Prevention and control of motor vehicle exhaust pollution based on internet of things system and cloud computing

2020 ◽  
pp. 103373
Author(s):  
Yanjie Zhang ◽  
Lie Yang ◽  
Hui Tong ◽  
Zongyan Lv ◽  
Hongjun Mao ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Internet Of Things ◽  
Prevention And Control ◽  
Motor Vehicle ◽  
Vehicle Exhaust ◽  
And Control

scholarly journals Device-Based Security to Improve User Privacy in the Internet of Things †

Sensors ◽  
2018 ◽  
Vol 18 (8) ◽  
pp. 2664 ◽  
Author(s):  
Luis Belem Pacheco ◽  
Eduardo Pelinson Alchieri ◽  
Priscila Mendez Barreto
Keyword(s):  
Cloud Computing ◽  
Internet Of Things ◽  
Single Point ◽  
Data Access ◽  
Cloud Services ◽  
Sensitive Information ◽  
User Privacy ◽  
Privacy And Security ◽  
Iot Devices ◽  
And Control

The use of Internet of Things (IoT) is rapidly growing and a huge amount of data is being generated by IoT devices. Cloud computing is a natural candidate to handle this data since it has enough power and capacity to process, store and control data access. Moreover, this approach brings several benefits to the IoT, such as the aggregation of all IoT data in a common place and the use of cloud services to consume this data and provide useful applications. However, enforcing user privacy when sending sensitive information to the cloud is a challenge. This work presents and evaluates an architecture to provide privacy in the integration of IoT and cloud computing. The proposed architecture, called PROTeCt—Privacy aRquitecture for integratiOn of internet of Things and Cloud computing, improves user privacy by implementing privacy enforcement at the IoT devices instead of at the gateway, as is usually done. Consequently, the proposed approach improves both system security and fault tolerance, since it removes the single point of failure (gateway). The proposed architecture is evaluated through an analytical analysis and simulations with severely constrained devices, where delay and energy consumption are evaluated and compared to other architectures. The obtained results show the practical feasibility of the proposed solutions and demonstrate that the overheads introduced in the IoT devices are worthwhile considering the increased level of privacy and security.

scholarly journals A remote management system for control and surveillance of echinococcosis: design and implementation based on internet of things

2021 ◽  
Vol 10 (1) ◽  
Author(s):  
Shi-Jie Yang ◽  
Ning Xiao ◽  
Jing-Zhong Li ◽  
Yu Feng ◽  
Jun-Ying Ma ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Real Time ◽  
Management System ◽  
Prevention And Control ◽  
Monitoring Data ◽  
Health Concern ◽  
Tibet Plateau ◽  
Central Research ◽  
Remote Management ◽  
And Control

Abstract Background As a neglected cross-species parasitic disease transmitted between canines and livestock, echinococcosis remains a global public health concern with a heavy disease burden. In China, especially in the epidemic pastoral communities on the Qinghai-Tibet Plateau, the harsh climate, low socio-economic status, poor overall hygiene, and remote and insufficient access to all owned dogs exacerbate the difficulty in implementing the ambitious control programme for echinococcosis. We aimed to design and implement a remote management system (RMS) based on internet of things (IoT) for control and surveillance of echinococcosis by combining deworming devices to realise long-distance smart deworming control, smooth statistical analysis and result display. New methods and tools are urgently needed to increase the deworming coverage and frequency, promote real-time scientific surveillance, and prevent transmission of echinococcosis in remoted transmission areas. Methods From 2016 to 2019, we had cooperated and developed the smart collar and smart feeder with the Central Research Institute of Shanghai Electric Group Co., Ltd. (Shanghai, China) and Shenzhen Jizhi Future Technology Co., Ltd. (Shenzhen, China). From September 2019 to March 2020, We had proposed the RMS based on IoT as a novel tool to control smart deworming devices to deliver efficient praziquantel (PZQ) baits to dogs regularly and automatically and also as a smart digital management platform to monitor, analyse, and display the epidemic trends of echinococcosis dynamically, in real time in Hezuo City, Gannan Tibetan Autonomous Prefecture, Gansu Province, China. Starting from January 2018, The RMS has been maintained and upgraded by Shanghai Yier Information Technology Co., Ltd (Shanghai, China). The database was based on MySQL tools and the Chi-square test was used to probe the difference and changes of variables in different groups. Results The smart collars are fully capable of anti-collision, waterproof, and cold-proof performance, and the battery’s energy is sufficient, the anti-collision rate, water-proof rate, cold-proof rate and voltage normal rate is 99.6% (521/523), 100.0% (523/523), 100.0% (523/523) and 100.0% (523/523), respectively. The RMS can accurately analyse the monitoring data and parameters including positive rates of canine faeces, and the prevalence of echinococcosis in the general population livestock, and children. The data of dogs deworming and surveillance for echinococcosis is able to be controlled using RMS and has expanded gradually in townships to the whole Hezuo region. The automatic delivering PZQ rate, collar positioning rate, deliver PZQ reminding rate, and fault report rate is 91.1% (1914/2102), 92.1% (13 580/14 745), 92.1% (1936/2102) and 84.7% (1287/1519), respectively. After using the RMS from 2019, the missing rate of monitoring data decreased from 32.1% (9/28) to 0 (0/16). A total of 48 administrators (3, 3, 8, 11, 23 at the provincial, municipal, county, township, village levels, respectively) participated in the questionnaire survey, with 93.8% of its overall satisfaction rate. Conclusions The existing difficulties and challenges in the way of prevention and control for echinococcosis can partially be resolved using the innovative, IoT-based technologies and tools. The proposed RMS advance the upgrade of existing manual prevention and control models for echinococcosis, especially in the current ongoing COVID-19 pandemic, as social distance and community blockade continue. Graphic abstract

scholarly journals Monitoring dan Kontrol Gas CO Dalam Ruangan Berbasis Pemrograman LabVIEW dan Mikrokontroler

2021 ◽  
pp. 9-16
Author(s):  
Andrizal Andrizal ◽  
Yul Antonisfia
Keyword(s):  
Indoor Air ◽  
Industrial Pollution ◽  
Motor Vehicle ◽  
Vehicle Exhaust ◽  
Air Purifier ◽  
Output System ◽  
Vehicle Pollution ◽  
And Control ◽  
Research Stage ◽  
Co Gas

Carbon dioxide is gas produced by industrial pollution and motor vehicle exhaust emissions. The air is declared clean and healthy for human activities if the CO level does not exceed 15 ppm. Industrial pollution or motor vehicle pollution does not only pollute the outdoor air, but it is very likely to pollute the indoor air. For this reason, a system that is able to monitor and control CO levels in the room has been designed so that it is safe for users while doing this activities. The research stage is carried out by making a series of sensors to detect CO gas and then the sensor circuit is connected to the Arduino UNO microcontroller as an interface with a PC. The program used is LabVIEW programming as a neural programming for displaying Virtual Instruments as display media. The output system is an air purifier system that cleans the indoor air when the CO level is more than 15 ppm. Based on the results of trials and analyzes, the response of the sensor system is able to detect changes in CO gas within 7 seconds. The average monitoring of CO levels result when observed 30 times was 11.47 ppm. The air purifier response time is able to restore indoor CO levels to the maximum threshold of 15 ppm in the fastest time of 3 minutes and 22 seconds.

scholarly journals Energy Efficiency Metrics of University Data Centers

2018 ◽  
Vol 1 (2) ◽  
pp. 64
Author(s):  
Lenonel Hernandez ◽  
Genett Jimenez ◽  
Piedad Marchena
Keyword(s):  
Energy Efficiency ◽  
Cloud Computing ◽  
Internet Of Things ◽  
Large Volume ◽  
Data Center ◽  
Data Centers ◽  
Monitoring And Control ◽  
And Control ◽  
The Impact ◽  
Computing Infrastructure

The data centers are fundamental pieces in the network and computing infrastructure, and evidently today more than ever they are relevant. Since they support the processing, analysis, assurance of the data generated in the network and by the applications in the cloud, which every day increases its volume thanks to technologies such as Internet of Things, Virtualization, and cloud computing, among others. Precisely the management of this large volume of information makes the data centers consume a lot of energy, generating great concern to owners and administrators. Green Data Centers offer a solution to this problem, reducing the impact produced by the data centers in the environment, through the monitoring and control of these. The metrics are the tools that allow us to measure in our case the energy efficiency of the data center and evaluate if it is friendly to the environment. These metrics will be applied to the data centers of the ITSA University Institution, Barranquilla and Soledad campus, and the analysis of these will be carried out. In previous research, the most common metric (PUE) was analyzed to measure the efficiency of the data centers, to verify if the University's data center is friendly to the environment. It is planned to extend this study by carrying out an analysis of several metrics to conclude which is the most efficient and which allows defining the guidelines to update or convert the data center in a friendly environment. 

scholarly journals Mapping the Role of Digital Health Technologies in Prevention and Control of COVID-19 Pandemic: Review of the Literature

2021 ◽  
Vol 30 (01) ◽  
pp. 026-037
Author(s):  
Binyam Tilahun ◽  
Kassahun Dessie Gashu ◽  
Zeleke Abebaw Mekonnen ◽  
Berhanu Fikadie Endehabtu ◽  
Dessie Abebaw Angaw
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Internet Of Things ◽  
Prevention And Control ◽  
Digital Health ◽  
The Internet ◽  
Health Technologies ◽  
And Control ◽  
The Internet Of Things

Summary Background: Coronavirus Disease (COVID-19) is currently spreading exponentially around the globe. Various digital health technologies are currently being used as weapons in the fight against the pandemic in different ways by countries. The main objective of this review is to explore the role of digital health technologies in the fight against the COVID-19 pandemic and address the gaps in the use of these technologies for tackling the pandemic. Methods: We conducted a scoping review guided by the Joanna Briggs Institute guidelines. The articles were searched using electronic databases including MEDLINE (PubMed), Cochrane Library, and Hinari. In addition, Google and Google scholar were searched. Studies that focused on the application of digital health technologies on COVID-19 prevention and control were included in the review. We characterized the distribution of technological applications based on geographical locations, approaches to apply digital health technologies and main findings. The study findings from the existing literature were presented using thematic content analysis. Results: A total of 2,601 potentially relevant studies were generated from the initial search and 22 studies were included in the final review. The review found that telemedicine was used most frequently, followed by electronic health records and other digital technologies such as artificial intelligence, big data, and the internet of things (IoT). Digital health technologies were used in multiple ways in response to the COVID-19 pandemic, including screening and management of patients, methods to minimize exposure, modelling of disease spread, and supporting overworked providers. Conclusion: Digital health technologies like telehealth, mHealth, electronic medical records, artificial intelligence, the internet of things, and big data/internet were used in different ways for the prevention and control of the COVID-19 pandemic in different settings using multiple approaches. For more effective deployment of digital health tools in times of pandemics, development of a guiding policy and standard on the development, deployment, and use of digital health tools in response to a pandemic is recommended.

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