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Identification of Software Bugs by Analyzing Natural Language-Based Requirements Using Optimized Deep Learning Features

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Computers, Materials & Continua 2024年第3期78卷 4379-4397页

作者： Qazi Mazhar ul Haq Fahim Arif Khursheed Aurangzeb Noor ul Ain Javed Ali Khan Saddaf Rubab Muhammad Shahid Anwar Department of Computer Science and Engineering and International Bachelor’s Program in Informatics Yuan Ze UniversityZhongliTaoyuan320315Taiwan Department of Computer Science National University of PakistanRawalpindiPunjab46000Pakistan Department of Computer Software Engineering MCSNational University of Sciences and TechnologyIslamabad44000Pakistan Department of Computer Engineering College of Computer and Information SciencesKing Saud UniversityP.O.Box 51178Riyadh11543Saudi Arabia Department of Computer Science School of PhysicsEngineering and Computer ScienceUniversity of HertfordshireHatfieldAL109ABUK Department of Computer Engineering College of Computing and InformaticsUniversity of SharjahSharjah27272United Arab Emirates Department of AI and Software Gachon UniversitySeongnam-SI13120South Korea

Software project outcomes heavily depend on natural language requirements,often causing diverse interpretations and issues like ambiguities and incomplete or faulty *** are exploring machine learning to predict software bugs,but a more precise and general approach is *** bug prediction is crucial for software evolution and user training,prompting an investigation into deep and ensemble learning ***,these studies are not generalized and efficient when extended to other ***,this paper proposed a hybrid approach combining multiple techniques to explore their effectiveness on bug identification *** methods involved feature selection,which is used to reduce the dimensionality and redundancy of features and select only the relevant ones;transfer learning is used to train and test the model on different datasets to analyze how much of the learning is passed to other datasets,and ensemble method is utilized to explore the increase in performance upon combining multiple classifiers in a *** National Aeronautics and Space Administration(NASA)and four Promise datasets are used in the study,showing an increase in the model’s performance by providing better Area Under the Receiver Operating Characteristic Curve(AUC-ROC)values when different classifiers were *** reveals that using an amalgam of techniques such as those used in this study,feature selection,transfer learning,and ensemble methods prove helpful in optimizing the software bug prediction models and providing high-performing,useful end mode.

关键词： Natural language processing software bug prediction transfer learning ensemble learning feature selection

Data Temperature Informed Streaming for Optimising Large-Scale Multi-Tiered Storage

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Big Data Mining and Analytics 2024年第2期7卷 371-398页

作者： Dominic Davies-Tagg Ashiq Anjum Ali zahir Lu Liu Muhammad Usman Yaseen Nick Antonopoulos Department of Computing University of DerbyDerbyDE221GBUK Department of Informatics University of LeicesterLeicesterLE17RHUK Department of Computer Science COMSATS University IslamabadIslamabad 45550Pakistan Edinburgh Napier University EdinburghEH114BNUK

Data temperature is a response to the ever-growing amount of *** data have to be stored,but they have been observed that only a small portion of the data are accessed more frequently at any one *** leads to the concept of hot and cold *** data can be migrated away from high-performance nodes to free up performance for higher priority *** studies classify hot and cold data primarily on the basis of data age and usage *** present this as a limitation in the current implementation of data *** is due to the fact that age automatically assumes that all new data have priority and that usage is purely *** propose new variables and conditions that influence smarter decision-making on what are hot or cold data and allow greater user control over data location and their *** identify new metadata variables and user-defined variables to extend the current data temperature *** further establish rules and conditions for limiting unnecessary movement of the data,which helps to prevent wasted input output(I/O)*** also propose a hybrid algorithm that combines existing variables and new variables and conditions into a single data *** proposed system provides higher accuracy,increases performance,and gives greater user control for optimal positioning of data within multi-tiered storage solutions.

关键词： data temperature hot and cold data multi-tiered storage metadata variable multi-temperature system

Robust design of sliding mode control for airship trajectory tracking with uncertainty and disturbance estimation

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Journal of Systems Engineering and Electronics 2024年第1期35卷 242-258页

作者： WASIM Muhammad ALI Ahsan CHOUDHRY Mohammad Ahmad SHAIKH Inam ul Hasan SALEEM Faisal Department of Aeronautics and Astronautics Engineering Institute of Space TechnologyIslamabad 44000Pakistan Department of Electrical Engineering University of Engineering and TechnologyTaxila 47080Pakistan Department of Measurements and Control Systems Silesian University of TechnologyGliwice 44-101Poland The Joint Doctoral School Silesian University of TechnologyGliwice 44-100Poland

The robotic airship can provide a promising aerostatic platform for many potential *** applications require a precise autonomous trajectory tracking control for *** has a nonlinear and uncertain *** is prone to wind disturbances that offer a challenge for a trajectory tracking control *** paper addresses the airship trajectory tracking problem having time varying reference path.A lumped parameter estimation approach under model uncertainties and wind disturbances is opted against distributed *** uses extended Kalman filter(EKF)for uncertainty and disturbance *** estimated parameters are used by sliding mode controller(SMC)for ultimate control of airship trajectory *** comprehensive algorithm,EKF based SMC(ESMC),is used as a robust solution to track airship *** proposed estimator provides the estimates of wind disturbances as well as model uncertainty due to the mass matrix variations and aerodynamic model *** stability and convergence of the proposed method are investigated using the Lyapunov stability *** simulation results show that the proposed method efficiently tracks the desired *** method solves the stability,convergence,and chattering problem of SMC under model uncertainties and wind disturbances.

关键词： airship chattering extended Kalman filter(EKF) model uncertainties estimation sliding mode controller(SMC)

Clinico-Demographic Characteristics of Intestinal Tuberculosis in Pre-Operative Unsuspected Laparotomy as Incidental Findings in Bangladesh

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Journal of Tuberculosis Research 2017年第2期5卷 139-145页

作者： Md. Mizanur Rahman Ayub Ali Md. Abdullah Yusuf Md. Zamil Zaidur Rahim Md. Mahfuzur Rahman zahir-ul islam Gafargaon Upazilla Health Complex Mymensingh Bangladesh Shadar General Hospital Cox’s Bazar Bangladesh Department of Microbiology National Institute of Neurosciences & Hospital Dhaka Bangladesh Department of Orthopedics Combined Military Hospital Comilla Bangladesh Department of Neurosurgery National Institute of Neurosciences & Hospital Dhaka Bangladesh Railway General Hospital Dhaka Bangladesh

Background: Clinical presentation of intestinal tuberculosis is varied. It is also essential to know the clinical and demographic characteristics of incidentally detected intestinal tuberculosis patient. Objective: The purpose of the present study was to find out the clinic-demographic characteristics of intestinal tuberculosis in clinically and preoperatively unsuspected laparotomies. Methodology: This cross-sectional study was carried out in the Department of Surgery at Dhaka Medical College Hospital, Dhaka from March 2002 to March 2004 for a period of two (2) years. All the patients underwent laparotomy presented without any suspicion of pulmonary or intestinal tuberculosis were included as study population. Patients who were without the history of cough, haemoptysis, antitubercular drug therapy were included. Per operative suspicion was raised due to enlarged lymph nodes in mesentery, omental masses, ileocaecal masses, suspicious growth in ileum, omental thickening, perforation suspected by tuberculosis. Biopsy was taken from suspicious lesions. Histopathology was confirmed the tubercular lesion. Results: A total number of 300 patients under laparotomy were recruited for this study of which 38 positive cases were found in the study with a percentage of 12.7%. Maximum affected age group was 21 to 30 years which was 16 (42%) cases. Male was predominant to female which was 28 (73.7%) cases and 10 (26.3%) cases respectively. Low socioeconomic people are affected more (76.3%). Most common presentation in positive cases was acute and sub-acute intestinal obstruction 20 (52.6%) followed by intestinal perforation (26.31%). Conclusion: In conclusion young age male patient is the most commonly affected intestinal tuberculosis which is frequently presented with sub-acute intestinal obstruction among the preoperatively unsuspected laparotomy patients.

关键词： Intestinal Tuberculosis Unsuspected Laparotomy Clinic-Demographic Characteristics

Reservoir quality of the Late Cretaceous Volador Formation of the Latrobe group,Gippsland Basin,Australia:Implications from integrated analytical techniques

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Energy Geoscience 2024年第1期5卷 121-140页

作者： Kamalia Norjannah Kamalrulzaman Mohamed Ragab Shalaby Md Aminul islam Department of Geosciences Faculty of ScienceUniversiti Brunei DarussalamBrunei Darussalam Geology Department Faculty of ScienceTanta UniversityTanta31527Egypt

Increasing demand for energy due to the populous Eastern Australia has driven oil and gas industries to find new sources of hydrocarbons as they are the primary energy *** study has been done on the Volador Formation in the Gippsland Basin by means of core-based petrophysical,sedimentological,and petrographic analyses as well as well log-based interpretation and capillary pressure *** wells from Kipper,Basker and Tuna fields with available dataset were investigated in this study:Kipper-1,Basker-1,Basker-2,Basker-5 and ***,the formation has good reservoir quality based on the high porosity and permeability values obtained through core and well log petrophysical *** formation made up of mostly moderate to coarse quartz grains that has experienced strong anti-compaction and is poorly *** and illite clays are seen dispersed in the rock formation,with the minority being mixed *** clays and diagenetic features including kaolinite cement and quartz overgrowth that can lead to porosity reduction only have insignificant impact on the overall reservoir *** addition,capillary pressure data shows that most samples are found in the transition to good reservoir zones(ults obtained from this study have shown that the Volador Formation in the Gippsland Basin is worth for hydrocarbon exploration.

关键词： Volador formation Reservoir rock characterization Core-based Petrographic Well log based Capillary pressure

Internet Gaming Disorder and Mental Health of Children in China:A Latent Profile Analysis

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International Journal of Mental Health Promotion 2024年第7期26卷 517-529页

作者： Md zahir Ahmed Oli Ahmed Lingfeng Gao Mary C.Jobe Weijian Li School of Psychology Zhejiang Normal UniversityJinhua321004China Department of Psychology University of ChittagongChattogram4331Bangladesh Department of Psychological and Brain Sciences The George Washington UniversityWashington DC20052USA

In recent years,speculation of an increase in Internet Gaming Disorder(IGD)has surfaced with the growing popularity of internet gaming among Chinese children and *** detrimental impact of IGD on mental health cannot be denied,even though only a small portion of the screen-dependent population exhibits psychopathological and behavioral *** present study aimed to explore a latent proﬁle analysis(LPA)of Internet Gaming Disorder on the mental health of Chinese school *** data were collected from a sample of 1005 Chinese school students(49.8%male;age M=13.32,SD=1.34 years)using a paper-pencil survey through convenience *** explored three latent proﬁles of internet gamers:regular gamers(62.4%),moderate gamers(28.1%),and probable disordered gamers(9.4%).Results showed that the probable disordered gamers had signiﬁcantly higher levels of depression,anxiety,emotional and conduct problems,hyperactivity,and peer problem symptoms as well as lower life satisfaction,and pro-social symptoms compared to regular and moderate gamers(puld be helpful to mental health professionals in designing interventions for gamers who present IGD *** longitudinal studies should also be undertaken to assess whether mental health worsens for probable disordered gamers.

关键词： Internet gaming disorder latent proﬁle analysis mental health children and adolescents China

Deep Learning Based Efficient Crowd Counting System

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Computers, Materials & Continua 2024年第6期79卷 4001-4020页

作者： Waleed Khalid Al-Ghanem Emad ul Haq Qazi Muhammad Hamza Faheem Syed Shah Amanullah Quadri Department of Computer Engineering College of Computer and Information SciencesKing Saud UniversityRiyadh12372Saudi Arabia Centre of Excellence in Cybercrime and Digital Forensics Naif Arab University for Security SciencesRiyadh14812Saudi Arabia Center of Excellence for Information Assurance(COEIA) King Saud UniversityRiyadh12372Saudi Arabia

Estimation of crowd count is becoming crucial nowadays,as it can help in security surveillance,crowd monitoring,and management for different *** is challenging to determine the approximate crowd size from an image of the crowd’s *** in this research study,we proposed a multi-headed convolutional neural network architecture-based model for crowd counting,where we divided our proposed model into two main components:(i)the convolutional neural network,which extracts the feature across the whole image that is given to it as an input,and(ii)the multi-headed layers,which make it easier to evaluate density maps to estimate the number of people in the input image and determine their number in the *** employed the available public benchmark crowd-counting datasets UCF CC 50 and ShanghaiTech parts A and B for model training and testing to validate the model’s *** analyze the results,we used two metrics Mean Absolute Error(MAE)and Mean Square Error(MSE),and compared the results of the proposed systems with the state-of-art models of crowd *** results show the superiority of the proposed system.

关键词： Crowd counting EfficientNet multi-head attention convolutional neural network transfer learning

Beyond Stitches: Analysis of Disease Burden in a Bangladeshi RMG Factory

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Health 2024年第7期16卷 688-702页

作者： Mariam Zaman Tayeb Ahmmed Nabila Binte Hossain S. M. Raysul Haque Ariful islam Joarder Kamran ul Baset Department of Procurement SM Group Dhaka Bangladesh Department of Neurosurgery Bangabandhu Sheikh Mujib Medical University (BSMMU) Dhaka Bangladesh Department of Public Health Independent University Bangladesh (IUB) Dhaka Bangladesh Department of Cardiology Bangabandhu Sheikh Mujib Medical University (BSMMU) Dhaka Bangladesh

Introduction: Bangladesh has experienced remarkable growth in RMG over the past 25 years. With the knitwear industry providing more than 4 million direct jobs, providing better occupational health and safety of workers remains a challenge. Aim of the study: The aim of the study was to analyze the disease burden of a RMG factory, and to highlight occupational health risks. Methods: A cross-sectional study design was employed for this analysis. A 17-month data entry (January 2020 - May 2021) was gathered from the factory in-house clinic. The socio-demographic and clinical diagnosis entries of 8421 entries were analyzed. Result: The population of the factory workers is 5370, where 40% (2148) are female workers and 60% (3222) are male workers. The mean age of respondents is 30 years, with a SD of ±7 years. Among the chief complaints, the most common was vomiting (14%;2262) fever (14%;2247), runny nose (11%;1842), cough (9%;1465), and loose motion (8%;1364). In the diagnosis categories, gastrointestinal diseases were more predominantly diagnosed (35%;2978), followed by viral fever (21%;1772), neurological diseases (16.5%;1389) and musculoskeletal disorders (9%;768). The average cost of medicine for each respondent is BDT 36. The factory covered costs of all medication for 99% (8380) of respondents. Only 0.5% (37) was referred to a tertiary hospital for further evaluation. Conclusion: Garments workers suffer mostly from long-term occupational health hazards. Factory owners and policy makers can contribute in various ways to improving primary healthcare options for workers.

关键词： RMG Disease Burden Work Related Disease Communicable Disease Occupational Safety

Review of coastal land transformation:Factors,impacts,adaptation strategies,and future scopes

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Geography and Sustainability 2024年第2期5卷 167-178页

作者： Md.Abubakkor Siddik Abu Reza Md.Towfiqul islam Dr.Wazed Research and Training Institute Begum Rokeya UniversityRangpur 5404Bangladesh Department of Emergency Management Patuakhali Science and Technology UniversityPatuakhali-8602Bangladesh Department of Disaster Management Begum Rokeya UniversityRangpur 5404Bangladesh Department of Development Studies Daffodil International UniversityDhaka 1216Bangladesh

Coastal land transformation has been identified as a topic of research in many countries around the *** studies have been conducted to determine the causes and impacts of land ***,much less is understood about coupling change detection,factors,impacts,and adaptation strategies for coastal land transformation at a global *** review aims to present a systematic review of global coastal land transformation and its leading research *** 1,741 documents of Scopus and Web of Science,60 studies have been selected using the PRISMA-2020 *** revealed that existing literature included four leading focus areas regarding coastal land transformation:change detection,driving factors,impacts,and adaptation *** focus areas were further analyzed,and it was found that more than 80%of studies used Landsat imagery to detect land *** growth and urbanization were among the major driving factors *** review further identified that about 37%of studies included impact *** studies identified impacts on ecosystems,land surface temperature,migration,water quality,and occupational effects as significant ***,only four studies included adaptation *** review explored the scope of comprehensive research in coastal land transformation,addressing change detection,factor and impact analysis,and mitigation-adaptation *** research also proposes a conceptual framework for comprehensive coastal land transformation *** framework can provide potential decision-making guidance for future studies in coastal land transformation.

关键词： Coastal land transformation Land use and land cover Landsat Population PRISMA