Miracle-dz/UniFAR-FTUs huggingface dataset:
Joint time-frequency transform for radar range-Doppler imaging

Conventional radar imaging uses the Fourier transform to retrieve Doppler information. However, due to the complex motion of a target, the Doppler frequency shifts are actually time-varying. By using the Fourier transform, the Doppler spectrum becomes smeared and the image is blurred. Without resorting to sophisticated motion compensation algorithms, the image blurring problem can be resolved with the joint time-frequency transform. High-resolution time-frequency transforms are investigated, and examples of applications to radar imaging of single and multiple targets with complex motion are given.
A novel FIR filter design method based on windowing

A simple extension to the window design method is proposed that provides the flexibility to specify independently the passband ripple and stopband ripple. The modification to the routine is based on creating an additive component which, when applied to the filter, can redistribute the concentration of z-plane zeros in the passband and stopband regions of the z-plane. Some examples and comparisons are also presented. <<ETX>>
Solution Space Based Analysis of the Difficulty of Aircraft Merging Tasks

Air traffic controller workload is considered to be a limiting factor in the growth of air traffic worldwide. In this paper a new method of assessing controller task demand load will be developed and tested. Based on the hypothesis that operator workload is primarily caused by the difficulty of the task to be conducted, the concept of the solution space is described. For any particular air traffic control problem, the solution space describes the constraints in the environment that limit (and therefore guide) air traffic controller decisions and actions. The difficulty of that particular control problem can then be analyzed by considering the properties of the solution space. The task of merging an aircraft into a stream of other aircraft that fly along a fixed route is considered. An experiment has been conducted in which subjects were instructed to solve several merging problem scenarios of varying difficulty. After completing each scenario, subjects were asked to rate the difficulty of their task. High correlations are found between several solution-space properties and self-reported task difficulty.
Implementation of Support Vector Machines and Clustering of Intrusion Detection System for Computer Networks

Considering that intrusion detection systems and anomaly clearly recognize malicious activity. Nowadays, data mining based intrusion detection systems, security and more rapidly detect attacks.Therefore,in this article we use a combination of k-means clustering algorithm and is used supervised support vector machine algorithm to find the best line separator. This is leading to the separation of normal and attack traffic.
Autotuning, code generation and optimizing compiler technology for gpus

Graphics Processing Units (GPUs) have evolved to devices with teraflop-level performance potential. Application developers have a tedious task in developing GPU software by correctly identifying parallel computation and optimizing placement of data for the parallel processors in such architectures. Further, code optimized for one architecture may not perform well on different generations of even the same processor family. Many manually tuned GPU solutions would need a complete rewrite on a different architecture, hence more programmer time and effort. High-performance computing on GPUs can be facilitated by programming models and programming frameworks that attempt to reduce the amount of time and effort needed to develop GPU applications. This thesis describes a compiler framework for automatically generating and optimizing parallel code for GPUs (CUDA code for Nvidia GPUs), relieving programmers of the tedious work of parallelizing sequential code. The framework describes a script-based compiler for CUDA code generation combining: a Transformation Strategy Generator (TSG), which automatically generates multiple scripts representing different optimization strategies; an Autotuning System that automatically generates a set of code variants and selects the best among them through empirical evaluation. An underlying loop transformation and code generation framework takes TSG-generated scripts as input and generates CUDA code; thus enabling an end-to-end system to produce high performance solutions for scientific computations on a given GPU architecture. This flexible organization enables the system to explore a large optimization search space, simultaneously targeting different architecture features, but constrained by data dependences and guided by data reuse and the best heuristics from manual tuning. The system tailors the generated code to yield high-performance results for different GPU generations, data types and data sets. The key contributions of this thesis include: (1) the meta-optimizer, TSG, (2) a search and autotuning mechanism, (3) integration with a script-based compiler framework, resulting in an end-to-end automatic parallelization system, (4) performance portable code generation for the Nvidia GTX-280 and Nvidia Tesla C2050 Fermi architectures, and (5) performance gains of up to 1.84x over linear algebra kernels in the manually-tuned Nvidia CUBLAS library, and up to 2.03x for a set of scientific, multimedia and imaging kernels over a state-of-the-art GPU compiler.
Development and evaluation of thermal imaging techniques for non-contact respiration monitoring

Respiration rate is one of the main indicators of an individual's health and therefore it requires accurate quantification. Its value can be used to predict life threatening conditions such as the child death syndrome and heart attacks. The current respiration rate monitoring methods are contact based, i.e. a sensing device needs to be attached to the person's body. Physically constraining infants and young children by a sensing device can be stressful to the individuals which in turn affects their respiration rate. Therefore, measuring respiration rate in a non-contact manner (i.e. without attaching the sensing device to the subject) has distinct benefits. Currently there is not any non-contact respiration rate monitoring available for use in medical field.The aim of this study was to investigate thermal imaging as a means for non-contact respiration rate monitoring. Thermal imaging is safe and easy to deploy. Twenty children were enrolled for the study at Sheffield Children Hospital; the children were from 6 month to 17 years old. They slept comfortably in a bed during the recordings. A high resolution high sensitivity (0.08 degree Kelvin) thermal camera (Flir A40) was used for the recordings. The image capture rate was 50 frames per second and its recording duration per subject was two minutes (i.e. 6000 image frames)A median digital lowpass filter was used to remove unwanted frequency spectrum of the images. An important issue was to localize and track the area centered on the tip of the nose (i.e. respiration region of interest, ROI). A number of approaches were developed for this purpose. The most effective approach was to identify use the warmest facial point (i.e. the point where the bridge of the nose meets the corner of one of the eyes). A novel method to analyse the selected ROI was devised. This involved segmenting the ROI into eight equal segments centred on the tip of nose. A respiration signal was produced for each segment across the 6000 recorded images from each subject. The study demonstrated that the process of dividing the ROI into eight segments improves determination of respiration rate. The respiration signals were processed both in the time and frequency domains to determine respiration rates for the 20 subjects included in the study. The respiration values obtained from the two domains were close. During each recording respiration rate was monitored using conventional contact methods (e.g. nostril thermistor, abdomen and chest movement sensor etc). There was a close correlation (correlation value 0.99) between respiration values obtained by thermal imaging and those obtained using conventional contact method.The novel aspects of the study relate to the development of techniques that facilitated thermal imaging as an effective non-contact respiration rate monitoring in both normal and patient subject groups.
Towards Improving P300-based Brain-Computer Interfaces: From Desktop to Mobile

A brain-computer interface (BCI) enables a paralyzed user to interact with an external device through brain signals. A BCI measures identifies patterns within these measured signals, translating such patterns into commands. The P300 is a pattern of a scalp potentials elicited by a luminance increment of an attended target rather than a non-target character of an alphanumeric matrix. The Row-Column Paradigm (RCP) can utilize responses to series of illuminations of matrix target and non-target characters to spell out alphanumeric strings of P300-eliciting target characters, yet this popular RCP speller faces three challenges. The adjacent problem concerns the proximity of neighboring characters, the crowding problem concerns their number. Both adjacent and crowding problems concern how these factors impede BCI performance. The fatigue problem concerns how RCP use is tiring. This dissertation addressed these challenges for both desktop and mobile platforms. A new P300 speller interface, the Zigzag Paradigm (ZP), reduced the adjacent problem by increasing the distance between adjacent characters, as well as the crowding problem, by reducing the number neighboring characters. In desktop study, the classification accuracy was significantly improved 91% with the ZP VS 80.6% with
Normal aided functioning: Pipe dream or possibility?

A person wearing hearing aids can reasonably be described as functioning normally if he or she experiences about the same degree of difficulty as someone with normal hearing in a given listening environment.1 “Normal” does not mean never having trouble understanding in any situation. Everyone has some trouble in difficult listening environments. We all have to say “what” from time to time and sometimes lose track of the conversation.
IT Governance Issues in Korean Government Integrated Data Center

Korean government established the GIDC (Government Integrated Data Center) as a comprehensive solution by integrating information systems spread across each government department. It has played a crucial role to expedite the growth of Korean e-Government. It has a variety of IT governance issues because it is essentially involved with conflicts among the stakeholders. However, there are few studies on the IT governance issues within the GIDC. This paper explores some of the existing IT governance issues through literature review and derives the most important IT governance issues by collecting data from an expert panel. Then, this paper provides some practical implications. The results of this study are expected to be able to contribute to the establishment of effective IT governance in the public sector.
CME Information: Multiple Myeloma: 2014 update on diagnosis, risk-stratification and management

No commercial support has been accepted related to the development or publication of this activity. Author: S. Vincent Rajkumar, M.D. has no relevant financial relationships to disclose. CME Editor: Ayalew Tefferi, M.D. has no relevant financial relationships to disclose. This activity underwent peer review in line with the standards of editorial integrity and publication ethics maintained by American Journal of Hematology. The peer reviewers have no conflicts of interest to disclose. The peer review process for American Journal of Hematology is single blinded. As such, the identities of the reviewers are not disclosed in line with the standard accepted practices of medical journal peer review. Conflicts of interest have been identified and resolved in accordance with Blackwell Futura Media Services’s Policy on Activity Disclosure and Conflict of Interest. The primary resolution method used was peer review and review by a non-conflicted expert.
Benchmarking of the Key Sample Machine

In learning control schemes such as Learning Feed-Forward Control(LFFC), a function approximator is embedded to approximate the inverse of the plant under control. The function approximation concerns itself with finding a relation within a set of samples supplied before. The goal of the function approximator is to select the best function from a set of possible functions to approximate the true relation contained in the noisy data set. In previously LFFC research, different function approximator has been used: the Least Squares Approximator, the neural networks such as Multilayer Perceptron (MLP)and B-splines Networks, the Support Vector Machines (SVM) and the Least Squares Support Vector Machines (LSSVM), ect. Recently a new off-line approximator called Key Sample Machine (KSM) has been developed during the Ph.D research of dr. ir. B.J. de Kruif. A series of tests had been made to evaluate the performance of KSM and showed it gives a smaller prediction error for noisy data in a shorter time compared with other methods. However, these tests have not been performed with a sufficient number of different problems/data sets. With a smaller volume of data sets, it is impossible to characterize the behaviour of KSM in a broad statistical view. For this purpose a standard of experimentation should be valid in the sense that there are no artefacts created by random factors or by a faulty experimental setup. The goal of this research is to test and evaluate the KSM algorithm by standard experiments and to compare it with other available methods (SVM,LSSVM,RBFN) on standard sets of regression problems through simulation. Nine well-known approximation benchmarking problems are used in our simulation, including six real-world data sets and three artificial data sets. The comparison is performed with respect to the ability to approximate various data sets, the efficiency of learning, and the ability to train samples from the real-world data. Simulation results show that the KSM yields good performance, especially when considering the efficiency, which is very important for its application in the online LFFC setting. In short, our results confirm the potential of KSM to be a good function approximator.
Proceedings of the Twenty-Third Australasian Database Conference - Volume 124

It is our pleasure to present to you the Proceedings of the 23rd Australasian Database Conference (ADC 2012), taking place in Melbourne, Australia. The Australasian Database Conference series is an annual forum for sharing the latest research and novel applications of database systems. ADC 2012 is held as part of the Australasian Computer Science Week (ACSW 2012)
Service Reliability Theory and Engineering, II: Models and Examples

Abstract In Part I of this work, the primitives, concepts, terminology, and fundamental ideas of service reliability theory and engineering were developed. The purpose of this paper is to describe some mathematical models useful for service reliability engineering and to illustrate the use of these ideas by examination of some examples. The paper deals mainly with examples from the author’s experiences in the telecommunications industry. Failure modes and failure mechanisms for telecommunications services are described and some mathematical models suitable for reliability engineering for these services are reviewed. The models help with discussion of service reliability figures of merit and metrics and with the specific tasks required to design a service to be reliable.
Information-based syntax and semantics

A long-standing, near-universal, and erroneous practice of teaching syntax in a void exists, as if the communicative function of language had nothing to do with syntax. And semantics has customarily been taught in sequence after syntax, or else not at all. Based upon graduate courses taught at Stanford University, this work seeks to redress this situation by building up syntactic and semantic aspects of grammatical theory in an integrated way from the start, under the assumption that neither is of linguistic interest divorced from the other. The particular theory presented, head-driven phrase structure grammar (HPSG) - so-called because of its central notion of the grammatical head - is an information-based (or 'unification-based' theory that has its roots in a number of different research programs within linguistics and neighboring disciplines such as philosophy and computer science.Thus HPSG draws upon and attempts to synthesize insights and perspectives from several families of contemporary syntactic theories, such as categorial grammar, lexical-functional grammar, generalized phrase structure grammar, and government-binding theory; but many of its key ideas arise from semantic theories like situation semantics and discourse representation theory, and from computational work in such areas as knowledge representation, data type theory, and formalisms based upon the unification of partial information.
Implementing autonomous crowds in a computer generated feature film

Implementing Autonomous Crowds in a Computer Generated Feature Film. (December 2005) John Andre Patterson, B.A., Boston University; M.S., The University of Texas at Austin Chair of Advisory Committee: Dr. Ergun Akleman The implementation of autonomous, flocking crowds of background characters in the feature film “Robots” is discussed. The techniques for obstacle avoidance and goal seeking are described. An overview of the implementation of the system as part of the production pipeline for the film is also provided.
Considerações sobre a Automação Residencial com o uso do protocolo ZigBee

Resumo—Automação residencial, ou Domótica, é a introdução de tecnologias no ambiente domiciliar com o objetivo de torná-lo mais inteligente. A relutância à adoção de um sistema destes reside na sua inviabilidade econômica, devido à falta de um protocolo eficaz para este tipo de operação. Com esse objetivo, foi projetado o ZigBee, um protocolo de comunicação de baixo consumo de energia e de alta fiabilidade da transmissão para redes de sensores sem fio. Foi analisado, na literatura especı́fica, as implementações de sistemas domóticos usando o ZigBee e, em todos, constatou-se que este protocolo atende às prospecções de um sistema de automação residencial acessı́vel.
Pengembangan Alat Peraga Pengenalan Tata Surya Bima Sakti Menggunakan Augmented Reality di PAUD

PAUD (Early Child hood Education) is the beginning of a process of education given in the early stages for children, which is spread in local region based location. The purpose for the establishment of PAUD is as a means of empowering the local communities around the region in order to prepare the children before entering formal school. As for the type of activities to stimulate the balance of growth and development of physical and spiritual , moral, physical and intelligence development , as well as language and communication . Augmented Reality is used as an innovation for the learning process of the children and an alternative replacing the conventional model. This study aims to help teachers / tutors for early childhood (PAUD) in in the form of marker that utilizes augmented reality technology, to introduce the milky way solar system. Abstrak PAUD (Pembelajaran Anak Usia Dini) merupakan salah satu pusat pendidikan yang diberikan untuk kelompok anak usia dini, dimana biasanya tersebar di lingkungan lokasi RW setempat. Tujuan didirikanya PAUD adalah sebagai sarana pemberdayaan masyarakat setempat dalam bidang pendidikan disekitar lokasi , guna mempersiapkan anak anak tersebut sebelum masuk ke jenjang pendidikan yang lebih tinggi Adapun jenis kegiatan yang dilakukan di PAUD guna merangsang keseimbangan perkembangan dan pertumbuhan jasmani dan rohani, yaitu, perkembangan moral dan agama, perkembangan fisik, perkembanagan kecerdasan, serta bahasa dan komunikasi. Teknologi Augmented Reality digunakan dalam penelitian ini sebagai upaya untuk pemberian materi pengajaran secara lebih visual dan inovatif kepada para peserta didik dan sebagai alternatif alat peraga yang bersifat konvensional. Penelitian ini bertujuan untuk membantu para guru / pengajar PAUD dalam hal bentuk alat peraga dalam bentuk marker memanfaatkan teknologi augmented reality, untuk mengenalkan tata surya bima sakti untuk anak usia dini di PAUD POSDAYA. Kata kunci: PAUD, alat peraga, augmented reality, tata surya
Hidden Markov Models: Estimation and Control

Hidden Markov Model Processing. - Discrete-Time HMM Estimation. - Discrete States and Discrete Observations. - Continuous-Range Observations. - Continuous-Range States and Observations. - A General Recursive Filter. - Practical Recursive Filters. - Continuous-Time HMM Estimation. - Discrete-Range States and Observations. - Markov Chains in Brownian Motion. - Two-Dimensional HMM Estimation. - Hidden Markov Random Fields. - HMM Optimal Control. - Discrete-Time HMM Control. - Risk-Sensitive Control of HMM. - Continuous-Time HMM Control.
Pair Grouping and Resource - dispersing Variables of Cognitive Task Complexity Effects on L2 Output

Although a great deal of research has been done to pro be the effects of task complexity variables on the specific features of L2 learners’ output along the resource-directing dimension of the Cognition Hypothesis (Robinson, 2001a, 2003, 2005), only a few studies (e.g. Gilabert, 2007; Robinson, 2001a, 2001b; Yuan & Ellis, 2003) have explored the effects of the resource -dispersing variables of task complexity on L2 output. Neither is there a rich literature on the effects of mutual interaction of these variables and task condition variables on the output. In addition, few studies have directly invol ved learners in oral tasks; on the contrary, most of the previous studies have focused on written tasks and the oral production resulting from the performances of those tasks. This study investigate d the effects of resource-dispersing variables and task condition variables on the complexity of L2 output. To this end, Preliminary English Test (PET) and an interview were
Artificial potential field based path planning for mobile robots using a virtual obstacle concept

The artificial potential field (APF) based path planning methods have a local minimum problem, which can trap mobile robots before reaching it's goal. In this study, a new concept using a virtual obstacle is proposed to escape local minimums occurred in local path planning. A virtual obstacle is located around local minimums to repel a mobile robot from local minimums. A sensor based discrete modeling method is also proposed for modeling of the mobile robot with range sensors. This modeling method is adaptable for a real-time path planning because it provides lower complexity.
Parallel grading of venous beading on transputer

Describes a parallel algorithm and its implementation on transputers for automated grading of venous beading in digitized ocular fundus images. The algorithm mainly consists of median filtering, thresholding, thinning, morphological closing, diameter measurement, fast Fourier transform (FFT) analysis and grading. Median filtering reduces the noise in the original image, thresholding roughly extracts the vein from the background, morphological closing fills holes in the vein, thinning obtains a centerline representation of the vein, diameter measurement and analysis are performed on each centerline branch, and the FFT analyzes the diameter functions. The magnitude spectrum of the diameter function is computed. Usually veins without beading exhibit only low frequency components while beaded veins have significantly more high frequency components. The sum of the high frequency magnitude can be a parameter to distinguish normal from beaded veins. All work has been done on a transputer using PC Trollius. <<ETX>>