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A Transformer Network Based on Taylor Expansion for Generating Phase Contrast Images of Adherent Cells

A Transformer Network Based on Taylor Expansion for Generati...

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2024 IEEE international conference on Real-Time Computing and Robotics, RCAR 2024

作者： Guo, Yongquan Zheng, Jintu Ding, Yi Hu, Ying Cao, Yi Wang, Zenan University of Jinan Institute of Information Science and Engineering Jinan250024 China Institute of Advanced Integration Technology Shenzhen Institute of Advanced Technology Chinese Academy of Sciences Shenzhen518055 China

ISBN: (纸本)9798350372601

The use of automation technology is essential in stem cell research and large-scale preparation to address core technological challenges. The efficiency and accuracy of the observation phase in the large-scale preparation process of stem cells are decisive factors that affect production quality and efficiency. However, existing observation technologies such as phase contrast imaging and traditional computer vision-based methods are inefficient and require manual correction. Therefore, developing a technology that can quickly and efficiently observe the stem cell growth states during the automation process is necessary. A new study introduces a multi-scale Transformer network based on Taylor expansion (TTNet) that aims to monitor stem cell growth states accurately and in real-time during the automation process. This network utilizes a Taylor series expansion to provide an approximation of the conventional softmax attention mechanism and corrects errors in the Taylor expansion through an attention refinement module. Additionally, the network incorporates multi-scale patch embedding technology, achieving effective feature embedding through overlapping deformable convolutions of different scales. By optimizing and compressing the model, this study significantly improves the generation speed of the model without sacrificing the quality of generation. Experimental results demonstrate that TTNet has significant advantages in comprehensive performance over existing generative models in the task of generating bright-field images of stem cells. It achieves the shortest generation time while ensuring the quality of generation. © 2024 IEEE.

关键词： Stem cells

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Application research of smart-home system for manned spacecraft 9

Application research of smart-home system for manned spacecr...

引用

9th IEEE international conference on Cloud Computing and Intelligence Systems, CCIS 2023

作者： Gao, Yanchao Zhao, Zhenhao Liang, Xiaofeng Yin, Zhao Zhang, Xu Beijing Institute Spacecraft System Engineering Beijing100094 China

ISBN: (纸本)9798350304428

At present, the human-computer interaction system of manned spacecraft is oriented to meet the mission function, and has the characteristics of relatively single and independent function, poor compatibility & expansibility and long development cycle. It is difficult to meet the needs of long-Term astronaut in-orbit in terms of user experience. For the future manned spacecraft, this article proposes application research of smart-home system for manned spacecraft which is featured as intelligence, network and commercialization. The application research studies the overall design and its protocol architecture, and also plans the functions of space smart-home system in details. This application research shows that this scheme can comprehensively improve the efficiency, convenience, comfort and intelligence for manned spacecraft. © 2023 IEEE.

关键词： automation

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Effect of pelleting on the mechanical behavior of ring die based on DEM-MBD coupling method 5

Effect of pelleting on the mechanical behavior of ring die b...

引用

5th international conference on Robotics and computer Vision, ICRCV 2023

作者： Sun, Wanfeng Sun, Yu Wang, Yu Chen, Gang School of Mechanical Engineering Nanjing University of Science and Technology Nanjing China

ISBN: (纸本)9798350326369

Ring die pelleting is a manufacturing process for producing pellets. However, the ring die pellet mill typically requires high power consumption and is prone to ring die wear and damage. To investigate the influence of the pelleting process on the mechanical behavior of the ring die, a coupled model of the roller-powder-ring die was established based on the discrete element method and multi-body dynamics. The model was verified through torque tests of the pellet mill. The model is used to conduct co-simulation under different linear velocities of the ring die to study the influence of the linear velocity and connection methods of the ring die on the mechanical behavior of the ring die. The results showed that the hoop connection is better the linear velocity was positively correlated with the stress and strain of the ring die. With the goal of low energy consumption, low loss of the ring die, and production efficiency, 10 m/s is the optimal linear velocity of the ring die. © 2023 IEEE.

关键词： Dies

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A Novel Global Localization Algorithm Based on Ring-wise Encoding Descriptors

A Novel Global Localization Algorithm Based on Ring-wise Enc...

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2023 international conference on automation Control, Algorithm, and Intelligent Bionics, ACAIB 2023

作者： Chen, Yongzhe Wei, Xiaomeng Wang, Gang Zhou, Wei Changsha Automobile Innovation Research Institute Changsha410013 China College of Computer Science and Technology Jilin University Changchun130012 China College of Software Jilin University Changchun130012 China

ISBN: (纸本)9781510667662

The map-based global localization technique leverages global descriptors to articulate overall features of point clouds, and facilitates vehicle localization through comparison with the map keyframe. However, this technique is capable of facing challenges when there is an offset between the vehicle position and map keyframes, making it difficult to achieve a match and thereby adversely affecting the accuracy and robustness of the localization system. To mitigate this challenge, this paper presents a novel approach for global localization that designs ring-wise encoding descriptors. This approach involves the integration of ring-wise elevation difference encoding and the shifting of the point cloud coordinate system to construct global descriptors that possesses rotational and translational invariance, thereby enabling rough localization. Additionally, the search range is dynamically adjusted established upon the similarity score of descriptors, and fine localization is achieved employing the branch and bound scan matching algorithm. The presented approach is validated on the KITTI dataset and JLU Campus dataset. Results demonstrate a high success rate in global localization, as well as excellent generalization and practicality. © 2023 SPIE.

关键词： Autonomous vehicles

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Semar IOT Server Platform: Design and Applications Implementation 2

Semar IOT Server Platform: Design and Applications Implement...

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2nd IEEE international conference on IoT, Communication and automation Technology, ICICAT 2024

作者： Mezaal, Ali Abdulkareem Muhammad, Shaima Rahim Abbas, E.M. Shoushtarian, Bijan Morteza Al-Jawahry, Hassan M. Ahmed, Abeer Mohsen, Abdul Hussein Kut University College Business Administration Department Al Kut52001 Iraq Uruk University Baghdad Iraq The University of Mashreq Baghdad10021 Iraq Mazaya University College Iraq The Islamic University College of Technical Engineering Department of Computers Techniques Engineering Najaf Iraq Al-Farahidi University Baghdad Iraq Al-Kunooze University College Computer Engineer Department Basra Iraq

ISBN: (纸本)9798350368109

The Internet of Things is evolving more quickly these days, which raises the possibility of creating smart cities, where different IoT applications must be coordinated and connected. However, the criteria of device, rationale, and data transmission are often disregarded since IoT application platforms are frequently created and implemented in isolation. In other words, we demonstrated the architecture of the Internet of Things server platform named Smart Monitoring of Environment and Analytical in Real-Time here in order to connect the IoT applications utilizing standards. Big Data ecosystems with AI, coordination, and data aggregation functions are made accessible by SEMAR and need just basic plug-in functionalities. It is permissible to combine data that provides access from various sensor devices using both wireless and direct network data. Text files, user interfaces, and Representing State Transfer API services will all be utilized to retrieve this data in real-time for usage in other systems. The ventilation observation system, the ecological observation system, the indoor fingerprint-based location system, the water superior tracking system, and the cooling directing system were the five IoT technologies that we constructed and integrated in order to evaluate the SEMAR. In terms of flexibility and compatibility, the suggested SEMAR IoT application server platform is more effective and efficient than previous IOT platform research. It may be readily integrated with third-party apps or Internet of Things applications without requiring code modifications. It contains capabilities for device administration, data transfer, selection, synchronization, and filtering. The results support the proposal's efficacy and efficiency. Massive and rapidly expanding Internet of Things (IoT) devices need scalable and reliable platforms for data processing, management, and analysis. © 2024 IEEE.

关键词： Data aggregation

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Smart Energy Metering, Control, and Protection System for Making a Smart Home Using IoT 26

Smart Energy Metering, Control, and Protection System for Ma...

引用

26th international conference on computer and Information Technology, ICCIT 2023

作者： Joha, Md. Ibne Nazim, Md Shahriar Zubair, Md. Ibna Khulna University of Engineering & Technology Dept. of Electrical and Electronic Engineering Khulna9203 Bangladesh Chittagong University of Engineering & Technology Dept. of Mechatronics and Industrial Engineering Chittagong4349 Bangladesh

ISBN: (纸本)9798350359015

Internet of things (IoT)-based smart devices are easily available and affordable in the present world. The smart energy metering system (SEMS) is one of the novel ideas for monitoring, managing, and controlling the distribution of electrical energy. The use of the Internet of Things (IoT) and digital technology in smart metering and smart home automation systems (SHAS) is an important strategy for future power grids. A smart energy metering system is an internet-connected hardware and software-based system that monitors and controls the energy usage of residential buildings. The overall system can offer real-time monitoring, control, protection, and effective management of energy resources. Wireless communication technology is used by the IoT platform to send and receive measured data from the control unit room to the energy meter. After access rights have been set up for the ESP32 module and the Blynk IoT cloud platform, energy distribution operators can use smartphones or personal computers to check on all electrical parameters and control relay modules remotely. Also, users or electric power consumers can monitor and control their home appliances remotely. This IoT-based smart energy monitoring and management system makes a smart energy metering system capable of real-time monitoring, control, and protection systems to improve energy efficiency, lower energy costs, and make the grid more stable. © 2023 IEEE.

关键词： Blynk IoT Cloud Platform Energy Monitoring IoT PZEM-004T Smart Energy Metering

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Robotic Slag Removal System with Position Compensation and Defect Detection based on YOLO Algorithm

Robotic Slag Removal System with Position Compensation and D...

引用

2023 international conference on Advanced Robotics and Intelligent Systems, ARIS 2023

作者： Shih, Chih-Hsuan Wu, Chih-Yi National Taiwan University Department of Computer Science and Information Engineering Taipei10617 Taiwan Industrial Technology Research Institute Mechanical and Mechatronics System Research Laboratories Hsinchu31040 Taiwan

ISBN: (纸本)9798350302714

Robotic arms play a crucial role in factory automation, offering immense versatility, precision, and the capability for autonomous operation, thereby eliminating the need for manual labor. In this study, we have developed a robotic slag removal system with automatic position compensation and defect detection capabilities, which is capable of locating the features of workpieces, perform deslagging, and detect defects using the YOLO (You Only Look Once) algorithm. The experimental workpiece in this study is a knee femoral implant. Firstly, a position compensation method is employed to precisely locate the clamping hole of the workpiece. The robot trajectory is then automatically generated by the software for the deburring of the clamping hole slag. Subsequently, the system utilizes the detected defect locations to generate a re-deslagging path, ensuring that all remnants are thoroughly cleaned. © 2023 IEEE.

关键词： Robotics

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Automated Descriptive and Diagrammatic Answer Scoring Tool 14

Automated Descriptive and Diagrammatic Answer Scoring Tool

引用

14th international conference on Advances in Computing, Control, and Telecommunication Technologies, ACT 2023

作者： Shinde, Tanishka Mehta, Shruti Bothara, Shrutee Bothara, Shreya Nerkar, Minal All India Shri Shivaji Memorial Society’s Institute of Information Technology/Computer Engineering Pune India

Examinations are a significant phase when it comes to scrutinizing the intellectual abilities of the examinee. One is being tested for their knowledge in various domains. This stage is not just crucial for the student, but also for the examiner. The examiner needs to be proficient in his/her domain. Manual paper checking is the norm nowadays, but in the era of automation and technology, one needs to elevate the quality and process of paper checking and stay plugged in with increasing automation. This is also because manual paper checking can be tedious, time consuming and various factors of prejudice can prove unfair for the student. Not to forget grading mistakes that occur unknowingly by the examiner. We have brought forth An Automated Descriptive and Diagrammatic Answer Scoring Tool to upgrade paper checking procedures. This will help reduce bias time consumption, stress and will not just calculate descriptive answers, but also evaluate diagrams and mathematical formulae. It will also take into account, Bloom’s Taxonomy, while grading the answers. For descriptive answer evaluation this model uses various algorithms whose collective accuracy comes up to 98%. Whereas, diagrammatical and mathematical answer evaluation gives an accuracy of 95% and 96% respectively. © Grenze Scientific Society, 2023.

关键词： Grading

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Total Organic Carbon Detection in Water Based on Attention Mechanism CNN 4

Total Organic Carbon Detection in Water Based on Attention M...

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4th international conference on Intelligent Computing and Human-computer Interaction, ICHCI 2023

作者： Ming, Jiahao Chai, Qinqin Wang, Wu School of Electrical Engineering and Automation Fuzhou University Fuzhou China

ISBN: (纸本)9798350343113

With the increasing demand for dynamic control of sewage quality, developing a fast and accurate detection method that can continuously monitor total organic carbon (TOC) in water has become a crucial issue. However, traditional methods for TOC detection require a high consumption of time and resources. To overcome these drawbacks, in this paper, a rapid and effective TOC detection method is developed based on near-infrared spectroscopy (NIRS) and an improved convolutional neural network (CNN). Firstly, the spectrum of the water samples is collected using a portable near-infrared spectrometer. Then a Convolutional Block Attention Module (CBAM) is integrated with one-dimensional CNN to effectively extract key characteristics of pollutants and achieve accurate quantitative analysis. The feature visualization results demonstrate the effectiveness of the feature extraction. And comparison experimental results shown that, the proposed method model has the greatest coefficient of determination and the smallest root mean square error compared with other models. Thus, the proposed method can accurately detect the total organic carbon in water and is suitable for practical applications. © 2023 IEEE.

关键词： Water quality

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Machine Learning Technique for Prognosticating Crop Yield Variability with Air Quality Index

Machine Learning Technique for Prognosticating Crop Yield Va...

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2023 international conference on System, Computation, automation and Networking, ICSCAN 2023

作者： Kumar, S. Siva Usha, L. Josephine Saranya, K.R. Srm Institute of Science and Technology Department of Computer Science and Engineering Tamil Nadu India

ISBN: (纸本)9798350315127

Rice production in India holds significant importance in terms of its contribution to the economy and food security. However, the expansion of this sector is currently facing challenges due to the increasing levels of air pollution, including ground-level ozone and particle matter. The objective of this study is to examine the influence of air quality index (AQI) factors on rice productivity, namely during the winter season, with a particular emphasis on the exceptional year of 2020-2021. By utilizing Internet of Things (IoT) technology, the collection of real-time air quality data is combined with rice yield analysis through the implementation of decision tree regression, k-nearest neighbors (KNN), and support vector regression (SVR) methods. The research findings emphasis the effectiveness of the decision tree model in accurately representing the complex relationship between AQI and rice yield. This model demonstrates higher predictive accuracy when compared to SVR and KNN. This study highlights the importance of managing air quality in order to achieve sustainable rice production. Additionally, it emphasizes the potential of monitoring systems based on the Internet of Things (IoT) to significantly transform agricultural practices. By doing so, these systems may effectively connect environmental stewardship, technological innovation, and food security. © 2023 IEEE.

关键词： Air quality

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