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Automated Time Based Multi-Criteria Bug Triage Approach:Developer Working Efficiency and Social Network Based Developer Recommendation

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Journal of Shanghai Jiaotong university(Science) 2024年第3期29卷 566-578页

作者： YADAV Asmita singh kumar sandeep Krishna Engineering College Ghaziabad 201007India JIIT Noida 201309India

In software development projects,bugs are common *** report bugs in open source *** is a need to develop high quality developer prediction model that considers developer work satisfaction,keep within limited development cost,and improve bug resolution *** address and resolve bug report as soon as possible is the main focus of triager when a new bug is ***,developer work efficiency is an important factor in *** address these issues,a proposed approach recommends a set of developers that could potentially share their knowledge with each other to fix new bug *** proposed approach is called developer working efficiency and social network based developer recommendation(DweSn).It is a composite model that builds developers'profile by using developer average bug fixing time,work efficiency to fix variety of bugs,as well as the developer's social interactions with other developers.A similarity measure is applied between new bug and bugs in corpus to extract the list of capable developers from the *** proposed approach only selects those developers who are active and less loaded with *** developer with the highest profile score is assigned the *** evaluated our approach on the subset of five large open-source projects including Mozilla,Netbeans,Eclipse,Firefox and OpenOffice,and compared it with the *** results demonstrate that combination of developers'efficiency with their average bug fixing time and interactions in their social network gives good accuracy and efficiently reduces bug tossing *** approach shows an improvement in prediction accuracy,precision,recall,F-score and reduced bug tossing length up to 93.89%,93.12%,93.46%,93.27%and 93.25%,*** proposed approach achieved a 93%hit ratio and 93.34%mean reciprocal rank,indicating that our proposed triager is able to efficiently assign bugs to correct developers.

关键词： open-source repository bug report bug assignment tossing length bug triager developer social network developer recommendation

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Early Paleozoic basement diorite of arc-magmatism from Kutch basin, Western India

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Acta Geochimica 2024年第2期43卷 296-307页

作者： Piyush Gupta sandeep singh Shakti singh Rathore Argha Narayan Sarkar Geochronology Laboratory KDMIPEOil and Natural Gas Corporation Ltd.9Kaulagarh RoadDehradun 248195India Department of Earth Sciences Indian Institute of TechnologyRoorkee 247667India

In this study,we report for theﬁrst time an Early Palaeozoic basement diorite from the drilled well Nirona-A in the Banni Half-Graben of the Kutch basin,western *** 40Ar–39Ar dates provided a plateau age of 441.84±2.66 Ma and another pseudo plateau of 441.28±5.82 to 388.08±16.65 Ma for the basement *** ages constrain the basement formation age to the Late Ordovician-Early Silurian *** obtained basement ages are correlatable with the later part of Cambro-Ordovician alkaline magmatism that has been reported from the Huqf area in Central Oman,whereas their lithological and petrographic correlativity with base-ment diorites occurring in the Dinsi Body of Nagar Parkar igneous complex in Pakistan can also be *** geochemical studies characterized the diorite with enrich-ment of LILE(Rb,Ba,and K)and LREE(La,Ce,Nd),strong depletion of HFSE(Nb,Sr,P,and Ti),along with weakly negative Eu *** geochemical signatures indicate their petrogenetic afﬁliation with mantle-derived magmas,as well as their tectonic setting to be arc-related,having post-collisional continental-arc type afﬁ****440 Ma basement of Kutch,therefore,appears to rep-resent the later thermal event associated with the reworked Neoproterozoic subduction-related suite from Greater India’s northwest edge,which has implications for Gond-wana assembly in the northwest Indian subcontinent.

关键词： Kutch basin 40Ar–39Ar ages Early palaeozoic basement Continental-arc magmatism Calc-alkaline magmatism

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On the Enhanced Power Graph of a Semigroup

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Algebra Colloquium 2024年第1期31卷 83-96页

作者： sandeep Dalal Jitender kumart Siddharth singh Department of Mathematics Birla Institute of Technology and Science Pilani PilaniIndia

The enhanced power graph P_(E)(S)of a semigroup S is a simple graph whose vertex set is S and two vertices a,y∈S are adjacent if and only if c,y∈(z)for some z∈S,where(z)is the subsemigroup generated by *** this paper,we first describe the structure of P_(E)(S)for an arbitrary semigroup S,and then discuss the connectedness of P_(E)(S).Further,we characterize the semigroup S in the cases when P_(E)(S)is separately a complete,bipartite,regular,tree and null *** planarity,together with the minimum degree and independence number,of P_(E)(S)is also *** chromatic number of a spanning subgraph,i.e.,the cyclic graph,of P_(E)(S)is proved to be *** the final part of this paper,we construct an example of a semigroup S such that the chromatic number of P_(E)(S)need not be countable.

关键词： monogenic semigroup completely regular semigroup planar graph enhanced powergraph

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Robust Facial Biometric Authentication System Using Pupillary Light Reflex for Liveness Detection of Facial Images

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Computer Modeling in Engineering & Sciences 2024年第4期139卷 725-739页

作者： Puja S.Prasad Adepu Sree Lakshmi sandeep Kautish Simar Preet singh Rajesh kumar Shrivastava Abdulaziz S.Almazyad Hossam M.Zawbaa Ali Wagdy Mohamed CSE Department Geethanjali College of EngineeringHyderabadTelangana501301India Department of Computer Science LBEF CampusKathmandu44600Nepal School of Computer Science Engineering and Technology(SCSET) Bennett UniversityGreater Noida201310India Department of Computer Engineering College of Computer and Information SciencesKing Saud UniversityP.O.Box 51178Riyadh11543Saudi Arabia CeADAR Ireland’s Centre for AI Technological University DublinDublinD07 EWV4Ireland Operations Research Department Faculty of Graduate Studies for Statistical ResearchCairo UniversityGiza12613Egypt Applied Science Research Center Applied Science Private UniversityAmman11937Jordan

Pupil dynamics are the important characteristics of face spoofing *** face recognition system is one of the most used biometrics for authenticating individual *** main threats to the facial recognition system are different types of presentation attacks like print attacks,3D mask attacks,replay attacks,*** proposed model uses pupil characteristics for liveness detection during the authentication *** pupillary light reflex is an involuntary reaction controlling the pupil’s diameter at different light *** proposed framework consists of two-phase *** the first phase,the pupil’s diameter is calculated by applying stimulus(light)in one eye of the subject and calculating the constriction of the pupil size on both eyes in different video *** above measurement is converted into feature space using Kohn and Clynes model-defined *** Support Vector Machine is used to classify legitimate subjects when the diameter change is normal(or when the eye is alive)or illegitimate subjects when there is no change or abnormal oscillations of pupil behavior due to the presence of printed photograph,video,or 3D mask of the subject in front of the *** the second phase,we perform the facial recognition ***-invariant feature transform(SIFT)is used to find the features from the facial images,with each feature having a size of a 128-dimensional *** features are scale,rotation,and orientation invariant and are used for recognizing facial *** brute force matching algorithm is used for matching features of two different *** threshold value we considered is 0.08 for good *** analyze the performance of the framework,we tested our model in two Face antispoofing datasets named Replay attack datasets and CASIA-SURF datasets,which were used because they contain the videos of the subjects in each sample having three modalities(RGB,IR,Depth).The CASIA-SURF datasets showed an 89.9%Equal Err

关键词： SIFT pupil CASIA-SURF pupillary light reflex replay attack dataset brute force

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Magnesium oxide(MgO)nanoadsorbents in wastewater treatment:A comprehensive review

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Journal of Magnesium and Alloys 2024年第5期12卷 1709-1773页

作者： H.C.S.Perera V.Gurunanthanan Anoop singh M.M.M.G.P.G.Mantilaka G.Das sandeep Arya Department of Physics Khalifa UniversityAbu Dhabi12788United Arab Emirates Postgraduate Institute of Science University of PeradeniyaPeradeniyaSri Lanka Department of Humanities and Sciences Guru Nanak Institutions Technical CampusIbrahimpatnamHyderabad501506India Centre for Global Health Research Saveetha Medical College and HospitalsSaveetha Institute of Medical and Technical SciencesChennai602105Tamil NaduIndia Department of Physics University of JammuJammu and Kashmir180006India

Wastewater contamination by heavy metals and synthetic dyes presents a significant environmental challenge,necessitating effective and sustainable separation *** review article provides a detailed examination of magnesium oxide(MgO)nanoparticles as an innovative nanoadsorbent for wastewater treatment,with a specific focus on heavy metal and dye *** review comprehensively explores various aspects of MgO nanoparticles,including their structural characteristics and synthesis *** article delves into the morphology and crystallographic arrangement of MgO nanoparticles,offering insights into their structural *** the complexity of adsorption processes,the review identifies and analyzes parameters influencing the adsorption efficiency of MgO nanoparticles,such as temperature,pH,contact time,initial concentration,and co-existing *** interplay between these parameters and the adsorption capability of MgO nanoparticles emphasizes the importance of optimizing operational ***,the review assesses various synthesis methods for MgO nanoparticles,including sol-gel,hydrothermal,precipitation,green synthesis,solvothermal,and template-assisted *** discusses the advantages,limitations,and resulting nanoparticle characteristics of each method,enabling readers to grasp the implications of synthesis processes on adsorption *** comprehensive review consolidates current insights into the effectiveness of MgO nanoparticles as a potent nanoadsorbent for removing heavy metals and dyes from wastewater covering a wide spectrum of aspects related to MgO ***,there is a need to investigate the use of MgO in the treatment of actual wastewater or river water,in order to leverage its cost-effectiveness and high efficiency for practical water treatment applications in real-time.

关键词： MgO nanoparticles Nanoadsorbent Wastewater treatment Heavy metals Dye separation Adsorption Synthesis methods

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Elevated cardiovascular risk and acute events in hospitalized colon cancer survivors:A decade-apart study of two nationwide cohorts

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World Journal of Clinical Oncology 2024年第4期15卷 548-553页

作者： Rupak Desai Avilash Mondal Vivek Patel sandeep singh Shaylika Chauhan Akhil Jain Independent Researcher AtlantaGA 30079United States Department of Internal Medicine Nazareth HospitalPhiladelphiaPA 19152United States Department of Clinical Epidemiology Biostatistics and Bio-informaticsAmsterdam UMCAmsterdam 7057Netherlands Department of Internal Medicine Geisinger Health SystemWikes-BarrePA 18702United States Division of Leukemia The University of Texas MD Anderson Cancer CenterHoustonTX 77079United States

BACKGROUND Over the years,strides in colon cancer detection and treatment have boosted survival rates;yet,post-colon cancer survival entails cardiovascular disease(CVD)*** on CVD risks and acute cardiovascular events in colorectal cancer survivors has been *** To compare the CVD risk and adverse cardiovascular outcomes in current colon cancer survivors compared to a decade *** We analyzed 2007 and 2017 hospitalization data from the National Inpatient Sample,studying two colon cancer survivor groups for CVD risk factors,mortality rates,and major adverse events like pulmonary embolism,arrhythmia,cardiac arrest,and stroke,adjusting for confounders via multivariable regression *** Of total colon cancer survivors hospitalized in 2007(n=177542)and 2017(n=178325),the 2017 cohort often consisted of younger(76 vs 77 years),male,African-American,and Hispanic patients admitted non-electively vs the 2007 ***,the 2017 cohort had higher rates of smoking,alcohol abuse,drug abuse,coagulopathy,liver disease,weight loss,and renal *** in the 2017 cohort also had higher rates of cardiovascular comorbidities,including hypertension,hyperlipidemia,diabetes,obesity,peripheral vascular disease,congestive heart failure,and at least one traditional CVD(P<0.001)vs the 2007 *** adjusted multivariable analysis,the 2017 cohort had a significantly higher risk of pulmonary embolism(PE)(OR:1.47,95%CI:1.37-1.48),arrhythmia(OR:1.41,95%CI:1.38-1.43),atrial fibrillation/flutter(OR:1.61,95%CI:1.58-1.64),cardiac arrest including ventricular tachyarrhythmia(OR:1.63,95%CI:1.46-1.82),and stroke(OR:1.28,95%CI:1.22-1.34)with comparable all-cause mortality and fewer routine discharges(48.4%vs 55.0%)(P<0.001)vs the 2007 *** Colon cancer survivors hospitalized 10 years apart in the United States showed an increased CVD risk with an increased risk of acute cardiovascular events(stroke 28%,PE 47%,arrhythmia 41%,and cardiac arres

关键词： Colon cancer Colorectal cancer Cardiovascular diseases Cardiovascular disease risk Cardiac events Stroke

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Performance Analysis of Machine Learning Algorithms for Classifying Hand Motion-Based EEG Brain Signals

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Computer Systems Science & Engineering 2022年第9期42卷 1095-1107页

作者： Ayman Altameem Jaideep singh Sachdev Vijander singh Ramesh Chandra Poonia sandeep kumar Abdul Khader Jilani Saudagar Department of Computer Science College of Applied StudiesKing Saud UniversityRiyadh11495Saudi Arabia Department of Computer Science and Engineering Manipal University JaipurJaipur303007India Department of Computer Science CHRIST(Deemed to be University)Bangalore560029India Department of Computer Science and Engineering CHRIST(Deemed to be University)Bangalore560074India Information Systems Department Imam Mohammad Ibn Saud Islamic University(IMSIU)Riyadh11432Saudi Arabia

Brain-computer interfaces (BCIs) records brain activity using electroencephalogram (EEG) headsets in the form of EEG signals;these signals can berecorded, processed and classified into different hand movements, which can beused to control other IoT devices. Classification of hand movements will beone step closer to applying these algorithms in real-life situations using EEGheadsets. This paper uses different feature extraction techniques and sophisticatedmachine learning algorithms to classify hand movements from EEG brain signalsto control prosthetic hands for amputated persons. To achieve good classificationaccuracy, denoising and feature extraction of EEG signals is a significant step. Wesaw a considerable increase in all the machine learning models when the movingaverage filter was applied to the raw EEG data. Feature extraction techniques likea fast fourier transform (FFT) and continuous wave transform (CWT) were usedin this study;three types of features were extracted, i.e., FFT Features, CWTCoefficients and CWT scalogram images. We trained and compared differentmachine learning (ML) models like logistic regression, random forest, k-nearestneighbors (KNN), light gradient boosting machine (GBM) and XG boost onFFT and CWT features and deep learning (DL) models like VGG-16, DenseNet201 and ResNet50 trained on CWT scalogram images. XG Boost with FFTfeatures gave the maximum accuracy of 88%.

关键词： Machine learning brain signal hand motion recognition braincomputer interface convolutional neural networks

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Evaluation of phenolic composition, antioxidant, anti-inflammatory and anticancer activities of Polygonatum verticillatum(L.)

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Journal of Integrative Medicine 2018年第4期16卷 273-282页

作者： sandeep kumar singh Arjun Patra Institute of Pharmacy Guru Ghasidas University

Objective： Polygonaturn verticillatum （L） All. （Ruscaceae）, one of the Ashtawarga plants, is widely used for treatment of various ailments. The present study was undertaken to determine the phenolic composition, antioxidant, anti-inflammatory and anticancer activities of several extracts （petroleum ether, dichloro- methane, chloroform, ethanol, and aqueous） from the rhizomes of the plant. Methods： Coarsely powdered dry rhizome was successively extracted with different solvents of increas- ing polarity （petroleum ether, dichloromethane, chloroform, ethanol and water）. The phenolic composi- tions, in terms of total phenolic content （TPC）, total flavonoid content （TFC） and total condensed tannin content （JTC）, were evaluated with the Folin-Ciocalteu assay, aluminum chloride colorimetric assay and vanillin spectrophotometric assay, respectively. Total antioxidant capacity, 1,1-diphenyl-2- picrylhydrazyl and 2,2＇-azino-his（3-ethylbenzothiazoline-6-sulfonic acid） assays were used to assess the antioxidant potential of each extract. A protein denaturation model and 3-（4,5-dimethylthiazol-2- yl）-2,5-diphenyltetrazolium bromide assay were used to evaluate in vitro anti-inflammatory and anti- cancer activities, respectively. Gas chromatography-mass spectrometry （GC/MS） analysis was carried out to demonstrate various phytoconstituents in each extract. Correlation studies were also performed between phenolic composition （TPC, TFC and TFC） and different biological activities. Results： Ethanol extract showed maximum TPC （0.126 mg/g, gallic acid equivalent in dry sample）, TFC （0.094 mg/g, rutin equivalent in dry sample） and TTC （29.32 mg/g, catechin equivalent in dry sample）, as well as antioxidant and anti-inflammatory properties. Chloroform extract exhibited the strongest cyto- toxicity against the human breast cancer cell line, MCF-7. GC/MS analysis revealed the presence of 90 different phytoconstituents among the extracts. Antioxidant and anti-inflammatory activities had a pos

关键词： Polygonatum verticillatum Gas chromatography-mass spectrometry Phenolic profile MCF-7 cells

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Rapid accessibility evaluation for ballistic lunar capture via manifolds: A Gaussian process regression application

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Astrodynamics 2022年第4期6卷 375-397页

作者： sandeep K.singh John L.Junkins Manoranjan Majji Ehsan Taheri Department of Aerospace Engineering Texas A&M UniversityCollege StationTX 77843USA Department of Aerospace Engineering Auburn UniversityAuburnAL 36849USA

In this study,a supervised machine learning approach called Gaussian process regression(GPR)was applied to approximate optimal bi-impulse rendezvous maneuvers in the cis-lunar *** demonstrate the use of the GPR approximation of the optimal bi-impulse transfer to patch points associated with various invariant manifolds in the cis-lunar *** proposed method advances preliminary mission design operations by avoiding the computational costs associated with repeated solutions of the optimal bi-impulsive Lambert transfer because the learned map is computationally *** approach promises to be useful for aiding in preliminary mission *** use of invariant manifolds as part of the transfer trajectory design offers unique features for reducing propellant consumption while facilitating the solution of trajectory optimization *** ballistic capture coasts are also very attractive for mission guidance,navigation,and control robustness.A multi-input single-output GPR model is presented to represent the fuel costs(in terms of theΔV magnitude)associated with the class of orbital transfers of interest *** developed model is also proven to provide efficient *** multi-resolution use of local GPRs over smaller sub-domains and their use for constructing a global GPR model are also *** of the unique features of GPRs is that they provide an estimate of the quality of approximations in the form of covariance,which is proven to provide statistical consistency with the optimal trajectories generated through the approximation *** numerical results demonstrate our basis for optimism for the utility of the proposed method.

关键词： Gaussian process regression supervised learning invariant manifolds ballistic transfers Bayesian inference

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Ordering Cost Depletion in Inventory Policy with Imperfect Products and Backorder Rebate

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Computers, Materials & Continua 2021年第3期66卷 2343-2357页

作者： sandeep kumar Teekam singh Kamaleldin Abodayeh Wasfi Shatanawi Department of Mathematics Graphic Era Hill UniversityDehradun248002India Department of Mathematics Graphic Era Deemed UniversityDehradun248002India Department of Mathematics and General Sciences Prince Sultan UniversityRiyadh11586Saudi Arabia China Medical University Hospital China Medical UniversityTaichung40402Taiwan Department of Mathematics Hashemite UniversityZarqa13133Jordan

This study presents an inventory model for imperfect products with depletion in ordering costs and constant lead time where the price discount in the backorder is *** imperfect products are refused or modified or if they reached to the customer,returned and thus some extra costs are *** some of the researchers explicitly present on the significant association between size of lot and quality *** practical situations,the unsatisfied demands increase the period of lead time and decrease the *** control customers'problems and losses,the supplier provides a price discount in backorders during ***,an order’s policies may result in including some imperfect products in arrival lots.A discount on price may be offered by the supplier on the out-of-stock products to manage the backorder *** study aims to develop a model with imperfect products by permitting the price discount in backorders,and the cost of ordering is considered a decision ***,it is assumed that the demand for lead time is followed by a normal distribution and then stops it and assumed that the first two moments of demand for lead time are ***,the minimax distribution method is used to solve this model,and a separate algorithm is *** this study,two models are discussed with and without a normally distributed rate of *** current study verified with the help of some numerical examples over various model parameters.

关键词： Inventory ordering cost imperfect product lead time backorder

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