检索结果-内蒙古大学图书馆

arXiv 2024年

作者： Hashim, Fatma A. Mostafa, Reham R. Khurma, Ruba Abu Qaddoura, Raneem Castillo, P.A. Faculty of Engineering Helwan University Egypt University of Sharjah Sharjah27272 United Arab Emirates Department of Information System Faculty of Computers and Information Sciences Mansoura University Mansoura35516 Egypt MEU Research Unit Faculty of Information Technology Middle East University Amman11831 Jordan School of Computing and Informatics Al Hussein Technical University Amman Jordan Department of Computer Engineering Automatics and Robotics University of Granada Granada Spain

Sea Horse Optimizer (SHO) is a noteworthy metaheuristic algorithm that emulates various intelligent behaviors exhibited by sea horses, encompassing feeding patterns, male reproductive strategies, and intricate movement patterns. To mimic the nuanced locomotion of sea horses, SHO integrates the logarithmic helical equation and Levy flight, effectively incorporating both random movements with substantial step sizes and refined local exploitation. Additionally, the utilization of Brownian motion facilitates a more comprehensive exploration of the search space. This study introduces a robust and high-performance variant of the SHO algorithm named mSHO. The enhancement primarily focuses on bolstering SHO’s exploitation capabilities by replacing its original method with an innovative local search strategy encompassing three distinct steps: a neighborhood-based local search, a global non-neighbor-based search, and a method involving circumnavigation of the existing search region. These techniques improve mSHO algorithm’s search capabilities, allowing it to navigate the search space and converge toward optimal solutions efficiently. To evaluate the efficacy of the mSHO algorithm, comprehensive assessments are conducted across both the CEC2020 benchmark functions and nine distinct engineering problems. A meticulous comparison is drawn against nine metaheuristic algorithms to validate the achieved outcomes. Statistical tests, including Wilcoxon’s rank-sum and Friedman’s tests, are aptly applied to discern noteworthy differences among the compared algorithms. Empirical findings consistently underscore the exceptional performance of mSHO across diverse benchmark functions, reinforcing its prowess in solving complex optimization problems. Furthermore, the robustness of mSHO endures even as the dimensions of optimization challenges expand, signifying its unwavering efficacy in navigating complex search spaces. The comprehensive results distinctly establish the supremacy and effic

关键词： Global optimization

来源：评论

学校读者我要写书评

暂无评论

Temporal resolution enhancement in quantum-dot laser neurons due to ground state quenching effects

Temporal resolution enhancement in quantum-dot laser neurons...

引用

Optical Fiber Communication Conference, OFC 2020

作者： Sarantoglou, George Skontranis, Menelaos Bogris, Adonis Mesaritakis, Charis Department of Information and Communication Systems Engineering University of the Aegean Karlovassi-Samos83200 Greece University of West Attica Department of Informatics and Computer Engineering Ag. Spyridonos Egaleo12243 Greece

We present experimental results for an all-optical quantum-dot neuron, biased to a ground-state quenching regime alongside emission from the excited state. This regime, allows reduction of the temporal width of spikes... 详细信息

ISBN: (纸本)9781943580712

关键词： Semiconductor quantum dots

来源：评论

学校读者我要写书评

暂无评论

Security Protection with Dynamic Assigned Address Mechanism in Industrial Control Systems

Security Protection with Dynamic Assigned Address Mechanism ...

引用

2020 ACM International Conference on Intelligent Computing and its Emerging Applications, ICEA 2020

作者： Liu, Chuan-Gang Wu, Chin-Jui Liu, I-Hsien Wu, Chi-Che Li, Jung-Shian Department of Applied Informatics and Multimedia Chia-Nan University of Pharmacy and Science Tainan Taiwan Department of Electrical Engineering Institute of Computer and Communication Engineering National Cheng Kung University Tainan Taiwan

ISBN: (纸本)9781450383042

In recent years, industrial control systems (ICS) are widely used in many occasions, which makes information security of ICS an important issue. This study discusses the communication and management on ICS to make ICS intelligent. We proposed a method to avoid attack of communication, and elaborated the means of our proposed communication in which all communication parties communicate with each other without transmitting IP information. Moreover, as an intelligent ICS, the transmission module we design can detect anomaly in the system and change the transmission rule based on our algorithm, also known as a type of moving target defense. Therefore, we proposed the scheme to improve the transmission security in ICS. The experimental results also show that our scheme can be feasible in ICS. © 2020 ACM.

关键词： Intelligent systems

来源：评论

学校读者我要写书评

暂无评论

Advances in Diffusion Models for Image Data Augmentation: A Review of Methods, Models, Evaluation Metrics and Future Research Directions

arXiv

引用

arXiv 2024年

作者： Alimisis, Panagiotis Mademlis, Ioannis Radoglou-Grammatikis, Panagiotis Sarigiannidis, Panagiotis Papadopoulos, Georgios Th. Department of Informatics and Telematics Harokopio University of Athens Thiseos 70 Attiki AthensGR 17676 Greece Department of Electrical and Computer Engineering University of Western Macedonia Active Urban Planning Zone KozaniGR 50150 Greece K3Y Studentski district Vitosha quarter bl. 9 Sofia City Province SofiaBG 1700 Bulgaria

Image data augmentation constitutes a critical methodology in modern computer vision tasks, since it can facilitate towards enhancing the diversity and quality of training datasets;thereby, improving the performance and robustness of machine learning models in downstream tasks. In parallel, augmentation approaches can also be used for editing/modifying a given image in a context- and semantics-aware way. Diffusion Models (DMs), which comprise one of the most recent and highly promising classes of methods in the field of generative Artificial Intelligence (AI), have emerged as a powerful tool for image data augmentation, capable of generating realistic and diverse images by learning the underlying data distribution. The current study realizes a systematic, comprehensive and in-depth review of DM-based approaches for image augmentation, covering a wide range of strategies, tasks and applications. In particular, a comprehensive analysis of the fundamental principles, model architectures and training strategies of DMs is initially performed. Subsequently, a taxonomy of the relevant image augmentation methods is introduced, focusing on techniques regarding semantic manipulation, personalization and adaptation, and application-specific augmentation tasks. Then, performance assessment methodologies and respective evaluation metrics are analyzed. Finally, current challenges and future research directions in the field are discussed. © 2024, CC BY.

关键词： Semantics

来源：评论

学校读者我要写书评

暂无评论

Enhancing UAV Autonomous Navigation in Indoor Environments Using Reinforcement Learning and Convolutional Neural Networks

Enhancing UAV Autonomous Navigation in Indoor Environments U...

引用

International Symposium on Intelligent Systems and informatics (SISY)

作者： Homayoun Safarpour Motealegh Mahalegi Amirfarhad Farhadi György Molnár Eniko Nagy Obuda University Institute of Mechatronics and Vehicle Engineering Budapest Hungary Department of Computer Engineering Science and Research Branch Islamic Azad University Tehran Iran Apaczai Csere Janos Faculty of Humanities Education and Social Sciences Kando Kalman Faculty of Electrical Engineering Budapest Obuda University Hungary Szechenyi University Gyor Hungary Antal Bejczy Center for Intelligent Robotics John von Neumann Faculty of Informatics Obuda University Budapest Hungary

ISBN: (数字)9798350385601

ISBN: (纸本)9798350385618

In recent years, the number of unmanned aerial vehicle (UAV) applications has increased. However, navigating them indoors is still tricky because no GPS signals are available, and the obstacles constantly change. This study exploits the collaboration between convolutional neural networks (CNNs) and reinforcement learning (RL) to overcome these challenges, improving the level of independence of UAVs in indoor settings. We present a new technique known as potential-based reward shaping, which directly incorporates expert knowledge into the reinforcement learning framework. This technique efficiently addresses the problem of sparse rewards that often hinder learning in conventional RL configurations. In addition, we have created a reflective reinforcement learning agent that systematically assesses its actions to prioritize those that result in the most substantial enhancements. We have extensively evaluated the performance of our method with the High-Definition Indoor Navigation (HDIN) dataset to show that our method continuously outperformed current non-introspective RL techniques in terms of decision-making speed and navigation accuracy in this evaluation. The results show that this new CNN-RL combination is feasible and suggests a scalable method for complex indoor navigation problems.

关键词： Indoor navigation Refining Reinforcement learning Autonomous aerial vehicles Indoor environment Convolutional neural networks Intelligent systems informatics Autonomous robots Global Positioning System

来源：评论

学校读者我要写书评

暂无评论

引用

International Conference of Signal Processing and Intelligent Systems (ICSPIS)

作者： Farzaneh Kazemzadeh Sanaz Afsharian Ali Asghar Safaei Mitra Mirzarezaee Department of Computer Engineering Science and Research branch Islamic Azad University Tehran Iran English department Damavand Branch Islamic Azad University Tehran Iran Department of Medical Informatics Faculty of Medical Sciences Tarbiat Modares University Tehran Iran

ISBN: (纸本)9781665476249

Following the invention of the Internet and its expansion among all the people of the world, many software products, sites, games, and even hardware was presented by scientists, programmers, and manufacturers, whose use today is one of the essential and irreplaceable needs. It has become part of people’s daily lives. Along with all the ways and means of using the Internet, social networks also spread among people with great power and speed. Today, most people are familiar with social networks and use them differently according to their needs. One of the ways to spread information is using social networks. Through social networks, many users can be informed about information such as news, advertisement, and many other things. This diffusion of information among users has been investigated by the problem of influence maximization to provide a solution to spread the diffusion in the social network. JACCIM algorithm, after detecting communities and selecting candidate nodes from overlapping and non-overlapping nodes based on topology criteria including Jaccard coefficient, has selected a set of k nodes. This collection has been able to maximize the diffusion of information in the network. With experiments on the proposed algorithm, comparing it with some other algorithms, and checking the results, the proposed algorithm has shown a significant impact on its execution time.

关键词： Technological innovation Runtime Social networking (online) Network topology Signal processing algorithms Signal processing Software

来源：评论

学校读者我要写书评

暂无评论

Keeping data at the edge of smart irrigation networks: A case study in strawberry greenhouses

arXiv

引用

arXiv 2021年

作者： Angelopoulos, Constantinos Marios Filios, Gabriel Nikoletseas, Sotiris Raptis, Theofanis P. Bournemouth University Poole United Kingdom Department of Computer Engineering and Informatics University of Patras Greece Greece Institute of Informatics and Telematics National Research Council Pisa Italy

Strawberries are widely appreciated for their characteristic aroma, bright red color, juicy texture, and sweetness. They are, however, among the most sensitive fruits when it comes to the quality of the end product. The recent commercial trends show a rising number of farmers who directly sell their products in the market and are more interested in using smart solutions for a continuous control of the factors that affect the quality of the final product. Cloud-based approaches for smart irrigation have been widely used in the recent years. However, the network traffic, security and regulatory challenges, which come hand in hand with sharing the crop data with third parties outside the edge of the network, lead strawberry farmers and data owners to rely on global clouds and potentially lose control over their data, which are usually transferred to third party data centers. In this paper, we follow a three-step methodological approach in order to design, implement and validate a solution for smart strawberry irrigation in greenhouses, while keeping the corresponding data at the edge of the network: (i) we develop a small-scale smart irrigation prototype solution with off-the-shelf hardware and software equipment, which we test and evaluate on different kinds of plants in order to gain useful insights for larger scale deployments, (ii) we introduce a reference network architecture, specifically targeting smart irrigation and edge data distribution for strawberry greenhouses, and (iii) adopting the proposed reference architecture, we implement a full-scale system in an actual strawberry greenhouse environment in Greece, and we compare its performance against that of conventional strawberries irrigation. We show that our design significantly outperforms the conventional approach, both in terms of soil moisture variation and in terms of water consumption, and conclude by critically appraising the costs and benefits of our approach in the agricultural industry. © 2021, CC

关键词： Fruits

来源：评论

学校读者我要写书评

暂无评论

Online algorithms for finding distinct substrings with length and multiple prefix and suffix conditions

arXiv

引用

arXiv 2022年

作者： Leonard, Laurentius Inenaga, Shunsuke Bannai, Hideo Mieno, Takuya Department of Information Science and Technology Kyushu University Japan Department of Informatics Kyushu University Japan M&d Data Science Center Tokyo Medical and Dental University Japan Department of Computer and Network Engineering University of Electro-Communications Japan

Let two static sequences of strings P and S, representing prefix and suffix conditions respectively, be given as input for preprocessing. For the query, let two positive integers k1and k2be given, as well as a string T given in an online manner, such that Tirepresents the lengthi prefix of T for 1 ≤ i ≤ |T|. In this paper we are interested in computing the set ansiof distinct substrings w of Tisuch that k1≤ |w| ≤ k2, and w contains some p ∈ P as a prefix and some s ∈ S as a suffix. More specifically, the counting problem is to output |ansi|, whereas the reporting problem is to output all elements of ansi, for each iteration i. Let σ denote the alphabet size, and for a sequence of strings A, ||A|| = Σu∈A|u|. Then, we show that after O((||P|| + ||S||) log σ )-time preprocessing, the solutions for the counting and reporting problems for each iteration up to i can be output in O (|Ti| log σ ) and O (|Ti| log σ + |ansi|) total time. The preprocessing time can be reduced to O (||P|| +||S||) for integer alphabets of size polynomial with regard to ||P|| + ||S||. Our algorithms have possible applications to network traffic classification. © 2022, CC BY-SA.

关键词： Pattern matching

来源：评论

学校读者我要写书评

暂无评论

Multiple object trackers in opencv: A benchmark

arXiv

引用

arXiv 2021年

作者： Dardagan, Nada Brdanin, Adnan Džigal, Džemil Akagic, Amila Department of Informatics Alpen-Adria-Universität Klagenfurt Klagenfurt am Wörthersee Austria Department of Computer Science and Informatics Faculty of Electrical Engineering University of Sarajevo Sarajevo Bosnia and Herzegovina

Object tracking is one of the most important and fundamental disciplines of computer Vision. Many computer Vision applications require specific object tracking capabilities, including autonomous and smart vehicles, video surveillance, medical treatments, and many others. The OpenCV as one of the most popular libraries for computer Vision includes several hundred computer Vision algorithms. Object tracking tasks in the library can be roughly clustered in single and multiple object trackers. The library is widely used for real-time applications, but there are a lot of unanswered questions such as when to use a specific tracker, how to evaluate its performance, and for what kind of objects will the tracker yield the best results? In this paper, we evaluate 7 trackers implemented in OpenCV against the MOT20 dataset. The results are shown based on Multiple Object Tracking Accuracy (MOTA) and Multiple Object Tracking Precision (MOTP) metrics. Copyright © 2021, The Authors. All rights reserved.

关键词： Security systems

来源：评论

学校读者我要写书评

暂无评论

Analyzing the Impact of Personalization on Fairness in Federated Learning for Healthcare

Analyzing the Impact of Personalization on Fairness in Feder...

引用

IEEE International Conference on Healthcare informatics (ICHI)

作者： Tongnian Wang Kai Zhang Jiannan Cai Yanmin Gong Kim-Kwang Raymond Choo Yuanxiong Guo Department of Information Systems and Cyber Security The University of Texas at San Antonio San Antonio USA School of Biomedical Informatics The University of Texas Health Science Center at Houston Houston USA School of Civil and Environmental Engineering and Construction Management The University of Texas at San Antonio San Antonio USA Department of Electrical and Computer Engineering The University of Texas at San Antonio San Antonio USA

Machine learning (ML) models have the potential to generate biased outcomes, which may exacerbate existing health disparities. With privacy regulations leading to data silos in health data, federated learning (FL) has emerged as a promising solution for this issue by enabling collaborative ML without patient data sharing. Personalization within FL aims to handle performance degradation that arises due to heterogeneous data distributions across organizations. However, the relationship between personalized FL and fairness remains unclear. This paper aims to investigate and analyze the potential impact of personalized FL on fairness for healthcare. Our analysis is expected to have significant implications for fairness in federated learning and healthcare.

关键词：

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：