Design of a Manual Calculation System of Drawing Quantity with "Read Schemata”

2014 ◽  
Vol 496-500 ◽  
pp. 1774-1778
Author(s):  
Xing Ji Wang
Keyword(s):  
Main Function ◽  
3D Graphics ◽  
Direct Visualization ◽  
Counting System ◽  
Work Habits ◽  
Manual Counting ◽  
Low Threshold ◽  
Calculation System ◽  
Manual Calculation ◽  
Clear Presentation

To solve the problem of "reliablity", calculation scope and the high thresholds in the operation of the 3D graphics automatic calculation quantity system in the practical use, "read schemata" graphics manual calculation quantity technology is analyzed. This technology has the features of direct visualization, clear presentation, no requirement for memory in work, revisability, meeting cost engineers work habits, low threshold in operation, wide application scope, easy proofreading and so on. The main function of graphics manual counting system is described with "reading schema". The functions of the drawing display and the manual calculation area are given. The experimental results show that the method is effective, feasible and superior to other 3D graphics quantity calculation system and can be applied in the quantity calculation of various professional engineering.

Exploration of a Calculation System of Drawing Quantity with "Read Schemata"

2012 ◽  
Vol 220-223 ◽  
pp. 2622-2627
Author(s):  
Xing Ji Wang
Keyword(s):  
Information Structure ◽  
Direct Visualization ◽  
Work Habits ◽  
Research Problems ◽  
Rule Set ◽  
Low Threshold ◽  
Calculation System ◽  
Structure Of Knowledge ◽  
Clear Presentation ◽  
Application Scope

To solve the problem of "reliablity", calculation scope and the high thresholds in the operation of the graphics automatic calculation quantity system in the practical use, "read schemata" graphics calculation quantity technology is analyzed. This technology has the features of direct visualization, clear presentation, no requirement for memory in work, revisability, meeting cost engineer’s work habits, low threshold in operation, wide application scope, easy proofreading and so on. The axis module algorithms and information structure are given. The experimental results show that this method is effective, feasible and superior to other graphics quantity calculation system. Finally, further research problems are presented, such as the structure of knowledge base, calculation rule set and so on.

SISTEM INFORMASI AKUNTANSI PENGGAJIAN BERBASIS VB.NET PADA PT BANK PERKREDITAN RAKYAT (BPR) SANGGABUANA AGUNG KARAWANG

2021 ◽  
Vol 15 (4) ◽  
pp. 37-47
Author(s):  
Jamilatus Sadiah ◽  
Indaryono Indaryono ◽  
Arif Maulana Yusuf
Keyword(s):  
Information System ◽  
Human Resources ◽  
Research Methodology ◽  
System Development ◽  
Human Resources Management ◽  
Main Function ◽  
Good Information ◽  
Resources Management ◽  
Slow Presentation ◽  
Calculation System

The payroll system is an important function that is the responsibility of Human Resources Management. Its main function is to provide compensation to employees in the form of salary in exchange for their contribution to the organization / agency. Payroll is one of the processes in an organization that is vulnerable to problems. Slow data processing can result in slow presentation of slow report making so that it is also possible to delay payment of salaries to employees. Plus if something goes wrong making salary calculations inaccurate. This makes the payroll system needs to be supported by a good information system. The research methodology used by the author in this research is the System Development Life Sycle (SDLC) Waterfall method. The development of research methodology has several sequential stages, namely: planning (modeling), modeling (modeling), construction (construction), and the delivery of the system to the customers / users (deployment). Based on the problems found, The author proposes to PT Bank Perkreditan Rakyat (BPR) Sanggabuana Agung Karawang to use VB.Net, it is expected that with the proposed system can improve Payroll problems that occur at PT Bank Perkreditan Rakyat (BPR) Sanggabuana Agung. Based on this research, the existence of a computerized employee payroll calculation system is expected to become a system that is useful for the development of the company in the future, and it is hoped that it can fix the problem and can also facilitate the calculation of payroll.  Keywords : Accountimg Information System, Payroll, VB.Net Programming

scholarly journals White Blood Cell Image Classification Using Deep Learning

2021 ◽  
Vol 7 (09) ◽  
pp. 7-12
Author(s):  
Neerukattu Indrani and Chiraparapu Srinivasa Rao
Keyword(s):  
Deep Learning ◽  
Blood Cells ◽  
White Blood Cells ◽  
Training Phase ◽  
Counting System ◽  
Cell Image ◽  
Area Of Interest ◽  
Manual Counting ◽  
Blood Smears ◽  
Microscopic Inspection

The microscopic inspection of blood smears provides diagnostic information concerning patients’ health status. For example, the presence of infections, leukemia, and some particular kinds of cancers can be diagnosed based on the results of the classification and the count of white blood cells. The traditional method for the differential blood count is performed by experienced operators. They use a microscope and count the percentage of the occurrence of each type of cell counted within an area of interest in smears. Obviously, this manual counting process is very tedious and slow. In addition, the cell classification and counting accuracy may depend on the capabilities and experiences of the operators. Therefore, the necessity of an automated differential counting system becomes inevitable. In this paper, CNN models are used. In order to achieve good performance from deep learning methods, the network needs to be trained with large amounts of data during the training phase. We take the images of the white blood cells for the training phase and train our model on them. With this method we achieved good accuracy than traditional methods. And we can generate the results within the seconds also.

Stock Counting System Using PDA

2014 ◽  
pp. 2311-2322
Author(s):  
Chantana Chantrapornchai ◽  
W. Chedsiri
Keyword(s):  
Access Point ◽  
Department Store ◽  
Wireless Access ◽  
Design And Development ◽  
Counting System ◽  
Large Size ◽  
Manual Counting ◽  
Wireless Access Point

In this work, a development of stock counting system using PDA is presented. The design and development issues are studied for the case of a superstore in Thailand. The stock counting is a tedious work in a department store. Employees need to physically walk down the shelves and count the amount of items each day. The amount of items is compared to the amount in the system to check for the loss of items every day. For a large-size department store, many employees need to spend lots of time to perform the tasks. Introducing the use of PDA together with the barcodes of the products will help automate the process, save time, and reduce the errors for checking the stock counts. In this paper, the design of system presents in the aspect of 1) the PDA software client and server sides 2) wireless access point installation costs and plans. After the development, the system is employed. Its efficiency is compared to the manual counting and the user satisfactory is evaluated.

scholarly journals Automatic Wheat Ear Counting Using Thermal Imagery

2019 ◽  
Vol 11 (7) ◽  
pp. 751 ◽  
Author(s):  
Jose Fernandez-Gallego ◽  
Ma. Buchaillot ◽  
Nieves Aparicio Gutiérrez ◽  
María Nieto-Taladriz ◽  
José Araus ◽  
...  
Keyword(s):  
Pipeline System ◽  
Counting System ◽  
Thermal Images ◽  
Manual Counting ◽  
Rgb Images ◽  
Growing Conditions ◽  
The Relationship ◽  
Comparability Of Results ◽  
Automatic Pipeline

Ear density is one of the most important agronomical yield components in wheat. Ear counting is time-consuming and tedious as it is most often conducted manually in field conditions. Moreover, different sampling techniques are often used resulting in a lack of standard protocol, which may eventually affect inter-comparability of results. Thermal sensors capture crop canopy features with more contrast than RGB sensors for image segmentation and classification tasks. An automatic thermal ear counting system is proposed to count the number of ears using zenithal/nadir thermal images acquired from a moderately high resolution handheld thermal camera. Three experimental sites under different growing conditions in Spain were used on a set of 24 varieties of durum wheat for this study. The automatic pipeline system developed uses contrast enhancement and filter techniques to segment image regions detected as ears. The approach is based on the temperature differential between the ears and the rest of the canopy, given that ears usually have higher temperatures due to their lower transpiration rates. Thermal images were acquired, together with RGB images and in situ (i.e., directly in the plot) visual ear counting from the same plot segment for validation purposes. The relationship between the thermal counting values and the in situ visual counting was fairly weak (R2 = 0.40), which highlights the difficulties in estimating ear density from one single image-perspective. However, the results show that the automatic thermal ear counting system performed quite well in counting the ears that do appear in the thermal images, exhibiting high correlations with the manual image-based counts from both thermal and RGB images in the sub-plot validation ring (R2 = 0.75–0.84). Automatic ear counting also exhibited high correlation with the manual counting from thermal images when considering the complete image (R2 = 0.80). The results also show a high correlation between the thermal and the RGB manual counting using the validation ring (R2 = 0.83). Methodological requirements and potential limitations of the technique are discussed.

Using Animation to Enhance 3D Visualization: A Strategy for a Production Environment

1998 ◽  
Vol 4 (S2) ◽  
pp. 452-453
Author(s):  
M. T. Dougherty ◽  
W. Chiu
Keyword(s):  
3D Visualization ◽  
Three Dimensional ◽  
Thought Experiments ◽  
Visual Image ◽  
Human Mind ◽  
3D Graphics ◽  
Production Environment ◽  
Train Of Thought ◽  
Advanced Computer ◽  
Clear Presentation

The use of animation can significantly enhance the visualization of three-dimensional (3D) structures. It can present a focused train of thought, or it can be used to systematically scan through previously unfathomable quantities of data to examine for unknown features and consistencies. In order to establish a modern animation facility requires a variety of technical, psychological and artistic skills, in addition to advanced computer graphics and related equipment. 3D graphics combined with animation has proven to be a very effective tool in storytelling. The dynamic visual image is uniquely suited for thought experiments, simulations and traversing vast quantities of data otherwise incomprehensible to the human mind. Sometimes animation is the only method that allows a clear presentation of complex empirical or theoretical information in many dimensions. Scientific visualization is by its nature an exploratory process. And frequently animations are iteratively refined and polished to enhance comprehensibility for the researchers and their peers.

Automatic Counting System for Nuclear Track Based on DSP and Mathematical Morphology Algorithm

2014 ◽  
Vol 610 ◽  
pp. 287-290
Author(s):  
Yi Pan ◽  
Liang Jun Liu
Keyword(s):  
Image Processing ◽  
Mathematical Morphology ◽  
Nuclear Technology ◽  
Counting System ◽  
Automatic Counting ◽  
Manual Counting ◽  
Important Position ◽  
Processing Techniques ◽  
Morphology Algorithm ◽  
Visual Error

Parameter measurement of the solid state nuclear track occupies an extremely important position in the field of nuclear technology while limitation of the traditional manual counting method is very large. In recent years, DSP and image processing techniques are increasingly applied in the field of nuclear technology. This paper describes an automatic counting system for nuclear track based on DSP image processing platform which uses DSP hardware platform and mathematical morphology algorithm. This system can effectively separate the track point from the background and remove noise, and also accurately count helping to reduce the visual error of manual counting.

scholarly journals Interactive/Automated Method to Count Bacterial Colonies

2016 ◽  
pp. 556-577
Author(s):  
Fernando C. Monteiro ◽  
João Ribeiro ◽  
Ramiro Martins
Keyword(s):  
Plate Boundary ◽  
Central Area ◽  
Automated System ◽  
Routine Practice ◽  
Counting System ◽  
Automated Method ◽  
Manual Counting ◽  
Colony Counting ◽  
Time Required ◽  
Mobile Phone Camera

Counting of bacterial colonies on agar plates is a routine practice to get a rough estimate of the number of viable cells in a sample. The number of colonies in a culture is predominantly manually counted to calculate the concentration of bacteria in the original broth; however, manual counting can be tedious, time-consuming and imprecise. Automation of colony counting has been of increasing interest for many decades, and these methods have been shown to be more consistent than manual counting. Significant limitations of many algorithms used in automated systems are their inability to recognize overlapping colonies as distinct and to count colonies on the plate boundary. This study proposes an interactive counting system and a fully automated system using image processing which overcomes these problems. The proposed system is capable to reduce the manpower and time required for counting while taking account colonies both around the central area and boundary areas of the dish. These systems are part of an application to count colonies based in a mobile phone camera.

Teaching the Notion Conic Section with Computer

2021 ◽  
Vol LXIV (4) ◽  
pp. 395-409
Author(s):  
Marin Marinov ◽  
◽  
Petya Asenova ◽  
Keyword(s):  
Conical Surface ◽  
Conic Section ◽  
3D Graphics ◽  
Mathematical Concepts ◽  
Symbolic Calculation ◽  
Wolfram Mathematica ◽  
Symbolic Calculations ◽  
Conical Section ◽  
Calculation System

The article discusses the problem of introducing and constructing mathematical concepts using a computer. The Wolfram Mathematica 12 symbolic calculation system is used at each stage of the complex spiral process to form the notion of conic section and the related concepts of focus, directrix and eccentricity. The nature of these notions implies the use of appropriate animations, 3D graphics and symbolic calculations. Our vision of the process of formation of mathematical concepts is presented. The notions ellipse, parabola and hyperbola are defined as the intersection of a conical surface with a plane not containing the vertex of the conical surface. The conical section is represented as a geometric location of points on the plane for which the ratio of the distance to the focus to the distance to the directrix is a constant value. The lines of hyperbola and ellipse are determined by their foci. The equivalence of different definitions for conical sections is commented.

scholarly journals Automatic Fruit Detection and Couting System Using Neural Network

2021 ◽  
pp. 164-169
Author(s):  
Vaishnavi R Padiyar ◽  
Nagaraja Hebbar N ◽  
Shreya G Shetty
Keyword(s):  
Neural Network ◽  
Web Application ◽  
Current Practice ◽  
Detection Methods ◽  
Yield Estimation ◽  
Counting System ◽  
The Neural Network ◽  
Manual Counting ◽  
Network Object ◽  
Expensive Process

In the field of agriculture, Identification and counting the number of fruits from the image helps the farmers in crop estimation. At present manual counting of fruits present in many places. The current practice of yield estimation based on the manual counting of fruits has many drawbacks as it is time consuming and expensive process. while considering the progress of fruit detection, estimating proper and accurate fruit counts from images in real-world scenarios such as orchards is still a challenging problem. The focus of this paper is on the web application of fruit yield estimation. This web application helps the farmers to count the number of fruits easily. This system provides an automated and efficient fruit counting system using computer vision techniques. This paper provides the progress towards in-field fruit counting using neural network object detection methods. So this process is done by recognizing each fruit in the image and taking the count. In the neural network, we have used YOLO architecture for recognizing the fruits.

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