Miracle-dz/UniFAR-FTUs huggingface dataset:
A FMIPv6 Based Handover Scheme for Real-Time Applications in Mobile WiMAX

The IEEE 802.16 standard was designed to provide rapid deployment, high bandwidth, and low-cost fixed broadband wireless access (BWA). As an enhancement, IEEE 802.16e standard was developed for further supporting mobility. As media streaming services are extending to mobile stations, it is crucial to minimize the handover delay and service disruption time so as to maintain the sustained connection of IP sessions. In this work, we propose a cross-layer IPv6 fast handover scheme which features integrated layer 2/layer 3 messages and fast network re-entry methods. Compared with the fast mobile IPv6 over 802.16e network scheme in predictive mode, our proposed scheme can reduce the service disruption time by more than 90% and 85% for downlink and uplink, respectively so that the quality of service (QoS) for real-time applications can be improved significantly.
Design and emulation of new robust architectures for UHF RFID Tags

RFID ICs such as EPC gen2 tag are low cost tags which can be used for critical or secure applications. Increasing their robustness is not trivial due to the wide range of error sinks (EM perturbation, attacks.). Moreover increasing the robustness must have a minimum impact on the die area but also must fit with a standardized protocol. In this work we propose a design methodology in order to develop hardened EPC architecture with a dedicated verification environment taking into account all RFID system parameter. KeywordsFault Injection, RFID Security, RFID attacks, FPGA prototype, Secure IC, Robust IC, EPC .
Geometrical Primitives for the Classification of Images Containing Structural Cartographic Objects

The new generation satellites provide an important quantity of high resolution images. There is a growing need for automated systems to detect cartographic objects on these images. A sub-task of this objective, proposed by CNES (French National Space Agency), is to classify images containing different categories of cartographic objects. The main challenge of the problem, compared with other object detection tasks, is the high intra-class variability of the target classes due to the vagueness of their definitions. We propose a classification system that exploits mainly the structural properties of the images that seem to be the most plausible cues for discriminating them. A region-based method and an edge-based method are used in parallel to extract the geometrical primitives in images. A feature vector is calculated from the primitives and their perceptual groupings, by the accumulation of combinations of their geometrical, relational and spatial attributes. A multi-class Adaboost classifier is trained using the feature vector. The main contribution of this paper is the use of structural shape attributes in a statistical learning method framework. We tested our method on CNES dataset prepared for the ROBIN competition and we obtained promising results.
Forecast Targeting as a Monetary Policy Strategy: Policy Rules in Practice

Forecast targeting is an innovation in central banking that represents an important step toward more rule-based policymaking, even if it is not an attempt to follow a policy rule of any of the types that have received primary attention in the theoretical literature on optimal monetary policy. This paper discusses the extent to which forecast targeting can be considered an example of a policy rule, and the conditions under which it would represent a desirable rule, with a view to suggesting improvements in the approaches currently used by forecast-targeting central banks. Particular attention is given to the intertemporal consistency of forecast-targeting procedures, the assumptions about future policy that should be used in constructing the forecasts used in such procedures, the horizon with which the target criterion should be concerned, the relevance of forecasts other than the inflation forecast, and the degree of robustness of a desirable target criterion for monetary policy to changing circumstances.
Sub-micrometer vertical type current channel of semi-conductive al gate organic semiconductor copper phthalocyanine thin film transistor

The sub-micrometer vertical type current channel of semi-conductive Al gate organic semiconductor copper phthalocyanine thin film transistor (VOTFT) with five layered structure of Au(Emitter)/CuPc/Al(Base)/CuPc/Au(collector) is fabricated by vacuum evaporation technique with organic semiconductor copper phthalocyanine. As the thickness of semiconductive Al thin film is approximately 20nm, the carriers emitted from source electrode tunnel through CuPc/Al/CuPc double schottky barrier formed the operating current of thin film transistors. The result shows that VOTFT has the unsaturated voltage and current characteristic similar with the bipolar mode static induction transistor, low driving voltage, strong gate voltage capacity and high current density. The dynamic small signal responsive frequency can be achieved to ~1000Hz The DC characteristic is similar with inorganic semiconductor polycrystalline silicon devices.
TRANSPARENT DISTRIBUTED DISCRETE EVENT MODELING

Stand-alone modeling and distributed modeling show considerable differences in methodology and amount of modeling effort needed. An approach is discussed to design and develop distributed models with the ease of stand-alone modeling and without the overhead usually associated with distributed modeling. The main objective is to obtain interchangeability of a stand-alone model and its distributed equivalent, maintaining the model structure in all models and to minimize code alteration and overhead. Important requirements are reproducibility of simulation experiments and model integrity. The process interaction modeling approach appears to be very appropriate for this. Most attention is paid to the interaction between model elements in stand-alone as well as distributed models. Some examples are show in pseudo language and demands on simulation software are derived.
Characterizing Neural Gain Control using Spike-triggered Covariance

Spike-triggered averaging techniques are effective for linear characterization of neural responses. But neurons exhibit important nonlinear behaviors, such as gain control, that are not captured by such analyses. We describe a spike-triggered covariance method for retrieving suppressive components of the gain control signal in a neuron. We demonstrate the method in simulation and on retinal ganglion cell data. Analysis of physiological data reveals significant suppressive axes and explains neural nonlinearities. This method should be applicable to other sensory areas and modalities.
A Compact User Model for Hybrid Movie Recommender System

Collaborative filtering (CF), the most successful information filtering technique for recommender systems, is either memory-based or model-based. While the former is more accurate, its scalability compared to model-based is poor. Moreover, the similarity functions used by most recommender systems are compensatory and allow very high (pros) and very low (cons) scores to compensate each other. This paper presents a hybrid movie recommender system that retains memory-based CF accuracy, model-based CF scalability, and alleviates the compensation problem of similarity functions. The proposed recommender system relies on a compact user model and fuzzy concordance/discordance principle. The user model speeds up the online process of generating a set of like-minded users within which a memory-based CF is carried out. The inter users comparison is done by using fuzzy concordance/discordance principle to alleviate the similarity compensation problem. The pros and cons between users are measured separately and then the overall statement about them is obtained by balancing the pros and cons within the set of criteria. Besides our approach is fast and compact, computational results reveal that it outperforms the classical one.
Mobility-based opportunistic routing for mobile ad-hoc networks

Opportunistic Routing (OR) is an effective and enhanced routing scheme for wireless multihop environment. OR is an approach which selects a certain number of best forwarders (candidates) at each hop by taking the advantage of the broadcast nature of the wireless medium to reach the destination. When a set of candidates receive the packet, they coordinate with each other to figure out which one has to forward the packet toward the destination. Most of the researches in this area have been done in mesh networks where nodes do not have mobility. In this paper, we propose a new OR protocol for mobile ad hoc scenarios called as Enhanced Mobility-based Opportunistic Routing (EMOR) protocol. To deal with the node mobility, we have proposed a new metric which considers the geographical position of the candidates, the link delivery probability to reach them, the number of the neighboring nodes of the candidate, and the predicted position of nodes using the motion vector of the nodes. We have compared EMOR with five other well-known routing protocols in terms of delivery ratio, end-to-end delay, and expected number of transmissions from source to the destination. Our simulation results show that proposed protocol improves delivery ratio and number of expected transmission in terms of different type of mobility models.
Towards Interoperability for the Penn Discourse Treebank

The recent proliferation of diverse types of linguistically annotated schemes coded in different representation formats has led to efforts to make annotations interoperable, so that they can be effectively used towards empirical NL research. We have rendered the Penn Discourse Treebank (PDTB) annotation scheme in an abstract syntax following a formal generalized annotation scheme methodology, that allows meaning-preserving mappings to any other scheme. As an example, we show the mapping of the PDTB abstract syntax to a representation in the GrAF format.
Information theoretic interpretations for H˞ entropy

Based on the studies on information transmission in discrete multivariable linear time invariant (LTI) system disturbed by stationary noise, relations within entropy rate, mutual information rate and H∞ entropy are discussed in both general control problem and classic tracking problem. For the general control systems, equivalent relations between entropy rate and H ∞ entropy are formulated by using spectral factorization. For the classic tracking systems, performance of disturbance rejection is measured by a difference of entropy rates (or mutual information rate in Gaussian case). This performance function is proved to be bounded by the H∞ entropy of the closed-loop transfer function from disturbance to output. These relations give information theoretic interpretations for the minimum entropy H∞ control theory. Potential application of these relations is discussed. Copyright © 2005 IFAC
Efficient Service Task Assignment in Grid Computing Environments

Grids facilitate the employment of various nodes comprising supercomputers, storage elements and databases that are distributed for resolving computational demanding problems in many disciplines of science and commerce (Foster, 2001). To utilize Grids effectively, an efficient allocation algorithm is needed to assign service tasks to Grid resources. Thus, assuming that a user wishes to perform a specific service task, which can be served by various candidate Grid nodes (CGNs), a problem that should be addressed is the assignment of the requested service task to the most appropriate Grid node. In this paper, the pertinent problem is called Service Task Allocation (STA).
Evolution of Dust and Ice Features around FU Orionis Objects

We present spectra for a sample of 14 FUors and two T Tauri stars observed with Spitzer or ISO. Based on the appearance of the 10 μm silicate feature, we define two categories of FUors. Objects showing the silicate feature in absorption (Category 1) are still embedded in a circumstellar envelope. The shape of the silicate bands is in good agreement with typical dust compositions of the ISM. Only one object appears too rich in amorphous pyroxene dust, but a superposed emission feature can explain the observed shape. We derive optical depths and extinction values from the silicate and additional ice bands. Particularly, the analysis of the CO2 ice band at 15.2 μm allows us to search for evidence for ice processing and to constrain whether the absorbing material is physically linked to the central object. For objects showing the silicate band in emission (Category 2), we argue that the feature comes from the surface layer of accretion disks. We find evidence that grain growth has already taken place within the disks, but no clear indications for crystallization are present. We discuss how these observations fit into the picture of a young and active accretion disk. Finally, a framework is proposed how the two categories of FUors can be understood in a general paradigm of the evolution of young, low-mass stars. As one object (Parsamian 21) shows PAH emission features typical for evolved stars, we question its status as a FUor. Additionally, two spectra (RNO 1B and L1551 IRS 5) show [Fe II] emission lines that are attributed to hot, dense, or shocked material related to outflows.
Impact of the Mobility Model on a Cooperative Caching Scheme for Mobile Ad Hoc Networks

In the last few years more and more mobile devices have been developed and they are now part of our lives. Cellular phones, PDAs and laptops are daily used in mobile environments such as airports or train stations. For many applications these terminals require access to data networks or the Internet. In order to share information among them the mobile nodes have to cooperate to forward and route the traffic from one node to another forming the socalled Mobile Ad Hoc Networks (MANETs). Due to the mobility of the nodes the mobile nodes can enter or leave the coverage area of other nodes forcing to recalculate the routes in order to make possible the packet forwarding. In addition, wireless networks have a more limited bandwidth and a greater error probability than the wired medium, since the radio medium is shared and prone to interferences and packet collisions. Moreover, the mobile devices have to be portable and hence the processing and battery capabilities also have important restrictions. Due to the limitations of the MANETs and the mobile devices, some caching mechanisms can be implemented in order to reduce the traffic in the network. Reducing the traffic along the network, and hence the number of forwarded packets, also reduces the battery consumption. Let us suppose a MANET with conectivity to an external network such as the Internet as depicted in Figure 1. The mobile nodes cooperate to route packets to the Access Routers that provide access to the external networks. As all the traffic in the MANET is routed to the Access Routers these devices can turn into a bottleneck. In addition, the Access Routers can become temporally inaccessible because they can be out of the coverage area of any mobile node in the network because of the nodes’ mobility. This situation causes temporal disconnections to the external networks. The caching mechanisms reduce the impact of the temporal disconnection to the Access Routers as the mobile nodes can cooperate to serve the documents they have previously cached to the rest of the nodes. On the other hand, since the mobile nodes also have the capability of serving information the bottleneck produced in the Access Routers is reduced as the traffic does not reaches them. As the mobility model influences the behaviour of the nodes in the MANET and the cooperative caching mechanisms depend on the connectivity among the mobile nodes this paper evaluates and compares the performance of a caching scheme under different mobility models. Consequently, in this paper we propose a cooperative caching mechanism and evaluate its performance using two different mobility models.
Comparison of Therapeutic Effects of Omega-3 and Methylphenidate (Ritalin®) in Treating Children With Attention Deficit Hyperactivity Disorder

Objective: Attention deficit hyperactivity disorder (ADHD) is a fixed pattern of disregard and hyperactivity that is much more severe than what is normal in children of the same age. Multiple drugs are used for the treatment of children with ADHD; however, their side effects and efficacy are not clearly known. This study was designed to evaluate and compare the therapeutic effects of two drugs, that is, omega-3 and methylphenidate hydrochloride (Ritalin®), used to treat patients with ADHD. Methods: In a randomized, placebo control clinical trial in Yazd, Iran, 85 ADHD children were divided into two experimental and one control groups. Thus, 29 subjects were treated with Ritalin®, 28 subjects received omega-3, and the remaining 28 received placebo. The data collection tools used in this study consisted of the Conners' Parent Rating Scale and Teacher Rating Scale. The scores obtained from these questionnaires were analyzed using chi-square test and paired t-test in PASW Statistics. Results: The average age of the population was 8.22 (± 1.65) years. Significant associations were observed between Ritalin® therapy and the changes before and after the treatment, and the omega-3 treatment and the changes before and after treatment (p < 0.001). There was no significant association between the placebo group and the changes before and after the treatment (p > 0.050). Omega-3 had considerable efficacy as well as Ritalin® (P = 0.001). Conclusions: More attention should be given to screening, prevention, and treatment with omega-3 and its effective role in the development of the brain and mental health, and increasing children's attention span and thinking ability.
Exploring the roles of self-concept and future memory at consumer events: the application of an extended Mehrabian–Russell model

ABSTRACT This study aimed to extend Mehrabian and Russell’s stimulus–organism–response (S-O-R) framework to consumer events. Physical environment and staff interaction were evaluated as stimuli which impact event attendees’ self-concept and memory (organism), and lead to behavioral intention (response). Data were collected from the surveys completed by 449 attendees of Armada event. The findings confirmed the impact of physical environment on self-concept and memory, as well as the mediation effect of memory between self-concept and behavioral intention. The study is a pioneer in the application of an extended S-O-R framework with the inclusion of memory.
Robust Face Recognition using Local Illumination Normalization and Discriminant Feature Point Selection

Face recognition systems must be robust to the variation of various factors such as facial expression, illumination, head pose and aging. Especially, the robustness against illumination variation is one of the most important problems to be solved for the practical use of face recognition systems. Gabor wavelet is widely used in face detection and recognition because it gives the possibility to simulate the function of human visual system. In this paper, we propose a method for extracting Gabor wavelet features which is stable under the variation of local illumination and show experiment results demonstrating its effectiveness.
Featurerank: A non-linear listwise approach with clustering and boosting

Listwise is an important approach in learning to rank. Most of the existing lisewise methods use a linear ranking function which can only achieve a limited performance being applied to complex ranking problem. This paper proposes a non-linear listwise algorithm inspired by boosting and clustering. Different from the previous listwise approaches, our algorithm constructs weak rankers through directly discovering hidden order in single feature, and then combines these weak rankers using a boosting procedure. To discover the hidden order, we utilize (KNN) method. In our preliminary experiment, we compare our approach with other listwise algorithms and show the effectiveness of our proposed algorithm.
The Effects of Science Teachers’ Perception of Learning Organization on Job Satisfaction

Abstract Learning organizations not only contribute to the organization but also to the employee’s wellbeing. The approach of a learning organization’s benefits for the employees is as follows: people who work in the learning organizations are happier in their lives. In this research, it was aimed to determine a t what levels are the effects of Science teachers’ working for Gaziantep National Education Administration, the perception of a learning organization paradigm on job satisfaction. It will be examined whether science teachers’ perception of learning organization affect their job satisfaction in a positive way. As the relationship between science teachers’ perception of a learning organization on job satisfaction was designated to be examined, t he research design was determined to be causal-comparative. The population and sample: this study’s population is primary school science teachers working at primary schools within the Gaziantep city boundary in the 2012-2013 academic years. A randomly selected 99 science teachers from this population is the sample of this research. Two scales were used in order to gather the data for this research: Job satisfaction Scale (Short Form Minnesota Satisfaction Questionnaire-MSQ) and Learning Organization Scale (LOS). Data was analyzed by using the hierarchical multiple linear regression models. Findings of this study indicate that perception of general job satisfaction of teachers’ learning organizations predicts their job satisfaction strongly and positively. In the light of the findings, some recommendations were made.
Asymptotic Approximation of Hyperbolic Weakly Nonlinear Systems

Abstract An averaging method for getting uniformly valid asymptotic approximations of the solution of hyperbolic systems of equations is presented. The averaged system of equations disintegrates into independent equations for non-resonance systems. We consider the resonance conditions for some classes of solutions. The averaged system can be solved numerically in the resonance case. The shallow water problem is considered as an example of the resonance system. Results of numerical experiments are presented.
Familial dilated cardiomyopathy: Current challenges and future directions

Heart failure is a highly prevalent and increasing health problem for the developed and developing worlds. At 40 years of age, the lifetime risk of heart failure is 1 in 5 for both men and women, and despite advances in heart failure therapies, 50% individuals diagnosed with heart failure will die within 5 years . Dilated cardiomyopathy (DCM) is the most common form of cardiomyopathy and is a major cause of heart failure . DCM is a myocardial disorder defined by ventricular chamber enlargement and systolic dysfunction, that can occur as a primary cardiomyopathy or in association with other factors, such as coronary artery disease, infection, autoimmune disorders, alcohol excess, chemotherapeutic drugs or nutritional deficiencies. Like many common cardiovascular disorders, DCM is generally regarded as a complex trait with genetic and acquired (environmental) components. Despite the enormous clinical importance of DCM, surprisingly little is known about its genetic basis. Studies of families in which DCM segregates as a Mendelian trait have been instrumental in deciphering fundamental molecular defects that cause impairment of cardiac contractile function. This group of patients with familial DCM is the subject of this review. Current perspectives on the insights gained from genetics studies of familial DCM, implications for clinical practice, and challenges for clinicians and for researchers will be discussed.