IEEE Systems Journal最新文献_第3页

IEEE Systems Journal Information for Authors IEEE系统期刊信息作者

IF 4.9 3区计算机科学

IEEE Systems Journal Pub Date : 2026-09-01 Epub Date: 2026-09-02 DOI: 10.1109/JSYST.2026.3727023

引用次数: 0

An Integrated Capability Analysis Approach for Equipment System-of-Systems Based on Quality Function Deployment Under Fermatean Fuzzy Environment fermatan模糊环境下基于质量功能展开的装备系统综合能力分析方法

IF 4.9 3区计算机科学

IEEE Systems Journal Pub Date : 2026-09-01 Epub Date: 2026-08-12 DOI: 10.1109/JSYST.2026.3718744

Fei Gao

{"title":"An Integrated Capability Analysis Approach for Equipment System-of-Systems Based on Quality Function Deployment Under Fermatean Fuzzy Environment","authors":"Fei Gao","doi":"10.1109/JSYST.2026.3718744","DOIUrl":"https://doi.org/10.1109/JSYST.2026.3718744","url":null,"abstract":"System of systems (SoS) warfare has become a predominant paradigm in contemporary military operations. Within this framework, heterogeneous equipment is organized into integrated equipment SoS to accomplish missions through complex interactions and interdependencies. Designing an effective and efficient equipment SoS requires a rigorous identification of its capabilities and a sound assessment of their relative importance. However, the intricate relationships among tasks and capabilities make capability analysis challenging. To address this issue, this study proposes an integrated quality function deployment (QFD) approach that combines the analytic hierarchy process (AHP), the decision making trial and evaluation laboratory (DEMATEL) method, and the Tomada de Decisao Interativa Multicriterio (TODIM) within a Fermatean fuzzy environment. Fermatean fuzzy sets are used to represent uncertain and subjective information. Within the proposed framework, FF-AHP is employed to determine task importance, FF-DEMATEL is adopted to analyse intercapability relationships, and Fermatean fuzzy TODIM is used to derive a prioritized ranking of capabilities by jointly considering task importance, capability interdependencies, and task capability relationships. A case study on a search and rescue mission is conducted to illustrate the applicability of the proposed method. The results show that the framework can identify critical capabilities that are consistent with operational knowledge, and comparative analyses with conventional QFD, fuzzy technique for order preference by similarity to ideal solution (TOPSIS), fuzzy VIseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) and Fermatean fuzzy TOPSIS confirm the robustness and effectiveness of the proposed approach. Overall, the integrated Fermatean fuzzy QFD methodology provides a systematic and reliable tool for capability analysis in complex SoS warfare environments.","PeriodicalId":55017,"journal":{"name":"IEEE Systems Journal","volume":"20 3","pages":"1153-1164"},"PeriodicalIF":4.9,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148871223","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Novel SNN-Based Decision-Making Method for Coordination of UAV Formation Maintenance and Obstacle Avoidance 基于snn的无人机编队维护与避障协调决策方法

IF 4.9 3区计算机科学

IEEE Systems Journal Pub Date : 2026-09-01 Epub Date: 2026-07-16 DOI: 10.1109/JSYST.2026.3709000

Jun-Wei Zhu;Xiang Zhang;Jin-Peng Liu;Xin Wang

{"title":"A Novel SNN-Based Decision-Making Method for Coordination of UAV Formation Maintenance and Obstacle Avoidance","authors":"Jun-Wei Zhu;Xiang Zhang;Jin-Peng Liu;Xin Wang","doi":"10.1109/JSYST.2026.3709000","DOIUrl":"https://doi.org/10.1109/JSYST.2026.3709000","url":null,"abstract":"Formation maintenance and obstacle avoidance in multiuncrewed aerial vehicle (UAV) systems remain difficult because the two objectives are inherently conflicting in unknown environments. Existing optimization-based methods usually balance them by introducing formation and avoidance terms into a unified objective function, which improves trajectory quality but often increases computational burden and limits real-time applicability. Existing spiking neural network (SNN)-based methods, on the other hand, are mainly restricted to single-task obstacle avoidance or simple discrete action selection, and thus cannot effectively support coordinated formation-preserving flight. To address these limitations, this article proposes a novel brain-inspired SNN-based decision-making framework for coordinating UAV formation maintenance and obstacle avoidance. The proposed framework integrates a pigeon-inspired obstacle-avoidance planner, a virtual-leader-based formation controller, and an SNN decision module into a unified cooperative architecture. Its main novelty is that the SNN not only outputs discrete behavior decisions for switching between formation maintenance and obstacle avoidance, but also generates a continuous velocity-scaling coefficient for fine-grained motion regulation. On the one hand, this design improves the timeliness and flexibility of behavior switching; on the other hand, it enhances trajectory smoothness and accelerates formation reconstruction after obstacle avoidance. Compared with optimization-based methods and conventional rule-based or discrete-action SNN methods, the proposed framework provides better real-time adaptability and coordination performance. Simulation and real-world flight experiments verify its effectiveness and robustness in cooperative multi-UAV missions.","PeriodicalId":55017,"journal":{"name":"IEEE Systems Journal","volume":"20 3","pages":"882-893"},"PeriodicalIF":4.9,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148871335","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Home States Analysis Method of $omega$-Independent Unbounded Petri Nets With Application to Unbounded Systems $omega$独立无界Petri网的一种本态分析方法及其在无界系统中的应用

IF 4.9 3区计算机科学

IEEE Systems Journal Pub Date : 2026-09-01 Epub Date: 2026-07-24 DOI: 10.1109/JSYST.2026.3711127

Shuo Wang;Ru Yang

引用次数: 0

Almost Sure Exponential Stability for a Class of Complex Networks With Markovian Switching 一类具有马尔可夫交换的复杂网络的指数稳定性

IF 4.9 3区计算机科学

IEEE Systems Journal Pub Date : 2026-09-01 Epub Date: 2026-07-15 DOI: 10.1109/JSYST.2026.3707396

Hongqiang Ma;Hong Fan;Yanan Jiang;Liangjian Hu

引用次数: 0

Adaptive Event-Triggered Output Synchronization for Coupled Neural Networks With Multiple Output or Output Derivative Couplings 具有多输出或输出导数耦合的耦合神经网络的自适应事件触发输出同步

IF 4.9 3区计算机科学

IEEE Systems Journal Pub Date : 2026-09-01 Epub Date: 2026-07-24 DOI: 10.1109/JSYST.2026.3710832

Yan-Ran Zhu;Jin-Liang Wang;Jian-Qiao Wang;Shun-Yan Ren;Tingwen Huang

引用次数: 0

A Fully Distributed Superlinear Convergence Scheduling Method for Optimal Operation of Ship Energy Interconnected System 船舶能源互联系统最优运行的全分布超线性收敛调度方法

IF 4.9 3区计算机科学

IEEE Systems Journal Pub Date : 2026-09-01 Epub Date: 2026-07-27 DOI: 10.1109/JSYST.2026.3710582

Caijing Nie;Xiaoyuan Luo;Xinyu Wang;Tao Wu;Yuyan Zhang;Xinping Guan

引用次数: 0

Bipartite Fault-Tolerant Output Containment Control for Heterogeneous Linear Multiagent Systems Against DoS Attacks via the Dual-Terminal DETM 基于双终端DETM的异构线性多智能体系统抗DoS攻击的二部容错输出控制

IF 4.9 3区计算机科学

IEEE Systems Journal Pub Date : 2026-09-01 Epub Date: 2026-07-15 DOI: 10.1109/JSYST.2026.3703910

Yuliang Cai;Qiang Wang;Lianyan Fu;Hongjing Liang;Qiang He

引用次数: 0

Graph Neural Network Framework for Line Status Prediction in Power Systems Cascading Failures 电力系统级联故障状态预测的图神经网络框架

IF 4.9 3区计算机科学

IEEE Systems Journal Pub Date : 2026-09-01 Epub Date: 2026-08-12 DOI: 10.1109/JSYST.2026.3718751

Naeem Md Sami;Mia Naeini

引用次数: 0

PQPP: Postquantum Privacy Preserving for BIoMT With Lattice-Based Threshold Signcryption PQPP：基于格的阈值签名的生物医学信息后量子隐私保护

IF 4.9 3区计算机科学

IEEE Systems Journal Pub Date : 2026-09-01 Epub Date: 2026-07-28 DOI: 10.1109/JSYST.2026.3707828

Chaoyang Li;Bingfan Gao;Mianxiong Dong;Min Huang;Xiangjun Xin;Kaoru Ota

{"title":"PQPP: Postquantum Privacy Preserving for BIoMT With Lattice-Based Threshold Signcryption","authors":"Chaoyang Li;Bingfan Gao;Mianxiong Dong;Min Huang;Xiangjun Xin;Kaoru Ota","doi":"10.1109/JSYST.2026.3707828","DOIUrl":"https://doi.org/10.1109/JSYST.2026.3707828","url":null,"abstract":"The blockchain-based Internet of Medical Things (BIoMT) leverages blockchain technology to tackle data islands in traditional IoMT systems. However, in conventional medical data sharing architectures, the independent execution of encryption and signature operations increases the risk of privacy leakage and private key compromise, and many existing signcryption schemes cannot resist quantum attacks. In this article, a postquantum privacy-preserving (PQPP) model is constructed with a lattice-based threshold signcryption scheme (LTSC). The PQPP model integrates blockchain and LTSC to safeguard the privacy of cross-institutional medical data sharing while attaining antiquantum security. The LTSC scheme applies the threshold mechanism to improve the fault-tolerant capability of ciphertext recovery and performs signature and encryption simultaneously to improve computational and communication efficiency effectively. It also utilizes the small integer solution problem and the learning with errors problem to resist quantum attacks. Security analysis proves that the scheme has confidentiality, unforgeability, and threshold characteristics under the random oracle model. The time consumption, energy consumption, and key size of the proposed scheme were compared in a constrained environment. The performance evaluation shows that in various comparison scenarios, the LTSC scheme reduces the time costs of key generation, signcryption, and unsigncryption, and is also superior to other threshold and lattice-based signcryption schemes in terms of energy consumption, communication delay, and key storage costs. Therefore, the proposed PQPP model provides an efficient, fault-tolerant, and quantum-resistant privacy protection solution for the secure sharing of cross-institutional medical data in the BIoMT field.","PeriodicalId":55017,"journal":{"name":"IEEE Systems Journal","volume":"20 3","pages":"989-1000"},"PeriodicalIF":4.9,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148871044","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0