Visual monitoring supported by the Internet of Things (IoT) increasingly relies on analyzing a mass image data with human–machine interactive mechanisms. However, maintaining efficiency such system in complex environments energy or bandwidth constraints poses challenges. While both human perception and machine analysis performance should be satisfied, transmitting extra information to satisfy avoided for efficient resource utilization. To this end, we propose interaction-oriented coding...

Assessing the impact of photovoltaic power plants on carbon sequestration by regional vegetation is crucial for scientific planning clean energy initiatives. However, due to extensive distribution and complex environments surrounding stations, it significant challenges that quantifying their in Guizhou Province using local field monitoring data, This study focuses its examining changes from 2010 2022. By integrating remote sensing interpretation data related installations, this research...

Image segmentation is an important part of ore particle size detection, and the quality image directly affects accuracy reliability detection. Due to poor low efficiency in developing a fast accurate algorithm for segmenting images remains global challenge. However, closely related calculating density, improving beneficiation efficiency, evaluating crushing effectiveness. In this paper, novel proposed, combining K-means with hybridized IGK-means. Firstly, IGWO_SOA, by introducing nonlinear...

Abstract As urbanization continues to accelerate, there is a growing need for the analysis of urban spatial perception attributes and scene elements. In response, research proposed multi-scale network-based model extracting elements an attention-enhanced segmentation analyzing structures. The feature extraction incorporated Siamese convolutional neural networks block attention achieve extraction. structure combined dynamic module with encoder-decoder architecture enhance accuracy element...

Secret key generation by extracting the shared randomness in a wireless fading channel is promising way to ensure communication security. Previous studies only consider static networks, but real-world establishments are usually dynamic. In this paper, for first time, we investigate pairwise dynamic networks with center node and random arrival users (e.g., roadside units (RSUs) vehicles). We establish model these kinds of networks. propose method based on discrete Markov chain calculate...

Due to the broadcast nature, wireless transmissions can be overheard by any receiver within transmission range. To prevent eavesdropping in a multiple-input single-output (MISO) system, physical layer security scheme called secure unitary coded spatial modulation (UC-SM) is proposed this paper. The UC-SM achieve second-order transmit diversity using single radio frequency (RF) chain. Artificial noise (AN) introduced deteriorate performance of eavesdropper while desired node not affected....

This paper reformulates a worst-case sum-rate maximization problem for optimizing robust multi-user multiple-input multiple-output (MU-MIMO) downlink precoding under realistic per-antenna power constraints. We map the fixed number of iterations in developed mean-square-error uplink-downlink duality iterative algorithm into layer-wise trainable network to solve it. In contrast black-box approximation neural networks, this proposed unfolding has higher explanatory due fusing domain knowledge...

In this paper, we investigate the robust secure transmit beamformming design for multiple-input single-output wiretap channels overheard by multiple non-collaborating single-antenna eavesdroppers. Assuming that at transmitter, instantaneous legitimate receiver's channel state information (CSI) is imperfect and only statistical eavesdroppers' CSI known, seek to maximize target secrecy rate R with total power constraint outage probability constraint. The resulting outage-constrained...

A location map is frequently employed in reversible watermarking to distinguish the watermarked pixels. It usually compressed by arithmetic coding before being concealed. The size of influences payload greatly. Proposed a novel principle creating map, which increases compression ratio and achieves higher at high peak signal-to-noise ratio. Experimental results show proposal effective.

In this paper, an adaptive blind watermarking algorithm based on compressed DCT and Watsonpsilas Visual Mode is proposed. A normalized masking, deduced from model according to the principle of maximum possible quantization error, used simplify computation for watermark insertion. Hidden information adaptively embedded masking relationship four-adjacent-blocks. Arnold transformation encrypt signal with a secret key extracted without original image. Experimental results indicate that proposed...

By analyzing various current grid portal designing modules, we propose pluggable based-on-OSGi portal, called BOPGP, to guarantee independent of platforms. BOPGP is designed based on OSGi, encapsulating service into dynamically installed and uninstalled Bundle, which can enlarge modify system functions. To better satisfy the users' requirement on-demand computing, also combine asynchronous synchronous request technologies decrease portal's response time, give some formalized descriptions...

In this letter, we introduce a coordinated multi-cell transmit diversity (TxD) technique which improves the existing space frequency block coding based single-cell TxD schemes by combining them with inter-cell cyclic delay. With proposed symbol-to-subcarrier mapping rule, novel method achieves better gain over and counterparts. This design is easy to implement number of cooperating cells configurable. Moreover, it has same detection complexity as case. Theoretical analysis simulation results...

In this study, the authors present a novel low backhaul load cooperative transmission framework for two‐cell multiple‐input–single‐output systems. framework, neighbouring two base stations (BSs) take turns to transmit data in consecutive slots. each slot, only one BS is active, transmitting preprocessed symbols of both its own serving user and cell, sharing other next transmission. Linear constellation spreading utilised preprocessing which helps system exploit macro‐diversity without...

In this paper, we study the asynchronous cooperative diversity schemes employing amplify-and-forward (AF) protocols over frequency-selective channel. We consider three time-division-multiple-access (TDMA) based cooperation and derive corresponding pairwise error probabilities (PEP). From our analysis, it is seen that of paths from source to relays destination, those with smaller order result in bottleneck for overall system performance. propose a new type distributed space-time trellis code...

The conventional ant colony algorithm is easy to fall into the local optimal in some complex environments, and blindness initial stage of search leads long searching time slow convergence. In order solve these problems, this paper proposes an improved applies it path planning cleaning robot. model environmental map established according grid method. And built obstacle matrix for expansion treatment obstacles, so that robot can avoid collision with obstacles as much possible process movement....

This study focuses on local channel correlation based zero-forcing (ZF) precoding design for boosting weighted ergodic sum-rate (WESR) in the cooperative two-cell multiple-input single-output system. We first present that WESRs of statistical state information (SCSI) aided general eigenvector coordinated beamforming (SCSI-GE) and conventional ZF with erroneous instantaneous (ICSI; eICSI-ZF) saturate to constant values at high SNR due inter-cell interference. Motivated by this, we develop a...

In this paper, we study the robust beamforming for MISO interference channel under probabilistic outage constraints. With imperfect state information at transmitter (CSIT), aim to minimize weighted sum transmit power while certain probabilities are ensured users. First of all, instead conventional signal-to-interference-plus-noise ratio (SINR) criterion, signal-to-leakage-plus-noise (SLNR) metric is considered lower burden CSIT exchange among multiple transmitters and formulate a distributed...

Abstract In the realm of electrical engineering, this study introduces a novel approach for forecasting transformer operational conditions by leveraging BO-CNN-GRU (Bayesian Optimized Convolutional Neural Network Gated Loop Unit). The initial step involves an in-depth analysis key parameters that significantly impact performance transformer. Then, comprehensive weights each characteristic parameter are obtained G1 method, entropy weight and CRITIC state data is obtained. Finally, BO...