bluuebunny/crossref_metadata_2025 huggingface dataset:
Potensi Kebijakan dalam Penanganan PGOT (Pengemis, Gelandangan, dan Orang Terlantar) Berdasarkan Peraturan Daerah Nomor 16 Tahun 2015 tentang Penyakit Masyarakat di Kabupaten Banyumas
Authors: Pazqara Emiraldo Win , Kusumaningsih Oti
Published: August 2022

ABSTRAK

Penulisan karya ilmiah ini bertujuan untuk mengangkat bahasan mengenai potensi kebijakan dalam penanganan PGOT berdasarkan Peraturan Daerah Nomor 16 Tahun 2015 tentang Penyakit Masyarakat di Kabupaten Banyumas. Metode yang digunakan dalam penelitian ini adalah deskriptif kualitatif dengan pengumpulan data melalui wawancara, observasi dan dokumentasi. Dari hasil analisis dapat dikonfirmasikan beberapa hal diantaranya: pertama, dari aspek kejelasan dan konsistensi kebijakan, perda nomor 16 tahun 2015 memiliki aturan yang cukup jelas namun belum semua aspek dalm perda dapat dijalankan. Kedua, dari aspek alokasi dan sumber dana, yakni anggaran difokuskan pada penanganan dan pembinaan PGOT yang bersumber dari Dinas Sosial dan lembaga donor yang tergabung dalam Mitra Kurir Langit. Ketiga, dari aspek keterpaduan lembaga pelaksana, bahwa pihak-pihak yang terlibat dalam pencegahan dan penanganan PGOT berkoordinasi dengan baik dan sinergis. Keempat, dari aspek rekruitmen pejabat pelaksana, berjalan dengan baik melalui pendelegasian wewenang dalam menjalankan tupoksi antar gugus tugas.

Kata Kunci: Kebijakan, PGOT, Potensi

ABSTRACT

Writing this scientific paper aims to raise the discussion of potential policies in handling PGOT based on Regional Regulation Number 16 of 2015 concerning Community Diseases in Banyumas Regency. The method used in this research is descriptive qualitative with data collection through interviews, observation and documentation. From the results of the analysis, several things can be confirmed including: first, from the aspect of policy clarity and consistency, regional regulation number 16 of 2015 has quite clear rules but not all aspects of the regional regulation can be implemented. Second, from the aspect of allocation and sources of funds, the budget is focused on handling and fostering PGOT sourced from the Social Service and donor agencies who are members of the Sky Courier Partner. Third, from the aspect of the integration of implementing agencies, that the parties involved in the prevention and handling of PGOT coordinate well and synergistically. Fourth, from the aspect of recruitment of implementing officials, it went well through the delegation of authority in carrying out the main tasks between task forces.

Keywords: PGOT, Policy, Potency
Optimalisasi Budaya Organisasi di Era Milenial
Authors: - Suryoto
Published: August 2022

Budaya organisasi adalah sebagai sistem nilai, fungsi, dan acuan perilaku. Sistem nilai dimaksudkan bahwa yang diyakini semua anggota organisasi dan yang dipelajari, diterapkan serta dikembangkan secara berkesinambungan. Fungsi budaya organisasi adalah sebagai sistem perekat diantara anggota organisasi, sedangkan acuan untuk berperilaku adalah dapat dijadikan acuan berperilaku dalam organisasi untuk mencapai tujuan yang telah ditetapkan. Dalam mengelola generasi millenial adalah dengan memanfaatkan perilaku mereka terhadap teknologi.

Kata Kunci: Budaya, Milenial, Organisasi.

ABSTRACT

Organizational culture is a system of values, functions, and behavioral references. The value system is meant that all members of the organization believe in and that are learned, applied and developed on an ongoing basis. The function of organizational culture is as an adhesive system among members of the organization, while the reference for behavior is that it can be used as a reference for behavior in the organization to achieve the goals that have been set. In managing the millennial generation is to take advantage of their behavior towards technology.

Keywords: Culture, Millennial, Organization.
PPKN SUBJECTS CHANGED TO PANCASILA EDUCATION, HOW IS IT IMPLEMENTED?
Authors: Nayla Muthia Rahman , Paiman Paiman , Sulaeman Evie Farida
Published: August 2022

Pancasila subjects that will be applied in the 2022/2023 school year have gone through a long journey in education, especially the learning process. Historically, the world of education has known PMP (Pancasila Moral Education) and PPKn (Pancasila and Citizenship Education). Since the year of reform, the subject that discusses Pancasila has undergone many changes, both in terms of material and the basic foundation of the curriculum in education itself. This is a result of one of them is the amendment of the 1945 Constitution. This paper aims to determine the implementation of Pancasila subjects that will be applied as a substitute for PPKn subjects. Research is a type of normative or literature research. Data collection through literature review is related to the focus of research in the form of literature review, theory, and documents. Meanwhile, data analysis is carried out descriptively by triangulation. Hasilresearch shows that the Ministry of Education and Culture early 2022 issued guidelines for implementing the curriculum to recover learning after the Covid-19 pandemic. It contains Pancasila subjects that replace PPKn subjects. Its implementation is carried out by considering 2 (two) aspects, namely: intracurricular allocation per year; and the allocation ofPancasila student profile projects.

Keywords: Subjects, PPKn, Pancasila.
Strategi Bisnis yang Harus Dipahami oleh Pengusaha
Authors: Sawitri Pane Mutiara , M. Nawawi Zuhrinal
Published: August 2022

As an entrepreneur, it is necessary for him to have knowledge related to strategies in running his business. Because by making the right strategy, he will benefit as expected, and vice versa with the wrong strategy will cause losses for business owners and even allow entrepreneurs to go bankrupt. Of course, every entrepreneur does not want to experience bankruptcy or big losses. For this reason, it is necessary for entrepreneurs to understand strategies in doing business as a way to achieve success. This study will explain the various strategies that entrepreneurs need to know in running their business. The method used in explaining the entrepreneur's strategy is descriptive qualitative in which the researcher will conduct a literature study to produce various references related to the strategies that entrepreneurs can go through to run their business. This research explains that there are many strategies that entrepreneurs can go through, including through digital, considering that today is thick with the digital world, so as an entrepreneur he will continue to run a business that can be reached by the younger generation because their world is generally through digital as a means of communication.

Keywords: entrepreneur, business, digital, strategy
Evaluasi Kelayakan Finansial Pasar Bareng Kota Malang Hasil Revitalisasi Sebagai Pasar Multifungsi
Authors: Nasikh Nasikh , Rahardjo Andhika Widianto
Published: August 2022

In realizing the economic growth of a region, many aspects need to be considered. One of the two aspects in realizing positive economic growth of a region is infrastructure and trade. The development of an infrastructure or project needs to cost money, moreover the project is not a small project. Therefore, there needs to be an in-depth and structured study and research before the project is funded or has been funded so as to know the prospects of the project. The study and research used an analysis of the financial feasibility study for the development of Pasar Bareng in Malang City with the aim of seeing the financial feasibility of developing Pasar Bareng. A project feasibility study has the meaning of a study that can see if the project if it gets an investment can run well and provide financial benefits. This study uses the Net Present Value (NPV), Internal Rate of Return (IRR), and Benefit Cost Ratio (BCR) methods. The data that has been collected will be analyzed and get a project development perspective from a financial perspective. In this study there is a comparison of profit or loss obtained by looking at data from operational costs, income, and investment costs. The costs used come from maintenance and operational costs incurred during the operation of Pasar Bareng. The results of the feasibility analysis test using the Net Present Value method get a value of Rp. – 7,000,291,269,823. Then, the Benefit Cost Ratio method gets a value of Rp. 0,000,039,423,147. And the last method is the Internal Rate of Return method which gets a value of -1,373,149.77. From the results of this analysis, it can be concluded that the development of Pasar Bareng Malang City is not feasible to do.

 Key words: Feasibility Study, Pasar Bareng, Malang City.
Analisis Keputusan Calon Nasabah Memilih Produk Asuransi Prucinta di PT Prudential Life Assurance Binjai
Authors: Yusrizal Yusrizal , Ritonga Sonia
Published: August 2022

The decision of a prospective customer to choose a product is a decision-making process that begins with the introduction of needs from various options then evaluates them and decides on a choice of a product from many choices.So the decision of a prospective customer in choosing a product is a process that is carried out by a prospective customer when choosing the product, then the prospective customer chooses one of the products from the existing product choices. so that there are no good obstacles that the decisions taken can have effects and cause problems in other fields so that when making decisions, one must be careful in life assurance at the Binjai branch, including products, prices, locations and places where people promote Prucinta products to achieve sales targets for agents or marketers will carry out the prospect of a product presentation fact-finding approach and closing or closing

Keywords : prospective customer decisions, the importance of decisions, prucinta products
Identifikasi Kualitas Kesegaran Susu Kambing Melalui Pengolahan Citra Digital Menggunakan Metode Learning Vector Quantization (LVQ)
Authors: Parahana Dea Parahana
Published: August 2022

Goat milk is milk produced by female goats after giving birth. Goat's milk contains many vitamins, minerals, electrolytes, chemical elements, enzymes, proteins, and fatty acids that are good for body health. The number of people's interest in goat's milk, makes goat's milk farmers to produce goat's milk in various ways for the sake of profit. For example, by reducing the level of purity and freshness of goat's milk by mixing other ingredients other than the original pure goat's milk. The identification process using imagery requires a method that can identify fresh and not fresh goat's milk. There are several methods that can be applied in digital image processing, one of which is using the Learning Vector Quantization (LVQ) method. LVQ is a single layer net with each input layer connected directly to the output neurons. Both are associated with a weight consisting of xi is the input, wii is the weight and yi is the output. Analysis of this calculation is used which becomes the initial value. Learning Rate (α) = 0.05, with a reduction of 0.1 * , and maximum epoch (MaxEpoch) = 1. The results of the analysis of the smallest distance on the 1st weight, so that the input image of the goat's milk test belongs to class 2. Thus, the image data of the goat's milk test is identified as mixed goat's milk.

Keywords: Goat's Milk, Digital Image, Learning Vector Quantization
Advances in a DSL to Specify Smart Contracts for Application Integration Processes
Authors: Dornelles Eldair F. , Parahyba Fernando , Frantz Rafael Z. , Roos-Frantz Fabrícia , Reina-Quintero Antonia M. , Molina-Jiménez Carlos , Bocanegra José , Sawicki Sandro
Published: August 2022

Several languages have been developed for writing smart contracts for specific domains, such as health, finance, and business processes. However, none of them includes the constructors needed for writing smart contracts used in application integration processes which have their own particularities. Such smart contracts are responsible for monitoring the communication between the process and the applications to guarantee that the rights of the parties involved in the integration process are observed. To cover the gap, this paper discusses a domain-specific language for writing smart contracts in the application integration domain. It provides constructors to write smart contracts with a level of abstraction close to the natural language used in conventional contracts.
Detección automática de problemas de accesibilidad a partir de eventos de interacción de usuario
Authors: Toledo Maximiliano Jonathan , Grigera Julián , Garrido Alejandra
Published: August 2022

Muchas actividades de nuestra vida cotidiana se encuentran integradas a aplicaciones web, las cuales deben ser accesibles a todos los usuarios. Por esto resulta fundamental incorporar la accesibilidad al proceso de desarrollo. Para facilitar esta integración y la detección de problemas de accesibilidad, en este trabajo se desarrolló una herramienta automática para la detección y reporte de este tipo de problemas denominada ABF (Accessibility BadSmells Finder). La misma busca ayudar a los desarrolladores a proveer sitios web accesibles, gracias a que realiza búsquedas dinámicas de diversos problemas de accesibilidad y que no son detectados por otras herramientas debido a la complejidad de su detección.
Extending the Sustainability-Quality Model for supporting the design of Persuasive Software Systems
Authors: Quispe-Cruz Marcela , Condori-Fernandez Nelly
Published: August 2022

This research aims at providing a guiding support for the selection of relevant features and quality requirements for designing persuasive software systems. To do this, a mapping between the Persuasive System Design (PSD) model and a generic Sustainability-Quality (SQ) model was carried out. As a result of this mapping, we extended the SQ model, by adding certain types of relationships with specific features of the PSD model. A Graph database tool, named Neo4j, was used for facilitating the visualization of the identified relationships. And we also used the query language Cypher in order to retrieve data from the graph. Finally, we used an existing persuasive software system for illustrating the usefulness of the extended SQ model represented as graphs.
MethApp4Mob: A Methodological Approach for Mobile Applications Development
Authors: Galeano Iris , Merín Mauricio , González Magalí , Cernuzzi Luca
Published: August 2022

The aspects of mobile technology have introduced challenges for developers, raising the need to improve the software development methodologies traditionally used. As a result of the analysis of the state of the art, an agile methodological approach for its development is presented, consisting of 8 phases: negotiation, planning, design, implementation and alpha testing, beta testing and feedback analysis, application publication, release and maintenance, promotion, and a series of steps, good practices, principles and tools, to offer mechanisms to accompany and streamline the development process. Some validations were carried out including a exploratory study, seeking to propose a robust methodology but at the same time easy to apply in a company.
Tool support to aligning requirements and testing through behaviour-driven requirements patterns
Authors: Ribeiro Pollyana de Queiroz , Veiga Ernesto F. , Martins Mariana C. , Vincenzi Auri M. R. , Kudo Taciana N. , Bulcão-Neto Renato F.
Published: August 2022

The software industry still struggles with adverse effects of a weak alignment between requirements and testing. The Software Pattern Metamodel (SoPaMM) aligns requirements and test patterns under the influence of agile practices. However, these patterns will be more beneficial for professionals if development activities are supported by a software tool. This paper presents the behaviour-DRivEn Application Model generator (DREAM) tool, automatically generating requirements and test specifications from SoPaMM-based patterns. We show how DREAM supports requirements elicitation and specification, test case elaboration, and software documentation using a patterns catalogue for electronic health record systems.
Towards an ontology-based recommender system for agile practices adoption
Authors: Roldán M. Luciana , Bollati Verónica A. , Gonnet Silvio M.
Published: August 2022

Choosing the right agile practices to be adopted in a software development process is complex, especially for organizations with little experience and a high turnover of human resources. To select the best practices, it is necessary to consider the characteristics that describe the team, the project, and the context in which they will be applied. In this paper, we propose an ontology-based agile practices recommender. The ontology was built and populated with knowledge obtained from software projects of Argentine organizations. The recommender applies the FP-Growth algorithm to find the most suitable practices for the target profile. In addition, it discovers potential conflicts between the profile and the recommended practices.
Framework socialmente consciente para criação de RPGs para contribuir com o processo de ensino e aprendizagem de Engenharia de Software
Authors: Haddad Flávia Belintani Blum
Published: August 2022

Este artigo apresenta uma pesquisa de doutorado em andamento que objetiva elaborar um framework para criação de jogos de RPG (Role-playing Game) para contribuir com o processo de ensino e aprendizagem de Engenharia de Software (ES). A inovação estará no processo de design do framework, que irá implementar o Design Socialmente Consciente (DSC), o qual possibilita um olhar social somado aos requisitos técnicos. Os métodos de pesquisa incluem pesquisa bibliográfica, oficinas de design semioparticipativo, prototipação e validação do protótipo com o público alvo. Espera-se contribuir com a ampliação da produção e aplicação de jogos no ensino e aprendizagem de ES bem como a disseminação do DSC.
Modelo para Amparar o Desenvolvimento de Protótipos de Sistemas IoT
Authors: Almeida Eduarda Maganha de
Published: August 2022

O termo Internet das Coisas descreve um ambiente onde bilhões de objetos são conectados à Internet e interagem autonomamente. Entretanto, existem desafios no desenvolvimento destes sistemas. As diferentes percepções dos envolvidos e o uso distintos de recursos computacionais podem tornar os requisitos inconsistentes. Dessa forma, caracteriza-se a necessidade de um modelo de prototipação que ampare nos processos de elicitação, análise e visualização dos requisitos desses sistemas. Este artigo relata uma pesquisa, que busca amparar o desenvolvimento de protótipos de sistemas IoT. O modelo reflete uma estrutura de trabalho, para concepção e modelagem visual dos requisitos, com o uso do Design Socialmente Consciente e Realidade Estendida.
Explorando a correlação espaço-temporal no agrupamento de sensores de cidades inteligentes
Authors: Gomes Morgana Gabi , Barros Pedro H. , Ramos Heitor S.
Published: August 2022

Neste trabalho, propusemos uma função de similaridade chamada de SMELL-TS, baseada em aprendizagem de métrica profunda, para classificação de séries temporais no contexto de Zero-shot Learning, i.e., nosso método é apto a classificar objetos que pertecem a classes que ainda não foram usadas no conjunto de treinamento. Os dados são pré-processados pela Transformada de Fourier de Curto Termo, e posteriormente, são mapeados em dois novos espaços de representação, chamados de espaço latente e Espaço-S. Testamos nosso modelo num conjunto de dados reais de sensores distribuídos em um edifício inteligente, buscando agrupar sensores co-localizados no mesmo ambiente. Nosso método apresentou melhores resultados quando comparado com outras técnicas encontradas na literatura, com um ganho de 15 % na métrica de Room Accuracy – porcentagem de sensores co-localizados corretamente agrupados pelo SMELL-TS.
Detecção de anomalias em redes baseada em medições de QoS e rótulos de QoE com ruído
Authors: Santos Gustavo H. A. , Mendonça Gabriel , Leão Rosa M. M. , Souza e Silva Edmundo de
Published: August 2022

Detectar anomalias em redes é essencial para a manutenção de uma boa qualidade de serviço (QoS) e de experiência (QoE). No entanto, rótulos para o treinamento de modelos supervisionados são de difícil obtenção. Propomos um método para detectar anomalias baseado em um modelo estatístico que leva em consideração medições de QoS e rótulos de QoE com ruído para inferir a qualidade de uma rede de acesso residencial. Estimamos os parâmetros do modelo utilizando o algoritmo Expectation-Maximization (EM) e correlacionamos espacialmente os resultados para localizar áreas na rede com problemas de desempenho. Mostramos que o nosso modelo é eficaz utilizando um dataset real com medidas coletadas por 6369 roteadores residenciais durante 18 meses.
Alocação de fatias de rede fim-a-fim para usuários móveis utilizando o simulador MobFogSim
Authors: Gonçalves Diogo M. , Bittencourt Luiz F. , Madeira Edmundo R. M.
Published: August 2022

O fatiamento de rede tem se apresentado como uma tecnologia promissora para o gerenciamento de recursos em redes de computadores modernas como o 5G, criando diferentes redes virtuais sobre uma mesma infraestrutura física. Considerando escalabilidade, flexibilidade e aspectos financeiros, simuladores têm se tornado um possível ambiente para avaliar novas soluções desenvolvidas para esse cenário. Nesse contexto, o simulador MobFogSim foi desenvolvido para avaliar soluções em ambientes de Computação em Nuvem e Névoa, incluindo o suporte para migração de serviços, fatiamento de rede e gerenciamento da mobilidade dos usuários. Neste trabalho, apresentamos as novas funcionalidades do simulador em termos de escalabilidade e suporte ao fatiamento ponta-a-ponta, o que inclui recursos de armazenamento e processamento. Simulações considerando dados reais como parâmetros mostraram o impacto de diferentes critérios na alocação de recursos das redes virtuais, além do aumento da escalabilidade do simulador.
Se for, vá na paz: Construindo Rotas Seguras para Veículos Coletivos Urbanos
Authors: Almeida Vinícius G. J. , Silva Thais R. M. B. , Silva Fabrício A.
Published: August 2022

A mobilidade ciente de contexto pode ser definida como o uso de diferentes tipos de dados para a oferta de melhorias a motoristas, passageiros e para o fluxo de veículos. Um dos serviços relacionados à este cenário é a construção de modelos com base em tais dados para traçar rotas a serem utilizadas por diversos tipos de veículos. Dentre os possíveis contextos a serem considerados, a segurança é um que vem sendo explorado recentemente. Embora os trabalhos sobre rotas seguras encontrados até o momento tenham avaliado variadas soluções, as mesmas foram testadas majoritariamente para veículos particulares e avaliadas sob o ponto de vista computacional. Este trabalho propõe RACIONAL, uma solução de cálculo de rotas seguras para ônibus municipais, construída com base em fundamentos bem aceitos da literatura para veículos particulares, porém adaptados às características específicas dos coletivos, tais como a necessidade de se considerar os pontos de parada e a inviabilidade do uso de mudanças temporais constantes. Os resultados obtidos mostram que, com poucos ajustes espaço-temporais, é possível encontrar rotas que mantêm a cobertura do serviço de transporte público, ao mesmo tempo em que melhora a segurança das mesmas, evitando áreas consideradas perigosas, sem impor aumento significativo da distância percorrida.
Orquestração dinâmica total de fatiamento de rede no núcleo 5G sobre plataforma nativa de computação em nuvem
Authors: Grings Felipe Hauschild , Silveira Lucas Baleeiro Dominato , Muller Nathan Junges , Prade Lúcio , Cardoso Kleber Vieira , Corrêa Sand Luz , Both Cristiano
Published: August 2022

Os avanços tecnológicos na quinta geração (5G) de redes móveis estão alicerçados em plataformas nativas de computação em nuvem e Kubernetes tem se destacado como o sistema de orquestração de infraestrutura virtualizada. Entretanto, essas plataformas não foram projetadas para suportar nativamente os serviços em 5G. Para ilustrar, Kubernetes foi planejado para ser agnóstico aos serviços que orquestra e não é capaz de reconfigurar o núcleo 5G dinamicamente de acordo com os recursos de rede existentes, i.e., provê uma orquestração dinâmica parcial para realizar um fatiamento da rede. Este artigo propõe uma solução integrada ao Kubernetes para permitir a orquestração dinâmica total de fatiamento de rede em tempo de execução, ajustando núcleo 5G. Essa integração é realizada através de um controlador integrado ao Kubernetes e de um proxy de plano de controle. O controlador é capaz de ajustar o núcleo 5G e adaptar a infraestrutura virtualizada, enquanto o proxy cria uma abstração para a comunicação de controle entre as redes de acesso e transporte com o núcleo. Os resultados experimentais apresentaram uma reconfiguração na orquestração dinâmica total sem interrupção dos serviços, reduzindo em 47,5% o número total de requisições de reconfiguração por fatias de rede.
Redes Auto-Reconfiguráveis Randomizadas para Comunicação Distribuída em Datacenters
Authors: Souza Otávio A. O. , Caldeira Caio , Goussevskaia Olga
Published: August 2022

Neste artigo nós estudamos os benefícios de randomização no projeto de topologias de redes auto-reconfiguráveis, ou seja, redes que se adaptam dinamicamente à demanda que atendem em tempo real, de forma online. Apresentamos uma rede randomizada auto-reconfigurável com topologia em árvore, que utiliza randomização para reduzir o custo esperado de reconfiguração por um fator constante, comparado a soluções determinísticas existentes. A nova solução é simples, de fácil implementação, totalmente distribuída e concorrente. Nós provamos que o algoritmo proposto é correto, provamos limites de custo amortizado no pior caso e apresentamos resultados de simulação em sequências de requisições com localidade de referência espacial e temporal variáveis.
Previsão da Classe de Frequência de Acesso de Objetos em Serviços de Armazenamento em Nuvem
Authors: Motta Flávio A. A. , Lemes Patrick R. P. , Golçalves Glauber D. , Bernardino Heder S. , Villela Saulo M. , Vieira Alex B.
Published: August 2022

Os serviços de armazenamento em nuvem oferecem vantagens para usuários domésticos e corporativos como backup, replicação de dados em diferentes locais, compartilhamento de dados e trabalho colaborativo. Além disso, os provedores desses serviços oferecem armazenamento em nuvem hierárquico com múltiplas opções de preços baseado no nível de armazenamento utilizado. Neste artigo, investigamos um aspecto relevante sobre os custos desse serviço para os usuários: a previsão da classe de acesso ao dado como frequente ou infrequente e sua alocação em um nível de armazenamento adequado. Nesse sentido, propomos um modelo de aprendizado de máquina que prevê as classes apropriadas com base em padrões de acesso a dados. Avaliamos o desempenho desse modelo através de base orientadas a traços de dados de um serviço real. Métodos de alocação de dados utilizados na literatura demonstram um potencial de melhoria de até 41% em relação a métodos tradicionais de armazenamento em nuvem. Nossos resultados mostram que existe um potencial de economia no custo de armazenamento de até 15,92% quando comparado a métodos de alocação de dados utilizado na literatura.
Economia de Energia através da Configuração Inteligente de Parâmetros de Camada Física em Redes LoRa
Authors: Carvalho Filho Mário Nascimento , Campista Miguel Elias M.
Published: August 2022

A tecnologia LoRa (Long Range) é caracterizada por comunicações em longa distância e forte resiliência a interferências. No LoRa, a modulação é ajustada para permitir maiores taxas de transmissão de dados em função do limiar de sensibilidade de recepção e distância de comunicação. O fator de espalhamento e a potência de transmissão, por sua vez, estão diretamente relacionados com o consumo de energia, influenciando no desempenho da rede. Este artigo propõe o uso de técnicas de aprendizado supervisionado para seleção simultânea do fator de espalhamento e potência de transmissão. Essa abordagem se diferencia da literatura já que configura de forma supervisionada dois parâmetros ao invés de apenas um, o fator de espalhamento. Através de simulações de uma rede LoRa, diferentes técnicas de aprendizado são avaliadas. Simulações comparam o desempenho da proposta com o protocolo LoRaWAN tradicional e o estado da arte com seleção inteligente do fator de espalhamento. Os resultados mostram que a proposta é capaz de prever o sucesso da transmissão e ajustar os referidos parâmetros de modo a reduzir o consumo de energia, sem prejuízo da vazão e da taxa de entrega de pacotes.
Proposta de um Modelo de Ferramenta de Administração e Segurança Computacional
Authors: Melo Robson Gomes de , Geus Paulo Lício de
Published: August 2022

Este artigo não possui resumo.
Autenticação Mútua entre Dispositivos no Middleware uOS
Authors: Ribeiro Beatriz , Gondim João , Jacobi Ricardo , Castanho Carla
Published: August 2022

Este artigo não possui resumo.
Um Conjunto de Requisitos para Políticas de Certificado e Declarações de Práticas de Certificação
Authors: Marques Daniel C. , Rebello Vinod E. F.
Published: August 2022

Este artigo não possui resumo.
Correlation of Brain Magnetic Resonance Spectroscopy and Diffusion Tensor Imaging with the Severity of Clinical Symptoms in Fibromyalgia Patients
Authors: Karayol Sunay Sibel , Karayol Kudret Cem
Published: August 2022

Background: Fibromyalgia is recognized as a chronic pain syndrome. Widespread pain is a common symptom in fibromyalgia, indicating a potential dysfunction in the processing of painful sensations in the central nervous system. Objectives: This study aimed to investigate changes in the severity of clinical symptoms in fibromyalgia patients and to evaluate the apparent diffusion coefficients and metabolites in the brain of these patients. Patients and Methods: This cross-sectional study included 28 female outpatients with complaints of widespread pain, who were diagnosed with fibromyalgia syndrome. Magnetic resonance imaging, magnetic resonance spectroscopy, and diffusion tensor examinations were applied to evaluate patients diagnosed with fibromyalgia before treatment. Results: The mean age of the patients included in this study was 39.1 ± 8.6 years (range, 24 - 55 years). A statistically significant strong positive correlation was found between the scores of the visual analog scale and the fibromyalgia impact questionnaire. Besides, significant associations were found between the scores of the visual analog scale and fibromyalgia impact questionnaire and the results of fractional anisotropy, apparent diffusion coefficient, and peak values of some metabolites in spectroscopy. Conclusion: The results of this study suggest that metabolites play an inhibitory or excitatory role in the central pain mechanisms of fibromyalgia as a chronic pain syndrome.
Early-Warning Model of Financial Crisis: An Empirical Study Based on partnering of Biotech firms in china
Authors: Li Junjing
Published: August 2022

The overfitting phenomenon in the financial crisis early warning model leads to low accuracy. A financial crisis early warning model is established based on the partnering of Biotech firms in china. Starting from the four sources of the crisis, use indicators to quantitatively reflect the main problems, and establish a financial crisis early warning index system. According to the characteristics of financial data, a rough set is used to discretize the data to make the data characteristics clearer. The financial crisis is classified based on a maximum entropy clustering algorithm to overcome the overfitting problem. Calculate the weight of the index, obtain the comprehensive score, judge the crisis category, and complete the establishment of the financial crisis early warning model. The experimental results show that the average accuracy of the financial crisis early warning model based on MEC is 0.9290, which is 0.1442 and 0.1697 higher than that based on the SVM and RBF neural network. Therefore, the judgment accuracy of this model is much higher than that of SVM-based and RBF-based early warning models, and the results are mostly in line with the actual situation.
Incentives, infrastructure, and research and development needs to support a strong domestic semiconductor industry :
Authors: Sellers Diane , Paulsen Kristin , Gundlach David , Huergo Jennifer , Molnar Michael , Orji Ndubuisi George
Published: August 2022

This report provides a summary of stakeholder responses to the Request for Information (RFI) titled Incentives, Infrastructure, and Research and Development Needs To Support a Strong Domestic Semiconductor Industry, issued by the U.S. Department of Commerce, with the assistance of the National Institute of Standards and Technology (NIST).
Towards a Meta-modeling approach for an IoRT-aware Business Process
Authors: Fattouch Najla , Lahmar Imen Ben , Boukadi Khouloud
Published: August 2022

In the context of Industry 4.0, the Internet of Robotic Things (IoRT) represents an attractive paradigm that aims to supply real-time data and automate tasks via human imitation. An IoRT is defined as the incorporation of IoT technology within robotic systems. In this setting, the business managers may improve performance and increase the productivity of their process by integrating the IoRT within their Business Processes (BPs). Nonetheless, this integration is not a trivial task due to the diversity of the IoT, robot, and BP concepts. In this paper, we address the incorporation of the IoRT within the BP through a lightweight extension of the Business Process Modeling Language 2.0 (BPMN 2.0) meta-model called IoRT-aware Business Process meta-model (IoRT-aware BP2M). Our proposed IoRT-aware BP2M allows, on the one hand, to represent the main concepts of IoT, robot and BP in a unique meta-model, and on the other hand to specify some practical constraints to select the suitable device. As a proof of concept, we generated an IoRT-aware BP model in the agriculture field with some implementation details. Besides, we used the Bunge-Wand-Weber (BWW) ontology to prove the proposed meta-model’s completeness and clarity. The obtained results show that the proposed meta-model has an acceptable completeness value and ontological expressiveness.
Implied volatility based margin calculation on cryptocurrency markets
Authors: Kralik Balazs , Felfoeldi-Szuecs Nora , Varadi Kata
Published: August 2022

The focus of our research is the use of implied volatility in the context of margin calculations on BTC positions. We will compare the standard deviation estimated from historical data to the implied volatility values estimated from ATM option prices. As our main result, we show that the implied volatility is a superior basis for margining purposes. Not only does it perform better in a back test, it also requires lower average margin levels to provide the same risk profile. Our results also show that the logreturns of BTC cannot be assumed to be normally distributed.
COMPARISON OF SEPARATED FAMILIES’ STANDARD OF LIVING IN GERMANY Analyzing the Equalised Incomes in Simulated Families after Child Support and Child Benefit Paid
Authors: Varga Erzsebet Terez
Published: August 2022

In this paper, I describe the inequality in the standard of living in Germany after divorce and compare their risk of poverty. The one-parent families have the highest poverty risk everywhere in the world. In Germany, a directive is available for anybody to determine the child support geared to the non-custodial parent’s disposable income. Assuming that the non-custodial parent pays child support following this directive of düsseldorfer tables I found deep differences in the equalised incomes of the divorced households in simulated cases. Equalised incomes were determined by two types of the OECD scales to make comparable the different composed families’ incomes. Both methods result in fewer life standards for one-parent households in more than 83 % of the cases, however, the risk of poverty is not higher for the custodial parent’s household. This indicates some modification in the directive: the respect of the custodial parent’s income and/or correction of the amounts in the tables mainly on the higher income categories.
A Simple Algorithm Selector for Continuous Optimisation Problems
Authors: El-Mihoub Tarek A. , Tholen Christoph , Nolle Lars
Published: August 2022

A large number of algorithms has been proposed for solving continuous optimisation problems. However, there is limited theoretical understanding of the strengths and weaknesses of most algorithms and their individual applicability. Furthermore, the performance of these algorithms is highly dependent on their control parameters, which need to be configured to achieve a peak performance. Automating the processes of selecting the most suitable algorithm and the right control parameters can help in solving continuous optimisation problems effectively and efficiently. In this paper, a simple online algorithm selector is proposed. It decides on selecting the right algorithm based on the current state of the search process to solve a given problem. Each algorithm in the portfolio of the algorithm selector competes with others and utilises the results of other algorithms to locate the global optimum. The proposed algorithm selector and the algorithms of the portfolio as stand-alone algorithms were benchmarked on the noise-free BBOB-2009 testbed. The results show that the performance of the simple algorithm selector is better than the performances of the individual algorithms in general. It was also able to solve eleven out of twenty-four functions of the test suite to the ultimate accuracy of 10-8.
Optimised bumblebee paths as search strategy for autonomous underwater vehicles
Authors: Tholen Christoph , Nolle Lars , El-Mihoub Tarek A. , Zielinksi Oliver
Published: August 2022

In this paper, the concept of optimized bumblebee (BB) patterns as a search strategy for autonomous underwater vehicles (AUV) is presented. Here, an AUV is used to detect submarine groundwater discharge (SGD) in coastal areas. The optimization of the BB paths is achieved utilizing k-opt optimization. In this research, 2-opt, 3-opt and 4-opt is used for the optimization of the BB paths. It is shown using computer simulations that all three optimization strategies are able to improve the search capabilities of the BB search strategy. The optimization of the BB path shortens the length of the path to visit the waypoints generated. The saved energy can be used for exploring. The median saved path length is 33.8 m, 43.5 m and 52.6 m for the 2-opt, 3-opt and 4-opt, respectively. The median error over 1,000 experiments of the not-optimized BB is 76.26, while the median error of the optimized BB are 71.63, 72.02 and 72.23 for the 2-opt, 3-opt and 4-opt, respectively.
Supply chain resilience management using process mining
Authors: Schaetter Frank , Morelli Frank , Haas Florian
Published: August 2022

Recent events such as the Coronavirus Pandemic or the disruption of the Suez Canal have shown how vulnerable supply chains can be and have led to an increased focus on resilience analysis by companies. We believe that all the data needed to understand the resilience status of a supply chain and identify opportunities for improvement already exists within companies. Therefore, we provide an approach to guide decision makers in this regard. We propose to first perform a rough resilience analysis using a limited set of transactional data. This analysis is based on key resilience areas to identify vulnerable elements of the supply chain that should be further investigated in terms of specific entities, transport relations, and materials. Based on these elements, process mining becomes a promising approach to understand the underlying actions, problems, and possible bottlenecks and to reveal improvement strategies.
Application of the Extended Finite Element Method in the Aim of Examination of Crack Propagation in Railway Rails
Authors: Bobis Daniel , Zwierczyk Peter T. , Mate Tamas
Published: August 2022

In this research, a rolling contact fatigue (RCF) caused crack the so-called head check (HC) was studied by the extended finite element method (X-FEM). The formation and treatment of these cracks is a major problem in the railway industry worldwide.  The study aimed to explore the capabilities of the X-FEM concerning examinations of crack propagation in rolling contact conditions. The paper introduces the X-FEM from a practical point of view, with an emphasis on the application of the method, rather than focusing on the exact values. Results showed that the method can be used adequately for such complex issues as examination of crack propagation. However, the possibilities of this technique are quite limited in practice yet due to technical reasons.
GENOR: A Generic Platform for Indicator Assessment in City Planning
Authors: Leplat Leo , da Silva Torres Ricardo , Aspen Dina , Amundsen Andreas
Published: August 2022

More and more data have been generated in city planning in the past few years. Clear visualizations of this data are helpful to support information comprehension and retention for urban practitioners and policy-makers. Much research has been carried out on modeling and integrating data, and different tools have been developed for visualizing urban data. However, such tools are generally application dependant and cannot address other problems. This work introduces GENOR, a generic platform for indicator assessment in city planning. It consists of a client-server application able to store and process any indicator and provide 2D and 3D map-based views for visualization. A game engine (Unity) was used to create the client application, and the server consists of a REST API and a DBMS. Two cases studies were conducted to show the use of the platform: walkability and bus service availability assessment, both in the city of Ålesund, Norway. Obtained results demonstrate that the platform is flexible as it can be tailored to different applications seamlessly.
Heuristic Techniques for Reducing Energy Consumption of Household
Authors: Daragmeh Sarah M. , Karlsen Anniken Th. , Hameed Ibrahim A.
Published: August 2022

Efficient energy demand management plays an essential role in smart grid, sustainable and smart cities applications and efforts to reduce CO2 emissions. In this paper, we propose a framework for describing the household daily energy consumption and how it can be used to help residential households to perform appliance rescheduling to reduce energy consumption and hence reducing their energy bills while keeping resident’s comfort. In this paper, heuristic optimization techniques such as genetic algorithm (GA) and particle swarm optimization (PSO) are used for solving the load scheduling problem. Due to its ability to deal with computational complex scenarios in less computational time using less and less computational resources, Heuristic optimization techniques are used. In the proposed model, dynamic pricing is adopted where the objective is to minimize the overall cost of electricity consumption and payments by scheduling different devices in a way that fulfil each individual’s constraints and preferences. Here, MATLAB was used as the simulation platform. Simulation results showed that GA and PSO can optimize energy consumption and bills and at the same time fulfils needs and preferences of each individual customer.
Epistemic Games with Conditional Believes for Modelling Security Threats Defence in Cloud Computing Systems
Authors: Gaza Lukasz , Jakobik Agnieszka
Published: August 2022

We presented Epistemic Games with Conditional Believes model for automating security decisions in Cloud Computing systems. The model assumes attack-defence scenarios. The game stages model Cloud provider and Cloud attacker rivalry to maximise their payoffs. The paper presents the methodology for including the believes about opponent’s rationality. The presented model allows considering the attack on Cloud system in a realistic way. The proposed solution has been tested by the experimental analysis on Cloud Sim simulator. Presented model enables finding strategies for the Cloud provider to protect assets from cyber-security attacks.
Time series clustering with different distance measures to tell Web bots and humans apart
Authors: Suchacka Grazyna
Published: August 2022

The paper deals with the problem of differentiating Web sessions of bots and human users by observing some characteristics of their traffic at the Web server input. We propose an approach to cluster bots’ and humans’ sessions represented as time series. First, sessions are expressed as sequences of HTTP requests coming to the server at specific timestamps; then, they are pre-preprocessed to form time series of limited length. Time series are clustered and the clustering performance is evaluated in terms of the ability to partition bots and humans into separate clusters. The proposed approach is applied to real server log data and validated with the use of different time series distance measures and clustering algorithms. Results show that the choice of a distance measure and a clustering method significantly affects clustering efficiency. The best results for the considered scenario were achieved for distance measures based on nonparametric spectral estimators and the Euclidean distance with a complexity correction factor.
A DSL-based modeling approach for energy harvesting IoT/WSN
Authors: Campanile Lelio , Iacono Mauro , Marulli Fiammetta , Gribaudo Marco , Mastrioianni Michele
Published: August 2022

The diffusion of intelligent services and the push for the integration of computing systems and services in the environment in which they operate require a constant sensing activity and the acquisition of different information from the environment and the users. Health monitoring, domotics, Industry 4.0 and environmental challenges leverage the availability of cost-effective sensing solutions that allow both the creation of knowledge bases and the automatic process of them, be it with algorithmic approaches or artificial intelligence solutions. The foundation of these solutions is given by the Internet of Things (IoT), and the substanding Wireless Sensor Networks (WSN) technology stack. Of course, design approaches are needed that enable defining efficient and effective sensing infrastructures, including energy related aspects. In this paper we present a Domain Specific Language for the design of energy aware WSN IoT solutions, that allows domain experts to define sensor network models that may be then analyzed by simulation-based or analytic techniques to evaluate the effect of task allocation and offloading and energy harvesting and utilization in the network. The language has been designed to leverage the SIMTHESys modeling framework and its multiformalism modeling evaluation features.