Multi-layer Architecture For Storing Visual Data Based on WCF and Microsoft SQL Server Database

In this paper we present a novel architecture for storing visual data. Effective storing, browsing and searching collections of images is one of the most important challenges of computer science. The design of architecture for storing such data requires a set of tools and frameworks such as SQL database management systems and service-oriented frameworks. The proposed solution is based on a multi-layer architecture, which allows to replace any component without recompilation of other components. The approach contains five components, i.e. Model, Base Engine, Concrete Engine, CBIR service and Presentation. They were based on two well-known design patterns: Dependency Injection and Inverse of Control. For experimental purposes we implemented the SURF local interest point detector as a feature extractor and $K$-means clustering as indexer. The presented architecture is intended for content-based retrieval systems simulation purposes as well as for real-world CBIR tasks.Comment: Accepted for the 14th International Conference on Artificial Intelligence and Soft Computing, ICAISC, June 14-18, 2015, Zakopane, Polan

Bag-of-Features Image Indexing and Classification in Microsoft SQL Server Relational Database

This paper presents a novel relational database architecture aimed to visual objects classification and retrieval. The framework is based on the bag-of-features image representation model combined with the Support Vector Machine classification and is integrated in a Microsoft SQL Server database.Comment: 2015 IEEE 2nd International Conference on Cybernetics (CYBCONF), Gdynia, Poland, 24-26 June 201

Differential Evolution Algorithm in the Construction of Interpretable Classification Models

In this chapter, the application of a differential evolution-based approach to induce oblique decision trees (DTs) is described. This type of decision trees uses a linear combination of attributes to build oblique hyperplanes dividing the instance space. Oblique decision trees are more compact and accurate than the traditional univariate decision trees. On the other hand, as differential evolution (DE) is an efficient evolutionary algorithm (EA) designed to solve optimization problems with real-valued parameters, and since finding an optimal hyperplane is a hard computing task, this metaheuristic (MH) is chosen to conduct an intelligent search of a near-optimal solution. Two methods are described in this chapter: one implementing a recursive partitioning strategy to find the most suitable oblique hyperplane of each internal node of a decision tree, and the other conducting a global search of a near-optimal oblique decision tree. A statistical analysis of the experimental results suggests that these methods show better performance as decision tree induction procedures in comparison with other supervised learning approaches

Autonomous vehicles: basic issues

The work was dedicated to the subject of innovative autonomous vehicles on the transport market. The paper presents basic information about autonomous cars: a nomenclature characteristic of autonomous vehicles, along with the terms “automatic”, “autonomous”, “self-drive” and “driverless”. The article also presents various types of autonomous cars based on the most popular classifications in the world. The purpose of the work is to present basic issues related to autonomous vehicles

Multicast Connections in Wireless Sensor Networks with Topology Control, Journal of Telecommunications and Information Technology, 2016, nr 1

The article explores the quality of multicast trees constructed by heuristic routing algorithms in wireless sensor networks where topology control protocols operate. Network topology planning and performance analysis are crucial challenges for wire and wireless network designers. They are also involved in the research on routing algorithms, and protocols for these networks. In addition, it is worth to emphasize that the generation of realistic network topologies makes it possible to construct and study routing algorithms, protocols and traffic characteristics for WSN networks

Including Financial Criteria in the Strategic Planning of Knowledge Repository Operation

Abstract: This paper presents an application of roadmapping methodology to establish a strategic plan for an innovative knowledge repository providing dynamically updated economic information, online courses and other data. The repository will fulfill relevant information provision tasks for a few target communities of users, including financial auditors and academia. The diversified scope of planned actions contributed to a higher degree of complexity of strategy planning optimization. This was the reason to choose roadmapping as a framework for the decision-support and selection process. First, we will present an extension of the roadmapping methodology that will allow to solve the above planning problem. It turns out that – as far as the financial criteria are concerned - the real options are a natural and useful tool to describe the relations between different variants of the roadmapping objects deployment plans corresponding to the planning scenarios and the associated financial yields. Moreover, we will show that the financial valuation of operation plans may be easily combined with the SWOTC (SWOT with Challenges) assessment of roadmapping objects. Rights gained during the repository operation as well as the liabilities can be modeled by long or short real-option positions, respectively. The iterative dependence of future investment opportunities on previous outcomes will be modeled by nested real options, and embedded into an anticipatory network that allows to model the expected consequences of implementing an operation strategy. The provision of new content and services on the platform will be modelled as an innovation development and market placement problem (NPD-MP). The latter is a dynamic four-criteria problem with options-enhanced NPV (ENPV) – aggregating subordinated momentary financial performance criteria, options- affected risk (ER), social impact index (SII), and the Strategic Position Index (SPI). The multicriteria optimization problem so arisen will be solved during an interactive group decision procedure with the roadmapping methodology. As a final result, we will provide an example of a building an exploitation strategy for the digital platform established within the H2020 project MOVING