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International Conference on Information and Electronics Engineering（ICIEE 2011）

作者： Abhimanyu Athikayan aswathy premanand Athira Damodaran Gayathry Girisan Jyothish Nair Sowmya Sivasubramanian Karthigha Balaburugan Jayakumar Applied Electromagnetic Research Group Department Of ECE Amrita School Of EngineeringCoimbatore-641105India

In first stage of each microwave receiver there is Low Noise Amplifier（LNA） circuit,and this stage has important rule in quality factor of the *** design of a LNA in Radio Frequency（RF） circuit requires the trade-off many importance characteristics such as gain,Noise Figure（NF）,stability,power consumption and *** situation forces designers to make choices in the design of RF *** this paper the aim is to design and simulate a single stage LNA circuit with high gain and low noise using GaAs FET for frequency of 4 *** design simulation process is done using ANSOFT designer.A single stage LNA has successfully been designed with 8.53 dB forward gain and 1.26 dB noise figure at frequency of 4GHz.

关键词： LNA S-Band Ansoft GaAs FET

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Moving Multi-Object Detection and Tracking Using MRNN and PS-KM Models

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Computer Systems Science & Engineering 2023年第2期44卷 1807-1821页

作者： V.premanand Dhananjay Kumar Department of Information Technology Anna UniversityMIT CampusChennai600044India

On grounds of the advent of real-time applications,like autonomous driving,visual surveillance,and sports analysis,there is an augmenting focus of attention towards Multiple-Object Tracking(MOT).The tracking-by-detection paradigm,a commonly utilized approach,connects the existing recognition hypotheses to the formerly assessed object trajectories by comparing the simila-rities of the appearance or the motion between *** an efﬁcient detection and tracking of the numerous objects in a complex environment,a Pearson Simi-larity-centred Kuhn-Munkres(PS-KM)algorithm was proposed in the present *** this light,the input videos were,initially,gathered from the MOT dataset and converted into *** background subtraction occurred whichﬁltered the inappropriate data concerning the frames after the frame conversion ***,the extraction of features from the frames was ***,the higher dimensional features were transformed into lower-dimensional features,and feature reduction process was performed with the aid of Information Gain-centred Singular Value Decomposition(IG-SVD).Next,using the Modiﬁed Recurrent Neural Network(MRNN)method,classiﬁcation was executed which identiﬁed the categories of the objects *** PS-KM algorithm identi-ﬁed that the recognized objects were ***,the experimental outcomes exhibited that numerous targets were precisely tracked by the proposed system with 97%accuracy with a low false positive rate(FPR)of 2.3%.It was also proved that the present techniques ***,CNN,and KNN,were effective with regard to the existing models.

关键词： Multi-object detection object tracking feature extraction morlet wavelet mutation(MWM) ant lion optimization(ALO) background subtraction

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Convolution-Based Heterogeneous Activation Facility for Effective Machine Learning of ECG Signals

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Computers, Materials & Continua 2023年第10期77卷 25-45页

作者： premanand.S Sathiya Narayanan School of Electronics Engineering Vellore Institute of TechnologyChennai600127Indi

Machine Learning(ML)and Deep Learning(DL)technologies are revolutionizing the medical domain,especially with Electrocardiogram(ECG),by providing new tools and techniques for diagnosing,treating,and preventing ***,DL architectures are computationally more *** recent years,researchers have focused on combining the computationally less intensive portion of the DL architectures with ML approaches,say for example,combining the convolutional layer blocks of Convolution Neural Networks(CNNs)into ML algorithms such as Extreme Gradient Boosting(XGBoost)and K-Nearest Neighbor(KNN)resulting in CNN-XGBoost and CNN-KNN,***,these approaches are homogenous in the sense that they use a fixed Activation Function(AFs)in the sequence of convolution and pooling layers,thereby limiting the ability to capture unique *** various AFs are readily available and each could capture unique features,we propose a Convolutionbased Heterogeneous Activation Facility(CHAF)which uses multiple AFs in the convolution layer blocks,one for each block,with a motivation of extracting features in a better manner to improve the *** proposed CHAF approach is validated on PTB and shown to outperform the homogeneous approaches such as CNN-KNN and *** PTB dataset,proposed CHAF-KNN has an accuracy of 99.55%and an F1 score of 99.68%in just 0.008 s,outperforming the state-of-the-art CNN-XGBoost which has an accuracy of 99.38%and an F1 score of 99.32%in 1.23 *** validate the generality of the proposed CHAF,experiments were repeated on MIT-BIH dataset,and the proposed CHAF-KNN is shown to outperform CNN-KNN and CNN-XGBoost.

关键词： Electrocardiogram convolution neural network machine learning activation function

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Management of splenic artery aneurysm associated with extrahepatic portal vein obstruction

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Hepatobiliary & Pancreatic Diseases International 2012年第3期11卷 330-333页

作者： Pramod Kumar Mishra Sundeep Singh Saluja Ashok K Sharma premanand Pattnaik Department of Gastrointestinal Surgery Surgery GB Pant Hospital Department of Gastrointestinal Surgery and Department of Radiology Surgery GB Pant Hospital Department of Gastrointestinal Surgery GB Pant Hospital

BACKGROUND: Splenic artery aneurysms although rare are clinically significant in view of their propensity for spontaneous rupture and life-threatening bleeding. While portal hypertension is an important etiological factor, the majority of reported cases are secondary to cirrhosis of the liver. We report three cases of splenic artery aneurysms associated with extrahepatic portal vein obstruction and discuss their management. METHODS: The records of three patients of splenic artery aneurysm associated with extrahepatic portal vein obstruction managed from 2003 to 2010 were reviewed retrospectively. The clinical presentation, surgical treatment and outcome were analyzed. RESULTS: The aneurysm was >3 cm in all patients. The clinical symptoms were secondary to extrahepatic portal vein obstruction (hematemesis in two, portal biliopathy in two) while the aneurysm was asymptomatic. Doppler ultrasound demonstrated aneurysms in all patients. A proximal splenorenal shunt was performed in two patients with excision of the aneurysm in one patient and ligation of the aneurysm in another one. The third patient had the splenic vein replaced by collaterals and hence underwent splenectomy with aneurysmectomy. All patients had an uneventful post-operative course. CONCLUSIONS: Splenic artery aneurysms are associated with extrahepatic portal vein obstruction. Surgery is the mainstay of treatment. Although technically difficult, it can be safely performed in an experienced center with minimal morbidity and good outcome.

关键词： splenic artery aneurysm extrahepatic portal vein obstruction portal hypertension proximal splenorenal shunt

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Variations in Swells along Eastern Arabian Sea during the Summer Monsoon

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Open Journal of Marine Science 2012年第2期2卷 43-50页

作者： Glejin Johnson V. Sanil Kumar Sajiv Philip Chempalayil Jai Singh premanand Pednekar K. Ashok Kumar G. Udhaba Dora Rajamanickam Gowthaman Ocean Engineering CSIR-National Institute of Oceanography (Council of Scientific & Industrial Research) Dona Paula India

A study was carried out to find the variation in wave characteristics along the eastern Arabian Sea and the influence of swells in the nearshore waves at 3 locations during summer monsoon in 2010. Percentage of swells in the measured waves was 75% to 79% at the locations with higher percentage of swells in the northern portion of Arabian Sea com-pared to that at the southern side. The significant wave height up to 4.7 m and maximum wave height up to 7.4 m was observed. The wave height was increasing from south to north with the average significant wave height at the northern location 20% more than that at the southern location due to the increase in the swell height. Waves having spectral peak period less than 6 s were not present during the summer monsoon period. There was no change in the average value of wave statistical parameters for data collected at 1/2, 3, 6, 12 and 24 h interval.

关键词： Seas Swells Wind Waves Arabian Sea Mixed Sea State Wave Spectrum

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