Miracle-dz/UniFAR-FTUs huggingface dataset:
A sparse undersea sensor network decision support system based on spatial and temporal random field

In a sparse sensor network, the sensor detection regions are often not overlapped. The traditional instantaneous detection scheme is less effective due to the fact that targets may not be detected by any sensors at certain sampling instances. To detect the moving targets in a sparse sensor network, we have developed a new system suitable for multiple targets detection and tracking. An optimization based random field estimation method has been developed to characterize spatially distributed sensor reports without making any assumptions of their underlying statistical distributions. FBMM (Forward & Backward Mapping Mitigation) technology is developed to reduce the false detections resulted from the random field estimation. To further reduce the false detections, the refined random field is clustered using gap statistics. STLD (Spatial & Temporal Layering Discrimination) method is developed to individual clusters and true sensor detections are determined based on both spatial and temporal patterns. Simulation results have shown that our system can effectively detect multiple target tracks in a large surveillance region.
An Artificial Bee Colony Algorithm for Multiobjective Redundancy Allocation Problem in Repairable System

This paper proposed a multiobjective artificial bee colony algorithm (MOABC) to solve the reliability redundancy allocation problem (RAP) with multiple objectives, which introduces rank value and crowding distance in the greedy selection strategy, applies fast non-dominated sort procedure in the exploitation search and inserts tournament selection in the onlooker bee phase. The number of redundancy components is to be decided so as to maximize the availability and minimize the designing cost of the system simultaneously. It shows that the proposed algorithm can solve multiobjective redundancy allocation problem efficiently.
Computer Simulation of a Series Excited Synchronous Motor

This study attempts to build up a mathematical model for a type of series excited synchronous motor. This model, when used for simulation, is expected to yield the dynamic behavior of the system for typical cases such as asynchronous start-up, synchronizing, and synchronous operation. The model consists of a set of differential equations involving semiconductor switching with constant topology and variable parameters and utilizes phase variables. But an interconversion between phase variables and space phasors is required to take into account the magnetic saturation. The model is then used for a sample system to enable a comparison between experimental and computed results. This comparison is used to assess the accuracy, validity, and usefulness of the model. Furthermore, steady-state behavior of the scheme is explained by means of a simple analysis and illustrated by test results.
Improve Anti-spoofing Performance of Face Recognition-based Identity Authentication System by Real-time Facial Expression Recognition

Face recognition technology has been applied extensively in many flelds, such as biometric authentication. However, its application is not widely popularized since its anti-spooflng performance is very deflcient. A real-time facial expression recognition algorithm is proposed to realize face liveness detection in this paper, and the anti-spooflng performance can be efiectively enhanced. After the face and the preset facial expression are properly recognized, the algorithm requires the user to change to another randomly designated expression. According to the second facial expression recognition result, it can judge the face image whether is captured from a live face. The four facial expressions, which have high recognition rate and the user is willing to accept and easily represent, are selected to verify the validity of the algorithm. The experiment shows the algorithm can efiectively prevent the spoof attacks using photo, 3D model and video.
Hyperspectral compressive sensing

Compressive sensing (CS) is a new technique for reconstructing essentially sparse signals from a number of measurements smaller than the Nyquist-Shannon criterion. The application of CS to hyperspectral imaging has the potential for significantly reducing the sampling rate and hence the cost of the analog-to-digital sensors. In this paper a novel approach for hyperspectral compressive sensing is proposed where each band of hyperspectral imagery is sampled under the same measurement matrix. It is shown that the correlation between two neighboring band compressive sample values is consistent with that between two neighboring band pixel values. Our hyperspectral compressive sensing experimental results show that the proposed joint reconstruction method yields smaller reconstruction errors than the individual reconstruction method at various sampling rates.
Revisiting border conflicts between FrameNet and Construction Grammar: Annotation policies for the Brazilian Portuguese Constructicon

This paper proposes three policies for the annotation of constructions in FrameNet Brasil, and, potentially, in other FrameNets. Annotation policies are defined so as to both avoid uncontrolled redundancy in the database and respect the theoretical and methodological foundations of Frame Semantics and Construction Grammar. The first policy is concerned with the task of deciding whether a given piece of language should be analyzed as an instance of a construction, or as a valence pattern of a lexical unit; the second specifies criteria for the definition of Construct Elements; finally, the third policy regulates the interconnections between constructions and frames in the database.
A Dynamic Programming Solution of the Large-Scale Single-Vehicle Dial-A-Ride Problem with Time Windows

SYNOPTIC ABSTRACTThe single-vehicle dial-a-ride problem with time window constraints for both pick-up and delivery locations, and precedence and capacity constraints, is solved using a forward dynamic programming algorithm. The total distance is minimized. The development of criteria for the elimination of infeasible states results in solution times which increase linearly with problem size.
FLSAC: A new scheme to defend against greedy behavior in wireless mesh networks

The most commonly used medium access mechanism in wireless mesh networks is based on the CSMA-CA protocol. This protocol schedules properly the access to the medium among all the competing nodes. However, in a hostile environment, such as wireless mesh networks (WMNs), selfish or greedy behaving nodes may prefer to decline the proper use of the protocol rules in order to increase their bandwidth shares at the expense of the well-behaving nodes. In this paper, we focus on such misbehavior and in particular on the adaptive greedy misbehavior of a node in the context of WMN environment. In such environment, wireless nodes compete to gain access to the medium and communicate with a mesh router (MR). In this case, a greedy node may violate the protocol rules in order to earn extra bandwidth share upon its neighbors. In order to avoid its detection, this node may adopt different techniques and switch dynamically between each of them. To counter such misbehavior, we propose to use a fuzzy logic-based detection scheme. This scheme, dubbed FLSAC, is implemented in the MR-gateway to monitor the behavior of the attached wireless nodes and report any deviation from the proper use of the protocol. The simulation results of the proposed FLSAC scheme show robustness and its ability to detect and identify quickly any adaptive cheater. Copyright © 2009 John Wiley & Sons, Ltd. This paper presents a new fuzzy logic based scheme, dubbed FLSAC, to cope with MAC layer greedy behaviors in wireless mesh networks. The core functioning of FLSAC is based on a fuzzy logic controller that merges the observations of three different metrics to conclude whether a node is greedy or not. The advantage of FLSAC is its efficiency in detecting adaptive cheaters as compared to other existing schemes. Copyright © 2009 John Wiley & Sons, Ltd.
Adapting home service robot behaviors by experience reuse and interaction with humans

In this paper, we describe an approach to adapting home service robot behaviors by reusing the experience learned and interacting with humans. Experience is situation-based and is integrated into each behavior in a distributed way. Learning by examples is not only used to show the robot tasks but also to interact with humans. Object constraints in the demonstrated example are extracted by virtual object movement in image space. The experience gained for each individual behavior affects the whole action sequence of conducting a task. Inspired by the way of the prelinguistic infants learn and interact with their parents, demonstrations are used to interact with robots to adapt their behaviors. Experiments on real physical robot system have successfully tested approach.
Dynamic visual image modeling for 3D synthetic scenes in agricultural engineering

The dynamic visual image modeling for 3D synthetic scenes by using dynamic multichannel binocular visual image based on the mobile self-organizing network. Technologies of 3D modeling synthetic scenes have been widely used in kinds of industries. The main purpose of this paper is to use multiple networks of dynamic visual monitors and sensors to observe an unattended area, to use the advantages of mobile network in rural areas for improving existing mobile network information service further and providing personalized information services. The goal of displaying is to provide perfect representation of synthetic scenes. Using low-power dynamic visual monitors and temperature/humidity sensor or GPS installed in the node equipment, monitoring data will be sent at scheduled time. Then through the mobile self-organizing network, 3D model is rebuilt by synthesizing the returned images. On this basis, we formalize a novel algorithm for multichannel binocular visual 3D images based on fast 3D modeling. Taking advantage of these low prices mobile, mobile self-organizing networks can get a large number of video from where is not suitable for human observation or unable to reach, and accurately synthetic 3D scene. This application will play a great role in promoting its application in agriculture.
From a Racemate to a Single Enantiomer: Deracemization by Stereoinversion

The stereoinversion of one enantiomer into its mirror-image counterpart within a racemate furnishes a single stereoisomeric product in 100 % theoretical yield. This extremely efficient type of deracemization, whereby substrate and product possess an identical chemical structure, can be achieved by using bio- or chemo-catalysts or combinations thereof and is applicable to secondary alcohols, amines and α-substituted carboxylic acids. Special emphasis is devoted to the theoretical background of the one-pot, single-step deracemization of sec-alcohols.
Multipurpose community telecenters in rural Bangladesh

This paper reviews and analyzes the development of Multipurpose Community Telecenters (MCTs) in rural Bangladesh. The core of the paper builds on bringing together relevant literature review and field study. The findings of the paper suggest that the development of telecenters in Bangladesh is still in its formative stage. MCTs have fared well in improving rural people’s livelihood at large, and the emerging middle class have been the major beneficiaries. Evidence suggests that the telecenters did not work much for the hardcore poor. The paper argues that MCTs as knowledge hubs have facilitated not only narrowing the digital divide but also contributing to the socio-economic development of rural Bangladesh.
Resolving Overlapping Ambiguities and Selecting Correct Word Sequence in Chinese Using Internet Corpus

We propose an effective method for resolving overlapping ambiguities found in sentential analyses of Chinese. It detects the ambiguities by a FBMM scanner, resolves them by using the relevancy value (RV), a statistical measure for word co-occurrences taken from textual data on the Internet, and selects the correct word sequence for the sentence being analyzed. We use contextual information also when RVs are considered not sufficient to resolving the ambiguities and choosing the correct word sequence. An experiment for selecting the desired sequences shows a success rate of about 85%. This result is convincing and far better than those in other comparable studies.
Analysis of Web Response Time on Queue Managements and Transmission Latency in Congested Network

In this paper, we analyze web response time depending on queue managements and transmission latencies in highly congested network situation. Under FIFO scheme, the response times are for three different sizes of queue are almost the same, but the response time increases as traffic intensity increases. The performance between different queue sizes shows more different in 90% and 98% traffic intensity than in 80% traffic intensity. Especially the difference becomes bigger in short latency case than long latency case. Under RED scheme, three differently tunned RED schemes do not impact on the response time when the size of queue is relatively large. When the queue size becomes smaller, the response time of the differently tunned RED schemes becomes different for short latency case while the response times are almost same for long latency case. When comparing FIFO and RED schemes under same size of queue, RED scheme shows less response time than that of FIFO for the long latency case in high traffic intensity.
Study on the Bayesian Networks Decomposition by the Improved Multi-Linked Tree Algorithm

Aiming at the difficulty of Bayses Network construction, the C_BN (Bayesian networks for quality problem case) decomposition path and level control method is discussed. And then the implementation algorithm using the improved multi-linked tree is carried out. The result of decomposition is standardized and the knowledge base for SBN (sub Bayesian networks) is built which is the foundation for the C_BN reuse in Bayesian networks construction.
Frame Relay Networks: Specifications and Implementations

From the Publisher: In this Signature Edition of Frame Relay Networks, Uyless Black gives you straightforward data, standards, and conformances, plus invaluable comparisons with competing technologies. You get detailed FRN (Frame Relay networks) design schemes, expert routing and bridging advice, and unequaled explanations of the way the technology works alone and in combination with other systems.
Symmetrically recoded quaternary signed‐digit arithmetic using a shared content‐addressable memory

A simple parallel optical computing technique using recoded quaternary signed‐digit arithmetic is presented in this paper. An efficient shared content‐addressable memory‐based optical implementation that employs a fixed number of minterms for any operand length is developed. This technique requires the minimum number of minterms compared with similar previously reported techniques. © 1996 Society of Photo−Optical Instrumentation Engineers.
An information system for operations management: co‐ordination and integration

Wide implementation of computer‐based operations management systems now faces a new information problem. In many manufacturing companies the management system consists of several disconnected subsystems. Each subsystem uses its own database, which is physically situated in a PC of a specific manager. Each subsystem represents one or several managerial problems, which are being solved regularly at given intervals of time. The multiple data transfers between the databases are performed manually, and this reduces the efficiency of the system and the possibilities for its development. Implementation of file servers only place databases under one roof but does not automatically provide transfer of data. To unite the system effectively in a network environment, a scheduling model has been developed, which uses an information model of the operations management process and a system clock as a basis for its functioning.
A novel approach to mobile-terminal positioning using single array antenna in urban environments

Estimating the position of mobile terminals is a key problem in many wireless applications. The paper proposes a novel mobile-terminal positioning approach using a single array antenna in multipath environments. We estimate the location of a terminal by combining experimental results using an array antenna and ray-tracing analysis results with highly accurate, three-dimensional terrain data. In particular, we focus on the directions of arrival (DOAs) and angular spreads (ASs) of the received signals in the analysis and accurately estimate the location of the terminal by comparing the DOAs and ASs of the received signals obtained experimentally with those obtained by the ray-tracing analysis. We show the effectiveness of the proposed method through actual experimental data.
The accuracy of weather forecasts for Melbourne, Australia

An analysis of the accuracy, and trends in the accuracy, of medium‐range weather forecasts for Melbourne, Australia, is presented. The analysis shows that skill is evident in forecasts of temperature, rainfall, and qualitative descriptions of expected weather up to 7 days in advance. The analysis also demonstrates the existence of a long‐term trend in the accuracy of the forecasts. For example, Day‐3 forecasts of minimum temperature in recent years (average error ∼1.6 °C) are as skilful as Day‐1 forecasts of minimum temperature in the 1960s and 1970s, whilst Day‐4 forecasts of maximum temperature in recent years (average error ∼2.0 °C) are more skilful than Day‐1 forecasts of maximum temperature in the 1960s and 1970s. It is suggested that this trend may be largely attributed to: a combination of (1) enhancements in the description of the atmosphere's initial state provided by remote sensing and other observational technologies; (2) advances in broad‐scale numerical weather prediction (NWP); and (3) improvements in the forecast process that are supported by good organizational management, including developing and implementing new prediction techniques, and careful succession planning. Copyright © 2008 Royal Meteorological Society
Spoken word recognition using vocal tract shapes

The estimation method of vocal tract shapes using an adaptive inverse filter for the discrete time signal has been proposed by T. Nakajima et al. (1978). In the present work, the authors use the adaptive inverse filter to autocorrelation coefficients to reduce the computation time. The estimated vocal tract shapes are used for the recognition experiment as input parameters. Speaker-independent word recognition results demonstrate the effectiveness of the method. In the experiment, dynamic programming matching is used. Experimental results show that the recognition rate using vocal tract shapes is higher than when using LPC (linear predictive coding) spectra. <<ETX>>
Performance Evaluation of Lookup Mechanisms in Structured and Unstructured P2P Networks under the Impacts of Churn

This Master thesis investigates the performance of the lookup mechanisms in structured and unstructured Peer-to-Peer (P2P) networks under the impacts of churn. The considered performance metrics include the distance of matched lookups, bandwidth consumption and latencies. We have selected to study Chord, Kademlia and GIA, because these selected P2P networks possess distinctive characteristics. Chord is one of the first structured P2P networks that implements Distributed Hash Tables (DHTs). Kademlia is a more recent structured P2P network, with the XOR mechanism for improving distance calculation. GIA is an unstructured P2P network which has been proposed as an alternative to structured P2P networks based on Distributed Hash Tables. It implements a dynamic topology adaptation algorithm, flow control and biased random walks. The hypothesis was that unstructured P2P network such as GIA could operate better than structured networks such as Chord and Kademlia. Our research involved a series of simulation studies using two network simulators OverSim and OMNeT++. The simulation was also used to investigate the influence of iterative and recursive routing methods, scalability, and resiliency issues, on the performance of the file lookup mechanisms in the selected P2P networks. The results show that, in considered scenarios, GIA performs better than structured P2P networks, especially in resolving file lookups with a match that is closer to the source peer, thus conserving bandwidth. Table of
Compact Dipole Antenna for Terrestrial Digital Multimedia Broadcasting Service

A compact dipole antenna for the terrestrial digital multimedia broadcasting (TDMB) application is presented. The length of the antenna is about 0. 06λ at the TDMB resonance frequency of 190 MHz. Miniaturization of the antenna is achieved by using meander structures and lumped elements. The proposed antenna has two resonance frequencies and covers the TDMB band from 174 MHz to 216 MHz in Korea. The antenna has good impedance bandwidth and radiation characteristics for the TDMB. The experimental results of the designed dipole antenna are presented and analyzed.
Evolutionary Conservation and Divergence of Genes Encoding 3-Hydroxy-3-methylglutaryl Coenzyme A Synthase in the Allotetraploid Cotton Species Gossypium hirsutum

Polyploidization is important for the speciation and subsequent evolution of many plant species. Analyses of the duplicated genes produced via polyploidization events may clarify the origin and evolution of gene families. During terpene biosynthesis, 3-hydroxy-3-methylglutaryl coenzyme A synthase (HMGS) functions as a key enzyme in the mevalonate pathway. In this study, we first identified a total of 53 HMGS genes in 23 land plant species, while no HMGS genes were detected in three green algae species. The phylogenetic analysis suggested that plant HMGS genes may have originated from a common ancestral gene before clustering in different branches during the divergence of plant lineages. Then, we detected six HMGS genes in the allotetraploid cotton species (Gossypium hirsutum), which was twice that of the two diploid cotton species (Gossypium raimondii and Gossypium arboreum). The comparison of gene structures and phylogenetic analysis of HMGS genes revealed conserved evolution during polyploidization in Gossypium. Moreover, the expression patterns indicated that six GhHMGS genes were expressed in all tested tissues, with most genes considerably expressed in the roots, and they were responsive to various phytohormone treatments and abiotic stresses. The sequence and expression divergence of duplicated genes in G. hirsutum implied the sub-functionalization of GhHMGS1A and GhHMGS1D as well as GhHMGS3A and GhHMGS3D, whereas it implied the pseudogenization of GhHMGS2A and GhHMGS2D. Collectively, our study unraveled the evolutionary history of HMGS genes in green plants and from diploid to allotetraploid in cotton and illustrated the different evolutionary fates of duplicated HMGS genes resulting from polyploidization.