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Application of quasi-oppositional symbiotic organisms search based extreme learning machine for stock market prediction

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International Journal of Intelligent Computing and Cybernetics 2019年第2期12卷 175-193页

作者： Smita Rath Binod Kumar Sahu manoj ranjan nayak Institute of Technical Education and Research Siksha O Anusandhan UniversityBhubaneswarIndia

Purpose–Forecasting of stock indices is a challenging issue because stock data are dynamic,non-linear and uncertain in *** of an accurate forecasting model is very much essential to predict the next-day closing prices of the stock *** purpose of this paper is to develop an efficient and accurate forecasting model to predict the next-day closing prices of seven stock ***/methodology/approach–A novel strategy called quasi-oppositional symbiotic organisms search-based extreme learning machine(QSOS-ELM)is proposed to forecast the next-day closing prices *** in the prediction of closing price depends on output weights which are dependent on input weights and *** paper mainly deals with the optimal design of input weights and biases of the ELM prediction model using QSOS and SOS optimization ***–Simulation is carried out on seven stock indices,and performance analysis of QSOS-ELM and SOS-ELM prediction models is done by taking various statistical measures such as mean square error,mean absolute percentage error,accuracy and paired sample *** performance analysis reveals that the QSOS-ELM model outperforms the SOS-ELM model in predicting the next-day closing prices more accurately for all the seven stock indices under ***/value–The QSOS-ELM prediction model and SOS-ELM are developed for the first time to predict the next-day closing prices of various stock *** paired t-test is also carried out for the first time in literature to hypothetically prove that there is a zero mean difference between the predicted and actual closing prices.

关键词： Extreme learning machine Symbiotic organisms search Quasi-oppositional-based learning,Paired sample t-test

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A Heuristic Algorithm for Core Selection in Multicast Routing

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Journal of Computer Science & Technology 2011年第6期26卷 954-961页

作者： Manas ranjan Kabat manoj Kumar Patel Chita ranjan Tripathy Department of Computer Science and Engineering Veer Surendra Sai University of Technology

With the development of network multimedia technology, more and more real-time multimedia applications need to transmit information using multicast. The basis of multicast data transmission is to construct a multicast tree. The main problem concerning the construction of a shared multicast tree is selection of a root of the shared tree or the core point. In this paper, we propose a heuristic algorithm for core selection in multicast routing. The proposed algorithm selects core point by considering both delay and inter-destination delay variation. The simulation results show that the proposed algorithm performs better than the existing algorithms in terms of delay variation subject to the end-to-end delay bound. The mathematical time complexity and the execution time of the proposed algorithm are comparable to those of the existing algorithms.

关键词： QoS routing multicast routing delay-variation end-to-end delay

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Least-Square Support Vector Machine and Wavelet Selection for Hearing Loss Identification

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Computer Modeling in Engineering & Sciences 2020年第10期125卷 299-313页

作者： Chaosheng Tang Deepak ranjan nayak Shuihua Wang School of Computer Science and Technology Henan Polytechnic UniversityJiaozuo454000China Department of Computer Science and Engineering Malaviya National Institute of TechnologyJaipur302017India School of Mathematics and Actuarial Science University of LeicesterLeicesterLE17RHUK Department of Information Systems Faculty of Computing and Information TechnologyKing Abdulaziz UniversityJeddah21589Saudi Arabia

Hearing loss(HL)is a kind of common illness,which can significantly reduce the quality of *** example,HL often results in mishearing,misunderstanding,and communication ***,it is necessary to provide early diagnosis and timely treatment for *** study investigated the advantages and disadvantages of three classical machine learning methods:multilayer perceptron(MLP),support vector machine(SVM),and least-square support vector machine(LS-SVM)approach andmade a further optimization of the LS-SVM model via wavelet *** investigation illustrated that themultilayer perceptron is a shallowneural network,while the least square support vector machine uses hinge loss function and least-square ***,a wavelet selection method was proposed,and we found db4 can achieve the best *** experiments showed that the LS-SVM method can identify the hearing loss disease with an overall accuracy of three classes as 84.89±1.77,which is superior to SVM *** results show that the least-square support vector machine is effective in hearing loss identification.

关键词： Hearing loss wavelet entropy multilayer perceptron least square support vector machine

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Potential of the neonicotinoid imidacloprid and the oxadiazine indoxacarb for controlling five coleopteran pests of stored grain

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Insect Science 2012年第1期19卷 96-101页

作者： Gregory J. Daglish manoj K. nayak Agri-Science Queensland Department of Employment Economic Development and Innovation Brisbane Queensland Australia

The potential for using imidacloprid （a neonicotinoid） and indoxacarb （an oxadiazine） as grain protectants was investigated in bioassays against resistant strains of five stored grain beetles. The species investigated were Rhyzopertha dominica （E）（the lesser grain borer）, Sitophilus oryzae （L.）（the rice weevil）, Tribolium castaneum （Herbst）（the rust-red flour beetle）, Oryzaephilus surinamensis （L.）（the saw tooth flour beetle）, and Cryptolestesferrugineus （Stephens）（the fiat grain beetle）. Each of these species has developed resistance to one or more protectants, including organophosphorus insecticides, synthetic pyrethroids and the juvenile hormone analogue methoprene. Mortality and re- production after a 2-week exposure of adults to treated wheat depended on species, dose and insecticide. Imidacloprid had no effect on S. oryzae at any dose, but none of the other species produced any live progeny at 10 mg/kg. Indoxacarb had no effect on T. castaneum at any dose, but none of the other species produced any live progeny at 5 mg/kg. The results show that although both imidacloprid and indoxacarb can control at least four of the five key pests tested at doses comparable to those used for organophosphorus protectants, more potent neonicotinoid or oxadiazine insecticides would be needed than either of these to provide broad spectrum protection of stored grain .

关键词： beetles imidacloprid indoxacarb stored grain

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Malignant otitis externa with subsequent internal jugular vein thrombosis and hypoglossal palsy:a report and review of literature

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Journal of Otology 2020年第3期15卷 112-116页

作者： K Devaraja Dipak ranjan nayak Department of Otorhinolaryngology and Head and Neck Surgery Kasturba Medical CollegeManipal Academy of Higher EducationUdupiKarnataka576104India

Inflammation of a part or whole of the temporal bone and surrounding soft tissue is termed as malignant otitis externa,which typically spreads to skull base to involve cranial nerves *** can it also effect one or more of cranial nerves IX,X,XI,and *** present a case of malignant otitis externa which presented with symptomatic palsy of IX and XII nerves sparing the VII cranial *** patient though later on had internal jugular vein thrombosis,which we presume is due to the involvement of the parapharyngeal space that prompted us to reconsider the diagnosis,and later on,to aggravate the *** proper blood sugar control and appropriate long term antibiotics,not only that the patient is disease free at one year follow up,but the cranial nerve deficits also *** from sharing the clinical and management details of this patient,we have reviewed the relevant literature in the discussion,which has shed some light onto some of the interesting facts about this condition and its prognosis.

关键词： Skull base osteomyelitis Malignant otitis externa Hypoglossal palsy Diabetes mellitus Internal jugular vein

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Tailoring of electrical properties of BiFeO_(3) by praseodymium

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Journal of Advanced Ceramics 2013年第3期2卷 235-241页

作者： Samita PATTAnayak Ashwasa PRIYADARSHAN Ritesh SUBUDHI ranjan Kumar nayak Rajib PADHEE Department of Physics Institute of Technical Education&ResearchSiksha‘O’Anusandhan UniversityBhubaneswar 751030India

The polycrystalline samples of Bi_(1-x)Pr_(x)FeO_(3)(x=0 and 0.1)were prepared by a solid-state reaction *** X-ray structural analysis has confirmed the formation of a single-phase *** of dielectric and impedance spectroscopy of the materials,carried out in wide frequency(1 kHz-1 MHz)and temperature(25-400℃)ranges,have provided many interesting results including significant decrement in tangent loss,structural stability,obeying Jonscher’s universal power law,etc.

关键词： ceramics impedance spectroscopy electrical conductivity

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Deep Convolutional Network Based Machine Intelligence Model for Satellite Cloud Image Classification

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Big Data Mining and Analytics 2023年第1期6卷 32-43页

作者： Kalyan Kumar Jena Sourav Kumar Bhoi Soumya ranjan nayak Ranjit Panigrahi Akash Kumar Bhoi Department of Computer Science and Engineering Parala Maharaja Engineering CollegeBerhampur 761003India Amity School of Engineering and Technology Amity UniversityUttar Pradesh 201303India Department of Computer Applications Sikkim Manipal Institute of TechnologySikkim Manipal UniversitySikkim 737102India Directorate of Research Sikkim Manipal UniversityGangtokSikkim 737102India

As a huge number of satellites revolve around the earth,a great probability exists to observe and determine the change phenomena on the earth through the analysis of satellite images on a real-time ***,classifying satellite images plays strong assistance in remote sensing communities for predicting tropical *** this article,a classification approach is proposed using Deep Convolutional Neural Network(DCNN),comprising numerous layers,which extract the features through a downsampling process for classifying satellite cloud *** is trained marvelously on cloud images with an impressive amount of prediction *** time decreases for testing images,whereas prediction accuracy increases using an appropriate deep convolutional network with a huge number of training dataset *** satellite images are taken from the Meteorological&Oceanographic Satellite Data Archival Centre,the organization is responsible for availing satellite cloud images of India and its *** proposed cloud image classification shows 94% prediction accuracy with the DCNN framework.

关键词： satellite images satellite image classification cyclone prediction Deep Convolutional Neural Network(DCNN) features layers down-sampling process

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Extraction of aluminium as aluminium sulphate from thermal power plant fly ashes

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Transactions of Nonferrous Metals Society of China 2017年第9期27卷 2082-2089页

作者： Seoul SANGITA Niva nayak Chitta ranjan PA Environment & Sustainability Department CSIR-Institute of Minerals & Materials Technology

Valuable metal extraction technology from thermal power plant fly ash is *** the present study,aluminium is extracted from fly ash as highly pure aluminium sulphate(>99.0%)by leaching with sulphuric acid,followed by pre-concentration and successive *** types of fly ashes from different sources,i.e.,Talcher Thermal Power Station(TTPS)and Vedanta Aluminium Company Limited(VAL)were chosen for comparative study on the extraction of aluminium as aluminium *** product is characterized by powder X-ray diffraction(XRD),Fourier transform infrared spectroscopy(FTIR)and thermogravimetric analysis(TGA).Purity of aluminium sulphate was also investigated by inductively coupled plasma?optical emission spectrometry(ICP?OES).The extraction efficiency of aluminium depends on the varied solid-to-liquid ratio(fly ash:18mol/L H2SO4,g/mL)and particle size of fly ***-chemical analysis indicates that the obtained product is Al2(SO4)3·18H2O,having low iron content(0.08%).

关键词： fly ash sulphuric acid aluminium sulphate leaching solid-to-liquid ratio particle size

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Heat and mass transfer effects on MHD viscoelastic fluid over a stretching sheet through porous medium in presence of chemical reaction

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Propulsion and Power Research 2016年第1期5卷 70-80页

作者： manoj Kumar nayak Gauranga Charan Dash Lambodar Prased Singh Department of Physics Radhakrishna Institute of Technology and EngineeringBijupatnaik University of TechnologyOdishaIndia Department of Mathematics I.T.E.R.Siksha‘O’Anusandhan UniversityOdishaIndia Department of Physics Utkal UniversityOdishaIndia

An attempt has been made to study the heat and mass transfcr effects in a boundary layer flow through porous medtium of an electrically conducting viscoelastic fluid subject to transverse magnetic field in the presence of heat sourcelsink and chemical *** has been considered the effects of radliation,viscous and Joule dissipations and intemal heat generation/*** form solutions for the boundary layer equations of viscoelastic,second-grxle and Walters'B’fluid models are *** method of solution involves similarity *** ransfommed equations of thermal and mass transport are solved by applying Kummer's *** solutions of temperature field for both prescribed surface temperature(PST)as well as prescribed surface heat flux(PHF)are *** is important to remark that the interaction of magnetic field is found to be counterproductive in enhancing velocity and concentration distibution whereas the presence of chemical reaction as well as porous matrix with moderate values of magnetic parameter reduces the temperature and concentration fields at all points of flow domain.

关键词： Stretching sheet Porous medium Viscoelastic Chemical reaction Kummer's function

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Bile Cast Nephropathy in Patients with Acute Kidney Injury Due to Hepatorenal Syndrome:A Postmortem Kidney Biopsy Study

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Journal of Clinical and Translational Hepatology 2017年第2期5卷 92-100页

作者： Suman Lata nayak manoj Kumar Chhagan Bihari Archana Rastogi Department of Nephrology Institute of Liver and Biliary Sciences New Delhi India Department of Hepatology and Liver Transplatation Institute of Liver and Biliary Sciences New Delhi India Department of Pathology Institute of Liver and Biliary Sciences New Delhi India

Background and Aims:The role of bile cast nephropathy (BCN) in pathogenesis of hepatorenal syndrome (HRS) in decompensated cirrhosis and acute on chronic liver failure (ACLF) is *** study aimed to determine the frequency of BCN detected on postmortem renal biopsy among patients with decompensated cirrhosis and ACLF who had been admitted with acute kidney injury due to HRS (HRAAKI) and expired during that ***:One-hundred-twenty-seven postmortem renal biopsies with adequate size (>1 cm in length) were included for *** were obtained from 84 patients with decompensated cirrhosis and 43 patients with ***:BCN was detected in 57 of the total 127 (44.8%) renal biopsy *** with BCN had significantly higher levels of serum total bilirubin,total leukocyte count and model for end-stage liver disease score,as compared to those without *** was detected in 32/43 (74.4%) of the patients with ACLF,as compared to 25/84 (29.7%) of the patients with decompensated cirrhosis (p < 0.001).On multivariate analysis,direct bilirubin (OR (95% CI):1.27 (1121-1.698);p < 0.001)and presence of ACLF (OR (95% CI):2.603 (1.054-7.111);p =0.041) were found to be significant predictors of BCN on postmortem renal ***:BCN was found in 72.1% of patients with ACLF and 27.4% patients with decompensated cirrhosis who had been hospitalized with an admitting diagnosis of HRS-AKI and who expired during that hospitalization and underwent postmortem renal *** serum bilirubin and presence of ACLF were found to be significant predictors of BCN on postmortem renal biopsy.

关键词： Bile cast nephropathy Acute kidney injury Hepatorenal syndrome

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