Miracle-dz/UniFAR-FTUs huggingface dataset:
A Comprehensive Modeling and Simulation of Power Quality Disturbances Using MATLAB/SIMULINK

This book chapter presents a comprehensive set of MATLAB/Simulink models used to simulate various power quality disturbances. The models presented include distribution line fault, induction motor starting, and transformer energizing that are used to simulate various types of voltage sag event. Capacitor bank switching model used to simulate oscillatory transient event, lightning impulse model used to simulate impulsive transient event, nonlinear load models used to simulate triplen harmonic and voltage notching disturbances generated from the load side, and lastly electric arc furnace model used to simulate flicker disturbance are also presented. This chapter presents each power quality disturbance in MATLAB/Simulink model. The presented models are used to simulate various power quality disturbances and waveforms for power quality analysis research as well as contribute to the development of power quality education and learning curriculum.
Identifying Tabletop Corners with Angular- and Velocity-Type Trace- Features in Pen-Gestures

We present an effective corollary from our current works in pen-gesture technologies, originally intended for conventional digital screen environments, that gives significant influence when expanded into the domain of tabletop displays. By virtue of incorporating angular and velocity-type “tracefeatures” for pen-gesture cognition into current classical linear-classifiers, we are able to place a greater emphasis not on the similarity of the “visual representation” of the gestures, but rather, on determining exactly from which corners of the table the gestures were conceived. In other words, we can find out which one of the four users around the table is interfacing with the tabletop display at any particular time, and do this without the need for additional sensing paraphernalia. We find this especially useful when the hardware requirement is limited to the very basic, and when the digital tabletop displays offer only asynchronous input capabilities; i.e. only one anonymous digital pen input can be considered touching the screen correctly at any one instant. We illustrate this inception by discussing our treatment of “disoriented” pen-gestures with our version of a ‘manual’ Monopoly board game for the tabletop.
Automaton Theories of Human Sentence Comprehension

By relating grammar to cognitive architecture, John T. Hale shows how incremental parsing works in models of perceptual processing and how specific learning rules might lead to frequency-sensitive preferences. Along the way, Hale reconsiders garden-pathing, the parallel/serial distinction, and information-theoretical complexity metrics, such as surprisal. This book is a must for cognitive scientists of language.
Adaptive feedforward control algorithms for active vibration control of tall structures

This paper investigates a two degree of freedom control system which enables active vibration suppression for a tall structure subjected to seismic excitation. The control system is composed of a state feedback or robust output feedback controller and an adaptive feedforward controller. The latter can make use of acceleration rates of remote ground motions which are detected by remote sensors and sent to the controller through wireless communications, even if there exist uncertainties in seismic propagation dynamics and structure model. A robust adaptive algorithm with assured stability is presented to improve the vibration control performance by using a prior bound of uncertain term. In numerical simulations, it is shown that there exists an optimal sensor location that can minimize the maximum movement of a mass of dynamic absorber.
USING PATTERN ORIENTED MODELING TO DESIGN AND VALIDATE SPATIAL MODELS: A CASE STUDY IN AGENT-BASED MODELING

Complexity in spatial simulation models developed without an iterative development process can lead to models that produce inaccurate or nearly random results. This case study examines how real world moving-object data can be used to inform the model development process. Moving-object analysis provides a template for understanding movement behaviors evident in both empirical data and model output. Moving object data generally consists of the GPS points from tracked animals, and is usually acquired as a comma separated values file. Agent-based simulation model development in this case study is informed by pattern oriented modeling, an iterative process used to control a model’s complex variables while gradually improving model design. Three simple agent-based models were constructed and a best fit model whose output most closely matches the spatial characteristics of the Galapagos Swallowtailed Gull moving object data was identified.
Foreword: Debanalising Twitter: The Transformation of an Object of Study

Disclaimer/Complaints regulations If you believe that digital publication of certain material infringes any of your rights or (privacy) interests, please let the Library know, stating your reasons. In case of a legitimate complaint, the Library will make the material inaccessible and/or remove it from the website. Please Ask the Library: https://uba.uva. nl/en/contact, or a letter to: Library of the University of Amsterdam, Secretariat, Singel 425, 1012 WP Amsterdam, The Netherlands. You will be contacted as soon as possible.
Prevention Model For Phishing Attacks In WebApplications Using Linkguard Algorithm

Phishing is a form of acquiring sensitive information illegally in network attack such as Banking, User names, Passwords, Credit card details and so on from users. Attackers use a combination of website spoofing and social engineering to trick a user into revealing confidential information. As the present technologies improving better, the users behind phishing scams also become more devious. Phishing attacks mostly appear as spoofed emails appearing as legitimate ones which make the users to believe and divulge into them by clicking their links provided in emails. This paper presents how to avoid the phishing scams, how it is attacked. We intend a new end-user based on anti-phishing algorithm which we call “Link Guard” algorithm. Link Guard can detect not only notorious but also unfamiliar phishing attacks. We had implemented Link Guard in windows XP. Our experiment verified that Link Guard is effective in detecting and preventing attacks.This paper uses java technologies and Oracle XE.
Artificial intelligence and ophthalmology: where does the future lead?

Artificial intelligence (AI) is a branch of computer science focusing on designing methods and frameworks that can simulate humans’ way of thinking. Research area of AI includes robotics, image recognition, language recognition, computer vision, etc. Deep learning method is a class of machine learning algorithms that use a cascade of multiple layers of nonlinear processing units for feature extraction and transformation, which grant computers the ability to learn from and make predictions on data.
Design and test of robotic harvesting system for cherry tomato

Harvesting of fresh-eating cherry tomato was highly costly on labor and time. In order to achieve mechanical harvesting for the fresh-eating tomato, a new harvesting robot was designed, which consisted of a stereo visual unit, an end-effector, manipulator, a fruit collector, and a railed vehicle. The robot configuration and workflow design focused on the special cultivating condition. Three key parts were introduced in detail: a railroad vehicle capably moving on both ground and rail was adopted as the robot’s carrier, a visual servo unit was used to identify and locate the mature fruits bunch, and the end-effector to hold and separate the fruit bunch was designed based on the stalk’s mechanical features. The field test of the new developed robot was conducted and the results were analyzed. The successful harvest rate of the robot was 83%, however, each successful harvest averagely needed 1.4 times attempt, and a single successful harvesting cycle cost 8 s excluding the time cost on moving. Keywords: cherry tomato, harvesting robot, visual servo, configuration design, field test DOI: 10.25165/j.ijabe. 20181101.2853 Citation: Feng Q C, Zou W, Fan P F, Zhang C F, Wang X. Design and test of robotic harvesting system for cherry tomato. Int J Agric & Biol Eng, 2018; 11(1): 96–100.
Image stitching, color correction and superresolution of a video sequence for dermatological analysis

Skin cancer is the most common cancer on humans, some kinds of skin cancer can be deadly if not addressed correctly and in time. The diagnosis is usually stated based on the appearance of the lesions in the skin. This paper describes how to apply stitching techniques to images extracted from a video acquired with a smartphone. The method has been implemented in Matlab, and it has as objective to obtain a panoramic image of the patient skin. The goal of this project is to overcome to the resolution limitation of a typical smartphone, by applying super-resolution and colour correction techniques. The quality of the result is measured qualitatively using different methods at the merging of the images The use of VLFeat library is required to develop and follow the steps explained in this paper, the compilation of this library and how to address any error in the installation process. The panoramic image does not provide any diagnosis of the illness but is meant as a pre-processing step for an automatic tool aimed at helping the dermatologist to diagnose skin cancer.
Rust types from JSON samples - Approximating type providers with procedural macros in Rust

xiii Acknowledgements . xv Reading notes . xvii
Validation of a language measure for discrete event supervisory control

Language Measure Summary This paper validates a signed real measure of regu- lar languages and analyzes its robustness by simula- tion experiments. The simulation scenario consists of four different finite state automaton models of a fighter airplane, each under control of four different discrete- event supervisors. The results of simulation experi- ments reveal that the language measure is a usable tool for determining the robustness of supervisory con- trollers relative to small perturbations in language mea- sure parameters and plant model parameters.
Shannon's Definition of Information is Obsolete and Inadequate. it is Time to Embrace Kolmogorov’s Insights on the Matter

Information Theory, as developed by Claude Shannon in 1948, was about the communication of messages as electronic signals via a transmission channel. Only physical properties of the signal and the channel have been taken into account. While the meaning of the message has been ignored totally. Such an approach to information met very well the requirements of a data communication channel. But recent advances in almost all sciences put an urgent demand for meaningful information inclusion into the body of a communicated message. To meet this demand, I have proposed a new definition of information. In this definition, information is seen as a complex notion composed of two inseparable parts: Physical information and Semantic information. Classical informations such as Shannon, Fisher, Renyi, Kolmogorov’s complexity, and Chaitin’s algorithmic information – they are all physical information variants. Semantic information is a new concept and it desires to be properly studied, treated, and used.
Brain Tumor Extraction from MRI Images using MATLAB

Image segmentation is one of the most challenging techniques in the field of medical image processing. Brain tumor segmentation is emerging technique in this field. This paper refers to the brain tumor segmentation from MR images of patients taken from ‘Brain web’. Hybrid methodology is used to extract and detect tumor from MR images using basic concepts of digital image processing. MATLAB is used for this purpose in this paper for applying the proposed algorithm.
Implementasi Metode Mapreduce Pada Big Data Berbasis Hadoop Distributed File System

Abstrak Teknologi Big data merupakan kumpulan data dalam skala besar, yang mempunyai karakteristik data yang variatif, sangat cepat pertumbuhannya dan kompleks datanya. Data yang kompleks merupakan data yang tidak terstruktur yang perlu diolah khusus dengan suatu infrastruktur yang dapat mengelola data dalam volume besar berjalan secara realtime. Untuk itu diperlukan suatu metode yaitu Mapreduce, guna memudahkan komputasi yang akan dilakukan pada big data. Mapreduce digunakan untuk melakukan komputasi kumpulan data yang terdapat pada Hadoop Distributed File System (HDFS). Metode Mapreduce dapat ditransformasi dengan berbagai bentuk. Dengan Apache Flink metode Mapreduce dapat dikaji kembali pada arsitektur yang berbeda. Pada tugas akhir ini pengelolaan data berupa data yang tidak terstruktur dalam bentuk teks. Merancang Aplikasi HDFS pada sistem operasi linux dan mengimplementasikan metode Mapreduce. Program mapreduce yaitu berupa program penghitung jumlah kata menggunakan fungsi yang terdapat pada Apache Flink. Pada penelitian ini, Flink Mapreduce dapat melakukan komputasi lebih cepat sekitar 37,18% dari Hadoop Mapreduce. Keyword : Big Data, Hadoop Apache, MapReduce, Apache Flink Abstract Big data technology is a collection of data on a large scale, which has the characteristics of data varied, very fast growth and complex data. Complex data is unstructured data that needs to be specially processed with an infrastructure that can manage large volumes of data running in realtime. For that required a method that is Mapreduce, in order to facilitate the computation to be performed on the big data. Mapreduce is used to compute data sets contained in the Hadoop Distributed File System (HDFS). The Mapreduce method can be transformed in various forms. With Apache Flink the Mapreduce method can be reviewed on different architectures. In this final project data management is unstructured data in the form of text. Designing HDFS Applications on Linux operating systems and implementing Mapreduce methods. The mapreduce program is a number of word counting program using the function found in Apache Flink. In this study, Flink Mapreduce can perform faster computation of about 37.18% of Hadoop Mapreduce. Keyword: Big Data, Hadoop Apache, MapReduce, Apache Flink
The Application of Human Performance Models in the Design and Operation of Complex Systems

For years, systems designers have used models of hardware and software to support the system design process. Recently, there have been technological advances in modeling all aspects of human performance. The paper will describe four specific applications of human performance modeling that we are exploring to support both the design and operation of complex systems, such as future Navy ships. Specifically, this technology can be used during system design to generate team design concepts, to provide decision support for systems engineers trying to follow a human engineering process, and to allow simulation-based evaluation of human performance. During systems operation, this technology can be used to provide decision support, adaptive aiding, and automation to the operator(s). We believe that human performance modeling technology has matured to the point where it can play a significant role in both the design and operation of future complex systems, reducing both cost and risk.
Analyzing Spatio-Temporal Data Using Bluetooth for Sales Strategy

Bluetooth beacons can be used to provide location based service by utilizing near distance communication. In order to notice velocity and direction of a moving object, the TPR-Tree can be used for analyzing spatio-temporal data effectively. In this paper, we propose a technique for analyzing spatiotemporal data using Bluetooth for sales strategy. To analyze spatio-temporal data effectively, a technique accumulates spatio-temporal data obtained from the Bluetooth beacons and analyzes the data utilizing the TPR-Tree. The proposed system consists of servlet, DB based on the TPR-Tree and mobile application.
La capacité d’absorption de l’information au service de la performance.

This paper aims at analyzing the differences between two major research fields: Business intelligence and knowledge management. A framework showing the complementarities between those two fields is set up. After a literature review on those two fields we explain that economic intelligence and knowledge management are two complementary aspects as regards a unique issue, which is supporting companies’ global performance. Economic intelligence shows a major focus on explicit knowledge when as knowledge management encompasses simultaneously tacit and explicit knowledge. Both concepts emphasize the following criteria (learning practices, innovation systems, decision making and understanding) relying on similar processes. Those processes encompass various fields starting from information search to knowledge analysis and interpretation. It also covers information sharing, collaborative work and learning practices. Both concepts goals are to increase the organization absorptive capacity. This requires a necessary integration between those two concepts (Economic intelligence and knowledge management). The issue could be formulated such as: which one of those two concepts would absorb the other. Answering this question is critical as far as it may affect the deployment of those strategic functions within organizations.
An OFDM receiver employing turbo equalization for multipath environments with delay spread greater than the guard interval

This paper proposes a new OFDM turbo equalizer for mobile radio communications in the multipath environments where the delay difference is greater than the guard interval. In the OFDM transmission, the excess delay causes both inter-symbol interference (ISI) to the adjacent OFDM symbols and inter-carrier interference (ICI) within the same symbol. The proposed equalizer consists of the decision feedback equalizer for ISI cancellation and the low-complexity turbo equalizer for ICI cancellation. The latter consists of an ICI canceller, the optimal detection filter and a MAP detector. The iterative joint processing of the equalization and the decoding can effectively reduce ICI. Moreover, an ISI combiner is introduced so as to exploit the signal energy leaked to the next symbol. Computer simulations for the 5 GHz wireless LAN outdoor applications show that the proposed OFDM equalizer can effectively cancel both ISI and ICI, and that its performance is much better than that of the conventional coherent detector.
Server Staffing to Meet Time-Varying Demand

We consider a multiserver service system with general nonstationary arrival and service-time processes in which s(t), the number of servers as a function of time, needs to be selected to meet projected loads. We try to choose s(t) so that the probability of a delay (before beginning service) hits or falls just below a target probability at all times. We develop an approximate procedure based on a time-dependent normal distribution, where the mean and variance are determined by infinite-server approximations. We demonstrate that this approximation is effective by making comparisons with the exact numerical solution of the Markovian M t /M/s t model.
Semantic conditioning in interaction and transmission

A central question in language evolution research is how fundamental properties of language have evolved and how that evolutionary process is shaped by human cognition. One property observed in all natural languages is variation. Linguistic variation tends not to be random and fully unpredictable. Rather, it is conditioned on the linguistic or social environment (Givón, 1985): linguistic or social context deterministically or probabilistically predicts the use of linguistic variants. Previous research has shown that when children acquire artificial languages containing unpredictable variation, they often eliminate the variation by overusing one of the variants (e. g. Hudson Kam & Newport, 2009). However, at present there is no satisfying experimental account of why natural languages should contain so much conditioned variation or how conditioning comes about. We investigated the evolution of conditioned variation using an artificial language paradigm that included transmission and interaction. We presented participants with images of objects accompanied by their descriptions in an artificial language. Depending on experimental condition, the objects were drawn from either one semantic category (e.g. all objects were animals) or two semantic categories (a mix of animals and vehicles). Each description consisted of a nonsense verb, a noun for the object and, for scenes involving multiple objects, a variable plural marker. The plural was marked by one of two markers (e.g. dak and fip) which occurred equally frequently in our initial experimenter-designed languages. 111
Mining User Aware Rare Sequential Topic Patterns in Document Streams

The advances display is empowered the entrance to printed records to Internet clients everywhere throughout the world easily. Consecutive examples are engaged subject in information mining. Finding the conduct of successive example are useful in finding many breaking down applications like foreseeing next occasion has been fundamental. Records made and circulated on the Internet are regularly changing in different structures. The greater part of existing works is given to point displaying and the development of individual subjects. Reports made and disseminated on the Internet changing many structures. The vast majority of backend works is given to subject displaying and the advancement of individual points. The advances of innovation additional time have empowered the entrance to printed reports to web clients. Successive examples have been a centered in information mining. Consecutive example are useful in finding many dissecting applications like foreseeing next occasion has been key. A great deal of explores of content mining concentrated on removing subjects from record accumulations and archive streams numerous probabilistic theme models. To accomplish this, an arrangement of calculations is introduced for pre-preparing the client substance, create all STP bolster esteems for proficient example development, and choosing client mindful uncommon successive subjects by utilizing uncommon example area investigation.
Visual Servoing based object pick and place manipulation system

: Object pick and place manipulation is essential both in the industrial and service robot field. In this work, we proposed a whole scheme utilizing eye-in-hand visual servoing for object pick and place manipulation system. The proposed paper makes the following three contributions over existing research, 1) a feasible scheme of object pick and place manipulation system is proposed in this work. 2) An efficient structured edge detector is used for contour extraction and object detection. 3) We use the feedback of force sensor to check whether the pick operation is successful.