The multi-peg Towers of Hanoi problem is still open. No provably optimal constructive algorithm to solve the problem is known. The minimum number of moves required is also unknown. This paper analyses the properties o...
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The multi-peg Towers of Hanoi problem is still open. No provably optimal constructive algorithm to solve the problem is known. The minimum number of moves required is also unknown. This paper analyses the properties of an optimal algorithm and presents a deterministic algorithm to solve the problem. An execution trace of the algorithm is given. An important conjecture called the serialization conjecture is presented. The proposed algorithm is proved to be optimal subject to thc validity of the conjecture. (C) 2000 Published by Elsevier Science B.V. All rights reserved.
The localization of devices is a key ingredient of Internet of Things (IoT) which may require extra cost for deploying anchor nodes aware of their position. In this work, we propose a range-free localization algorithm...
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The localization of devices is a key ingredient of Internet of Things (IoT) which may require extra cost for deploying anchor nodes aware of their position. In this work, we propose a range-free localization algorithm, called DRONE RANGE-FREE (briefly, DRF), that replaces the anchor nodes with an off-the-shelf drone. When the radio communications are isotropic, our algorithm localizes the IoT devices ensuring the level of precision required by the final user. However, since an isotropic antenna that propagates its signal in a perfect sphere does not exist in reality, we face a more realistic scenario by proposing an enhanced version of our localization algorithm, called DRONE RANGE-FREE ENHANCED (briefly, DRFE), that well tolerates high degrees of irregularity of the antenna signal. Under the anisotropic model, DRF and DRFE exceed in precision all the computational-light previous known range-free localization algorithms based on a mobile rover. (C) 2019 Elsevier B.V. All rights reserved.
In this paper, we investigate the optimal assignment problem, which assigns cells in Personal Communication Service to switches on Asynchronous Transfer Mode network in an optimum manner. The cost has two components: ...
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In this paper, we investigate the optimal assignment problem, which assigns cells in Personal Communication Service to switches on Asynchronous Transfer Mode network in an optimum manner. The cost has two components: one is the cost of handoffs that involve two switches, and the other is the cost of cabling. This problem is model as dual-homing cell assignment problem, which is a complex integer programming problem. Since finding an optimal solution of this problem is NP-hard, a stochastic search method, based on a genetic approach, is proposed to solve this problem. In this paper, domain-dependent heuristics are encoded into crossover operations, mutations of genetic algorithm (GA) to solve this problem. Simulation results show that GA is robust for this problem. (C) 2002 Elsevier Science B.V. All rights reserved.
Scaled matching refers to the problem of finding all locations in the text where the pattern, proportionally enlarged according to an arbitrary integral scale, appears. Scaled matching is an important problem that was...
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Scaled matching refers to the problem of finding all locations in the text where the pattern, proportionally enlarged according to an arbitrary integral scale, appears. Scaled matching is an important problem that was originally inspired by problems in Vision. However, in real life, a more natural model of scaled matching is the real scaled matching model. Real scaled matching is an extended version of the scaled matching problem allowing arbitrary real-sized scales, approximated by some function, e.g., truncation. It has been shown that the scaled matching problem can be solved in linear time. However, even though there has been follow-up work on the problem, it remained an open question whether real scaled matching could be solved faster than the simple solution of O(nm) time, where n is the text size and m is the pattern size. Using a new approach we show how to solve the real scaled matching problem in linear time. (C) 1999 Elsevier Science B.V. All rights reserved.
This letter proposes a novel Hybrid Slot Allocation Mechanism (HSAM) to solve the high collision problem among four Access Categories (ACs) introduced by IEEE 802.11e EDCA protocol. In the HSAM, three time slots are a...
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This letter proposes a novel Hybrid Slot Allocation Mechanism (HSAM) to solve the high collision problem among four Access Categories (ACs) introduced by IEEE 802.11e EDCA protocol. In the HSAM, three time slots are assembled into a super-slot, each slot in the super slot is allocated to a particular AC according to its priority. The main idea of HSAM is to stagger the transmission slots of different ACs to reduce collisions, while maintaining the service differentiation. Extensive results from simulations have demonstrated good performance of HSAM comparing with EDCA protocol in terms of throughput, packet loss and MAC delay. (C) 2013 Elsevier B.V. All rights reserved.
Fuzzy permutation graph (FPG) plays a significant role in solving real-life problems where the scope and application of crisp permutation graph get limited due to the fuzziness involved in real situations. In this art...
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Fuzzy permutation graph (FPG) plays a significant role in solving real-life problems where the scope and application of crisp permutation graph get limited due to the fuzziness involved in real situations. In this article an algorithm is designed to find out all maximal fuzzy cliques of a FPG. A similar algorithm is developed at the same time to find out all maximal fuzzy independent sets of the said graph. The inter-relationship between FPG and its two types of complements is presented based on the facts and theories established on fuzzy cliques and fuzzy independent sets. The importance of fuzzy cliques of FPG is discussed through an application on a daily-life problem. The unique property of a FPG having two types of complement graphs help us to solve many useful problems. Here, we have shown how this property of FPG helps us to overcome a hazardous situation occurred due to disrupted scheduling of trains on a foggy day.
In this paper, we propose a new algorithm to detect and extract natural snow from video. We detect the snow particle from images or videos by a series of filters, and each of these filters can recognize the features o...
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In this paper, we propose a new algorithm to detect and extract natural snow from video. We detect the snow particle from images or videos by a series of filters, and each of these filters can recognize the features of snow efficiently. We label snow in videos and extract the alpha value of the snow particles by alpha matting. Our method can be applied to many fields such as background reconstruction. Experimental results show that our method is effective. (C) 2010 Elsevier B.V. All rights reserved.
We design a primal-dural heuristic for the submodular set cover problem and analyze its performance giving an approximation bound as a generalization of the one for the set cover problem. As an application, a capacita...
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We design a primal-dural heuristic for the submodular set cover problem and analyze its performance giving an approximation bound as a generalization of the one for the set cover problem. As an application, a capacitated version of the partial vertex cover problem on hypergraphs with edge size at most d is considered. It will be shown that the problem can be approximated in polynomial time within a factor of d of the optimum, generalizing some existing results. (C) 1999 Elsevier Science B.V. All rights reserved.
The multi-peg Towers of Hanoi problem is still open. No provably optimal constructive algorithm to solve the problem is known. The minimum number of moves required is also unknown. Though optimal solutions are observe...
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The multi-peg Towers of Hanoi problem is still open. No provably optimal constructive algorithm to solve the problem is known. The minimum number of moves required is also unknown. Though optimal solutions are observed to be non-unique, the exact uniqueness criteria of an optimal solution are little known to the literature. This paper revisits a deterministic algorithm conjectured to optimally solve the problem and addresses the uniqueness characteristics of an optimal solution.
Polynomial multiplication and its variants are a key ingredient in effective computer algebra. While verifying a polynomial product is a well known task, it was not yet clear how to do a similar approach for its middl...
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Polynomial multiplication and its variants are a key ingredient in effective computer algebra. While verifying a polynomial product is a well known task, it was not yet clear how to do a similar approach for its middle product variant. In this short note, we present a new algorithm that provides such a verification with the same complexity and probability that for the classical polynomial multiplication. Furthermore, we extend our algorithm to verify any operations that compute only a certain chunk of the product, which is the case for instance of the well known short product operation. (C) 2018 Elsevier B.V. All rights reserved.
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