial implementation of these computer science concepts. One of the fundamental issues in this environment is related to t... | An Optimized Round Robin Scheduling Algorithm for CPU Scheduling: The main objective of this paper is to develop a new approach for round robin scheduling which help to improve the CPU efficiency in real time and time sharing operating system. There are many algorithms available for CPU scheduling. But we cannot implem... | [
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what reduces cpu energy | Scheduling for Reduced CPU Energy: The energy usage of computer systems is becoming more important, especially for battery operated systems. Displays, disks, and cpus, in that order, use the most energy. Reducing the energy used by displays and disks has been studied elsewhere; this paper considers a new method for red... | Energy and Performance Characterization of Mobile Heterogeneous Computing: A modern mobile application processor is a heterogeneous multi-core SoC which integrates CPU and application-specific accelerators such as GPU and DSP. It provides opportunity to accelerate other compute-intensive applications, yet mapping an al... | vSlicer: latency-aware virtual machine scheduling via differentiated-frequency CPU slicing: Recent advances in virtualization technologies have made it feasible to host multiple virtual machines (VMs) in the same physical host and even the same CPU core, with fair share of the physical resources among the VMs. However,... | A Survey of CPU-GPU Heterogeneous Computing Techniques: As both CPUs and GPUs become employed in a wide range of applications, it has been acknowledged that both of these Processing Units (PUs) have their unique features and strengths and hence, CPU-GPU collaboration is inevitable to achieve high-performance computing.... | On accelerating pair-HMM computations in programmable hardware: This paper explores hardware acceleration to significantly improve the runtime of computing the forward algorithm on Pair-HMM models, a crucial step in analyzing mutations in sequenced genomes. We describe 1) the design and evaluation of a novel accelerato... | MAFFT: a novel method for rapid multiple sequence alignment based on fast Fourier transform.: A multiple sequence alignment program, MAFFT, has been developed. The CPU time is drastically reduced as compared with existing methods. MAFFT includes two novel techniques. (i) Homo logous regions are rapidly identified by th... | [
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why cpu energy use less | Scheduling for Reduced CPU Energy: The energy usage of computer systems is becoming more important, especially for battery operated systems. Displays, disks, and cpus, in that order, use the most energy. Reducing the energy used by displays and disks has been studied elsewhere; this paper considers a new method for red... | Proofs of Space-Time and Rational Proofs of Storage: We introduce a new cryptographic primitive: Proofs of SpaceTime (PoSTs) and construct a practical protocol for implementing these proofs. A PoST allows a prover to convince a verifier that she spent a “spacetime” resource (storing data—space—over a period of time). F... | Effective Dynamic Voltage Scaling Through CPU-Boundedness Detection: Dynamic voltage scaling (DVS) allows a program to execute at a non-peak CPU frequency in order to reduce CPU power, and hence, energy consumption; however, it is done at the cost of performance degradation. For a program whose execution time is bounde... | Energy-Efficient I/O Thread Schedulers for NVMe SSDs on NUMA: Non-volatile memory express (NVMe) based SSDs and the NUMA platform are widely adopted in servers to achieve faster storage speed and more powerful processing capability. As of now, very little research has been conducted to investigate the performance and e... | A Survey of CPU-GPU Heterogeneous Computing Techniques: As both CPUs and GPUs become employed in a wide range of applications, it has been acknowledged that both of these Processing Units (PUs) have their unique features and strengths and hence, CPU-GPU collaboration is inevitable to achieve high-performance computing.... | Bag of Tricks for Efficient Text Classification: This paper explores a simple and efficient baseline for text classification. Our experiments show that our fast text classifier fastText is often on par with deep learning classifiers in terms of accuracy, and many orders of magnitude faster for training and evaluation. ... | [
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what is the new technology for location prediction | A data mining approach for location prediction in mobile environments: Mobility prediction is one of the most essential issues that need to be explored for mobility management in mobile computing systems. In this paper, we propose a new algorithm for predicting the next inter-cell movement of a mobile user in a Persona... | Understanding predictability and exploration in human mobility: Predictive models for human mobility have important applications in many fields including traffic control, ubiquitous computing, and contextual advertisement. The predictive performance of models in literature varies quite broadly, from over 90% to under 4... | A Survey of Location Prediction on Twitter: Locations, e.g., countries, states, cities, and point-of-interests, are central to news, emergency events, and people's daily lives. Automatic identification of locations associated with or mentioned in documents has been explored for decades. As one of the most popular onlin... | Digital Democracy : Reimagining Pathways to Political Participation: Recently, research revolving around blogs has flourished. Usually, academics illustrate what blogs are, motivations to blog, and, only to some extent, their role in politics. Along these lines, we examine the impact of digital politics by looking spec... | Going wireless: behavior & practice of new mobile phone users: We report on the results of a study in which 19 new mobile phone users were closely tracked for the first six weeks after service acquisition. Results show that new users tend to rapidly modify their perceptions of social appropriateness around mobile phone... | Spatiotemporal Sequential Influence Modeling for Location Recommendations: A Gravity-based Approach: Recommending to users personalized locations is an important feature of Location-Based Social Networks (LBSNs), which benefits users who wish to explore new places and businesses to discover potential customers. In LBSN... | [
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how to make a location prediction | A data mining approach for location prediction in mobile environments: Mobility prediction is one of the most essential issues that need to be explored for mobility management in mobile computing systems. In this paper, we propose a new algorithm for predicting the next inter-cell movement of a mobile user in a Persona... | Syntax and semantics in the acquisition of locative verbs.: Children between the ages of three and seven occasionally make errors with locative verbs like pour and fill, such as *I filled water into the glass and *I poured the glass with water (Bowerman, 1982). To account for this pattern of errors, and for how they ar... | Understanding predictability and exploration in human mobility: Predictive models for human mobility have important applications in many fields including traffic control, ubiquitous computing, and contextual advertisement. The predictive performance of models in literature varies quite broadly, from over 90% to under 4... | Mining geographic-temporal-semantic patterns in trajectories for location prediction: In recent years, research on location predictions by mining trajectories of users has attracted a lot of attention. Existing studies on this topic mostly treat such predictions as just a type of location recommendation, that is, they ... | The influence of urgency on decision time: A fruitful quantitative approach to understanding how the brain makes decisions has been to look at the time needed to make a decision, and how it is affected by factors such as the supply of information, or an individual's expectations. This approach has led to a model of dec... | Geo-parsing Messages from Microtext: Widespread use of social media during crises has become commonplace, as shown by the volume of messages during the Haiti earthquake of 2010 and Japan tsunami of 2011. Location mentions are particularly important in disaster messages as they can show emergency responders where proble... | [
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why is data mining useful | A data mining approach for location prediction in mobile environments: Mobility prediction is one of the most essential issues that need to be explored for mobility management in mobile computing systems. In this paper, we propose a new algorithm for predicting the next inter-cell movement of a mobile user in a Persona... | On mining cross-graph quasi-cliques: Joint mining of multiple data sets can often discover interesting, novel, and reliable patterns which cannot be obtained solely from any single source. For example, in cross-market customer segmentation, a group of customers who behave similarly in multiple markets should be conside... | A Framework for Emotion Mining from Text in Online Social Networks: Online Social Networks are so popular nowadays that they are a major component of an individual’s social interaction. They are also emotionally-rich environments where close friends share their emotions, feelings and thoughts. In this paper, a new fram... | Speeding up k-means Clustering by Bootstrap Averaging: K-means clustering is one of the most popular clustering algorithms used in data mining. However, clustering is a time consuming task, particularly w ith the large data sets found in data mining. In this p aper we show how bootstrap averaging with k-means can produ... | OntoDM: An Ontology of Data Mining: Motivated by the need for unification of the field of data mining and the growing demand for formalized representation of outcomes of research, we address the task of constructing an ontology of data mining. The proposed ontology, named OntoDM, is based on a recent proposal of a gene... | Temporal Data Mining: An Overview: — To classify data mining problems and algorithms we used two dimensions: data type and type of mining operations. One of the main issue that arise during the data mining process is treating data that contains temporal information. The area of temporal data mining has very much attent... | [
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what is structural clustering? | $\mathsf {pSCAN}$ : Fast and Exact Structural Graph Clustering: We study the problem of structural graph clustering, a fundamental problem in managing and analyzing graph data. Given an undirected unweighted graph, structural graph clustering is to assign vertices to clusters, and to identify the sets of hub vertices a... | Unveiling clusters of events for alert and incident management in large-scale enterprise it: Large enterprise IT (Information Technology) infrastructure components generate large volumes of alerts and incident tickets. These are manually screened, but it is otherwise difficult to extract information automatically from ... | Online fuzzy c means: Clustering streaming data presents the problem of not having all the data available at one time. Further, the total size of the data may be larger than will fit in the available memory of a typical computer. If the data is very large, it is a challenge to apply fuzzy clustering algorithms to get a... | iVAT and aVAT: Enhanced Visual Analysis for Cluster Tendency Assessment: Given a pairwise dissimilarity matrix D of a set of n objects, visual methods (such as VAT) for cluster tendency assessment generally represent D as an n × n image I(D̃) where the objects are reordered to reveal hidden cluster structure as dark bl... | You Are What You Post: What the Content of Instagram Pictures Tells About Users' Personality: Instagram is a popular social networking application that allows users to express themselves through the uploaded content and the different filters they can apply. In this study we look at the relationship between the content ... | The Structure and Dynamics of Co-Citation Clusters: A Multiple-Perspective Co-Citation Analysis: A multiple-perspective co-citation analysis method is introduced for characterizing and interpreting the structure and dynamics of co-citation clusters. The method facilitates analytic and sense making tasks by integrating ... | [
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structural clustering maths | $\mathsf {pSCAN}$ : Fast and Exact Structural Graph Clustering: We study the problem of structural graph clustering, a fundamental problem in managing and analyzing graph data. Given an undirected unweighted graph, structural graph clustering is to assign vertices to clusters, and to identify the sets of hub vertices a... | Review of Micro Thermoelectric Generator: Used for thermal energy harvesting, thermoelectric generator (TEG) can convert heat into electricity directly. Structurally, the main part of TEG is the thermopile, which consists of thermocouples connected in series electrically and in parallel thermally. Benefiting from massi... | Compact Ultrawideband MIMO Antenna With Half-Slot Structure: In this letter, a multiple-input–multiple-output (MIMO) antenna with very compact size of only <inline-formula> <tex-math notation="LaTeX">$\text{23}\times \text{18}\; \text{mm}^{2}$</tex-math></inline-formula> is proposed for ultrawideband (UWB) applications... | Multiple Trench Split-gate SOI LDMOS Integrated With Schottky Rectifier: In this paper, a multiple trench split-gate silicon-on-insulator (SOI) lateral double-diffused MOSFET with a Schottky rectifier (MTS-SG-LDMOS) is proposed and its characteristics are studied using 2-D simulations. The new structure features double... | The Modified Abbreviated Math Anxiety Scale: A Valid and Reliable Instrument for Use with Children: Mathematics anxiety (MA) can be observed in children from primary school age into the teenage years and adulthood, but many MA rating scales are only suitable for use with adults or older adolescents. We have adapted one... | The Reorganization of Human Brain Networks Modulated by Driving Mental Fatigue: The organization of the brain functional network is associated with mental fatigue, but little is known about the brain network topology that is modulated by the mental fatigue. In this study, we used the graph theory approach to investigat... | [
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when to use structural clustering in math | $\mathsf {pSCAN}$ : Fast and Exact Structural Graph Clustering: We study the problem of structural graph clustering, a fundamental problem in managing and analyzing graph data. Given an undirected unweighted graph, structural graph clustering is to assign vertices to clusters, and to identify the sets of hub vertices a... | Review of Micro Thermoelectric Generator: Used for thermal energy harvesting, thermoelectric generator (TEG) can convert heat into electricity directly. Structurally, the main part of TEG is the thermopile, which consists of thermocouples connected in series electrically and in parallel thermally. Benefiting from massi... | On the relationship between math anxiety and math achievement in early elementary school: The role of problem solving strategies.: Even at young ages, children self-report experiencing math anxiety, which negatively relates to their math achievement. Leveraging a large dataset of first and second grade students' math a... | Differentiating anxiety forms and their role in academic performance from primary to secondary school: INTRODUCTION
Individuals with high levels of mathematics anxiety are more likely to have other forms of anxiety, such as general anxiety and test anxiety, and tend to have some math performance decrement compared to t... | An Energy-Efficient and Wide-Range Voltage Level Shifter With Dual Current Mirror: This brief presents an energy-efficient level shifter (LS) to convert a subthreshold input signal to an above-threshold output signal. In order to achieve a wide range of conversion, a dual current mirror (CM) structure consisting of a v... | The Modified Abbreviated Math Anxiety Scale: A Valid and Reliable Instrument for Use with Children: Mathematics anxiety (MA) can be observed in children from primary school age into the teenage years and adulthood, but many MA rating scales are only suitable for use with adults or older adolescents. We have adapted one... | [
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