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The Ocean Observatories Initiative (OOI) is a project funded by the National Science Foundation which provides over 100,000 data products. OOI Cyberinfrastructure takes a two-pronged approach to data quality control: system level and human-in-the-loop. With system level, the system runs datasets through a series of six algorithms: global range, local range, stuck value, gradient, trend, and spike...
Fingerprinting Localization Solutions (FPSs) enjoy huge popularity due to their good performance and minimal environment information requirement. Considered as a data-driven approach, many modern data analytics can be used to improve its performance. In this paper, we propose tow learning algorithms, namely a deep learning architecture for regression and Support Vector Machine (SVM) for classification,...
Face recognition and detection processes are used in where need control by camera. During use of face recognition systems appears following problems: can't find face and not enough information in image, changing illumination, occlusion, face shape and etc. In this paper are given current problems and their solving ways.
Most state-of-the-art graph kernels only take local graph properties into account, i.e., the kernel is computed with regard to properties of the neighborhood of vertices or other small substructures. On the other hand, kernels that do take global graph properties into account may not scale well to large graph databases. Here we propose to start exploring the spacebetween local and global graph kernels,...
This paper presents a Pose Invariant Face Recognition algorithm for pose-variance in face databases, which is one of the toughest challenges of any face recognition based biometrics, using a novel feature extraction technique. The feature extraction of the raw images is based upon a novel patch-wise self-similarity measure within an image. The algorithm has been tested upon a Far-infrared (FIR) imaging...
To solve the problem of performance appraisal of SME (Small and medium-sized enterprises) s' designers, this paper proposes a design method of appraisal system combining with product data management (PDM) workflow management. Designed a performance appraisal system model based on process management; taking into account the characteristics of supporting businesses, introduced a workflow template customization...
Positioning applications become more popular with the advancement of location aware services. Global Positioning System is a successful solution for outdoors whereas it is not suitable for indoor environments due to the lack of line of sight for radio frequency signals. Therefore, various systems have been developed to solve the indoor positioning problem. Enhancing the performance of these systems...
This paper proposes an algorithm for QRS-complex onset detection in single channel ECG signals based on the first differential of the ECG signal and an adaptive baseline estimation. The proposed algorithm was developed and tested using the Physionet QT Database. A 100% detection rate on the onset of the QRS complex, with a mean error±(standard deviation) of −0.48±(11.26) ms was achieved against the...
The performance of fingerprint based indoor localization techniques is significantly degraded by environmental dynamics especially when devices such as Wi-Fi access points (APs), which are used to build fingerprint database, are densely deployed. The primary reason is that the plug-and-play feature of these devices would render the fingerprints in the database invalid. Worsestill, the time-varying...
Physical therapy has a lot of importance for the well being and a better quality of living for an elderly patient. One integral constituent of any patient regime is the home-based exercise that a patient works on in a much comfortable environment. Although the benefits are well known, there is a big lag between the exercises prescribed by the therapists and the ones actually done by the patient. There...
Using solely the information retrieved by audio finger-printing techniques, we propose methods to treat a possibly large dataset of user-generated audio content, that (1) enable the grouping of several audio files that contain a common audio excerpt (i.e. are relative to the same event), and (2) give information about how those files are correlated in terms of time and quality inside each event. Furthermore,...
The paper presents the detailed description and analysis of the state-of-the-art and the key issues of scientific and technical decision-making efficiency assessment. In the introduction, specific features of science and innovation development in Russia as well as the main problems in scientific and technical solutions efficiency assessment are considered. The authors present structural and algorithmic...
Web applications can leak confidential user information due to the presence of unintended side-channel vulnerabilities in code. One particularly subtle class of side-channel vulnerabilities arises due to resource usage imbalances along different execution paths of a program. Such side-channel vulnerabilities are especially severe if the resource usage imbalance is asymptotic. This paper formalizes...
We present an energy efficient QRS detector for real-time ECG signal processing implemented in ASIC. An adaptive thresholding scheme based on forward search interval (FSI) algorithm together with simple preprocessing is proposed to accurately detect QRS peaks. The Verilog HDL codes with improved hardware utilization efficiency are validated using FPGA, achieving 99.59% sensitivity (Se) and 99.63%...
Using formal concept analysis, we propose a method for engineering ontology from MongoDB to effectively represent unstructured data. Our method consists of three main phases: (1) generating formal context from a MongoDB, (2) applying formal concept analysis to derive a concept lattice from that formal context, and (3) converting the obtained concept lattice to the first prototype of an ontology. We...
Despite great progress has been made in recent years, efficient and robust people detection continues to be a challenging problem in the filed of computer vision. In this paper, we propose a highly efficient indoor people detect method based on RGB-D sensor. First, two RGB and depth feature fusing strategies are proposed and compared. Secondly, an improved non-maximum suppression algorithm is proposed...
The field of non-biological ecosystem studies is riddled with different kind of ecosystems, connections and relations of which are rarely discussed. For example, the field of software ecosystems is influenced by both natural and business ecosystems, as studies have identified a strong inspiration from both. In this study, we survey the ecosystem literature and identify how different types of ecosystems...
Correct identity recognition based on a voice sample must deal with many problems such as too big or small distance from the microphone, noise or abnormal voice. Hoarseness, coughing or even stuttering can also be encountered as disturbance of the voice. Research on new aspects of intelligent processing for voice brings possibilities to use intelligent methods to increase efficiency in processing...
This paper focuses on real=time image recognition in video sequences A novel algorithm designed to be used specifically for finger spelling alphabet is introduced along with relevant qualitative comparison to current state of the art. The proposed concept introduces a new image feature selection technique used in comparation process, which significantly improves the recognition of finger spelling...
In this paper, we describe an approach for data integration that takes into account access control policies. In a data integration system, a mediator is defined as unique entry point providing transparent access to distributed, autonomous and heterogeneous data sources. In such an architecture, security issue and access control in particular is considered as challenging tasks. Indeed, every source,...
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