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.
2017 14th International Symposium on Pervasive Systems, Algorithms and Networks & 2017 11th International Conference on Frontier of Computer Science and Technology & 2017 Third International Symposium of Creative Computing (ISPAN-FCST-ISCC)
In the data migration study, in order to make migration efficient, accurately measuring the value of data is useful. Aiming at the problem that the existing data value measure method can not describe the true value of data accurately, this paper presents a new evaluation method of data value. The algorithm not only considers the size of the data, access time, file content, data read and write frequency...
Deriving deadline and period for update transactions has long been recognized as an important problem in real-time database research. Despite years of active study, the state of the art only focuses on scheduling of update or control transaction separately. In this paper, we study the problem of deriving deadlines for update transactions in co-scheduling environment upon uniprocessor platforms. We...
Establishing reliable correspondences is often challenging for retinal image registration with poor quality and low overlap. The conventional local search methods usually find many incorrect correspondences by feature descriptor, which would degrade the accuracy of image registration. In this paper, we propose a robust correspondence detection framework for low overlap and poor quality retinal image...
There are some characteristics about fish images, such as a wide variety of fish species, sheer numbers and difficult to retrieve. In this paper, we propose a fish image retrieval method based on saliency region and spatial pyramid. Firstly, we extract the interesting-regions of fish image by using saliency algorithm to reduce the influence of background in the images. And then, we extract SURF features...
To solve the problem of real-time and regional identification in an intelligent control classroom, both edge and extended moment invariants are employed in this paper. By computing and visually analysing the moment invariants from a classroom video image, a set of 10-dimensional edge invariant moments is chosen, which is stable, practical and provides adequate real-time performance. The pattern recognition...
In this paper, an e-health framework specially conceived for remote examination of patients and injured persons in case of accidents is presented. This architecture is based on coupling the real-time communication capabilities of WebRTC and the advantages brought by the Web of Things (WoT). We focus on the security aspects, especially for the security of the medical data exchanged between the different...
Using the minimum number of broadcasts to flood information in a vehicle network so that the maximum number of vehicles receives the information is a critical issue. Up to now, no research reports show the relationship between broadcast radius and success rate, the one-hop broadcast efficiency (i.e., the ratio of nodes that successfully received nodes to all nodes within the broadcast range). Determining...
More and more software developers and information-technology professionals embrace the container technology, because it packs the required libraries and settings of software into a single image so that the deployment can be easily done anywhere without the issues of compatibility. On top of single containers, orchestration tools are essential to automate the deployment and operation of complex systems...
Live-cell time-lapse images generated by biological experiments are useful for observing activities, even for proposing novel hypotheses. By identifying particles and cells as objects from live-cell time-lapse images and then tracking the pathways of particles (or cells) to calculate the measures between the particles and cells, such as the distances, they can be quantized for the relationship of...
Accurate quantification of brain tissues is a very challenging problem in neuroimaging, such as quantification of gray matter (GM), white matter (WM) and cerebrospinal fluid (CSF), and white matter lesions (WMLs). However, on many cases brain tissues and white matter lesions cannot be segmented and separated simultaneously by current techniques. Recently, a TRIO algorithm (TRIOA) is proposed to integrate...
Smart homes are an application domain that is inherently connected to explicit and implicit user interaction. Following a user-centred design approach, we have to look at the user's needs and preferences when designing systems and components for smart homes. In this paper, we provide an overview on what users in Germany want and wish from technology in their homes, based on former studies. We focus...
In order to satisfy the higher precision of indoor location-based service (ILBS), scholars have explored a great deal of algorithms based on Wi-Fi, ultrasonic, RFID or infrared, but all of which need additional device settings for transmitting and receiving signals before implementing location recognition. This paper proposed an idea that how to conveniently find the optimal feature or composite features...
At this stage of development of science in the world raises the question of new methods for solving optimisation and a large number of applications, i.e. the creation of innovative solutions. This article analyses the state of science in the direction of innovation solutions for different problems. In scope of the article the possibility of creative computing and type-variety principle in different...
In this work, a group handoff scheme from a mobile AP to a fixed AP and vice versa for downloading and sharing of group touring's Points of Interests (POIs) based on the concept of proximity service were proposed. In a group touring scenario, the tour guide enables the Wi Fi hot spot service of his own handheld device, which plays the role of mobile proxy and mobile AP (m-AP), and each tourist has...
Inter-domain link congestion can be caused by either under-provision or peer disputes. TSLP and M-Lab are two representative network-tomographic methods to detect congestion on inter-domain links. In this work, we propose a performancecost framework to evaluate and compare the two methods via a simulator built atop NS-3. Via detailed simulations, we obtained some insights on the two approaches and...
Wireless Mesh Networks (WMNs) are gaining popularity due to the features provided, especially the low cost and self-configuration ability. In WMNs, the data traffic is transmitted through intermediate nodes and a number of packets are dropped during the transmission due to various reasons. One significant reason is the limitation of network resources such as bandwidth and buffer size. Because of these...
Self-training plays an important role in sports exercise. However, if not under the instruction of a coach, it would be ineffective for most amateurs or inexperienced players to exercise on their own. Therefore, establishing computerassisted training systems for sports exercise is a recently emerging topic. In this paper, we propose a billiard self-training system, which aims at improving billiard...
Cerebral images include several artifacts, such as partial volume effect which limit the diagnostic potential of brain imaging. So, the main objective of this paper is to reduce the effect of partial volume averaging on the boundaries of the ventricles. We thus proposed a fuzzy-genetic brain segmentation scheme for the assessment of white matter, gray matter and cerebrospinal fluid volumes from brain...
Many noninvasive continuous blood pressure measurements using photoplethysmography (PPG) are still inadequate in terms of accuracy and stability, which hinders the practical application of this method. This paper proposes a model based on ensemble method for BP estimation using PPG. A number of blood pressure calculation base-models is built on the same training data. These base-models are used to...
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.