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.
Breast cancer is one of the major causes of death in women. In developing countries there is lot of lacking knowledge regarding it. Microcalcifications in the breast are the sign of developing the cancer tissues into large, so efficient mechanism to identify the microcalcification has to be considered and developed. In this paper we propose advanced K-Means clustering approach along with the homomorphic...
Civil Global Navigation Satellite System (GNSS) signals are vulnerable to spoofing attacks that deceive a victim receiver into reporting counterfeit position or time information. The primary contribution of this paper is a non-cryptographic GNSS anti-spoofing technique that “sandwiches” a spoofer between a correlation function distortion monitor and a total in-band power monitor. The defense exploits...
As spatio-temporal data have become ubiquitous, an increasing challenge facing computer scientists is that of identifying discrete patterns in continuous spatio-temporal fields. In this paper, we introduce a parameter-free pattern mining application that is able to identify dynamic anomalies in ocean data, known as ocean eddies. Despite ocean eddy monitoring being an active field of research, we provide...
Preliminary exploration on simulation data mining with BP network and rough set method is made in advance. Then data mining method based on rough set theory and BP neural network is put up. Firstly, the redundant attributes in the decision-making table with rough set method is reduced, and the noise is filtered by BP neural network. Finally, rule set is generated by rough set from the reduction decision...
The Digital Subscriber Line (DSL) systems performance tightly depends on noise interference. The users (lines) in the binder create mutual interference (crosstalk), therefore decreasing the rates of all users. Crosstalk noise is more predominant in DSL and its major performance bottleneck is to limit high-speed data rate. This study proposes a new real-time monitoring methodology for noise estimation...
We developed a Wide IO DRAM controller chip with Through Silicon Via (TSV) technology. Test circuitry is embedded in the micro-IOs placed between the fine pitch TSVs which can reject TSV connectivity failures prior to stacking process. In order to reduce Vmin degradation induced by 512 DQs simultaneously switching noise, we introduce a package-board impedance optimization method utilizing a full digital...
The paper presents an experimental study carried out in 2012 during the drilling activity for a pilot hole performed in the framework of the Campi Flegrei Deep Drilling Project. A monitoring network has been installed to test and choose a suitable ground deformation system for the subsequent deep drilling of about 3.5 km in the Campi Flegrei Caldera (Italy). We describe the seismic network installed...
Noise pollution affects human health in urban areas. A noise map facilitates monitoring of environmental noise pollution. It can promote citizens' awareness of noise pollution, and aid in the planning of urban area. However, state-of-the-art techniques for rendering noise maps by special equipment are expensive in urban areas. In this paper, we present the design, implementation and preliminary testing...
In this paper we consider the organization of exogenous karst monitoring and providing of geo-ecological safety in complex technical objects. We have substantiated the application of electrical methods for karst-suffusion processes monitoring, for example, Nizhny Novgorod nuclear power plant.
Extracting fetal electrocardiogram (ECG) from the abdominal composite signals acquired from the maternal abdomen remains an unsolved problem in biomedical signal processing. The aim of the present study is to recover the fetal ECG directly from the composite signals without the need of recording the maternal ECG reference signal. Thus, a technique that combines independent component Analysis (ICA)...
Arterial Ambulatory blood pressure monitoring have be very important clinical significance for the diagnosis of diseases and treatment options. While the blood pressure measurement and processing method is the key to improve the accuracy of blood pressure measurement. It is proposed here that the method of detecting blood pressure may be the key to improving the precision of blood pressure measurements...
Grassland is one of the most important parts of ecosystem on the earth. In China, one of the best grass lands is degrading because of draught or effects of human activity. It is important to monitor the growing condition of degrading grasslands. LAI is an important variable which can accurately represent the growing situation of grass. With DSD method, hyper-spectral images from HJ-1A satellite are...
Suppressing narrow-band interference is one of the key techniques of partial discharge (PD) on-line monitoring. Based on the characteristics analysis of FFT power spectrum of PD signals with and without the narrow-band interference, the partial peaks and partial energy ratio is defined. Thus, a method of suppressing narrow-band interference using partial energy ratio pretreatment is proposed, and...
Underwater ambient noise plays a fundamental role in the analysis of marine acoustics as well as of acoustical oceanography since it is an integral part of the marine environment and a key parameter for improving its sustainability and preserving the ecosystem. Furthermore, the detection and quantification of wind and rainfall events on a long-term basis from underwater sound measurements could greatly...
A distributed real-time system for monitoring and characterizing the underwater soundscape is presented in the context of environmental impact baseline assessment for the ocean energy industry. We discuss the development and deployment of an offshore acoustic monitoring buoy with real-time acoustic signal transmission capabilities and an accompanying sea floor-based sensor platform utilizing hydrophone...
Recent advances in sensing and communication technologies enable us to collect round-the-clock monitoring data from a wide-array of distributed systems including data centers, manufacturing plants, transportation networks, automobiles, etc. Often this data is in the form of time series collected from multiple sensors (hardware as well as software based). Previously, we developed a time-invariant relationships...
Objectives of the Aquistore CO2 storage project are to design, adapt, and test non-seismic monitoring methods that have not been systematically utilized to date for monitoring CO2 storage, and to integrate the data from these various monitoring tools to obtain quantitative estimates of the change in subsurface fluid distributions, pressure changes and associated surface deformation. Since spring of...
Various sensing systems have been exploited to monitor in-person interactions, one of the most important indicators of mental health. However, existing solutions either require deploying in-situ infrastructure or fail to provide detailed information about a person's involvement during interactions. In this paper, we use smartphones and on-body sensors to monitor in-person interactions without relying...
In this paper, PC-KNN is studied on the condition that the data dimension is reduced by PCA. FD-KNN (Fault Detection based on K — Nearest — Neighbor) has been applied in semiconductor manufacturing Fault Detection, it can handle nonlinear and multi modal testing problems that influence the performance of PCA. The computational complexity and higher requirement of time and storage space have become...
Although most of the medical and healthcare monitoring systems generate multi-dimensional time series (via multiple sensors), most of the work by research community has been focused on defining distance metrics and matching algorithms to improve accuracy and optimize performance of search in single dimensional time series. In this work we motivate the need for multidimensional time series matching...
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.