2018 IEEE 9th International Conference on Mechanical and Intelligent Manufacturing Technologies (ICMIMT)最新文献_第4页

Intensity classification background model based on the tracing scheme for deep learning based CCTV pedestrian detection 基于强度分类背景模型的深度学习CCTV行人检测方案

2018 IEEE 9th International Conference on Mechanical and Intelligent Manufacturing Technologies (ICMIMT) Pub Date : 2018-02-01 DOI: 10.1109/ICMIMT.2018.8340453

Jae Kyu Park, Kyeong-Seok Han, Seok-Yong Yun

{"title":"Intensity classification background model based on the tracing scheme for deep learning based CCTV pedestrian detection","authors":"Jae Kyu Park, Kyeong-Seok Han, Seok-Yong Yun","doi":"10.1109/ICMIMT.2018.8340453","DOIUrl":"https://doi.org/10.1109/ICMIMT.2018.8340453","url":null,"abstract":"This study has suggested an image analysis system based on the Deep Learning for CCTV pedestrian detection and tracing improvement and did experiments for objective verification by designing study model and evaluation model. The study suggestion is that if someone's face did not be recognized in crime scene CCTV footage, the same pedestrian would be traced and found in other image data from other CCTV by using Color Intensity Classification method for clothes colors as body features and body fragmentation technique into 7 parts (2 arms, 2 legs, 1 body, 1 head, and 1 total). If one of other CCTV footage has recorded its face, the identity of the person would be secured. It is not only detection but also search from stored bulk storage to prevent accidents or cope with them in advance by cost reduction of manpower and a fast response. Therefore, CIC7P(Color Intensity Classification 7 Part Base Model) had been suggested by learning device such as Machine Learning or Deep Learning to improve accuracy and speed for pedestrian detection and tracing. In addition, the study has proved that it is an advanced technique in the area of pedestrian detection through experimental proof.","PeriodicalId":354924,"journal":{"name":"2018 IEEE 9th International Conference on Mechanical and Intelligent Manufacturing Technologies (ICMIMT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129823241","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: 6

Rapid detection equipment of food safety based on rear spectroscopic technology and CCD 基于后光谱技术和CCD的食品安全快速检测设备

2018 IEEE 9th International Conference on Mechanical and Intelligent Manufacturing Technologies (ICMIMT) Pub Date : 2018-02-01 DOI: 10.1109/ICMIMT.2018.8340436

Pan Shuo, Ding Lu, Lv Gang, Zhu Pei-yi

引用次数: 0

Influence of scanning speed on the microstructure of deposited Al-Cu-Fe coatings on a titanium alloy substrate by laser metal deposition process 扫描速度对激光金属沉积钛合金基体Al-Cu-Fe涂层组织的影响

2018 IEEE 9th International Conference on Mechanical and Intelligent Manufacturing Technologies (ICMIMT) Pub Date : 2018-02-01 DOI: 10.1109/ICMIMT.2018.8340418

R. Gharehbaghi, O. Fatoba, E. Akinlabi

{"title":"Influence of scanning speed on the microstructure of deposited Al-Cu-Fe coatings on a titanium alloy substrate by laser metal deposition process","authors":"R. Gharehbaghi, O. Fatoba, E. Akinlabi","doi":"10.1109/ICMIMT.2018.8340418","DOIUrl":"https://doi.org/10.1109/ICMIMT.2018.8340418","url":null,"abstract":"Laser Additive Manufacturing is relatively new in the manufacturing industry. This paper focuses on the influence of scanning speed on Al-Cu-Fe coating powders on a titanium alloy using laser metal deposition (LMD) process. Al-Cu-Fe as quasicrystals are a relatively new class of materials which exhibit unusual atomic structure and useful physical and chemical properties. The intermetallic section where the hybrid coating bonded into grade five titanium alloy substrate were observed. It was found that the geometrical properties of the deposits such as deposit width, deposit height and the Heat Affected Zone (HAZ) of each sample decreases with increasing scanning speed due to the laser-material interaction. It was observed that an increase in scanning speed results in an increase in both dilution and aspect ratio. However, this is not true for the graph of powder efficiency as a function of scanning speed, increasing scanning speed decreases the powder efficiency. The smoother surface observed at low scanning speed that is as a result of proper melting of Ti powder due to the large laser material interaction time. As the scanning speed increases, the laser material interaction time reduces causing more and more unmelted Ti powder to be seen. The mean hardness value decreases with increasing scanning speed. XRD analysis showed that increasing scanning speed will significantly increase the diffraction peak of Ti and Ti3Al.","PeriodicalId":354924,"journal":{"name":"2018 IEEE 9th International Conference on Mechanical and Intelligent Manufacturing Technologies (ICMIMT)","volume":"30 6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131846208","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: 18

Evaluation of the methods of dispersion of carbon nanotubes (CNTs) in titanium and its alloys: Literature review 碳纳米管(CNTs)在钛及其合金中的分散方法评价:文献综述

2018 IEEE 9th International Conference on Mechanical and Intelligent Manufacturing Technologies (ICMIMT) Pub Date : 2018-02-01 DOI: 10.1109/ICMIMT.2018.8340419

O. Ajiteru, T. Tshephe, A. M. Okoro, P. Olubambi, S. Lephuthing, M. Lesufi

{"title":"Evaluation of the methods of dispersion of carbon nanotubes (CNTs) in titanium and its alloys: Literature review","authors":"O. Ajiteru, T. Tshephe, A. M. Okoro, P. Olubambi, S. Lephuthing, M. Lesufi","doi":"10.1109/ICMIMT.2018.8340419","DOIUrl":"https://doi.org/10.1109/ICMIMT.2018.8340419","url":null,"abstract":"Titanium (Ti) and its alloys are used in several areas of application such as reactors, biomedical, aircraft, naval ships, spacecraft, armor plating amongst others. This is due to their exceptional corrosion resistance, fatigue resistance, high tensile strength to weight ratio coupled with their ability to withstand moderately high temperatures without creep. However, they exhibit certain limitations, some of which include inferior wear resistance, low hardness, young's modulus and heat resistance. In an attempt to improve these properties, various reinforcements have been utilized for instance, ceramics (TiB, TiB2, SiC, Al2O3, and TiC) which helps to increase the stiffness and stability, metals (e.g. tungsten, W) that fosters the hardness and tensile strength of the material. However, the advent of carbon nanotubes (CNTs) on the other hand has shown to hold a great potential to tremendously augment the properties and use of Titanium and its alloys. Since the major problem associated with CNTs as reinforcement in metal matrix composites (MMCs) is achieving homogenous dispersion, this study aims at reviewing the different methods of dispersing CNTs in Ti and its alloy. The literature review carried out in this work has identified solution ball mill (SBM) as a good method of dispersion, although it's not completely effective and more work still needs to be done by researchers so as to obtain optimal mechanical properties from the process.","PeriodicalId":354924,"journal":{"name":"2018 IEEE 9th International Conference on Mechanical and Intelligent Manufacturing Technologies (ICMIMT)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126923080","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: 6

Contionuous VS discrete PID controller 连续VS离散PID控制器

2018 IEEE 9th International Conference on Mechanical and Intelligent Manufacturing Technologies (ICMIMT) Pub Date : 2018-02-01 DOI: 10.1109/ICMIMT.2018.8340444

P. Podržaj

引用次数: 8

The development of a new 6 DOF collaborative robot 新型六自由度协作机器人的研制

2018 IEEE 9th International Conference on Mechanical and Intelligent Manufacturing Technologies (ICMIMT) Pub Date : 2018-02-01 DOI: 10.1109/ICMIMT.2018.8340442

Saixuan Chen, Minzhou Luo

引用次数: 0

Reverse modeling and innovative design of complicated surfaces 复杂曲面的逆向建模与创新设计

2018 IEEE 9th International Conference on Mechanical and Intelligent Manufacturing Technologies (ICMIMT) Pub Date : 2018-02-01 DOI: 10.1109/ICMIMT.2018.8340437

Xiao Shan-hua

引用次数: 0

Influence of deformation of bush and its fulcrum on static characteristics of fixed_titing sliding radical bearing 轴瓦及其支点变形对固定滑动径向轴承静特性的影响

2018 IEEE 9th International Conference on Mechanical and Intelligent Manufacturing Technologies (ICMIMT) Pub Date : 2018-02-01 DOI: 10.1109/ICMIMT.2018.8340413

Yongle Zhang, Ling Xiong, Jian Zhou

引用次数: 0

Influence of image registration process disturbances on accuracy of marker coordinates detection 图像配准过程干扰对标记坐标检测精度的影响

2018 IEEE 9th International Conference on Mechanical and Intelligent Manufacturing Technologies (ICMIMT) Pub Date : 2018-02-01 DOI: 10.1109/ICMIMT.2018.8340452

J. Iwaniec, M. Iwaniec, A. Kalukiewicz

引用次数: 0

Structure design and steering analysis of tracked undersea robot 履带式水下机器人结构设计与转向分析

2018 IEEE 9th International Conference on Mechanical and Intelligent Manufacturing Technologies (ICMIMT) Pub Date : 2018-02-01 DOI: 10.1109/ICMIMT.2018.8340441

Shang Weiyan, Yang Canjun, Qiu Faju, Qiufaju

引用次数: 0