A Novel Handcrafted with Deep Features Based Brain Tumor Diagnosis Model

In healthcare sector,image classification is one of the crucial problems that impact the quality output from image processing domain.The purpose of image classification is to categorize different healthcare images under various class labels which in turn helps in the detection and management of diseases.Magnetic Resonance Imaging(MRI)is one of the effective non-invasive strate-gies that generate a huge and distinct number of tissue contrasts in every imaging modality.This technique is commonly utilized by healthcare professionals for Brain Tumor(BT)diagnosis.With recent advancements in Machine Learning(ML)and Deep Learning(DL)models,it is possible to detect the tumor from images automatically,using a computer-aided design.The current study focuses on the design of automated Deep Learning-based BT Detection and Classification model using MRI images(DLBTDC-MRI).The proposed DLBTDC-MRI techni-que aims at detecting and classifying different stages of BT.The proposed DLBTDC-MRI technique involves medianfiltering technique to remove the noise and enhance the quality of MRI images.Besides,morphological operations-based image segmentation approach is also applied to determine the BT-affected regions in brain MRI image.Moreover,a fusion of handcrafted deep features using VGGNet is utilized to derive a valuable set of feature vectors.Finally,Artificial Fish Swarm Optimization(AFSO)with Artificial Neural Network(ANN)model is utilized as a classifier to decide the presence of BT.In order to assess the enhanced BT classification performance of the proposed model,a comprehensive set of simulations was performed on benchmark dataset and the results were vali-dated under several measures.

Erosion problem in tool steel using cold box core-making process

This paper presents the erosion results of the AISI H13 steel impinged by resin-bonded silica sand, using a testing rig that closely simulates the real blowing conditions during industrial core-making. Steel specimens were heat treated to obtain hardness of 294, 445 and 595 HV200 (29, 45 and 55 HRC). Erosion tests were carried out at impingement angles from 20° to 90° and air drag pressures of 1.38, 2.07 and 2.76 bar (20, 30 and 40 psi). The main results are summarized as follows:(i) The harder material, the lower erosion;(ii) the maximum erosion rate is at 30°;(iii) Little difference in erosion rate at impact angle of 60° and 90° for a constant pressure tested regardless of the hardness level;(iv) As the pressure increases, so does the erosion rate, being more sensitive for low impact angles. Finally, a differential form of the general erosion equation is applied on a practical core-making case to evaluate the erosion rate of the H13 steel at 30° and 90° impingement angles.

Modification of inorganic binder used for sand core-making in foundry practice

With modified water glass as binder and the introduction of micro silicon powders into the coremaking process,an improvement was made to the tensile strength and collapsibility of the sand core.The potassium hydroxide,sodium hexametaphosphate and white sugar were applied as the modifiers of water glass.The optimum proportion of the modifiers was determined through the combination of single factor test and orthogonal test.The optimum proportion of water glass,potassium hydroxide,sodium hexametaphosphate and white sugar is 1000:40:5:5(wt.).In terms of weight,modified binder and micro silicon powders accounted for 2%and 0.6%of sand,respectively.The sand core was hardened by going through a warm core box process,in which the temperature of core box was 150°C,and the compressed hot air was blown at 120°C for 40 s under a pressure of 0.2 MPa.As for the sand core bonded with modified water glass,the tensile strength is 2.46 MPa at room temperature(σ0)and 2.49 MPa at 25°C and 40%RH for 24 h(σ24),which are 2 times more than that with unmodified binder.The bonded strengths of sand core are increased as a result of the reaction between-OH groups from addition of potassium hydroxide and SiO2 particles widely distributed in the sand core.Comparing with the sand core bonded with unmodified water glass,the high temperature residual tensile strength(σr)of sand core bonded with modified water glass under 600°C for 5 min,is sharply reduced from 0.20 MPa to 0.01 MPa.By the comparison with unmodified water glass,the dynamic viscosity of the modified water glass and the flowability of molding sand using modified water glass are increased from 74 mPa·s and 2.15 g to 80 mPa·s and 2.21 g,respectively.As revealed by FT-IR analysis,new groups including PO3-,PO43-,and Si-O-C appear in the molecular structure of modified water glass,which are beneficial to the collapsibility of sand core.

Optimal Fusion-Based Handcrafted with Deep Features for Brain Cancer Classification

Brain cancer detection and classification is done utilizing distinct medical imaging modalities like computed tomography(CT),or magnetic resonance imaging(MRI).An automated brain cancer classification using computer aided diagnosis(CAD)models can be designed to assist radiologists.With the recent advancement in computer vision(CV)and deep learning(DL)models,it is possible to automatically detect the tumor from images using a computer-aided design.This study focuses on the design of automated Henry Gas Solubility Optimization with Fusion of Handcrafted and Deep Features(HGSO-FHDF)technique for brain cancer classification.The proposed HGSO-FHDF technique aims for detecting and classifying different stages of brain tumors.The proposed HGSO-FHDF technique involves Gabor filtering(GF)technique for removing the noise and enhancing the quality of MRI images.In addition,Tsallis entropy based image segmentation approach is applied to determine injured brain regions in the MRI image.Moreover,a fusion of handcrafted with deep features using Residual Network(ResNet)is utilized as feature extractors.Finally,HGSO algorithm with kernel extreme learning machine(KELM)model was utilized for identifying the presence of brain tumors.For examining the enhanced brain tumor classification performance,a comprehensive set of simulations take place on the BRATS 2015 dataset.

Ensemble of Handcrafted and Deep Learning Model for Histopathological Image Classification

Histopathology is the investigation of tissues to identify the symptom of abnormality.The histopathological procedure comprises gathering samples of cells/tissues,setting them on the microscopic slides,and staining them.The investigation of the histopathological image is a problematic and laborious process that necessitates the expert’s knowledge.At the same time,deep learning(DL)techniques are able to derive features,extract data,and learn advanced abstract data representation.With this view,this paper presents an ensemble of handcrafted with deep learning enabled histopathological image classification(EHCDL-HIC)model.The proposed EHCDLHIC technique initially performs Weiner filtering based noise removal technique.Once the images get smoothened,an ensemble of deep features and local binary pattern(LBP)features are extracted.For the classification process,the bidirectional gated recurrent unit(BGRU)model can be employed.At the final stage,the bacterial foraging optimization(BFO)algorithm is utilized for optimal hyperparameter tuning process which leads to improved classification performance,shows the novelty of the work.For validating the enhanced execution of the proposed EHCDL-HIC method,a set of simulations is performed.The experimentation outcomes highlighted the betterment of the EHCDL-HIC approach over the existing techniques with maximum accuracy of 94.78%.Therefore,the EHCDL-HIC model can be applied as an effective approach for histopathological image classification.

共生美学视角下壮锦元素融入手工皮具的创新设计

文章旨在探讨共生美学视角下壮锦元素与手工皮具设计的融合路径。通过文献梳理、案例分析以及设计实践,研究了如何将广西独特的壮锦元素巧妙地融入现代手工皮具设计之中,以实现创新设计。研究表明,共生美学理念的运用不仅能够有效提升现代手工皮具的文化底蕴,还能显著增强壮锦的知名度,促进对文化的尊重与传承,并激发设计思维的创新活力。

手工皮雕幼儿玩教具的开发与应用

文章探讨了手工皮雕幼儿玩教具的开发与应用,强调了其在幼儿园教学中的意义与价值。手工皮雕作为一种富有艺术内涵和手工乐趣的形式,对幼儿教育具有很高的应用价值。教师应积极创设良好的教学环境,并提高自身专业素养,以更好地开发与应用手工皮雕玩教具,促进我国非物质文化遗产的传承和发扬。手工皮雕幼儿玩教具可提升家庭教育质量,增强亲子互动,为传承我国非物质文化遗产奠定基础。

茶卡风——茶卡盐湖观光火车站

茶卡风观光火车站设计概念源于茶卡盐湖景区独具特色的游客打卡红丝巾形象,车站整体以温暖的红色为主色调,搭配橙色与黄色。建筑主体由钢结构、膜结构和悬挂织物构成,借助数字化技术进行设计和建造,并将钢结构工业化预制装配与织物手工艺处理相结合。该火车站是融合技术与艺术的建筑作品,可为人们提供亲近自然的独特体验。

超高效液相色谱法同时测定现制奶茶中苯甲酸、山梨酸、糖精钠

目的:建立超高效液相色谱-二极管阵列检测器法同时快速测定现制奶茶中苯甲酸、山梨酸、糖精钠的含量。方法:样品经水浴超声提取,蛋白沉淀剂沉淀蛋白,采用Quasar SPP C_(18)(100 mm×2.1 mm,2.6μm)色谱柱,流动相为甲醇-乙酸铵溶液(5+95),等度洗脱,外标法定量。结果:3种组分在2 min内全部出峰,且3种组分标准曲线的相关系数r>0.9999;检出限均为0.005 g·kg^(-1);定量限均为0.01 g·kg^(-1);样品在0.01 g·kg^(-1)、0.05 g·kg^(-1)、0.10 g·kg^(-1)这3个加标水平下的平均回收率为90.2%~104.0%,测定结果的相对标准偏差为0.18%~3.50%(n=6)。结论:超高效液相色谱-二极管阵列检测器法操作简便,耗时短,灵敏度好,准确度高,适用于同时快速测定现制奶茶中苯甲酸、山梨酸、糖精钠的含量。

扎染技法在皮革手工制品中的实践与应用

文章探讨了扎染技法在皮革手工制品中的应用,分析了其美学和艺术价值,并介绍了扎染技法的基本概念、皮革手工扎染方法和后期处理。文章认为,通过引入先进的信息技术,可以提高手工皮革制品制作的整体质量和效率,推动扎染技法向一体化方向不断发展。手工皮革制品行业可以学习扎染技艺,将艺术元素融入产品设计,提升其美学价值和文化内涵,推动手工皮革制品的多样化发展。

体验经济视角下南昌文旅产品的创新路径——以手工皮具为例

基于对南昌文化及其广泛影响力的分析,以手工皮具作为文化载体,从体验经济的独特视角出发,深入探究了文化旅游产品发展的新路径。旨在全面挖掘旅游消费者的真实需求,进而构建手工皮具个性化设计方案,使旅游消费者在亲身参与手工皮具制作的过程中,能够深刻感受并理解南昌文化的丰富内涵。

壮锦元素在手工皮具设计中的应用研究

壮锦是中国四大名锦之一,其图案生动、结构严谨且具有丰富文化意蕴。文章对壮锦元素纹样、色彩、文化意蕴等艺术特征进行研究,对壮锦在手工皮具设计中的应用价值展开分析,提出壮锦元素在手工皮具设计中的应用策略,即创新引用壮锦纹样元素、创新重构设计元素、选择适合的工艺技法。通过应用实践案例证明,壮锦元素在手工皮具设计中的应用能够提升手工皮具的文化价值及推动壮锦文化的活态传承。

Nano-Microplate Gold Clay for Handcraft Jewelry and Decoration

Gold clay is a crafting medium consisting of gold particles mixed with an organic binder and water for making jewelry or decoration.The clay can be shaped by hand,textured,carved,formed or using molds.After drying and burning,the organic binder and water were decomposed and the gold particles were transformed to its final metal state.Although,gold clay is very expensive,it is useful to decorate the silver clay designed jewelry or small sculptures.In this research,nano-microplate gold and specific organic binder was used for producing nano-microplate gold clay.The objectives of this research are to study binder's type and ratios for optimum producing gold clay,and to study the heating condition for making silver and gold clay jewelry.The result showed that the clay can be fired with heating temperature at 900°C for an hour by electric kiln.The physical properties of the gold clay at different heating temperatures were determined.Furthermore,prototype of jewelry using the clay was

文旅融合背景下中华传统手工艺文创产品的开发策略

在考察中华传统手工艺文创产品主要特征的基础上,从政策、市场和转型三个方面探讨文旅融合背景下中华传统手工艺文创产品的开发机遇,兼论其开发过程中存在的问题和需要遵循的原则。提出建议:植根传统文化沃土以开发民族文创产品;坚守生活器物本性以开发实用文创产品;运用先进科技手段以开发数字文创产品;注入现代潮流创意以开发时尚文创产品;注重用户情感体验以开发手作文创产品;强化品牌建设意识以开发地域文创产品。

16—17世纪北海和波罗的海地区贸易繁荣的原因

汉萨同盟为北海和波罗的海的贸易发展奠定了基础。近代以来,英国和荷兰手工工场的兴起和大力发展对外贸易是其占据经济制高点的主要原因,而中东欧二期农奴制的兴起,使得该地区的农业一直处于低水平,农业对工商业的基础性作用无法发挥,无法促进工商业的发展。英国和荷兰成为北海和波罗的海贸易区内的生产中心,中东欧成为英国和荷兰的粮食等必需品和工业原材料的供应地以及英荷工业产品的销售市场。

缠花文创产品开发的调查与分析

以消费者为调查对象,采用问卷调查法分析消费者对缠花文创产品的了解程度与喜爱偏好。得出结论:大部分消费者是喜欢缠花文创产品的,但目前还存在缠花文创产品知名度低、价格偏高、种类少、风格较为单一等问题。在数据分析与文献调查的基础上,总结目前缠花文创产品存在的不足,并针对这些问题提出建议。

传统染整工艺的现代创新和应用——以岭南传统手工艺香云纱为例

香云纱染整工艺是岭南传统手工艺的重要部分,质感独特,历史悠远。文章对香云纱染整工艺进行研究,在现代语境下创新推动传统染整工艺和手工艺文化的传承发展。通过对岭南传统纹样以及香云纱面料纹样进行学习,定位代表性纹样及色彩,最终重新整合创新,以文创作品呈现研究成果。

余荫山房建筑雕饰在皮雕技艺中的创新应用

研究余荫山房建筑雕饰元素,梳理其中典型的雕刻手法、图案题材、构成组合特点,结合流行元素,设计制作出适合产品定位的手工皮雕产品,探索手工皮雕技艺创新应用的策略。

中华传统服饰手工文化在高职院校“五育并举”中的实践研究

在高职院校“五育并举”中开展中华优秀传统手工文化教育,将具有现代手工艺品技巧的非物质文化遗产引进高职院校,使青少年认识、解读、继承、创新和推广我国现代手工艺品,树立当地现代手工艺品文化的创新传承和保护意识,增强民族文化自豪感,让青少年成为传承手工技艺的后备力量。这不仅对高校“五育并举”教育有促进作用,也对非物质文化遗产的创新发展和传承有积极意义,更是地区高校肩负的重要职责。基于此,文章对中华传统服饰手工文化在高职院校“五育并举”中的融入实践进行研究。