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.
Molecular distillation technology is a kind of industrial separation technology, which can greatly improve the purity and yield of the product. However, due to the process of molecular distillation is very complex, it is difficult to establish a precise mathematical model to realize an expected control. So, in this paper, considering that BP neural network can approximate any nonlinear system, a large...
This paper presents the methods we adopt for ICME2017 large scale 3D human activity analysis challenge in depth videos. There are two tasks including the segmented activity recognition and the untrimmed activity detection. We adopt a network structure comprised of two LSTM layers, a fully connected layer and a softmax layer. For the recognition task, we investigate several schemes to handle the inconsistency...
The combination of fast online anomaly detection and offline learning is a vital element of operations in large-scale datacenters and utility clouds. Given ever-increasing datacenter sizes coupled with the complexities of systems software, applications, and workload patterns, such anomaly detection must operate continuous and real-time at runtime. Further, detection should function for both hardware...
DC/OS is a widely used distributed operating system that abstracts the resources of light-weighted virtualized datacenters, which is based on Mesos distributed systems kernel and user space services such as Marathon. It automates resource management and process scheduling, thus significantly impacts the performance of datacenters. In this paper, we propose Themis, a flexible, automatic and distributed...
Content-based image retrieval (CBIR) in large medical image archives is a challenging and necessary task. Generally, different feature extraction methods are used to assign expressive and invariant features to each image such that the search for similar images comes down to feature classification and/or matching. The present work introduces a new image retrieval method for medical applications that...
Facial landmark detection is a vital step in face recognition. Current facial landmark detection methods have not obtained the satisfied results to handle multi-view face images. In this paper, we propose a Multi-ESR method based on Explicit Shape Regression method, in which different ESR models are trained in different views. Furthermore, a simple and effective method to estimate the head pose is...
Parallel processing system has been extensively developed and used in numerous commercial servers for large-scale data analysis. However, the issues of scalability, reliability and efficiency cannot be achieved simultaneously. Motivated by this observation, a Multi-level Parallel Database System based on B-tree structure (MPDBS) is designed for large-scale structured data and semi-structured data...
we present FPT, a scheduling framework for periodic tasks that uses the temporal characteristic of periodic tasks to alleviate the overhead of geo-distributed data centers. In FPT, clients are able to express the periodicity about their tasks, and this characteristic is used to realize one-time scheduling for multiple executions. For a set of periodic tasks, aiming to find the minimum number of VMs...
To efficiently schedule jobs with highly diverse resource requirements along CPU, memory and bandwidth for job performance and resource utilization in a virtual machine based cloud environment, the multi-resource job scheduler is proposed to pack tasks to virtual machines under the notion of fairness and efficiency. Given the definition of job scheduling proportional fairness and utility function,...
The problem of hot bursty topic detection in user generated texts deserves great attentions with the proliferation of Internet technologies. However, traditional document clustering and probabilistic topic models that were developed for formal news articles are less effective for informal user-generated corpora. In this paper, we provide a graph-based perspective that well reflects the latent pattern...
Semantic web service technologies have been proposed to enable automatic web service discovery and composition. But such approaches are suffered from significant effort to construct domain ontologies and to annotate web services with semantics by third parties. Hence social and collaborative tagging systems have been gaining the popularity on the web. Folksonomy-based web service annotating is emerging,...
Monitoring traffics between applictions deployed in a distributed computing system (DCS) can help analyzers perceive the dynamic load of each application, and detect the anomalies in all the running processes. However, due to the factors of high dimension and strong periodicity, the traffic data is difficult to visualize and interpret. In this paper, we propose a traffic monitoring approach based...
The three-dimensional (3D) imaging technique based on phase measuring profilometry has numerous advantages in comparison with other structured light techniques. Measurement accuracy is often used as the primary performance index to evaluate three-dimensional imaging systems. To obtain satisfactory accuracy, the error sources are analyzed and the following three methods related to three aspects of...
A Dominant Resource Fairness (DRF) based scheme for job scheduling in distributed cloud computing systems which was modeled as multi-job scheduling and multi-resource allocation coupling problem is proposed, where the resource pool is constructed from a large number of distributed heterogeneous servers, representing different points in the configuration space of resources such as processing, memory,...
Loop-free routing is one of the most desirable qualities for multihop wireless networks. In this paper, we propose a new loop-free mechanism, Route Information Piggybacking (RIP), which emphasizes the utilization of data packets to facilitate route maintenance and loop detection. RIP is a lightweight mechanism and it can be easily integrated into any on-demand distance-vector routing protocol. We...
Based on Service-Oriented Architecture, an inexpensive solution, Parallel database middleware gather the standalone database instance to provide users with highly scalable relational data management platform. However, with the advent of the era of large-scale data, such platform has posed a serious challenge in the context of text data retrieval. Motivated by this observation, a parallel database...
EPCGlobal network is an RFID-enabled supply chain network which provides automatic data sharing for supply chain partners. EPCGlobal network improves the visibility of supply chains, but also magnifies the security and privacy concerns. There is a common view that there should be different visibility for different roles in EPCGlobal networks. Therefore, A secure query method should be proposed to...
The importance of storing and processing data eficiently is intensively highlighted in modern information technology infrastructures. Hadoop Distributed File System (HDFS) acts as the primary storage in modern cloud service environments and has been widely adopted for its portability and fault-tolerance. Current deployment of HDFS which runs on top of commodity hardware is unable to deliver desirable...
Cloud computing services offer elastic computing and storage to end-users over the Internet in a pay-as-you-go way. Many businesses have started using cloud computing. A Service Level Agreement (SLA) between a cloud service provider (CSP) and a user is a contract that specifies the resources and performances that the cloud should provide. However, a CSP has the incentive to cheat on SLA, e.g., providing...
Scheduling algorithms aim to minimize the completion time and maximize the throughput of multiple tasks. However, traditional scheduling schemes cannot satisfy the requirements of internet-based virtual computing environment which contains massive and heterogeneous computing resources. Furthermore, continuously emerging Internet applications are based on virtual computing, even worsening the situation...
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.