Article | 03-September-2013
The resolution of ADCs (Analog-to-Digital Converters) can be improved by dithering, i.e. by intentionally injecting white noise into the analog signal. This work describes the theory behind dithering, how to optimize the magnitude of the noise and also a design that illustrates how dithering can be implemented to increase the resolution of a microcontroller’s ADC. In order to demonstrate the potential of the design, the resolution of the 10-bit ADC of a PIC18F458 microcontroller is increased to
L. E. Bengtsson
International Journal on Smart Sensing and Intelligent Systems, Volume 6 , ISSUE 4, 1366–1382
Research Article | 13-December-2017
A low power MEMS based sensor along with the embedded power efficient signal conditioning unit (Microcontroller based), which can be used with any suitable sensor-network to detect and quantify variations in a particular gas concentration, has been reported in this paper. The power consumption of the MEMS gas sensor is ~ 70mW to 100mW depending upon its operating temperature (150-250°C) and that of entire signal conditioning unit (consisting of low noise amplifier, switch, microcontroller and
P. Bhattacharyya,
D. Verma,
D. Banerjee
International Journal on Smart Sensing and Intelligent Systems, Volume 3 , ISSUE 4, 771–782
Article | 03-November-2017
working days). The device is based on Atmel’s 8-bit AVR microcontroller, ATMEGA 128, placed on an AVR-MT-128 development board. The software used by the ATMEGA microcontroller was developed using the C language in the AVRStudio development environment. On the basis of the collected results, the Con-Dis - device functioned reliably in monitoring the perceived wellbeing and mood of the test persons.
Jori Reijula,
Toni Rosendahl,
Kari Reijula,
Matti Linnavuo,
Raimo Sepponen
International Journal on Smart Sensing and Intelligent Systems, Volume 2 , ISSUE 2, 279–292
Research Article | 15-February-2020
A direct resistive sensor interface to a microcontroller reported earlier, works well only if the sensor element is very close to the micro-controller pins. If the sensor element is at a distance from the micro-controller then the lead resistance due to connecting wires between resistive sensor element and the micro-controller introduces appreciable errors in the output. A modified scheme of direct sensor interface to micro-controller is presented here. In the proposed scheme, the effect of
Ponnalagu R. N.,
Boby George,
Jagadeesh Kumar V
International Journal on Smart Sensing and Intelligent Systems, Volume 7 , ISSUE 5, 1–5
Research Article | 13-December-2017
leak rate and location analysis by a microcontroller device.
Dilip Kumar Ghara,
Debdulal Saha,
Kamalendu Sengupta
International Journal on Smart Sensing and Intelligent Systems, Volume 1 , ISSUE 3, 784–798
Research Article | 01-September-2017
The Vehicle Tracking System has the capability of finding the Vehicle location, Gas Leakages, Vehicle Speed, and Vehicle Accident and at the same time notifies the owners of the vehicle through a GSM network with an SMS alert message. The drivers require their presence to their family or to their respective one’s. The main aim is to design a low cost and an efficient vehicle tracking and vehicle security circuit based on an Arduino microcontroller. This system can be made as a backup sector
Dhanalakshmi,
A.Ezil Sam Leni
International Journal on Smart Sensing and Intelligent Systems, Volume 10 , ISSUE 5, 123–135
Article | 01-September-2014
We present the work on development of Smart Detachable Wireless Sensing System for environment monitoring (SDWSS) complying with the IEEE 1451 standard. Barometric and alcohol two different detachable smart sensor have been developed by incorporating generic transducer, customized peripheral interface controller (PIC) 18LF2550 microcontroller and with other peripherals. Detachable smart transducer interface module (DSTIM) implemented using centralized PIC 18F4550 microcontroller based embedded
D. Bhattacharjee,
R. Bera
International Journal on Smart Sensing and Intelligent Systems, Volume 7 , ISSUE 3, 1239–1253
Research paper | 01-September-2011
The paper presents the steps involved in implementing a customizable wireless sensor node for the detection of gaseous substances leakage in both internal and external environments. The node consists of various modules namely, sensors, signal conditioning, computational unit, wireless communication and power supply. The measurand to be measured are carbon dioxide, oxygen, relative humidity and temperature. A computational analysis is performed using a nano-watt PIC18LF4620 microcontroller and
S. Edward Jero,
A. Balaji Ganesh,
T.K. Radhakrishnan
International Journal on Smart Sensing and Intelligent Systems, Volume 4 , ISSUE 3, 482–495
Research Article | 13-December-2017
Martin Kocanda,
Bryn M. Wilke,
David S. Ballantine
International Journal on Smart Sensing and Intelligent Systems, Volume 3 , ISSUE 3, 400–410
Research Article | 15-February-2020
A portable low-cost microcontroller based testing system was designed and constructed to detect phthalates in aqueous media. Phthalates, especially di (2-ethylhexyl) phthalate is the most ubiquitous endocrine disrupting compound (EDC) posing highest reproductive toxicity threat to all living species on earth. Frequency response analyser (FRA) approach was used to develop the rapid response, non-invasive electrochemical impedimetric system for detection. A smart thin film gold interdigital
Asif I. Zia,
S.C. Mukhopadhyay,
P.L. Yu,
I. H. Al-Bahadly,
C. Gooneratne,
Jǘrgen Kosel
International Journal on Smart Sensing and Intelligent Systems, Volume 7 , ISSUE 5, 1–7
research-article | 30-November-2019
Nomenclature
AC
alternative current
C
the cumulative power consumed by the combination
C1
the cumulative power consumed by the combination when no motion detected
C2
the cumulative power consumed by the combination when motion detected
DC:
direct current
K
the decision indicator
MCU
microcontroller unit
r
the power consumption of the reader
R
the cumulative power consumed by the reader
R
C
the reliability of combination
R
i
reliability
Anas Mouattah,
Khalid Hachemi
International Journal on Smart Sensing and Intelligent Systems, Volume 13 , ISSUE 1, 1–9
Research Article | 01-June-2017
autonomous and inexpensive microcontroller-based system for monitoring and predicting thermal behaviour of switching devices used in PECs. System’s inputs are non-intrusively measured voltages and currents drawn by those devices while in operation. The developed system also determines lifetime consumption and has the ability to communicate with external monitoring and control systems e.g. supervisory, control and data acquisition (SCADA) platforms. The performance of the developed system was critically
S. H. Teay,
C. Batunlu,
A. Albarbar
International Journal on Smart Sensing and Intelligent Systems, Volume 10 , ISSUE 2, 407–424
Research paper | 02-November-2017
This paper presents design concepts in developing an Autonomous Golf Playing Micro Robot. The robot moves autonomously using 2 DC motors controlled by a remote PC using fuzzy logic system. A servomotor is used for the motion of the putter in hitting the golf ball. A microcontroller is used to process the information sent by the computer through RF communication and drive the robot motors for appropriate motions. The robot plays golf` in a defined environment and avoids obstacles. A real golf
N. G. Jabson,
K.G. B. Leong,
S. W. Licarte,
G. M. S. Oblepias,
E. M. J. Palomado,
E .P. Dadios
International Journal on Smart Sensing and Intelligent Systems, Volume 1 , ISSUE 4, 824–841
Research Article | 15-February-2020
lighter loaded HGV to travel slightly faster and reduce the overtaking time, thus helping eliminate the bottleneck. The system uses a microcontroller that can be used to take odometer measurements from the driving wheels and weight sensors in the cargo area, to be able to alter the top speed achievable. In this situation a load cell is used to simulate the measured load on the lorry and a stepper motor and variable resistor to represent the engine and accelerator. How such a system could be
Sam Soar,
Adam Cassity,
Andrew Jason Tickle
International Journal on Smart Sensing and Intelligent Systems, Volume 7 , ISSUE 5, 1–4
Article | 09-April-2018
feature of all layers are analyzed. As a focus, the hardware components and the control theory of the sensor instrument node and the aggregation instrument node, which are existed in the measurement & control system, are given and discussed also. In the end, programming flow chart of the node microcontroller and main design software module content of the IOT center computer are depicted and proposed. The enterprise experiment result shows that the system has the advantages of easy operation and
Shengquan Yang,
Ceng Gong
International Journal of Advanced Network, Monitoring and Controls, Volume 2 , ISSUE 4, 127–132
Article | 31-July-2018
Serhii Buriakovskyi,
Artem Maslii,
Olga Pasko,
Ihor Denys
Transport Problems, Volume 13 , ISSUE 2, 69–79
Article | 01-December-2014
Malek Njah,
Mohamed Jallouli
International Journal on Smart Sensing and Intelligent Systems, Volume 7 , ISSUE 4, 1922–1942
Research Article | 12-December-2017
parameters to which the crops are susceptive. The sensing system is based on a feedback control mechanism with a centralized control unit which regulates the flow of water on to the field in the real time based on the instantaneous temperature and moisture values. Depending on the varied requirement of different crops, a lookup table has been prepared and referred to for ascertaining the amount of water needed by that crop. The system based on a microcontroller has been applied on rice and maize fields
Aman Tyagi,
Arrabothu Apoorv Reddy,
Jasmeet Singh,
Shubhajit Roy Chowdhury
International Journal on Smart Sensing and Intelligent Systems, Volume 4 , ISSUE 1, 94–111
Research Article | 01-March-2017
, microcontroller and the PC.
P. Visconti,
P. Primiceri,
R. de Fazio,
A. Lay Ekuakille
International Journal on Smart Sensing and Intelligent Systems, Volume 10 , ISSUE 1, 18–48
Research Article | 10-April-2013
Abdel Ilah Nour Alshbatat
International Journal on Smart Sensing and Intelligent Systems, Volume 6 , ISSUE 2, 568–582