A proposal to improve wearables development time and performance : software and hardware approaches.

Programa de P?s-Gradua??o em Ci?ncia da Computa??o. Departamento de Ci?ncia da Computa??o, Instituto de Ci?ncias Exatas e Biol?gicas, Universidade Federal de Ouro Preto.Wearable devices are a trending topic in both commercial and academic areas. Increasing demand for innovation has raised the number of research and products, addressing brandnew challenges, and creating profitable opportunities. Current wearable devices can be employed in solving problems in a wide variety of areas. Such coverage generates a relevant number of requirements and variables that influences solutions performance. It is common to build specific wearable versions to fit each targeting application niche, what requires time and resources. Currently, the related literature does not present ways to treat the hardware/software in a generic way enough to allow both parts reuse. This manuscript presents the proposal of two components focused on hardware/software, respectively, allowing the reuse of di?erent parts of a wearable solution. A platform for wearables development is outlined as a viable way to recycle an existing organization and architecture. The platform use was proven through the creation of a wearable device that was enabled to be used in di?erent contexts of the mining industry. In the software side, a development and customization tool for specific operating systems is demonstrated. This tool aims not only to reuse standard software components but also to provide improved performance simultaneously. A real prototype was designed and created as a manner to validate the concepts. In the results, the comparison between the operating system generated by the tool versus a conventional operating system allows quantifying the improvement rate. The former operating system showed approximate performance gains of 100% in processing tasks, 150% in memory consumption and I/O operations, and approximately 20% of reduction in energy consumption. In the end, performance analysis allows inferring that the proposals presented here contribute to this area, easing the development and reuse of wearable solutions as a whole

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear un derstanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5–7 vast areas of the tropics remain understudied.8–11 In the American tropics, Amazonia stands out as the world’s most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepre sented in biodiversity databases.13–15 To worsen this situation, human-induced modifications16,17 may elim inate pieces of the Amazon’s biodiversity puzzle before we can use them to understand how ecological com munities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple or ganism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region’s vulnerability to environmental change. 15%–18% of the most ne glected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lostinfo:eu-repo/semantics/publishedVersio

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear understanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5,6,7 vast areas of the tropics remain understudied.8,9,10,11 In the American tropics, Amazonia stands out as the world's most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepresented in biodiversity databases.13,14,15 To worsen this situation, human-induced modifications16,17 may eliminate pieces of the Amazon's biodiversity puzzle before we can use them to understand how ecological communities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple organism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region's vulnerability to environmental change. 15%–18% of the most neglected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lost

Lifecycle Information Systems : the concept, principles and an approach.

The aim of this article is to introduce the concept of lifecycle information systems (LCISs), in which the main purpose is to permit the development of ISs capable of supporting the management of information of an entity during its whole lifecycle. In order to validate this concept, we outline the MyHistory which consists in an experimental IS structured in four different contexts, supporting the information management of persons during their lifecycle. As the main contribution, this article introduces a new approach for the development of ISs which can improve the current way of information management of entities

Field research cooperative wearable systems : challenges in requirements, design and validation.

The widespread availability of wearable devices is evolving them into cooperative systems. Communication and distribution aspects such as the Internet of Things, Wireless Body Area Networks, and Local Wireless Networks provide the means to develop multi-device platforms. Nevertheless, the field research environment presents a specific feature set, which increases the difficulty in the adoption of this technology. In this text, we review the main aspects of Field Research Gears and Wearable Devices. This review is made aiming to understand how to create cooperative systems based on wearable devices directed to the Field Research Context. For a better understanding, we developed a case study in which we propose a cooperative system architecture and provide validation aspects. For this matter, we provide an overview of a previous device architecture and study an integration proposal

Proposal of a construct for information management in the agent life-cycle.

Atualmente as infroma??es geradas por um agente (ex. uma pessoa; um autom?vel; uma obra p?blica, etc.) ao longo do seu ciclo de vida encontram-se espalhadas por diferentes sistemas de informa??o (SIs) de diferentes organiza??es. Por exemplo, um cidad?o ao longo de sua vida gera informa??es nos mais variados tipos de organiza??o (ex. hospitais, escolas, empresas, reparti??es p?blicas, etc.). Todavia, estas informa??es contidas nos SIs destas organiza??es n?o podem ser livremente acessadas por este cidad?o. Contudo, frente ao atual desenvolvimento tecnol?gico ? poss?vel desenvolver SIs capazes de centralizar em um ?nico resposit?rio as informa??es geradas por um agente ao longo do seu ciclo de vida, constru??o essa ainda pouco observada em nossa sociedade. Em face desta oportunidade de pesquisa neste artigo ? proposto um construto para gest?o da informa??o no ciclo de vida dos agentes (GICVA). Tendo em vista seu car?ter aplicado ? utilizado o m?todo Design Science Research (DSR). Em seguida, este construto ? demonstrado por meio de um SI para gest?o de informa??es de pessoas em dois contextos. Da perspectiva conceitual este artigo apresenta um novo construto que permitir? desenvolver SIs sob um novo paradigma. Da perspectiva da aplica??o, SIs baseados nos princ?pios da GICVA poder?o ser implementados para gerenciar informa??es de diferentes tipos de agentes, tais como pessoas, autom?veis, im?veis, projetos, dentre outros, podendo trazer grandes benef?cios para a sociedade.Currently, information generated by an agent (e.g., a person; a vehicle; a public project, etc.) across its life cycle is scattered in different information systems (ISs) of different organizations. For instance, a citizen during his life generates information in various kinds of organizations (e.g., hospitals, schools, firms, public bureaus, etc.). However, the information inserted in the ISs of these organizations cannot be freely accessed by this citizen. Nevertheless, referring to the current technological development, it is possible to develop ISs capable of centralizing in a unique repository the information of different kinds of agents, across their lifecycle. Owing to this opportunity of research in this article is introduced a construct for information management in the agent lifecycle (IMALC). Considering its applied character, it is used the Design Science Research (DSR) method. This construct is also demonstrated through an application for information management of persons, in two contexts of day-to-day life. From the conceptual perspective, this article presents a new construct for the development of ISs, under a new information management paradigm. From the applied research viewpoint, ISs which incorporate the IMALC principles can be applied to the management of information of different types of agents, such as, persons, automobiles, buildings, projects, and so on, bringing great benefits for the society