检索结果-内蒙古大学图书馆

30th International Conference on Software, Telecommunications and Computer Networks, SoftCOM 2022

作者： Kovacevic, Ivan Marovic, Mihael Gros, Stjepan Vukovic, Marin University of Zagreb Faculty of Electrical Engineering and Computing Zagreb Croatia

ISBN: (数字)9789532901177

ISBN: (纸本)9789532901177

Web sites and services are probably the most used digital channels today, from ordinary web-sites to cloud services that enable many aspects of our digital lives. Due to the popularity of the web, it is also a very common target of cyber attacks that typically focus either on web application itself or on the underlying server infrastructure. Regarding the highest level of the stack - the web application - there are many available frameworks and content management systems (CMS) for rapid web development, from the ones more oriented to developers (e.g. Spring, Django) to the ones that focus on end users (e.g. Wordpress, Joomla). Typical problem with using a framework or a CMS is the need for constant care of its security, which is done by regular patching of the systems. When going a bit lower towards the web server, one can observe the security related features that might or might not be implemented on the server, such as header security (e.g. cookie related flags, force of encryption etc.). The state of all the mentioned parameters can well be obtained by web crawlers that can browse the web and collect specific information about web applications, sites and servers that run them. In this paper, we propose a model for estimating the possibility of web compromise based on the historical crawler collected data. Due to large amounts of data that can be gathered from the web sites and, especially, indication of compromise of particular web sites, we can determine what factors might lead to a compromise in near future. In this sense, we propose a method for analyzing web site data with respect to known compromises from historical data. We build a model that describes a web site's security state and use the method for estimating how secure the modeled web is and how likely it would become a victim of compromise. © 2022 University of Split, FESB.

关键词： Websites

来源：评论

学校读者我要写书评

暂无评论

Deep Forest-Based Fall Detection in Internet of Medical Things Environment

引用

Computer Systems Science & engineering 2023年第6期45卷 2377-2389页

作者： Mohamed Esmail Karar Omar Reyad Hazem Ibrahim Shehata College of Computing and Information Technology Shaqra UniversityP.O.Box 33Shaqra11961Saudi Arabia Department of Industrial Electronics and Control Engineering Faculty of Electronic EngineeringMenoufia UniversityMenouf32952Egypt Computer Science Department Faculty of Computers and Artificial IntelligenceSohag UniversitySohag82524Egypt Department of Computer and Systems Engineering Faculty of EngineeringZagazig UniversityZagazig44519Egypt

This article introduces a new medical internet of things(IoT)framework for intelligent fall detection system of senior people based on our proposed deep forest *** cascade multi-layer structure of deep forest classifier allows to generate new features at each level with minimal hyperparameters compared to deep neural ***,the optimal number of the deep forest layers is automatically estimated based on the early stopping criteria of validation accuracy value at each generated *** suggested forest classifier was successfully tested and evaluated using a public SmartFall dataset,which is acquired from three-axis accelerometer in a *** includes 92781 training samples and 91025 testing samples with two labeled classes,namely non-fall and *** results of our deep forest classifier demonstrated a superior performance with the best accuracy score of 98.0%compared to three machine learning models,i.e.,K-nearest neighbors,decision trees and traditional random forest,and two deep learning models,which are dense neural networks and convolutional neural *** considering security and privacy aspects in the future work,our proposed medical IoT framework for fall detection of old people is valid for real-time healthcare application deployment.

关键词： Elderly population fall detection wireless sensor networks internet of medical things deep forest

来源：评论

学校读者我要写书评

暂无评论

Integration of Voice and Handwritten Tests Analysis for Enhanced Detection of Parkinson's Disease using Machine Learning 8

Integration of Voice and Handwritten Tests Analysis for Enha...

引用

8th International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud), I-SMAC 2024

作者： Mohamed Ziyadh, M. Avinash, Bavisetti Siva Sreekumar, K. Amaran, Sibi Srm Institute of Science and Technology Computing Technologies College of Engineering and Technology Kattankulathur SRM Nagar Tamilnadu Chennai603203 India Srm Institute of Science and Technology Computing Technologies College of Engineering and Technology Faculty of Engineering and Technology Kattankulathur SRM Nagar Tamilnadu Chennai603203 India

ISBN: (纸本)9798350376425

This research introduces a novel approach to improving Parkinson's disease (PD) detection by combining voice and handwriting analysis. By leveraging machine learning (ML) and deep learning (DL) techniques, this hybrid model aims to enhance diagnostic accuracy. Traditional approaches have focused on either voice or handwriting analysis independently. However, this study demonstrates the potential of integrating both modalities to achieve superior results. Preliminary findings suggest that the combined analysis of voice and handwriting data using ML and DL techniques yields higher accuracy compared to single-modality approaches. This study outlines the methodology, challenges, and potential implications of this hybrid approach for early PD diagnosis. By combining voice and handwriting analysis, this research offers a promising avenue for improving the detection and management of Parkinson's disease. © 2024 IEEE.

关键词： Contrastive Learning

来源：评论

学校读者我要写书评

暂无评论

Proposed intelligence systems based on digital Forensics: Review paper

引用

Materials Today: Proceedings 2023年 80卷 2647-2651页

作者： Ismael Sahib, Hussein Qahatan AlSudani, Mustafa Hasan Ali, Mohammed Qassim Abbas, Haydar Moorthy, Kohbalan Mundher Adnan, Myasar Faculty of Computer Science and Information Technology UniversitiTun Hussein Onn Malaysia Computer Techniques Engineering Department Faculty of Information Technology Imam Ja'afar Al-sadiq University Najaf Iraq Faculty of Computer Systems & Software Engineering Universiti Malaysia Pahang Kuantan Malaysia Islamic University Najaf Iraq Faculty of Engineering School of Computing Universiti Teknologi Malaysia 81310 Johor Bahru Malaysia

The field of information security, in general, has seen shifts a traditional approach to an intelligence system. Moreover, an increasing of researchers to focus on propose intelligence systems and framework based on the forensic case studies because of the limitations of traditional methods such as analysis intensive data manually, intelligence visualization to make the evidence more understandable and intelligence system for store data. However, most of these intelligence systems are still facing different limitations. Furthermore, the primary goal of this work analysis popular intelligence system that was used based on forensic. Moreover, propose new algorithms and hybrid model which it's achieved good results in dif-ferent other fields to develop the forensic systems in the future. © 2021

关键词： Digital forensics

来源：评论

学校读者我要写书评

暂无评论

A Simple Method for Characterization Supercapacitor using Constant Current Charging 6

A Simple Method for Characterization Supercapacitor using Co...

引用

6th Iraqi International Conference on engineering Technology and its Applications, IICETA 2023

作者： Nordin, N.N.S. Fahmi, M.I. Liew, H.F. Jabbar, M.A. Mustafa, W.A. Alkhayyat, Ahmed Universiti Malaysia Perlis Faculty of Technology Electrical Engineering Perlis Pauh Malaysia Universiti Malaysia Perlis Faculty of Electrical Engineering Technology Malaysia Universiti Malaysia Perlis Advanced Computing Faculty of Electrical Engineering Technology Malaysia Malaysia The Islamic University Faculty of Engineering Najaf Iraq

ISBN: (纸本)9798350303339

Supercapacitors are high-energy electrochemical capacitors with high power density, long cycling life, fast charge-discharge response, and greater capacitance. In this paper, a new result using voltage measurement full charging for supercapacitors using the constant current charging method is presented. The detailed test procedure for 188 farads of supercapacitors manufactured by Eaton was observed in the laboratory to develop a dynamic model of a supercapacitor under a constant charging current of 6A. The model includes R-C branches built with a consideration of linear and nonlinear factors, variation temperature and effects of leakage current. The experiment was conducted with simple laboratory equipment like a constant current supply, voltage data logger and computer. The computational time required for the parameter calculation is by applying parameter identification modelling techniques tools in MATLAB/Simulink. Results were verified by analysis of comparison experimental with a simulation of the derived equivalent circuit. The longest respond time charging during the 42 V. © 2023 IEEE.

关键词： Parameter estimation

来源：评论

学校读者我要写书评

暂无评论

Self-Assessment of Media Literacy Skills of Undergraduate engineering Students 45

Self-Assessment of Media Literacy Skills of Undergraduate En...

引用

45th Jubilee International Convention on Information, Communication and Electronic Technology, MIPRO 2022

作者： Haralovic, M. Petrovic, J. Pale, P. University of Zagreb Faculty of Electrical Engineering and Computing Zagreb Croatia

ISBN: (纸本)9789532331035

Media literacy is usually defined as the ability to be aware, access, evaluate, and produce media content. Additionally, it also includes the ability to critically consider not just the content, but the intentions and values of those who produce and distribute media. In today's online world polluted by fake news and biased media, the importance of media literacy is indisputable. The aim of the research is to examine the media literacy of first-year undergraduate engineering students, as well as students' perceptions and behavior related to some media literacy aspects. Survey results provide an insight into students' perceptions of their media habits and suggest students believe they have a decent knowledge of media literacy-related concepts, as well as skills and confidence needed for handling information found online. © 2022 Croatian Society MIPRO.

关键词： Students

来源：评论

学校读者我要写书评

暂无评论

Review of Different Optimization Techniques for Charging and Market Participation of Electric Vehicles

Review of Different Optimization Techniques for Charging and...

引用

2022 International Conference on Electrical, Computer, Communications and Mechatronics engineering, ICECCME 2022

作者： Gržanić, Mirna Canuder, Tomislav Pandžić, Hrvoie Hrga, Alen University of Zagreb Faculty of Electrical Engineering and Computing Zagreb Croatia

ISBN: (数字)9781665470957

ISBN: (纸本)9781665470957

The transition towards carbon neutral power system comes with an increasing level of uncertainty, both on the production side from renewable energy sources (RES) but also from the consumption side such as electric vehicles (EV s), Broad penetration of EV s in the power system with uncontrolled charging will lead to undesired voltage and current limits violations, security issues and the unnecessary high cost of network reinforcement. To prevent voltage unbalance, harmonics, congestion and to reduce network losses, smart charging of EV s is necessary. Controllable charging can help in mitigating network issues and in the same time increase the quality of supply through ancillary service provision, such as voltage and frequency control. Different optimization techniques are used in the literature (direct optimization, heuristics, game theory, and machine learning) based on the type and complexity of the problem, desired computational time and the need for the global optimal solution. In the line with this, the contribution of this paper is to provide insight in different optimization techniques used for aggregation and smart EV charging with a focus on the different group types of optimization algorithms and benefits from the controlled operation of EV in the power system and different types of markets (energy market, reserve market, balancing market). © 2022 IEEE.

关键词： Game theory

来源：评论

学校读者我要写书评

暂无评论

The impact of network and social context on quality of experience for competitive multiplayer virtual reality games 13

The impact of network and social context on quality of exper...

引用

2022 Game Systems Workshop, GameSys 2022 at the 13th ACM Multimedia Systems Conference, MMSys 2022

作者： Slivar, Ivan Vlahovic, Sara Silic, Matko Skorin-Kapov, Lea Suznjevic, Mirko University Of Zagreb Faculty Of Electrical Engineering And Computing Zagreb Croatia

ISBN: (纸本)9781450393812

With market trends showing an increased move towards multi-player gaming scenarios, key research challenges include evaluating the impact of various factors on player Quality of Experience (QoE). Further moves towards increased use of immersive media technologies are opening up new challenges related to the QoE assessment of multiplayer VR games, enabling rich social experiences and immersion levels that go beyond traditional gaming. In this paper we report on a subjective user study involving 32 participants grouped into pairs and taking part in two competitive VR games. We investigate the impact of various networks (4G, 5G, and Ethernet) and latency levels on overall QoE. We further analyze the impact of social context on the reported results of the conducted QoE study, investigating to what extent playing with friends/strangers impacts player experience. Findings provide novel insights with respect to methodological challenges and participant recruitment related to conducting QoE studies for competitive multiplayer VR games. © 2022 ACM.

关键词： 5G mobile communication systems

来源：评论

学校读者我要写书评

暂无评论

Smooth Motion Planning of an Omnidirectional Mobile Robot in Dynamic Environments

Smooth Motion Planning of an Omnidirectional Mobile Robot in...

引用

2022 International Conference on Electrical, Computer, Communications and Mechatronics engineering, ICECCME 2022

作者： Šelek, Ana Seder, Marija Department of Control and Computer Engineering Faculty of Electrical Engineering and Computing Zagreb Croatia

ISBN: (数字)9781665470957

ISBN: (纸本)9781665470957

In this paper, a real-time smooth motion planning method for a four mecanum wheeled omnidirectional mobile robot in dynamic environments that generates a smooth collision-free trajectory is proposed. The method employs a graph-search-based path planning algorithm and a smoothing technique based on clothoids. It is suitable for real-time operation due to its computational simplicity and allows fast path replanning in case the robot encounters unknown and dynamic obstacles. Such a path is feasible for holonomic mobile robots since it does not contain sharp turns so the energy consumption is reduced. Our method is compared to the reactive model predictive control scheme in simulations. The comparison showed advantages of the proposed method in the reduced task execution time, path length, cumulative replanning time, and smooth velocity profile. © 2022 IEEE.

关键词： Motion planning

来源：评论

学校读者我要写书评

暂无评论

YOLOCSP-PEST for Crops Pest Localization and Classification

引用

Computers, Materials & Continua 2025年第2期82卷 2373-2388页

作者： Farooq Ali Huma Qayyum Kashif Saleem Iftikhar Ahmad Muhammad Javed Iqbal Department of Software Engineering University of Engineering and TechnologyTaxila47050Pakistan Department of Computer Science&Engineering College of Applied Studies&Community ServiceKing Saud UniversityRiyadh11362Saudi Arabia Department of Information Technology Faculty of Computing and Information TechnologyKing Abdulaziz UniversityJeddah21589Saudi Arabia Department of Computer Science University of Engineering and TechnologyTaxila47050Pakistan

Preservation of the crops depends on early and accurate detection of pests on crops as they cause several diseases decreasing crop production and quality. Several deep-learning techniques have been applied to overcome the issue of pest detection on crops. We have developed the YOLOCSP-PEST model for Pest localization and classification. With the Cross Stage Partial Network (CSPNET) backbone, the proposed model is a modified version of You Only Look Once Version 7 (YOLOv7) that is intended primarily for pest localization and classification. Our proposed model gives exceptionally good results under conditions that are very challenging for any other comparable models especially conditions where we have issues with the luminance and the orientation of the images. It helps farmers working out on their crops in distant areas to determine any infestation quickly and accurately on their crops which helps in the quality and quantity of the production yield. The model has been trained and tested on 2 datasets namely the IP102 data set and a local crop data set on both of which it has shown exceptional results. It gave us a mean average precision (mAP) of 88.40% along with a precision of 85.55% and a recall of 84.25% on the IP102 dataset meanwhile giving a mAP of 97.18% on the local data set along with a recall of 94.88% and a precision of 97.50%. These findings demonstrate that the proposed model is very effective in detecting real-life scenarios and can help in the production of crops improving the yield quality and quantity at the same time.

关键词： Deep learning classification of pests YOLOCSP-PEST pest detection

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：