@Research Paper
<#LINE#>Design and optimization of a low pressure vessel<#LINE#>Sahu@Y.K. , Nagpal@S.  <#LINE#>1-6<#LINE#>1.ISCA-RJEngS-2017-131.pdf<#LINE#>BIT Durg, Chhattisgarh, India@BIT Durg, Chhattisgarh, India<#LINE#>8/4/2017<#LINE#>11/7/2017<#LINE#>A pressure vessel is cylindrical closed container in which liquid or gas can be hold at a pressure other than the ambient pressure. The caps fitted at the ends of the cylindrical body are called as heads. The aim of this research is to carry out detailed design & analysis of a pressure vessel for the application of air storage. It is a low pressure vessel since the internal pressure is 1.48 MPa. In this research paper geometrical and finite element model of pressure vessel (for air storage application) has been done using ANSYS 15.0 software. Optimization process has been also applied using ANSYS 15.0 by screening method. This optimized value reduces the stresses (13.10 % for head and 9.088 % for shell) in the pressure vessel, which will increase the life of the pressure vessel and reduce the chances of bursting the pressure vessel. The optimized value of mass reduces the weight (18.57% for shell), hence reduce the material cost of the vessel.<#LINE#>Saidpatil Vishal V. and Thakare Arun S. (2014).@Design & Weight Optimization of Pressure Vessel Due to Thickness Using Finite Element Analysis.@International Journal of Emerging Engineering Research and Technology, 2(3), 1-8.@Yes$Lewinski Jerzy (2014).@Equivalent Stress In A Pressure Vessel Head With A Nozzle.@Journal of Theoretical and Applied Mechanics, 52(4), 1007-1018.@Yes$Hassan S., Kumar K., Raj C.D. and Sridhar K. (2014).@Design and Optimisation of Pressure Vessel Using Metaheuristic Approach.@Applied Mechanics and Materials, 465, 401-406.@Yes$nasseri S.h., Alizadeh Z. and Taleshian F. (2012).@Optimized Solution of Pressure Vessel Design Using Geometric Programming.@Journal of Mathematics and computer Science, 4(3), 344-349.@Yes$Carbonari R., Munoz-Rojas P., Andrade E., Paulino G., Nishimoto K. and Silva E. (2011).@Design of pressure vessels using shape optimization: An integrated approach.@International Journal of Pressure Vessels and Piping, 88, 198-212.@Yes$Liu Peng-fei, Xu Ping, Han Shu-xin and Zheng Jin-yang (2008).@Optimal design of pressure vessel using an improved genetic algorithm.@Journal of  Zhejiang University SCIENCE A, 9(9), 1264-1269.@Yes$Ayob Amran and Elbasheer Kabashi M. (2007).@Optimum Autofrettage Pressure in Thick Cylinder.@Journal Mekanika, 24, 1-14.@Yes$Raj Naveen N., Akash A.R. and Anishek S. (2014).@Design and Finite Element Analysis of a Pressure Vessel.@1st International Conference on Mechanical Engineering: Emerging Trends for Sustainability, IC MEES-2014.@No$ASME (2013).@American Society of Mechanical Engineers, Digital Product Definition Practices ASME SECTION-II PART D (METRIC) 2013.@American Society of Mechanical Engineers, New York, 2013.@No$Bhandari V.B. (2014).@Design of Machine Elements.@McGraw Hill Education (India) Private Limited, Third Edition, 768-795. ISBN: 978-0-07-068179-8@No
<#LINE#>Effect of variation in solid bed height on the pressure distribution during gas fluidization of solids<#LINE#>Kumar@S., Arora@A., Chandra@H. <#LINE#>7-13<#LINE#>2.ISCA-RJEngS-2017-143.pdf<#LINE#>Department of Mechanical Engineering, Bhilai Institute of Technology, Durg, Chhattisgarh, India@Department of Mechanical Engineering, Bhilai Institute of Technology, Durg, Chhattisgarh, India@Department of Mechanical Engineering, Vishwavidyalaya Engineering College, Sarguja University, Ambikapur, Chhattisgarh, India<#LINE#>8/4/2017<#LINE#>24/7/2017<#LINE#>The present work has been to investigate the effect of increase in the static bed hieght of the solids on the pressure distribution during gas fluidization of solids in a stationery pool of liquid. The experimentations have been performed on a standardized experimental setup. Results show that increase in the solid bed height also increases the pressure drop across the bed. The pressure distribution along the axis of the fluidized column decreases with the increasing bed height.<#LINE#>Epstein Norman (1981).@Three&#8208;phase fluidization: Some knowledge gaps.@The Canadian Journal of Chemical Engineering, 59(6), 649-657.@Yes$Walters J.K. and Davidson J.F. (1962).@The initial motion of a gas bubble formed in an inviscid liquid Part 1, The two-dimensional bubble.@Journal of Fluid Mechanics, 12(03), 408-416.@Yes$Maruyama T., Yoshida S. and Mizushina T. (1981).@The flow transition in a bubble column.@Journal of Chemical Engineering of Japan, 14(5), 352-357.@Yes$Fan L.S. (1989).@Gas-liquid-solid fluidization engineering.@Butterworth Publication, Stoneham, MA (USA); Butterworth Publishers, United States, OSTI Identifier: 6975781, 35-37. ISBN: 0-409-95179-X.@Yes$Ellis N., Briens L.A., Grace J.R., Bi H.T. and Lim C.J. (2003).@Characterization of dynamic behaviour in gas–solid turbulent fluidized bed using chaos and wavelet analyses.@Chemical Engineering Journal, 96(1), 105-116.@Yes$Yang W.C. (2003).@Handbook of fluidization and fluid-particle systems.@CRC press, United States, 239-240. ISBN: 0-8247-0259-X.@Yes$Cui Z. and Fan L.S. (2004).@Turbulence energy distributions in bubbling gas–liquid and gas–liquid–solid flow systems.@Chemical Engineering Science, 59(8), 1755-1766.@Yes$Yang G.Q., Du B. and Fan L.S. (2007).@Bubble formation and dynamics in gas–liquid–solid fluidization—A review.@Chemical Engineering Science, 62(1), 2-27.@Yes$Kumar S., Arora A. and Chandra H. (2011).@Experimental investigation of gas-solid fluidization of spherical food material.@CSVTU Research Journal, 4(1), 113-116.@No$Kumar S. (2012).@Experimental analysis of terminal velocity of irregular particles.@International Journal of Technology, 4(1), 33-41.@No$Heino H. (2015).@Particle movement and mixing in three-phase gas-liquid-solid fluidized bed (Unpublished Master’s Thesis).@Aalto University of Chemical Technology, Greater Helsinki, Finland, 1-83.@Yes$Kumar S., Arora A. and Chandra H. (2015).@Experimental investigations on variation in particle size on pressure drop during gas fluidization of solids in stationary liquid.@International Research Journal of Engineering and Technology, 2(5), 883-886.@Yes$Kumar S., Arora A. and Chandra H. (2015).@Standardization of Measurement Process during Gas Fluidization of Solids in Stationary Liquid Using Gauge Repeatability and Reproducibility Methodology.@Global Journal of Multidisciplinary Studies, 4(6), 156-163.@Yes
@Research Article
<#LINE#>Sensorless zero back EMF method for in rotor position control of BLDC motor drive<#LINE#>Sadhak@Juli Singh, Bhusnur@Surekha <#LINE#>14-19<#LINE#>3.ISCA-RJEngS-2017-080.pdf<#LINE#>Electrical Engg. Department, BIT Durg, Chhattisgarh, India@EEE Department, BIT Durg, Chhattisgarh, India<#LINE#>8/4/2017<#LINE#>3/8/2017<#LINE#>Electrical Drives is a system comprising various devices which aim at controlling the motion of electrical machines in desired fashion. Using the concept of drive speed of rotation of an electrical machine can be controlled precisely in an optimized manner. A motor drive usually consists of an electric machine along with a power converter with associated controller. The converter manages power flow from source to the motor input terminals. Recently, there has been tremendous advancement in semiconductor technology owing to which very robust, reliable, efficient and compact AC and DC electric motor drives have been designed and developed. The controller handles the command signals and various sensor feedback signals and enables generation of appropriate gate switching signals, according to a control algorithm for the power converter. Also, the algorithm may incorporate fault detection and protection. The signals from the sensor may be machine inverter temperature outputs, rotor position of motor, currents in all phases and inverter bus voltage. Some of the Key features namely, high reliability, straight forward control, and low friction make the brushless direct current (BLDC) motors suitable for the drive applications. A BLDC motor has a better high-speed adjusting performance and power density in comparison to PMSM. According to review of relevant research work the most popular method for determining rotor position of BLDC motor is Hall Sensor method and other methods are also available viz., Variable Reluctance Method, Accelerometer, Zero Back EMF method and six step commutation control method that work well for BLDC motor. The problem of designing drive system is still one of the ubiquitous research problems.<#LINE#>GUO H., Sagawa S. and Ichinokura O. (2008).@Position sensorless driving of BLDCM using neural networks.@Electrical engineering in Japan, 162(4), 64-71.@Yes$Saranya R., kumar S.S., Baskaran R. and Vin A. (2014).@Sensorless Operation of Brushless DC Motor Drive using Back EMF Technique.@International Journal of Engineering Research, 3(4), 255-257.@No$Kim T., Lee H.-W. and Ehsani M. (2007).@Position sensorless brushless DC motor /generator drives: review and future trends.@IET Electr. Power Appl., 1(4), 557-564. http://dx.doi.org/10.1049/iet-epa:20060358.@Yes$Singh Juli (2012).@Analysis The Speed Control Of Bldc Motor Drive Using Sensors.@International Journal of Engineering Research and Applications, 2(3), 2868-2884.@Yes$Singh Bhim and Singh Sanjeev (2009).@State of the Art on Permanent Magnet Brushless DC Motor Drives.@Journal of Power Electronics, 9(1), 1-17. DOI: 10.1.1.453.6253.@Yes$Kalyani Tara S. and khan Syfullah Md (2013).@Simulation of sensorless operation of BLDC motor based on the zero-cross detection from the line voltage.@International Journal of Advanced Research in  Electrical, Electronics and Instrumentation Engineering, 2(12).@Yes$Suganya P., Priyadharshini S. and Saranya S. (2015).@Sensorless Control of a Brushless DC Motor.@National Conference on Research Advances in Communication, Computation, Electrical Science and Structures  (NCRACCESS-2015), ISSN: 2348 – 8379.@No$Chen Wei and Xia Changliang (2006).@Sensorless Control of Brushless DC Motor Based on  Fuzzy Logic.@Intelligent Control and Automation WCICA 2006. The Sixth World Congress on, 2, 6298-6302.@Yes$Rao Rama and Taib Soib (2008).@Sensorless Control of a BLDC Motor with Back EMF Detection Method using DSPIC.@2nd IEEE International Conference on Power and Energy (PECon 08), Johor Baharu, Malaysia, 243-248.@Yes$Chowdhurya Debjyoti, Chattopadhyaya Madhurima and Roy Priyanka (2013).@Modelling  and  Simulation  of Cost Effective  Sensorless  Drive  for  Brushless  DC  Motor .@International Conference on Computational Intelligence: Modelling, Techniques and Applications (CIMTA-2013) (ELSEVIER), Procedia Technology, 10, 279-286@Yes
<#LINE#>Removal of dye from aqueous solution by using activated carbon<#LINE#>Deshpande@D.P., Zare@Kirti , Vardhe@Pankaj , Maheshwari@Utkarsh  <#LINE#>20-24<#LINE#>4.ISCA-RJEngS-2017-155.pdf<#LINE#>Department of Chemical Engineering, D.Y. Patil Institute of Engineering, Management and Research, Pune, India@Department of Chemical Engineering, D.Y. Patil Institute of Engineering, Management and Research, Pune, India@Department of Chemical Engineering, D.Y. Patil Institute of Engineering, Management and Research, Pune, India@Department of Chemical Engineering, D.Y. Patil Institute of Engineering, Management and Research, Pune, India<#LINE#>19/5/2017<#LINE#>10/8/2017<#LINE#>The present work is aimed at synthesis of efficient adsorbent from coconut shell and comparison with commercial grade activated charcoal (CGAC).The raw material i.e coconut shell powder is first activated with orthophosphoric acid (H3PO4) and carbonised in a furnace at temperature range of 450-6000C. The effective surface area of activated carbon is obtained, The coconut shell activated carbon(CSAC) gives us better adsorption in  removal of  methylene blue dye from aqueous  solution as compared to the commercial grade activated charcoal (CGAC).<#LINE#>Zhonghua Hu, Srinivasan M.P. and Yaming Ni (2001).@Novel activation process for preparing highly microporous and mesoporous activated carbons.@Carbon, 39, 877-886 .@Yes$Amuda O.S. and Ibrahim A.O. (2006).@Industrial wastewater treatment using natural material as adsorbent.@African Journal of Biotechnology, 5(16), 1483-1487 .@Yes$Maheshwari U. and Gupta S. (2015).@Removal of Cr(VI) from Wastewater Using a Natural Nanoporous Adsorbent: Experimental, Kinetic and Optimization Studies.@Adsorpt. Sci. Technol., 33(1), 71-88.@Yes$Gangadhar G., Maheshwari U. and Gupta S. (2012).@Application of Nanomaterials for the Removal of Pollutants from Effluent Streams.@Nanoscience and  Nanotechnology, 2, 140-150.@Yes$Tan I.A.W., Ahmad A.L. and Hameed B.H. (2008).@Optimization of preparation conditions for activated carbons from coconut husk using response surface methodology.@Chemical Engg. Journal, 137(3), 462-470.@Yes$Laine J., Calafat A. and Labady M. (1989).@Preparation and characterization of activated carbons from coconut shell impregnated with phosphoric acid.@Carbon, 27(2), 191-195.@Yes$Maheshwari U. and Gupta S. (2016).@A novel method to identify optimized parametric values for adsorption of heavy metals from waste water.@J. Water Process Eng., 9, e21-e26.@Yes$Maheshwari U. and Gupta S. (2016).@Performance evaluation of activated neem bark for the removal of Zn(II) and Cu(II) along with other metal ions from aqueous solution and synthetic pulp and  paper industry effluent using fixed-bed reactor@Process Saf. Environ. Prot., 102, 547-557.@Yes$Maheshwari U., Mathesan B. and Gupta S. (2015).@Efficient adsorbent for simultaneous removal of Cu(II), Zn(II) and Cr(VI): Kinetic, thermodynamics and mass transfer mechanism.@Process Saf. Environ. Prot., 98, 198-210.@Yes$Maheshwari U. and Gupta S. (2016)@Removal of Cr(VI) from wastewater using activated neem bark in a fixed-bed column: interference of other ions and kinetic modelling studies.@Desalin. Water Treat., 57(18), 8514-8525.@Yes$Maheshwari U. and Gupta S. (2011).@Kinetic and Equilibrium Studies of Cr(VI) Removal from Aqueous Solutions using Activated Neem Bark.@Res. J. Chem. Environ., 15(2), 939-943 .@Yes$Hu Zhonghua and Srinivasan M.P. (1999).@Preparation of high-surface-area activated carbons from Coconut Shell.@Microporous and Mesoporous Materials, 27(1), 11-18 .@Yes$Amuda O.S., Giwa A.A. and Bello I.A. (2007).@Removal of heavy metal from industrial wastewater using modified activated Coconut Shell Carbon.@Biochemical Engineering Journal, 36(2), 174-181 .@Yes$Odebunmi E.O. And Okeola O.F. (2001).@Preparation and Characterization of Activated carbon from waste material.@J. Chem. Soc. Nigeria, 26(2), 149-155.@Yes$Iqbal Muhammad J. and Ashiq Muhammad N. (2007).@Adsorption of dyes from aqueous solutions on activated charcoal.@Journal of Hazardous Materials, B139, 57-66 .@Yes$Bhise R.M., Patil A.A., Raskar A.R., Patil P.J. and Deshpande D.P. (2012).@Removal of Colour of Spent Wash by Activated Charcoal Adsorption and Electrocoagulation.@Research Journal of Recent Sciences, 1(6), 66-69 .@Yes
@Short Communication
<#LINE#>Application of image segmentation in mango fruit analysis using Hough transform<#LINE#>Sahu@Dameshwari , Potdar@Ravindra Manohar  <#LINE#>25-29<#LINE#>5.ISCA-RJEngS-2017-092.pdf<#LINE#>Department of Electronics and Telecommunication Engineering, Bhilai Institute of Technology, Durg-491001, Chhattisgarh, India@Department of Electronics and Telecommunication Engineering, Bhilai Institute of Technology, Durg-491001, Chhattisgarh, India<#LINE#>8/4/2017<#LINE#>19/7/2017<#LINE#>In recent years, Image processing tools havebeen broadly utilized as a part of the agronomic field. The mango fruit classification and identification are valuable in the grocery stores and can likewise be used in enterprises for the programmed sorting of fruits from a set comprising of various sort of fruits for picking fruits. The majority of it connected to the robot that can be utilized for picking foods grown from the ground examination vehicle. Identification and classification is a noteworthy test for the computer vision to accomplish close human levels of recognition. In this field, identification and classification of mango fruits utilizing image processing comprise of for the mainly three noteworthy steps i.e. background subtraction, feature extraction, and classification. The performance of this system mainly depends on background subtraction of mango fruit from images with clutter background, shadows, and shadings. To deal with this challenge, an efficient and precise segmentation method is required. The shapes of the object are significant features applied for content representation and require good segmentation to detect objects. To deal with this problem, the segmentation method using Hough Transform is implemented in this work, which can detect the shape of a mango. MATLAB have been used as the programming tool to implement and investigate the performance of the segmentation method using image processing toolbox.<#LINE#>Rocha A., Hauagge D.C., Wainer J. and Goldenstein S. (2010).@Automatic fruit and vegetable classification from images.@Computers and Electronics in Agriculture, 70(1), 96-104. Doi: 10.1016/j.compag.2009.09.002.@Yes$Dubey S.R. and Jalal A.S. (2015).@Apple disease classification using color, texture and shape features from images.@Signal, Image and Video Processing, 10(5), 819-826. Doi: 10.1007/s11760-015-0821-1.@Yes$Gongal A., Amatya S., Karkee M., Zhang Q. and Lewis K. (2015).@Sensors and systems for fruit detection and localization: A review.@Computers and Electronics in Agriculture, 116(1), 8-19. Doi: 10.1016/j.compag. 2015.05.021.@Yes$Free Stock Photos (2014).@Image database.@Available: http://all-free-download.com/free-photos/mango.html. [Accessed: 01/Jul/2016].@No$Payne A.B., Walsh K.B., Subedi P.P. and Jarvis D. (2013).@Estimation of mango crop yield using image analysis-Segmentation method.@Computers and Electronics in Agriculture, 91, 57-64. Doi: 10.1016/j.compag. 2012.11.009.@Yes$Rizon Mohamed, Yusri Nurul Ain Najihah, Kadir Mohd Fadzil Abdul, Mamat Abd Rasid bin, Aziz Azim Zaliha Abd and Nanaa Kutiba (2015).@Determination of Mango Fruit from Binary Image Using Randomized Hough Transform.@Proceedings from 8th International Conference on Machine Vision (ICMV 2015).Barcelona, Spain,8thDec, 6427-6436.@Yes$Poorani S. And Brindha P.G. (2014).@Automatic detection of pomegranate fruits using K-mean clustering.@International Journal of Advance Research in Science and Engineering, 3(8), 198-202.@No$Pham V. and Lee B. (2015).@An image segmentation approach for fruit defect detection using k-means clustering and graph-based algorithm.@Vietnam Journal of Computer Science, 2(1), 25-33.@Yes
<#LINE#>Modeling of capacity enhancement of heterogeneous few mode multi-core fiber<#LINE#>Anshu, Shrivastava @Sharad Mohan , Sahu@Vikas  <#LINE#>30-34<#LINE#>6.ISCA-RJEngS-2017-112.pdf<#LINE#>Department of Electronics & Telecommunication, Shri Shankaracharya Technical Campus, Bhilai, CG, India@Department of Electronics & Telecommunication, Shri Shankaracharya Technical Campus, Bhilai, CG, India@Department of Electronics & Telecommunication, Shri Shankaracharya Technical Campus, Bhilai, CG, India<#LINE#>8/4/2017<#LINE#>12/8/2017<#LINE#>This paper aims targets to make understand the bedrocks and recent advances in Multi-core Fiber Technology using Space Division Multiplexing. Few mode multi-core fiber (FM-MCF) that enable space division multiplexing (SDM) have greater capacity to enhance the transmission capacity compared to (SSMF) Single spatial mode fiber. The concept of Heterogeneous Few Mode Multi-core Fibers has paved it’s a way in optical communication system replacing Homogeneous Few Mode Multi-core Fibers which were previously opted. In this paper, we have modeled MCF of different geometries. The uncoupled multi-core fibers (MCFs) which can utilize multiple cores are arranged in a fiber as spatial transmission channels and then is used for the SDM transmission. Design of different structures with different number of cores are also shown. Here, in this paper, the authors use COMSOL Multiphysics (5.2) for carrying out required simulations.<#LINE#>Uden R.G.H., Correa R.A., Lopez E.A., Huijskens F.M., Xia C., Li G., Schulzgen A., Waardt H., Koonen A.M.J. and Okonkwo C.M. (2014).@Ultra- high-density spatial division multiplexing with a few-mode multicore fibre.@Nature Photonics, 8(11), 865-870.@Yes$Takara H., Mizuno T., Kawakami H., Miyamoto Y., Matsuda H., Kitamura K., Ono H., Asakawa S., Amma Y., Hirakawa K., Matsuo S., Tsujikawa K. and Yamada M. (2014).@120.7-Tb/s (7 SDM/180 WDM/95.8 Gb/s) MCF-ROPA Unrepeatered Transmission of PDM-32QAM Channels over 204 km.@European Conference on Optical Communication (ECOC), Cannes, 1-3.@Yes$Saitoh, Kunimasa, and Matsuo Shoichiro (2013).@Multicore fibers for large capacity transmission.@Nanophotonics, 2(5-6), 441-454.@Yes$Ryf  R., Fontaine N.K., Guan B., Essiambre R.-J., Randel S., Gnauck A.H., Chandrasekhar S., Adamiecki A., Raybon G., Ercan B., Scott R.P., Ben Yoo S.J., Hayashi T.,  Nagashima T. and Sasaki T. (2014).@1705-km Transmission over Coupled-Core Fibre Supporting 6 Spatial Modes.@European Conference on Optical Communication (ECOC), Cannes, PD., IEEE, 1-3.@Yes$Shibahara K., Mizuno T., Takara H., Sano A., Kawakami H., Lee D., Miyamoto Y., Ono H., Oguma M., Abe Y., Kobayashi T., Matsui T., Fukumoto R., Amma Y., Hosokawa T., Matsuo S., Saito K., Nasu H. and Morioka T. (2016).@Dense SDM (12 core×3 mode) Transmission over 527 km with 33.2-ns Mode-Dispersion Employing Low Complexity Parallel MIMO Frequency-Domain Equalization.@Journal of Lightwave Technology, 34(1), 196-204.@Yes$Igarashi K., Souma D., Wakayama Y., Takeshima K., Kawaguchi Y., Tsuritani T., Morita I. and Suzuki M. (2015).@114 Space-Division-Multiplexed Transmission over 9.8-km Weakly Coupled 6 Mode Uncoupled 19 Core Fibers.@Conference on Optical Fiber Communication (OFC), Los Angeles, Th5C.4.@Yes$Ryf R., Chen H., Fontaine N.K., Benftez A.M.V., Lopez J.A., Jin C., Huang B., Astruc M.B., Molin D., Achten F., Sillard P. and Correa R.A. (2015).@10-Mode Mode-Multiplexed Transmission over 125-km Single-Span Multimode Fiber.@European Conference on Optical Communication (ECOC), Valencia, PDP, 1-3.@Yes$Shieh W, Bao Hongchun and Tang Y. (2008).@Coherent optical OFDM: theory and design.@Optics express, 16(2), 841-859.@Yes$Ryf  Roland, Fontaine Nicolas K., Montoliu Marc, Randel Sebastian, Chang Sun Hyok, Chen Haoshuo, Chandrasekhar S., Gnauck A.H., Essiambre R.J., Winzer Peter J., Taru Toshiki, Hayashi Tetsuya and Sasaki Takashi (2014).@Space-division multiplexed transmission over 3×3 coupled-core multi-core fiber.@Optical fiber communication conference. Optical society of America,1 -3.@Yes$Matsuo Shoichiro, Takenaga Katsuihiro, Arakawa Yoko, Sasaki Yusuke, Taniagwa Shoji, Saitoh Kunimasa and Koshiba Masanori (2011).@Large-effective-area ten-core fiber with cladding diameter of about 200 µm.@Optics letters, 36(23), 4626-4628.@Yes$Takeshima Koki, Tsuritani Takehiro, Tsuchida Yukihiro, Maeda Koichi, Watanabe Kengo, Sasa Toru, Imamura Katsunori, Sugizaki Ryuichi, Igarashi Koji, Morita Itsuro and Suzuki Masatoshi (2015).@51.1-Tbit/s MCF transmission over 2,520 km using cladding pumped 7-core EDFAs.@Presented at Optical Fiber Communication Conference (OFC), Los Angeles (California), paper W3G. 1, doi:10.1364/OFC.2015.W3G.1.@Yes$Soma D., Igarashi K., Wakayama Y., Takeshima K., Kawaguchi Y., Yoshikane N., Tsuritani T., Morita I. and Suzuki M. (2015).@2.05 Pbit/s super nyquist WDM SDM transmission using 9.8-km 6-mode 19-core fiber in full C-band.@Presented at European Conference on Optical Communications (ECOC), Valencia (Spain), 1-3, doi: 10.1109/ECOC.2015.7341686.@Yes$Puttnam B.J., Luís R.S., Klaus W., Sakaguchi J., Delgado Mendinueta J-M., Awaji Y., Wada N., Tamura Yoshiaki, Hayashi Tetsuya, Hirano Masaaki and Marciante J. (2015).@2.15 Pb/s transmission using a 22-core homo- geneous single-mode multi-core fiber and wideband optical comb.@Presented at European Conference on Optical Communications (ECOC), Valencia (Spain), paper 3.1. doi: 10.1109/ECOC.2015.7341685.@Yes$Ye Feihong, Saitoh Kunimasa, Takara Hidehiko, Asif Rameez and Morioka Toshio (2015).@High-count multi-core fibers for space division multi- plexing with propagation direction interleaving.@Paper presented at Optical Fiber Communication Conference (OFC), Los Angeles (California), paper Th4C.3, doi:  10.1364/OFC.2015.Th4C.3(2015).@Yes
<#LINE#>Simulation of various structures of photonic crystal fibers<#LINE#>Joshi@Aakash , Shrivastava @Sharad Mohan , Sahu@Vikas  <#LINE#>35-38<#LINE#>7.ISCA-RJEngS-2017-114.pdf<#LINE#>Department of Electronics & Telecommunication, Shri Shankaracharya Technical Campus, Bhilai, Junwani-491001, CG, India@Department of Electronics & Telecommunication, Shri Shankaracharya Technical Campus, Bhilai, Junwani-491001, CG, India@Department of Electronics & Telecommunication, Shri Shankaracharya Technical Campus, Bhilai, Junwani-491001, CG, India<#LINE#>8/4/2017<#LINE#>10/8/2017<#LINE#>Two structures of Hexagonal Photonic Crystal Fiber have been designed in this paper. The first structure contains four circular shaped air hole rings in hexagonal configuration having Perfectly matched layer and Scattering Boundary Condition and the second structure contains a three rings Photonic Crystal fibers without Perfectly match layer and Scattering boundary condition. We have used COMSOL Multi physics (5.2) to design this models. Comsol Multi Physics uses Finite Element Method for the simulation process. And MATLAB is used to plot the effective refractive index with respect to wavelength. The variation of effective refractive index by varying wavelength and diameter of air holes have been analyzed.<#LINE#>Knight J.C., Birks T.A., Russell P.St.J. and Atkin D.M. (1996).@All-silica single-mode optical fiber with photonic crystal cladding.@Opt. Lett., 21(19), 1547-1549.@Yes$Jensen J.B., Riishede J., Broengx J., Laegsgaard J., Tanggaard Larsen T., Sorensen T., Hougaard K., Knudsen E., Libori S.B. and Bjarklev A. (2003).@Photonic crystal fibers; fundamental properties and applications within sensors.@Sensors, 2003. Proceedings of IEEE, 1, 269-278.@Yes$Russell P. and Dettmer R. (2001).@A neat idea [photonic crystal fibre].@IEE Review, 47(5), 19-23.@Yes$Bjarklev A., Riishede J., Barkou Libori S.E. and Broen J. (2002).@Photonic crystal fibres- novel fibres, new applications.@Transparent Optical Networks, 2002. Proceedings of the 2002 4th International Conference on, 2, 172-178.@Yes$Liu Jianguo, Xue Lifang, Wang Zhi, Kai G., Liu Y., Zhang Weigang and Dong Xiaoyi (2006).@Large anomalous dispersion at short wavelength and modal properties of a photonic crystal fiber with large air holes.@Quantum Electronics, IEEE Journal of , 42(9), 961-968.@Yes$Li Jianhua, Wang Rong, Wang Jingyuan, Xu Zhiyong and Su Yang (2011).@Novel large negative dispersion photonic crystal fiber for dispersion compensation@Mechanic Automation and Control Engineering (MACE), 2011 Second International Conference on, 1443-1446.@Yes$Ebendorff-Heidepriem Heike, Petropoulos P., Asimakis S., Finazzi V., Moore R.C., Frampton K., Koizumi F., Richardson D.H. and Monro T.M. (2004).@Bismuth glass holey fibers with high nonlinearity.@Opt. Express, 12(21), 5082-5087.@Yes$Bouk A.H., Cucinotta A., Poli F. and Selleri S. (2004).@Dispersion of square lattice photonic crystal fibers.@Opt Exress, 12(5), 941-946.@Yes$Chiang Jung-Sheng and Wu Tzong-Lin (2006).@Analysis of propagation characteristics for an octagonal photonic crystal fiber (0-PCF).@Opt. Commm., 258(2), l70-176.@Yes$Broeng Jes, Barkou Stig E., Bjarklev Anders, Knight Jonathan C., Birks Tim A. and Russel Philip St. J. (1998).@Highly increased photonic bandgaps in silica air structure.@Opt Commu., 156(4-6), 240-244.@Yes$Razzakla S.M.A., Namihiral Yoshinori, Khan M.A.G., Anower M.S. and Hail Nguyen Hoang (2006).@Transmission characteristics of circular ring PCF and octagonal PCF: A comparison.@4th International Conference on Electrical and Computer Engineering ICECE 2006, Dhaka, Bangladesh, 266-269.@Yes$Mishram S.S. and Singh Vinod Kumar (2011).@Study of non-linear properties of hollow core photonic crystal fiber.@Optik, 122(8), 687-690.@Yes$A. Amir, S. Revathi, S.R. Inbathini and A. Chandran (2013).@Modeling of Circular Photonic Crystal Fiber Structure for High Non-linearity.@International Journal of Advanced Electrical and Electronics Engineering, (IJAEEE), 2(3), 88-92, ISSN (Print) : 2278-8948.@Yes$Koshiba M. and Saitoh K. (2003).@Structural dependence of effective area and mode field diameter for holey fibers.@Opt. Express, 11(15), 1746-1756.@Yes
@Review Paper
<#LINE#>A survey on fractional order PID controller<#LINE#>Silas@Manjusha , Bhusnur@S.  <#LINE#>39-43<#LINE#>8.ISCA-RJEngS-2017-081.pdf<#LINE#>Electrical and Electronics Engineering, CSIT, Durg, Chhattisgarh, India@Electrical and Electronics Engineering, Bhilai Institute of Technology, Durg, Chhattisgarh, India<#LINE#>8/4/2017<#LINE#>11/8/2017<#LINE#>There are a numerous authentic vibrant systems which are enhanced by considering a non-integer   system which is related to the fractional calculus. Integer order differentiation and integration form the basis of previous calculation. The system representation using the method of fractional calculus is an influential instrument that has changed the view of the system modeling. A distinguish and numerous  research related  to fractional order controllers application in different areas of engineering and science, risen to various study perspectives of  analysis, design, tuning and implementation of the fractional order controllers. The distinguish characteristic of fractional order control is that it is a generalization of classical control theory. FOPID controllers are more ample than the previously used IOPID controllers. FOPID controllers are comprehensively used by various technocrats to accomplish the most vigorous recital of the models. Fractional order controllers provide two extra parameters for tuning than the classical PID controllers, which enhance the overall performance of the system. The FOPID controllers   are less receptive to the uncertainty of the parameter which may exist in the controller & controlled system.<#LINE#>Shah P. and Agashe S. (2016).@Review of fractional PID controller.@Mechatronics, 38, 29-41.@Yes$Chen Y., Petras I. and Xue D. (2009).@Fractional order control-A tutorial.@In American Control Conference, ACC@Yes$Monje C.A., Chen Y., Vinagre B.M., Xue D. and Feliu-Batlle V. (2010).@Fractional-order systems and controls: fundamentals and applications.@Springer Science & Business Media.@Yes$Vinagre B.M., Podlubny I., Hernandez A. and Feliu V. (2000).@Some approximations of fractional order operators used in control theory and applications.@Fractional calculus and applied analysis, 3(3), 231-248.@Yes$Cao J.Y. and Cao B.G. (2006).@Design of fractional order controllers based on particle swarm optimization.@Industrial Electronics and Applications, 2006 1ST IEEE Conference on, IEEE, 1-6.@Yes$Das S., Saha S., Das S. and Gupta A. (2011).@On the selection of tuning methodology of FOPID controllers for the control of higher order processes.@ISA transactions, 50(3), 376-388.@Yes$Polubny I. (1999).@Fractional-order systems and PI&#955;D&#956; controller.@IEEE Trans. Automatic Control, 44, 208-214.@Yes$Li H., Luo Y. and Chen Y. (2010).@A fractional order proportional and derivative (FOPD) motion controller: tuning rule and experiments.@IEEE Transactions on control systems technology, 18(2), 516-520.@Yes$Luo Y., Chen Y.Q., Wang C.Y. and Pi Y.G. (2010).@Tuning fractional order proportional integral controllers for fractional order systems.@Journal of Process Control, 20(7), 823-831.@Yes$Monje C.A., Vinagre B.M., Santamaria G.E. and Tejado I. (2009).@Auto-tuning of Fractional Order PI&#955; Dµ Controllers using a PLC.@Proceedings of the 14 IEEE international conference on Emerging technologies & factory automation (IEEE Press Piscataway, NJ, USA), 1095, 1-7.@Yes$Monje C.A., Vinagre B.M., Chen Y.Q., Feliu V., Lanusse P. and Sabatier J. (2004).@Proposals for fractional PID-tuning.@Proceedings of The First IFAC Symposium on Fractional Differentiation and its Applications (FDA04), 115-120.@Yes$Monje C.A., Vinagre B.M., Feliu V. and Chen Y. (2008).@Tuning and auto-tuning of fractional order controllers for industry applications.@Control engineering practice, 16(7), 798-812.@Yes$Padula F. and Visioli A. (2015).@Advances in robust fractional control.@Springer Science & Business Media.@Yes$Padula F. and Visioli A. (2011).@Tuning rules for optimal PID and fractional-order PID controllers.@Journal of process control, 21(1), 69-81.@Yes$Podlubny I. (1994).@Fractional-order systems and fractional-order controllers.@Institute of Experimental Physics, Slovak Academy of Sciences, Kosice, 12(3), 1-18.@Yes$Tavazoei M.S. (2010).@Notes on integral performance indices in fractional-order control systems.@Journal of Process Control, 20(3), 285-291.@Yes$Valério D. and da Costa J.S. (2006).@Tuning of fractional PID controllers with Ziegler–Nichols-type rules.@Signal Processing, 86(10), 2771-2784.@Yes$Valerio D. and da Costa J.S. (2010).@A review of tuning methods for fractional PIDs.@In 4th IFAC Workshop on Fractional Differentiation and its Applications, FDA, 10.@Yes$Vinagre B.M., Monje C.A., Calderón A.J. and Suárez J.I. (2007).@Fractional PID controllers for industry application.A brief introduction.@Journal of Vibration and Control, 13(9-10), 1419-1429.@Yes$Xue D. and Chen Y. (2002).@A comparative introduction of four fractional order controllers.@Intelligent Control and Automation, 2002.Proceedings of the 4th World Congress on, IEEE, 4, 3228-3235.@Yes$Yeroglu C. and Tan N. (2011).@Note on fractional-order proportional-integral-differential controller design.@IET control theory & applications, 5(17), 1978-1989.@Yes$Zhao C., Xue D. and Chen Y. (2005).@A fractional order PID tuning algorithm for a class of fractional order plants.@Mechatronics and Automation, 2005 IEEE International Conference , IEEE, 1, 216-221.@Yes$Yan Z., He J., Li Y., Li K. and Song C. (2013).@Realization of Fractional Order Controllers by Using Multiple Tuning-Rules.@International Journal of Signal Processing, Image Processing and Pattern Recognition, 6(6), 119-128.@Yes$Padula F. and Visioli A. (2013).@Set&#8208;point weight tuning rules for fractional&#8208;order PID controllers.@Asian Journal of Control, 15(3), 678-690.@Yes$Hui-fang W., Qiu-sheng H., Zhi-cheng Z. and Jing-gang Z. (2015).@A design method of fractional order PI &#955; D &#956; controller for higher order systems.@Control Conference (CCC), 2015 34th Chinese, IEEE, 272-277.@Yes$Lachhab N., Svaricek F., Wobbe F. and Rabba H. (2013).@Fractional order PID controller (FOPID)-toolbox.@In Control Conference (ECC), 2013 European, IEEE, 3694-3699.@Yes