Mobile cloud computing is applied in multiple industries to obtain cloud-based services by leveraging mobile technologies. With the development of wireless networks, defending threats from communications have been playing a remarkable role Web security domain. Intrusion detection system IDS an efficient approach for protecting Fifth Generation 5G context. In this paper, we identify and summarize main techniques being implemented IDSs with analysis challenges each technique. Addressing issue,...

Accelerated growth of urban population in the world put incremental stresses on metropolitan cities. Smart city centric strategies are expected to comprise solutions sustainable environment and life. Acting as an indispensable role smart city, IoT (Internet Things) connects executive ability physical intelligence computational world, aiming enlarge capabilities things real strengthen practicality functions cyber world. One important application areas cities is food industry. Municipality...

Generally, facial expressions could be classified into two categories: static and micro-expressions. There are many promising applications of expression recognition, such as pain detection, lie babysitting. Traditional convolutional neural network (CNN)-based methods suffer from critical problems when they adopted to recognize First, usually dependent on very deep architectures that overfit small datasets. However, reliable relatively difficult collect relevant datasets small. Second, for...

Chip multiprocessor (CMP) techniques have been implemented in embedded systems due to tremendous computation requirements. Three-dimension (3D) CMP architecture has studied recently for integrating more functionalities and providing higher performance. The high temperature on chip is a critical issue the 3D architecture. In this article, we propose an online thermal prediction model chips. Using model, novel task scheduling algorithms based rotation reduce peak chip. We consider data...

Blockchain naturally fits multiple industry sectors due its characteristics of decentralization, enhanced security, tamper-proof, improved traceability and transparency. However, there is a significant concern blockchain’s performance, since blockchain trades off performance for completely distributed feature, which enhances security. In this paper, we investigate the state-of-the-art progress blockchain, mainly from security perspective. We extracted 42 primary papers major scientific...

In the background of high-power propulsion application on ships and existing uncertain electromagnetic vibration features multiphase fractional-slot concentrated-winding permanent magnet (PM) motor, design analysis methods six-phase PM motor are presented. Four different pole slot combination schemes sifted out, air-gap magnetic field force these four motors studied in contrast. On basis above, a 20-kW prototype with 48 slots 44 poles is designed manufactured, its performances tested through...

In this paper, we present the VideoLLaMA 2, a set of Video Large Language Models (Video-LLMs) designed to enhance spatial-temporal modeling and audio understanding in video audio-oriented tasks. Building upon its predecessor, 2 incorporates tailor-made Spatial-Temporal Convolution (STC) connector, which effectively captures intricate spatial temporal dynamics data. Additionally, integrate an Audio Branch into model through joint training, thereby enriching multimodal capabilities by...

The integration of High-Bandwidth Memory (HBM) into Field-Programmable Gate Arrays (FPGAs) has significantly enhanced data processing capabilities. However, the segmentation HBM 32 pseudo-channels, each managed by a performance-limited crossbar, imposes significant bottleneck on throughput. To overcome this challenge, we propose transparent access framework that integrates non-blocking network-on-chip (NoC) module and fine-grained burst control transmission, enabling efficient multi-channel...

Automatic white balance (AWB) is an important module for cameras and classification of the color-distorted image critical to realize intelligent AWB. Though accurate classifiers usually can be achieved via deep neural network models, they cannot fit into embedded hardware due their complexity. To increase accuracy decrease latency, a lightweight convolutional (CNN) with histogram layer AWB (AWBHNet) constructed, which consists one layer, regular three depth separable layers, four pooling two...

Background/Objectives: Despite decades of extensive vaccinations against avian infectious bronchitis virus (IBV) infection, outbreaks caused by constantly emerging variants due to genome recombination between different viral strains, including vaccine occur annually worldwide. The development novel vaccines with favorable safety and effectiveness is required but hindered a limited understanding vaccination IBV. Methods: Here, we performed comprehensive analysis the in vivo dynamics...

This paper proposes a low-power 10-bit 20 MS/s pipelined analog-to-digital converter (ADC) designed for the burgeoning needs of low-data-rate communication systems, particularly within Internet Things (IoT) domain. To reduce power usage, multiple power-saving techniques are combined, such as sample-and-hold amplifier-less (SHA-less) architecture, capacitor scaling, and dynamic comparators. In addition, this presents novel operational amplifier (op-amp) with gain boosting, featuring...

Gamma-ray spectroscopy is essential in nuclear science, enabling the identification of radioactive materials through energy spectrum analysis. However, high count rates lead to pile-up effects, resulting spectral distortions that hinder accurate isotope and activity estimation. This phenomenon highlights need for automated precise approaches correction. We propose a novel deep learning (DL) framework plugging rate information signals with 2D attention U-Net recovery. The input model an...

The real-time temperature prediction of chips is a critical issue in the semiconductor field. As chip designs evolve towards 3D and high integration, traditional analytical methods such as finite element software HotSpot face bottlenecks difficulty modeling, costly computation, slow inference speeds when dealing with large-scale, multi-hotspot thermal analysis. To address these challenges, this paper proposes model for multi-core based on Graph Convolutional Neural Networks (GCNs) that...

As a major strategy to ensure the safety of IT infrastructure, anomaly detection plays more important role in cloud computing platform which hosts entire applications and data. On top classic Markov chain model, we proposed this paper feasible multi-order based framework for detection. In approach, both high-order multivariate time series are adopted compose scheme described algorithms along with training procedure form statistical learning framework. To curb space complexity, designed...

With the emergence of cyber-physical systems (CPS), we are now at brink next computing revolution. The Smart Grid (SG) built on top IoT (Internet Things) is one foundations this CPS revolution, which involves a large number smart objects connected by networks. volume time series SG equipment tremendous and raw very likely to contain missing values because undependable network transferring. problem storing thereby providing solid support for precise analytics becomes tricky. In article,...