• International journal of advanced smart convergence
• /
• v.7 no.4
• /
• pp.75-83
• /
• 2018

Predictive IoT Sensor Algorithm is a technique of data science that helps computers learn from existing data to predict future behaviors, outcomes, and trends. This algorithm is a cloud predictive analytics service that makes it possible to quickly create and deploy predictive models as analytics solutions. Sensors and computers collect and analyze data. Using the time series prediction algorithm helps to predict future temperature. The application of this IoT in industrial environments like power plants and factories will allow organizations to process much larger data sets much faster and precisely. This rich source of sensor data can be networked, gathered and analyzed by super smart software which will help to detect problems, work more productively. Using predictive IoT technology - sensors and real-time monitoring - can help organizations exactly where and when equipment needs to be adjusted, replaced or how to act in a given situation.

• Journal of Information Processing Systems
• /
• v.18 no.4
• /
• pp.480-488
• /
• 2022

Images of tobacco retail licenses have complex unstructured characteristics, which is an urgent technical problem in the robot process automation of tobacco marketing. In this paper, a novel recognition approach using a double attention mechanism is presented to realize the automatic recognition and information extraction from such images. First, we utilized a DenseNet network to extract the license information from the input tobacco retail license data. Second, bi-directional long short-term memory was used for coding and decoding using a continuous decoder integrating dual attention to realize the recognition and information extraction of tobacco retail license images without segmentation. Finally, several performance experiments were conducted using a largescale dataset of tobacco retail licenses. The experimental results show that the proposed approach achieves a correction accuracy of 98.36% on the ZY-LQ dataset, outperforming most existing methods.

• Environmental Engineering Research
• /
• v.12 no.5
• /
• pp.197-200
• /
• 2007

Advanced control is getting increasingly demanded in water and wastewater treatment systems. Various case studies have shown significant savings in operating costs, including energy costs, and remarkably short payback times. It has been demonstrated that instrumentation, control and automation (ICA) may increase the capacity of biological nutrient removing wastewater treatment plants by 10-30% today. With further understanding and exploitation of the mechanisms involved in biological nutrient removal the improvements due to ICA may reach another 20-50% of the total system investments within the next 10-20 years. Disturbances are the reason for control of any system. In a wastewater treatment system they are mostly related to the load variations, but many disturbances are created also within the plant. In water supply systems some of the major disturbances are related the customer demand as well as to leakages or bursts in the pipelines or the distribution networks. Hardly any system operates in steady state but is more or less in a transient state all the time. Water and energy are closely related. The role of energy in water and wastewater operations is discussed. With increasing energy costs and the threatening climate changes this issue will grow in importance.

• 제어로봇시스템학회:학술대회논문집
• /
• 2005.06a
• /
• pp.1395-1399
• /
• 2005

Lately, the demand for automation in the industries has increased and automation system has continuously installed in various industrial fields. But automation for shipbuilding industries is more difficult than others. Because we must cope with diverse ship types and owner's various requirements. Nevertheless, for the past several years a steady development on welding robot for shipbuilding has been going on. Existing automatic welding robots are operated separately and do not communicate with each other. In the existing facilities, although a unit of robot has a good performance, and if all of units are not operated systematically, we are not satisfied with results of our system. So we suggest an integration and operation method of system units. System integration methods applied to our system have in many cases lead to lower cost and shorter lead time.

• Journal of Korean Society for Quality Management
• /
• v.24 no.3
• /
• pp.1-18
• /
• 1996

The purpose of this study is to empirically examine the role of supplier relationships as a means of enhancement of quality. The model for this study consists of four groups of concepts - 1) goal of quality, as 2) measures of supplier relationships, supplier assistance and buyer supplier communication, 3) the level of automation and technology, as 4) measures of performance, reliability quality and performance quality. By statistical analysis, the results are as follows. First, the goal of quality positively influences the level of automation, technology, supplier assistance and supplier communication. Second, the level of technology has a positive effect on supplier assistance and supplier communication on the level of automation. Third, the level of automation and technology positively influence the reliability quality. Fourth, supplier assistance and buyer-supplier communication has a positive effect on the reliability and performance quality. These results reveal three paths of supplier relationships in systems for the enhancement of quality.

• IEMEK Journal of Embedded Systems and Applications
• /
• v.18 no.3
• /
• pp.109-116
• /
• 2023

This paper presents a network-based automation system for the detection of metallic objects in food and livestock. A metal detector is a core equipment used for the inspection required by HACCP. Since the existing metal detectors are manufactured as a single-body equipment, it is difficult to take into account various user requirements for the system. In order to overcome the drawback, this study presents a network-based automation system for metal detector utilizing an industrial fieldbus and modular components. The proposed system can effectively consider the various customer requirements and control schemes. The proposed system can also achieve the improvement in speed and success rate of detecting metallic objects. The effectiveness of the proposed system is demonstrated through a various experiments.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.11 no.1
• /
• pp.101-106
• /
• 2010

Due to significant advances in Internet technology, there have been many e-learning courses offered by universities and academic institutes nowadays through the Internet. And these courses have benefited many students who might be constrained by distance and time. Nevertheless, most web-based courses are lecturing courses that cannot fulfill the needs for engineering technology education. In this paper, we propose the design and implementation of web-based programmable logic controller(PLC) laboratory to support learning and training for industrial automation. The proposed web-based PLC laboratory system consists of virtual labs and remote labs. This web-based PLC laboratory can be accessed by registered students to practice PLC experiments at their own home, enhancing the quality of education without much increasing in the overall cost. With the help of web cameras, the students can even have experience the live PLC experiments through the Internet.

• The Journal of the Convergence on Culture Technology
• /
• v.7 no.1
• /
• pp.545-550
• /
• 2021

In this paper, a university curriculum of Automation Robotics Process(RPA) among several goals for digital transformation of companies was developed. In the process of the development of ICT technology and the 4th industrial revolution, the existing analog information has changed through the stages of digitization, digitalization, and digital transformation. Recently, digital transformation has been cited as an essential survival strategy following a disruptive revolution that changes the paradigm of existing industrial systems and business. It is defined as a continuous process by which a company adapts to or promotes disruptive changes in customers and markets by using digital capabilities to create new business models, products and services. To this end, process automation in companies or organizations is an important factor. Accordingly, the need for a curriculum of robotics processes automation in universities has been raised according to these changes, and the related education contents, which have been centered on companies, have been redesigned to introduce the curriculum for universities. Education contents are composed to help students to attain certificates of essential or advanced of AA.

• Korean Business Review
• /
• v.10
• /
• pp.23-33
• /
• 1997

• Journal of the Korea Safety Management & Science
• /
• v.16 no.2
• /
• pp.139-146
• /
• 2014

In Korea's distribution and production field establishment of logistics information system and automation of logistics were greatly developed. But there is no characteristic and professionalism about hospital logistics, and distribution center is located in outside warehouse, logistics system is very important. Since hospital has human power to receive product, system is not as much required, but outside warehouse requires system for arrival from medicine and medical supplies wholesale dealer and vender, warehousing, storage, and automation facilities, and system for various works such as peaking instruction, classification, packing, cargo-working, delivery, order of medicine from hospital and non-medicine in hospital is essential. Therefore, This study is about development of automatic identification of slide which cannot be overlooked in efficiency of hospital logistics, establishment of database, and information interlocking between automatic storage system and outside warehouse.