Prior work on anti-collision for Radio Frequency IDentification (RFID) systems usually schedule adjacent readers to exclusively interrogate tags avoiding reader collisions. Although such a pattern can effectively deal with collisions, the lack of readers' collaboration wastes numerous time scheduling process and dramatically degrades throughput identification. Even worse, within overlapped interrogation regions (termed as contentious tags), even if number is very small, introduce significant...

This letter deals with the identification problem of a class linear-in-parameters output error moving average systems. The difficulty is that there exist some unknown variables in information vector. By means auxiliary model idea, an based recursive least squares algorithm developed for identifying parameters proposed system. simulation results confirm conclusion.

Beam hopping (BH) is the key technology to improve system throughput and decrease transmission delay in multibeam satellite systems. The objective of this study find a policy maximise expected long‐term resource utilisation. BH illumination plan (BHIP) optimisation problem aimed at minimising formulated modelled as partially observable Markov decision process. To tackle issue unknown dynamics prohibitive computation, an artificial intelligence method named deep reinforcement learning (DRL)...

An electrical stimulus is convenient in locally controlling the deformation/recovery of electrically responsive structures and therefore considered as one most promising methods four-dimensional (4D) printing. However, it extremely difficult to homogeneously blend large amounts conductive particles shape memory composites (SMCs) with sufficient responsivity for UV-curing-based 4D Herein, we develop an innovative printing strategy architectures a sandwich structure consisting silver nanowire...

Lossy image compression can reduce the bandwidth required for transmission in a network and storage space of device, which is great value improving efficiency. With rapid development deep learning theory, neural networks have achieved success processing. In this paper, inspired by diverse extent attention human eyes to each region image, we propose an framework based on semantic analysis, creatively combines application field classification compression. We first use convolutional (CNN)...

Essential characteristics for watermark registration and detection without data modification can be used in an audio zero-watermarking scheme. In this paper, a novel scheme based on discrete wavelet transform (DWT) cosine (DCT) is presented. The registered by comparing the mean absolute values of adjacent frame coefficients after DWT DCT. Simulation results show that proposed strongly robust to common attacks such as AWGN, downsampling, low-pass filtering, requantization, MP3 compression. A...

Low Earth Orbit (LEO) satellite networks can provide complete connectivity and worldwide data transmission capability for the internet of things. However, arbitrary flow arrival uneven traffic load among areas bring about unbalanced distribution over LEO constellation. Therefore, routing strategy in should have ability to adjust paths based on changes network status adaptively. In this paper, we propose a Two-Hops State-Aware Routing Strategy Based Deep Reinforcement Learning (DRL-THSA)...

The frequency diverse array multiple‐input multiple‐output (FDA‐MIMO) radar provides range estimation capability by exploiting a small offset across the transmit sensors, which has been utilised in numerous applications. However, performance is basically limited geometry and signal bandwidth. In this study, authors propose new FDA‐MIMO framework, i.e. unfolded coprime with ‘unfolded’ offsets (UCA‐UCFO) for joint angle without ambiguity. aperture bandwidth are obviously expanded employing UCA...

With the development of wireless sensor network technology, routing strategy has important significance in Internet Things. An efficient is one fundamental technologies to ensure correct and fast transmission networks. In this paper, we study how combine deep learning technology with propose an cope topology changes. First, use recurrent neural combined deterministic policy gradient method predict traffic distribution. Second, multi-hop node state considered as input a double Q network....

Spectrum sharing of wireless vehicle-to-vehicle (V2V) communication and automotive radar in intelligent transportation systems (ITS) can provide higher spectrum utilization efficiency. However, between two might bring severe interference, which needs to be well solved. To address the communication-radar (CRSS) inter-system interference issue, we first model estimation as an off-grid compressed sensing problem. Then, propose cancellation algorithm based on atomic norm (AN) minimization...

This article presents a new electromagnetic linear actuator applied in the electromagnetic-driven valve train. To clarify actuator's temperature rise and heat distribution, transfer model was established by analyzing complex exchange inside theoretically. A two-way coupling finite of built up, simulation calculation carried out based on Ansoft Maxwell ANSYS Workbench. In order to verify accuracy theoretical analysis model, tested. Comparing data test simulation, results show that error is...

In this article, we explore the efficacy of dynamic effective capacity modulation (i.e., using virtualization techniques to offer lower resource than that advertised by cloud provider) as a control knob for provider’s profit maximization complementing more well-studied approach pricing. particular, our focus is on emerging ecosystems wherein expect tenants modify their demands strategically in response such and prices. Toward this, consider simple model provider offers single type virtual...

In this paper, we model the data dissemination in online social networks (OSNs) and study scaling laws of traffic load. We propose a three-layered system to formulate sessions for applications OSNs. The layered consists physical network layer, relationship application session layer. By analyzing mutual relevances among these three layers, investigate geographical distribution feature Based on this, derive load OSNs under realistic assumption that every source sustains generating rate...

Urban traffic condition usually serves as a basic information for some intelligent urban applications, e.g., transportation system. But the acquisition of such is often costly due to dependency on equipments cameras and loop detectors. Crowdsensing can be utilized gather vehicle-sensed data estimation. This way collection economic. However, it has problems uploading efficiency usage effectiveness. To deal with these problems, in this paper, we take into account topology road net. We divide...

We study the multicast capacity for hybrid wireless networks consisting of ordinary nodes and base stations under Gaussian Channel model, which generalizes both unicast broadcast networks. simply consider extended network, where are placed in square region An with side-length sqrt n according to a Poisson point process unit intensity. In addition, $m$ additional (BSs) serving as relay gateway regularly they connected by high-bandwidth wired network. Three broad categories strategies proposed...

In this paper, we study the capacity of cognitive networks. We focus on network model consisting two overlapping ad hoc networks, called primary (PaN) and secondary (SaN), respectively. PaN SaN operate same space spectrum. For (or resp.) assume that nodes are placed according to a Poisson point process intensity n m over unit square region. randomly choose <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">s</sub> as sources multicast sessions in...

In intelligent vehicular communication networks, a hybrid architecture is used which combines both centralized and ad hoc transmission schemes. order to maximize the end-to-end delivery ratio while reducing network overhead, one important problem efficiently design data forwarding algorithm guarantee quality of transmission. this paper, by considering traveling information space-crossing community structure, two metrics, “space-time approachability” “social approachability,” are defined...

In recent years, the ultra-dense low Earth orbit (LEO) satellite communication (UD-LSC) networks such as SpaceX and OneWeb are under rapid development to provide worldwide broadband services. However, deployment of thousands LEO satellites into space leads shortage orbital frequency resources. Spectrum sharing between geostationary (GEO) systems seems be a promising way alleviate problem restricted spectrum this paper, joint cooperative beam association power allocation scheme for UD-LSC...

The iron loss of inner yoke accounts for the majority an electromagnetic linear actuator (ELA). Therefore, reduction is great importance to whole ELA. This study investigates formation mechanism and distribution law ELA proposes a scheme by arranging groove structures in yoke. direction arranged was determined based on loss. Through simulation calculation finite‐element model field, authors investigated effects number grooves as well width performance optimal grooving comprehensive analysis...

The frequency reuse of Geostationary Orbit (GEO) satellite systems and Low Earth (LEO) within the same spectrum to enhance efficiency in Ka band has attracted great interests communication research lately. However, coexistence interference will occur when different share spectrum. Therefore, it is crucial analyze study mitigation techniques. In this paper, uplink between GEO system LEO been analyzed, including worst-case effects an exclusion angle on mitigating interference. Adopting OneWeb...

Shrinking microprocessor feature size will increase the soft-error rates to unacceptable levels in near future. While reliable systems typically employ hardware techniques address soft-errors, software can provide a less expensive and more flexible alternative. This paper presents control-flow error classification proposes new based detection techniques. The are better than previous ones sense that they detect errors all branch-error categories. We also compare performance of our with using...