Automatic system for controlling the production process at the Priazov Mining Commission

Refractories ◽  
1973 ◽  
Vol 14 (7-8) ◽  
pp. 404-408
Author(s):  
A. N. Turenko ◽  
V. L. Yazev ◽  
R. T. Berezanskii ◽  
L. I. Chernoplechii ◽  
V. S. Polishchuk
Keyword(s):  
Production Process ◽  
Automatic System ◽  
Mining Commission

scholarly journals PERANCANGAN ALAT MAKAN DAN MINUM PADA PETERNAKAN AYAM PETELUR SECARA OTOMATIS BERBASIS MIKROKONTROLER

2019 ◽  
Vol 3 (2) ◽  
pp. 24-28
Author(s):  
Mayda Waruni Kasrani ◽  
Zulkaini Septia Rini ◽  
Anwar Fattah
Keyword(s):  
Production Process ◽  
Coming Out ◽  
Automatic System ◽  
Security System ◽  
Automated System ◽  
Automation System ◽  
Scheduling System

Abstract�Developments in the field of livestock some have not used technology in the process of feeding and drinking, the process is still using human. This system realizes Aduino Nano to control the entire automation system in the form of feeding and drinking, so that the production process runs effectively and efficiently. This system consists of giving a feed schedule and the amount of feed given to chickens every day for feeding consists of two feeders who do morning and evening. System to provide input to the process using an automated system. This process works after all inputs have been given, starting from the first, second and third types of feed coming out through the door which is opened using the principle of relay movement in accordance with the specified amount, the feed already in the mixing place will be stirred and calcified, then feed already mixed will be sent to each chicken coop evenly using an automatic system. The results of the system test can be concluded that the feed scheduling system specified by Arduino Nano can work with a level of success and the security system goes well when an error occurs. Communication that occurs between Arduino Nano and other components runs well. Intisari� Perkembangan pada bidang peternakan beberapa belum menggunakan teknologi dalam proses pemberian pakan dan minum, proses yang dilakukan masih menggunakan manusia. Sistem ini merealisasikan Arduino Nano untuk mengendalikan seluruh sistem automasi berupa pemberian pakan dan minum, agar proses produksi berjalan dengan efektif dan efisien. Sistem ini terdiri dari pemberian jadwal pakan dan jumlah pakan yang diberikan pada ayam setiap hari untuk pemberian pakan terdiri dari dua kali pemberi pakan yang di lakukan pagi dan sore hari. Sistem untuk memberikan input pada prosesnya menggunakan sistem otomatis. Proses ini bekerja setelah semua input telah diberikan, mulai dari jenis pakan pertama, kedua dan ketiga keluar melalui pintu yang dibuka menggunakan prinsip pergerakan relay sesuai dengan jumlah yang ditentukan, pakan yang sudah terdapat pada tempat pencampuran akan di aduk dan tercapur, kemudian pakan yang sudah tercampur akan di kirim ke setiap kandang ayam secara merata meggunakan sistem otomatis. Hasil pengujian sitem dapatdisimpulkan bahwa pada sistem penjadwalan pakan yang ditentukan oleh Arduino Nano dapat bekerja dengan tingkat keberhasilan serta sistem keamanan berjana dengan baik ketika terjadi error. Komunikasi yang terjadi antara Arduino Nano dengan komponen lainnya berjalan dengan baik

APPLICATION OF NEURAL NETWORK TECHNOLOGIES FOR QUALITY MANAGEMENT FOOD PRODUCTS IN THE PRODUCTION PROCESS

2021 ◽  
pp. 37-41
Author(s):  
В.Г. Благовещенский ◽  
А.Е. Краснов ◽  
Е.И. Баженов ◽  
М.М. Благовещенская ◽  
С.А. Мокрушин
Keyword(s):  
Neural Network ◽  
Quality Management ◽  
Production Process ◽  
Automatic System ◽  
Food Products ◽  
Quality Of Food ◽  
Network Technologies ◽  
Neural Network Technologies

Рассматривается задача разработки интеллектуальной автоматизированной системы управления качеством кондитерских изделий с использованием нейросетевых технологий на примере производства подсолнечной халвы. The problem of developing an automatic system for managing the quality of food products using neural network technologies is considered on the example of the production of sunflower halva.

Improving Body Satisfaction

2015 ◽  
Vol 20 (1) ◽  
pp. 62-71 ◽  
Author(s):  
Carolien Martijn ◽  
Jessica M. Alleva ◽  
Anita Jansen
Keyword(s):  
Eating Disorders ◽  
Body Dissatisfaction ◽  
Automatic System ◽  
Body Satisfaction ◽  
Western Society ◽  
Related Information ◽  
Current Article ◽  
Women And Girls

Feelings of body dissatisfaction are common in Western society, especially in women and girls. More than innocent discontent, body dissatisfaction can have serious consequences such as depression and eating disorders. The current article discusses the nature of body dissatisfaction, how it develops and how it is currently being treated. We also discuss novel strategies to increase body satisfaction that work on the automatic system (e.g., by retraining attentional and conditioning processes), since recent research suggests that appearance-related information is processed automatically. We suggest that extant methods should be combined with these novel strategies, in order to optimally improve body dissatisfaction and to prevent its detrimental consequences.

AUTOMATIC SYSTEM FOR MICROMECHANICAL PROPERTIES ANALYSIS

1981 ◽  
Vol 42 (C5) ◽  
pp. C5-1129-C5-1134
Author(s):  
S. Etienne ◽  
J. Y. Cavaille ◽  
J. Perez ◽  
M. Salvia
Keyword(s):  
Automatic System ◽  
Micromechanical Properties

Optimization of the production process of special purpose pasta with the addition of carrots and pectin

2019 ◽  
Vol 28 (9) ◽  
pp. 50-53
Author(s):  
N.N. Martynov ◽  
◽  
G.A. Sidorenko ◽  
G.B. Zinyukhin ◽  
E.Sh. Maneeva ◽  
...  
Keyword(s):  
Production Process

IMPLEMENTASI JOB ORDER COSTING METHOD DALAM PERHITUNGAN HARGA POKOK PRODUKSI MAP

2018 ◽  
Vol 4 (2) ◽  
pp. 43-55
Author(s):  
Ika Yulianti ◽  
Endah Masrunik ◽  
Anam Miftakhul Huda ◽  
Diana Elvianita
Keyword(s):  
Production Process ◽  
Quantitative Data ◽  
Production Cost ◽  
Qualitative Data ◽  
Cost Data ◽  
Method Calculation ◽  
Cost Of Production ◽  
The Right ◽  
The Cost

This study aims to find a comparison of the calculation of the cost of goods manufactured in the CV. Mitra Setia Blitar uses the company's method and uses the Job Order Costing (JOC) method. The method used in this study is quantitative. The types of data used are quantitative and qualitative. Quantitative data is in the form of map production cost data while qualitative data is in the form of information about map production process. The result of calculating the cost of production of the map between the two methods results in a difference of Rp. 306. Calculation using the company method is more expensive than using the Job Order Costing method. Calculation of cost of goods manufactured using the company method is Rp. 2,205,000, - or Rp. 2,205, - each unit. While using the Job Order Costing (JOC) method is Rp. 1,899,000, - or Rp 1,899, - each unit. So that the right method used in calculating the cost of production is the Job Order Costing (JOC) method

Image analysis and peanut seeds performance during the production process

Científica ◽  
2016 ◽  
Vol 44 (3) ◽  
pp. 412 ◽  
Author(s):  
Rafael Marani Barbosa ◽  
Bruno Guilherme Torres Licursi Vieira ◽  
Francisco Guilhien Gomes-Junior ◽  
Roberval Daiton Vieira
Keyword(s):  
Image Analysis ◽  
Production Process
Sign in / Sign up

Export Citation Format

Share Document