@Research Paper <#LINE#>Response of Cabbage (Brassica Oleracea) Under Variable Irrigation and Lateral Spacing<#LINE#>M.@Ignatius,M.@Imtiyaz,J.L.G.@Kumar<#LINE#>1-9<#LINE#>1.ISCA-RJEngS-2013-96.pdf<#LINE#>Irrigation and Drainage Engineering, SHIATS, Allahabad, Uttar Pradesh, INDIA @ Faculty of Engineering and Technology, SHIATS, Allahabad, Uttar Pradesh, INDIA @ Department of Soil Water Land Engineering and Management, SHIATS, Allahabad, Uttar Pradesh, INDIA <#LINE#>1/8/2013<#LINE#>10/9/2013<#LINE#> In order to evaluate the effect of irrigation levels (50, 75, 100, 125 and 150 % of pan evaporation replenishment) and lateral spacing (0.5 m and 1.0 m) on marketable yield, irrigation production efficiency and economic return of cabbage under drip irrigation system and semi arid climate, a field experiment was conducted at the Irrigation Research Farm of Allahabad, India. The study was carried out during the winter crop growing season of 2012-2013 (Nov. to March) on clay loam soil. The highest mean marketable yield of cabbage (84.14 t/ha) during crop growing season was recorded when irrigation was applied at 125 % of pan evaporation replenishment with laterals in every rows and 0.5 m lateral spacing (LS). A further increase in irrigation amount resulting from 150% of pan evaporation replenishment reduces the marketable yield significantly. Irrigation at 50% of pan evaporation replenishment gave the higher irrigation production efficiency of 38.33 kg/m3 with LS irrigation method. Minimum irrigation production efficiency was recorded with 150 % of pan evaporation replenishment (9.29 kg/m) with laterals in alternate rows and 0.5 m lateral spacing (LS) because it increases seasonal water applied considerably but decreases the marketable yield. Irrigation at 125 % of pan evaporation replenishment and 0.5 m lateral spacing (LS) resulted in higher gross return (705066 Rs/ha), net return (633496 Rs/ha) and benefit cost ratio (9.84). In spite of higher initial investment, irrigation level of 125 % of pan evaporation replenishment and LS drip irrigation method is highly profitable for cabbage production in the region..<#LINE#> @ @ Amer A.M., Evaluation of surface irrigation as a function of water infiltration in cultivated soils in the Nile Delta, Irrigation and Drainage Systems,25(4), 367-383 (2011) @No $ @ @ Ghamarnia H. and Gholamian M., The effect of saline shallow ground and surface water under deficit irrigation on (Carthamus tinctorius L.) in semi arid condition, Agric. Water Manage,118, 29-37 (2013) @No $ @ @ Imtiyaz M., Mgadla N.P., Chepet B. and Manase S.K.,Marketable yield, water use efficiency an decobomicreturn of cabbage, carrot an donion as influenced by irrigation schedules, Proc. of international Agricultral Engineerngcoference, Asian institute of technology, Bangkok, 312 (2000d) @No $ @ @ Azevedo L.P. de. and Saad J.C.C., The use of two drippers spacing in the same lateral line, their effects on the soil wet bulb and radish physical parameters, [Portuguese] IRRIGA, 17(2), 148-167 (2012) @No $ @ @ Tiwari K N. and Reddy K.Y., Economic analysis of trickle irrigation system considering planting geometry, Agric. Water Manage, 34, 195-206 (1998) @No $ @ @ Badr A.E., Abuarab M.E., Soil moisture distribution patterns under surface and subsurface drip irrigation systems in sandy soil using neutron scattering technique, Irrig. 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Proceedings of the International Agricultural Engineering Conference, Bangkok, Thailand (2007) @No $ @ @ Thakur B.C. and Spehia R.S., Studies on effect of drip lateral spacing and population density on yield of cauliflower (Brassica oleracea L. var. botrytis) under drip irrigation. International Journal of Agricultural Sciences, 1(1), 72-74. 7 (2005) @No $ @ @ Imtiyaz M., Mgadla N.P., Chepete B. and Manase S.K., Response of six vegetable crops to irrigation schedules, Agric. Water Manage,45, 331-342 (2000b) @No $ @ @ Mahadi M., Kaisi A.I., Berrada A. and Stack M., Evaluation of irrigation scheduling programme and spring wheat yield response in South Western Colorado, Agric. Water Manage, 34, 37-148 (1997) @No $ @ @ Boesveld H., Zisengwe L.S. and Yakami S., Drip Planner Chart: a simple irrigation scheduling tool for smallholder drip farmers. Irrigation and Drainage Systems,25(4), 323-333. 28 (2011) @No $ @ @ Al-Ghobari H.M. and El-Marazky M.S.A., Surface and subsurface irrigation systems wetting patterns as affected by irrigation scheduling techniques in an arid region. African Journal of Agricultural Research,7(44), 5962-5976. 38 (2012) @No $ @ @ Thakur M.C., Lal S. and Joshi A., Effect of different training systems and spacing on yield and quality characters and its impact on economics of tomato production, Horticultural Journal, 18(1), 64-68 15 (2005) @No $ @ @ James L.D. and Lee R.R., Economic of water resources planning M. C-Graw Hill, New Delhi, 20 (1971) @No $ @ @ Imtiyaz M., Mgadla N.P., Manase S.K., Chendo K. and Mothobi E.O., Yield and economic return of vegetable crops under variable irrigation, Irrig. Sci.,19, 87-93 (2000a) @No $ @ @ Dingre S.K., Pawar D.D. and Kadam K.G., Productivity, water use and quality of onion (Allium cepa) seed production under different irrigation scheduling through drip, Indian Journal of Agronomy,57(2), 186-190 (2012) @No $ @ @ Enciso J.M., Colaizzi P.D. and Multer W.L., Economic analysis of subsurface drip irrigation lateral spacing and installation depth for cotton, Transactions of the ASAE,48(1), 197-204.28 (2005) @No $ @ @ Wanga D., Kang Y. and Wana S., Effect of soil matric potential on tomato yield and water use under drip irrigation condition, Agric. Water Manage, 87, 180–186 (2007) @No $ @ @ Imtiyaz M., Srivastava S.K. and Alam M.A., Yield and economic return of tomato as influenced by irrigation schedules and lateral spacing Proceedings of the 10thInternational Agricultural Engineering Conference, Bangkok, Thailand (2009) @No <#LINE#>Measurement of Power and Energy Using Arduino<#LINE#>P.@Srividyadevi,D.V.@Pusphalatha,P.M@Sharma<#LINE#>10-15<#LINE#>2.ISCA-RJEngS-2013-115.pdf<#LINE#> Gokaraju Rangaraju Institute of Engineering and Technology (Autonomous) Hyderabad Andhrapradesh, INDIA<#LINE#>1/10/2013<#LINE#>17/10/2013<#LINE#> This paper deals with the measurement of power and energy using Arduino. The demand for power has increased exponentially over the last century. One avenue through which today’s energy problems can be addressed is through the reduction of energy usage in households. This has increased the emphasis on the need for accurate and economic methods of power measurement. The goal of providing such data is to optimize and reduce their power consumption. This paper explains the process of a condensed design explaination and implementation of a laboratory –scale prototype which includes the energy measurement of the given load and its advantages <#LINE#> @ @ Cataliotti A. and Cosentino V., A PC-based wattmeter for high accuracy power measurements, Instrumentation and Measurement Technology Conference (I2MTC), IEEE 1453–1458 (2010) @No $ @ @ Misakian, Measurement of electrical parameters near AC and DC power lines Instrumentation and Measurement Technology Conference, IMTC-88 Conference Record, 5th IEEE (1988) @No $ @ @ Kuznetsov V., Kuznetsov A., Measurement of power quality factors in electricalnetworks, Precision Electromagnetic Measurements Digest, Conference (1996) @No $ @ @ IEEE Master Test Guide for Electrical Measurements in Power CircuitsIEEE Power and Energy Society(1989) @No $ @ @ Driesen J., Deconinck, Development of a measurement system for power quantities in electrical energy distribution systems, Instrumentation and Measurement Technology Conference. IMTC/2002, Proceedings of the 19th IEEE Page(s), 2, 1625-1630 (2002) @No $ @ @ Influence of Instrument Transformers on Quality of Electrical Power and Energy Measurement Industrial Electronics, ISIE IEEE International symposium (2007) @No $ @ @ IEEE Master Test Code for Electrical Measurements in Power Circuits Power Engineering Society, IEEE Std 120-1955; ASME PTC 19.6-1955 (1955) @No $ @ @ A.K. Sawhney, A Course In Electrical And Electronic Measurements And Instrumentation, Publisher, Dhanpat Rai and Co., (2005) @No $ @ @ T.E.D. Liacco Real-Time Computer control of Power Systems, Proceedings of the IEEE,62(7), 884 -891 (1975) @No $ @ @ D. Al. Katsaprakakis, D.G. Christakis, A. Zervos and S. Voutsinas, A Power Quality Measure, IEEE Transactions on Power Delivery,23(2),(2008) @No $ @ @ Sandesh J., Singh T.S. and Phulambrikar S.P., improve power factor and reduce the harmonic distortion of the system, Research Journal of Engineering Sciences, (5),31-36 (2012) @No @Research Article <#LINE#>Maximization of Fusing Machine Utilization through Leaner approach in Fabric Preparation and Feeding in Fusing Section of Woven garments<#LINE#>NomanHossain@Chowdhury,AlHaque@Shabab,S.M.@Arifuzzaman<#LINE#>16-21<#LINE#>3.ISCA-RJEngS-2013-117.pdf<#LINE#>School of Business, State University of Bangladesh (SUB), Dhaka, BANGLADESH @ Head of Industrial Engineering, Group QA, Dhaka, BANGLADESH @ Faculty of Business Administration, East-West University (EWU), Dhaka, BANGLADESH <#LINE#>12/10/2013<#LINE#>18/10/2013<#LINE#> Like experts in any other manufacturing industries, garments experts are also concerned of all pressing efficiency issues like low productivity, longer production lead time, high rework and rejection, poor line balancing, low flexibility of style changeover etc. Continuous studies in different domains in garments manufacturing are contributing in gaining increasing efficiency and lowering wastes. These problems were addressed in this study by the implementation of a number of lean approaches. This study is conducted in the fusing section of a garments manufacturing company. Study includes time studies between three approaches for preparation of fabrics for feeding and tries to come up with the most efficient approach of all. <#LINE#> @ @ Bheda R., Narag A.S. and Singla M.L., Apparel Manufacturing a Strategy for Productivity Improvement, Journal of Fashion Marketing and Management, 7(1), 12-22, MCB up limited, 2003. 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Deepak, Applications of Different Optimization Methods for Metal Cutting Operation – A Review, Research Journal of Engineering Sciences, 1(3), 52-58 (2012) @No $ @ @ Shah J.N. and Shah S.R., Innovative Plasma Technology in Textile Processing: A Step towards Green Environment, Research Journal of Engineering Sciences, , 2(4), 34-39 (2013) @No $ @ @ Shah S.R., Chemistry and Applications of Cellulase in Textile Wet Processing, Research Journal of Engineering Science, 2(7), 1-5 (2013) @No $ @ @ Md. Mazedul Islam, Adnan Maroof Khan, Md. Monirul Islam, Textile Industries in Bangladesh and Challenges of Growth, Research Journal of Engineering Sciences,2(2), 31-37 (2013) @No $ @ @ Ningombam Devarani Devi, Sorokhaibam Khaba, Pranab Kumar Dan, A Study on Application of lean Manufacturing Methodologies in Indian Electronics Manufacturing Industry, Research Journal of Engineering Science, 2(5), 11-14 (2013) @No $ @ @ Drew J., Blair M. and Stefan R., Journey to Lean: Making Operational Change Stick,Gordonsville, VA, USA: Palgrave Macmillan. 5-25 (2004) @No $ @ @ Harrison A., Just-in-Time Manufacturing in Perspective, Prentice Hall, (1992) @No $ @ @ Slack N., et al. Operations Management, 4th edn, FT Prentice Hall (2004) @No