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Search Results: 1 - 10 of 191230 matches for " D. Jothi "
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Application of Enzyme Extracted from Aloe vera Plant in Chemical Pretreatment of Cotton Knitted Textile to Reduce Pollution Load  [PDF]
D. Jothi
World Journal of Engineering and Technology (WJET) , 2015, DOI: 10.4236/wjet.2015.33B007

Nowadays, highly alkaline chemicals like caustic soda, soda ash, silicate, acetic acid and soaping agents are used for scouring to remove the non-cellulosic impurities from the cotton. Using 30 - 40 gm/Kg on weight of the fabric results in destruction of cotton structure. Intensive rinsing and more acid is needed for reutilization of cotton, which enlarges the volume of effluent. Furthermore, these hazards chemicals result in increase in COD, BOD and TDS in waste water. These chemicals also attack the cellulose leading to heavy strength loss and weight loss in the fabric. The net result is low quality control and polluted environment with high usage of energy, time, chemical and water. Aloe vera presents the finest commercial opportunity in various industrial sectors among the various plants. Also, most of the countries are gifted with the unique geographical features that are essential for cultivation of Aloe vera. Yet, none of the country has realized and reaped the full potential of such plants in various industrial applications. The reason is simple: lack of the requisite expertise in extraction of various enzymes present in aloe plant. Fortunately, the technology is now accessible to make use of enzyme in textile application. In this research an attempt has been made to make use of lipase enzyme extracted from aloe plant in textile chemical pre- treatment process. In the present research work, an attempt was made to develop bio scouring of 100% cotton knitted fabric with lipase enzyme extracted from Aloe deberena plant at various concentration (1%, 2% and 3%) at various temperature (40?C, 60?C and 70?C) for a period of 30 minutes, 60 minutes and 90 minutes. The properties of bio scoured fabrics are compared with these of conventional scoured one. Encouraging results in terms of dye uptake, dye levelness, wash fastness, light fastness and rubbing fastness are obtained in case of bio scouring fabric dyed with dark reactive colors. Further, it reduces volume of effluent as well as COD, TDS and pH. It saves a substantial thermal energy 50% and electrical energy 40%. Bio scouring waste water has 40% - 50% less COD and 60% less TDS as compared to conventional scouring waste water.

Prevalence of Bombay blood group in a tertiary care hospital, Andhra Pradesh, India
Verma Anju,Vani K,Chaitanya Kumar I,Jothi Bai D
Asian Journal of Transfusion Science , 2011,
Performance Evaluation of IEEE 802.11b/n in Wireless Networks for QoS Improvement
D.Sylvia,Dr.B.Jothi Mohan,Dr.D.Srinivasa Rao
International Journal on Computer Science and Engineering , 2012,
Abstract: The development of technology in the wireless communication domain has enhanced the need for power optimization schemes, because the battery technology has not kept up pace with the ever increasing growth of mobile devices. Power consumption can be reduced by decreasing the transmit power to a minimal optimum level, such that the packets are received correctly. This paper compares IEEE 802.11b and IEEE 802.11n wireless networks and shows that optimization of power control, increases the life of the battery and maybe achieved by the implementation of IEEE 802.11n. The paper studies the power consumption as against the transmit power and also shows the effect ofco-channel interference. Elements of network performance include throughput, delay, bandwidth and channel utilization. The result compares IEEE802.11n with IEEE802.11b in terms of power consumption. The results show an improvement in performance of the wireless network using IEEE 802.11n.
Synthesis, Growth and Characterization of Organic Nonlinear Optical Single Crystals of 4-Bromo-4’-Methyl Benzylidene Aniline  [PDF]
L. Jothi, R. Ramesh Babu, K. Ramamurthi
Journal of Minerals and Materials Characterization and Engineering (JMMCE) , 2014, DOI: 10.4236/jmmce.2014.24036

Organic nonlinear optical material of 4-bromo-4’-methyl benzylidene aniline (BMBA) was synthesized and single crystal of BMBA was grown by solvent evaporation method at room temperature using ethanol as solvent. The crystalline nature of the grown crystals was confirmed using powder X-ray diffraction studies. The crystals were also characterized by single crystal X-ray diffraction method and their lattice parameters were determined. Thermal properties of BMBA were evaluated with thermogravimetric, differential thermal and differential scanning calorimetric analyses. Fourier transform infrared and FT-Raman spectral studies were carried out on the BMBA material to confirm the synthesized compound. 1H and 13C-nuclear magnetic resonance spectral studies were recorded to elucidate the structure of the grown crystals. Fluorescence spectrum recorded shows a peak at 485 nm. UV-Vis-NIR spectral analysis shows transmittance of ~92% in the visible region. The mechanical stability was analyzed by Vickers microhardness tester and the work hardening coefficient of the grown crystal was calculated. Second harmonic generation efficiency of the grown crystal measured by Kurtz powder technique is ~1.8 times that of potassium dihydrogen orthophosphate.

Hybrid Energy-Efficient Transmission Protocol for Heterogeneous Wireless Sensor Networks  [PDF]
Ramaswami Jothi Kavitha, Britto Elizabeth Caroline
Circuits and Systems (CS) , 2016, DOI: 10.4236/cs.2016.76077
Abstract: Heterogeneous Wireless Sensor Networks (WSNs) have different sensing ranges and computing power in the midst of various resource constraints such as limited battery power, reduced transmit power and network potential. This paper proposes new hybrid energy efficient transmission protocol called Hybrid Transmission Protocol (HTP). The proposed algorithm focuses on the issues of throughput dreadful conditions and limited power on mobile nodes due to conflicts in multi-cell wireless networks. The design principle of the proposed routing algorithm is to introduce a new border cluster between the sink nodes and the cluster-heads in order to lengthen the lifetime of the network nodes with minimized energy consumption to attain energy efficiency. The creation of clusters is done by making use of the sensor nodes formation that has a Cluster-Head (CH) used for performing the data aggregation in the sensor nodes of the cluster. Later the data that is aggregated is transmitted with multiple hops to the base station and in turn, this process leads to the reduction in the bandwidth through the elimination of the redundant data present in a cluster. The performance results indicate that the HTP proposed gained greater network lifetime, better performance and higher throughput compared to the other available algorithms.
Investigation on Pressure Drop of Fluid-Solid Mixture Flow through Pipes Using CFD and SK Model  [PDF]
Miller Jothi, Redae Haimanot, Udaya Kumar
Journal of Applied Mathematics and Physics (JAMP) , 2019, DOI: 10.4236/jamp.2019.71018
Abstract: The carrier fluid (air or water) is used to transport solid material from the source place to its destination point through pipeline. Using air as carrier fluid to transport solid material through pipeline is called Pneumo transport, whereas transporting material with water or any other liquid through pipeline is called as hydraulic transport. A large number of installations are now available globally to transport solid materials to short, medium, and long distances using water/air as carrier fluid. However, the design of such system of pipeline is still an empirical art. In the present investigation, one generalized mathematical model developed by Shrivastava and Kar (SK Model) and CFD models were used and compared with experimental results for pneumatic and hydraulic transport of granular solids. The motivation of present work is to find the accuracy of SK model based on analytical, empirical and semi-empirical for the prediction of pressure drop and comparing the result with CFD based on mathematical equation for the mixture flow in the horizontal and vertical pipe lines. The comparison of pressure drop results obtained by using SK model and CFD model were validated with the experimental results for pneumatic and hydraulic transport of solids through. From the comparison results, it was observed that the results of pressure drop predicted by SK model are more accurate than the CFD models for all the cases considered.
An Evident Theoretic Feature Selection Approach for Text Categorization
International Journal on Computer Science and Engineering , 2012,
Abstract: With the exponential growth of textual documents available in unstructured form on the Internet, feature selection approaches are increasingly significant for the preprocessing of textual documents for automatic text categorization. Feature selection, which focuses on identifying relevant and informative features, can help reduce the computational cost of processing voluminous amounts of data as well asincrease the effectiveness for the subsequent text categorization tasks. In this paper, we propose a new evident theoretic feature selection approach for text categorization based on transferable belief model (TBM). An evaluation on the performance of the proposed evident theoretic feature selection approach on benchmark dataset is also presented. We empirically show the effectiveness of our approach in outperforming the traditional feature selection methods using two standard benchmark datasets.
Evaluation of Glutathione-S-transferase and ceruloplasmin levels in gingival crevicular fluid and gingival tissue as diagnostic markers for chronic periodontitis  [PDF]
Jothi. M. Varghese, Vinutha Bhat, G. S. Bhat, Namita Rao
Advances in Bioscience and Biotechnology (ABB) , 2012, DOI: 10.4236/abb.2012.324061
Abstract: Periodontitis, is an infectious ailment of multifactorial origin, that brings about destruction of bone and surrounding tissues. There are various oral pathogens that may be responsible for the destruction. The host encounters these microbial invasions and their products by the production and release of inflammatory mediators from the cells within the body. Glutathione-S-transferase (GST) are a group of enzymes that utilize glutathione in conditions resulting in oxidative stress. These enzymes play a key role in the detoxifycation of such substance. It aids in preventing damage to important cellular components caused by release of free reactive oxygen species. Ceruloplasmin is a ferroxidase enzyme. It plays a role as an anti-inflammatory agent, by its ability to scavenge free radicals within the body. The present study was targeted at evaluating the levels of Glutathione-S-Transferase (GST) and Ceruloplasmin as diagnostic markers for patients with chronic periodontitis in gingival crevicular fluid (GCF) and the gingival tissues. Thirty patients were divided into two groups. Experimental group comprising of 15 subjects with chronic perio- dontitis and the control group was composed of 15 healthy individuals. Highly significant changes in GST between the diseased and normal patients (P = 0.001) were detected. There was a decrease in GST level in both gingival tissue & GCF in diseased patients when compared to the control patients. The ceruloplasmin levels in GCF and gingival tissues showed no difference between the control and diseased group. Hence,these results indicate a relationship suggesting that GST produced during chronic inflammation could be used as biomarker that indicate periodontal disease .
Antimicrobial effect of Anacardium occidentale leaf extract against pathogens causing periodontal disease  [PDF]
Jothi Varghese, Vijay Kumar Tumkur, Vasudev Ballal, Giliyar Subraya Bhat
Advances in Bioscience and Biotechnology (ABB) , 2013, DOI: 10.4236/abb.2013.48A2003

The oral cavity is perpetually colonized by different species of microorganisms and at times it is difficult to characterize the periodontal pathogen causing breakdown of tissue and bone. But over the years, based on scientific knowledge, it has been observed that various gram negative anaerobic bacteria have been involved with the initiation of periodontal disease. Based on literature reviews, a study was undertaken to investigate the antimicrobial effect of Anacardium occidentale (cashew) leaf extract on Porphyromonas gingivalis and Prevotella intermedia. Methanol and aqueous extracts of cashew leaves were prepared. Its antimicrobial activity against P. gingivalis and P. intermedia was tested using the agar diffusion method at various dilutions of 75 μ, 50 μl, 25 μl, 10 μl and 5 μl respectively. 0.2% Clorhexidine gluconate (CHX) was used as control. Cultures of P. gingivalis and P. intermedia strains were maintained on Kanamycin blood agar. The agar plates were then incubated at 37?C for 72 hours after which the zone of inhibition was measured and the mean was recorded for each test solution. The results of this study demonstrated that, for both P. gingivalis and P. intermedia, the highest concentration (75 μl) of both the extracts showed maximum antimicrobial action. For

Enhancing the Efficiency of Voice Controlled Wheelchairs Using NAM for Recognizing Partial Speech in Tamil  [PDF]
Angappan Kumaresan, Nagarajan Mohankumar, Mathavan Sureshanand, Jothi Suganya
Circuits and Systems (CS) , 2016, DOI: 10.4236/cs.2016.710247
Abstract: In this paper, we have presented an effective method for recognizing partial speech with the help of Non Audible Murmur (NAM) microphone which is robust against noise. NAM is a kind of soft murmur that is so weak that even people nearby the speaker cannot hear it. We can recognize this NAM from the mastoid of humans. It can be detected only with the help of a special type of microphone termed as NAMmicrophone. We can use this approach for impaired people who can hear sound but can speak only partial words (semi-mute) or incomplete words. We can record and recognize partial speech using NAM microphone. This approach can be used to solve problems for paralysed people who use voice controlled wheelchair which helps them to move around without the help of others. The present voice controlled wheelchair systems can recognize only fully spoken words and can’t recognise words spoken by semi-mute or partially speech impaired people. Further it uses normal microphone which hassevere degradation and external noise influence when used for recognizing partial speech inputs from impaired people. To overcome this problem, we can use NAM microphone along with Tamil Speech Recognition Engine (TSRE) to improve the accuracy of the results. The proposed method was designed and implemented in a wheelchair like model using Arduino microcontroller kit. Experimental results have shown that 80% accuracy can be obtained in this method and also proved that recognizing partially spoken words using NAM microphone was much efficient compared to the normal microphone.
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