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.
With the rapid development of Internet Protocol Television (IPTV), operators are more interested in user Quality of Experience (QoE). The aim of QoE prediction is to study the relationship between the user QoE and the features selected from IPTV set-top box. To handle this issue, in this paper, we propose an IPTV user QoE prediction algorithm based on the long short-term memory (LSTM) network. Specifically,...
Semantic segmentation for remote sensing images is a critical process in the workflow of object-based image analysis. Recently, convolutional neural networks(CNNs) are powerful visual models that yield hierarchies of features. In this paper, we propose a deep convolutional encoder-decoder model for remote sensing images segmentation. Specifically, we rely on the encoder network to extract the high-level...
This paper proposes an integrated poor-quality model to find the potential relationship between elected STB (set-top boxes) indicators and network conditions. The target is to make the IPTV network fault diagnosis more accurately and efficiently, especially for the sudden pause or blurred screen. The integrated poor-quality model consists of indicator, record and user model. Firstly, the poor-quality...
This work explores the true user QoE according to the users' preferences and behaviors when the users know that they are being observed and concern about their privacy. We propose a systematic privacy-aware QoE evaluation scheme based on the observable user data. Firstly, we translate the subjective privacy- aware QoE evaluation problem into the objective rational user analysis procedure. Then, a...
This paper proposes a novel quality assessment scheme for IPTV operation and maintenance. It is an integrated system to make the IPTV network fault location diagnosis more efficiently and accurately. Specifically, the potential user complaint and potential warning facility are integrated for constructing the IPTV service quality assessment system. When handling the determination of the potential warning...
Over the past 20 years, information fusion has seen rapid development and has been used in many applications, including pattern recognition and computer vision. Multi-modal biometrics is one form of information fusion where biometric information from different modes of input (e.g., finger print, iris image, face image) is fused in order to achieve superior recognition performance. In this paper we...
IPTV is a new multimedia service over the Internet. The rapid development of IPTV makes the assessment of quality of experience in IPTV a hot topic to the service providers. In this paper, we study the relationship between the record of some viewing parameters from the IPTV set-top box and the users' Quality of Experience (QoE). Firstly, we analyze the data and choose some important attributions and...
With the popularity of IPTV in television industry, IPTV operators pay more attention on user's experience so that they could gain more revenue under fierce competition. Quality of Experience (QoE) is used to describe the user's degree of satisfaction and the prediction of QoE is gradually to be the interest for IPTV operators. To solve this problem, we propose a QoE prediction algorithm. Specifically,...
In a complex dynamical network, one node often has multidimensional dynamics. In this paper, the structural controllability of complex dynamical networks with multidimensional node dynamics is studied. Using the Maximum Matching principle, the node states supposed to be controlled are selected. The number of driver nodes reaches its minimum value. Considering whether the states of driver nodes are...
Aluminum electrolytic capacitors are widely used in the converter systems of wind turbines. Though vital the capacitors are they are the “weak link” in wind turbines. Accurately predicting its remaining useful life is of great importance. However, traditional estimation methods are only applicable to the static operating conditions. This paper proposed an estimation method by introducing the virtual...
Simulation of ultrasound pressure fields is representative computationally demanding algorithm. In order to get results back in finite time, the number of source points and observation points are often limited. The introduction of graphics processing unit (GPU) can significantly speed up this algorithm. We implemented the simulator which based on the same principle as the Ultrasim toolbox, where spherical...
seL4 is formally verified for its functional correctness and its kernel modules provide strong support to achieve interprocess communication mechanism. In recent years, some scholars designed Interprocess Communication Systems with library-based architecture. This design abandons Message-Passing technique that most of microkernels adhere to. The present research still insists on the Message-Passing...
K-nearest neighbor (KNN) is a popular classification algorithm with good scalability, which has been widely used in many fields. When dealing with imbalanced data, minority examples are given the same weight as majority examples in the existing KNN algorithm. In this paper, we pay more attention to the minority class than the majority class, and we increase the weight of minority class according to...
Survivability is the primary problem in wireless visual sensor networks (WVSNs) when they are utilized for sewage monitoring with limited resources. In this paper, we propose a low-cost data prioritization framework for sewage microorganism microscopic images to overcome this frangibility of WVSNs. Firstly, an improved fast visual background extraction (Vibe) algorithm is proposed to rapidly detect...
Currently, traditional algorithm performs not well in terms of predicting the user's complaint in imbalanced IPTV dataset. To solve this problem, we combine status data from the set-top box with data of user's complaints and select the appropriate model to predict user's quality of experience (QoE). Concretely, we firstly perform data cleaning and select suitable attributes from the original dataset...
Numerous studies of human gene function have been launched since the sequencing of the human genome. Global molecular profiling studies of hepatocellular carcinoma (HCC) are providing a comprehensive view of the expression changes that occur during the carcinogenic process and are uncovering promising biomarkers with clinical potential. In this chapter, an overview of recent gene expression profiling...
The emergence of network television (IPTV) has heavily promoted development of the technology and prosperity of the market in the TV industry. In order to win in the fierce competition, IPTV content providers need to be sure to provide users with interesting service, and operators also need to ensure quality of service transmission so that they can improve users quality of experience (QoE). How to...
In recent years, the competition in the IPTV industry is becoming more and more fierce. It is important for IPTV service providers to study and improve users' QoE. In this paper, we discuss the relationship between user's QoE and the status of IPTV set-top box. We firstly clean the imbalanced data and then create a mapping between user's complaints and user's QoE. We improve the AdaBoost algorithm...
IPTV is an increasingly important service for telecom operators. Service providers have to repair IPTV faults quickly in order to provide high quality service. It will be very helpful if faults can be predicted. Considering this situation, we combine status data from the set top box with the data of customer trouble tickets and then build a prediction system with improved AdaBoost to predict faults...
IPTV is a new multimedia service over the Internet. In order to improve the quality of IPTV service and the user's satisfaction, telecom operators are interested in studying and improving user's Quality of Experience (QoE). In this paper, we study the relationship between the viewing records from IPTV set-top box and the user's QoE based on IPTV service. Firstly, data processing is performed. After...
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.