• Title/Summary/Keyword: Automatic Devices Control

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Design of a Displacement and Velocity Measurement System Based on Environmental Characteristic Analysis of Laser Sensors for Automatic Mooring Devices (레이저 센서의 환경적 특성 분석에 기반한 선박 자동계류장치용 변위 및 속도 측정시스템 설계)

  • Jin-Man Kim;Heon-Hui Kim
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.29 no.7
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    • pp.980-991
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    • 2023
  • To prevent accidents near the quay caused by a ship, ports are generally designed and constructed through navigation and berthing safety assessment. However, unpredictable accidents such as ship collisions with the quay or personal accidents caused by ropes still occur sometimes during the ship berthing or mooring process. Automatic mooring systems, which are equipped with an attachment mechanism composed of robotic manipulators and vacuum pads, are designed for rapid and safe mooring of ships. This paper deals with a displacement and velocity measurement system for the automatic mooring device, which is essential for the position and speed control of the vacuum pads. To design a suitable system for an automatic mooring device, we first analyze the sensor's performance and outdoor environmental characteristics. Based on the analysis results, we describe the configuration and design methods of a displacement and velocity measurement system for application in outdoor environments. Additionally, several algorithms for detecting the sensor's state and estimating a ship's velocity are developed. The proposed method is verified through some experiments for displacement and speed measurement targeted at a moving object with constant speed.

The Development of Cleaning and Monitoring System for Pipeline Type UV Sterilizer (관로형 UV 소독기를 위한 세척 및 모니터링 시스템 개발)

  • Park, Byeung-Jun;Ryu, Ji-Hyoung;Park, Jae-Byung
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.14 no.12
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    • pp.6434-6440
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    • 2013
  • In this paper, an integrated control system is proposed for automatic control and remote monitoring of pipeline type UV sterilizer. The proposed system can control the cleaning wiper in the sterilizer with various cleaning motions, and periodically check the contamination level of the UV lamps with the UV power sensors. Therefore, sterilizer repair and maintenance can be more effectively done. In addition, the control system based on the open-source processor can communicate with external smart devices via Bluetooth, and thus wirelessly exchange control commands and sensor data. Furthermore, the system is able to flexibly cope with changes of cleaning motions and sensors since its firmware can be wirelessly upgraded by using the smart device. Consequently, the proposed system is suitable to construct a smart sewage treatment system in small towns.

Maximum Delay-Aware Admission Control for Machine-to-Machine Communications in LTE-Advanced Systems (LTE-Advanced 시스템에서 M2M 통신의 최대 지연시간을 고려한 호 수락 방법)

  • Jun, Kyungkoo
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.37B no.12
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    • pp.1113-1118
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    • 2012
  • Smart grid and intelligent transportation system draw significant interest since they are considered as one of the green technologies. These systems require a large number of sensors, actuators, and controllers. Also, machine-to-machine (M2M) communications is important because of the automatic control. The LTE-Advanced networks is preparing a set of functions that facilitate the M2M communications, and particularly the development of an efficient call admission control mechanism is critical. A method that groups MTC devices according to QoS constraints and determines the admission depending on the QoS satisfaction is limitedly applied only if the data transmission period and the maximum delay are identical. This paper proposed a call admission control that is free from such limitation and also optimizes the admission process under the certain condition of the transmission period and maximum delay. The theorems regarding the proposed method are presented with the proofs. The simulations confirms its validity and shows it is better in call admission probability than existing works.

Development of the Altari Radish Pre-Processing System for Kimchi Production (IV) - Automation and Evaluation of the Prototype Machine - (김치생산용 알타리무 전처리가공시스템 개발 (IV) - 시작기의 자동화와 평가 -)

  • Min Y.B.;Kim S.T.;Chung T.S.;Kang D.H.;Moon S.W.
    • Journal of Biosystems Engineering
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    • v.31 no.2 s.115
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    • pp.121-127
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    • 2006
  • An Altari radish pre-processing system, which feasible to process automatically such operations as leaf and root tail cutting and root peeling, for kimchi production was accomplished based on the foregone serial studies. In this study, the performances of the developed prototype machine, considered as a commercializing level, were analyzed and evaluated. The prototype machine attached Tiny PLC automatic control system was performed the sequent function as the rate of successful peeling was more than 98% for the Altari radish less than 70 mm diameter of a radish. The operating efficiency of this was 9 see/each, 128 kg/h, and it means as much as $5{\sim}6$ times that of a woman labor's. The sanitation and taste of the mechanized-processed Altari radish kimchi was almost same as that of the handmade. And they were suitable for manufactory of kimchi as the both short term ripening and storing kimchi. Developed machinery with one peeling device and two peeling devices that compared with hand processing, it was analyzed that the break-even yearly working days were 28 days and 19 days, and the break-even yearly processing amount were 28,700 kg, 32,400 kg, respectively.

Development of Core Technologies of Multi-tasking Machine Tools for Machining Highly Precision Large Parts (고정밀 대형 부품가공용 복합가공기 원천기술 개발)

  • Jang, Sung-Hyun;Choi, Young-Hyu;Kim, Soo-Tae;An, Ho-Sang;Choi, Hag-Bong;Hong, Jong-Seung
    • Journal of the Korean Society for Precision Engineering
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    • v.29 no.2
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    • pp.129-138
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    • 2012
  • In this study, three types of large scale multi-tasking machine tools together with core technologies involved have been developed and introduced; a multi-tasking machine tool for large scale marine engine crankshafts, a multi-tasking vertical lathe for windmill parts, and a large scale 5-axis machine tool of gantry type. Several special purpose devices has been necessarily developed for the purpose of handling and machining big and heavy workpieces accurately, such as PTD (Pin Turning Device) with revolving ring spindle for machining eccentric crankshaft pins, hydrostatic rotary table and steady rest for supporting and resting heavy workpieces, and 2-axis automatic swiveling head for high-quality free surface machining. Core technologies have been also developed and adopted on their detail design stage; 1) structural design optimization with FEM structural analysis, 2) theoretical hydrostatic analysis for the PTD and rotary table bearings, 3) box-in-box type cross-rail and octagonal ram design to secure machine rigidity and accuracy, 4) constant spindle rpm control against gravitational torque due to unbalanced workpiece.

A Review on Advanced Methodologies to Identify the Breast Cancer Classification using the Deep Learning Techniques

  • Bandaru, Satish Babu;Babu, G. Rama Mohan
    • International Journal of Computer Science & Network Security
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    • v.22 no.4
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    • pp.420-426
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    • 2022
  • Breast cancer is among the cancers that may be healed as the disease diagnosed at early times before it is distributed through all the areas of the body. The Automatic Analysis of Diagnostic Tests (AAT) is an automated assistance for physicians that can deliver reliable findings to analyze the critically endangered diseases. Deep learning, a family of machine learning methods, has grown at an astonishing pace in recent years. It is used to search and render diagnoses in fields from banking to medicine to machine learning. We attempt to create a deep learning algorithm that can reliably diagnose the breast cancer in the mammogram. We want the algorithm to identify it as cancer, or this image is not cancer, allowing use of a full testing dataset of either strong clinical annotations in training data or the cancer status only, in which a few images of either cancers or noncancer were annotated. Even with this technique, the photographs would be annotated with the condition; an optional portion of the annotated image will then act as the mark. The final stage of the suggested system doesn't need any based labels to be accessible during model training. Furthermore, the results of the review process suggest that deep learning approaches have surpassed the extent of the level of state-of-of-the-the-the-art in tumor identification, feature extraction, and classification. in these three ways, the paper explains why learning algorithms were applied: train the network from scratch, transplanting certain deep learning concepts and constraints into a network, and (another way) reducing the amount of parameters in the trained nets, are two functions that help expand the scope of the networks. Researchers in economically developing countries have applied deep learning imaging devices to cancer detection; on the other hand, cancer chances have gone through the roof in Africa. Convolutional Neural Network (CNN) is a sort of deep learning that can aid you with a variety of other activities, such as speech recognition, image recognition, and classification. To accomplish this goal in this article, we will use CNN to categorize and identify breast cancer photographs from the available databases from the US Centers for Disease Control and Prevention.

Design and Implementation of Bigdata Platform for Vessel Traffic Service (해상교통 관제 빅데이터 체계의 설계 및 구현)

  • Hye-Jin Kim;Jaeyong Oh
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.29 no.7
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    • pp.887-892
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    • 2023
  • Vessel traffic service(VTS) centers are equipped with RADAR, AIS(Automatic Identification System), weather sensors, and VHF(Very High Frequency). VTS operators use this equipment to observe the movement of ships operating in the VTS area and provide information. The VTS data generated by these various devices is highly valuable for analyzing maritime traffic situation. However, owing to a lack of compatibility between system manufacturers or policy issues, they are often not systematically managed. Therefore, we developed the VTS Bigdata Platform that could efficiently collect, store, and manage control data collected by the VTS, and this paper describes its design and implementation. A microservice architecture was applied to secure operational stability that was one of the important issues in the development of the platform. In addition, the performance of the platform could be improved by dualizing the storage for real-time navigation information. The implemented system was tested using real maritime data to check its performance, identify additional improvements, and consider its feasibility in a real VTS environment.

A GateSensor for Effective and Efficient Entering/Taking Management of Vehicles for Construction Logistics (건설 자재 반출입 차량 관리 효율화를 위한 게이트센서)

  • Yoon, Su-Won;Song, Jae-Hong;Shin, Tae-Hong;Chin, Sang-Yoon
    • Korean Journal of Construction Engineering and Management
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    • v.12 no.1
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    • pp.85-96
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    • 2011
  • The access monitoring and control system of vehicles involved in construction logistics has been evolved from paper-based through bar code-based and to RFID-based management with pursuing automatic data collection and management. However, existing management methods have a limit that they still need manpower allocation for access control of vehicles. Therefore this research has proposed an framework that includes devices and an information system for effective and efficient data collection for access control of vehicles for construction logistics. And the proposed framework has been verified through a laboratory test using a prototype system developed in this research. It is expected that the installation methods of RFID antenna and tag for the framework could be applied to not only the access control of construction site but also various RFID applications at construction sites.

Active Network Management System with Automatic Generation of Network Management Program using Triggers (트리거를 이용한 네트워크관리프로그램 자동생성 기능을 가진 능동적인 네트워크 관리 시스템)

  • Shin, Moon-Sun;Lee, Myong-Jin
    • Journal of Internet Computing and Services
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    • v.10 no.1
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    • pp.19-31
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    • 2009
  • Network management involves configuring and operating various network elements in a suitable manner. Generally, a network management system can perform basic functionalities such as configuration management, performance management, and fault management. Due to the open structure of the Internet, the volume of network traffic and the network equipment used have increased in size and complexity. Therefore, it is expensive and time consuming to develop a network management program for heterogeneous network equipment in an SNMP.based network. In order to facilitate the management of network environments and the control of heterogeneous devices in an efficient manner, we propose an Active Network Management System (ANMS) comprising an automatic generator that uses triggers to generate a network management program. The concept of triggers can be represented through event condition action rules performed in response to a change in the status of a network environment. The proposed ANMS comprises basic components for real time network management and also includes an automatic generator (AG). When the ANMS is monitoring network elements that are newly added or changed, a trigger rule is activated and these components are then able to collaborate and automatically generate a new network management program by using the information provided along with the SNMP libraries. Our method is useful for expanding the network structure and replacing network equipment. Through experiments, we have proved that our ANMS is useful when new network objects are added or changed in the network environment to expand the network structure. Further, we have verified that our ANMS system reduces the time and cost required to develop a network management program as compared to the manual method used in existing network management systems.

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A Study on Development of Enhancement Guidelines of Smart Application Accessibility for the Disabled (장애인을 위한 스마트 애플리케이션 접근성 향상 가이드라인 개발 연구)

  • Jun, Woochun
    • Journal of The Korean Association of Information Education
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    • v.19 no.1
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    • pp.69-76
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    • 2015
  • In current information society, there is a barrier called digital divide. Due to this barrier, the disabled have difficulties to communicate with the world. Recently, with advanced smart techniques, smart devices become necessity for the disabled. Currently improvements of smart application accessibility become a great concern for the disabled. The purpose of this paper is to present some guidelines for enhancing smart application accessibility for the disabled. The enhancement guidelines are developed based on the existing mobile accessibility guidelines and modified for better adaptability for the disabled. Our principles are as follows: minimizing blue light emission from smart devices, automatic focus on input window, action trace, font color change, emergency notification by motion, gesture recognition, control location, scrolling avoidance, auditory service for visual warning, and icon literation.