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Design of Image Transmission System Based on Wi-Fi Transmission 6

Design of Image Transmission System Based on Wi-Fi Transmiss...

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6th international conference on Electronics Technology, ICET 2023

作者： Cao, Yanze Guilin University of Electronic Technology School of Electronic Engineering and Automation Guilin China

ISBN: (纸本)9798350337693

The National Undergraduate Smart Car Competition is an academic competition that has been held in China for 17 years to cultivate the engineering ability of college students. There are various competition groups, roughly divided into electromagnetic group and camera group. Due to the large amount of image data of the camera group and the slow speed of traditional wireless transmission technology, no one has solved the problem of camera debugging and visualization in recent years. The paper designs and proposes an image transmission system based on Wi-Fi transmission. The system is composed of external hardware, image transmission module and PC host computer. The entire system can transmit grayscale images with a size of 188∗120 at a speed of 50FPS to meet the needs of viewing images in real time. At the same time, the transmitted image can also be saved, and the function of simulating shunting can be realized through software, which greatly improves the debugging efficiency. © 2023 IEEE.

关键词： Cameras

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Fast Anomaly Detection For Multivariate Industrial Time Series Data 14

Fast Anomaly Detection For Multivariate Industrial Time Seri...

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14th international conference on Computing Communication and Networking Technologies, ICCCNT 2023

作者： Kumar, Suraj Gupta, Gagan Raj Parihar, Roodra Pratap Singh Iit Bhilai Computer Science and Engineering Dept. Raipur India Iit Bhilai Mechatronics Engineering Dept. Raipur India

ISBN: (纸本)9798350335095

Anomaly detection is used to identify/predict atypical patterns or outliers within datasets. It proves highly beneficial in numerous applications like industrial monitoring, healthcare and cybersecurity etc. With the advent of Industry 4.0, system automation is rapidly increasing, resulting in an exponential surge in data generation. In a factory setting, a sudden deviation in signal values can result in significant losses. Having a robust anomaly detection system in place becomes crucial to promptly identify and flag anomalies, thereby minimizing potential losses. In this paper, the proposal entails a down-sampling technique that offers advantages in terms of mitigating noise, reducing storage requirements, and diminishing computational demands by 88% for a representative dataset. Additionally, an anomaly interval detection algorithm designed to label data is introduced by us, thereby facilitating its application in supervised anomaly detection methods and predictive anomaly detection. © 2023 IEEE.

关键词： Anomaly detection

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Simulation of Sound Field Distribution in Rotary Condenser Room Based on COMSOL 4

Simulation of Sound Field Distribution in Rotary Condenser R...

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4th international conference on computers, Information Processing and Advanced Education, CIPAE 2023

作者： Wei, Chen Ling, Lu Sheng, Hu Zhihao, Nie State Grid Laboratory of Electric Equipment Noise and Vibration Research State Grid Hunan Electric Power Corporation Research Institute Changsha China Electrical Engineering and Automation Hunan Institute of Engineering Changsha China

ISBN: (纸本)9798350342710

With the rapid development of DC transmission technology, the problem of excessive noise of substation boundary caused by the noise of converter station rotary condenser room often occurs. There are few studies on the sound source characteristics and sound field distribution of the rotary condenser, and its noise influence cannot be ignored. In this paper, based on comsol, a scaled simulation model of the rotary condenser room is established. The noise distribution inside and outside the room of the rotary condenser room is calculated, and compared with the measured value, the noise distribution inside and outside the converter station is obtained. The research conclusion can guide the project planning to predict the noise distribution more accurately and avoid the problem of excessive noise after completion © 2023 IEEE.

关键词： Acoustic fields

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Agile Teaching: Automated Student Support and Feedback Generation 53

Agile Teaching: Automated Student Support and Feedback Gener...

引用

53rd IEEE ASEE Frontiers in Education international conference, FIE 2023

作者： Bahrehvar, Majid Moshirpour, Mohammad University of Calgary Department of Electrical and Software Engineering Calgary Canada University of California Department of Informatics Irvine United States

ISBN: (纸本)9798350336429

The software engineering industry prioritizes efficiency through the use of tools and processes such as version control and Agile methodologies. automation has allowed developers to be more productive and deliver superior results. However, automation is not as widespread in software engineering education. To improve educational outcomes and provide more effective feedback to students, this research implements software engineering methods and automation techniques in software engineering education and evaluates their effectiveness. Our focus is on establishing a connection between source code and natural language, allowing us to generate a natural language description from a given source code sample. To generate feedback, we employ deep learning models to learn code representations and gain a deeper understanding of code. However, the complexity of code makes it challenging to learn its representation accurately. After learning about code, we compare students' code with the instructor-provided solution based on configurable thresholds and generate comments to provide guidance. This work extends the Transformer model, GraphCodeBERT, which is a pre-trained model for programming languages that incorporates the inherent structure of code. We utilize both syntax-level information, such as abstract syntax trees, and semantic-level information, such as data flow, during pre-training. The data flow graph has nodes representing variables and edges indicating the 'where-the-value-comes-from' relationship between variables. Our model is based on the Transformer neural architecture and uses a gated graph neural network model to learn code embeddings. This function incorporates code structure, a copy mechanism, and relative position representations, allowing the model to better understand the semantics of code. We evaluated our approach on the Java dataset in terms of BLEU, METEOR, and ROUGE-L metrics and compared it with the state-of-the-art code comment generation model, GTrans

关键词： Agile Teaching ML4Code Software engineering

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An Improved Seagull Optimization Algorithm for Flexible Job-shop Scheduling Problem 13

An Improved Seagull Optimization Algorithm for Flexible Job-...

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13th IEEE international conference on CYBER Technology in automation, Control, and Intelligent Systems, CYBER 2023

作者： Ma, Kai Yao, Shijie Guo, Shiliang Yang, Bin Li, Shuai Yanshan University Key Lab of Industrial Computer Control Engineering of Hebei Province Qinhuangdao China

ISBN: (纸本)9798350315196

Job-shop scheduling problem is the core link and key technology to realize smart factory and develop smart manufacturing technology. Among them, the flexible job-shop scheduling problem (FJSP) which is more consistent with the actual production and processing mode has been focused. This paper proposes an improved seagull optimization algorithm(ISOA) for solving the FJSP. The ISOA uses chaos initialization and reverse learning to optimize initial population, and introduces Q-learning to change the fitting parameters to balance global search and local search. In addition, we propose a local search model that is adaptive iterative process to enhance the algorithm's optimization search capability. The results of the experiment proved that the algorithm is superior in terms of optimization speed and scheduling results. © 2023 IEEE.

关键词： Iterative methods

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A Framework for Smart City Implementation using IoT-Cloud Based System Architecture 2

A Framework for Smart City Implementation using IoT-Cloud Ba...

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2nd IEEE international conference on Distributed Computing and Electrical Circuits and Electronics, ICDCECE 2023

作者： Dankan Gowda, V. Prasad, K.D.V. De, Tanmoy Srinivas, Ved Anil Kumar, N. Tejpal Moharekar, Tejashree Bms Institute of Technology and Management Department of Electronics and Communication Engineering Bangalore India Hyderabad India Symbiosis Institute of Business Management Hyderabad Pune India Public Policy Thiagarajar School of Management Madurai India School of Engineering and Technology Department of Electronics and Communication Engneering Tirupati India Yashwantrao Chavan School of Rural Development Shivaji University Computer Department Maharashtra Kolhapur India

ISBN: (纸本)9798350347456

The Internet, a key participant (world wide web) in worldwide information exchange and media sharing, has experienced cumulative upgrades, developments, and given up consequent product IOT, making technology affordable and practical for all uses. Research development includes smart sensors, a communication channel and protocols for exchanging data, and peripherals like an Arduino, a Texas Instruments MSP430G2553, a Weather-proof Tx. Rx. Kit (for exchanging data), a Data Receptor and Decoder Shield for Lab View Kit (for exchanging data), an addressing and de-addressing data module, a communication shield, etc. It is now possible to communicate from a desktop computer or an Android smartphone to a portable device that has an embedded device, such as a microcontroller, a microprocessor, or a sensor. In other words, IOT combines always-on networking, always-on computation, and always-on intelligence. The Internet of Things facilitates communication between the central hub (fitted with a Lab-View interface) and the distributed modules (found in places like parks, subways, and highways) that control the lights. The Internet of Things is also useful for keeping the overall cost of setup and maintenance within reasonable economic bounds. The planned development takes into account IoT on two main scales: city-wide automation (also known as smart city) and home-level automation (also known as covering up). © 2023 IEEE.

关键词： Smart city

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Analysis and Performance Evaluation of OpenFlow Controller in SDN using N-Policy

Analysis and Performance Evaluation of OpenFlow Controller i...

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2023 international conference on Recent Advances in Science and engineering Technology, ICRASET 2023

作者： Al Ahmad, Mahmoud Diab, Maisa Patra, Sudhansu Shekhar University of Kalamoon College of Engineering It Department Damascus Suburb Syria Arab Private University for Science and Technology College of Informatics Engineering It Department Hama Syria Kiit Deemed to Be University School of Computer Applications Bhubaneswar India

ISBN: (纸本)9798350306927

The OpenFlow protocol facilitates the communication between the control and forwarding planes within a software-defined networking (SDN) framework. In SDN, the control plane is housed in a distinct entity known as the OpenFlow controller, which assumes the responsibility of making high-level determinations regarding the forwarding of network traffic. With the OpenFlow controller, network administrators can centrally program and manage network behavior, incorporating functionalities like traffic engineering, load balancing, QoS enforcement, security policies, and more. By segregating the control plane from the data plane, SDN utilizing OpenFlow empowers flexible network management, automation, and programmability. Through the utilization of the OpenFlow protocol, the OpenFlow controller interacts with the forwarding plane, typically implemented in network switches or routers. This approach offers a centralized perspective of the network and grants dynamic control over the behavior of network devices by installing flow entries into their forwarding tables. In this research, we use a single-controller N-policy finite buffer waiting queue model to investigate the system performance metrics. Numerical examples and different indices are presented to illustrate the proposed model. © 2023 IEEE.

关键词： Controllers

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Joint Distribution and Class-based Data Augmentation for Wildlife Detection

Joint Distribution and Class-based Data Augmentation for Wil...

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2022 international conference on automation, Robotics and computer engineering, ICARCE 2022

作者： Pan, Yunhao Sui, Chenhong Jiang, Fuhao Yang, Guobin Zang, Ankang Zhou, Shengwen Yantai University Physics and Electronic Information College Yantai China

ISBN: (纸本)9781665475488

Data augmentation is of great importance to alleviate the insufficiency of training samples, and further improve wildlife detection accuracy. However, current data augmentation methods tend to augment all kinds of samples equally, ignoring the problem of uneven distribution of the number and size of all kinds of samples in wildlife detection datasets, resulting in poor generalization of the model. To address this problem, this paper proposes a joint distribution and class-based data augmentation method for wildlife detection. In this method, diverse rather than universal data augmentation methods are introduced for different classes with a small proportion. This makes the distributions of different classes more balanced. Therefore, each class even with a small number of samples gets good training as well. To evaluate the effectiveness of the proposed method, extensive comparative experiments are conducted. Experimental results show the superiority of our proposed method. Specifically, the detection accuracy of Faster RCNN with Swin Transformer as the backbone network is improved by 0.8% to 96.2% after data augmentation with our method. © 2022 IEEE.

关键词： computer vision

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Collaborative Recommender Systems for Building automation: A Hybrid ANN-FOA Approach 1

Collaborative Recommender Systems for Building Automation: A...

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1st IEEE international conference on Electronics, Computing, Communication and Control Technology, ICECCC 2024

作者： Reddy, Abhilash Reddy Pabbath Ayyadapu, Anjan Kumar Reddy Maindola, Meenakshi Nithiya, C. Panneer Dhas, L. Kumar, Anup IT Infobuilders inc Georgia Bigdata Solution Architect/IT Cloudera AshburnVA United States Graphic Era Deemed to be University Department of Computer Science Engineering Uttarakhand India R.M.K College of Engineering and Technology Department of ECE Thiruvallur Puduvoyal India KL Deemed To Be University Department of CSA Andhra Pradesh Vijayawada India Scientist D NIELIT Arunachal Pradesh Itanagar India

ISBN: (纸本)9798350371802

The rapid evolution of energy and sustainability regulations pertaining to the constructed environment is a direct result of the pressing worldwide environmental crises. A renewed focus on resource efficiency is being fostered within the construction industry by innovative ideas like 'Nearly Zero Energy Building' (nZEB). That is why it is necessary to evaluate the building's performance thoroughly during its entire lifecycle. According to the data, there is usually a significant discrepancy between the predicted performance in the design stage and the real performance in operation. The reason behind this is that errors might occur at any point in a building's lifespan. Feature extraction, preprocessing, and training models all rely on correct sequencing. The purpose of preprocessing is to improve the reliability of a dataset by removing inaccurate or missing data, such as outliers. In order to extract features, GLCM and the Wavelet Scattering Transform are being utilised. For training hybrid ANN-FOA models, exact control over the attributes is essential. This approach appears to be rather novel when compared to the cutting-edge FOA and ANN algorithms. With a precision of 97.35 percent, the results demonstrated a significant improvement. © 2024 IEEE.

关键词： Neural networks

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Multi-objective Optimization of the Interior Permanent Magnet Synchronous Motor for Electric Vehicles 6

Multi-objective Optimization of the Interior Permanent Magne...

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6th IEEE international Electrical and Energy conference, CIEEC 2023

作者： Huang, Changchuang Kou, Baoqaun Zhao, Xiaokun Harbin Institute of Technology Electrical Engineering and Automation Heilongjiang China Northeast Forestry University Computer and Control Engineering Heilongjiang China

ISBN: (纸本)9798350346671

Permanent magnet synchronous motors (PMSMs) are widely used in various fields due to their high efficiency, high power factor and small volume. In this paper, a segmented permanent magnet interior permanent magnet synchronous motor (IPMSM) is proposed and optimized. First, the topology of the IPMSM is introduced. Second, multi-objective optimization is performed by non-dominated sorting genetic algorithm-II (NSGA-II) using rotor structure parameters as optimization variables, saliency ratio as constraint, electromagnetic torque and constant-power speed range as objective functions. Then, the electromagnetic characteristics of the initial IPMSM and the optimized IPMSM are analyzed and compared. The results show that the torque and constant-power speed range of the optimized motor are improved, which verifies the validity of the optimization method. The proposed motor is suitable for electric vehicles, which require large torque at low speeds and wide constant-power speed range at high speeds. © 2023 IEEE.

关键词： Multiobjective optimization

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