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.
To achieve high throughput, core count in compute accelerators such as General-Purpose Graphics Processing Units (GPGPUs) increases continuously. The communication demand of these cores boosts the demand for a low-latency packet switched network. As packet latency is mainly composed of per-hop latency, contention latency and serialization latency, a favorable Network-on-Chip (NoC) design should efficiently...
With the development of Internet technology, online job-hunting plays an increasingly important role in job-searching. It is difficult for job hunters to solely rely on keywords retrieving to find positions which meet their needs. To solve this issue, we adopted item-based collaborative filtering algorithm for job recommendations. In this paper, we optimized the algorithm by combining position descriptions...
Recommendation system has been placed much emphasis by researchers and programmers to deal with the information overload. Collaborative filtering algorithm is the most commonly used one. In order to enhance its performance, the Matrix Factorization was discovered to base the collaborative filtering. This paper elaborates on the collaborative filtering algorithm based on Matrix Factorization and gives...
According to the visual characteristics of the human eye perception, a no-reference(NR) stereoscopic image quality assessment(SIQA) method is proposed based on contourlet transform, which considered from the quality of the viewpoint images and the depth perception. Firstly, the subband energy of the left and right viewpoint images is extracted as viewpoints feature by contourlet decomposition. Then,...
In the wake of online meal ordering, healthy and nutritionally balanced combos also have been the focus of the attention. At present, some well-made diets attend to be specific to the patients, children or expectant mothers. Some which sacrifices the quality taste for the pure nutrient balance may have little feasibility. This paper, based on the analyses of the users' demands by means of all functional...
With the advent of the Internet of things (IoT) and smart sensor technologies, the data-driven paradigm has been found promising to support human behavioral analysis in a smart home for better healthcare and well-being of senior adults. This work focuses on discovering daily activity routines from sensor data collected in a smart home. By representing the sensor data as a matrix, daily activity routines...
This paper is an initial study of device-free human detection using channel state information (CSI) in WiFi networks. After collecting the CSI data in the target area, the proposed detector contains three steps, preprocess, feature extraction, and making decisions (human presence or absence). Experiments, based on real CSI measurements, proof the concept of human detection. Results show that, using...
This paper presents the design method using topology optimization and the fabricating feasibility using Fused Deposition Modeling (FDM) 3D printing technique for Functionally Graded Material (FGM) insulator. The concepts of FGM and topology optimization are primarily introduced. And a topology optimization approach based on COMSOL Multiphisics is proposed. The optimization objective is to uniform...
With the explosion of Internet information, recommender system plays an increasingly important position in online video searching. Collaborative filtering technique the most popular recommendation algorithm is inefficient in cold-start scenario. In this paper, we focus on new movie cold start problem and aim to bridge the gap between movie labels and movie similarity. A useful approach is proposed...
In order to improve the efficiency of abnormal event detection for Internet of Things, this paper proposes an abnormal event detection scheme based on compressed sensing. Due to the low energy consumption target constraints, the cluster-head often has no ability to collect all the data of the terminal nodes. Therefore, a sparse model of terminal nodes is proposed, which is applied to the WSNs scenario...
For the future of sustainable energy, renewable energy will need to significantly penetrate existing utility grids. While various renewable energy sources are networked with high-voltage DC grids, integration between these high-voltage DC grids and the existing AC grids is a significant technical challenge. Among the limited choices available, the modular multi-level converter (MMC) is the most prominent...
Data collaboration among processes and complex process analysis requirements in collaboration design bring the challenges to the efficient and usable querying of distributed data provenance. In this paper, we propose a comprehensive provenance view of distributed data provenance among collaboration design processes by data provenance combination and dependency abstraction, define the context of provenance...
With the further and faster urbanization, here come the advent and development of intelligent public transportation system. The identification of the traffic signs, as a key component of the intelligent transit system, has a prospect of widespread use in self-driving and driver assistance system. The paper focuses on the classification and identification of traffic signs based on the researches on...
A novel LCPCF-SPR sensor with a graphene-coating gold layer is reported with a larger wavelength difference between phase matching point and propagation loss peak. It also shows coexistence of positive/negative RI sensitivity.
Environmental Microorganisms (EMs) are very diverse and live in every part of the biosphere (rivers, forests, mountains, etc.), playing critical roles in earth's biogeochemical cycles as they are responsible for the decomposition of waste. Currently, a lot of manual efforts through morphological analysis using microscopes have been put on looking for EMs; however, these methods are expensive and time-consuming...
A vast amount of toxicological data can be obtained from feature analysis of cells treated in vitro. However, this requires microscopic image segmentation of cells. To this end, we propose a new strategy, namely Supervised Normalized Cut Segmentation (SNCS), to segment cells that partially overlap and have a large amount of curved edges. SNCS approach is a machine learning based method, where loosely...
Zr-based metallic glass(Zr-BMG) shows several particular features in generating regular patterns after femtosecond laser irradiation. The gradual transition from irregular roughness to polarization-perpendicular regular submicron ripples and regular over micron spaced structures parallel to the laser polarization was observed. In specific conditions singular cracks oriented parallel to the polarization...
With the rapid development of regional economy in Shandong Province, the demand of electric power increases rapidly. So, the development of the substation construction and its status information detection system has led to the massive power equipment status information data, which needs to be sorted out and standardized work. In this paper, the MapReduce technology is used for the degradation processing...
With the explosive growth of information in dimension and magnitude, how to understand these complex data becomes a big challenge. Visualizing data with multivariate attributes is a hot research field in the information visualization domain. This paper makes a research of multivariate data visualization, and uses various attributes mapping method in visualizing movie network data for personalized...
The exponential growth of online videos imposes urgent demands on near-duplicate video detection. Near-duplicate keyframe detection is at the base of near-duplicate video detection. In this paper, based on the analysis of the state-of-the-art of near-duplicate keyframe detection, GrayScale Pyramid (GSP) is processed for improving the global feature of color histogram. By constructing the spatial pyramid...
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.