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EFFECTS OF REFRACTIVE INDEX AND ASPECT RATIO ON THE PARTICLE IMAGES IN A LEVITATED DROPLET

Multiphase Science and Technology 2024年第1期36卷 13-26页

作者： Gatete, Eugene Kaneko, Akiko Shen, Biao University of Tsukuba Systems and Information Engineering Graduate School of Science and Technology Degree Program of Engineering Mechanics and Energy 1-1-1 Tennodai Tsukuba Ibaraki305-8573 Japan University of Tsukuba Faculty of Engineering of Information Engineering and Systems 1-1-1 Tennodai Tsukuba Ibaraki305-8573 Japan

A technique using droplets suspended by ultrasound has attracted attention as one of the containerless processing methods. While this can avoid contamination from the container, it is known that ultrasonic levitation creates flow fields inside and outside the droplet. For more precise droplet control, it is desirable to elucidate the internal flow of the droplet, and measurements of the internal flow have been performed using the particle image velocimetry (PIV). The aim of this study is to elucidate the internal flow field behavior by solving optical problems and improving the accuracy of velocity field measurements in levitated droplets. The fluid that is to be investigated is scattered with small tracer particles and illuminated by a laser to capture the flow on a created laser sheet. The curvature distortion is successfully visualized using the PIV approach toward distortion correction using calibration methods. The curvature distortion illustration was performed based on the refractive index and aspect ratio of the simulated droplet in acrylic materials. The fluid flow, affected by droplet curvature and refractive index, has been visualized for both levitated and simulated droplets. The experimental results showed that the droplet curvature can be distorted in two types such as radial and tangential distortions and increase as the refractive index and aspect ratio increases. © 2024 by Begell House, Inc.

关键词： Refractive index

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ADISSA - ARCHITECTURAL DESIGN OF information-systems BASED ON STRUCTURED ANALYSIS

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information systems 1988年第2期13卷 193-210页

作者： SHOVAL, P Computer and Information Systems Program Department of Industrial Engineering and Management Ben-Gurion University of the Negev P.O. Box 653 Beer Sheva 84105 Israel

ADISSA is a methodology for Architectural Design of information systems and Software, based on Structured Analysis. The architectural design includes: 1. (a) design of a tree-structured menu system, which interfaces between the users and the system—viewed as the “external architecture” of the system; and 2. (b) design of the transactions of the system, composed of various functions which are activated in response to user needs and various events in the universe of discourse—viewed as the “internal architecture” of the system. The menu tree and the transactions are tied up with the other major components of the system architecture: the inputs and outputs, and the database. ADISSA methodology is fully compatible and consistent with Structured Analysis, and therefore the stages of system analysis and design are integrated into one complete process.

关键词： Architectural design data flow diagram development methods software engineering structured analysis and design transactions user interface

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Optimizing Menu Bundling Strategies Through Apriori Algorithm in Sales Analysis 4

Optimizing Menu Bundling Strategies Through Apriori Algorith...

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4th International Conference on Intelligent Cybernetics Technology and Applications, ICICyTA 2024

作者： Tama, Ahmad Sambang Setya Hamami, Faqih Adi, Taufik Nur Telkom University Information Systems Study Program Faculty of Industrial Engineering Bandung Indonesia

ISBN: (纸本)9798331506490

Indonesia, as one of the largest coffee producers and exporters in the world, has experienced significant growth in the number of coffee shops, driven by increasing consumer demand for ready-to-drink coffee. This study aims to enhance sales performance at Authen Café and Space through the implementation of a menu bundling strategy. By utilizing data mining techniques and the Apriori algorithm, customer purchasing patterns were analyzed to identify optimal menu combinations. The data was collected directly at Authen Cafe during the period from April to August 2028. The analysis revealed that bundling strategies, such as combining Ayam Rica-Rica with Es Kopi Susu Karamel, are effective in increasing sales volume and product popularity among consumers. Furthermore, this study evaluated the impact of offering discounts on bundled packages on the café's profitability, demonstrating that this approach can boost net profit without sacrificing profit margins. This research provides significant insights into the application of data-driven marketing strategies within the café'industry and offers guidance for more effective managerial decision-making. © 2024 IEEE.

关键词： Profitability

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The Practical Model DAM for Analyzing Data Lake Architectures in a Financial Institution in Peru

The Practical Model DAM for Analyzing Data Lake Architecture...

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2023 IEEE International Conference on Electrical, Computer and Energy Technologies, ICECET 2023

作者： Ramirez, Cristhian Zaña Mauricio, Sergio Benancio Wong, Lenis Information Systems Engineering Program Universidad Peruana de Ciencias Aplicadas Lima Peru

ISBN: (纸本)9798350327816

As the volume of data generated in the financial sector continues to grow organizations are challenged to effectively manage this vast amount of information. However, the implementation of a technological solution, especially in highly regulated financial environments with stringent security and privacy requirements, does not achieve the expected result. This study proposes a novel model, called DAM (Data Lake Analysis Model), to analyze the implemented Data Lake architecture of a Peruvian financial institution in order to identify opportunities for improvement and close the gaps that may arise in the management of large volumes of data. This methodology consists of 3 levels: (1) data and internal process analysis, (2) architecture and tools analysis, and (3) data governance analysis. A case study was conducted in a financial institution, and interviews and questionnaires were conducted with analysts and data scientists. The results at the three levels of analysis were very positive, with scores of 4.33, 4.06, and 4.11, respectively. In addition, the results of the questionnaire indicate that the experts rated the analysis as 'good', suggesting that the DAM model is effective in addressing the challenges of financial data management in the Peruvian context. © 2023 IEEE.

关键词： architecture analysis big data data lake data lake architecture financial institution

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information Security Risk Management Model for Peruvian SMEs

Information Security Risk Management Model for Peruvian SMEs

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2018 IEEE Sciences and Humanities International Research Conference, SHIRCON 2018

作者： Garcia-Porras, Chris Huamani-Pastor, Sarita Armas-Aguirre, Jimmy Universidad Peruana de Ciencias Aplicadas Information Systems Engineering Program Lima Peru

ISBN: (纸本)9781538683743

In this paper, we propose a risk management model of information security for Peruvian SMEs, taking as reference the OCTAVE-S methodology and the ISO / IEC 27005 standard. The model consists of the 3 phases of OCTAVE-S (Construction of the threats profile, Identification of infrastructure vulnerabilities, and Strategies and security plans). This model contains the contemplated lists of ISO / IEC 27005, it also contains the calculation and the risk treatment of this standard. Likewise, the model adopts a quantitative approach that allows calculating the residual risk, for example, the most critical asset identified obtained 216 of risk value and the residual risk obtained was 109 of risk value, this is obtained on the basis of the effectiveness of the controls that are part of the proposed model, for example, formalize procedures and policies and their occasional review. This model provides guidelines for information security risks for companies. It was implemented in the sales process of a Peruvian SME of the ceramic sector, proving to be easy to use and it was possible to identify the necessary controls to reduce the risk, whose implementation reduces the risk by 53%. © 2018 IEEE.

关键词： Security of data

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TOOL For Predicting Plans and Improving Solid Waste Management by Applying Time Series and AWS

TOOL For Predicting Plans and Improving Solid Waste Manageme...

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2023 IEEE International Conference on Electrical, Computer and Energy Technologies, ICECET 2023

作者： Jaimes, Limber Garriazo, Yudit Dextre, Jymmy Information Systems Engineering Program Universidad Peruana de Ciencias Aplicadas Lima Peru

ISBN: (纸本)9798350327816

Currently, the constant population growth in Peru leads to the generation of large amounts of solid waste, most of these originate from domestic sources and are collected by municipalities. The inefficiency in solid waste collection plans generates rework and therefore operational overhead. Likewise, it pollutes the environment due to waste accumulated in the streets and dissatisfaction from the neighbors. Therefore, an IoT tool is proposed, which will have a solar panel, sensor, chip inside the containers that served to train the algorithm and predict solid waste collection plans for decision-making of a municipality using the time series model, arima and Random Forest. This tool has 3 stages: analysis, design, and validation. Stage 1 evaluates machine learning models and IoT architectures. Stage 2 describes the design and software architecture of the tool. And, in stage 3, the deployment of IoT devices in a municipality of Lima was simulated and its operation was validated with the solid waste collection area. The result of the implementation of the tool in a sector of Villa El Salvador managed to increase the efficiency of solid waste collection plans from 81 % to 96 % effectiveness in said sector. In addition, this reduced operational costs by approximately 8 % and increased the satisfaction of neighbors by not having solid waste accumulated in the streets. © 2023 IEEE.

关键词： Machine learning path predictive algorithms sensors solid waste

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Implementing NIST CSF and CIS CSC in Gas Industry: A Model's Effectiveness and Acceptance Analysis

Implementing NIST CSF and CIS CSC in Gas Industry: A Model's...

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2023 IEEE International Conference on Electrical, Computer and Energy Technologies, ICECET 2023

作者： Villarreal, Roberto Alarcón, Flavio Torrejón, Luis Universidad Peruana de Ciencias Aplicadas Information Systems Engineering Program Lima Peru

ISBN: (纸本)9798350327816

During 2020, the pandemic intensified global cyberattacks, increasing by 50% in 2021. Since 2022, the war in Ukraine has exacerbated this situation, particularly in the oil and gas industry. This sector, considered critical infrastructure, faces cybersecurity challenges that demand a proactive approach combining technological and behavioral controls. Therefore, a cybersecurity model based on NIST CSF (National Institute of Standards and Technology Cybersecurity Framework) and CIS CSC (Center for Internet Security Critical Security Controls) is proposed to protect the technological platform of a natural gas company. This model consists of four stages: environment analysis, scope and risk appetite, control design, and finally, its development. This model was validated through the evaluation of the implemented controls and a survey of the staff, obtaining a 92.69% effectiveness and an 81.55% acceptance, thus achieving level 2 of NIST CSF, meeting the established objective. © 2023 IEEE.

关键词： CIS CSC Cyber Risk Mitigation Cybersecurity Controls Natural Gas Cybersecurity NIST CSF

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Audit model using controls from ISO/IEC 27002 for the information security of electronic voting based on IoT and Blockchain 3

Audit model using controls from ISO/IEC 27002 for the inform...

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3rd IEEE International Conference on Advanced Learning Technologies on Education and Research, ICALTER 2023

作者： Paredes, Edson Mendez, Marco Dextre, Jymmy Universidad Peruana de Ciencias Aplicadas Information Systems Engineering Program Lima Peru

ISBN: (纸本)9798350395471

In recent years, significant progress has been made in the integration of technologies in voting systems with the aim of improving the transparency of the process. This study proposes an audit model based on the ISO/IEC 27002 standard to evaluate electronic voting systems that make use of Blockchain technology and the Internet of Things (IoT), with the aim of improving security in voting processes. To validate this model, an evaluation of the security control was carried out by applying this international standard to a voting system that integrates Blockchain and IoT. In our analysis of 6 security controls applied to the reality of electronic voting, the system passed all established tests;Therefore, it can be concluded that the risk of compromising system information has been significantly mitigated. This research contributes to the advancement of the security of electronic voting systems and provides a solid foundation for future developments in this field. The combination of emerging technologies and international standards promotes trust, security and therefore mitigates any risk of compromising an electronic voting system by following the best practices of the international standard ISO/IEC 27002. © 2023 IEEE.

关键词： Internet of things

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Approach for Personalized Recommendations to Enhance Customer Service Process in Peruvian Restaurants using OpenAI Contextual Chatbot 30

Approach for Personalized Recommendations to Enhance Custome...

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30th IEEE International Conference on Electronics, Electrical engineering and Computing, INTERCON 2023

作者： Romero, Fabiola Cieza Pajes Leon, Sebastian Wong, Lenis Universidad Peruana de Ciencias Aplicadas Information Systems Engineering Program Lima Peru

ISBN: (纸本)9798350315578

In the current digital era, efficiently accessing relevant information is crucial for various applications such as restaurant recommendation systems, website searches, book recommendations, among others. This study presents an approach for personalized recommendations in improving the customer service process in restaurants using OpenAI's Contextual Chatbot. The approach consists of six phases: (1) Data preprocessing, (2) Embedding and storage, (3) Scheduled updating, (4) Document retrieval, (5) Context adaptation and request creation, and (6) Response generation. OpenAI's text embeddings are used to convert application data into vectors and store them in a vector database. These vectors are used to retrieve similar records and generate contextualized responses using the GPT-3.5 model. The chatbot's performance is evaluated in terms of accuracy and user satisfaction. Two scenarios were used in the experimentation: (a) with the proposed solution and (b) without the solution. The results demonstrated an operational efficiency of 86.67% with the proposed solution and the versatility of the proposed methodology, showcasing its potential for application in a wide range of domains, including websites, books, PDFs, and other forms of documentation. © 2023 IEEE.

关键词： Embeddings

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Framework for Improving Authenticity and Traceability in Educational Institution Evaluations in Perú Based on a Blockchain Architecture

Framework for Improving Authenticity and Traceability in Edu...

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2023 IEEE International Conference on Electrical, Computer and Energy Technologies, ICECET 2023

作者： Silva, Rodrigo De La Cruz, José Wong, Lenis Universidad Peruana de Ciencias Aplicadas Information Systems Engineering Program Lima Peru

ISBN: (纸本)9798350327816

During emergencies like COVID-19, maintaining educational quality involves integrating non-specialized online. Therefore, a framework is proposed to improve the authenticity and traceability in the assignation of grades in online classrooms of educational institutions in Perú. The proposed framework will impact students and teachers. The former, will be able to have more confidence in their exam grades, which will avoid request to the professors to review them. The latter will trace their students learning in an organized way, which will allow them to assess them continuously. The framework consists of three phases: (1) design of the blockchain architecture, (2) design of the web application architecture and (3) implementation of the web application. It was validated with the application of two experiments made with the support of twenty Peruvian students and a survey conducted with three experts. The validation results show that the proposed framework reduces the time required for the request of study certificates by 99.96% and the survey results by the experts showed that 'Traceability','Authenticity', 'Performance', and 'Usability' obtained an average rating of 4.83 (very high), 4.7 (very high), 4 (high), and 4 (high) respectively. © 2023 IEEE.

关键词： Architecture Authenticity Blockchain Education Evaluation Framework Traceability Web applications

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