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 presents a new method of smart waste city management which makes the environment of the city clean with a low cost. In this approach, the sensor model detects, measures, and transmits waste volume data over the Internet. The collected data including trash bin's geolocation and the serial number is processed by using regression, classification and graph theory. Thenceforth a new method is...
Flexibility and extendibility of Software Defined Networks allows development of diverse network management and flow monitoring techniques. Yet, there are inherent tradeoffs between the quality of flow monitoring and the required network resources. In particular, collecting flow statistics, at the level of specific source-destination addresses (and, moreover, specific protocols and ports), requires...
It is well recognized that air quality inference is of great importance for environmental protection. However, due to the limited monitoring stations and various impact factors, e.g., meteorology, traffic volume and human mobility, inference of air quality index (AQI) could be a difficult task. Recently, with the development of new ways for collecting and integrating urban, mobile, and public service...
Microseismic monitoring technology has broad application prospects in large-scale civil engineering safety monitoring fields, such as tunnels. However, due to the lack of a perfect localization method, the microseismic monitoring system has the large localization error at present. To solve this problem, firstly, we preprocess the chaotic microseismic signal, using power spectrum analysis method to...
Coverage issue in directional sensor networks (DSNs) is different from traditional omni-directional wireless sensor networks (WSNs) due to the limited angle of view and adjustable working direction. This paper sets up a model of monitoring area and a model of sensing area according to the unique characteristics of directional sensor and then derives an optimization model for area coverage ratio maximization...
A new MATLAB toolbox DB-KIT was recently developed for the design and implementation of fault diagnosis systems. For the purpose of key performance indicator (KPI) oriented fault detection, over the past few years, a series of test statistics and the corresponding thresholds were derived based on the modified data structures originating from the existing multivariate statistical analysis tools. These...
Exploiting camera sensors to conduct intruder detection has attracted a lot of research attention. Different from the traditional sensor with omni-directional sensing model, a camera sensor usually has a specified direction with a fixed sensing angle of sensing area. The sensing quality of coverage is critical to the application of coverage scheme. In this paper, we first investigate the complete...
In this paper, we investigate the quality of information (QoI) maximization problem by jointly optimizing the sampling rate, packet-dropped rate, and transmit power in wireless sensor networks (WSNs). We consider a complicated but practical scenario, where various tasks with heterogeneous traffic are supported by one WSN simultaneously. Accordingly, the QoI maximization problem is formulated as a...
This work focuses on the design improvement of a tri-axial piezoresistive accelerometer specifically designed for head injuries monitoring where medium-G impacts are common, for example in sports such as racing cars. The device requires the highest sensitivity achievable with a single proof mass approach, and a very low error as the accuracy for these types of applications is paramount. The optimization...
The use of sensing technologies in industrial environments has opened many possibilities for monitoring and control applications, driving much research efforts in the last years. Among the challenging issues related to industrial wireless sensor networks, efficient nodes deployment is a major concern since it can directly impact the way sensors operate, which has demanded proper solutions. When sensing...
Edge computing, which is a fundamental component of emerging 5G architectures, involves onloading or offloading multiple virtual network functions from mobile devices to an edge network substrate. In this paper, we present a model for the complete edge function onloading problem, which consists of three main phases: (1) Cyber foraging, which involves discovery of resources monitoring the state of...
This paper introduces a dead-time optimization technique for a 2-level voltage source converter (VSC) using turn-off transition monitoring. Dead-time in a VSC impacts power quality, reliability, and efficiency. Silicon carbide (SiC) based VSCs are more sensitive to dead-time from increased reverse conduction losses and turn-off time variability with operating conditions and load characteristics. An...
PLS is widely used in the quality control process system, but it has poor capability in some strong local nonlinear system for fault diagnosis. To enhance the monitoring ability of such type fault, a novel statistical model based on global plus local projection to latent structures (GPLPLS) is proposed. Firstly, the characteristics and nature of quality-related global and local partial least squares...
In this paper, the operating conditions of vehicle internal combustion engine (ICE) waste heat utilization system are monitored by improved support vector machines (SVMs). Organic Rankine Cycle (ORC) is used to recover the ICE waste heat. Several optimal approaches are employed when training SVMs. The improved SVMs are then employed to monitor the operating conditions of the ICE waste heat recovery...
The optimal operation system is the key instruction system in CCHP (combined cooling, heating and power) systems, while its development and test always keep a challenge due to the structure complexity and high energy coupling degree. To solve this problem, an emulation testing platform was designed for CCHP systems to test and verify the specified optimal operation system. The stability and reliability...
Self-adaptive systems employ feedback loops to cope with possibly unpredictable environment changes. These feedback loops not only have to capture a suitable adaptation logic, but also have to adhere to non-functional constraints like timing and qualities like precision. Several design options influence these aspects. However, they are often not explicitly accessible in feedback loops and may interfere...
For the WSNs lifetime optimization, the non-disjoint set covers (NDSC) based coverage control approach has brought out a better performance. In addition, it yields a promising indicators in term of reliability, resilience and the possibility to be used for heterogeneous WSNs. This paper addresses the WSNs resiliency assessment via NDSC approaches to WSNs lifetime optimization. We investigated the...
The paper presents the design and implementation of an integrated wireless network that support to the multiparametric geophysical monitoring network of the Campi Flegrei volcanic area. The wireless network is equipped with a tool for real-time monitoring and fault detection. The enhancement of the transmission system with respect to the previously existing one has been realized in view of the increased...
In many security systems, it is sufficient to monitor a certain territory with the same type of devices in such a way that each point of the territory falls into the coverage area of at least one device while minimizing the energy consumption of the devices. However, in some security systems, it is necessary to observe objects from a certain side. For example, to identify a person you need to see...
We estimate the moment magnitudes of microseismic events by fitting theoretical models to the amplitude spectra of the corresponding recorded signals. To this end, we combine the available information by stacking the seismic traces that contain the event and use Very Fast Simulated Annealing (VFSA) to solve the optimization problem. We test the procedure on pseudo-synthetic and real data considering...
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.