检索结果-内蒙古大学图书馆

International Conference on computer and Applications (ICCA)

作者： Wadha Alyammahi Saed Alrabaee Dept. of Computer and Network Engineering Dept. of Information Systems and Security College of Information Technology United Arab Emirates University AlAin UAE

Responding to inefficiencies in traditional classroom management methods, this paper proposes an innovative, technology-driven approach to enhance educational processes. Central to our proposal is the development of a facial recognition system designed for efficient student attendance tracking, thus eliminating time-consuming roll calls. Additionally, we plan to introduce interactive whiteboard features to enrich classroom dynamics between students and faculty. However, our approach extends beyond mere attendance tracking and interactive learning. We aim to launch a program Learning Outcomes (PLO) and Course Learning Outcomes (CLO) mapper. Leveraging Natural Language Processing (NLP) techniques, this tool will auto-align CLOs with PLOs, facilitating a more efficient curriculum development process. We also suggest implementing a feature powered by YOLOv5 to monitor and assess student attention in the classroom. Our comprehensive suite of tools is designed to equip educators with resources to refine their teaching strategies and boost student learning outcomes. By integrating facial recognition for attendance, interactive whiteboard features, NLP-based CLO/PLO mapping, and attention monitoring, we aspire to provide a robust solution enabling educators to adapt their teaching methods to students’ unique needs.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Adaptation of PAM4 Serial Link Transceiver Equalizers using Eye Diagram Monitoring

Adaptation of PAM4 Serial Link Transceiver Equalizers using ...

引用

2021 International Conference on Microelectronics, ICM 2021

作者： Mubarak, Hisham M. Elkhweski, Mohsen F. Yehia, Yehia Hamdy El-Kharashi, M. Watheq Zaki, Ahmed M. Ain Shams University Dept. of Computer and Systems Engineering Cairo Egypt Ain Shams University Dept. of Electronics and Communications Engineering Cairo Egypt

ISBN: (纸本)9781665408394

This paper studies the possible gains from using a single adaptation algorithm in tuning multiple equalizers in a Pulse Amplitude Modulation 4-level (PAM4) serial link transceiver. A comparison with the typical approach of using an algorithm for tuning one of the many equalizers used in transceivers from the perspective of bit error rate (BER) is carried out. This work also presents a method of measuring the eye diagram using an Eye Diagram Monitor (EDM) to continuously feed a Figure of Merit (FOM) to the adaptation algorithm to update equalizers' settings. A demonstration on deploying our algorithm in adapting three major building blocks of a typical PAM4 transceiver is presented, showing its effectiveness in comparison with adapting only one equalizer at receiver (Rx) side. Simulation results show improvement in eye diagram measures in terms of achieving an eye height of 326 mV and a width of 97 ps compared to 67 mV and 12 ps respectively in case of adapting only one equalizer in Rx. © 2021 IEEE.

关键词： Pulse amplitude modulation

来源：评论

学校读者我要写书评

暂无评论

Thermal Satellite Imagery Analysis and Emissivity Characteristics for the Prediction of Oil Reservoirs Existence 7

Thermal Satellite Imagery Analysis and Emissivity Characteri...

引用

7th International Conference on Space Science and Communication, IconSpace 2021

作者： Tarish, Ali Badri Sali, Aduwati Mohamed Shariff, Abdul Rashid Hanafi, Marsyita Ismail, Alyani Mohammed, Intehaa A. Upm Dept. Of Computer & Communication Systems Engineering Serdang Selangor Malaysia Upm WiPNET Research Centre Dept. Of Computer & Communication Systems Engineering Serdang Selangor Malaysia Upm Dept. Of Biological & Agricultural Engineering Serdang Selangor Malaysia Uob College Of Education For Pure Sciences Dept. Of Physics Babylon Iraq

ISBN: (纸本)9781665425230

Simultaneous transformation of natural land cover contributes significantly to changing the surface phenomena making accurate forecasting difficult. Ground surveys would permit Land Use Land Cover (LULC) classification, but they are burdensome, expensive, and time-consuming and lacks accuracy in the exploration for all target areas at the same time, which highlights satellite imagery an evident and preferred alternative. A new mathematical method has been used for calculating the highest and lowest Land Surface Temperature (LST) to improve model accuracy for a particular location and detect oil seep-induced alteration from Landsat Data Continuity Mission (LDCM). Two sites within different patterns were chosen to represent a diversity of thermal anomalies positions in the study area. The results show that there are no traces of oil in either zone 1 lies which in the Kanoya province and zone 2 located east of the coast of Kagoshima which is overlooking the Pacific Ocean. In the end, the night-time scenes of the Thermal Infrared Sensor (TIRS) achieve a high gain of the thermal image with radiance 3.2-12.65 (Watts/m2 sr μm). Moreover, the analysis of the (TIRS) image is an optimal explanation for geomorphology and subsurface geology in southern Japan via the potentiality of the simulators set. © 2021 IEEE.

关键词： Satellite imagery

来源：评论

学校读者我要写书评

暂无评论

Effect of climatological variations on Eco-efficiency of Wastewater Treatment Plants operation

Effect of climatological variations on Eco-efficiency of Was...

引用

International Conference on Emerging Technologies and Factory Automation (ETFA)

作者： Silvana Revollar Montse Meneses Mario Francico Pastora Vega Ramón Vilanova Dept. Computer Science and Automation University of Salamanca Salamanca Spain Dept. Telecommunications and Systems Engineering Universitat Autonoma Barcelona Barcelona Spain

This study addresses the effect of climate conditions on treatment effectiveness and energy consumption in a conventional Wastewater Treatment Plant (WWTP). It has been observed that winter temperatures below 12°C produce a deterioration of pollutants elimination and energy efficiency in the activated sludge process (ASP). Then, in this work, variations of climatological conditions are considered, and ASP control parameters are modified, to evaluate their effect into the eco-efficiency of the WWTP operation. The eco-efficiency of the operation is analyzed from a plant-wide perspective considering the effects on different units of the plant. The Benchmark Simulation Model 2 (BSM2), that represents a typical WWTP, is selected for simulations. Introduction of seasonal temperature effects on ASP control strategy are contemplated for future work.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Improving ATSC 3.0 Channel Estimation using AI Techniques

Improving ATSC 3.0 Channel Estimation using AI Techniques

引用

IEEE International Symposium on Broadband Multimedia systems and Broadcasting (BMSB)

作者： E. Iradier I. Bilbao J. Montalban P. Angueira S-I. Park S. Kwon N. Hur Dept. Computer Languages and Systems UPV/EHU Bilbao Spain Dept. of Communications Engineering UPV/EHU Bilbao Spain Dept. Electronics Technology UPV/EHU Bilbao Spain ETRI Daejeon South Korea

ISBN: (数字)9798350364262

ISBN: (纸本)9798350364279

Over the past several years, ATSC has continued to develop new technologies that can be integrated into the standard, making it a leading innovator in the broadcasting industry. The spectrum efficiency of the waveforms and coding, combined with new infrastructure based on the integration of a core network, has proposed ATSC 3.0 as a strong candidate for implementing new multimedia-related use cases. However, the requirements for certain use cases (e.g., AR/VR, 360-degree video) are very harsh, for instance, regarding the signal quality needed at the receiver end. A set of ATSC 3.0 physical layer configurations cannot be implemented with the current channel estimation and equalization solutions. Consequently, Artificial Intelligence (AI) is presented as the necessary enabler for these cases. Specifically, AI has demonstrated better use of the knowledge of the propagation channel than traditional processing methods. Therefore, this paper aims to propose AI-based channel estimation techniques for ATSC. Specifically, two solutions are proposed. The first is a super-resolution estimation enhancer, whereas the second performs the interpolation process within the AI. The results show that both techniques improve the performance of current processing techniques by around one order of magnitude.

关键词： Interpolation Superresolution Channel estimation Estimation Broadcasting Proposals Multimedia communication

来源：评论

学校读者我要写书评

暂无评论

Modular Cyber-Physical System for Smart Industry: A case study on energy load disaggregation

Modular Cyber-Physical System for Smart Industry: A case stu...

引用

2023 International Conference on Control, Automation and Diagnosis, ICCAD 2023

作者： Alves, Jorge Sousa, Pedro Matos, Barbara Mendes, Jerome Souza, Francisco Matias, Tiago University of Coimbra Institute of Systems and Robotics Department of Electrical and Computer Engineering Coimbra3030-290 Portugal Oncontrol Technologies Coimbra3000-108 Portugal Radboud University Dept. Analytical Chemistry & Chemometrics AJ Nijmegen6525 Netherlands

ISBN: (纸本)9798350347074

Constant changes have marked the industry, and cyber-physical systems have offered great potential in Industry 4.0 on production processes, allowing the integration of computational intelligence and real-time processing. In this context, this paper proposes a modular hardware system for industrial applications according to a plug & play concept. The proposed system comprises a processing module (mPP) and specific expansion modules (mEXs). The mPP is responsible for administrating the network/communication. It collects data from the mEXs, extracts features, processes the features through artificial intelligence, and interacts with the production process. The mEXs comprise sensors, conditioning circuits, and an analog/digital converter. They are responsible for acquiring field signals and their transmission to the mPP. The proposed system is designed for operating with electrical protection, allowing reliable operation of the mPP and mEXs. For evaluating and demonstrating the proposed system in a real scenario, we applied it in a case study for non-intrusive energy load disaggregation. © 2023 IEEE.

关键词： Cyber Physical System

来源：评论

学校读者我要写书评

暂无评论

Device Identification using Network Traces in a Smart Home IoT Network

Device Identification using Network Traces in a Smart Home I...

引用

International Symposium on Advanced Networks and Telecommunication systems (ANTS)

作者： Jwngfu Brahma Rakesh Matam Nikumani Choudhury Dept. of Computer Science & Engineering Indian Institute of Information Technology Guwahati India Dept. of Computer Science & Information Systems Birla Institute of Technology & Science Hyderabad India

Device identification is a crucial aspect of securing networks, particularly in the context of the Internet of Things (IoT), where a vast variety of devices are interconnected. Recently, there has been significant research on developing techniques for identifying IoT devices based on their unique characteristics, called as device fingerprints. These techniques use machine learning algorithms, which can effectively learn and classify devices based on their features. However, device identification remains a challenging task due to the diversity of IoT devices and the constant evolution of their characteristics. This paper presents our attempt at device identification by analyzing distinct device characteristics observed during network communication and using different machine learning techniques.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Fully Geometric Panoramic Localization

arXiv

引用

arXiv 2024年

作者： Kim, Junho Jeong, Jiwon Kim, Young Min Dept. of Electrical and Computer Engineering Seoul National University Korea Republic of Interdisciplinary Program in Artificial Intelligence and INMC Seoul National University Korea Republic of Dept. of Electrical Engineering Stanford University United States

We introduce a lightweight and accurate localization method that only utilizes the geometry of 2D-3D lines. Given a pre-captured 3D map, our approach localizes a panorama image, taking advantage of the holistic 360◦ view. The system mitigates potential privacy breaches or domain discrepancies by avoiding trained or hand-crafted visual descriptors. However, as lines alone can be ambiguous, we express distinctive yet compact spatial contexts from relationships between lines, namely the dominant directions of parallel lines and the intersection between nonparallel lines. The resulting representations are efficient in processing time and memory compared to conventional visual descriptor-based methods. Given the groups of dominant line directions and their intersections, we accelerate the search process to test thousands of pose candidates in less than a millisecond without sacrificing accuracy. We empirically show that the proposed 2D-3D matching can localize panoramas for challenging scenes with similar structures, dramatic domain shifts or illumination changes. Our fully geometric approach does not involve extensive parameter tuning or neural network training, making it a practical algorithm that can be readily deployed in the real world. Project page including the code is available through this link: https://***/fgpl/. © 2024, CC BY.

关键词： Neural networks

来源：评论

学校读者我要写书评

暂无评论

Online Learning and Assessment of Theoretical Knowledge in Electrical engineering Courses for Part-Time Education

Online Learning and Assessment of Theoretical Knowledge in E...

引用

Electrical engineering Faculty Conference (BulEF)

作者： Yoana Ivanova Simona Filipova-Petrakieva dept. Computer Systems Technical University of Sofia Sofia Bulgaria dept. Fundamentals of Electrical Engineering Technical University of Sofia Sofia Bulgaria

Nowadays our normal life is unavailable without the Internet. Through the web, the same information is accessed from different places in the world. Both desktop computers and various types of mobile devices, including phones, can be used. Recently, e-learning as a model for knowledge learning has become more popular. This became a necessity after the global COVID pandemic. In some aspects, online learning is even more effective than in person learning as it allows students to study at their own speed. In the present paper, a Web-based application for learning theoretical knowledge in a science subject field is developed. Lectures and sample quiz questions to assess the knowledge are implemented therein. In case of an incorrect answer to the test questions, the application refers the learner to the place in the theory corresponding to the question. Two roles are implemented in the application – administrator and user (learner). The following technologies - HTML, CSS, JavaScript, ***, MongoDB, Bootstrap, jQuery И PUG, are used to develop the application. Desktop and mobile versions of the application are proposed. It is directed only at learning and testing theoretical knowledge, in particular in the different courses in the field of Electrical engineering. It can be used to simplify some of the part-time learning education for students (lectures, tutorials, course assessments, and projects). The respective labs will be performed on-site - in laboratories. The final assessment of the studied subject can also be done online. It will save transportation time for both learners and teachers. And, time is money.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Predicting Optimal Placement of Electric Vehicle Charge Stations Using Machine Learning: A Case Study in Glasgow, UK

Predicting Optimal Placement of Electric Vehicle Charge Stat...

引用

Iranian Conference on Renewable Energy and Distributed Generation (ICREDG)

作者： Arash Mousaei Yahya Naderi dept. Computer and Electrical Engineering University of Tabriz Tabriz Iran Sustainable Energy Systems Department Ricardo AEA Glasgow U.K

ISBN: (数字)9798331525132

ISBN: (纸本)9798331525149

Given the reduced costs of establishing Electric Vehicle (EV) charging stations and the need to improve their accessibility, it is essential for EV developers and governments to identify optimized locations for new stations. This study presents a predictive modeling approach using Machine Learning to determine the optimal sites for EV charging stations in Glasgow. While various machine learning methods are available for this purpose, we focus on Linear Regression due to its simplicity and high accuracy. By analyzing a comprehensive dataset of 207 AC charging stations-including factors latitude, longitude, population density, number of kinds of plugs, total number of plugs, price per kWh, traffic conditions, distance to the nearest station, Air Quality Index (AQI), and land value - we aim to provide urban planners and policymakers with actionable insights. The study evaluates the performance of the Linear Regression model in predicting the most suitable locations for charging stations. The results indicate that the proposed model achieved impressive accuracy, with R 2 , Mean Absolute Error (MAE), and Mean Squared Error (MSE) values of 0.89, 0.05, and 0.08, respectively. This research contributes to the ongoing efforts in urban planning for sustainable mobility by offering a data-driven methodology for EV infrastructure development.

关键词： Accuracy Atmospheric modeling Linear regression Machine learning Predictive models Charging stations Electric vehicle charging Indexes Population density Plugs

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：