The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Due to the sparsity and uncertainty representation ability of the Sparse Bayesian Learning (SBL) algorithm, it is widely applied in the prognostics and remaining useful life (RUL) prediction. In the other hand, because of the less sample size, poor multi-step prediction performance, it is hard to obtain satisfied prognostics results for the lithium-ion battery RUL estimation. In this paper, a novel...
this paper presents an instruction-cycle-based dynamic voltage scaling (iDVS) power management strategy for a lowpower processor design. The iDVS technique is fully compatible with conventional DVS scheduler algorithms. Furthermore, an additional iDVS design flow embedded in the standard cell lib flow is proposed to implement the iDVS-based DSP. In addition, the fast-response bidirectional asynchronous...
Shortest path routing is used throughout the Internet. If link costs accurately reflect real costs of installation and maintenance, and the total network cost is accurately modelled as the sum of link costs, shortest path routing can be expected to result in near optimal cost. In this paper, we consider layered networks which use shortest path routing in all layers. We study the sensitivity of shortest...
In inductive power transfer (IPT) system, system parameters dynamical identification is required in order to design system controller. This paper presents a simple and easily-realized method for identifying the location and resistance of load in current-fed IPT system. The method is based on the energy equilibrium equations in primary resonant tank. By further analyzing the characteristics of zero-voltage-switching...
The new notion of pre-closedness is introduced in L-topological spaces by means of pre-open L-sets and their inequality, where L is a complete De Morgan algebra. The new notion does not depend on the structure of basis lattice L which does not require any distributivity.
Driver assistance system enhances traffic safety and efficiency. Accurate 3D pose of front vehicle can help driver to make right decisions on road. We propose a novel real-time system to estimate 3D pose of the front vehicle. This system consists of two parallel threads: vehicle rear tracking and mapping. Vehicle rear is firstly identified in the video captured by an on-board camera, after license...
Different conditions, such as occlusions, changes of lighting, shadows and rotations, make vehicle type classification still a challenging task, especially for real-time applications. Most existing methods rely on presumptions on certain conditions, such as lighting conditions and special camera settings. However, these presumptions usually do not work for applications in real world. In this paper,...
An approach to estimate the remaining useful life (RUL) by Echo State Network (ESN) is presented, which is a new paradigm in recurrent neural network (RNN). ESN randomly establishes a large sparse reservoir to replace the hidden layer of RNN, which overcomes the shortcomings of complicated computing, difficulties in determining the network topology of traditional RNN. An ESN sub-models strategy composed...
In this paper, we introduce the concept of fuzzy strongly generalized semi-closed sets in fuzzy topological spaces, which properly lies between the class of fuzzy semi-closed sets and the class of fuzzy generalized semi-closed, and investigate their properties. As applications to fuzzy strongly generalized semi-closed sets, we introduce fuzzy spaces with new kinds of separation axioms and characterize...
A 50nA quiescent current asynchronous digital-LDO (DLDO) integrated with the PLL-modulated switching regulator (SWR) exhibits the hybrid power management operation. The proposed bidirectional asynchronous wave pipeline (BAWP) in the asynchronous DLDO realizes the Fast-DVS (F-DVS) operation within tens of nano-seconds. The SWR with the leading phase amplifier achieves on-the-fly DVS and 94% peak efficiency,...
Uncertainty representation and management are important in prognostics and health management (PHM). This paper first introduces concept of uncertainty as well as the importance of uncertainty in PHM. And the processing of uncertainty is mainly summarized, containing the uncertainty representation, estimation and management. The main approaches for uncertainty processing, such as probability theory,...
Canonical correlation analysis (CCA) and minimum variance distortionless response (MVDR) are typical nonparametric spectral estimation methods based on matched filterbank theory. To avoid the common signal mismatch problem, an algorithm combining CCA and MVDR is proposed for peak frequency modification. It consists of two stages: a coarse-peak search in CCA spectrum, and followed with a fine-peak...
The online course registration system is the central part of the educational administration system, which consists of registration guidance, registration controlling, undergraduate course registration, graduate course registration, retaking and retesting, dropping the course in the middle phase and information exchange, etc. The new course registration system at Tsinghua University was put into use...
Performance degradation and remaining useful life (RUL) estimation for lithium-ion battery has broad and practical applications in almost all industrial fields. The model-based prognostics is so complicated, moreover, they are not suitable for on-line application since that more parameters and modeling information should be obtained in advance. An on-line data-driven battery RUL prediction approach...
Foreground-background segmentation is an important problem in computer vision, and it has many applications. We propose a technique of Automatic foreground-background segmentation based on depth from coded aperture. This method first calculates a coarse depth map using technique of coded aperture depth extraction, then estimate the general area of foreground. At last, in order to get the foreground,...
Lithium-ion battery is a promising power source for electric vehicles owing to its high specific energy and power. Through monitoring battery health in effective way such as determining the operating conditions, planning replacement interval could increase the reliability and stability of the whole system. However, due to the reliance on integration, errors in terminal measurement caused by noise,...
We develop a wireless system that can (partially) substitute the wired infrastructure underlying Building Automation and Control Networks (BACnet) of the Building Management System (BMS). There are efforts (e.g. from ZigBee alliance) in developing the wireless components for BMS, they build from bottom up which may lead to change and re-standardization of a new BACnet protocol. There are also entirely...
Sequence analysis is very important in our daily life. Typically, each sequence is associated with an ordered list of elements. For example, in a movie rental application, a customer's movie rental record containing an ordered list of movies is a sequence example. Most studies about sequence analysis focus on subsequence matching which finds all sequences stored in the database such that a given query...
We are in an age where people are paying increasing attention to energy conservation around the world. The heating and air-conditioning systems of buildings introduce one of the largest chunk of energy expenses. In this paper, we make a key observation that after a meeting or a class ends in a room, the indoor temperature will not immediately increase to the outdoor temperature. We call this phenomenon...
This paper outlines a new multi-layer optimization approach that considers stochastic traffic composed of heavy tailed flows for optimizing traffic engineering and grooming, network design, dimensioning and planning, and evolution prediction.
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.