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...
Changes of network state are a common source of instability in networks. An update event typically involves multiple flows that compete for network resources at the cost of rescheduling and migrating some existing flows. Previous network updating schemes tackle such flows independently, ratherthanas the entity of an update event. They only optimize the flow-level metrics for the flows involved in...
Recommendation systems usually try to “guess” a user's preferences from the system's view. We study another side of recommendation: active opinion-formation from the perspective of the user. In real life, a user's opinion evolves with time and refines when new evidence occurs. Then, how does an online user form his/her own opinion actively in large social networks? The problem has three challenges:...
Wireless devices such as sensors have increasingly more processing, storage, and networking capabilities, making wireless sensor networks (WSNs) get lots of attentions in recent years. In addition, the cost of sensors is constantly decreasing making it possible to use large quantities of these sensors in a wide variety of important applications in environmental, military, commercial, health care,...
The vehicle-to-vehicle (V2V) data transmissions in Vehicular Ad-hoc Networks (VANETs) have been applied in many areas including the Internet of Vehicles, mobile data offloading, and mobile crowdsensing. The V2V-based data delivery that is opposite to the direction of a vehicle is called a backward delivery against the traffic flow, and it is blocked by an existing problem: a traffic hole. Under the...
IoT (Internet of Things) has attracted a lot of attention recently. IoT devices need to report their data or status to base stations at various frequencies. The IoT communications observed by a base station normally exhibit the following characteristics: (1) massively connected, (2) lightly loaded per packet, and (3) periodical or at least mostly predictable. The current design principals of communication...
Modern cloud computing systems have been using multiple processing units on servers to increase their processing capability. Recently, applications with multiple parallelization options have been witnessed, and serve as a promising model for efficiently utilizing the processing capacity of the system. In this paper, we consider utility-based scheduling for periodic multisegment tasks with multiple...
Binary matching in bipartite graphs and its extensions have been well studied over the decades. A stable matching (or marriage) seeks to establish a stable binary pairing of two genders, where each member in a gender has a preference list for the other gender. In addition, all members are paired (also called perfect matching), with one selection made from each gender. Gale and Shapley showed that...
Placing appropriate numbers of PMUs is critical to collect phase angle data for best identifying multiple line outages in wide-area transmission system, because of high deployment costs. This work focuses on exploring the global optimal strategy of PMU deployment for maximizing the average identification capability of multiple line outages. Inspired by Kullback-Leibler (KL) distance, this paper proposes...
In this paper, an opportunistic multi-copy two-hop routing algorithm is proposed for mobile social networks (MSNs) to minimize the expected data delivery delay, using local information. For each source-destination pair, the source dynamically maintains a forwarding set consisting of relay nodes. The forwarding set selection is based on the number of remaining message copies, as well as the number...
The goal of a trust-based recommendation system is to predict unknown ratings based on the ratings expressed by trusted friends. However, most of the existing work only considers the ratings at the current time slot. In real life, a user receives the influence of different opinions sequentially; accordingly, his opinion evolves over time. We propose a novel rating prediction scheme, FluidRating, which...
As tenants take networked virtual machines (VMs) as their requirements, effective placement of VMs is needed to reduce the network cost in cloud data centers. The cost is one of the major concerns for the cloud providers. In addition to the cost caused by network traffics (N-cost), the cost caused by the utilization of physical machines (PM-cost) is also non-negligible. In this paper, we focus on...
Cloud computing is an emerging technology that greatly shapes our lives, where users run jobs on virtual machines (VMs) on physical machines (PMs) provided by a cloud provider, saving the investment in upfront infrastructures. Due to the heterogeneity of various jobs, different VMs on the same PM can have different job completion times. Meanwhile, the PMs are also heterogeneous. Therefore, different...
With the increasing popularity of cloud computing, the cloud datacenter suffers from both limited resources and the variation of users' requests. One important feature of cloud computing is on-demand scaling, enabling the fluctuation of one user's resource demand. However, amongst previous work concerning the virtual machine (VM) placement in datacenters, satisfying the VMs' requested resources of...
Salient region detection is of great significance in computer vision such as object recognition, image segmentation and image retrieval. However, low-level saliency has certain limitations due to lack of object level information. In this paper, we propose a saliency detection method based on Gestalt principles in which we introduce mid-level Gestalt concepts for low-level saliency. We propose an algorithm...
In this paper, a digital pre-distortion platform is designed for linearization of wideband power amplifier with nonlinearity and memory effect. The proposed platform consists of digital signal processing (DSP), field-programmable gate array (FPGA), analog to digital converter (ADC) and digital to analog converter (DAC) which are all operating under a high speed of 400MHz. The platform covers a frequency...
The paper has illustrated the present situation of the soccer, and has analysed the characteristics of PID control algorithm. This paper has applied the HSIC theory and methods, and has improved the nonlinear PID controller. This paper has built the new time-slice concept for Microsoft's robot soccer platform, and has realized the optimal control process of turn-corner and to-point function for the...
The paper proposes a novel schema — MARDO for dynamic composite web services resources QoS optimizing using cooperative agents. The paper first introduces the QoS model of web service resources and its mathematical definitions. Then provides MARDO to monitor and optimize the runtime status of composite web services. It parses the structure and the QoS requirement of the composite service workflow...
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.