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Articles by S. Lokesh
Total Records ( 8 ) for S. Lokesh
  K.C. Shivanandappa , S. Jagannathan , S. Lokesh , R. Vijayakumar and K.R. Mani
  Studies have been undertaken to investigate, the effect of impeller number and its position upon the growth yield of Bordetella pertussis strain 509 during large scale batch cultivation. It was shown that, the maximum growth yield opacity was found to be 70 IOU mL–1 at 48 h cultivation in single impeller fixed at the bottom position of fermentor vessel. Whereas the optimal and moderate culture opacity 60 and 50 IOU mL–1 was observed during the two impellers mounted at two different positions on the shaft. Similarly the least growth yield was obtained during three impeller located at top, middle and bottom region of the shaft and the final opacity was found to be 30 IOU mL–1 at the end of 48 h cultivation with an increasing of culture pH 8.02. However, in two impeller combination experimental study also showed moderate growth yield at 48 h could give to homogenized mixing and good aeration. Thus, the two different location of the impeller combination influences two vortex flows, enhances optimal growth rate, viz; the lower impeller act as gas disperser and creates radial velocity with higher rates of air dispersion, whereas the upper impeller pumps the broth towards down thus the combined agitation of the broth leads to good mixing and even transfer of Dissolved Oxygen (DO2) to the growing cells and found moderate bacterial growth. In the combination of three impellers mounted at three different positions experimental study shown that, lesser growth yield at the end of 48 h cultivation, due to higher forth accumulation.
  S. Lokesh and G. Balakrishnan
  One of the draw back in Spoken Dialogue System through speech is the brittleness of Automatic Speech Recognition (ASR). ASR Systems often unpredicted the user input and they are unreliable when it comes to judging, recognition failures and lacking in estimating the own performance of an interaction system. Humans overtake ASR Systems on most tasks related to speech understanding. One of the reasons is that humans make use of much more knowledge. For example humans appear to take a variety of knowledge-based aspects of the current dialogue into account when processing speech. The main purpose of this study is to investigate whether speech recognition also can benefit from the use of higher level knowledge sources and dialogue context when used in human computer interaction. This review provides more insight into what type of knowledge sources in spoken dialogue systems would be potential contributors to the task of ASR and how such knowledge can be represented computationally. The purpose of this survey was also to exemplify the difficulties that arise when using speech in dialogue systems. Many of these difficulties have also been encountered in the experiments.
  S. Lokesh , O. UMA Maheswari and P. Sakthivel
  As technology processes scale up and design complexities grow, system-on-chip integration continues to rise rapidly. According to these trends, increasing test data volume is one of the biggest challenges in the testing industry. In this study, we propose a test data compression based Three State Skip (TSS) Logic for Low Power Built in Self Test (BIST) applications. The Three State Skip (TSS) primarily aims at reducing the switching activity during a scan by skipping preselected test vectors. For improving the compression efficiency, a Reconfigurable Johnson Counter (RJC) is used to reconfigure and skip function. It is useful to reuse previously used data for making present data by using the function of feedback or tapping of the Linear Feedback Shift Register (LFSR). Three State Skip circuit is developed to achieve little scan power by splitting and skipping long scan chain switching activities. This research solves the challenges faced in Fault detection circuits with the proposed Three State Skip logic. The Efficiency of such system is compared with Two Folded State Skip (TFSS) Logic and generates minimum test patterns by skipping the scan chain.
  S. Lokesh and G. Balakrishnan
  The goal of the proposed study is robust speech feature prediction using mel-LPC to improve the performance of speech recognition in adverse conditions and compares the performance with those standard LPC and MFCC through English dictation system with 14,000 isolated words and 9,000 connected words. The mel-LPC feature prediction is estimated by an optimal value of frequency warping factor that can be estimated from the auto-correlation coefficients and it is computed as the inverse Fourier transform of the power spectrum to generate feature extract vector. Results of the feature extraction are a sequence of 18 mel-LPC coefficients which characteristic of the time-varying spectral properties of the speech signal and these are continuous that can map to discrete vectors in vector quantization codebook. This system is trained by 10 male and 10 female speakers and tested with 200 speakers in noisy and clean environments. Experiments results for various tasks show that with new mel-LPC feature vector system attains isolated and connected word accuracy of 97.5 and 93.2% for male speakers and 96.6 and 92.3% for female speakers with large vocabularies. The result shows that recognition accuracy is relatively higher than LPC and MFCC, respectively.
  S. Rohit , Shriram K. Vasudevan , S. Lokesh , K. Ajeeth and Vineet Nair
  This study aims to develop a system to prevent accidents occurring due to footboard travelling in buses. Tragedies resulting from footboard travelling in buses are one of the prominent examples of road accidents. A 16 year old student was travelling on the footboard of an over crowded MTC (Metropolitan Transport Corporation) bus at Velachery, Chennai, in September, 2010. The youngster was crushed to death under the wheels of the bus when he slipped and fell down. In another incident, a speeding bus, having passengers hanging on the footboard, was hit by a lorry on Rajiv Gandhi Salai, Chennai, in December, 2012. Four students were fatally caught between the bus and the lorry. The basic principle behind the working of the proposed system is to stop the bus from moving when someone stands on the footboard. Even though automatic doors are available, the negligence of the bus drivers to close the door before starting the bus makes the automatic doors moot. But the system ensures that the bus does not move unless the foot board has no passengers and more importantly, only when the doors are closed. In this way, human interference is completely removed there by reducing the number of deaths drastically.
  Mashooda Begum and S. Lokesh
  Seeds of okra (Abelmoschus esculentus (L.) Moench) variety Arka anamika were treated with 5 fungicides including Anucop, Bavistin, Captan, Dithane M-45 and Vitavax with different doses (0.1, 0.2 and 0.3%) and the combination Anucop + Bavistin, Anucop + Captan, Anucop + Vitavax, Bavistin + Vitavax, Anucop + Dithane, Bavistin + Dithane, Bavistin + Captan, Captan + Vitavax, Anucop + Bavistin + Captan, Anucop + Bavistin + Dithane, Anucop + Captan + Vitavax, Bavistin + Captan + Vitavax were used to test their potency against the seed-borne fungal diseases. Among these, Anucop at a concentration of 0.3%, Bavistin @ 0.2%, Captan @ 0.3%, Dithane @ 0.3%, Vitavax @ 0.3% and their combinations, like Anucop + Bavistin, Anucop + Dithane, Bavistin + Dithane, Anucop + Captan + Vitavax, Bavistin + Captan + Vitavax were most effective in the improvement of crop both in greenhouse and field conditions. These chemicals at different doses and in combinations increased the total number of leaves, fruits, mean length, girth and biomass of fruits. Apart from these, the total number of seeds per fruit, seed density and weight and ascorbic acid content were also enhanced. These chemicals reduced the incidence of seed mycoflora, thereby enhancing the seed germination percentage and vigour index of the seedlings.
  B.G. Bharath , S. Lokesh , H.S. Prakash and H.S. Shetty
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  B.G. Bharath , S. Lokesh , B. Yashovarma , H.S. Prakash and H.S. Shetty
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