Hand-written Malayalam character recognition an approach based on pen movement

In this paper we introduce a novel approach for character recognition based on the pen movement i.e., recognition based on sequence of pen strokes.A Backpropagation Neural Network is used for identifying individual strokes.The recognizer has a two-pass architecture i.e., the inputs are propagated twice through the network.The first pass does the initial classification and the second for exact recognition. The two-pass structure of the recognizer helped in achieving accuracy of about 95 percent in recognizing Malayalam letters.The training set contains samples of all independent strokes that are commonly used while writing Malayalam.Input values to the network are the directions of pen movement.A “minimum error” technique is used for finding the firing neuron in the output layer. Based on the output of FirstPass the network is dynamically loaded with a fresh set of weights for exact stroke recognition.Analyzing the stroke sequences identifies individual characters.This work also demonstrates how a statistical pre-analysis of training set reduces training time

Lipohypertrophy due to HAART: a case series

A subset of HIV-1 infected patients undergoing Highly Active Antiretroviral Therapy (HAART) develops a lipodystrophy syndrome. It is characterised by loss of subcutaneous adipose tissue (face, limbs and buttocks) visceral fat accumulation and lipomatosis especially in dorsocervical area. In addition these patients show metabolic alteration implicative of metabolic syndrome particularly dyslipidaemia and insulin resistance. These alterations lead to enhanced cardiovascular risk and favour the development of diabetes in such patients. A complex combination of HIV infection, drug treatment related events and lipotoxicity appears to contribute to the development of lipodystrophy syndrome. Active lipolysis in subcutaneous fat combined with impaired storage capacity in subcutaneous depot leads to ectopic deposition of lipids either in visceral or in non-adipose sites. Lipotoxicity, a pathogenic factor in the lipodystrophy syndrome should be considered in the strategies for treating and /or preventing the morphological alterations and systemic metabolic disturbances associated with lipodystrophy

A case series of cefixime induced Steven’s Johnson Syndrome

Drug induced adverse reactions are a major health problem. Drug hyper sensitivity reactions manifest themselves in many diseases, of which some are very severe. The most common allergic reactions occur in the skin. Stevens-Johnson syndrome is mainly caused by drugs (antimicrobials e.g.: penicillin’s, sulphonamides and cephalosporin’s e.g.: cefixime, antiepileptic’s, NSAIDS), infections and also by other risk factors not yet identified. The most common allergic reactions occur in the skin. These reactions ranging from simple pruritic eruptions to potentially life threatening events are a significant cause of iatrogenic morbidity and mortality. Identification of the cause, withdrawal of the trigger and supportive management is crucial to improve the patient state. Despite of all therapeutic efforts, mortality is high and increases with disease severity, patient’s age and underlying medical conditions. Survivors may suffer from long-term squeal such as strictures of mucous membranes including severe eye problems

Investigation of THD Analysis in Residential Distribution Systems with Different Penetration Levels of Electric Vehicles

Electric Vehicles (EVs) are becoming a viable transportation option because they are environmentally friendly and provide solutions to high oil prices. This paper investigates the impacts of electric vehicles on harmonic distortions in urban radial residential distribution systems. The accomplishment of EV innovation relies on the accessibility of EV charging stations. To meet the power demand of growing EVs, utilities are introducing EV charging stations in private and public areas; this led to a change in the residential distribution system infrastructure. In this paper, an urban radial residential distribution system with the integration of an electric vehicle charging facility is considered for investigation. An impact of different EV penetration levels on voltage distortion is analysed. Different penetration levels of EVs into the residential distribution system are considered. Simulation results are presented to validate the work carried out in this paper. An attempt has been made to establish the relationship between the level of penetration of the EVs and voltage distortion in terms of THD (Total Harmonic Distortion)

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Not AvailableREARING OF LAYER POULTRY BIRDS INCLUDING SELECTION OF HYBRID POULTRY LAYER BREEDS,POULTRY SHED CONSTRUCTION &MANAGEMENT,NUTRITION,HEALTH CARE,PREVENTION AND CONTROL OF DISEASES AND VACCINATION SCHEDULENot Availabl

Incremental topological spatial association rule mining and clustering from geographical datasets using probabilistic approach

Due to the dynamic updating of real time spatial databases, the preservation of spatial association rules for dynamic database is a vital issue because the updates may not only invalidate some existing rules but also make other rules relevant. Consequently, the dynamic updating of spatial rules was handled by many researchers through the incremental association rule mining algorithm. Accordingly, in this paper we have developed an incremental topological association rule mining of geographical datasets using probabilistic approach. Initially, the spatial database is read out and it is passed through probability-based incremental association rule discovery algorithm to mine the topological spatial association rules. Once the rules are mined from the spatial database, the assumption here is that the database is dynamically updating for every time interval. In order to handle this dynamic nature, the proposed incremental topological association rule mining process is used in this paper. Here, the candidate topological rule generation is done from the spatial association rules using the topological relations such as, nearby, disjoint, intersects and inside/outside and the topological support is calculated using the proposed probabilistic topological support model. Finally, the spatial clustering is performed based on the mined spatial rules. From the experimentation, we proved that the maximum accuracy reached by the proposed method is 83.14% which is higher than the existing methods, which is defined as the ratio of the occurred rules and total number of topological data objects. Keywords: Spatial database, Association rule mining, Topological support, Probabilistic approach, Dynamic databas

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Facile Fabrication of Double-Layered Electrodes for a Self-Powered Energy Conversion and Storage System

An aluminum double-layered electrode (DE-Al) was successfully employed as two electrodes in a symmetrical supercapacitor (double-layered electrode symmetric SC (DE-SC)) and as a positive layer of a triboelectric nanogenerator (DE-TENG) with the aim of energy conversion and storage using a selfsame structured, self-powered flexible device. A facile water-assisted oxidation (WAO) process and metal sputtering after the WAO process can allow the electrodes to greatly improve the active surface area and the conductivity, leading to the enhancement of the electrochemical performances of a supercapacitor (SC). Particularly, this double-layered structure fabrication process is extremely less time-consuming and cost-effective. The electrochemical test of the proposed DE-Al was systematically conducted by cyclic voltammetry (CV), galvanostatic charge-discharge (GCD) and electrochemical impedance spectroscopy (EIS), along with the in-depth characterizations of the surface. From these studies, the DE-Al offers exceptional electrochemical properties compared with other structures, which were utilized as the electrodes in the polyvinyl alcohol/phosphoric acid (PVA/H3PO4) gel electrolyte. The improved performance apparently evidenced from the electrochemical tests of fabricated SC resulted from the enhanced electrical conductivity and large active surface area. The specific capacitance and cycle-life stability of the DE-SC were investigated by using a GCD analysis. Additionally, the EIS curves before and after stability test (for 3500 cycles) were obtained to prove the long-term endurance of DE-SC. A vertical contact and the separation mode of the TENG were also fabricated by using the same DE-Al as a positive layer and polydimethylsiloxane (PDMS) as a negative layer. Finally, the fabricated SC and TENG were successfully combined using a bridge rectifier to convert and store the mechanical energy as electrical energy. This simple design and facile fabrication of a double-layered-electrode-based structure is promising for the development of an energy conversion and storage device