Technical Regulations on Cleaning Processing of Feeding Millet Seeds in Hebei Province

According to many years of experimental summary, the technical demands, process control, seed test, seed quality and work record （ledger management） of cleaning processing of feeding millet seeds in Hebei Province were studied, and specific measures and technical indicators of the technical regulations were analyzed to provide normalized, standardized, industrial and marketization technical support for the cleaning processing of feeding millet seeds.

ON-LINE PROBLEMS OF MINIMIZING MAKESPAN ON A SINGLE BATCH PROCESSING MACHINE WITH NONIDENTICAL JOB SIZES

The on-line problem of scheduling on a batch processing machine with nonidentical job sizes to minimize makespan is considered. The batch processing machine can process a number of jobs simultaneously as long as the total size of these jobs being processed does not exceed the machine capacity. The processing time of a batch is given by the longest processing time of any job in the batch. Each job becomes available at its arrival time, which is unknown in advance, and its processing time becomes known upon its arrival. The paper deals with two variants： the case only with two distinct arrival times and the general case. For the first case, an on-line algorithm with competitive ratio 119/44 is given. For the latter one, a simple algorithm with competitive ratio 3 is given. For both variants the better ratios can be obtained if the problem satisfies proportional assumption.

Modeling of Microstructure Evolution and Mechanical Properties of Steel Plates Produced by Thermo-Mechanical Control Process and Its On-line Application

An integrated metallurgical model was developed to predict microstructure evolution and mechanical properties of low-carbon steel plates produced by TMCP. The metallurgical phenomena occurring during TMCP and mechanical properties were predicted for different process parameters. In the later passes full recrystallization becomes difficult to occur and higher residual strain remains in austenite after rolling. For the reasonable temperature and cooling schedule, yield strength of 30 mm plain carbon steel plate can reach 310 MPa. The first on-line application of prediction and control of microstructure and properties (PCMP) in the medium plate production was achieved. The predictions of the system are in good agreement with measurements.

Process Auxiliary Decision-making Based on Rough Sets and Regulation Distance Computing

Computer aided process planning（CAPP） is an important content of computer integrated manufacturing, and intelligentizing is the orientation of development of CAPP. Process planning has characters of empirical and time-consuming to finalize, and the same technical aim always can be achieved by different process schemes, so intelligentizing of process decision making always be a difficult point of CAPP and computer integrated manufacturing （CIM）. For the purpose of intelligent aided process decision making and reuse of process resource, this paper proposed a decision making method based on rough sets（RS） and regular distance computing. The main contents and methods of process planning decision making are analyzed under agile response manufacturing environment, the concept of process knowledge granule is represented, and the methods of process knowledge granule partitioning and granularity analysis are put forward. Based on the theory of RS and combined the method of process attributes importance identification, the paper brought forward a computing model for process scheme regulation distance under the same attribute conditions, and conflict resolution strategy was introduced to acquire process scheme fit for actual situation of enterprise＇s manufacturing resources, so as to realize process resources＇ conflict resolution and quick excavate and reuse of enterprises＇ existing process knowledge, to advance measures of process decision making and improve the rationality and capability of agile response of process planning.

On-line Batch Process Monitoring and Diagnosing Based on Fisher Discriminant Analysis

A new on-line batch process monitoring and diagnosing approach based on Fisher discriminant analysis （FDA） was proposed. This method does not need to predict the future observations of variables, so it is more sensitive to fault detection and stronger implement for monitoring. In order to improve the monitoring performance, the variables trajectories of batch process are separated into several blocks. The key to the proposed approach for on-line monitoring is to calculate the distance of block data that project to low-dimension Fisher space between new batch and reference batch. Comparing the distance with the predefine threshold, it can be considered whether the batch process is normal or abnormal. Fault diagnosis is performed based on the weights in fault direction calculated by FDA. The proposed method was applied to the simulation model of fed-batch penicillin fermentation and the resuits were compared with those obtained using MPCA. The simulation results clearly show that the on-line monitoring method based on FDA is more efficient than the MPCA.

Two simple memristive maps with adaptive energy regulation and digital signal process verification

Mathematical models can produce desired dynamics and statistical properties with the insertion of suitable nonlinear terms,while energy characteristics are crucial for practical application because any hardware realizations of nonlinear systems are relative to energy flow.The involvement of memristive terms relative to memristors enables multistability and initial-dependent property in memristive systems.In this study,two kinds of memristors are used to couple a capacitor or an inductor,along with a nonlinear resistor,to build different neural circuits.The corresponding circuit equations are derived to develop two different types of memristive oscillators,which are further converted into two kinds of memristive maps after linear transformation.The Hamilton energy function for memristive oscillators is obtained by applying the Helmholz theorem or by mapping from the field energy of the memristive circuits.The Hamilton energy functions for both memristive maps are obtained by replacing the gains and discrete variables for the memristive oscillator with the corresponding parameters and variables.The two memristive maps have rich dynamic behaviors including coherence resonance under noisy excitation,and an adaptive growth law for parameters is presented to express the self-adaptive property of the memristive maps.A digital signal process(DSP)platform is used to verify these results.Our scheme will provide a theoretical basis and experimental guidance for oscillator-to-map transformation and discrete map-energy calculation.

Towards On-line Automated Semantic Scoring of English-Chinese Translation

Described and exemplified a semantic scoring system of students' on-line English-Chinese translation. To achieve accurate assessment, the system adopted a comprehensive method which combines semantic scoring with keyword matching scoring. Four kinds of words-verbs, adjectives, adverbs and "the rest" including nouns, pronouns, idioms, prepositions, etc., are identified after parsing. The system treats different words tagged with different part of speech differently. Then it calculated the semantic similarity between these words of the standard versions and those of students' translations by the distinctive differences of the semantic features of these words with the aid of HowNet. The first semantic feature of verbs and the last semantic features of adjectives and adverbs are calculated. "The rest" is scored by keyword matching. The experiment results show that the semantic scoring system is applicable in fulfilling the task of scoring students' on-line English-Chinese translations.

On-line monitoring of insulation quality of high voltage electric power equipment

Discusses on-line monitoring of electric parameters, such as dielectric loss, divulging current, equivalent capacitance and running voltage, and presents an on-line monitoring system of insulation quality, based on monitoring divulging current and dielectric loss of high voltage equipment, and its advantages, such as helping people to discover the hidden problems in a timely manner, to reduce power cut and overhaul and to improve security of power supply.

An On-line Assessment System for English-Chinese Translation

On-line assessment of English-Chinese translation is a challenging task as it involves natural language processing.YanFa,an on-line assessment system for English-Chinese translation,is a pilot research project into scoring student's translation on-line.Based on the theory of translation equivalence,an algorithm called "conceptual similarity matching" was developed.YanFa can assess students' translation on-line timely,generate test papers automatically,offer standard versions of translation,and the scores of each sentence to students.The evaluation proves that YanFa is practical compared with the scores given by experts.

On-line Scheduling Algorithm for Penicillin Fed-batch Fermentation

An on-line scheduling algorithm to maximize gross profit of penicillin fed-batch fermentation is proposed. According to the on-line classification method, fed-batch fermentation batches are classified into three categories. Using the scheduling strategy, the optimal termination sequence of batches is obtained. Pseudo on-line simulations for testing the proposed algorithm with the data from industrial scale penicillin fermentation are carried out.

Assembling structurally customizable synthetic carriers of si RNA through thermodynamically self-regulated process

This study demonstrates that our previously reported polywraplex, a synthetic siRNA carrier consisting of a uni-molecular polyplex core of customizable size and a self-assembled triblock copolymer envelop, may be constructed using dendrimers as the crosslinking junctions. Replacing the branched low molecular weight PEI with polyamidoamine(PAMAM) dendrimer in the zeta potential regulated polymerization resulted in the similar network structured cationic polymer with electron microscopically visible crosslinking junctions. This visibility may offer a convenient way to characterize the molecular structure of the rationally designed networked siRNA-packing cationic polymer without altering its chemical properties and biologic functions. A series of physical-chemical characterizations and biological assays, comprising size, zeta potential, pre-phagocytic siRNA leaking and degradation, and silencing of functional genes, confirmed that the advanced properties of polywraplexes remained with the dendrimer junctions. Although sixth generation PAMAM dendrimer was used as the crosslinking junctions in the size-customizable polymerization for electron microscopic observation, lower generation dendrimer should also work in case more practical and structurally defined cationic polymer is needed.

个人信息的内生安全机制及其实现

个人信息处理的技术性、隐蔽性,使自上而下的“命令式”监管范式失效。数字时代,个人信息治理的重点是防止个人信息处理者滥用数据权力威胁国家安全、盘剥和操控个体。为有效控制数据权力这一风险源,国家应当督促个人信息处理者建立健全涵盖制度保障、组织程序保障的个人信息内生安全机制。通过监管激活个人信息处理者内部的自我规制机制,增强其内部的组织控制和行为规范化程度,消减个人信息处理的负外部性,实现个人信息处理的正和博弈。通过监管督促个人信息处理者强化内部治理机制,严格落实个人信息保护影响评估制度,遵从“三同步”要求将个人信息保护法规定的各项义务嵌入产品“代码”中,防控个人信息处理过程中妨害个人自主性、减损人格尊严的风险。

品质导向的粮油食品精准加工分子基础与调控

粮油是国家最重要的战略物资,粮油食品产业在国民经济中起着基础作用,深度关系着国计民生和国民健康。粮食和油料中营养组分丰富及其多尺度结构复杂,且加工方式多变,进而影响粮油食品的感官、安全特性和消化吸收、营养健康效应。本文通过系统梳理粮油食品发展现状及产业战略意义,品质导向的粮油食品加工与制造发展现状及面临的挑战,提出从粮油食品的加工过程控制,营养组分多尺度结构变化与结构重构,多维度品质特性调控3个角度,系统解析基于品质导向的粮油食品精准加工的结构基础与调控机制,重点探讨粮油食品中主要营养组分的加工适应性、互作机制,粮油食品加工对感官品质、健康品质和安全品质等品质特性的影响,多维品质与加工过程构效关系与关联调控机制等制约粮油食品未来发展的研究方向,以期建立品质导向的粮油食品精准加工的理论基础、技术方法和新型绿色加工策略,为创制感官、安全和健康品质协同提升的营养健康粮油食品提供理论支撑,推动我国粮油食品加工产业的高质量发展。

水库拦沙对黄河下游河床演变的影响

为充分认识水库拦沙对其下游河道河床演变及防洪的影响,基于三门峡水库和小浪底水库拦沙期水沙及断面观测资料,研究了黄河下游河槽冲淤、洪水冲刷效率、河槽几何特征、排洪能力等规律。结果表明:水库拦沙期,黄河下游沿程河槽均发生了不均衡冲刷;河床粗化明显,粗化后床沙中值粒径最大值为冲刷前的2.1~2.5倍;高村以上河段同水位过洪能力增加明显,冲刷后较大的河槽容积可为小浪底水库排沙提供暂时的滞沙;河床粗化后细泥沙和中泥沙补给能力不足,河槽冲刷效率随冲刷历时的增加衰减明显。由于水库多年调节水沙过程及下游相对完善的河道整治工程约束,小浪底水库拦沙期黄河下游河槽冲刷重心下移,河床粗化程度增加,冲刷效率明显降低。研究成果可为水库水沙调控技术指标的选取提供科学依据。

侵犯个人信息行为的刑法全流程规制模式研究

在个人信息行为规制方面,我国前置法与刑法之间存在明显差异,前置法通过处理规则的设计实现了全流程规制,而刑法只能对部分不法处理行为进行惩治。此种规范格局导致法律难以衔接并形成刑法保护的盲区,不利于全面保护个人信息权益。对此,应提倡个人信息的刑法全流程规制模式,通过间接罪名适用法和法益量刑评价法对不同类型处理行为进行合理规制。通过理论维度和规范维度的证成,可以验证全流程规制模式具有可操作性。应当适用刑法合理规制非法收集行为和非法存储行为,保障前期阶段信息处理安全;适用刑法精准规制非法加工行为、非法使用行为和非法流转行为,保障中期阶段信息处理安全;运用刑法适度规制非法披露行为和非法删除行为,保障后期阶段信息处理安全。

摇臂连杆加工工艺与钻专夹设计

文章根据摇臂连杆的结构特点和技术要求,制订了该零件的机械加工工艺规程;在对定位装置、夹具装置及夹具体进行分析的基础上,设计并制造了用于第六道工序Φ35孔的钻孔专用夹具。应用结果表明,该夹具做到了加工精度保证、设计方案合理、结构简单实用,能有效提高摇臂连杆的加工质量及效率。

过程民主化自我革命:党的政治领导法规之共同体价值论

党的政治领导法规作为执政党在政治建设目标、方向上的革新性规范表达,旨在设定巩固政治领导所涉功能目标层面的自我革命事项,并往往外化至执政党领导下的依宪执政共同体来予以确证。可依循全过程人民民主功能目标定位下的过程民主化自我革命策略指引,从民主认同维度的共同体价值认同规范和民主创新维度的共同体价值创新规范这两个方面,来阐明党的政治领导法规的事项范围。共同体价值认同规范作为一种预设权威创制规范设定,具体指向实现价值层面宣示与教化的政治领导法规,以达到相应政治合法性基础的有机融合。共同体价值创新规范则作为一种预设权威变迁规范设定,具体指向实现价值层面形式与方法创新的政治领导法规,以切实推动执政党价值革新。基于此,应通过明晰这两个方面的规范事项表达要旨,来检视、固化全过程人民民主实践导向下人民民主与执政党领导的辩证统一。

酒中高级醇调控的研究进展

酒作为大众喜爱的饮品,人们对其需求量和品质的要求在不断提高。高级醇是酒中最主要的呈味物质之一,适量的高级醇可赋予酒体醇香的口感、增加酒体协调性,而高级醇含量过高或过低均会影响酒体的口感,当高级醇含量超过一定限度时还会对饮用者的身体健康造成损害。因此,调控酒中高级醇的含量及比例对有效提高酒体品质、促进酒产业健康发展具有重要意义。该文系统阐述酒中高级醇的形成机制,总结发酵工艺、酿酒酵母菌株以及菌株选育对高级醇的影响,旨在为酒工业化生产中高级醇精细化调控提供参考。

冷冻南极磷虾加工利用研究进展

冷冻南极磷虾是南极磷虾船载加工的主要产品之一,能够较好的保存热敏性活性物质,开发利用前景广阔。研究表明,冷冻南极磷虾的冻结、贮运、解冻及贮运期间温度波动等都会影响冷冻南极磷虾的品质和深加工利用。综述了冷冻南极磷虾加工技术、贮藏技术、品质评价、品质变化、解冻技术等方面的研究进展,探讨了影响其加工利用和品质的因素,分析了目前冷冻南极磷虾加工利用中存在的主要问题,最后展望了未来发展方向,以期为我国冷冻南极磷虾的加工贮运、品质控制、后续利用提供参考。

人工神经网络在实现猪精准饲养模式中的应用研究进展

目前,对集约化猪养殖中产生的大量生产数据的高效分析与合理运用是推动我国生猪产业精准化和智能化发展的关键步骤。人工神经网络(artificial neural network,ANN)的自学习、联想存储、高速寻找优化解等特征在进行大数据信息处理时具有显著优势,在猪生产领域具有极高的应用潜力。笔者以具有单隐藏层的三层误差反向传播前馈人工神经网络(back propagation-aritificial neural network BP-ANN)为代表,对ANN的结构特点及其在猪行为与健康监测、胴体性状与肉品质估测和猪生长速率调控与日粮原料营养价值预测等方面的应用成果进行综述,从生产管理和营养调控两方面展望ANN在未来猪精准饲养模式中的应用前景,为实现科学化、智能化和数字化管理模式下的猪精准养殖业提供理论参考。