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.
Modern life heavily relies on the continuous and stable power supply. All kinds of devices and systems are driven by batteries. The behavior of battery has direct impact on the operation and performance of those devices and systems. Thus, the knowledge of state of health and remaining useful life will facilitate the proper use and management of batteries. In this study, battery capacity is estimated...
The Automatic Identification System (AIS) is a maritime safety and vessel traffic system imposed by the International Maritime Organization (IMO). The system broadcasts position reports and short messages with information about the ship and the voyage. For the separation, demodulation and decoding of the mixed signals acquired by the space-based AIS, the problems of signal detection an d parameter...
The scheme design of motor system energy-saving (MSES) has a significant influence on the effort to reduce energy consumption. The framework and functions of a decision support system (DSS) are proposed for selection and evaluation of the MSES scheme. It is from the perspective of systems engineering during the design process. In addition, ontology is introduced to represent knowledge and establish...
Uncertain data has been emerged as an important problem in database systems due to the imprecise nature of many applications. To handle the uncertainty, probabilistic databases can be used to store uncertain data, and querying facilities are provided to yield answers with confidence. However, the uncertainty may propagate, hence the returned results from a query or mining process may not be useful...
In this letter, a new method is proposed to design SIW-based multi-way power dividers utilizing SIW directional couplers. Two examples respectively with equal and unequal power division ratio are given. The simulated and measured results show that the designed power dividers have wide bandwidth and low insertion loss over the whole operating bandwidth. The phase differences between output ports are...
This paper proposes a method to identify the hybrid modulation signals. Firstly, the method utilizes instantaneous frequency (IF) of signals combined with histogram to classify conventional signals and hybrid modulation signals. Then an improved signal segmentation method is used to resolve the hybrid modulation signals to conventional signals. Experimental results show that the proposed method can...
Pedestrian detection is a rapidly evolving research area in computer vision with great impact on the quality of people's daily life. In pedestrian detection, a robust feature descriptor that discriminates pedestrians from the background is a paramount step. Generally, pedestrians are detected with features extracted from visible images. However, those features can easily be contaminated by the changes...
The paper points out the importance of demand response in the smart grid, summarized the present research results of home energy gateway at home and abroad, and designed the home energy gateway based on that and the current difficult situation of demand response implementation. Home energy gateway enables conversion of existing communication technologies and protocols, real-time communication with...
Simulation technology is widely used in the engineering process of manufacturing plants, which promises the benefits such as debugging the programs of Programmable Logic Controller (PLC) in the early design phase, validating the co-working of the associated machines and accelerating the commissioning time. Although many researches have been made on this topic in recent years, the high cost of simulation...
LCL filter can improve the output current of the shunt active power filter. The paper proposes a resonant LCL filter structure with a LC high-frequency filter branches adding to LCL filter with damping resistor. By LC resonance effect, the switching frequency harmonics are filtered more efficiently and the loss of the system is reduced. The paper also builds the system modeling and analyzes the stability...
Outlier detection is an important issue in data mining and knowledge discovery. The aim is to find the patterns that deviate too much from others. In this paper, a universal outlier detection method based on normalized residual is proposed. Different from previous methods, the residual of a pattern is calculated corresponding to its nearest normal patterns, so that the interaction between outliers...
Automated testing is a hot topic in computing testing society. The automated test management is an important component in this domain. Workflow Management System(WfMS) is a powerful tool to support software testing process management and automation. Java Business Process Management (jBPM) is a flexible and extensible framework combing the convenience of workflow capabilities and the outstanding scalability...
Software systems are important components for the deployment and operation of large-scale critical systems, such as nuclear plants and aerospace shuttles. The very high reliability is critically required. Due to the very large scale and computational complexity, however, there are some inherent challenges for conducting extensive testing. In this paper, we define such challenges in the testing scope...
With a growing amount of data, a viable solution is to use a cluster consisting of a large of computers for parallel processing, and Hadoop parallel computing platform is a typical representative. Clustering analysis for time series data is one of the main methods mining time series data, however, general clustering algorithms can't perform clustering for time series data directly since series data...
Pedestrian detection plays a paramount role in advanced driver assistant system (ADAS) and autonomous vehicles, especially with the growth of aging population. The purpose of pedestrian detection is to identify and locate people in a dynamic scene or environment. It needs to tackle the challenges such as illumination, color, texture, clothing, and background complexities. Different from visible imaging...
This paper proposes a method for estimating the direction of arrival (DOA) of multi-path signals for an underdetermined case, where the number of incident signals exceeds the number of sensors. Some DOA estimation methods have already been proposed for multi-path signals. However, most of them cannot be used for an underdetermined case. To deal with this problem, we propose a novel DOA estimation...
Based on data mining, the main impact factors of urban life water consumption are made gray relational analysis with the water consumption. The main driving factors of urban life water consumption are discussed. By the gray forecasting of the development trends of the main impact factors, a grey prediction of GM (0, N) model on urban life water is established. An instance proves to fit the data better...
The paper considers the problem of reconstructing blocks-sparse signals. A new algorithm, called synthesized multitask compressive sensing (SMCS), is proposed. In contrast to existing methods that rely on the availability of the sparsity structure information, the SMCS algorithm resorts to the multitask compressive sensing (MCS) technique for signal recovery. The SMCS algorithm synthesizes new compressive...
We consider in this paper detecting stochastic signals with known probability density function (PDF) from their compressive measurements. We refer to it as the compressive detection problem. The Neyman-Pearson (NP) theorem is applied to derive the NP detectors for Gaussian signals. Our work is more general over the existing literature in the sense that we do not require that the measurement matrix...
Pixel-level image fusion (PLIF) performance assessment includes information theory, feature-based, structural similarity, and perception-based objective metrics. However, to relate these metrics to human understanding requires subjective metrics. This paper proposes to use statistical analyses to assess PLIF performance over objective and subjective metrics. Non-parametric tests are applied to the...
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.