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Structural modeling of a typical gas turbine system

Naresh YADAV, Irshad Ahmad KHAN, Sandeep GROVER

Frontiers in Energy 2012, Volume 6, Issue 1,   Pages 57-79 doi: 10.1007/s11708-011-0164-8

Abstract: This paper presents an approach for the structural modeling and analysis of a typical gas turbine systemThis approach has been applied to the systems and subsystems, which are integral parts of a typical gasassociativity of such subsystems contributing to overall gas turbine system functional evaluation using graphtheoretic approach.

Keywords: system modeling     gas turbine system evaluation     graph theoretic approach    

A Practical Approach to Constructing a Knowledge Graph for Cybersecurity Article

Yan Jia, Yulu Qi, Huaijun Shang, Rong Jiang, Aiping Li

Engineering 2018, Volume 4, Issue 1,   Pages 53-60 doi: 10.1016/j.eng.2018.01.004

Abstract: At present, it is very significant that certain scholars have combined the concept of the knowledge graph

Keywords: Cybersecurity     Knowledge graph     Knowledge deduction    

Classifying multiclass relationships between ASes using graph convolutional network

Frontiers of Engineering Management   Pages 653-667 doi: 10.1007/s42524-022-0217-1

Abstract: We then introduce new features and propose a graph convolutional network (GCN) framework, AS-GCN, to

Keywords: autonomous system     multiclass relationship     graph convolutional network     classification algorithm     Internet    

Game theoretic analysis of environmental impact assessment system in China

CHENG Hongguang, PU Xiao, GONG Li, QI Ye

Frontiers of Environmental Science & Engineering 2007, Volume 1, Issue 4,   Pages 448-453 doi: 10.1007/s11783-007-0071-8

Abstract: Environmental impact assessment (EIA) system has been established in China since 1973. In present EIA cases, there are four participants in general: governments, enterprises, EIA organizations and the public. The public has held re

Keywords: public     impact assessment     Environmental impact     general    

A knowledge-guided and traditional Chinese medicine informed approach for herb recommendation Research Article

Zhe JIN, Yin ZHANG, Jiaxu MIAO, Yi YANG, Yueting ZHUANG, Yunhe PAN,11521043@zju.edu.cn,yinzh@zju.edu.cn

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 10,   Pages 1416-1429 doi: 10.1631/FITEE.2200662

Abstract: In this paper, we propose a knowledge-guided and TCM-informed approach for .

Keywords: Traditional Chinese medicine     Herb recommendation     Knowledge graph     Graph attention network    

The Theoretic Evaluation and Verification for the Necking Force of the Cone-shaped Concave Die

Hu Chengwu,Luo Wenbo,Peng Yanrong

Strategic Study of CAE 2005, Volume 7, Issue 6,   Pages 54-56

Abstract:

Necking force is the main failure factor to the unstabitily of the thin-wall cylindrical parts. In order to improve the calculation precision of the necking force , Сторожев and Унксов separately put forward two different calculation methods about the necking force of the thin-wall cylindrical parts which take into consideation the thickness changing, the hardening effect and the friction function. In this paper, the results of the two calculation methods are analyzed by example,and are compared with experimented data. The results of two calculation methods are close to each other, and tally with experimented data.

Keywords: necking force     theoretic evaluation     verification    

Large-scale graph processing systems: a survey Review

Ning LIU, Dong-sheng LI, Yi-ming ZHANG, Xiong-lve LI

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 3,   Pages 384-404 doi: 10.1631/FITEE.1900127

Abstract: Graph is a significant data structure that describes the relationship between entries.Many application domains in the real world are heavily dependent on graph data.However, graph applications are vastly different from traditional applications.of specific graph processing platforms.In this survey, we systematically categorize the graph workloads and applications, and provide a detailed

Keywords: Graph workloads     Graph applications     Graph processing systems    

An incremental ant colony optimization based approach to task assignment to processors for multiprocessor Article

Hamid Reza BOVEIRI

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 4,   Pages 498-510 doi: 10.1631/FITEE.1500394

Abstract: assigning tasks to the processors using the traditional EST method is not optimum; in addition, a novel approach

Keywords: Ant colony optimization     List scheduling     Multiprocessor task graph scheduling     Parallel and distributed    

Resource allocation for network profit maximization in NOMA-based F-RANs: a game-theoretic approach Research Article

Xueyan CAO, Shi YAN, Hongming ZHANG

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 10,   Pages 1546-1561 doi: 10.1631/FITEE.2100341

Abstract:

(NOMA) based s (F-RANs) offer high spectrum efficiency, ultra-low delay, and huge network throughput, and this is made possible by edge computing and communication functions of the fog access points (F-APs). Meanwhile, caching-enabled F-APs are responsible for edge caching and delivery of a large volume of multimedia files during the caching phase, which facilitates further reduction in the transmission energy and burden. The need of the prevailing situation in industry is that in NOMA-based F-RANs, energy-efficient , which consists of (CP) and radio (RRA), is crucial for network performance enhancement. To this end, in this paper, we first characterize an NOMA-based F-RAN in which F-APs of caching capabilities underlaid with the radio remote heads serve user equipments via the NOMA protocol. Then, we formulate a problem for maximizing the defined performance indicator, namely network profit, which takes caching cost, revenue, and energy efficiency into consideration. The NP-hard problem is decomposed into two sub-problems, namely the CP sub-problem and RRA sub-problem. Finally, we propose an iterative method and a Stackelberg game based method to solve them, and numerical results show that the proposed solution can significantly improve network profit compared to some existing schemes in NOMA-based F-RANs.

Keywords: Fog radio access network     Non-orthogonal multiple access     Game theory     Cache placement     Resource allocation    

Detecting large-scale underwater cracks based on remote operated vehicle and graph convolutional neural

Wenxuan CAO; Junjie LI

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 11,   Pages 1378-1396 doi: 10.1007/s11709-022-0855-8

Abstract: The graph convolutional neural network (GCN) was used to segment the stitched image.

Keywords: underwater cracks     remote operated vehicle     image stitching     image segmentation     graph convolutional    

Distributed coordination inmulti-agent systems: a graph Laplacian perspective

Zhi-min HAN,Zhi-yun LIN,Min-yue FU,Zhi-yong CHEN

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 6,   Pages 429-448 doi: 10.1631/FITEE.1500118

Abstract: This paper reviews some main results and progress in distributed multi-agent coordination from a graphsurvey of existing literature in distributed multi-agent coordination and a new perspective in terms of graphFor different types of graph Laplacians, we summarize their inherent coordination features and specific

Keywords: Multi-agent systems     Distributed coordination     Graph Laplacian    

Efficacy of intelligent diagnosis with a dynamic uncertain causality graph model for rare disorders of

Dongping Ning, Zhan Zhang, Kun Qiu, Lin Lu, Qin Zhang, Yan Zhu, Renzhi Wang

Frontiers of Medicine 2020, Volume 14, Issue 4,   Pages 498-505 doi: 10.1007/s11684-020-0791-8

Abstract: On the basis of the principles and algorithms of dynamic uncertain causality graph (DUCG), a diagnosis

Keywords: disorders of sex development (DSD)     intelligent diagnosis     dynamic uncertain causality graph    

Aprojected gradient based game theoretic approach for multi-user power control in cognitive radio network None

Yun-zheng TAO, Chun-yan WU, Yu-zhen HUANG, Ping ZHANG

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 3,   Pages 367-378 doi: 10.1631/FITEE.1700067

Abstract: The fifth generation (5G) networks have been envisioned to support the explosive growth of data demand caused by the increasing traditional high-rate mobile users and the expected rise of interconnections between human and things. To accommodate the ever-growing data traffic with scarce spectrum resources, cognitive radio (CR) is considered a promising technology to improve spectrum utilization. We study the power control problem for secondary users in an underlay CR network. Unlike most existing studies which simplify the problem by considering only a single primary user or channel, we investigate a more realistic scenario where multiple primary users share multiple channels with secondary users. We formulate the power control problem as a non-cooperative game with coupled constraints, where the Pareto optimality and achievable total throughput can be obtained by a Nash equilibrium (NE) solution. To achieve NE of the game, we first propose a projected gradient based dynamic model whose equilibrium points are equivalent to the NE of the original game, and then derive a centralized algorithm to solve the problem. Simulation results show that the convergence and effectiveness of our proposed solution, emphasizing the proposed algorithm, are competitive. Moreover, we demonstrate the robustness of our proposed solution as the network size increases.

Keywords: Cognitive radio networks     Multi-user power control     Non-cooperative game     Nash equilibrium     Projected gradient    

Erratum to: Soft-HGRNs: soft hierarchical graph recurrent networks for multi-agent partially observable

Yixiang REN, Zhenhui YE, Yining CHEN, Xiaohong JIANG, Guanghua SONG

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 3,   Pages 480-480 doi: 10.1631/FITEE.22e0073

A DNA Computing Model for the Graph Vertex Coloring Problem Based on a Probe Graph Article

Jin Xu, Xiaoli Qiang, Kai Zhang, Cheng Zhang, Jing Yang

Engineering 2018, Volume 4, Issue 1,   Pages 61-77 doi: 10.1016/j.eng.2018.02.011

Abstract: overcome this bottleneck and improve the processing speed, we propose a DNA computing model to solve the graphIn this article, a 3-colorable graph with 61 vertices is used to illustrate the capability of the DNAThe experiment showed that not only are all the solutions of the graph found, but also more than 99%

Keywords: DNA computing     Graph vertex coloring problem     Polymerase chain reaction    

Title Author Date Type Operation

Structural modeling of a typical gas turbine system

Naresh YADAV, Irshad Ahmad KHAN, Sandeep GROVER

Journal Article

A Practical Approach to Constructing a Knowledge Graph for Cybersecurity

Yan Jia, Yulu Qi, Huaijun Shang, Rong Jiang, Aiping Li

Journal Article

Classifying multiclass relationships between ASes using graph convolutional network

Journal Article

Game theoretic analysis of environmental impact assessment system in China

CHENG Hongguang, PU Xiao, GONG Li, QI Ye

Journal Article

A knowledge-guided and traditional Chinese medicine informed approach for herb recommendation

Zhe JIN, Yin ZHANG, Jiaxu MIAO, Yi YANG, Yueting ZHUANG, Yunhe PAN,11521043@zju.edu.cn,yinzh@zju.edu.cn

Journal Article

The Theoretic Evaluation and Verification for the Necking Force of the Cone-shaped Concave Die

Hu Chengwu,Luo Wenbo,Peng Yanrong

Journal Article

Large-scale graph processing systems: a survey

Ning LIU, Dong-sheng LI, Yi-ming ZHANG, Xiong-lve LI

Journal Article

An incremental ant colony optimization based approach to task assignment to processors for multiprocessor

Hamid Reza BOVEIRI

Journal Article

Resource allocation for network profit maximization in NOMA-based F-RANs: a game-theoretic approach

Xueyan CAO, Shi YAN, Hongming ZHANG

Journal Article

Detecting large-scale underwater cracks based on remote operated vehicle and graph convolutional neural

Wenxuan CAO; Junjie LI

Journal Article

Distributed coordination inmulti-agent systems: a graph Laplacian perspective

Zhi-min HAN,Zhi-yun LIN,Min-yue FU,Zhi-yong CHEN

Journal Article

Efficacy of intelligent diagnosis with a dynamic uncertain causality graph model for rare disorders of

Dongping Ning, Zhan Zhang, Kun Qiu, Lin Lu, Qin Zhang, Yan Zhu, Renzhi Wang

Journal Article

Aprojected gradient based game theoretic approach for multi-user power control in cognitive radio network

Yun-zheng TAO, Chun-yan WU, Yu-zhen HUANG, Ping ZHANG

Journal Article

Erratum to: Soft-HGRNs: soft hierarchical graph recurrent networks for multi-agent partially observable

Yixiang REN, Zhenhui YE, Yining CHEN, Xiaohong JIANG, Guanghua SONG

Journal Article

A DNA Computing Model for the Graph Vertex Coloring Problem Based on a Probe Graph

Jin Xu, Xiaoli Qiang, Kai Zhang, Cheng Zhang, Jing Yang

Journal Article