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科技导报
| 专题:体系工程 2020, 38(21): 192-196
基于维权执法任务的单警执法系统
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顾禹, 贺贺, 石宇豪
作者信息
A single-police forensic system based on rights protection law enforcement task
GU Yu, HE He, SHI Yuhao
Affiliations
出版时间: 2020-11-13
doi: 10.3981/j.issn.1000-7857.2020.21.024
文章导航
当前警察在执法取证过程中取证手段单一,不能实时、有效地对证据进行分析处理,不能为执法任务的侦查、抓捕等行动提供有效辅助支撑。为解决此类问题,构建了一种以多警员协同取证为主、单警员取证为辅的体系化单警执法系统。采用网络体系架构,集成先进取证设备、传输设备,应用基于深度学习算法的证据处理系统,并采用系统工程的方法,对该系统进行总体和运行流程设计,在设计过程中提出了信息集成、指挥辅助决策、特征提取等关键技术。
At present, police have only a single means of evidence collection in the process of law enforcement and can neither analyze and deal with evidence effectively in real time nor provide effective support for investigation and arrest of law enforcement tasks. To solve these problems, we propose a single police law enforcement system based on rights protection law enforcement tasks. We adopt network architecture, integrate advanced forensic equipment and transmission equipment and apply deep learning algorithm to the evidence processing system to construct a systematic single police law enforcement system based on single police evidence collection and multiple police cooperative evidence collection. We use system engineering method to design the system and the operation process. In the design process, we put forward key technologies such as information integration, command assistant decision making and feature extraction.
law enforcement and evidence collection
/
single police law enforcement system
/
systems engineering
顾禹, 贺贺, 石宇豪.
基于维权执法任务的单警执法系统.
科技导报,
2020
, 38
(21)
: 192
-196
.
DOI: 10.3981/j.issn.1000-7857.2020.21.024
GU Yu, HE He, SHI Yuhao.
A single-police forensic system based on rights protection law enforcement task[J].
Science & Technology Review ,
2020
, 38
(21)
: 192
-196
.
DOI: 10.3981/j.issn.1000-7857.2020.21.024
2020年第38卷第21期
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文章信息
doi: 10.3981/j.issn.1000-7857.2020.21.024
接收时间:2020-04-16
首发时间:2020-11-17
出版时间:2020-11-13
收稿日期:2020-04-16
修回日期:2020-07-16
https://castjournals.cast.org.cn/joweb/kjdb/CN/10.3981/j.issn.1000-7857.2020.21.024
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2种不同金属材料的力学参数
科 Family 属数 Number of genus 种数 Number of species 占总种数比例 Percentage of total species (%) 属 Genus 种数 Number of species 占总种数比例 Percentage of total species (%) 鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78 小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39 多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39 红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87 小菇属 Mycena 11 5.26 光柄菇属 Pluteus 5 2.39 红菇属 Russula 17 8.13 栓菌属 Trametes 5 2.39
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