检索结果-南通市图书馆

An EFSM-Based Test Data Generation Approach in Model-Based Testing

Computers, Materials & Continua 2022年第6期71卷 4337-4354页

作者： Muhammad Luqman mohd-Shafie Wan mohd Nasir Wan Kadir Muhammad Khatibsyarbini mohd adham isa Israr Ghani Husni Ruslai Department of Software Engineering School of ComputingFaculty of EngineeringUniversiti Teknologi Malaysia81310Johor BahruJohorMalaysia GATES IT Solution Sdn Bhd WISMA GATESJalan Perdana 4Taman Sri Pulai Perdana 281300SkudaiJohorMalaysia

Testing is an integral part of software *** fastpaced system developments have rendered traditional testing techniques ***,automated testing techniques are needed to adapt to such system developments ***-based testing(MBT)is a technique that uses system models to generate and execute test cases *** was identified that the test data generation(TDG)in many existing model-based test case generation(MB-TCG)approaches were still *** automatic and effective TDG can further reduce testing cost while detecting more *** study proposes an automated TDG approach in MB-TCG using the extended finite state machine model(EFSM).The proposed approach integrates MBT with combinatorial *** information available in an EFSM model and the boundary value analysis strategy are used to automate the domain input classifications which were done manually by the existing *** results showed that the proposed approach was able to detect 6.62 percent more faults than the conventionalMB-TCG but at the same time generated 43 more *** proposed approach effectively detects faults,but a further treatment to the generated tests such as test case prioritization should be done to increase the effectiveness and efficiency of testing.

关键词： Model-based testing test case generation test data generation combinatorial testing extended finite state machine

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Integrated Evolving Spiking Neural Network and Feature Extraction Methods for Scoliosis Classification

引用

Computers, Materials & Continua 2022年第12期73卷 5559-5573页

作者： Nurbaity Sabri Haza Nuzly Abdull Hamed Zaidah Ibrahim Kamalnizat Ibrahim mohd adham isa Faculty of Engineering Universiti Teknologi MalaysiaSchool of ComputingSkudai81310JohorMalaysia Faculty of Computer and Mathematical Sciences Universiti Teknologi MARA Cawangan Melaka Kampus JasinMerlimau77300MelakaMalaysia Faculty of Computer and Mathematical Sciences University Teknologi MARAShah Alam40450SelangorMalaysia Fakulti Perubatan&Kesihatan Pertahanan Universiti Pertahanan Nasional Malaysia(UPNM)Sungai Besi57000Kuala LumpurMalaysia

Adolescent Idiopathic Scoliosis(AIS)is a deformity of the spine that affects *** current method for detecting AIS is based on radiographic images which may increase the risk of cancer growth due to *** is another alternative used to identify AIS by distinguishing the curves of the spine from the surface of a human’s ***,detecting the curve of the spine is manually performed,making it a time-consuming *** overcome this issue,it is crucial to develop a better model that automatically detects the curve of the spine and classify the types of *** research proposes a new integration of ESNN and Feature Extraction(FE)methods and explores the architecture of ESNN for the AIS classification *** research identifies the optimal Feature Extraction(FE)methods to reduce computational *** ability of ESNN to provide a fast result with a simplicity and performance capability makes this model suitable to be implemented in a clinical setting where a quick result is crucial.A comparison between the conventional classifier(Support Vector Machine(SVM),Multi-layer Perceptron(MLP)and Random Forest(RF))with the proposed AIS model also be performed on a dataset collected by an orthopedic expert from Hospital Universiti Kebangsaan Malaysia(HUKM).This dataset consists of various photogrammetry images of the human back with different types ofMalaysian AIS patients to solve the scoliosis *** process begins by pre-processing the images which includes resizing and converting the captured pictures to gray-scale *** is then followed by feature extraction,normalization,and *** experimental results indicate that the integration of LBP and ESNN achieves higher accuracy compared to the performance of multiple baseline state-of-the-art Machine Learning for AIS *** demonstrates the capability of ESNN in classifying the types of AIS based on photogrammetry images.

关键词： Adolescent idiopathic scoliosis evolving spiking neural network lenke type local binary pattern photogrammetry

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Laboratory Evaluation of Fiber-Modified Asphalt Mixtures Incorporating Steel Slag Aggregates

引用

Computers, Materials & Continua 2022年第3期70卷 5967-5990页

作者： adham Mohammed Alnadish Mohamad Yusri Aman Herda Yati Binti Katman mohd Rasdan Ibrahim Department of Civil Engineering and Built Environment Universiti Tun Hussein Onn MalaysiaParit Raja86400Malaysia Department of Civil Engineering Universiti Tenaga NasionalKajang43000Malaysia Department of Civil Engineering Universiti MalayaKuala Lumpur50603Malaysia

Vigorous and continued efforts by researchers and engineers have contributed towards maintaining environmental sustainability through the utilization of waste materials in civil engineering applications as an alternative to natural *** this study,granite aggregates in asphaltic mixes were replaced by electric arc furnace(EAF)steel slag aggregates with different proportions to identify the best combination in terms of superior *** mixtures showing the best performance were further reinforced with polyvinyl alcohol(PVA),acrylic,and polyester fibers at the dosages of 0.05%,0.15%,and 0.3%by weight of the *** performance tests of this study were resilient modulus,moisture susceptibility,and indirect tensile fatigue cracking *** findings of this study revealed that the asphalt mixtures containing coarse steel slag aggregate exhibited the best performance in comparison with the other ***,the reinforced asphalt mixtures with synthetic fibers at the content of 0.05%exhibited an almost comparable performance to the unreinforced asphalt *** the asphalt mixtures with PVA,acrylic,and polyester fibers at the proportion of 0.15%have improved the fatigue cracking resistance by 41.13%,29.87%,and 18.97%,***,the fiber-modified asphalt mixtures with PVA,acrylic,and polyester have enhanced the fatigue cracking resistance by about 57%,44%,and 39%,*** results of the resilient modulus demonstrated that as the fiber content increase,the resilient modulus of the reinforced asphalt mixtures ***,introducing synthetic fibers at the content of 0.3%has slightly decreased the resilient modulus in comparison with unreinforced *** the other hand,the results of the mechanisticempirical pavement design showed that the reinforced asphalt mixes with a high content of synthetic fibers have shown lower service life than the control mixes due to the low resilient *** the contra

关键词： Steel slag aggregate polyvinyl alcohol fiber acrylic fiber polyester fiber cracking resistance resilient modulus

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

欢迎您,

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

在线全文

在线全文

在线全文

请选择保存的检索档案：

请选择收藏分类：

通借通还

欢迎您,

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

在线全文

在线全文

在线全文

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：