Quantum simulation is a promising way toward practical quantum advantage, but noise in current quantum hardware poses a significant obstacle. We theoretically and numerically revealed that not only the physical error ...
Most of the current dynamic binary translation (DBT) systems are single-threaded and many orders of magnitude slower than native execution. Although multi-core processors are becoming more and more prevalent, the sing...
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Smart card-based authentication is considered as one of the most excessively used and applied solutions for remote user authentication. In this paper, we display Wang et al.'s scheme and indicate many shortcomings...
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In recent years, the Web browser achieved huge popularity in academic as well as industrial circles. A large number of web services and applications are trying to make their performance efficient. Decreasing the waiti...
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Multicast is very useful way for large-scale distributing multimedia over the network. It can significantly reduce the bandwidth required to transmit same multimedia over the network to multiple receivers. This proper...
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We propose an approach to placing usage-constraints on RT credentials;issuers specify constraints by designing non-deterministic finite automata. We show by examples that this approach can express constraints of pract...
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A major task of sports analytics is to rank players based on the impact of their actions. Recent methods have applied reinforcement learning (RL) to assess the value of actions from a learned action value or Q-functio...
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High-utility item-set mining has become a very crucial topic of research in recent times. It is used to find profitable products utilizing both profit factors and the quantity as opposed to the association rule mining...
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High-utility item-set mining has become a very crucial topic of research in recent times. It is used to find profitable products utilizing both profit factors and the quantity as opposed to the association rule mining or the frequent item-set mining. There are many algorithms that are proposed for mining, such high-utility item-sets, and almost all algorithms will need to grip an exponential search space for learning the high-utility item-sets. To handle the exponential search space, metaheuristic algorithms are used to find optimal solutions. Here, an optimization method depending on the grey wolf optimization and dolphin echolocation-optimization has been proposed for finding high-utility item-sets. The grey wolf optimization algorithm can be an interesting one owing to the strategy of group foraging. All conventional grey wolf optimization will deal with the problems of continuous optimization. In dolphin echolocation-optimization, as soon as the dolphin manages to reach the food, the search is reduced, and there is an increasing click made that directs food to the site where food is. The procedure also feigns dolphin echolocation by means of preventive exploration, and this is relational its target distance. In connection to the problems in optimization, there can be a particular features-set, which include progress of various hunting preys that sing echo sounding among dolphins, those having problems in answering. A hybrid dolphin echolocation-optimization (hybrid dolphin echolocation-binary grey wolf optimization) is proposed with a novel mechanism for finding global solutions. In this work, hybrid dolphin echolocation-binary grey wolf optimization algorithm is proposed. The dolphin echolocation-optimization had taken as it can be a promising solution and the Boolean format of grey wolf optimization is used. It works as a global search solution to distinguish the high-utility item-sets. The results prove that the dolphin echolocation-binary grey wolf optimizat
Virtualization can divide or aggregate the underlying resource flexibly, and it attracts attention from both academic and industry in recent years. Guest operating systems in virtual machines can be various, and the s...
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Most of the existing work on skyline query has been extensively used in decision support, recommending systems etc, and mainly focuses on the efficiency issue for a single table. However the data retrieved by users fo...
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