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Journal articles on the topic 'Testing Machine Company'

Author: Grafiati

Published: 25 July 2024

Last updated: 31 July 2025

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1

Sibarani, Prince, Tanika D. Sofianti, and Aditya Tirta Pratama. "Improving the Overall Equipment Effectiveness (OEE) of Drum Testing Machine in Laboratory of Tire Manufacturing Using FMEA and PFMEA." Proceedings of The Conference on Management and Engineering in Industry 3, no. 3 (2021): 56–61. http://dx.doi.org/10.33555/cmei.v3i3.84.

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Drum testing is equipment to test tire capability in the highway prototype in the tire company. Overall Equipment Effectiveness (OEE) is used to measure the productivity of the equipment. OEE has declined and has not achieved the target from Jun 2019 until June 2020. The objectives of this research are to determine the fixed parameter in the OEE calculation at the Drum Testing and to increase the OEE for achieving the company target. Process Failure Mode Effects Analysis (PFMEA) and Failure Mode Effects Analysis (FMEA) help to identify potential failure mode and its consequences, and formulate

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Vijeta, Priya, and Vinila Jinny S. "An Investigation of Employee Attrition Prediction Using Machine Learning Algorithms." Research and Reviews: Advancement in Cyber Security 1, no. 1 (2023): 1–8. https://doi.org/10.5281/zenodo.10208409.

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<i>In an organization, employee attrition is a problem which is considered to be one of the most difficult to tackle. It is an established fact that, the employees are the major building blocks of any organization. Efficient employees add to the revenue, productivity, and efficiency of the company. But the companies face a major setback, when the employees start to leave the company, it rattles the HR people. It requires a bunch of dedicated and headstrong employees for any organization to flourish and produce effective results. So, it goes without saying that the employees are the most import

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C. M. Nalayani, Thanga Akilan .V, Hariharan .S, SaranArulnathan, and Venkatanathan .S. "Placement Analysis for Students using Machine Learning." September 2023 5, no. 3 (2023): 223–37. http://dx.doi.org/10.36548/jitdw.2023.3.001.

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Every University/College want their students to get placed in a good company with a better package. They create the syllabus so, that students will gain the most knowledge out of the study period. But they are not sure whether the students are getting trained with proper guidance and instruction to be placed. There is a need for metric to find the progress of the student’s placement. So, the student can speed up his/her preparation to meet the demands of the minimum criteria of placement. This metric is called the placement analysis system, it takes attributes like internships completed, paper

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Hayati, Mukti Asih, Kuan Eng Chong, and Mei Ph'ng Lee. "Simulation of mixed-load testing process in an electronic manufacturing company." TELKOMNIKA Telecommunication, Computing, Electronics and Control 17, no. 1 (2019): 408–16. https://doi.org/10.12928/TELKOMNIKA.v17i1.10146.

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The automatic testing machine, called by mixed-load tester, has ability to load and test multiple product families in different testing durations simultaneously. However, the high product mixes for each product family undergoes a different process flow. In addition, the capability of the robot inside tester used for loading and unloading a product to each slot makes the capacity planning problem more complicated. It effects low tester utilization. This paper developed simulation models of capacity planning scenarios under demand and testing time uncertainty. These scenarios are built by robust

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Mustika, Nadya Intan, Bagus Nenda, and Dona Ramadhan. "Machine Learning Algorithms in Fraud Detection: Case Study on Retail Consumer Financing Company." Asia Pacific Fraud Journal 6, no. 2 (2021): 213. http://dx.doi.org/10.21532/apfjournal.v6i2.216.

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This study aims to implement a machine learning algorithm in detecting fraud based on historical data set in a retail consumer financing company. The outcome of machine learning is used as samples for the fraud detection team. Data analysis is performed through data processing, feature selection, hold-on methods, and accuracy testing. There are five machine learning methods applied in this study: Logistic Regression, K-Nearest Neighbor (KNN), Decision Tree, Random Forest, and Support Vector Machine (SVM). Historical data are divided into two groups: training data and test data. The results sho

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Dos Santos Pereira, Alexandre, Marcelo Carneiro Gonçalves, Elpidio Oscar Benitez Nara, and Thales De Freitas Ferraz. "Application of machine learning methods in forecasting sales prices in a project consultancy." Produto & Produção 24, no. 2 (2023): 1–12. https://doi.org/10.22456/1983-8026.127422.

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The objective of this article is to apply a comparative analysis of machine learning techniques to predict project sales prices for a consulting company in the South of Brazil. The company is involved in various fields such as strategy, production, quality, and innovation. Due to this diverse range of projects, the company managers face challenges in accurately determining the sales value of new projects, as they deal with different types of predictor variables such as consultant type, project type, and number of hours. Hence, there is a need to utilize a method that can predict sales values t

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Efunogbon, Abimbola, Enjie Liu, Renxie Qiu, and Taiwo Efunogbon. "Optimal 5G Network Sub-Slicing Orchestration in a Fully Virtualised Smart Company Using Machine Learning." Future Internet 17, no. 2 (2025): 69. https://doi.org/10.3390/fi17020069.

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This paper introduces Optimal 5G Network Sub-Slicing Orchestration (ONSSO), a novel machine learning framework for dynamic and autonomous 5G network slice orchestration. The framework leverages the LazyPredict module to automatically select optimal supervised learning algorithms based on real-time network conditions and historical data. We propose Enhanced Sub-Slice (eSS), a machine learning pipeline that enables granular resource allocation through network sub-slicing, reducing service denial risks and enhancing user experience. This leads to the introduction of Company Network as a Service (

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Muhammad Yafi D and Rusindiyanto Rusindiyanto. "Perancangan Mesin Analisa Potongan Pellet Otomatis Menggunakan Software Blender Dengan Metode MDLC." Jupiter: Publikasi Ilmu Keteknikan Industri, Teknik Elektro dan Informatika 3, no. 1 (2024): 128–38. https://doi.org/10.61132/jupiter.v3i1.672.

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PT XYZ) is a company which focuses on integrated aquaculture. Operating since 1987, PT XYZ has a fish and shrimp feed factory, fish and shrimp breeding and rearing as well as marine fish food processing and cold storage for local and global markets. At PT XYZ, especially the Quality Control division, there are still ineffective analysis activities, namely piece length analysis. An effort to increase productivity is by designing an automatic cut length analysis machine with the aim of maximizing efficiency and effectiveness. Therefore, the objective function of this research was carried out to

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Hasibuan, Agung Setiawan, Suendri Suendri, and Fathiya Hasyifah Sibarani. "Web Based Production Scheduling Information System for a Shrimp Paste Factory Utilizing the Waterfall Method." Journal of Computer Networks, Architecture and High Performance Computing 6, no. 4 (2024): 1781–91. http://dx.doi.org/10.47709/cnahpc.v6i4.4801.

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Communication was essential in various aspects of life due to the rapid development of information technology, including in the management of educational institutions and companies. PT. Sumber Nelayan Indonesia faced issues in production scheduling, where the process was still done manually using bookkeeping. This caused delays in order fulfillment, primarily due to machine breakdowns and human resource challenges that impacted the production process. Additionally, the company struggled to manage order data and machine capacity, making it difficult to estimate order completion times and the am

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Guryanova, Lidiya S., Oleksiy S. Yevsyeyev, Oksana V. Panasenko, and Oleksandr O. Laptiev. "Business Decision-Making in the Video Game Market: Machine Learning Methods." Business Inform 12, no. 563 (2024): 147–53. https://doi.org/10.32983/2222-4459-2024-12-147-153.

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The article demonstrates that the product IT business, in particular the video game market, is characterized by high rates of development, which attracts an increasing number of companies to this segment and at the same time leads to increased competition that is global in its nature. This necessitates developing relevant decision-making models. The carried out analysis showed that at present considerable attention is paid to the use of machine learning methods in various circuits of managing the marketing activities of product IT companies, in particular gaming IT: strategic, tactical, operat

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Porter, S. J., J. P. Chadwick, M. G. Owen, and S. J. Page. "Evaluation of seven ultrasonic machines for estimating carcase composition in live bulls." Proceedings of the British Society of Animal Production (1972) 1988 (March 1988): 46. http://dx.doi.org/10.1017/s0308229600016846.

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The application of ultrasonics to the evaluation of live cattle has been carried out in bull performance testing for several years. The machine used for this was the Scanogram. The fact that this machine is no longer being produced and the emergence of several new machines has prompted this trial to evaluate seven ultrasonic machines.A total of 49 bulls, 27 Limousin x Friesian and 22 Charolais x Friesian, were evaluated and slaughtered in four batches of approximately equal size, over four weeks. Each batch was of one breed.Age, live weight at evaluation and subjective assessments of fatness a

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Simangunsong, Jumadi, Nindhia Hutagaol, and Faizal Asrul Pasaribu. "Implementasi Aplikasi Internal Service Order (ISO) Berbasis Web pada Perusahaan Manufaktur Furniture." Jurnal Informatika: Jurnal Pengembangan IT 9, no. 2 (2024): 151–63. http://dx.doi.org/10.30591/jpit.v9i2.6813.

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Technological advancements and competitive challenges in the industrial sector have driven an increasing need for information systems. The implementation of information systems is believed to significantly enhance a company’s operational effectiveness and efficiency. In the furniture manufacturing industry, production machines are critical assets that require regular maintenance. PT Ebako Nusantara operates more than 200 production machines. Overall, the demand for machine repairs at PT Ebako Nusantara is managed manually, leading to frequent delays and difficulties in tracking repair history.

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Camille Merlin S. Tan and Lawrence Y. Materum. "Cleanroom Dashboard System for Time-Reduction Checking of Disk Tester Availability." Journal of Advanced Research in Applied Sciences and Engineering Technology 43, no. 2 (2024): 237–57. http://dx.doi.org/10.37934/araset.43.2.237257.

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With the vast amount of data being processed and reviewed in production and manufacturing industries nowadays, it takes a lot of time and effort to keep track of their performance metrics. Developing an automation system to improve the overall system performance and reduce man-machine interactions is necessary. Prior to the work, a computer disk drive manufacturing facility checked its fixed-tester availability manually, which made the company unable to optimize its man and machine hours as much as possible. This work proposes a system that displays all the critical information in a dashboard

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Sutrisno, Niantoro, Rizka Faradila, Rizka Faradila, Edison P. Sirait, and Edison P. Sirait. "PENGARUH KAPASITAS MESIN DAN JUMLAH PERSEDIAAN BAHAN BAKU TERHADAP VOLUME PRODUKSI." Jurnal Akuntansi dan Bisnis 10, no. 01 (2024): 15. http://dx.doi.org/10.47686/jab.v10i01.680.

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Background of this research based on data’s observational at a company relating to capacity, amount of raw material inventory and production volume where the phenomena that occur still need to be optimized. This research uses a quantitative approach and uses primary data as a data source obtained from the results of questionnaires distributed to respondents related to activities in accordance with the specified research variables. The analytical methods used are instrument testing, classical assumption testing, multiple regression analysis, hypothesis testing and coefficient of determination (

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15

Qu, Ju Bao, and Shu Juan Wang. "Intelligent Quality Control System Based on Machine Vision of Multi-Line." Applied Mechanics and Materials 513-517 (February 2014): 1192–96. http://dx.doi.org/10.4028/www.scientific.net/amm.513-517.1192.

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Testing for a variety of different industrial objects, this paper designed a multi on-line machine vision based on intelligent quality control system solutions. Microvision based on the company introduced the MV-8002 image acquisition card and the MV-VS1394 camera visual inspection of industrial software and hardware structure and the working principle of a high-speed online learning model of intelligent foreign recognition, it described the image acquisition card and the camera with the application and the software development. by the applications case, and the further evidence of the reliabi

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Siti Nur Syamimi Mat Zain, Nor Azuana Ramli, and Rose Adzreen Adnan. "CUSTOMER SENTIMENT ANALYSIS THROUGH SOCIAL MEDIA FEEDBACK: A CASE STUDY ON TELECOMMUNICATION COMPANY." International Journal of Humanities Technology and Civilization 7, no. 2 (2022): 54–61. http://dx.doi.org/10.15282/ijhtc.v7i2.8739.

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Customer sentiment analysis is an automated way of detecting sentiments in online interactions in order to assess customer opinions about a product, brand or service. It assists companies in gaining insights and efficiently responding to their customers. This study presents a machine learning approach to analyse how sentiment analysis detects positive and negative feedback about a telecommunication company’s products. Customer feedback data were taken from Twitter through Streaming API (Application Programming Interface), where Tweets are retrieved in real time based on search terms, time, use

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17

Srisattayakul, Parinya, Charnnarong Saikaew, Anurat Wisitsoraat, and Naphatara Intanon. "Influence of MoN Sputtering Coating on Wear Resistance of a Fishing Net-Weaving Machine Component." Advanced Materials Research 1016 (August 2014): 80–84. http://dx.doi.org/10.4028/www.scientific.net/amr.1016.80.

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Wear resistance of an upper hook, an important fishing net-weaving machine component manufactured from stainless steel, was improved by systematically investigating the influence of molybdenum nitride (MoN) sputtering coating using experimental design. Three factors of MoN coating on upper hooks including DC current, operating pressure, and Ar/N2ratio were studied and optimized for minimum wear of the machine component. After conducting wear testing on the fishing net-weaving machine in a participating company, it was found that the three coating factors influenced the wear of the machine comp

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18

Weick, S., M. Grosse, and M. Steinbrueck. "The INCHAMEL facility – a new device for in-situ neutron investigations under defined temperatures with applicable mechanical load." Journal of Physics: Conference Series 2605, no. 1 (2023): 012035. http://dx.doi.org/10.1088/1742-6596/2605/1/012035.

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Abstract In order to in-situ quantify the hydrogen diffusion in metals or more precisely in zircaloy cladding tubes with the influence of an applied stress field, a new device was constructed in cooperation with the company ZwickRoell - the transportable INCHAMEL facility. It is a modification of ZwickRoell’s Kappa Mini 1 kN tensile testing machine. The facility is equipped with all features of a tensile testing machine, additionally a defined temperature can be applied. The machine’s design was dedicated in detail to fulfil the requirements for the usage in facilities with neutron radiation.

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Cadiente, Kit Arvin R., Rafael A. Castro, Elia Van A. Gica, Kathrice Marie C. Mora, and Joan V. Ternio. "Applying Vulnerability Assessment and Penetration Testing (VAPT) and Network Enhancement on the Network Infrastructure of Journey Tech Inc." Innovatus 3, no. 1 (2020): 62–73. https://doi.org/10.5281/zenodo.5173079.

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The purpose of this project is to establish a Vulnerability Management process for Journey Tech Inc., to be periodically conducted by their organization as it is important for an organization to perform continuous vulnerability management and remediation so weaknesses and vulnerabilities may be discovered before they can be exploited. The Vulnerability Assessment and Penetration Testing Work Flow was used as the methodology as it comprises all of the necessary steps to the VAPT process such as Vulnerability Detection, Attack and Penetration, and Remediation. The implementation of the project o

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Bhaskara, Praseta Citra, and Y. b. Dwi Setianto. "EARLY ANOMALY PREDICTION OF MACHINE DAMAGE USING C4.5 ALGORITHM BASED ON IOT." Proxies : Jurnal Informatika 4, no. 2 (2024): 97–109. http://dx.doi.org/10.24167/proxies.v4i2.12438.

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Machine condition is a problem that is difficult to predict, prediction of machine condition is an important aspect in the application of maintenance because the occurrence of damage can result in a decrease in the productivity of a company. Measurement of vibration, temperature, and machine displacement is a fairly good method to determine the condition of the machine because it is an indicator of mechanical conditions and an early indicator of damage to the machine as a whole, Application of Algorithms in processing vibration, temperature and machine displacement data to improve the prognosi

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Saikin, Saikin, Sofiansyah Fadli, and Maulana Ashari. "Optimization of Support Vector Machine Method Using Feature Selection to Improve Classification Results." JISA(Jurnal Informatika dan Sains) 4, no. 1 (2021): 22–27. http://dx.doi.org/10.31326/jisa.v4i1.881.

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The performance of the organizations or companiesare based on the qualities possessed by their employee. Both of good or bad employee performance will have an impact on productivity and the impact of profits obtained by the company. Support Vector Machine (SVM) is a machine learning method based on statistical learning theory and can solve high non-linearity, regression, etc. In machine learning, the optimization model is a part for improving the accuracy of the model for data learning. Several techniques are used, one of which is feature selection, namely reducing data dimensions so that it c

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Diana Puspitasari and Tata Sutabri. "Analisis Sentimen Berdasarkan pada Twitter (X) terhadap Layanan Indihome Menggunakan Algoritma Support Vector Machine (SVM)." JUMINTAL: Jurnal Manajemen Informatika dan Bisnis Digital 3, no. 2 (2024): 58–71. https://doi.org/10.55123/jumintal.v3i2.4449.

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One of the social media with 24.85 million active users is Twitter. Information published on Twitter can be in the form of user opinions on an object, such as a product or service. Therefore, the company utilizes Twitter as a medium to disseminate information. This makes the company use Twitter as a medium to disseminate information. An example is an Internet Service Provider (ISP) company such as Indihome. Through Twitter, users can discuss their complaints and satisfaction with Indihome services. A method is needed, namely sentiment analysis to understand whether the textual data includes ne

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Siddiqui, Atif, Muhammad Yousuf Irfan Zia, and Pablo Otero. "A Universal Machine-Learning-Based Automated Testing System for Consumer Electronic Products." Electronics 10, no. 2 (2021): 136. http://dx.doi.org/10.3390/electronics10020136.

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Consumer electronic manufacturing (CEM) companies face a constant challenge to maintain quality standards during frequent product launches. A manufacturing test verifies product functionality and identifies manufacturing defects. Failure to complete testing can even result in product recalls. In this research, a universal automated testing system has been proposed for CEM companies to streamline their test process in reduced test cost and time. A universal hardware interface is designed for connecting commercial off-the-shelf (COTS) test equipment and unit under test (UUT). A software applicat

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Siddiqui, Atif, Muhammad Yousuf Irfan Zia, and Pablo Otero. "A Universal Machine-Learning-Based Automated Testing System for Consumer Electronic Products." Electronics 10, no. 2 (2021): 136. http://dx.doi.org/10.3390/electronics10020136.

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Consumer electronic manufacturing (CEM) companies face a constant challenge to maintain quality standards during frequent product launches. A manufacturing test verifies product functionality and identifies manufacturing defects. Failure to complete testing can even result in product recalls. In this research, a universal automated testing system has been proposed for CEM companies to streamline their test process in reduced test cost and time. A universal hardware interface is designed for connecting commercial off-the-shelf (COTS) test equipment and unit under test (UUT). A software applicat

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Sunarti, Sunarti, Hie Ling Ting, Tiksno Widyatmoko, and Herri Akhmad Bukhori. "Assessment of Students in Online Industrial Practice Activities Using Machine Learning Based on Mobile Application." Briliant: Jurnal Riset dan Konseptual 7, no. 2 (2022): 364. http://dx.doi.org/10.28926/briliant.v7i2.926.

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All of the learning in the pandemic era uses online learning including practical in the industry that should do all of the students to apply their knowledge. The practical industry online is very difficult to assement students that the assessment is given from both company and the university. Companies have many parameters to assessment and each company has different parameters. This study uses 14 parameters that are generally used in assessment for practical students and the university side using 10 parameters. The problem is that every parameter has a different weight than it makes it confus

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Sibarani, Ayu Anggraeni, Sugeng Waluyo, Muhammad Baharuddin Wahid Tosalili, and Hilda Lutfiana. "An Approach to Combine House of Quality and Finite Element Method in Redesigning of Rotary Shaft Multi-Spindle Wheel Nutrunner Machine." Jurnal Teknik Industri 26, no. 1 (2024): 37–48. http://dx.doi.org/10.9744/jti.26.1.37-48.

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An engineering-to-order company has developed multi-spindle wheel nutrunner machines for automotive wheel mounting. The rotating shaft component that supports that machine has experienced compressive and twisting stress during operation, resulting in damage not only to the shaft but also some parts attached to the wheel. This study uses the house of quality (HOQ) and finite element method (FEM) approaches to redesign the rotary shaft to meet quality standards for its engineers, as customers, in a systematic way by using qualitative data from interviews, documents, and questionnaires provided b

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Rian, Hesti, Handa Gustiawan, and Arifin Wira Wicaksana. "Perancangan Sistem Informasi Pelaporan Hasil Monitoring Mesin Grinder Berbasis Web." Jurnal Teknologi Informatika dan Komputer 10, no. 2 (2024): 712–19. https://doi.org/10.37012/jtik.v10i2.2355.

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This study aims to design and build a web-based grinder machine monitoring result reporting information system. The grinder machine is a crucial part of the production process, so monitoring its performance is very important to ensure efficiency and product quality. The information system developed aims to automate the process of collecting, analyzing, and reporting grinder machine performance data. The methodology used in this study includes needs analysis, system design, implementation, and system testing. This system is built using web-based technology to facilitate access and integration w

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Novotný, Lubomír W., and Oldřich Učeň. "Methodology of Geometry Testing and Measuring of Machine Tool Components Having Big Dimensions and their Verification Using the FEM Method." Applied Mechanics and Materials 821 (January 2016): 378–84. http://dx.doi.org/10.4028/www.scientific.net/amm.821.378.

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The paper deals with the issue of geometric precision measuring at large parts (especially at castings having big dimensions) in their manufacturing stage. The large parts of machinetool frames are required to have their geometric tolerances in thousandths of millimetres. The production or cooperation abilities of the particular company must be adapted to these demands and it is also necessary to adapt the company metrological equipment and measuring procedures to them. The standard measuring equipment cannot be used in most cases, because the particular parts are too large. For this reason, i

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Pereira, Filipe, Luís Magalhães, Adriano A. Santos, António Ferreira da Silva, Katarzyna Antosz, and José Machado. "Development of an Automated Wooden Handle Packaging System with Integrated Counting Technology." Machines 12, no. 2 (2024): 122. http://dx.doi.org/10.3390/machines12020122.

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Manual counting and packaging processes often involve repetitive, error-prone tasks. Specifically, packaging wooden handles, utilized in gardening tools and cutlery, typically relies on labor-intensive methods with dimensions varying in diameter, length and mass. These variations complicate packaging, requiring precise counting and diverse handling solutions. This article introduces an automated counting structure tailored for a wide array of wooden handles manufactured by a company in northern Portugal. Employing standardized mechanical design methodologies, we delineate crucial stages encomp

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Zhou, Bing, and Jing Hui Zhao. "Design of Temperature Control System for Thermocouple Verification Based on Virtual Instrument Technology." Advanced Materials Research 706-708 (June 2013): 742–47. http://dx.doi.org/10.4028/www.scientific.net/amr.706-708.742.

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The thermocouple calibration temperature control system is constructed USB - 4716 200 ks/s, 16 multi-function USB module, JKH-C series thyristor phase shift trigger, PC machine as the main hardware, the U.S. National Instrument (NI) company Labview as the software development platform. According to the precious metal, base metal thermocouple wire thermoelectric EFM method to determine the temperature test point, the temperature control system using automatic control to test furnace temperature, and realize the visual operation interface. Temperature control accuracy: temperature deviation cali

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Mailasari, Mely, Monikka Nur Winnarto, and Annida Purnamawati. "Penerapan Metode Waterfall dalam Pengembangan Aplikasi Schedule Maintenance Alat Produksi." Infotek : Jurnal Informatika dan Teknologi 7, no. 1 (2024): 132–40. http://dx.doi.org/10.29408/jit.v7i1.24080.

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PT. Shiroki Indonesia Cikarang is moving on the field of automotive spare parts manufacturing such as window regulator, seat recliner, sear track as well as floor lock. The activity uses a tool/machine as a support to produce spare parts that have good quality. With so many of these machines, then the company needs to do the maintenance and also the maintenance of the machine well. Scheduling of maintenance and maintenance of machinery production equipment still uses the record on board and requires information from the operator to be submitted to the technician. Therefore, it is necessary to

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Dauitbayeva, A. O. "MODERN METHODS OF MACHINE LEARNING AND ANALYTICS." ТЕХНИКА ҒЫЛЫМДАРЫ ЖӘНЕ ТЕХНОЛОГИЯ 7, no. 3 (2024): 12–19. https://doi.org/10.52081/tst.2024.v03.i7.039.

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The article proposes algorithms for processing big data to optimize business processes. The methods of data integration, distributed computing and machine learning for analysis and forecasting are considered. Testing on business cases has shown cost reduction and increased accuracy of solutions, confirming the practical value of the developed approaches. In the modern world, the volume of data is growing exponentially, thanks to the development of technology and the ubiquity of digital devices. Petabytes of information are generated daily: This is data from social networks, electronic devices,

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Jendrysik, Klaudia, Monika Kiecana, and Hubert Szabowicz. "Preliminary results of dry Deep Soil Mixing soil-cement composite testing." MATEC Web of Conferences 251 (2018): 01025. http://dx.doi.org/10.1051/matecconf/201825101025.

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This paper provides results of testing made for soil-cement mixtures in dry mixing technology. This technology is greatly dependent on existing soil condition; hence the results are of highly random nature. Material used in testing was distinguished with high organic content and low humidity. Tests were carried out in laboratory of Wroclaw University of Technology on 145 samples as ordered by Menard Polska Ltd. Company. Samples were prepared and stored under laboratory conditions and then, after various maturation time, were destroyed in a testing machine. The purpose was to determine the stre

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Zhang, Chun Qing. "The Test System of Submersible Motors Performance Based on LabVIEW." Applied Mechanics and Materials 538 (April 2014): 335–38. http://dx.doi.org/10.4028/www.scientific.net/amm.538.335.

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This paper introduces testing system of submersible motor that used for oil field based on virtual instruments. The system can detect, analyze, process and acquire data by national instruments’ graphical programming 1anguage，LabVIEW and DAQ board. It has a perfect man-machine interface. Because of its successful application in factory, work efficiency is improved greatly. IntroductionSubmersible motor is the power component of the submersible which performance affects the normal operation of the whole unit. With the development of production, varieties and yield of the machine are increasing a

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Arifin, Arifin, Syaiful Anam, and Marsudi Marsudi. "Combination of Extreme Learning Machine and Binary Bat Algorithm for Customer Churn Prediction." CAUCHY: Jurnal Matematika Murni dan Aplikasi 10, no. 1 (2025): 428–41. https://doi.org/10.18860/cauchy.v10i1.31815.

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AbstractOne of the important assets in a company is customers. Customers determine the company's stability because they are source of income and determine the company's competitiveness. It shows the importance of predicting which customers have the potential to switch to another company. These predictions can be done using Machine Learning (ML). One of ML methods is the Extreme Learning Machine (ELM). The advantages of ELM compared to other methods are fast computing time, ease of use, and can reach a global optimum. However, ELM has weaknesses when solving problems with high-dimensional datas

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Nikam,, Snehal. "MACHINE LEARNING AND NLP BASED RESUME PARSING FRAMEWORK FOR E-RECRUITMENT." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 05 (2024): 1–5. http://dx.doi.org/10.55041/ijsrem34059.

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The growth of the Indian recruitment market has led to the emergence of specialized recruitment agencies that leverage machine learning models to streamline the recruitment process and deliver the right talent to their clients. So, the proposed model has the potential benefits of the ML model to modify the hiring process and make it more efficient and fairer. By using NLP approaches, you can extract valuable information from resumes and provide accurate ratings based on the requirements of the company. With careful testing and refinement, your web portal could be a valuable resource for both j

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Janásek, Adam, Robert Čep, Lenka Čepová, Jiří Kratochvíl, Vladimír Vrba, and Lenka Petřkovská. "Tool Life Reliability of Indexable Cutting Inserts." Technological Engineering 9, no. 2 (2012): 30–34. http://dx.doi.org/10.2478/teen-2012-0008.

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Abstract This paper presents experimental testing of the cutting ability for indexable cutting inserts. The main goal will be to select a suitable test for determine the cutting abilities of cutting inserts. Nowadays all manufacturers want to achieve lower cutting forces so can permit higher speeds and feeds, without increasing the risk of chipping. For evaluating we had to design such testing procedure that it would be possible to compare and evaluate the cutting ability of the selected cutting inserts used for tests. In today’s competitive global market, quality and precision is the most imp

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Amarnath, Raveendra N., and Gurumoorthi Gurulakshmanan. "Cloud-based machine learning algorithms for anomalies detection." Indonesian Journal of Electrical Engineering and Computer Science 35, no. 1 (2024): 156. http://dx.doi.org/10.11591/ijeecs.v35.i1.pp156-164.

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Gradient boosting machines harnesses the inherent capabilities of decision trees and meticulously corrects their errors in a sequential fashion, culminating in remarkably precise predictions. Word2Vec, a prominent word embedding technique, occupies a pivotal role in natural language processing (NLP) tasks. Its proficiency lies in capturing intricate semantic relationships among words, thereby facilitating applications such as sentiment analysis, document classification, and machine translation to discern subtle nuances present in textual data. Bayesian networks introduce probabilistic modeling

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Amarnath, Raveendra N., and Gurumoorthi Gurulakshmanan. "Cloud-based machine learning algorithms for anomalies detection." Indonesian Journal of Electrical Engineering and Computer Science 35, no. 1 (2024): 156–64. https://doi.org/10.11591/ijeecs.v35.i1.pp156-164.

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Gradient boosting machines harnesses the inherent capabilities of decision trees and meticulously corrects their errors in a sequential fashion, culminating in remarkably precise predictions. Word2Vec, a prominent word embedding technique, occupies a pivotal role in natural language processing (NLP) tasks. Its proficiency lies in capturing intricate semantic relationships among words, thereby facilitating applications such as sentiment analysis, document classification, and machine translation to discern subtle nuances present in textual data. Bayesian networks introduce probabilistic modeling

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Carlos, José C., Pedro M. Amaral, Adriano Coelho, Andre Tavares, Jorge C. Fernandes, and Luís G. Rosa. "Optimisation of Circular Sawing Conditions to Maximize Tool Productivity for each Class of Material." Key Engineering Materials 548 (April 2013): 106–14. http://dx.doi.org/10.4028/www.scientific.net/kem.548.106.

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The research disclosed in the present paper reports a new computer algorithm to maximize tool productivity in circular sawing processes, as a function of the stone characteristics and the quality required for the product. This algorithm is currently applied in tool testing at the company FrontWave and will be used in a new type of numeric machine to cut stone, called LeanMachine®. This optimization algorithm essentially depends on three variables: cutting depth, forward speed and rotational speed (identified as the main variables quantifying the sawing process), and how the variables are relat

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Song, Qinghua, Tao Hu, Sattva S. Neelapu, et al. "Prediction of Early Onset Cytokine Release Syndrome and Neurologic Events after Axicabtagene Ciloleucel in Large B-Cell Lymphoma Based on Machine Learning Algorithms." Blood 138, Supplement 1 (2021): 2833. http://dx.doi.org/10.1182/blood-2021-148580.

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Abstract Background: In ZUMA-1, the pivotal study of axicabtagene ciloleucel (axi-cel) in patients with refractory large B-cell lymphoma (LBCL), Grade ≥3 cytokine release syndrome (CRS) and neurologic events (NEs) occurred in 13% and 28% of patients, respectively, and required intensive in-patient management (Neelapu, et al. NEJM. 2017;377:2531). With increased safety experience, the management of CRS and NEs has been under evaluation in several exploratory safety management cohorts of ZUMA-1. Cohort 4 evaluated levetiracetam prophylaxis and earlier corticosteroid and/or tocilizumab use on the

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Medyanti, Wikke Alvina, and Muhammad Faisal. "Early Prediction System for Employee Attrition Company “XYZ” Using Support Vector Machine Algorithm." CESS (Journal of Computer Engineering, System and Science) 8, no. 2 (2023): 429. http://dx.doi.org/10.24114/cess.v8i2.46494.

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Pergantian karyawan merupakan masalah yang signifikan bagi organisasi karena dapat berdampak negatif pada produktivitas dan kinerja. Dalam penelitian ini, dikembangkan sebuah model Support Vector Machine (SVM) untuk memprediksi pergantian karyawan berdasarkan dataset yang berisi berbagai atribut karyawan. Dataset tersebut telah melalui tahap pra-pemrosesan dengan melakukan pemetaan nilai-nilai kategorikal dan pengkodean one-hot. Fitur-fitur kemudian dibagi menjadi data latih dan data uji, serta dilakukan penskalaan menggunakan StandardScaler. Hasil penelitian menunjukkan bahwa model mencapai a

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Herdiansyah, Muhammad. "The Effect of Production Room Layout and Production Machine Maintenance on Production Effectiveness." Almana : Jurnal Manajemen dan Bisnis 4, no. 2 (2020): 297–308. http://dx.doi.org/10.36555/almana.v4i2.1420.

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The intense business competition in the industrial world requires companies to always advance. Many ways did so that companies can more effective in all fields so that company productivity can increase. In relation, the Production Room Layout and Production Machine Maintenance are very influential in the creation of effectiveness in the production activities. This study aims to examine the effect of Production Room Layout and Machine Maintenance on Production Effectiveness at PT. Bintang Usaha Nasional. The population in this study is the number of employees in the production field of PT. Bint

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Aljinović Barać, Željana, and Mario Bilić. "The effects of company characteristics on financial reporting quality – the application of the machine learning technique." Ekonomski vjesnik 34, no. 1 (2021): 57–72. http://dx.doi.org/10.51680/ev.34.1.5.

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Purpose: The paper aims to determine the level of financial reporting quality (FRQ) in listed companies in Croatia, as an example of a macro-based accounting system with an underdeveloped capital market, and identify company characteristics that affect it. The paper systematizes the existing key knowledge of FRQ. Furthermore, it critically analyses the principles and direction of influence of various qualitative and quantitative as well as financial and non-financial characteristics of a company. Methodology: The empirical analyses involve joint testing of the machine learning technique (MLT)

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Belousova, М. V., and V. V. Bulatov. "On the organization of the dependability service in a machine-building company." Dependability 20, no. 1 (2020): 25–31. http://dx.doi.org/10.21683/1729-2646-2020-20-1-25-31.

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Historically, dependability services originated within design units of companies. A design engineer had his/her own ideas about the quality control of released products. As the initial application field of the dependability theory was the aerospace industry, he/she understood that the presence of errors and omissions within a product could cause catastrophic consequences [1]. Along with the dependability unit the quality and technical supervision service was developing, and that was primarily tasked with organizing and conducting acceptance testing, receiving inspection and prevention of a pro

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Nugraha Adz Zikri, Arif Furqon, and Wiwin Suwarningsih. "Pay Later Risk Management: A Review of FMECA and Potential Customer Prediction Frameworks Through the Application of Machine Learning." International Journal of Advances in Data and Information Systems 4, no. 2 (2023): 167–80. http://dx.doi.org/10.25008/ijadis.v4i2.1293.

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The development of technology continues to develop and gradually change the way people buy such as on online shopping sites. The increase in internet use, especially in the use of E Commerce, has given birth to great potential in the market, especially in Indonesia. These changes prompted the birth of various payment methods. One of them is Pay Later. 27% of the 3560 samples decided to use Pay Later with all the conveniences offered. However, the development of Pay Later is not synchronized with good risk management. The use of Pay Later, which is not targeted at the right consumers, causes PT

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Alhamed, Mariam, and M. M. Hafizur Rahman. "A Systematic Literature Review on Penetration Testing in Networks: Future Research Directions." Applied Sciences 13, no. 12 (2023): 6986. http://dx.doi.org/10.3390/app13126986.

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Given the widespread use of the internet at the individual, governmental, and nongovernmental levels, and the opportunities it offers, such as online shopping, security concerns may arise. Cyber criminals are responsible for stopping organizations’ access to internet, for stealing valuable and confidential data, and causing other damage. Therefore, the network must be protected and meet security requirements. Network penetration testing is a type of security assessment used to find risk areas and vulnerabilities that threaten the security of a network. Thus, network penetration testing is desi

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NIEVES DA COSTA, JOAO PEDRO, PAULO AVILA, JOAO BASTOS, and LUIS PINTO FERREIRA. "A NEW SIMPLE, FLEXIBLE AND LOW-COST MACHINE MONITORING SYSTEM." DYNA DYNA-ACELERADO (June 7, 2021): [ 7 pp.]. http://dx.doi.org/10.6036/10075.

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The industry 4.0 revolution provides the machines with a sensory and communicational capacity, which allows them to monitor and collect large amounts of information. This kind of data have an impact on planning, maintenance, and management of production, enabling real time reaction, efficiency increase, and the development of predictive and process improvement models. The most recent machines are prepared to communicate with the existing monitoring systems, however, many (around 60%) do not. The objective of this work is to present the proposal of a system for remote monitoring of equipment in

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Bakti, Panji Satrio, and Eliyani Eliyani. "Application of J48 and Naïve Bayes Algorithms to Predict Ream Bookings at PT. Nippon Presisi Teknik." Eduvest - Journal of Universal Studies 3, no. 6 (2023): 1047–60. http://dx.doi.org/10.59188/eduvest.v3i6.834.

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In the field of goods production, demand prediction is important. By doing sales predictions, companies can make calculations and forecasts for what raw materials are mostly ordered. J48 and Naïve Bayes algorithm are two popular machine learning technique. By using these two algorithms, this study aims to develop an accurate and more reliable predictive model that help the company to make data driven decision. This study focuses on the application of quantitative methods, specifically the J48 algorithm and Naïve Bayes algorithm. This research conducted 4 times testing on each algorithm. This s

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Zhu, Yuejia, Jiayi Zhu, Jiaoyuan Ding, and Ziyan Li. "Should machine learning be applied in credit risk accessment." Applied and Computational Engineering 43, no. 1 (2024): 83–93. http://dx.doi.org/10.54254/2755-2721/43/20230812.

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In the past, analysts evaluated whether to offer loans to particular applicants using rule-based approaches. However, due to the sudden rise in applicants and a labor shortage, financial institutions have created quantitative methods of decision-making. Credit scoring models are constructed. In this essay, random forest model, support vector machine regression model and Probit model are performed and compared according to the dataset from a major U.S. credit cards company. The result demonstrates that while machine learning techniques can improve the efficiency and accuracy of credit risk asse

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