Research of Quantitative Analyzer for Fluorescence Immune Chromatography Strips

2013 ◽  
Vol 373-375 ◽  
pp. 1000-1006
Author(s):  
Xiao Ting Li ◽  
Kai Jiang ◽  
Ping Wang

Fluorescence immunoassay technology is widely recognized as the most sensitive detection technology, now widely used in clinical testing. The research of quantitative analyzer for fluorescence immune chromatography strips is of great significance. In this thesis, a quantitative analyzer for fluorescence immune chromatography strips has realized, based on photoelectric detection principle and immunochromatographic. The system uses LPC1788 and MSP430 as processors. Using some algorithms such as low-pass filtering, least square method and area method to analyze the detected waveform and eliminate noise with high accuracy. In our experiment, the minimum detection concentration is at several mIU/ml levels, the relative standard deviation is less than 2% and it has good linear response characteristics in a concentration range from 0.5125 to 952mIU/ml while the correlation coefficient R2 is 0.981. The instrument has a good prospect.

2013 ◽  
Vol 805-806 ◽  
pp. 716-720
Author(s):  
Tao Xu ◽  
Tian Long Shao ◽  
Dong Fang Zhang

Combined with the contents of the study-PSS low-pass link parameter identification. Least-squares method is selected. Using least-square method for PSS low-pass link mathematical model are also deduced. For the results, because of the mathematical model is solving nonlinear equations, cannot used by the Newton method directly. So we choose to use Newton iterations, with this feature, choose to use MATLAB software to solve the equation. Identification of the use of MATLAB software lags after the PSS parameters obtained recognition results compared with national standards, identifying and verifying the practicability.


Author(s):  
Kuo Liu ◽  
Haibo Liu ◽  
Te Li ◽  
Yongqing Wang ◽  
Mingjia Sun ◽  
...  

The conception of the comprehensive thermal error of servo axes is given. Thermal characteristics of a preloaded ball screw on a gantry milling machine is investigated, and the error and temperature data are obtained. The comprehensive thermal error is divided into two parts: thermal expansion error ((TEE) in the stroke range) and thermal drift error ((TDE) of origin). The thermal mechanism and thermal error variation of preloaded ball screw are expounded. Based on the generation, conduction, and convection theory of heat, the thermal field models of screw caused by friction of screw-nut pairs and bearing blocks are derived. The prediction for TEE is presented based on thermal fields of multiheat sources. Besides, the factors influencing TDE are analyzed, and the model of TDE is established based on the least square method. The predicted thermal field of the screw is analyzed. The simulation and experimental results indicate that high accuracy stability can be obtained using the proposed model. Moreover, high accuracy stability can still be achieved even if the moving state of servo axis changes randomly, the screw is preloaded, and the thermal deformation process is complex. Strong robustness of the model is verified.


2014 ◽  
Vol 926-930 ◽  
pp. 3447-3450
Author(s):  
Yong Bo Li ◽  
Yun Zhao Xu ◽  
Jia He

The circle-end-face centering device which is in the base of image processing accomplishes the center of the cylinders end face by digital image processing. Through edge extraction and doing the matching in the calculation of the least square method, the coordinate of the central of the circle can be calculated. At last, the drill will be moved to the central of the circle and do the punching by the actuator. This equipment is in the high accuracy and speed compared with the traditional way and the concentric circle laser of marking with the center. Meanwhile, the actuator consists of the programmable logic controller, touch panel and servo drivers which is in the high stability and accuracy. Certainly it is easy to be controlled by the method.


2014 ◽  
Vol 490-491 ◽  
pp. 1391-1398
Author(s):  
Xiao Ping Li

This article proposes the necessity and feasibility of the use of Data Mining and Knowledge Discovery in CBR reasoning. This paper focuses on the method of empowering feature items based on least squares method parameter identification, and achieve the method of Similarity case retrieval on this basis, the object is the typical case database of railway rescue. The simulation results show that: the least square method can effectively make estimation and identification of the feature parameters, and can continuously correct on-line. High accuracy and fast convergence characteristics of the assigned parameters show that the algorithm has a certain application value.


2013 ◽  
Vol 860-863 ◽  
pp. 2534-2539
Author(s):  
Chang Ming Chen ◽  
Jiang Zeng ◽  
Xiang Hua Zhang

EHV substation service power is an important load in the power grid which is meaningful to be examined for the energy saving and emission reduction of the power grid. Based on the analysis of EHV substation service power and the improvement of the least square method, this paper get a new set of optimization which is is highly general and can reach high accuracy.


2013 ◽  
Vol 823 ◽  
pp. 161-164
Author(s):  
Yong Juan Meng ◽  
Hong An Guo

In the photoelectric detection technology,Often encountered in the detection and control of temperature.If the use of photovoltaic cells,Photoresistor,When the photodiode as a measurement of original,Because temperature of the light current or sensitive resistor, Therefore, if the requirements of high accuracy,Need to build circuit for temperature compensation on many occasions,For temperature control,Or independent testing to the temperature signal into the microcontroller,Through the system mathematical model associated with the temperature and temperature compensation of software,The last one is common ways.


2021 ◽  
Vol 2 (2) ◽  
pp. 1
Author(s):  
Fadlurahman Hakim

The objective of this research is to know the level of financial health of Koperasi Swastisari Credit 2012-2016 based on the Regulation of State Minister of Cooperatives and Small and Medium Enterprises of Republic of Indonesia No.06 / PER / DEP.6 / IV / 2016 concerning capital aspect, earning asset quality, management, liquidity, efficiency, independence and growth as well as cooperative identity.This research is a type of descriptive evaluative research. The subject of this research is Credit Cooperative (Kopdit) Swastisari in which the object of evaluation is financial health Kopdit Swastisari. Data analysis techniques in this study using descriptive analysis. In this research data is collected through documentation and interview method. The results showed that the health level of the 2012-2016 Swaddle Kopdit was in fairly healthy category with the average score of 78.06 with details: (1) the capital aspect was averaged 12.24 and was in the healthy category; (2) aspect of productive asset quality in the mean score 17,25 and in healthy enough category; (3) management aspect was score 13,07 and was in healthy category; (4) the efficiency aspect was averaged 15.00 and was in the healthy category; (5) liquidity aspect in the average score of 7.25 and is in the less healthy category; (6) aspect of independence and growth average score 6.25 and in the category of healthy enough; (7) the aspect of cooperative identity is averaged score of 7.00 and is in fairly healthy category. (8) the level of health of the Swedy Kopdit for 5 years (2012-2016) in a row obtained the total score of 70.35; 71.05; 72.45; 72.70; 72.50 and 78.06 are in fairly healthy categories.Using Trend Analysis least square method taken from the total health ratio of Swasti Sari Kopdit Period (2012-2016) obtained estimates of the results of the health ratio assessment in the coming year (2017-2020), the score obtained is 73.58; 74.17; 74.76 and 75.35 which indicate a good prospect for the next 5 year.


2014 ◽  
Vol 543-547 ◽  
pp. 1550-1554
Author(s):  
Zhi Gang Chen ◽  
Ju Shu ◽  
Su Xia Zhu

It is of great importance to accomplish identifying the non-cooperative targets inertial parameters for capturing and controlling it. This paper adopts an identification method utilizing the tactile and vision to establish the identification equations based on the principle of conservation of momentum. In order to solve the equations precisely and rapidly, two of the most widely used methods: the least square method and the recursive least-square method (RLS) are employed for simulation and calculation utilizing ADAMS and MATLAB, and the limitation of each method is pointed out. Then the paper proposes a new method named the recursive method based on the least square solution. This method provides the identification equation a new solving thought and realizes fast identification of the targets inertial parameters at high accuracy. The simulation results verify the validity and feasibility of the proposed approach.


2013 ◽  
Vol 333-335 ◽  
pp. 268-274
Author(s):  
Jing Jing Wang ◽  
Jian Yu Huang ◽  
Shi Yin Qin

In this paper, a high accuracy and efficiency pose estimation algorithm is proposed for space cooperative targets in RVD based on binocular visual measurement. At first, the scheme of visual measurement toward RVD is presented and the environment conditions and performance requirement are analysed and discussed. Then the relationship of pose estimation with detection and tracking is studied to give an implementing strategy of pose estimation with high accuracy and efficiency. Moreover, the key point is focused on the pose estimation of cooperative targets, in which a stereo vision mapping relation between three dimensionl coordinates of spacial feature points of cooperative targets and their corresponding image coordinates is established, then the least square method is employed to estimate the three-dimensional coordinates of feature points so as to calculate the relative position and attitude between tracking spacecraft and target spacecraft with high precision, finally a series of experimental resluts indicate that the proposed pose estimation algorithm under binocular visual measurement demonstrates well performance in the estimation accuracy, anti-noise and real-time thus can achieve the application requriements of RVD under binocular visual measurement.


2014 ◽  
Vol 490-491 ◽  
pp. 1475-1480
Author(s):  
Feng Ying Yue ◽  
Li Sen Sun ◽  
Sheng Fei Zhao

This paper deduces the MIMU miscalibration model from actual installation relation to meet IMU product industry-applied needs. Through analysis and simplification it obtains a linearized model using the least-square method. The simplified linearized model is used to align IMU. Also the parameters error analysis is conducted for further analysis of the calibration result. Finally, simulations are performed to test the algorithm, which indicates that this algorithm can perform the IMU calibration on high-accuracy level.


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