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Search Results: 1 - 10 of 461803 matches for " A. Dhivya "
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Dhivya. A,Hemalatha. M
International Journal of Engineering and Technology , 2013,
Abstract: Structural Health monitoring system is the implementation of improving the maintenance of any structures like buildings and bridges. It encompasses damage detection, identification and prevention of structures from natural disasters like earth quake and rain. This paper is mainly proposed for three modules. First module constitutes recognizing and alerting of abnormal vibration of the building due to an earth quake. This consists of two types of sensor to predict the abnormal vibration induced by an earth quake. Second module portrays the prediction of damage in the buildings after an earth quake or heavy rain. Damage detection includes identification of crack and the moisture content in wall bricks in real time buildings. Third module presents the smart auditorium which is used to reduce the power consumption. Depending on the number of audience inside the auditorium it can control the electric appliances like fans, lights and speakers. In any real time structural health monitoring system the main issue is the time synchronization. This paper also proposes to overcome the general issue arises in structural health monitoring system. ZigBee based reliable communication is used among the client node and server node. For the secured wireless communication between the nodes ZigBee is used.
Mrs. A.B. Dhivya
Journal of Global Research in Computer Science , 2010,
Abstract: Many algorithms have been proposed to improve the performance of mining frequent patterns from transaction databases. Pattern growth algorithms like FP-Growth based on the FP-tree are more efficient than candidate generation and test algorithms. In this paper, we propose a new data structure named Compressed FP-Tree (CFP-Tree) and an algorithm named CT-PRO that performs better than the current algorithms including FP-Growth and Apriori. The number of nodes in a CFP-Tree can be up to 50% less than in the corresponding FP-Tree. CT-PRO is empirically compared with FP-Growth and Apriori. CT-PRO is also extended for mining very large databases and its scalability evaluated experimentally.All these results point CT-PRO as the right candidate for generating a compact version of the original transaction database, which is small in size and which performs frequent pattern mining in a fast and efficient manner. Key Words: Frequent Patterns; Transaction Databases; FP-Growth; Apriori; CFP-Tree; CT-PRO.
Automated Agricultural Process Using PLC and ZigBee
A. Dhivya,J. Infanta,K. Chakrapani
Journal of Artificial Intelligence , 2012,
Abstract: Agriculture is the backbone of Indian Economy. Because without agriculture living is impossible since agriculture produces the main source of food for us. But in today’s situation the availability of labour for carrying out agricultural activities is rare. The automation in all kind of industries leads to industrial growth. Here agricultural process is automated. In this proposed system all the machines to work on its own with the help of inputs received from the sensors which are monitoring the agricultural land round the clock and a single person is enough to monitor whether everything going normal. The entire process is controlled and monitored by programmable logic controller. Above process is transmitted to the user using ZigBee network. Agricultural process involves seeding, ploughing, irrigation, planting, fertilizing, weeding, harvesting. Here three processes can be implemented. The main objective is even a professionals can work in the agricultural field. This idea is implemented in future there is remarkable change in the agricultural field. In general the manual cultivation for one acre of land requires money of around Rs. 15,000-17,000 but due to this technique we reduce the cost and is nearly Rs. 9,000-10,000 only and also the yield is high when compared to normal one.
Evidence of Synergistic Activity of Medicinal Plant Extracts against Neuraminidase Inhibitor Resistant Strains of Influenza Viruses  [PDF]
Dhivya Rajasekaran, Enzo A. Palombo, Tiong Chia Yeo, Diana Lim Siok Ley, Chu Lee Tu, Francois Malherbe, Lara Grollo
Advances in Microbiology (AiM) , 2014, DOI: 10.4236/aim.2014.416136
Abstract: The frequent emergence of drug resistant influenza viral strains emphasizes the urgent and continual need to develop new antiviral drugs. Given the encouraging findings of previous studies on antiviral compounds from plant sources, this study focused on medicinal plants from Borneo that were traditionally used to treat symptoms of influenza infection. Following the promising results of earlier investigations, four plant extracts that demonstrated multiple modes of viral inhibition were studied against wild-type and neuraminidase (NA) inhibitor-resistant strains of Types A and B influenza viruses. The extracts exhibited more pronounced activities against the wild-type viruses than the NA inhibitor-resistant strains. Variations in the antiviral potential of the extracts collected from different parts of the same plant were also evidenced in the in vitro micro-inhibition assays. Even though all plant extracts affected NA activity of all viruses, only two extracts demonstrated hemagglutination inhibitory (HI) activities against Type A pandemic H1N1 and Type B viruses. Furthermore, Receptor Destroying Enzyme (RDE) treatments of extracts exhibiting HI activities indicated the presence of sialic acid (SA)-like component(s) that may be responsible for HI activity. Since the antiviral potential of extracts was not completely suppressed by RDE, the possibility of non SA-like antiviral components cannot be ruled out. Therefore, synergistic activity between SA-like and non SA-like components contained in the plant extracts may be responsible for the demonstrated antiviral potential. The results also indicated the presence of non SA-like components that may act against other viral proteins apart from hemagglutinin (HA) and NA. Hence, this study supports the presence of multiple antiviral components that act against different viral proteins or interfere with different stages of viral replication. Our results suggest that these plant extracts have the potential to be developed as therapeutic agents for the treatment of influenza and could be a solution to the global occurrence of viral strains resistant to NA inhibitors.
G3BP1, G3BP2 and CAPRIN1 Are Required for Translation of Interferon Stimulated mRNAs and Are Targeted by a Dengue Virus Non-coding RNA
Katell Bidet,Dhivya Dadlani,Mariano A. Garcia-Blanco
PLOS Pathogens , 2014, DOI: doi/10.1371/journal.ppat.1004242
Abstract: Viral RNA-host protein interactions are critical for replication of flaviviruses, a genus of positive-strand RNA viruses comprising major vector-borne human pathogens including dengue viruses (DENV). We examined three conserved host RNA-binding proteins (RBPs) G3BP1, G3BP2 and CAPRIN1 in dengue virus (DENV-2) infection and found them to be novel regulators of the interferon (IFN) response against DENV-2. The three RBPs were required for the accumulation of the protein products of several interferon stimulated genes (ISGs), and for efficient translation of PKR and IFITM2 mRNAs. This identifies G3BP1, G3BP2 and CAPRIN1 as novel regulators of the antiviral state. Their antiviral activity was antagonized by the abundant DENV-2 non-coding subgenomic flaviviral RNA (sfRNA), which bound to G3BP1, G3BP2 and CAPRIN1, inhibited their activity and lead to profound inhibition of ISG mRNA translation. This work describes a new and unexpected level of regulation for interferon stimulated gene expression and presents the first mechanism of action for an sfRNA as a molecular sponge of anti-viral effectors in human cells.
Energy Efficient Computation of Data Fusion in Wireless Sensor Networks Using Cuckoo Based Particle Approach (CBPA)  [PDF]
Manian Dhivya, Murugesan Sundarambal, Loganathan Nithissh Anand
Int'l J. of Communications, Network and System Sciences (IJCNS) , 2011, DOI: 10.4236/ijcns.2011.44030
Abstract: Energy efficient communication is a plenary issue in Wireless Sensor Networks (WSNs). Contemporary energy efficient optimization schemes are focused on reducing power consumption in various aspects of hardware design, data processing, network protocols and operating system. In this paper, optimization of network is formulated by Cuckoo Based Particle Approach (CBPA). Nodes are deployed randomly and organized as static clusters by Cuckoo Search (CS). After the cluster heads are selected, the information is collected, aggregated and forwarded to the base station using generalized particle approach algorithm. The Generalized Particle Model Algorithm (GPMA) transforms the network energy consumption problem into dynamics and kinematics of numerous particles in a force-field. The proposed approach can significantly lengthen the network lifetime when compared to traditional methods.
Comparative Study of Speed Control of 8/6 Switched Reluctance Motor Using Pi and Fuzzy Logic Controller
Asst Prof.A.Ramya,Ms.G.Dhivya,Ms.P.Dhivya Bharathi,Ms.R.Dhyaneswaran
International Journal of Recent Technology and Engineering , 2012,
Abstract: This paper deals with the comparative study of speed control of 8/6 Switched Reluctance Motor using PI and Fuzzy Logic Controller. Nowadays the Switched Reluctance Motor has gained more and more attraction in industries. The speed of the Switched Reluctance Motor is controlled using both PI and Fuzzy Logic speed Controller in MATLAB/Simulink environment. The simulation result shows that Fuzzy Logic Controller is superior to PI controller.
Electronic Toll Collection System Using Radio Frequency Technology
M.Aruna,R.Dhivya,D.Mousabin Rani,A.Sharmila
International Journal of Engineering and Advanced Technology , 2013,
Abstract: This paper focuses on an electronic toll collection(ETC) system using radio frequency (RF) technology. Researchon ETC has been around since 1992, during which RFID tagsbegan to be widely used in vehicles to automate toll processes [1].Next method proposes a very simple method for enhancing theperformance of infrared electronic-toll-collection systems,resulting in longer communication time interval for the datatransmission between the on board unit (OBU) and the road sideunit (RSU). The proposed RF system uses antenna that aremounted on the windshields of vehicles, through whichinformation embedded on the tags are read by RF readers, the tolldebit will be taken from the owner’s bank account. The proposedsystem eliminates the need for motorists and toll authorities tomanually perform ticket payments and toll fee collections,respectively. Data information are also easily exchanged betweenthe motorists and toll authorities, thereby enabling a moreefficient toll collection by reducing traffic and eliminatingpossible human errors.
Indian Streams Research Journal , 2012,
Abstract: The district of Tirunelveli in the Madras presidency is located in the extreme South-Eastern part of the Indian peninsula on the Coromandel Coast. The principal towns in the district were Palayamkottai and Tuticorin. Palayamkottai was the headquarters of Tirunelveli district, while Tuticorin was a large town and sea port.1Tirunelveli district had almost every class and caste of Hindus of southindia. The remaining castes in the district wereVellalars, Raddis, Maravars, Naidus, Chettiars, Panickers, Idaiyars, Kadiars, Kammalars and the lower caste Shanars, Pallars, Parayars, and Paravars. The main characteristic of the Tirunelveli district of the eighteenth century was political instability and disorder.2
Preliminary Phytochemical Screening and GC- MS Profiling of Ethanolic Flower Extract of Calotropis gigantea Linn. (Apocyanaceae)
R. Dhivya,K. Manimegalai
Journal of Pharmacognosy and Phytochemistry , 2013,
Abstract: Calotropis gigantea Linn is popularly known as the swallow-wort or milkweed and is used as one of the most important drug in Traditional System of Medicine to treat various ailments. The aim of this study is to screen the phytochemicals present in the ethanolic flower extract of Calotropis gigantea and further analysis of the components present in it by GC-MS analysis. Ten grams of flower power was sequentially extracted by ethanol. The results showed the presence of phytochemical compounds of alkaloids, tannins, phenol, flavanoids, sterols, antraquinones, proteins and quinones in the flower extract. The GC-MS analysis of the ethanolic extract revealed the presence of 14 major compounds. This study forms a basis for the biological characterization and importance of the compounds identified and creates a platform to screen many bioactive components to treat many diseases.
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