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Computational strategy of dynamic nanorod networks for dielectric elastomer nanocomposites towards the balance of high permittivity, low modulus, and high breakdown strength

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Polymer 2025年

作者： Han Qin Yancong Feng Tao Liu Baofeng Gao Ying Guo Jingshan Pan Ming Tian Key Laboratory of Computing Power Network and Information Security Ministry of Education Shandong Computer Science Center (National Supercomputer Center in Jinan) Qilu University of Technology (Shandong Academy of Sciences) Jinan 250000 China Shandong Provincial Key Laboratory of Computing Power Internet and Service Computing Shandong Fundamental Research Center for Computer Science Jinan 250000 China Guangdong Provincial Key Laboratory of Optical Information Materials and Technology & Institute of Electronic Paper Displays South China Academy of Advanced Optoelectronics South China Normal University Guangzhou 510006 China State Key Laboratory of Organic-Inorganic Composites College of Materials Science and Engineering Beijing University of Chemical Technology Beijing 100029 China

Dielectric elastomers exhibit immense potential in emerging fields such as soft robotics, flexible sensors, wearable electronic devices, and energy harvesting, but their widespread application is limited by the intricate paradoxes among the high permittivity, low modulus, and high breakdown strength. By regulating the aspect ratio, concentration, interaction strength, and crosslinking density, a dynamic nanorod network structure is constructed to harmonize comprehensive properties. The construction of the nanorod network significantly enhances permittivity due to the coupling effect of nanorods. Meanwhile, the low percolation threshold avoids high modulus, enabling large electro-induced strain. Under high strain, nanorod orientation shifts, leading to the destruction of the network, thereby avoiding the electric field concentration and achieving the enhancement of electromechanical stability. After the external field is withdrawn, entropic elasticity drives the recovery of elastomers, while the network reconstructs to restore the high dielectric constant. This strategy offers new insights into balancing high permittivity, low modulus, and high breakdown strength in practical applications.

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SAMamba: Adaptive state space modeling with hierarchical vision for infrared small target detection

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Information Fusion 2025年 124卷

作者： Wenhao Xu Shuchen Zheng Changwei Wang Zherui Zhang Chuan Ren Rongtao Xu Shibiao Xu School of Artificial Intelligence Beijing University of Posts and Telecommunications Beijing 100876 China Key Laboratory of Computing Power Network and Information Security Ministry of Education Shandong Computer Science Center (National Supercomputer Center in Jinan) Qilu University of Technology (Shandong Academy of Sciences) Jinan 250014 China The State Key Laboratory of Multimodal Artificial Intelligence Systems Institute of Automation Chinese Academy of Sciences Beijing 100190 China School of Artificial Intelligence University of Chinese Academy of Sciences Beijing 100190 China Shandong Provincial Key Laboratory of Computing Power Internet and Service Computing Shandong Fundamental Research Center for Computer Science Jinan 250014 China School of Software Microelectronics Peking University Beijing 100084 China

Infrared small target detection (ISTD) is vital for long-range surveillance systems, particularly in military defense, maritime monitoring, and early warning applications. Despite its strategic importance, ISTD remains challenging due to two fundamental limitations: targets typically occupy less than 0.15% of the image area and exhibit low distinguishability from complex backgrounds. While recent advances in deep learning have shown promise, existing methods struggle with information loss during downsampling and inefficient modeling of global context. This paper presents SAMamba, a novel framework that synergistically integrates SAM2’s hierarchical feature learning with Mamba’s selective sequence modeling to address these challenges. Our key innovations include: (1) Feature Selection Adapter (FS-Adapter) that enables efficient domain adaptation from natural to infrared imagery by employing a dual-stage selection mechanism, which includes token-level selection via a learnable task embedding and channel-wise refinement through adaptive transformations; (2) Cross-Channel State-Space Interaction (CSI) module that achieves efficient global context modeling through selective state space modeling with linear complexity; and (3) Detail-Preserving Contextual Fusion (DPCF) module that adaptively combines multi-scale features through learnable fusion strategies, utilizing a gating mechanism to balance contributions from high-resolution and low-resolution features. SAMamba effectively addresses the core challenges of ISTD by bridging the domain gap, maintaining fine-grained target details, and efficiently modeling long-range dependencies. Extensive experiments on NUAA-SIRST, IRSTD-1k and NUDT-SIRST datasets demonstrate that SAMamba significantly outperforms state-of-the-art methods, particularly in challenging scenarios with heterogeneous backgrounds and varying target scales. Code is available at https://***/zhengshuchen/SAMamba .

关键词： Feature fusion Infrared small object detection Segment Anything Model Vision Mamba

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Hybrid remote display protocol for mobile thin client computing

Hybrid remote display protocol for mobile thin client comput...

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IEEE International Conference on Computer Science and Automation Engineering (CSAE)

作者： Wei Tang Biao Song Myeong Seob Kim Nguyen Tien Dung Eui Nam Huh Internet Computing and Network Security Laboratory Department of Computer Engineering Kyung Hee University Suwon South Korea

In recent years, the rapid development of mobile network and device promotes the investigation of mobile thin client technology. Based on the surveys in this field, we found that the codec used in the thin client protocol should be able to provide efficient data compression (to reduce network bandwidth consumption), and operate with low computing complexity (to decrease response latency and thin client power consumption). In this paper, we proposed a hybrid remote display protocol for mobile thin client, together with the main results of performance study.

关键词： Protocols Image coding Mobile communication Graphics processing unit Servers Streaming media Transform coding

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Towards the Development of Personal Cloud computing for Mobile Thin-Clients

Towards the Development of Personal Cloud Computing for Mobi...

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International Conference on Information Science and Applications (ICISA)

作者： Yuan Tian Biao Song Eui-Nam Huh Department of Computer Engineering Internet Computing and Network Security Laboratory Kyung Hee University South Korea

ISBN: (纸本)9781424492220

The phenomenon of cloud computing has been driven largely these days. Personal Cloud, as the cloud computing for personal usage, has come to the forefront. Compare with traditional operating system, personal cloud shifts individual computing "from being device-centric to information-centric", which create a bridge between operating system-based computing and the more service-oriented approach to IT. Also, the mobile thin-client has brought mobility to cloud computing. In this paper, we provide a reference base for the development of methodologies tailored for personal cloud computing. Besides, we also provide a security architecture for personal cloud based on the security requirement analysis.

关键词： security Cloud computing Privacy Servers Software Computer architecture

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A Novel Cloud Market Infrastructure for Trading Service

A Novel Cloud Market Infrastructure for Trading Service

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International Conference on Computational Science and its Applications (ICCSA)

作者： Biao Song Mohammad Mehedi Hassan Eui-Nam Huh Internet Computing and Network Security Laboratory Department of Computer Engineering Kyung Hee University South Korea

In this paper, we present a novel combinatorial auction (CA) based trading infrastructure to enable the supply and demand of Cloud services from different Cloud providers (CP). We propose a new auction policy that considers the relationship among CPs (mutual business relationship) in bidding mechanism. In our new auction-based market model, we allow the group of service providers to publish their bids collaboratively as a single bid to the auctioneer. It gives service providers a chance to autonomously find partners and make groups. Then they can use group strategy to increase their competitive power and compete for winning the bid (s). This will reduce conflicts, as well as collaboration cost and negotiation time, among participants as compare to existing CA-based market model. We implement our proposed market model of trading service in a simulated environment and study its economic efficiency with existing model.

关键词： Cloud computing Collaboration Resource management Computer networks Power generation economics Power system modeling Environmental economics Supply and demand Costs Application software

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A Hybrid Algorithm for Partner Selection in Market Oriented Cloud computing

A Hybrid Algorithm for Partner Selection in Market Oriented ...

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International Conference on Management and Service Science, MASS

作者： Biao Song M. M. Hassan Eui-Nam Huh Chang-Woo Yoon Hyun-Woo Lee Internet Computing and Network Security Laboratory Department of Computer Engineering Kyung Hee University South Korea Electronics and Telecommunications Research Institute South Korea

In our previous paper, we proposed a novel combinatorial auction (CA) based cloud market model for trading services that allows cloud providers (CPs) to make groups and submit their bids collaboratively as a single bid for winning the auction. But to find a good combination of CP partners and make groups is a NP-hard problem. Since each provider only has limited information about other providers, past collaborative task information (i.e. no. of times collaboratively win the auctions, failed to make groups, etc.) needs to be analyzed and utilized for partner selection. We call it multi-task and multi-objective optimization problem. To solve this problem, in this paper, we propose a hybrid algorithm that utilizes artificial neural network (ANN) for gathering and analyzing information about previous tasks and then uses multi-objective genetic algorithm (MOGA) to solve the partner selection problem. Simulation results show that our proposed algorithm is effective.

关键词： Cloud computing Artificial neural networks Collaboration Computer networks Information analysis Electronic mail Algorithm design and analysis Genetic algorithms Neural networks IP networks

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Propagation Service Decision Method for Web Services Composition in u-Lifecare System

Propagation Service Decision Method for Web Services Composi...

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International Conference on Computational Science and its Applications (ICCSA)

作者： Ki-moon Choi Mohammad Mehedi Hassan Eui-Nam Huh Internet Computing and Network Security Laboratory Department of Computer Engineering Kyung Hee University Yongin si Gyeonggi South Korea

In Web environment, multiple Web service(WS)s may provide similar functionalities with different nonfunctional property values (e.g. different QoS metrics). Quality of service (QoS) metrics of WSs are critical factors to select appropriate WSs execution path in WSs composition as it requires expensive computation cost to find out appropriate execution path in Web environment, i.e O(MN) assuming that there will be M candidate services and N WSs in composition model. Thus, it is very important to decide which service execution path will be more suitable to users in execution time. Existing methods find execution path in design time which is inefficient as the QoS metrics of WSs are changed frequently in real time. Thus, in this paper, we propose a dynamic service execution path selection method called PSDM (propagation service decision method) in execution time for web service composition in u-Lifecare system. The proposed scheme is analyzed and experiment results are shown in terms of frequency of service execution path.

关键词： Web services Quality of service Computer networks Availability Computational efficiency Frequency Throughput Costs Application software IP networks

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An Efficient Grid Based Metadata Processing And Sharing Architecture For GEOSS

An Efficient Grid Based Metadata Processing And Sharing Arch...

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International Conference on Advanced Communication Technology (ICACT)

作者： Mohammad Mehedi Hassan Eui-Nam Huh Internet Computing and Network Security Laboratory Department of Computer Engineering Kyung Hee University Yongin si Gyeonggi South Korea

The global earth observation system of systems (GEOSS) is being developed as a framework for existing and future Earth observation systems which will be comprehensive, coordinated and sustainable. Many earth observation (EO) resources have been created, and are available to the global community, in order to support scientists, decision makers, and the general populace. To realize a successful GEOSS, the key is to provide mechanisms that enable EO data and geospatial data from those resources to be processed, shared and coordinated. In this paper, we propose an architecture for GEOSS which aims at providing a metadata extraction and management system for EO and geospatial data and sharing these data transparently, efficiently and securely in a grid environment.

关键词： Global Earth Observation System of Systems Computer networks Grid computing Data mining Computer architecture Environmental management Information technology Power system management Distributed computing IP networks

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A Grid-enabled framework of expertise search engine using Web-based online communities

A Grid-enabled framework of expertise search engine using We...

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International Conference on Computer and Information Technology (ICCIT)

作者： Mohammad Mehedi Hassan Pil-Woo Lee Eui-Nam Huh Department of Computer Engineering Internet Computing and Network Security Laboratory Kyung Hee University South Korea KISTI Daejeon South Korea

Existing search engines like Google, Yahoo!, Live etc. are not yet capable to answer queries that require deep semantic understanding of the query or the document. Instead, it is preferable to find and ask someone who has related expertise or experience on a topic and thus Web-based online communities have become important places for people to seek and share expertise. We need to gather the data that describes these online communities. But extracting, aggregating and analyzing data from these communities for finding experts on a single framework is a challenging task. Also there is no universal standard data structure for the outline of user participation in these communities. In this paper, we present a Grid-enabled framework of expertise search (GREFES) engine which utilizes online communities as sources for experts on various topics. This is a work in progress. We also propose an open data structure called SNML (Social network Markup Language) to outline user participation in online communities. The architecture addresses major challenges in crawling of community data and query processing by utilizing Grid. An expert ranking algorithm is also discussed and evaluated.

关键词： Search engines Distributed computing Computer networks Grid computing Data analysis Data structures Social network services Query processing Online Communities/Technical Collaboration IP networks

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Reliable Data Dissemination with Diversity Multi-Hop Protocol for Wireless Sensors network

Reliable Data Dissemination with Diversity Multi-Hop Protoco...

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International Conference on Advanced Communication Technology (ICACT)

作者： Salman Khan Eui-Nam Huh Imran Rao Department of Computer Engineering Internet Computing and Network Security Laboratory Kyung Hee University South Korea Department of Computer Science and Software Engineering University of Melbourne Australia

The growing needs to support efficient data communications in wireless sensor networks (WSN) cannot be ignored. The resource constrained nature of WSN requires it to efficiently transmit the data with little consumption of network resources. We present a gossip based K - BackTrack (KBT) reliable data dissemination protocol for unstructured ad-hoc WSNs 1 . The goal of our proposed protocol is to ensure reliable data delivery and, at the same time, keeping the overhead associated with reliability low. The basic idea we employ is that each node to delay the acknowledgement message until it reaches K th hop in the WSN. Then the K th node then acknowledge the receipt of the message to the source directly. By increasing the value of K, we can minimize the network traffic. Moreover, the data dissemination in our proposed protocol exhibits low bandwidth cost (by minimizing the acknowledgement) and increases network lifetime (since critical sensors, ie. close to the control center are not overused). Through extensive experimental evaluation and comparison, our findings demonstrate that our protocol achieves significant improvements in energy efficiency and network lifetime.

关键词： Spread spectrum communication Wireless application protocol Wireless sensor networks Telecommunication network reliability Data communication Delay Communication system traffic control Bandwidth Costs Energy efficiency

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