找回密碼
 To register

QQ登錄

只需一步,快速開始

掃一掃,訪問微社區(qū)

打印 上一主題 下一主題

Titlebook: Video Image Detection Systems Installation Performance Criteria; Daniel T. Gottuk Book 2008 Fire Protection Research Foundation 2008 IR il

[復(fù)制鏈接]
查看: 16002|回復(fù): 40
樓主
發(fā)表于 2025-3-21 18:02:20 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Video Image Detection Systems Installation Performance Criteria
編輯Daniel T. Gottuk
視頻videohttp://file.papertrans.cn/983/982918/982918.mp4
概述Includes supplementary material:
叢書名稱SpringerBriefs in Fire
圖書封面Titlebook: Video Image Detection Systems Installation Performance Criteria;  Daniel T. Gottuk Book 2008 Fire Protection Research Foundation 2008 IR il
描述Computer processing and image analysis technologies have improved substantially over the course of the past decade. This rapidly advancing technology along with the emphasis on video surveillance since 911 has propelled the development of effective video image detection (VID) systems for ?re. Fire protection system designers initially employed these VID systems for use in large facilities, outdoor locations and tunnels. However, video-based detection is being used for a broadening range of applications [e. g. , 1]. For example, these systems are c- rently installed in electrical power plants, paper mills, document storage facilities, historic municipal buildings, nuclear research facilities, automotive plants, wa- house/distribution centers, and onshore and offshore oil platforms. The 2007 edition of NFPA 72, National Fire Alarm Code [2], recognized the use of VID systems for ?ame and smoke detection. Although recognized, there is limited prescriptive installation and use requirements and there is a general desire by many for the development of performance criteria that ultimately could be utilized for the design of systems or the creation of standards. Since the underlying VID tec
出版日期Book 2008
關(guān)鍵詞IR illuminators; camera system; computer vision; detection; smoke detection; video image detection
版次1
doihttps://doi.org/10.1007/978-1-4614-4202-8
isbn_softcover978-1-4614-4201-1
isbn_ebook978-1-4614-4202-8Series ISSN 2193-6595 Series E-ISSN 2193-6609
issn_series 2193-6595
copyrightFire Protection Research Foundation 2008
The information of publication is updating

書目名稱Video Image Detection Systems Installation Performance Criteria影響因子(影響力)




書目名稱Video Image Detection Systems Installation Performance Criteria影響因子(影響力)學(xué)科排名




書目名稱Video Image Detection Systems Installation Performance Criteria網(wǎng)絡(luò)公開度




書目名稱Video Image Detection Systems Installation Performance Criteria網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Video Image Detection Systems Installation Performance Criteria被引頻次




書目名稱Video Image Detection Systems Installation Performance Criteria被引頻次學(xué)科排名




書目名稱Video Image Detection Systems Installation Performance Criteria年度引用




書目名稱Video Image Detection Systems Installation Performance Criteria年度引用學(xué)科排名




書目名稱Video Image Detection Systems Installation Performance Criteria讀者反饋




書目名稱Video Image Detection Systems Installation Performance Criteria讀者反饋學(xué)科排名




單選投票, 共有 0 人參與投票
 

0票 0%

Perfect with Aesthetics

 

0票 0%

Better Implies Difficulty

 

0票 0%

Good and Satisfactory

 

0票 0%

Adverse Performance

 

0票 0%

Disdainful Garbage

您所在的用戶組沒有投票權(quán)限
沙發(fā)
發(fā)表于 2025-3-21 22:54:42 | 只看該作者
978-1-4614-4201-1Fire Protection Research Foundation 2008
板凳
發(fā)表于 2025-3-22 02:50:48 | 只看該作者
Video Image Detection Systems Installation Performance Criteria978-1-4614-4202-8Series ISSN 2193-6595 Series E-ISSN 2193-6609
地板
發(fā)表于 2025-3-22 06:41:56 | 只看該作者
5#
發(fā)表于 2025-3-22 11:05:52 | 只看該作者
6#
發(fā)表于 2025-3-22 13:36:06 | 只看該作者
7#
發(fā)表于 2025-3-22 18:30:11 | 只看該作者
8#
發(fā)表于 2025-3-22 21:38:56 | 只看該作者
9#
發(fā)表于 2025-3-23 05:22:57 | 只看該作者
Daniel T. Gottukdeling, Hierarchical ANN, Inference and Recognition, Information and Optimization, Interacting with The Brain, Machine Learning (ML), ML for Bio Medical systems, ML and Video-Image Processing, ML and Forensics, ML and Cybersecurity, ML and Social Media, ML in Engineering, Movement and Motion Detecti
10#
發(fā)表于 2025-3-23 07:47:50 | 只看該作者
Daniel T. Gottukion. Due to the inherent nature of machine learning and total-order relation, less features are needed to represent data without adverse effecting on performance. Moreover, we propose two efficient methods, namely Adaptive Neighbors Selection(ANS) and Uniform Neighbors Serialization(UNS), to reduce
 關(guān)于派博傳思  派博傳思旗下網(wǎng)站  友情鏈接
派博傳思介紹 公司地理位置 論文服務(wù)流程 影響因子官網(wǎng) 吾愛論文網(wǎng) 大講堂 北京大學(xué) Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點(diǎn)評 投稿經(jīng)驗(yàn)總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學(xué) Yale Uni. Stanford Uni.
QQ|Archiver|手機(jī)版|小黑屋| 派博傳思國際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-9 12:19
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權(quán)所有 All rights reserved
快速回復(fù) 返回頂部 返回列表
拜泉县| 乌审旗| 泗洪县| 固安县| 永靖县| 石门县| 铜陵市| 错那县| 盐津县| 唐河县| 泰州市| 郧西县| 玉林市| 贵德县| 新乐市| 周口市| 日土县| 卓资县| 包头市| 越西县| 泸州市| 定安县| 岳阳市| 泗阳县| 曲松县| 宝丰县| 天气| 额济纳旗| 正定县| 浦县| 安泽县| 靖安县| 彭阳县| 崇左市| 湾仔区| 宝清县| 桑植县| 大英县| 高阳县| 阳高县| 博白县|