scholarly journals Physical Wellbeing Monitoring Employing Non-Invasive Low-Cost and Low-Energy Sensor Socks

Sensors ◽  
2018 ◽  
Vol 18 (9) ◽  
pp. 2822 ◽  
Author(s):  
Laura García ◽  
Lorena Parra ◽  
Jose Jimenez ◽  
Jaime Lloret

Determining and improving the wellbeing of people is one of the priorities of the OECD countries. Nowadays many sensors allow monitoring different parameters in regard to the wellbeing of people. These sensors can be deployed in smartphones, clothes or accessories like watches. Many studies have been performed on wearable devices that monitor certain aspects of the health of people, especially for specific diseases. In this paper, we propose a non-invasive low-cost and low-energy physical wellbeing monitoring system that provides a wellness score based on the obtained data. We present the architecture of the system and the disposition of the sensors on the sock. The algorithm of the system is presented as well. The wellness threshold evaluation module allows determining if the monitored parameter is within healthy ranges. The message forwarding module allows decreasing the energy consumption of the system by detecting the presence of alerts or changes in the data. Finally, a simulation was performed in order to determine the energy consumption of the system. Results show that our algorithm allows saving 44.9% of the initial energy in 10,000 min for healthy people.

2014 ◽  
Vol 51 (4) ◽  
pp. 971-993 ◽  
Author(s):  
Xavier Silvani ◽  
Frédéric Morandini ◽  
Eric Innocenti ◽  
Sylvestre Peres

2018 ◽  
Vol 2 (3) ◽  
pp. 112
Author(s):  
Amal Ahmed Abdou ◽  
Iman Osama Abd El Gwad ◽  
Ayman Alsayed Altaher Mahmoud

Egyptian universities had the most powerful buildings that encourage sustainable development. Sustaining university buildings had been the main concern, thus the development focused on different aspects (social, sociological, bio-life, physical, healthy surroundings, etc.). In recent times, the main problem facing university buildings has been the high consumption of energy despite the low performance. This problem affected the interior areas and spaces used by the majority of students. The issue hindered the learning environment—which should be designed to facilitate high academic performance—from achieving its purpose. Fixing the problem required finding the errors applied in the planning policy, in order to integrate low energy consumption with high performance. This paper analyzes the design strategy, low energy design strategy, and its analysis systems in order to integrate them with the analysis of four case studies in comparative methodology. This approach helps in achieving effective observation to implement principles, policy, criteria, and strategies. The method of the paper shall help with coming up with an efficient vision to create the integrated design strategy for constructing university buildings in Egypt. The solution is characterized by low-cost energy consumption that is applicable to the conditions in Egypt and is in synchronization with sustainability as a whole vision.


2018 ◽  
Vol 5 (2) ◽  
pp. 85-91
Author(s):  
Mario Marcello

The malware spreads massively in Indonesia. The security in Information Technology doesn’t seem to become a top priority for Indonesian. The use of pirated software is still high, although it is the biggest threat and entrance for the malwares to attacks. This paper shows how to collect a spreading malware in a system to know the malware trends that exist. So, the owner may know the malware trends inside his system and he can countermeasure the attacks. To collect the malwares, I use the Dionaea, the honeypot to collect malware and implement it to Raspberry Pi. Raspberry Pi is a small, low cost and low energy consumption computer. By using Raspberry Pi to collect malware, we can minimize budget, save the energy and space.


2013 ◽  
Vol 683 ◽  
pp. 585-588
Author(s):  
Xiao Feng Yang ◽  
Yong Kang ◽  
Xiao Chuan Wang ◽  
Deng Li ◽  
Zhen Fang Liao

The sludge in rivers, dams and municipal facilities have caused increasing attentions. The airlift water jet can make density difference between sludge and the environment, and make the sludge float automatically. A kind of airlift water jet dredging system is designed and its work properties are analyzed. Mechanical structure analysis shows that the airlift water jet dredging device is low energy consumption and easy of maintenance with low cost. Numerical Simulation shows that the bubble volume ratio will affect the flow performance: the bigger bubble volume ratio will generate higher transport capacity.


2016 ◽  
Vol 88 ◽  
pp. 807-813 ◽  
Author(s):  
Hongting Ma ◽  
Weiye Zhou ◽  
Xinyu Lu ◽  
Zequn Ding ◽  
Yang Cao

Author(s):  
Yanbo Li ◽  
Shuhe Han ◽  
Liping Zhang ◽  
Yifu Yu

AbstractWith the development of industrialization, the emission of volatile organic compounds (VOCs) to atmosphere causes serious environmental problems and the treatment of VOCs needs to consume a lot of energy. Moreover, indoor VOCs are seriously harmful to human health. Thus, there is an urgent requirement for the development of indoor VOCs treatment technologies. Catalytic degradation of VOCs, as a low energy consumption, high efficiency, and easy to achieve manner, has been widely studied in related fields. As a kind of transition metal catalyst, manganese-based catalysts have attracted a lot of attention in the catalytic degradation of VOCs because of their unique advantages including high efficiency, low cost, and excellent stability. This paper reviews the state-of-the-art progress of manganese-based catalysts for VOCs catalytic degradation. We introduce the thermocatalytic, photocatalytic and photo-thermocatalytic degradation of VOCs on manganese-based catalysts in this paper. The optimization of manganese-based catalysts by means of structural design, decorating modification and defect engineering is discussed. Graphical Abstract


Sensors ◽  
2019 ◽  
Vol 19 (22) ◽  
pp. 4997 ◽  
Author(s):  
Bingqing Luo ◽  
Jincheng Gao ◽  
Zhixin Sun

Given that current Internet of Things (IoT) applications employ many different sensors to provide information, a large number of the Bluetooth low energy (BLE) devices will be developed for IoT systems. Developing low-power and low-cost BLE advertisers is one of most challenging tasks for supporting the neighbor discovery process (NDP) of such a large number of BLE devices. Since the parameter setting is essential to achieve the required performance for the NDP, an energy model of neighbor discovery in BLE networks can provide beneficial guidance when determining some significant parameter metrics, such as the advertising interval, scan interval, and scan window. In this paper, we propose a new analytical model to characterize the energy consumption using all possible parameter settings during the NDP in BLE networks. In this model, the energy consumption is derived based on the Chinese remainder theorem (CRT) for an advertising event and a scanning event during the BLE NDP. In addition, a real testbed is set up to measure the energy consumption. The measurement and experimental results reveal the relationship between the average energy consumption and the key parameters. On the basis of this model, beneficial guidelines for BLE network configuration are presented to help choose the proper parameters to optimize the power consumption for a given IoT application.


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