scholarly journals Desenvolvimento de capacete inteligente para aplicações de pesquisa de campo ecológico

2019 ◽  
Author(s):  
Mateus Coelho Silva ◽  
Sérvio Pontes Ribeiro ◽  
Saul Delabrida ◽  
Ricardo Augusto Rabelo Oliveira

Forest inventory and management are important topics to enhance environmental protection initiatives and policies. Thus, sampling processes inside the forest environment are normally manual and limited. These conditions nurture an increasing need for novel solutions to enhance environmental perception, especially in ground-sampling processes. In this work, we present a new solution to augment environmental perception. The proposed appliance is a wearable embedded system based on a helmet and projected to acquire environmental data. It also allows the development of new applications to expand the researcher reality perception.

Phytotaxa ◽  
2021 ◽  
Vol 494 (2) ◽  
pp. 231-236
Author(s):  
DAVID ÍTALLO BARBOSA ◽  
TIAGO ESPÓSITO O. MELO ◽  
FÁBIO ANDRÉ BREYNER ◽  
LAISE DE HOLANDA CAVALCANTI

Diderma aglomerospora is here proposed as a new species based on morphological analyses. The new species resembles D. badhamioides by possessing clustered spores but differs from it by the absence  of a columella and narrower filaments of the capillitium. The type material was developed in moist chamber assembled with bark of live trees from a restinga forest environment in the Guadalupe Environmental Protection Area, Pernambuco, Northeast Brazil. Sporocarps are described and illustrated, and comments on characteristics of the microhabitat are provided.


Author(s):  
Volkhard Klinger

This article describes how as a result of technological advances of the embedded system, the Internet-of-Things (IoT) has created a wealth of new applications and tailored solutions, even in the area of health and medical technology. The integration of state-of-the-art IoT-systems in an existing prototype platform for biosignal acquisition, identification, and prosthesis control provides new applications for prevention and rehabilitation monitoring. This article concentrates on an IoT-based platform for rehabilitation monitoring and biosignal identification. The IoT-characteristics for the application in the area of medical technology are discussed and the integration of such IoT-modules in the given architecture is introduced. Based on this extended architecture, new applications in the field of biosignal measurement, signal processing and biosignal monitoring are presented. Some results of a rehabilitation monitoring system, based on a self-designed IoT-module, integrated in the whole platform, are shown.


Author(s):  
Bernd Page ◽  
Claus Rautenstrauch

The protection of our environment remains one of the greatest challenges in industrialized societies. This challenge is addressing politics, economy as well as technology and research. It is clear that the various problems in environmental protection, environmental planning, research and engineering can be only solved on the ground of a comprehensive and reliable information basis. State and dynamics of the environment are described by biological, physical, chemical, geological, meteorological, and social-economic data. This data is time and space dependent and addresses past or current states. The processing of this data and the production of information on the environment, on its stress factors, and on mutual influence mechanisms are fundamental for any kind of environmental planning and preventive measures. Therefore, environmental problem solving is mainly an information processing activity handling a wide range of environmental data. Solutions to our environmental problems are strongly dependent on the quality of accessible information sources. Certainly, information is a very critical factor in making decisive political actions and in changing people’s attitudes on the environment. This information on environmental aspects is just as important as basis for decisions on actions in environmental protection as for gaining knowledge in environmental research.


2021 ◽  
Vol 2021 ◽  
pp. 1-25
Author(s):  
John Nicot ◽  
Ludivine Fadel ◽  
Thierry Taris

The widespread deployment of the Internet of Things (IoT) requires the development of new embedded systems, which will provide a diverse array of different intelligent functionalities. However, these devices must also meet environmental, maintenance, and longevity constraints, while maintaining extremely low-power consumption. In this work, a batteryless, low-power consumption, compact embedded system for IoT applications is presented. This system is capable of using a combination of hybrid solar and radiofrequency power sources and operates in the 900 MHz ISM band. It is capable of receiving OOK or ASK modulated data and measuring environmental data and can transmit information back to the requester using GFSK modulated data. The total consumption of the system during its sleep state is 920 nW. Minimum power required to operate is −15.1 dBm or 70 lux, when using only radiofrequency or solar powering, respectively. The system is fully designed with components off the shelf (COTS).


2017 ◽  
Vol 2 (5) ◽  
pp. 355
Author(s):  
Chanon Tunprawat ◽  
Yanin Rugwongwan ◽  
Wichitra Singhirunnusorn

This study focuses on reducing environmental impact by design and aim to inform the environmental information through product design to support user behavioural change. The objects are to analyse user attribute factors that affect to perception distinction of environmental information, consider environmental data contents and information designs that Influence to user behaviour and evaluating design principles. This research is an empirical research in the methodology used mixed methods. The results will expand the knowledge and theory of sustainable product design to emphasise on user behaviour change theory and the guidelines for daily life product designKeywords: Product Design, Environmental Perception, Behavioral Change, SustainabilityISSN: 2398-4287© 2017. The Authors. Published for AMER ABRA by e-International Publishing House, Ltd., UK. This is an open access article under the CC BYNC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Peer–review under responsibility of AMER (Association of Malaysian Environment-Behaviour Researchers), ABRA (Association of Behavioural Researchers on Asians) and cE-Bs (Centre for Environment-Behaviour Studies), Faculty of Architecture, Planning & Surveying, Universiti Teknologi MARA, Malaysia.


Electronics ◽  
2020 ◽  
Vol 9 (4) ◽  
pp. 544
Author(s):  
Kristian Diaz ◽  
Ying-Khai Teh

An embedded system composed of commercial off the shelf (COTS) peripherals and microcontroller. The system will collect environmental data for Salton Sea, Imperial Valley, California in order to understand the development of environmental and health hazards. Power analysis of each system features (i.e. Central Processing Unit (CPU) core, Input/Output (I/O) buses, and peripheral (temperature, humidity, and optical dust sensor) are studied. Software-based power optimization utilizes the power information with hardware-assisted power gating to control system features. The control of these features extends system uptime in a field deployed finite energy scenario. The proposed power optimization algorithm can collect more data by increasing system up time when compared to a Low Power Energy Aware Processing (LEAP) approach. Lastly, the 128 bit Advanced Encryption Standard (AES) algorithm is applied on the collected data using various parameters. A hidden peripheral requirement that must be considered during design are also noted to impact the efficacy of this method.


2014 ◽  
Vol 313 ◽  
pp. 307-318 ◽  
Author(s):  
E. Lessard ◽  
R.A. Fournier ◽  
J.E. Luther ◽  
M.J. Mazerolle ◽  
O.R. van Lier

Author(s):  
J. Chudá ◽  
M. Hunčaga ◽  
J. Tuček ◽  
M. Mokroš

Abstract. Nowadays it is important to shift positional accuracy of object measurements under the forest canopy closer to the accuracy standards for land surveys due to the requirements in the field of ecosystem protection, sustainable forest management, property relations, and land register. Simultaneously, it is desirable to use the technology of environmental data acquisition which is not time consuming and cost demanding. Global Navigation Satellite Systems (GNSS) are the most used for positioning today. However, the usefulness and also the accuracy of the measurements with this technology depend on various factors (the strength of the GNSS signal, the geometric position of satellites, the multipath effect etc.). Based on the above mentioned facts, the usability of technology independent of GNSS indicates an ideal solution for positioning under the forest canopy. Several studies have studied the usability of Handheld Mobile Laser Scanners (HMLS) in complex environment. The goal of this paper was to verify a new data collection approach (HMLS with Simultaneous Localization and Mapping (SLAM) technology) for the forest environment practice. The main objective of our study was to reach a precision which complies with the accuracy standards for land surveys. The RMSE of derived positions from point cloud, produced by SLAM devices were 25.3 cm and 28.4 cm, for ZEB REVO and ZEB HORIZON, the handheld mobile laser SLAM scanners used in this study. ZEB HORIZON achieved twice as big accuracy of diameter of breast height (DBH) estimation as ZEB REVO.


2011 ◽  
Vol 162 (9) ◽  
pp. 274-281
Author(s):  
Peter Brassel

Switzerland's National Forest Inventory – review and outlook (essay) The idea of carrying out a national forest inventory in Switzerland was first raised in the 1950s. It had become increasingly evident that such an inventory was lacking as a basis for evaluating the state of the forest in the whole country. But it was not until 1970 that this idea took concrete shape. And it took another ten years for the Swiss government to agree to the first inventory taking place. From the start, the National Forest Inventory (NFI) was a joint project of the Swiss federal administration and the Swiss Federal Research Institute WSL. It has now established itself as an objective source of information about the Swiss forest. On the national level, it is today the most important instrument for monitoring the sustainability of the management of Swiss forests, and it yields the main data needed for international reports on forests. The success of the NFI is at least partly due to the fact that it has met with widespread support from both the Swiss authorities and scientists. The NFI has, over the past 30 years, continuously developed both methodologically and in terms of content. Thus the first NFI's data catalogue was expanded to include, for example, numerous ecological parameters. Currently the fourth NFI is underway. It will mark the transition from a periodic to a continuous inventory. In the future, the survey results will be published roughly every three years. Reducing the intervals between inventories will, however, be associated with higher estimation errors. On the other hand, interesting new applications can be expected in remote sensing, as well as improved models of future forest development. Some new methods seem promising, like the so-called “small area estimation”, which enables conclusions to be drawn about relatively small areas. However, if the NFI is to continue to perform its tasks adequately in future, it must receive sufficient funding.


2021 ◽  
Vol 13 (24) ◽  
pp. 14062
Author(s):  
Jinjing Ren ◽  
Runfa Li ◽  
Fengshuo Jia ◽  
Xinhao Yang ◽  
Yusheng Luo ◽  
...  

With the development of urbanization, the environment is the key to the safety of residents’ life and health and the United Nations’ Sustainable Development Goals (SDGs). Urban environmental changes and microclimate problems have attracted widespread attention. For the SDGs, monitoring the urban microclimate more accurately and effectively and ensuring residents’ environmental health and safety is particularly important when designing applications that can replace the traditional fixed-point urban environment or pollution monitoring. Based on the BeiDou Navigation Satellite System platform, this paper proposes a fine-granularity urban microclimate monitoring method using wearable multi-source (PM2.5, PM10, and other air pollutants) sensors innovatively, which includes the satellite position function by adopting the satellite pseudo-range differential positioning technology, environmental data perception through the embedded system and wireless transmission, as well as the GIS data processing and analysis system. The wearable sensor acquires position and service information data through the satellite positioning system and acquires environmental parameters through integrated mobile multi-source sensors. The data are cached and wirelessly transmitted to the cloud server for digital processing. The urban microclimate is evaluated and visualized through algorithm and map API. Mobile monitoring can be flexibly applied to complex and diverse urban spaces, effectively realizing all-weather, all-directional, and accurate microclimate monitoring of urban environmental quality.


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