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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...

引用

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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Model for supply chain performance measurement 22

Model for supply chain performance measurement

引用

22nd International Conference on Production Research, ICPR 2013

作者： Sellitto, M.A. Pereira, G.M. Borchardt, M. Silva, R.I. Production and Systems Engineering Graduate Program UNISINOS São Leopoldo RS Brazil

This article presents a model for performance measurement in supply chains. The methodology had two-steps: a qualitative part to identify constructs and indicators and a quantitative one to measure them. The model has two dimensions: SCOR model process: source, make, deliver, and return;and priorities: cost, quality, delivery, flexibility. A 4 x 4 matrix resulted, weighted by AHP. In the cells, indicators, with ranges and five categories [very good, good, neutral, bad, very bad] were allocated to appraise the priority in the process. The ranges were set in the planning process of SCOR. An application was done in the hard core of a supply chain of the footwear industry, including 72 indicators in four suppliers;the focal company;three distribution channels;and a return channel. The SC overall performance reached near 80% of the maximum possible value. Worst performance was flexibility in deliver and delivery in make.

关键词： Supply chains

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Machine learning techniques in bank credit analysis of companies: A case study of a Brazilian bank 49

Machine learning techniques in bank credit analysis of compa...

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49th International Conference on Computers and Industrial engineering, CIE 2019

作者： Assef, F.M. Steiner, M.T.A. Industrial and Systems Engineering Graduate Program Pontifical Catholic University of Paraná Curitiba Brazil

The aim of this paper is to compare and discuss better classifier algorithm options for credit risk assessment by applying different Machine Learning techniques. Using records from a Brazilian financial institution, this study uses a database of 5,432 companies that are clients of the bank, where 2,600 clients are classified as non-defaulters, 1,551 are classified as defaulters and 1,281 are temporarily defaulters, meaning that the clients are overdue on their payments for up 180 days. For each case, a total of 15 attributes was considered for a one-against-all assessment using four different techniques: Artificial Neural Networks Multilayer Perceptron (ANN-MLP), Artificial Neural Networks Radial Basis Functions (ANN-RBF), Logistic Regression (LR) and finally Support Vector Machines (SVM). For each method, different parameters were analyzed in order to obtain different results when the best of each technique was compared. Initially the data were coded in thermometer code (numerical attributes) or dummy coding (for nominal attributes). The methods were then evaluated for each parameter and the best result of each technique was compared in terms of accuracy, false positives, false negatives, true positives and true negatives. This comparison showed that the best method, in terms of accuracy, was ANN-RBF (79.20% for non-defaulter classification, 97.74% for defaulters and 75.37% for the temporarily defaulter classification). However, not always did the best accuracy represent the best technique for the assessment of this problem. For instance, on the classification of temporarily defaulters, this technique, in terms of false positives, was surpassed by SVM, which had the lowest rate (0.07%) of false positive classifications. All these intrinsic details are discussed considering the results found, and an overview of what was presented is shown in the conclusion of this study. © 2019, Computers and Industrial engineering. All rights reserved.

关键词： Support vector machines

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An Approach to Semantic Interoperability for Product Development Through Automatic Requirement Extraction and Semantic Reconciliation 16th

An Approach to Semantic Interoperability for Product Develop...

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16th IFIP WG 5.1 International Conference on Product Lifecycle Management, PLM 2019

作者： Canciglieri, Matheus Beltrame de Moura Leite, Athon Francisco Curi Staben Szejka, Anderson Luis Junior, Osiris Canciglieri Industrial and Systems Engineering Graduate Program Pontifical Catholic University of Parana Curitiba Brazil

ISBN: (纸本)9783030422493

The strong competitiveness challenges manufacturing industry to rationalize different ways of bringing new products to the market in the shortest time with competitive prices while ensuring higher quality. Industries need to effectively share product requirements, which comes from various sources and are heterogeneous in nature, during the Product Development Process (PDP) to stay competitive. However, problems with misinterpretation of such requirements have been identified during its sharing due to semantic interoperability obstacles related to the process of automatically gathering requirements and their translation and reuse. This research proposes an approach to automatically gather product requirements, extracting its knowledge and translate it for further use and reuse along PDP. The research structure consisted of firstly studying the current issues of the topic, secondly by exploring an approach, to be validated in an experimental case. Current issues point out to gaps related to the process of semantic reconciliation and knowledge extraction perspectives, giving it a multi-dimensional panorama where semantic issues are intertwined among different perspectives. The later solution presents an approach which considers raw information being processed into product features, refining knowledge during PDP and making it reusable in different cycles. The approach brings a new view on practical methods for automatically collect product requirements, extract its knowledge and translate it into product features, based on knowledge extraction methods and by using semantic reconciliation as means for translating product’s requirements. Further research will focus on expanding the approach and including more features to increasingly complex cases, to explore the full potential of the approach. © 2019, IFIP International Federation for Information Processing.

关键词： Product design

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The financial impact of using RFID in healthcare

The financial impact of using RFID in healthcare

引用

2012 IEEE International Conference on Industrial engineering and engineering Management, IEEM 2012

作者： Kattan, Ibrahim Al Anjamrooz, Taha Engineering Systems Management Graduate Program College of Engineering American University of Sharjah Sharjah United Arab Emirates

ISBN: (纸本)9781467329453

This paper is emphases on the financial impact of RFID system on the healthcare. The main obstacle of RFID implementation is the high costs hence the area of application must be very selective. We decide on the Obstetrics and Gynecology Department (OGD), where the patient has many visits during three different periods: Pregnancy, Delivery and after Childbirth. This research conducted over two years to collect real data for two different scenarios, traditional versus RFID systems. The reductions in waiting times for each period are valued into money. The RFID technology can significantly improve the processing times associated with medical record retrieval, dispensing medication, personnel management and billing. This analysis is planned for a period of 5 years with discount rate of 4%. Finally, the net present value concept is applied in order to compare the financial benefit of two systems and to obtain the payback period. © 2012 IEEE.

关键词： Obstetrics

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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...

引用

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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Information Security Risk Management Model for Peruvian SMEs

Information Security Risk Management Model for Peruvian SMEs

引用

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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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...

引用

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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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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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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