Day 1 Tue, September 21, 2021最新文献_第3页

Novel Routing Algorithm for Autonomous Vehicles in Smart Transportation System 智能交通系统中自动驾驶车辆路由算法研究

Day 1 Tue, September 21, 2021 Pub Date : 2021-10-11 DOI: 10.36548/jucct.2021.3.002

Haoxiang Wang

引用次数: 0

Computation of Constant Gain and NF Circles for 60 GHz Ultra-low noise Amplifiers 60 GHz超低噪声放大器恒增益和NF圆的计算

Day 1 Tue, September 21, 2021 Pub Date : 2021-10-11 DOI: 10.36548/jsws.2021.3.002

Christina Gnanamani, S. Pandiaraj

引用次数: 1

Identification of Covid’19 Vaccinator by Deep Learning Approach Using Contactless Palmprints 基于非接触式掌纹的深度学习方法识别Covid - 19疫苗接种者

Day 1 Tue, September 21, 2021 Pub Date : 2021-10-09 DOI: 10.36548/jei.2021.3.003

B. Vivekanandam

{"title":"Identification of Covid’19 Vaccinator by Deep Learning Approach Using Contactless Palmprints","authors":"B. Vivekanandam","doi":"10.36548/jei.2021.3.003","DOIUrl":"https://doi.org/10.36548/jei.2021.3.003","url":null,"abstract":"The invention of the first vaccine has also raised several anti-vaccination views among people. Vaccine reluctance may be exacerbated by the growing reliance on social media, which is considered as a source of health information. During this COVID'19 scenario, the verification of non-vaccinators via the use of biometric characteristics has received greater attention, especially in areas such as vaccination monitoring and other emergency medical services, among other things. The traditional digital camera utilizes the middle-resolution images for commercial applications in a regulated or contact-based environment with user participation, while the latter uses high-resolution latent palmprints. This research study attempts to utilize convolutional neural networks (CNN) for the first time to perform contactless recognition. To identify the COVID '19 vaccine using the CNN technique, this research work has used the contactless palmprint method. Further, this research study utilizes the PalmNet structure of convolutional neural network to resolve the issue. First, the ROI region of the palmprint was extracted from the input picture based on the geometric form of the print. After image registration, the ROI region is sent into a convolutional neural network as an input. The softmax activation function is then used to train the network so that it can choose the optimal learning rate and super parameters for the given learning scenario. The neural networks of the deep learning platform were then compared and summarized.","PeriodicalId":10896,"journal":{"name":"Day 1 Tue, September 21, 2021","volume":"14 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91476582","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Fault Diagnosis in Hybrid Renewable Energy Sources with Machine Learning Approach 基于机器学习方法的混合可再生能源故障诊断

Day 1 Tue, September 21, 2021 Pub Date : 2021-10-02 DOI: 10.36548/jtcsst.2021.3.005

Haoxiang Wang

引用次数: 11

Efficient Routing Algorithm using MLP and RBX in a Four Model Neural Networks 基于MLP和RBX的四模型神经网络高效路由算法

Day 1 Tue, September 21, 2021 Pub Date : 2021-10-02 DOI: 10.36548/jtcsst.2021.3.006

C. Anand

引用次数: 0

Design of an Intelligent Approach on Capsule Networks to Detect Forged Images 一种基于胶囊网络的伪造图像检测方法设计

Day 1 Tue, September 21, 2021 Pub Date : 2021-10-02 DOI: 10.36548/jtcsst.2021.3.004

J. Manoharan

{"title":"Design of an Intelligent Approach on Capsule Networks to Detect Forged Images","authors":"J. Manoharan","doi":"10.36548/jtcsst.2021.3.004","DOIUrl":"https://doi.org/10.36548/jtcsst.2021.3.004","url":null,"abstract":"Forgeries have recently become more prevalent in the society as a result of recent improvements in media generation technologies. In real-time, modern technology allows for the creation of a forged version of a single image obtained from a social network. Forgery detection algorithms have been created for a variety of areas; however they quickly become obsolete as new attack types exist. This paper presents a unique image forgery detection strategy based on deep learning algorithms. The proposed approach employs a convolutional neural network (CNN) to produce histogram representations from input RGB color images, which are then utilized to detect image forgeries. With the image separation method and copy-move detection applications in mind, the proposed CNN is combined with an intelligent approach and histogram mapping. It is used to detect fake or true images at the initial stage of our proposed work. Besides, it is specially designed for performing feature extraction in image layer separation with the help of CNN model. To capture both geographical and histogram information and the likelihood of presence at the same time, we use vectors in our dynamic capsule networks to detect the forgery kernels from reference images. The proposed research work integrates the intelligence with a feature engineering approach in an efficient manner. They are well-known and efficient in the identification of forged images. The performance metrics such as accuracy, recall, precision, and half total error rate (HTER) are computed and tabulated with the graph plot.","PeriodicalId":10896,"journal":{"name":"Day 1 Tue, September 21, 2021","volume":"94 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77393484","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Effects of phosphogypsum whiskers modification with calcium stearate and their impacts on properties of bleached softwood paper sheets 硬脂酸钙改性磷石膏晶须对漂白软木纸性能的影响

Day 1 Tue, September 21, 2021 Pub Date : 2021-10-01 DOI: 10.32964/tj20.9.567

Haitang Liu, Xin Jin, Lin Chen, Xiaochen Chang, Jie Li, Yongzhen An, Jing Liu, Chunxia Pang, Yujie Gao

{"title":"Effects of phosphogypsum whiskers modification with calcium stearate and their impacts on properties of bleached softwood paper sheets","authors":"Haitang Liu, Xin Jin, Lin Chen, Xiaochen Chang, Jie Li, Yongzhen An, Jing Liu, Chunxia Pang, Yujie Gao","doi":"10.32964/tj20.9.567","DOIUrl":"https://doi.org/10.32964/tj20.9.567","url":null,"abstract":"By combining the structural properties and characteristics of phosphogypsum whiskers, a preliminary study on the modification of phosphogypsum whiskers and their application in papermaking was carried out. The effects of reaction temperature, reaction time, and reaction concentration on the solubility and retention of modified phosphogypsum whiskers and the effects of phosphogypsum whiskers on the physical properties of paper under different modified conditions were explored. \u0000The research results show that, after the phosphogypsum whiskers are modified with calcium stearate, a coating layer will be formed on the surface of the whiskers, which effectively reduces the solubility of the phosphogypsum whiskers. The best modification conditions are: the amount of calcium stearate relative to the absolute dry mass of the phosphogypsum whisker is 2.00%; the modification time is 30 min, and the modification temperature is 60°C. The use of modified phosphogypsum whiskers for paper filling will slightly reduce the whiteness, folding resistance, burst resistance, and tensile strength of the paper, but the tearing degree and retention of the filler will be increased to some extent.","PeriodicalId":10896,"journal":{"name":"Day 1 Tue, September 21, 2021","volume":"6 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86579553","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Displacement washing of softwood pulp cooked to various levels of residual lignin content 置换洗涤的软木浆煮熟到不同水平的残余木质素含量

Day 1 Tue, September 21, 2021 Pub Date : 2021-10-01 DOI: 10.32964/tj20.9.553

Md. Mostafizur Rahman, F. Potůček

引用次数: 0

Commercially relevant water vapor barrier properties of high amylose starch acetates: Fact or fiction? 高直链淀粉醋酸酯的商业相关水蒸气阻隔性能:事实还是虚构?

Day 1 Tue, September 21, 2021 Pub Date : 2021-10-01 DOI: 10.32964/tj20.9.599

Chinmay C. Satam, Ashoka Ghosh, P. Hart

{"title":"Commercially relevant water vapor barrier properties of high amylose starch acetates: Fact or fiction?","authors":"Chinmay C. Satam, Ashoka Ghosh, P. Hart","doi":"10.32964/tj20.9.599","DOIUrl":"https://doi.org/10.32964/tj20.9.599","url":null,"abstract":"Starches have recently regained attention as ecofriendly barrier materials due to the increased demand for sustainable packaging. They are easily processable by conventional plastics processing equipment and have been utilized for oil and grease barrier applications. While starches have excellent oxygen barrier properties and decent water barrier properties at low relative humidity (RH), they are moisture sensitive, as demonstrated by the deterioration of the barrier properties at higher RH values. \u0000Starch esters are chemically modified starches where the hydroxyl group of the starch has been substituted by other moieties such as acetates. This imparts hydrophobicity to starches and has been claimed as a good way of retaining water vapor barrier properties of starches, even at high RH conditions. \u0000We studied the water vapor barrier properties of one class of starch esters, i.e., high amylose starch acetates that were assumed to have good water vapor barrier properties. Our investigations found that with a high degree of substitution of hydroxyl groups, the modified starches did indeed show improvements in water vapor response as compared to pure high amylose starch films; however, the barrier properties were orders of magnitude lower than commercially used water vapor barriers like polyethylene. Even though these materials had improved water vapor barrier response, high amylose starch acetates are likely unsuitable as water vapor barriers by themselves, as implied by previous literature studies and patents.","PeriodicalId":10896,"journal":{"name":"Day 1 Tue, September 21, 2021","volume":"61 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84962721","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Tetraethyl orthosilicate-containing dispersion coating — water vapor and liquid water barrier properties 含正硅酸四乙酯分散涂层。水蒸气和液态水阻隔性能

Day 1 Tue, September 21, 2021 Pub Date : 2021-10-01 DOI: 10.32964/tj20.9.583

Beko Mesic, Mathew Cairns, J. Johnston, Meeta Patel

引用次数: 0