Submitted by Maria Aparecida (cidazen@gmail.com) on 2017-08-24T14:18:42Z No. of bitstreams: 1 Diogo Luis.pdf: 4371869 bytes, checksum: adf1274b2033821c3c2a6cca3766a2e6 (MD5) / Made available in DSpace on 2017-08-24T14:18:42Z (GMT). No. of bitstreams: 1 Diogo Luis.pdf: 4371869 bytes, checksum: adf1274b2033821c3c2a6cca3766a2e6 (MD5) Previous issue date: 2012-10-03 / Power system operation and maintenance require attention, precise diagnostics on failure and agility on system recovery. On the other hand, power systems involve high risks, where each operation needs to be carefully planned and executed, once errors can be fatal. Power system satisfactory operation and maintenance consist on finding equilibrium between these extremes, acting on a cautious, but agile, way. For this purpose, we propose the development of an intelligent system with the ability of detecting abnormal patterns on the electrical signal, providing support for decisions on Power Distribution System real time operation, from the analysis of power substation transformers primary and secondary currents, including learning at each new information acquired by the system. The challenge of this study is to research and develop a method based on ANN for classifying patterns and providing support for decisions, aiming fault detection and/or fault recovery. The method di↵erentiates disturbances that will lead to faults from disturbances generated by transients on power system (for example an undervoltage caused by powering on an engine). A SCADA supervisory system was developed to contain ANN implementation code and also to provide an interface for Operators, generating visual and sound alarms and messages guiding system recovery. The proposed method was evaluated using real data collected from transformers protection digital relays of CEMAR system substations, achieving excellent results. The ANN developed on this study presented satisfactory performance classifying signals and detecting faults properly. / A operação e manutenção do sistema elétrico requerem atenção, diagnósticos precisos em caso de falhas e agilidade na recomposição do sistema. Por outro lado, sistemas elétricos têm um elevado risco, onde cada manobra precisa ser cuidadosamente planejada e executada, pois erros podem ser fatais. A boa operação e manutenção do sistema elétrico consistem em encontrar o ponto de equilíbrio entre esses dois extremos, atuando de forma cautelosa, porém ágil. Com esse intuito, propomos o desenvolvimento de um sistema inteligente dotado da capacidade de detectar padrões anormais no sinal elétrico, fornecendo apoio à decisão na operação em tempo real do SDEE, a partir da análise das correntes primárias e secundárias de transformadores de força de subestações de energia elérica, incluindo aprendizado a cada nova informação integrada ao sistema. O desafio deste estudo é pesquisar e desenvolver um método baseado em RNA para classificação de padrões e apoio à decisão, visando a detecção e/ou recuperaçao de falhas. O método diferencia perturbações que culminarão em uma falta de perturbações geradas por transitórios na rede elétrica (por exemplo o afundamento de tensão gerado pela partida de uma máquina). Um sistema supervisório SCADA foi desenvolvido para hospedar o código de implementação da RNA, além de fornecer uma interface para o Operador, gerando alarmes visuais e sonoros e mensagens orientando a retomada do sistema. O método proposto foi avaliado utilizando-se dados reais coletados diretamente de relés digitais de proteção de transformadores de subestações do sistema da CEMAR, obtendo-se excelentes resultados. A RNA desenvolvida neste estudo apresentou desempenho satisfatório na classificação dos sinais a ela apresentados, detectando corretamente as faltas.

Afin d'accompagner les professionnels de santé dans leur démarche clinique, plusieurs systèmes de suivi et deprise en charge médicale ont été construits et déployés dans le milieu hospitalier. Ces systèmes permettentprincipalement de collecter des données médicales sur les patients, de les analyser et de présenter les résultats dedifférentes manières. Ils représentent un appui et une aide aux professionnels de santé dans leur prise de décisionpar rapport à l'évolution de l'état de santé des patients suivis. L'utilisation de tels systèmes nécessitesystématiquement une adaptation à la fois au domaine médical concerné et au mode d'intervention. Il estnécessaire, dans un milieu hospitalier, que ces systèmes puissent s'adapter et évoluer d'une manière simple, enlimitant toute maintenance corrective ou évolutive. Ils doivent être en mesure de prendre en compte dynamiquementdes connaissances théoriques et empiriques du domaine issues des experts médicaux.Afin de répondre à ces exigences, nous avons proposé une approche pour la construction d'un système d'aide à ladécision médicale capable de s'adapter au domaine médical concerné et au mode d'intervention approprié pourassister les professionnels de santé dans leur démarche clinique. Cette approche permet notamment l'organisationde la collecte des données médicales, en tenant compte du contexte du patient, la représentation desconnaissances du domaine à base d'ontologies ainsi que leur exploitation associée aux guides de bonnes pratiqueset à l'expérience clinique.Dans la continuité des travaux précédemment réalisés au sein de notre équipe de recherche, nous avons choisid'enrichir, avec notre approche, la plateforme E-care qui est dédiée au suivi et à la détection précoce de touteanomalie de l'état de patients atteints de maladies chroniques. Nous avons pu ainsi adapter facilement la plateformeE-care aux différentes expérimentations qui sont été menées notamment dans des EPHAD de la MutualitéFrançaise en Anjou-Mayenne, au CHU de Hautepierre et au CHUV à Lausanne.Les résultats de ces expérimentations ont montré l'efficacité de l'approche proposée. L'adaptation de la plateformepar rapport au domaine et au mode d'intervention de chacune de ces expérimentations se limite à de la simpleconfiguration. De plus, l'approche proposée a suscité l'intérêt du personnel médical par rapport à l'organisation de lacollecte des données, qui tient compte du contexte du patient, et par rapport à l'exploitation des connaissancesmédicales qui apporte aux professionnels de santé une assistance pour une meilleure prise de décision. / To support health professionals in their clinical processes, several monitoring and medical care systems have beenbuilt and deployed in the hospital setting. These systems are mainly used to collect medical data on patients,analyze and present the outcomes in different ways. They represent support and assistance to health professionalsin their decision making regarding the evolution in the health status of the patients followed. The use of suchsystems always requires an adaptation to both the medical field and the mode of intervention. It is necessary, in ahospital setting, to adapt and evolve these systems in a simple manner, limiting any corrective or evolutionarymaintenance. Moreover, these systems should be able to consider dynamically the domain knowledge from medicalexperts.To meet these requirements, we proposed an approach for the construction of a medical decision support system(MDSS). This MDSS can adapt to the medical field and to the appropriate mode of intervention to assist healthprofessionals in their clinical processes. This approach allows especially the organization of the medical datacollection by taking into account the patient¿s context, the ontology-based knowledge representation of the domainand permits the exploitation of the medical guidelines and the clinical experience.In continuity of our research team¿s previous work, we chose to expand with our approach, the E-care platformwhich is dedicated to monitoring and early detection of any abnormality of the health status of patients with chronicdiseases. We were able to adapt easily the E-care platform for the various experiments that have been conducted,including EPHAD of the Mutualité Française in Anjou-Mayenne, Hautepierre hospital and Lausanne hospital(CHUV).The outcomes of these experiments have shown the effectiveness of the proposed approach. Where, the adaptationof the platform regarding to the domain and mode of intervention of each of these experiments is limited to thesimple configuration. Furthermore, the proposed approach has attracted the interest of the medical staff regardingthe organization of the medical data collection, and the exploitation of the medical knowledge which bringsassistance to the health professionals for better decision making.

人身風險管理為個人或家庭控制身體及財務損失機會，轉移風險獲得安全保障的管理方法與流程，其中人身保險為最常使用之風險移轉及理財工具．人身保險供需雙方所面臨的問題及作業程序包括消費者的保險需求預估、保險商品選擇..等。以及保險經營者的保險行銷、核保處理、保險精算、契約保全管理、理賠處理、資金運用等，其問題解決與程序處理之效率與效益，取決於人身保險相關資料、模式及知識之有效整合與運算。 　　本研究的目的即在探討人身風險管理中供給面之保險經營者及需求面之投保消費者之間的整合作業程序與互動關係，並提出一個專家決策支援系統架構來引導人身風險管理資訊系統之建構與應用，以支援供需兩個構面的資訊與決策需求。一個利用軟體整合方法所建立的人身保險選擇原型系統，將用來作為本研究的可行性驗證。資訊之組織、呈現及交談式操作介面，則採用超媒體方法，以提昇系統的執行及使用績效。 / Persnoal risk managment is a systematic approach for designing and managingpersonal or family security plans to control the risks of health and financiallosses. Enrolling in some personal insurance program is the most popular me-thod adopted by people for risk and financial management.The decision problemsand operational processes related to both sides of providers and consumers inthe personal insurance industry include requirment analysis and productselection for the customers and marketing, underwriting, actuarial, constractadministration, claims processing, and financial investment for the insurancecompanies.To carry out these procedures and solve the target problems effici-ently and effectively require the proper integration and process of associateddata, model, and knowledge. 　　The goal of this paper is to propose an integrated process for personalrisk management while takes into account both functions and interactions ofinsurance provid ers and customers, as well as to present a conceptual expertdecision support system architecture for guiding the system design andimplementation to satisfy various informationand decision needs from bothparties. Also provided in this paper is a software integration approachfor constructing a prototyped system focusing on personal insurance policyselection. Hypermedia concept and technology is used for informationsystem performances.

本研究以過去類似研究的發展經驗為基礎，參照國內企業界的特殊決策環境及決策型態，並考量行銷問題的特質，建立一套整合性行銷系統模擬架構( 以蒙特卡羅模擬法為基本架構，以行銷系統模式為核心 )，協助決策者評估╱選擇新產品上市時之最適競爭性行銷策略，以提高新產品上市後的成功率。本研究從決策者立場的角度來建構整個架構，採用「互動式漸進法」讓決策者能共同參與模式之建構，並透過「結構式詢問法」輸入資料卷協助決策者在問題答覆的過程中，將系統行為的隱性心智模式轉化成顯性數理模式，使本模擬架構能成為實用的電腦輔助工具，縮短行銷科學與行銷實務的距離。本研究在國內行銷實務及學術界中尚屬較新的嚐試， 希望能對國內企業界有實質的貢獻。本模擬架構，經簡易解析問題測試後，確認邏輯上具正確性及可行性。並以羽田公司小型轎跑車之新品牌－經典祥瑞－進行實例研究，實地瞭解羽田公司在評估╱選擇新品牌競爭性行銷策略的實務經驗，藉此細部調整系統模式及增益此架構之實用性。實例研究結果確認本模擬架構確可提供決策者完整的數量化決策資訊，作為決策者在其可容忍風險及行銷目標之考慮下，選擇最適行銷策略之決策參考。

Els Sistemes d'Aiguamolls Construïts (SAC) de Flux Subsuperficial Horitzontal (FSH) és una tecnologia apropiada pel sanejament d'aigües residuals procedents de nuclis de població petits. No obstant els SAC de FSH són considerats una tecnologia natural, l'operació i manteniment d'aquestes depuradores és crucial per a garantir el seu correcte funcionament. Aquestes necessitats d'operació i manteniment varien entre depuradores segons (1) les característiques de la comunitat, (2) la configuració de la depuradora i el disseny del SAC de FSH i (3) les característiques del medi receptor. En aquest sentit, en aquesta tesi es presenta el desenvolupament d'un Sistema d'Ajuda a la Decisió (SAD) per a la definició de protocols d'operació i manteniment per a SAC de FSH tenint en compte els factors que causen variabilitat entre aquest tipus de depuradores (1, 2 i 3). / Horizontal Subsurface Constructed Wetlands (HSCW) is an appropriate technology to treat wastewater coming from small communities. Despite HSCW is considered a natural technology, operation and maintenance are crucial to guarantee their performance. These necessities vary according to (1) the characteristics of the community, (2) the wastewater treatment plant configuration and the HSCW design and (3) the characteristics of the receiving media. In this sense, the this thesis presents the development of an Environmental Decision Support System (EDSS) to asses the definition of operation and maintenance protocols for HSCW taking into account the aspects that cause variability among these facilities (1, 2 and 3).

La present tesi pretén recollir l'experiència viscuda en desenvolupar un sistema supervisor intel·ligent per a la millora de la gestió de plantes depuradores d'aigües residuals., implementar-lo en planta real (EDAR Granollers) i avaluar-ne el funcionament dia a dia amb situacions típiques de la planta. Aquest sistema supervisor combina i integra eines de control clàssic de les plantes depuradores (controlador automàtic del nivell d'oxigen dissolt al reactor biològic, ús de models descriptius del procés...) amb l'aplicació d'eines del camp de la intel·ligència artificial (sistemes basats en el coneixement, concretament sistemes experts i sistemes basats en casos, i xarxes neuronals).Aquest document s'estructura en 9 capítols diferents. Hi ha una primera part introductòria on es fa una revisió de l'estat actual del control de les EDARs i s'explica el perquè de la complexitat de la gestió d'aquests processos (capítol 1). Aquest capítol introductori juntament amb el capítol 2, on es pretén explicar els antecedents d'aquesta tesi, serveixen per establir els objectius d'aquest treball (capítol 3). A continuació, el capítol 4 descriu les peculiaritats i especificitats de la planta que s'ha escollit per implementar el sistema supervisor.Els capítols 5 i 6 del present document exposen el treball fet per a desenvolupar el sistema basat en regles o sistema expert (capítol 6) i el sistema basat en casos (capítol 7). El capítol 8 descriu la integració d'aquestes dues eines de raonament en una arquitectura multi nivell distribuïda. Finalment, hi ha una darrer capítol que correspon a la avaluació (verificació i validació), en primer lloc, de cadascuna de les eines per separat i, posteriorment, del sistema global en front de situacions reals que es donin a la depuradora / The present document wants to gather the experience obtained in the development of a Supervisory System for optimal WWTP management and control, its implementation in a real plant (Granollers WWTP) and its evaluation in the day-to-day operation with typical plant situations. This Supervisory System combines and integrates classical control of WWTP (automatic controller for maintaining a fixed dissolved oxygen level in the aeration tank, use of mathematical models to describe the process.) with the application of tools from the Artificial Intelligence field (knowledge-based systems, mainly expert systems and cased-based systems, and neural networks).This document has been structured into nine chapters. The first part is introductory with a review of the state-of-the-art in wastewater treatment control and supervision and the explanation of the complexity of WWTP management (chapter 1). This introductory chapter together with the second one, where the antecedents to the present thesis are reviewed, are good for the establishment of the objectives (chapter 3). Next, chapter 4 describes the peculiarities and specificities of the selected plant to implement the Supervisory System.Chapters 5 and 6 of the present document explain the work carried out to develop and build the knowledge base of the rule-based or expert system (chapter 6) and the case-based system (chapter 7). Chapter 8 illustrates the integration of these reasoning techniques into a distributed multi-layer architecture. Finally, there is a last chapter focused on the evaluation (verification and validation) of, first of all, each one of the techniques individually, and lately, of the overall Supervisory System when facing with real situations taking place in the wastewater treatment plant.

Submitted by Ewertton Carneiro Pontes (ewerttonc@gmail.com) on 2018-01-24T11:08:47Z No. of bitstreams: 1 OT-RPG SAD-EsAO.pdf: 25744864 bytes, checksum: c51934b1dabea4c3da0603b3437d7c0c (MD5) / Approved for entry into archive by Maria Auxiliadora da Silva Lopes (silopes@ufba.br) on 2018-01-24T11:29:06Z (GMT) No. of bitstreams: 1 OT-RPG SAD-EsAO.pdf: 25744864 bytes, checksum: c51934b1dabea4c3da0603b3437d7c0c (MD5) / Made available in DSpace on 2018-01-24T11:29:06Z (GMT). No. of bitstreams: 1 OT-RPG SAD-EsAO.pdf: 25744864 bytes, checksum: c51934b1dabea4c3da0603b3437d7c0c (MD5) / Nesta tese, seguindo uma abordagem de tecnologia da informação e comunicação, apresenta-se uma arquitetura computacional pedagógica, chamada Objective Team - Role Playing Game / Sistema de Apoio a Decisão - Escola de Aperfeiçoamento de Oficiais (OT-RPG / SAD-EsAO), com o objetivo de aperfeiçoar a capacidade cognitiva de tomada de decisão de alunos de uma Escola do Exército Brasileiro, onde o processo ensino/aprendizagem se faz segundo um trabalho colaborativo em equipe. Este instrumento pedagógico, construído colaborativamente por analistas cognitivos e especialistas em fenomenologia do trabalho de estado-maior do Exército Brasileiro, teve como base de aplicação o Curso de Aperfeiçoamento de Oficiais. Partindo da estrutura e dos conceitos do RPG, cujos personagens são individuais, elaborou-se um aperfeiçoamento da estrutura e introduziu-se o conceito de personagens em equipes. Foram levantados os aspectos cognitivos da fenomenologia do trabalho de estado-maior, práxis comum no planejamento de operações militares no Exército Brasileiro e objeto de estudo na Escola, para modelar esta solução pedagógica. Os experimentos foram realizados nos cursos da EsAO e, tendo em vista tratar-se de uma investigação sobre práticas educacionais, utilizou-se a abordagem metodológica Design Based Research (DBR) como método de pesquisa e os pressupostos do socioconstrutivismo e do sociointeracionismo como concepção epistemológica, considerando a inseparável relação entre conhecimento teórico e a aplicação prática, característica dos profissionais da arte da guerra. / ABSTRACT In this thesis, following an information and communication technology approach, a pedagogical computational architecture, called Objective Team - Role Playing Game / Decision Support System - Officers Improvement School (OT-RPG / SAD-EsAO) is presented, with the objective of improving the cognitive decision-making capacity of students of a Brazilian Army School, where the teaching / learning process is done according to a collaborative team work. This pedagogical tool, built collaboratively by cognitive analysts and specialists in the phenomenology of the Brazilian Army's general staff work, had its application basis on the Captains Career Course. Starting from the structure and concepts of RPG, whose characters are individual, an improvement of the structure was elaborated and the concept of characters in teams has been introduced. The cognitive aspects of the phenomenology of general staff work, common praxis in the planning of military operations in the Brazilian Army and object of study in the School, were raised to model this pedagogical solution. The experiments were carried out in the courses of the EsAO and, since it is an investigation on educational practices, the methodological approach Design-Based Research (DBR) was used as research method and the assumptions of socioconstructivism and of socio-interactionism as epistemological conception, considering the inseparable relation between theoretical knowledge and the practical application, characteristic of the professionals of the art of war.

Made available in DSpace on 2010-04-20T20:21:00Z (GMT). No. of bitstreams: 1 136784.pdf: 1094472 bytes, checksum: 2935337163a0e49228c603a9dfe4cd25 (MD5) Previous issue date: 2005-03-29T00:00:00Z / The current business environment is aggressively changing towards both increasing competitiveness and turbulence. This scenario demands deep knowledge of customers’ needs, an accurate sense of opportunity and the ability of taking risks. This is the context in which the technology and know how to change data into value information is fundamental to provide timely support for the decision process. Both modern companies’ Corporate Strategic Planning and Information Technology Strategic Planning has been coordinated built, aspiring to achieve company fundamental goal: to increase its value in long run. This work will briefly discuss some vision about corporate strategy and the necessity of alignment of this strategy with IT. Besides, we will analyze the case of a successful development and pioneer implementation of a Decision Support System in a Diagnosis Center in São Paulo. The case analysis is based on four groups of factors: Information Technology, artificial intelligence systems, human resources and organizational context. The conclusion reinforces the relevance of strategic alignment and illustrates the positive results that can be expected achieving it. / O atual ambiente de negócios crescentemente competitivo e turbulento requer das organizações modernas conhecimento profundo sobre as necessidades dos clientes e uma percepção de oportunidades e arrojo não triviais. Neste contexto, a transformação de dados em informações oportunas e precisas é fundamental para subsidiar a gestão. O Planejamento Estratégico Empresarial (PEE) e da Tecnologia da Informação (PETI) vêm modernamente sendo construídos para, de forma alinhada, atender o anseio maior da empresa, qual seja, maximizar seu valor a longo prazo. Este trabalho descreve sucintamente algumas visões sobre estratégia corporativa, sobre a necessidade de alinhamento desta estratégia com a TI e analisa o caso de implementação de um Sistema de Apoio à Decisão pioneiramente desenvolvido e implementado num grande Centro de Diagnósticos Médicos localizado na cidade de São Paulo. A análise do caso está fundamentada na literatura e nas vivências profissionais do pesquisador e fundamenta-se em quatro grandes grupos de fatores: tecnologia da informação, sistemas de inteligência artificial e do conhecimento, recursos humanos e contexto organizacional. A conclusão reitera a importância do alinhamento estratégico e ilustra os resultados positivos que dele se pode esperar.

Knowledge and knowledge work are key factors of today’s successful companies. This study devises an approach for increasing the performance of knowledge work by shifting it towards a process orientation. Business process management and workflow management are methods for structured and predefined work but are not flexible enough to support knowledge work in a comprehensive way. Case-based reasoning (CBR) uses the knowledge of previously experienced cases in order to propose a solution to a problem. CBR can be used to retrieve, reuse, revise, retain and store functional and process knowledge. The aim of the research was to develop an approach that combines CBR and process execution to improve knowledge work. The research goals are: a casedescription for knowledge work that can be integrated into a process execution system and that contains both functional and process knowledge; a similarity algorithm for the retrieval of functional and procedural knowledge; and an adaptation mechanism that deals with the different granularities of solution parts. This thesis contains a profound literature framework and follows a design science research (DSR) strategy. During the awareness phase of the design science research process, an application scenario was acquired using the case study research method, which is the admission process for a study programme at a university. This application scenario is used to introduce and showcase the combined CBR and process execution approach called ICEBERG-PE, which consists of a case model and CBR services. The approach is implemented as a prototype and can be instantiated using the ICEBERG-PE procedure model, a specific procedure model for ontology-based, CBR projects. The ICEBERG-PE prototype has been evaluated using triangulated evaluation data and different evaluation settings to confirm that the approach is transferable to other contexts. Finally, this thesis concludes with potential recommendations for future research. / Computing / D. Phil. (Information Systems)

Made available in DSpace on 2016-06-02T20:00:37Z (GMT). No. of bitstreams: 1 3691.pdf: 6551508 bytes, checksum: ba7667ef8adc647d17a16ee824f5c9ca (MD5) Previous issue date: 2011-06-30 / Financiadora de Estudos e Projetos / Considering the significant and growing environmental degradation and the quality of life in cities, as well as the demand for systematization of information applicable to their control and recovery, this study aimed to develop a decision support system for management of public green spaces in areas of permanent preservation of urban water bodies. For its development were adopted as reference the guidelines of territorial scenario planning method through which main aspects were analyzed related to the problem and systematized actions concerning to the study and solution proposals. The main materials used correspond to the works of academic and technical literature and applied standardization, as well as the related court cases, raised through search terms in library collections and databases of legislation and jurisprudence. From the analysis of these materials, were studied the dynamics of the urban environment and degradation causes of its water bodies; discussed the effective functions of their permanent preservation areas and the intervening factors to their performance; as well as analyzed legal and related court aspects. As a result, were obtained a proposal of a structured key decision model for the evaluation and selection of locational alternatives and their functional-space aptitude for implementation of public green spaces, as a solution established by CONAMA Resolution n. 369 of 2006, which regulates the intervention exceptional cases in permanent preservation areas. Finally, the conclusion was that the achieved results can contribute as an important reference for this issue approach, however, further studies on the refinement of the proposed system are recommended, aiming at optimizations that improve its application and performance. / Considerando a expressiva e crescente degradação ambiental e da qualidade de vida da população nas cidades, assim como, a demanda pela sistematização de informações aplicáveis ao seu controle e recuperação, esta dissertação teve como objetivo o desenvolvimento de um sistema de suporte à decisão para gestão de áreas verdes de domínio público em áreas de preservação permanente de corpos hídricos urbanos. Para o seu desenvolvimento foram adotadas como referências as diretrizes do método de planejamento por cenários territoriais, mediante o qual foram analisados os principais aspectos correlatos ao problema e sistematizadas as ações concernentes ao estudo e proposição de soluções. Os principais materiais utilizados corresponderam às obras da literatura técnico-acadêmica e da normatização aplicada, bem como aos casos judiciais correlatos, levantados através de termos de busca junto aos acervos bibliográficos e bancos de dados legislativos e jurisprudências. A partir da análise destes materiais, foram estudadas a dinâmica do meio urbano e as causas de degradação dos seus corpos hídricos; discutidas as efetivas funções das suas áreas de preservação permanente e os fatores intervenientes ao seu desempenho; assim como, analisados os aspectos legais e judiciais relacionados. Como resultado, obteve-se a proposta de um modelo estruturado em chaves de decisão para avaliação e seleção de alternativas locacionais e de sua aptidão espaço-funcional para implantação de áreas verdes públicas, como solução instituída pela Resolução Conama n. 369 de 2006, que regulamenta os casos excepcionais de intervenção em áreas de preservação permanente. Por fim, conclui-se que os resultados alcançados podem contribuir como uma importante referência para o tratamento da questão, contudo, recomenda-se que estudos complementares avancem no refinamento do sistema proposto, visando otimizações que aprimorem sua aplicação e desempenho.