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The photoelectric conversion efficiency of photovoltaic cells is mainly affected by two factors, two factors are the operating temperature of the photovoltaic cell and the irradiance of the sun. In order to improve the photoelectric conversion efficiency of photovoltaic cells, combining with the two factors that affect photoelectric conversion efficiency of photovoltaic cells and the merits and demerits...
The minimum mean square error (MMSE) algorithm can achieve the near-optimal detection performance in Massive MIMO system. However, it involves complicated matrix inversion. In this paper, a Chebyshev symmetrical successive over-relaxation iteration algorithm (CSSOR) based on the characteristic of channel hardening in massive MIMO system is proposed to avoid matrix inversion, whose the computational...
The influence of temperature, irradiance and shielding ratio on the output characteristic curve of photovoltaic cells was studied in this paper. In order to improve the photoelectric conversion efficiency of photovoltaic cells, combining three major factors that affect photovoltaic cells, a maximum power point tracking (MPPT) scheme based on large variation genetic algorithm was proposed. In this...
Safety and efficiency of carrier flight deck are two important factors that have great effects on the comprehensive performance of carrier. This paper studies on path planning algorithms for carrier aircraft on the deck in consideration of safety and efficiency requirements. Firstly, a kinematic model of the carrier aircraft, obstacle avoidance models and boundary constraints are proposed. Subsequently,...
Today, big data applications can generate largescale data sets at an unprecedented rate; and scientists have turned to parallel and distributed systems for data analysis. Although many big data processing systems provide advanced mechanisms to partition data and tackle the computational skew, it is difficult to efficiently implement skew-resistant mechanisms, because the runtime of different partitions...
Spectrum data, which is usually characterized by many dimensions, such as location, frequency, time and signal strength, presents formidable challenges in terms of acquisition, processing and visualization. In practice, a portion of spectrum data entries may be unavailable due to the interference during the acquisition process or the compression during the sensing process. However, the completion...
Cloud Map-Reduce (CMR) is an advantage Map-Reduce platform and has been aroused more and more attention. To further balance the performance of job secluding among job cost, execution time and energy consumption, a locality-aware and energy-aware job pre-assignment algorithm is proposed for Map-Reduce of CMR in this paper. Firstly, the importance of rack in data locality and energy saving is analyzed...
Deduplication technology has been increasingly used to reduce the primary storage cost. In practice, it often causes additional on-disk fragmentation that impairs the reading performance. Existing deduplication algorithms mainly focus on the static data layout design so that the random I/O requests are largely avoided and the harmful effect can be alleviated. However, our trace-driven emulations show...
Classification of microarray data has always been a challenging task due to the enormous number of genes. Finding a small, closely related gene set to accurately classify disease cells is an important research problem. Integrating biological knowledge into genomic analysis to help to improve the interpretation of the results is an effective approach. In this paper, affinity propagation (AP) clustering...
The blade vibration of the wind turbine is mainly caused by the natural vibration of the blade, the random vibration of the wind and vibration of the bearing of the input side. Collecting vibration wave on the blade and surrounding, then separate the independent waveforms from the collected waveforms by fixed point fast separation (Fast ICA) algorithm, finally, make analysis of the spectrum of the...
The article based on the MATLAB software simulation was carried out on the image fusion, by using wavelet transform method, Lap lace pyramidal decomposition method and weighted average method of image fusion, respectively. And the integration of subjective evaluation and objective evaluation on the experimental results. The experimental results show that the wavelet transform method in image fusion...
The leak of sensitive data on computer systems poses a serious threat to organizational security. Organizations need to identify the exposure of sensitive data by screening the content in storage and transmission, i.e., to detect sensitive information being stored or transmitted in the clear. However, detecting the exposure of sensitive information is challenging due to data transformation in the...
A global-crowding-distance based multi-objective particle swarm optimization (GCDMOPSO) algorithm is proposed in this paper. The concept of global crowding distance is introduced into the proposed algorithm to estimate the density of the non-dominated solutions in the external archive, and a dynamic global-crowding-distance based maintenance scheme is used to prune the external archive. Meanwhile,...
To solve the contradiction between massive network information and limited learning needs, personalized recommendation service becomes the hotspot in research area. User characteristics analysis is the key point in personalized recommendation service. Based on the massive web access log in the web server, this research gradually puts forward the steps of user characteristics analysis which including...
Selecting a feature subset with strong discriminative power is a critical process for high dimensional data analysis, which has attracted much attention in many application domains, such as text categorization and genome projects. Since traditional feature selection methods provide limited contributions to classification, many researchers resort to hybrid or elaborate approaches to choose interesting...
By scheduling multiple applications with complementary resource requirements on a smaller number of compute nodes, we aim to improve performance, resource utilization, energy consumption, and energy efficiency simultaneously. In addition to our naive consolidation approach, which already achieves the aforementioned goals, we propose a new energy efficiency-aware (EEA) scheduling policy and compare...
A latency-hiding algorithm for the parallelization of large scale agent-based model simulations (ABMS) on parallel/distributed computing platform is proposed. The key idea of this algorithm is using redundant computations to hide communication latencies. An analytical model for this algorithm is presented to tell how to select R value to reach the best speedup. Compared to B+2R algorithm [1], theoretical...
Integrating three-phase induction motor electromagnetic calculation program and multi-objective inverse optimization algorithm, a multi-objective & inverse three-phase induction motor optimization system with C++ is realized. This system can optimal design three-phase induction motor automatically. The design examples verify the effectiveness of the system.
This paper presents a novel method for protecting H.264/AVC streaming. The issues on the compression domain video encryption have been pointed out and fully addressed. To optimize the tradeoff between security level and computational complexity, only the most significant bits for reconstructed video quality in H.264/AVC streaming are extracted and encrypted, including the codewords of intra-prediction...
Clustering is one of the most popular methods for data analysis, which is prevalent in many disciplines such as image segmentation, bioinformatics, pattern recognition and statistics etc. The most popular and simplest clustering algorithm is K-means because of its easy implementation, simplicity, efficiency and empirical success. However, the real-world applications produce huge volumes of data, thus,...
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