Miracle-dz/UniFAR-FTUs huggingface dataset:
ADVANCEDSCHEDULINGALGORITHMSFORSUPPORTINGDIVERSE QUALITYOFSERVICESINIEEE802.16WIRELESSMETROPOLITAN AREANETWORKS

The inter-cell interference in the downlink for IEEE 802.16 wireless metropolitan area network (MAN) mainly depends on the distance between the base station (BS) and the subscriber station (SS). In order to improve the spectrum efficiency and make the frequency reuse factor approach 1.0, the wireless scheduling for supporting the diverse quality of service (QoS) should consider the other-cell interference. In this paper, the wireless packet scheduling algorithms are based on the jointly considering inter-cell interferences, service status, and channel conditions. The advanced scheduling algorithms are proposed for Unsolicited Grant Service (UGS), real time polling service (rtPS), non real time polling service (nrtPS), and best effort (BE) services. Numerical results reveal that the proposed interference coordination based scheduling algorithm improves the overall network throughput, provides an efficient user throughput, and guarantees the diverse QoS requirements.
Contact-probe-based excitation method for mine detection: application on a VS1.6 Italian landmine

Probe force and ground surface velocity measurements are obtained using laser Doppler vibrometry for one specific excitation contact point on the casing of the VS1.6 Antitank landmine for surface laid and buried scenarios. Probe contact force and ground velocity measurements were taken over a 1 KHz bandwidth (0 Hz to 1 KHz). Combined velocity magnitude and phase images are provided as laboratory results. The proposed excitation technique has the potential for significantly greater signal bandwidth and amplitude compared to remote acoustic and seismic excitation strategies.
Vibration suppression of multi-modal translational motion using a rotational actuator

In recent the work of Wan et al. it was shown that a rotational torque actuator with attached eccentric mass can be used to globally stabilize a one-mode translational oscillator. A family of globally stabilizing nonlinear feedback control laws was derived by using partial feedback linearization and integrator backstepping. These control laws accounted for the strongly nonlinear coupling between the rotational motion of the eccentric mass and the translational motion of the oscillator. In the present paper, we extend these results to address the problem of stabilizing the translational motion of multi-mode systems with a rotational actuator. The controller synthesis methodology extends the previous work to address a system involving six state variables. Detailed numerical simulation of the closed-loop system illustrates the angular position of the eccentric mass and the harmonic content of its motion in suppressing both modal frequencies. <<ETX>>
Research on the Integration Method for Heterogeneous Database Based on Ontology

With the establishment of more and more management information systems in the enterprises, many heterogeneous databases have been produced, resulting in the phenomenon of the information island. This paper puts forward a method based on ontology to integrate the heterogeneous databases and presents the framework of the integration method. In this framework A method based on relational database is presented to build the mixed ontology structure Common VocabularyLocal Ontology. The mixed ontology structure is used to establish the semantic web for enterprises. This novel approach exploits the multithreading combined with semantic web to implement parallel retrieval on an integrated platform. The application that this prototype system of the integration method has been implemented in a research institute verifies the method could effectively analyze the user's intention, thereby improving the reuse of knowledge.
Reluctant Mathematician: Skills-Based MOOC Scaffolds Wide Range of Learners

The University of Wollongong’s first locally developed and hosted Massive Open Online Course (MOOC) “The Reluctant Mathematician” was run in the last four weeks of our summer holiday, prior to Autumn session in 2014. It was developed to lift maths skills at our university and also in the community – where maths skills continue to be a challenge and in some cases a source of stress. Internally the MOOC provided an alternative online way to support students who struggle with mathematics at university level, as a complement to the existing face to face small group workshops and individual consultations. This paper describes the aims, rationale of the learning design, and evaluation of the MOOC. Data sources include enrolment/demographic data, analytics data of student patterns of use, assignment submission data, and qualitative feedback via online forms. It provides some support for recent non-binary definitions of MOOCs proposed by Lane (2012), and discusses the importance of discipline specific issues in the design of the MOOC, such as scaffolding learning experiences to address high-stress and low self-efficacy in maths learners.
Parallel-in-time implementation of transient stability simulations on a transputer network

The most time consuming computer simulation in power system studies is the transient stability analysis. Parallel processing has been applied for time domain simulations of power system transient behavior. In this paper, a parallel implementation of an algorithm based on Shifted-Picard dynamic iterations is presented. The main idea is that a set of nonlinear Differential Algebraic Equations (DAEs), which describes the system, can be solved by the iterative solution of a linear set of DAEs. The time behavior of the linear set of differential equations can be obtained by the evaluation of the convolution integral. In the parallel-in-time implementation of the proposed algorithm, each processor is devoted to the evaluation of the complete set of variables relative to each time step. The quadrature formula, adopted for the integral evaluation, can be easily parallelized by using a number of processors equal to the number of time steps. The algorithm, implemented on a transputer network with 32 Inmos T800/20 adopting a uni-directional ring topology, has been tested on standard power systems. >
New concepts in Airborne and Ground Surveillance Systems

Modern Surveillance Operational Scenarios require the development of complex Airborne and Ground Surveillance Systems which allow for: reduction in the enter-into-service leadtime; autonomous mission and identification; capability of supporting dual missions (dual-use) and interoperability in a distributed communication network. The main techologies that are involved are: Improved Situation awareness and C3 systems with integration of satellite informations; Wireless heterogeneous sensor network; Advanced sensors (E/O IR; acoustic, CBRNE, radar, SAR, Hyperspectral.); use of micro / mini UAVs; Employment of Unmanned Groud Vehicles (UGV) and with particular care given to the integration of human/unmanned system. These technologies will have a san impact to: increased safety of the citizens and infrastructures; increased safety of the security teams and operators during crisis management; more efficient, rapid and coordinated operations
PASSWORD CUEING WITH CUE(INK)BLOTS 1

People forget passwords daily, and this leads to frustration and potential loss of revenue commercially. Mechanisms for proving identity in the face of forgotten passwords are mostly unsatisfactory, because they are so insecure. The problem is that it is difficult to handle password replacements efficiently. One of two people could be requesting the replacement: the legitimate user or a potential intruder. Unfortunately, the system doesn’t have any way of knowing which it is. Some systems make an effort to confirm identity by using one or more challenge questions. The user provides the answers to these questions at enrolment, and the rationale is that if the requestor can provide the same answer later, it must be the same user. Of course this assumption is flawed because the answers could be discovered or known by an intruder. An alternative to challenge questions, explored in this paper, is the use of an abstract image to elicit a textual description. This description could be used as the password, or as an alternative to the challenge questions. We report on an experiment which tested images as cues.
SOURCE SPECIFIC QUERY REWRITING AND QUERY PLAN GENERATION FOR MERGING XML-BASED SEMISTRUCTURED DATA IN MEDIATION SYSTEMS

To my parents, who have always striven to give their children, the best in life iv ACKNOWLEDGMENTS I express my sincere gratitude to my advisor, Dr. Joachim Hammer, for giving me the opportunity to work on this challenging topic and for providing continuous guidance and feedback during the course of this work and thesis writing. I am thankful to Dr. Sumi Helal and Dr. Sanguthevar Rajasekaran for agreeing to be on my supervisory committee. A special thanks goes to my colleague Rajesh Kanna, who assisted me in the initial stages of this work. I am also grateful to all the other members of IWiz research group, Charnyote Pluempitiwiriyawej, Anna Teterovskaya and Ramasubramanian Ramani. It was indeed a great experience to work with them. I especially wish to thank my friends Vidyamani and Latha, for all their support and help throughout my sta y here at the University of Florida. I am also grateful to my roommate Unnat who helped me proofread my thesis document and give it a proper shape. I would like to acknowledge the efforts put in by Sharon Grant for making the Database Center a truly great place to work. Special thanks to John Bowers and Nisi for being there, always! I would like to take this opportunity to thank my parents and my brother, for their continued and encouraging support throughout my period of study here and especially in this endeavor.
Future planning and evaluation for automated adaptive minehunting: a roadmap for mine countermeasures theory modernization

This paper presents a discussion of U.S. naval mine countermeasures (MCM) theory modernization in light of advances in the areas of autonomy, tactics, and sensor processing. The unifying theme spanning these research areas concerns the capability for in situ adaptation of processing algorithms, plans, and vehicle behaviors enabled through run-time situation assessment and performance estimation. Independently, each of these technology developments impact the MCM Measures of Effectiveness1 [MOE(s)] of time and risk by improving one or more associated Measures of Performance2 [MOP(s)]; the contribution of this paper is to outline an integrated strategy for realizing the cumulative benefits of these technology enablers to the United States Navy's minehunting capability. An introduction to the MCM problem is provided to frame the importance of the foundational research and the ramifications of the proposed strategy on the MIW community. We then include an overview of current and future adaptive capability research in the aforementioned areas, highlighting a departure from the existing rigid assumption-based approaches while identifying anticipated technology acceptance issues. Consequently, the paper describes an incremental strategy for transitioning from the current minehunting paradigm where tactical decision aids rely on a priori intelligence and there is little to no in situ adaptation or feedback to a future vision where unmanned systems3, equipped with a representation of the commander's intent, are afforded the authority and ability to adapt to environmental perturbations with minimal human-in-the-loop supervision. The discussion concludes with an articulation of the science and technology issues which the MCM research community must continue to address.
An analysis of internet topology via traceroute sampling

Abstract Internet topology analyses have been well investigated for years; however, previous research was always based on large‐scale censuses of all the Internet routers around the world. To reduce census efforts but still to figure out the Internet topology, we propose a traceroute sampling process to quickly observe Internet topology in this paper. In the process, we first chose four sets of IP addresses: 191 web sites of Network Information Centers (NICs), 227 government portal sites, 2004 Fortune Global 500 corporations’ web sites, and a set of 10,000 randomly chosen IP addresses as samples, respectively. Then, we used a traceroute‐based utility to probe and collect all the routing information about the IP addresses and their associated links, from our laboratory to all the chosen IP addresses, into our Internet topology database. Through topological analysis of the database, we confirmed that the topological metrics of our probed Internet are similar to the analytical results found by previous Internet router censuses. Besides, the small‐world and scale‐free properties still exhibit in our probed Internet topology, and the results confirm the validity of our traceroute sampling on the Internet topology observation.
Constructivist Learning Environments: Case Studies in Instructional Design

Inhoudsopgave : Foreword : minds in the 'hood / David N. Perkins -- Introduction : what is a constructivist learning environment? / Brent G. Wilson -- Seven goals for the design of constructivist learning environments / Peter C. Honebein -- An interpretation construction approach to constructivist design / John B. Black, Robert O. McClintock -- Tutoring for transfer of technical competence / Sherrie P. Gott, Alan Lesgold, Ronald S. Kane -- Case-based teaching and constructivism : carpenters and tools / Christopher K. Riesbeck -- Rich environments for active learning in the higher education classroom / Joanna C. Dunlap, R. Scott Grabinger -- Developing statistical reasoning through simulation gaming in middle school : the case of "the vitamin wars" / Helena P. Osana, Sharon Derry, Joel R. Levin -- From constructivism to constructionism : learning with hypermedia/multimedia rather than from it / David H. Jonassen, Jamie M. Myers, Ann Margaret McKillop -- Epistemic fluency and constructivist learning environments / Donald Morrison, Allan Collins -- Implementing Jasper immersion : a case of conceptual change / Michael F. Young, Bonnie K. Nastasi, Lynette Braunhardt -- Problem based learning : an instructional model and its constructivist framework / John R. Savery, Thomas M. Duffy -- Constructivism in the collaboratory / Daniel C. Edelson, Roy D. Pea, Louis Gomez -- The evolution of constructivist learning environments : immersion in distributed, virtual worlds / Chris Dede -- Mapping more authentic multimedia learning environments / Brockenbrough S. Allen, Robin T. Chiero, Robert P. Hoffman -- Alternative assessment for constructivist learning environments / Thomas C. Reeves, James R. Okey -- Instructional design and development of learning communities : an invitation to a dialogue / Xiaodong Lin . [et al.] -- A constructivist sampler / May Lowry . [et al.]
Biology Databases for the New Life Sciences

SUMMARY Hundreds of publicly-accessible biology data sites have appeared in the last twenty years. Sequence, microarray, and protein structure data are now stored in large complex databases. Bioinformatics, the computational manipulation of data to derive meaningful information, has emerged as a distinct field. Bioinformatics combines the subject expertise of the biologists with the data handling expertise of the computer scientists. There are information-science issues associated with these data: the databasing of information, the heterogeneity of the data, the complexity of the databases, the range of audiences being served, and the emergence of database standards. Librarians can make contributions in this developing area.
Delay-time evaluation in ED MOS logic LSI

An explicit formulation of the transient response of ED MOS logic gates is presented, including load conditions and driving waveforms. Defining delays as the time required by the current imbalance of the active inverter to charge or discharge the output load, with respect to physical reference levels, rise and fall mode delay times are obtained in an explicit formulation, with separate contributions due to fan-out and fan-in. Results are applied to ring oscillators and to depletion-load inverter chains with different configuration ratio values and are compared with SPICE simulations. With good agreement obtained, optimal structures with a low value of the configuration ratio can be defined. Analysis of propagation delay times in NOR, NAND, and transmission gates is given, allowing easy implementation of this model into logic simulators.
VLSI efficient discrete-time cellular neural network processor

Typical VLSI implementations of discrete-time cellular neural networks (DTCNN) incorporate costly hardware to implement the basic DTCNN cell, resulting in a small grid size that needs to be cascaded with many other chips for processing images of any practical size. In the paper, a low-cost DTCNN cell that can be incorporated into a single chip in large numbers has been proposed. Memory bandwidth considerations show that 256 DTCNN cells can be incorporated into a single chip DTCNN processor to compute a 256 /spl times/ 256 image at 30 frames per second. Techniques based on rectangular-shaped cell grids for use with video memory have been proposed to satisfy the memory bandwidth requirements. The architecture of the proposed DTCNN processor is also capable of supporting the flexible grouping of basic cells. In addition, the processor, which is capable of supporting the flexible grouping of cells, can be cascaded in a highly scalable manner to facilitate the processing of larger images at high speed.
A latent heat nudging scheme for the assimilation of precipitation data into an operational mesoscale model

Surface precipitation‐rate estimates derived from radar data are potentially of considerable value to high‐resolution Numerical Weather Prediction (NWP) models. This paper describes a scheme developed to assimilate precipitation rates derived from the UK weather radar network into the UK Met. Office Mesoscale Model, with the aim of improving the analysis and forecast of precipitation. It is based on ‘latent heat nudging’, in which the model profiles of latent heating are scaled by the ratio of observed and model precipitation rates. This causes the model to adjust so that the diagnosed precipitation rate agrees more closely with observations.
Mandarin emotion recognition in speech

Humans interact with others in several ways, such as speech, gesture, eye contact etc. Among them, speech is the most effective way of communication through which people can readily exchange information without the need for any other tool. Emotions color the speech, and can make the meaning more complex and tell about how it is said. A Mandarin speech based emotion classification method is presented. Five basic human emotions, anger, boredom, happiness, neutral and sadness, are investigated. The features extracted include 16 LPC (linear predictive cepstrum) coefficients and 20 MFCC (Mel-frequency cepstral coefficients) components, and the presented recognizer is based on two statistical pattern recognition techniques, the minimum-distance method and the nearest class mean method. For minimum-distance emotion recognition, an average accuracy of 79.1% is obtained. For the nearest class mean emotion recognition, higher accuracy of 89.1% is achieved.
Amplitude-independent chaotic synchronization and communication

One problem with using chaotic synchronization to communicate is that the response system is nonlinear, so that any variation in the amplitude of the chaotic driving signal degrades synchronization of the response system to the drive system. In this work it is shown that it is possible to design a response system that reproduces a scaled version of the chaotic driving signal when the drive signal is attenuated or amplified. A simple communications system is demonstrated to show that this type of synchronization is useful, and the effects of noise on the communications system are studied.
Utilization of the dynamic laser scanning technology for monitoring, locating and classification of the city trees.

One of the significant issues related to the city trees is the transmission overhead cables damages caused by the trees growth that would sometime generate power disconnections. Currently the city progress monitoring technologies have three major challenges. Firstly, the spatial resolution of the collected data is critical factor in all monitoring technologies that would reflect the utilization of the extracted data and physical consistency with the ground features. Secondly, the temporal resolution where in all progress monitoring or change detection technologies the duration and time coverage is a basic for validating extracted features. Finally, the human resources and the operational capital is also primary cost when monitoring city trees is needed on a regular basis. Therefore, the research is intended to verify the feasibility of allocating the trees that overheads the electrical cables especially where the transmission overhead cables passing the forests. The area of interest is extended along the highways where most of the overhead cables are placed. The research is utilizing the dynamic laser scanning system for progress monitoring and spatially locating the well recognized and accessed city trees.
Form-free measurement for complex surface without given mathematical model

Traditional measurement mode cannot measure the geometries without theoretical forms and parameters. Form-free measurement mode is presented to measure those geometries with high accuracy and efficiency. Critical techniques such as geometrical information extraction, form recognition and deviation assessment are analyzed. The automatic adaptive sampling strategy based on the local geometrical information is discussed. Six arithmetic operators for fast form recognition are derived. The probe radius compensation method is introduced. And deviation assessment based on Chebyshev approximation is analyzed. Form-free measuring mode is an evolutional innovation on precision measurement technologies and instruments.
A set of measures of centrality based upon betweenness

A family of new measures of point and graph centrality based on early intuitions of Bavelas (1948) is introduced. These measures define centrality in terms of the degree to which a point falls on the shortest path between others and there fore has a potential for control of communication. They may be used to index centrality in any large or small network of symmetrical relations, whether connected or unconnected.
Embedding Parameters Based Distinguish between Normal and Epileptic EEG Using Artificial Neural Network

The embedding parameters of electroencephalogram (EEG) time series, i.e., the embedding dimension and delay time, are used together as the input features of artificial neural network for distinguishing between normal and epileptic EEG time series. Cao’s method and mutual information method are applied for computing the embedding dimension and delay time of normal and epileptic EEG time series, respectively. The probabilistic neural network (PNN) is used in this paper for distinguishing between normal and epileptic EEG time series. The results of the simulation show that the overall accuracy as high as 100% can be achieved by using the method proposed in this paper, and that the accuracy obtained based on the both parameters is better than that obtained based on each of the two parameters respectively.