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检索条件"任意字段=3rd International Conference on Informatics in Control, Automation and Robotics"

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Discovering Breast Cancer Comorbidity: A Network Analysis - Community Detection Approach

Discovering Breast Cancer Comorbidity: A Network Analysis - ...

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international conference on Smart Cities, automation & Intelligent Computing Systems (ICON-SONICS)

作者： Reynard Matthew Yaputra Angga Aditya Permana Department Informatics Faculty Of Engineering and Informatics Universitas Multimedia Nusantara Tangerang Indonesia

In 2020, breast cancer was the most common type of new cancer cases and caused the death of 0.69 million people worldwide. As it is famous and lethal, this paper aims to discover the comorbidity of breast cancer using community detection algorithms, namely Belief, Girvan-Newman, and Spinglass to prevent further impacts. Four centrality algorithms were used to get the comorbidity. As a result, the Wang algorithm with a threshold = 0.5 is chosen to build the network. The significant comorbidities agreed by all three algorithms are the disease of mental health, gastrointestinal system disease, cardiovascular system disease, nervous system disease, lung disease, and lower respiratory tract disease. There are also four other comorbidities agreed by the two algorithms and eight comorbidities discovered by only the Spinglass algorithm. From the list of 12 breast cancer comorbidity diseases by the Danish National Patient Register (DNPR), all of the comorbidities’ causes led to our list of comorbidities, which is the rationale for the excellent result of this research.

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Unity 3D-Based Six-Degree-of-Freedom Robotic Arm Virtual Simulation Teaching Platform

Unity 3D-Based Six-Degree-of-Freedom Robotic Arm Virtual Sim...

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robotics, Artificial Intelligence and Intelligent control (RAIIC), international conference on

作者： Jinwen Hu Qiuhong Lu Haoyu Fan Yuntao Xiao Youtao Zhou Shimian Zhang The School of Automation Engineering University of Electric Power Shanghai China Shanghai HRSTEK Co. Ltd Shanghai China

ISBN: (数字)9798350352627

ISBN: (纸本)9798350352634

The robotic arm is an important foundation for robots to perform a variety of complex tasks, and the robotic arm grasping technology involves multidisciplinary and multidisciplinary fields, which leads to a high learning threshold due to reasons such as more complex and abstract theoretical knowledge. In addition, the whole set of industrial robots is expensive, and it is difficult to ensure that each experimenter is involved. To address these issues, this paper is based on the visualization of Unity3D development platform vision technology, using SolidWorks modeling, and combined with the actual scene in the robotic arm grasping operations, to achieve a highly immersive virtual simulation of a typical case of grasping the target object, to build a six-degree-of-freedom robotic arm virtual simulation teaching system; to achieve the virtual simulation teaching software and the robotic arm unit to establish communication, the The virtual simulation system is integrated with the robotic arm unit operation platform. The system has the advantages of easy operation, real simulation effect and good learning effect, which is of positive significance for improving the teaching quality and research level of robot arm related courses.

关键词： Training Visualization Solid modeling Service robots Virtual environments Grasping Kinematics

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3D Porous Stacked Organic Electrochemical Transistor for Wearable Glucose Sensing: Enhancing Comfort, Breathability, and Real-Time Monitoring

3D Porous Stacked Organic Electrochemical Transistor for Wea...

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international conference on Micro/Nano Sensors for AI, Healthcare, and robotics (NSENS)

作者： Changjian Liu Wei Huang Haihong Guo Yujie Peng Junsheng Yu School of Optoelectronic Science and Engineering University of Electronic Science and Technology of China Chengdu China School of Automation Engineering University of Electronic Science and Technology of China Chengdu China

ISBN: (数字)9798350375213

ISBN: (纸本)9798350375220

With an excessively indulgent diet and irregular routine, diabetes has emerged as a pervasive and life-threatening chronic condition. Real-time monitoring of glucose levels and stringent glycemic control are imperative for the efficient prevention and management of this ailment. Organic electrochemical transistors (OECTs) have attracted significant attention owing to its mechanical flexibility and its property to operate effectively in aqueous environments. Herein, a wearable glucose sensor is developed via ionic solutions as well as for the enzyme-based detection performance. Taking inspiration from nature, we have innovatively designed a 3D porous stacked OECT to attain passive cooling and enhanced breathability, ensuring an improved and comfortable wearing experience. The device has proven successful in detecting glucose concentrations within artificial sweat, paving the way for the development of next-generation sensors.

关键词： Performance evaluation Three-dimensional displays Medical services Robot sensing systems Real-time systems Glucose Transistors

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Proceedings of the international conference on Artificial Intelligence Techniques for Electrical Engineering Systems (AITEES 2022) 1

Proceedings of the International Conference on Artificial In...

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丛书名： Atlantis Highlights in Intelligent Systems

2023年

作者： Valentina E. Balas Ramesh C. Bansal Siva Kumar Mangipudi Subhojit Dawn

ISBN: (数字)9789462392663

ISBN: (纸本)9789462392656

The book invites submission of novel, recent area of innovation and previously unpublished research work/idea in the field of modern applications of artificial intelligence techniques to electrical engineering systems. The applications of artificial intelligence related to various fields of electrical engineering are mentioned in the conference tracks. The conference is meant to discuss the challenges and applications of latest evolutionary computing techniques, neural networks, fuzzy logic, machine learning and data analytics in the fields of power systems, power electronics, robotics, automation, instrumentation, control systems, mechatronics and photonics. It provides a platform to the students, researchers, scientists, faculty members, professionals and practitioners to interact, present and get innovative ideas in the field of electrical engineering. As a part of AITEES-2022, many keynote sessions are planned to enhance the research and innovation skills of participants. Eminent professors from academic institutions and world renowned industrial experts from India and abroad will deliver keynote sessions.

关键词： Artificial Intelligence Computer Science Machine Learning Big Data

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A New Type of Wind Generator Blades Mechanical Automatic control System 3

A New Type of Wind Generator Blades Mechanical Automatic Con...

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3rd international conference on Communications, Information, Electronic and Energy Systems, CIEES 2022

作者： Fazylova, Alina Iliev, Teodor Satbayev University Dept. of Robotocs And Engineering Tools of Automation Almaty Kazakhstan Almaty University of Power Engineering And Telecommunications Named After G.Daukeev Dept. of Electronics And Robotics Almaty Kazakhstan University of Ruse Dept. of Telecommunications Ruse Bulgaria

ISBN: (数字)9781665491495

ISBN: (纸本)9781665491495

Wind power in Kazakhstan, following the global trend, continues to develop and there is an increase in the number of RES power plants. The development of wind energy involves the creation of large-sized and high-power installations. The rotors of wind turbines experience heavy loads on their design. Thus, the actual task and problem for the wind energy park of Kazakhstan is to reduce the load on the structure by regulating it during wind gusts. The use of a control system for the rotation of the blades makes it possible to significantly reduce the load on the structure. However, due to the non- linearity of the process and the difficulty of accurately measuring the wind speed, the blade turning control system must be designed with great care. This paper presents the development of a lever mechanical system for controlling the blades of a wind turbine, which makes it possible to secure the operation of a wind generator. The purpose of the study is to develop a 3D model of a lever control system and create an automatic control system for it. A three-dimensional study of the rotor in various states of the rotor was carried out. This dynamic computer model is proof of the functionality of the communication system. The transfer function of the entire control system is also determined and, based on experimental data, a mathematical model of an experimental laboratory sample is developed. This installation will optimize the operation of a vertical axis wind generator by creating a wind flow control system for further converting the wind flow into electrical energy. © 2022 IEEE.

关键词： Wind power

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Analysis of RAISA (robotics, Artificial Intelligence & Service automation) and Dubai Tourism 3

Analysis of RAISA (Robotics, Artificial Intelligence & Servi...

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3rd IEEE international conference on Computational Intelligence and Knowledge Economy, ICCIKE 2023

作者： Kumar, Sachin Sajnani, Manohar Chopra, Ashok Amity University Dpt of Hospitality andTourism Uttar Pradesh Noida India Amity Institute of Travel and Tourism Amity University Dean Faculty of Hospitality and Tourism Director Uttar Pradesh Noida India Amity University Department Management and Commerce Dubai United Arab Emirates

ISBN: (纸本)9798350338263

Travel and tourism are crucial global economic growth and development engines because they generate employment opportunities and add to economic output in various ways. Travel abroad might be for pleasure, business, medical, or other reasons. The tourism sector has benefited greatly from technological development. This study provides a systematic review of RAISA on the tourism sector in Dubai and studies its effects on service quality. robotics (R), artificial intelligence (AI), and service automation (RAISA) are all technologies that are widely used in the travel and tourism sector around the world (SA). The research aims to understand how far along the travel sector is in adopting RAISA. This paper elaborates on preceding evaluations and conducts a systematic literature examination to discuss the pros and cons of using RAISA in Dubai's tourism *** review-based analysis suggests that AI and SA technologies adopted in Dubai have positively impacted Dubai tourism, and the robot is a good fit for tourism and hospitality in the Dubai sector to some extent. However, for the new RAISA technologies to be fully utilized, those working in the tourism and hospitality industries need to upgrade their level of digital literacy. Trained personnel and resources are required, which can be challenging to enact RAISA Also, the primary obstacles to enacting RAISA are a lack of resources and a dearth of qualified personnel. The findings of the review discuss that RAISA's most vital points were productivity and efficiency, the program's ability to improve service quality, streamline processes, reduce human error, and work on things that can enhance the psychological well-being of people. There are a few disadvantages. However, human intervention is always required and recommended in the service industry. More investigation is needed in Dubai's hospitality and tourism industry. © 2023 IEEE.

关键词： robotics

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A Rehabilitation Training System for Hand-function Exoskeletons Based on the Cloud Platform 3

A Rehabilitation Training System for Hand-function Exoskelet...

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3rd international conference on Electronics, Communications and Information Technology, CECIT 2022

作者： Lv, Jidong Sun, Xiaoqin Wang, Lingyun Niu, Liangliang Yang, Yang Rong, Hailong Zou, Ling Changzhou University School of Microelectronics and Control Engineering Changzhou China

ISBN: (纸本)9798350331974

The rehabilitation effect was quantitatively evaluated and fed back in time in the rehabilitation training for stroke patients with limb movement disorders. The rehabilitation training system for hand-function exoskeletons based on the cloud platform promoted the efficient allocation of medical resources by breaking the Spatio-temporal limitations to a large extent. Hand-function rehabilitation training was integrated into games by combining the new somatosensory device LeapMotion with the Unity3D game engine. The rehabilitation training of patients distributed in different regions was tracked by the cloud platform technology based on the SSM and Shiro framework through the Internet. It provided timely feedback on the evaluation of the rehabilitation effect based on quantitative data. This system is of great significance in improving the rehabilitation training quality of hand-function patients, promoting the early recovery of patients, and reducing the burden on the family and society. © 2022 IEEE.

关键词： Exoskeleton (robotics)

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Analysis of Intelligent Force control Methods for Red-Meat Gripping Applications 10

Analysis of Intelligent Force Control Methods for Red-Meat G...

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10th IEEE Jubilee international conference on Computational Cybernetics and Cyber-Medical Systems, ICCC 2022

作者： Takács, Kristóf Takács, Bence Tarsoly, Sándor Garamvölgyi, Tivadar Galambos, Péter Rudas, Imre Haidegger, Tamás Óbuda Universtiy Antal Bejczy Center for Intelligent Robotics Budapest Hungary Óbuda University Doctoral School of Applied Informatics and Applied Mathematics Hungary Óbuda University Budapest Hungary

ISBN: (数字)9781665481779

ISBN: (纸本)9781665481779

Slaughterhouse automation is a challenging but important effort that could potentially improve the efficiency and hygiene of meat-processing while replacing human operators with machines and robots in dangerous and unpleasant jobs. Automated handling of carcasses require high level of intelligence, autonomy and adaptability, thus AI-driven systems, various sensors and intelligent tools are necessary parts of such systems. This paper presents novel force control methods implemented in a smart gripper intended for automated pig cutting. While the gripper is capable of handling high payloads (whole legs and 15-20 kg of intestines), the force control algorithm also allows delicate grasping on soft tissues. The gripping force is estimated separately for the two fingers of the gripper based on novel timing belt strain measurement methods. The elongation of the belts are measured by strain-gauges, and by magnetic encoders measuring the rotations of axes. The force sensors were tested with a tensile testing machine, and the functioning force-controlled gripper was tested with real pig carcasses too. The sensors have also proved useful for giving other feedback during automated pig cutting too, such as warning about inadequate gripper positioning relative to the target, and error signal generation when the target object slipped out of the gripper. © 2022 IEEE.

关键词： Grippers

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AnoSegNet: Anomaly Detection and Segmentation Using Convolutional Neural Networks with Variational Autoencoders for Enhancing Industrial Quality control 24

AnoSegNet: Anomaly Detection and Segmentation Using Convolut...

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Proceedings of the 3rd international conference on Computing Advancements

作者： Md Raisul Islam Md Zakir Hossain Zamil Arifa Eva Md Anisur Rahman Md Nahid Hasan Md. Mohsin Kabir Western Illinois University Macomb USA American International University Bangladesh (AIUB) Dhaka Bangladesh University of Wisconsin-Milwaukee Milwaukee USA Faculty of Informatics Eötvös Loránd University Budapest Hungary

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Remote sensing analysis of oilfield IoT based on density clustering 3

Remote sensing analysis of oilfield IoT based on density clu...

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3rd international conference on Industrial Artificial Intelligence, IAI 2021

作者： Zhang, Tao Fu, Dianzheng Xu, Yuanye Dong, Jingya Shenyang Institute of Automation Chinese Academy of Sciences Shenyang Institute of Automation Chinese Academy of Sciences Institutes for Robotics and Intelligent Manufacturing University of Chinese Academy of Sciences Nationality Department of Digital Factory Shenyang China

ISBN: (纸本)9781665435178

In this paper, a density-based neighborhood search clustering method is proposed. A decision graph is obtained through density calculation, this method only needs to select density centers, and clustering results can be achieved automatically without irregular and frequent parameter adjustment. The algorithm is suitable for industrial big data clustering. It not only explains the clustering results vividly, but also increases or decreases the amount of clustering rapidly according to the need. Experimental results show that this method performs well on artificial data sets in contrast to the traditional methods and is successfully applied to a real oilfield engineering case. © 2021 IEEE.

关键词： Internet of things

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