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Design & development of friction welding machine based on lathe machine

AIP Conference Proceedings 2022年第1期2578卷

作者： Ade Sunardi Mariyana Mariyana Adhes Gamayel M. N. Mohammed Mohamad Zaenudin 1Department of Mechanical Engineering Faculty of Engineering & Computer Science Jakarta Global University Grand Depok City Boulevard Raya No. 2 St. Depok City 16412 West Java Indonesia 2Department of Engineering & Technology Faculty of Information Sciences and Engineering Management & Science University University Drive Off Persiaran Olahraga 40100 Shah Alam Selangor Malaysia

The search of most efficient process to combine one material with others through welding is undergoing extensive research. Whether using solid-state or fusion welding, both techniques appear to have their own advantages and disadvantages. In solid-state welding, techniques that involve friction between the two to be welded materials, friction welding, have been gaining attention from researchers, since these techniques introduce a solid-state welding with a time-efficient process, excellent mechanical properties, and filler-free. In this study, we developed a friction welding machine based on lathe machine. The friction welding machine is designed with three main subsystems, they are braking system, holder chuck, and hydraulic system. The subsystems are then embedded to a lathe machine, giving it ability to perform a friction welding process, through three simple steps: (1) two samples are hold separately, one on the holder of lathe machine, whilst the other one is hold by a holder chuck; (2) the rotational movement is generate by lathe machine, and when it is achieve its desired rotational speed, then the holder chuck is pushed by the force given by hydraulic system completed with pressure gauge to generate friction forces between the two sample; (3) the sample is then hold for friction for a desired time, giving it time to generate heat from the friction before it release after finish the friction process. A preliminary results of friction welding has indicated that it has excellent strength as indicate by tensile test result. This study shows

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Internet connected patient healthcare monitoring in smart phones using Raspberry Pi

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AIP Conference Proceedings 2022年第1期2519卷

作者： Porandla Srinivas K. Kalimuthu C. Balarengadurai C. Viswanathan 1Department of Information Technology Malla Reddy Institute of Engineering and Technology Secunderabad Telangana India 2Department of Electronics and Communication Engineering SRM Institute of Science and Technology Kattankulathur Tamil Nadu India 3Department of Computer Science and Engineering Marri Laxman Reddy Institute of Technology and Management Dundigal Telangana India 4Department of Computer Science and Engineering Chennai Institute of Technology Malayambakkam Tamil Nadu India

Today the Environment of health has established research and knowledge based on Technology-oriented wireless sensing node. Patients are confronted with the problem of unanticipated death because of the particular cause of cardiac difficulties and attacks that occur at the necessary time owing to a lack of adequate care for patients. In contemporary health industry, the use of medical gadgets is significant, which is causing a lot of disruption in the patient’s space as well as the doctor’s analysis. As a result, we highlight our major healthcare electronics initiatives in this paper, with an emphasis on electronic medical records. Uniqueness and ease of use characterize the designed systems, which were planned with a very high level of efficiency (so-called "smarter" gadgets). It was created as a handheld gadget to allow for real-time rescue in the event of an accident without the requirement for continuous patient care of the data. We also show a low-cost computerized healthcare practice that can analyze respiratory activities in real time, non-invasively, and continuously.

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Macro mechanical and water absorption properties of composite laminates with novolac resin and e-glass/sisal fibers

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AIP Conference Proceedings 2022年第1期2446卷

作者： A. Vivek Anand P. Velmurugan R. Arvind Singh S. Jayalakshmi K. Srinivas Rao P. S. Prem Kumar 1Department of Aeronautical Engineering MLR Institute of Technology Hyderabad India 2Department of Mechanical Engineering Shri Ram Murti Smarak College of Engineering UP India 3School of Mechanical and Electrical Engineering Wenzhou University China 4Department of Computer Science and Engineering MLR Institute of Technology Hyderabad India 5Department of Aeronautical Engineering Kumaraguru College of Technology Coimbatore India

Natural fiber- reinforced composites are currently being researched for their selection and use in the industries spanning aerospace, automotive, ground transportation, and several other high- performance-critical end products. Two of the key reasons in favor for the selection and use of natural fibers are, their biodegradability coupled with an overall ease of availability that makes the production of engineered composites not only cost effective but also economically viable. However, the selection and use of natural fibers/matrix is curtailed primarily because of three competing drawbacks, namely (i) high moisture absorption, (ii) inferior mechanical properties, and (iii) poor interfacial bonding strength between fiber and matrix, when compared one-on-one with the synthetic fibers/matrix. Due to these reasons, natural fibers are often used in combination with synthetic fibers for engineering composites, so as to achieve a material that offers the possibility of improved performance at the desired level. In this research study, composite laminates with novolac resin and sisal/coir/E-glass fiber reinforcement (60:40) were fabricated using the hand lay-up method. The fabricated composite laminates were characterized for macromechanical properties, namely, tensile strength and water absorption test was conducted to explore the moisture absorption characteristics of composite laminates. Test results revealed the composite laminates with natural fibers/resins to possess many attributes in favor of their selection and use in structural components.

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A flexible framework for web-based virtual reality presentation of cultural heritage

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AIP Conference Proceedings 2021年第1期2333卷

作者： Dimo Chotrov Angel Bachvarov 1Technical University Sofia Faculty of Computer Systems and Technologies Department Programming and Computer Technologies Bulgaria 2Technical University Sofia Faculty of Mechanical Engineering Department Automation of Discrete Production Engineering Bulgaria

The Virtual Reality (VR) experiences are great for an engaging presentation creating wide public awareness of cultural heritage, especially if the experience is built on a web-based technology. One of the still posing challenges is that once an application has been developed, for example for a virtual museum or a virtual tour, it usually remains fixed to an embedded in the application model. Adding new functionalities or interaction paradigms needs additional development and new deployment. In this paper, we propose a framework, which achieves the decoupling of an experience from the used models and interaction paradigms through scene and input templates and configuration files. This allows an easy way for generation of a variety of experiences even by people with no or limited programming skills.

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Novel method of Braille-based system for visually impaired people

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AIP Conference Proceedings 2022年第1期2519卷

作者： X. S. Asha Shiny K. Vanisree P. Sivakumar J. Lenin 1Department of Computer Science and Engineering Nalla Malla Reddy Engineering College Hyderabad Telangana India 2Department of Electronics and Communication Engineering Samskruti College of Engineering and Technology Telangana India 3Department of Electronics and Communication Engineering GRT Institute of Engineering and Technology Tiruttani Tamil Nadu India 4Department of Information Technology Al Musanna College of Technology Muladdah Muscat Sultanate of Oman

This work mainly aims to solve many problems in communicating in the lives of a person with vision impairment. Most of us face India today as the home for the biggest number of blind people in the world. Day by day, technology is mostly developed in mobile communication, which has an important function to play. Only visually challenged persons can read the message on the touch screen of the display in the messaging application. However, the system quality is not acceptable since the blind persons are unable to properly distinguish the text. Braille technology is still utilised for reading purposes solely by the blinds. In our method of reading and answering messages from visually challenged persons utilising our Braille system. Blind persons can reach the messaging application on mobile phones like ordinary people with Braille technology. At the same time, keypads employing one message per user can deliver the information via Message simply based on the keypad selections. This technology allows untrained individuals to utilise the messaging application on a mobile system and then to utilise GSM to communicate with Easily Blind People.

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Model-Aided Data Driven Adaptive Target Detection for Channel Matrix-Based Cognitive Sonar

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Proceedings of Meetings on Acoustics 2022年第1期46卷

作者： Touseef Ali Akshay S. Bondre Christ D. Richmond 1School of Electrical Computer and Energy Engineering Arizona State University Tempe AZ 85281 USA tali4@asu.edu asbondre@asu.edu 2Department of Electrical and Computer Engineering Duke University Durham NC USA christ.richmond@duke.edu

Data driven-based approaches including deep neural networks (DNN) have shown promise in various fields. Such techniques tend to require significant training for good convergence. Model-based approaches, however, provide practical data efficient solutions often with insightful and intuitive interpretations. A hybrid approach that employs data driven techniques aided by knowledge from model-based approaches may help reduce required training and improve convergence rates. This work investigates the potential of deep learning techniques to detect radar targets while accelerating the learning process via use of expert/domain knowledge from model-based algorithms for channel matrix-based cognitive sonar/radar. The channel matrices characterize responses from target and clutter/reverberation. The architecture of the proposed DNN exploits the insights from the model-based generalized likelihood ratio test (GLRT) statistic presented in our previous work, and hence, the resulting DNN algorithm benefits from the merits of both the model-based and data-driven approaches. Our proposed DNN architecture utilizes the secondary data for clutter channel estimation via the maximum-likelihood approach, and thus, requires little to no retraining with the changing clutter environment. We compare the detection performance of model-aided deep learning-based algorithms with that of traditional model-based techniques and pure data-driven DNN approaches using receiver operating characteristic (ROC) curves from Monte Carlo simulations.

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Artificial intelligent based wild fire fighting machine using internet of things

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AIP Conference Proceedings 2023年第1期2690卷

作者： Anita Keshav Patil A. R. Rajini Vijaya Kumar Gudivada Neerugatti Varipallay Vishwanath S. Kayalvili Vikas Tripathi 1Department of Electronics and Telecommunication Dr.Vithalrao Vikhe Patil College of Engineering MIDC Vilad Ghat Ahmednagar -414111 Maharashtra India 2Department of Electronics and Communication Engineering Sri Sairam Engineering College Chennai Tamil Nadu -600044 India 3Department of Information Technology Nawab Shah Alam Khan College of Engineering and Technology New Malakpet Hyderabad-500024 Telangana India 4Department of Electronics and Communication Engineering St.Martins engineering college Hyderabad - 500003 Telangana India 5Department of Computer Science and Engineering Velalar College of Engineering and Technology Thindal Erode-638012 Tamilnadu India 6Department of Computer Science and Engineering Graphic Era Deemed to be University Dehradun-248002 Uttarakhand India

The WildFire is the most alarming threat in the ecosystem. Wildfire is one of the human-made or nature-made hazards. There is no such kind of propulsion methods involved in reducing this effect. The proposed system aims to resolve this problem by constructing a Fire fighting machine with an AI-based assistant model. It is now constructed as a field trial. The main aim of the Machine is to produce artificial rains through the drones which will be having the sodium bicarbonate for frosting the cloud to produce rain droplets and reduce the advent of the fire. Thus the data will be automatically be captured and stored in the cloud-based system through the Internet of Things. In this method, we are using Tensorflow for assisting the drones. According to the IoT cloud, the Think speaks is used because it is the open-source platform for accessing data module sets. It is the most efficient and reliable cloud database. The data stored in the cloud are used for providing the AI machines to train themselves with appropriate data to resolve the problem more accurately. The sensors are fixed in the soils and in the trees that tend to provide constant data’s about the change in the ecosystem so that the fire can be easily identified once it starts over.

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Semi-implicit multivalue almost collocation methods

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AIP Conference Proceedings 2022年第1期2425卷

作者： Dajana Conte Raffaele D’Ambrosio Maria Pia D’Arienzo Beatrice Paternoster 1Department of Mathematics University of Salerno Via Giovanni Paolo II 132 Fisciano - 84084 ITALY 2Department of Engineering and Computer Science and Mathematics University of L’Aquila Via Vetoio Loc. Coppito L’Aquila - 67100 ITALY

We propose a family of multivalue collocation methods for the numerical solution of differential problems, potentially candidate to be stiff. For this reason, the suggested numerical schemes have strong stability properties, such as A-stability. Moreover, in order to obtain an efficient implementation, it is desirable to impose the conditions gaining a structured coefficient matrix of the nonlinear system for the computation of the internal stages. The construction of these methods has been presented and the properties of the resulting formulae have been verified experimentally.

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Driving monitoring system for concentration using computer vision and machine learning methods on mobile phone

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AIP Conference Proceedings 2022年第1期2425卷

作者： Chia-Liang Lin Jwu-Jenq Chen Yung-Gi Wu 1Huzhou Univeristy Huzhou 313000 China 2Department of Interaction Design Chang Jung Christian University Tainan 71101 Taiwan 3Department of Computer Science and Information Engineering Chang Jung Christian University Tainan 71101 Taiwan

The car crash caused by unconcentrated driving always happens. Meanwhile, these car accidents not only crash cars, but also hurt innocent people. In order to avoid the accidents mentioned above, this study refers to a number of methods to detect driving concentration. Moreover, we find that detecting driving concentration for vehicle drivers is an important research gap. Therefore, we combined the computer vision method and proposed the driving monitoring system for concentration on mobile devices.

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A study on thermal characterisation of effective pyrotechnic flash compositions

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AIP Conference Proceedings 2022年第1期2520卷

作者： V. Ajith V. Arumugaprabu R. Ramalakshmi N. Indumathi 1Department of Mechanical Engineering Kalasalingam Academy of Research and Education Krishnankoil Tamil Nadu 626 126 India. 2Department of Computer Science and Engineering Kalasalingam Academy of Research and Education Krishnankoil Tamil Nadu 626 126 India. 3Department of Computer Applications Kalasalingam Academy of Research and Education Krishnankoil Tamil Nadu 626 126 India.

The pyrotechnic mixtures are highly explosive in nature. In this research a mixture of flash powder composition is used. The mixture is prepared by mixing aluminium, potassium nitrate and sulphur. In the manufacturing process of flash powder composition, the total weight consist of 23% of aluminium (grade 999), 57% of potassium nitrate and 20% of sulphur are added. Till date various accidents were reported during the manufacturing process of the flash composition. As an alternate for of this, five different mixture proportions were taken by varying components percentage level in the mixture. Subjected to various study those five different composition mixture are taken determine their effective function and also to understand their performance during processing and burning. Impact sensitivity experiment is performed for five different mixtures in order to determine the minimum energy which is required to initiate the firing and it has been analysed. Thermal Characteristics of five different composition were analysed using Differential Scanning Calorimeter (DSC) to determine the rate of heat flow with respect to time.

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