The smart vehicles construct Internet of Vehicle (IoV), which can execute various intelligent services. Although the computation capability a vehicle is limited, multi-type edge computing nodes provide heterogeneous resources for vehicular When offloading complex service to node, decision its destination should be considered according numerous factors. This paper mostly formulate as resource scheduling problem with single or multiple objective function and constraints, where some customized...

Salient object detection in optical remote sensing images (RSI-SOD) has recently become a key area of research, driven by the unique challenges posed variability imagery. Traditional approaches, largely based on Convolutional Neural Networks (CNNs), are limited handling diverse scenarios due to their static network construction and reliance local feature extraction. To tackle these limitations, we present Adaptive Semantic Network (ASNet), novel framework specifically designed for RSI-SOD....

Intelligent transportation system (ITS) collects numerous data for analysis of the system. The can be used providing services travellers and traffic controllers in ITS optimizing it, purpose making more efficient safer. Due to wide flexible employment video cameras visual surveillance (VSS), mature edge-cloud resource scheduling transmission analysis, fast development deep learning, computer vision (CV) methods have been employed visual-based successfully. In this paper, we discuss CV review...

The sketch-based image retrieval (SBIR) finds the natural images according to features and rules defined by human beings. results are generally similar in contour; however, their complete semantic information of is missing. From user's point view, same hand-drawn may represent many different things, due "one-to-many" category mapping relationship between image, that inherent ambiguity image. In addition, drawing has characteristics, so cannot fully match with his intent. For above-mentioned...

Salient object detection in optical remote sensing images (RSI-SOD) is critical sensing, yet it faces challenges such as dependency on intensive pixel-level annotations and limited research low-cost, weakly supervised methods. These are compounded by difficulties handling complex backgrounds varying salient features with existing CNN-based We introduce the Global-Local Semantic Interaction Network (GLSIN), a high-performance, cost-effective RSI-SOD approach based scribble supervision. GLSIN...

The mobile cloud computing (MCC) that takes wireless access network as transmission medium and uses devices client becomes the newest evolution trends of computing. When offloading complicated multi-task application to MCC environment, each task executes individually in terms its own computation, storage bandwidth requirement. Due user's mobility, provided resources contain different performance metrics may affect destination choice. Nevertheless, these heterogeneous lack integrated...

A new hybrid ARQ (HARQ) scheme is introduced for irregular low-density parity-check (LDPC) codes. It based on degree distributions and so called distribution HARQ (DDB-HARQ). In DDB-HARQ, the receiver selectively retransmits a certain percentage of nodes with large degrees each time. According to simulation results, DDB-HARQ brings significant gain LDPC coded system, since in frame contribute more performance.

Along with the increasing capability of consumer electronic devices, it becomes new trend that home cloud computing takes household devices as a sharing resource pool, which can bring great convenience to consumers. However, how find most suitable resources or services in is challenge for When offloading complicated application cloud, each task be executed individually its own computation, storage and bandwidth requirements. The heterogeneous contain different performance metrics affect...

Abstract The aim of this paper is to study the dependence structure between real estate and banking sectors in China. Various time‐varying symmetric asymmetric copula functions elliptical Archimedean families are used model underlying structure. Furthermore, it analyses risk spillover effects these two by quantifying three measures, namely, value at (VaR), conditional (CoVaR) delta (ΔCoVaR). Over period from January 2005 March 2019, empirical results show that there exists evidence...

The mobile cloud computing (MCC) that combines and concept takes wireless access network as the transmission medium uses devices client. When offloading complicated multitask application to MCC environment, each task executes individually in terms of its own computation, storage, bandwidth requirement. Due user’s mobility, provided resources contain different performance metrics may affect destination choice. Nevertheless, these heterogeneous lack integrated management can hardly cooperate...

In contemporary times, the traditional computer wireless network teaching system is faced with difficulties such as backwardness and limitations, lack of personalized recommendation classroom interaction. order to improve shortcomings system, so that it can meet needs today's society, this paper designed a new based on collaborative filtering optimization algorithm, is, added module, module mainly uses main role through analysis students' behavior preferences other information. Analyze data,...

Abstract As a developing country, China's insurance market is already the second largest in world, and its development inseparable from comprehensive of companies' business. At present, companies are engaged both traditional nontraditional businesses. Thus, to avoid extreme financial events, requires more risk management. Hence, examining systemic China an interesting research topic. This paper studies comovement between all listed by modeling average dependence structure using different...

Mobile devices are becoming the primary platforms for many users who always roam around when accessing cloud computing services. From this, is integrated into mobile environment by introducing a new paradigm, computing. In context of computing, battery life device limited, and it important to balance mobility performance energy consumption. Fortunately, services provide both opportunities challenges management. Taking activities consideration, we propose service-aware location update...

In view of the problem CO frequency interference in heterogeneous networks cognitive radio, this paper presents a method processing by macro cellular and micro cells. A beam forming algorithm for maximizing network user is presented, which based on orthogonality multiple antennas different geographical locations.The simulation results show that proposed can effectively improve transmission speed between sub users, so as to utilization frequency.

Abstract The long history of China is composed different imperial dynasties. However, all dynasties only survive limited time and follow the identical development process, which a dynamical process from establishment to extinction. Based on historical fact about Chinese dynasties, this paper proposes continuous-time Markov chain model combined with Coxian phase-type distributions investigate survival for Our includes four states, correspond typical social political states traditional Three...