i-manager's Journal on Embedded Systems (JES)


Volume 3 Issue 4 November - January 2015

Research Paper

Embedded Electronics in Textiles and Wearable Technology

Tom Page*
Senior Lecturer, Loughborough University.
Page,T. (2015). Embedded Electronics in Textiles and Wearable Technology. i-manager’s Journal on Embedded Systems, 3(4), 1-18. https://doi.org/10.26634/jes.3.4.3511

Abstract

This paper aims to investigate into the applications and technology behind embedded electronics within wearable textiles in order to determine what direction it should take in order to thrive in the future. Wearable technology is a term that is highly ill-defined whose name and meaning has continued to evolve since the first abacus necklace in the early 1600's. A literature review will be used to analyse trends within wearable technology from its origin to its current state of the art. The comparing and contrasting of different papers will allow the current key technological barriers that could affect the future growth of electronic textiles within clothing to be identified, to aid the prediction of its future. As a result of the rapid growth of the internet of things, it will be found that wireless communication technology within electronics textiles is a fundamental piece of technology that will determine how e-textiles could expand in the future. Further interviews with experts and analysis of wearable antenna case studies will highlight the key technical challenges that are currently faced and a prediction will be made regarding whether wireless communications within electronic wearable textiles should develop to allow it to thrive in the future. The results show that within the next decade, wireless electronic wearable textile devices will not breach into mass production, will be used as an attachable accessory rather than being combined on a fibre level and will have to be used only on rigid thick items of clothing. This is due to limitations in washing electronics, under-researched mass manufacturing processes and a lack of a solution to a large reduction in wireless signal strength due to close proximity with the human body.

Research Paper

Automatic Surveillance System

E. Kiran Mahesh* , D. Sai Lohith**, Bukkasamudram Neetha Reddy***
*,**,*** B.Tech , Department of Electronics and Instrumentation Engineering, Sree Vidyanikethan Engineering College, Tirupati, Andhra Pradesh, India.
Mahesh,K.E., Lohith,S.D., and Reddy,N,B. (2015). Automatic Surveillance System. i-manager’s Journal on Embedded Systems, 3(4), 19-22. https://doi.org/10.26634/jes.3.4.3512

Abstract

In recent times new trends of technology are being introduced to ensure smart and easy way of life, and safety and security is also one of the major objective. Surveillance cameras are a great way to provide security for our homes or workplace. It provides us with video footage of any events that may happen. They also act as a visible deterrent to criminals. But this camera is fixed at one position to cover a required location as described in [1], and for different locations the user needs so many number of cameras for surveillance. This paper deals with the implementation of smart surveillance monitoring system using Arduino kit and some proximity sensors. The proposed security system will provide a new range of facility which is able to do more than two camera’s work at a time, and is also cost efficient.

Research Paper

Implementing Remote Healthcare System in Rural Area of Bangladesh

Mahbubur Rahman* , Abu Juha Ahmed Muid**, Md. Taslim Arefin***
Department of Electronics & Telecommunication Engineering, Daffodil International University, Shukrabad, Dhanmondi, Dhaka, Bangladesh
Rahman,M., Muid,A,J,A., and Arefin,T. (2015). Implementing Remote Healthcare System in Rural Area of Bangladesh. i-manager’s Journal on Embedded Systems, 3(4), 23-30. https://doi.org/10.26634/jes.3.4.3513

Abstract

Rural healthcare system in a developing country like Bangladesh is lagging behind, because of its traditional infrastructure and resources management. The rural healthcare system is not well developed and planned and that's why is a very much costlier and lengthy process to the rural people to get modern healthcare services. The main purpose of this work is to design a healthcare network system that will enable rural patients to get modern facilities and healthcare, at reduced time and cost. This proposed model consists of three different sites – remote, regional and central office, with modern hospital, under the same network. A central database system has been proposed for storing health data. Data security and privacy will be ensured to both patient and doctor.

Research Paper

Hardware Implementation of Artificial Neural Networks

K.V. Ramanaiah* , Siripurapu Sridhar**
* YSR Engineering College, Yogi Vemana University, India.
** LENDI Institute of Engineering and Technology, India
Ramanaiah.K.V., and Sridhar,S. (2015). Hardware Implementation of Artificial Neural Networks. i-manager’s Journal on Embedded Systems, 3(4), 31-34. https://doi.org/10.26634/jes.3.4.3514

Abstract

Soft computing Artificial Neural Networks (ANN) represent a family of statistical learning models inspired by the biological nervous systems for approximating functions based on large number of unknown inputs. Artificial Neural Networks are comprised of simple processing Neuron elements that possess numeric weighted interconnections arranged in a layered fashion, which can be tuned to make them adaptive to the given inputs. Hardware architectures for implementation of soft computing multi layer perceptron type feed forward artificial neural networks (MLPFFNN) targeting Field Programmable Gate Arrays (FPGA) are presented. Hardware realization of ANN, to a large extent depends on the efficient implementation of a single neuron. Parallel digital system MLPFFNN architecture is designed in Verilog HDL language. The fast processing tendency of parallel neural network architectures makes them more suitable for implementation in VLSI technology. FPGA realization of ANNs with a large number of neurons is still a challenging task. The proposed neural network architecture is implemented in two phases; First phase includes training the neural network using MATLAB program, the second phase of implementation included the hardware implementation of trained parallel neural network targeting Xilinx high performance Virtex family FPGA devices. Hardware realization of ANNs with a large number of neurons is still a challenging task.

Research Paper

Li-Fi Technology Light Source as a Hub of Data Transmission and Projection Display

P. Manju* , G. Marakatha Minu**, G. Dev Jerusha***, J. Banumathi****
*-*** B.E Students,Department of Computer Science and Engineering,University College of Engineering, Konam, Kanyakumari District, Tamil Nadu, India.
**** Assistant Professor,Department of Computer Science and Engineering,University College of Engineering, Konam, Kanyakumari District, Tamil Nadu, India.
Manju.P., Minu,M.G., Jerusha,D.G., and Banumathi. J. (2015). Li-Fi Technology Light Source as a Hub of Data Transmission and Projection Display. i-manager’s Journal on Embedded Systems, 3(4), 35-40. https://doi.org/10.26634/jes.3.4.3515

Abstract

Li-Fi stands for Light-Fidelity which is a new era of wireless communication and data sharing. There is an increase in internet users exponentially, but the Radio Spectrum is congested. Moreover, the demand for wireless data double each year. This paper focuses on developing a Li-Fi based system and analyzes its performance with respect to existing technology. LI-Fi technology also introduces the LUXIM LIFI technology and describes its integration into projection display systems. Wi-Fi is great for general wireless coverage within buildings, whereas Li-Fi is ideal for high density wireless data coverage in confined areas and for relieving radio interference issues.