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Software structure evaluation based on the interaction and encapsulation of methods

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science china(Information sciences) 2012年第12期55卷 2816-2825页

作者： zheng QingHua 1,2.OU ZhiJiang 1,2.LIU Ting 1,YANG ZiJiang 3.HOU YuQiao 1,2.& zheng Chao 1,{2. MOE Key Laboratory for Intelligent Networks and Network Security,Xi'an Jiaotong university,Xian 710049,china 2.Shaanxi Key Laboratory of Satellite-terrestrial Network Technology R&D,Xi'an Jiaotong university,Xian 710049,china 3.department of computer {13.,Western Michigan university,Michigan,USA 1. MOE Key Laboratory for Intelligent Networks and Network Security Xi’an Jiaotong University Xian 710049 China2. Shaanxi Key Laboratory of Satellite-terrestrial Network Technology R&D Xi’an Jiaotong University Xian 710049 China3. Department of Computer Science Western Michigan University Michigan USA

Software structure is the most important factor affecting the quality of a *** evaluation of software structure is a foundational technique for software ***,the traditional evaluation criteria,such as "high cohesion and low coupling",are no longer appropriate for the new web applications,which are designed with a hierarchical framework.A novel approach is proposed in this paper to evaluate software quality based on the interaction and encapsulation of *** particular,two criteria for high quality software,the functional and hierarchical structure,are proposed to support widely used web *** cohesion and coupling and layer matching ratios between methods within a software package are calculated to determine whether the package is well implemented in terms of functional or hierarchical *** approach enables us to quantify the quality of a software system according to the structural types of its *** were carried out on 18 versions of Struts and six open-source software *** evaluation concurs with the intuition that minor upgrades,aimed at fixing bugs and adding minor functionality quickly,reduce software quality,whereas major upgrades,which normally clean up messy code and re-construct the software,improve software quality.

关键词： software structure evaluation method interaction method encapsulation functional structure hierarchical structure

Assigning Task by Parallel Genetic Algorithm Based on PVM

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Wuhan university Journal of Natural sciences 2001年第Z1期6卷 579-584页

作者： zheng Zhi jun, Dong Xiao she, zheng Shou qi {2. of {3. science and Technology,Xi’an Jiaotong university,Xi’an 710049,china department of computer {2. and Technology Xi'an Jiaotong University Xi'an 710049 China

Genetic algorithm has been proposed to solve the problem of task assignment. However, it has some drawbacks, e.g., it often takes a long time to find an optimal solution, and the success rate is low. To overcome these problems, a new coarse grained parallel genetic algorithm with the scheme of central migration is presented, which exploits isolated sub populations. The new approach has been implemented in the PVM environment and has been evaluated on a workstation network for solving the task assignment problem. The results show that it not only significantly improves the result quality but also increases the speed for getting best solution.

关键词： task assignment genetic algorithm parallel process PVM

Modelling Immune System:Principles,Models,Analysis and Perspectives

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Journal of Bionic Engineering 2009年第1期6卷 77-85页

作者： Xiang-hua Li~1, zheng-xuan Wang~1, Tian-yang Lu~2. Xiang-jiu Che~11. College of computer {2. and Technology, Jilin university, Changchun 13.012. P. R. china2. College of computer {2. and Technology, Harbin Engineering university, Harbin 150001, P. R. china [a]College of computer science and Technology Jilin University Changchun 130012 P. R. China [b]College of Computer Science and Technology Harbin Engineering University Harbin 150001 P. R. China

The biological immune system is a complex adaptive *** are lots of benefits for building the model of the immune *** biological researchers,they can test some hypotheses about the infection process or simulate the responses of some *** computer researchers,they can build distributed,robust and fault tolerant networks inspired by the functions of the immune *** paper provides a comprehensive survey of the literatures on modelling the immune *** the methodology perspective,the paper compares and analyzes the existing approaches and models,and also demonstrates the focusing research effort on the future immune models in the next few years.

关键词： immune system modelling agent-based simulation complex adaptive system (CAS) HIV

Representation and Adaptive Transformation of Reusable Software Components

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Wuhan university Journal of Natural sciences 2001年第Z1期6卷 298-303页

作者： Xu zheng quan, Palakiyem Wallah College of computer {2. and Technology,Huazhong {3. of {2. and Technology, Wuhan 43.074, china College of computer science and Technology Huazhong University of Science and Technology Wuhan 430074 China

The key ingredient for promoting software reuse in a repository base integrated development environment, is to provide support for the software developer who wants to search the repository to locate and retrieve suitable software components for reuse. This paper presents that reusable software components form a base to provide a flexible representation of component adaptability to any repository with a specific classification. As an alternative, it proposes to automatically identify and convert the component source code with all its information into a standard form, so that components can be transferred from one type of library to another.

关键词： reusable software component classification representation adaptability transfer

A multimodal integration pipeline for accurate diagnosis, pathogen identification, and prognosis prediction of pulmonary infections

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The Innovation 2024年第4期5卷 63-73,62页

作者： Jun Shao Jiechao Ma Yizhou Yu Shu Zhang Wenyang Wang weimin Li Chengdi Wang department of Pulmonary and Critical Care Medicine State Key Laboratory of Respiratory Health and MultimorbidityWest China HospitalWest China School of MedicineSichuan UniversityChengdu 610041China Targeted Tracer Research and Development Laboratory Institute of Respiratory HealthFrontiers Science Center for Disease-related Molecular NetworkWest China HospitalSichuan UniversityChengdu 610213China Frontiers Medical Center Tianfu Jincheng LaboratoryChengdu 610213China AI Lab Deepwise HealthcareBeijing 100080China department of computer {2. The University of Hong KongHong Kong SARChina

Pulmonary infections pose formidable challenges in clinical settings with high mortality rates across all age groups *** diagnosis and early intervention are crucial to improve patient *** intelligence(AI)has the capability to mine imaging features specific to different pathogens and fuse multimodal features to reach a synergistic diagnosis,enabling more precise investigation and individualized clinical *** this study,we successfully developed a multimodal integration(MMI)pipeline to differentiate among bacterial,fungal,and viral pneumonia and pulmonary tuberculosis based on a real-world dataset of 2.,107 *** area under the curve(AUC)of the MMI system comprising clinical text and computed tomography(CT)image scans yielded 0.910(95%confidence interval[CI]:0.904–0.916)and 0.887(95%CI:0.867–0.909)in the internal and external testing datasets respectively,which were comparable to those of experienced ***,the MMI system was utilized to rapidly differentiate between viral subtypes with a mean AUC of 0.82.(95%CI:0.805–0.83.)and bacterial subtypes with a mean AUC of 0.803.95%CI:0.775–0.83.).Here,the MMI system harbors the potential to guide tailored medication recommendations,thus mitigating the risk of antibiotic ***,the integration of multimodal factors in the AI-driven system also provided an evident advantage in predicting risks of developing critical illness,contributing to more informed clinical *** revolutionize medical care,embracing multimodal AI tools in pulmonary infections will pave the way to further facilitate early intervention and precise management in the foreseeable future.

关键词： diagnosis modal integration

Measurement Technology for Engine Assembly

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武汉理工大学学报 2006年第S3期28卷 978-982页

作者： GAO Li~1 zheng Zeyu~2.DAI Shangping~1 (1.department of {2. science,Central china Normal university,Wuhan 43.079,china 2.School of {2. science and Technology,Huazhong university of science and Technology,Wuhan 43.074,china) department of computer {2. Central China Normal UniversityWuhan 430079China School of computer science and Technology Huazhong University of Science and TechnologyWuhan 430074China

In many industrial,it is often necessary to analyze the engine *** paper introduces three kinds of new technologies on the assembly line of engine in recent years,it have played the positive role in improving the qual... 详细信息

关键词： quality control measured engine assembly

A Graded Speed Control Method for Cyborg Rats Based on Electrical Stimulation of the Cuneiform Nucleus

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Journal of Bionic Engineering 2024年第3期21卷 1334-1346页

作者： Hanyi Ling Le Han Nenggan zheng Qiushi Academy for Advanced Studies(QAAS) Zhejiang UniversityHangzhou310007China The State Key Lab of Brain-Machine Intelligence Zhejiang UniversityHangzhou310007China College of Biomedical Engineering&Instrument science Zhejiang UniversityHangzhou310007China College of computer science and Technology Zhejiang UniversityHangzhou310007China CCAI by MOE and Zhejiang Provincial Government(ZJU) Hangzhou310007China

The precise movement speed regulation is a key factor to improve the control effect and efficiency of the cyborg ***,the current stimulation techniques cannot realize the graded control of the *** this study,we achieved the multi-level speed regulation of cyborg rats in the large open field and treadmill by specifically targeting the Cuneiform Nucleus(CnF)of the Mesencephalic Locomotor Region(MLR).Detailed,we measured the influence of each stimulation parameter on the speed control process which included the real-time speed,accelerated speed,response time,and acceleration *** concluded that the pulse period and the pulse width were the main determinants influencing the accelerated speed of cyborg *** the amplitude of stimulation was found to affect the response time exhibited by the cyborg *** study provides valuable insights into the regulation of rat locomotion speed and highlights the potential for utilizing this approach in various experimental settings.

关键词： Cyborg rats Cuneiform nucleus Graded control Speed regulation

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凹槽结构强化液滴合并弹跳的数值研究

表面技术 2024年第2期53卷 193-200页

作者：吴卫民郑佳宜王芳南京理工大学能源与动力工程学院电子设备热控制工信部重点实验室南京210094

目的为研究凹槽结构对液滴合并弹跳现象的影响,提高液滴自弹跳的速度和能量转化率。方法通过有限元方法模拟,研究了液滴在凹槽结构上的动态行为和槽深H、槽宽W及液滴尺寸对V型槽和矩形槽上液滴的弹跳速度、无量纲速度、表面能转化率... 详细信息

目的为研究凹槽结构对液滴合并弹跳现象的影响,提高液滴自弹跳的速度和能量转化率。方法通过有限元方法模拟,研究了液滴在凹槽结构上的动态行为和槽深H、槽宽W及液滴尺寸对V型槽和矩形槽上液滴的弹跳速度、无量纲速度、表面能转化率、动量和总动能的影响。结果凹槽内与槽外液滴间的合并弹跳包含液滴接触、产生液桥、三相线收缩和液滴弹离表面4个过程;宽高比相同时,液滴弹跳速度和表面能转化率均随液滴半径先增大后减小,凹槽宽高比为1.5,液滴合并弹跳半径为0.2. mm工况下表面能转化效率最高;矩形槽与V型槽,宽高比为1.5,液滴合并弹跳半径为0.2. mm时,液滴弹跳速度与表面能转化率随半径比先增大后减小,在半径比为1时达到峰值,二者表面能转化率最大值为2..87%和3..66%。槽宽恒定时,凹槽结构强化液滴合并弹跳存在最佳凹槽宽高比和最优弹跳半径,V型槽提升液滴弹跳效率比矩形槽高约12.。结论合并后液滴撞击V型槽侧壁的反作用力使液滴旁瓣较矩形槽更早受到侧壁面抑制而发生回流,从而提升了其能量转化效率,减少了液滴的振荡损失与黏性耗散。研究结果在设计高效的自清洁功能表面、提高冷凝表面换热效率、预防和抑制换热器表面结冰、成霜等工业领域有重要的应用意义。

关键词：凹槽结构超疏水表面液滴合并液滴弹跳强化有限元方法模拟

Bayesian Optimized LightGBM model for predicting the fundamental vibrational period of masonry infilled RC frames

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Frontiers of Structural and Civil Engineering 2024年第7期18卷 1084-1102页

作者： Taimur RAHMAN Pengfei zheng Shamima SULTANA department of Civil Engineering World University of BangladeshDhaka 1230Bangladesh School of Civil Engineering Zhengzhou UniversityZhengzhou 450001China department of computer {2.&Engineering University of Asia PacificDhaka 1205Bangladesh

The precise prediction of the fundamental vibrational period for reinforced concrete(RC)buildings with infilled walls is essential for structural design,especially earthquake-resistant *** learning models from previous studies,while boasting commendable accuracy in predicting the fundamental period,exhibit vulnerabilities due to lengthy training times and inherent dependence on pre-trained models,especially when engaging with continually evolving data *** predicament emphasizes the necessity for a model that adeptly balances predictive accuracy with robust adaptability and swift data *** latter should include consistent re-training ability as demanded by realtime,continuously updated data *** research implements an optimized Light Gradient Boosting Machine(LightGBM)model,highlighting its augmented predictive capabilities,realized through the astute use of Bayesian Optimization for hyperparameter tuning on the FP402. research data set,and illuminating its adaptability and efficiency in predictive *** results show that the R^(2. score of LightGBM model is 0.9995 and RMSE is 0.0178,while training speed is 2..2.times faster than that offered by XGBoost and 45.5 times faster than for Gradient ***,this study introduces a practical application through a streamlit-powered,web-based dashboard,enabling engineers to effortlessly utilize and augment the model,contributing data and ensuring precise fundamental period predictions,effectively bridging scholarly research and practical applications.

关键词： masonry-infilled RC frame fundamental period LightGBM FP402. research dataset machine learning data-driven approach Bayesian Optimization