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Up to 80% of the automotive software can be generated from models. MATLAB Simulink is a common tool for creation of complex combinations of block diagrams and state machines, automated generation of executable code, and its deployment on a target ECU. The automotive safety standards require extensive testing of the developed models. Regression testing should be undertaken every time a model is updated...
High-speed coherent anti-Stokes Raman spectroscopy with two linearly chirped frequency combs is demonstrated. Multiplex Raman spectra covering most of the fingerprint region are acquired with high resolution on nanosecond measurement time scale.
This paper presents a complete on-chip ADC BIST solution based on a segmented stimulus error identification algorithm known as USER-SMILE. By adapting the algorithm for efficient hardware realization, the solution is implemented towards a 1Msps 12-bit SAR ADC on a 28nm CMOS automotive microcontroller. While sufficient test accuracy is demonstrated, the solution is further extended to correct linearity...
This paper aims to propose an innovative local energy market to accommodate localized energy trading and exchange for communities, buildings and campuses, which may own the surplus local energy produced by distributed energy resources (DER). These energy entities can participate in or form a localized trading platform, either buying or selling energy with searching local partners, without necessarily...
This paper introduces classification of electricity residential customers into different groups associated with individualized electricity price schemes, such as time-of-use (TOU) or critical peak pricing (CPP). We use an unsupervised learning method, K-means, assisted by a dimensionality reduction technique and an innovative supervised learning method, extreme learning machine (ELM), to cluster daily...
In this paper, we propose a framework for robust distributed energy resource (DER) management in microgrids considering a retail electricity market. Our objective is to maximize the total profits of the microgrids while maintaining the reliability and security of the system. We formulate a two-stage robust optimization model to address uncertainties in day-ahead retail electricity price and DERs....
Thick film hybrid integrated circuit is a product of thick film technology and semiconductor technology. Because of some outstanding advantages, such as high reliability and high integration, hybrid integrated circuit has been gradually applied to aerospace electronic equipment. The situation of unstable electrical performance caused by individual parameters exceed standard in the hybrid integrated...
This paper proposes a framework, named after eVoucher program, to encourage parking lots, with high electric vehicles penetration rate, to participate in the retail electricity market at distribution level. It also entails the demand response, either in the negative (demand decrease) or positive (demand increase) direction, which improves the economic benefits for electric distribution companies and...
Cluster ensemble is always a relatively active and challenging research direction in the field of machine learning and pattern recognition. The clustering algorithm has good theoretical basis which is widely used in machine learning, date mining, pattern recognition, imagine analysis and other areas. It becomes an important research in the field of cluster analysis, taking more and more researchers'...
In this paper, a robust trajectory tracking control for the underactuated quadrotor unmanned aerial vehicle (UAV) based on extended state observer(ESO) is proposed. In the presence of external disturbances and inner model parameter uncertainty, it guaranteed that the position and yaw angle could track the reference signal speedily and smoothly. According to the strict feedback architecture of the...
In recent years, name disambiguation has become one of the hot topics to be resolved in natural language processing and information extracting. This paper introduces the meaning of research and theories of name disambiguation and briefly reviews the feature extraction, similarity calculation, clustering algorithm and evaluation method which enables readers to form a preliminary understanding on name...
This paper presented a method for multiwalled carbon nanotube(MWCNT) and graphene fusion by applying current to the electric circuit system inside scanning electron microscopy (SEM). The MWCNT was picked up from CNT bulk and the graphene flake was exfoliated from graphite by nanorobotics manipulation system. The current was applied to the two ends of carbon nanotube and graphene. The C-C bonds at...
The main aim of this article is to study Wd -fuzzy implication algebras which are subalgebra of fuzzy implication algebras. We showed that Wd -fuzzy implication algebras are regular fuzzy implication algebras, but the inverse is not true. The relations between Wd -fuzzy implication algebras and other fuzzy algebras are discussed. Properties and axiomatic systems for Wd -fuzzy implication algebras...
This paper presented a rotational electromagnetic energy harvester to scavenge the human kinetic energy and convert into electrical energy. The harvester simply introduced a cylindrical stator and disk-shaped rotor, which are made of NdFeB. Without complicated movement mechanism, the stator and rotor, of a higher pair have theoretical line contact by magnetic attractive force. Therefore, the rotor...
In many practical problems, measurement noise data are often skewed, heterogeneous, or containing outliers. The Gaussian or even Student-t measurement noise settings are often not fit to the request of system. A novel EKF filtering algorithm for nonlinear discrete state-space models with skewed Student-t measurement noise is presented. The algorithm makes use of the method of Variational Bayes to...
Both the plant parameter4 and delay time of the system may vary in the time-varying system, which makes system identification relatively complex. In this paper, a new system identification algorithm based on subspace method and cross-correlation function is proposed to identify system parameter and time-delay simultaneously. The time delay is identified with the calculation of the cross-correlation...
In industrial process, some important variables such as quality index, efficiency index and concentration of product components are difficult or even impossible to be measured directly due to the limitation of technology. This phenomenon leads to few labeled data and plenty of unlabeled data. Traditional identification method for controlled auto regressive (CAR) model usually cannot deal with unlabeled...
In this paper, a novel quaternion adaptive filtering algorithm is proposed for a unified processing of 3D and 4D data, called quaternion least mean kurtosis (QLMK) algorithm. Multi-dimensional signals exhibit a complex nonlinear relationship and couple among different components. Considering that quaternion has huge advantage in terms of the representation of 3D and 4D signal, quaternion algebra is...
Pulsed thermography (PT) is a widely used non-destructive testing (NDT) technique for defect detection in carbon fiber reinforced polymers (CFRP) structures. Thermographic signal reconstruction (TSR) is often employed to process thermographic data due to its excellent performance in enhancing the contrast between defects and background. However, TSR does not reduce the noise of thermographic data...
Autonomous underwater docking recovery of UUV to a moving platform dock is presented in this paper. Suited docking strategy and control method is designed to realize accurate, safe and fast docking of UUV based on an optical terminal guidance system with two cameras and two guiding lights. The kinematics and dynamics of UUV during docking process is modeled to describe the hydrodynamic interaction...
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