基于COSMO-SAC模型对离子液体选择性的预测

以水,1,4二氧六环,丙酮,正己烷,1-辛醇,环己烷,苯以及离子液体的σprofile计算结果为基础,采用COSMO-SAC模型对各种两相系统的活度系数进行计算,以预测相平衡。预测了环己烷、苯、对二甲苯、间二甲苯和邻二甲苯在离子液体1-乙基-3-甲基咪唑四氟硼酸盐[Emim][BF_4]和1-丁基-3-甲基咪唑二氰胺盐[Bmim][(CN)_2N]中的无限稀释活度系数,为选择合适离子液体分离脂肪烃/芳香烃混合体系,对二甲苯/间二甲苯混合物,对二甲苯/邻二甲苯混合物提供依据。     

2001年《电脑技术》总目录

电脑风景线对多线程下载技术的再思考 １－（４）内存价格己近探底,行家建议： 该出手时就出手 １－（５）ＣｙｂｅｒＩＱ Ｓｙｓｔｅｍｓ ──让你的网络系统更聪明 １－（６）ＰＣ市场：回顾２０００ 展望２００１ ２－（４）品牌机、兼容机,还是组装机 ２－（５）主旋律依然是购并 ３－（４）反“ｅ”大联盟 ３－（５）我看网络“发展的极限” ３－（５）３Ｇ“钱”途渺茫 ３－（６）《三十六记》之ＪＳ篇 ４－（６）我看套餐收费计划 ４－（７）借助Ｉｎｔｅｒｎｅｔ的互动电视 ４－（８）芯片组的未来之王 ５－（６）今年网上广告流…     

关于最小广播图研究

广播是网络上信息的传播过程。在这个过程中一个结点将信息传给所有其他的结点。本文确定Ｂ（１９）的值。另外还给出Ｂ（２－＾ｋ－ｊ），ｊ＝１，２，３，４的下界，并确定Ｂ（２＾５－１）和Ｂ（２＾５－２）的值。     

《自动化仪表》2000年度总目次

综述·专题世纪之交的自动化仪表──检测仪表与执行器的技术进展　吴钦炜１（１～４）从ＩＮＴＥＲＫＡＭＡ’９９看现场总线　孙国林　梁怀喜　１（５～７）现场总线的发展趋势　范铠２（１－４）从Ｉｎｔｅｒｋａｍａ’９９看自动化技术发展的三个趋向　彭瑜３（１～４）电子衡器的分类及其发展动向　顾瑞良３（５～７）消耗型光纤辐射温度计的新动向　王魁汉　邓洪君４（１～３）现场总线设备管理技术　唐鸿儒等５（１～４）现场总线技术的最新进展　缪学勤６（１～４）现场总线技术的最新进展（续完）　缪学勤７（１～２）基于ＷＷＷ的…     

声卡知识小集

１声卡的的作用声卡是多媒体系统的标准配置。安装声卡有以下作用：（１）玩电子有声游戏；（２）运行多媒体有声教学软件，如各种有声电子词典及ＣＤ－ＲＯＭ版英语读物；（３）解说，同时播放背景音乐；（４）语音识别，实现人机对话；（５）计算机网上的电话、电视会议...     

投影机专题调查结果

调查时间：２月～３月　有效反馈：６００份１．你选择投影机时考虑的因素有哪些（按重要性由高到低排列）：（１）价格（２）亮度（３）分辨率（４）品牌（５）售后服务（６）重量（７）其他２．是否有投影机：（１）无（７０％）（２）有（３０％）３．计划购买投影机的时间：（１）３月以内（２）半年以内（３）１年以内（４）无计划４．你所在单位投影机的主要用途：（１）外出演示（２）内部介绍（３）工作交流（４）其他５．你最想购买的投影机品牌：（１）富可视（２）ＮＥＣ（３）Ｓｈａｒｐ（４）ＡＣＥＲ（５）Ｐｈｉｌｉｐｓ（６…     

基于UNIFAC模型的碳酸二甲酯-甲醇-恒沸剂三元体系汽液平衡数据的推算

运用Visual Basic计算机语言，用UNIFAC方程模拟推算了碳酸二甲酯－甲醇－恒沸剂（分别为正己烷、环己烷、正庚烷、正辛烷）三元体系在常压下的汽液平衡。为采用恒沸精馏法分离DMC与甲醇共沸体系提供了汽液平衡数据。     

过程流程模拟

对８０年代以来流程模拟技术的国内外发展现况进行了综合评述。评述按以下５个专题进行：（１）稳态流程模拟；（２）最优化（离线和在线优化）；（３）现有工厂技术改造的模拟优化；（４）动态流程模拟；（５）计算机技术进步的影响。为了便于读者深入研究，附有近期主要参考文献３５篇。     

钴臬合金镀层磷酸根离子敏感电极研究

新型敏感材料研究将在助于探索新的敏感特性和机理。用硫酸镍、硫酸钴紫铜基体工作表面，制备了钴镍合金磷酸根离子敏感电极。结果表明，镀钴电极的响应斜率约为５１ｍＶ／ｄｅｃ，线性范围为１０＾－５￣１０＾－２ｍｏｌ·Ｌ＾－１；当电极表面钴镍合金的比例（Ｎｉ／Ｃｏ）为３／２和２／３时，响应斜率分别为３７ｍＶ／ｄｅｖ和４１ｍＶ／ｄｅｃ。线性响应范围为１０＾－４￣１０＾０１ｍｏｌ·Ｌ＾－１［Ｈ２ＰＯ４＾－］。实验     

三诺LA-3000音箱使用测试报告

作为一套２．１声道多媒体有源音箱,在目前的市场上已不是什么新鲜话题了,２．１系统也已经基本定型,那么这款三诺ＬＡ－３０００音箱又有哪些特点使自身能够独树一帜,吸引人们目光的呢？１厂方指标 系统组成： １）超低音音箱一个 ２）左右声道超薄音箱各一个 ３）模拟音量控制盒一个 ４）说明书（含保修卡）一份 ５）信号输入线一根 技术规格： 输出功率： ５ｗ×２＋１５ｗ（ｒｍｓ） 扬声器单元：３“ｘ２＋５．２５”超低音（防磁） 频响：超低音３０ＨＺ－１８０ＨＺ 左右声道１５０ＨＺ－１８ＫＨＺ 分离度：大于等于４５ｄＢ 灵…     

脊波网络的碳通量预测

碳通量（FC）作为全球二氧化碳循环与排放的重要指标,同各种生态因素有着密切的关系,因此可以通过各种生态因素预测碳通量,但迄今还缺乏有效的预测方法。研究脊波和神经网络结合的模型在碳通量预测中的应用,利用脊波处理碳通量数据的超平面奇异特性,从隐含层节点个数、误差、相关性等方面和小波网络进行了比较。实验结果表明,所采用的模型隐含层节点个数更少,拟合精度更高,预测能力更强,收敛速度更快。     

基于语法信息的汉语韵律结构预测

韵律结构的预测, 主要包括短语的自动切分和重音的等级分布两个大的方面。本文在概述汉语韵律结构的基础上, 根据从自然话语中获得的韵律结构与句法结构和词性的关系, 用一种新的方法,通过文本分析,全面地预测韵律边界的位置分布及其等级差异,并进一步预测重音的位置分布及其等级差异。     

Control flow prediction schemes for wide-issue superscalarprocessors

In order to achieve high performance, wide-issue superscalar processors have to fetch a large number of instructions per cycle. Conditional branches are the primary impediment to increasing the fetch bandwidth because they can potentially alter the flow of control and are very frequent. To overcome this problem, these processors need to predict the outcome of multiple branches in a cycle. This paper investigates two control flow prediction schemes that predict the effective outcome of multiple branches with the help of a single prediction. Instead of considering branches as the basic units of prediction, these schemes consider subgraphs of the control flow graph of the executed program as the basic units of prediction and predict the target of an entire subgraph at a time, thereby allowing the superscalar fetch mechanism to go past multiple branches in a cycle. The first control flow prediction scheme investigated considers sequential block-like subgraphs and the second scheme considers tree-like subgraphs to make the control flow predictions. Both schemes do a 1-out-of-4 prediction as opposed to the 1-out-of-2 prediction done by branch-level prediction schemes. These two schemes are evaluated using a MIPS ISA-based 12-way superscalar microarchitecture. An improvement in effective fetch size of approximately 25 percent and 50 percent, respectively, is observed over identical microprocessors that use branch-level prediction. No appreciable difference in the prediction accuracy was observed, although the control flow prediction schemes predicted 1-out-of-4, outcomes     

一种基于区域海表面温度异常预测的ENSO预报深度学习模型

本文通过实验,从设计的四种深度学习网络模型中挑选出一种可以用来预测区域海平面温度异常 (SSTA) 的模型——序列到序列 (Seq2Seq) 模型,并确定了适合于此模型的一组最优的超参数 (编码器使用正序输入、不使用 L2 正则化和使用 Adam 优化器) 和输入变量个数。与传统的动力学 ENSO 预报模型相比,该模型在中长期 (提前 7 个月以上) 预测上的均方根误差 (RMSE) 表现要更好。在实际的 SSTA (Niño3.4 指数) 预测实验中,该模型可以较好地预测出 SSTA 变化趋势,但在峰值处表现较差。与其他动力学和统计模型相比,该模型有较好的预测结果。因此,考虑其在中长期优于动力学模型的表现以及整体较好的预测结果,该模型可以作为一种 ENSO 预报以及区域 SSTA 预测的深度学习模型。     

基于卫星遥感预测作物成熟期的可行性分析

精准收获是精准农业的重要环节,首先分析了收获时间对作物产量与品质的影响,论述了作物成熟期监测的重要性,然后从气象统计模型、作物生长模型及遥感监测3个方面回顾了作物成熟期预测的研究进展。在此基础上,通过对目前主要作物成熟状态指示因子遥感监测研究进展的分析,认为在当前新型传感器不断涌现的条件下,利用卫星遥感预测大范围作物成熟期、制订收割顺序并指导农业生产的条件已经成熟。并指出研究面向遥感的作物成熟期指示因子及其变化规律,发展高精度的作物冠层叶绿素及水分含量的遥感估算方法,研究面向农田尺度动态监测的高时空分辨率数据集构建技术和多种模型的耦合将成为该领域未来的研究重点。     

即时软件缺陷预测研究进展

软件缺陷预测一直是软件工程研究中最活跃的领域之一,研究人员己经提出了大量的缺陷预测技术,根据预测粒度不同,主要包括模块级、文件级和变更级（change-level）缺陷预测.其中,变更级缺陷预测旨在于开发者提交代码时,对其引入的代码是否存在缺陷进行预测,因此又被称作即时（just-in-time）缺陷预测.近年来,即时缺陷预测技术由于其即时性、细粒度等优势,成为缺陷预测领域的研究热点,取得了一系列研究成果;同时也在数据标注、特征提取、模型评估等环节面临诸多挑战,迫切需要更先进、统一的理论指导和技术支撑.鉴于此,从即时缺陷预测技术的数据标注、特征提取和模型评估等方面对近年来即时缺陷预测研究进展进行梳理和总结.主要内容包括：（1）归类并梳理了即时缺陷预测模型构建中数据标注常用方法及其优缺点;（2）对即时缺陷预测的特征类型和计算方法进行了详细分类和总结;（3）总结并归类现有模型构建技术;（4）总结了模型评估中使用的实验验证方法与性能评估指标;（5）归纳出了即时缺陷预测技术的关键问题;（6）最后展望了即时缺陷预测的未来发展.     

云平台任务资源使用状态预测分析研究

预测任务的资源使用状况是提高云平台资源使用率的重要手段之一.然而云计算平台资源使用的动态性、不确定性和突变性使得预测效果有限.为了提高云平台任务的资源使用率预测性能,本文做了如下工作:1)详细地分析了当前主流云平台的资源使用情况,提炼了云平台任务的资源使用特征;2)根据云平台的特点设计了适合任务的资源使用预测性能评价函数PEFOT(Performance Evaluation Function fOr Tasks,PEFOT);3)设计并实现了一种云平台任务的资源使用率预测方法 REPOTASK(REsource Prediction method fOr TASKs,REPO-TASK).使用Google云平台数据集进行了实验,结果表明,相对于目前已经提出的任务资源使用率预测模型BP和LSTM,REPO-TASK方法具有更好的预测性能,PEFOT值平均下降了3. 2591.     

Artificial neural network model for predicting protein subcellular location.

The function of a protein is closely correlated to its subcellular location. Is it possible to utilize a bioinformatics method to predict the protein subcellular location? To explore this problem, proteins are classified into 12 groups (Protein Eng. 12 (1999) 107-118) according to their subcellular location: (1) chloroplast, (2) cytoplasm, (3) cytoskeleton, (4) endoplasmic reticulum, (5) extracellular, (6) Golgi apparatus, (7) lysosome, (8) mitochondria, (9) nucleus, (10) peroxisome, (11) plasma membrane and (12) vacuole. In this paper, the neural network method was proposed to predict the subcellular location of a protein according to its amino acid composition. Results obtained through self-consistency, cross-validation and independent dataset tests are quite high. Accordingly, the present method can serve as a complement tool for the existing prediction methods in this area.     

A finger motion model for reach and grasp

This study aimed to develop a model that describes human finger motion for simulation of reach and grasp for selected objects and tasks. Finger joint angles and timing of their changes were measured for six subjects as they reached 20-40 cm and grasped cylindrical handles (1.3-10.2 cm D) of varying orientation (vertical/axial). The empirical results from multiple regression analyses served as inputs to allow a fourth order polynomial to predict motion of each finger joint. The proposed model showed good fit with observations, with high coefficients of determination from 0.54 to 1 and reasonable errors from 0.04° to 5.44° for all conditions considered. The proposed finger motion model was implemented in an existing kinematic hand model to employ a contact algorithm for refined prediction of grip posture and to illustrate its predictive power by graphically displaying the opening and closing of the hand.

Relevance to industry

Finger joint motions during reach and grasp are needed for prediction of (1) tendon excursions for study of work-related musculoskeletal disorders, (2) required space for the hand, (3) finger locations on work objects, and (4) hand grip postures and strength.     

On the performance of trace locality of reference

In this paper, trace locality of reference (LoR) is identified as a mechanism to predict the behavior of a variety of systems. If two objects were accessed nearby in the past and the first one is accessed again, trace LoR predicts that the second one will be accessed in near future. To capture trace LoR, trace graph is introduced. Although trace LoR can be observed in a variety of systems, but the focus of this paper is to characterize it for data accesses in memory management systems. In this field, it is compared with recency-based prediction (LRU stack) and it is shown that not only the model is much simpler, but also it outperforms recency-based prediction in all cases. The paper examines various parameters affecting trace LoR such as object size, caching effects (address reference stream versus miss address stream), and access type (read, write, or both). It shows that object size does not have meaningful effects on trace LoR; in average the predictability of miss address stream is 30% better than address reference stream; and identifying access type can increase predictability. Finally, two enhancements are introduced to the model: history and multiple LRU prediction. A main contribution of this paper is the introduction of the n-stride prediction¹. For a prediction to be useful, we should have sufficient time to load the object, and n-stride prediction shows that trace LoR can predict an access far ahead from its occurrence.