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Assessment of dairy cow feed intake based on BP neural network with polynomial decay learning rate

Information Processing in Agriculture 2022年第2期9卷 266-275页

作者： Weizheng Shen Gen Li Xiaoli Wei Qiang Fu Yonggen Zhang tengyu qu Congcong Chen Runtao Wang College of Electric and Information Northeast Agricultural UniversityHarbin 150030China College of Animal Science and Technology Northeast Agricultural UniversityHarbin 150030China

To overcome the shortcomings of traditional dairy cow feed intake assessment model andBP neural network, this paper proposes a method of optimizing BP neural network usingpolynomial decay learning rate, taking the cow’s body weight, lying duration, lying times,walking steps, foraging duration and concentrate-roughage ratio as input variables andtaking the actual feed intake is the output variable to establish a dairy cow feed intakeassessment model, and the model is trained and verified by experimental data collectedon site. For the sake of comparative study, feed intake is simultaneously assessed by SVRmodel, KNN logistic regression model, traditional BP neural network model, and multilayerBP neural network model. The results show that the established BP model using the polynomial decay learning rate has the highest assessment accuracy, the MSPE, RMSE, MAE,MAPE and R2 are 0.043 kg2/d and 0.208 kg/d, 0.173 kg/d, 1.37% and 0.94 respectively. Compared with SVR model and KNN mode, the RMSE value reduced by 43.9% and 26.5%, it isalso found that the model designed in this paper has many advantages in comparison withthe BP model and multilayer BP model in terms of precision and generalization. Therefore,this method is ready to be applied for accurately evaluating the dairy cow feed intake, andit can provide theoretical guidance and technical support for the precise-feeding and canalso be of high significance in the improvement of dairy precise-breeding.

关键词： Cow Feed intake assessment BP neural network Polynomial decay learning rate

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Remote monitoring system for livestock environmental information based on LoRa wireless ad hoc network technology

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International Journal of Agricultural and Biological Engineering 2022年第4期15卷 79-89页

作者： Xiao Fu Weizheng Shen Yanling Yin Yu Zhang Shichao Yan Shengli Kou tengyu qu Musabimana Jacqueline College of Electrical and Information Northeast Agricultural UniversityHarbin 150030China

The environmental quality of livestock houses is key to livestock breeding and directly affects the growth and health of animals.To target the characteristics of long application cycles and large coverage areas for environmental monitoring in large-scale livestock breeding,the current study designed a remote monitoring system to provide livestock environmental information based on LoRa wireless ad hoc network technology.The system consisted of collection terminals,control terminals,LoRa gateways,and Alibaba Elastic Compute Service.It realized real-time collection,wireless transmission,storage of multi-sensor node data,and remote control.The system was not limited by the selected time or region,because data interaction was achieved by accessing cloud servers using GPRS technology.Users could browse and obtain data from computers and a WeChat mini program from any location with network coverage.Additionally,the system used the improved receiver-based auto rate(RBAR)rate-adaptive algorithm in the LoRa wireless communication component.After application on a dairy farm,the results showed that the whole system collected 6140 sets of environmental data from four dairy houses.The packet loss rate was less than 1%within a communication distance of 604 m,and the communication success rate was greater than 99%.The control instructions were real-time and accurate,and the response time was less than 10 s,which met the remote control needs of large farms.The system provided powerful data and technical support for precision animal production.

关键词： remote monitoring LoRa wireless ad hoc network livestock environment environment information system

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Carbon-based functional materials for atmospheric water utilization

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Nano Research 2023年第11期16卷 12491-12505页

作者： Wenya He tengyu Lin Huhu Cheng Liangti qu Laboratory of Flexible Electronics Technology Key Laboratory of Organic Optoelectronics&Molecular EngineeringMinistry of EducationDepartment of ChemistryState Key Laboratory of Tribology in Advanced Equipment(SKLT)Tsinghua UniversityBeijing 100084China

Atmospheric water,as one of the most abundant natural resources on Earth,has attracted huge research interest in the field of water harvesting and energy harvesting and conversion owing its environmental friendliness and easy access.The developments of new materials have seen advanced technologies that can extract water and energy out of this long-neglected resource,suggesting a promising and sustainable approach to address the water and energy crises over the world.Carbon-based functional materials have been considered to be indispensable materials for atmospheric water utilization due to their large surface area,excellent adsorption performance,and higher surface activity.In this review,first,we analyze the interaction between carbon-based functional materials and atmospheric water molecular.Then,technologies developed in recent years for atmospheric water utilization based on carbon-based functional materials are reviewed,mainly focusing on atmospheric water harvesting,moisture-enabled electricity generation,and moisture-responsive actuation.Finally,the remaining challenges and some tentative suggestions possibly guiding developments are proposed,which may pave a way for a bright future of carbon-based functional material in the utilization of atmospheric water.

关键词： carbon-based functional material atmospheric water atmospheric water harvesting moisture-enabled power generator moisture actuators

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超声碱化改善玉米秸秆纤维结构参数优化设计与分析

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浙江大学学报（农业与生命科学版） 2018年第1期44卷 116-124页

作者：沈维政屈腾宇魏晓莉穆英鑫东北农业大学电气与信息学院哈尔滨150030

针对玉米秸秆制作饲料在纤维结构上的缺陷,提出超声碱化处理玉米秸秆制作反刍动物粗饲料的方法,利用4因素5水平的中心组合设计与响应面分析方法,研究超声功率、超声时间、液固比与容器内声功率密度对玉米秸秆木质素脱除与纤维素、半纤... 详细信息

针对玉米秸秆制作饲料在纤维结构上的缺陷,提出超声碱化处理玉米秸秆制作反刍动物粗饲料的方法,利用4因素5水平的中心组合设计与响应面分析方法,研究超声功率、超声时间、液固比与容器内声功率密度对玉米秸秆木质素脱除与纤维素、半纤维素提取的影响,并以超声碱化玉米秸秆后木质素、纤维素、半纤维素含量为响应值分别建立二次回归模型。模型揭示超声因素对各响应值影响的因子贡献率及各因素之间的交互作用对响应面模型具有显著性影响。木质素、纤维素和半纤维素二次回归模型的决定系数分别为0.69、0.79、0.73;利用响应面模型进行工艺参数优化,得到各超声因素的最优工作参数为超声功率99 W、超声时间20 min、液固比7.8∶1、容器内声功率密度2.05 W/m L。各响应参数实际值与预测值的相对误差分别小于13%、12%、14%。本研究表明,合理匹配超声参数有利于降低玉米秸秆饲料中的木质素含量,为超声碱化装置的设计及工作参数的选择提供了科学依据。

关键词：超声碱化纤维结构模型响应面因子贡献率

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端粒酶在端粒延长中的机制研究及其作为药物靶标的进展

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今日药学 2018年第4期28卷 285-288页

作者：曲晓辰许嘉越王秉权毛腾宇吕浩骏黄志纾欧田苗中山大学药学院广东广州510006

端粒酶是由RNA模板和蛋白亚基组成的核酸-蛋白复合物,是染色体末端维持DNA长度和染色体稳定性必需的一种逆转录酶。它可以通过逆转录合成得到DNA以延长缩短了的端粒DNA。该机制发生于细胞周期的S期,在分裂活跃的细胞(如癌细胞)中普遍存... 详细信息

端粒酶是由RNA模板和蛋白亚基组成的核酸-蛋白复合物,是染色体末端维持DNA长度和染色体稳定性必需的一种逆转录酶。它可以通过逆转录合成得到DNA以延长缩短了的端粒DNA。该机制发生于细胞周期的S期,在分裂活跃的细胞(如癌细胞)中普遍存在,但具体过程的作用机制仍有待探索。最新的研究在分子层面发现了端粒与端粒酶之间发生作用的关键蛋白及其机制。笔者在综述了端粒和端粒酶的结构、功能的基础上,进一步介绍了运用单分子成像技术研究端粒酶关键蛋白的研究结果,以及端粒和端粒酶在肿瘤诊疗和抗衰老等方面的研究进展和应用前景。

关键词：端粒酶端粒分子机制药物靶标

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