检索结果-内蒙古大学图书馆

32nd International Conference on Organization and technology of Maintenance, OTO 2023

作者： Glavaš, Hrvoje Faculty of Electrical Engineering Computer Science and Information Technology Osijek University of Osijek Kneza Trpimira 2b Osijek31000 Croatia

ISBN: (纸本)9783031514937

Infrared thermography is a method of detecting thermal radiation, which is then associated with corresponding temperature values. Infrared thermal infrared cameras, like other measuring devices, must undergo a factory and periodic calibration process. The calibration is performed using blackbodies. This paper analyzes the practical application of the blackbody in the calibration of infrared thermal camera. Two infrared thermal cameras Flir E6 and Hikmicro M30 were calibrated with a Voltcraft IRS -350 blackbody. The calibration results are presented in tabular form, while the effect of the blackbody uncertainty on the overall measurement uncertainty is presented in graphical form. Since blackbodies are prohibitively expensive for most thermographers due to their price, calibration guidelines are provided to users when a blackbody is not available and the accuracy of the camera needs to be verified. © 2024, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Calibration

来源：评论

学校读者我要写书评

暂无评论

Artificial Bee Colony with Cuckoo Search for Solving Service Composition

引用

Intelligent Automation & Soft Computing 2023年第3期35卷 3385-3402页

作者： Fadl Dahan Abdulelah Alwabel Department of Information System College of Computer Engineering and SciencesPrince Sattam bin Abdulaziz UniversityAl-Kharj11942Saudi Arabia Department of Computer Sciences Faculty of Computing and Information Technology AlturbahTaiz UniversityTaiz9674Yemen Department of Computer Sciences College of Computer Engineering and SciencesPrince Sattam bin Abdulaziz UniversityAl-Kharj11942Saudi Arabia

In recent years,cloud computing has provided a Software As A Service(SaaS)platform where the software can be reused and applied to fulﬁll compli-cated user demands according to speciﬁc Quality of Services(QoS)*** user requirements are formulated as a workﬂow consisting of a set of ***,many services may satisfy the functionality of each task;thus,searching for the composition of the optimal service while maximizing the QoS is formulated as an NP-hard *** work will introduce a hybrid Artiﬁcial Bee Colony(ABC)with a Cuckoo Search(CS)algorithm to untangle service composition *** ABC is a well-known metaheuristic algorithm that can be applied when dealing with different NP-hard problems with an outstanding record of ***,the ABC suffers from a slow convergence ***,the CS is used to overcome the ABC’s limitations by allowing the abandoned bees to enhance their search and override the local *** proposed hybrid algorithm has been tested on 19 datasets and then compared with two standard algorithms(ABC and CS)and three state-of-the-art swarm-based composition *** addition,extensive parameter study experiments were conducted to set up the proposed algorithm’s *** results indicate that the proposed algorithm outperforms the standard algorithms in the three comparison criteria(bestﬁtness value,averageﬁtness value,and average execution time)overall datasets in 30 different ***,the proposed algorithm also exhibits better performance than the state–of–the–art algorithms in the three comparison criteria over 30 different runs.

关键词： Cloud computing web service composition artiﬁcial bee colony cuckoo search

来源：评论

学校读者我要写书评

暂无评论

Providing an Intelligent Hybrid Routing Method in Wireless Sensor Networks 23th

Providing an Intelligent Hybrid Routing Method in Wireless S...

引用

23rd International Conference on Intelligent Systems Design and Applications, ISDA 2023

作者： Hosseinabadi, Ali Asghar Rahmani Mirkamali, Seyedsaeid Hajiabadi, Mahdi Rohani Abraham, Ajith Department of Computer Science University of Regina Regina Canada Department of Computer Engineering and IT Payame Noor University Tehran Iran Faculty of Computer and Information Technology Engineering Islamic Azad University Qazvin Qazvin Iran School of Computer Science Engineering and Technology Bennett University Uttar Pradesh Greater Noida India

ISBN: (纸本)9783031647758

Optimal energy consumption in Wireless Sensor Networks (WSNs) is important. Previous research has shown that by organizing network nodes into a number of clusters, one can achieve greater energy efficiency leading to longer network life. The WSN is made up of a very large number of sensor nodes that communicate with each other to perform specific tasks. These nodes have limited energy, processing power, and memory. Because the lifetime of the network depends on the brightness of the nodes, the energy consumption of each node is very important. Therefore, we need to find solutions to reduce the energy consumption of the nodes. One way to reduce energy consumption is clustering, many algorithms have been introduced in this field. In this paper, we optimize Particle Swarm Optimization (PSO) algorithm based on fuzzy logic and PSO algorithm. The fitting criterion will be based on the minimum energy consumed by the nodes of the network during each operation period, It leads to a balance in the energy consumption of the headers and, as a consequence, a lengthening of the life of the network. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Fuzzy logic

来源：评论

学校读者我要写书评

暂无评论

Deep Learning Approach for Analysis and Characterization of COVID-19

引用

computers, Materials & Continua 2022年第1期70卷 451-468页

作者： Indrajeet Kumar Sultan S.Alshamrani Abhishek Kumar Jyoti Rawat Kamred Udham Singh Mamoon Rashid Ahmed Saeed AlGhamdi School of Computing Graphic Era Hill UniversityDehradun(UK)India Department of Information Technology College of Computer and Information TechnologyTaif UniversityTaif21944Saudi Arabia School of Computer Science&IT JAIN(to be Deemed University)BangaloreIndia School of Computing Dehradun Institute of TechnologyUttarakhandIndia Department of Computer Engineering Faculty of Science and TechnologyVishwakarma UniversityPuneIndia Department of Computer Engineering College of Computer and Information TechnologyTaif UniversityTaif21944Saudi Arabia

Early diagnosis of a pandemic disease like COVID-19 can help deal with a dire situation and help radiologists and other experts manage human resources more *** a recent pandemic,laboratories perform diagnostics manually,which requires a lot of time and expertise of the laboratorial technicians to yield accurate ***,the cost of kits is high,and well-equipped labs are needed to perform this ***,other means of diagnosis is highly *** is one of the existing methods that finds its use in the diagnosis of *** radiography observes change in Computed Tomography(CT)chest images of patients,developing a deep learning-based method to extract graphical features which are used for automated diagnosis of the disease ahead of laboratory-based *** proposed work suggests an Artificial Intelligence(AI)based technique for rapid diagnosis of COVID-19 from given volumetric chest CT images of patients by extracting its visual features and then using these features in the deep learning *** proposed convolutional neural network aims to classify the infectious and non-infectious SARS-COV2 *** proposed network utilizes 746 chests scanned CT images of 349 images belonging to COVID-19 positive cases,while 397 belong to negative cases of *** experiment resulted in an accuracy of 98.4%,sensitivity of 98.5%,specificity of 98.3%,precision of 97.1%,and F1-score of 97.8%.The additional parameters of classification error,mean absolute error(MAE),root-mean-square error(RMSE),and Matthew’s correlation coefficient(MCC)are used to evaluate our proposed *** obtained result shows the outstanding performance for the classification of infectious and non-infectious for COVID-19 cases.

关键词： Coronavirus covid-19 respiratory infection computed tomography deep neural network

来源：评论

学校读者我要写书评

暂无评论

RS485 Network Design and Maintenance in Food Processing Industry: A Winery Application 1

引用

32nd International Conference on Organization and technology of Maintenance, OTO 2023

作者： Kovačević, Ivana Matić, Tomislav Keser, Tomislav Miling, Robert Faculty of Electrical Engineering Computer Science and Information Technology Osijek University of Osijek Kneza Trpimira 2b Osijek31000 Croatia

ISBN: (数字)9783031514944

ISBN: (纸本)9783031514937

The communication networks are widely in use in every aspect of our life, making our environment compliable to the ever-present IoT oriented technocratic society. Good and quality communication enables reliable and representative data transportation service which provides interoperability of various data-processing systems. Majority of industrial processes have some sort of communication topologies used for interconnection of various subsystems, required by their specific operation principles, and often works in harsh and electrically and mechanically unpleasant environment. Presence of electromagnetic noises, electric discharges, strong and high alternating magnetic fields, mechanical and chemical stresses, also environmentally caused impacts on data transportation scheme, cause data corruption and lowers availability and reliability of such network. This paper deals with the problem of design, implementation and verification of RS485 based communication network for multi-nodal data exchange in winery cellars. The wine cellar represents exceptionally harsh environment in aspects of environmental chemical and electrical related conditions. The paper proposes optimal topology among multi-nodal communication devices for an experimental cellar setup, and develop communication protocol for efficient data exchange. Furthermore, a strategy for successful maintenance is also presented through in-protocol and nodal-oriented topology integration. © 2024, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Wine

来源：评论

学校读者我要写书评

暂无评论

Optimal scheduling of graph states via path decompositions

引用

Physical Review A 2025年第1期111卷 012627-012627页

作者： Samuel J. Elman Jason Gavriel Ryan L. Mann Centre for Quantum Software and Information School of Computer Science Faculty of Engineering and Information Technology University of Technology Sydney NSW 2007 Australia Centre for Quantum Computation and Communication Technology Faculty of Engineering and Information Technology University of Technology Sydney NSW 2007 Australia

We study the optimal scheduling of graph states in measurement-based quantum computation, establishing an equivalence between measurement schedules and path decompositions of graphs. We define the spatial cost of a measurement schedule based on the number of simultaneously active qubits and prove that an optimal measurement schedule corresponds to a path decomposition of minimal width. Our analysis shows that approximating the spatial cost of a graph is NP-hard, while for graphs with bounded spatial cost, we establish an efficient algorithm for computing an optimal measurement schedule.

关键词： Quantum computers

来源：评论

学校读者我要写书评

暂无评论

An Application for Evaluating Proficiency and Expert Knowledge Criteria of information Technologies (IT) Workers with Using Fuzzy Analytic Hierarchy Process

An Application for Evaluating Proficiency and Expert Knowled...

引用

Intelligent and Fuzzy Systems - Intelligence and Sustainable Future Proceedings of the INFUS 2023 Conference

作者： Tunç, Ali Taşdemir, Sakir Uyar, Mehmet Taha Bingöl, Veysel Can Architecht Information Systems Istanbul Turkey Computer Engineering Department Technology Faculty Selcuk University Konya Turkey

ISBN: (纸本)9783031397769

The information technologies (IT) sector has been an area of study whose significance has grown exponentially, taking into account the effects of growing technology and the importance of technology in recent years, taking into account the effects of the pandemic. The widespread use of remote working and hybrid working models in these sectors reveals the importance of making more careful performance evaluations of employees. Human resources are essential in the upkeep, renewal, and development of existing software products, as well as the creation of new ones. Infrastructures and system algorithms created with human impact as the most important resource can be finished on time for project success and in a manner that addresses future needs. This study, it is aimed to rank and monitor the performances of software engineers and analysts working in the software development sector by measuring both their technical skills and personal competencies. The most important items accepted as evaluation criteria in the sector were weighted by experts in their fields using the Fuzzy Analytic Hierarchy Process (Fuzzy AHP) method. It was ensured that these weighted evaluation items had been scored for the people to be measured and results were obtained. In order to evaluate the employees in the roles of analyst and software developer in terms of both talent and technical knowledge, the evaluation of the criteria of the experts with Fuzzy AHP and the weighting of the criteria are shown in tables in the study. Then, newly hired people and interns to be recruited were evaluated by their mentors, and a method that could be useful for tracking their training and development experiences was provided. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Analytic hierarchy process

来源：评论

学校读者我要写书评

暂无评论

Energy Efficiency Enhancement in a Small Industrial Facility 32nd

Energy Efficiency Enhancement in a Small Industrial Facility

引用

32nd International Conference on Organization and technology of Maintenance, OTO 2023

作者： Kljajić, Ružica Kraus, Zorislav Fekete, Krešimir Marić, Predrag Faculty of Electrical Engineering Computer Science and Information Technology Osijek University of Osijek Kneza Trpimira 2b Osijek31000 Croatia

ISBN: (纸本)9783031514937

Small industrial utilities, connected to the distribution grid, can cause various disturbances that need to be eliminated or mitigated. Due to the complexity of the system and the large number of motors, industrial consumers may have problems with the voltage deviations caused by the excessive amount of reactive energy which is a natural consequence of their operation and construction. Since industrial consumers have to pay for both active and reactive power delivered from the grid, the goal is to reduce those costs as well as to reduce feeder loadings. Delivered energy can be reduced by installing compensation devices or by connecting photovoltaic power plant, which would produce active and reactive energy at the point of consumption. This paper analyzes the power flows and voltage conditions of a small industrial facility in three scenarios: the basic scenario, the second scenario with built-in compensation devices and in the third scenario with integrated photovoltaic power plant. For all three scenarios, power flow analysis is performed and results are presented in the form of tables and graphically. © 2024, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Energy efficiency

来源：评论

学校读者我要写书评

暂无评论

AI - Driven CBR and Ontological Integration Framework for Enhancing Breast Cancer Care: Case Study 4

AI - Driven CBR and Ontological Integration Framework for En...

引用

4th International Conference on Robotics, Automation, and Artificial Intelligence, RAAI 2024

作者： Baroud, Shadia Yahya El- Halees, Alaa M. Baraka, Rebhi S. Yahaya, Nor Adnan University Malaysia of Computer Science and Engineering Department of Computing Petaling Jaya Malaysia Islamic University of Gaza Faculty of Information Technology Gaza Palestine

ISBN: (纸本)9798331520038

Breast cancer remains a significant health challenge, particularly in resource-limited settings such as the Gaza Strip. This study introduces a Case-Based Reasoning (CBR) framework, an Artificial Intelligence (AI) approach with broad applicability to building intelligent systems in health sciences domains, designed to enhance BC's diagnostic and treatment capabilities by leveraging historical patient data and clinical expertise. CBR is a reasoning paradigm that relies on specific knowledge from previously solved instances of problems rather than on general rules or models. The proposed framework integrates ontological modeling and semantic similarity measures to improve case retrieval and adaptation processes. This approach supports the formalization of reasoning procedures for collaborative medical acts, particularly in determining the best treatment for diseases and identifying best practices. It not only aids in medical decision-making but also fosters significant collaborations and ensures traceability, which are crucial for the proper deployment of medical applications. Effective information management mechanisms with traceable reasoning are also vital in the fields of epidemiology and public health. The study utilized datasets from 205 medical records collected from A1-Shifa Hospital in Gaza City to evaluate the system's performance. The proposed system comprises an Ontology and several modules for querying, reasoning, diagnosing and recommending treatments. The system achieved an 86% accuracy rate in diagnosing breast cancer and a 75% accuracy rate in recommending treatments. The treatment recommendations were validated by comparing the system's suggestions with those provided by expert oncologists and actual treatments administered to patients. © 2024 IEEE.

关键词： Case based reasoning

来源：评论

学校读者我要写书评

暂无评论

L1Norm Minimization in ISAR Imaging 23

L1Norm Minimization in ISAR Imaging

引用

23rd International Symposium on Electrical Apparatus and Technologies, SIELA 2024

作者： Lazarov, Andon Minchev, Dimitar Nikola Vaptzarov Naval Academy Information Technology Department Varna Bulgaria Burgas Free University Computer Science and Engineering Faculty Burgas Bulgaria

ISBN: (纸本)9798350382365

This work deals with an ISAR (Inverse Synthetic Aperture Radar) image enhancement algorithm using target's sparse image and image's l1 norm minimization. As calculation of l1 norm of two-dimensional (2D) image matrix is too complicated, target's image matrix is resized to one-dimensional (1D) one. According to ISAR theory, the ISAR signal matrix is a Fourier transform of the target's image matrix. Thus, the ISAR signal is obtained one dimensional one while modelling by Fourier transform of a certain target's image column matrix. In the image reconstruction algorithm, 12 norm constrained function and l12 objective function are defined. Simulation experimental results prove functionality of the developed algorithm. © 2024 IEEE.

关键词： Radar imaging

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：