检索结果-内蒙古大学图书馆

A Novel Method for Estimate the Structure Design Complication of Multi-Agents Based systems 2

A Novel Method for Estimate the Structure Design Complicatio...

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

作者： Elmarzaki, Howayda A. Abdelaziz, Tawfig M. Elakeili, Salwa Maatuk, Abdelsalam University of Benghazi Dept. Software Engineering Department Benghazi Libya Libyan International Medical University Dept. Information System Department Benghazi Libya

ISBN: (数字)9781665479189

ISBN: (纸本)9781665479189

Making a design decision in architecture design (AD) is challenging, especially when the system has many components and interactions. The complication is evident in the design phase of agents-based systems that are assigned various responsibilities, according to most works of literature. The study's purpose is to assist system designers in developing effective architectures for agents systems that are not complicated and easy to understand. Complex Task Measurement is a novel estimation of entanglement between agents' tasks presented in this paper (CTM). This method is built on the use-case point perspective, however with several adjustments to meet the demands of agents. Before making a design decision, this innovative measurement can be utilized to estimate the architecture design. The findings will be put to use in a variety of situations. As a case study, the research will be applied to the book recommendations system, and the results will be presented after the method has been implemented. © 2022 IEEE.

关键词： Design

来源：评论

学校读者我要写书评

暂无评论

An inframarginal analysis based resource allocation method in distributed computing

An inframarginal analysis based resource allocation method i...

引用

International Symposium on Parallel and Distributed Processing with Applications, ISPA

作者： Liu, Jun Wang, En Ze Qiao, Jian Zhong Lin, Shu Kuan Department of Information Science and Engineering Northeastern University Shenyang China Key Laboratory of Software System Application and Development Generic Technology Shenyang China

ISBN: (纸本)9780769541907

the key of distributed computing is to fully utilize computing resources. However, the efficiency of distributed computing can always be affected by volatility of available nodes and uncertainty of network environment. In order to enhance resource allocation efficiency in distributed computing, this paper presents an inframarginal analysis based resource allocation method, which distributes computing task to the node with more comparative advantage carrying on the task. Simulation results proved that it is effective on resource allocation in the distributed computing environment. © 2010 IEEE.

关键词： Resource allocation

来源：评论

学校读者我要写书评

暂无评论

Implementation of Convolutional Neural Network Method for Classification of Diseases in Tomato Leaves 4

Implementation of Convolutional Neural Network Method for Cl...

引用

4th International Conference on Informatics and Computing, ICIC 2019

作者： Widiyanto, Sigit Fitrianto, Rizqy Wardani, Dini Tri Department of Computer Science Gunadarma University Jakarta Indonesia Department of Software Engineering Gunadarma University Jakarta Indonesia Department of Information System Gunadarma University Jakarta Indonesia

ISBN: (纸本)9781728122076

Diseases in plants are a problem that often occurs in agriculture. The disease can be caused by pests or maintenance errors. This resulted in a decrease in agricultural production. The decline in production has resulted in a decline in economic yields produced by farmers. Diseases of tomato plants often appear on the leaves. Diseases of tomato leaves have various characteristics. This causes difficulty in identifying diseases automatically. This study aims to identify diseases in leaf images in full automatically without having to define the characteristics and process of segmentation. The method used in this study is Convolutional Neural Networks (CNN). In this study 5 types of leaf disease were used with each type of disease consisting of 1000 image data. This study has successfully identified disease in leaf images automatically with an accuracy of 96.60%. By using the method Confusion Matrix based on the results, it training can count four types of measurements, namely accuracy, precision, recall and F1-score by producing an average value of 98.00%. © 2019 IEEE.

关键词： Image recognition

来源：评论

学校读者我要写书评

暂无评论

Transparency Paths - Documenting the Diversity of User Perceptions 21

Transparency Paths - Documenting the Diversity of User Perce...

引用

29th ACM Conference on User Modeling, Adaptation and Personalization, UMAP 2021

作者： Giunchiglia, Fausto Kleanthous, Styliani Otterbacher, Jahna Draws, Tim Department of Information Engineering and Computer Science University of Trento Italy Open University of Cyprus and Cyens Centre of Excellence Cyprus Web Information System and Department of Software Technology Tu Delft Netherlands

ISBN: (纸本)9781450383677

We are living in an era of global digital platforms, eco-systems of algorithmic processes that serve users worldwide. However, the increasing exposure to diversity online - of information and users - has led to important considerations of bias. A given platform, such as the Google search engine, may demonstrate behaviors that deviate from what users expect, or what they consider fair, relative to their own context and experiences. In this exploratory work, we put forward the notion of transparency paths, a process by which we document our position, choices, and perceptions when developing and/or using algorithmic platforms. We conducted a self-reflection exercise with seven researchers, who collected and analyzed two sets of images;one depicting an everyday activity, "washing hands,"and a second depicting the concept of "home."Participants had to document their process and choices, and in the end, compare their work to others. Finally, participants were asked to reflect on the definitions of bias and diversity. The exercise revealed the range of perspectives and approaches taken, underscoring the need for future work that will refine the transparency paths methodology. © 2021 ACM.

关键词： Transparency

来源：评论

学校读者我要写书评

暂无评论

Integrated Boolean Sensing and Event Radius Model on Data Aggregation in Wireless Sensor Networks 11

Integrated Boolean Sensing and Event Radius Model on Data Ag...

引用

11th International Conference on information Technology, ICIT 2023

作者： Adawy, Mohammad Almomani, Omar Tahboush, Muhannad Althunibat, Ahmad The World Islamic Sciences and Education University Department of Information System and Networks Jordan Al-Zaytoonah University of Jordan Department of Software Engineering Amman11733 Jordan

ISBN: (纸本)9798350320060

In Wireless Sensor Network (WSN), sensor nodes are densely and arbitrarily deployed in monitoring areas and most of them generate redundant data due to sense same events in the overlapping area. Thus, they spent more of energy from their limited batteries that reduce the chance of its survival and continuity. This paper integrates two mathematical models namely Boolean Sensing Model and Event Radius Model in the cluster WSN. The proposed model analyses an event coverage area to compute minimum number of active source nodes required to transmit data events to CH node rather than all nodes within cluster. OMNeT++ simulation tool has been using to performs experimental study and obtain the result. The simulation result shows that 4 source nodes are become active and transmit their data to CH node whereby 12 source nodes turn off and become sleep in the cluster. In addition, the proposed model reduces the source nodes energy consumption about 80 % comparing with LEACH scheme. © 2023 IEEE.

关键词： Sensor nodes

来源：评论

学校读者我要写书评

暂无评论

Managing the software process with a software process improvement tool in a small enterprise

Managing the software process with a software process improv...

引用

作者： García, Iván Pacheco, Carla Mendoza, Eloy Calvo-Manzano, Jose A. Cuevas, Gonzalo Feliu, Tomás San Postgraduate Department Technological University of the Mixtec Region Mexico Languages and Information System and Software Engineering Department Faculty of Computer Science Polytechnic University of Madrid Spain

Top-down process improvement approaches provide a high-level model of what the process of a software development organization should be. Such models are based on the consensus of a designated working group on how software should be developed or maintained. They are very useful in that they provide general guidelines on where to start improving, and in which order. However, the majority of them have only worked in scenarios within large companies. We aim to help small software development organizations to adopt an iterative approach by providing a Process Improvement Web-based Tool (SysProVal). This paper presents research into the proposal that a small organization may use this tool to define and implement a set of project management practices that can be strengthened using the CMMI-DEV 1.2 model as reference. Copyright © 2010 John Wiley & Sons, Ltd.

关键词： software design

来源：评论

学校读者我要写书评

暂无评论

Trusted Polarimetric Feature Fusion for Polsar Image Classification

Trusted Polarimetric Feature Fusion for Polsar Image Classif...

引用

2023 SAR in Big Data Era, BIGSARDATA 2023

作者： Han, Fangzhou Zhang, Lamei Dong, Hongwei Harbin Institute of Technology Department of Information Engineering Harbin150001 China Institute of Software Chinese Academy of Sciences Science & Technology on Integrated Information System Laboratory Beijing China

ISBN: (纸本)9798350326239

Benefiting from the rapid advancements in Deep Learning (DL), data-driven features exhibit remarkable separability in PolSAR image classification. However, data-driven features are challenging to interpret and susceptible to resolution and noise. On the contrary, polarimetric features based on the target decomposition not only have high robustness, but also has physical interpretability. Consequently, researchers have begun to explore ways to integrate both types of features to achieve enhanced performance, which typically concat the data-driven features and polarimetric features directly. However, polarimetric features are not stable in separability, which is because the inherent defects of the target decomposition algorithm. To mitigate the adverse effects of low-quality features, this paper proposes a trusted polarimetric feature fusion (TPFF). The new paradigm calculates the confidence of features and employs a novel feature fusion method. The proposed method has been tested on the EMISAR Foulum dataset, with experimental results demonstrating improved classification performance and robustness. © 2023 IEEE.

关键词： Image classification

来源：评论

学校读者我要写书评

暂无评论

Verification of workflow nets with transition conditions

引用

Journal of Zhejiang University-Science C(Computers and Electronics) 2012年第7期13卷 483-509页

作者： Zhao-xia WANG Jian-min WANG Xiao-chen ZHU Li-jie WEN School of Software Tsinghua UniversityBeijing 100084China Department of Computer Science and Technology Tsinghua UniversityBeijing 100084China MOE Key Laboratory for Information System Security Tsinghua UniversityBeijing 100084China National Laboratory for Information Science and Technology Tsinghua UniversityBeijing 100084China SDepartment of Logistical Information&Engineering Logistical Engineering UniversityChongqing 400016China

Workflow management is concerned with automated support for business *** management systems are driven by process models specifying the tasks that need to be executed,the order in which they can be executed,which resources are authorised to perform which tasks,and data that is required for,and produced by,these *** workflow instances may run over a sustained period of time,it is important that workflow specifications be checked before they are *** verification is usually concerned with control-flow dependencies only;however,transition conditions based on data may further restrict possible choices between *** this paper we extend workflow nets where transitions have concrete conditions associated with them,called *** then demonstrate that we can determine which execution paths of a WTC-net that are possible according to the control-flow dependencies,are actually possible when considering the conditions based on ***,we are able to more accurately determine at design time whether a workflow net with transition conditions is sound.

关键词： Workflow nets Transition condition Verification Process model

来源：评论

学校读者我要写书评

暂无评论

A Lightweight Deep Learning-Based Model for Tomato Leaf Disease Classification

引用

Computers, Materials & Continua 2023年第12期77卷 3969-3992页

作者： Naeem Ullah Javed Ali Khan Sultan Almakdi Mohammed S.Alshehri Mimonah Al Qathrady Eman Abdullah Aldakheel Doaa Sami Khafaga Department of Software Engineering University of Engineering and TechnologyTaxila4400Pakistan Department of Computer Science Faculty of PhysicsEngineeringand Computer ScienceUniversity of HertfordshireHatfieldAL109ABUK Department of Computer Science College of Computer Science and Information SystemNajran UniversityNajran55461Saudi Arabia Departments of Information Systems College of Computer Science and Information SystemsNajran UniversityNajran61441Saudi Arabia Department of Computer Sciences College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityRiyadh11671Saudi Arabia

Tomato leaf diseases significantly impact crop production,necessitating early detection for sustainable *** Learning(DL)has recently shown excellent results in identifying and classifying tomato leaf ***,current DL methods often require substantial computational resources,hindering their application on resource-constrained *** propose the Deep Tomato Detection Network(DTomatoDNet),a lightweight DL-based framework comprising 19 learnable layers for efficient tomato leaf disease classification to overcome *** Convn kernels used in the proposed(DTomatoDNet)framework is 1×1,which reduces the number of parameters and helps in more detailed and descriptive feature extraction for *** proposed DTomatoDNet model is trained from scratch to determine the classification success rate.10,000 tomato leaf images(1000 images per class)from the publicly accessible dataset,covering one healthy category and nine disease categories,are utilized in training the proposed DTomatoDNet *** specifically,we classified tomato leaf images into Target Spot(TS),Early Blight(EB),Late Blight(LB),Bacterial Spot(BS),Leaf Mold(LM),Tomato Yellow Leaf Curl Virus(YLCV),Septoria Leaf Spot(SLS),Spider Mites(SM),Tomato Mosaic Virus(MV),and Tomato Healthy(H).The proposed DTomatoDNet approach obtains a classification accuracy of 99.34%,demonstrating excellent accuracy in differentiating between tomato *** model could be used on mobile platforms because it is lightweight and designed with fewer *** farmers can utilize the proposed DTomatoDNet methodology to detect disease more quickly and easily once it has been integrated into mobile platforms by developing a mobile application.

关键词： CNN deep learning DTomatoDNet tomato leaf disease classification smart agriculture

来源：评论

学校读者我要写书评

暂无评论

Automated User Experience (UX) Testing for Mobile Application: Strengths and Limitations

International Journal of Interactive Mobile Technologies

引用

International Journal of Interactive Mobile Technologies 2022年第4期16卷 30-45页

作者： Abuaddous, Hayfa. Y. Saleh, Ashraf Mousa Enaizan, Odai Ghabban, Fahad Al-Badareen, Anas Bassam Faculty of Computer Sciences and Informatics Amman Arab University Amman Jordan Department of Management Information System University of Tabuk Tabuk Saudi Arabia College of Computer Science and Engineering Taibah University Medina Saudi Arabia Department of Software Engineering Aqaba University of Technology Aqaba Jordan

User Experience (UX) evaluation has a significant importance for any interactive application. Mobile device applications have additional limitations to convey good user experiences (UX) due to the usage and features of mobile devices in ubiquitous computing contexts. There are a lot of automated tools available for evaluating, such applications particularly developed for Android and iOS. Automated UX evaluation provides a number of strengths which are able to overcome the limitations of non-automated (moderated) counterparts. Automated UX evaluation is regarded as unexplored field, especially when it is adopted for the UX evaluation of complex mobile application. Despite these, automated UX evaluation tools are unexplored and should only be used in coupling with traditional UX evaluation techniques. Hence, this study aims to discuss the literature in automated UX evaluation and to highlight the UX measurements that merit further investigation. This paper presents the most fre-quently used automated UX evaluation tools for mobile applications. Therefore, the study analyzes existing automated UX tools and frameworks and identifies which UX attributes and measurements of automated UX evaluation are likely to be of use in future research. Moreover, we discuss the strengths and limitations of automated UX evaluation methods for mobile applications. Finally, the paper provides an overview of automated UX evaluation techniques and tools. It also presents the strengths and limitations for comparing various evaluation methods. © 2022,International Journal of Interactive Mobile Technologies. All Rights Reserved.

关键词： Automation

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：