In this study, a hierarchical architecture for the intermittent control under the minimum transition hypothesis(MTH) was implemented. A two-stage hierarchy was adopted to perform the high-level and the low-level con...
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ISBN:
(纸本)9781538619797;9781538619780
In this study, a hierarchical architecture for the intermittent control under the minimum transition hypothesis(MTH) was implemented. A two-stage hierarchy was adopted to perform the high-level and the low-level control respectively. The high-level controller performed the intermittent control by setting a sequence of goals for the low-level controller. Goal planning as the intermittent control policy was learned with hierarchical deep deterministic policy gradient(h-DDPG) proposed in this study, which is a hierarchical version of the conventional DDPG. The model successfully learned to temporally decompose a complex movement into a sequence of basic motor skills with sparse transitions, as shown in results of the two validation experiments: the trajectory following and the obstacle avoidance tasks.
There is a growing interest in sharing personal opinions on the Web,such as product reviews,economic analysis,political polls,*** research focuses on document-based approaches and documents are represented by ***,due ...
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ISBN:
(纸本)9781538619797;9781538619780
There is a growing interest in sharing personal opinions on the Web,such as product reviews,economic analysis,political polls,*** research focuses on document-based approaches and documents are represented by ***,due to loss of contextual information,this representation fails to capture the associative information between an opinion and its corresponding ***,several researches focus on sentence-based approaches,which can effectively deal with an attribute-sentiment word pair within one ***,those approaches are unable to process more than one attribute within one *** this paper,we first present an improved sentiment word quantitative method to generate sentiment score for every word in sentiment ***,we propose a novel identification approach of attribute-modifier-sentiment word triple using shallow semantic *** results show the feasibility and effectiveness of our approach.
The three-dimensional geological modeling and orebody visualization based on a small number of drilling cores are key issues for three-dimensional geological exploration. In this paper, we present an automatic pipelin...
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ISBN:
(纸本)9781538619797;9781538619780
The three-dimensional geological modeling and orebody visualization based on a small number of drilling cores are key issues for three-dimensional geological exploration. In this paper, we present an automatic pipeline of delineation and 3 D profile mapping for potential exploration targets. As an integrated threedimensional modeling process, the framework includes three key modules such as the terrain generation, delineation and three-dimensional profile mapping. The delineation is achieved by calculating the cutoff grade isosurface with a novel curved spline model. For the threedimensional profile mapping, it is made by using the Kriging interpolation to generate the profile at an arbitrary angle within the delineation area. Finally, the proposed framework is validated by using the real mineral data of some drilling cores of Wulonggou area in Qinghai province of China, and the visualization results verify its effectiveness.
This paper proposes an optimization algorithm named Join Order Algorithm Using Predefined Optimal Join Order or is called JAPO algorithm to optimize join cost. Optimal join order solutions for all possible join patter...
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ISBN:
(纸本)9781538619797;9781538619780
This paper proposes an optimization algorithm named Join Order Algorithm Using Predefined Optimal Join Order or is called JAPO algorithm to optimize join cost. Optimal join order solutions for all possible join patterns are predefined and stored in a file using Dynamic Programming with Memorization technique or is called DPM algorithm. JAPO algorithm searches join order solutions from the predefined optimal join orders using hash function instead of traversing all search space. Experiments are conducted and join costs obtained by JAPO algorithm are compared with DPM algorithm and greedy algorithm named GOO. The experimental results show that JAPO algorithm with polynomial time complexity obtains almost 100 percent of optimal join order solutions. DPM algorithm obtains 100 percent of optimal join order solutions with factorial time complexity. GOO algorithm with polynomial time complexity obtains sub-optimal solutions and number of optimal solutions obtained by GOO algorithm decreases when number of relations to be joined is increased.
Recently,great progesses have been made in using discriminative classifiers in object *** specifically,correlation filters(CFs) for visual tracking have been attractive due to t heir competitive performances on both a...
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ISBN:
(纸本)9781538619797;9781538619780
Recently,great progesses have been made in using discriminative classifiers in object *** specifically,correlation filters(CFs) for visual tracking have been attractive due to t heir competitive performances on both accuracy and *** this paper,the latest and representative approaches of CF b ased trackers are presented in d *** addition,trackers used deep convolutional features are introduced and several famous tracking methods which fine-tune the pretrained deep network are *** evaluate the performances of different trackers,a detailed introduction of the evaluation methodology and the datasets is described,and all introduced trackers are compared based on the mentioned ***,several promising directions as the conclusions are drawn in this paper.
With the explosive growth of data capacity, large enterprises increasingly rely on business information systems. A highly informational and data-centralized grid company that engages in high-frequency businesses will ...
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ISBN:
(纸本)9781509034840
With the explosive growth of data capacity, large enterprises increasingly rely on business information systems. A highly informational and data-centralized grid company that engages in high-frequency businesses will face major business failures, incalculable impacts and irreparable damages once data errors occur. The development of an effective high-availability information system has become a hot topic for grid companies. Based on the analysis of pioneer enterprises or businesses (mainly IT enterprises), this paper summarizes the development mode of gradual deployment, and further proposes an extended architecture suitable for large enterprises such as grid companies in order to provide references and suggestions for the gradual deployment of high-availability information systems.
The hybrid cloud model has received considerable attention in recent years. However, it is challenging to schedule computing applications in hybrid clouds because of the various product types and pricing models provid...
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ISBN:
(纸本)9781538619797;9781538619780
The hybrid cloud model has received considerable attention in recent years. However, it is challenging to schedule computing applications in hybrid clouds because of the various product types and pricing models provided by different cloud providers in conjunction with the complexity of private cloud resource management. In this paper, we focus on a typical scenario to schedule computing requests in hybrid clouds, trying to minimize the costs incurred while keeping the deadline missing of the requests at an acceptable level. We formulate this problem as an online optimization model originally, and by taking advantage of the Lyapunov optimization techniques, we transform it into a one-shot binary linear optimization problem which is much easier to solve. Based on that we develop a hybrid cloud scheduler, and simulation results suggest that our scheduler strikes a good balance between the cost of public clouds and the deadline missing of computing requests. Besides, the proposed scheduler shows a nearly optimal resource utilization rate and a good average scheduling delay.
In recent years, the trend of population aging brings great demand to the service industry for the aged. Meanwhile, the old-age service resources are relatively scarce, which has become an important issue in the devel...
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ISBN:
(纸本)9781538619797;9781538619780
In recent years, the trend of population aging brings great demand to the service industry for the aged. Meanwhile, the old-age service resources are relatively scarce, which has become an important issue in the development of society all over the world. In order to improve the service quality of the aged, smart care service based on context awareness was proposed in this paper. Firstly, environmental data, physical sign, voice and facial expression data of the aged are collected. And then affective computing and data mining methods were used to these data, so as to find out the demand of the aged and provide them with smart care service. Results show that this method can effectively help the aged.
This paper discusses the development of a smart card *** consists of two parts:Card Management System(CMS) and Application Management System(AMS). The system includes also implementation of a Public Key Infrastructure...
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ISBN:
(纸本)9781424467860
This paper discusses the development of a smart card *** consists of two parts:Card Management System(CMS) and Application Management System(AMS). The system includes also implementation of a Public Key Infrastructure(PKI) for data *** CMS manages a complete life cycle of smart cards,like requesting a card, printing,and defining holder's *** the application management system,several applications have been implemented including identification,e-wallet,and access *** card management system and card application systems share one centralize *** developed systems have been successfully tested.
Geometric problems are usually solved by algebraic methods, which narrows the capacity of geometry. We represent a preliminary framework for geometric basis computing pattern. The pattern is based on He's theory a...
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