Miracle-dz/UniFAR-FTUs huggingface dataset:
Full-view coverage quasi-mobile camera sensor network for maritime surveillance

Coverage of a camera sensor network (CSN) is a critical issue in deploying such network in maritime environment. In such environment, camera sensors will not be stationary after the initial deployment due to the hostile sea environment. Hence, the mobility pattern poses a major limitation on identifying the time-varying coverage. In full-view coverage, target's facing direction has been introduced to judge whether a target's facing direction is guaranteed to be captured. To this end, we exploit full-view coverage in CSN, since image shots at the frontal viewpoint of a given target considerably increase the possibility to detect and recognize the target. In this paper, we have developed a mobility pattern based on wind speed and spring relaxation technique which are used to characterize the total displacement of a given buoy. Furthermore, the average percentage of full-view coverage has been evaluated based on different parameters such as equilateral triangle grid length, sensing radius of camera, wind speed and wave height. Consequently, the proposed model has been validated through MATLAB simulation platform.
The Identification Of Hippocampal Network Function

This paper presents an approach to the identification of models characterizing the functional properties of the hippocampal formation. In this approach the network properties are characterized as the composite of input/output functions measured for each subsystem in the network. The characterizing functions are the kernels of a functional power series. The calculation and interpretation of these functions is reviewed, and experimental results are presented. Results of computer simulations are presented based on a parallel computer network consisting of transputers organized according to the architecture of the physiological neuronal network.
Gouvernement par comités

HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignement et de recherche français ou étrangers, des laboratoires publics ou privés. Gouvernement par comités Jacques De Maillard, Cécile Robert
Reducing the frequency of errors in medicine using information technology.

BACKGROUND Increasing data suggest that error in medicine is frequent and results in substantial harm. The recent Institute of Medicine report (LT Kohn, JM Corrigan, MS Donaldson, eds: To Err Is Human: Building a Safer Health System. Washington, DC: National Academy Press, 1999) described the magnitude of the problem, and the public interest in this issue, which was already large, has grown. GOAL The goal of this white paper is to describe how the frequency and consequences of errors in medical care can be reduced (although in some instances they are potentiated) by the use of information technology in the provision of care, and to make general and specific recommendations regarding error reduction through the use of information technology. RESULTS General recommendations are to implement clinical decision support judiciously; to consider consequent actions when designing systems; to test existing systems to ensure they actually catch errors that injure patients; to promote adoption of standards for data and systems; to develop systems that communicate with each other; to use systems in new ways; to measure and prevent adverse consequences; to make existing quality structures meaningful; and to improve regulation and remove disincentives for vendors to provide clinical decision support. Specific recommendations are to implement provider order entry systems, especially computerized prescribing; to implement bar-coding for medications, blood, devices, and patients; and to utilize modern electronic systems to communicate key pieces of asynchronous data such as markedly abnormal laboratory values. CONCLUSIONS Appropriate increases in the use of information technology in health care- especially the introduction of clinical decision support and better linkages in and among systems, resulting in process simplification-could result in substantial improvement in patient safety.
An Iterative Route Construction and Improvement Algorithm for the Vehicle Routing Problem with Soft and Hard Time Windows

The joint solution of routing problems with soft and hard time windows has valuable practical applications. Simultaneous solution approaches to both types of problems are needed when: (a) the number of routes needed for hard time windows exceeds the number of available vehicles, (b) a study of cost-service tradeoffs is required or the dispatcher has qualitative information regarding the relative importance of hard time window constraints across customers. A new Iterative Route Construction and Improvement (IRCI) algorithm of average run time performance 2 ( ) O n is proposed to sequentially solve Vehicle Routing Problems with Soft Time Windows (VRPSTW) and Hard Time Windows (VRPHTW). Due to its modular and hierarchical design, the IRCI algorithm is intuitive, easy to code, and able to accommodate general cost and penalty functions. The solution quality and computational time of the new algorithm is compared against existing results on benchmark problems for the VRPHTW and VRPSTW. Furthermore, the algorithm can be used to obtain faster simultaneous solutions for both VRPHTW and VRPHTW problems using the soft time windows solutions as a lower bound for hard time window problems. Despite its simplicity and flexibility, the algorithm performs well in terms of solution quality and speed in instances with soft and hard time windows.
Safeguarding financial stability : theory and practice

Safeguarding Financial Stability explicates why financial stability matters, what it means, and the challenges in securing it, according to Gerard Caprio, Jr. from the World Bank. [It is] a thoughtful and thought-provoking volume that is a must read not just for central bankers but for all concerned with financial stability.
The Choice of a Monetary Policy Reaction Function in a Simple Optimizing Model

Monetary policy reaction functions are compared in a simple optimizing model with one-period nominal stickiness, i.i. d. shocks, and no capital accumulation. The interest rate is the instrument and is either kept constant, "interest rate targeting" for short, or used in targeting one of the following: money, the price level, output, nominal income (output), money growth, inflation, and the sum of inflation and output. There are three varieties of one-period nominal stickiness---wage stickiness, wage and price stickiness, and price stickiness---and three kinds of shocks---money demand shocks, goods demand shocks, and productivity shocks. A given type of targeting is "better" than some other type for a given variable and kind of shock if it results in smaller deviations of the variable from its target value. Some familiar results regarding the ranking of types of targeting are confirmed in the optimizing model, and some new results are obtained. It is not surprising that rankings may depend both on the type of shock and on which variable is the target variable. However, it may be somewhat surprising that, given that wages are sticky, rankings depend on whether prices are sticky, but that given that prices are sticky rankings do not depend on whether wages are sticky.
Kalman Filtering with Equality and Inequality State Constraints

Both constrained and unconstrained optimization problems regularly appear in recursive tracking problems engineers currently address – however, constraints are rarely exploited for these applications. We define the Kalman Filter and discuss two different approaches to incorporating constraints. Each of these approaches are first applied to equality constraints and then extended to inequality constraints. We discuss methods for dealing with nonlinear constraints and for constraining the state prediction. Finally, some experiments are provided to indicate the usefulness of such methods.
5.5–10.5 GHz IR-UWB pulse generator for narrowband interference mitigation

An impulse radio ultra wideband (IR-UWB) pulse generator works between 5.5-10.5 GHz for narrowband interference mitigation is proposed. With an average power of -85 dBm/MHz from 0-5 GHz, high interference avoidance has been achieved for a wide range of narrowband systems including Global Positioning System (GPS), Worldwide Interoperability for Microwave Access (WiMAX), Wireless Local Area Network (WLAN) 802.11b and 802.11a. The proposed pulse generator utilizes a 1 GHz sine wave power source to work with the designed half-wave rectifier. The generated pulse width is less than 1 ns, providing a speed of about 1 Gb/s for IR-UWB system with minimum modulation complexity. A passive low pass filter (LPF) is designed with a cutoff frequency of 1.5 GHz works with the circuit up-converter mixer to generate a pulse which matches the Federal Communication Commission (FCC) requirements of UWB. The design has been carried out using Advanced Design System (ADS) software. The proposed pulse generator is supported by different modulation techniques like on-off keying (OOK) and pulse position modulation (PPM).
Why are there so many loop formulas?

A theorem by Lin and Zhao shows how to turn any nondisjunctive logic program, understood in accordance with the answer set semantics, into an equivalent set of propositional formulas. The set of formulas generated by this process can be significantly larger than the original program. In this article we show (assuming P ⊈ NC1 / poly, a conjecture from the theory of computational complexity that is widely believed to be true) that this is inevitable: any equivalent translation from logic programs to propositional formulas involves a significant increase in size.
Modeling Real-Time Car-Following Risk Based on Probability Computation

An innovation feature of this study is modeling real-time car-following risk based on probabilistic concepts. First of all, this paper divided the process of rear-end collision into two stages: first stage is leading vehicle decelerates and the second is the following vehicle can not avoid the collision on the condition of it. On the basis of that, the probability of rear-end collision which used to express the risk of car-following was calculated using the total probability theorem. Whatpsilas more, a deceleration probability density function model was developed which based on the data comes from video detector. In the analysis of the condition on which collision occur while leading vehicle decelerating, brake system response time and coefficient of adhesion were taken into account and this make the model forceful to reflect the real traffic situation. At last, a case study was given using Hang Zhou data, and the data was collect by video detector. The proposed model can be applied to road safety evaluation and intelligent transportation systems.
Fractional Fourier analysis of signal reconstruction from finite samples by fractional convolution

The method of signal reconstruction from finite samples by convolution can be used for range cell migration correction in SAR. Since the fractional Fourier transform(FRFT), as the generalization of Fourier transform, has been investigated to process SAR data in recent years, it is necessary to analyze this foregoing method in the FRFT domain. In this paper, the reconstruction formula is reviewed in the FRFT domain by virtue of the fractional convolution. And then the analysis of reconstruction error is made, which result from finite samples. Finally, the normalization formulas of the intercepted convolution kernel are shown.
System design and development of hybrid electric vehicles

Hybrid electric vehicles (HEVs) powered by electric machines and an internal combustion engine (ICE) are a promising means of reducing emissions and fuel consumption without compromising vehicle functionality and driving performance. Reducing emissions is important because pollution in cities is almost entirely due to transport and is linked to the illness and death of many people. This paper describes the electrical components and overall system design of the Holden ECOmmodore HEV. The paper also describes how the system design was influenced by the roles expected of the car, where two issues of particular importance were system redundancy and protection.
Arbuscular mycorrhizal fungi in alleviation of salt stress: a review.

BACKGROUND Salt stress has become a major threat to plant growth and productivity. Arbuscular mycorrhizal fungi colonize plant root systems and modulate plant growth in various ways. SCOPE This review addresses the significance of arbuscular mycorrhiza in alleviation of salt stress and their beneficial effects on plant growth and productivity. It also focuses on recent progress in unravelling biochemical, physiological and molecular mechanisms in mycorrhizal plants to alleviate salt stress. CONCLUSIONS The role of arbuscular mycorrhizal fungi in alleviating salt stress is well documented. This paper reviews the mechanisms arbuscular mycorrhizal fungi employ to enhance the salt tolerance of host plants such as enhanced nutrient acquisition (P, N, Mg and Ca), maintenance of the K(+) : Na(+) ratio, biochemical changes (accumulation of proline, betaines, polyamines, carbohydrates and antioxidants), physiological changes (photosynthetic efficiency, relative permeability, water status, abscissic acid accumulation, nodulation and nitrogen fixation), molecular changes (the expression of genes: PIP, Na(+)/H(+) antiporters, Lsnced, Lslea and LsP5CS) and ultra-structural changes. Theis review identifies certain lesser explored areas such as molecular and ultra-structural changes where further research is needed for better understanding of symbiosis with reference to salt stress for optimum usage of this technology in the field on a large scale. This review paper gives useful benchmark information for the development and prioritization of future research programmes.
Centre on Regulation and Competition Working Paper Series Information, Icts and Ethical Trade: Implications for Self-regulation Information, Icts and Ethical Trade: Implications for Self-regulation

Increasing numbers of ethical trade initiatives are being launched, reflecting concerns about the limited benefits that globalisation brings to producers in developing countries. Ethical trade is an information-intensive activity yet little is known about the role of information systems in supporting this activity. Ethical trade – with its voluntary codes and consumer campaigns – also represents a new approach to interaction between market actors. This form of self-regulation is seen as an alternative to state regulation and sanctions, and more appropria te to a liberalised international economy. This paper provides a summary of the literature concerning ethical trade, self-regulation and the role of information. It presents models and issues in relation to both ethical trade information systems and information and communication technologies. Findings about information systems and ethical trade also advance our understanding of self-regulation.
SuperCoP: a general, correct, and performance-efficient supervised memory system

Supervised memory systems maintain additional metadata for each memory address accessed by the program, to control and monitor accesses to the program data. Supervised systems find use in several applications including memory checking, synchronization, race detection, and transactional memory. Conventional memory instructions are replaced by supervised memory instructions (SMIs) which operate on both data and metadata atomically. Existing proposals for supervised memory systems assume sequential consistency. Recently, Bobba et al. [4] demonstrated the correctness issues (imprecise exceptions and metadata read reordering) in naively applying supervision to Total-Store-Order, and proposed two solutions - TSOall and TSOdata - for overcoming the correctness issues. TSOall solves correctness issues by forcing SMIs to perform in order, but performs similar to SC, since supervised writes cannot retire into the write-buffer. TSOdata, while allowing supervised writes to retire into the write-buffer, works correctly for only a subset of supervision schemes. In this paper we observe that correctness is ensured as long as SMIs read and process their metadata in order. We propose SuperCoP, a supervised memory system for relaxed memory models in which SMIs read and process metadata before retirement, while allowing data and metadata writes to retire into the write-buffer. Since SuperCoP separates metadata reads and their processing from the writes, we propose a simple mechanism - in the form of cache block level locking at the directory - to ensure atomicity. Our experimental results show that SuperCoP performs better than TSOall by 16.8%. SuperCoP also performs better than TSOdata by 6%, even though TSOdata is not general.
Interference Cancellation in MIMO Systems

The MIMO systems have many advantages compared to single transmissions. However, the interference load is increased, causing difficulties in transmission. A possible solution for the problem is provided by the BSS, which is an application of ICA. The two main classes of ICA algorithms (the batch and adaptive algorithms) have different advantages and drawbacks that should be considered while solving a problem.
Mixture Odor Classification using Fuzzy Neural Network and Its Optimization through Genetic Algorithm

: - This report presents an optimized fuzzy neural network through the use of genetic algorithms. Fuzzy neural networks are widely used as it can adaptively deal with measurement of error directly, however, this neural model creates a dilemma from the fact that both large and small networks exhibit a number of disadvantages. If the network size is too small, the error rate tends to increase due to the network might not be able to approximate enough the functional relationship between the input and the target output. While, if the size is too large, the network would not be able to generalize the input data that never been learned before. The developed optimized fuzzy neural system is then applied as the pattern classifier in the artificial odor recognition system. The performance of its recognition ability is explored and compared with that of the conventional Back-Propagation neural system and the un-optimized fuzzy neural. It is shown clearly that the average recognition rate of the GA-optimized fuzzy neural system has higher recognition capability compared with that of the other neural system.
Pf1, a Novel PHD Zinc Finger Protein That Links the TLE Corepressor to the mSin3A-Histone Deacetylase Complex

ABSTRACT The mSin3A-histone deacetylase corepressor is a multiprotein complex that is recruited by DNA binding transcriptional repressors. Sin3 has four paired amphipathic alpha helices (PAH1 to -4) that are protein-protein interaction motifs and is the scaffold upon which the complex assembles. We identified a novel mSin3A-interacting protein that has two plant homeodomain (PHD) zinc fingers we term Pf1, for PHD factor one. Pf1 associates with mSin3A in vivo and recruits the mSin3A complex to repress transcription when fused to the DNA binding domain of Gal4. Pf1 interacts with Sin3 through two independent Sin3 interaction domains (SIDs), Pf1SID1 and Pf1SID2. Pf1SID1 binds PAH2, while Pf1SID2 binds PAH1. Pf1SID1 has sequence and structural similarity to the well-characterized 13-amino-acid SID of the Mad bHLHZip repressor. Pf1SID2 does not have sequence similarity with either Mad SID or Pf1SID1 and therefore represents a novel Sin3 binding domain. Mutations in a minimal fragment of Pf1 that encompasses Pf1SID1 inhibited mSin3A binding yet only slightly impaired repression when targeted to DNA, implying that Pf1 might interact with other corepressors. We show that Pf1 interacts with a mammalian homolog of the Drosophila Groucho corepressor, transducin-like enhancer (TLE). Pf1 binds TLE in an mSin3A-independent manner and recruits functional TLE complexes to repress transcription. These findings suggest that Pf1 may serve to bridge two global transcription networks, mSin3A and TLE.
A Survey of Recent Research in Health Economics

In this survey of recent research in health economics, I concentrate on studies that have appeared since 1971 or are in progress. The survey reflects in part my own research interests and biases and is not meant to be comprehensive. Four topics are covered: (1) demand for adults' health and medical care; (2) effects of health on labor supply and wage rates; (3) demand for children's health and medical care and (4) selected topics pertaining to the supply side of the medical care market.
Combined Object Detection and Segmentation

We develop a method for combined object detection and segmentation in natural scene. In our approach segmentation and detection are considered as two faces of the same coin that should be combined into a single framework. There are two main steps in our strategy. First we focus on the learning of a visual vocabulary that efficiently encompasses objects' appearance, spatial configuration and underlying segmentation. This vocabulary is used within a Hough voting framework to produces object's configuration. The second step consists in searching for valid objects' configurations by interpreting and scoring them in terms of both detection and segmentation. This allows us to prune false detections and hallucinated object-like segmentation. Experiments show the advantage of the combined approach and the improvements over recent related methods.
Spiking and Bursting in Josephson Junction Syamal

We report neuron-like spiking and bursting in resistive-capacitive-inductive shunted Josephson junction (RCLSJ) model. Spiking oscillations namely, regular spiking (RS), intrinsically bursting (IB) and fast spiking (FS) as usually seen in rat's motor cortex are observed in a single junction under external DC bias. The spiking junction voltage is amplitude modulated as well as frequency modulated when forced by weak sinusoidal signal of frequency much lower than the junction resonant frequency. For stronger forcing, bursting oscillations are observed. The junction also shows autonomous bursting in the high inductive regime.