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Manivannan, V.
- Biosorption of Zn(II), Cu(II) and Cr(VI) from Textile Dye Effluent Using Activated Coconut Fiber
Abstract Views :427 |
PDF Views:92
Authors
Affiliations
1 Department of Chemistry and Biosciences, SRC Campus, SASTRA University, Kumbakonam, Tamil nadu, IN
2 Department of Research and Development, PRIST University, Thanjavur. Tamil nadu, IN
1 Department of Chemistry and Biosciences, SRC Campus, SASTRA University, Kumbakonam, Tamil nadu, IN
2 Department of Research and Development, PRIST University, Thanjavur. Tamil nadu, IN
Source
Indian Journal of Science and Technology, Vol 2, No 8 (2009), Pagination: 1-4Abstract
This paper presents the performance of the low cost adsorbent coconut fiber in removing the heavy metals such as Zn(II), Cu(II) and Cr(VI) from textile dye effluent. Biosorption studies were carried out for various parameters such as adsorbent dosage, pH and contact time. The maximum removal of heavy metal ions from the textile dye effluent using activated coconut fiber was evaluated successfully through the percentage of seed germination of Vigna mungo L. with the treated adsorbents.Keywords
Biosorption, Zn(II), Cu(II), Cr(VI), Activated Coconut Fiber, Textile Dye Effluent, Seed Germination, Vigna Mungo L.Full Text
References
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- A Comparative Study between Emg Biofeedback Facilitated Exercise and Exercises alone on Recovery Rate of Quadriceps Femoris Muscle Strength Following Anterior Cruciate Ligament Reconstruction
Abstract Views :508 |
PDF Views:0
Authors
Affiliations
1 Amar Jyoti Institute of Physiotherapy, Delhi, IN
2 Consultant Ortho Surgeon, L. K. M. Hospital, Erode, IN
3 Nandha College of Physiotherapy, Erode, IN
1 Amar Jyoti Institute of Physiotherapy, Delhi, IN
2 Consultant Ortho Surgeon, L. K. M. Hospital, Erode, IN
3 Nandha College of Physiotherapy, Erode, IN
Source
Indian Journal of Physiotherapy & Occupational Therapy-An International Journal, Vol 8, No 2 (2014), Pagination: 230-235Abstract
Background: The pupose of this study was to investigate the efficacy of electromyography-biofeedback (EMG-B) on quadriceps muscle strength after Anterior cruciate ligament reconstruction.
Method: The patients were randomly divided into two groups each consisting of 20 subjects. For the control group, a classical exercise program was given and the experimental (biofeedback) group received five sessions of EMG-B application every week for 2 weeks postoperatively, inaddition to classical exercise programe. EMG electrical activity values of vastus medialis obliques (VMO), and vastus lateralis (VL) and Lysholm knee score were measured postoperatively on the 3rd and 14th day.
Results: When Lysholm knee scores on the 3rd and 14th day were compared in the control and biofeedback groups there was a statistically significant difference in favour of the biofeedback group (p<0.01).
Conclusions: Our results showed that EMG-B was an effective treatment modality in improving quadriceps muscle strength after Anterior cruciate ligament reconstruction surgery.
Keywords
Electromyography, Biofeedback, Anterior Cruciate Ligament Reconstruction
- Study on the Impact of the System of Rice Intensification in less Water Endowed Areas of Tamil Nadu
Abstract Views :250 |
PDF Views:0
Authors
Affiliations
1 Tamil Nadu Agricultural University, Coimbatore (T.N.), IN
2 State Planning Commission, Chennai (T.N.), IN
3 Regional Research Station, Virudhachalam, Cuddalore (T.N.), IN
1 Tamil Nadu Agricultural University, Coimbatore (T.N.), IN
2 State Planning Commission, Chennai (T.N.), IN
3 Regional Research Station, Virudhachalam, Cuddalore (T.N.), IN
Source
International Journal of Agricultural Sciences, Vol 12, No 2 (2016), Pagination: 234-237Abstract
System of rice intensification (SRI) is a novel method of rice cultivation based on a set of simple synergistic practices. They aim to change the management of rice plants and soil, water and nutrients that supports them in simple but specific ways. Success of SRI depends on strict adoption of its five major components viz., young seedlings with mat nursery, single seedling planting, square planting, alternate wetting and drying of irrigation management and mechanical weeder usage. Among the five components, raising young seedling in the mat nursery, planting single seedling and square planting are the most important components that paves the way for increasing the yield of rice crop in irrigated rice systems. Proponents of SRI have reported that the average rice yield with SRI can be doubled from the current average yield level and there exists potential to the tune of increasing the yield level by three to four times. An attempt was made to evaluate the impact of adoption of SRI practices on rice yields, its economics in rice cultivation and labour inputs based on field research conducted in Varahanadhi Sub Basin, Villupuram and Tiruvannamalai districts, Tamil Nadu State, India. Rice yields with SRI were higher than those under conventional paddy cultivation by 34.35 per cent and net returns were higher by 33.24 per cent. SRI adoption enabled farmers consistently to enhance rice yields, increase returns and save labour cost and enhance productivity with respect to the key inputs in terms of rice output per unit of seed, water and fertilizer. SRI promises to be a significant alternative not only for raising rice yields, but also for managing rice based farming in wet lands ecosystem.Keywords
System of Rice Intensification (SRI), Rice Yield, Tamil Nadu.References
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- Paddalia, C.R. (1981). Effect of age of seedling on the growth and yield of transplanted rice. Oryza, 18 : 165-167.
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- Samal, P. and Pandey, S. (2005). Climatic risks, rice production losses and risk coping strategies: A case study of a rainfed Village in Coastal Orissa. Agril. Econ. Res. Rev., 18 : 61-72.
- Satyanarayana, A. (2005). System of rice intensification-an innovative method to produce more with less water and inputs. In: Paper Presented in Fourth IWMI-Tata Annual Partners’ Meet, IRMA, Anand, India, February 24-26.
- Senthilkumar, K., Bindraban, P.S., Thiyagarajan, T.M. de Ridder, N. and Giller, K.E. (2008). Modified rice cultivation in Tamil Nadu, India: Yield gains and farmers’ (lack of) acceptance. Agril. Syst., 98 : 82-94.
- Stoop, W.A., Uphoff, N. and Kassam, A. (2002). A review of agricultural research issues raised by the system of rice intensification (SRI) from Madagascar: opportunities for improving farming systems for resource-poor farmers. Agric. Syst. 71 : 249-274.
- Thiyagarajan, T.M., Senthilkumar, K., Bindraban, P.S., Hengsdijk, H. and Ramasamy, S. (2002). Crop management options for increasing water productivity in rice. J. Agric. Res. Mgmt., 1 : 169-181.
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- Uphoff, N. (2002). System of rice intensification (SRI) for enhancing the productivity of land, labour and water. J. Agric. Res. Mgmt., 1 : 43-49.
- Uphoff, N. and Randriamiharisoa, R. (2002). Reducing water use in irrigated rice production with the Madagascar System of Rice Intensification. In: Bouman, B.A.M., Hengsdijk, H., Hardy, B., Bindraban, P.S., Tuong, T.P., Ladha, J.K. (Eds.), Water-Wise Rice Production. IRRI, Los Banos, Philippines, pp. 71–87.
- Yasuhiro Tsujimoto, Takeshi Horie, Hamon Randriamihary, Tatsuhiko Shiraiwa and Koki Hommaa (2009). Soil management: The key factors for higher productivity in the fields utilizing the system of rice intensification (SRI) in the central highland of Madagascar. Agril. Sys., 100 : 61-71.
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- Improvement to Deregulated Power System with UPFC by using Bee Colony and Neuro-Fuzzy
Abstract Views :124 |
PDF Views:3
Authors
Source
International Journal of Innovative Research and Development, Vol 3, No 2 (2014), Pagination:Abstract
To maintain power stability in transmission line, We go for external device to maintain and to regulate voltage. FACTS device plays vital role in the power flow control and system stability optimization in the transmission line. Unified Power Flow Controller (UPFC) is a common FACTS device whose performance is based on the controller used in the Specified bounds ” Maintaining Voltage Stability With UPFC Using Bees Algorithm, Neuro-Fuzzy and NN” addresses the allocation optimization based on the Voltage stability to place UPFC in power system and rated using bee and Neural Network in optimization method. Here, the Neural network (NN) is used to identify the prime location for fixing FACTS controller. Neuro-fuzzy is used to Filter the output from NN and find the optimizes result for fixing facts controller. Bees algorithm or Bee colony is used to calculate the amount of voltage and angle to be injected in the system. The results obtained using Bees algorithm, Neuro Fuzzy and Neural Network. Simulation carried out on an IEEE - 9 bus system on different load condition.
Keywords
Bees algorithm, Neuro-fuzzy, Neural Network (NN), UPFCFull Text