SlideShare a Scribd company logo
1 of 11
Download to read offline
Proceedings of the International Conference on Emerging Trends in Engineering and Management (ICETEM14)
30 – 31, December 2014, Ernakulam, India
6
AUTO DEPANNAGE DIGITAL SYSTEM WITH
ENDOCRINE CELLULAR COMMUNICATION
Archanalakshmi K.S1
, Arathy Iyer2
1
M.Tech VLSI & Embedded Systems, ECE, SNGCE, Ernakulam, India
2
Assistant Professor, ECE, SNGCE, Ernakulam, India
ABSTRACT
Auto Depannage digital system offers the most promising automatically fault recovering bio-
inspired model for digital circuits. In this paper, biological concept translates into hardware and finds
an equivalent concept in the world of silicon. Adopting the endocrine cellular communication, the
proposed system isolates the faulty cells and replaces with proper spare cell. The rerouting process
simplifies by reducing the hardware overhead beside with the growing size of the circuit. Also
reducing the unutilized hardware for fault recovery while sustaining good fault-coverage.There are
already several available approaches that can replace a faulty module by embedding the same
encoded data of the faulty module into the stem module, but none of them can preserve the function
and connections through single-step embedding as proposed in this paper. Moreover, the other
existing systems require huge amount of hardware for such an operation. The modules involved in
this mechanism are distributed and operated in parallel; therefore, simultaneous fault can be
recovered easily. Also, it can preserve the state and function that exist just before the fault occurs in
the system. The whole system is embedded in FPGA and it is verified that normal operation is
sustained even after several kinds of faults were injected as input.
Keywords: Depannage, Dynamic routing, Gene Control Layer, Stem Cell, Working Cell.
1. INTRODUCTION
The world of electronic circuit always faces an issue of fault infuriation even if they provide
good performance. A single fault may cause the entire system useless. In critical applications, fault
infuriation plays a major role in system performance, and they need efficient fault recovery method
to maintain normal state. In the early stages, conventional methods like DMR and TMR were used,
but they offered less fault coverage and increased redundancy. Thus, new approach arise from
INTERNATIONAL JOURNAL OF ELECTRONICS AND
COMMUNICATION ENGINEERING & TECHNOLOGY (IJECET)
ISSN 0976 – 6464(Print)
ISSN 0976 – 6472(Online)
Volume 5, Issue 12, December (2014), pp. 06-16
© IAEME: http://www.iaeme.com/IJECET.asp
Journal Impact Factor (2014): 7.2836 (Calculated by GISI)
www.jifactor.com
IJECET
© I A E M E
Proceedings of the International Conference on Emerging Trends in Engineering and Management (ICETEM14)
30 – 31, December 2014, Ernakulam, India
7
biological concepts and are more suitable in fault tolerant digital system design [1]-[16]. One of the
delegate approaches, MUX TREE method [13] offers better self repairing and replication, but has
only less fault coverage. Another approach uses endocrine systems [9] to improve redundancy, but
needs a complex communication for rerouting. This paper presents a new methodology to overcome
these problems, thereby using endocrine cellular communication for self-repairing [1] in digital
systems. The Auto Depannage mechanism improves the fault detection and reduces hardware
overhead for digital system design.
2. AUTO DEPANNAGE MECHANISM USING ENDOCRINE CELLULAR
COMMUNICATION
Auto Depannage digital system is a self-recovering digital system that can recover from
different types of functional faults. In endocrine cellular communication, endocrine cell secretes a
specific hormone for cell replacement only after it receives another specific hormone of damage cell
indication. By adopting the similar mechanism, proposed system [16] isolates the faulty cells and
replaces with a proper spare cell.
3. ARCHITECTURE OVERVIEW
The entire architecture of Auto Depannage digital system is composed of two layers, called
functional layer and gene control layer as in Fig1.
Fig 1: Auto Depannage digital system architecture
Both layers are operated in parallel, thus the system can recover even several faults occur in
different modules a same time. Functional layer contain artificial cells (modules). Module may be
working cell(WC), spare cell(SC) or isolated cells. Every WC is surrounded with its 4 SC as shown
in Fig 1, and each SCs is connected to its neighbouring WC. Each WC having its own ICU and SCs
has it own DU in gene control layer. The gene control layer is functionally positioned in parallel with
the functional layer. Thus, the gene control layer must control the functional layer properly without a
collision. Fig 2. shows interaction between layers for fault recovering. Here WC is replaced by SC
when a permanent fault arises in it.
Proceedings of the International Conference on Emerging Trends in Engineering and Management (ICETEM14)
30 – 31, December 2014, Ernakulam, India
8
3.1. FunctionalLayer
Functionality of target digital system is dividing into different genome and fed in each
working cells (WC). Each WC surrounded by its own stem (spare) cells and it contains genome of
neighboring working cell. The isolated cells are cells, which are isolated due to permanent fault.
These three types of cells are commonly known as module. All modules have similar basic structure
and these different modules forms a layer called functional layer (structural layer).
Every module contains two major units. They are,
Fig 2: Interaction between layers for fault recovery
3.1.1. Genome and Basic Structure
The genome plays the most important role in each cell. Genome is similar to a memory,
which contains encoded data about functionality and routing structure. Using the proper genome,
module constructs a basic structure corresponding to functionality of WC. The output from it fed into
fault detection and correction unit.
3.1.2. Fault Detection and Correction Unit
The drawbacks of existing system are, it requires large memory for fault detection and
correction, and less functional fault recovery.
Fig 3: Fault detection and correction unit
Proceedings of the International Conference on Emerging Trends in Engineering and Management (ICETEM14)
30 – 31, December 2014, Ernakulam, India
9
The proposed architecture overcomes it by elementary operational unit as shown in Fig 3.
The elementary unit produce bitwise fixed result corresponding to inputs of WC. This result is fed
into comparator unit 1 and cross check the data in (True or fault output). Then it is set flag if any
mismatch is present. Faulty data and its location, is found out by using comparator unit 2. If it is a
transient fault, then try to correct it using elementary unit and perfect genome and send corrected
data to cell. If the fault appears simultaneously, even after fault correction and genome replacement,
then it is a permanent fault. It is due to the fault in genome, the entire cell has to be replaced, set a
fault signal and given to gene control layer.
3.2. Gene Control Layer
The gene control layer assigns proper spare cell by producing control signals after receiving
fault signal as in Fig 2. It finds available spare cell and selects proper genome to the particular spare
cell. Then the spare cell takes the functionality of the faulty working cell. The gene control layer is
composed of,
3.2.1. Index Changing Unit
Index changing unit (ICU) receives faulty signals and changes the index bits. TABLE I
shows index bits and its ideal values.
State bit: It shows whether the cell is a SC or a WC or an isolated cell.
Direction bit: It indicates the direction of the WC for which stem cell is differentiated
Differentiation bit: It signifies the indication to enable spare cell.
TABLE I. INDEX BITS FOR EACH STEM CELL
State bit
Stem cell 0
Working or Isolated cell 1
Direction bits
The direction
of the WC
for which
stem cell is
differentiated
Left 00
Down 01
Right 10
Up 11
Differentiation
bit
No change 0
Differentiate the stem
cell
1
3.2.2. Differentiation Unit
The Differentiation Unit (DU) receives index bits and sends differentiated signal to
corresponding stem cell. At the same time, the isolation signal is sent to faulty module from ICU.
Thereby, the fault recovery is achieved and the target system maintains the normal operation
4. FUNCTIONAL FAULT COVERAGE
Auto Depannage mechanism offers functional fault coverage. It may be a transient,
permanent, or simultaneous fault. Fig 4 shows Auto Depannage ALU without any fault. Consider it
can perform 4 different operations like addition, subtraction, multiplication and shifting. The WC
and SC arranged as in Fig 4.
Proceedings of the International Conference on Emerging Trends in Engineering and Management (ICETEM14)
30 – 31, December 2014, Ernakulam, India
10
Fig 4: Auto Depannage ALU without any fault
4.1. Transient Fault
Transient fault or a temporary fault can recover by fault detection and correction unit itself.
4.2. Permanent Fault
Permanent fault corrupt the genome or its basic structure. Thus, it can recover by selecting
proper spare and isolates faulty cell. Consider the case of selecting addition operation. If there is no
fault in adder WC’s, the system continue it’s working in without using SCs as in Fig 4.
Fig 5: Permanent fault recovery by left SC
But when the adder 4 WC suffer by temporary fault, it will try to overcome by fault detection
and correction unit and retain it’s working condition. Sometimes it is not possible correct the fault,
due to permanent fault in genome. Thus the WC replaced by stem cells and also isolated the faulty
cell. Gene control layer generate corresponding signals according to the status of functional layer.
The following figures show fault recovery occurred in Auto Depannage ALU. If any permanent fault
occurs in WC ADD4, it will be replaced by its left stem cell and will isolate the faulty WC ADD4.
Thus recovered from fault and the normal operation continued as in Fig 5. When there is permanent
fault in left SC and WC ADD4 ,it is replaced by down stem cell as in Fig 6. If WC ADD4 and left &
down stem cell become fault, it is recovered by right stem cell as in Fig 7.
Proceedings of the International Conference on Emerging Trends in Engineering and Management (ICETEM14)
30 – 31, December 2014, Ernakulam, India
11
Fig 6: Permanent fault recovery by down SC Fig .7: Permanent fault recovery by right SC
Fig 8: Permanent fault recovery by top SC Fig 9: Permanent fault in adder 4 WC and its all SCs
If WC ADD4 and left, down and right stem cell become fault, it is recovered by top stem cell
as in Fig 8. Then if 4 SCs and its working cell WC ADD4 become fault, the one addition operation
module stops its working by isolating SCs as in Fig 9. Thus the adder 4 unit becomes fault.
4.3. Simultaneous Fault
There is a chance to occur simultaneous fault in this ALU. Here the Fig 10. shows the
simultaneous fault occurring in working cell of WC ADD3 and left stem cell of WC ADD4.SC for
both cell are same. In that case gene control layer assigns the next proper stem cell to WC ADD4,
that is its down cell, as in Fig 10. These are shows only several conditions of fault in adder cell.
Similarly it is possible to recover different kinds of faults in other functional modules in Auto
Depannage ALU .
Fig 10: Simultaneous fault recovery
Proceedings of the International Conference on Emerging Trends in Engineering and Management (ICETEM14)
30 – 31, December 2014, Ernakulam, India
12
Simulation Works
Fig 11: Simulation result of system after fault recovery
5. EXPERIMENTAL SETUP
The proposed system is embedded in a digital platform with an Xilinx Spartan 6
(XC6SLX45-3CSG 324) FPGA for the application of an ALU. Several cases of recovery from a
permanent fault and transient fault are demonstrated in the platform. To verify the system, push
switches, dual in-line package switches and LEDs used.
Fig 12: Autodepannage ALU
The switches denoted as case_modes indicate the fault injecting input switches corresponding
to each module. By selecting “case_mode,” switches generate a permanent or transient fault at the
corresponding modules. Output of ALU displayed on the LEDs. Working and SCs arranged as
shown in Fig 4. When the transient fault is detected, at the rising of the next clock faulty data
recovered to normal data and the system operates normally.
Proceedings of the International Conference on Emerging Trends in Engineering and Management (ICETEM14)
30 – 31, December 2014, Ernakulam, India
13
In permanent fault, the normal operation is maintained using spare cells. Fig.5 to Fig 10
shows the changed states of cells by the fault recovery after a fault is injected in cells. Here, the
system repairs the permanent fault in a counter clockwise sequence. However, if the fault is generate
in TS after a faulty RS is replaced by TS, the entire system stops operating because there is no SC
left for repair. The speed of the clock used for the recovery is much faster. Thus, the ALU can
operate normally after fault generation. Through various demonstrations, the proposed system
verified.
6. PERFORMANCE ANALYSIS WITH EXISTING APPROCHES
The main aim of the proposed Autodepannage architecture is to reduce the area, memory usage,
time delay and thereby increase scalability and accuracy. Xilinix ISE Design Suite 14.2 platform
provides a summary for logic utilization, time constraints and memory usage. By analysing the
graphs we can conclude that compare to existing self repair ALU, proposed Autodepannage ALU
reduce the area, memory usage, time delay.
Fig 13: Memory Usage
Fig 14: Timing analysis
Proceedings of the International Conference on Emerging Trends in Engineering and Management (ICETEM14)
30 – 31, December 2014, Ernakulam, India
14
Fig 15: Area Analysis
Here the Fig.13 shows proposed Auto Depannage ALU reduce in memory usage existing self
repair ALU. This will happen mainly due to the modified architecture of Fault detection and
correction. Timing Analysis shows in Fig.14, the proposed system reduces the total time delay. It is
the sum total of logic time and the routing time. The total time required to Auto Depannage ALU
got reduced. Area Analysis Fig 15 shows that the proposed system reduces the total area compared to
the existing one. These 3 Plots were drawn by analysing the design summary of both approaches
after synthesis
TABLE II: SUMMARY OF DIFFERENT APPROACHES
Approach Proposed system
Self-healing
system
MUX TREE
system
TMR
Number of WC N×N N×N N×N N×N
Number of
SC
(N+1)×
(N+1)
(N×N)/2 NXM 2×N×N
Number of hardware for
rerouting
__ (N×N)/2 N ×(N +M) __
Overhead (%)
100 × (1 + 2/N +
1/N)2%
100%
100 × (1 +
2M/N)%
200%
Simultaneous fault
coverage
N×N (N×N)/2 1 N×N
FFC 4 1 M 1
Necessary for rerouting NO YES YES NO
Proceedings of the International Conference on Emerging Trends in Engineering and Management (ICETEM14)
30 – 31, December 2014, Ernakulam, India
15
The proposed system was compared to other major self-repair approaches and it was found
that the proposed system has good fault coverage, low overhead, and no unutilized resources for fault
recovery. The results summarized in TABLE II.
7. CONCLUSION AND FUTURE SCOPE
The AutoDepannage digital system provides good scalability and fault coverage. New
architecture for the fault detection has less memory usage and more fault coverage. Furthermore, due
to the new architecture, the cells could be arranged in densely and flexible way, also the WC could
be expanded to any four directions. The exact control in the gene-control layer offers fault recovery
without collision. As a result, all these create the system efficient compare to other existing
approaches.
For further improvement of the proposed AutoDepannage system, there remain several issues
awaiting further studies. The primary goal of developing a fault tolerant or AutoDepannage system is
to deal with faults that can occur in the target system. Other faults that might occur in additional
hardware are not considered. Hence, the secondary faults that can occur in the additional functional
hardware should be considered as well in the consideration of the cost and frequency. This means
that addressing possible faults in the additional functional hardware remains as a topic for further
study.
ACKNOWLEDGMENT
I would like to acknowledge the support of the Department of Electronics and
Communication Engineering, SNGCE for technical facilities. I am thankful to our supervisors
Dr. S.P Namboothiri (H.O.D ECE, SNGCE) and Ms. Divya S. (Assistant Prof., SNGCE) for their
motivational support for carrying out this work. I am also grateful to my beloved guide,
Ms. Arathy Iyer R. (Assistant Prof., SNGCE), for her valuable contributions and encouragement
which make this work successful. Last but not the least; I humbly extend my gratitude to other
faculty, my friends and family, especially Ms. Ann Varghese, for her unending support. Above all, I
thank God Almighty for giving me strength, courage and blessings to complete this work.
REFERENCES
[1] Isaak Yang, Sung Hoon Jung, and Kwang-Hyun Cho,” Self Repairing Digital System With
Unified Recovery Process Inspired by Endocrine Cellular Communication”- IEEE
TRANSACTIONS ON VERY LARGE SCALE INTEGRATION (VLSI) SYSTEMS,
JUNE 2013
[2] M. Samie, G. Dragffy, and T. Pipe, “UNITRONICS: A novel bioinspired fault tolerant
cellular system,” in Proc. NASA/ESA Conf. Adapt.Hardw. Syst., Jun. 2011, pp. 58–65.
[3] M. Samie, G. Dragffy, and T. Pipe, “Bio-inspired self-test for evolvable fault tolerant
hardware systems,” in Proc. NASA/ESA Conf. Adapt.Hardw. Syst., Jun. 2010,
pp. 325–332.
[4] M. Samie, G. Dragffy, A. Popescu, T. Pipe, and C. Melhuish, “Prokaryotic bio-inspired
model for embryonics,” in Proc. NASA/ESA Conf.Adapt. Hardw. Syst., Jul.–Aug. 2009,
pp. 163–170.
[5] M. Samie, G. Dragffy, A. Popescu, T. Pipe, and J. Kiely, “Prokaryotic bio-inspired system,”
in Proc. NASA/ESA Conf. Adapt. Hardw. Syst., Jul.–Aug. 2009, pp. 171–178.
Proceedings of the International Conference on Emerging Trends in Engineering and Management (ICETEM14)
30 – 31, December 2014, Ernakulam, India
16
[6] W. Barker, D. M. Halliday, Y. Thoma, E. Sanchez, G. Tempesti, and A. M. Tyrrell, “Fault
tolerance using dynamic reconfiguration on the POEtic tissue,” IEEE Trans. Evol. Comput.,
vol. 11, no. 5, pp. 666–684, Oct. 2007.
[7] P. K. Lala, B. K. Kumar, and J. P. Parkerson, “On self-healing digital system design,”
Microelectron. J., vol. 37, no. 4, pp. 353–362, Apr. 2006.
[8] S. Mitra, N. Seifert, M. Zhang, Q. Shi, K. S. Kim, “Robust System Design with Built-In
Soft-Error Resilience,” Computer, vol. 38, no. 2, pp. 43-52, February 2005.
[9] A.J. Greensted and A.M.Tyrrell, “An endocrinologic-inspired hardware implementation of a
multicellular system,” in Proc. NASA/DoD Conf.Evolvable Hardw., 2004, pp. 245–252.
[10] X. Zhang, G. Dragffy, A. G. Pipe, N. Gunton, and Q. M. Zhu, “A reconfigurable self-
healing embryonic cell architecture,” in Proc. ERSA, Jun. 2003, pp. 134–140.
[11] P. K. Lala and B. K. Kumar, “An architecture for self-healing digital systems,” J. Electron.
Testing: Theory Appl., vol. 19, no. 5, pp. 523– 535, Oct. 2003.
[12] D. Mange, M. Sipper, A. Stauffer, and G. Tempesti, “Toward robust integrated circuits: The
embryonics approach,” Proc. IEEE, vol. 88,no. 4, pp. 516–541, Apr. 2000.
[13] D. Mange, E. Sanchez, A. Stauffer, G. Tempesti, P. Marchal, and C. Piguet, “Embryonics:
A new methodology for designing field programmable gate arrays with self-repair and self-
replicating properties,” IEEE Trans. Very Large Scale Integr. (VLSI) Syst., vol. 6, no. 3,
pp. 387–399, Sep. 1998.
[14] C. Ortega and A. Tyrrell, “Design of a basic cell to construct embryonic arrays,” IEE Proc.
Comput. Digital Tech., vol. 145, no. 3, pp. 242–248, May 1998.
[15] D. Mange, S. Durand, E. Sanckez, A. Stauffer, G. Tempesti, P. Marchal, and C. Piguet, “A
new paradigm for developing digital systems based on a multi-cellular organization,” in
Proc. IEEE Int. Symp. Circuits Syst.,vol. 3. Apr.–May 1995, pp. 2193–2196.
[16] Archanalakshmi K.S, Arathy Iyer,”Design of Auto Depannage digital system with efficent
fault coverage, ” IJARECE,Vol 3 Issue 9 September 2014, pp.1063-1068.
[17] Y.S.V.Raman, Dr S.Sri Gowri and Dr B.PrabhakaraRao, Performance Analysis of Cellular
System using Distributed Dynamic Channel Allocation”, International Journal of
Electronics and Communication Engineering & Technology (IJECET), Volume 3, Issue 1,
2012, pp. 147 - 153, ISSN Print: 0976- 6464, ISSN Online: 0976 –6472.

More Related Content

Similar to Auto depannage digital system with endocrine cellular communication

2012A8PS309P_AbhishekKumar_FinalReport
2012A8PS309P_AbhishekKumar_FinalReport2012A8PS309P_AbhishekKumar_FinalReport
2012A8PS309P_AbhishekKumar_FinalReportabhishekroushan
 
AUTOMATIC FAULT TOLERANCE USING SELF ADAPTIVE SYSTEM
AUTOMATIC FAULT TOLERANCE USING SELF ADAPTIVE SYSTEMAUTOMATIC FAULT TOLERANCE USING SELF ADAPTIVE SYSTEM
AUTOMATIC FAULT TOLERANCE USING SELF ADAPTIVE SYSTEMMichael George
 
Proposed Algorithm for Surveillance Applications
Proposed Algorithm for Surveillance ApplicationsProposed Algorithm for Surveillance Applications
Proposed Algorithm for Surveillance ApplicationsEditor IJCATR
 
Sensors and Actuators Integration in Embedded Systems
Sensors and Actuators Integration in Embedded SystemsSensors and Actuators Integration in Embedded Systems
Sensors and Actuators Integration in Embedded SystemsIDES Editor
 
Black Box Model based Self Healing Solution for Stuck at Faults in Digital Ci...
Black Box Model based Self Healing Solution for Stuck at Faults in Digital Ci...Black Box Model based Self Healing Solution for Stuck at Faults in Digital Ci...
Black Box Model based Self Healing Solution for Stuck at Faults in Digital Ci...IJECEIAES
 
International Journal of Computational Engineering Research(IJCER)
International Journal of Computational Engineering Research(IJCER)International Journal of Computational Engineering Research(IJCER)
International Journal of Computational Engineering Research(IJCER)ijceronline
 
Optimized sensor selection for control and fault tolerance of electromagnetic...
Optimized sensor selection for control and fault tolerance of electromagnetic...Optimized sensor selection for control and fault tolerance of electromagnetic...
Optimized sensor selection for control and fault tolerance of electromagnetic...ISA Interchange
 
Analysis and implementation of local modular supervisory control for
Analysis and implementation of local modular supervisory control forAnalysis and implementation of local modular supervisory control for
Analysis and implementation of local modular supervisory control forIAEME Publication
 
CONVOLUTIONAL NEURAL NETWORK BASED FEATURE EXTRACTION FOR IRIS RECOGNITION
CONVOLUTIONAL NEURAL NETWORK BASED FEATURE EXTRACTION FOR IRIS RECOGNITION CONVOLUTIONAL NEURAL NETWORK BASED FEATURE EXTRACTION FOR IRIS RECOGNITION
CONVOLUTIONAL NEURAL NETWORK BASED FEATURE EXTRACTION FOR IRIS RECOGNITION ijcsit
 
CONVOLUTIONAL NEURAL NETWORK BASED FEATURE EXTRACTION FOR IRIS RECOGNITION
CONVOLUTIONAL NEURAL NETWORK BASED FEATURE EXTRACTION FOR IRIS RECOGNITION CONVOLUTIONAL NEURAL NETWORK BASED FEATURE EXTRACTION FOR IRIS RECOGNITION
CONVOLUTIONAL NEURAL NETWORK BASED FEATURE EXTRACTION FOR IRIS RECOGNITION AIRCC Publishing Corporation
 
Differential Protection of Generator by Using Neural Network, Fuzzy Neural an...
Differential Protection of Generator by Using Neural Network, Fuzzy Neural an...Differential Protection of Generator by Using Neural Network, Fuzzy Neural an...
Differential Protection of Generator by Using Neural Network, Fuzzy Neural an...Waqas Tariq
 
Final Draft of Research Paper 1
Final Draft of Research Paper 1Final Draft of Research Paper 1
Final Draft of Research Paper 1Trevor Davis
 
Application of Neural Network for Cell Formation in Group Technology
Application of Neural Network for Cell Formation in Group  TechnologyApplication of Neural Network for Cell Formation in Group  Technology
Application of Neural Network for Cell Formation in Group TechnologyIJMER
 
ARTIFICIAL INTELLIGENCE IN POWER SYSTEMS
ARTIFICIAL INTELLIGENCE IN POWER SYSTEMSARTIFICIAL INTELLIGENCE IN POWER SYSTEMS
ARTIFICIAL INTELLIGENCE IN POWER SYSTEMSvivatechijri
 
Automatic Fault Detection System with IOT Based
Automatic Fault Detection System with IOT BasedAutomatic Fault Detection System with IOT Based
Automatic Fault Detection System with IOT BasedYogeshIJTSRD
 
A BIST GENERATOR CAD TOOL FOR NUMERIC INTEGRATED CIRCUITS
A BIST GENERATOR CAD TOOL FOR NUMERIC INTEGRATED CIRCUITSA BIST GENERATOR CAD TOOL FOR NUMERIC INTEGRATED CIRCUITS
A BIST GENERATOR CAD TOOL FOR NUMERIC INTEGRATED CIRCUITSVLSICS Design
 

Similar to Auto depannage digital system with endocrine cellular communication (20)

2012A8PS309P_AbhishekKumar_FinalReport
2012A8PS309P_AbhishekKumar_FinalReport2012A8PS309P_AbhishekKumar_FinalReport
2012A8PS309P_AbhishekKumar_FinalReport
 
AUTOMATIC FAULT TOLERANCE USING SELF ADAPTIVE SYSTEM
AUTOMATIC FAULT TOLERANCE USING SELF ADAPTIVE SYSTEMAUTOMATIC FAULT TOLERANCE USING SELF ADAPTIVE SYSTEM
AUTOMATIC FAULT TOLERANCE USING SELF ADAPTIVE SYSTEM
 
Proposed Algorithm for Surveillance Applications
Proposed Algorithm for Surveillance ApplicationsProposed Algorithm for Surveillance Applications
Proposed Algorithm for Surveillance Applications
 
Sensors and Actuators Integration in Embedded Systems
Sensors and Actuators Integration in Embedded SystemsSensors and Actuators Integration in Embedded Systems
Sensors and Actuators Integration in Embedded Systems
 
Sensor Fault Detection and Isolation Based on Artificial Neural Networks and ...
Sensor Fault Detection and Isolation Based on Artificial Neural Networks and ...Sensor Fault Detection and Isolation Based on Artificial Neural Networks and ...
Sensor Fault Detection and Isolation Based on Artificial Neural Networks and ...
 
Black Box Model based Self Healing Solution for Stuck at Faults in Digital Ci...
Black Box Model based Self Healing Solution for Stuck at Faults in Digital Ci...Black Box Model based Self Healing Solution for Stuck at Faults in Digital Ci...
Black Box Model based Self Healing Solution for Stuck at Faults in Digital Ci...
 
International Journal of Computational Engineering Research(IJCER)
International Journal of Computational Engineering Research(IJCER)International Journal of Computational Engineering Research(IJCER)
International Journal of Computational Engineering Research(IJCER)
 
Optimized sensor selection for control and fault tolerance of electromagnetic...
Optimized sensor selection for control and fault tolerance of electromagnetic...Optimized sensor selection for control and fault tolerance of electromagnetic...
Optimized sensor selection for control and fault tolerance of electromagnetic...
 
E04702056061
E04702056061E04702056061
E04702056061
 
Analysis and implementation of local modular supervisory control for
Analysis and implementation of local modular supervisory control forAnalysis and implementation of local modular supervisory control for
Analysis and implementation of local modular supervisory control for
 
CONVOLUTIONAL NEURAL NETWORK BASED FEATURE EXTRACTION FOR IRIS RECOGNITION
CONVOLUTIONAL NEURAL NETWORK BASED FEATURE EXTRACTION FOR IRIS RECOGNITION CONVOLUTIONAL NEURAL NETWORK BASED FEATURE EXTRACTION FOR IRIS RECOGNITION
CONVOLUTIONAL NEURAL NETWORK BASED FEATURE EXTRACTION FOR IRIS RECOGNITION
 
CONVOLUTIONAL NEURAL NETWORK BASED FEATURE EXTRACTION FOR IRIS RECOGNITION
CONVOLUTIONAL NEURAL NETWORK BASED FEATURE EXTRACTION FOR IRIS RECOGNITION CONVOLUTIONAL NEURAL NETWORK BASED FEATURE EXTRACTION FOR IRIS RECOGNITION
CONVOLUTIONAL NEURAL NETWORK BASED FEATURE EXTRACTION FOR IRIS RECOGNITION
 
40220130405010 2-3
40220130405010 2-340220130405010 2-3
40220130405010 2-3
 
Differential Protection of Generator by Using Neural Network, Fuzzy Neural an...
Differential Protection of Generator by Using Neural Network, Fuzzy Neural an...Differential Protection of Generator by Using Neural Network, Fuzzy Neural an...
Differential Protection of Generator by Using Neural Network, Fuzzy Neural an...
 
Final Draft of Research Paper 1
Final Draft of Research Paper 1Final Draft of Research Paper 1
Final Draft of Research Paper 1
 
neural-control-drone
neural-control-droneneural-control-drone
neural-control-drone
 
Application of Neural Network for Cell Formation in Group Technology
Application of Neural Network for Cell Formation in Group  TechnologyApplication of Neural Network for Cell Formation in Group  Technology
Application of Neural Network for Cell Formation in Group Technology
 
ARTIFICIAL INTELLIGENCE IN POWER SYSTEMS
ARTIFICIAL INTELLIGENCE IN POWER SYSTEMSARTIFICIAL INTELLIGENCE IN POWER SYSTEMS
ARTIFICIAL INTELLIGENCE IN POWER SYSTEMS
 
Automatic Fault Detection System with IOT Based
Automatic Fault Detection System with IOT BasedAutomatic Fault Detection System with IOT Based
Automatic Fault Detection System with IOT Based
 
A BIST GENERATOR CAD TOOL FOR NUMERIC INTEGRATED CIRCUITS
A BIST GENERATOR CAD TOOL FOR NUMERIC INTEGRATED CIRCUITSA BIST GENERATOR CAD TOOL FOR NUMERIC INTEGRATED CIRCUITS
A BIST GENERATOR CAD TOOL FOR NUMERIC INTEGRATED CIRCUITS
 

More from IAEME Publication

IAEME_Publication_Call_for_Paper_September_2022.pdf
IAEME_Publication_Call_for_Paper_September_2022.pdfIAEME_Publication_Call_for_Paper_September_2022.pdf
IAEME_Publication_Call_for_Paper_September_2022.pdfIAEME Publication
 
MODELING AND ANALYSIS OF SURFACE ROUGHNESS AND WHITE LATER THICKNESS IN WIRE-...
MODELING AND ANALYSIS OF SURFACE ROUGHNESS AND WHITE LATER THICKNESS IN WIRE-...MODELING AND ANALYSIS OF SURFACE ROUGHNESS AND WHITE LATER THICKNESS IN WIRE-...
MODELING AND ANALYSIS OF SURFACE ROUGHNESS AND WHITE LATER THICKNESS IN WIRE-...IAEME Publication
 
A STUDY ON THE REASONS FOR TRANSGENDER TO BECOME ENTREPRENEURS
A STUDY ON THE REASONS FOR TRANSGENDER TO BECOME ENTREPRENEURSA STUDY ON THE REASONS FOR TRANSGENDER TO BECOME ENTREPRENEURS
A STUDY ON THE REASONS FOR TRANSGENDER TO BECOME ENTREPRENEURSIAEME Publication
 
BROAD UNEXPOSED SKILLS OF TRANSGENDER ENTREPRENEURS
BROAD UNEXPOSED SKILLS OF TRANSGENDER ENTREPRENEURSBROAD UNEXPOSED SKILLS OF TRANSGENDER ENTREPRENEURS
BROAD UNEXPOSED SKILLS OF TRANSGENDER ENTREPRENEURSIAEME Publication
 
DETERMINANTS AFFECTING THE USER'S INTENTION TO USE MOBILE BANKING APPLICATIONS
DETERMINANTS AFFECTING THE USER'S INTENTION TO USE MOBILE BANKING APPLICATIONSDETERMINANTS AFFECTING THE USER'S INTENTION TO USE MOBILE BANKING APPLICATIONS
DETERMINANTS AFFECTING THE USER'S INTENTION TO USE MOBILE BANKING APPLICATIONSIAEME Publication
 
ANALYSE THE USER PREDILECTION ON GPAY AND PHONEPE FOR DIGITAL TRANSACTIONS
ANALYSE THE USER PREDILECTION ON GPAY AND PHONEPE FOR DIGITAL TRANSACTIONSANALYSE THE USER PREDILECTION ON GPAY AND PHONEPE FOR DIGITAL TRANSACTIONS
ANALYSE THE USER PREDILECTION ON GPAY AND PHONEPE FOR DIGITAL TRANSACTIONSIAEME Publication
 
VOICE BASED ATM FOR VISUALLY IMPAIRED USING ARDUINO
VOICE BASED ATM FOR VISUALLY IMPAIRED USING ARDUINOVOICE BASED ATM FOR VISUALLY IMPAIRED USING ARDUINO
VOICE BASED ATM FOR VISUALLY IMPAIRED USING ARDUINOIAEME Publication
 
IMPACT OF EMOTIONAL INTELLIGENCE ON HUMAN RESOURCE MANAGEMENT PRACTICES AMONG...
IMPACT OF EMOTIONAL INTELLIGENCE ON HUMAN RESOURCE MANAGEMENT PRACTICES AMONG...IMPACT OF EMOTIONAL INTELLIGENCE ON HUMAN RESOURCE MANAGEMENT PRACTICES AMONG...
IMPACT OF EMOTIONAL INTELLIGENCE ON HUMAN RESOURCE MANAGEMENT PRACTICES AMONG...IAEME Publication
 
VISUALISING AGING PARENTS & THEIR CLOSE CARERS LIFE JOURNEY IN AGING ECONOMY
VISUALISING AGING PARENTS & THEIR CLOSE CARERS LIFE JOURNEY IN AGING ECONOMYVISUALISING AGING PARENTS & THEIR CLOSE CARERS LIFE JOURNEY IN AGING ECONOMY
VISUALISING AGING PARENTS & THEIR CLOSE CARERS LIFE JOURNEY IN AGING ECONOMYIAEME Publication
 
A STUDY ON THE IMPACT OF ORGANIZATIONAL CULTURE ON THE EFFECTIVENESS OF PERFO...
A STUDY ON THE IMPACT OF ORGANIZATIONAL CULTURE ON THE EFFECTIVENESS OF PERFO...A STUDY ON THE IMPACT OF ORGANIZATIONAL CULTURE ON THE EFFECTIVENESS OF PERFO...
A STUDY ON THE IMPACT OF ORGANIZATIONAL CULTURE ON THE EFFECTIVENESS OF PERFO...IAEME Publication
 
GANDHI ON NON-VIOLENT POLICE
GANDHI ON NON-VIOLENT POLICEGANDHI ON NON-VIOLENT POLICE
GANDHI ON NON-VIOLENT POLICEIAEME Publication
 
A STUDY ON TALENT MANAGEMENT AND ITS IMPACT ON EMPLOYEE RETENTION IN SELECTED...
A STUDY ON TALENT MANAGEMENT AND ITS IMPACT ON EMPLOYEE RETENTION IN SELECTED...A STUDY ON TALENT MANAGEMENT AND ITS IMPACT ON EMPLOYEE RETENTION IN SELECTED...
A STUDY ON TALENT MANAGEMENT AND ITS IMPACT ON EMPLOYEE RETENTION IN SELECTED...IAEME Publication
 
ATTRITION IN THE IT INDUSTRY DURING COVID-19 PANDEMIC: LINKING EMOTIONAL INTE...
ATTRITION IN THE IT INDUSTRY DURING COVID-19 PANDEMIC: LINKING EMOTIONAL INTE...ATTRITION IN THE IT INDUSTRY DURING COVID-19 PANDEMIC: LINKING EMOTIONAL INTE...
ATTRITION IN THE IT INDUSTRY DURING COVID-19 PANDEMIC: LINKING EMOTIONAL INTE...IAEME Publication
 
INFLUENCE OF TALENT MANAGEMENT PRACTICES ON ORGANIZATIONAL PERFORMANCE A STUD...
INFLUENCE OF TALENT MANAGEMENT PRACTICES ON ORGANIZATIONAL PERFORMANCE A STUD...INFLUENCE OF TALENT MANAGEMENT PRACTICES ON ORGANIZATIONAL PERFORMANCE A STUD...
INFLUENCE OF TALENT MANAGEMENT PRACTICES ON ORGANIZATIONAL PERFORMANCE A STUD...IAEME Publication
 
A STUDY OF VARIOUS TYPES OF LOANS OF SELECTED PUBLIC AND PRIVATE SECTOR BANKS...
A STUDY OF VARIOUS TYPES OF LOANS OF SELECTED PUBLIC AND PRIVATE SECTOR BANKS...A STUDY OF VARIOUS TYPES OF LOANS OF SELECTED PUBLIC AND PRIVATE SECTOR BANKS...
A STUDY OF VARIOUS TYPES OF LOANS OF SELECTED PUBLIC AND PRIVATE SECTOR BANKS...IAEME Publication
 
EXPERIMENTAL STUDY OF MECHANICAL AND TRIBOLOGICAL RELATION OF NYLON/BaSO4 POL...
EXPERIMENTAL STUDY OF MECHANICAL AND TRIBOLOGICAL RELATION OF NYLON/BaSO4 POL...EXPERIMENTAL STUDY OF MECHANICAL AND TRIBOLOGICAL RELATION OF NYLON/BaSO4 POL...
EXPERIMENTAL STUDY OF MECHANICAL AND TRIBOLOGICAL RELATION OF NYLON/BaSO4 POL...IAEME Publication
 
ROLE OF SOCIAL ENTREPRENEURSHIP IN RURAL DEVELOPMENT OF INDIA - PROBLEMS AND ...
ROLE OF SOCIAL ENTREPRENEURSHIP IN RURAL DEVELOPMENT OF INDIA - PROBLEMS AND ...ROLE OF SOCIAL ENTREPRENEURSHIP IN RURAL DEVELOPMENT OF INDIA - PROBLEMS AND ...
ROLE OF SOCIAL ENTREPRENEURSHIP IN RURAL DEVELOPMENT OF INDIA - PROBLEMS AND ...IAEME Publication
 
OPTIMAL RECONFIGURATION OF POWER DISTRIBUTION RADIAL NETWORK USING HYBRID MET...
OPTIMAL RECONFIGURATION OF POWER DISTRIBUTION RADIAL NETWORK USING HYBRID MET...OPTIMAL RECONFIGURATION OF POWER DISTRIBUTION RADIAL NETWORK USING HYBRID MET...
OPTIMAL RECONFIGURATION OF POWER DISTRIBUTION RADIAL NETWORK USING HYBRID MET...IAEME Publication
 
APPLICATION OF FRUGAL APPROACH FOR PRODUCTIVITY IMPROVEMENT - A CASE STUDY OF...
APPLICATION OF FRUGAL APPROACH FOR PRODUCTIVITY IMPROVEMENT - A CASE STUDY OF...APPLICATION OF FRUGAL APPROACH FOR PRODUCTIVITY IMPROVEMENT - A CASE STUDY OF...
APPLICATION OF FRUGAL APPROACH FOR PRODUCTIVITY IMPROVEMENT - A CASE STUDY OF...IAEME Publication
 
A MULTIPLE – CHANNEL QUEUING MODELS ON FUZZY ENVIRONMENT
A MULTIPLE – CHANNEL QUEUING MODELS ON FUZZY ENVIRONMENTA MULTIPLE – CHANNEL QUEUING MODELS ON FUZZY ENVIRONMENT
A MULTIPLE – CHANNEL QUEUING MODELS ON FUZZY ENVIRONMENTIAEME Publication
 

More from IAEME Publication (20)

IAEME_Publication_Call_for_Paper_September_2022.pdf
IAEME_Publication_Call_for_Paper_September_2022.pdfIAEME_Publication_Call_for_Paper_September_2022.pdf
IAEME_Publication_Call_for_Paper_September_2022.pdf
 
MODELING AND ANALYSIS OF SURFACE ROUGHNESS AND WHITE LATER THICKNESS IN WIRE-...
MODELING AND ANALYSIS OF SURFACE ROUGHNESS AND WHITE LATER THICKNESS IN WIRE-...MODELING AND ANALYSIS OF SURFACE ROUGHNESS AND WHITE LATER THICKNESS IN WIRE-...
MODELING AND ANALYSIS OF SURFACE ROUGHNESS AND WHITE LATER THICKNESS IN WIRE-...
 
A STUDY ON THE REASONS FOR TRANSGENDER TO BECOME ENTREPRENEURS
A STUDY ON THE REASONS FOR TRANSGENDER TO BECOME ENTREPRENEURSA STUDY ON THE REASONS FOR TRANSGENDER TO BECOME ENTREPRENEURS
A STUDY ON THE REASONS FOR TRANSGENDER TO BECOME ENTREPRENEURS
 
BROAD UNEXPOSED SKILLS OF TRANSGENDER ENTREPRENEURS
BROAD UNEXPOSED SKILLS OF TRANSGENDER ENTREPRENEURSBROAD UNEXPOSED SKILLS OF TRANSGENDER ENTREPRENEURS
BROAD UNEXPOSED SKILLS OF TRANSGENDER ENTREPRENEURS
 
DETERMINANTS AFFECTING THE USER'S INTENTION TO USE MOBILE BANKING APPLICATIONS
DETERMINANTS AFFECTING THE USER'S INTENTION TO USE MOBILE BANKING APPLICATIONSDETERMINANTS AFFECTING THE USER'S INTENTION TO USE MOBILE BANKING APPLICATIONS
DETERMINANTS AFFECTING THE USER'S INTENTION TO USE MOBILE BANKING APPLICATIONS
 
ANALYSE THE USER PREDILECTION ON GPAY AND PHONEPE FOR DIGITAL TRANSACTIONS
ANALYSE THE USER PREDILECTION ON GPAY AND PHONEPE FOR DIGITAL TRANSACTIONSANALYSE THE USER PREDILECTION ON GPAY AND PHONEPE FOR DIGITAL TRANSACTIONS
ANALYSE THE USER PREDILECTION ON GPAY AND PHONEPE FOR DIGITAL TRANSACTIONS
 
VOICE BASED ATM FOR VISUALLY IMPAIRED USING ARDUINO
VOICE BASED ATM FOR VISUALLY IMPAIRED USING ARDUINOVOICE BASED ATM FOR VISUALLY IMPAIRED USING ARDUINO
VOICE BASED ATM FOR VISUALLY IMPAIRED USING ARDUINO
 
IMPACT OF EMOTIONAL INTELLIGENCE ON HUMAN RESOURCE MANAGEMENT PRACTICES AMONG...
IMPACT OF EMOTIONAL INTELLIGENCE ON HUMAN RESOURCE MANAGEMENT PRACTICES AMONG...IMPACT OF EMOTIONAL INTELLIGENCE ON HUMAN RESOURCE MANAGEMENT PRACTICES AMONG...
IMPACT OF EMOTIONAL INTELLIGENCE ON HUMAN RESOURCE MANAGEMENT PRACTICES AMONG...
 
VISUALISING AGING PARENTS & THEIR CLOSE CARERS LIFE JOURNEY IN AGING ECONOMY
VISUALISING AGING PARENTS & THEIR CLOSE CARERS LIFE JOURNEY IN AGING ECONOMYVISUALISING AGING PARENTS & THEIR CLOSE CARERS LIFE JOURNEY IN AGING ECONOMY
VISUALISING AGING PARENTS & THEIR CLOSE CARERS LIFE JOURNEY IN AGING ECONOMY
 
A STUDY ON THE IMPACT OF ORGANIZATIONAL CULTURE ON THE EFFECTIVENESS OF PERFO...
A STUDY ON THE IMPACT OF ORGANIZATIONAL CULTURE ON THE EFFECTIVENESS OF PERFO...A STUDY ON THE IMPACT OF ORGANIZATIONAL CULTURE ON THE EFFECTIVENESS OF PERFO...
A STUDY ON THE IMPACT OF ORGANIZATIONAL CULTURE ON THE EFFECTIVENESS OF PERFO...
 
GANDHI ON NON-VIOLENT POLICE
GANDHI ON NON-VIOLENT POLICEGANDHI ON NON-VIOLENT POLICE
GANDHI ON NON-VIOLENT POLICE
 
A STUDY ON TALENT MANAGEMENT AND ITS IMPACT ON EMPLOYEE RETENTION IN SELECTED...
A STUDY ON TALENT MANAGEMENT AND ITS IMPACT ON EMPLOYEE RETENTION IN SELECTED...A STUDY ON TALENT MANAGEMENT AND ITS IMPACT ON EMPLOYEE RETENTION IN SELECTED...
A STUDY ON TALENT MANAGEMENT AND ITS IMPACT ON EMPLOYEE RETENTION IN SELECTED...
 
ATTRITION IN THE IT INDUSTRY DURING COVID-19 PANDEMIC: LINKING EMOTIONAL INTE...
ATTRITION IN THE IT INDUSTRY DURING COVID-19 PANDEMIC: LINKING EMOTIONAL INTE...ATTRITION IN THE IT INDUSTRY DURING COVID-19 PANDEMIC: LINKING EMOTIONAL INTE...
ATTRITION IN THE IT INDUSTRY DURING COVID-19 PANDEMIC: LINKING EMOTIONAL INTE...
 
INFLUENCE OF TALENT MANAGEMENT PRACTICES ON ORGANIZATIONAL PERFORMANCE A STUD...
INFLUENCE OF TALENT MANAGEMENT PRACTICES ON ORGANIZATIONAL PERFORMANCE A STUD...INFLUENCE OF TALENT MANAGEMENT PRACTICES ON ORGANIZATIONAL PERFORMANCE A STUD...
INFLUENCE OF TALENT MANAGEMENT PRACTICES ON ORGANIZATIONAL PERFORMANCE A STUD...
 
A STUDY OF VARIOUS TYPES OF LOANS OF SELECTED PUBLIC AND PRIVATE SECTOR BANKS...
A STUDY OF VARIOUS TYPES OF LOANS OF SELECTED PUBLIC AND PRIVATE SECTOR BANKS...A STUDY OF VARIOUS TYPES OF LOANS OF SELECTED PUBLIC AND PRIVATE SECTOR BANKS...
A STUDY OF VARIOUS TYPES OF LOANS OF SELECTED PUBLIC AND PRIVATE SECTOR BANKS...
 
EXPERIMENTAL STUDY OF MECHANICAL AND TRIBOLOGICAL RELATION OF NYLON/BaSO4 POL...
EXPERIMENTAL STUDY OF MECHANICAL AND TRIBOLOGICAL RELATION OF NYLON/BaSO4 POL...EXPERIMENTAL STUDY OF MECHANICAL AND TRIBOLOGICAL RELATION OF NYLON/BaSO4 POL...
EXPERIMENTAL STUDY OF MECHANICAL AND TRIBOLOGICAL RELATION OF NYLON/BaSO4 POL...
 
ROLE OF SOCIAL ENTREPRENEURSHIP IN RURAL DEVELOPMENT OF INDIA - PROBLEMS AND ...
ROLE OF SOCIAL ENTREPRENEURSHIP IN RURAL DEVELOPMENT OF INDIA - PROBLEMS AND ...ROLE OF SOCIAL ENTREPRENEURSHIP IN RURAL DEVELOPMENT OF INDIA - PROBLEMS AND ...
ROLE OF SOCIAL ENTREPRENEURSHIP IN RURAL DEVELOPMENT OF INDIA - PROBLEMS AND ...
 
OPTIMAL RECONFIGURATION OF POWER DISTRIBUTION RADIAL NETWORK USING HYBRID MET...
OPTIMAL RECONFIGURATION OF POWER DISTRIBUTION RADIAL NETWORK USING HYBRID MET...OPTIMAL RECONFIGURATION OF POWER DISTRIBUTION RADIAL NETWORK USING HYBRID MET...
OPTIMAL RECONFIGURATION OF POWER DISTRIBUTION RADIAL NETWORK USING HYBRID MET...
 
APPLICATION OF FRUGAL APPROACH FOR PRODUCTIVITY IMPROVEMENT - A CASE STUDY OF...
APPLICATION OF FRUGAL APPROACH FOR PRODUCTIVITY IMPROVEMENT - A CASE STUDY OF...APPLICATION OF FRUGAL APPROACH FOR PRODUCTIVITY IMPROVEMENT - A CASE STUDY OF...
APPLICATION OF FRUGAL APPROACH FOR PRODUCTIVITY IMPROVEMENT - A CASE STUDY OF...
 
A MULTIPLE – CHANNEL QUEUING MODELS ON FUZZY ENVIRONMENT
A MULTIPLE – CHANNEL QUEUING MODELS ON FUZZY ENVIRONMENTA MULTIPLE – CHANNEL QUEUING MODELS ON FUZZY ENVIRONMENT
A MULTIPLE – CHANNEL QUEUING MODELS ON FUZZY ENVIRONMENT
 

Recently uploaded

Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...Jeffrey Haguewood
 
DEV meet-up UiPath Document Understanding May 7 2024 Amsterdam
DEV meet-up UiPath Document Understanding May 7 2024 AmsterdamDEV meet-up UiPath Document Understanding May 7 2024 Amsterdam
DEV meet-up UiPath Document Understanding May 7 2024 AmsterdamUiPathCommunity
 
Platformless Horizons for Digital Adaptability
Platformless Horizons for Digital AdaptabilityPlatformless Horizons for Digital Adaptability
Platformless Horizons for Digital AdaptabilityWSO2
 
MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024MIND CTI
 
Design and Development of a Provenance Capture Platform for Data Science
Design and Development of a Provenance Capture Platform for Data ScienceDesign and Development of a Provenance Capture Platform for Data Science
Design and Development of a Provenance Capture Platform for Data SciencePaolo Missier
 
"I see eyes in my soup": How Delivery Hero implemented the safety system for ...
"I see eyes in my soup": How Delivery Hero implemented the safety system for ..."I see eyes in my soup": How Delivery Hero implemented the safety system for ...
"I see eyes in my soup": How Delivery Hero implemented the safety system for ...Zilliz
 
TEST BANK For Principles of Anatomy and Physiology, 16th Edition by Gerard J....
TEST BANK For Principles of Anatomy and Physiology, 16th Edition by Gerard J....TEST BANK For Principles of Anatomy and Physiology, 16th Edition by Gerard J....
TEST BANK For Principles of Anatomy and Physiology, 16th Edition by Gerard J....rightmanforbloodline
 
AI+A11Y 11MAY2024 HYDERBAD GAAD 2024 - HelloA11Y (11 May 2024)
AI+A11Y 11MAY2024 HYDERBAD GAAD 2024 - HelloA11Y (11 May 2024)AI+A11Y 11MAY2024 HYDERBAD GAAD 2024 - HelloA11Y (11 May 2024)
AI+A11Y 11MAY2024 HYDERBAD GAAD 2024 - HelloA11Y (11 May 2024)Samir Dash
 
Introduction to use of FHIR Documents in ABDM
Introduction to use of FHIR Documents in ABDMIntroduction to use of FHIR Documents in ABDM
Introduction to use of FHIR Documents in ABDMKumar Satyam
 
Intro to Passkeys and the State of Passwordless.pptx
Intro to Passkeys and the State of Passwordless.pptxIntro to Passkeys and the State of Passwordless.pptx
Intro to Passkeys and the State of Passwordless.pptxFIDO Alliance
 
Design Guidelines for Passkeys 2024.pptx
Design Guidelines for Passkeys 2024.pptxDesign Guidelines for Passkeys 2024.pptx
Design Guidelines for Passkeys 2024.pptxFIDO Alliance
 
CNIC Information System with Pakdata Cf In Pakistan
CNIC Information System with Pakdata Cf In PakistanCNIC Information System with Pakdata Cf In Pakistan
CNIC Information System with Pakdata Cf In Pakistandanishmna97
 
TrustArc Webinar - Unified Trust Center for Privacy, Security, Compliance, an...
TrustArc Webinar - Unified Trust Center for Privacy, Security, Compliance, an...TrustArc Webinar - Unified Trust Center for Privacy, Security, Compliance, an...
TrustArc Webinar - Unified Trust Center for Privacy, Security, Compliance, an...TrustArc
 
How to Check CNIC Information Online with Pakdata cf
How to Check CNIC Information Online with Pakdata cfHow to Check CNIC Information Online with Pakdata cf
How to Check CNIC Information Online with Pakdata cfdanishmna97
 
JavaScript Usage Statistics 2024 - The Ultimate Guide
JavaScript Usage Statistics 2024 - The Ultimate GuideJavaScript Usage Statistics 2024 - The Ultimate Guide
JavaScript Usage Statistics 2024 - The Ultimate GuidePixlogix Infotech
 
WSO2's API Vision: Unifying Control, Empowering Developers
WSO2's API Vision: Unifying Control, Empowering DevelopersWSO2's API Vision: Unifying Control, Empowering Developers
WSO2's API Vision: Unifying Control, Empowering DevelopersWSO2
 
Top 10 CodeIgniter Development Companies
Top 10 CodeIgniter Development CompaniesTop 10 CodeIgniter Development Companies
Top 10 CodeIgniter Development CompaniesTopCSSGallery
 
ADP Passwordless Journey Case Study.pptx
ADP Passwordless Journey Case Study.pptxADP Passwordless Journey Case Study.pptx
ADP Passwordless Journey Case Study.pptxFIDO Alliance
 
Why Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire businessWhy Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire businesspanagenda
 

Recently uploaded (20)

Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
 
DEV meet-up UiPath Document Understanding May 7 2024 Amsterdam
DEV meet-up UiPath Document Understanding May 7 2024 AmsterdamDEV meet-up UiPath Document Understanding May 7 2024 Amsterdam
DEV meet-up UiPath Document Understanding May 7 2024 Amsterdam
 
Platformless Horizons for Digital Adaptability
Platformless Horizons for Digital AdaptabilityPlatformless Horizons for Digital Adaptability
Platformless Horizons for Digital Adaptability
 
MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024
 
Design and Development of a Provenance Capture Platform for Data Science
Design and Development of a Provenance Capture Platform for Data ScienceDesign and Development of a Provenance Capture Platform for Data Science
Design and Development of a Provenance Capture Platform for Data Science
 
"I see eyes in my soup": How Delivery Hero implemented the safety system for ...
"I see eyes in my soup": How Delivery Hero implemented the safety system for ..."I see eyes in my soup": How Delivery Hero implemented the safety system for ...
"I see eyes in my soup": How Delivery Hero implemented the safety system for ...
 
TEST BANK For Principles of Anatomy and Physiology, 16th Edition by Gerard J....
TEST BANK For Principles of Anatomy and Physiology, 16th Edition by Gerard J....TEST BANK For Principles of Anatomy and Physiology, 16th Edition by Gerard J....
TEST BANK For Principles of Anatomy and Physiology, 16th Edition by Gerard J....
 
AI+A11Y 11MAY2024 HYDERBAD GAAD 2024 - HelloA11Y (11 May 2024)
AI+A11Y 11MAY2024 HYDERBAD GAAD 2024 - HelloA11Y (11 May 2024)AI+A11Y 11MAY2024 HYDERBAD GAAD 2024 - HelloA11Y (11 May 2024)
AI+A11Y 11MAY2024 HYDERBAD GAAD 2024 - HelloA11Y (11 May 2024)
 
Introduction to use of FHIR Documents in ABDM
Introduction to use of FHIR Documents in ABDMIntroduction to use of FHIR Documents in ABDM
Introduction to use of FHIR Documents in ABDM
 
Intro to Passkeys and the State of Passwordless.pptx
Intro to Passkeys and the State of Passwordless.pptxIntro to Passkeys and the State of Passwordless.pptx
Intro to Passkeys and the State of Passwordless.pptx
 
Design Guidelines for Passkeys 2024.pptx
Design Guidelines for Passkeys 2024.pptxDesign Guidelines for Passkeys 2024.pptx
Design Guidelines for Passkeys 2024.pptx
 
CNIC Information System with Pakdata Cf In Pakistan
CNIC Information System with Pakdata Cf In PakistanCNIC Information System with Pakdata Cf In Pakistan
CNIC Information System with Pakdata Cf In Pakistan
 
TrustArc Webinar - Unified Trust Center for Privacy, Security, Compliance, an...
TrustArc Webinar - Unified Trust Center for Privacy, Security, Compliance, an...TrustArc Webinar - Unified Trust Center for Privacy, Security, Compliance, an...
TrustArc Webinar - Unified Trust Center for Privacy, Security, Compliance, an...
 
How to Check CNIC Information Online with Pakdata cf
How to Check CNIC Information Online with Pakdata cfHow to Check CNIC Information Online with Pakdata cf
How to Check CNIC Information Online with Pakdata cf
 
JavaScript Usage Statistics 2024 - The Ultimate Guide
JavaScript Usage Statistics 2024 - The Ultimate GuideJavaScript Usage Statistics 2024 - The Ultimate Guide
JavaScript Usage Statistics 2024 - The Ultimate Guide
 
WSO2's API Vision: Unifying Control, Empowering Developers
WSO2's API Vision: Unifying Control, Empowering DevelopersWSO2's API Vision: Unifying Control, Empowering Developers
WSO2's API Vision: Unifying Control, Empowering Developers
 
Top 10 CodeIgniter Development Companies
Top 10 CodeIgniter Development CompaniesTop 10 CodeIgniter Development Companies
Top 10 CodeIgniter Development Companies
 
ADP Passwordless Journey Case Study.pptx
ADP Passwordless Journey Case Study.pptxADP Passwordless Journey Case Study.pptx
ADP Passwordless Journey Case Study.pptx
 
Understanding the FAA Part 107 License ..
Understanding the FAA Part 107 License ..Understanding the FAA Part 107 License ..
Understanding the FAA Part 107 License ..
 
Why Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire businessWhy Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire business
 

Auto depannage digital system with endocrine cellular communication

  • 1. Proceedings of the International Conference on Emerging Trends in Engineering and Management (ICETEM14) 30 – 31, December 2014, Ernakulam, India 6 AUTO DEPANNAGE DIGITAL SYSTEM WITH ENDOCRINE CELLULAR COMMUNICATION Archanalakshmi K.S1 , Arathy Iyer2 1 M.Tech VLSI & Embedded Systems, ECE, SNGCE, Ernakulam, India 2 Assistant Professor, ECE, SNGCE, Ernakulam, India ABSTRACT Auto Depannage digital system offers the most promising automatically fault recovering bio- inspired model for digital circuits. In this paper, biological concept translates into hardware and finds an equivalent concept in the world of silicon. Adopting the endocrine cellular communication, the proposed system isolates the faulty cells and replaces with proper spare cell. The rerouting process simplifies by reducing the hardware overhead beside with the growing size of the circuit. Also reducing the unutilized hardware for fault recovery while sustaining good fault-coverage.There are already several available approaches that can replace a faulty module by embedding the same encoded data of the faulty module into the stem module, but none of them can preserve the function and connections through single-step embedding as proposed in this paper. Moreover, the other existing systems require huge amount of hardware for such an operation. The modules involved in this mechanism are distributed and operated in parallel; therefore, simultaneous fault can be recovered easily. Also, it can preserve the state and function that exist just before the fault occurs in the system. The whole system is embedded in FPGA and it is verified that normal operation is sustained even after several kinds of faults were injected as input. Keywords: Depannage, Dynamic routing, Gene Control Layer, Stem Cell, Working Cell. 1. INTRODUCTION The world of electronic circuit always faces an issue of fault infuriation even if they provide good performance. A single fault may cause the entire system useless. In critical applications, fault infuriation plays a major role in system performance, and they need efficient fault recovery method to maintain normal state. In the early stages, conventional methods like DMR and TMR were used, but they offered less fault coverage and increased redundancy. Thus, new approach arise from INTERNATIONAL JOURNAL OF ELECTRONICS AND COMMUNICATION ENGINEERING & TECHNOLOGY (IJECET) ISSN 0976 – 6464(Print) ISSN 0976 – 6472(Online) Volume 5, Issue 12, December (2014), pp. 06-16 © IAEME: http://www.iaeme.com/IJECET.asp Journal Impact Factor (2014): 7.2836 (Calculated by GISI) www.jifactor.com IJECET © I A E M E
  • 2. Proceedings of the International Conference on Emerging Trends in Engineering and Management (ICETEM14) 30 – 31, December 2014, Ernakulam, India 7 biological concepts and are more suitable in fault tolerant digital system design [1]-[16]. One of the delegate approaches, MUX TREE method [13] offers better self repairing and replication, but has only less fault coverage. Another approach uses endocrine systems [9] to improve redundancy, but needs a complex communication for rerouting. This paper presents a new methodology to overcome these problems, thereby using endocrine cellular communication for self-repairing [1] in digital systems. The Auto Depannage mechanism improves the fault detection and reduces hardware overhead for digital system design. 2. AUTO DEPANNAGE MECHANISM USING ENDOCRINE CELLULAR COMMUNICATION Auto Depannage digital system is a self-recovering digital system that can recover from different types of functional faults. In endocrine cellular communication, endocrine cell secretes a specific hormone for cell replacement only after it receives another specific hormone of damage cell indication. By adopting the similar mechanism, proposed system [16] isolates the faulty cells and replaces with a proper spare cell. 3. ARCHITECTURE OVERVIEW The entire architecture of Auto Depannage digital system is composed of two layers, called functional layer and gene control layer as in Fig1. Fig 1: Auto Depannage digital system architecture Both layers are operated in parallel, thus the system can recover even several faults occur in different modules a same time. Functional layer contain artificial cells (modules). Module may be working cell(WC), spare cell(SC) or isolated cells. Every WC is surrounded with its 4 SC as shown in Fig 1, and each SCs is connected to its neighbouring WC. Each WC having its own ICU and SCs has it own DU in gene control layer. The gene control layer is functionally positioned in parallel with the functional layer. Thus, the gene control layer must control the functional layer properly without a collision. Fig 2. shows interaction between layers for fault recovering. Here WC is replaced by SC when a permanent fault arises in it.
  • 3. Proceedings of the International Conference on Emerging Trends in Engineering and Management (ICETEM14) 30 – 31, December 2014, Ernakulam, India 8 3.1. FunctionalLayer Functionality of target digital system is dividing into different genome and fed in each working cells (WC). Each WC surrounded by its own stem (spare) cells and it contains genome of neighboring working cell. The isolated cells are cells, which are isolated due to permanent fault. These three types of cells are commonly known as module. All modules have similar basic structure and these different modules forms a layer called functional layer (structural layer). Every module contains two major units. They are, Fig 2: Interaction between layers for fault recovery 3.1.1. Genome and Basic Structure The genome plays the most important role in each cell. Genome is similar to a memory, which contains encoded data about functionality and routing structure. Using the proper genome, module constructs a basic structure corresponding to functionality of WC. The output from it fed into fault detection and correction unit. 3.1.2. Fault Detection and Correction Unit The drawbacks of existing system are, it requires large memory for fault detection and correction, and less functional fault recovery. Fig 3: Fault detection and correction unit
  • 4. Proceedings of the International Conference on Emerging Trends in Engineering and Management (ICETEM14) 30 – 31, December 2014, Ernakulam, India 9 The proposed architecture overcomes it by elementary operational unit as shown in Fig 3. The elementary unit produce bitwise fixed result corresponding to inputs of WC. This result is fed into comparator unit 1 and cross check the data in (True or fault output). Then it is set flag if any mismatch is present. Faulty data and its location, is found out by using comparator unit 2. If it is a transient fault, then try to correct it using elementary unit and perfect genome and send corrected data to cell. If the fault appears simultaneously, even after fault correction and genome replacement, then it is a permanent fault. It is due to the fault in genome, the entire cell has to be replaced, set a fault signal and given to gene control layer. 3.2. Gene Control Layer The gene control layer assigns proper spare cell by producing control signals after receiving fault signal as in Fig 2. It finds available spare cell and selects proper genome to the particular spare cell. Then the spare cell takes the functionality of the faulty working cell. The gene control layer is composed of, 3.2.1. Index Changing Unit Index changing unit (ICU) receives faulty signals and changes the index bits. TABLE I shows index bits and its ideal values. State bit: It shows whether the cell is a SC or a WC or an isolated cell. Direction bit: It indicates the direction of the WC for which stem cell is differentiated Differentiation bit: It signifies the indication to enable spare cell. TABLE I. INDEX BITS FOR EACH STEM CELL State bit Stem cell 0 Working or Isolated cell 1 Direction bits The direction of the WC for which stem cell is differentiated Left 00 Down 01 Right 10 Up 11 Differentiation bit No change 0 Differentiate the stem cell 1 3.2.2. Differentiation Unit The Differentiation Unit (DU) receives index bits and sends differentiated signal to corresponding stem cell. At the same time, the isolation signal is sent to faulty module from ICU. Thereby, the fault recovery is achieved and the target system maintains the normal operation 4. FUNCTIONAL FAULT COVERAGE Auto Depannage mechanism offers functional fault coverage. It may be a transient, permanent, or simultaneous fault. Fig 4 shows Auto Depannage ALU without any fault. Consider it can perform 4 different operations like addition, subtraction, multiplication and shifting. The WC and SC arranged as in Fig 4.
  • 5. Proceedings of the International Conference on Emerging Trends in Engineering and Management (ICETEM14) 30 – 31, December 2014, Ernakulam, India 10 Fig 4: Auto Depannage ALU without any fault 4.1. Transient Fault Transient fault or a temporary fault can recover by fault detection and correction unit itself. 4.2. Permanent Fault Permanent fault corrupt the genome or its basic structure. Thus, it can recover by selecting proper spare and isolates faulty cell. Consider the case of selecting addition operation. If there is no fault in adder WC’s, the system continue it’s working in without using SCs as in Fig 4. Fig 5: Permanent fault recovery by left SC But when the adder 4 WC suffer by temporary fault, it will try to overcome by fault detection and correction unit and retain it’s working condition. Sometimes it is not possible correct the fault, due to permanent fault in genome. Thus the WC replaced by stem cells and also isolated the faulty cell. Gene control layer generate corresponding signals according to the status of functional layer. The following figures show fault recovery occurred in Auto Depannage ALU. If any permanent fault occurs in WC ADD4, it will be replaced by its left stem cell and will isolate the faulty WC ADD4. Thus recovered from fault and the normal operation continued as in Fig 5. When there is permanent fault in left SC and WC ADD4 ,it is replaced by down stem cell as in Fig 6. If WC ADD4 and left & down stem cell become fault, it is recovered by right stem cell as in Fig 7.
  • 6. Proceedings of the International Conference on Emerging Trends in Engineering and Management (ICETEM14) 30 – 31, December 2014, Ernakulam, India 11 Fig 6: Permanent fault recovery by down SC Fig .7: Permanent fault recovery by right SC Fig 8: Permanent fault recovery by top SC Fig 9: Permanent fault in adder 4 WC and its all SCs If WC ADD4 and left, down and right stem cell become fault, it is recovered by top stem cell as in Fig 8. Then if 4 SCs and its working cell WC ADD4 become fault, the one addition operation module stops its working by isolating SCs as in Fig 9. Thus the adder 4 unit becomes fault. 4.3. Simultaneous Fault There is a chance to occur simultaneous fault in this ALU. Here the Fig 10. shows the simultaneous fault occurring in working cell of WC ADD3 and left stem cell of WC ADD4.SC for both cell are same. In that case gene control layer assigns the next proper stem cell to WC ADD4, that is its down cell, as in Fig 10. These are shows only several conditions of fault in adder cell. Similarly it is possible to recover different kinds of faults in other functional modules in Auto Depannage ALU . Fig 10: Simultaneous fault recovery
  • 7. Proceedings of the International Conference on Emerging Trends in Engineering and Management (ICETEM14) 30 – 31, December 2014, Ernakulam, India 12 Simulation Works Fig 11: Simulation result of system after fault recovery 5. EXPERIMENTAL SETUP The proposed system is embedded in a digital platform with an Xilinx Spartan 6 (XC6SLX45-3CSG 324) FPGA for the application of an ALU. Several cases of recovery from a permanent fault and transient fault are demonstrated in the platform. To verify the system, push switches, dual in-line package switches and LEDs used. Fig 12: Autodepannage ALU The switches denoted as case_modes indicate the fault injecting input switches corresponding to each module. By selecting “case_mode,” switches generate a permanent or transient fault at the corresponding modules. Output of ALU displayed on the LEDs. Working and SCs arranged as shown in Fig 4. When the transient fault is detected, at the rising of the next clock faulty data recovered to normal data and the system operates normally.
  • 8. Proceedings of the International Conference on Emerging Trends in Engineering and Management (ICETEM14) 30 – 31, December 2014, Ernakulam, India 13 In permanent fault, the normal operation is maintained using spare cells. Fig.5 to Fig 10 shows the changed states of cells by the fault recovery after a fault is injected in cells. Here, the system repairs the permanent fault in a counter clockwise sequence. However, if the fault is generate in TS after a faulty RS is replaced by TS, the entire system stops operating because there is no SC left for repair. The speed of the clock used for the recovery is much faster. Thus, the ALU can operate normally after fault generation. Through various demonstrations, the proposed system verified. 6. PERFORMANCE ANALYSIS WITH EXISTING APPROCHES The main aim of the proposed Autodepannage architecture is to reduce the area, memory usage, time delay and thereby increase scalability and accuracy. Xilinix ISE Design Suite 14.2 platform provides a summary for logic utilization, time constraints and memory usage. By analysing the graphs we can conclude that compare to existing self repair ALU, proposed Autodepannage ALU reduce the area, memory usage, time delay. Fig 13: Memory Usage Fig 14: Timing analysis
  • 9. Proceedings of the International Conference on Emerging Trends in Engineering and Management (ICETEM14) 30 – 31, December 2014, Ernakulam, India 14 Fig 15: Area Analysis Here the Fig.13 shows proposed Auto Depannage ALU reduce in memory usage existing self repair ALU. This will happen mainly due to the modified architecture of Fault detection and correction. Timing Analysis shows in Fig.14, the proposed system reduces the total time delay. It is the sum total of logic time and the routing time. The total time required to Auto Depannage ALU got reduced. Area Analysis Fig 15 shows that the proposed system reduces the total area compared to the existing one. These 3 Plots were drawn by analysing the design summary of both approaches after synthesis TABLE II: SUMMARY OF DIFFERENT APPROACHES Approach Proposed system Self-healing system MUX TREE system TMR Number of WC N×N N×N N×N N×N Number of SC (N+1)× (N+1) (N×N)/2 NXM 2×N×N Number of hardware for rerouting __ (N×N)/2 N ×(N +M) __ Overhead (%) 100 × (1 + 2/N + 1/N)2% 100% 100 × (1 + 2M/N)% 200% Simultaneous fault coverage N×N (N×N)/2 1 N×N FFC 4 1 M 1 Necessary for rerouting NO YES YES NO
  • 10. Proceedings of the International Conference on Emerging Trends in Engineering and Management (ICETEM14) 30 – 31, December 2014, Ernakulam, India 15 The proposed system was compared to other major self-repair approaches and it was found that the proposed system has good fault coverage, low overhead, and no unutilized resources for fault recovery. The results summarized in TABLE II. 7. CONCLUSION AND FUTURE SCOPE The AutoDepannage digital system provides good scalability and fault coverage. New architecture for the fault detection has less memory usage and more fault coverage. Furthermore, due to the new architecture, the cells could be arranged in densely and flexible way, also the WC could be expanded to any four directions. The exact control in the gene-control layer offers fault recovery without collision. As a result, all these create the system efficient compare to other existing approaches. For further improvement of the proposed AutoDepannage system, there remain several issues awaiting further studies. The primary goal of developing a fault tolerant or AutoDepannage system is to deal with faults that can occur in the target system. Other faults that might occur in additional hardware are not considered. Hence, the secondary faults that can occur in the additional functional hardware should be considered as well in the consideration of the cost and frequency. This means that addressing possible faults in the additional functional hardware remains as a topic for further study. ACKNOWLEDGMENT I would like to acknowledge the support of the Department of Electronics and Communication Engineering, SNGCE for technical facilities. I am thankful to our supervisors Dr. S.P Namboothiri (H.O.D ECE, SNGCE) and Ms. Divya S. (Assistant Prof., SNGCE) for their motivational support for carrying out this work. I am also grateful to my beloved guide, Ms. Arathy Iyer R. (Assistant Prof., SNGCE), for her valuable contributions and encouragement which make this work successful. Last but not the least; I humbly extend my gratitude to other faculty, my friends and family, especially Ms. Ann Varghese, for her unending support. Above all, I thank God Almighty for giving me strength, courage and blessings to complete this work. REFERENCES [1] Isaak Yang, Sung Hoon Jung, and Kwang-Hyun Cho,” Self Repairing Digital System With Unified Recovery Process Inspired by Endocrine Cellular Communication”- IEEE TRANSACTIONS ON VERY LARGE SCALE INTEGRATION (VLSI) SYSTEMS, JUNE 2013 [2] M. Samie, G. Dragffy, and T. Pipe, “UNITRONICS: A novel bioinspired fault tolerant cellular system,” in Proc. NASA/ESA Conf. Adapt.Hardw. Syst., Jun. 2011, pp. 58–65. [3] M. Samie, G. Dragffy, and T. Pipe, “Bio-inspired self-test for evolvable fault tolerant hardware systems,” in Proc. NASA/ESA Conf. Adapt.Hardw. Syst., Jun. 2010, pp. 325–332. [4] M. Samie, G. Dragffy, A. Popescu, T. Pipe, and C. Melhuish, “Prokaryotic bio-inspired model for embryonics,” in Proc. NASA/ESA Conf.Adapt. Hardw. Syst., Jul.–Aug. 2009, pp. 163–170. [5] M. Samie, G. Dragffy, A. Popescu, T. Pipe, and J. Kiely, “Prokaryotic bio-inspired system,” in Proc. NASA/ESA Conf. Adapt. Hardw. Syst., Jul.–Aug. 2009, pp. 171–178.
  • 11. Proceedings of the International Conference on Emerging Trends in Engineering and Management (ICETEM14) 30 – 31, December 2014, Ernakulam, India 16 [6] W. Barker, D. M. Halliday, Y. Thoma, E. Sanchez, G. Tempesti, and A. M. Tyrrell, “Fault tolerance using dynamic reconfiguration on the POEtic tissue,” IEEE Trans. Evol. Comput., vol. 11, no. 5, pp. 666–684, Oct. 2007. [7] P. K. Lala, B. K. Kumar, and J. P. Parkerson, “On self-healing digital system design,” Microelectron. J., vol. 37, no. 4, pp. 353–362, Apr. 2006. [8] S. Mitra, N. Seifert, M. Zhang, Q. Shi, K. S. Kim, “Robust System Design with Built-In Soft-Error Resilience,” Computer, vol. 38, no. 2, pp. 43-52, February 2005. [9] A.J. Greensted and A.M.Tyrrell, “An endocrinologic-inspired hardware implementation of a multicellular system,” in Proc. NASA/DoD Conf.Evolvable Hardw., 2004, pp. 245–252. [10] X. Zhang, G. Dragffy, A. G. Pipe, N. Gunton, and Q. M. Zhu, “A reconfigurable self- healing embryonic cell architecture,” in Proc. ERSA, Jun. 2003, pp. 134–140. [11] P. K. Lala and B. K. Kumar, “An architecture for self-healing digital systems,” J. Electron. Testing: Theory Appl., vol. 19, no. 5, pp. 523– 535, Oct. 2003. [12] D. Mange, M. Sipper, A. Stauffer, and G. Tempesti, “Toward robust integrated circuits: The embryonics approach,” Proc. IEEE, vol. 88,no. 4, pp. 516–541, Apr. 2000. [13] D. Mange, E. Sanchez, A. Stauffer, G. Tempesti, P. Marchal, and C. Piguet, “Embryonics: A new methodology for designing field programmable gate arrays with self-repair and self- replicating properties,” IEEE Trans. Very Large Scale Integr. (VLSI) Syst., vol. 6, no. 3, pp. 387–399, Sep. 1998. [14] C. Ortega and A. Tyrrell, “Design of a basic cell to construct embryonic arrays,” IEE Proc. Comput. Digital Tech., vol. 145, no. 3, pp. 242–248, May 1998. [15] D. Mange, S. Durand, E. Sanckez, A. Stauffer, G. Tempesti, P. Marchal, and C. Piguet, “A new paradigm for developing digital systems based on a multi-cellular organization,” in Proc. IEEE Int. Symp. Circuits Syst.,vol. 3. Apr.–May 1995, pp. 2193–2196. [16] Archanalakshmi K.S, Arathy Iyer,”Design of Auto Depannage digital system with efficent fault coverage, ” IJARECE,Vol 3 Issue 9 September 2014, pp.1063-1068. [17] Y.S.V.Raman, Dr S.Sri Gowri and Dr B.PrabhakaraRao, Performance Analysis of Cellular System using Distributed Dynamic Channel Allocation”, International Journal of Electronics and Communication Engineering & Technology (IJECET), Volume 3, Issue 1, 2012, pp. 147 - 153, ISSN Print: 0976- 6464, ISSN Online: 0976 –6472.