新一代智能功率模块（IPM）基本原理及其控制IC原理分析

介绍了新一代智能功率模块（IPM）的基本功能、封装结构及电路结构,并且阐述了新一代IPM中控制IC的基本要求和工作原理。     

养猪文献题录（国内部分）

养猪文献题录（国内部分）１．猪导入生长激素基因的研究／魏庆信…（湖北农科院牧医所）／湖北农业科学，－１９９５，（６），６４～６９２．中国瘦肉猪新品系ＤＩＶ系肌肉品质测定／邓昌彦一（华中农业大学畜牧兽医学院）／／湖北农业科学，－１９９５，（６），７０～...     

报刊引证报告（1）

从2008年1月起，《计算机教育》杂志新开设了“报刊引证报告”栏目，其口的在于：（1）持续了解和分析专业教师在开展教育教学改革活动中，对相关学术刊物的阅读情况和关注程度：     

农业信息咨询管理系统（AICMS）

ＣＬＩＰＰＥＲ环境下开发的“农业信息咨询管理系统（ＡＩＣＭＳ）”，高效率控制与组织最新农业科技产品信息，提供了将农业部信息中心每天发布的信息进行转换处理功能，并为农、牧、渔业领域的生产经营者提供咨询和辅助决策方案。     

逆P（ρ（σ）,η（τ））-集合与其代数性质

将迁移的随机特性引入逆P-集合（ XˉF,XˉFˉ）,给出了逆P（ρ（σ）,η（τ））-集合的概念与结构;讨论了内逆P（ρ（σ）,η（τ））-集合与逆P-集合的关系,即逆P-集合是逆P（ρ（σ）,η（τ））-集合的特例,逆P（ρ（σ）,η（τ））-集合是逆P-集合的推广;给出逆P（ρ（σ）,η（τ））-集合的交集、并集、补集与差集四种运算,讨论了逆P（ρ（σ）,η（τ））-集合的代数性质。     

靠产品质量,更要靠服务──来自IPM和IBM的花絮

在计算机行业里，提起IBM应该说是无人不知；而在为计算机系统等提供高质量电源的UPS领域内，IPM这个品牌同样是无人不晓。IPM（美国国际电源机器公司）始创于1967年，是世界最大的三家大型UPS厂家之一。1972年，美国当届总统尼克松访华时，将IPM的UPS做为礼品赠送给了中国政府。时至今日，IPM在中国已经拥有了西昌卫星发射中心，西安卫星测控中心和机场、石化、公安等许多行业的重要用户。应该说，无论IPM还是IBM，它们能在中国取得巨大的发展，都有赖于自身产品的高质量及其为用户提供的优质服务，下面就是一起发生在IBM与I…     

硝烟后的法律思考（反垄断篇）

持续了3年多的“3Q大战”（奇虎360和腾讯QQ）终于落幕。近日，最高人民法院作出终审判决，驳回奇虎360的上诉，维持一审法院判决奇虎360对腾讯构成不正当竞争，并赔偿腾讯经济损失500万元。     

组合公钥（CPK）体制标准（V3.0）

组合公钥密码体制（CPK-Cryptosystem）是在椭圆曲线密码（ECC）上构建的基于标识的密码体制。CPK的组合密钥可由标识密钥和伴随密钥复合,或由标识密钥和分割密钥复合而成,组合密钥（Combined-Key）用（csk,CPK）标记。     

N（2,2,0）代数的（？,？Vq（λ,μ））-模糊正关联理想

对N （2,2,0）代数的正关联理想进行了详细的研究。提出了N （2,2,0）代数正关联理想的概念,讨论了正关联理想与理想、关联理想的关系;给出了N （2,2,0）代数广义（λ,μ）-模糊正关联理想和点态化模糊正关联理想的概念,讨论了两者之间的等价关系;给出了（？,？Vq（λ,μ））-模糊正关联理想的一些等价刻画,并研究了其相关性质。     

数字化阀门电动执行机构

论述了阀门电动执行机构的数字化控制器的设计与开发,应用数字信号处理器（DSP）作为控制系统的核心,采用智能功率模块（IPM）作为功率器件,控制策略采用直接转矩控制算法,给出了硬件和软件的选用和设计原则以及控制系统的流程图。     

DeCASA in AgriVerse: Parallel Agriculture for Smart Villages in Metaverses

The demand for food is tremendously increasing with the growth of the world population, which necessitates the development of sustainable agriculture under the impact of various factors, such as climate change. To fulfill this challenge, we are developing Metaverses for agriculture, referred to as AgriVerse, under our Decentralized Complex Adaptive Systems in Agriculture (DeCASA) project, which is a digital world of smart villages created alongside the development of Decentralized Sciences (DeSci) and Decentralized Autonomous Organizations (DAO) for Cyber-Physical-Social Systems (CPSSs). Additionally, we provide the architectures, operating modes and major applications of DeCASA in AgriVerse. For achieving sustainable agriculture, a foundation model based on ACP theory and federated intelligence is envisaged. Finally, we discuss the challenges and opportunities.      

全球经济一体化时代的农业可持续发展问题聚焦

在全球经济一体化和可持续发展思想的国际背景下 ,农业可持续发展由最初的学术思潮逐渐演变成为多数国家农业发展的基本战略 ,受到了人类社会的广泛认同。因此 ,农业可持续发展与农民可持续发展能力已成为发展中国家的农业在全球经济一体化时代中最值得关注的焦点。生物技术与农业可持续发展关系密切 ,如何在农业可持续发展的约束下 ,合理、科学而理性地发展以生物技术为核心的农业生产技术体系是促进农业可持续发展的核心问题。由于可持续发展在农业上广泛应用 ,“绿色壁垒”逐渐成为国际农产品贸易中发达国家对发展中国家设置进口障碍的贸易保护工具 ,如何在发达国家和发展中国家合理运用“绿色壁垒”是21世纪农产品贸易中出现的新问题     

Identifying crop water stress using deep learning models

Neural Computing and Applications - The identification of water stress is a major challenge for timely and effective irrigation to ensure global food security and sustainable agriculture. Several...     

基于AT89C52单片机的变量喷雾控制器设计

随着电子技术的迅速发展,单片机越来越广泛地应用到农业生产和自动控制领域,减小了人的劳动强度,提高了生产效率,促进了农业的可持续发展。文章主要研究了AT89C52单片机实现变量喷雾的工作原理和实现方案,重点阐述了该系统的硬件设计和软件编程。     

河北省设施蔬菜生产可持续发展问题的探讨

从农业可持续发展的观点，分析了河北省设施蔬菜生产、销售的现状及存在的问题，对今后的发展提出了相应的对策。     

小浪底库区坡地不同利用方式入渗规律与产流产沙特征研究

坡耕地水土流失已成为小浪底库区生态环境和农业可持续性发展所面临的一个重大问题。通过饱和入渗和模拟降雨试验,对不同退耕利用方式(撂荒坡地、造林幼林地、林草间作、农林间作)和传统坡耕地利用方式(坡耕地翻耕休闲、坡耕地翻耕后种植玉米)入渗规律与产流、产沙特征做了研究。结果表明:(1)退耕后坡面饱和入渗率均高于传统方式,其四种方式平均饱和入渗率是传统利用方式的1.48倍;撂荒坡地的饱和入渗率最高;同一坡面,坡底饱和入渗率高于坡中、上部。(2)初始产流时间,撂荒坡地、造林幼林地、林草间作、农林间作分别比翻耕种玉米延迟26.16min、14.89min、13.48min、6.01min,两种传统方式差别不大。持续产流时间退耕方式也长于传统方式。(3)传统方式径流总量是上述四种退耕方式的2~5倍,平均产流速率明显高于退耕方式;产沙总量是退耕方式的3~50倍左右,平均产沙速度是其的1.72~9.4倍;产沙、产流总量和与产流降雨历时密切相关。     

本科生教学质量监控系统管理与实践 ———以沈阳农业大学本科生教学质量监控系统为例

科学合理的教学质量监控系统是高等院校实现可持续发展的必要保障。高等农林院校本科生教学质量监控系统作为高等教 育教学质量监控系统的子系统,其反馈信息的时效性、反应问题的真实性以及监控过程的严密性,为繁杂、庞大和艰巨的教学质量 监控工程提供了极具参考价值的决策依据。以沈阳农业大学为例,从构建层次化、运作制度化、管理人性化、培养精英化、推进程序 化五个方面,推出了高等农林院校本科生教学质量监控系统管理与实践。     

Investigation of public’s perception towards rural sustainable development based on a two-level expert system

Sustainable development is of great significance in rural areas of China, which are under coupled pressures of poverty reduction, environmental protection and economic development. In these areas, agriculture is the primary sector in supporting their economies, where a number of the relevant production and processing practices cause many adverse impacts on environment and ecosystem. This poses many challenges for decision makers in formulating sustainable development strategies without invoking potential controversies or objections from the public. In this study, a two-level expert system (TES) for facilitating the investigation of public’s perception towards sustainable development in rural areas was developed. Interactive relationships among objectives of socio-economic development and environmental protection, as well as the related policy implications and public responses, were comprehensively examined and incorporated within TES. A two-level system was particularly adopted for facilitating participation of various stakeholders, including decision makers and farmers. The Yongxin County of the Shanjianghu Region in Jiangxi Province, China was selected to demonstrate the applicability of the developed TES. A series of questionnaire surveys were conducted both for acquiring knowledge about the interrelationships among sustainable development, agricultural production, poverty reduction and environmental protection. Public’s perception towards various system components of rural sustainable development were efficiently acquired and analyzed. The results indicated that sustainable development would be very significant on rural areas in China. Also, public awareness to the concept and profile of rural sustainable development was still at a low level, especially for farmers. The developed TES can be not only used for acquiring knowledge of sustainable development, but also providing basic information for the formulation of relevant policies and strategies in rural areas of China.     

Harris Hawks Optimizer with Graph Convolutional Network Based Weed Detection in Precision Agriculture

Precision agriculture includes the optimum and adequate use of resources depending on several variables that govern crop yield. Precision agriculture offers a novel solution utilizing a systematic technique for current agricultural problems like balancing production and environmental concerns. Weed control has become one of the significant problems in the agricultural sector. In traditional weed control, the entire field is treated uniformly by spraying the soil, a single herbicide dose, weed, and crops in the same way. For more precise farming, robots could accomplish targeted weed treatment if they could specifically find the location of the dispensable plant and identify the weed type. This may lessen by large margin utilization of agrochemicals on agricultural fields and favour sustainable agriculture. This study presents a Harris Hawks Optimizer with Graph Convolutional Network based Weed Detection (HHOGCN-WD) technique for Precision Agriculture. The HHOGCN-WD technique mainly focuses on identifying and classifying weeds for precision agriculture. For image pre-processing, the HHOGCN-WD model utilizes a bilateral normal filter (BNF) for noise removal. In addition, coupled convolutional neural network (CCNet) model is utilized to derive a set of feature vectors. To detect and classify weed, the GCN model is utilized with the HHO algorithm as a hyperparameter optimizer to improve the detection performance. The experimental results of the HHOGCN-WD technique are investigated under the benchmark dataset. The results indicate the promising performance of the presented HHOGCN-WD model over other recent approaches, with increased accuracy of 99.13%.     

Modelling sustainable international tourism demand to the Brazilian Amazon

The Amazon rainforest is one of the world's greatest natural wonders and holds great importance and significance for the world's environmental balance. Around 60% of the Amazon rainforest is located in the Brazilian territory. The two biggest states of the Amazon region are Amazonas (the upper Amazon) and Pará (the lower Amazon), which together account for around 73% of the Brazilian Legal Amazon, and are the only states that are serviced by international airports in Brazil's north region. The purpose of this paper is to model and forecast sustainable international tourism demand for the states of Amazonas, Pará, and the aggregate of the two states. By sustainable tourism is meant a distinctive type of tourism that has relatively low environmental and cultural impacts. Economic progress brought about by illegal wood extraction and commercial agriculture has destroyed large areas of the Amazon rainforest. The sustainable tourism industry has the potential to contribute to the economic development of the Amazon region without destroying the rainforest. The paper presents unit root tests for monthly and annual data, estimates alternative time series models and conditional volatility models of the shocks to international tourist arrivals, and provides forecasts for 2006 and 2007.