A survey of Trace Metals Determination in Hospital Waste Incinerator in Lucknow City, India

Information on the elemental content of incinerator burning of human organ, animal and medical waste is scanty in India Nineteen trace elements were analyzed in the incinerator ash from four major hospitals, one municipal waste incinerator and two R & D laboratories engaged in animal experiment in Lucknow city. Concentrations of Zinc and Lead were found to be very high in comparison to other metals due to burning of plastic products. The source of Ca, P and K are mainly bone, teeth and other animal organs. A wide variation in trace concentration of several toxic elements have been seen due to variation in initial waste composition, design of the incinerator and operating conditions

Backpropagation Artificial Neural Network To Detect Hyperthermic Seizures In Rats

A three-layered feed-forward back-propagation Artificial Neural Network was used to classify the seizure episodes in rats. Seizure patterns were induced by subjecting anesthetized rats to a Biological Oxygen Demand incubator at 45-47ºC for 30 to 60 minutes. Selected fast Fourier transform data of one second epochs of electroencephalogram were used to train and test the network for the classification of seizure and normal patterns. The results indicate that the present network with the architecture of 40-12-1 (input-hidden-output nodes) agrees with manual scoring of seizure and normal patterns with a high recognition rate of 98.6%

An Efficient Approach of Removing the High Density Salt

Images are often corrupted by impulse noise, also known as salt and pepper noise. Salt and pepper noise can corrupt the images where the corrupted pixel takes either maximum or minimum gray level. Amongst these standard median filter has been established as reliable - method to remove the salt and pepper noise without harming the edge details. However, the major problem of standard Median Filter (MF) is that the filter is effective only at low noise densities. When the noise level is over 50% the edge details of the original image will not be preserved by standard median filter. Adaptive Median Filter (AMF) performs well at low noise densities. In our proposed method, first we apply the Stationary Wavelet Transform (SWT) for noise added image. It will separate into four bands like LL, LH, HL and HH. Further, we calculate the window size 3x3 for LL band image by Reading the pixels from the window, computing the minimum, maximum and median values from inside the window. Then we find out the noise and noise free pixels inside the window by applying our algorithm which replaces the noise pixels. The higher bands are smoothing by soft thresholding method. Then all the coefficients are decomposed by inverse stationary wavelet transform. The performance of the proposed algorithm is tested for various levels of noise corruption and compared with standard filters namely standard median filter (SMF), weighted median filter (WMF). Our proposed method performs well in removing low to medium density impulse noise with detail preservation up to a noise density of 70% and it gives better Peak Signal-to-Noise Ratio (PSNR) and Mean square error (MSE) values

GSM Based Operating of Embedded System Cloud Computing, Mobile Application Development and Artificial Intelligence Based System

The purpose of this paper is to identify and explore the challenges for potential solutions in the field of Mobile Application Cloud Computing Artificial Intelligence Robotics and Home made Devices Television Refrigerator Air Conditioner Air Cooler Mixer Grinder in Embedded Systems This paper is an attempt to introduce the reader into the world of GSM based Operating of Embedded Systems in voice based talking GSM technology and its applications for updating the new technologies in old device in the industry of home made appliances and devices in Embedded Systems The objective of the series will be a general discussion of GSM based new operating technologies for Mobile Applications Development and Mobile Computing in terms of Artificial Intelligence Its application will working from non mobile devices in home - made appliances and robotic

Non-Destructive Evaluation—A Pivotal Technology for Qualification of Composite Aircraft Structures

Tremendous advances in composite materials and a deeper understanding of their behavior have been responsible for the increased use of composites in the development of advanced, new generation civil and military aircraft. Composites play an important role in any aircraft development programme and are strong contenders to their metal counterparts due to their significant contributions towards improving strength, stiffness, fatigue properties & weight reduction. As materials, structural design & processing have evolved, strong emphasis is placed on effective & reliable damage detection, durability and damage tolerance. As a consequence, Non-destructive Evaluation (NDE) has also undergone significant advances towards meeting the growing demands of quality assurance. Advanced Composites Division (ACD) of National Aerospace Laboratories (NAL), has been involved in the development of composite structures for both civil and military aircraft for over a decade and a half. Innovative composite processing methods like co-curing/co-bonding have been successfully employed to realize airworthy structures. The role of NDE in the development of these structures has been critical and not limited to damage detection alone. On several occasions, NDE has provided valuable inputs towards improving design and process parameters. In-spite of the complexity of the structures, stringent quality requirements and tight delivery schedules, NDE has been successful in certifying these composite structures for airworthiness. This paper discusses the implementation of key NDE techniques like ultrasonics, radiography, acoustic emission and thermography for reliable flaw detection, characterization and quality assurance of composite aircraft structures

Cu2+ uptake by Chlorococcum hemicolum - A Xeric Chlorophycean Alga

Bioremediation of copper by xeric chlorophycean bioremediator, Chlorococcum hemicolum was investigated. The growth rates at various concentrations of Cu2+ were assessed in terms of protein level and 8 mg L-1 (37.67 % level in growth kinetics) is the tolerance limit. Absorption/adsorption kinetics was estimated after 240 hrs of Cu2+ treatments. Absorptions were higher than adsorption with maximum accumulation factor (AF) of 1.40. The Cu2+ concentration and absorption were linearly related (r = 0.99; p>0.01). Other biochemical parameters like total sugar, chlorophyll and carotenoids were also quantified to correlate the state of metabolism and these exhibited reduction due to heavy metal stress

EXPLOITING N-GRAM IMPORTANCE AND ADDITIONAL KNOWEDGE BASED ON WIKIPEDIA FOR IMPROVEMENTS IN GAAC BASED DOCUMENT CLUSTERING

This paper provides a solution to the issue: “How can we use Wikipedia based concepts in document\ud clustering with lesser human involvement, accompanied by effective improvements in result?” In the\ud devised system, we propose a method to exploit the importance of N-grams in a document and use\ud Wikipedia based additional knowledge for GAAC based document clustering. The importance of N-grams\ud in a document depends on several features including, but not limited to: frequency, position of their\ud occurrence in a sentence and the position of the sentence in which they occur, in the document. First, we\ud introduce a new similarity measure, which takes the weighted N-gram importance into account, in the\ud calculation of similarity measure while performing document clustering. As a result, the chances of topical similarity in clustering are improved. Second, we use Wikipedia as an additional knowledge base both, to remove noisy entries from the extracted N-grams and to reduce the information gap between N-grams that are conceptually-related, which do not have a match owing to differences in writing scheme or strategies. Our experimental results on the publicly available text dataset clearly show that our devised system has a significant improvement in performance over bag-of-words based state-of-the-art systems in this area

Design and Simulation of Photovoltaic System in Matlab using Simulink

In recent year the solar power energy is the economical and independent of power grid connected power supplies plays important role in developing country such as India ,Pakistan, Bangladesh etc. In developed country it is very useful because it is connected with power grid. But in developing country the government not supply power to the rural area through power grid. So in this case independent solar power is very useful. In this paper we design and simulate the photovoltaic system using matlab simulink. The step by step designing is explained and the output data is analysed. After analysis of the it is found that the solar power system is very useful and economical if we consider it for long time (about 20 year)

Design and Implementation of a Lossless Serial High-Speed Data Compression System

The paper presents a novel VLSI architecture for high-speed data compressor designs which implement the X-Match algorithm. This design involves important trade off that affects the compression performance, latency, and throughput. The most promising approach is implemented into FPGA hardware. This device typical compression ratio that halves the original uncompressed data. This device is specifically targeted to enhance the performance of Gbits/s data networks and storage applications where it can double the performance of the original systems. To get high compression rate or to get high data rate of communication not restriction to follow the parallel architecture of data compression. By using existing method the main draw backs are 1. Variation in compression 2. Throughput, 3.Latency, 4.High space, 5. High power. So by using this proposed method we can reduce the variation in the compression, latency and increase through put. And this novel VLSI architecture has a power consumption of 81mwatts powe

Plagiarism Awareness Among Post-Graduate Students and Research Scholars of the Jawaharlal Nehru University and University of Delhi, Delhi: A Comparative Study

The paper overtly and comprehensively presents the awareness of Plagiarism among Post Graduate Students and Research Scholars of two prominent universities viz. Jawaharlal Nehru University and University of Delhi, Delhi. The study employed the survey research methodology and a structured questionnaire was designed keeping in view the stated objectives and was distributed questionnaires among the users in each library and got a total of 296 responses from both library users. The findings of the study revealed that the level of awareness about plagiarism and related aspects among users of Jawaharlal Nehru University is very high in comparison to the University of Delhi. The findings tangibly reflects that 99% users of JNU and 97% of DU are well aware about plagiarism, 157(53.10%) users\u27 of both universities admitted that less/no knowledge of using source properly is the main reason for plagiarism and lastly 109(24%) users\u27 of JNU and 103(68%) of DU are also well aware about plagiarism detection software