Relevant bibliographies by topics / OTLBO

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Academic literature on the topic 'OTLBO'

Author: Grafiati
Published: 11 September 2023

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Journal articles on the topic "OTLBO"

1

Doroudi, Siyamak, Ahmad Sharafati, and Seyed Hossein Mohajeri. "Estimation of Daily Suspended Sediment Load Using a Novel Hybrid Support Vector Regression Model Incorporated with Observer-Teacher-Learner-Based Optimization Method." Complexity 2021 (March 2, 2021): 1–13. http://dx.doi.org/10.1155/2021/5540284.

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Predicting suspended sediment load (SSL) in water resource management requires efficient and reliable predicted models. This study considers the support vector regression (SVR) method to predict daily suspended sediment load. Since the SVR has unknown parameters, the observer-teacher-learner-based Optimization (OTLBO) method is integrated with the SVR model to provide a novel hybrid predictive model. The SVR combined with the genetic algorithm (SVR-GA) is used as an alternative model. To explore the performance and application of the proposed models, five input combinations of rainfall and discharge data of Cham Siah River catchment are provided. The predictive models are assessed using various numerical and visual indicators. The results indicate that the SVR-OTLBO model offers a higher prediction performance than other models employed in the current study. Specifically, SVR-OTLBO model offers highest Pearson correlation coefficient (R = 0.9768), Willmott’s Index (WI = 0.9812), ratio of performance to IQ (RPIQ = 0.9201), and modified index of agreement (md = 0.7411) and the lowest relative root mean square error (RRMSE = 0.5371) in comparison with SVR-GA (R = 0.9704, WI = 0.9794, RPIQ = 0.8521, and md = 0.7323, 0.5617) and SVR (R = 0.9501, WI = 0.9734, RPIQ = 0.3229, md = 0.4338, and RRMSE = 1.0829) models, respectively.
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2

Prakash, Anand, R. K. Yadav, and Daya Gupta. "Sensor Node Deployment based on OTLBO in WSN." Procedia Computer Science 57 (2015): 988–95. http://dx.doi.org/10.1016/j.procs.2015.07.500.

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3

Mukhopadhyay, Pranabesh, Susanta Dutta, and Provas Kumar Roy. "Optimal Location of TCSC Using Opposition Teaching Learning Based Optimization." International Journal of Energy Optimization and Engineering 4, no. 1 (January 2015): 85–101. http://dx.doi.org/10.4018/ijeoe.2015010106.

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This paper focuses on the optimal power flow solution and the enhancement of the performance of a power system network. The paper presents a secured optimal power flow solution by integrating Thyristor controlled series compensator (TCSC) with the optimization model developed under overload condition. The Teaching Learning Based Optimization (TLBO) has been implemented here. Recently, the opposition-based learning (OBL) technique has been applied in various conventional population based techniques to improve the convergence performance and get better simulation results. In this paper, opposition-based learning (OBL) has been integrated with teaching learning based optimization (TLBO) to form the opposition teaching learning based optimization (OTLBO). Flexible AC Transmission System (FACTS) devices such as Thyristor controlled series compensator (TCSC) can be very effective for power system security. Numerical results on test systems IEEE 30-Bus with valve point effect is presented and compared with results of other competitive global approaches. The results show that the proposed approach can converge to the optimum solution and obtains the solution with high accuracy.
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4

Soltani, Nader, Christy Shropshire, and Peter H. Sikkema. "Responses of Various Market Classes of Dry Beans (Phaseolus vulgarisL.) to Linuron." Weed Technology 20, no. 1 (March 2006): 118–22. http://dx.doi.org/10.1614/wt-04-070r1.1.

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Tolerance of eight market classes of dry beans (black, brown, cranberry, kidney, otebo, pinto, white, and yellow eye beans) to the PRE application of linuron at the rate of 2.25 and 4.50 kg ai/ha was studied at two locations in Ontario, Canada, in 2003 and 2004. The eight market classes differed in their response to linuron. Linuron PRE caused as much as 43, 20, 7, 17, 54, 36, 56, and 12% visual injury in black, brown, cranberry, kidney, otebo, pinto, white, and yellow eye beans, respectively. Linuron PRE at 2.25 kg/ha reduced plant height 38% in otebo beans and 31% in white beans. Linuron PRE at 4.50 kg/ha reduced plant height 24 to 56% in black, brown, otebo, pinto, and white beans. Shoot dry weight was reduced in otebo beans by 56% and in white beans, by 46% at the low rate. Shoot dry weight was decreased 26 to 92% in black, otebo, pinto, white, and yellow eye beans at the high rate. There were no differences in the shoot dry weight of the other market classes. Linuron PRE at the low rate reduced otebo bean yield 42% and at the high rate reduced yields by 56, 74, and 61% in black, otebo, and white beans, respectively. There was no effect on the yield of other market classes. Differences in dry bean market class tolerance to linuron exists and may be summarized for these cultivars as cranberry > kidney > brown > yellow eye > pinto > black > white > otebo. Additional research is needed to determine if cultivars within a dry bean market class differ in their response to linuron.
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Soltani, Nader, Christy Shropshire, and Peter H. Sikkema. "Response of dry beans to halosulfuron applied postemergence." Canadian Journal of Plant Science 92, no. 4 (July 2012): 723–28. http://dx.doi.org/10.4141/cjps2011-220.

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Soltani, N., Shropshire, C. and Sikkema, P. H. 2012. Response of dry beans to halosulfuron applied postemergence. Can. J. Plant Sci. 92: 723–728. Four field trials were conducted over a 2-yr period (2009 and 2010) at Exeter and Ridgetown, Ontario, to evaluate the tolerance of adzuki, black, cranberry, kidney, otebo, pinto, Small Red Mexican and white beans to halosulfuron applied postemergence (POST) at 35 and 70 g a.i. ha−1. All treatments including the non-treated control were maintained weed free during the growing season. Halosulfuron applied POST caused as much as 73, 7, 13, 12, 12, 11, 11 and 9% injury in adzuki, black, cranberry, kidney, otebo, pinto, Small Red Mexican (SRM) and white beans, respectively. Halosulfuron applied POST reduced adzuki bean height as much as 52 and 70% at Exeter and Ridgetown, respectively. Plant height was not affected in the other market classes of dry bean evaluated. Halosulfuron POST reduced shoot dry weight of adzuki bean 68% at both rates evaluated. Otebo and SRM bean shoot dry weight were not affected when halosulfuron was applied POST at 35 g a.i. ha−1 but otebo bean shoot dry weight was reduced 12% and SRM bean shoot dry weight was reduced 14% at 70 g a.i. ha−1. Shoot dry weight of black, cranberry, kidney, pinto and white bean was not affected with either rate of halosulfuron. Seed yield of adzuki bean was decreased 58% at 35 g a.i. ha−1 and 68% at 70 g a.i. ha−1 with halosulfuron. White bean yield was not affected with halosulfuron applied POST at 35 g a.i. ha−1 but was reduced 9% at 70 g a.i. ha−1. Seed yield of black, cranberry, kidney, otebo, pinto and SRM bean was not reduced with either rate of halosulfuron. Based on these results, there is not an adequate margin of crop safety for halosulfuron POST in adzuki bean. However, there is potential for POST application of halosulfuron in black, cranberry, kidney, otebo, pinto, SRM and white beans.
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6

Sikkema, Peter H., Darren E. Robinson, Christy Shropshire, and Nader Soltani. "Tolerance of Otebo Bean (Phaseolus vulgaris) to New Herbicides in Ontario." Weed Technology 20, no. 4 (December 2006): 862–66. http://dx.doi.org/10.1614/wt-05-144.1.

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Weed management is a major production issue facing otebo bean growers in Ontario. Field trials were conducted at six Ontario locations during a 2-yr period (2003 and 2004) to evaluate the tolerance of otebo bean to the preplant incorporated (PPI) application of EPTC at 4,400 and 8,800 g ai/ha, trifluralin at 1,155 and 2,310 g ai/ha, dimethenamid at 1,250 and 2,500 g ai/ha,S-metolachlor at 1,600 and 3,200 g ai/ha, and imazethapyr at 75 and 150 g ai/ha. EPTC, trifluralin, dimethenamid, andS-metolachlor applied PPI resulted in minimal (less than 5%) visual injury and with exception of the low rate of dimethenamid causing a 16% reduction in shoot dry weight and the high rate causing an 8% plant height reduction had no adverse effect on plant height, shoot dry weight, seed moisture content, and yield. Imazethapyr applied PPI caused up to 7% visual injury and reduced plant height, shoot dry weight, and yield 8, 18, and 12% at 75 g/ha and 19, 38, and 27% at 150 g/ ha, respectively. Seed moisture content was also reduced by 0.4% with both rates. Based on these results, otebo bean is not tolerant of imazethapyr applied PPI at rates as low as 75 g/ha, the proposed use rate. EPTC, trifluralin, dimethenamid, andS-metolachlor applied PPI have a 2× rate crop safety margin for use in otebo bean weed management.
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Kelly, James D., Gregory V. Varner, Belinda Roman, and Brian Long. "Registration of ‘Fuji’ Otebo Bean." Journal of Plant Registrations 3, no. 3 (September 2009): 223–25. http://dx.doi.org/10.3198/jpr2008.12.0733crc.

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8

Kelly, James D., Gregory V. Varner, Sharon Hooper, Karen A. Cichy, and Evan M. Wright. "Registration of ‘Samurai’ Otebo Bean." Journal of Plant Registrations 10, no. 2 (March 4, 2016): 109–14. http://dx.doi.org/10.3198/jpr2015.09.0051crc.

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9

David, Otobo Daniel, and Okoro Ijeoma Ngozi. "Otobo Daniel David and Okoro Ijeoma Ngozi." International Journal of Advanced Community Medicine 4, no. 3 (July 1, 2021): 13–16. http://dx.doi.org/10.33545/comed.2021.v4.i3a.199.

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10

Soltani, Nader, Robert E. Nurse, Christy Shropshire, and Peter H. Sikkema. "Effect of Halosulfuron Applied Preplant Incorporated, Preemergence, and Postemergence on Dry Bean." Weed Technology 23, no. 4 (December 2009): 535–39. http://dx.doi.org/10.1614/wt-09-047.1.

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Five field trials were conducted over a 2-yr period (2007, 2008) at various locations in Ontario to evaluate the tolerance of black, cranberry, kidney, otebo, pink, pinto, small red Mexican (SRM), and white bean to halosulfuron applied PPI, PRE, and POST at 35 and 70 g ai/ha. There was minimal injury (3% or less) with halosulfuron applied PPI or PRE in dry bean. At Exeter and Ridgetown, halosulfuron applied POST at 35 and 70 g/ha caused 3 to 5% and 4 to 8% injury in dry bean, respectively at 1 wk after herbicide application (WAA). The injury was transient with no significant injury at 2 and 4 WAA. At Harrow, halosulfuron POST at 35 and 70 g/ha caused as much as 4% injury at 35 g/ha and 14% injury at 70 g/ha in dry bean. Halosulfuron applied PPI, PRE, and POST at 35 and 70 g/ha caused no decrease in plant height of dry bean except for kidney bean, which was reduced 6% at 70 g/ha, and white bean, which was reduced 3% at both 35 and 70 g/ha. Halosulfuron applied PPI, PRE, and POST at 35 and 70 g/ha caused no decrease in dry bean yield except for kidney bean, which was reduced 9% at 35 g/ha and 10% at 70 g/ha; otebo bean, which was reduced 3% at 70 g/ha; and white bean, which was reduced 7% at both 35 and 70 g/ha. On the basis of these results, there is an adequate margin of crop safety in dry bean to halosulfuron applied PPI or PRE at 35 and 70 g/ha. In addition, there is an adequate margin of crop safety in black, cranberry, pink, pinto, and SRM bean to halosulfuron applied POST at 35 and 70 g/ha. However, further research is required to ascertain the tolerance of kidney, otebo, and white bean to halosulfuron applied POST.
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Dissertations / Theses on the topic "OTLBO"

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PRAKASH, ANAND. "A HYBRID APPROACH TO OPTIMIZE NODE DEPLOYMENT & COVERAGE CONNECTIVITY IN WIRELESS SENSOR NETWORK." Thesis, 2016. http://dspace.dtu.ac.in:8080/jspui/handle/repository/14761.

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In this dissertation, we address the problem of finding an optimal coverage of sensor nodes in WSN while ensuring connectivity among sensors. This connectivity preservation is achieved without using centralized control and accurate location information. The optimal node coverage is done according to OTLBO (Orthogonal Teaching Learning Based Optimization) in order to improve network coverage. OTLBO is an improvement over TLBO (Teaching Learning Based Optimization) that makes TLBO fast to converge and more robust. OTLBO is a recent approach in the optimization field. The connectivity preservation algorithm is localized and is based on a subset of neighbors for taking motion decision. The connectivity preserving algorithm maintains a connected topology; the distance covered by the mobile nodes is constrained by the connectivity of the node to its neighbors in a connected sub-graph like the relative neighborhood graph. Finally the node coverage is based on OTLBO optimization technique.
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Books on the topic "OTLBO"

1

Chick, Jack T. ?AK?M ???OTBO? ??TT?! - Ukrainian - This Was Your Life. Chick Publications, Incorporated, 1989.

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