建筑类地方工科院校机制专业培养目标与模式研究

文章分析了建筑类地方工科院校机械设计制造及其自动化专业的发展现状,深入探讨了该专业面向市场、立足应用、突出特色的培养目标,并从办学理念、培养方案、课程体系、实践教学等方面提出了达到办学目标、体现办学特色的有效途径。     

结合地域特色的休闲式商业综合体设计浅谈——以厦门阿罗海城市广场为例

该项目在设计上结合厦门骑楼等闽南地域性建筑风格,融合地块周边的独特的自然湖景,突破传统商业中心封闭的设计方法,采用开放式的建筑布局,强调内部商业空间与外部内湖景观的互动,将环境、市民休闲、商业流线、开放式街区等紧密结合,创造出轻松的休闲购物环境。     

灌注桩后注浆在伊泽矿业圆形储煤场项目中的应用

灌注桩后注浆工法可以提高单桩承载力特征值,工程师们在大部分工程实践中将承载力提高幅度控制在30%~60%。论文作者在伊泽矿业圆形储煤场项目中通过后注浆工法将单桩承载力提高100%,取得较好的经济效益。     

论建设工程缺陷责任期

缺陷责任期由起始时间和持续时间决定,其长度由合同双方约定,最长不超过24个月。它具有法定特征、自然特征、约定特征等特征。缺陷责任期设置的目的之一,就是缺陷责任期届满应当结清质量保证金,故缺陷责任期与质量保证金密切相关。     

安顺市云山屯防御性军屯到商业性商屯的转变

以贵州屯堡民居古村落典型代表之一云山屯为例,通过对其最初的聚落形态以及至今商业性形态转变进行探讨,意从中探求云山屯村落独特形态形成的原因,同时提高人们对云山屯甚至屯堡文化的认知,对传承传统屯堡聚落文化具有一定意义。     

北京市民用建筑节能立法解读

《北京市民用建筑节能管理办法》于2014年8月1日起正式实施。从该新法的立法基础、背景和形势等角度分析,节能新法基础坚实、顺应形势;从新法提出的相关内容条款分析,新法对北京市当前建筑节能工作中面临的各类突出问题或缺少法规依据的问题逐一明确,新法具有非常重要的意义。     

缙云壶镇盆地沸石矿床地质特征及找矿标志

从矿区地层、矿区构造、矿区岩浆岩、矿体特征、矿石特征等方面介绍了浙江省缙云县壶镇盆地的沸石矿区矿床地质特征,并总结了找矿标志,为该地沸石矿床的特征及进一步的应用研究奠定了基础。     

FIDIC条款的文体特征

FIDIC即“Conditions of Contract For Works of Civil Engineering Construction”(国际土木工程施工合同条款),是编制招标文件、投标以及合同管理的必不可少的部分,是土木工程的“Bible”(圣经)。本文较全面深入地分析总结了FIDIC条款在词法、句法及篇章结构三个方面的文体特征,以期对这类合同的理解、商定以及教学等有所帮助。     

完善消防中介立法初探

对消防行业协会、检测认证机构，特别是从事有偿消防技术服务活动的消防中介机构，在其发展中遭遇的政府职能越位、政策法规配套缺位、市场机制培育滞后、专业人才缺乏等问题进行了讨论，并对我国加入WTO以及行政许可法实施后，消防中介立法的迫切性进行分析，从目的、指导思想和形式等方面对完善消防中介立法提出可行方案。     

An improved strategy for skin lesion detection and classification using uniform segmentation and feature selection based approach

Melanoma is the deadliest type of skin cancer with highest mortality rate. However, the annihilation in early stage implies a high survival rate therefore, it demands early diagnosis. The accustomed diagnosis methods are costly and cumbersome due to the involvement of experienced experts as well as the requirements for highly equipped environment. The recent advancements in computerized solutions for these diagnoses are highly promising with improved accuracy and efficiency. In this article, we proposed a method for the classification of melanoma and benign skin lesions. Our approach integrates preprocessing, lesion segmentation, features extraction, features selection, and classification. Preprocessing is executed in the context of hair removal by DullRazor, whereas lesion texture and color information are utilized to enhance the lesion contrast. In lesion segmentation, a hybrid technique has been implemented and results are fused using additive law of probability. Serial based method is applied subsequently that extracts and fuses the traits such as color, texture, and HOG (shape). The fused features are selected afterwards by implementing a novel Boltzman Entropy method. Finally, the selected features are classified by Support Vector Machine. The proposed method is evaluated on publically available data set PH2. Our approach has provided promising results of sensitivity 97.7%, specificity 96.7%, accuracy 97.5%, and F‐score 97.5%, which are significantly better than the results of existing methods available on the same data set. The proposed method detects and classifies melanoma significantly good as compared to existing methods.