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The tremendous growth rates of Internet and volume of content stored on its servers requires the creation of tools for automatic content analysis and processing. Intelligent systems for content processing aim to simplify and automate such tasks as content analysis and classification, finding keywords and building digests, distributing content according to specified criteria. This paper presents the...
A novel approach of a test environment for embedded networking nodes has been conceptualized and implemented. Its basis is the use of virtual nodes in a PC environment, where each node executes the original embedded code. Different nodes run in parallel, connected via so-called virtual channels. The environment allows to modifying the behavior of the virtual channels as well as the overall topology...
Projects are one of the most important organizational patterns in industry and society. Projects drive change and change takes place in a projectized world. Therefore, project management is a competence field which is required in many areas and on various competence levels. Master education in project management is a special type of delivery for project management competence. It combines a scientific...
This paper is the first attempt to carry out the system analysis of Internet of Things as a global and booming object. The hierarchical IoT division into subsystems has been made. The main function executed by certain subsystem is chosen as a criterion of division. The scale of degrees of risks, which can emerge because of negative factors, arising in each of the subsystems is offered. The scale of...
On the basis of Ukrainian university experience the project management methodology for the provision of educational services to the foreign customer was developed. In this methodology the general calculation of a quantitative assessment of the quality of teaching is applied. To significantly reduce the time for calculations, the universal computing program has been created. It allows to process extensive...
In the paper a thermal method for diagnostics the state of the aircraft external contour in flight is proposed. Results of the computer simulation and wind tunnel experiment on the possibility of detecting the moment, place, extent and type of damage to the condition of the aircraft external contour in flight are presented and analyzed. On the basis of the research results and proposed structural...
Problem of telemetry and telecontrol data transmission systems noise immunity at endpoints implementing in the Internet of Things technology is considered. A method of improving streaming data encryption in open communication channels was proposed. The dynamic change of crypto key using non-linear feedback in shift register data and quasi-periodic reconfigure of the encoder / decoder device in data...
This paper presents Model Reference Adaptive Control (MRAC) compared to Cascade PID control in order to evaluate their performances. The cascade control has an outer loop for the level control and an inner loop for flow control that can make the response faster. There the linearization technique is applied to obtain a new linear model. MRAC is designed based on Lyapunov theory and Barbalet's lemma...
Energy profiling in embedded systems is widely used in order to create a product that will run more with less charging periods. New technologies have been developed for both processing and communication modules of such systems that can be used in sensors networks and wearable applications. In this paper two different architectures that use Bluetooth Low Energy (BLE) as communication protocol are analyzed...
The need for information of the Earth's surface is growing as it is the base for applications such as monitoring the land uses or performing environmental studies, for example. In this context the effective change detection (CD) among multitemporal datasets is a key process that must produce accurate results obtained by computationally efficient algorithms. Most of the CD methods are focused on binary...
Preservation of biological diversity is one of priority tasks of the present time. Monitoring of the population during the migration from Europe and nesting on the coast of the Arctic Ocean plays an important role in the protection of European geese population. Traditionally, the main methods of geese population monitoring are those of route and area recording. The authors propose to study geese populations...
Gao [6] conjectured that if a general finite field has qn elements, and m is the smallest power of q greater or equal to n, then there exists a polynomial g (x) ∊ Fq [x] of degree at most 2 ⌈log2 n⌉ such that xm − g (x) has an irreducible factor f (x) of degree n. If the conjecture holds, this guarantees existence of high order elements that are used in the known cryptographic primitives. The conjecture...
This study aims to explore and identify effective communication practices influencing performance of international development projects in Pakistan and also illustrates important project complexity elements which moderates the relationship between effective communication and project performance. After detailed literature review and conducting 9 expert interviews from project managers, project coordinators...
The task of Sparse Symmetric Nonnegative Matrix Factorization(SSNMF) is formulated as optimization problem and solved numerically with the method of projected gradients descent. The adjustable sparsity level allows to emphasize the most significant object features. Clustering of the Yale Faces data set shows that SSNMF provides the same level of quality as common clustering approaches.
The approach to the integration of applications based on mathematical logic and artificial intelligence for World Data Center (WDC) interdisciplinary scientific investigations has been developed in the article. Key elements of the approach are a multilevel system architecture, a formal logical system, implementation based on the interaction of intelligent agents. The formal logical system has been...
Due to climate change and scarcity of water reservoirs, monitoring and control of irrigation systems is now becoming a major focal area for researchers in Cyber-Physical Systems (CPS). Wireless Sensor Networks (WSNs) are rapidly finding their way in the field of irrigation and play the key role as data gathering technology in the domain of IoT and CPS. They are efficient for reliable monitoring, giving...
Image match has been widely used in computer vision, pattern recognition and image processing. The matching efficiency is a focus topic in the field and some methods have been presented, such as simplification of similarity measure, application of optimization algorithms. Particle swarm optimization algorithm (PSO) has been utilized successfully for image match. However, it is easy to fall into the...
The paper presents some models based on artificial neural networks for particulate matter concentration forecasting. A methodology framework is proposed for selecting the best forecasting model from a set of neural networks models. First, two artificial neural network types (feed forward and radial basis) are analyzed for concentration forecasting of the particulate matter with diameter less than...
The description of the main steps of the method for determining the coordinates of the extrema of periodic signals is given. This method is based on multi-start optimization using the wavelet transform. Such an approach makes it possible to increase noise resistance and reduce sensitivity to local extrema of periodic signals. The evaluation of the possibilities of this method was carried out by determining...
CH-AVATAR is a context-aware platform for tourists and visitors of Cultural Heritage sites. Cultural Heritage objects (CH objects) become “alive” within the platform. They tell their stories and interact with tourists. The platform employs BLE beacons and the visitor's smartphone or tablet to create an interactive and adaptive Cultural Heritage experience for its end users. The paper makes a generic...
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