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.
This paper develops a novel iterative learning parameter identification algorithm for a class of single parameter systems with multi-threshold quantized observations. The identification algorithm is constructed along the iteration axis and it can incorporate the parameter identification ability and the learning ability to deal with unknown time-varying parameters. Based on the recursive form of the...
This paper addresses the problem of fixed-time consensus algorithm for the second-order multi-agent systems with bounded disturbances. The proposed fixed-time protocol can ensure a fixed-time consensus. First, the control law is designed to make the true speed track the virtual speed in a fixed time based on the fixed-time control method. Then, based on the backstepping design method, the virtual...
In this paper, a short-term load forecasting method which considers the different load characteristics in different periods is proposed. Firstly, we use parallel K-Means algorithm to cluster the daily load curves with 96 points of electricity customer to obtain some date groups with different load characteristics. Then for each date group, we use the daily load curves in the group to build load forecasting...
Analyzing characteristics of customers' electricity consumption behavior is helpful to improve the management level of demand side energy efficiency. In this paper, a method for analyzing the customers' electricity consumption behavior based on the massive data is proposed. Firstly, clustering algorithm is used to cluster daily load curves of the main power grid in the past one year, then under the...
We propose a new automated debugging method for regression testing based on a synergistic application of both dynamic and semantic analysis. Our method takes a failure- inducing test input, a buggy program, and an earlier correct version of the same program, and computes a minimal set of code changes responsible for the failure, as well as explaining how the code changes lead to the failure. Although...
Virtual Machine Consolidation (VMC) is known as a crucial method to improve system resource utilization and service level agreement in a datacenter. In this paper, we propose a novel algorithm named Segmentation Iteration Correlation Combination (SICC) expressly for VMC. The SICC integrates the methods of statistic regression modeling, Pearson correlation coefficient analysis and off-line Bin packing...
Data deduplication techniques improve cost efficiency by dramatically reducing space needs of storage systems. SSD-based data cache has been adopted to remedy the declining I/O performance induced by deduplication operations in the latency-sensitive primary storage. Unfortunately, frequent data updates caused by classical cache algorithms (e.g., FIFO, LRU, and LFU) inevitably slow down SSDs' I/O processing...
Automatic fall event detection has attracted research attention recently for its potential application in fall alarming system and wearable fall injury prevention system. Nevertheless, existing fall detection research is facing various limitations. The current study aimed to develop and validate a new fall detection algorithm using 2-D information (i.e., trunk angular velocity and trunk angle). Ten...
Verification and interval arithmetic are the fundamental methods that we deal with in error analysis. Verification strategy is used in most error analysis on solution sets of linear and nonlinear systems. On the other hand, interval arithmetic seems to be the best method for analyzing errors in floating point arithmetic by now. This paper devotes to analyze errors of floating-point arithmetic in C...
A low cost on-line admission controller is required by hard real-time system working in dynamic circumstances. In this paper, we propose a new utilization based constant-time admission control algorithm, called AC for aperiodic tasks under EDF scheduling. We prove that given the same processor state, AC is safe and has stronger admission capability than the best existing utilization-based admission...
To solve the problems of complex operation and poor real-time in the traditional SVPWM control algorithm, a novel SVPWM equivalent algorithm based on carrier modulation for five-phase inverter is proposed. Coming from the idea of SPWM symmetrical and regular sampling in which the modulated wave compares with the carrier, the inverter switch triggering time can be directly calculated by using the instantaneous...
Long Term Evolution (LTE) describes the standardization work by the Third Generation Partnership Project (3GPP) to define a new high-speed radio access method for mobile communications systems. Rate Matching (RM) is an essential component in the adaptive coding rate system and has a great impact on the error correcting performance in turbo code system for 3GPP LTE. In this paper, we propose an efficient...
A system composed of a machining center, related measurement tools and its software can achieve on-line reverse. However the measuring point data through the ways to obtain is a lower accurate. It is difficult to obtain satisfactory reverse results using least squares method to deal with these data. To solve the problem, an On-line Reverse Method for Cylindrical Surface is propose, which combines...
A routing architecture based on PCE has been designed for the large, multi-layer and multi-domain optical networks, and a PCE-based fast reroute algorithm has been proposed for multi-failures in multi-domain optical networks.
In a wide range of applications, such as detecting environmental hazards, monitoring remote terrain and even monitoring customer behavior, wireless sensor networks (WSNs) are playing an important role. Due to the limited energy in each node, a lot of attention has been paid on improving energy efficiency. In this paper, we first propose an energy-efficient waiting caching (EEWC) algorithm to improve...
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.