Sergej Jakovlev

COMPARISON OF TWO HEURISTIC APPROACHES FOR SOLVING THE PRODUCTION SCHEDULING PROBLEM

Production scheduling problems attract a lot of attention among applied scientists and practitioners working in the field of combinatorial optimization and optimization software development since they are encountered in many different manufacturing processes and thus effective solutions to them offer great benefits. In this work, two commonly used heuristic methods for solving production scheduling problems, namely, the Nearest Neighbor (NN) and Ant Colony Optimization (ACO) have been tested on a specific real-life problem and the results discussed. The problem belongs to the class of Asymmetric Travelling Salesman Problems (ATSP), which is known as a hard type problem with no effective solutions for large scale problems available yet. The performances of the Nearest Neighbor algorithm and the Ant Colony Optimization technique were evaluated and compared using two criteria, namely: the minimum value of the objective function achieved and the CPU time it took to find it (including the statistical confidence limits). The conclusions drawn suggest that on one hand the ACO algorithm works better than NN if looking at the achieved minimum values of the objective function. On the other hand, the computational time of the ACO algorithm is slightly longer. http://dx.doi.org/10.5755/j01.itc.40.2.426

Outbound supply chain collaboration modelling based on the automotive industry

AbstractThe global financial crisis has highlighted shortcomings of logistics operations of many manufacturers. In Europe, the largest share of cargo is transported by road transport, where empty running accounts for about 27%. The statistical result reflects the inefficient use of transportation resources. Today it may be difficult to imagine the whole distribution chain of automobiles manufactured in Europe that would integrate all manufacturers. Nevertheless, in an effort to diminish the shortcomings of transport operations, automotive manufacturers and Logistics Service Providers (LSP) should pay more attention to logistics cooperation. The article presents the specific features of distribution networks of vehicles manufactured in Europe, also providing a scenario of integrating finished vehicle output of different vehicle manufacturers in a single distribution network. The demand for transport resources and efficiency of use of the resources was established according to the scenario. This article is ...

Prediction based context data dissemination and storage model for cooperative vehicular networks

The vehicle as the context information source generates a huge amount of different information including from physical vehicle and environment sensors. The implementation of an efficient and scalable model for information dissemination in VANETs confronts with major problems. In this dynamic environment, an increasing number of context dissemination messages are increasing channels utilization which affects the network performance. This article discusses analyses and assesses the key proposals how to deal with the context data dissemination and how to decrease the amounts of transferred and stored data in vehicular cooperation environment. This is one of the most important topics of the pervasive computing.

Recognizing emotions from human speech using 2-D neural classifier and influence the selection of input parameters on its accuracy

This paper deals with the comparison of different methods of speech features extraction for a neural network classifier. We have used a Kohohen self-organizing feature map (SOM) for output-stage classifier which is a specific type of artificial neural nets. The result of this research deals with the accuracy of emotion classifier and compares the two input combinations.

Communication Technologies for the Improvement of Marine Transportation Operations

Abstract The short-sea waterborne transportation makes use of several systems and technologies which are not interconnected neither interoperable, including inner ship mechanical and information, communication systems and complex alert situation and terrorist attack prevention systems located both in ports, inland and on-board the ships. Each single system and piece of technology delivers complex data, other information and functionalities which are vital for the working stability of all waterborne transport operations. The integration of specific decision support functionalities based on information and communication technologies (ICT) in the intelligent ship management systems could deliver new business functionalities and indeed make waterborne transportation more autonomous, efficient and safer. In this paper, current stages of development of the intelligent transportation concept are discussed and a robust ships systems integration and communication system concept is presented for several normal and abnormal situations: high-traffic, potentially dangerous situations or port approaching or ship maintenance, with the capability to solve problems with the limited human interface and with a remote control possibility.

Integration of mobile control systems into intermodal container transportation management

Abstract Over the last few years, a large number of researches have emerged and approached the use of mobile expert systems and other information management technologies in the area of intermodal container transportation and decision support. However, practitioner literature poorly analyzes the process of monitoring cargo transportation conditions, cargo information security and other important issues. The paper presents an emerging field of intermodal container transportation where the primary objective of the proposed mobile control system is to monitor cargo conditions during transportation in a real time manner and work as a decision support system. Also, the article evaluates potential risks involved in cargo transportation and therefore provides mobile cargo security assurance service. Computational results suggest using an optimum number of RFID and sensor readings to effectively manage the newly proposed elements of operation strategy in a conceptual strategy framework. The overall results indicat...

Research on ship autonomous steering control for short-sea shipping problems

AbstractToday most ship rotation angle (steering control during movement) increase or decrease is done using an operator on deck or the auxiliary system in the ships engine room. Formal regulations suggest using manual inspection of the ship rotation and the work effectiveness of the engine during manoeuvring in ports and in the open sea regions. The accuracy of this procedure is very low and depends on the personnel of the deck. Therefore, automation and computer control systems are constantly required to assist the human eye. This problem becomes clearly visible when dealing with full ship autonomy in the open sea in the short-sea shipping regions. The trend of maritime technology development will only increase in the area of human interaction decrease with the physical operations and the shipping procedures, which will lead to the future full ship autonomy in the open sea regions around the globe. With the growing automation technologies, predictive control can prove to be a better approach than the tr...

Advanced Approach of Multiagent Based Buoy Communication.

Usually, a hydrometeorological information system is faced with great data flows, but the data levels are often excessive, depending on the observed region of the water. The paper presents advanced buoy communication technologies based on multiagent interaction and data exchange between several monitoring system nodes. The proposed management of buoy communication is based on a clustering algorithm, which enables the performance of the hydrometeorological information system to be enhanced. The experiment is based on the design and analysis of the inexpensive but reliable Baltic Sea autonomous monitoring network (buoys), which would be able to continuously monitor and collect temperature, waviness, and other required data. The proposed approach of multiagent based buoy communication enables all the data from the costal-based station to be monitored with limited transition speed by setting different tasks for the agent-based buoy system according to the clustering information.

Surveillance systems for intermodal transportation

Intermodal container monitoring is considered a major security issue in many major logistic companies and countries worldwide. Current representation of the problem, we face today, originated in 2002, right after the 9/11 attacks. Then, a new worldwide Container Security Initiative (CSI, 2002) was considered that shaped the perception of the transportation operations. Now more than 80 larger ports all over the world contribute to its further development and integration into everyday transportation operations and improve the regulations for the developing regions. Although, these new improvements allow us to feel safer and secure, constant management of transportation operations has become a very difficult problem for conventional data analysis methods and information systems. The paper deals with a proposal of a whole new concept for the improvement of the Containers Security Initiative (CSI) by virtually connecting safety, security processes and systems. A conceptual middleware approach with deployable intelligent agent modules is proposed to be used with possible scenarios and a testbed is used to test the solution. Middleware examples are visually programmed using National Instruments LabView software packages and Wireless sensor network hardware modules. An experimental software is used to evaluate he solution. This research is a contribution to the intermodal transportation and is intended to be used as a means or the development of intelligent transport systems.

Vulnerabilities in GSM technology and feasibility of selected attacks

Global System for Mobile communication (GSM) is the most widespread technology for mobile communications in the world and serving over 7 billion users. Since first publication of system documentation there has been notified a potential safety problem’s occurrence. Selected types of attacks, based on the analysis of the technical feasibility and the degree of risk of these weaknesses, were implemented and demonstrated in laboratory of the VSB-Technical University of Ostrava, Czech Republic. These vulnerabilities were analyzed and afterwards possible attacks were described. These attacks were implemented using open-source tools, software programmable radio USRP (Universal Software RadioPeripheral) and DVB-T (Digital Video Broadcasting – Terrestrial) receiver. GSM security architecture is being scrutinized since first public releases of its specification mainly pointing out weaknesses in authentication and ciphering mechanisms. This contribution also summarizes practically proofed and used scenarios that are performed using opensource software tools and variety of scripts mostly written in Python. Main goal of this paper is in analyzing security issues in GSM network and practical demonstration of selected attacks.