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Fundamenta Informaticae is an international journal publishing original research results in all areas of theoretical computer science. Papers are encouraged contributing:
- solutions by mathematical methods of problems emerging in computer science
- solutions of mathematical problems inspired by computer science.
Topics of interest include (but are not restricted to): theory of computing, complexity theory, algorithms and data structures, computational aspects of combinatorics and graph theory, programming language theory, theoretical aspects of programming languages, computer-aided verification, computer science logic, database theory, logic programming, automated deduction, formal languages and automata theory, concurrency and distributed computing, cryptography and security, theoretical issues in artificial intelligence, machine learning, pattern recognition, algorithmic game theory, bioinformatics and computational biology, quantum computing, probabilistic methods, & algebraic and categorical methods.
Authors: Caron, Pascal | Luque, Jean-Gabriel | Patrou, Bruno
Article Type: Research Article
Abstract: We improve some results relative to the state complexity of the multiple catenations described by Gao and Yu. In particular we nearly divide by 2 the size of the alphabet needed for witnesses. We also give some refinements to the algebraic expression of the state complexity, which is especially complex with this operation. We obtain these results by using peculiar DFAs defined by Brzozowski.
DOI: 10.3233/FI-2018-1683
Citation: Fundamenta Informaticae, vol. 160, no. 3, pp. 255-279, 2018
Authors: Elouasbi, Samir | Pelc, Andrzej
Article Type: Research Article
Abstract: Two mobile agents, starting at arbitrary, possibly different times from arbitrary locations in the plane, have to meet. Agents are modeled as discs of diameter 1, and meeting occurs when these discs touch. Agents have different labels which are positive integers. Each agent knows its own label, but not the label of the other agent. Agents are equipped with compasses and have synchronized clocks. They make a series of moves. Each move specifies the direction and the duration of moving. This includes a null move which consists in staying inert for some time, or forever. In a non-null move …agents travel at the same constant speed, normalized to 1. We assume that agents have sensors enabling them to estimate the distance from the other agent (defined as the distance between centers of discs), but not the direction towards it. We consider two models of estimation. In both models an agent reads its sensor at the moment of its appearance in the plane and then at the end of each move. This reading (together with the previous ones) determines the decision concerning the next move. In both models the reading of the sensor tells the agent if the other agent is already present. Moreover, in the monotone model , each agent can find out, for any two readings in moments t 1 and t 2 , whether the distance from the other agent at time t 1 was smaller, equal or larger than at time t 2 . In the weaker binary model , each agent can find out, at any reading, whether it is at distance less than ρ or at distance at least ρ from the other agent, for some real ρ > 1 unknown to them. Such distance estimation mechanism can be implemented, e.g., using chemical sensors. Each agent emits some chemical substance (scent), and the sensor of the other agent detects it, i.e., sniffs . The intensity of the scent decreases with the distance. In the monotone model it is assumed that the sensor is ideally accurate and can measure any change of intensity. In the binary model it is only assumed that the sensor can detect the scent below some distance (without being able to measure intensity) above which the scent is too weak to be detected. We show the impact of the two ways of sensing on the cost of meeting, defined as the total distance travelled by both agents until the meeting. For the monotone model we show an algorithm achieving meeting at cost O (D ), where D is the initial distance between the agents. This complexity is optimal. For the binary model we show that, if agents start at distance smaller than ρ (i.e., when they sense each other initially) then meeting can be guaranteed at cost O (ρ log λ ), where λ is the larger label, and that this cost cannot be improved in general. Finally we observe that, if agents start at distance αρ , for some constant α > 1 in the binary model, then sniffing does not help, i.e., the worst-case optimal meeting cost is of the same order of magnitude as without any sniffing ability. Show more
Keywords: algorithm, rendezvous, mobile agent, synchronous, deterministic, plane, distance
DOI: 10.3233/FI-2018-1684
Citation: Fundamenta Informaticae, vol. 160, no. 3, pp. 281-301, 2018
Authors: Sandhu, Jasminder Kaur | Verma, Anil Kumar | Rana, Prashant Singh
Article Type: Research Article
Abstract: In Small Scale Wireless Sensor Networks (SSWSNs), reliability is defined as the capability of a network to perform its intended task under certain conditions for a stated time span. There are many tools for modeling and analyzing the reliability of a network. As the intricacy of various networks is increasing, there is a need for many sophisticated methods for reliability analysis. The term reliability is used as an umbrella term to capture various attributes such as safety, availability, security, and ease of use. The existing methods have many shortcomings which include inadequacy of a novel framework and inefficacy to handle …scalable networks. This paper presents a novel framework which predicts the overall reliability of the SSWSNs in terms of performance metrics such as, sent packets, received packets, packets forfeit, packet delivery ratio and throughput. This framework includes various phases starting with scenario generation, construction of a dataset, applying ensemble based machine learning techniques to predict the parameters which cannot be calculated. The ensemble model predicts with an optimum accuracy of 99.9% for data flow, 99.9% for the protocol used and 97.6% for the number of nodes. Finally, to check the robustness of the ensemble model 10-fold cross-validation is used. The dataset used in this work is available as a supplement at http://bit.ly/SSWSN-Reliability . Show more
Keywords: Small Scale Wireless Sensor Networks, Reliability, Machine Learning, Network Prediction, Ensemble
DOI: 10.3233/FI-2018-1685
Citation: Fundamenta Informaticae, vol. 160, no. 3, pp. 303-341, 2018
Article Type: Research Article
Abstract: Keystreams of a degenerate stream cipher can be generated by another stream cipher of less bits, and recursive description of stream ciphers is useful in cryptanalysis. Two algorithms are proposed based on directed graphs informing whether each pair of bits are related in the state transition: One tests two categories of degenerate synchronous additive stream ciphers, particularly for realistic stream ciphers with sparse transition equations; the other finds a recursive description of a given stream cipher. Specially, the latter algorithm has to balance the efficiency and the number of sequences for a recursive description, and a sufficient condition is given …to test degeneracy based on the recursive description. Show more
Keywords: Stream cipher, degeneracy, feedback graph, component graph, feedback vertex set
DOI: 10.3233/FI-2018-1686
Citation: Fundamenta Informaticae, vol. 160, no. 3, pp. 343-359, 2018
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