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Determination of the critical rainfall of runoff-initiated debris flows by the perspective of physical mechanics and Shields stress

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Journal of Mountain Science 2024年第4期21卷 1160-1173页

作者： MA Chao ZHU Yongtai LU Lu DU Cui LYU Liqun DONG Jie School of Soil and Water Conservation Beijing Forestry UniversityBeijing 100083China Beijing Institute of Geological Hazard Prevention Beijing 100120China School of Software Engineering Chengdu University of Information TechnologyChengdu610225China Civil and Environmental Engineering Department Clarkson UniversityNY 13699USA

The critical rainfall of runoff-initiated debris flows is utmost importance for local early hazard *** paper presents research on the critical rainfall of runoff-initiated debris flows through comparisons between slope gradients and three key factors,including topographic contributing area,dimensionless discharge,and Shields *** rainfall amount was estimated by utilizing in-situ rainfall records and a slope-dependent Shields stress model was *** created model can predict critical Shields stress more accurately than the other two ***,a new dimensionless discharge equation was proposed based on the corresponding discharge-gradient *** new equation,along with factors such as contributing area above bed failure sites,channel width,and mean diameter of debris flow deposits,predicts a smaller rainfall amount than the in-situ measured *** the slope-dependent Shields stress model performs well and the estimated rainfall amount is lower than the in-situ records,the sediment initiation in the experiments falls within sheet flow regime due to a large Shields ***,further sediment initiation experiments at a steeper slope range are expected in the future to ensure that the sediment transport belongs to mass failure regime characterized by a low level of Shields ***,a more accurate hazard forecast on the runoff-initiated debris flow holds promise when the corresponding critical slope-dependent dimensionless discharge of no motion,fluvial sediment transport,mass flow regime,and sheet flow regime are considered.

关键词： Infinite slope stability Shields stress Contributing area-slope gradient Rainfall back estimation

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Local and Global Feature Interaction Network for Endoscope Image Classification 12th

Local and Global Feature Interaction Network for Endoscope I...

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12th International Conference on Image and Graphics, ICIG 2023

作者： Dong, Zhengqi Xu, Benzhu Shi, Jun Zheng, Liping School of Computer Science and Information Engineering Hefei University of Technology Hefei China School of Software Hefei University of Technology Hefei China

ISBN: (纸本)9783031463136

Convolutional Neural Network (CNN) shows great performance in the field of endoscopic image classification in past few years. It can capture local features of endoscopic images, but it fails to exploit global semantic information. Recently transformer is proposed and successfully applied in computer vision, which can model global long-range dependencies based on the self-attention mechanism. Considering the advantages of CNN and transformer, we propose a novel local and global feature interaction network for endoscope image classification. Different from the existed methods fusing CNN and transformer features, our method achieves these two kinds of features interaction during feature learning and further enhances the feature discrimination ability of CNN and transformer features. Specifically, our backbone consists of multiple CNN-FIB-Transformer (CFT) modules which includes CNN block, feature interaction block (FIB) and transformer encoder. Features extracted from CNN block and transformer encoder are fed into our proposed FIB in parallel, which can interact local and global features of endoscopic images through cross-attention mechanism and further improve their own feature representation capability. Furthermore, we also introduce the loss function of prediction alignment to guarantee the prediction consistency of CNN and transformer features, in addition of conventional cross-entropy loss functions for their own features. Experiments on two public endoscope image datasets (Kvasir2 and HyperKvasir) have demonstrated the feasibility and effectiveness of the proposed method for endoscope image classification. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2023.

关键词： Forecasting

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Scheduling Tool for Deterministic Communication in Distributed Real-Time Systems 10

Scheduling Tool for Deterministic Communication in Distribut...

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10th Workshop on software Quality Analysis, Monitoring, Improvement, and Applications, SQAMIA 2023

作者： Mach, Jan Tašková, Valéria Kohútka, Lukáš Institute of Computer Engineering and Applied Informatics Faculty of Informatics and Information Technologies Slovak University of Technology Bratislava Slovakia Institute of Informatics Information Systems and Software Engineering Faculty of Informatics and Information Technologies Slovak University of Technology Bratislava Slovakia

A network with critical data streams, where the timing of incoming and outgoing data is a necessity, is called a deterministic network. These networks are mostly used in association with real-time systems that use periodic hard-real-time data which need to be scheduled. The algorithm proposed in this paper is focused on achieving the lowest possible latency within the specified network topology depending on the physical parameters of the network and the periodic requirements of the communicating nodes. The algorithm allows to add priorities to the data flow between nodes and also the option to specify if preemption is allowed within the network, since not all devices support it. The result is a schedule of hard-real-time data communication within a specified network topology where all requirements of communicating nodes are met if such a solution is possible. © 2023 Copyright for this paper by its authors.

关键词： deadline deterministic scheduling Ethernet scheduling algorithm time-sensitive networking

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Mobile Fighter Plane Game Manipulation: Touch-based Method vs. Camera-Based Method 9

Mobile Fighter Plane Game Manipulation: Touch-based Method v...

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9th International Conference on Systems and Informatics, ICSAI 2023

作者： Chen, Liang Chengdu University of Information Technology School of Software Engineering Chengdu China Sichuan Prov. Eng. Technology Research Center of Support Software of Informatization Application Chengdu China

ISBN: (纸本)9798350383706

Direct touch input has already been ubiquitously used on various mobile devices. However, direct touch manipulation sometimes degrades mobile game experience due to its limitations, such as the occlusion problem and the virtual button-based manipulation. In this paper, we investigate camera-based mobile game manipulation which takes advantage of camera input to enable button-free interactions without hand occlusion. The results of a preliminary user study indicate that, on the whole, the participants believe that the camera-based manipulation is intuitive, easy-to-learn, and easy-to-use. In addition, overall, they also give positive feedbacks on the bullet-firing control, button-free and occlusion-free manipulation, and believe that the camera-based manipulation is better than the touch-based manipulation. © 2023 IEEE.

关键词： Cameras

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A systematic mapping to investigate the application of machine learning techniques in requirement engineering activities

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CAAI Transactions on Intelligence technology 2024年第6期9卷 1412-1434页

作者： Shoaib Hassan Qianmu Li Khursheed Aurangzeb Affan Yasin Javed Ali Khan Muhammad Shahid Anwar School of Computer Science and Engineering Nanjing University of Science and TechnologyNanjingJiangsuChina Department of Computer Engineering College of Computer and Information SciencesKing Saud UniversityRiyadhSaudi Arabia School of Software Northwestern Polytechnical UniversityXianShaanxiChina Department of Computer Science School of PhysicsEngineering&Computer ScienceUniversity of HertfordshireHatfieldUK Department of AI and Software Gachon University Seongnam-siSeongnamSouth Korea

Over the past few years,the application and usage of Machine Learning(ML)techniques have increased exponentially due to continuously increasing the size of data and computing *** the popularity of ML techniques,only a few research studies have focused on the application of ML especially supervised learning techniques in Requirement engineering(RE)activities to solve the problems that occur in RE *** authors focus on the systematic mapping of past work to investigate those studies that focused on the application of supervised learning techniques in RE activities between the period of 2002–*** authors aim to investigate the research trends,main RE activities,ML algorithms,and data sources that were studied during this ***-five research studies were selected based on our exclusion and inclusion *** results show that the scientific community used 57 *** those algorithms,researchers mostly used the five following ML algorithms in RE activities:Decision Tree,Support Vector Machine,Naïve Bayes,K-nearest neighbour Classifier,and Random *** results show that researchers used these algorithms in eight major RE *** activities are requirements analysis,failure prediction,effort estimation,quality,traceability,business rules identification,content classification,and detection of problems in requirements written in natural *** selected research studies used 32 private and 41 public data *** most popular data sources that were detected in selected studies are the Metric Data Programme from NASA,Predictor Models in software engineering,and iTrust Electronic Health Care System.

关键词： data sources machine learning requirement engineering supervised learning algorithms

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Evaluate Database Management System Quality By Analytic Hierarchy Process (AHP) and Simple Additive Weighting (SAW) Methodology

Mendel

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Mendel 2022年第2期28卷 67-75页

作者： Al Nawaiseh, Asmaa Jameel Albtoush, Audi Al-Msied´een, Raf´at Al Nawaiseh, Sabah Jamil Department of Software Engineering Faculty of Information Technology Mutah University Karak Mutah61710 Jordan Educational Technology Department Middle East University Jordan

Any organization that intends to use component-based software development, like outsourcing software, must first evaluate existing components against system requirements to find the best fit among many alternatives. As a result, there should be a mechanism to help with decision-making. Our proposed methodology tries to select the best alternative among available components, using the best decisionmaking approach. As an integrated method for order preference, the methodology in this paper uses two well-known criterion decision-making procedures, namely Analytic Hierarchy Process (AHP) and Simple Additive Weighting (SAW). By analyzing and selecting the optimal solution among a variety of Out Sourcing (OS) modules, the new model design makes the decision-making process easier. We evaluated two software attributes and predicted which was more effective. In this case, the advantage of utilizing AHP is that it allows the developer to evaluate the structure of the OS selection problem and calculate weights for the chosen criteria. After that, the SAW technique is used to calculate the alternatives ratings for OS components. The integration strategy used in our model and the resulting preference indication, which is produced as an explicit numeric value. © 2022, Brno University of technology. All rights reserved.

关键词： Analytic hierarchy process

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Improving Use Case Points Techniques to Support Size Estimation of software Projects 2

Improving Use Case Points Techniques to Support Size Estimat...

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2nd IEEE International Maghreb Meeting of the Conference on Sciences and Techniques of Automatic Control and Computer engineering, MI-STA 2022

作者： Sultan, Mohammed Tawill, Tawfig Hagal, Mohamed Elakeili, Salwa University of Benghazi Faculty of Information Technology Department of Software Engineering Benghazi Libya Libyan International Medical University Faculty of Information Technology Department of Software Engineering Benghazi Libya

ISBN: (数字)9781665479189

ISBN: (纸本)9781665479189

There are many different ways to size estimate of software projects. However, software developers always have problems in choosing the right method for their projects. The Use Case Points (UCP) is among these common methods, but there is still some complexity in using them in a way that greatly contributes to obtaining accurate estimates. This paper presents an improvement of the UCP method, whereby an activity diagram is used and adapted and a weighting mechanism is developed. The improved method 'Merging use case points (M-UCP)' will contribute to reducing the complexity of the traditional UCP method in the estimation process. In addition, a case study is introduced to test the refined method, and the results showed that the method performed better in comparison with previous methods in size estimating software development. © 2022 IEEE.

关键词： Merging

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Exploration and Practice of Collaborative Education Mechanism for software engineering Education in the New Era:Take School of information and software engineering of UESTC as an Example

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计算机教育 2025年第3期 95-102页

作者： Linpeng Zhong Yili Li Xueying Yang the School of Information and Software Engineering University of Electronic Science and Technology of ChinaChengdu610054China JIC Trust Co. Ltd.Chengdu610041China

Building a collaborative education mechanism,improving students’engineering practice and innovation abilities,and cultivating software engineering innovation talents that meet industry needs are of great significance for fully implementing the“Excellent Engineer Education and Training Program”of the Ministry of Education and achieving the goal of building a strong engineering education *** School of information and software engineering of the University of Electronic Science and technology of China(UESTC)has been thoroughly studying and implementing XI Jinping’s thought on socialism with Chinese characteristics and the spirit of the 20th CPC National *** school has steadfastly promoted the Project of Nurturing the Soul of the New *** school has taken moral education as its core,deeply explored the resources of“all staff,throughout the process,in all aspects”,and constructed and implemented the collaborative education *** efforts have laid a solid foundation for cultivating excellent talents in software engineering in the new era.

关键词： software engineering Collaborative education Talent cultivation School-enterprise cooperation

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Dynamic Routing of Multiple QoS-Required Flows in Cloud-Edge Autonomous Multi-Domain Data Center Networks

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Computers, Materials & Continua 2024年第2期78卷 2287-2308页

作者： Shiyan Zhang Ruohan Xu Zhangbo Xu Cenhua Yu Yuyang Jiang Yuting Zhao School of Computer Science(National Pilot Software Engineering School) Beijing University of Posts and TelecommunicationsBeijing100876China College of Computer Science and Technology Tianjin UniversityTianjin300072China Institute of Artificial Intelligence Nankai UniversityTianjin300071China College of Information Science and Engineering East China University of Science and TechnologyShanghai200237China

The 6th generation mobile networks(6G)network is a kind of multi-network interconnection and multi-scenario coexistence network,where multiple network domains break the original fixed boundaries to form connections and *** this paper,with the optimization objective of maximizing network utility while ensuring flows performance-centric weighted fairness,this paper designs a reinforcement learning-based cloud-edge autonomous multi-domain data center network architecture that achieves single-domain autonomy and multi-domain *** to the conflict between the utility of different flows,the bandwidth fairness allocation problem for various types of flows is formulated by considering different defined reward *** the tradeoff between fairness and utility,this paper deals with the corresponding reward functions for the cases where the flows undergo abrupt changes and smooth changes in the *** addition,to accommodate the Quality of Service(QoS)requirements for multiple types of flows,this paper proposes a multi-domain autonomous routing algorithm called LSTM+*** a Long Short-Term Memory(LSTM)layer in the actor and critic networks,more information about temporal continuity is added,further enhancing the adaptive ability changes in the dynamic network *** LSTM+MADDPG algorithm is compared with the latest reinforcement learning algorithm by conducting experiments on real network topology and traffic traces,and the experimental results show that LSTM+MADDPG improves the delay convergence speed by 14.6%and delays the start moment of packet loss by 18.2%compared with other algorithms.

关键词： Multi-Domain data center networks autonomous routing

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CEMA-LSTM:Enhancing Contextual Feature Correlation for Radar Extrapolation Using Fine-Grained Echo Datasets

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Computer Modeling in engineering & Sciences 2023年第4期135卷 45-64页

作者： Zhiyun Yang Qi Liu HaoWu Xiaodong Liu Yonghong Zhang School of Computer and Software Engineering Research Center of Digital ForensicsMinistry of EducationNanjing University of Information Science and TechnologyNanjing210044China School of Computing Edinburgh Napier UniversityEdinburghEH105DTUK School of Automation Nanjing University of Information Science TechnologyNanjing210044China

Accurate precipitation nowcasting can provide great convenience to the public so they can conduct corresponding arrangements in advance to deal with the possible impact of upcoming heavy *** relevant research activities have shown their concerns on various deep learning models for radar echo extrapolation,where radar echo maps were used to predict their consequent moment,so as to recognize potential severe convective weather ***,these approaches suffer from an inaccurate prediction of echo dynamics and unreliable depiction of echo aggregation or dissipation,due to the size limitation of convolution filter,lack of global feature,and less attention to features from previous *** address the problems,this paper proposes a CEMA-LSTM recurrent unit,which is embedded with a Contextual Feature Correlation Enhancement Block(CEB)and a Multi-Attention Mechanism Block(MAB).The CEB enhances contextual feature correlation and supports its model to memorize significant features for near-future prediction;the MAB uses a position and channel attention mechanism to capture global features of radar *** practical radar echo datasets were used involving the FREM and CIKM 2017 *** quantification and visualization of comparative experimental results have demonstrated outperformance of the proposed CEMA-LSTMover recentmodels,e.g.,PhyDNet,MIM and PredRNN++,*** particular,compared with the second-rankedmodel,its average POD,FAR and CSI have been improved by 3.87%,1.65%and 1.79%,respectively on the FREM,and by 1.42%,5.60%and 3.16%,respectively on the CIKM 2017.

关键词： Radar echo extrapolation attention mechanism long short-term memory deep learning

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