scholarly journals Personal data acquisition IOT gateway

2018 ◽  
Vol 11 (1) ◽  
pp. 44-47 ◽  
Author(s):  
Daniel Vamos ◽  
Stefan Oniga ◽  
Anca Alexan

Abstract Personal activity tracker are nowadays part of our lives. They silently monitor our movements and can provide valuable information and even important alerts. But usually the user’s data is stored only on the activity tracker device and the processing done is limited by this modest processing power device. Thus it is very important that the user’s data can be stored and processed in the cloud, making the activity tracker an IOT node. This paper proposes a simple IOT gateway solution for a custom user monitoring device.

2021 ◽  
Author(s):  
◽  
Henrietta Hitchings

<p>Digital self-tracking generates ever increasing amounts of personal data on anything from mood and relationships to health and finance. This thesis aims to explore the relationship between the consumer and their personal data, it seeks to discover how self-tracking changes the user’s experience and understanding of the world and themselves. The background research firstly discusses the usefulness and availability of self-tracking data to the consumer in comparison to other stakeholders. Secondly, it explores the services and cultural systems that guide how self-tracking might be used as a tool for self-expression. Thirdly, it outlines the ways that quantification can change how an experience is perceived and the meaning that people find in analysing their data.Finally, it discusses the impact of potential surveillance on consumers. Interviews and analysis concluded that activity trackers help users make day to day decisions, that personal data is both meaningful and useful to the user and can act as a way to express or represent their experiences and that the act of using an activity tracker also changes and often enhances the experiences of the user. These ideas were then explored in a series of design works that both critiqued self-tracking and used it as a creative medium.</p>


2011 ◽  
Vol 403-408 ◽  
pp. 948-953
Author(s):  
Amer Atta Yaseen

The trend in industrial control has been to reduce the communications wiring across a plant. Eliminating the cabled connection between a sensors and a host computer enhances the performances and the manageability of a data acquisition system. Through the use of Bluetooth technology the data acquisition components can be paired with a wide variety of pre-existing devices. This makes the host computer portable, cheaper and versatile. Data is collected from the sensors by a microcontroller with an attached Bluetooth module, which transmits the data to a host computer for processing. Costs are reduced by making use of pre-existing processing power and display on the host computer. Depending on the application the data can be processed in any way required on the host computer. This paper describes the practical design of Bluetooth based 12- Channel temperatures acquisition system which contains remote temperature sensors connected to a microcontroller which controls also the Bluetooth module transmission, and a computer connected to a Bluetooth adapter. In this way, the sensors data are collected and processed by the microcontroller, transmitted via Bluetooth to a host computer which monitoring and recording the temperatures measurements.


2014 ◽  
Vol 978 ◽  
pp. 72-77
Author(s):  
Hai Chao Guo

An overvoltage online monitoring and data analysis device based on optical fiber voltage sensor is designed. The device adopts BGO crystal as sensing head, optical fiber as transmission medium. Four A/D converters with sampling rate of 20 MHz are equipped in Data acquisition unit to achieve four-channel concurrent high-speed data acquisition. Virtual instrument LabVIEW is used to complete data analysis and processing. Compared with other voltage monitoring device, it has good anti-interference performance and fast transient response. Physical simulation experiments prove that the system can meet the requirements of overvoltage monitoring. Its application provides accurate data for power system fault analysis and insulation coordination design.


2021 ◽  
Vol 28 (2) ◽  
pp. 90-106
Author(s):  
Ricardo Kerschbaumer ◽  
André Augusto Kaviatkovski ◽  
Gabriel Rodrigues Garcia ◽  
Carlos Raimundo Erig Lima ◽  
Jean Marcelo Simão

The parallelism allowed by FPGAs has attracted attention for knowing applications that need processing power. However, the need for specific and very technical development language has not stimulate its broad use. As an alternative, there are High-level Synthesis Languages (HSL), which allow less complicated FPGA use. However, they do not tend to take full advantage of the FPGA technology. Therefore, another alternative was developed, based on the Notification Oriented Paradigm (NOP), called NOP for Digital Hardware (NOP-DH). NOP allows development in high level with its rule-oriented language called NOPL. Its entity decoupling, parallelism, and redundancy avoidance are useful for best performance. In turn, the NOP-DH brings NOP for the FPGA context with the benefits observed in software but enhanced by hardware nature. This paper reviews the NOPL for NOP-DH (NOPL-DH) that aims high level programming for FPGA. The paper proposes the NOPL-DH test by independent developers, by developing a monitoring device for a box transporting bidirectional conveyer. As a result, NOPL-DH allowed high-level development under the NOP-DH structure in an FPGA, without the need for technical knowledge and, still, maintaining and exploring the NOP properties in FPGA


Sensors ◽  
2021 ◽  
Vol 21 (21) ◽  
pp. 7190
Author(s):  
Philip Matesanz ◽  
Timo Graen ◽  
Andrea Fiege ◽  
Michael Nolting ◽  
Wolfgang Nejdl

Automakers manage vast fleets of connected vehicles and face an ever-increasing demand for their sensor readings. This demand originates from many stakeholders, each potentially requiring different sensors from different vehicles. Currently, this demand remains largely unfulfilled due to a lack of systems that can handle such diverse demands efficiently. Vehicles are usually passive participants in data acquisition, each continuously reading and transmitting the same static set of sensors. However, in a multi-tenant setup with diverse data demands, each vehicle potentially needs to provide different data instead. We present a system that performs such vehicle-specific minimization of data acquisition by mapping individual data demands to individual vehicles. We collect personal data only after prior consent and fulfill the requirements of the GDPR. Non-personal data can be collected by directly addressing individual vehicles. The system consists of a software component natively integrated with a major automaker’s vehicle platform and a cloud platform brokering access to acquired data. Sensor readings are either provided via near real-time streaming or as recorded trip files that provide specific consistency guarantees. A performance evaluation with over 200,000 simulated vehicles has shown that our system can increase server capacity on-demand and process streaming data within 269 ms on average during peak load. The resulting architecture can be used by other automakers or operators of large sensor networks. Native vehicle integration is not mandatory; the architecture can also be used with retrofitted hardware such as OBD readers.


2021 ◽  
Author(s):  
◽  
Henrietta Hitchings

<p>Digital self-tracking generates ever increasing amounts of personal data on anything from mood and relationships to health and finance. This thesis aims to explore the relationship between the consumer and their personal data, it seeks to discover how self-tracking changes the user’s experience and understanding of the world and themselves. The background research firstly discusses the usefulness and availability of self-tracking data to the consumer in comparison to other stakeholders. Secondly, it explores the services and cultural systems that guide how self-tracking might be used as a tool for self-expression. Thirdly, it outlines the ways that quantification can change how an experience is perceived and the meaning that people find in analysing their data.Finally, it discusses the impact of potential surveillance on consumers. Interviews and analysis concluded that activity trackers help users make day to day decisions, that personal data is both meaningful and useful to the user and can act as a way to express or represent their experiences and that the act of using an activity tracker also changes and often enhances the experiences of the user. These ideas were then explored in a series of design works that both critiqued self-tracking and used it as a creative medium.</p>


Author(s):  
Dr. A. Reni

Abstract: Milk is a nutrient-rich liquid food and it is the primary source of nutrition and a cheap source of protein for large vegetarian population living in India. Dairy industry in India is the world's largest milk producer and dominates about 13% of world milk production. Milk contains several groups of nutrients & considerable amount of organic substances and functional elements such as traces of vitamins, enzymes & dissolved gases, dissolved salts, calcium, water, carbohydrates, proteins, fats, complex & simple lipids, minerals, vitamins , etc.,. Milk transportation has shown to contribute to a greater extent to milk spoilage. Most of the milk which has been rejected by milk processing plants had samples which indicate milk of good quality at farm level before transportation. Milk processors request that milk must be cooled to 2°C to 4°C within 2 to 3 h of milking. The monitoring system that we have implied here is to check the temperature throughout the transportation using micro-controller and to ensure the quality of the milk. This monitoring device consist of NTC Temperature sensor to indicate the exposure to excessive temperature and controlled temperature like cold storage and a gas sensor is used to detect the spoilage of milk while transportation. The RFID tags are used to record the information of the vendor, temperature and how much litre they are giving to the society and hereby, the complete record of this is maintained separately by data acquisition system with the open source software cayenne. In this monitoring device, the temperature of the milk is continuously monitored using microcontroller and an immediate alert message is given to the driver and admin when there is raise in temperature. Keywords: Milk, cayenne, data acquisition, RFID, NTC


2021 ◽  
Vol 343 ◽  
pp. 08007
Author(s):  
Arun Fabian Panaite ◽  
Monica Leba ◽  
Marius Leonard Olar ◽  
Remus Constantin Sibisanu ◽  
Lilla Pellegrini

By using the most rudimentary microcontroller chips, that receive data from sensors, and transmit the data to a computer system, thorough a virtual serial port, motion of many objects, bodies and joints can be captured. Capturing the motion and reproducing it live is not the only destination for the data usage. Recording and studying the motion data, can reduce a lot of work in a wide range of domains. Using the simplest methods to capture the data, also means making it so widely accessible for learning, editing and also developing systems that use very little processing power, granting data access for the less efficient computers. We propose using the MPU-6050 MEMS sensor in a dual instance, and the Arduino UNO microcontroller, connected to a computer for data acquisition, to capture the motion of a human arm, and reproduce it in a projected environment. Other experiments, conducted by other researchers and developers have used a higher number of sensors, and the data acquisition and recording systems were much more complex, but our research reduced the number of sensors to just two. One of the high impact innovations brought by this system, in particular, is that we’ve virtually hooked the end of one sensor to the tip of the other, creating a virtual motion chain.


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