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UX and Industry 5.0: A Study in Repairing Equipment Using Augmented Reality 2nd

UX and Industry 5.0: A Study in Repairing Equipment Using Au...

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2nd International Conference on Intelligent Systems Design and Engineering Applications, ISDEA 2023

作者： Margolis, Iara Carrança, Alexandre Sousa, Nuno Rocha, José Santos, Eduardo Evangelista, Luis Ferreira, António Adão, Telmo Sousa, Emanuel Centro de Computação Gráfica Campus de Azurém Guimarães4800-058 Portugal Lab2PT University of Minho Guimarães4800-058 Portugal Postdoctoral Program Post Graduate Program of Design University of Pernambuco Recife50740-550 Brazil Doctoral Program on Information Systems and Technology University of Minho Campus de Azurém Guimarães4800-058 Portugal Sonae Arauco Maia4470-177 Portugal Centro ALGORITMI Campus de Azurém Guimarães4800-058 Portugal

ISBN: (纸本)9789819963027

Within the scope of industry 5.0, mixed reality (MR) is an eminent technology for problem solving and process optimization. The present research aimed to assess how users perceive an augmented reality (AR) application for diagnosis and intervention on industrial equipment. 18 participants with 3 different professional and technological backgrounds (general users (GU), information technology users (SD) and human centered design experts (HF)) took part in this study. Generally, the developed system was valued as slightly positive and some improvement points were identified. The results also revealed differences in the perceived User Experience (UX) between different user profiles. Also, there are important differences in perception depending on the person's analysis experience, with less rigor for new users and higher rigor for people who work with human factors, for example. This reinforce the concept of user centered design and the importance to understand the human being in its relation with the novel user interface and tendency to new technologies. © 2024, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Augmented reality

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Augmented Reality Towards Industry 5.0: Improving Voice and Tap Interaction Based on User Experience Feedback 2nd

Augmented Reality Towards Industry 5.0: Improving Voice and ...

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2nd International Conference on Intelligent Systems Design and Engineering Applications, ISDEA 2023

作者： Carrança, Alexandre Sousa, Nuno Rocha, José Santos, Eduardo Evangelista, Luis Ferreira, António Adão, Telmo Sousa, Emanuel Margolis, Iara Centro de Computação Gráfica Campus de Azurém Guimarães4800-058 Portugal Doctoral Program on Information Systems and Technology University of Minho Campos de Azurém Guimarães4800-058 Portugal Sonae Arauco Maia4470-177 Portugal Centro ALGORITMI Campos de Azurém Guimarães4800-058 Portugal Lab2PT University of Minho Guimarães4800-058 Portugal Postdoctoral Program Post Graduate Program of Design University of Pernambuco Recife50740-550 Brazil

ISBN: (纸本)9789819963027

EXtended Reality (XR) has numerous applications in industrial contexts, including to assist in activities such as preventive maintenance and/or reactive interventions in machinery, wherein time-effectiveness is required to mitigate the costs of inactive production lines or the need to subcontract specialized technicians to perform those operations. However, developing an Augmented Reality (AR) application capable of being user-friendly and truly serviceable for aiding in the referred context requires keeping in mind human factors as key aspects and, as such, interaction must be a concern to address, namely, considering user feedback. Therefore, starting from a previous AR system oriented to industrial interventions that was developed and assessed with users and considering the feedback of the participant, the duly alterations were done and a new test was conducted, with a total of 27 participants, divided into 2 groups: 11 users who participated in the first experience and 16 general users who had never contacted with the solution before. A qualitative improvement in the user experience was noticed from the questionnaires feedback. Points such as fluidity, responsiveness, ease, speed, and intuitiveness were highlighted. Voice commands matched the tap commands in terms of user preferences. © 2024, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Augmented reality

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Integrating Noise Classification and Speech Enhancement Model for Hearing Aids 21

Integrating Noise Classification and Speech Enhancement Mode...

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21st International System-on-Chip Design Conference, ISOCC 2024

作者： Hung, Ying-Hsiu Chang, Yen-Ching Lai, Shin-Chi Juang, Wen-Ho Sheu, Ming-Hwa Lee, Jeng-Dao National Yunlin University of Science and Technology Dept. Electronics Engineering Douliu Taiwan National Formosa University Doctoral Degree Program in Smart Industry Technology Research and Development Huwei Taiwan National Formosa University Dept. Automation Engineering Smart Machinery and Intelligent Manufacturing Research Center Huwei Taiwan National Formosa University Dept. Computer Science and Information Engineering Huwei Taiwan National Formosa University Dept. Automation Engineering Huwei Taiwan

ISBN: (纸本)9798350377088

As the global population ages, the number of elderly people needing hearing aids is increasing. This paper proposed an architecture designed to enhance speech based on noise conditions. After noise types are identified by a Convolutional Neural Network (CNN) noise classification model, these noise conditions are combined with the noisy speech and input into a conditional Generative Adversarial Network (cGAN) for speech enhancement. The CNN noise classification model achieves an average recognition accuracy of nearly 92%, with a Kappa value as high as 0.88. The cGAN speech enhancement achieves lower error values in the Mel-Cepstral Distortion (MCD) measure. Although some parts of the human voice may be filtered out, the results demonstrate the potential development of the proposed algorithm. © 2024 IEEE.

关键词： Generative adversarial networks

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Modifying the Revised NIOSH Lifting Equation using Anthropometric Variables to Calculate Horizontal and Vertical Multipliers

Modifying the Revised NIOSH Lifting Equation using Anthropom...

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International Conference on Cybernetics and Intelligent System (ICORIS)

作者： Moehamad Adi Rochmat Sarifuddin Madenda Tri Handhika Ernastuti Ernastuti Department of Industrial Engineering Gunadarma University Depok Indonesia Doctoral Program in Information Technology Gunadarma University Depok Indonesia Centre for Computational Mathematics Studies Gunadarma University Depok Indonesia Faculty of Industrial Technology Gunadarma University Depok Indonesia

ISBN: (纸本)9781665453967

The Revised NIOSH Lifting Equation is a work system assessment tool which often used in industrial world. The calculation result in the form of Recommended Weight Limit (RWL) and the Lifting Index (LI) become the basis for improving the work system carried out. RNLE is an application developed by NIOSH and uses American anthropometry as a constant in its calculations. Some researchers, especially in Asia, consider that the application is less suitable for Asia people who have anthropometric differences with Americans. The assessment carried out by the RNLE application is based on work activities carried out without considering the worker's body posture. In particular, the calculate of HM and VM in this application uses a constant related to anthropometry. RNLE uses the constants based on the average anthropometry of workers in calculation. The constant anthropometry used in the equation led to the results of the risk calculation that does not correspond to physical aspects of workers. It takes an equation that consider anthropometry workers to get the calculation of the value of the appropriate work risk. The study aims to propose equations that consider anthropometry factors to calculate the risk factor. The development of the equation with Python programming language allows further development in the field of information and communication technology. The results of the study shows that the average results of the RWL and LI calculation uses anthropometry data not equal to the RNLE, thus required new equation in order to resulting more objective risk value.

关键词： Asia Anthropometry Mathematical models information and communication technology Indexes Intelligent systems Cybernetics

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DEVELOPMENT of GEOSPATIAL information INTEGRATED with BIG DATA to AGRICULTURAL HAZARD MONITORING in WEST JAVA

DEVELOPMENT of GEOSPATIAL INFORMATION INTEGRATED with BIG DA...

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2022 Annual Conference, ASPRS 2022

作者： Virtriana, R. Riqqi, A. Anggraini, T.S. Fauzan, K.N. Ihsan, K.T.N. Mustika, F.C. Atmaja, F.W. Suwardhi, D. Harto, A.B. Sakti, A.D. Deliar, A. Soeksmantono, B. Wikantika, K. Remote Sensing and Geographic Information Sciences Research Group Faculty of Earth Sciences and Technology Institut Teknologi Bandung Bandung40132 Indonesia Center for Remote Sensing Institut Teknologi Bandung Bandung40132 Indonesia Center for Spatial Data Infrastructure Institut Teknologi Bandung Bandung40132 Indonesia Master Program of Geodesy and Geomatics Engineering Faculty of Earth Sciences and Technology Institut Teknologi Bandung Jl. Ganesha No.10 Bandung40132 Indonesia Doctoral Program of Geodesy and Geomatics Engineering Faculty of Earth Sciences and Technology Institut Teknologi Bandung Jl. Ganesha No.10 Bandung40132 Indonesia

Food security is highly dependent on three aspects, namely food availability, food access, and food utilization. The availability aspect depends on food supply which is identical to agricultural productivity. West Java Province is the third national rice producer with 16.6%, but West Java Province is the most extensive rice consumer, around 21.1% of the total national rice consumption. Agricultural productivity can decline due to natural hazards such as floods and droughts. Monitoring floods and droughts in paddy fields are necessary to prevent decreased agricultural productivity. This study aims to monitor the rice fields from the dangers of flooding and drought every month. Agricultural hazard monitoring is divided into two parameters, namely static parameters and dynamic parameters. Dynamic parameters are observed every month so that the hazard index is generated on a monthly scale. GIS and Remote sensing data are integrated to perform agricultural hazard modelling. Furthermore, this agricultural hazard modelling results will be strengthened by using big to provide information about an almost real-Time event that can be accessed through the Application program Interface (API) service. This study uses a data mining system from Drone Emprit that performs data mining on Twitter and news portals with machine learning technology (probabilistic classifier) and Natural Learning Process. The results obtained are around 15,000 data from January 1 to November 1, 2021, and 37.9% of them are identified by location based on the city or district level in West Java Province. It is hoped that the policy-maker can consider the area of agricultural land that requires assistance to increase productivity and plan a policy to support agriculture in West Java in the future. © 2022 R. Virtriana et al.

关键词： Agriculture

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A preliminary study on design and development of template-based for license plate recognition system applying artificial coordinates auxiliary techniques

A preliminary study on design and development of template-ba...

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IEEE International Conference on Industrial Engineering and Engineering Management, IEEM2010

作者： Shih, Bih-Yaw Chen, Chen-Yuan Kuo, Jin-Wei Chen, Po-Wei Chen, Tsung-Hao Chen, Chen-Wu Chung, Pei-Yin Lee, Wan-I Department of Computer Science National Pingtung University of Education No. 4-18 Ming Shen Rd. Pingtung 90003 Taiwan Doctoral Program in Management National Kaohsiung First University of Science and Technology Kaohsiung Taiwan Departments of Business Administration Shu-Te University Yen Chau Kaohsiung 82445 Taiwan Institute of Maritime Information and Technology National Kaohsiung Marine University Taiwan Department of Information Management Meiho University 23 Pingguang Rd. Neipu Pingtung Taiwan Marketing and Distribution Management National Kaohsiung First University of Science and Technology 2 Jhuoyue Rd. Nanzih Kaohsiung 811 Taiwan

ISBN: (纸本)9781424485031

With the rapid improvement of technology and economy, the percentage of transportation, like automobile, gradually increases. However, the number of cars increases, the methods of management stretches lots of problems, such as parking, traffic and thievery. Hence, Intelligent Transportation System (ITS) have been emphasized step by step and set up one after another around the world. In addition, ITS also established in Taiwan on July 20, 1998. ©2010 IEEE.

关键词： Template matching

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Integrating System Dynamics and Random Forest Algorithm for Sales Forecasting

Integrating System Dynamics and Random Forest Algorithm for ...

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IEEE International Symposium on Consumer Electronics (ISCE)

作者： Natalia Magdalena Rafu Mamulak Erma Suryani Jerry Dwi Trijoyo Purnomo Doctoral Program in Technology Management Interdisciplinary School of Management and Technology Institut Teknologi Sepuluh Nopember Surabaya Indonesia Department of Information Systems Institut Teknologi Sepuluh Nopember Surabaya Indonesia Department of Statistics Institut Teknologi Sepuluh Nopember Surabaya Indonesia

ISBN: (数字)9798350365191

ISBN: (纸本)9798350365207

This study proposes an approach to improve sales forecasting accuracy by integrating System Dynamics (SD) modeling with the Random Forest (RF) algorithm. The combination of these two methods offers a promising way to make sales predictions more reliable, especially in uncertain market conditions. Using SD principles within the RF algorithm helps us simulate expected sales growth, gain insights into market dynamics, and make our forecasting model more understandable to stakeholders. This study using synthetic sales data shows that the integrated approach is offered as an open idea and customizable, particularly in scenarios with dynamic growth patterns and feedback effects.

关键词： Radio frequency System dynamics Heuristic algorithms Predictive models Prediction algorithms Market research Stakeholders Reliability Forecasting Random forests

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Automatic Identification and Reconstruction 3D Image of the Rhinosinusitis Mucus

Automatic Identification and Reconstruction 3D Image of the ...

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International Conference of information and Communication technology (ICoICT)

作者： Ondra Eka Putra Sumijan Muhammad Tajuddin Department of Informatics Technology Faculty of Computer Science Universitas Putra Indonesia YPTK Padang Padang Indonesia Doctoral Program in Information Technology Universitas Putra Indonesia YPTK Padang Padang Indonesia Department of Computer Science Bumigora University Mataram Indonesia

ISBN: (数字)9798350363432

ISBN: (纸本)9798350363449

Rhinosinusitis Mucus is mucus produced by mucus glands found in the nose in the paranasal sinus area which indicates inflammation. Segmentation of rhinosinusitis mucus is very difficult to do because of the many characteristics of different objects in the image of the paranasal Sinus CT-Scan in separating the mucus object with its background before the extraction process. The purpose of this study was to accurately identify and measure the mucus area of rhinosinusitis from CT-scan images of rhinosinusitis patients. The test data used in this study is secondary data from CT-Scan of paranasal sinus sagittal view in radiology RSUP M. Djamil Padang, Padang City, West Sumatra, Indonesia, using the Philips Ingenuity CT CT-Scan model type MRC880 numbered Tube series 163889. The segmentation process is carried out to obtain the optimal multi threshold value from each slice of the test image using the Improved Adaptive Multi Threshold (IAMT) segmentation method which produces a binary image to separate the mucus object with its background before the extraction process. Furthermore, the results of IAMT are applied to the identification and extraction model automatically to obtain the area of the rhinosinusitis mucus object. The extraction results were used for 2D to 3D image reconstruction in calculating the volume of rhinosinusitis mucus objects. The test results showed that the smallest area of rhinosinusitis mucus was 0.516 cm 2 and the largest was 1.807 cm 2 , and the average volume was 0.95 cm 3 with Accuracy is 96,5%. The identified areas and volumes indicate inflammation in the area of the paranasal sinuses and require treatment. Thus, this study can help doctors in making the right decision to take further medical action.

关键词： Image segmentation Visualization Adaptation models Three-dimensional displays Computed tomography Urban areas Nose Radiology Object recognition Image reconstruction

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Optimation Cavacity Vehicle Routing Problem with K-Nearest Neighbor in Classification of Goods Ditribution Route

Optimation Cavacity Vehicle Routing Problem with K-Nearest N...

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International Conference of Computer Science and information technology

作者： Muhammad Syahputra Novelan Syahril Efendi Poltak Sihombing Herman Mawengkang Doctoral Program of Computer Science Faculty of Computer Science and Information Technology Universitas Sumatera Utara Medan Indonesia Department of Computer Science Faculty of Computer Science and Information Technology Universitas Sumatera Utara Medan Indonesia Department of Mathematics Faculty of Mathematics and Natural Sciences Universitas Sumatera Utara Medan Indonesia

Industrial and distribution service problems that belong to combinatorial optimization include vehicle routing with Vehicle Routing Problem. This research builds a framework and implements it in a multi-class optimization model to reduce overfitting and misclassification results caused by unbalanced multiclassification in the influence of the number of ‘nodes’ on vehicle routes with machine learning. The problem of imbalance in vehicle route classification has been a challenge in the classification process and attracted the attention of a number of researchers. The purpose of the model in general is to gain an understanding of the mechanism in the problem so as to classify the imbalanced vehicle route data based on JNE delivery routes. The solution method that will be used by applying k-nearest neighbor to determine the amount of carrying capacity of the goods will then determine the delivery location point with the vehicle routing problem. So that this model can be a model in determining vehicle routes based on the capacity limit of the number of shipments of goods.

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Comprehensive Evaluation of the Lakeside Café Point of Sale (POS) Application: A Synergistic Analysis Using SUS and EUCS Models

Comprehensive Evaluation of the Lakeside Café Point of Sale...

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International Seminar on Intelligent technology and Its Applications (ISITIA)

作者： Jonathan Arya Wibowo Rahmat Yasirandi Rio Guntur Utomo Rahmat Indra Pratama Anom School of Industrial Engineering Telkom University Bandung Indonesia Faculty of Information Technology King Mongkut’s Institute of Technology Ladkrabang Bangkok Thailand School of Computing Telkom University Bandung Indonesia Doctoral Program of Tourism Trisakti Institute of Tourism Jakarta Indonesia

ISBN: (数字)9798350378573

ISBN: (纸本)9798350378580

Lakeside Café, located in the Telkom University, processes approximately 80-100 drink transactions daily. Having used their current point-of-sale (POS) application for over a year, an urgent evaluation of its performance and user satisfaction is necessary to ensure ongoing efficiency. This study employs the System Usability Scale (SUS) model and the Extended Unified Theory of Acceptance and Use of technology (EUCS) model. This combined approach enhances the understanding of the application's strengths and identifies areas for improvement, forming a solid foundation for evaluating user satisfaction. The study reveals notable usability of the Lakeside Café POS application, evidenced by an SUS score of 78.8, ranking it as "ACCEPTABLE" and "GOOD." The EUCS model analysis further highlights potential enhancements, with the Content and Functionality dimensions scoring 3.5 and 3.65, respectively, indicating room for workflow process development. These findings emphasize the need for improved content delivery and strengthened application functionality to boost user satisfaction and maximize system performance. This research enriches the dialogue on technological acceptance, providing valuable insights for developers and stakeholders focused on advancing POS applications. The use of SUS and EUCS models offers a comprehensive evaluation method, fostering continuous advancements and innovations in digital solutions within the food and beverage sector.

关键词： Seminars Analytical models Technological innovation System performance Solids Stakeholders Beverage industry

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