Engr. C.O. Osueke |
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| Study of the Influence of Crop, Machine & Operating Parameters on Performance of Cereal Threshers | ||||||||||||
Threshing as a post-harvest operation is as old as man. The evolution of mechanical threshers to secure the ever growing consumption of cereal has been hindered by several factors which have lead to low performance of several developed threshers. It has been discovered and observed by various researchers that performance of cereal threshers is highly dependent on the value of its working parameters. This work gives an insight into influence of crop, machine and operating parameters on performance of cereal threshers using a computer aided software for simulation of these parameter values. The parameters were varied at six levels and the simulations were performed by varying each parameter while the rest parameters were kept constant. It was observed that threshing efficiency increased for all increasing values of cylinder speed and bulk density, decreased for all increasing values of feed rate and concave clearance, and increased for increasing values of moisture content up to 17% and decreased after wards. Also threshing loss was found to increase for all increasing values of feed rate and concave clearance, decreased for all increasing values of cylinder speed and bulk density, and decreased for all increasing values of moisture content up to 17% and then increased after wards, similar effects on the efficiency and losses was observed in the capacity and unthreshed grain cases respectively. Thresher capacity and rate of unthreshed grain also showed significant reactions as these parameters were varied. Threshing, Cereal, Study, Performance, Machine parameters, Crop parameters, Operating parameters
[1]. Betru, S. & Kawashima, H. (2010). African cereal demand and supply analysis: Past trends and future prospect. African journal of Agricultural Research, volume 5 (20), pp. 2757-2769 [2]. Chaudhry, M.A. 1982. Food grain losses at farm level in Pakistan. Vol. 1. Department of Agricultural Marketing. Faculty of Agricultural Economics and Rural Sociology, University of Agriculture, Faisalabad. [3]. Documents. Retrieved from ministry of Agriculture, Government of India. Website:http://www.agricorp.nic.in/dacdivision/machinery/chap5a.pdf [4]. Srivastava, A.K., Mahoney, W.T., West, N.L., 1990. The effect of crop properties on combine performence. Trans. of ASAE. 33, 63-72. [5]. El-Behery A. A.; I. S. E. Yousef; S. A. F. El-Kady (2000) " Studies on flax threshing using a local paddy thresher" Egyptian J. of Agric. Res., Vol. 78 No. 1 pp. 489-497.
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Engr. C.O. Osueke |
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| Design Modelling of a Fluidized Bed for Grain Drying | ||||||||||||
The performance of fluidized bed dryer for grain drying is highly dependent on the process modeling. This work exposes the salient features that characterize fluidized bed performance using the crop and operating parameters to form empirical sub-models. This research is geared towards equipping the engineers with design and modeling tools for quantifying the activities and relationship of various processes in a fluidized bed dryer for better productivity.
performance, modelling, grain drying, fluidized bed dryer, fluidization bed velocity
[1]. Proctor, D.L. (1994). Grain storage techniques: The role of storage in the Economy. Retrieved from www.fao.org/docrep/T1838E/Ti838E02.htm# The role of storage in the economy. [2]. Geoffrey, C.M., Lawrence, O.G., Hakgamalang, J.C., & Januarius, O.A. (2011). Grain crop drying, handling and storage, rural structures in the tropics: design and development (pg 363-365). Italy, IT: FAO press. [3]. Brooker, D.B., Bakker – Arkema, F.W., Hall, C.W. (1974). Drying cereal grains, the AVI publishing company, Inc., West port, Connecticut. [4]. Pabis, S., Jayas, D.S., Cenkowski, S. (1998). Grain drying: theory and practice. John Wiley and sons, Inc., New York. [5]. De Padua, D.B. (1986). Requirements for drying high moisture grain in south east Asia. In: Champ, B.R and Highley, E,ed., Preserving grain quality by aeration and in-store drying: Proceeding of an international seminar, kuala. Lumpur, Malaysia, 9-11 October 1985 ACIAR proceedings No 15, 45-49.
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Robert Pebam, Smitha G.R |
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| Implementation of Sensor Data Record Generation Automation Tool for Baseboard Management Controller | ||||||||||||
Intelligent Platform Management Interface (IPMI) defines common interfaces to server‟s hardware that used to monitor a server‟s physical health such as fans, voltage, temperature, power supplies, power status, and chassis. The server‟s physical health gets report to Baseboard Management Controller (BMC) by different sensors that built into the system. All the sensors information is provided by Sensor Data Records (SDRs). SDRs provide the data records that contain information about the type and number of sensors in the platform, sensor threshold support, chassis intrusion, power supply monitoring, fan speeds, fan presence, board voltages, board temperatures, bus errors, memory errors. SDR are created manually by the users using the information provided by Configuration sheet. In this paper the need to automate the generation of SDR is discussed in two ways: the SDR mapping to the spreadsheets and provided the details without spreadsheets. This paper proposed a solution by implementing of the SDR creation automation tool. We proposed a prototype including an implementation of IPMI‟s Sensor Data Records format module that has been applied to different configuration sheet provided by different engineers. Any changes to the configuration sheet values get updated by using the SDR generation tool. Baseboard Management controller, Field Replacement U nit, IPMI, sensors
[1]. Zhilou Yu and Hua Ji , "Research of IPMI Management based on BMC SOC", 978-1-4244-5326-9/10/ ©2010 IEEE. [3]. Chokchai Leangsuksun, Tirumala Rao, Anand Tikotekar,Stephen L.Scott, Richard libby,Jeffrey S.Vetter, Yung-Chin Fang,Hong Ong," IPMI-based Efficient Notification Framework for Large Scale Cluster Computing", IEEE International Symposium on Cluster Computing and the Grid Workshops (CCGRIDW'06) 0-7695-2585-7/06 © 2006 IEEE
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Subhakanta Dash , S. P. Mohanty |
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| Transportation Programming Under Uncertain Environment | ||||||||||||
In a transportation problem the cost of transportation from source to destination depends on many factors which may not be deterministic in nature. In this work, the unit cost of transportation is considered to be uncertain and the rough cost is assigned to the model. In the solution of such a model, two solutions as pessimistic and optimistic solutions are obtained which suggest a range for the actual solution. Further, using uncertain distribution, one compromise solution process is also proposed.
Transportation Problem, Rough set, Rough variable, Uncertainty measure, Uncertain distribution
[1]. B. Liu, Uncertainty Theory, Springer-Verlag, Berlin, 2007
[2]. B. Liu, Theory and Practice of Uncertain Programming, Physical-Verlag, Heidelberg, 2012 [3]. B. Liu, Uncertainty Theory: An Introduction to its Axiomatic Foundation, Springer-Verlag, Berlin, 2004 [4]. B. Liu, "Inequalities and convergence concepts of fuzzy and Rough variables," Fuzzy Optimization and and Decision Making, vol. 2, pp. 87-100, 2003 [5]. E. Youness, "Characterizing solutions of Rough Programming Problems," European Journal of Operational Research, vol.168, pp. 1019-1029, 2006
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André Michaud |
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| The Mechanics of Neutron and Proton Creation in the 3-Spaces Model | ||||||||||||
Description of the mechanics of creation of protons and neutrons in the 3-spaces model from the mutual capture within a very small volume of space of 2 electrons plus one positron, or alternately, of 2 positrons plus one electron, possessing insufficient energy to escape each other's mutual Coulombian interaction and the mechanics of the - decay process involving the conversion of a neutron to a proton and an electron leading to the eventual emission of neutrinos.
Electron, positron, neutron, proton, neutrino, 3-spaces
[1]. Breidenbach M. et al. (1969) Observed Behavior of Highly Inelastic Electron-Proton Scattering, Phys. Rev. Let., Vol. 23, No. 16, 935-939.
[2]. Walter Greiner & Joachim Reinhardt, Quantum Electrodynamics, Second Edition, Springer Verlag New York Berlin Heidelberg, 1994. [3]. M. Haïssinsky. La chimie nucléaire et ses applications, France, Masson et Cie, Éditeurs, 1957. [4]. Hanson, G, Agrams G.S. et al. (1975). Evidence for Jet Structure in Hadron Production by e+ e- Annihilation. Phys. Rev. Let., Vol. 35, No. 24, 1609-1612. [5]. André Michaud. On The Magnetostatic Inverse Cube Law and Magnetic Monopoles. International Journal of Engineering Research and Development e-ISSN: 2278-067X, p-ISSN: 2278-800X, www.ijerd.com. Volume 7, Issue 5 (June 2013), PP.50-66. (http://www.ijerd.com/paper/vol7-issue5/H0705050066.pdf).
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Lotfie A.Yousif, Mohamed H. Dahab and Haitham R. El Ramlawi |
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| A Computer System Development for Rainfall Analysis and Crop Selection | ||||||||||||
This paper explores the computational and analytical analysis of 18-Bladed HAWT for maximum deflection of blade. In this research article the computation of wind mill blade in ANSYS software was developed and validates those results with analytical analysis. On the basis of this result the comparison has been made between two analyses on blade and finding out the error with this method.
ANSYS, Blade Deflection, 18-bladed HAWT.
[1]. NitinTenguriaet.al."Design and Finite Element Analysis of Horizontal Axis Wind Turbine blade" International Journal of Applied Engineering Research, Dindigul Volume 1, No 3, 2010 ISSN 09764259. [2]. Mr. Jesus Vega Fuentes,et.al. "Design of wind turbine blades of a power of 1000 watts for domestic use." 978-1-61284-1325-5/12, 2012 IEEE. [3]. Mr.V. DíazCasás, et.al. "Automatic Design and Optimization of Wind Turbine Blades" International Conference on Computational Intelligence for Modeling Control and Automation, and International Conference on Intelligent Agents, Web Technologies and Internet Commerce 0-7695-2731-0/06,IEEE. [4]. Arvind Singh Rathore et al., "Design and Analysis of Horizontal Axis Wind Turbine Rotor"., International Journal of Engineering Science and Technology (IJEST) Vol. 3 No.11 November 2011 ISSN : 0975-5462. [5]. Jialin Zhang, et.al. "Design and Research of High-Performance Low-Speed Wind Turbine Blades. "November 2011.IEEE.
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Dr.Sanjar Salajegheh, Nasrin Pirmoradi |
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| Community- Based Disaster Risk Management (CBDRM) and Providing a Model for Iran | ||||||||||||
The CBDRM course provides an opportunity for practitioners to learn essential skills and knowledge in community based disaster risk management to address implementation challenges in a systematic manner. CBDRM participants acquire tools and obtain knowledge on ―how to‖ design and implement programs for reducing disaster risks and vulnerability and building community capacity to promote a ‗culture of safety.' Through exercises and simulations participants practice risk assessment and risk management planning. The CBDRM course tackles the issues in disaster risk management from a developmental perspective, discusses the issues and problems concerning sustainability, replication/ adaptation of CBDRM practice and integration of risk management plans with government and non‐government development plans. According to results, this research is the type of application, and has been done with descriptive method. At first, it has paid to library study and documents including check books, scientific journals, documentation, publications, official and written reports of responsible organizations and done researches by researchers in disaster ,and then it has surveyed the situation of disaster management in Iran and collected necessary information by interviewing and referring to responsible organizations such as red crescent, disaster headquarter of ministry department and high education institute of crescent of Iran .According to obtained information, model of community –base management is suitable for Iran and by using Delphi technique in three stages, the comments of experts and relevant authorities were used and the final model was provided.
disaster management, community based view, disaster-resilient community, disaster-resistant
[1]. Abarquez, Imelda and Zubair Murshed, 2004, Community-based Disaster Risk Management: Field Practitioners' Handbook, ADPC (Adapted from CBDRM-II course materials).
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Pankaj G. Ingole, Asst. Prof. Archana R. Raut |
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| Understanding a Broadcast Service in Low Duty-Cycle Wireless Sensor Network | ||||||||||||
In low-duty-cycle networks, sensors stay dormant most of time to save their energy and wake up based on their needs. Such a technique, while prolonging the network lifetime, sets excessive challenges for efficient broadcast within the network. Broadcast service is widely used during the life time of a wireless sensor network (WSN), such as networking setup, data collection/storage and query answering. In the past few years, many works have been done to improve its efficiency by reducing redundant broadcast messages. However, most of these works assume that all sensor nodes are active throughout a broadcast process and thus are difficult to be deployed in low duty-cycled WSNs where sensor nodes alternate between active and dormant states, so as to conserve energy and extend the network lifetime. These conventional approaches could easily fail to cover the whole network in an acceptable time frame. To this end, we conclude the paper with insights for research directions about broadcast service in low duty cycle wireless sensor network(WSN).
Broadcast, duty cycle, wireless sensor networks
[1]. I. F. Akyildiz, W. Su, Y. Sankarasubramaniam, and E. Cayirci, "A Survey on Sensor Networks," IEEE Communications Magazine, vol. 40, no. 8, pp. 102–114, 2002.
[2]. Feng Wang, Jiangchuan Liu, "On Reliable Broadcast in Low Duty-Cycle Wireless Sensor Networks", IEEE transactions on mobile computing 2012. [3]. Zhichao Cao,Yuan He, Yunhao Liu, " L2 : Lazy forwarding in low duty-cycle wireless sensor network" IEEE INFOCOM 2012. [4]. S. Guo, Y. Gu, B. Jiang, and T. He, "Opportunistic Flooding in Low-Duty-Cycle Wireless Sensor Networks with Unreliable Links ," in MobiCom'09, 2009. [5]. Zhenjiang Li, Mo Li, Junliang Liu, and Shaojie Tang, "Understanding the Flooding in Low-Duty-Cycle Wireless Sensor Networks", Infernational conference IEEE 2011.
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SANDHYA B.L, MAMATHA G.S |
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| Analysis of Data Pooling and Optimization of Storage Management in Cloud | ||||||||||||
This paper focus on analysing and explaining structure of data pooling, online data pooling and partition Storage model, enterprise Cloud Storage System structure proposes the design for data control and Storage in Cloud. Storage Management Control is an effective method that will reduce the working time to large-scale in data Storage management. Combining both Storage devices and control management software will provide system data sharing and system high applicable. By using Cloud Storage Management control mechanism, most of those business enterprises could be benefited.
Data pooling, Storage Management, partition
[1] Han J, Kamber M., Data Mining: Concepts and Techniques [D]. Simon Fraser University, 2000.
[2] KOU Wei-hua, ZHENG Feng-bin, Baton Model for Distributed Database Based on Distributed Application Techniques [J]. Sichuan: Computer Applications, 2003 (12) [3] YI Fa-ling, File System Design on Volume Holographic Storage [J].Sichuan: Computer Applications, 2006(08) [4] Microsoft, SQL Server 2005 Database Development [M]. Higher Education Press, 2007(9) [5] Zuidweg J., Next Generation Intelligent Networks (1st edition) [M]. Artech House, 2002
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A. Harsha Vardhan, A. Sai Bharadwaj, S. Srinivasulu Raju , N.Archana |
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| Implementation of Fuzzy Pid Controller And Performance Comparision With Pid For Position Control Of Dc Motor | ||||||||||||
This paper gives the demonstration about the position control of DC motor using a Fuzzy PID controller to meet the desired position in presence of set point changes the most commonly used controller in the industry field is the proportional-integral-derivative (PID) controller. The PID controllers mostly used in industries due to their robust performance in a wide range of operating conditions & their simple tuning methods. This paper presents design of PID controller with Ziegler-Nichols (ZN) technique for controlling the position of the DC motors. Fuzzy logic controller (FLC) provides an alternate to PID controller, especially when the available system models are inexact or unavailable. Fuzzy logic is one of the most successful applications of fuzzy set in which the variables are linguistic rather than numeric. The design of intelligent control systems has become an area of intense research interest. The development of an effective methodology for the design of such control systems undoubtedly requires the synthesis of many concepts from artificial intelligence. The scopes includes the simulation results of the PID controller, implementation of fuzzy PID controller to position of DC motor In this paper fuzzy PID and proportional-integral-derivative (PID) controllers are compared for controlling the position of direct motors(DC) motors. Simulation results are demonstrated using MATLAB. Performance analysis results are carried out to analyze the effectiveness of the designed Fuzzy PID controller as compared to the ZN tuned PID controller
Position Control DC motor, PID, Fuzzy controller, rule base, Fuzzy ID, MATLAB/SIMULINK.
[1] Arpit Goel, Ankit uniyal, Anurag bahuguna, Rituraj s. patwal and Husain AHMED."Comparison of
PID and fuzzy logic controller using different defuzzification techniques" Journal of Information Systems and Communication ISSN: 0976-8742 & E-ISSN: 0976-8750, Volume 3, Issue 1, 2012, pp.- 235-238. [2] Y. Yuan, H. Zhuang, "A Genetic Algorithm for Generating Fuzzy Classification Rules", Journal of Fuzzy Sets and Systems, Vol 84, pp.1-19, 1996. [3] M. Nikravesh, A.E. Farell, T.G. Stanford, " Control of non-isothermal CSTR with time varying parameters via dynamic neural network control (DNNC) ", Chemical Engineering Journal. [4] R. Ketata, D. Geest, and A. Titli, "Fuzzy Controller: Design, Evaluation, Parallel and Hierarchical Combination with a PID Controller", journal of Fuzzy Sets and Systems, vol 71, pp.113-129, 1995 [5] K. Astrom and T. Hagglund, PID controllers: Theory, design and tuning. 2nd ed., The Instrumentation, Systems and Automation Society (ISA), 1995.
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Nadiya Nesthad, Dr. Kurien E.K., Dr. Mathew E.K., Anu Varughese |
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| Impact of Fertigation and Drip System Layout on Performance of Chilli (Capsicum Annum) | ||||||||||||
Field experiment on Impact of fertigation and drip system layout were conducted at KCAET, Tavanur. The experiment were laid out in factorial randomized block design with treatments which included three irrigation levels 85, 75 and 65% of daily irrigation requirement and two different drip system layout which were replicated thrice. In chilli maximum yield of 458 g/plant which is worked out as 18.32 t/ha was observed for the treatment T5. The benefit cost ratio for treatment T5, 85 per cent of the irrigation requirement with one lateral for each row of crop was 3.8 and treatment T6, 85 per cent of the irrigation requirement with one lateral in between two rows of crop was 3.9. Even though the yield for the treatment T5 was high, the benefit cost ratio stands high for treatment T6. The high value of benefit cost ratio for treatment T6 was due to the reduction in the quantity of material for drip irrigation system.
[1]. Kumar, A. 1992. Fertigation through drip irrigation. In: Singh, H.P and Kaushish S.P., Drip Irrigation. pp. 16-21. In: Singh, H.P., Kaushish, S.P., Ashwani Kumar, Murthy, T.S., Jose, C and Samuel. (eds.). 2001. Micro Irrigation. Central Board of Irrigation and Power, New Delhi, pp. 349-356.
[2]. Mark, W. Rosegrant, Ximing Cai and Sarah. A. Cline. 2002. Global water out look to 2025 – Averting an impending crisis – Food Policy Report. International Water Management Institute, Colombo, Sri Linka, 3p. [3]. Vijayakumar, G., Tamilmani, D. and Selvaraj, P.K. 2007. Irrigaion and Fertigation Scheduling under drip Irrigation in Brinjal crop. IJBSM. 1 (2): 72-76
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C.Thillaiyadi Valliammai, M.Pugazhenthi, S.Sivaji Ganesan |
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| Electrochemical Acetoxylation Of Nitrobenzene At Graphite And Platinum Electrodes | ||||||||||||
Anodic acetoxylation of nitrobenzene has been carried out on graphite and platinum electrodes in glacial acetic acid and sodium acetate. On graphite electrode p-acetoxy nitrobenzene is the major product along with o-acetoxynitrobenzene in minor amount and dimer in traces. By using platinum electrode, the major product is dimer along with p-acetoxynitrobenzene in traces. The most probable mechanism has been proposed.
Anodic acetoxylation, Nitrobenzene, Graphite and platinum electrodes.
[1] Ulrich Griesbach, Andreas Fischer, Hermann Putter and Christos Comniellin, J.Electro anal. Chem.,
614 (2008) 107-112. [2] Kowalski.J, Ploszynska.J, Sobkowiak.A, Moraycki J.W. and Wilczewska A.Z, J. Electro anal. Chem., 4 (2005) 275-280. [3] Toshio Fuchigami, Yuki Nakagawa and Tsutoma Nonaka Tetrahedran 27 (1986) 3869-3872. [4] J.Hoffmann and A.Sarafidis, Jovoss, Electro Chemica Acta; 36 (1991) 1165-1169. [5] H.J.Schafer Topics in Current Chemistry; 152 (1990) 91.
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