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.
As a shared economy platform, Airbnb provides collaborative practices for customers and guides them to match with hosts' rooms. Based on the records and ratings, there is great significance attached to inferring the satisfaction between users and rooms. Several essential problems arise when evaluating satisfaction and matching. Data confidence and prediction bias influence the inference performance...
E-health is one of the domains which will need more and more IoT solutions in the future, as it requires short delays for life-dependency situations and safe local storage spaces for privacy matters. The emergency context demands efficient communication and computing capacities, and the cloud vision as well as traditional TCP/IP way of communication cannot really suit these requirements. New approaches...
In cognitive radio network (CRN), secondary users (SUs) suffer from the spectrum sensing data falsification (SSDF) attack launched by malicious users (MUs). To deal with SSDF attack, one of the typical artificial neural networks (ANN): self-organizing map (SOM) neural network is recommended. SOM network possesses the ability of classifying the SUs into categories with different frequency of occurrence...
Efficient and robust wireless video delivery is an enabling technology for various applications. The existing wireless video transmission scheme has the cliff effect and it cann't gracefully adapt to channel variations. In this paper, we introduce a pseudo-analog wireless video transmission improvements and design in the hardware. Comparing with the traditional transmission, the linear processing...
The increasing use of digital signal processors (DSPs) in wireless communications and signal processing necessitates the optimization of compilers to support special hardware features. In this paper, we propose a compiler transformation method for zero overhead loop (ZOL). It supports very long instruction word (VLIW), internal branches and the loops whose iterative times are known at runtime and...
The poor performance of MHD ARS at low frequency has depressed its accuracy and application range. A preliminary study on the magnetohydrodynamic (MHD) angular rate sensor combing Coriolis effect (C-MHD ARS) is made to achieve the low-frequency bandwidth expansion. Physical model of C-MHD ARS is given, and then the physical design with an MHD pump is described. The numerical simulation and experiment...
Industrial mechanical arm is widely used in aircraft manufacturing such as aircraft skin drilling and riveting. However, due to the open-loop controlling of the mechanical arm, the positioning precision cannot meet the high accuracy requirement in aircraft manufacturing. Therefore, this paper proposes a novel automatic tracking approach by using monocular vision technology. Due to the uncertain attitude...
Improving the resilience of smart grid in disaster can reduce the loss and increase the speed of power restoration. In this paper, considering the function of black-start power source during system restoration and power supply for important loads, the differentiated planning model has been proposed to improve the resilience in smart grid. The proposed model aims to optimize both the cost of load-shed...
Concept factorization has attracted much attention in the past few years. To consider the manifold structure embedded in data, the graph regularizer is incorporated into model of concept factorization. However, a single graph cannot effectively model the intrinsic structure information of data. To solve this problem, a novel method, called Structured Discriminative Concept Factorization (SDCF), is...
AbstractłIn order to enhance the robustness of kernel correlation filters(KCF) in complex background environment, this paper proposes a mean shift method with adaptive local object tracking algorithm. KCF algorithm has speed advantage by using the single template, we introduce the confidence map in the process of the tracking to determine the result of the current frame. If the result of confidence...
Visual object tracking is one of the basic units in the construction of smart cities, which focuses on establishing a dynamic appearance model to represent and recognize the target in complex scenarios. In this paper, we consider visual object tracking as multiple local patches matching problem and design an online tracker based on correlation filter and binary descriptors. We integrate binary descriptors...
This paper researches and analyzes the current situation of the application of mobile medical services in chronic disease monitoring and management. With chronic diseases and mobile medical development trend in China, we propose a monitoring and management system for the physical sign of elderly patients with chronic diseases. By using the system, patient can monitor and upload the physical sign data,...
A family of powerful and resource efficient Turbo codes is developed for sensor networks. In the hardware realization of Turbo code decoder, recalculation of the forward or backward state metrics is an effective method to reduce the size of state metrics cache. To facilitate recalculation of the state metrics, an optimized max* operator is presented in this paper. Calculation of the proposed max*...
As a meaningful and typical application scenario of Internet of Things (IoT), Internet of Vehicles (IoV) has attracted a lot of attentions to solve the increasingly severe problem of traffic congestion and safety issues in smart city. Information-centric networks (ICN) is a main stream of next generation network because of its content based forwarding strategy and in-network caching properties. Many...
Nowadays, one of the most challenging design issues of battery-driven real-time embedded systems is how to reduce energy consumption such that the battery life can be prolonged. Based on dynamic voltage scaling technology, many energy-efficient real-time task scheduling algorithms have been proposed, however, relatively little work is done in the presence of task synchronization. In this paper, energy-efficient...
In wireless sensor networks, Information-Centric Networks (ICN) are used as the next generation network architecture to perform non-TCP/IP communications. Meanwhile, Disruption/Delay Tolerant Networks (DTN) architecture has solved the problem of unable to communicate caused by frequent interruptions, node mobility or lacking of energy by storing the requested data in nodes' memory. However, the users...
A 65 m diameter full-steerable radio telescope TMRT with the frequency coverage from 1.25 to 50.0 GHz is newly built at Shanghai. To satisfy the demands of the pulsar and spectral line observations, a Digital Backend System (DIBAS) was built for this telescope. The DIBAS can support both the pulsar search and online folding pulsar observation. Either the coherent or incoherent dedispersion pulsar...
In the process of aircraft residual ice detection based on near infrared spectrum method, the qualities of the images, such as brightness and contrast, are easily influenced by sunlight, weather and other factors. Therefore, it is hard to precisely match the feature points. In this paper, an improved Harris local invariant feature matching method is proposed. The improved Harris feature point detection...
We present a new Cascaded Shape Regression (CSR) architecture, namely Dynamic Attention-Controlled CSR (DAC-CSR), for robust facial landmark detection on unconstrained faces. Our DAC-CSR divides facial landmark detection into three cascaded sub-tasks: face bounding box refinement, general CSR and attention-controlled CSR. The first two stages refine initial face bounding boxes and output intermediate...
We present a framework for robust face detection and landmark localisation of faces in the wild, which has been evaluated as part of `the 2nd Facial Landmark Localisation Competition'. The framework has four stages: face detection, bounding box aggregation, pose estimation and landmark localisation. To achieve a high detection rate, we use two publicly available CNN-based face detectors and two proprietary...
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.