检索结果-内蒙古大学图书馆

Pulsed Electromagnetic Field Interaction With a Transmission Line: An Analytical Traveling-Wave Approach Based on Reciprocity

引用

IEEE Transactions on Antennas and Propagation 2025年第6期73卷 3783-3791页

作者： Stumpf, Martin Antonini, Giulio Lager, Ioan E. Ekman, Jonas The Czech Republic Lerch Laboratory of em Research Department of Radio Electronics Feec Brno University of Technology Technická Brno3082/12 616 00 Czech Republic Luleå University of Technology Department of Computer Science Electrical and Space Engineering Eislab Luleå971 87 Sweden University of l'Aquila UAq Emc Laboratory Department of Industrial and Information Engineering and Economics L'Aquila671 00 Italy Delft University of Technology Terahertz Sensing Group Faculty of Electrical Engineering Mathematics and Computer Science Delft2628 CD Netherlands

Pulsed electromagnetic (EM) field signal transfer from a general EM source distribution to a transmission line (TL) is analyzed with the aid of Lorentz's reciprocity theorem. In this fashion, the transient voltage induced by the impulsive EM source is expressed through the EM fields as radiated by the TL. These transmitted EM fields are expressed in closed form using an analytical procedure that resembles the Cagniard-DeHoop (CdH) technique. The validity of the proposed reciprocity-based methodology is verified with the aid of an alternative analytical solution describing the EM field signal transfer excited by an impulsive vertical electric dipole (VED). Illustrative numerical examples are presented. © 1963-2012 IEEE.

关键词： Time domain analysis

来源：评论

学校读者我要写书评

暂无评论

Color based Product Sorting Machine using Raspberry Pi 5

Color based Product Sorting Machine using Raspberry Pi

引用

5th International Conference on Smart Electronics and Communication, ICOSEC 2024

作者： Perumal, P. Mathivanan, B. Deepa, K. Sri Ramakrishna Engineering College Department of Computer Science and Engineering Tamil Nadu Coimbatore India Sri Ramakrishna Engineering College Department of Information Technology Tamil Nadu Coimbatore India

ISBN: (纸本)9798331504403

The fruit and candies industries make extensive use of color-based object sorting techniques. This system suggests an image processing technique for identifying color and classifying objects. Once the sweets have been recognized, they are sorted into bins or baskets using a mechanism. We employ a camera with electrical circuitry and a three-bin sorting system to show this method. The system uses a Raspberry Pi connected to a controller circuit. The controller circuit's camera, which is connected to it, can identify the color of a small item in front of it. With a motor, an object is placed into the camera chamber. A signal is given to the sorting system after the type has been determined, and the sorter system then utilizes a motor to move the arranged tubes towards a certain region. A feeder then pushes the item towards the sorting tubs, and the feeder carries in the following item. The action details are transferred from the cloud server platform to the IOT server to track the number of items sorted by section. Results prove that the proposed system classifies and sorts the objects effectively. © 2024 IEEE.

关键词： Bins

来源：评论

学校读者我要写书评

暂无评论

Enhancing UAV Path Planning Efficiency through Adam-Optimized Deep Neural Networks for Area Coverage Missions 2

Enhancing UAV Path Planning Efficiency through Adam-Optimize...

引用

2nd International Conference on Machine Learning and Data engineering, ICMLDE 2023

作者： Akshya, J. Neelamegam, G. Sureshkumar, C. Nithya, V. Kadry, Seifedine SRM Institute of Science and Technology Department of Computational Intelligence Chennai603203 India Karpagam College of Engineering Department of Computer Science and Technology Coimbatore641032 India KGiSL Institute of Technology Department of Information Technology Coimbatore641032 India KGiSL Institute of Technology Department of Computer Science and Engineering Coimbatore641032 India Noroff University College Department of Applied Data Science Kristiansand4612 Norway

Efficient Unmanned Aerial Vehicle (UAV) trajectory generation is crucial for successful area coverage missions, aiming to maximize coverage while minimizing resource consumption. In this research, we present a comprehensive study on optimizing UAV trajectory generation using Deep Neural Networks (DNNs) with the Adam optimization algorithm. The DNNs are trained on historical data to produce smooth and continuous trajectories, thereby reducing abrupt changes in direction and enhancing overall efficiency during the mission. To evaluate the performance of the proposed approach, we conducted experiments comparing different activation functions, namely tanh, sigmoid, and ReLU, with the Adam-optimized DNN model. The trajectories generated by each activation function were analyzed using key metrics, including Mean Squared Error (MSE), Mean Absolute Error (MAE), Root Mean Squared Error (RMSE), and R-squared (R2) scores for both X and Y coordinates. The results of the comparative analysis revealed that the DNN model with the Adam optimizer exhibited superior performance over the other activation functions. It achieved lower MSE, MAE, and RMSE values, indicating better trajectory accuracy and smoother paths. Additionally, the R2 scores demonstrated a higher correlation between the generated trajectories and the actual trajectories, highlighting the model's ability to capture underlying patterns effectively. The findings underscore the significance of leveraging the Adam-optimized DNN approach for UAV trajectory planning, offering promising opportunities for resource optimization, increased mission success, and further advancements in autonomous aerial systems. This research contributes to the ongoing efforts in UAV path planning, optimization, and intelligent control strategies, paving the way for enhanced autonomous systems in various real-world applications. © 2024 Elsevier B.V.. All rights reserved.

关键词： Trajectories

来源：评论

学校读者我要写书评

暂无评论

Digital Asset Management Tool for Film Animation and Game Development

引用

computer-Aided Design and Applications 2023年第S8期20卷 89-99页

作者： Cao, Ling Hao, Gang Liang, Yaner School of Information Engineering Guangzhou Vocational College of Technology & Business Guangdong Guangzhou511442 China School of computer Science Guangdong Polytechnic Normal University Guangdong Guangzhou510665 China

With the continuous development of China's economy and technology, China's market has also produced a large number of excellent film and television works with beautiful pictures. Once launched, it has been loved by consumers and promoted the further development of China's economy. Through research, it is found that this has a great relationship with the application of game engine to the design of film and television animation. This paper discusses the design and implementation of video animation of game engine. This paper uses the CAD game engine to create an animation example "Pipi's Creation" to illustrate the whole process of using the game engine to create film and television animation. In the process of creation, it focuses on describing the different processes of video animation produced by game engine and traditional animation, as well as the different links in the creation, and completes the creation of examples. Based on the above research, on the basis of 3D software CAD, a digital asset management system for computer-aided video animation and game development has been developed and implemented. © 2023 CAD Solutions, LLC.

关键词： computer aided design

来源：评论

学校读者我要写书评

暂无评论

Sentiment-Based Community Detection Using Graph Transformation 1

引用

International Conference on Advances in Data-driven Computing and Intelligent Systems, ADCIS 2022

作者： Meena, Shyam Sundar Tokekar, Vrinda Department of Computer Science and Engineering Shri Vaishnav Institute of Information Technology Shri Vaishnav Vidyapeeth Vishwavidyalaya Indore India Department of Information Technology Institute of Engineering and Technology Devi Ahilya Vishwavidyalaya Indore India

ISBN: (数字)9789819909810

ISBN: (纸本)9789819909803

There are a variety of social media platforms where people can review products and services depending on personal expertise. The user’s friends and followers may see each other’s ideas and sentiments, which may spread to more users in the future. Therefore, this research proposes a concept named "sentiment community". The purpose is to explore the feelings and interactions of users on social networking sites. We have used graphs for the modelling of these networks. The suggested sentiment community discovery approach alters the original graph based on sentiment scores of users. Experiments have been conducted on networks generated using the LFR model and Twitter’s data. In the experiments, the modularity score is used to determine the quality of the detected community structure. The communities were detected in each network with and without the sentiment concept. The results reveal that the inclusion of the sentiment score concept for community detection significantly improves the modularity score and quality of the resultant community structure. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Sentiment analysis

来源：评论

学校读者我要写书评

暂无评论

Software Bug Prediction using Machine Learning 15

Software Bug Prediction using Machine Learning

引用

15th International Conference on Advances in Computing, Control, and Telecommunication Technologies, ACT 2024

作者： Sathiyaraj, A. Angel, T.G. Ruby Turukmane, Anil V. Ramkumar, D. Guravaiah, Y. Department of Information Technology School of Computing Sathyabama Institute of Science and Technology Tamil Nadu Chennai600 119 India School of Computer Science and Engineering VIT-AP University Inavolu Andhra Pradesh Amaravati522237 India Department of Computer Science and Engineering MJR College of Engineering and Technology Diguvapokulavaripalli Pulicherla Andra Pradesh Chittoor District517214 India

ISBN: (纸本)9798331300579

The entire success of software is impacted by software bug prediction (SBP), a crucial part of the software development and maintenance life cycles. It is necessary to anticipate issues in order to increase the software's dependability, efficiency, and cost. In spite of the fact that a number of methods have been put out in the literature, it is difficult to create a reliable bug prediction model. In this paper, a machine learning (ML) based prediction method for software issues is introduced. Algorithms for guided machine learning that are based on historical data have been used to predict software errors. Two of the classifiers are Support Vector Machine and Naive Bayes (NB). How accurate and useful ML methods can be employed was demonstrated through the evaluation process. Included is the utilization of a comparative measure. © Grenze Scientific Society, 2024.

关键词： Prediction models

来源：评论

学校读者我要写书评

暂无评论

Empirical Evaluation of NoSQL and Relational Database Systems

Recent Advances in Computer Science and Communications

引用

Recent Advances in computer science and Communications 2021年第8期14卷 2637-2650页

作者： Kanchan, Shivangi Kaur, Parmeet Apoorva, Pranjal Department of Computer Science & Engineering and Information Technology Jaypee Institute of Information Technology Noida India

Aim: To evaluate the performance of Relational and NoSQL databases in terms of exe-cution time and memory consumption during operations involving structured data. Objective: To outline the criteria that decision makers should consider while making a choice of the database most suited to an application. Methods: Extensive experiments were performed on MySQL, MongoDB, Cassandra, and Redis using the data for an IMDB movies schema prorated into 4 datasets of 1000, 10000, 25000 and 50000 records. The experiments involved typical database operations of insertion, deletion, update read of records with and without indexing as well as aggregation operations. Databases’ performance has been evaluated by measuring the time taken for operations and computing memory usage. Results: Redis provides the best performance for write, update and delete operations in terms of time elapsed and memory usage, whereas MongoDB gives the worst performance when the size of data increases, due to its locking mechanism. For the read operations, Redis provides better performance in terms of latency than Cassandra and MongoDB. MySQL shows the worst performance due to its relational architecture. On the other hand, Mon-goDB shows the best performance among all databases in terms of efficient memory usage. Indexing improves the performance of any database only for covered queries. Redis and MongoDB give good performance for range based queries and for fetching complete data in terms of elapsed time whereas MySQL gives the worst performance. MySQL provides better performance for aggregate functions. NoSQL is not suitable for complex queries and aggregate functions. Conclusion: It has been found from the extensive empirical analysis that NoSQL outperforms SQL based systems in terms of basic read and write operations. However, SQL based systems are better if queries on the dataset mainly involve aggregation operations. © 2021 Bentham science Publishers.

关键词： Relational database systems

来源：评论

学校读者我要写书评

暂无评论

Web Application Based Text Encryption 2022

Web Application Based Text Encryption

引用

14th International Conference on Contemporary Computing, IC3 2022

作者： Kushwah, Rashmi Rajpurohit, Rishabh Jonathan, Paul Kumar, Gaurav Computer Science and Engineering and Information Technology Jaypee Institute of Information Technology Uttar Pradesh Noida India

ISBN: (纸本)9781450396752

In today's world we are using cryptography everywhere. Cryptography ensures that the information is secured and can only be accessed by the sender and the receiver of the message. We use it to securely send passwords over vast networks for online purchases. During recent time, we have seen a rise in the number of cyberattacks. Our data is becoming less and less secure. Also, the encryption and decryption process has become really cumbersome which has made it really difficult for it to be used in daily life. The aim of our paper is to protect the privacy of users. We have proposed a novel RKJ algorithm which is based on keyless encryption. In this algorithm the message is converted to binary and divided into groups of 32 bits. Every group is used as its own key after round shifting the bits by a random amount. This is done for a number of times (rounds). Apart from the proposed algorithms, we have also provided the users to create an id and use our proposed web application to store important data in the form of notes. We have used the blowfish algorithm to store these passwords in our database. The proposed RKJ algorithm has been used to encrypt these notes. To read the notes we would have to use login and password. Finally, we have hosted proposed web application on Heroku. © 2022 ACM.

关键词： Cryptography

来源：评论

学校读者我要写书评

暂无评论

Enhancing Sales Forecasting Accuracy in the Presence of Missing Data 17

Enhancing Sales Forecasting Accuracy in the Presence of Miss...

引用

IEEE Congress on Cybermatics: 17th IEEE International Conference on Internet of Things, iThings 2024, 20th IEEE International Conference on Green Computing and Communications, GreenCom 2024, 17th IEEE International Conference on Cyber, Physical and Social Computing, CPSCom 2024, 10th IEEE International Conference on Smart Data, SmartData 2024

作者： Tang, Jun Sun, Jingpeng Guo, Bing Shen, Yan Dai, Shengxin Wang, Peng College of Computer Science Sichuan University Chengdu China College of Computer Science University of Birmingham Dubai United Arab Emirates School of Computer Science Chengdu University of Information Technology Chengdu China College of Software Engineering Sichuan University Chengdu China

ISBN: (纸本)9798350351637

Accurate sales forecasting serves as a critical foundation for informed business decision-making and numerous methodologies have been advanced by scholars predominantly rely on complete datasets, however, in practice, uncontrollable variables often result in the presence of missing data, diminishing the applicability of established techniques, so the sales forecasting research based on missing data is of great significance. Some researchers have resorted to employing deletion or interpolation techniques to pre-process incomplete data before conducting sales forecasts, but such completion methods tend to introduce distributional biases, subsequently leading to forecast inaccuracies. In light of these challenges, this study introduces a novel computational framework combining Convolutional Neural Network (CNN), Self-Attention, and Sequence-to-Sequence (Seq2Seq) models, where global features are first extracted via the synergistic application of CNN and Self-Attention mechanisms, then the extracted features are seamlessly integrated with the original dataset, supplanting conventional interpolation strategies, and finally the amalgamated data are inputted into the Seq2Seq model for sales prediction. The proposed methodology is empirically evaluated using sales data from a real-world company, demonstrating commendable predictive performance and underscoring the efficacy of the proposed approach in enabling accurate sales forecasts within the context of missing data scenarios. © 2024 IEEE.

关键词： Data accuracy

来源：评论

学校读者我要写书评

暂无评论

Computational Time Complexity for Sorting Algorithm amalgamated with Quantum Search 2

Computational Time Complexity for Sorting Algorithm amalgama...

引用

2nd International Conference for Advancement in technology, ICONAT 2023

作者： Dutta, Anurag Harshith, John Soni, Yash Gupta, Avdhesh Gupta, Vishan Kumar Gupta, Ankit Government College of Engineering & Textile Technology Department of Computer Science and Engineering Calcutta Serampore India Vellore Institute of Technology University Department of Computer Science and Engineering Vellore Campus Tamil Nadu Vellore India Shri Govindram Seksaria Institute of Technology & Science Department of Information Technology Indore India Ajay Kumar Garg Engineering College Department of Information Technology Uttar Pradesh Ghaziabad India Graphic Era Deemed to Be University Department of Computer Science and Engineering Uttarakhand Dehradun India

ISBN: (纸本)9781665475174

In the pursuit of knowledge, data is a distinct set of values that convey information, describing quantity, quality, facts, statistics, or simple units of meaning, better known as datum. Now, handling data, in the latest world is really a tedious job that includes all the principles related to data management as a valuable resource. Amidst all data management techniques, Sorting is the most important one. Sorting refers to arranging data in ascending or descending order according to linear relationships between data items. It involves mathematical rigour that causes data units to be arranged in a monotonic order by it's magnitude. In modern world of informatics, Quantum Computing have caught great heights. So, have the algorithms fused to it. Quantum computing is a type of computation whose operation can exploit quantum mechanical phenomena, such as superposition, interference, and entanglement. In this work, we would try to define a lower bound for the Computational Complexity of Sorting Algorithm, being heterogeneity by the lower bound for Quantum Search of an ordered list. Further, we would also develop a upper bound on the Sorting integrated using Grover's Search- a real time unstructured Quantum Search. © 2023 IEEE.

关键词： Sorting

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：