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Inspired by potential application in power systems and a fully distributed primal-dual method, we investigate how a novel distributed optimization algorithm can be used to solve the dispath response problem in power systems with a distributed manner, whose main target is to minimize the generation cost of the whole network. The problem we study here can be formulated as a kind of optimization problem,...
Accurate hand-eye calibration is a very significant task in robotics. Many algorithms focus on L optimization, and Least Square Estimation (LSE) is usually employed to deal with this problem. For the reason that LSE can only be applied to occasions that errors obey normal distribution, LSE can lead to a lower precision of calibration result when gross errors occur. Different from the existing approaches,...
The relation between Chinese GDP and defense expenditure is investigated based on the data from 1978 to 2015, which is divided into four stages according to national defense development strategy evolution and defense spending growth rate. The results revealed that the absolute degree of grey incidence between defense expenditure and GDP is relatively small, illustrating defense expenditure exerts...
To protect the confidentiality of information system, encryption techniques are essential and widely used. However, the encryption with a traditional block cipher may cause a damage to the application or database due to the format changing. Format-preserving encryption (FPE) plays an important role in practice, especially for the integer. We studied the problems on applying FPE for integer, specifically...
In the management of public transportation systems, timetable scheduling seeks to adjust vehicle departure times to the dynamic passenger flow, to provide high quality service, and to optimize the use of limited resources. A new method of timetable scheduling in a fuzzy environment with improved reverse-flow, which optimizes over all bus services, is proposed in this paper. Decision making is based...
This paper first introduce the general method of Deformable Part Model(DPM). In order to improve the speed of front vehicle detection, first, this paper propose a method to accelerate the calculation speed of HOG feature. Second,based on a series of important accelerating mechanisms, this paper mainly use Vector Quantization and K-means clustering algorithm to speed up the HOG feature computing speed,...
Uniaxial stretching has been well reported to be a robust technique to significantly enhance the dielectric performance of poly(vinylidene fluoride) (PVDF) based ferroelectric polymers. That is mostly ascribed to the contribution of the aligned ferroelectric domains located in the crystalline phase in previous investigation. In an effort to give a clear understanding of the relationship between the...
Currently, traffic congestions are the most serious issues that most cites are facing. In order to improving the urban traffic orders, as well as to alleviating traffic pressures, this paper presents an urban traffic control system, which is designed based on the real time traffic flow information. The proposed design has combined with traffic control theory, application of single chip computer and...
Recently, due to the development of automobile industry, the number of vehicles is increasing. The traditional parking lots are unable to meet the growing demands from so many vehicles. Therefore, the current parking lots present many problems. Such as, can't find parking spaces quickly, difficult to manage too many vehicles and manual toll collection costs much time. To solve those problems above,...
Nowadays, with the increasing awareness of environmental and economic issues, energy efficiency has received an enormous amount of attention. In this paper, we investigate an energy-saving algorithm called Greedy Base Station Sleeping (G- BSS), based on clustering for Device-to-Device (D2D) communication in cellular network and derive the energy utility function to evaluate energy consumption of the...
This paper presents the design, analyses, and fabrication of a tank-like wall-climbing robot using gecko-inspired dry adhesives. The robot uses customized timing adhesive belts, which is flexible as well as patterned using MEMS techniques. The Kendall strip tape model is modified, considering features of the timing belt, to analyze the peeling process of the viscoelastic tread. The relationship between...
Optimal trajectory planning for robot manipulators is always a hot spot in research fields of robotics. This paper presents a Constraint Immune Multi-objective Optimization Algorithm (CIMOA) for computing optimal trajectory of an industrial robot manipulator. The problem has a multi-criterion character in which two objectives, the minimum traveling time objective and minimum mechanical energy consumption...
Over the past decade, development of computer-aided graphics in the field of appliedgraphics is rapid, and the graphics system which is established based on the traditional ruler gauge conditions has also changed dramatically. Therefore, the author reviewed the current situation, following the pulse of the information times, on the premise of practice and application, making bold adjustment to the...
Dictionary learning method based on sparse coding has been widely used in visual tracking, since it has good performance in terms of encoding target appearance. Currently, most of the visual tracking algorithms based on dictionary learning update the dictionary with tracking results in tracking process. Consequently, the total error accumulated over time, and even cause the failure of tracking. In...
Linear Discriminant Analysis (LDA) is a powerful technology for supervised dimensionality reduction, however, it only captures the extrinsic (or global) structure in the data and fails to discover the intrinsic structure of the data manifold. In this paper, we develop a new linear supervised dimensionality reduction method, called Graph Regularized Discriminant Analysis(GRDA), which respects both...
In this paper, we propose a novel indoor localization scheme, Lightitude, by exploiting ubiquitous visible lights, which are necessarily and densely deployed in almost all indoor environments. Different from existing positioning systems that exploit special LEDs, ubiquitous visible lights lack fingerprints that can uniquely identify the light source, which results in an ambiguity problem that an RLS...
In this paper, an airdropping and unfolding scheme for tethered balloon platform is proposed firstly. And the details of the system structure is design, the key cushioning pad honeycomb paperboard is studied. Based on the designed structure, the cushioning simulation is conducted and the results show that the cushioning performance is feasible for airdrop application.
Vibration isolating and cushioning constituted of combined frame and honeycomb paperboard was designed to achieve soft landing of airdropped tethered balloon platform. Considering the nonlinear characteristic of honeycomb paperboard, the airdropped tethered balloon platform was equivalent to a two-degree-of-freedom nonlinear vibration system. After that, numerical simulation on airdropping impact...
Nowadays pipeline inspection needs sensors increasingly which can measure long distance and in small diameter. Fiber Bragg grating (FBG) sensors just have the conditions needed for pipeline inspection. Meanwhile, FBG sensors have powerful networking features, and it can be taken to build real-time monitoring system of piping shape. The FBG sensors can calculate the coordinate values in any position...
Gratings tiling refers to assembling serial small-sized sub-gratings, to make them into a single integral large aperture grating by means of mechanical process, which is mainly used for pulse compression in the high-energy laser system. In order to ensure that the parallelism and coplanarity between the sub-gratings meet high requirements of submicron level, the grating tiling device itself needs...
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