Article
Computer Science, Information Systems
Hongjie Zhang, Shengke Zeng, Jiali Yang
Summary: Symmetric Searchable Encryption (SSE) allows for private data outsourcing to an untrusted server. Dynamic SSE (DSSE) is a practical application that supports data addition and deletion, but these operations can lead to information leakage during search and update queries. To address this, forward and backward privacy are introduced in DSSE, with backward privacy receiving less attention. This paper presents a practical DSSE scheme that achieves stronger backward security by utilizing key-homomorphic pseudorandom functions, requiring only 1 roundtrip to obtain search results.
INFORMATION SCIENCES
(2023)
Article
Automation & Control Systems
Qianqian Su, Rui Zhang, Rui Xue, You Sun, Sheng Gao
Summary: In this article, a distributed attribute-based signature (DABS) scheme is proposed for distributed electricity trading, ensuring user privacy and transaction efficiency. The scheme utilizes the open and tamper-resistant properties of blockchain to achieve signature verifiability independent of attribute changes. An improved scheme is also presented to reduce update complexity. Performance analysis and simulation experiments demonstrate the security and practicality of DABS.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2023)
Article
Automation & Control Systems
Kai Yin, Dedong Yang
Summary: This paper investigates the output feedback l(1) control problems of positive Markov jump systems using an event-triggered method. The authors propose two novel dynamic output event-triggered control strategies for continuous-time and discrete-time PMJSs, and present sufficient conditions for positivity, stochastic stability, and l(1)-gain performance. Controllers and event-triggered strategies are co-designed to stabilize the systems. The effectiveness of the proposed design schemes is verified through numerical examples.
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
(2022)
Article
Physics, Nuclear
Matteo Agostini, Giovanni Benato, Jason A. Detwiler, Javier Menendez, Francesco Vissani
Summary: Future experiments will comprehensively test the existence of neutrinoless double-beta decay mediated by light neutrinos, utilizing multiple isotopes to explore the decay mechanisms and investigate new research areas.
Review
Chemistry, Organic
Helene Pellissier
Summary: Organocatalytic dynamic kinetic resolution (DKR) has emerged as a promising field in the past two decades, allowing efficient separation of chiral compounds. This review aims to provide an update on organocatalytic DKRs since 2016.
EUROPEAN JOURNAL OF ORGANIC CHEMISTRY
(2022)
Article
Physics, Multidisciplinary
Y. -N Lv, A. -W. Liu, Y. Tan, C. -L. Hu, T. -P. Hua, X. -B. Zou, Y. R. Sun, C. -L. Zou, G. -C. Guo, S. -M. Hu
Summary: In this study, a mechanism of Fano-like resonance induced by distant discrete levels is proposed and experimentally verified with Doppler-free spectroscopy of CO2. The observed spectrum exhibits an asymmetric profile, and its amplitude increases quadratically with the probe laser power. These findings have significant implications for research based on narrow transitions.
PHYSICAL REVIEW LETTERS
(2022)
Article
Biochemical Research Methods
Marvin van Aalst, Oliver Ebenhoeh, Anna Matuszynska
Summary: Computational mathematical models of biological and biomedical systems have greatly advanced our understanding of regulatory processes, metabolic fluxes, drug therapies, and disease evolution. Despite efforts like SBML and the BioModels database, many models have not been fully utilized due to lack of documentation and proprietary software dependency. The development of an open-source toolbox like modelbase aims to make model construction more consistent, transparent, and reproducible, facilitating further development in systems biology and medicine.
BMC BIOINFORMATICS
(2021)
Article
Automation & Control Systems
Yi-Chieh Sun, Inseok Hwang
Summary: With the development of autonomous driving system, accurate tracking of the number of vehicles and their states is crucial for ensuring traffic safety. The Gaussian mixture probability hypothesis density (GM-PHD) filter is a popular approach for solving the multiple-target tracking (MTT) problem, but it assumes constant values for detection probability, survival probability, and birth rate, which may not hold true in road traffic surveillance. To tackle this issue, we propose an algorithm that dynamically updates these probabilities based on the semantic information from the environment and the state-dependent GM-PHD filter. The proposed algorithm is demonstrated to be effective in various road traffic scenarios.
EUROPEAN JOURNAL OF CONTROL
(2023)
Article
Computer Science, Information Systems
Jing Liu, Yating Wang, Xiangdong Huang, Yuting Su
Summary: In this paper, two template update mechanisms (DTDU) are proposed to adapt the target template during the tracking process, addressing the issue of target appearance variation in conventional template tracking methods. Extensive experiments have demonstrated the effectiveness of these two mechanisms.
JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION
(2022)
Article
Engineering, Mechanical
Anqi Fu, Junfei Qiao
Summary: This paper presents a periodic event-triggered control technique for wireless networked control systems, incorporating asynchronous update and dynamic quantization for nonlinear systems and considering stability with disturbances. The approach includes computing a threshold at each sensor node and deciding event triggering based on the local sampling error and threshold.
NONLINEAR DYNAMICS
(2022)
Article
Computer Science, Artificial Intelligence
Chengcheng Yang, Lisi Chen, Hao Wang, Shuo Shang, Rui Mao, Xiangliang Zhang
Summary: This paper addresses the problem of computing the similarity join in a dynamic context and proposes an adaptive filtering method ALJoin. The method incrementally computes the join result based on update logs and effectively identifies similar and dissimilar set pairs by building neighborhood indexes. Experimental results show that this method outperforms existing methods by up to 3.7x.
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
(2023)
Article
Computer Science, Artificial Intelligence
Dongyue Sun, Xian Wang, Yingjie Man, Ningdao Deng, Zhaoxin Peng
Summary: This paper proposes a Siamese tracker with dynamic-static dual-template fusion and dynamic template adaptive update based on DaSiamRPN and UpdateNet. The method combines a static template and a real-time updated dynamic template, and adopts an adaptive update strategy to adjust to changes in object appearance and suppress the adverse effects of noise interference and contamination.
FRONTIERS IN NEUROROBOTICS
(2023)
Article
Mathematics, Applied
Mostafa Haghir Chehreghani
Summary: This paper presents the first sublinear update time randomized algorithms for regression on general dynamic graphs. The algorithms are based on subsampled randomized Hadamard transform and CountSketch, supporting edge and node insertions and deletions, and updating the approximate solution efficiently.
APPLIED MATHEMATICS AND COMPUTATION
(2021)
Article
Engineering, Civil
Xuejiao Liu, Oubo Ma, Wei Chen, Yingjie Xia, Yuxuan Zhou
Summary: The proposed hybrid reputation system (HDRS) allows vehicles and roadside units (RSU) to conduct reputation evaluations separately and provide references to each other. It utilizes a reliability evaluation module to filter out unreliable calculation results and reference records, and includes a dynamic adjustment mechanism for reputation update interval to resist intelligent attacks. Simulation results demonstrate that HDRS maintains high detection rates for malicious vehicles and improves detection rates of collusion and intelligent attacks compared to existing schemes.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Article
Multidisciplinary Sciences
Alejandro Moreo, Fabrizio Sebastiani
Summary: Sentiment quantification is the task of training estimators to measure the relative frequency of sentiment-related classes in unlabelled texts. This task is especially important for tweets, where quantification is the ultimate goal rather than individual tweet classification. Previous studies have used suboptimal methods for quantification, and the reliability of their conclusions is questionable. In this study, the quantification methods used in the previous study were reevaluated using the same datasets and a more robust experimental protocol. The results significantly differed from the previous study, providing a more solid understanding of the strengths and weaknesses of different sentiment quantification methods.
