A5055176283- Interconnection Networks and Systems
- Chalcogenide Semiconductor Thin Films
- Quantum Dots Synthesis And Properties
- Perovskite Materials and Applications
- Software-Defined Networks and 5G
- Graph theory and applications
- VLSI and Analog Circuit Testing
- Radiation Effects in Electronics
- Embedded Systems Design Techniques
- Complex Network Analysis Techniques
- Opportunistic and Delay-Tolerant Networks
- Copper-based nanomaterials and applications
- Advancements in Battery Materials
- Privacy-Preserving Technologies in Data
- Advanced Optical Network Technologies
- Caching and Content Delivery
- Distributed systems and fault tolerance
- Human Mobility and Location-Based Analysis
- Privacy, Security, and Data Protection
- Phase-change materials and chalcogenides
- Internet Traffic Analysis and Secure E-voting
- Smart Grid Security and Resilience
- Semiconductor materials and interfaces
- Reliability and Maintenance Optimization
- Cryptography and Data Security
Fujian Normal University
2016-2025
National Health Research Institutes
2021-2025
Zhongkai University of Agriculture and Engineering
2022
State Key Laboratory of Cryptology
2014-2021
Tan Kah Kee Innovation Laboratory
2016-2020
Fujian Agriculture and Forestry University
2017-2019
PLA Army Service Academy
2017
With the rapid increase of number processors in multiprocessor systems and fast expansion interconnection networks, reliability network is facing severe challenges, where recognition fault crucial. In practice, most processor failures are intermittent faults. this article, we first determine diagnosability <inline-formula><tex-math notation="LaTeX">$t_{I}^{PMC}(S_{n}^{2})$</tex-math></inline-formula> notation="LaTeX">$n$</tex-math></inline-formula> -dimensional split-star...
Extra connectivity, diagnosability, and conditional diagnosability are all important measures for a multiprocessor system's ability to diagnose tolerate faults. In this paper, we analyze the fault tolerance alternating group graph, well-known interconnection network proposed systems, establish h-extra where 1 ≤ h 3, prove that of an n-dimensional denoted by AG <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">n</sub> , is 8n - 27 (n ≥ 4) under PMC...
Connectivity is a classic measure for fault tolerance of network in the case vertices failures. Extra connectivity and restricted are two important indicators robustness multi-processor system presence failing processors. An interconnection network's diagnosability an its self-diagnostic capability. The conditional widely accepted as new by assuming that any fault-set cannot contain all neighbors node multiprocessor system. In this paper, we analyze combinatorial properties ability...
Shexiang Baoxin Pill (SBP), a traditional Chinese medicine formula, is commonly used to treat cardiovascular disease (CVD) in China. However, the complexity of composition and targets has deterred our understanding its mechanism action. Using network pharmacology-based approaches, we established action for SBP CVD by analyzing protein-protein interactions pathways. The computational results were confirmed at gene expression level microarray-based studies. Two SBP's further protein Western...
The h-extra node-connectivity of a graph G is the size minimal node-set, whose removal will disconnect G, but each remaining component has no fewer h + 1 nodes. Based on node-connectivity, conditional fault-diagnosability networks been proposed for better, more realistic measure networks' fault-tolerability. It maximal x such that conditionally x-fault-diagnosable. This paper establish relationship between and regular under classic PMC diagnostic model. We apply newly found to variety...
Extra connectivity is an important indicator of the robustness a multiprocessor system in presence failing processors. The g-extra conditional diagnosability and t/m-diagnosability are two diagnostic strategies at system-level that can significantly enhance system's self-diagnosing capability. defined under assumption every component removing set faulty vertices has more than g vertices. t/m-diagnosis strategy detect up to t processors which might include most m misdiagnosed processors,...
Abstract Antimony sulfide (Sb 2 S 3 ) is emerging as a promising light harvesting material owing to its brilliant photoelectric property. However, the performance of Sb ‐based solar cells partly limited by serious back contact interface recombination and hole transportation resistance. High‐efficiency devices typically use Spiro‐OMeTAD and/or Au materials, but their stability cost are concern. In this sense, surface modification scheme lithium‐doping first introduced for via facile molten...
The <formula formulatype="inline" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex Notation="TeX">${{t/k}}$</tex> </formula> -diagnosis is a diagnostic strategy at system level that can significantly enhance the system's self-diagnosing capability. It detect up to Notation="TeX">${{t}}$</tex> faulty processors (or nodes, units) which might include most Notation="TeX">${{k}}$</tex> misdiagnosed processors, where Notation="TeX">${ {k}}$</tex>...
The g-restricted connectivity (g-RC) is the minimum vertex-set size of a network, whose deletion disconnects network such that each remaining vertex has at least g neighbors in its respective component. g-RC deterministic indicator tolerability with failing processors. g-good-neighbor fault diagnosability (g-GNFD) largest set correctly identified faulty vertices any good no fewer neighbors. This paper establishes relationship between and g-GNFD general regular networks, first under PMC model...
A network's diagnosability is the maximum number of faulty vertices network can discriminate solely by performing mutual tests among vertices. It an important measure a robustness. The original without any condition often rather low because it bounded minimum degree. Several conditional have been proposed in past to increase allowed vertices, and hence enhancing network. g-good-neighbor guarantee identify, under that every fault-free vertex has at least g neighbors (i.e., good neighbors). In...
Crop breeding is one of the main approaches to increase crop yield and improve quality. However, process faces challenges such as complex data, difficulties in data acquisition, low prediction accuracy, resulting efficiency long cycle. Deep learning-based a strategy that applies deep learning techniques optimize process, leading accelerated improvement, enhanced efficiency, development higher-yielding, more adaptive, disease-resistant varieties for agricultural production. This perspective...
As the cardinality of multiprocessor systems grows, probability arising malfunctioning or failing processors in system is bound to increase. It then both practical and theoretical importance know reliability as a whole. One metric for system's overall measurement collective effect its subsystems becoming faulty. However, challenge this approach that often interact with each other complex manner, making analysis difficult. Wu Latifi (Int. Sci., vol. 178, pp. 2337-2348, Oct. 2008) proposed two...
As the size of a multiprocessor computer system grows, probability having faulty (i.e., malfunctioning or failing) processors in increases. It is then important to quantify how faults collectively affect entire system. The reliability subsystems system, defined as that fault-free subsystem certain still exists when has faults, measure for faults' effect on whole can be used an indicator health. In this paper, we will present two schemes calculate <formula formulatype="inline"...