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Retrofitting a Conventional Lathe Machine Type BV20-1L to a Semi CNC Lathe Machine 3

Retrofitting a Conventional Lathe Machine Type BV20-1L to a ...

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3rd International symposium on Material and Electrical engineering Conference, ISMEE 2021

作者： Erdani, Yuliadi Abadi, Sarosa Castrena Hidayatulloh, Firdaus Jaya Politeknik Manufaktur Bandung Automation Engineering Department Bandung Indonesia

ISBN: (纸本)9781665423625

Retrofit is one of methods to apply new technology and functionality in improving the performance and security of outdated systems. The application of retrofit can be done on conventional lathes because the machining process takes a long time. Furthermore in the operation of this conventional lathe the results of the work piece depend on the ability of the operator so the results are less consistent. Therefore, there is an innovation to this lathe that can control it automatically. The process of retrofitting this lathe used two stepper motors to move the carriage on the X axis (diameter feeding) and Z (depth of cut). The stepper motor is driven by TB6600 driver module that will be controlled via raspberry pi 3 B+ with python programming language. The Control and monitoring process of cut tool movements can be done through the interface that has been created using the LabVIEW 2020 application. There were two tests conducted, namely step work piece feeding testing and average total delay testing. Testing of the feeding of the work piece is carried out using the type of aluminum material as work piece. Based on the results of the test of the feeding of the work piece called Step, it came to the conclusion that the accuracy rate on the X axis is 99.37% and on the Z axis is 98.68%. The different accuracy rate is caused by the mechanical backlash and the quality of DDA program. Testing on the delay time process depicts that the average delay value is around 11.7 seconds. © 2021 ieee.

关键词： Retrofitting

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Interaction Design of Mathematics Learning applications for Elementary School Students 3

Interaction Design of Mathematics Learning Applications for ...

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3rd International symposium on Material and Electrical engineering Conference, ISMEE 2021

作者： Murad, Dina Fitria Dwi Wijanarko, Bambang Leandros, Riyan Akrama Ramadhan, Fawwaz Ihsan Ade Putra Siregar, Yudhi Bina Nusantara University Binus Online Learning Information Systems Department Jakarta Indonesia Nusantara University Binus Online Learning Bina Computer Science Department Jakarta Indonesia

ISBN: (纸本)9781665423625

Mathematics learning applications today are certainly very widely found, and we can easily download them from the app store or play store. Starting from the elementary, middle, and high school levels. Some of the current mathematics learning applications that we encounter only focus on their content, so the application's appearance is ignored. There are too many choices for the interface in the mathematics learning application before starting mathematics learning. This makes it difficult for users, mainly grade 6 elementary school students, when interact with the application. This research aims to develop an Android-based mathematics learning application for 6th-grade elementary school children with a User-Centered Design (UCD) approach. The ability to help 6th graders of the elementary school in learning mathematics independently will improve children's motor and cognitive skills. © 2021 ieee.

关键词： User centered design

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HopOn: A Personalized Ride-Sharing System based on Socio-Economic Factors 3

HopOn: A Personalized Ride-Sharing System based on Socio-Eco...

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3rd International Conference on Advancements in Computing, ICAC 2021

作者： Thilakaratne, Avishka Pinnawala, Nishith Wijerathna, Kaveesha Senavirathna, Kaushalya Wellalage, Sasini Wijekoon, Janaka L. Sri Lanka Institute of Information Technology Department of Computer Science and Software Engineering Malabe Sri Lanka Sri Lanka Institute of Information Technology Department of Computer Systems Engineering Malabe Sri Lanka

ISBN: (纸本)9781665408622

Rapid urbanization and increasing income levels combined with poor and insufficient road network to accommodate vehicles is causing a major traffic problem in Sri Lanka. Additionally, in urban areas, traffic congestion is leading to an increase in air and noise pollution as well. Numerous solutions were tried by authorities, yet no promising results were yielded to address these issues successfully. Contrastingly, increasing road network capacity to solve this problem is very costly and feasible only up to a certain point. Another option is to limit the number of vehicles in the city either by law or by alternative means such as ride-sharing. The best ride-sharing method available is the public transportation, however, due to the limitations of it, upper middle-class opt not to use those hence use their own vehicle to get the expected comfortability. This study is aimed at developing a ride-sharing application by profiling the users based on user reputations, vehicle type, socioeconomic variables such as education, social status, and security concerns of the users, and user ratings. Unlike existing carpooling applications that primarily depend on cost and destination to offer ride options, the proposed application further developed to consider the model of the vehicle for fare calculation. © 2021 ieee.

关键词： Traffic congestion

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The Influence of Electromagnetic Absorber Thickness on the Characteristics of the Filter based on Coupled Transmission Line

The Influence of Electromagnetic Absorber Thickness on the C...

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Informatics, Electronics, and Radio engineering (PIERE), International Conference Problems of

作者： Vyacheslav A. Trubcheninov Sergey V. Vlasov Yevgeniy S. Zhechev Department of Microwave and Quantum Radio Engineering Tomsk State University of Control Systems and Radioelectronics Tomsk Russia

ISBN: (数字)9798331516321

ISBN: (纸本)9798331516338

The study investigated the influence of electromagnetic absorber (EA) thickness on the time and frequency characteristics of a two-conductor microstrip transmission line (TL). The structure with EA applied as a coating for signal conductors on the outer sides was examined. The modeling, conducted using COMSOL Multiphysics software, analyzed parameters such as signal arrival time, interference amplitude at the output, cutoff frequency, and transmission and reflection coefficients. The EA thickness varied from 0 to 1000 µm in 200 µm increments. The results showed that at an EA thickness of 400 µm, effective suppression of ultra-wideband interference was achieved, with the interference arrival time increasing by 1.41 times and the interference amplitude decreasing by 2.8 times. At this thickness, the interference amplitude at the output decreased from 0.125 V to 0.035 V, the signal arrival time increased from 1.4 ns to 1.973 ns, and the cutoff frequency decreased from 3.1 GHz to 0.05 GHz. It was also found that further increasing the EA thickness did not lead to significant improvements in characteristics, indicating the need to optimize the use of materials based on their effective thickness. The practical significance of this work lies in the potential to improve the electromagnetic compatibility (EMC) of electronic equipment through the application of optimal EA thickness, enhancing resistance to ultra-wideband interference without significant changes to the device's design.

关键词： Time-frequency analysis Power transmission lines Cutoff frequency Interference Voltage Electromagnetic compatibility Electromagnetic absorbers software Reflection coefficient Ultra wideband technology

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Model Validation of Brushed DC Motor Based on NI ELVIS II as a Teaching Aid 3

Model Validation of Brushed DC Motor Based on NI ELVIS II as...

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3rd International symposium on Material and Electrical engineering Conference, ISMEE 2021

作者： Suryatini, Fitria Rifa'i, Afaf Fadhil Ulya, Kholifatul Bandung Polytechnic for Manufacturing Automation Engineering Department Bandung Indonesia

ISBN: (纸本)9781665423625

DC motor is one type of actuator which is still widely used in control technology both in industry and in households. DC motors have a fast response but can be tricked by controlling the system to produce maximum response Control generally uses PID control. To design the desired response can be done by simulation using a mathematical model that has been validated to represent the DC motor system well. Therefore, students need to be supported by interactive learning media with DC motor validation systems to improve abilities and competencies. This final project aims to design a model validation system of brushed dc motor as an interactive learning media. This model validation system uses LabVIEW as interface software and NI ELVIS II as controller hardware and system data acquisition. This final project produces a mechanical construction with two identical motors whose parameters will identify. Parameters to be searched are armature coil resistance, Rm, armature coil inductance, La, motor torque constant, Km, moment inertia, J, and viscous damping friction, B. Rm and La were determined from the static test, Km, B, and J determined from the dynamic test. The minimum RMSE value of the model validity occurs at a voltage of 3-12V with an RMSE value below 10%. The results of the questionnaire show that the respondents gave a score of 80% regarding the quality of the overall system interface. In addition, the interface of the DC motor model validation system is considered feasible to be used as a teaching aid. © 2021 ieee.

关键词： DC motors

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A customized knee brace for osteoarthritis patient using 3D printing a customized knee brace using 3D printing 3

A customized knee brace for osteoarthritis patient using 3D ...

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3rd International Conference on Intelligent Communication Technologies and Virtual Mobile Networks, ICICV 2021

作者： Elliot, C. Jim Gayathry, V. Pannertamil, A. Thiyam, Deepa Beeta Chezhiyan, Ponmozhi Benisha, M. Anisha, M. Thandaiah Prabu, R. Kalasalingam Academy of Research and Education Krishnankoil Department of Biomedical Engineering Virdhunagar Tamilnadu626126 India VelTech Rangarajan Dr. Sagunthala RD Institute of Science and Technology Avadi Department of Biomedical Engineering Chennai TamilNadu6000062 India Kalasalingam Academy of Research and Education Krishnankoil Department of Computer Application Virdhunagar Tamilnadu626126 India Jeppiaar Institute of Technology Sriperumpudur Department of Electronics and Communication Engineering Kunnam India

ISBN: (纸本)9780738111834

Study aim: Osteoarthritis is a progressive loss of articular cartilage in the synovial joint. There will be friction in between two bones resulting in inflammation, stiffness, and pain in joints like hands, fingers, hips, lower spine region, and knee joints. A knee brace is a tool that manages the discomfort;it shifts the body weight off from the damaged knee portion which results in reducing the pain. This research aims to build one such impactful model using the 3D printing method. Materials Methods: Solid scape rapid prototype systems were used in conjunction with three-dimensional computer-aided design (CAD) software to generate physical models of designs that can be directly investment-cast or used as masters for room temperature vulcanizing (RTV) silicone molding. Results: This design is capable of withstanding a static load of 60kg and a displacement load of 100kg in software simulation. Conclusion: The customized design and selective 3D printing filament are advantages of the brace which will provide structural strength and reduce the pain from the joints. This brace will help to bypass the body load at knee joints;hence the knee joints will be prevented from the direct load of body weight. © 2021 ieee.

关键词： 3D printers

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A Group Decision Description Language and its Clinical application 21

A Group Decision Description Language and its Clinical Appli...

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Proceedings of the 3rd World symposium on software engineering

作者： Liang Xiao KanYi Hu John Fox School of Computer Science Hubei University of Technology China School of Economics and Management Hubei University of Technology China Department of Engineering Science University of Oxford United Kingdom

ISBN: (纸本)9781450384094

Group decisions are crucial in solving complex problems successfully across many socio-technical contexts. The development of distributed group decision systems are problem-specific, literally with no systematic support and so a high level of variability in terms of their effects. There is a lack of generic and comprehensive manner that can support the description of the actual decision-making processes precisely. In this paper, we propose a group decision description language. The language consists of the constructs of agent, protocol, decision rule, and constraint for representing group decisions generically, flexibly, while maintaining local autonomy. A protocol of Triple Assessment for breast cancer has been used as an example to demonstrate its application. The language has been further applied to a Consensus Protocol and a Coordinator Election Protocol to demonstrate its expressiveness.

关键词： clinical protocol Agent group decision description language

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E-Learn Detector: Smart Behaviour Monitoring System to Analyze Student Behaviours during Online Educational Activities 3

E-Learn Detector: Smart Behaviour Monitoring System to Analy...

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3rd International Conference on Advancements in Computing, ICAC 2021

作者： Bamunuge, H.K.T. Perera, Hansika M. Kumarage, Sashinnka Savindri, P.A.P. Kasthurirathna, Dharshana Kugathasan, Archchana Sri Lanka Institute of Information Technology Department of Software Engineering Colombo Sri Lanka

ISBN: (纸本)9781665408622

With the rise of online education more attention is being paid to the deficiencies in online learning platforms. Online Learning environments aim to deliver efficacious instructions, but rarely take providing a conventional classroom experience to the students into consideration. Efficient detection of students' learning situations can provide information to teachers to help them identify students having trouble in real-time. This idea has been exploited several times for Intelligent Tutoring systems, but not yet in other types of learning environments that are less structured. E-Learn Detector is a web application solution to these existing issues in online learning which consists of unique features such as verifying the user during logging procedure and throughout an examination, detecting suspicious behaviors and presence of multiple users during online examinations and detecting low engagement levels of students during online lectures. E-Learn Detector is developed with the aim to provide guidance to students to improve their academic performance and behavior during classroom activities and to induce the best out of the educational activities. © 2021 ieee.

关键词： Students

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Effective Disease Recognition in Cucumbers: A Web-Based application Using Transfer Learning Models

Effective Disease Recognition in Cucumbers: A Web-Based Appl...

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Robotics, Automation, Artificial-intelligence and Internet-of-Things (RAAICON), 2019 ieee International Conference on

作者： Md Shahidur Rahman Asif Ahamed Md Nuruzzaman Pranto Md Ariful Islam Abdullah Al Masum Abdullah Al-Sakib S M Arafat Rahman Rezaul Haque Shafiur Rahman Dept. of Engineering Management Westcliff University CA USA College of Technology and Engineering Westcliff University CA USA Dept. of Business Administration International American University CA USA Dept. of Information Technology Westcliff University CA USA Dept. of Computer Science and Engineering East West University Dhaka Bangladesh Dept. of Software Engineering Daffodil International University Dhaka Bangladesh

ISBN: (数字)9798331534400

ISBN: (纸本)9798331534417

Cucumber farming plays a crucial role in Bangladesh's agricultural economy, significantly contributing to vegetable production. However, diseases like Downy Mildew, Bacterial Wilt, Anthracnose, and Belly Rot threaten crop quality and lead to financial losses. Effective management of these diseases is crucial for maintaining high crop yields and ensuring economic stability. Current disease identification methods are labor-intensive, costly, and dependent on expert knowledge. To address these challenges, this study presents an automated disease categorization system using advanced transfer learning models, including MobileNet, ShuffleNet, InceptionResNet-v2, AlexNet, and Ensemble Transfer Learning (ETL). Utilizing a dataset of 8,000 well-annotated images, enhanced through preprocessing techniques like GLRM feature extraction and InfoMAX-GAN feature selection, the ETL model achieved a remarkable accuracy of 99.79% and an F1-score of 99.78%. We also developed a user-friendly web tool for real-time diagnostics, providing invaluable support to farmers and agricultural specialists. This tool enables rapid disease detection, leading to increased productivity and a transformative approach to cucumber disease management. By reducing the reliance on chemical interventions, it promotes sustainable farming practices and safeguards human and animal health.

关键词： Deep learning Accuracy Animals Biological system modeling Transfer learning Feature extraction Real-time systems Chemicals Diseases Farming

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application of AI techniques for Face Mask Detection 4

Application of AI techniques for Face Mask Detection

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4th International Conference on Advances in Computing, Communication Control and Networking, ICAC3N 2022

作者： Arora, Metrey Arora, Yogesh Arora, Mamta Manav Rachna University Computer Science Department Haryana Faridabad India

ISBN: (纸本)9781665474368

Covid-19 is a completely new problem, and we have seen it move to a brand new level. After the 3rd wave of Covid-19 in India and predictions of another wave this year it is a major concern and still many people are not following basic precautionary measures like wearing a mask in public locations this can be solved by our face mask detection program we want to be short a good way to respond to new facts, which they are all around us. Growing a secure environment can be paramount the human to make lifestyles as smooth as ever. Alternatives have to be taken to protect all who go back and to maintain them our loved ones who have no troubles. New era packages are being made each day to satisfy regulations and regulations but, the face mask becomes a new well known used for regular existence, but, to create a more secure surroundings that contributes to public protection, a want to be diagnosed at some stage in date and motion towards people who do not put on masks in public locations or offices. Many sections of the general public appear to simply accept Covid adherence protection gear. A face masks detector is among the most crucial equipment. This software allows one to find out who does not have the desired face masks. Those applications with them current tracking systems and neural network algorithm to see if an individual has put on a mask or not. About this, we'll do discussion in short the synthetic intelligence and its small additives specifically device gaining knowledge of and in-intensity analysing, in-intensity reading frameworks followed with the aid of the usage of simplicity implementation of face masks detection machine. © 2022 ieee.

关键词： Deep learning

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