PPP项目建筑工程管理、施工质量及成本控制探讨

Taking the construction of PPP project of Guangzhou North Railway Station Comprehensive Transportation Hub as an example,the related measures of construction project quality management and cost control are discussed in detail,and it is hoped to have reference.

混凝土间接裂缝的分析和控制

本文针对混凝土自身变形所产生的裂缝,分析其产生的原因,阐述了控制技术措施。

Deep learning models semi-automatic training system for quality control of transthoracic echocardiography

Objective To explore the value of deep learning(DL)models semi-automatic training system for automatic optimization of clinical image quality control of transthoracic echocardiography(TTE).Methods Totally 1250 TTE videos from 402 patients were retrospectively collected,including 490 apical four chamber(A4C),310 parasternal long axis view of left ventricle(PLAX)and 450 parasternal short axis view of great vessel(PSAX GV).The videos were divided into development set(245 A4C,155 PLAX,225 PSAX GV),semi-automated training set(98 A4C,62 PLAX,90 PSAX GV)and test set(147 A4C,93 PLAX,135 PSAX GV)at the ratio of 5∶2∶3.Based on development set and semi-automatic training set,DL model of quality control was semi-automatically iteratively optimized,and a semi-automatic training system was constructed,then the efficacy of DL models for recognizing TTE views and assessing imaging quality of TTE were verified in test set.Results After optimization,the overall accuracy,precision,recall,and F1 score of DL models for recognizing TTE views in test set improved from 97.33%,97.26%,97.26%and 97.26%to 99.73%,99.65%,99.77%and 99.71%,respectively,while the overall accuracy for assessing A4C,PLAX and PSAX GV TTE as standard views in test set improved from 89.12%,83.87%and 90.37%to 93.20%,90.32%and 93.33%,respectively.Conclusion The developed DL models semi-automatic training system could improve the efficiency of clinical imaging quality control of TTE and increase iteration speed.

A HPLC Method for the Determination of Salmon Calcitonin in Injection by Gradient Elution

It was concluded that the described HPLC method could be used for the assayof salmon calcitonin in injection, as it offers qualified selectivity, accuracy and precision ofanalysis.

Study and Application of Fingerprints of Ginkgo biloba Leaves Preparations

Aim To establish a method for determination of Ginkgo biloba L, its extractand preparations with HPLC fingerprints, so as to control the quality of the preparations. MethodsHPLC-DAD method was used to determine the constituents in preparations. Diamonsil? C_(18) (200mm X 4.6 mm, 5 μm) was used as analytical column, and acetonitrile/KH_2PO_4 was used as mobilephase with gradient elu-tion. The column temperature was at 24 ℃. The HPLC profile of chemicalconstituents of control sample and preparations were analyzed using similarity software. Results Thefingerprints of different preparations from different companies were slightly different because ofthe different preparing procedures. Mean while, the fingerprints of different batches of the samepreparation from the same company were similar to each other and the technology of each preparationwas stable. Conclusion This method is accurate, reproducible , simple, and can be used as ananalytical method for the routine quality control of Ginkgo biloba preparations.

QUALITY ASSURANCE INFORMATION SYSTEM FOR AGILE MANUFACTURING

The customer driven dynamic global market and geographical distribution of collaborating partners bring new challenges to the development of quality assurance information system (QAIS) for agile manufacturing. With recent dramatic advances in information technology, firstly the requirements of QAIS are examined in agile manufacturing environment, then a new implementation framework of a distributed QAIS is presented, where a deve loping environment of QAIS is established and some critical techniques are studied. Finally a prototype system based on world wide web (WWW) is accomplished.

Admission Control Based on QoS for Third Generation Broadband Mobile Communication Systems

In this paper, a novel admission scheme is proposed which provides high degrees of quality of service (QoS) guarantees for multimedia traffic carried in mobile networks. The proposed scheme combines the admission control and bandwidth reservation to guarantee QoS requirements. It considers both local information and remote information to determine whether to accept or reject a connection. In order to embody the characteristics of the algorithms proposed in the article, two traditional algorithms of admission control are used for comparison. In the end of the paper the simulation analyses are given and the results show that the proposed algorithm can adjust the bandwidth according to the current status of networks and decrease the probability of connections forcibly dropped. The most important thing is that the algorithm is based on the multimedia communications and can guarantee the QoS of real time connections through decreasing the bandwidth of non real time connections.

AN INTRODUCTION TO NEW MULTIVARIATE DIAGNOSIS THEORY WITH TWO KINDS OF QUALITY AND ITS APPLICATIONS

In factory operations, the multi operation and multi index system is very common. In such a system, if we want to implement the quality control and diagnosis, we must consider the following two points, i.e. the influence on the preceding operation to the succeeding operation and the correlation among indices. Since these two points exist simultaneously, it makes the problem more complex. We need to use the new multivariate diagnosis theory with two kinds of quality proposed by Prof. Zhang Gongxu in 1996 to solve such complex problem. This paper presents its fundamental principles with practical applications which agree with the theory pretty well.

HiQoS:An SDN-Based Multipath QoS Solution

Today's Internet architecture provides only "best effort" services,thus it cannot guarantee quality of service(QoS) for applications.Software Defined Network(SDN)is a new approach to computer networking that separates control plane and forwarding planes,and has the advantage of centralized control and programmability.In this paper,we propose HiQoS that provides QoS guarantees using SDN.Moreover,HiQoS makes use of multiple paths between source and destination and queuing mechanisms to guarantee QoS for different types of traffic.Experimental results show that our HiQoS scheme can reduce delay and increase throughput to guarantee QoS.Very importantly,HiQoS recovers from link failure very quickly by rerouting traffic from failed path to other available path.

Identification and characterization of microRNAs in raw milk during different periods of lactation, commercial fluid, and powdered milk products

Recent baby formula milk powder contamination incidents have shown that the classic markers or standards in milk quality control are insufficient in identifying ＂manipulated＂ poor-quality milk. In the present study, we demonstrated for the first time that cow milk contains large amounts of microRNAs （miRNAs） and that the unique expression profile of milk-specific miRNAs can serve as a novel indicator and possible new standard for the quafity control of raw milk and milk-related commercial products, such as fluid milk and powdered formula milk. First, using Solexa sequencing, we systematically screened miRNA expression in raw milk and identified a total of 245 miR- NAs in raw milk. Unlike other classic biomarkers whose expression levels are nearly identical at different periods of lactation, individual miRNAs can be significantly altered during lactation process, implicating that miRNAs may be a more accurate indicator to reflect the quality alteration of milk. Second, using TaqMan probe-based miRNA quantitative RT-PCR, we further identified seven miRNAs that have a relatively consistent expression throughout the lactation process, and more importantly, the expression profile of these seven milk-specific miRNAs can serve as an ideal biomarker for discriminating poor-quality or ＂manipulated＂ milk from pure raw milk, as well as for the quality control of commercial milk products, such as fluid milk and powdered formula milk. Together, our findings provide a basis for understanding the physiological role of milk miRNAs and a new potential standard for determining the quality of raw milk or milk-related commercial products.

Just-in-time learning based integrated MPC-ILC control for batch processes

Considering the two-dimension(2 D) characteristic and the unknown optimal trajectory problem of the batch processes, an integrated model predictive control-iterative learning control(MPC-ILC) for batch processes is proposed in this paper. Firstly, the batch-axis information and time-axis information are combined into one quadratic performance index. It implies the integration of ILC and MPC algorithm idea, which leads to superior tracking performance and better robustness against disturbance and uncertainty. To address the problem of the unknown optimal trajectory, both time-varying prediction horizon and end product quality control are employed. Moreover, an integrated 2 D just-in-time learning(JITL) model is used to improve the predictive accuracy. Furthermore, rigorous description and proof are presented to prove the convergence and tracking performance of the proposed MPC-ILC strategy. The simulation results show the effectiveness of the proposed method.

PROGRESS OF MARINE METEOROLOGICAL OBSERVATION EXPERIMENT AT MAOMING OF SOUTH CHINA

The coastal area of southern China is frequently affected by marine meteorological disasters,and is also one of the key areas that influence the short-term climate change of China.Due to a lack of observational facilities and techniques,little has been done in this area in terms of operational weather monitoring and scientific research on atmospheric and marine environment.With the support of China Meteorological Administration (CMA) and Guangdong Meteorological Bureau (GMB),the Marine Meteorological Science Experiment Base (MMSEB) at Bohe,Maoming has been jointly established by Guangzhou Institute of Tropical and Marine Meteorology (GITMM) and Maoming Meteorological Bureau (MMB) of Guangdong Province after three years of hard work.It has become an integrated coastal observation base that is equipped with a complete set of sophisticated instruments.Equipment maintenance and data quality control procedures have been implemented to ensure the long-term,steady operation of the instruments and the availability of high quality data.Preliminary observations show that the data obtained by the MMSEB reveal many interesting features in the boundary layer structure and air-sea interaction in such disastrous weather as typhoons and sea fog.The MMSEB is expected to play an important role in the scientific research of disastrous weather related to marine meteorology.

GPS Real Time Supervisory System and Application in the Construction of Face Rockfill Dam

According to the quality control needs of filling construction of the face rockfill dam, by means of the global satellite positioning technology, the wireless data communication technology, the computer technology and the data processing and analysis technology, and integrating with the roller compaction machine, the GPS real time supervisory system is developed in this paper. It can be used to real timely supervise the construction quality of the roller compaction for filling engineering. The composition and applied characteristics of GPS system, and the key technique problem and solution of the design are discussed. The height accuracy of GPS system is analyzed and the preliminary application is introduced.

Studies on rice seed quality through analysis of a large- scale T-DNA insertion population

A rice （Oryza sativa） T-DNA insertion population, which included more than 63 000 independent transgenic lines and 8 840 identified flanking sequence tags （FSTs） that were mapped onto the rice genome, was developed to systemi- cally study the rice seed quality control. Genome-wide analysis of the FST distribution showed that T-DNA insertions were positively correlated with expressed genes, but negatively with transposable elements and small RNAs. In addition, the recovered T-DNAs were preferentially located at the untranslated region of the expressed genes. More than 11 000 putative homozygous lines were obtained through multi-generations of planting and resistance screening, and measurement of seed quality of around half of them, including the contents of starch, amylose, protein and fat, with a nondestructive near-infrared spectroscopy method, identified 551 mutants with unique or multiple altered param- eters of seed quality. Analysis of the corresponding FSTs showed that genes participating in diverse functions, including metabolic processes and transcriptional regulation, were involved, indicating that seed quality is regulated by a complex network.

A quality control method for high-resolution radiosonde temperature and wind data

This study proposes a method to derive the climatological limit thresholds that can be used in an operational/historical quality control procedure for Chinese high vertical resolution(5–10 m)radiosonde temperature and wind speed data.The whole atmosphere is divided into 64 vertical bins,and the profiles are constructed by the percentiles of the values in each vertical bin.Based on the percentile profiles(PPs),some objective criteria are developed to obtain the thresholds.Tibetan Plateau field data are used to validate the effectiveness of the method in the application of experimental data.The results show that the derived thresholds for 120 operational stations and 3 experimental stations are effective in detecting the gross errors,and those PPs can clearly and instantly illustrate the characteristics of a radiosonde variable and reveal the distribution of errors.

An Introduction to Intelligent Sensory Evaluation

Sensory evaluation is the evaluation of signals that a buman receives via its sensory organs. Nowadays sensory evaluation is widely used in quality inspection and quality control of products. and many other fields. Actually sensory evaluation always give. uncertain and inprecise results, therefore it derivates many problems. we reviews in detail these problem and give some cumputing methods to resolve them.

Power Control Algorithm of Cognitive Radio Based on Non-Cooperative Game Theory

This paper addresses the power con- trol problems of Cognitive Radio （CR） trader transmission power and interference tempera- ture constraints. First, we propose the interfer- ence constraint which ensures that the Quality of Service （QoS） standards for primary users is considered and a non-cooperative game power control model. Based on the proposed model, we developed a logical utility function based on the Signal-to-Interference-Noise Ratio （S/NR） and a novel algorithm network power control. that is suitable for CR Then, the existence and uniqueness of the Nash Equilibrium （NE） in our utility function are proved by the principle of game theory and the corresponding optimi- zations. Compared to traditional algorithms, the proposed one could converge to an NE in 3-5 iterative operations by setting an appropriate pricing factor. Finally, simulation results ver- ified the stability and superiority of the novel algorithm in flat-fading channel environments.

Combinative Approaches of Chemistry, Pharmacology and Toxicology for the Optimal Pharmaceutical Preparation of an Anti-arthritic Chinese Medicine Formulation QFJBT

Objective Qing Fu Juan Bi Tang(QFJBT)is an anti-arthritic Chinese medicine formula consisting of five herbs:Aconiti Lateralis Radix Praeparata(Fu Zi,附子),Sinomenii Caulis(Qing Feng Teng,青风藤),Astragali Radix(Huang Qi,黄芪),Paeoniae Radix Alba(Bai Shao,白芍)and Moutan Cortex(Mu Dan Pi,牡丹皮),which have well-established histories of use for treatment of rheumatic and arthritic diseases.We intended to establish the optimized and standardized pharmaceutical procedures and manufacturing processes for the pilot production of QFJBT to develop it as a novel botanical drug product for treatment of rheumatoid arthritis(RA).Methods The combinative approaches of chemical assessment,toxicological and pharmacological evaluation were explored to define the pharmaceutical preparation of QFJBT.Results The optimized and standardized pharmaceutical procedures and manufacturing processes for the pilot production of QFJBT were established in terms of greatest chemical contents of bioactive constituents,potent anti-inflammatory and antinociceptive activities,and favorable safety profile.Quality analysis of the pilot product of QFJBT by high-performance liquid chromatography(HPLC)demonstrated that the chromatographic fingerprint profiles of three batches of QFJBT were basically identical and the contents of four characteristic and bioactive markers were relatively consistent.General toxicological studies showed a favorable safety profile of QFJBT.The maximum tolerated single dose of QFJBT was determined in both sexes of rats to be 33.63 g/kg body weight which is equivalent to 346 times of clinical dose.In the chronic oral toxicity study,the results of laboratory investigation showed that QFJBT at doses of 3.89,6.80 and 9.72 g/kg body weight(equivalent to 40,70 and 100-fold clinical doses,respectively)caused no changes in all hematological parameters and blood biochemical parameters of rats.No mortality or specific toxic responses were observed in animals after three months of repeated dosing with QFJBT.Conclusion The optimized and standardized pharmaceutical and manufacturing processes for the production of QFJBT have been successfully screened and identified through established rigorous in-process controls.

A New Strategy of Integrated Control and On-line Optimization on High-purity Distillation Process

For high-purity distillation processes,it is difficult to achieve a good direct product quality control using traditional proportional-integral-differential(PID)control or multivariable predictive control technique due to some difficulties,such as long response time,many un-measurable disturbances,and the reliability and precision issues of product quality soft-sensors.In this paper,based on the first principle analysis and dynamic simulation of a distillation process,a new predictive control scheme is proposed by using the split ratio of distillate flow rate to that of bottoms as an essential controlled variable.Correspondingly,a new strategy with integrated control and on-line optimization is developed,which consists of model predictive control of the split ratio,surrogate model based on radial basis function neural network for optimization,and modified differential evolution optimization algorithm. With the strategy,the process achieves its steady state quickly,so more profit can be obtained.The proposed strategy has been successfully applied to a gas separation plant for more than three years,which shows that the strategy is feasible and effective.