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Monitoring system provides a clear insight into the state and performance of service components in cloud computing platforms. It collects metrics from dispersed sensors and stores them in databases for show and future query. To choose the most suitable database for a monitoring system is complex, since the performance requirement on cloud monitoring system in different data centers differs widely...
The users of modern buildings require more and more comfort and for fulfilling habitation requirements they expect more achievements. Air-conditioning, refrigeration, lighting system, security and camera system, telecommunication system and computer network have been added beside the traditional heating and ventilation. Concurrently with the requirements of the users, the demands of the operation...
Overhead power distribution lines have significant power quality variations (voltage transients) during thunderstorms. Lightning strokes, whether direct or indirect, are among the main causes of such power quality disturbances. In order to assist the analysis of lightning effects on power quality indices, we present in this paper a monitoring network and an integrated database analysis, including...
Aiming at the defects of the common communication emitter recognition method, that the targets can't be recognized in the condition of low SNR, a modified communication emitter recognition method based on evidence reasoning theory is proposed. Characteristic selection and database reconstruction is applied to solve the problem of indistinct input, and the D-S algorithm of weighted averaging is applied...
Cognitive Radio Networks (CRNs) enable opportunistic access to the licensed channels by allowing secondary users (SUs) to exploit vacant channel opportunities. One effective technique through which SU s acquire whether a channel is vacant is using geo-location databases. Despite their usefulness, geo-location database-driven CRN s suffer from location privacy threats, merely because SUs have to query...
Databases have been considered in the context of spectrum sharing systems to collect information on spectrum usage by primary users and to provide information on spectrum opportunities to secondary users. We develop a database-aided distributed channel assignment protocol (CAP) for secondary access control in a spectrum sharing system. Based upon a slotted, multichannel random access system model,...
In the future, the farm will turn into more and more data-rich environment. Thus, in order to successfully gather, store, analyze, and exploit this information in planning and decision making, sophisticated ICT infrastructures are required. In this work we will delve into the theory and requirements such infrastructure has, as well as introduce the Cropinfra system as a prototype of such infrastructure.
A novel moving object classification system using UWB radar and classifier based on decision tree structure are proposed. By using the proposed radar system, we construct UWB radar signal database by considering two movements and four moving directions of human and dog. The proposed classifier is based on nonlinear support vector machine (SVM) using RBF kernel and use linear predictive code (LPC)...
Web of Things (WoT) can be considered as a merger of newly emerging paradigms of Internet of Things (IoT) and cloud computing. Rapidly varying, highly volatile and heterogeneous data traffic is a characteristic of the WoT. Hence, the capture, processing, storage and exchange of huge volumes of data is a key requirement in this environment. The crucial resources in the WoT are the sensing devices and...
The SmartHG project goal is to develop a suite of integrated software services (the SmartHG Platform) aiming at steering residential users energy demand in order to: keep operating conditions of the electrical grid within given healthy bounds, minimize energy costs, and minimize CO2 emissions. This is achieved by exploiting knowledge (demand awareness) of electrical energy prosumption of residential...
Novel sensor-equipped smartphones have enabled the possibility of harvesting large quantities of data in urban areas by opportunistically involving citizens and their portable devices, as mobile sensors widely available and distributed over Smart Cities areas, typically defined as Mobile Crowd Sensing (MCS). Although some existing efforts have already tackled some of the several MCS issues, to the...
The "Internet of Things" (IoT) represents an em- bodiment of the continuous convergence between the physical facet of human activities and its reflection on the informa- tion world. In the context of “Industrial Internet”, where the operation of complex physical machinery is integrated with networked sensors and software applications, IoT is under- stood as a technological enabler of significant...
Our life is becoming heavily documented and expressed on the digital substrate, which leads to an increasing demand of multimedia analysis tools to organize those memories and retrieve related information when required. Previous systems for information retrieval from first-person-view (FPV) rely on purely visual features, leaving aside the semantic information and failing to extract the personal nature...
Local descriptors represent a powerful tool, which is exploited in several applications such as visual search, object recognition and visual tracking. Real-valued visual descriptors such as SIFT and SURF achieve state-of-the-art accuracy performance for a large set of visual analysis tasks. However, such algorithms are demanding in terms of computational capabilities and bandwidth, being unsuitable...
Collaboration between human workers and robotic assistants is seen as one way to increase both flexibility and efficiency in a production line environment. In this setup, human workers can be assigned tasks that require high perceptual ability, dexterity and judgement, supplemented by robotic assistants that can perform work of low (skill) value, such as fetching and delivering parts and tools. Key...
The Internet of Things (IoT) is now shaping our cities to make them more connected, convenient, and intelligent. However, this change will highly rely on extracted values and insights from the big data generated by our cities via sensors, devices, and human activities. Many existing studies and projects have been done to make our cities smart, focusing more on how to deploy various sensors and devices...
When a tool is used to tap onto an object or it is dragged over the object surface, vibrations are induced in the tool that can be captured using acceleration sensors. Based on these signals, this paper presents an approach for tool-mediated surface classification which is robust against varying scan-time parameters. We examine freehand recordings of 69 textures and propose a classification system...
Sensing the environment and the body of care recipients is the cornerstone of any e-care system. In this paper we present the home infrastructure modules necessary for this sensing. We then focus on the sensor groups offering specific context extraction capabilities, the processing of their signals, the description of the resulting metadata and their local storage. Utilising the extracted context...
Currently, identity management systems work with heterogeneous iris images captured by different types of iris sensors. Indeed, iris recognition is being widely used in different environments where the identity of a person is necessary. Therefore, it is a challenging problem to maintain a stable iris recognition system which is effective for all type of iris sensors. This paper proposes a new cross-sensor...
Self-adaptive systems overcome many of the limitations of human supervision in complex software-intensive systems by endowing them with the ability to automatically adapt their structure and behavior in the presence of runtime changes. However, adaptation in some classes of systems (e.g., Safety-critical) can benefit by receiving information from humans (e.g., Acting as sophisticated sensors, decision-makers),...
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