MapReduce is a programming paradigm for large-scale distributed information processing. This paper proposes a MapReduce algorithm for the minimum vertex cover problem, which is known to be NP-hard. The MapReduce algor...
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MapReduce is a programming paradigm for large-scale distributed information processing. This paper proposes a MapReduce algorithm for the minimum vertex cover problem, which is known to be NP-hard. The MapReduce algorithm can efficiently obtain a minimal vertex cover in a small number of rounds. We show the effectiveness of the algorithm through experimental evaluation and comparison with exact and approximate algorithms which demonstrates a high quality in a small number of MapReduce rounds. We also confirm from experimentation that the algorithm has good scalability allowing high-quality solutions under restricted computation times due to increased graph size. Moreover, we extend our algorithm to randomized one to obtain a good expected approximate ratio.
Prufer algorithm is a powerful method for topology vectorization, but the traditional prufer algorithm method can only encode a rootless labeled tree, and no prior work has studied the method of applying it to the gra...
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Prufer algorithm is a powerful method for topology vectorization, but the traditional prufer algorithm method can only encode a rootless labeled tree, and no prior work has studied the method of applying it to the graph vectorization. This paper proposes a vectorization method for undirected labeled graphs based on the prufer algorithm, including graph encoding and decoding algorithms. A particular case was discovered by preliminary experiments, which will reduce the accuracy of the coding algorithm (when the node size reaches more than 150, the accuracy can only reach about 60%), so a connectivity check mechanism that based on the Warshall algorithm is proposed and added to the coding algorithm. A large number of experimental verifications show that the accuracy of the coding algorithm can reach 100% after introducing this mechanism. Then the length of the vector generated by the coding algorithm is analyzed, and the results show that graph vectorization can improve the efficiency of partial topology calculation. Finally, the defects of the algorithm are discussed. The most significant defect is that the length of the vector generated by the encoding algorithm is uncertain, which will prevent it from being applied to more topological calculations.
Objective: To increase the optical path of gas absorption in a multi-pass cell (MPC), a dense spot pattern has been obtained on MPC to improve the accuracy of trace gas detection. In this study, an algorithm was propo...
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Objective: To increase the optical path of gas absorption in a multi-pass cell (MPC), a dense spot pattern has been obtained on MPC to improve the accuracy of trace gas detection. In this study, an algorithm was proposed to calculate the spot patterns of a new type of dense optical MPC. Method: In this novel algorithm, the reflected ray equation and spherical equation were combined to obtain the position coordinates of light spots on a mirror surface. The calculation was repeated by changing the reflected optical path parameters until a new dense light spot pattern was obtained. To verify the accuracy of the proposed algorithm, a series of spot numerical simulations and methane (CH4) concentration detection experiments were conducted. Results: Results showed that in an MPC with a double spherical mirror, a series of dense spot patterns located on the mirror surface was obtained by calculating off-axis incident rays using the new algorithm, effectively increasing optical path length, and obtaining an MPC with a long optical path of 12.92 m. CH4 concentration was detected by combining the long optical path MPC with a tunable diode laser absorption spectroscopy. A good linear relationship was established between the calibrated CH4 concentration and the peak of the second harmonic signal detected by the system. The minimum detection limit of the system for CH4 was 2.33 ppb at an integration time of 20 s obtained via Allan deviation analysis. The long optical path MPC system achieved high detection sensitivity. Hence, a new method for calculating the dense spot pattern of an MPC is provided in this work.
This paper addresses optimization problems related to the concept of eccentricity in a network, specifically focussing on minimizing radius, diameter, and average eccentricity within a given budget. We refer to these ...
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This paper addresses optimization problems related to the concept of eccentricity in a network, specifically focussing on minimizing radius, diameter, and average eccentricity within a given budget. We refer to these problems as the upgrading radius problem, upgrading diameter problem, and upgrading average eccentricity problem, respectively. We prove that all of these problems are $ \mathcal {NP} $ NP-hard in general networks. Additionally, we propose an $ \mathcal {O}(n<^>3) $ O(n3) algorithm to solve the upgrading average eccentricity problem when the underlying graph is a tree. Furthermore, we demonstrate that the upgrading radius and upgrading diameter problems can also be solved in polynomial time for trees. Keywords: Eccentric vertex - Average eccentricity-Complexity-Trees-radius-diameter.
The transmission efficiencies of combination logging data and imaging logging data are restricted under finite bandwidth. A lossless data compression method based on the characteristics of logging data is put forward,...
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The transmission efficiencies of combination logging data and imaging logging data are restricted under finite bandwidth. A lossless data compression method based on the characteristics of logging data is put forward, it can transfer the logging data to surface after they are compressed, and therefore the transmission efficiency of logging data is effectively improved. The compression plan, compression processing and algorithm are described. Different types of data are compressed using different compression methods, and the compression ratios of them are compared. It is shown that, the compression ratio of frame-related compression method is the greatest, and the compression ratios of other compression methods are smaller;the compression ratio of the first kind of data is greater, that of combination logging data is secondary, and that of imaging logging data is the least;the compression ratio slightly increases with the increase of the quantity of the data.
Many studies have investigated resonator structures and winding methods. The aims of this paper are as follows. First, the paper proposes an optimized winding model for a bio-inspired joint for a wireless power transf...
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Many studies have investigated resonator structures and winding methods. The aims of this paper are as follows. First, the paper proposes an optimized winding model for a bio-inspired joint for a wireless power transfer (WPT) system. The joint consists of a small spherical structure, which rotates inside a hemispherical structure. The transmitter coil (Tx) is wound on the hemisphere structure, and the receiver coil (Rx) is wound on the small sphere. The power is transferred while rotating Rx over a wide range of angular misalignment. In addition, the algorithm design of the proposed winding method is given to get an optimized model. Moreover, the circuit analysis of the WPT system is discussed. Second, the magnetic field density is investigated considering a safety issue, which is linked to human exposure to electromagnetic fields (EMFs). Moreover, EMF mitigation methods are proposed and discussed in detail. Finally, the simulation results are validated by experiments, which have confirmed that the proposed winding method allows the system to rotate up to 85 degrees and achieve an efficiency above 86%. The proposed winding method for the WPT system can be a good technique for some robotic applications or a future replacement of the human joint.
Network Function Virtualization (NFV) is a promising paradigm which can increase network flexibility by deploying newly network services into networks. Because of the flexibility, NFV is also considered as one of the ...
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Network Function Virtualization (NFV) is a promising paradigm which can increase network flexibility by deploying newly network services into networks. Because of the flexibility, NFV is also considered as one of the building blocks for 5G and edge computing. However, the intrinsic dynamic features of NFV and the rigorous requirements proposed by 5G and edge computing, such as delay, pose significant challenges to make the optimal Virtual Network Function (VNF) chain placement. To address this problem, we first formulate the VNF chain placement problem as an integer linear programming problem with taking the dynamic characteristics in to consideration. Then we propose an efficient dynamic algorithm, called DynAmic vnF placemenT (DAFT), which provides a good solution for VNF chain placement. DAFT is based on primal–dual technique and combines with an efficient subroutine which is solved by reducing to the shortest path problem. The theoretic analysis shows DAFT is ( 1 − 1 ∕ e ) -competitive to offline optimal solution. We also propose a modified algorithm concerning algorithm implementation issues, which is called Feasible DAFT (FDAFT). Finally, we evaluate the proposed algorithms through extensive numerical simulations. The experiment results show that DAFT and FDAFT achieve average competitive ratios up to 98.42% and 96.74%, respectively and outperform the compared algorithms around 50%.
A study is conducted to assess the implicit error associated with the use of the Goodman–Robinson rotation-vector equation in the presence of such angular motions, and to evaluate the potential of a simple algorithmi...
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A study is conducted to assess the implicit error associated with the use of the Goodman–Robinson rotation-vector equation in the presence of such angular motions, and to evaluate the potential of a simple algorithmic enhancement of this equation to improve attitude accuracy. The simplified Goodman–Robinson rotation-vector equation approximates the second term on the right-hand side of the first equation using the integral of the angular-rate vector instead of the rotation vector, with the third term being eliminated altogether. To determine the accuracy associated with the Goodman–Robinson rotation-vector equation, two angular-rate profiles are considered, such as a generalized angular rate and a coning angular rate.
A novel algorithm called Cooperative Binary Iterative Hard Thresholding (CB-IHT) based on distributed 1-bit compressive sensing is proposed in this paper. Taking advantage of the correlated nature of distributed signa...
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ISBN:
(纸本)9781479903085
A novel algorithm called Cooperative Binary Iterative Hard Thresholding (CB-IHT) based on distributed 1-bit compressive sensing is proposed in this paper. Taking advantage of the correlated nature of distributed signal processing, the proposed algorithm is aimed to fight against the error floor in the estimation of distorted sparse signal, with an array of agents recovering the target signal cooperatively. The principles of convex optimization, consistent reconstruction and greedy pursuit algorithm are combined in the algorithm design. With two joint sparsity models representing distortion of equivalent parallel AWGN channels and parallel fading channels separately, the algorithm is performed through extensive simulations, which show that with severe distortion and large bit-budget, estimation accuracy can be improved by simply increasing the array scale.
Despite the abundant research on energy-efficient rate scheduling polices in energy harvesting communication systems, few works have exploited data sharing among multiple applications to further enhance the energy uti...
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Despite the abundant research on energy-efficient rate scheduling polices in energy harvesting communication systems, few works have exploited data sharing among multiple applications to further enhance the energy utilization efficiency, considering that the harvested energy from environments is limited and unstable. In this paper, to overcome the energy shortage of wireless devices at transmitting data to a platform running multiple applications/requesters, we design rate scheduling policies to respond to data requests as soon as possible by encouraging data sharing among data requests and reducing the redundancy. We formulate the problem as a transmission completion time minimization problem under constraints of dynamical data requests and energy arrivals. We develop offline and online algorithms to solve this problem. For the offline setting, we discover the relationship between two problems: the completion time minimization problem and the energy consumption minimization problem with a given completion time. We first derive the optimal algorithm for the min-energy problem and then adopt it as a building block to compute the optimal solution for the min-completion-time problem. For the online setting without future information, we develop an event-driven online algorithm to complete the transmission as soon as possible. Simulation results validate the efficiency of the proposed algorithm.
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