检索结果-内蒙古大学图书馆

31st International Conference on electrical engineering, ICEE 2023

作者： Mirhadi, Salma Soleimani, Shamsi Shariaty College Technical and Vocational University Department. of Electrical and Computer Engineering Tehran Iran Iran University of Science and Technology Department of Electrical Engineering Tehran Iran

ISBN: (纸本)9798350312560

This paper focuses on designing a sharp roll-off band-pass equal power divider based on the concept of the substrate integrated plasmonic waveguide (SIPW). It is composed of a SIPW at the input that splits into two half-mode SIPWs (HSIPW) at the outputs. Both SIPW and HSIPW consist of slots etched on the top metallic layer of substrate integrated waveguide (SIW) and the half-mode SIW, respectively, to support the spoof surface plasmon polariton (SSPP). Low and high cut-off frequencies can be independently tuned by the parameters of the SIW and SSPP sections, respectively. A prototype of the proposed power divider was fabricated and tested to verify the presented design. The simulated and the measured results show that the electromagnetic waves are split equally between output ports within the passband and are prohibited from propagating in the out-of-band rejection with sharp attenuation. © 2023 IEEE.

关键词： Substrate integrated waveguides

来源：评论

学校读者我要写书评

暂无评论

Transformative Trends in Reinforcement Learning: From Deep Q-Learning to Real-World Applications 2

Transformative Trends in Reinforcement Learning: From Deep Q...

引用

2nd International Conference on Disruptive Technologies, ICDT 2024

作者： Mani, Chandra Sharma, Tarun Kumar Yadav, Kanchan Gupta, Divya Raj Kumar Goel Institute of Technology Computer Science & Engineering UP Ghaziabad India Abes Engineering College Department of Computer Applications UP Ghaziabad India Gla University Department of Electrical Engineering UP Mathura India Miet Department of Bca UP Meerut India

ISBN: (纸本)9798350371055

Reinforcement studying (RL) is a type of machine studying that maximizes an agent's cumulative praise in an environment. As such, it has been more and more used to address a ramification of sequential selection-making issues successfully. Currently, there were most important breakthroughs within the RL space that have led to expanded research activity and the development of several novel techniques and packages. Those transformative traits include deep learning, model-free exploration, off-policy gaining knowledge of hierarchical techniques, meta-gaining knowledge of multi-agent training, deep reinforcement learning (DRL), and transfer learning. These new strategies to RL allow for the development of more efficient and powerful algorithms, which in flip allow more a hit education and alertness of reinforcement mastering marketers in lots of one of a kind domain names. Similarly, those additives of RL permit faster, more flexible, and stronger schooling for RL marketers. As a result, RL is rapidly turning into a part of many one of a kind areas of studies that require powerful choice-making systems, inclusive of robotics, herbal language processing, and healthcare. © 2024 IEEE.

关键词： Environment Healthcare Hierarchical Reinforcement Strategies

来源：评论

学校读者我要写书评

暂无评论

Novel Ransomware Hiding Model Using HEVC Steganography Approach

引用

computers, Materials & Continua 2022年第1期70卷 1209-1228页

作者： Iman Almomani Aala AlKhayer Walid El-Shafai Security Engineering Lab Computer Science DepartmentPrince Sultan UniversityRiyadh11586Saudi Arabia Computer Science Department King Abdullah II School for Information TechnologyThe University of Jordan11942Jordan Department of Electronics and Electrical Communications Engineering Faculty of Electronic EngineeringMenoufia UniversityMenouf32952Egypt

Ransomware is considered one of the most threatening *** solutions have focused mainly on discriminating ransomware by analyzing the apps themselves,but they have overlooked possible ways of hiding ransomware apps and making them difficult to be detected and then ***,this paper proposes a novel ransomware hiding model by utilizing a block-based High-Efficiency Video Coding(HEVC)steganography *** main idea of the proposed steganography approach is the division of the secret ransomware data and cover HEVC frames into different *** that,the Least Significant Bit(LSB)based Hamming Distance(HD)calculation is performed amongst the secret data’s divided blocks and cover ***,the secret data bits are hidden into the marked bits of the cover HEVC frame-blocks based on the calculated HD *** main advantage of the suggested steganography approach is the minor impact on the cover HEVC frames after embedding the ransomware while preserving the histogram attributes of the cover video frame with a high *** is due to the utilization of an adaptive steganography cost function during the embedding *** proposed ransomware hiding approach was heavily examined using subjective and objective tests and applying different HEVC streams with diverse resolutions and different secret ransomware apps of various *** obtained results prove the efficiency of the proposed steganography approach by achieving high capacity and successful embedding process while ensuring the hidden ransomware’s undetectability within the video *** example,in terms of embedding quality,the proposed model achieved a high peak signal-to-noise ratio that reached 59.3 dB and a low mean-square-error of 0.07 for the examined HEVC ***,out of 65 antivirus engines,no engine could detect the existence of the embedded ransomware app.

关键词： Ransomware embedding steganography HEVC LSB hamming distance applications apk stego security confidentiality

来源：评论

学校读者我要写书评

暂无评论

Hotel Information System Management Audit Using COBIT 2019 - APO12 2

Hotel Information System Management Audit Using COBIT 2019 -...

引用

2nd International Conference for Innovation in Technology, INOCON 2023

作者： Utamajaya, Joy Nashar Supangat, Suhono Harso Gaol, Ford Lumban Ranti, Benny BINUS University BINUS Graduate Program School of Information System Jakarta Indonesia Bandung Institute of Technology School of Electrical Engineering and Informatic Bandung Indonesia Bina Nusantara University Computer Science Department BINUS Graduate Program Computer Science Jakarta Indonesia University of Indonesia Computer Science Department Faculty of Computer Science Depok Indonesia

ISBN: (纸本)9798350320923

In general, public or private organizations or companies have used information-based technology as a support to improve business performance to be more effective and efficient in order to achieve a company's business goals. Given the large contribution of information technology in the application of hotel applications as a supporting information system, it is a vital system that must avoid risks that can hinder and cause harm to the hotel management business processes. Therefore, it is necessary to carry out risk management using the COBIT 5 framework to manage possible risks that may occur based on the APO12 (Manage Risk) domain. From the evaluation results of the data obtained through observation and interviews as well as the calculation of the results of the questionnaire based on 6 APO12 subdomains, the results of the risk management level capability assessment in hotel applications are still at level 3 or have reached the level of established process with the target to be achieved at level 4 resulting in a gap of 1 level. Based on the results obtained, it is necessary to propose recommendations that can be used by hotels in improving the application of information technology risk management so that in the future it can achieve the expected target level so that the APO12 level of capability can increase and become more optimal. © 2023 IEEE.

关键词： Risk management

来源：评论

学校读者我要写书评

暂无评论

Full-Duplex ISAC-Enabled D2D Underlaid Cellular Networks: Joint Transceiver Beamforming and Power Allocation

引用

IEEE Transactions on Cognitive Communications and Networking 2025年

作者： Jiang, Tao Jin, Ming Guo, Qinghua Liu, Yinhong Yao, Junteng Ningbo University Faculty of Electrical Engineering and Computer Science Ningbo315211 China University of Wollongong School of Electrical Computer and Telecommunications Engineering WollongongNSW2522 Australia

Integrating device-to-device (D2D) communication into cellular networks can significantly reduce the transmission burden on base stations (BSs). Besides, integrated sensing and communication (ISAC) is envisioned as a key feature in future wireless networks. In this work, we consider a full-duplex ISAC-based D2D underlaid system, and propose a joint beamforming and power allocation scheme to improve the performance of the coexisting ISAC and D2D networks. To enhance spectral efficiency, a sum rate maximization problem is formulated for the full-duplex ISAC-based D2D underlaid system, which is non-convex. To solve the non-convex optimization problem, we propose a successive convex approximation (SCA)-based iterative algorithm and prove its convergence. Numerical results are provided to validate the effectiveness of the proposed scheme with the iterative algorithm, demonstrating that the proposed scheme outperforms state-of-the-art ones in both communication and sensing performance. © 2015 IEEE.

关键词： Convex optimization

来源：评论

学校读者我要写书评

暂无评论

Interpretable Graph Convolutional Network for Alzheimer's Disease Diagnosis using Multi-Modal Imaging Genetics

Interpretable Graph Convolutional Network for Alzheimer's Di...

引用

2023 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2023

作者： Zhou, Houliang Zhang, Yu He, Lifang Shen, Li Chen, Brian Y. Lehigh University Computer Science and Engineering PA United States Lehigh University Bioengineering and Electrical and Computer Engineering PA United States University of Pennsylvania Biostatistics Epidemiology and Informatics PA United States

ISBN: (纸本)9798350337488

Integrating brain images and genetic data provides a great opportunity to discover potential biomarkers for neurological disorder diagnosis. However, learning genetic information and brain network dysfunction remains a challenging task. In this paper, we propose an interpretable multi-modal imaging and genetic graph convolution network (GCN) for Alzheimer's disease diagnosis. Our genetic network uses hierarchical GCN to mimic a gene ontology-based graph of biological processes and learn the information flow in this graph. In parallel, our imaging network uses a sparse interpretable GCN with node and edge importance probabilities to learn the brain network from multi-modal images. After multi-modal fusion, the final representation guided by a cluster-based consistency constraint is used to predict the disease-related clinical measures. We evaluate our method on the Alzheimer's Disease Neuroimaging Initiative (ADNI) database. Our result shows that our imaging-genetics framework achieves superior prediction performance compared to all state-of-the-art methods. The interpretation demonstrated that the salient SNPs, and salient regions interpreted by important probabilities were significantly correlated with AD-related clinical symptoms, and considerably important for developing novel biomarkers. The code is available at https://***/Houliang-Zhou/IG-GCN. © 2023 IEEE.

关键词： Graph convolutional network imaging genetics multi-modality neuroimaging sparse interpretation

来源：评论

学校读者我要写书评

暂无评论

Implementation of AI Collaboration in IOT-Enabled Systems for Better Response 4

Implementation of AI Collaboration in IOT-Enabled Systems fo...

引用

4th IEEE International Conference on Advance Computing and Innovative Technologies in engineering, ICACITE 2024

作者： Paul, M. Mano Raja Nagar, Mayank Rajan, T. Surulivel Badhoutiya, Arti Singh, K. Ranjith Choubey, Abhishek Nehru Institute of Engineering and Technology Department of Electrical and Electronic Engineering T.N India Ies College of Technology Department of Computer Science & Engineering M.P. Bhopal India Prince Shri Venkateshwara Padmavathy Engineering College Department of Mechanical Engineering TN India Gla University Department of Electrical Engineering Mathura India Karpagam Academy of Higher Education Department of Computer Science India Sreenidhi Institute of Science and Technology ghatkesar Hyderabad Yamnampet India

ISBN: (纸本)9798350360165

Artificial Intelligence (AI)-driven flexible methods play a crucial part in saving resources within the world of Internet about Things (IoT)-enabled smart healthcare devices. The tiny size and wireless data sharing capabilities of Body networked sensors (BSNs) have gained significant attention in current medical media technologies. The long-term feasibility of an effective health system hangs on the high vitality economy, communication dependability, and longer battery lives of personal sensing devices. Addressing the necessity to improve sensor-based wearable methods in BSNs across collecting information, healthcare tracking, and analysis, this work presents key advances. Firstly, a groundbreaking framework is suggested to simultaneously improve energy efficiency, storage lifetime, and dependability for smart and interactive healthcare. Secondly, the study proposes an Adaptive Transmission Info Rate (ATDR) method, improving energy usage by changing the active duration of the sense node over the continually changing wireless channel. Additionally, an Adaptable Routing System (SARA) is built, adding a dynamic origin routing system for an efficient in terms of energy and quickest path, breaking from conventional navigation methods. The trial setting uses real-time datasets, showing widespread and cost-effective treatment through smart devices. The results suggest that the proposed methods beat standards in terms of magnified energy savings, improved reliability, and extended battery lifetime for handheld devices. © 2024 IEEE.

关键词： Body sensor networks

来源：评论

学校读者我要写书评

暂无评论

An Artificial Heart System for Testing and Evaluation of Cardiac Pacemakers

引用

computers, Materials & Continua 2022年第12期73卷 6269-6287页

作者： Martin Augustynek Jan Kubicek Jaroslav Thomas Marek Penhaker Dominik Vilimek Michal Strycek Ondrej Sojka Antonino Proto Department of Cybernetics and Biomedical Engineering Faculty of Electrical Engineering and Computer ScienceVSB-Technical University of Ostrava17.Listopadu 15Ostrava–Poruba70800Czech Republic

The usability assessment of a pacemaker is a complex task where the dedicated programmer for testing programmed algorithms is *** paper provides the outcomes of development and complex testing of the artificial cardiac system to evaluate the pacemaker’s *** this work,we used the modular laboratory platform ELVIS II and created graphical user interface in LabVIEW programming *** electrical model of the heart allows signals generation(right atrium,right ventricle)and the monitoring of the stimulation *** LabVIEW user interface allows to set the parameters of the generated signals and the simulation of the cardiac rhythm disorders as well as the monitoring and visualization of the pacemaker behavior in *** results demonstrate the capability of proposed system to evaluate the paced and sensed *** proposed solution allows the scientists to test the behavior of any cardiac pacemaker for its pre-programmed settings and pacing *** addition,the proposed system can simulate various disorders and test cardiac pacemakers in different working modes.

关键词： Artificial heart cardiac conduction system electrical cardiac stimulation pacemaker

来源：评论

学校读者我要写书评

暂无评论

An Empirical Analysis on Spatial Reasoning Capabilities of Large Multimodal Models

An Empirical Analysis on Spatial Reasoning Capabilities of L...

引用

2024 Conference on Empirical Methods in Natural Language Processing, EMNLP 2024

作者： Shiri, Fatemeh Guo, Xiao-Yu Far, Mona Golestan Yu, Xin Haffari, Gholamreza Li, Yuan-Fang Department of Data Science & AI Monash University Australia Australian Institute for Machine Learning University of Adelaide Australia School of Electrical Engineering and Computer Science University of Queensland Australia

ISBN: (纸本)9798891761643

Large Multimodal Models (LMMs) have achieved strong performance across a range of vision and language tasks. However, their spatial reasoning capabilities are under-investigated. In this paper, we construct a novel VQA dataset, Spatial-MM, to comprehensively study LMMs' spatial understanding and reasoning capabilities. Our analyses on object-relationship and multi-hop reasoning reveal several important findings. Firstly, bounding boxes and scene graphs, even synthetic ones, can significantly enhance LMMs' spatial reasoning. Secondly, LMMs struggle more with questions posed from the human perspective than the camera perspective about the image. Thirdly, chain of thought (CoT) prompting does not improve model performance on complex multi-hop questions involving spatial relations. Lastly, our perturbation analysis on GQA-spatial reveals that LMMs are much stronger at basic object detection than complex spatial reasoning. We believe our new benchmark dataset and in-depth analyses can spark further research on LMMs spatial reasoning. © 2024 Association for Computational Linguistics.

关键词： Computational linguistics

来源：评论

学校读者我要写书评

暂无评论

Intent-Guided Trajectory Prediction for E-Scooter Riders and Bicyclists 27

Intent-Guided Trajectory Prediction for E-Scooter Riders and...

引用

27th IEEE International Conference on Intelligent Transportation Systems, ITSC 2024

作者： Zhang, Zhengming Ding, Zhengming Chen, Yaobin Chien, Stanley Li, Lingxi Sheroy, Rini Domeyer, Joshua Tian, Renran School of Industrial Engineering Purdue University United States Tulane University Department of Computer Science United States School of Electrical and Computer Engineering Purdue University United States United States North Carolina State University Department of Industrial and Systems Engineering United States

ISBN: (纸本)9798331505929

The rapidly increasing popularity of micromobility devices, such as e-scooters and bicycles, in urban environments underscores the critical need for advanced trajectory prediction models to enhance road safety and facilitate seamless integration into intelligent transportation systems. This study introduces a novel approach to predicting the movements of bicyclists and e-scooter riders by leveraging a unique dataset that combines bird's-eye and egocentric views, collected from diverse urban settings across the United States. Employing state-of-the-art deep learning techniques, our model significantly outperforms traditional linear and polynomial regression models in terms of Average Displacement Error (ADE) and Final Displacement Error (FDE), demonstrating superior accuracy in forecasting the trajectories of vulnerable road users. Furthermore, our approach incorporates cognitive annotations to predict crossing intentions, enriching the model's predictive capabilities. The findings highlight the potential of our method to contribute to the development of proactive safety measures and collision avoidance systems, ultimately fostering safer urban mobility landscapes for all road users. © 2024 IEEE.

关键词： Prediction models

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：