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食用菌菌种行业管理研究:以山东省为例
Study on the Management of Edible Mushroom Strain Industry: Taking Shandong Province as an Example
 [PDF]

, 李敏, 胡继连
Sustainable Development (SD) , 2014, DOI: 10.12677/SD.2014.44008
Abstract:
菌种的好坏直接影响食用菌的发展。山东省作为生产食用菌的第一大省,受价格体系、管理体制及政策等因素影响,在该新兴产业的管理上,特别是菌种行业的管理上尚不健全,导致菌种行业出现市场混乱、行业风险高等问题。为确保食用菌菌种行业的健康、持续发展,本文从建立信息平台、加大科研投入、促进合作建设、加强市场监管等方面提出行业管理建议,从而规范菌种市场,确保菌种质量。
The quality of strain has direct impact on the development of edible mushroom industry. Shandong Province ranks NO. 1 in production of edible mushroom nationwide. Due to the influence of price mechanism, administrative system and governing policies, defectives exist in Shandong Province’s management of the emerging edible mushroom industry, especially in sector on mushroom strain. Therefore it results in market disorders and high industry risks in the strain industry. In order to ensure healthy and sustainable development of edible mushroom strain industry, thereby regulate strain market and assure strain quality, suggestions on industry management were proposed accordingly. These suggestions focus on the following aspects: establishing information platform, increasing budget for scientific research, promoting founding of cooperatives, and enhancing market supervision.
盐酸青藤碱延迟起释缓释片的研制
张瑜,
中国中药杂志 , 2010,
Abstract: 目的:研制盐酸青藤碱延迟起释型缓释片。方法:采用干法压制包衣法制得盐酸青藤碱延迟起释型缓释片,以片芯和衣膜中HPMC用量比例为影响因素,以释药时滞和释药速度常数为评价指标,采用星点设计试验,多元线性回归及二项式方程拟合建立指标与因素之间的数学关系,通过效应面法优化其处方,并对优化结果进行验证;对延迟缓释片时滞后6~15h的释药数据进行零级、Higuchi和Peppas方程拟合,解析其释药机制。结果:释药时滞和释药速度常数与两因素之间均可用二项式方程拟合,相关系数分别为0.9901和0.9876,优化处方的释药时滞和释药速度常数实测值与预测值偏差分别为-3.15%和-0.34%,优化处方制得盐酸青藤碱延迟起释型缓释片释药时滞约6h,药物在6~15h内近似于零级释放,释药机制为骨架溶蚀释药。结论:盐酸青藤碱延迟片具有时滞后药物缓慢释放的释药特性,所建立的数学模型预测性良好。
基于SARIMA模型的重庆GDP的季节预测
Forecast of Chongqing Quarterly GDP Based on SARIMA Model
 [PDF]


Statistics and Applications (SA) , 2022, DOI: 10.12677/SA.2022.114092
Abstract: 对1998Q1~2021Q3的重庆GDP季度数据,利用R软体建立SARIMA模型,对建立的模型进行优化评估,并用该模型预测重庆2021的3季度GDP数据,与真实数据进行比较,以确定模型预测的准确性。根据建立的时间序列分析得到最优模型为SARIMA(2, 0, 3) × (1, 1, 0)4,预测值与实际值的平均相对误差为12.32%,SARIMA模型很好地拟合了重庆GDP的季度数据的趋势。可以利用SARIMA模型进行较准确的短期季度数据预测,为重庆经济的发展提供参考。
Based on Chongqing quarterly GDP data from 1998Q1 to 2021Q3, the SARIMA model is established by R software. The model is optimized and evaluated, and is used to predict the three quarterly GDP data of Chongqing in 2021. It is compared with the real data to determine the accuracy of the model prediction. According to the established time series analysis, the optimal model is SARIMA(2, 0, 3) × (1, 1, 0)4, and the average relative error between the predicted value and the actual value is 12.32%. SARIMA model fits the trend of Chongqing quarterly GDP data well. SARIMA model can be used to predict short-term and quarterly data accurately, which can provide reference for the economic development of Chongqing.
基于ARIMA模型的重庆GDP预测研究
Research on Chongqing GDP Forecast Based on ARIMA Model
 [PDF]


Statistics and Applications (SA) , 2022, DOI: 10.12677/SA.2022.114089
Abstract: 对1978年至2021年重庆GDP数据,利用R软体建立ARIMA模型,对建立的模型进行优化评估,并用该模型预测重庆2017~2021年GDP数据,与真实数据进行比较,以确定模型预测的准确性。根据建立的时间序列分析得到最优模型为ARIMA(2, 2, 2),预测值与实际值的平均相对误差为1.36%,ARIMA模型很好地拟合了重庆GDP发展的趋势。可以利用ARIMA模型进行较准确的短期预测,为重庆经济的发展提供参考。
Based on the GDP data of Chongqing from 1978 to 2021, the ARIMA model was established by R software, and the model was optimized and evaluated. The model was used to predict the GDP data of Chongqing from 2017 to 2021, and compared with the real data to determine the accuracy of the model prediction. According to the established time series analysis, the optimal model is ARIMA(2, 2, 2), and the average relate error between the predicted value and the actual value is 1.36%. The ARIMA model fits the GDP development trend of Chongqing well. The ARIMA model can be used to make a more accurate short-term forecast and provide reference for the economic development of Chongqing.
共享制造促进制造业高质量发展的机理与路径分析
Analysis of Mechanisms and Paths of Shared Manufacturing Promoting High-Quality Development of the Manufacturing Industry
 [PDF]


Operations Research and Fuzziology (ORF) , 2023, DOI: 10.12677/ORF.2023.134309
Abstract: 共享制造是以信息技术为基础,整合并配置闲置、分散的资源以实现供需双方互利共赢的新型经济模式。本文重点研究了共享制造四种模式对于制造业高质量发展的机理与路径,研究发现,通过搭建中介型共享平台、众创型共享平台、服务型共享平台和协作型共享平台,使数字经济与制造业深度融合,促进了资源的高效利用,对制造业高端化、智能化、绿色化发展具有重要意义。但我国共享制造在数字化支撑能力、平台参与度、信息透明度、法律体系等方面还存在一系列问题,为此,我国要筑牢数字技术支撑、发挥平台的牵引作用、充分利用区块链优势、加强政策激励和法律保障。
Shared manufacturing is a new economic model based on information technology that integrates and configures idle and dispersed resources to achieve mutually beneficial cooperation between supply and demand. This paper focuses on the study of the mechanisms and paths by which the four modes of shared manufacturing promote the high-quality development of the manufacturing industry. The study found that by building intermediary-type shared platforms, crowd-creation-type shared platforms, service-type shared platforms, and cooperative-type shared platforms, the deep integration of the digital economy and manufacturing industry has been promoted, and efficient utilization of resources has been improved. This is of great significance for the high-end, intelligent, and green development of the manufacturing industry. However, there are still a series of problems in the digital support capability, platform participation, information transparency, and legal system of China’s shared manufacturing. Therefore, China needs to strengthen digital technology support, play the leading role of platforms, make full use of the advantages of blockchain technology, and strengthen policy incentives and legal protections.
多平台组合赋能的演化及作用机理——基于海尔集团卡奥斯平台的案例研究
Evolution and Mechanism of Multi-Platform Combination Enabling—A Case Study Based on Haier Group’s Kaos Platform
 [PDF]


E-Commerce Letters (ECL) , 2025, DOI: 10.12677/ecl.2025.141221
Abstract: 数字经济时代,多元化战略是制造企业赋能异质性领域、拓展新增长空间的重要策略。传统多元策略以供给端为着力点实现供应商与用户之间的线性价值传递。而平台是数字经济时代价值共创的核心节点,多平台组合赋能是企业新的价值增长点,能够促进平台生态中商品提供者、互补者、最终用户等生态用户群之间的直接交互实现价值共创。基于此,本文以海尔卡奥斯平台为案例研究对象,将工业互联网平台的演化分为平台嵌入、平台聚合和平台协同三个阶段,分别对中小制造企业进行了结构赋能、数据赋能和生态赋能。研究结论能够丰富为多平台战略和组合赋能的相关研究,为数字经济背景下的制造企业依托工业互联网平台赋能中小制造企业提供借鉴意义。
In the era of digital economy, diversification strategy is an important strategy for manufacturing enterprises to enable heterogeneity and expand new growth space. The traditional multi-strategy focuses on the supply side to realize the linear value transfer between the supplier and the user. The platform is the core node of value co-creation in the era of digital economy, and the multi-platform combination enabling is a new value growth point for enterprises, which can promote the direct interaction among ecological user groups such as commodity providers, complementators and end users in the platform ecosystem to achieve value co-creation. Based on this, this paper takes the Helkaos platform as the case study object, divides the evolution of industrial Internet platform into three stages: platform embedding, platform aggregation and platform collaboration, and carries out structural empowerment, data empowerment and ecological empowerment for small and medium-sized manufacturing enterprises respectively. The research conclusions can enrich the relevant research on multi-platform strategy and combination empowerment, and provide reference for manufacturing enterprises to empower small and medium-sized manufacturing enterprises based on industrial Internet platform under the background of digital economy.
求解云计算资源调度的免疫算法
Research on Resource Scheduling Model and Algorithms of Cloud Computing
 [PDF]

刘天,,, 刘佳
Operations Research and Fuzziology (ORF) , 2019, DOI: 10.12677/ORF.2019.94036
Abstract:
随着信息社会的飞速发展,云计算不断渗入各界领域,成为处理海量信息数据的主要方式。任务调度问题是云计算研究的核心,其算法的效率对平台用户任务的执行效率和系统资源的使用效率起着决定性作用。本文针对云计算的资源调度问题,提出了一种基于人工免疫理论的云计算动态的任务调度算法。实验结果表明,本文提出的免疫算法能够有效提高云计算资源调度的效率。
With the rapid development of the information society, cloud computing has been infiltrating into all walks of life, becoming the main way to deal with massive information data. Task scheduling is the core of cloud computing research, and the efficiency of its algorithm plays a decisive role in the execution efficiency of platform users’ tasks and the utilization efficiency of system resources. Aiming at the resource scheduling problem of cloud computing, this paper proposes a dynamic task scheduling algorithm based on artificial immune theory for cloud computing. The experimental results show that the immune algorithm is able to effectively improve the efficiency of cloud computing resource scheduling.
昆明市烤烟大田生育期气温降水的变化特征分析
Analysis on the Variation Characteristics of Temperature and Precipitation during the Growth Period of Tobacco Fields in Kunming City
 [PDF]

邓祥, 鲁敏,,
Hans Journal of Agricultural Sciences (HJAS) , 2025, DOI: 10.12677/hjas.2025.154048
Abstract: 本文基于昆明市烟叶主种植县(区、市)烤烟种植实际,用气候倾向变化趋势、相关性和距平分析等统计方法,首次对昆明市烟叶主种植区近63年(1961~2023年),烤烟大田生育期(4月下旬至9月上旬)的气温和降水,分各不同生育期做气温和降水的历史演变及变化趋势分析。结果表明,昆明市烤烟主种植区气温呈显著的上升趋势变化,上升变化倾向率0.018℃/a,通过了(P > 0.01)相关性检验,降水量总体呈微减少趋势变化,变化趋势不显著,未通过(P > 0.10)相关性检验;年代降雨日数呈显著性减少趋势变化,一般性降雨日数的变化不显著,1981~1990降水日数最少。最近30多年大雨、暴雨的降水日数呈较明显增多变化,降水强度和极端性倾向突出。气温距平和K-M曲线突变交汇分析,突变出现的2007年以后,突变发生后气温上升变化显著;降水量K-M曲线出现了5次交汇,2008年后,变化显著;气温“两头低、中间高”,降水前期少,中间适当多,后期少雨的变化特征与清香云烟对气候生境的要求高度吻合。
Based on the actual tobacco cultivation in the main tobacco-growing counties (districts and cities) of Kunming City, this paper uses statistical methods such as climate tendency change trends, correlation analysis, and anomaly analysis to conduct a historical evolution and change trend analysis of temperature and precipitation during the field growth period of flue-cured tobacco (from late April to early September) in the main tobacco planting areas of Kunming City over the past 63 years (1961~2023). The results show that the temperature in the main tobacco planting areas of Kunming City has shown a significant upward trend, with an increasing trend rate of 0.018?C/a, which has passed the (P > 0.01) correlation test. The total precipitation shows a slightly decreasing trend, but the change is not significant and has not passed the (P > 0.10) correlation test. The number of days with rain has shown a significant decreasing trend, while the number of days with general rainfall has not changed significantly. The number of days with precipitation was the least during 1981~1990. In the past 30 years or so, the number of days with heavy rain and rainstorms has increased significantly, with a prominent tendency towards increased precipitation intensity and extreme weather. The anomaly analysis and K-M curve intersection analysis of temperature and precipitation show that a significant mutation occurred after 2007. After the mutation, the temperature increase was significant, and the K-M curve of precipitation intersected five times. After 2008, the change was significant. The temperature pattern of “low at both ends and high in the middle”, and the precipitation pattern of “less in the early stage, appropriate in the middle stage, and less in the late stage” are highly consistent with the climatic habitat requirements of the fragrant Yunnan tobacco.
应用DFIG-PSS改善电力系统低频振荡
,边晓
- , 2015, DOI: 10.3969/j.issn.1006-4729.2015.04.008
Abstract: 在双馈异步风力发电机组中加装电力系统稳定器(DFIG-PSS)以提高系统阻尼,并分析了DFIG-PSS抑制低频振荡的原理,总结了4种典型的PSS模型和不同DFIG的控制方案下DFIG-PSS的输出接口位置,以及DFIG-PSS的输入信号.通过在含DFIG风电场的3机9节点系统中的仿真分析,表明DFIG-PSS对区域内振荡和区间振荡均有改善效果,且DFIG-PSS安装位置的不同,对低频振荡的改善程度也存在差异.;A power system stabilizer is installed in doubly-fed induction generator for improving power system damping. The principle of suppressing low frequency oscillation of DFIG-PSS is analyzed. Four kinds of typical PSS model as well as output interface location of DFIG-PSS under different control scheme of DFIG and input signals of the DFIG-PSS are summed up. Finally, through the simulation analysis, the intra-area oscillation and inter-area oscillation are improved through DFIG-PSS being verified, and various installation positions of DFIG-PSS have different degrees of improvement for low-frequency oscillation
骨髓瘤相关性肾轻链淀粉样变1例
张晶,
- , 2018,
Abstract:
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