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

Current Issue Vol. 12 Issue 1

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Volume 8 Issue 1 July - December 2019

Research Paper

Energy Aware Multiprocessor Architecture Configuration: DQN Approach

Najar Yousra* , Samir Ben Ahmed**

* Department of Science Computer School (ISI), Tunis in Tunisia.

** University of Science and Technology (FST), Tunis in Tunisia.

Yousra, N., and Ahmed, S. B. (2019). Energy Aware Multiprocessor Architecture Configuration: DQN Approach. i-manager's Journal on Embedded Systems, 8(1), 1-9. https://doi.org/10.26634/jes.8.1.16922

Abstract

This research investigates a new Deep Q-Network (DQN) based approach to manage Dynamic Voltage Frequency Scaling (DVFS) on a multiprocessor architecture, such that it would guarantee the balance between energy consumption minimization and application feasibility. This paper also addresses software periodic real time applications with time constraints. The proposed DQN formulation operates in two steps: on offline and on online configuration. It calculates the optimal number of activated homogenous cores and their frequency and reconfigures the platform with these parameters. We perform an experimental investigation on different parameters in a simulation environment executing periodic tasks that are generated randomly with different system charge. The results suggest that the proposed method reduces energy upto CC-EDF and Static-EDF and guarantees schedulability test when compared to state of the art feedback that addresses the same applications.

References

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Research Paper

A New Model for Automatic Agricultural Field Monitoring

Abuzar Md. Nuruddin PK.* , Xue Wen Ding, Tom Page*

- Department of Electronics Engineering, Tianjin University of Technology and Education (TUTE), Hexi District, Tianjin, PRC.

Technology Training Solutions, Chirnside, United Kingdom.

Nuruddin, PK. A. M.,Ding, X. W., and Page, M. (2019). A New Model for Automatic Agricultural Field Monitoring. i-manager's Journal on Embedded Systems, 8(1), 10-14. https://doi.org/10.26634/jes.8.1.16864

Abstract

Agriculture provides a significant economical contribution to Asian countries. Conventional methods used in agriculture require much human labor and energy consumption. An ideal irrigation method for all weather conditions, soil structures, and a variety of crop cultures are needed because of the lack of adequate knowledge in the advancement of technology in rural areas. The aim of this work is to develop an agricultural field monitoring system using embedded system to provide a novel approach to automatic agricultural field monitoring. Here, the proposed work would be developed and implemented by using of temperature, humidity and rain detector sensors embedded with a micro - controller. An AVR micro - controller would be used here and the program would be written in ‘C’ using the ATMEL Studio Integrated Development Environment. The method of this developmental work required calibration of the sensors and interfacing the AVR with an output pump for irrigation purposes. As a result of using this system, farmers are able to evaluate harvest conditions. Practical implications of using this system would be to reduce unwanted usage of water whilst allowing the proper yield of harvest as well as reducing human labor.

References

[1]. Al-Aubidy, K. M., Ali, M. M., Derbas, A. M., & Al-Mutairi, A. W. (2014, February). Real-time monitoring and intelligent control for greenhouses based on wireless sensor network. In 2014 IEEE 11th International Multi- Conference on Systems, Signals & Devices (SSD14) (pp. 1- 7). IEEE. https://doi.org/10.1109/SSD.2014.6808765

[2]. Caetano, F., Pitarma, R., & Reis, P. (2014, June). Intelligent management of urban garden irrigation. In 2014 9th Iberian Conference on Information Systems and Technologies (CISTI) (pp. 1-6). IEEE. https: //doi.org/10.1 1 0 9/CISTI.2014.6876907

[3]. Galande, S. G., & Agrawal, G. H. (2013). Embedded controlled drip irrigation system. International Journal of Emerging Trends & Technology in Computer Science (IJETTCS), 2(5), 37-41.

[4]. Ganesh, C. S. S. (2013). Efficient automatic plant irrigation system using ATMEGA microcontroller. International Journal of Emerging Trends in Electrical and Electronics (IJETEE), 7(1), 49-52.

[5]. Giri, M., Doshi, A., Kulkarni, P., Yendhe, K., & Raskar, S. (2014). Wireless sensor network application for agricultural environmental sensing. International Journal of Advanced Research in Computer Engineering & Technology (IJARCET), 3(5), 1946-1949.

[6]. Hake, A. J., & Patil, A. J. (2014). Condensation control in polyhouse using embedded system. International Journal of Computer Applications, 108(18), 1-4.

[7]. Nandurkar, S. R., Thool, V. R., & Thool, R. C. (2014, February). Design and development of precision agriculture system using wireless sensor network. In 2014 First International Conference on Automation, Control, Energy and Systems (ACES) (pp.1-6). IEEE. https://doi.org/ 10.1109/ACES.2014.6808017

[8]. Ojha, M., Mohite, S., Kathole, S. H. R. A. D. D. H. A., & Tarware, D. I. K. S. H. A. (2016). Microcontroller based automatic plant Watering System. International Journal of Computer Science and Engineering, 5(3), 25-36.

[9]. Patel, N. R., Lanjewar, R. B., Mathurkar, S. S., & Bhandekar, A. A. (2013, December). Microcontroller based drip irrigation system using smart sensor. In 2013 Annual IEEE I n d i a C o n f e re n c e ( I N D I C O N ) ( p p. 1 - 5 ) . I E E E. https://doi.org/10.1109/INDCON.2013.6726064

[10]. Singh, V., Singh, I. P., & Sud, S. K. (2014, May). Low power embedded controlled sensor network for agricultural applications. In IEEE Long Island Systems, Applications and Technology (LISAT) Conference 2014 (pp. 1-4). IEEE. https: //doi.or g/10.1 109/LISA T.2014.6 8452 22

[11]. Sureah, N., Lakshmi, M. N., Yaswanth, G., & Sujatha, G. (2015). Real-time atomization of agricultural environment for social modernization of Indian agricultural system. International Journal of Science Engineering and Advance Technology, 3(3), 90-93.

[12]. Tarange, P. H., Mevekari, R. G., & Shinde, P. A. (2015, March). Web based automatic irrigation system using wireless sensor network and embedded Linux board. In 2015 International Conference on Circuits, Power and Computing Technologies [ICCPCT-2015] (pp. 1-5). IEEE. https://doi.org/10.1109/ICCPCT.2015.7159327

[13]. Tik, L. B., Khuan, C. T., & Palaniappan, S. (2009). Monitoring of an aeroponic greenhouse with a sensor network. International Journal of Computer Science and Network Security, 40(3), 240-246.

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Research Paper

Implementation of Nanocommunication System using Quantum Dot Cellular Automata for Error Detection

R. Gurunadha*

Department of Electronics and Communication Engineering, Jawaharlal Nehru Technological University, Vizianagaram, Andhra Pradesh, India.

Gurunadha, R. (2019). Implementation of Nanocommunication System using Quantum Dot Cellular Automata for Error Detection. i-manager's Journal on Embedded Systems, 8(1), 15-23. https://doi.org/10.26634/jes.8.1.16317

Abstract

A nano-communication system has been developed using Quantum-dot Cellular Automata (QCA). Complementary Metal Oxide Semiconductor (CMOS) is dominant technology in manufacturing of VLSI and it has some problems with scaling in size. Semiconductor industry is looking for emerging technology to replace the CMOS technology. QCA has the advantage of ultra low power consumption, high clock rate. Nanoscale communication systems are used in computer, electronic devices, mobile phones, etc. QCA devices are designed by carefully selecting the placement of QCA cells and the timing of their tunnelling barriers are raised and lowered. By improving this communication system, signal distribution can be increased. The design of QCA is implemented using AND gate, OR gate, NOR gate, etc. The main objective of the study is to provide fast processing and energy saving approach for communication systems. Nano communication architecture with the proposed circuits demonstrates the efficiency of this design. In this paper a simple XOR gate and novel XOR gate design are shown using QCA. The results of simple XOR and novel XOR is compared in terms of delay, area and time. The active area of QCA research involves the design and verification of complex devices composed of fundamental QCA gates. Furthermore, the bit-error coverage in nano communication was detected. Using these gate level sample, it is possible to develop high combinational circuits for achieving updated technology.

References

[1]. Awais, M., Vacca, M., Graziano, M., Roch, M. R., & Masera, G. (2013). Quantum dot cellular automata check node implementation for LDPC decoders. IEEE Transactions on Nanotechnology, 12(3), 368-377. https:// doi.org/10.1109/TNANO.2013.2251422

[2]. Chabi, A. M., Sayedsalehi, S., Angizi, S., & Navi, K. (2014). Efficient QCA exclusive-OR and multiplexer circuits based on a nanoelectronic-compatible designing approach. International Scholarly Research Notices (pp. 1-9). https://doi.org/10.1155/2014/463967

[3]. Cheung, T., & Smith, J. E. (1986). A simulation study of the CRAY X-MP memory system. IEEE Transactions on Computers, 35(7), 613-622. https://doi.ieeecompu tersocie ty.org/10.1109/TC.1986.1676802

[4]. Cho, H., & Swartzlander, E. E. (2007). Adder designs and analyses for Quantum-dot cellular automata. IEEE Transactions on Nanotechnology, 6(3), 374-383. https://doi.org/10.1109/TNANO.2007.894839

[5]. Devadoss, R., Paul, K., & Balakrishnan, M. (2011). PQCA: A tiled programmable fabric architecture using molecular quantum-dot cellular automata. ACM Journal on Emerging Technologies in Computing Systems (JETC), 7(3), 1-20. https://doi.org/10.1145/2000502.2000506

[6]. Duquennoy, S., Le Beux, S., Marquet, P., Meftali, S., & Dekeyser, J. L. (2006, December). MpNoC design: th Modeling and simulation. In 15 IP Based SoC Design Conference (IP-SoC 2006) (pp.1-6).

[7]. Ermolov, V., Heino, M., Karkkainen, A., Lehtiniemi, R., Nefedov, N., Pasanen, P., Radivojevic, Z., Rouvala, M., Ryhanen, T., Vusitalo, M. A., & Uusitalo, M. A. (2007, September). Significance of nanotechnology for future th wireless devices and communications. In 2007 IEEE 18 International Symposium on Personal, Indoor and Mobile Radio Communications (pp. 1-5). IEEE. https://doi.org/ 10.1109/PIMRC.2007.4394126

[8]. Gladshtein, M. (2011). Quantum-dot cellular automata serial decimal adder. IEEE Transactions on Nanotechnology, 10(6), 1377-1382. https://doi.org/ 10.1109/TNANO.2011.2138714

[9]. Graunke, C. R., Wheeler, D. I., Tougaw, D., & Will, J. D. (2005). Implementation of a crossbar network using quantum-dot cellular automata. IEEE Transactions on Nanotechnology, 4(4), 435-440. https://doi.org/10.1109/ TNANO.2005.851278

[10]. Hänninen, I., & Takala, J. (2007). Binary multipliers on quantum-dot cellular automata. Facta Universitatis Series: Electronics and Energetics, 20(3), 541-560. https:/ /doi.org/10.2298/FUEE0703541H

[11]. Hashemi, S., Farazkish, R., & Navi, K. (2013). New quantum dot cellular automata cell arrangements. Journal of Computational and Theoretical Nanoscience, 10(4), 798-809. https://doi.org/10.1166/jctn.2013.2773

[12]. Hayati, M., & Rezaei, A. (2013). Design of novel efficient XOR gates for quantum-dot cellular automata. Journal of Computational and Theoretical Nanoscience, 10(3), 643-647. https://doi.org/10.1166/jctn.2013.2748

[13]. Janulis, J. R., Tougaw, P. D., Henderson, S. C., & Johnson, E. W. (2004). Serial bit-stream analysis using quantum-dot cellular automata. IEEE Transactions on Nanotechnology, 3(1), 158-164. https://doi.org/10.1109/ TNANO.2004.824014

[14]. Lauwereins, R. (2002, September). Creating a world of smart re-configurable devices. In International Conference on Field Programmable Logic and Applications (pp. 790-794). Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-46117-5_81

[15]. Lent, C. S., & Tougaw, P. D. (1997). A device architecture for computing with quantum dots. Proceedings of the IEEE, 85(4), 541-557. https://doi.org/ 10.1109/5.573740

[16]. Lent, C. S., Tougaw, P. D., Porod, W., & Bernstein, G. H. (1993). Quantum cellular automata. Nanotechnology, 4(1), 49-57. https://doi.org/10.1088/0957-4484/4/1/004

[17]. Niemier, M. T. (2000). Designing digital systems in quantum cellular automata (Doctoral dissertation), University of Notre Dame, Indiana. Retrived from http://nano.cc.gatech.edu/documents/Niemier%20- %20Design%20Digitial%2 0Systems%20in%20QCA.pdf

[18]. Perri, S., & Corsonello , P. (2012). New methodology for the design of efficient binary addition circuits in QCA. IEEE Transactions on Nanotechnology, 11(6), 1192-1200. https://doi.org/10.1109/TNANO.2012.2220565

[19]. Sardinha, L. H., Costa, A. M., Neto, O. P. V., Vieira, L. F., & Vieira, M. A. (2013). Nanorouter: A quantum-dot cellular automata design. IEEE Journal on Selected Areas in Communications, 31(12), 825-834. https://doi.org/ 10.1109/JSAC.2013.SUP2.12130015

[20]. Tehrani, M. A., Safaei, F., Moaiyeri, M. H., & Navi, K. (2011). Design and implementation of multistage interconnection networks using quantum-dot cellular automata. Microelectronics Journal, 42(6), 913-922. http s://doi.org/10.1016/j.mejo.2011.03.004

[21]. Tougaw, D., & Khatun, M. (2013). A scalable signal distribution network for quantum-dot cellular automata. IEEE Transactions on Nanotechnology, 12(2), 215-224. https://doi.org/10.1109/TNANO.2013.2243162

[22]. Tougaw, P. D., & Lent, C. S. (1994). Logical devices implemented using quantum cellular automata. Journal of Applied Physics, 75(3), 1818-1825. https://doi.org/10.1063/1.356375

[23]. Waje, M. G., & Dakhole, P. K. (2014, March). Design and simulation of new XOR gate and code converters using Quantum Dot Cellular Automata with reduced number of wire crossings. In 2014 International Conference on Circuits, Power and Computing Technologies [ICCPCT-2014] (pp. 1245-1250). IEEE. https: //doi.org/10.1109/ICCPCT.2014.7054942

[24]. Walus, K., & Jullien, G. A. (2006). Design tools for an emerging SoC technology: Quantum-dot cellular automata. Proceedings of the IEEE, 94(6), 1225-1244. https://doi.org/10.1109/JPROC.2006.875791

[25]. Walus, K., Dysart, T. J., Jullien, G. A., & Budiman, R. A. (2004). QCA Designer: A rapid design and simulation tool for quantum-dot cellular automata. IEEE Transactions on Nanotechnology, 3(1), 26-31. https://doi.org/10.1109/TN ANO.2003.820815

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Research Paper

Designing of the Smart Patient Transportation System

Prashant V. Mane Deshmukh*

Department of Electronics, Jayawantrao Sawant College of Commerce and Science, Pune, India.

Deshmukh, P. V. M. (2019). Designing of the Smart Patient Transportation System. i-manager's Journal on Embedded Systems, 8(1), 24-30. https://doi.org/10.26634/jes.8.1.16662

Abstract

Nowadays, the lifestyle of human being is becoming smarter due to smart electronics equipments for personal as well as domestic applications. The medical field is also powered by the use of advanced technologies in hospitals. Ambulances play a significant role to transport patients from home to hospital or from one hospital to other hospital. At the time of transportation of the patients, ambulances face many critical situations like heavy traffic, traffic signals, bad road including condition potholes, etc. Moreover, the patient in the ambulance bears the roads conditions like up and down and the vibrations of ambulance. Considering such facts, it is proposed to design the smart stretcher. The aim of present research work was to reduce the effect of potholes on roads, road structure and vibrations of ambulance on a patient traveling on a stretcher in a typical ambulance. Vibrations are sensed by a smart sensor and the electronic system is designed to adjust stretcher stand smoothly, hence the effect of potholes on roads, vibrations of ambulances are removed and it becomes easy for healthcare team to transport the patient. The electronic system consist of signal processing and actuators. The signal processing unit processed the sensed data from signal and according to that the output signal is produced to actuator. On implementation of the system, it is observed that the proposed system works satisfactorily.

References

[1]. Analog Devices. (2009). Digital Accelerometer. Retrieved from https://www.sparkfun.com/datasheets/ Sensors/Accelerometer/ADXL345.pdf

[2]. Arunkumar, S. M., Abhijith, P. K., Karoshi, H. A., & Chetan, C. (2017). Design and fabrication of stretcher cum wheelchair. International Journal of Latest Engineering Research and Applications, 2(5), 90-96.

[3]. Baltes, J., McGrath, S., & Anderson, J. (2004, December). Active balancing using gyroscopes for a nd small humanoid robot. In 2 International Conference On Autonomous Robots and Agents (pp. 470-475).

[4]. Beri, G., Ganjare, P., Gate, A., Channawar, A., & Gaikwad, V. (2016). Intelligent ambulance with traffic control. International Journal of Electronics and Computer Systems, 4(2), 43-46.

[5]. Deshmukh, P. V. M., Adat, D. M., Ladgaonakar, B. P. & Tilekar, S. K. (2018). Monitoring and control of gas leakages of industrial sector using PIC 18F4550, zigbee and wireless sensor actuator network. i-manager's Journal on Electronics Engineering, 8(3), 5-13. https://doi.org/10. 26634/jele.8.3.14387

[6]. Devika, M. D. (2016) Intelligent traffic management for ambulance and VIP vehicles. International Journal of Innovative Research in Science Engineering and Technology, 5(8), 15041-15046.

[7]. Duran, A., Öztürk, H., Tekelioğlu, Ü. Y., Ocak, T., & Emet, M. (2013). The effect of stretcher type on safety and ease of treatment in an emergency department. Turkish Journal of Medical Sciences, 43(6), 986-989. https://doi. org/10 .3906/sag-1210-51

[8]. Hirudkar, A., Bhusari, C., Khedkar, A., Parekar, A., & Daf, S. P. (2017). Automatic stretcher cum wheelchair. International Research Journal of Engineering and Technology (IRJET), 4(3), 1659- 1663.

[9]. Iyyappan, M. S., & Nandagopal, M. V. (2013). Automatic accident detection and ambulance rescue with intelligent traffic light system. International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering, 2(4), 1319-1325.

[10]. Kapoor, S., Gupta, P., Sharma, P., & Singh, P. N. (2017). Intelligent ambulance with automatic traffic control. International Research Journal of Engineering and Technology (IRJET), 4, 1264-1266.

[11]. Lekshmy, S., Georg, A., & Athira, C. V. (2015), Self balancing robot. International Journal of Computer Engineering In Research Trends, 2(12), 1091-1095.

[12]. Mane-Deshmukh, P. V. & Ladgaonkar, B. P. (2017). Design and Implementation of PIC microcontroller based mote for wireless sensor network, for industrial applications (Doctoral dissertation), Solapur University. Retrieved Ffrom https://hdl.handle.net/10603/204794

[13]. Mane-Deshmukh, P. V. (2018). Designing of wireless sensor network to protect agricultural farm from wild animals. i-manager's Journal on Information Technology, 7(4), 30-36. https://doi.org/10.26634/jit.7.4.14505

[14]. Mane-Deshmukh, P. V., Ladgaonkar, B. P., Pathan, S. C., & Shaikh, S. S. (2013). Microcontroller PIC18f4550 based wireless sensor node to monitor industrial environmental parameters. International Journal of Advanced Research in Computer Science and Software Engineering, 3(10), 943-950.

[15]. Menon, V. A. (2018). Product development approach for a stabilized ambulance stretcher (Doctoral dissertation). Retrieved from https://recipp.ipp. pt/bitstream/10400.22/14247/1/DM_VijayendraMenon _2018_ ME M.pdf

[16]. Microchip. (2006). Datasheet of PIC microcontroller. Retrieved from https://ww1.microchip.com/downloads/e n /devicedoc/39632c.pdf

[17]. Nellore, K., & Hancke, G. P. (2016). Traffic management for emergency vehicle priority based on visual sensing. Sensors, 16(11), 1-22. https://doi.org/1 0.3390/s16111892

[18]. Pashazadeh, S., & Saeedvand, S. (2014). Modelling of walking humanoid robot with capability of floor detection and dynamic balancing using colored petri net. International Journal in Foundations of Computer Science & Technology (IJFCST), 4(2), 1-10.

[19]. Priyanka, P., Sharmila, V., Sindhu, V. C., & Sangeetha, P. (2016). Intelligent traffic control system for ambulance clearance and stolen vehicle detection. International Journal of Research and Engineering, 3 (3), 13-17.

[20]. Reddy, D. S., & Khare V., (2017). A smart ambulance system. International Journal of Innovative Technologies , 5(2), 0224-0227.

[21]. Saradha, B. J., Vijayshri, G., & Subha, T. (2017, February). Intelligent traffic signal control system for ambulance using RFID and cloud. In 2017 2nd International Conference on Computing and Communications Technologies (ICCCT) (pp. 90-96). IEEE. https://doi.org/10.1109/ICCCT2.2017.7972255

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Research Paper

Microcontroller based an Embedded System for Railway Gate Monitoring and Controlling

Pranali S. Wagh* , A. B. More, S. A. Pote*, T. K. Pise**, S. C. Pathan*, S. K. Tilekar, Prashant V. Mane Deshmukh***

- Department of Electronics, Shankarrao Mohite Mahavidyalaya, Akluj, Maharashtra, India.

Department of Electronics, Jayawantrao Sawant College of Commerce and Science, Pune, India.

Wagh, P. S., More, A. B., Pote, S. A., Pise, T. K., Pathan, S. C., Tilekar, S. K., and Deshmukh, P. V. M. (2019). Microcontroller based an Embedded System for Railway Gate Monitoring and Controlling. i-manager's Journal on Embedded Systems, 8(1), 31-40. https://doi.org/10.26634/jes.8.1.16992

Abstract

The trends of electronic devices applications are changes with the evolutionary change in the electronics technology. The field of embedded technology is growing with advanced microcontrollers. Due to this, electronic system is widely used in different sectors for monitoring and controlling. On observation, it is found that controlling railway gate crossing is one of the most important concept and it is proposed to develop and deploy the advanced microcontroller for the same. Hence, the literature survey has been carried out and proposed to deploy advance microcontroller of PIC family to develop a prototype for the present system for monitoring and controlling the railway gate. For this the IR sensor is deployed to sense the position of the train and corresponding signal is processed by microcontroller according to the user firmware to generate control action of closing or opening the railway crossing gate. To cater the need of mechanical movement, DC motor is deployed in the proposed system. On investigation of the deployment of to prototype for practical purpose, it is observed that the system works successfully with high reliability.

References

[1]. Adat, D. M., Deshmukh, P. V. M., Tilekar, S. K., & Lagaonkar, B. P. (2019). An Electronics solution to facilitate smart city for waste management. i-manager's Journal on Electronics Engineering, 9(3), 38-44. https://doi. org/10.26634/jele.9.3.15179

[2]. Anila, S., Saranya, B., Kiruthikamani, G., & Devi, P. (2017). Intelligent system for automatic railway gate Controlling and obstacle detection. International Journal of Current Engineering and Scientific Research (IJCESR), 4 (8), 24-30.

[3]. Arun, P., Sabarinath, G., Sabarinath, G., & Careena, P. (2013). Implementation of ZigBee based train anticollision and level crossing protection system for indian railways. International Journal of Latest Trends in Engineering and Technology (IJLTET), 2 (1), 12-18.

[4]. Balamurugan, C. R, Vijayshankarganth, P., Alagarraja, R., Subramanian, V. E., & Ragupathy, R. (2018). Automatic railway gate control system using 8051micro controller. International Journal of Chem Tech Research Coden, 11(4) , 63-70. https://doi.org/10.20902/ IJCTR.2018.110407

[5]. Deshmukh, P. V. M., Adat, D. M., Ladgaonakar, B. P. & Tilekar, S. K. (2018). Monitoring and control of gas leakages of industrial sector using PIC 18F4550, ZigBee and wireless sensor actuator network. i-manager's Journal on Electronics Engineering, 8(3), 5-13. https://doi.org/ 10.26634/jele.8.3.14387

[6]. Kale, S. B., & Dhok, G. P. (2013). Design of intelligent ambulance and traffic control. International Journal of Innovative Technology and Exploring Engineering (IJITEE), 2(5), 2278-3075.

[7]. Khulna, & Bangladesh. (2015). Automated railway gate controlling system. International Journal of Computer Trends and Technology, 27(1), 1-5.

[8]. Kottalil, A. M., Abhijith, S, Ajmal, M. M., Abhilash, L. J., & Babu, A. (2014). Automatic railway gate control system. International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering, 3(2), 7619- 7622

[9]. Krishnamurthi, K., Bobby, M., Vidya, V., & Baby, E. (2015). Sensor based automatic control of railway gates. International Journal of Advanced Research in Computer Engineering & Technology (IJARCET), 4(2), 539-543.

[10]. Leena, G., Vidawat, C. S., & Jha, N. (2017). Automatic railway system. International Journal of Computer Applications, 159 (8), 30-33.

[11]. Mane-Deshmukh, P. V. (2018a). Design and implementation of pic microcontroller based mote for wireless sensor network for industrial applications. (Doctoral disseratation), Solapur University. Retrived from https://hdl.handle. net/10603/204794

[12]. Mane-Deshmukh, P. V. (2018b). Designing of wireless sensor network to protect agricultural farm from wild animals. i-manager's Journal on Information Technology, 7(4), 30-36. https://doi.org/10.26634/jit.7.4.14505

[13]. Mane-Deshmukh, P. V., Ladgaonkar, B. P., Pathan, S. C., & Shaikh, S. S. (2013). Microcontroller PIC18f4550 based wireless sensor node to monitor industrial environmental parameters. International Journal of Advanced Research in Computer Science and Software Engineering, 3(10), 943-950.

[14]. Punekar, N. S., & Raut, A. A. (2013). Improving railway safety with obstacle detection and tracking system using GPS-GSM model. International Journal of Scientific & Engineering Research, 4(8), 282-288.

[15]. Pwint, H. N. Y., Tun, Z. M., & Tun, H. M. (2014). Automatic railway gate control system using microcontroller. International Journal of Science, Engineering and Technology Research (IJSETR), 3(5), 1547-1551.

[16]. Sanjiv, B. K., Srilaxmi, P., & Ranga, V. P., (2019). Zigbee based railway gate controlling. International Journal of Innovative Technology and Exploring Engineering, 8(4), 161-163.

[17]. Sharma, P., Kumar, R., & Sarika. (2015). Automatic railway gate control system based on RFID, pressure sensor and servo motor. Journal of Network Communications and Emerging Technologies, 5(2), 153-156.

[18]. Shrirao, S., & Rojatkar, D. (2016). A review-automatic railway gate control system. International Journal of Scientific Research in Science, Engineering and Technology (IJSRSET), 2(6), 681-684.

[19]. Swamy, N., & Sivaprasad, B. (2017). Embedded based efficient railway track security system using ZigBee technology and GPS. International Journal of Engineering, Science and Mathematics, 6(8), 774-779.

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

Current Issue Vol. 12 Issue 1

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Volume 8 Issue 1 July - December 2019

Energy Aware Multiprocessor Architecture Configuration: DQN Approach

Najar Yousra* , Samir Ben Ahmed**

* Department of Science Computer School (ISI), Tunis in Tunisia. ** University of Science and Technology (FST), Tunis in Tunisia.

Yousra, N., and Ahmed, S. B. (2019). Energy Aware Multiprocessor Architecture Configuration: DQN Approach. i-manager's Journal on Embedded Systems, 8(1), 1-9. https://doi.org/10.26634/jes.8.1.16922

Abstract

References

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A New Model for Automatic Agricultural Field Monitoring

Abuzar Md. Nuruddin PK.* , Xue Wen Ding**, Tom Page***

*-** Department of Electronics Engineering, Tianjin University of Technology and Education (TUTE), Hexi District, Tianjin, PRC. *** Technology Training Solutions, Chirnside, United Kingdom.

Nuruddin, PK. A. M.,Ding, X. W., and Page, M. (2019). A New Model for Automatic Agricultural Field Monitoring. i-manager's Journal on Embedded Systems, 8(1), 10-14. https://doi.org/10.26634/jes.8.1.16864

Abstract

References

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Implementation of Nanocommunication System using Quantum Dot Cellular Automata for Error Detection

R. Gurunadha*

Department of Electronics and Communication Engineering, Jawaharlal Nehru Technological University, Vizianagaram, Andhra Pradesh, India.

Gurunadha, R. (2019). Implementation of Nanocommunication System using Quantum Dot Cellular Automata for Error Detection. i-manager's Journal on Embedded Systems, 8(1), 15-23. https://doi.org/10.26634/jes.8.1.16317

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Designing of the Smart Patient Transportation System

Prashant V. Mane Deshmukh*

Department of Electronics, Jayawantrao Sawant College of Commerce and Science, Pune, India.

Deshmukh, P. V. M. (2019). Designing of the Smart Patient Transportation System. i-manager's Journal on Embedded Systems, 8(1), 24-30. https://doi.org/10.26634/jes.8.1.16662

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Microcontroller based an Embedded System for Railway Gate Monitoring and Controlling

Pranali S. Wagh* , A. B. More**, S. A. Pote***, T. K. Pise****, S. C. Pathan*****, S. K. Tilekar******, Prashant V. Mane Deshmukh*******

*-****** Department of Electronics, Shankarrao Mohite Mahavidyalaya, Akluj, Maharashtra, India. ******* Department of Electronics, Jayawantrao Sawant College of Commerce and Science, Pune, India.

Wagh, P. S., More, A. B., Pote, S. A., Pise, T. K., Pathan, S. C., Tilekar, S. K., and Deshmukh, P. V. M. (2019). Microcontroller based an Embedded System for Railway Gate Monitoring and Controlling. i-manager's Journal on Embedded Systems, 8(1), 31-40. https://doi.org/10.26634/jes.8.1.16992

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* Department of Science Computer School (ISI), Tunis in Tunisia.

** University of Science and Technology (FST), Tunis in Tunisia.

Abuzar Md. Nuruddin PK.* , Xue Wen Ding, Tom Page*

- Department of Electronics Engineering, Tianjin University of Technology and Education (TUTE), Hexi District, Tianjin, PRC.

Technology Training Solutions, Chirnside, United Kingdom.

Pranali S. Wagh* , A. B. More, S. A. Pote*, T. K. Pise**, S. C. Pathan*, S. K. Tilekar, Prashant V. Mane Deshmukh***

- Department of Electronics, Shankarrao Mohite Mahavidyalaya, Akluj, Maharashtra, India.

Department of Electronics, Jayawantrao Sawant College of Commerce and Science, Pune, India.