Mario José Diván

Intel

Scenario: System reliability monitoring focuses on determining the level at which the system works as expected (under certain conditions and over time) based on requirements. The edge computing environment is heterogeneous and distributed. It may lack central control due to the scope, number, and volume of stakeholders. Objective: To identify and c...

The Internet of Things emerged as a clear alternative to increase the spatiotemporal resolution of data in places where cost or other reasons avoided the possibility. It increased the resolution of devices but also the heterogeneity of devices and data. In this sense, concerns and challenges around data interoperability are latent research topics j...

Un proceso de medición debiera ser repetible, extensible a nuevos requerimientos y sus medidas debieran poder ser comparables. Esto es así, para poder posibilitar que el mismo proceso de medición pueda ser implementado por diferentes actores, de manera que sus resultados sean comparables a lo largo del tiempo. Definido el proceso de medición, las m...

The sudden outbreak of coronavirus has caused schools to be shut and normal academic activities are put on hold. Many universities use small private online courses (SPOC) to facilitate the combination of MOOC and traditional campus classroom teaching, which effectively make up for the shortcomings of MOOC. This study is based on the teaching design...

Data Centers & cloud hosting services are critical for IT workload. Datacenter organizations need to equip them with the latest technologies to estimate the power usage efficiency (PUE) to cater to their hosting customers' requirements. Power usage efficiency is one of the major metrics to check how efficiently Data Center consumes their power. To...

Industry 4.0 requires standardized information models for heterogeneous platform integration. Two standards for interoperability are IEC 62541-a machine-to-machine communication protocol expressed in OPC Unified Architecture (OPC UA) format-and IEC 62714 to describe production plants or plant components expressed in AutomationML format. Despite the...

Data center hosting is in higher demand to fulfill the computing and storage requirements of information technology (IT) andcloud services platforms which need more electricity to power on the IT devices and for data center cooling requirements. Because of the increased demand for data center facilities, optimizing power usage and ensuring that dat...

The term IoT (Internet of Things) constitutes the quickly developing advanced gadgets with highest computing power with in a constrained VLSI design space [...]

Skin color detection is a challenging problem in the field of image processing. Basically, the color of human skin is created by a combination of blood (red) and melanin (yellow, brown). Skin colors lie between these two extreme hues and are somewhat saturated. The main purpose of this proposed algorithm is to improve the detection and recognition...

This book covers current technological innovations and applications in image processing, introducing analysis techniques and describing applications in remote sensing and manufacturing, among others. The authors include new concepts of color space transformation like color interpolation, among others. Also, the concept of Shearlet Transform and Wav...

The measurement process constitutes a key asset for supporting the decision-making process. The possibility of implementing a Data-driven Decision-making strategy is essential in different areas, contemplating different restrictions according to the field (e.g., the processing time in health and finance have different tolerance and latency). The In...

Knowledge management refers to data jointly with their meaning and relationships to foster a consistent, accessible, and integrated view of knowledge. Complemented by the recommendation strategies, it is useful for supporting different decision-making processes in intelligent systems. The knowledge graphs (KGs) allows describing entities, objects,...

This book addresses the topics related to the IoT, machine learning, CPSs, and cloud computing for Industry 4.0. It brings together researchers, developers, practitioners, and users who are interested in these areas to explore new ideas, techniques, and tools and to exchange their experiences. This book intends to encourage researchers to develop n...

The rapid increase in the IT infrastructure has led to demands in more Data Center Space & Power to fulfil the Information and Communication Technology (ICT) services hosting requirements. Due to this, more electrical power is being consumed in Data Centers therefore Data Center power & cooling management has become quite an important and challengi...

The Internet-of-Things devices have allowed the increment of the Spatiotemporal resolution in the Real-time Data Gathering Systems. However, this has increased the complexity due to the heterogeneity of sensors. Thus, it is important to know how data can be understood aware of its context at the edge. Also, a transversal perspective is expected for...

The Internet of Things has been raised as an alternative for implementing different data collection strategies. Because of the limited hardware, it is complemented with edge computing trying to bring the computing power as close to the data source as possible. Collected data have particular importance for building different kinds of artificial inte...

The book includes a selection of the best papers presented at the Third International Conference on Sustainable Computing (SUSCOM 2021), held in Jaipur, India, during 19 – 20 March 2021. It covers topics like the Internet of things (IoT); artificial system of security; smart storage and knowledge retrieval using data cloud; intelligent transport ma...

In this chapter, the effect of the measurement process on big data analytics is contrasted with the business intelligence perspective, highlighting similarities, differences, and the natural evolution of a set of terms and concepts. Also, the incidence of the IoT and data streaming on big data analytics is compared to the batch data processing stra...

An Increase in Data Center power requirements has placed significant pressure on traditional Data Center cooling management Systems. The temperature in the Data Center is controlled using Air handling units (AHUs) who play a critical role in a Data Center to manage the required temperature and to ensure the best possible performance. As the targete...

Smart Agriculture has taken a relevant role due to the importance of food production in contrast to the global population growth. In this sense, alternatives for improving the efficiency and efficacy related to the production systems are welcomed. The Internet-of-Thing (IoT) has allowed increasing the coverage in the field through the use of open-h...

Scenario: The particulate matter (PM) is associated with all particles (solid and liquid) suspended in the air. Depending on the kind and size of the particle, each one represents different kinds of risks for human health. The emerging of tiny, available, and accessible devices related to the Internet-of-Things (IoT) has allowed the implementation...

The Data Stream Processing Strategy (DSPS) is focused on the automatization of measurement projects based on a measurement framework. The measurement adapter (MA) is an architecture component located on mobile devices aims to integrate heterogeneous data sources (i.e., sensors). The Gathering Function (GF) is the component responsible for interacti...

An intelligent system is a technology that has opened diverse ranges of possibilities due to its availability, value, and accessibility. Such an intelligence resides in the possibility to measure and know the current state of entities or environments. Thus, the measurement process constitutes a key asset for many aspects related to the intelligence...

The Internet-of-Things (IoT) has emerged as an alternative to communicate different pieces of technology to foster the distributed data collection. The measurement projects and the Real-time data processing are articulated to take advantage of this environment, fostering sustainable data-driven decision making. The Data Stream Processing Strategy (...

This work implements a systematic mapping study (SMS) of the literature for identifying strategies and approaches oriented to support the data-driven decision-making in agriculture, using internet-of-thing (IoT) devices. SMS is applied to the Scopus database, focusing on data coming from IoT devices that eventually could be complemented through big...

Data Stream Processing Strategy (DSPS) is a data stream engine oriented to measurement projects, which could incorporate Internet-of-Thing (IoT) devices as data collectors. Due to the IoT devices could be heterogeneous and even have their own format for data interchanging, the integration of such measures and their traceability increase the system...

Under the category of the data stream engine, it is possible to find software that is able to process data arriving in real-time from different data sources. In this sense, the Internet-Of-Things (IoT) has played a key role because it provides the bases for implementing a cheap and interesting alternative for data collecting, deploying different ki...

Software security has been an area of immense research as most of the things surrounding us are technology based. Much has been talked about vulnerabilities, their categories and types. Some studies elaborated and extended the available discovery models but few have considered the correction process in the same work. In this study, an approach to d...

Data-driven decision-making solutions are under increasing demand in healthcare for development, testing, and trials, with the intention of such solutions being available in both hospitals and homes. This special issue will offer valuable perceptions to researchers and engineers on how to design robust multimedia medical data analytics systems and...

Los proyectos de medición y evaluación son definidos utilizando un marco formal de medición y evaluación, el cual permita considerar la entidad bajo monitoreo, la cual forma parte de nuestro análisis. Puede suceder, que dicha entidad, no cuente con experiencia o conocimiento previos, provocando esto que no se pueda recomendar sugerencias en situaci...

The number of data centres is increasing rapidly since more people are now using cloud services for data storage and management. Due to this, the total power consumption of the data centres is also increasing. The energy efficiency of the data centres is not very high due to a variety of reasons like heat loss by equipment and power factor issues....

Image processing is a great tool for many applications in our day to day life. As we are in the midst of a visually captivating world which have a variety of forms and shapes, color, texture, motion etc. This is the great capability of human who can acquire, integrate and interpret the information around us. It becomes challenging task to impart th...

The real-time data analysis requires an integrated approach to know the last known state of variables of a concept under monitoring. Thereby, the Internet-of-Thing (IoT) devices have provided alternatives to address distributed data collection strategies. However, the autonomy of IoT devices represents one of the main challenges to implement the co...

Scenario: The current markets require online processing and analysis of data as soon as they arrive to make decisions or implement actions as soon as possible. PAbMM is a real-time processing architecture specialized in measurement projects, where the processing is guided by measurement metadata derived from a measurement framework through the proj...

The novel applications of Internet of Things (IOT) and Computational intelligence in real time decision making environment can be regarded as an emerging field in computer science, artificial intelligence and systems engineering. The uses of IOT and Computational intelligence have seen an emergence in different professional fields due to its abilit...

Data constitute the raw material of any kind of processing strategy and the core elements from the statistical learning viewpoint. The key aspect is the way in which a data processor or algorithm could capture the essence of the data meaning for discriminating its behaviour based on its semantic. In this complexity, the data stream processing incor...

The surveillance dataset of central line-associated bloodstream infection (CLABSI) in agreement with Healthcare-Associated Infections (HAIs) is treated as a significant measure for the distribution of problems associated with CLABSI. The data serves as an important statistic in preventing the CLABSIs. The validation of HAI data is considered as a k...

Internet-Of-Things (IoT) is useful for data collecting due to its portability, costs, and the wide alternatives of heterogeneous devices related to the field deployment. The outpatients are a natural context to be monitored based on IoT devices. Data semantic is a key asset, mainly thinking about risk prevention and the support to the Data-driven d...

The Data Stream Processing Strategy (DSPS) focus on online data processing based on IoT environments. Because of the IoT devices are possibly heterogeneous between them, the data gathering is coordinated through a measurement adapter (MA), who is responsible for data transmission to the data processor. In this work, measures' indirect transmission...

The detection and evaluation of semantically similar entities in measurement projects is a key asset for real-time decision making because it allows reusing their knowledge and previous experiences. In this way, the objective of this work is to map the thematic area of data stream processing to identify the topics that have been investigated in the...

Sustainability is itself an interdisciplinary study that includes use of computational intelligence and optimization approaches for appropriate utilization of resources. The sustainable systems have applications across various fields including science, technology and management. It attracts people from industry and academia with innovative ideas. T...

Nowadays, data are generated both by users and other systems deriving new data from the previous ones for supporting decision making. The Electronic Health Records contains from structured data (e.g. hospital id, etc.), semi-structured data (e.g. a Health Level Seven-based records), to unstructured data (e.g. patient's symptoms). The big challenge...

Nowadays, the data has a dynamic never seen before. They have continuous growth which is associated with the permanent generation from both data entered by users and new data derived from systems. In this context, the data visualization plays a highlighted role because it allows synthetically communicating high-data volume making them understandabl...

Most enterprises host their critical data in data centers to have a secure, robust environment supporting the highest uptime for their IT operations. As per industry best practices, standards, conference papers and journals; there are various ways suggested through which efficiency of data center is calculated. This review paper provides informatio...

The real-time data processing is becoming in a key aspect in relation to the Internet-of-Thing (IoT) applications. The IoT is characterized by the heterogeneity of the devices and for that reason, the data providing rate of each one is variable and unpredictable. Because the data arriving rate from the data sources could exceed the data processing...

Colorectal cancer is the third largest cancer in the world and is second most common cause of cancer related death in the world. It has led to a large number of deaths because of not being treated on time. It originates in the form of polyps which are not cancerous. If treated on time, it can be cured otherwise it grows and converts into cancerous...

The Data Stream Processing Strategy (DSPS) is oriented to direct data collecting based on measurement projects in IoT environments. Because of the IoT devices are possibly heterogeneous between them, the data gathering is coordinated through a measurement adapter (MA), who is responsible for data transmission to the data processor. In this work, me...

The genre violence constitutes a social scourge that has broad effects on the social nucleus. This kind of issues affect in a direct way to women but also all the dependents. Sadly, this scourge does not respect any kind of age, being present both young and elderly women. The complexity of the generated situation impacts in the present, but also co...

The open government platforms allow governments centralize and share different kinds of datasets useful for making transparent public management. The data in this kind of platform are shared in different formats, but mainly in tabular data formats, oriented to facilitate its download and use by any citizen. The government of Argentina developed dat...

The dynamism of the economies requires updated data when decisions must be made. Currently, the Internet-of-Things incorporates a lot of different tiny and low-cost electronic devices able to be used for implementing a measurement process. However, those data sources are heterogeneous. The Data Stream Processing Architecture (DSPA) uses a Measureme...

La Arquitectura de Procesamiento de Flujos de Datos es una estrategia de procesamiento basada en Apache Storm focalizada en proyectos de medición y evaluación. Los proyectos de medición y evaluación son definidos utilizando un marco forma de medición y evaluación que permite establecer previamente la entidad bajomonitoreo junto con sus conceptos as...

La propuesta que aquí se realiza es diseñar y desarrollar una herramienta de medición de similitud documental, contemplando el análisis semántico y permitiendo la visualización de su esquema de relaciones, para facilitarle al usuario final la selección desde una base documental de carácter científico. Para esto, serán analizadas y comparadas divers...

Data are continuously arriving in the current markets, and the data stream engines are an alternative for this kind of application. PAbMM is a real-time processing architecture specialized in measurement projects and mounted on Apache Storm. The project definitions are loaded based on a measurement and evaluation framework. In this framework, the i...

The real-time data processing is continuously demanded by their implications in the real-time decision-making process. The data stream processing strategy implements an automatization of the measurement process based on a measurement and evaluation (M&E) framework for supporting real-time decision making. The decision making is based on the indicat...

The real-time data processing jointly with the decision making is permanently demanded in the current economy. The Measurement and Evaluation (M&E) process represent a key asset for knowing the environment from a quantitative viewpoint. A measurement process must warranty its repeatability, consistency, and the comparability of its results. The int...

Context: Detecting and evaluating semantically similar entities in measurement projects is a key asset for real-time decision making because allows reusing their knowledge and previous experiences. Objective: The goal of this work is to map the thematic area of data stream processing to identify the topics that have been investigated in the detecti...

The IoT allows a new kind of monitoring strategy based on the heterogeneity of the devices and its lower cost. It implies a challenge in terms of the data interoperability and the associated semantic when they must support the real-time decision making. In this chapter, an integrated and interdisciplinary view of the data processing in the heteroge...

The real-time data processing is becoming in a key aspect in relation to the Internet-of-Thing (IoT) applications. The IoT is characterized by the heterogeneity of the devices and for that reason, the data providing rate of each one is variable and unpredictable. Because the data arriving rate from the data sources could exceed the data processing...

The real-time data processing is continuously demanded by their implications in the real-time decision-making process. The data stream processing strategy implements an automatization of the measurement process based on a measurement and evaluation (M&E) framework for supporting real-time decision making. The decision making is based on the indicat...

The processing strategy based on measurement metadata is a data stream engine running on Apache Storm, who is able to process measures in real-time. In the data stream context, the data have no associated limit, they are al-ways arriving. The Attribute-Relation File Format (ARFF) is used by popular software like Weka, allowing offline analysis in t...

Challenges and Perspectives related to the Measurement and Real-Time Decision Making.

PAbMM is a data stream engine which implements a real-time data processing strategy focused on the Measurement and Evaluation (M&E) projects. This allows active monitoring of different kinds of the entities under analysis specified in the projects. The M&E projects are defined using an M&E framework with the aim of keeping the comparability and ext...

The CINCAMI/Measurement Interchange Schema (MIS) organizes jointly data and metadata generated from the heterogeneous measurement devices under the same data stream. The Processing Architecture based on Measurement Metadata (PAbMM) is a data stream engine which processes the data streams organized under the CINCAMI/MIS schema. PAbMM is able to repl...

The CINCAMI/Measurement Interchange Schema (MIS) organizes jointly data and metadata generated from the heterogeneous measurement devices under the same data stream. The Processing Architecture based on Measurement Metadata (PAbMM) is a data stream engine which processes the data streams organized under the CINCAMI/MIS schema. PAbMM is able to repl...

The real-time data processing constitutes a critical area when talking about real-time decision making. Strong decisions are based on recommendations for describing the associated course of actions, but the real-time processing gives a very short time for searching them. The Processing Architecture based on Measurement Metadata is a data stream eng...

The real-time decision making has particular importance in the current economy. The systems continuously gather data from many heterogeneous sensor networks but not all the data are useful at the moment of making a decision. The information for supporting the decision-making process in a reliable system should be associated with consistent, current...

The Processing Architecture based on Measurement Metadata (P AbMM) is a data stream engine, specialized in Measurement and Evaluation (M&E) projects. In order to foster the comparable and consistent measures, the measurement automation should be consistently defined and to be understandable considering its implementation. For this reason, PAbMM use...

In terms of the data-driven decision making, real-time monitoring becomes day by day in a key asset. The financial markets, natural disasters, telecommunications among other are scenarios in which the data in the right moment could make a big difference. In this work, the "Bajo Giuliani" project is introduced. The project's aim is related to the mo...

El campo de la Recuperación de Información (en adelante, referido como RI) abarca las tareas que típicamente se esperan de un motor de búsqueda, tales como búsqueda, recuperación y ordenamiento por relevancia de documentos cuyo contenido sea coincidente con alguna consulta realizada por un usuario (además de la presentación de esos resultados al pr...

The real-time data processing is becoming in a key aspect in relation to the Internet-of-Thing (IoT) applications. The IoT is characterized by the hetero-geneity of the devices and for that reason, the data providing rate of each one is variable and unpredictable. Because the data arriving rate from the da-ta sources could exceed the data processin...

In this work an updating of the C-INCAMI (Context-Information Need, Concept model, Attribute, Metric and Indicator) conceptual framework for Measurement and Evaluation projects was proposed. The updating incorporated better supporting for the measures stream processing. Therefore, a new version of the measurement interchange schema based on the upd...

Along the decision-making process, we depend on assumptions, premises, the context and this is guided through the aim associated with the decision itself. The context and assumptions represent external aspects out of the control of any decision maker, but the premises and the knowledge of the company depend on our data. A common conceptual mistake...

The transactions through the Internet continuously happen and represents a propitious field for data stream processing. Moreover, the decision-making process associated with online processing requires support or knowledge from previous experiences. With the aim of to be more accurate in the managing and retrieving of the organizational knowledge (o...

The Processing Architecture based on Measurement Metadata (PAbMM) is a data stream management system specialized in measurement and evaluation (M&E) projects, which incorporates predictive and detective behavior on data streams. It uses a case based organizational memory for recommending courses of action in each detected online situation and previ...

In this invited talk, a strategy for the data monetization in tune with the data stream processing is shown. The current organizations have a challenge not only the processing of the big data repositories but also the data monitoring in real-time for guiding their commercial strategies. When an organization is closer to its customers, it has a bett...

In this work, the experiences about the application of business process modeling at public organizations of La Pampa province (Argentina) are synthesized. The common strategy used in the process modeling for public organizations is described. Follows, we summarize three application cases with different business domains: a) The Social Security Insti...

El Radar Meteorológico (RM) de la Estación Experimental Agropecuaria INTA Anguil produce en forma diaria un volumen de 17GB de datos, lo cual representa anualmente alrededor de 6,2 Tb. La utilización de dichos datos al momento en que son generados, como así también su posterior gestión, utilización y la posibilidad de brindar servicios al público r...

In the aim to manage and retrieve the organizational knowledge, in the last years numerous proposals of models and tools for knowledge management and knowledge representation have arisen. However, most of them store knowledge in a non-structured or semi-structured way, hindering the semantic and automatic processing of this knowledge. In this paper...

With the aim to manage and retrieve the organizational knowledge, in the last years, numerous proposals of models and tools for knowledge management and knowledge representation have arisen. However, most of them store knowledge in a non-structured or semi-structured way, hindering the semantic and automatic processing of this knowledge. In this pa...

In this invited talk, a processing architecture specialized in the measurement and evaluation will be shown. One key aspect associated with the measurement process is that the measures must be consistent and comparable at any moment for making decisions properly. In this way, the processing architecture is based on the C-INCAMI framework (Context-I...

The Weather Radar (WR) of the Experimental Agricultural Station (EAS) INTA Anguil produces daily a volume of 17GB of data, which represents about 6.2 Tb annually. The use of such data when they are generated, as well as its subsequent management, use and the possibility of providing services to the public represent a challenge in terms of volume an...

In this work, we propose an Integrated Strategy based in Processes, Requirements, Measurement, and Evaluation, whose objective is to identify and maintain traceability of such requirements at early stages in data warehouse projects. Our strategy starts with the process of formalization using SPEM to improve its communicability and extensibility. Fr...

Una estrategia para guiar la automatización de sistemas de información gubernamentales, asociados con la construcción de viviendas sociales en La Pampa es propuesta. La estrategia se basa en: a) La modelización de procesos mediante SPEM (en inglés, Software & Systems Process Engineering Metamodel), b) El empleo de GOCAME (en inglés, de Goal-Oriente...

Este trabajo evoluciona la estrategia integrada de procesamiento de flujos de datos centrada en metadatos de mediciones (EIPFDcMM), incorporando Big Data para la gestión persistente del flujo de mediciones con metadatos y memoria organizacional para la gestión de experiencias previas.Se formalizan mediante SPEM los cambios en el procesamiento de da...

Este trabajo discute los procesos centrales de la Fiscalía de Investigaciones Administrativas de La Pampa, el modo en que se estructura el esquema de medición y evaluación sobre los mismos, y cómo se informan sus mediciones. Ello permite establecer un monitoreo sobre los procesos sin perder la visión global de la Organización, y manteniendo una per...

In this work we discuss a strategy for detecting and monitoring changes of the key data associated with the family groups. Based on these data, the family group will be positioned inside of the ranking for access to a social housing in the province of La Pampa (Argentine). Additionally, we summarize a procedure to simulate the provincial ranking wi...