Improved Pilot-Aided Channel Estimation for MIMO-OFDM Fading Channels by J. Mar, Chi-Cheng Kuo, M. B. Basnet

“…Based on the adaptive path number selection mechanism, the number of paths can be scalable and adaptively changed with the characteristics of MIMO-OFDM fading channels. …”
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Development of an Intelligent Communication Platform for Remote Practical Work in Education: Integrating AR, VR, and Cloud Technologies by El Gourari Abdelali, Ezzini Mustapha, Raoufi Mustapha, Skouri Mohammed, Achki Samira, Ait Lahcen Yassine, Mouachi Raja

“…Key features include real-time collaboration, personalized learning experiences, and seamless access to virtual labs, all supported by robust cybersecurity measures and scalable infrastructure. The platform integrates with existing learning management systems (LMS) to provide a flexible and secure learning environment. …”
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Cross-Layer Optimization of DVB-T2 System for Mobile Services by Lukasz Kondrad, Vinod Kumar Malamal Vadakital, Imed Bouazizi, Miika Tupala, Moncef Gabbouj

“…We investigate cross-layer optimization techniques with a focus on the transport of scalable video (SVC) streams over DVB-T2 Physical Layer Pipes (PLP). …”
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Fault diagnosis and auto dispatchin of power communication network based on unsupervised clustering and frequent subgraph mining by Jihua WU, Pengyu ZHU, Zichen WU, Bin GU, Tao HONG, Bo GUO, Jing WANG, Jingyu WANG

“…Fault diagnosis is one of the most challenging tasks in power communication.The fault diagnosis based on rules can no longer meet the demand of massive alarms processing.The existing approaches based on the supervised learning need large sets of the labeled data and sufficient time to train models for processing continuous data instead of alarms, which are far behind the feasibility of deployment.As for alarm correlation and fault pattern discovery, a self-learning algorithm based on the density-based clustering and frequent subgraph mining was proposed.A novel approach for automatic fault diagnosis and dispatch were also introduced, which provided the scalable and self-renewing ability and had been deployed to the automatic fault dispatch system.Experiments in the real-world datasets authorized the effectiveness for timely fault discovery and targeted fault dispatch.…”
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AI-based model for securing cognitive IoT devices in advance communication systems by Akshat Gaurav, Varsha Arya, Kwok Tai Chui, Brij B. Gupta

“…This study advances the security mechanisms for IoT devices and offers a scalable and efficient solution to safeguard user privacy and system integrity in sophisticated communication networks.…”
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Reimagining Venom Harvesting: Practical Electrostimulation on <i>Vespa velutina</i> Nest in Nature by Xesús Feás, Daniel J. Cabadas, Carmen Vidal

“…These visuals highlight the practicality and potential of this groundbreaking technique, opening new avenues for sustainable and scalable venom collection.…”
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Synthesis of an Azido-Substituted 8-Membered Ring Laddersiloxane and Its Application in Catalysis by Yujia Liu, Niyaz Yagafarov, Koki Shimamura, Nobuhiro Takeda, Masafumi Unno, Armelle Ouali

“…The starting material, a tetravinyl-substituted 8-8-8 laddersiloxane, was prepared via a straightforward and scalable method. The obtained azido-functionalized ladder compound, fully characterized, constitutes a versatile building block for hybrid materials. …”
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Crystallization regulation for stable blade-coated flexible perovskite solar modules by Hua Zhong, Fei Zhang

“…Effective perovskite crystallization control strategies for flexible substrates with scalable processing techniques have rarely been reported and remain an important challenge. …”
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An mHealth Intervention With Financial Incentives to Promote Smoking Cessation and Physical Activity Among Black Adults: Protocol for a Feasibility Randomized Controlled Trial by Adam Alexander, Michael Businelle, Marshall Cheney, Amy Cohn, Lorna McNeill, Kevin Short, Summer Frank-Pearce, David Bradley, Kimberly Estrada, Iván Flores, Jack Fronheiser, Darla Kendzor

“…Smartphone-based interventions with financial incentives offer a scalable solution to address these health disparities. …”
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Developing and assessing the “MultiLife” intervention: a mobile health-based lifestyle toolkit for cardiometabolic multimorbidity in diabetes and hypertension management – a type 1... by Sanghamitra Pati, Jaideep Menon, Tanveer Rehman, Ritik Agrawal, Jayasingh Kshatri, Subrata Kumar Palo, Chandrashekar Janakiram, Srijeeta Mitra, Aswathy Sreedevi, Tanu Anand

“…Mobile health (mHealth) interventions offer a scalable approach for managing CMM by promoting behaviour change and medication adherence. …”
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Research on Data Gathering Algorithm Based on Fairness in Cognitive Radio Network by Xiaoming Wang, Jiankang Zhang

“…ADDC collects data of a snapshot to the base station in a distributed manner without any time synchronization requirement. The algorithm is scalable and more practical compared with centralized and synchronized algorithms. …”
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Study of key technology for reconfigurable satellite platform supporting network interconnection by Chao WANG, Xiao-dong HAN, Rui WANG, Xi ZHOU, Lin-lu YANG, Ya-ping LIU

“…Reconfigurable satellite platform is a new spacecraft design concept.The application of distributed computing in reconfigurable integrated satellite platform was studied,the standard mechanical interface,electrical interface for the separation or separation between main platform and a variety of payloads to form a new combination and achieve the expansion of platform functions and efficient use was proposed.Including the security control protocol,scalable design,distributed computing and management models and other aspects of a detailed design,the key technologies of reconfigurable integrated satellite platforms supporting network interconnection were studied to meet the existing communications,remote sensing and navigation satellites’ needs.It will be promoted for the spacecraft design to the integrated business and in the orbit reconfiguration direction of continuous development,which will enhance the stability of the orbit operation,survivability and maintainability and provide a reliable technical foundation for the world of integrated network research.…”
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Efficent-cutting packet classification algorithm based on the statistical decision tree by Li-nan CHEN, Yang LIU, Yan MA, Xiao-hong HUANG, Qing-cong ZHAO, Wei WEI

“…Packet classification algorithms based on decision tree are easy to implement and widely employed in high-speed packet classification.The primary objective of constructing a decision tree is minimal storage and searching time complexity.An improved decision-tree algorithm is proposed based on statistics and evaluation on filter sets.HyperEC algorithm is a multiple dimensional packet classification algorithm.The proposed algorithm allows the tradeoff between storage and throughput during constructing decision tree.For it is not sensitive to IP address length,it is suitable for IPv6 packet classification as well as IPv4.The algorithm applies a natural and performance-guided decision-making process.The storage budget is preseted and then the best throughput is achieved.The results show that the HyperEC algorithm outperforms the HiCuts and HyperCuts algorithm,improving the storage and throughput performance and scalable to large filter sets.…”
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Blueprint for All-to-All-Connected Superconducting Spin Qubits by Marta Pita-Vidal, Jaap J. Wesdorp, Christian Kraglund Andersen

“…While recent experiments have successfully coupled two ASQs, how to realize a scalable architecture for extending this coupling to multiple distant qubits remains an open question. …”
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Exploration and practice on integration of ideological, political courses into professional courses of cyberspace security specialty by Guyue LI, Aiqun HU

“…Considering the requirements of cyberspace security talents training, this paper explored the direction and emphases of ideological and political education with the course of “new progress in cyberspace security” as an example.Ideological and political goals, elements and resources were analyzed and a “point-line-plane” scalable practical method was formed.The effectiveness of course ideological was evaluated from multiple dimensions, including the degree of integration, students’ satisfaction and sustainability.The practice results showed that teaching team and students have deeper understanding of the necessity and importance of course ideological.When students are learning these sophisticated technologies, they are also inspired by the spirit of patriotism, dedication and strive to make progress, which strengthens their determination to devote to the national cyberspace security.This course will continue integrating ideological, political courses into professional courses, optimizing the political target and teaching methods.It adapts to the demands of reformation and development in higher education and provides a useful reference for related courses in cyberspace security specialty.…”
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Distributed nearneighbor search algorithm based on real-time traffic information in dynamic road network by Chen YE, Zhen-yu YANG, Jian YU, Qi LONG

“…A novel distributed near neighbor search algorithm that makes use of real-time traffic information is presented.The geographic information are stored in the nearest smart camera using Voronoi partition,and cameras are located in the intersection.The intersection unimpeded degree is modeled and the time which vehicle travel between adjacent intersec-tions is estimated.When a vehicle search for some near neighbors,smart cameras set a delay to broadcast the near neighbor search packet based on the traffic parameters collected by smart camera networks.In this way,the near neighbor search packet can be transmitted according to current road conditions.Thus get the path to near targets quickly and effec-tively.Extensive experiments are londucted on real data sets,and the results show that proposed algorithm is efficient and scalable to large number of concurrent query,significantly outperforming state-of-the-art methods.…”
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Simulating quantum circuits using the multi-scale entanglement renormalization ansatz by A. V. Berezutskii, I. A. Luchnikov, A. K. Fedorov

“…Although many advanced approaches have been proposed and recently used to challenge quantum advantage experiments, novel efficient methods for the approximate simulation of complex quantum systems are still in high demand. Here, we propose a scalable technique for approximate simulations of intermediate-size quantum circuits on the basis of the multi-scale entanglement renormalization ansatz (MERA) and Riemannian optimization. …”
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A Reconfigurable and Biologically Inspired Paradigm for Computation Using Network-On-Chip and Spiking Neural Networks by Jim Harkin, Fearghal Morgan, Liam McDaid, Steve Hall, Brian McGinley, Seamus Cawley

“…This paper highlights and discusses the current challenges of implementing scalable SNNs on reconfigurable FPGAs. The paper proposes a novel field programmable neural network architecture (EMBRACE), incorporating low-power analogue spiking neurons, interconnected using a Network-on-Chip architecture. …”
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Preparation of Graphene Nanoplatelets by Thermal Shock Combined with Ball Milling Methods for Fabricating Flame-Retardant Polymers by Vinh Q. Tran, Hai T. Doan, Nhiem T. Nguyen, Cuong V. Do

“…Graphene nanoplatelets were successfully prepared from graphite powder by simple and scalable thermal shock combined with ball milling methods. …”
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A CNN-Based Microwave Imaging System for Detecting Watermelon Ripeness by Zachary M. Choffin, Lingyan Kong, Yu Gan, Nathan Jeong

“…This novel approach demonstrates the potential of combining microwave imaging with machine learning for non-destructive food quality assessment, offering a scalable and reliable tool for real-time evaluation of fruit ripeness and quality.…”
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