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Hemalatha, N.
- Common Facility Centre (A Success Strategy of Entrepreneurship Development)
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1 No Affiliation
1 No Affiliation
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Journal of Rural and Industrial Development, Vol 1, No 1 (2013), Pagination: 22-28Abstract
Entrepreneurship is one of the most important elements in the process of economic growth and development for different reasons in any developing country. It is a process by which society changes technological information into products and services. This type of entrepreneurially ambitious innovation in products or services and processes is a critical engine driving the change process in a capitalist society. Entrepreneurship develops and grows not only technologically, but also sequentially and spatial inefficiencies in an economy. Entrepreneurship development related factors have inspired the emergence of entrepreneurship as a field of research and practice to any developing country. While this is one side, for the betterment of existing members those who are having industries in tiny, small and medium industries are in need of support to succeed in their business. In many developed and developing country, a facility called Common Facility Centre has been introduced, which can offer all sort of support within the same area where a group of industries are located by providing the most commonly needed facility such as marketing centers, testing laboratory centers, quality measuring centers, motivates the members and new entrants to come forward to develop their business with help of the Common Facility Centre, it can help them to reduce their operational costs and investment along with time management to complete the entrepreneurial commitment honestly. This study explores the features of Common Facility Centre as a Midas touch to entrepreneurs in increase their confidence level and decrease their operating cost, so that existing members get accelerated and new entrants got activated.Keywords
Entrepreneurship, Tiny Small and Medium Industries, Developing Country, Common Facility Centre, Innovation
- Position Sensorless Control of PMBLDC Motor by Using the Zero Crossings of Line Voltage Differences with Six and Four Switch Inverter-A Comparison
Abstract Views :150 |
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1 Department of Electrical and Electronics Engineering, Adhiparasakthi Engineering College, Melmaruvathur, IN
1 Department of Electrical and Electronics Engineering, Adhiparasakthi Engineering College, Melmaruvathur, IN
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Digital Image Processing, Vol 2, No 4 (2010), Pagination:Abstract
This paper presents a back EMF sensing scheme, indirect back EMF detection, for sensorless control of Brushless DC (BLDC) motor drive from the terminal voltages. Using this scheme, the motor neutral voltage is not needed to measure the back EMF. Instead the method utilizes difference of line voltages measured at the terminals of the motor. The difference of the line voltages shows an inverted and amplified version of the back EMF. Since the motor neutral is not needed, the developed back EMF sensing method is immune to switching noise and common mode voltage. In this paper, a simple position sensorless control strategy for six switch and four-switch three-phase BLDC motor drives is proposed. Four-switch inverter can reduce cost of drivers by replacing power devices with capacitors. The performance of six switch inverter is compared with the four switch inverter. The position sensorless BLDC drive proposed is based on detection of zero crossing from the line voltage differences. The effectiveness of the proposed drive system is clarified from simulation results.Keywords
Back Electromotive Force (EMF) Detection, Brushless DC (BLDC) Motor, Sensorless Control, Zero Crossing, Four Switch Inverter, Six Switch Inverter.- Comparison of Six and Four Switch Inverter Based Position Sensor Less Control of PMBLDC Motor Using the Third Harmonic Back EMF Integration Method
Abstract Views :199 |
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Affiliations
1 Department of Electrical and Electronics Engineering, Adhiparasakthi Engineering College, Melmaruvathur, IN
1 Department of Electrical and Electronics Engineering, Adhiparasakthi Engineering College, Melmaruvathur, IN
Source
Artificial Intelligent Systems and Machine Learning, Vol 2, No 6 (2010), Pagination:Abstract
Permanent Magnet Brushless DC (PMBLDC) motors are one of the electrical drives that are rapidly gaining popularity, due to their high efficiency, good dynamic response, high mechanical power density, simplicity, cost effectiveness and low maintenance. The position of the rotor is estimated by using third harmonic back emf method. The third harmonic voltage component between the networking resistor of the stator phase voltage and the motor neutral point is applied for the sensorless PM BLDC Motor drives. The third harmonic back emf is obtained by adding the terminal voltages of the motor with respect to neutral and then it is integrated to find the third harmonic rotor flux. The resulting third harmonic signal keeps constant phase relationship with the rotor flux under any motor speed and load condition, and is practically free of noise that can be introduced by the inverter switching, making the sensing method. The zero crossing instants of the third harmonic rotor flux give the commutation instants of the inverter. In this paper the BLDC motor is driven with four switch inverter and six switch inverter. Also the performance of the two inverter configurations is compared and the effectiveness is clarified from the simulation results.Keywords
Brushless Direct Current (BLDC) Motor, Sensorless Control, Third Harmonic Back Electromotive Force (EMF) Four Switch Inverter, Six Switch Inverter.- A Machine Learning Approach for Prediction of Domains of DELLA Proteins, a Key Component of Gibberellic Acid Signaling in Plants
Abstract Views :213 |
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Authors
Affiliations
1 ICAR-Central Plantation Crops Research Institute, Kasaragod - 671124, Kerala, IN
2 AIMIT, St. Aloysius College, Mangalore - 575002, Karnataka
3 ICAR-Central Plantation Crops Research Institute, Kasaragod - 671124, Kerala
1 ICAR-Central Plantation Crops Research Institute, Kasaragod - 671124, Kerala, IN
2 AIMIT, St. Aloysius College, Mangalore - 575002, Karnataka
3 ICAR-Central Plantation Crops Research Institute, Kasaragod - 671124, Kerala
Source
Indian Journal of Science and Technology, Vol 9, No 12 (2016), Pagination:Abstract
Background/Objective: For the annotation of large scale proteins, generally computational methods or tools are used. One of the drawbacks of these annotation tools is that they are not specific protein prediction programs. Methods/Analysis: In this study, we implement a machine-learning algorithm for fast and accurate prediction of DELLA proteins. Findings: We developed various modules by using conserved protein domains in DELLA proteins. To evaluate the modules classifiers like sequential minimum optimization, J48 decision tree, AD tree and logistic algorithms were used. By analyzing the results obtained from independent data set and cross-validation tests, maximum accuracy was achieved by logistic algorithm. The developed tool was tested with various inputs and it's showed that the algorithm developed in the study would be helpful in predicting plant DELLA domains. Applications: This tool will significantly contribute to deep level functional genome annotation and development of predictors.Keywords
Algorithms, Coconut, DELLA, Domains, Machine Learning, PredictionFull Text
- Medicinal Plants as Sources of Retina Protective Carotenoids (Lutein, β-carotene) and their Radical Scavenging Property
Abstract Views :338 |
PDF Views:1
Authors
Affiliations
1 Department of Biochemistry and Nutrition, CSIR-Central Food Technological Research Institute, Mysore - 570 020, Karnataka, IN
1 Department of Biochemistry and Nutrition, CSIR-Central Food Technological Research Institute, Mysore - 570 020, Karnataka, IN
Source
The Indian Journal of Nutrition and Dietetics, Vol 56, No 4 (2019), Pagination: 365-380Abstract
The study assesses the Retinol Activity Equivalent (RAE), lutein and zeaxanthin, total polyphenols and antioxidant potential of medicinal plants. Amongst plants, the highest levels (mg/100 g dry weight) of β-carotene and lutein + zeaxanthin were detected in Centella asiatica, (197.5) and V. aroma (894.6). Interestingly, V. aroma (871, 85), Acacia concinna (587, 65), Centella asiatica (404, 198), Oxalis corniculata (501, 196) and Tinospara cordifolia (417, 120) are rich in β-carotene and lutein + zeaxanthin. The RAE (RAE/100 g dry wt.) is higher in A. citratus (9.5), B. diffusa (13.0), C. asiatica (16.5) and V. negundo (10.1) respectively. Total polyphenols were higher in R. officinalis (10.26 mg/g) and B. diffusa (8.07 mg/g). Among plants, R. officinalis, P. amboinicus and B. diffusa, showed highest free-radical scavenging (98%) radical reducing power (73.61%) and inhibition of the peroxidation (33.4%). To conclude, plants having higher levels of RAE and lutein + zeaxanthin can ameliorate vitamin-A deficiency and age-related macular degeneration.Keywords
Lutein + Zeaxanthin, Retinol Activity Equivalent, β-carotene, Vitamin-a Deficiency, Polyphenols.References
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