Norbert Adam

Data preprocessing for efficient evaluation of network traffic parameters

This paper deals with recent results of a supporting mechanism for efficient evaluation of network traffic parameters. Most of the network monitoring tools store the measured data in a database for the later analysis. With the growth of the data in the database, processing of queries is becoming more and more time consuming. This fact results in an excessive response time of the database, which subsequently brings an adverse impact on the monitoring tool. While most of the monitoring tools make evaluations on the basis of outdated data from a database, the vast majority of them have to deal with this problem. In this contribution a new approach of efficient network traffic data evaluation through a database will be introduced, while the main attention will be dedicated to the implementation details.

Preparing databases for network traffic monitoring

This paper deals with the solution of database related problems which can occur during network traffic monitoring. During data evaluation through a database excessive response time can be noticed. While the time necessary to obtain the data from the database has a significant effect on the result of the monitoring, it is important to keep its value as low as possible. Practically, the vast majority of the monitoring tools have to deal with the problems related to the databases excessive response time, so their solution is really justified. In this paper an alternative method of network monitoring, the BasicMeter tool will be introduced by which the exact problems and their solution will be illustrated.

The process control for P-single operators

The architecture described in this article belongs to a class of dynamic data flow architectures, in which the operand process control significantly affects the performance parameters as well as the system characteristics of the given architecture. The main component of the presented architecture is the multifunctional pipeline unit, which handles processing of data tokens representing the instructions of the program. This article describes the pipelined single operand data flow operators process control.

Priority of instructions execution and DFG mapping techniques of computer architecture with data driven computation model

The article introduces proposed computer architecture with data driven computation model based on principles of tile computing as the modern approach to multi-core design of microprocessors. Special attention is paid to the description of characteristics of architecture, which are priority of instructions execution with coloring of instruction priorities, data flow graph mapping technique and multi-mapping technique, which are proposed within this architecture. Architecture is developed at the Department of Computers and Informatics, Faculty of Electrical Engineering and Informatics, Technical University of Košice. The work is one of reached results within projects APVV-0008-10 and KEGA project No. 3/7110/09, being solved at the Department of Computers and Informatics, Faculty of Electrical Engineering and Informatics, Technical University of Košice.

Operand processing and P-single operators

The data flow model of execution offers attractive properties for parallel processing. First, it is asynchronous: Because the readiness of data dictates the instruction execution. Second, it is self-scheduling: The data flow graph representation of a program eliminates the need to explicitly manage parallel execution. The architecture described in this article belongs to a class of dynamic dataflow architectures, in which the operand process control significantly affects the performance parameters as well as the system characteristics of the given architecture.

Task scheduling in distributed system for photorealistic rendering

Today Computer graphics belongs to intensive developing areas of informatics. For realization calculations imaging of 3D objects in computer graphics are needs high efficient computers, which enable user to work with graphic information. One option to achieve needed power for photorealistic imaging is to use distributed systems. By planning system is considered static assigning and sharing of scene based on areas. This project will make imaging more effective from time aspect in distributed systems, because nod utilization will be balanced.

Artificial neural network based IDS

The Network Intrusion Detection Systems (NIDS) are either signature based or anomaly based. In this paper presented NIDS system belongs to anomaly based Neural Network Intrusion Detection System (NNIDS). The proposed NNIDS is able to successfully recognize learned malicious activities in a network environment. It was tested for the SYN flood attack, UDP flood attack, nMap scanning attack, and also for non-malicious communication.

Security sandbox based on RBAC model

The article presents a security solution of mapping RBAC model in to Linux kernel systems. RBAC management model represents an effective concept of mapping user organization structure to access control of computer systems objects. Definition of RBAC model roles allows declaring permitted operations with specified security policy. Based on the roles, system management model provides a comprehensive system protection against security threats and misuse of user credentials. The result of this paper is a set of defined roles forming security sandboxes within defined security policies of particular roles.

Brain-computer interface and Arduino microcontroller family software interconnection solution

Brain-Computer Interface (BCI) is the modern approach to the construction of the Human-Machine Interface (HMI) that interconnects human brain and the machine and allows to send commands to the machine directly from the central nervous system (CNS) and especially the brain. Great popularity of the Arduino microcontroller board family and integration of its members into many projects including amateur, professional, industrial and scientific solutions impelled us to design software solution, that helps integrate Brain Computer Interface comprising Emotiv EPOC Neuroheadset with Arduino microcontroller boards. The paper introduces concept of the Brain-Computer Interface in its first section and possibilities of its use. Next section of the paper describes Emotiv EPOC Neuroheadset, which is the part of the BCI, with function of the electroencephalograph (EEG) that non-invasively monitors the electromagnetic manifestations of neural activity of the human central nervous system (CNS), mainly the brain. Using the proprietary software installed on the host computer software transforms acquired signals into the commands that are then executed via third party software. Another part of the paper introduces Arduino microcontroller board family and the last part describes proposed software solution that provides software interface between Emotiv EPOC Neuroheadset software and Arduino microcontroller boards.

Distributed computer emulation: Using OpenCL framework

The idea of distributed computer emulation is presented within this paper. Since classic emulation techniques put the power load on the host CPU only, the new approach tries to distribute the load among other available processors within the host platform. The implementation uses OpenCL framework. This standard allows writing high parallel and portable programs in ISO C99 subset language, runnable on heterogeneous platforms that include variety of CPU, GPU or other processors. The aim is to present key concepts and ideas about the implementation of an emulator imitating any of the Flynns computers.