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Interest on palmprint biometrics has experimented a strong growth in the last decades due to its useful characteristics as uniqueness, permanence, reliability, user-friendliness, acceptability, non-intrusiveness, and low cost of the acquisition devices, which make it attractive for civil and commercial applications. Accordingly, a wide research has been developed in this field. Nevertheless, there...
Three-axis orthogonal gyro installation in strapdown inertial navigation system can only perform limited reliability as single gyro fault can directly lead to the whole system fault, and navigation error can be quickly accumulated with time increasing due to its own mechanism. To solve these problems, a single-axis rotational modulation SINS method based on hexagonal pyramid redundant configuration...
With the large-scale photovoltaic power plants and centralized network, more and more new energy grid problem arises. Distributed photovoltaic power plants connected to the grid, and can lead to accidents such as power grid voltage instability occurs at a certain probability. The fundamental reason is the unreliability of distributed photovoltaic power generation. Solar irradiance and ambient temperature...
Mobile cloud computing has dual benefits that includes cloud computing and mobile computing. In mobile cloud computing data storage and data processing take place outside the mobile device. As a result, there is a high chance of security attack. The security even becomes more critical when mobile phone is initiating the handoff during handover management process. Thus, the attacker may easily get...
Ways to improve the sensitivity and signal-to-noise ratio of primary converters in each case have their fundamental and practical limitations. To determine the optimal frequency of the electromechanical conversion and ensure the specified accuracy and stability of metrological characteristics are encouraged to use the method of probabilistic stability studies of the output characteristic of the converter...
The concept of Precise Point Positioning (PPP) for Global Navigation Satellite System (GNSS) technology was introduced in 1976, however it took until the 1990s for PPP to generate interest amongst the greater GNSS community. In order to evaluate the performance of PPP and its uses for CORSs Network definition, data collected from geodetic receivers belonging to permanent stations of Nigeria network...
Reconstructing normalized difference vegetation index (NDVI) time series datasets is essential for monitoring long-term changes of the terrestrial surface. Here, a temporal-spatial iteration (TSI) method was developed to estimate the NDVIs of contaminated MODIS13Q1 pixels based on reliable MODIS13Q1 data. NDVIs of contaminated pixels were firstly computed through linear interpolation of adjacent high-quality...
We present a new approach for remote sensing image classification. The methodology combines many related tasks namely non linear source separation, feature extraction, feature fusion and learning classification. Nonlinear source separation is a pre-processing stage that aims to compensate the nonlinear mixing natural phenomenon. Latent signals, called sources are transformed to the feature presentation...
An accurate localization algorithm tailored for anisotropic wireless sensors networks (WSN)s is proposed in this paper. Using the proposed algorithm, each regular or position unaware node estimates its distances only to reliable anchors or position-aware nodes. The latter are properly chosen following a new reliable anchor selection strategy that ensures an accurate distance estimation making thereby...
Statistical Fault Injection on microarchitectural simulators can provide early and accurate reliability characterization for array based hardware components. Besides, microarchitectural fault injectors are easily configurable (facilitating many reliability studies) and orders of magnitude faster than RTL fault injectors, rendering them appropriate tools for early reliability estimation using large...
Radiation-induced soft errors are major reliability concerns in advanced technology nodes. The de facto approach for evaluation of the soft error vulnerability is to perform a costly fault injection campaign. Due to the long residency of some errors in system states, the error has to be traced for even millions of cycles. However, only a very small portion of injected errors leads to the failure....
The object under study is a metric associated to each graph, called diameter constrained reliability. The exact evaluation of the diameter constrained reliability belongs to the class of NP-Hard problems, and becomes prohibitive in large graphs. In the literature, several estimation methods have been developed, inspired in statistics, combinatorics, algebra and other branches of knowledge. We are...
Intelligence operations in highly dynamic and constrained networked environments require a prudent strategies to query information sources. We consider the performance of this process based on metrics relating to quality of information: accuracy, timeliness, completeness and reliability. These metrics are identified in military doctrine as requirements that promote mission success. Further, it is...
To improve the precision and efficiency of reliability analysis of flexible mechanism, Two-step Extremum Response Surface Method (TERSM) of reliability analysis is proposed. Dynamics differential equations of the flexible mechanism were established by using the integrated modal method and the flexible multi-body system dynamics method. By using the Monte Carlo Method (MCM), the random sample values...
A first error analysis for finite element solutions of time-harmonic boundary value problems involving cylinders moving in the axial direction is carried out. It is shown that the solutions are affected by errors which behave in a very regular way, as it happens with traditional problems and finite element simulators in the presence of motionless objects. The effects of the motion on the errors considered...
In an object search scenario with several small objects spread over a large indoor environment, the robot cannot infer about all of them at once. Pruning the search space is highly desirable in such a case. It has to actively select a course of actions to closely examine a selected set of objects. Here, we model the inferences about far away objects and their viewpoint priors into a decision analytic...
This paper provides a discussion on the coming technological changes in process automation of networked production systems, which will change the testing procedure. In the smart factory of the future there will be no possibility to reach a test coverage of 100%, assuming a flexible automation with continuous reconfiguration and dynamic changes during runtime. Consequently, large amounts of test cases...
Collaborative filtering algorithm is currently the most widely used and a very efficient technology in personalized recommendation system. To overcome several defects in the research of the traditional Item-based collaborative filtering algorithm, this paper presents a optimized algorithm in two aspects, which are the selection of neighbors and the prediction of ratings. Firstly, different numbers...
For the functioning of American democracy, the Lobbying Disclosure Act (LDA), for the very first time, provides data to empirically research interest groups behaviors and their influence on congressional policymaking. One of the main research challenges is to automatically find the topic(s), by short & sparse text classification, in a large corpus of unorganized, semi-structured, and poorly...
In recent years, with the popularity of Internet technology, online e-learning has become more and more well known. Flipped Classroom, MOOCs (Massive Open Online Course) are becoming the innovative study type. MOOC is one of the representatives of an online teaching concept. Under this situation, a great number of student attend a course, the teacher will have the burden because of the more and more...
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