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Design and Implementation of Efficient Reversible Arithmetic and Logic Unit

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Circuits and Systems 2016年第6期7卷 630-642页

作者： Subramanian Saravanan Ila Vennila sudha mohanram Department of EEE P. S. G. College of Technology Coimbatore India Sri Eshwar College of Engineering Kondampatty Coimbatore India

In computing architecture, ALU plays a major role. Many promising applications are possible with ATMEGA microcontroller. ALU is a part of these microcontrollers. The performance of these microcontrollers can be improved by applying Reversible Logic and Vedic Mathematics. In this paper, an efficient reversible Arithmetic and Logic Unit with reversible Vedic Multiplier is proposed and the simulation results show its effectiveness in reducing quantum cost, number of gates, and the total number of logical calculations.

关键词： Reversible Logic Gates Reversible Logic Circuits Reversible Multiplier Circuits Vedic Multiplier ALU

Liver transplantation as an alternative for the treatment of intrahepatic cholangiocarcinoma: Past, present, and future directions

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Hepatobiliary & Pancreatic Diseases International 2024年第2期23卷 129-138页

作者： sudha Kodali Ashton A Connor Souhail Thabet Elizabeth W Brombosz R Mark Ghobrial Sherrie and Alan Conover Center for Liver Disease and Transplantation Houston Methodist HospitalHoustonTX 77030USA JC Walter Jr Transplant Center Houston Methodist HospitalHoustonTX 77030USA Department of Medicine Weill Cornell Medical CollegeNew YorkNYUSA Department of Surgery Houston Methodist HospitalHoustonTX 77030USA Department of Surgery Weill Cornell Medical CollegeNew YorkNYUSA School of Medicine New Giza UniversityGizaEgypt

Intrahepatic cholangiocarcinoma(iCCA)is a rare biliary tract cancer with high mortality *** resection of the iCCA lesion is the first choice of treatment,with good prognosis after margin-negative ***,only 12%-40% of patients are eligible for resection at presentation due to cirrhosis,portal hypertension,or large tumor *** transplantation(LT)offers margin-negative iCCA extirpation for patients with unresectable ***,iCCA was a contraindication for LT until size-based selection criteria were introduced to identify patients with satisfied post-LT *** studies have shown that tumor biology-based selection can yield high post-LT survival in patients with locally advanced *** selection criterion is the tumor response to neoadjuvant *** with response to neoadjuvant therapy have better outcomes after LT compared with those without tumor response to neoadjuvant *** index that helps predict the treatment outcome is the *** survival outcomes have also opened the door for living donor LT for *** undergoing LT for iCCA now have statistically similar survival rates as patients undergoing *** combination of surgery and locoregional and systemic therapies improves the prognosis of iCCA patients.

关键词： Liver transplantation Cholangiocarcinoma Hepatectomy Transplant oncology Liver neoplasm

Automatic area estimation of algal blooms in water bodies from UAV images using texture analysis

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Water Science and Engineering 2024年第1期17卷 62-71页

作者： Ajmeria Rahul Gundu Lokesh Siddhartha Goswami R.N.Ponnalagu Radhika sudha Department of Electrical and Electronics Engineering Birla Institute of Technology&SciencePilani Hyderabad CampusTelangana 500078India

Algal blooms,the spread of algae on the surface of water bodies,have adverse effects not only on aquatic ecosystems but also on human *** adverse effects of harmful algal blooms(HABs)necessitate a convenient solution for detection and *** aerial vehicles(UAVs)have recently emerged as a tool for algal bloom detection,efficiently providing on-demand images at high spatiotemporal *** study developed an image processing method for algal bloom area estimation from the aerial images(obtained from the internet)captured using *** a remote sensing method of HAB detection,analysis,and monitoring,a combination of histogram and texture analyses was used to efficiently estimate the area of *** features like entropy(using the Kullback-Leibler method)were emphasized with the aid of a gray-level co-occurrence *** results showed that the orthogonal images demonstrated fewer errors,and the morphological filter best detected algal blooms in real time,with a precision of 80%.This study provided efficient image processing approaches using on-board UAVs for HAB monitoring.

关键词： Algal bloom Image processing Texture analysis Histogram analysis Unmanned aerial vehicles

Treatment of a patient with aconitine poisoning using veno-arterial membrane oxygenation:A case report

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World Journal of Clinical Cases 2024年第21期12卷 4842-4852页

作者： Yu-Yao Bian Jin Hou sudha Khakurel Department of Emergency Medicine Hebei Petro China Central HospitalLangfang 065000Hebei ProvinceChina Department of Internal Medicine Langfang Health Vocational CollegeLangfang 065000Hebei ProvinceChina Dallas Campus UT Health Houston School of Public HealthDallasTX 75201United States

BACKGROUND Aconitine poisoning is highly prone to causing malignant *** elimination of aconitine from the body takes a considerable amount of time,and during this period,patients are at a significant risk of death due to malignant arrhythmias associated with aconitine *** SUMMARY A 30-year-old male patient was admitted due to accidental ingestion of aconitinecontaining *** arrival at the emergency department,the patient intermittently experienced malignant arrhythmias including ventricular tachycardia,ventricular fibrillation,ventricular premature beats,and cardiac *** interventions such as cardiopulmonary resuscitation and defibrillation were promptly ***,veno-arterial extracorporeal membrane oxygenation(VA-ECMO)therapy was *** resuscitation was achieved before ECMO placement,but upon initiation of ECMO,the patient experienced recurrent malignant *** was utilized to maintain hemodynamics and respiration,while continuous blood purification therapy for toxin clearance,mechanical ventilation,and hypothermic brain protection therapy were concurrently *** the third day of VA-ECMO support,the patient’s respiratory and hemodynamic status stabilized,with only frequent ventricular premature beats observed on electrocardiographic monitoring,and echocardiography indicated recovery of cardiac contractile *** the fourth day,a significant reduction in toxin levels was observed,along with stable hemodynamic and respiratory *** a successful pump-controlled retrograde trial occlusion test,ECMO assistance was *** patient gradually improved postoperatively and achieved *** was discharged 11 days *** VA-ECMO can serve as a bridging resuscitation technique for patients with reversible malignant arrhythmias.

关键词： Poisoning Arrhythmia Blood purification Veno-arterial extracorporeal membrane oxygenation Resuscitation Case report

Entanglement and Volume Monogamy Features of Permutation Symmetric N-Qubit Pure States with N-Distinct Spinors: GHZ and States

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Journal of Quantum Information Science 2024年第2期14卷 29-51页

作者： sudha Alevoor Raghavendra Usha Devi Akshata Shenoy Hejamadi Hosapete Seshadri Karthik Humera Talath Bada Palaiah Govindaraja Attipat Krishnaswamy Rajagopal Department of Physics Kuvempu University Shimoga India Inspire Institute Inc. Alexandria Virginia USA Department of Physics Bangalore University Bangalore India International Centre for Theory of Quantum Technologies University of Gdnsk Gdnsk Poland

We explore the entanglement features of pure symmetric N-qubit states characterized by N-distinct spinors with a particular focus on the Greenberger-Horne-Zeilinger (GHZ) states and , an equal superposition of W and obverse W states. Along with a comparison of pairwise entanglement and monogamy properties, we explore the geometric information contained in them by constructing their canonical steering ellipsoids. We obtain the volume monogamy relations satisfied by states as a function of number of qubits and compare with the maximal monogamy property of GHZ states.

关键词： Permutation Symmetric States Monogamy Pairwise Entanglement

Provenance studies on the heavy mineral placers along the coastal deposits of Odisha,eastern India

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Journal of Palaeogeography 2022年第2期11卷 275-285页

作者： Shayantani Ghosal sudha Agrahari Debashish Sengupta Department of Geology and Geophysics Indian Institute of Technology KharagpurWest BengalIndia Department of Applied Geology Indian Institute of Technology(Indian School of Mines)DhanbadJharkhandIndia

The coastal deposits along the eastern part of the Indian Peninsula are known for the high abundance of heavy minerals. The present study, as discussed here, has been undertaken along the southwestern coastal part of Odisha, India, adjoining the charnockite-migmatite zone of the Eastern Ghat Mobile Belt(EGMB). The composition of the placers along the study area is primarily controlled by the detritus from the proximal hinterland rock type(s). The weathering index has been established based on the grain morphology, major element concentration and radioelement ratios. Petrological characteristics and grain morphology of monazite, zircon, ilmenite and rutile have been presented respectively, and their implications are discussed. The provenance study of these coastal placers is based on the abundance of rare earth elements(REE) and radioactive elements in the placer sands and the rock types in the study area. The tectonic implications are based on the major element abundance of the beach sands.

关键词： Monazite placers High background radiation area(HBRA) Eastern Ghat Mobile Belt(EGMB) Weathering Zircon Rare earth elements(REE) East coast of India

Anomaly Detection in Social Media Texts Using Optimal Convolutional Neural Network

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Intelligent Automation & Soft Computing 2023年第4期36卷 1027-1042页

作者： Swarna sudha Muppudathi Valarmathi Krishnasamy Department of Computer Science and Engineering Ramco Institute of TechnologyRajapalayam626117India Department of Electronics and Communication Engineering P.S.R.Engineering CollegeSivakasi626140India

Social Networking Sites(SNSs)are nowadays utilized by the whole world to share ideas,images,and valuable contents by means of a post to reach a group of *** use of SNS often inﬂicts the physical and the mental health of the ***,researchers often focus on identifying the illegal beha-viors in the SNS to reduce its negative inﬂ*** state-of-art Natural Language processing techniques for anomaly detection have utilized a wide anno-tated corpus to identify the anomalies and they are often time-consuming as well as certainly do not guarantee maximum *** overcome these issues,the proposed methodology utilizes a Modiﬁed Convolutional Neural Network(MCNN)using stochastic pooling and a Leaky Rectiﬁed Linear Unit(LReLU).Here,each word in the social media text is analyzed based on its *** stochastic pooling accurately detects the anomalous social media posts and reduces the chance of overﬁ*** LReLU overcomes the high computational cost and gradient vanishing problem associated with other activation *** also doesn’t stop the learning process when the values are *** MCNN computes a speciﬁed score value using a novel integrated anomaly detection *** on the score value,the anomalies are identiﬁed.A Teaching Learn-ing based Optimization(TLBO)algorithm has been used to optimize the feature extraction phase of the modiﬁed CNN and fast convergence is *** this way,the performance of the model is enhanced in terms of classiﬁcation *** efﬁciency of the proposed technique is compared with the state-of-art techni-ques in terms of accuracy,sensitivity,speciﬁcity,recall,and *** proposed MCNN-TLBO technique has provided an overall architecture of 97.85%,95.45%,and 97.55%for the three social media datasets namely Facebook,Twitter,and Reddit respectively.

关键词： Anomaly detection convolutional neural network social networking sites stochastic pooling teacher learner-based optimization

Detection and Classification of Diabetic Retinopathy Using DCNN and BSN Models

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Computers, Materials & Continua 2022年第7期72卷 597-609页

作者： S.sudha A.Srinivasan T.Gayathri Devi Department of ECE SRCSASTRA Deemed UniversityKumbakonamIndia

Diabetes is associated with many complications that could lead to *** retinopathy,a complication of diabetes,is difficult to diagnose and may lead to vision *** identification of micro features in fundus images for the diagnosis of DR is a complex and challenging task for *** clinical testing involves complex procedures and is timeconsuming,an automated system would help ophthalmologists to detect DR and administer treatment in a timelymanner so that blindness can be *** research works have focused on image processing algorithms,or neural networks,or signal processing techniques alone to detect diabetic ***,we aimed to develop a novel integrated approach to increase the accuracy of *** approach utilized both convolutional neural networks and signal processing *** this proposed method,the biological electro retinogram(ERG)sensor network(BSN)and deep convolution neural network(DCNN)were developed to detect and classify *** the BSN system,electrodes were used to record ERGsignal,which was preprocessed to be *** was performed in the frequency domain by the application of fast Fourier transform(FFT)and mel frequency cepstral coefficients(MFCCs)were *** neural network(ANN)classifier was used to classify the signals of eyes with DR and normal ***,fundus images were captured using a fundus camera,and these were used as the input for DCNN-based *** DCNN consisted of many layers to facilitate the extraction of features and classification of fundus images into normal images,non-proliferative DR(NPDR)or earlystage DR images,and proliferative DR(PDR)or advanced-stage DR ***,it classifiedNPDRaccording tomicroaneurysms,hemorrhages,cotton wool spots,and exudates,and the presence of new blood vessels indicated *** accuracy,sensitivity,and specificity of the ANNclassifier were found to be 94%,95%,and 93%,***

关键词： Deep convolution neural network artificial neural network nonproliferative diabetic retinopathy biological ERG sensor network

Modeling a Novel Hyper-Parameter Tuned Deep Learning Enabled Malaria Parasite Detection and Classification

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Computers, Materials & Continua 2023年第12期77卷 3289-3304页

作者： Tamal Kumar Kundu Dinesh Kumar Anguraj S.V.sudha Department of Computer Science&Engineering Koneru Lakshmaiah Education FoundationVaddeswaramAndhra PradeshIndia Department of Artificial Intelligence and Data Science KPR Institute of Engineering and TechnologyCoimbatoreTamil Nadu641407India

A theoretical methodology is suggested for finding the malaria parasites’presence with the help of an intelligent hyper-parameter tuned Deep Learning(DL)based malaria parasite detection and classification(HPTDL-MPDC)in the smear images of human peripheral *** existing approaches fail to predict the malaria parasitic features and reduce the prediction *** trained model initiated in the proposed system for classifying peripheral blood smear images into the non-parasite or parasite classes using the available online *** Adagrad optimizer is stacked with the suggested pre-trained Deep Neural Network(DNN)with the help of the contrastive divergence method to *** features are extracted from the images in the proposed system to train the DNN for initializing the visible *** smear images show the concatenated feature to be utilized as the feature vector in the proposed ***,hyper-parameters are used to fine-tune DNN to calculate the class labels’*** suggested system outperforms more modern methodologies with an accuracy of 91%,precision of 89%,recall of 93%and F1-score of 91%.The HPTDL-MPDC has the primary application in detecting the parasite of malaria in the smear images of human peripheral blood.

关键词： Malaria parasite classification hyper-parameter deep neural network the feature vector