检索结果-内蒙古大学图书馆

A Data-Driven Analysis of Software Testing Automation Challenges Using Structural Equation Modeling (SEM) Approach

IEEE Access 2025年 13卷 96159-96181页

作者： Abrar, Muhammad Faisal Faran Majeed, Muhammad Saqib, Muhammad Alferaidi, Ali Razauddin University of Hail College of Computer Science and Engineering Hail55476 Saudi Arabia Kohsar University at Murree Department of Computer Science Punjab Murree47150 Pakistan University of Engineering and Technology at Peshawar Department of Software Engineering Peshawar25000 Pakistan

The adoption of automation in software testing presents challenges that can hinder its effectiveness and scalability. This study systematically investigates these challenges using a multi-phase research approach. First, a Systematic Literature Review (SLR) was conducted to identify 14 Critical Challenges (CCs) in automation adoption. Second, a questionnaire survey of 50 industry experts validated these challenges and examined their interrelationships. Finally, Structural Equation Modeling (SEM) a mathematical and statistical approach was employed to analyze correlations and uncover structural dependencies among the challenges. The SEM analysis identified five latent variables: Human Resource Constraints (HRC), Technological & Process Challenges (TPC), Financial & Resource Constraints (FRC), Security & Reliability Issues (SRI), and Future Adaptability & Scalability (FAS) that significantly influence automation adoption. Hypothesis testing revealed that HRC (-0.32), TPC (-0.45), FRC (−0.41), and SRI (−0.38) negatively impact automation success, whereas FAS (+0.51) plays a pivotal role in enabling successful adoption. Model validation through Confirmatory Factor Analysis (CFA) and Exploratory Factor Analysis (EFA) confirmed strong construct reliability and fit indices (RMSEA = 0.043, CFI = 0.95, TLI = 0.92, SRMR = 0.037). The study highlights the need for workforce training, standardized automation processes, cost-effective solutions, and security enhancements. By providing an empirically validated framework, this research contributes to both academia and industry, guiding decision-makers in optimizing automation strategies and improving software testing efficiency. © 2013 IEEE.

关键词： Software testing

来源：评论

学校读者我要写书评

暂无评论

Gene Variant Analysis for the Detection of Hemophilia: A Literature Review

引用

Recent Patents on engineering 2024年第9期18卷 48-62页

作者： Sumathi, N. Anitha Kumari, K. Department of Computer Science and Engineering Dr. Mahalingam College of Engineering and Technology Tamil Nadu Pollachi India Department of Information Technology PSG College of Technology Tamil Nadu Coimbatore641004 India

Background: Proteins act as clotting factors to stop bleeding at the lesion site. This implies that people with hemophilia tend to bleed longer after an injury and are more prone to internal bleeding. Depending on the type of hemophilia, individuals with hemophilia will have lesser amounts of factor VIII or factor IX than people without it. Objective: By analyzing the gene variant of hemophilia affected patient we can predict the severity of disease at earlier stage which helps to avoid further complications. Methods: Predicting hemophilia can be achieved through potential technologies like machine learning. Using these technologies, one can detect and predict the severity of hemophilia, such as mild, moderate, or severe. Results: By comparing the methods used in protein structure analysis, the advantages and limitations of methods used in protein structure analysis are discussed. Conclusion: The best practices in predicting hemophilia are highlighted in this patent study and particularly aim at the basic understanding of applying the potential technologies in the prediction of hemophilia and its severity. This study represents recent research on hemophilia and the use of different machine learning techniques (MLT) in this area. © 2024 Bentham science Publishers.

关键词： Proteins

来源：评论

学校读者我要写书评

暂无评论

Smart automated highway lighting system using IoT: a survey

引用

Energy Informatics 2024年第1期7卷 76页

作者： Achar, Tejaswini Eshwar Rekha, C. Shreyas, J. Department of Computer Science and Engineering Government Engineering College Koppal Talakal India Department of Information Science and Engineering Bapuji Institute of Engineering and Technology Davanagere India Department of Information Technology Manipal Institute of Technology Bengaluru Manipal Academy of Higher Education Manipal India

Efficient highway lighting is crucial for ensuring road safety and reducing energy consumption and costs. Traditional highway lighting systems rely on timers or simple photosensors, leading to inefficient operation by illuminating lights when not needed or failing to adjust to changing conditions. The emergence of the Internet of Things (IoT) and related technologies has enabled the development of smart automated highway lighting systems that can dynamically control illumination levels based on real-time data. This paper provides a comprehensive review of the current state-of-the-art in smart automated highway lighting systems employing IoT technologies. Key components, communication protocols, data processing techniques, and lighting control strategies are discussed. The integration of renewable energy sources and energy storage systems is explored for environmentally sustainable operations. Practical implementation case studies are analyzed to highlight benefits and challenges. Open research issues and future directions for further enhancements are identified. © The Author(s) 2024.

关键词： Street lighting

来源：评论

学校读者我要写书评

暂无评论

Enhancing Campus Safety: A Comprehensive Approach with IoT and OpenCV technology 4

Enhancing Campus Safety: A Comprehensive Approach with IoT a...

引用

4th International Conference on Smart Electronics and Communication, ICOSEC 2023

作者： Presskila, X. Arogya Kumari, D. Abitha Darney, P. Ebby Sundararajan, S. Sankar Ram, C. Ramasamy Sangeetha, A. Scad College of Engineering and Technology Department of Computer Science and Engineering Cheranmahadevi India Rmk Engineering College Department of Computer Science and Engineering Thiruvallur India Rajarajeswari College of Engineering Department of Electrical and Electronics Engineering Bangalore India Scad College of Engineering and Technology Department of Mechanical Engineering Cheranmahadevi India University College of Engineering Anna University Department of Computer Science and Engineering Tiruchirappalli India PSNA College of Engineering and Technology Department of Information Technology Dindigul India

ISBN: (纸本)9798350300888

The COVID-19 pandemic has brought about a significant shift in people's lifestyles, prompting a complete change in their way of life. Prioritizing teacher and student health before permitting them to visit college grounds has become crucial because the virus is evolving and posing a threat to human survival. In order to do this a three-stage examining process that entails the following phases was developed. The system first verifies to validate if the visitor has received all necessary vaccinations. Second, the system keeps tabs on the people health during the second phase. Lastly, nobody is allowed on the college campus without a mask. The device also provides hand sanitizing solutions to the guests, ensuring everyone is as safe and protected as possible. © 2023 IEEE.

关键词： Viruses

来源：评论

学校读者我要写书评

暂无评论

Implementation and Development of Static Hand gesture recognition in a real time using Diagonal Sum algorithm for Gestural Language 2

Implementation and Development of Static Hand gesture recogn...

引用

2nd IEEE International Conference on Emerging Research in Computational science, ICERCS 2024

作者： Jemin, V.M. Sasikumar, R. RMK College of Engineering and Technology Department of Computer Science and Engineering Thiruvallur India RMD Engineering College Department of Computer Science and Engineering Thiruvallur India

ISBN: (纸本)9798331534950

This manuscript deems the proposal over utilization of computer digitized vision over the gesture recognition. Gesture language is a language that determines the requirement over combining the finger gesture, its orientation, arm and hand movement, facial & body expression that simultaneously explores and advertises the people thoughts. The digital camera makes the recording of live motion streams of pictures with which the acquisition of image is made with the assistance of interface. The training of system is made over each sort of Figureureureureure gestures as representing (5,4,3,2 or 1) atleast in a single time. Later on, the test symbol is delivered and the system makes a try for detecting it. In this proposed study the detection of Figureureureureure gestures is made using the strategy of image processing. The system makes the detection of cumulative finger count. Later on, it makes the identification of individual fingers above the palm. During the processing, it initially makes the detection of skin tone (Color) from the acquired image by the utilization of filter. The image is allowed to process through subsequent steps in order to depict the correct count of fingers. The model makes the detection over the nearer point from the threshold value. The detection of image is made as per the centroid value. Later on, the implication of certain steps is made for enhancing the normal image to an efficient image so that the exposure of fingers is made. Finally, the model makes the detection and decides the finger count and advertises the calculation to the tester. As a result, the classification is done using artificial neural networks based on the previously formulated training model that has been built and realized with more than 92.5% of accuracy in the finger gesture recognition. In this study, the comparison has also been enumerated with other state of art algorithms designed by many researchers. The classification has been illustrated with diagonal sum algori

关键词： Binary images

来源：评论

学校读者我要写书评

暂无评论

Modified microstrip fed of pentagon shape aperture coupling with RDRA for 5G wireless application

引用

Materials Today: Proceedings 2022年 60卷 1665-1669页

作者： Manikandan, B. Muneeshwari, P. Sathya Sofia, A. Karthikeyan, G. Athilingam, R. Department of Electronics and Communication Engineering Nadar Saraswathi College of Engineering and Technology Theni India Department of Computer Science and Engineering SRM Institute of Science and Technology Chennai India Department of Computer Science and Engineering PSNA College of Engineering and Technology Dindigul India Department of Electronics and Instrumentation Engineering Dr. Mahalingam College of Engineering and Technology Pollachi India

In this paper, a rectangular dielectric resonator antenna (RDRA) with modified microstrip feed is proposed. A pentagon-shaped aperture coupling with a bifurcated modified microstrip-line (MSTL) was used to excite the DRA element on the FR4 substrate's backside, resulting in a 3.8 GHz band. Optimizing the design parameters yields a 10% increase in impedance bandwidth, covering frequencies between 3.08 and 3.8 GHz. Maximum gain and radiation efficiency are shown to be 4.85 dB and 90%, respectively, in the operational band using the proposed DRA. As a result, the proposed antenna may be appropriate for use in 5G NR band systems. © 2021 Elsevier Ltd

关键词： Radiation efficiency

来源：评论

学校读者我要写书评

暂无评论

RoadFormer: Duplex Transformer for RGB-Normal Semantic Road Scene Parsing

IEEE Transactions on Intelligent Vehicles

引用

IEEE Transactions on Intelligent Vehicles 2024年第7期9卷 1-10页

作者： Li, Jiahang Zhan, Yikang Yun, Peng Zhou, Guangliang Chen, Qijun Fan, Rui College of Electronic and Information Engineering Tongji University Shanghai China Department of Computer Science and Engineering The Hong Kong University of Science and Technology Hong Kong

The recent advancements in deep convolutional neural networks have shown significant promise in the domain of road scene parsing. Nevertheless, the existing works focus primarily on freespace detection, with little attention given to hazardous road defects that could compromise both driving safety and comfort. In this article, we introduce RoadFormer, a novel Transformer-based data-fusion network developed for road scene parsing. RoadFormer utilizes a duplex encoder architecture to extract heterogeneous features from both RGB images and surface normal information. The encoded features are subsequently fed into a novel heterogeneous feature synergy block for effective feature fusion and recalibration. The pixel decoder then learns multi-scale long-range dependencies from the fused and recalibrated heterogeneous features, which are subsequently processed by a Transformer decoder to produce the final semantic prediction. Additionally, we release SYN-UDTIRI, the first large-scale road scene parsing dataset that contains over 10,407 RGB images, dense depth images, and the corresponding pixel-level annotations for both freespace and road defects of different shapes and sizes. Extensive experimental evaluations conducted on our SYN-UDTIRI dataset, as well as on three public datasets, including KITTI road, CityScapes, and ORFD, demonstrate that RoadFormer outperforms all other state-of-the-art networks for road scene parsing. Specifically, RoadFormer ranks first on the KITTI road benchmark. Our source code, created dataset, and demo video are publicly available at ***/RoadFormer. IEEE

关键词： Semantics

来源：评论

学校读者我要写书评

暂无评论

Deep ensemble model for skin cancer classification with improved feature set

引用

Multimedia Tools and Applications 2025年第10期84卷 7599-7626页

作者： Burada, Sreedhar Manjunathswamy, B.E. Kumar, M. Sunil Department of Computer Science and Engineering Don Bosco Institute of Technology Karnataka Bengaluru560074 India Department of Computer Science and Engineering School of Computing Mohan Babu University Sree Vidyanikethan Engineering College Andhra Pradesh Tirupati517102 India

Early identification of skin cancer is mandatory to minimize the worldwide death rate as this disease is covering more than 30% of mortality rates in young and adults. Researchers are in the move of proposing advanced models for the accurate classification of skin disease. This paper introduces a novel skin cancer detection model under the stages of preprocessing, feature extraction, classification as well as segmentation. The given input is first preprocessed via Gaussian filtering. Subsequently, the Deep learning model termed as ‘U-net’ is used for the segmentation process. Afterward, the extraction of the feature set including features like Improved Center symmetric Local Binary Pattern (ICS-LBP), Local Gradient Pattern (LGP), Median binary pattern (MBP) is performed. Classification takes place using Deep Ensemble Model based on the extracted features, that includes BiGRU, Deep Maxout, and Improved Deep Convolutional Neural Network (CNN), respectively. Also, as the hyperparameter tuning of the classification model enhances the performance, this work introduces a new Hybrid Atom and Arithmetic Operation Algorithm (HAAOA) algorithm for tuning the optimal weights of the Bi-GRU (Bi-directional Gated Recurrent Unit) and Deep Maxout model. At last, the validation of the proposed work is performed through different performance measures by comparing it with different algorithms. Accordingly, accuracy of the adopted method at 90th learning percentage is 93.56%, which is (~) 82.63%, 85.15%, 84.98%, 83.66% and 83.42% better than AOA, ASO, BWO, BMO and DO, respectively. © The Author(s), under exclusive licence to Springer science+Business Media, LLC, part of Springer Nature 2024.

关键词： Feature extraction

来源：评论

学校读者我要写书评

暂无评论

Hybrid Approach for Privacy Enhancement in Data Mining Using Arbitrariness and Perturbation

引用

computer Systems science & engineering 2023年第3期44卷 2293-2307页

作者： B.Murugeshwari S.Rajalakshmi K.Sudharson Department of Computer Science and Engineering Velammal Engineering CollegeChennai600066India Department of Information Technology Velammal Institute of TechnologyChennai601204India

Imagine numerous clients,each with personal data;individual inputs are severely corrupt,and a server only concerns the collective,statistically essential facets of this *** several data mining methods,privacy has become highly *** a result,various privacy-preserving data analysis technologies have ***,we use the randomization process to reconstruct composite data attributes ***,we use privacy measures to estimate how much deception is required to guarantee *** are several viable privacy protections;however,determining which one is the best is still a work in *** paper discusses the difficulty of measuring privacy while also offering numerous random sampling procedures and statistical and categorized data ***-more,this paper investigates the use of arbitrary nature with perturbations in privacy *** to the research,arbitrary objects(most notably random matrices)have"predicted"frequency *** shows how to recover crucial information from a sample damaged by a random number using an arbi-trary lattice spectral selection *** system's conceptual frame-work posits,and extensive practicalfindings indicate that sparse data distortions preserve relatively modest privacy protection in various *** a result,the research framework is efficient and effective in maintaining data privacy and security.

关键词： Data mining data privacy arbitrariness data security perturbation

来源：评论

学校读者我要写书评

暂无评论

From Past to Present: A Comprehensive Review of Antenna technology in Modern Wireless Communication

引用

Journal of engineering science and technology Review 2024年第3期17卷 179-200页

作者： Mishra, Brijesh Singh, Aditya Kumar Satheesha, T.Y. Verma, Ramesh Kumar Singh, Vivek Department of Electronics and Communication Engineering School of Engineering and Technology CMR University Karnataka Bengaluru India Department of Electronics and Communication Engineering Noida Institute of Engineering and Technology U.P. Greater Noida India School of Computer Science Engineering REVA University Karnataka Bengaluru India Department of Computer Science and Engineering IMS Engineering College Uttar Pradesh Ghaziabad India Department of Electronics and Communication Engineering Nagarjuna College of Engineering and Technology Karnataka Bengaluru India

This research looks at microwave devices, specifically, patch antenna along with electromagnetic spectrum, shape, mechanism, analytical methods, simulation tools, and feeding procedures. Patch antennas are distinguished by their rectangular form, with a patch on one side and a ground plane on the other. Patch antennas work by exciting electromagnetic waves inside the patch, which are subsequently transmitted into the surrounding environment. The report also outlines numerous ways for evaluating the performance of microstrip patch antennas. The electromagnetic characteristics of the antenna are analyzed using the transmission line model, cavity model, and multiport network model (MNM). The integral equations that regulate the behavior of the antenna are solved using the method of moments (MoM) and the finite element method (FEM). The spectral domain technique (SDT) is used to analyze the antenna’s frequency response, while the finite difference time domain (FDTD) approach is used to analyze the antenna’s time-domain behavior. Overall, these methodologies give a thorough understanding of microstrip patch antenna performance and may be utilized to optimize their design. Furthermore, several patch antenna feeding methods, such as probe feed, microstrip line feeding, aperture coupling, proximity coupling, and CPW feed, are investigated. Attaching a microstrip line to the patch, which is subsequently linked to the RF source, is what microstrip line feeding entails. Aperture coupling entails making a hole in the ground plane that allows the RF source to feed the patch directly. Proximity coupling is accomplished by placing a probe near the patch, which creates an electromagnetic field on the patch. Patch antenna simulation software includes programmers such as HFSS, CST, and FEKO. These tools simulate the patch antenna’s performance, including its radiation pattern, gain, and input impedance. These simulations may be used to optimize the patch antenna design for specific a

关键词： Microstrip antennas

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：