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141.
中国南海北部二氧化碳气成因 总被引:3,自引:0,他引:3
中国南海北部海域在油气勘探中发现了CO_2气,对油气有无影响?在借鉴世界、中国东部陆地CO_2气成因研究成果的基础上,从分析研究区CO_2,气的分布入手,采用多种方法,在综合分析基础上,对本区CO_2气藏进行分类.认为研究区CO_2;气藏为无机成因,其特征受各盆地或地区具体地质条件的控制.哈萨克斯坦引起了国际石油界的很大关注,但它并不是前苏联唯一的具吸引力之地.美国地质调查调查所(丹佛)和AAPG今年著名讲演者Gregory F Ulmishek说.前苏联有20多个沉积盆地生产油气或具有尚未开采的发现.Ulmishek 1980年到美国前,获得过莫斯科石油学院地质学硕士学位,作为一个地质学家在前苏联工作过23年.他的1993—1994年题为“前苏联主要油气地质学及勘探潜力”的著名演讲在1993年12月6日至17日和1994年3月28日至4月8日的巡回活动中推出. 相似文献
142.
A systematic efficient fault diagnosis method for reconfigurable VLSI/WSI array architectures is presented. The basic idea is to utilize the output data path independence among a subset of processing elements (PEs) based on the topology of the array under test. The divide and conquer technique is applied to reduce the complexity of test application and enhance the controllability and observability of a processor array. The array under test is divided into nonoverlapping diagnosis blocks. Those PEs in the same diagnosis block can be diagnosed concurrently. The problem of finding diagnosis blocks is shown equivalent to a generalizedEight Queens problem. Three types of PEs and one type of switches, which are designed to be easily testable and reconfigurable, are used to show how to apply this approach. The main contribution of this paper is an efficient switch and link testing procedure, and a novel PE fault diagnosis approach which can speed up the testing by at leastO(V1/2) for the processor arrays considered in this paper, where V is the number of PEs. The significance of our approach is the ability to detect as well as to locate multiple PE, switch, and link faults with little or no hardware overhead. 相似文献
143.
Kuo R. J. Chang C. K. Nguyen Thi Phuong Quyen Liao T. W. 《Knowledge and Information Systems》2021,63(7):1935-1959
Knowledge and Information Systems - With the advance of information technology, many fields have begun using data clustering to reveal data structures and obtain useful information. Most of the... 相似文献
144.
近些年,深度强化学习(Deep Reinforcement Learning,DRL)已成为人工智能领域一个新的机器学习范式与方法论,它在许多高维度大状态的复杂空间任务中能够取得显著的成功.然而,传统的深度强化学习仍然存在着学习效率低、训练时间长的问题,在多智能体的行为决策研究中难以达到理想的效果.针对这些问题,本文提出了一种基于分区缓存区重放与多线程交互的多智能体深度强化学习算法(Partitioned Buffer Replay and Multiple Process Interaction,PBR-MPI).首先,该算法使用分区缓存区的经验重放形式,通过划分奖励空间来区分正面经验、负面经验与中性经验,并在训练时使用分层随机的采样方式抽取这些经验数据.其次,算法运用多线程的交互方式促进了智能体与环境的试错过程,通过智能体的多个克隆体并行的学习并整合它们的学习经验来训练网络模型的参数.然后,为了构建PBR-MPI算法的适用场景,本文根据目前多智能体系统(Multi-Agent System,MAS)的最新研究进展,将多智能体的信息交互方式归纳总结为集中式信息交互、全信息交互和欠信息交互三大类.最后,将新算法与其它的多智能体DRL算法分别在三种不同的信息交互场景中进行对比实验,用于验证和评价PBR-MPI的有效性及整体性能.实验结果表明,在智能体个数为5的多智能体目标追踪任务中,缓存区数为3、线程数为5的PBR-MPI算法的学习收敛速度平均提高了21%,训练效率平均提升了34%,并且在综合性能的评估中新算法的整体性能改善了50%. 相似文献
145.
Zhan Choujun Zheng Yufan Lai Zhikang Hao Tianyong Li Bing 《Neural computing & applications》2021,33(10):4915-4928
Neural Computing and Applications - At the end of 2019, a new coronavirus (COVID-19) epidemic has triggered global public health concern. Here, a model integrating the daily intercity migration... 相似文献
146.
Shilton A Lai DT Santhiranayagam BK Palaniswami M 《IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics》2012,42(3):950-955
This note presents an analysis of the octonionic form of the division algebraic support vector regressor (SVR) first introduced by Shilton A detailed derivation of the dual form is given, and three conditions under which it is analogous to the quaternionic case are exhibited. It is shown that, in the general case of an octonionic-valued feature map, the usual "kernel trick" breaks down. The cause of this (and its interpretation) is discussed in some detail, along with potential ways of extending kernel methods to take advantage of the distinct features present in the general case. Finally, the octonionic SVR is applied to an example gait analysis problem, and its performance is compared to that of the least squares SVR, the Clifford SVR, and the multidimensional SVR. 相似文献
147.
Cloud computing has become a promising paradigm as next generation computing model, by providing computation, software, data access, and storage services that do not need to know the location of physical resources interconnected across the globe providing such services. In such an environment, important issues as information sharing and resource/service discovery arise. In order to overcome critical limitations in centralized approaches for information sharing and resource/service discovery, this paper proposes a framework of a scalable multi-attribute hybrid overlay featured with decentralized information sharing, flexible resource/service discovery, fault tolerance and load balancing. Additionally, the proposed hybrid overlay integrates a structured P2P system with an unstructured one to support complex queries. Mechanisms such as load balancing and fault tolerance implemented in our proposed system to improve the overall system performance are also discussed. Experimental results show that the performance of the proposed approach is feasible and stable, as the proposed hybrid overlay improves system performance by reducing the number of routing hops and balancing the load by migrating requests. 相似文献
148.
Fuzzy local maximal marginal embedding for feature extraction 总被引:1,自引:0,他引:1
Cairong Zhao Zhihui Lai Chuancai Liu Xingjian Gu Jianjun Qian 《Soft Computing - A Fusion of Foundations, Methodologies and Applications》2012,16(1):77-87
In graph-based linear dimensionality reduction algorithms, it is crucial to construct a neighbor graph that can correctly
reflect the relationship between samples. This paper presents an improved algorithm called fuzzy local maximal marginal embedding
(FLMME) for linear dimensionality reduction. Significantly differing from the existing graph-based algorithms is that two
novel fuzzy gradual graphs are constructed in FLMME, which help to pull the near neighbor samples in same class nearer and
nearer and repel the far neighbor samples of margin between different classes farther and farther when they are projected
to feature subspace. Through the fuzzy gradual graphs, FLMME algorithm has lower sensitivities to the sample variations caused
by varying illumination, expression, viewing conditions and shapes. The proposed FLMME algorithm is evaluated through experiments
by using the WINE database, the Yale and ORL face image databases and the USPS handwriting digital databases. The results
show that the FLMME outperforms PCA, LDA, LPP and local maximal marginal embedding. 相似文献
149.
Shih-Ying Lin Shi-Jinn Horng Tzong-Wann Kao Chin-Shyurng Fahn Deng-Kui Huang Ray-Shine Run Yuh-Rau Wang I.-Hong Kuo 《Applied Soft Computing》2012,12(9):2840-2845
A particle swarm optimization (PSO) algorithm combined with the random-key (RK) encoding scheme (named as PSORK) for solving a bi-objective personnel assignment problem (BOPAP) is presented. The main contribution of this work is to improve the f1_f2 heuristic algorithm which was proposed by Huang et al. [3]. The objective of the f1_f2 heuristic algorithm is to get a satisfaction level (SL) value which is satisfied to the bi-objective values f1, and f2 for the personnel assignment problem. In this paper, PSORK algorithm searches the solution of BOPAP space thoroughly. The experimental results show that the solution quality of BOPAP based on the proposed method is far better than that of the f1_f2 heuristic algorithm. 相似文献
150.
The paper presents a novel blind watermarking scheme for image copyright protection, which is developed in the discrete wavelet transform (DWT) and is based on the singular value decomposition (SVD) and the support vector regression (SVR). Its embedding algorithm hides a watermark bit in the low–low (LL) subband of a target non-overlap block of the host image by modifying a coefficient of U component on SVD version of the block. A blind watermark-extraction is designed using a trained SVR to estimate original coefficients. Subsequently, the watermark bit can be computed using the watermarked coefficient and its corresponding estimate coefficient. Additionally, the particle swarm optimization (PSO) is further utilized to optimize the proposed scheme. Experimental results show the proposed scheme possesses significant improvements in both transparency and robustness, and is superior to existing methods under consideration here. 相似文献