Miracle-dz/UniFAR-FTUs huggingface dataset:
Software metric classification trees help guide the maintenance of large-scale systems

The 80:20 rule states that approximately 20% of a software system is responsible for 80% of its errors. The authors propose an automated method for generating empirically-based models of error-prone software objects. These models are intended to help localize the troublesome 20%. The method uses a recursive algorithm to automatically generate classification trees whose nodes are multivalued functions based on software metrics. The purpose of the classification trees is to identify components that are likely to be error prone or costly, so that developers can focus their resources accordingly. A feasibility study was conducted using 16 NASA projects. On average, the classification trees correctly identified 79.3% of the software modules that had high development effort or faults. <<ETX>>
SFDR-bandwidth limitations for high speed high resolution current steering CMOS D/A converters

Although very high update rates are achieved in recent publications on high resolution D/A converters, the bottleneck in the design is to achieve a high spurious free output signal bandwidth. The influence of the dynamic output impedance on the chip performance has been analyzed and has been identified as an important limitation for the spurious free dynamic range (SFDR) of high resolution DAC's. Based on the presented analysis an optimized topology is proposed.
Finding the Shortest Route between Two Points in a Network

A new method is proposed for finding the shortest route between two points in an interconnected network. The shortest route is found by investigating a selection of routes from both the starting point and the terminal point. The selection of routes is decided dynamically by extending one by one the routes which have currently covered the least distance. Once a complete through route has been found, it has to be made certain that it is the minimum. The new method appears to be more efficient than alternative approaches to the problem through linear or dynamic programming. Some applications of the technique to scheduling and other problems are briefly described.
Automatic Vessel Segmentation Based on Region Growing

Blood vessel segmentation is the fundamental part of many retinopathy diagnoses procedure. In recent years, there has been a substantial amount of work exploring how to utilize the computer analysis of retinal images to automated vessel segmentation. In this paper, we propose a new method based on region growing approach. Firstly, a retinal vessel image is preprocessed by Directional local-contrast filters and LoG-Gabor filter to enhance the vessels’ contrast. Then, the region growing method is applied to extract retinal vessels. Comparisons are conducted on the publicly available VIO dataset. Experimental results show that the proposed method reaches the average accuracy of 97.25%, 97.35% and 97.62% on raw image, preprocessed image and mosaic image sets, respectively.
Digital Technologies and the Museum Experience: Handheld Guides and Other Media

Chapter 1 Foreword Chapter 2 Introduction: Mobile, Digital, and Personal Part 3 Part I. Defining the Context: Three Perspectives Chapter 4 Chapter 1. The Exploded Museum Chapter 5 Chapter 2. Learning with Digital Technologies Chapter 6 Chapter 3. Designing Mobile Digital Experiences Part 7 Part II. Delivering Potential Chapter 8 Chapter 4. Audibly Engaged: Talking the Walk Chapter 9 Chapter 5. Mobile Multimedia: Reflections from Ten Years of Practice Chapter 10 Chapter 6. Improving Visitor Access Chapter 11 Chapter 7. Structuring Visitor Participation Chapter 12 Chapter 8. Designing for Mobile Visitor Engagement Chapter 13 Chapter 9. Cross-Context Learning Chapter 14 Chapter 10. Interactive Adventures Chapter 15 Chapter 11. Afterword: The Future in our Hands? Putting Potential into Practice
The Throughput Rate of Interchangeable Parallel Two-Stage Tandem Queue with Correlated Service Times

Parallel two-stage tandem queueing system with no intermediate waiting room is considered. An arriving customer according to a homogeneous Poisson process, when his ﬁrst stage service is ﬁnished, can enter both of the second stage channels. We call this model as an interchangeable queueing system. The service times are not independent but depend upon each other. It is assumed that their service distribution is the bivariate exponential distribution of Marshall and Olkin. The standard representation of the multivariate exponential distribution of Marshall and Olkin is derived and the throughput of this system is obtained using a matrix-geometric approach. Finally, comparison with the throughput of an ordinary parallel two-stage tandem queueing system is discussed.
Fast look-ahead pruning strategies in continuous speech recognition

The author presents two fast anticipatory pruning schemes that have been investigated within the frame of a continuous speech recognition system based on HMM (hidden Markov modeling) and Viterbi decoding. Both algorithms rest on a coarse acoustic analysis in five broad phonetic categories. The first strategy interacts with the phoneme transitions during the search process, while the second takes account of lexical constraints by operating at the word level. Experiments have been performed on a thousand-word continuous speech task with no language model. Results show that a significant computational reduction is feasible without impairing the overall accuracy. <<ETX>>
Orthogonal sequency division multiplexing with power control for indoor broadband radio services

The performance of an indoor wireless orthogonal sequency division multiplexing (OSDM) system for broadband data transmission operating in the 2.4 GHz ISM band is investigated. The channel is modelled as a Rayleigh fading one with exponential power delay profile and different average delay spreads. It is shown that using OSDM technique with power control, the performance and the capacity of the system can greatly be improved. This technique can easily be combined with the DS-CDMA capabilities and the RAKE reception to adapt to various channel parameters and data rates.
Inhibition of return is mediated by object identity

I Chapter IIntroduction . 2 Inhibition ofreturn . 4 Objectand location-based IOR . 7 Neural properties ofIOR . 9 IOR in working memory . 12 Long-term IOR . 15 IOR and action affordances . 19 Overview . 22 Chapter 2Long-term IOR . 23 Experiment 1 . 26 Experiments 2a & 2b . 31 General discussion . 38 Chapter 3Visual field asymmetries in long-term IOR . 42 Experiments 3a & 3b . 46 Experiments 4a & 4b . 53 General discussion . 58 Chapter 4Does object-based IOR operate on identity or category? 62 Experiments 5a, 5b, & 5c . 66 Experiments 6a & 6b . 75 Experiments 7a & 7b . 80 Experiments 8a & 8b . 83 Experiment 9 . 87 General discussion . 90 Chapter 5Is IOR influenced by action-related properties of objects? 96 10b &]Oc . Experiments 10a . 101 , , . General discussion 119 . Chapter 6General discussion 121 . Implications ofidentity-basedIOR . 125 Relationship between object-based IOR and memory . 127 IOR and action affordances . 130 Summary and conclusions . 131 References . 132
Statistical estimation of crosstalk for cable bundles

Predicting electromagnetic interference problems for cable bundles early in the design stage is of significant value for both automotive and other industries. Effective methods are needed for predicting interference when little design information is known. The random variation in parameters like wire position in the bundle require that statistical variations be taken into account. In the first part of this thesis, a method to analytically predict the “reasonable worst-case crosstalk” within a cable bundle is proposed. The method uses the per-unitlength LC matrices associated with the cross-sectional geometry of the bundle to generate probability a distribution function for mutual inductance and capacitance between wires within the bundle. A probability function for the effective capacitance and inductance associated with a cable configuration can then be determined by dividing the harness into segments, where wire position changes from segment to segment. Crosstalk can be decomposed into inductive coupling and capacitive coupling components and can be estimated separately using the effective inductance and capacitance information. In the second part of this thesis, a fast simulation method to estimate the crosstalk in cable bundles is proposed. The method makes use of the T-parameter (Transfer parameter) matrix and can be implemented with a simple MATLAB script. This simulation method is more than 200 times faster than traditional SPICE simulation, which is of significant value when a large number of simulations is needed for statistical analysis.
Algorithms for VLSI design automation

From the Publisher: Modern microprocessors such as Intel's Pentium chip typically contain millions of transitors. Known generically as Very Large-Scale Integrated (VLSI) systems, the chips have a scale and complexity that has necessitated the development of CAD tools to automate their design. This book focuses on the algorithms which are the building blocks of the design automation software which generates the layout of VLSI circuits. One of the first books on the subject, this guide covers all stages of design.
Quadratic Programming Approach to Pansharpening of Multispectral Images Using a Regression Model

This study presents an approach to synthesize multispectral images at a higher resolution by exploiting a high-resolution image acquired in panchromatic modality. The synthesized images should be similar to the multispectral images that would have been observed by the corresponding sensor at the same high resolution. The proposed scheme is designed to reconstruct the multispectral images at the higher resolution with as less color distortion as possible. It uses a regression model of the second order to fit panchromatic data to multispectral observations. Based on the regression model, the multispectral images at the higher spatial resolution of the panchromatic image are optimized by a quadratic programming. In this study, the new method was applied to the IKONOS 1m panchromatic and 4m multispectral data, and the results were compared with them of several current approaches. Experimental results demonstrate that the proposed scheme can achieve significant improvement over other methods.
The mathematical theory of L systems

The paper gives a survey of the different areas of the theory of developmental systems and languages. It is organized in such a way that it discusses typical results obtained in each particular problem area. The results quoted may not always be the most important ones but they are quite representative for the direction of research in this theory. Proofs are not given and, consequently, the basic techniques for solving problems in this theory are not discussed. An attempt has been made to cover also the most recent results. Most of the results have not yet appeared in print. To appear in J. Tou (ed. ), Advances in Information Systems Science, Plenum Press.
Object recognition in remote sensing images using sparse deep belief networks

Object recognition has been one of the hottest issues in the field of remote sensing image analysis. In this letter, a new pixel-wise learning method based on deep belief networks (DBNs) for object recognition is proposed. The method is divided into two stages, the unsupervised pre-training stage and the supervised fine-tuning stage. Given a training set of images, a pixel-wise unsupervised feature learning algorithm is utilized to train a mixed structural sparse restricted Boltzmann machine (RBM). After that, the outputs of this RBM are put into the next RBM as inputs. By stacking several layers of RBM, the deep generative model of DBNs is built. At the fine-tuning stage, a supervised layer is attached to the top of the DBN and labels of the data are put into this layer. The whole network is then trained using the back-propagation (BP) algorithm with sparse penalty. Finally, the deep model generates good joint distribution of images and their labels. Comparative experiments are conducted on our dataset acquired by QuickBird with 60 cm resolution and the recognition results demonstrate the accuracy and efficiency of our proposed method.
Principles of Dependency Phonology

Part I. Phonological Structure: 1. The structure of phonological segments 2. The structure of phonological sequences 3. Dependency structures in phonology Part II. Phonological Gestures and their Structure: 4. The categorical gesture: phonation 5. The categorical gesture: initiation 6. The articulatory gesture Part III. Overview: 8. Conclusions and consequences.
An integrated patient oriented workstation for radiological diagnosis

Many computerired ahtabare managers for retrieval of dialogical abtu for all of patient's history have been designed, but they lack the abilir), lo disphy images in a convenient way. This paper describes a Mdiologv diagnoses syslem that integrates a virtual light bwni on a high resolution nruili monitor workstation plar/om with dia@ rept't~ and report nuking. scheduling, image processing and an adaptive user inferjae wing un objrc: oriented apprwch. 7he workstation is designed in collaboration with radiologists as a simulated envinmment for radiology d i a m with high qualiry images, convenience und fast training in mind
Distributed edge detection algorithm based on wavelet transform for wireless video sensor network

Edge detection algorithms are critical to image processing and computer vision. Traditional edge detection algorithms are not suitable for wireless video sensor network (WVSN) in which the nodes are with in limited calculation capability and resources. In this paper, a distributed edge detection algorithm based on wavelet transform designed for WVSN is proposed. Wavelet transform decompose the image into several parts, then the parts are assigned to different nodes through wireless network separately. Each node performs sub-image edge detecting algorithm correspondingly, all the results are sent to sink node, Fusing and Synthesis which include image binary and edge connect are executed in it. And finally output the edge image. Lifting scheme and parallel distributed algorithm are adopted to improve the efficiency, simultaneously, decrease the computational complexity. Experimental results show that this method could achieve higher efficiency and better result.
The Neural Code of Pitch and Harmony

Providing neurophysiological data and theories that are suitable to explain the neural code of pitch and harmony, the author demonstrates that musical pitch is a temporal phenomenon and that musical harmony is a mathematical necessity based on neuronal mechanisms. Moreover, he offers new evidence for the role of an auditory time constant for speech and music perception as well as for similar neuronal processing mechanisms of auditory and brain waves.
System level integration of simulation Methods for high data-rate transmission circuit design applications

A system level integration of simulation methods for high data-rate transmission circuit design applications is developed in this paper. While the elementary circuit theory was responsible for designing the circuits to meet the required performance specifications, three dimensional full-wave electromagnetic simulation technique was adopted to characterize the off-chip parasitic effects induce from the packages. The developed technique was applied for the design of optical Pick-Up Head (PUH) driver circuitry and a data transmission rate up to 640Mega bits per second (Mb/s) was achieved with standard 0. 35μm CMOS technology, showing the promising feature of applying such technique in successful design for high data-rate transmission circuits.
Communication Networking: ICTs and health information in Africa

This paper examines the uses of information and communication technologies (ICTs) in the African health sector. In particular, it shows the benefits that ICTs can bring to African health care systems in the areas of medical information, clinical data exchange, treatment, health education campaigns and international collaboration between African medical experts and their colleagues abroad. Despite the potential benefits and uses of ICTs, the paper warns that ICTs should not be naively celebrated as the panacea of African health care. It suggests that ICTs should be a means, not an end, for development in Africa. In this context, the paper illustrates how ICTs can be adapted for human development, social capabilities and literacy within African society.
A programmable parallel processor LSI for video-based driver assistance systems

This paper describes a fully programmable parallel processor LSI which integrates 128 SIMD RISC microprocessors, each operates in 100 MHz. The LSI achieves simultaneous and real-time multiple processing of driver assistance video recognition applications in software, while at the same time satisfies power efficiency requirement of an in-vehicle LSI. Based on four basic parallel methods and a software development environment including an optimizing compiler of an extended C language and video-based GUI tools, efficient development of real-time video recognition applications which effectively utilize the 128 micro-processors are facilitated. Result of a benchmark test using a high level language written for a robust lane-mark and vehicle detection application shows that the LSI can provide a four times better performance compared with a 2.4 GHz general purpose processor.
Coupling global models for hydrology and nutrient loading to simulate nitrogen and phosphorus retention in surface water – description of IMAGE–GNM and analysis of performance

Abstract. The Integrated Model to Assess the Global Environment–Global Nutrient Model (IMAGE–GNM) is a global distributed, spatially explicit model using hydrology as the basis for describing nitrogen (N) and phosphorus (P) delivery to surface water, transport and in-stream retention in rivers, lakes, wetlands and reservoirs. It is part of the integrated assessment model IMAGE, which studies the interaction between society and the environment over prolonged time periods. In the IMAGE–GNM model, grid cells receive water with dissolved and suspended N and P from upstream grid cells; inside grid cells, N and P are delivered to water bodies via diffuse sources (surface runoff, shallow and deep groundwater, riparian zones; litterfall in floodplains; atmospheric deposition) and point sources (wastewater); N and P retention in a water body is calculated on the basis of the residence time of the water and nutrient uptake velocity; subsequently, water and nutrients are transported to downstream grid cells. Differences between model results and observed concentrations for a range of global rivers are acceptable given the global scale of the uncalibrated model. Sensitivity analysis with data for the year 2000 showed that runoff is a major factor for N and P delivery, retention and river export. For both N and P, uptake velocity and all factors used to compute the subgrid in-stream retention are important for total in-stream retention and river export. Soil N budgets, wastewater and all factors determining litterfall in floodplains are important for N delivery to surface water. For P the factors that determine the P content of the soil (soil P content and bulk density) are important factors for delivery and river export.
Multidimensional Quality Metrics (MQM)

In recent years translation quality evaluation has emerged as a major, and at times contentious, topic. Despite a focus on systematizing the evaluation of translation quality, the industry landscape is still highly fragmented, in part because different kinds of translation projects require very different evaluations of quality. In addition, human and machine translation (MT) quality evaluation methods have been fundamentally different in kind, preventing comparison of MT with human translation. The lack of clarity has contributed to an environment in which requesters of translation often cannot be certain whether or not a translation meets their needs or the needs of end users and where providers are unclear about what requesters need and want. In response the EU-funded QTLaunchPad project has developer the Multidimensional Quality Metrics (MQM) framework, an open an extensible system for declaring and describing translation quality metrics using a shared vocabulary of “issue types”.
A novel hybrid optimization procedure for distribution capacitor placement with varying load condition

A combination of fuzzy logic, genetic algorithm and dynamic programming has been applied to optimize the problem of capacitor placement on distribution feeders. The cost function consists of three terms: the total cost of energy loss, the total cost of capacitors, including the purchase and installation costs, and one constant term related to total cost of produced power in peak load condition. A multi-objective and non-differentiable optimization problem is formulated. The proposed method of this article uses fuzzy reasoning for siting of capacitors, optimized by genetic algorithm, which finds the optimum weighting factors of fuzzy membership functions. Dynamic programming is used for sizing of the capacitors. Varying load condition of the distribution system has been considered in the optimization problem. The proposed method has been implemented in a software package and its effectiveness has been verified on a 34-bus radial distribution feeder, as a practical case study. A comparison has been made between the proposed method of this paper and similar methods in other research works, which shows the effectiveness of the proposed method of this paper for solving optimum capacitor planning problem.
BaBar helium liquefier and superconducting magnet control system

The BaBar 27 MJ superconducting solenoid and 1000 W helium liquefier at the Stanford Linear Accelerator Center (SLAC) have been operating with high reliability since October 1998. The control system consists of two Allen Bradley SLC 500/4 PLC controllers and two Windows NT PCs running BridgeView as the Graphical User Interface (GUI) all connected via a common Data Highway Plus network. A third 500/4 PLC and PC have been recently added to the network, integrating control of a second compressor system that is used with another helium liquefier. Separate hardwired protection systems for both the solenoid and liquefier are provided. All GUI screens are viewable over the Web. Operating, upgrading and commissioning experience of this control system is discussed. Control system hardware, software technical performance, and instrumentation and wiring issues are detailed. Operator interaction issues are also included.