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Atomic Force Microscopy (AFM) captures Nano-scale resolution biopolymers with relative ease, and has been used to image many string-like biopolymer samples such as DNA. This research proposes a standard method to calculate the persistence length(s) of DNA samples, imaged by AFM. Both simulated DNA through Worm-Like Chain (WLC) modeling and DNA images scanned from actual AFM systems are used to demonstrate...
Early fault diagnosis of the rolling bearing and maintenance has great significance for the safety production of large automation machinery and equipment and avoid big accidents. With high precision sensor acquisition of bearing vibration signal, this paper adopts the wavelet packet de-noising technology to eliminate the noise in test signal, on the basis of keeping small fault characteristic information...
Optimal power flow (OPF) is known as one of the most important planning and scheduling tools in electrical power systems. The OPF problem is a non-convex, NP-hard optimization problem, therefore, the applications of metaheuristic algorithms in the OPF problem have been gained more attentions in recent years. This article investigates successful application of recently developed optimizer, so called,...
In recent years, Unmanned Air Vehicles (UAV) are gaining popularity among hobbyist, university-level researchers and military agencies. This paper presents the enhancement of a commercial-off-the-shelf (COTS) product that is capable of achieving semi-autonomous flight. The details of the selection of various components and software design are discussed. Take-off, hovering and landing controls for...
This paper considers H∞ reduced-order filtering problem for discrete-time Takagi-Sugeno (T-S) fuzzy systems with time-varying delay in its state. Firstly, Based on the reciprocally convex methods and a novel fuzzy Lyapunov functional, the proposed basis-dependent condition is utilized to ensure that the resulted error system is asymptotically stable with a prescribed H∞ performance and reduce the...
In this brief, a novel impulsive control has been proposed for consensus problems of discrete-time multi-agent systems. Utilizing the Lyapunov technique, a parametric discrete-time Riccati equation has been obtained in order to design impulsive controller. The derived criteria show that such impulsive control relies on the proper value of designed parameters and the upper bound of impulsive intervals...
The main purpose of this paper is to explore the spontaneous synchronization of two Chua's circuits based on coupled memristors with cubic nonlinearity. An analog circuit is designed to simulate the magnetic flux controlled memristor with coupling effects and then applied to implement the coupled Chua's circuit. Simulation is carried out to numerically exhibit the strange attractors and spontaneous...
Applying Internet of Things (IoT) technology to art can open up new possibilities for the interaction between systems and humans. In this study, interaction between appreciators and fine art was realized using Ion technology. Raspberry Pi, a low-cost credit card-sized single-board computer, was used to enable appreciators to change animations displayed onscreen in fine art using physical movement...
In this paper, based on the virtual scene images generated by the Unity3D engine, a target tracking realization method in UAV(Unmanned Aerial Vehicle) simulation training system is proposed. To realize the target tracking steadily, the LOS(line of sight) tracking model utilizing the target pixel offset in the consecutive frame image and the velocity tracking model are established. Meanwhile, a digital...
Levitation control in micromachined electrostatically suspended gyroscope (MESG) is a typical non-linear control, so it is difficult to obtain precise mathematic model when the rotor moves far away from the null position, and it is also hard to meet the requirement of rapidity, stability and robustness using only traditional Proportional Integral (PI) control separately. Aiming at the nonlinear characteristic...
Considering the traffic safety in the scenario of arterial road with on-ramp, this study proposes a time-to-collision (TTC) based vehicular collision warning algorithm under connected environment. In particular, the information of vehicles of interest, i.e., position, traveling direction and velocity, is assumed to be collected by the roadside device via the vehicle-to-infrastructure (V2I) communications...
In this paper, a new data-driven ILC method is proposed for I/O constrained nonlinear systems. An iterative dynamic linearization is introduced for the controlled nonlinear systems. All of the constraints on the system inputs and outputs are reformulated with a linear matrix inequality. The learning control law is then developed by minimizing a predesigned cost function subjected to the linear matrix...
In this work, we present an appearance based human activity recognition system. It uses background modeling to segment the foreground object and extracts useful discriminative features for representing activities performed by humans and robots. Subspace based method like principal component analysis is used to extract low dimensional features from large voluminous activity images. These low dimensional...
This paper proposes a new method for melasma pigmentary area segmentation utilizing re action-diffusion based level set model (RDLSM) together with local entropy thresholding. In the adopted level set model, a diffusion term is used to regularize the level set function while a reaction term with anticipated sign property is used to force the zero level set towards desired locations. Then local entropy...
Signal differentiation is widely used in system monitoring and control. The key problem in differentiator design is how to obtain a satisfactory tradeoff between differentiation exactness and robustness to uncertainties and noises. Based upon proposing a novel finite-time stabilizer for 2-order integrator chain, a new finite-time-convergent 2-order differentiator with bounded estimation error of both...
Many manufacturing companies are experiencing more and more wider variation in market growth and customer demand. Studies have been conducted over the years to improve the accuracy of the manufacturing forecast. However, the theoretical forecast models so far haven't achieved much success and the gaps between forecast and actual demand are still wide that a buffer has to be built up especially for...
Based on the least squares support vector regression and the Nystrom approximation, it becomes possible to apply a nonlinear model for the prediction problem of water quality with large sample. This is done by using a reduce rank approximation of the nonlinear mapping induced by the primal kernel matrix, with an active selection of support vectors based on an unsupervised kernel clustering algorithm...
To improve the coverage of multi-UAVs cooperative search, various communication constraints have to be considered: communication distance, communication delay and communication network structure. A kind of network building method based on tree concept of data structure is presented, and a communication strategy based on information fusion is proposed. These method and strategy could effectively improve...
The urban road traffic congestion is becoming a serious problem. The number of vehicles waiting to be processed at the intersection is rising sharply with the increase of the traffic flow, and it cannot be effectively scheduled by the traditional traffic lights. A real-time vehicle scheduling algorithm based on the traffic flow to improve the vehicle scheduling ability of the intersection and reduce...
Recently, the problem of fully autonomous navigation of vehicle has gained major interest from research institutes and private companies. In general, these researches rely on GPS in fusion with other sensors to track vehicle in outdoor environment. However, as indoor environment such as car park is also an important scenario for vehicle navigation, the lack of GPS poses a serious problem. This study...
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