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学者姓名：侯义斌
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摘要 ：
The bus passenger data are very important for urban bus dispatching management. When passengers get on or off the bus, they often hide from each other. It is a great challenge for automatically accounting passengers through camera. The traditionally video-based target detection algorithm or target tracking algorithm is difficult to accurately count the number of passenger on and off. In this paper, the YOLOv2 algorithm is combined with the MIL tracker so as to real-time account the number of passengers in the bus surveillance video. Experiment shows that the accuracy rate of bus passenger statistics proposed in this paper reaches over 99%, and it proves that our method has good real-time and high accuracy. © 2020 IEEE.
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| GB/T 7714 | Liu, Leyuan , He, Jian , Hou, Yibin et al. A Technology for Automatically Counting Bus Passenger Based on YOLOv2 and MIL Algorithm [C] . 2020 : 166-170 . |
| MLA | Liu, Leyuan et al. "A Technology for Automatically Counting Bus Passenger Based on YOLOv2 and MIL Algorithm" . (2020) : 166-170 . |
| APA | Liu, Leyuan , He, Jian , Hou, Yibin , Zhang, Cheng . A Technology for Automatically Counting Bus Passenger Based on YOLOv2 and MIL Algorithm . (2020) : 166-170 . |
| 导入链接 | NoteExpress RIS BibTex |
摘要 ：
物联网和网络视频丢包率到用户体验质量的映射模型是学术界和工商界的热点话题。为了更好地建立考虑网络丢包的视频质量无参评估模型得到更好的QoE评价，通过建立cygwin + NS2的网络环境对网络中丢包的尺度特性进行研究，丢包的尺度特性通过影响丢包率来影响QoE。实验结果表明，丢包的过程具有长相关性，叠加源个数N，形状参数和Hurst参数以及输出链路速度都可以影响丢包的长相关性。得出的结论是叠加源个数越多，形状参数越小，Hurst参数越大，输出链路速度越小，则丢包的长相关性越大，丢包率越大。
关键词 ：
Quality Assessment Model Quality Assessment Model No-Reference No-Reference 长相关性丢包 长相关性丢包 Network Packet Loss Network Packet Loss Long-Range Dependence Long-Range Dependence 质量评估模型 质量评估模型 The Long Phase of Network Packet Loss The Long Phase of Network Packet Loss 网络丢包 网络丢包 网络丢包的长相关性 网络丢包的长相关性 无参考 无参考
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| GB/T 7714 | 侯义斌 , 王进 . 物联网下影响网络丢包的长相关性的因素对丢包率的影响 [J]. | 软件工程与应用 , 2019 , 8 (03) : 121-130 . |
| MLA | 侯义斌 et al. "物联网下影响网络丢包的长相关性的因素对丢包率的影响" . | 软件工程与应用 8 . 03 (2019) : 121-130 . |
| APA | 侯义斌 , 王进 . 物联网下影响网络丢包的长相关性的因素对丢包率的影响 . | 软件工程与应用 , 2019 , 8 (03) , 121-130 . |
| 导入链接 | NoteExpress RIS BibTex |
摘要 ：
The purpose of the study is to evaluate the quality of computer video image quality under the Internet of things, so as to improve the user's quality of experience. The research method is studied with MATLAB 2017 software and NS2+cygwin and MyEvalvid and visio 2016 software. The result is that the Logistic function can be used to get the subjective and an objective fitting map, Logistic function is better than other function under the field of video image quality evaluation under the Internet of things. The conclusion is that the method of video image quality evaluation model under the Internet of things is proposed in the paper is more accurate and faster than the other methods. Because coefficient SROCC, KROCC, PLCC, RMSE is close to 1, so the model has good performance. Access control card recognition, vehicle recognition, license plate recognition, intelligent transportation and IPTV and computer are all applications of the Internet of things. © 2019 IEEE.
关键词 ：
Access control Access control Function evaluation Function evaluation Image enhancement Image enhancement Image quality Image quality Internet of things Internet of things IPTV IPTV License plates (automobile) License plates (automobile) MATLAB MATLAB Optical character recognition Optical character recognition Quality control Quality control Quality of service Quality of service User experience User experience
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| GB/T 7714 | Hou, Yibin , Wang, Jin . Evaluation Model of Computer Video Image Quality under the Internet of Things [C] . 2019 : 552-563 . |
| MLA | Hou, Yibin et al. "Evaluation Model of Computer Video Image Quality under the Internet of Things" . (2019) : 552-563 . |
| APA | Hou, Yibin , Wang, Jin . Evaluation Model of Computer Video Image Quality under the Internet of Things . (2019) : 552-563 . |
| 导入链接 | NoteExpress RIS BibTex |
摘要 ：
物联网和网络视频丢包率到用户体验质量的映射模型是学术界和工商界的热点话题。为了研究视频在网络传输过程中丢包对QoE的影响并建立丢包率到QoE的映射，搭建了NS2 + MyEvalvid实验仿真平台，重点研究丢包对用户体验质量QoE的影响并建立丢包率到用户体验质量QoE的映射。仿真结果表明，丢包对用户体验质量QoE有着显著影响，丢包率和用户体验质量QoE呈现一元非线性关系。因此，在研究丢包对QoE有显著影响的基础上，采用一元非线性回归分析的方法建立丢包率到用户体验质量QoE的映射。
关键词 ：
Influence Influence Mapping Model Mapping Model Network Video Network Video Packet Loss Packet Loss Packet Loss Rate Packet Loss Rate Quality of Experience Quality of Experience 丢包 丢包 丢包率 丢包率 影响 影响 映射模型 映射模型 用户体验质量 用户体验质量 网络视频M 网络视频M
引用：
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| GB/T 7714 | 侯义斌 , 王进 . 物联网下网络视频丢包率到用户体验质量的数学映射模型 [J]. | 软件工程与应用 , 2019 , 8 (03) : 131-140 . |
| MLA | 侯义斌 et al. "物联网下网络视频丢包率到用户体验质量的数学映射模型" . | 软件工程与应用 8 . 03 (2019) : 131-140 . |
| APA | 侯义斌 , 王进 . 物联网下网络视频丢包率到用户体验质量的数学映射模型 . | 软件工程与应用 , 2019 , 8 (03) , 131-140 . |
| 导入链接 | NoteExpress RIS BibTex |
摘要 ：
本发明涉及一种实时渲染中的水面仿真的方法，属于计算机图形学领域，旨在解决现有水面实时渲染仿真技术中无法兼顾真实感与计算效率的问题。本发明主要包含七个算法模块或部分，即：倒影摄像机、片元法线生成模块、水面反射颜色生成模块、水底颜色生成模块、菲涅尔系数生成方法、高光反射颜色生成方法、水面颜色混合方法。本发明通过上述算法模块或者部分的配合，可以得到最终的水面效果。本发明可应用于主流实时三维编程接口：OpenGL或DirectX。此外，本发明所采用的方法，在不涉及水体本身物理模拟，不涉及水面下观察的三维交互应用中，能够兼顾真实感与计算效率。
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| GB/T 7714 | 任柯燕 , 严嘉睿 , 侯义斌 . 一种实时渲染中的水面仿真方法 : CN201910442598.2[P]. | 2019-05-25 . |
| MLA | 任柯燕 et al. "一种实时渲染中的水面仿真方法" : CN201910442598.2. | 2019-05-25 . |
| APA | 任柯燕 , 严嘉睿 , 侯义斌 . 一种实时渲染中的水面仿真方法 : CN201910442598.2. | 2019-05-25 . |
| 导入链接 | NoteExpress RIS BibTex |
摘要 ：
Big data to use JAVA, group software engineering, networking, cloud computing knowledge and technology. The purpose of this paper is Research on Wireless sensor network of the Internet of things. The Internet of things, mainly includes multicast network, ZIGBEE network, WSN network, Bluetooth network, infrared network and so on. Swarm software engineering is a way to implement cloud computing, Internet of things and big data. Cloud computing comes from big data, the Internet of things can be achieved through cloud computing. This paper mainly studies, computers, software, networks, smart cities, and the use of Excel and Matlab and Microsoft Office Visio 2003 mapping and so forth. And through the practice of research methods, including automotive networking and smart city. What is the Internet of things, objects connected to the Internet is the Internet of things, cup networking, car networking. Things better than other networks, is composed of what objects, what composition, what nature, what innovation and superiority. The four key technologies of the Internet are widely used, and these four technologies are mainly RFID, WSN, M2M, two kinds of integration. RFID can be implemented using MATLAB, NS2, and JAVA, and WSN can be implemented using NS2, and M2M can be developed using JAVA. The research results are that the Internet of things originated and developed in the Internet; on the contrary, the development of the Internet of things further promoted the Internet to a more widespread 'Internet' evolution. The Internet of things and the Internet are the relationships between the parent and the child. Wireless networks are just like wireless WSN networks, but wireless nodes are fixed and moved into sensors. The Internet of things includes Internet technology, including wired and wireless networks. The research conclusion is the wireless internet of things are just like the wired internet of things, wired provides the basis for Wireless Research. Baidu Tiangong Internet of things platform, Amazon AWS platform, ERP and so on are also important applications of the Internet of things. The use of mirroring and replication software also requires Internet of things. Video is composed of multi frame images. H.264 and JM encoder are also the future directions. Where to go network Ctrip network is the application of the Internet of things. Recalling what we do today, planning tomorrow, how to spend the university stage and predicting the future of university development can be the application of the Internet of things. I visited the Tangshan Rd. Mart store in Qian’an from January 2017 to March. The feeling is that Beijing is still Carrefour and Jing Kelong and WAL-MART and Hualian. The electricity supplier which Ma Yun’s Alibaba still feels more powerful. Now Hebei province and all parts of the country have venture capital and subsidy, which will undoubtedly promote the Internet of things. © Springer Nature Switzerland AG 2019.
关键词 ：
Big data Big data Cloud computing Cloud computing Electric utilities Electric utilities Internet of things Internet of things Investments Investments Java programming language Java programming language MATLAB MATLAB Smart city Smart city Wireless sensor networks Wireless sensor networks Zigbee Zigbee
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| GB/T 7714 | Hou, Yibin , Wang, Jin . Investigation of wireless sensor network of the internet of things [C] . 2019 : 21-29 . |
| MLA | Hou, Yibin et al. "Investigation of wireless sensor network of the internet of things" . (2019) : 21-29 . |
| APA | Hou, Yibin , Wang, Jin . Investigation of wireless sensor network of the internet of things . (2019) : 21-29 . |
| 导入链接 | NoteExpress RIS BibTex |
摘要 ：
针对目前室内环境监控领域存在的环境信息采集能力薄弱、处理过程缺乏标准、硬件系统复杂等问题,基于Xilinx Zynq平台和IEEE 1451.2协议,设计了一个可对多种环境信息进行监控的系统.该系统主要包括智能变送器接口模块(smart transducer interface module,STIM)和网络适配应用处理器(network capable application processor,NCAP)模块.其中,STIM依据IEEE 1451.2协议实现环境信息的采集及其标准化;NCAP则利用受限应用协议(constrained application protocol,Co AP)实...
关键词 ：
室内环境监控 室内环境监控 Zynq Zynq IEEE 1451.2 IEEE 1451.2 受限应用协议(Co AP) 受限应用协议(Co AP)
引用：
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| GB/T 7714 | 任柯燕 , 马松松 , 王书龙 et al. 基于Zynq和IEEE 1451.2的室内环境监控系统 [J]. | 北京工业大学学报 , 2018 , 44 (10) : 1303-1313 . |
| MLA | 任柯燕 et al. "基于Zynq和IEEE 1451.2的室内环境监控系统" . | 北京工业大学学报 44 . 10 (2018) : 1303-1313 . |
| APA | 任柯燕 , 马松松 , 王书龙 , 侯义斌 . 基于Zynq和IEEE 1451.2的室内环境监控系统 . | 北京工业大学学报 , 2018 , 44 (10) , 1303-1313 . |
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摘要 ：
研究无线传感器网络QOS-QOE节能优化模型的目的是界定和研究WSN网络QOS-QOE节能优化建模问题。研究内容主要是无线传感器网络QOS-QOE，第一，研究WSN网络以及其下面各种算法主要是解决TSP问题，然后研究QOE模型，建立模型参数可以包括QOS因素也可以包括非QOS因素，最后研究QOS-QOE模型，参数只包括QOS因素。研究方法主要是找到关键问题无线传感器网络QOS-QOE节能优化建模研究，通常目标函数是关键问题，主要采用蚁群算法，遗传算法，人工神经网络下SVM + PCA和LS-SVM和LIBSVM等方法。互联网的四大关键技术应用非常广泛，这四种技术主要是RFID，WSN，M2M两种融合。RFID可以使用matlab，NS2，JAVA实现，WSN可以使用NS2，OMNET++实现，M2M可以使用JAVA开发。研究结论是物联网来源和发展于互联网；反之，物联网的发展又进一步推动互联网向一种更为广泛的“互联”演进。物联网和互联网是父与子的关系，无线网络和无线WSN网络一样，只不过无线节点固定和移动的变为了传感器而已。无线传感器网络QOS-QOE节能优化模型比其他QOE模型更节能，更精确，更优化。物联网包括互联网技术，WSN网络，RFID可以是WSN网络的一部分，RFID的翅膀是WSN网络。航天科技行业也应用到了物联网。
关键词 ：
Energy Saving Optimization Model Energy Saving Optimization Model Genetic Algorithm Genetic Algorithm QoE QoE QoS QoS 无线传感器网络 无线传感器网络 节能优化模型 节能优化模型 遗传算法Wireless Sensor Network 遗传算法Wireless Sensor Network
引用：
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| GB/T 7714 | 侯义斌 , 王进 . 无线传感器网络QOS-QOE节能优化模型 [J]. | 传感器技术与应用 , 2018 , 6 (02) : 50-57 . |
| MLA | 侯义斌 et al. "无线传感器网络QOS-QOE节能优化模型" . | 传感器技术与应用 6 . 02 (2018) : 50-57 . |
| APA | 侯义斌 , 王进 . 无线传感器网络QOS-QOE节能优化模型 . | 传感器技术与应用 , 2018 , 6 (02) , 50-57 . |
| 导入链接 | NoteExpress RIS BibTex |
摘要 ：
Night target tracking usually fails due to various reasons such as insufficient light, appearance change, motion blur, illumination variation, and deformation. Because infrared (IR) and visible video data provides complementary information that can be utilized suitably and efficiently, we explore a novel framework by combining correlation filter-based visible tracking and Markov chain Monte Carlo (MCMC)-based IR tracking to overcome these challenges. In this framework, the two types of videos are asynchronous, and the frame rate of visible video is several times faster than that of IR video. Visible video is first used for location and scale estimation by solving a ridge regression problem efficiently in the correlation filter domain. When recording IR data, we use a uniquely designed feature shape context descriptor for the best location and scale estimation of an IR video target by using the MCMC particle filter. Then, we use candidate region location-scale fusion rules for the final target tracking update. Meanwhile, we build an accurately labeled IR and visible target tracking dataset for experiments. The result shows that the performance of our proposed approach is better than the state-of-the-art trackers for night target tracking, and our approach can significantly improve re-tracking performance when there is the drift.
关键词 ：
asynchronous multi-sensor fusion asynchronous multi-sensor fusion correlation filter correlation filter infrared and visible tracking infrared and visible tracking target tracking target tracking
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| GB/T 7714 | Ren, Keyan , Zhang, Xiao , Han, Yu et al. Robust night target tracking via infrared and visible video fusion [C] . 2018 . |
| MLA | Ren, Keyan et al. "Robust night target tracking via infrared and visible video fusion" . (2018) . |
| APA | Ren, Keyan , Zhang, Xiao , Han, Yu , Hou, Yibin . Robust night target tracking via infrared and visible video fusion . (2018) . |
| 导入链接 | NoteExpress RIS BibTex |
摘要 ：
文中介绍了一种基于区块链技术的电子证据系统架构.区块链数据不可篡改的特性,保障了电子证据的真实性,从而推动了电子证据技术的快速发展与应用.架构中还描述了一种电子证据的批量打包方式,其可以降低区块链的存证成本,提高存证效率.
关键词 ：
区块链 区块链 批量打包 批量打包 电子证据 电子证据
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| GB/T 7714 | 侯义斌 , 梁勋 , 占小瑜 . 基于区块链的电子证据系统架构模型 [J]. | 计算机科学 , 2018 , 45 (z1) : 348-351 . |
| MLA | 侯义斌 et al. "基于区块链的电子证据系统架构模型" . | 计算机科学 45 . z1 (2018) : 348-351 . |
| APA | 侯义斌 , 梁勋 , 占小瑜 . 基于区块链的电子证据系统架构模型 . | 计算机科学 , 2018 , 45 (z1) , 348-351 . |
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