Research and Manufacture on the Detection System on the Rifle Curve, Straightness and Roughness of the Firearm Bore Wall

2012 ◽  
Vol 229-231 ◽  
pp. 1361-1364
Author(s):  
Pen Ren Chen ◽  
Kai Mao ◽  
Yu Mei Sun
Keyword(s):  
Crucial Role ◽  
Detection System ◽  
Technical Problem ◽  
Current Method ◽  
System Structure ◽  
Detection Accuracy ◽  
Current Standard ◽  
Computer Image Processing ◽  
Quality Of Products

The rifle curve, straightness and roughness of the firearm bore wall play a crucial role to the shooting accuracy and distance. Detection on the bore wall is therefore very important on purpose of improving the accuracy of fine processing and ensuring the quality of products. However, the regular detection method is helpless due to the space and size restriction of the bore wall. In order to solve this technical problem, a detection system for the bore wall is discussed, the system structure is briefly introduced, the system principle is analyzed and the application value of popularization is also pointed out in this paper. The detection accuracy has exceeded the current standard at home and abroad and reached the level of nm. The rifle curve, straightness and roughness of the firearm bore wall play a crucial role to the shooting accuracy and distance. Detection on the bore wall is therefore very important on purpose of improving the accuracy of fine processing and ensuring the quality of product. As for the detection of rifle curve, straightness and roughness of the firearm bore wall, the current method is only limit to the endoscopic camera and computer image processing, and the effect on the larger flaw is obvious but can not reach the fine requirement for the detection of the new products.

Study of Shells Exterior Surface Flaw Based on CCD Automatic Detection System

2012 ◽  
Vol 201-202 ◽  
pp. 598-601
Author(s):  
Xue Mei Li ◽  
Ai Bing Yu ◽  
Lian Jie Ma
Keyword(s):  
Detection System ◽  
Flaw Detection ◽  
Detection Accuracy ◽  
Exterior Surface ◽  
Study Results ◽  
Extraction Algorithm ◽  
Automatic Detection System ◽  
The Comparative Study ◽  
Magnetic Particle Testing

Having an automated nondestructive test of shells can improve their missile body’s defectiveness identification ability and ensure the manufacturing quality of the weapons and equipment. The CCD flaw detection system of the shell exterior surface is designed by using magnetic particle testing and CCD sensors and by using the feature extraction algorithm an image processing software is programmed and system simulation is carried out. The comparative study results showed that the system has avoided the manual detection error and omissions and the detection accuracy, detection speed and anti-interference capability was obviously improved.

scholarly journals Quality Analysis of Long dan Xie gan Pill by a Combination of Fingerprint and Multicomponent Quantification with Chemometrics Analysis

2018 ◽  
Vol 2018 ◽  
pp. 1-10 ◽  
Author(s):  
Jing Liu ◽  
Hui Liu ◽  
Zhong Dai ◽  
Shuangcheng Ma
Keyword(s):  
Quality Control ◽  
Quality Analysis ◽  
Current Standard ◽  
Hplc Fingerprint ◽  
Practical Strategy ◽  
Convenient Approach ◽  
Dual Channels ◽  
Quality Of Products ◽  
Main Components

Long dan Xie gan pill is a traditional complex compound preparation with a long history for treatment of diseases, including hepatocolic hygropyrexia, dizziness, tinnitus, and deafness. Quality of products from different manufacturers may be varied. Since the current standard could not control the quality of products in a comprehensive and effective way, this study aimed at establishing a practical and convenient approach for holistic quality control of the preparation. This study included both qualitative and quantitative works to get information on the overall composition and main components, respectively. As a result, HPLC fingerprint (UV 240 nm) similarities of all fifty samples were in the range of 0.65∼0.99. Results indicated that there was a difference among products from different manufacturers. Additionally, ten characteristic peaks of the fingerprint were tentatively identified by LC-MS. Further chemometrics analysis was utilized to evaluate the products from different manufacturers. At the same time, the HPLC (UV 285 nm) multicomponent quantification result showed that contents of gentiopicrin, baicalin, baicalein, and wogonin were in the range of 0.61–5.40, 1.96–5.33, 0.10–3.40, and 0.046–1.16 mg·g−1, respectively. Data analysis verified the main different component of baicalein from the fingerprint statistical analysis. It is worth mentioning that the qualitative fingerprint and quantitative multicomponent determination were simultaneously accomplished by HPLC-DAD with dual channels. The study provided sound basis for improving quality control standards. This study also provided practical strategy for overall quality control of traditional Chinese medicines.

On-Line Detection Method for Automobile Frame Side Rail Process Holes

2012 ◽  
Vol 616-618 ◽  
pp. 1993-1996
Author(s):  
Yu Zhuo Men ◽  
Hai Bo Yu ◽  
Hua Wang ◽  
Jin Gang Gao ◽  
Xin Pan
Keyword(s):  
Machine Vision ◽  
Detection Method ◽  
Detection System ◽  
Ccd Camera ◽  
Line Detection ◽  
Detection Accuracy ◽  
Side Rail ◽  
On Line ◽  
System Prototype

On-line detection method for automobile frame side rail process holes is proposed in this articled. It is achieved by virtue of machine vision technology detection method. Many images captured by CCD camera are processed and analyzed to finally complete the automatic detection of automobile chassis frame process holes. Machine vision technology is applied to achieve the on-line detection of machining quality of frame side rail mounting holes. The developed detection system prototype has very high detection accuracy.

scholarly journals Quality Detection System of Transparent Nonel Tubes Based on Image Processing

2015 ◽  
Vol 9 (1) ◽  
pp. 697-702
Author(s):  
Guodong Sun ◽  
Wei Xu ◽  
Lei Peng
Keyword(s):  
Image Processing ◽  
Detection Method ◽  
Detection System ◽  
Recognition Rate ◽  
Human Vision ◽  
Detection Methods ◽  
Detection Accuracy ◽  
External Diameter ◽  
Quality Detection

The traditional quality detection method for transparent Nonel tubes relies on human vision, which is inefficient and susceptible to subjective factors. Especially for Nonel tubes filled with the explosive, missed defects would lead to potential danger in blasting engineering. The factors affecting the quality of Nonel tubes mainly include the uniformity of explosive filling and the external diameter of Nonel tubes. The existing detection methods, such as Scalar method, Analysis method and infrared detection technology, suffer from the following drawbacks: low detection accuracy, low efficiency and limited detection items. A new quality detection system of Nonel tubes has been developed based on machine vision in order to overcome these drawbacks. Firstly the system architecture for quality detection is presented. Then the detection method of explosive dosage and the relevant criteria are proposed based on mapping relationship between the explosive dosage and the gray value in order to detect the excessive explosive faults, insufficient explosive faults and black spots. Finally an algorithm based on image processing is designed to measure the external diameter of Nonel tubes. The experiments and practical operations in several Nonel tube manufacturers have proved the defect recognition rate of proposed system can surpass 95% at the detection speed of 100m/min, and system performance can meet the quality detection requirements of Nonel tubes. Therefore this quality detection method can save human resources and ensure the quality of Nonel tubes.

scholarly journals A Novel Hybrid Intrusion Detection System (IDS) for the Detection of Internet of Things (IoT) Network Attacks

2020 ◽  
Vol 4 (5) ◽  
pp. 61-74
Author(s):  
Rabie A. Ramadan ◽  
Kusum Yadav
Keyword(s):  
Neural Network ◽  
Feature Selection ◽  
Intrusion Detection ◽  
Intrusion Detection System ◽  
Detection System ◽  
Selection Process ◽  
Detection Accuracy ◽  
Iot Security ◽  
Shuffled Frog Leaping

Nowadays, IoT has been widely used in different applications to improve the quality of life. However, the IoT becomes increasingly an ideal target for unauthorized attacks due to its large number of objects, openness, and distributed nature. Therefore, to maintain the security of IoT systems, there is a need for an efficient Intrusion Detection System (IDS). IDS implements detectors that continuously monitor the network traffic. There are various IDs methods proposed in the literature for IoT security. However, the existing methods had the disadvantages in terms of detection accuracy and time overhead. To enhance the IDS detection accuracy and reduces the required time, this paper proposes a hybrid IDS system where a pre-processing phase is utilized to reduce the required time and feature selection as well as the classification is done in a separate stage. The feature selection process is done by using the Enhanced Shuffled Frog Leaping (ESFL) algorithm and the selected features are classified using Light Convolutional Neural Network with Gated Recurrent Neural Network (LCNN-GRNN) algorithm. This two-stage method is compared to up-to-date methods used for intrusion detection and it over performs them in terms of accuracy and running time due to the light processing required by the proposed method.

scholarly journals Pedestrian Detection under Parallel Feature Fusion Based on Choquet Integral

Symmetry ◽  
2021 ◽  
Vol 13 (2) ◽  
pp. 250
Author(s):  
Rong Yang ◽  
Yun Wang ◽  
Ying Xu ◽  
Li Qiu ◽  
Qiang Li
Keyword(s):  
Feature Fusion ◽  
Choquet Integral ◽  
Detection System ◽  
Pedestrian Detection ◽  
Texture Feature ◽  
Current Method ◽  
Detection Accuracy ◽  
Parallel Feature ◽  
New Feature ◽  
The Cost

Feature-based pedestrian detection method is currently the mainstream direction to solve the problem of pedestrian detection. In this kind of method, whether the appropriate feature can be extracted is the key to the comprehensive performance of the whole pedestrian detection system. It is believed that the appearance of a pedestrian can be better captured by the combination of edge/local shape feature and texture feature. In this field, the current method is to simply concatenate HOG (histogram of oriented gradient) features and LBP (local binary pattern) features extracted from an image to produce a new feature with large dimension. This kind of method achieves better performance at the cost of increasing the number of features. In this paper, Choquet integral based on the signed fuzzy measure is introduced to fuse HOG and LBP descriptors in parallel that is expected to improve accuracy without increasing feature dimensions. The parameters needed in the whole fusion process are optimized by a training algorithm based on genetic algorithm. This architecture has three advantages. Firstly, because the fusion of HOG and LBP features is parallel, the dimensions of the new features are not increased. Secondly, the speed of feature fusion is fast, thus reducing the time of pedestrian detection. Thirdly, the new features after fusion have the advantages of HOG and LBP features, which is helpful to improve the detection accuracy. The series of experimentation with the architecture proposed in this paper reaches promising and satisfactory results.

CONTROL IN REAL TIME THE DENSITY OF PRODUCT AT VARIOUS STAGES OF THE TECHNOLOGICAL PROCESS OF SUGAR PRODUCTION

2020 ◽  
Author(s):  
S.B. Kudryashev ◽  
◽  
N.S. Assev ◽  
R.D. Belashov ◽  
V.A. Naumenko ◽  
...  
Keyword(s):  
Real Time ◽  
Technological Process ◽  
Sugar Industry ◽  
Sugar Production ◽  
Production Processes ◽  
Quality Of Products

The article is devoted to solving one of the most important problems of the development of the sugar industry in Russia – the modernization of sugar production processes. Today, sugar production is actively being modernized, shifting most of its processes to the path of avomatization and optimization to improve the quality of products. This article describes one of the main ways to obtain information about the concentration of sucrose in syrup in the production of sugar.

Агрономическая эффективность промышленной (голландской) технологии возделывания картофеля

2018 ◽  
Author(s):  
C. Coy ◽  
A.V. Shuravilin ◽  
O.A. Zakharova
Keyword(s):  
Heavy Metals ◽  
Regression Analysis ◽  
Positive Response ◽  
Growth Yield ◽  
Correlation And Regression Analysis ◽  
Yield And Quality ◽  
Quality Of Products ◽  
High Degree ◽  
The Impact

Приведены результаты исследований по изучению влияния промышленной технологии возделывания картофеля на развитие, урожайность и качество продукции. Выявлена положительная реакция растений на подкормку K2SO4 в период посадки. Корреляционно-регрессионный анализ урожайности и качества клубней выявил высокую степень достоверности результатов опыта. Содержание нитратов и тяжелых металлов в клубнях было ниже допустимых величин.The results of studies on the impact of industrial technology of potato cultivation on growth, yield and quality of products. There was a positive response of plants to fertilizer K2SO4 in the period of planting. Correlation and regression analysis of yield and quality of tubers revealed a high degree of reliability of the results of experience. The contents of nitrates and heavy metals in tubers was below the permissible values.

PENGARUH HARGA DAN KUALITAS PRODUK TERHADAP LOYALITAS PELANGGAN ALUMUNIUM

2019 ◽  
Vol 7 (2) ◽  
Author(s):  
Widodo Widodo ◽  
Marshelly Chandra Kumala
Keyword(s):  
Data Collection ◽  
Product Quality ◽  
Customer Loyalty ◽  
Significant Influence ◽  
Secondary Data ◽  
Primary Data ◽  
Research Results ◽  
Is Research ◽  
Quality Of Products

<em>The objective of this is research was conducted to find out how the influence of the price and quality of products against customer loyalty at PT. Alakasa Extrusindo Jakarta. This research was conducted in Alakasa Extrusindo PT by doing data collection, through the primary data and secondary data.  The research results showed that the simultaneous price variables  and product quality  has a positive and significant effect against the variable customer loyalty. partially showed that price variables has a positive and significant influence towards customer loyalty. And partially showed that product quality variables  has a positive and significant influence towards customer loyalty</em>

Allocation and Use of Financial Resources in Health Care in Kyrgyzstan

2017 ◽  
Author(s):  
Damira Japarova
Keyword(s):  
Current Method ◽  
Poor Quality ◽  
Financial Resources ◽  
Quality Of Services ◽  
Healthcare Organizations ◽  
State Hospitals ◽  
Hospitalization Rates ◽  
Single Payer ◽  
Distribution Of Resources

TThe distribution of the limited financial resources in the state hospitals in Kyrgyzstan is uneven. The problems associated with the current method of distribution of resources: the poor quality of services at the level of polyclinics and high hospitalization rates that require an evaluation of the budget allocation of healthcare organizations operating in the Single Payer system. In order to improve the efficiency of resource use it is suggested to review the principles of allocation of resources to the primary level of patient care.

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