• Title/Summary/Keyword: Scan Code

Search Result 77, Processing Time 0.024 seconds

A Study on Control system design for Automated Cultivation of product (농작물 재배 자동화를 위한 제어시스템 설계에 관한 연구)

  • Cho, Young Seok
    • Journal of Korea Society of Digital Industry and Information Management
    • /
    • v.10 no.1
    • /
    • pp.55-60
    • /
    • 2014
  • Today, there is increasing the elderly population in rural community, and people of returning from the urban to the rural community are demand to be of high value-added agriculture. In this time, there are required to regularization, standardization, automation, for getting of production of high value crops. In this paper, we are study for automation cultivation control system design for produce high-value crops. this system were designed of two parts that one part is measure and control unit, another part is server part for database and server side control. the main controller for measurement and control is used MC9S08AW60, server for Database and server-side control was using MySQL with CentOS. The source code of control program was coding C and compile with GCC. the functions of measurement and control unit are digital input and output each 8channels and can be scan-able of 20 Bit with 2CH/Sec. Analog Output were designed that can be output of 4-20mA or 0-5V on 4channel. The Digital input and output part were designed 8-channel, and using the high speed photo coupler and relays. We showed that system is possible to measure a 20bit data width, 2Ch/sec as 8 channel analog signals.

Analysis of Diagnosis Algorithm Implemented in TCU for High-Speed Tracked Vehicles (고속 무한궤도 차량용 변속제어기 진단 알고리즘 분석)

  • Jung, Gyuhong
    • Journal of Drive and Control
    • /
    • v.15 no.4
    • /
    • pp.30-38
    • /
    • 2018
  • Electronic control units (ECUs) are currently popular, and have evolved further towards the high-end application of autonomous vehicles in the automotive industry. Such digital technologies have also become widespread, in agriculture and construction equipment. Likewise, transmission control of high-speed tracked vehicles is based on the transmission control unit (TCU), performing complex gear change control functions, and diagnostic algorithms (a TCU's self-diagnostic and reporting capability of malfunction data through CAN communication). Since all functions of TCU are implemented by embedded-software, it is hardly possible to analyze specifications by reverse engineering. In this paper a real-time transmission simulator adaptable to TCU is presented, for analysis of diagnosis algorithm and standards. Signal simulation circuits are deliberately designed considering electrical characteristics of TCU inputs and various analysis tools, such as analog input auto scan function, and global output enable switch, are implemented in software. Test results from hardware-in-the-loop simulator verify tolerance time for each error, as well as cause of fault, error reset conditions.

Boost Mobile Banking Monthly Active Customers with Vending Machines (자판기로 모바일뱅킹 월별 고객 활성화)

  • Yongjie Zhu
    • Journal of Digital Policy
    • /
    • v.2 no.1
    • /
    • pp.1-7
    • /
    • 2023
  • In China, commercial banks have launched mobile banking one after another, and the homogeneous products make the competition of mobile banking extremely fierce. Mobile banking monthly active users (MAU) is an important indicator to evaluate the operation results of mobile banking. How to improve mobile banking monthly active users is a problem faced by commercial banks. The purpose of this study is to explore strategies to increase monthly active customers of mobile banking with the help of vending machines. This research is carried out through the literature method and case method. The research results show that the use of vending machines can not only effectively increase the monthly active customers of mobile banking, but also realize the differentiation strategy to occupy the mobile banking terminal market. At the same time, this study is helpful and instructive for commercial banks to develop their business.

Characterization of the 2.5 MeV ELV electron accelerator electron source angular distribution using 3-D dose measurement and Monte Carlo simulations

  • Chang M. Kang;Seung-Tae Jung;Seong-Hwan Pyo;Youjung Seo;Won-Gu Kang;Jin-Kyu Kim;Young-Chang Nho;Jong-Seok Park;Jae-Hak Choi
    • Nuclear Engineering and Technology
    • /
    • v.55 no.12
    • /
    • pp.4678-4684
    • /
    • 2023
  • Using the Monte Carlo method, the impact of the angular distribution of the electron source on the dose distribution for the 2.5 MeV ELV electron accelerator was explored. The experiment measured the 3-D dose distribution in the irradiation chamber for electron energies of 1.0 MeV and 2.5 MeV. The simulation used the MCNP6.2 code to evaluate three angular distribution models of the source: a mono-directional beam, a cone shape, and a triangular shape. Of the three models, the triangular shape with angles θ = 30°, φ = 0° best represents the angle of the scan hood through which the electron beam exits. The MCNP6.2 simulation results demonstrated that the triangular model is the most accurate representation of the angular distribution of the electron source for the 2.5 MeV ELV electron accelerator.

Implementation of Pattern Recognition Algorithm Using Line Scan Camera for Recognition of Path and Location of AGV (무인운반차(AGV)의 주행경로 및 위치인식을 위한 라인스캔카메라를 이용한 패턴인식 알고리즘 구현)

  • Kim, Soo Hyun;Lee, Hyung Gyu
    • Journal of Korea Society of Industrial Information Systems
    • /
    • v.23 no.1
    • /
    • pp.13-21
    • /
    • 2018
  • AGVS (Automated Guided Vehicle System) is a core technology of logistics automation which automatically moves specific objects or goods within a certain work space. Conventional AGVS generally requires the in-door localization system and each AGV equips expensive sensors such as laser, magnetic, inertial sensors for the route recognition and automatic navigation. thus the high installation cost is inevitable and there are many restrictions on route(path) modification or expansion. To address this issue, in this paper, we propose a cost-effective and scalable AGV based on a light-weight pattern recognition technique. The proposed pattern recognition technology not only enables autonomous driving by recognizing the route(path), but also provides a technique for figuring out the loc ation of AGV itself by recognizing the simple patterns(bar-code like) installed on the route. This significantly reduces the cost of implementing AGVS as well as benefiting from route modification and expansion. In order to verify the effectiveness of the proposed technique, we first implement a pattern recognition algorithm on a light-weight MCU(Micro Control Unit), and then verify the results by implementing an MCU_controlled AGV prototype.

High-Velocity Impact Damage Behavior of Carbon/Epoxy Composite Laminates

  • Kim, Young A.;Woo, Kyeongsik;Cho, Hyunjun;Kim, In-Gul;Kim, Jong-Heon
    • International Journal of Aeronautical and Space Sciences
    • /
    • v.16 no.2
    • /
    • pp.190-205
    • /
    • 2015
  • In this paper, the impact damage behavior of USN-150B carbon/epoxy composite laminates subjected to high velocity impact was studied experimentally and numerically. Square composite laminates stacked with $[45/0/-45/90]_{ns}$ quasi-symmetric and $[0/90]_{ns}$ cross-ply stacking sequences and a conical shape projectile with steel core, copper skin and lead filler were considered. First high-velocity impact tests were conducted under various test conditions. Three tests were repeated under the same impact condition. Projectile velocity before and after penetration were measured by infrared ray sensors and magnetic sensors. High-speed camera shots and C-Scan images were also taken to measure the projectile velocities and to obtain the information on the damage shapes of the projectile and the laminate specimens. Next, the numerical simulation was performed using explicit finite element code LS-DYNA. Both the projectile and the composite laminate were modeled using three-dimensional solid elements. Residual velocity history of the impact projectile and the failure shape and extents of the laminates were predicted and systematically examined. The results of this study can provide the understanding on the penetration process of laminated composites during ballistic impact, as well as the damage amount and modes. These were thought to be utilized to predict the decrease of mechanical properties and also to help mitigate impact damage of composite structures.

An Improved Method of Digital Watermarking Applied to Binary Printed Images (이진 프린트 영상에 적용하는 디지털 워터마킹의 성능 개선)

  • 김현주;곽내정;권혁봉;안재형
    • Journal of Korea Multimedia Society
    • /
    • v.4 no.3
    • /
    • pp.247-256
    • /
    • 2001
  • Digital watermarking is a copyright protection technique for digital images which embed a code into the digital data so the data is marked. Watermarking techniques previously deal with on-line digital data and have been developed to withstand digital attacks such image processing, compression and geometric transformation. In this paper we propose a novel method of embedding watermarks in printed images. In the proposed algorithm, watermark is embedded in a dithered binary image by comparing the $2\times{2}$ blocks of the counting array is the number of 1 (WHITE) in the $16\times{16}$ blocks of the dithered binary image with predefined reference block pattern, which is generated by watermark values. The proposed algorithm is able to provide more information at a watermark because the proposed algorithm use both '1'and '0' as watermark values. The watermark information is detected by comparing the watermark which is reconstructed from the image which is embedded watermark with the original watermark which is embedded in a binary image. The performance of the proposed algorithm is compared with that of the conventional watermark embedding algorithm for printed images by detecting watermark for scan images.

  • PDF

Parallel Multithreaded Processing for Data Set Summarization on Multicore CPUs

  • Ordonez, Carlos;Navas, Mario;Garcia-Alvarado, Carlos
    • Journal of Computing Science and Engineering
    • /
    • v.5 no.2
    • /
    • pp.111-120
    • /
    • 2011
  • Data mining algorithms should exploit new hardware technologies to accelerate computations. Such goal is difficult to achieve in database management system (DBMS) due to its complex internal subsystems and because data mining numeric computations of large data sets are difficult to optimize. This paper explores taking advantage of existing multithreaded capabilities of multicore CPUs as well as caching in RAM memory to efficiently compute summaries of a large data set, a fundamental data mining problem. We introduce parallel algorithms working on multiple threads, which overcome the row aggregation processing bottleneck of accessing secondary storage, while maintaining linear time complexity with respect to data set size. Our proposal is based on a combination of table scans and parallel multithreaded processing among multiple cores in the CPU. We introduce several database-style and hardware-level optimizations: caching row blocks of the input table, managing available RAM memory, interleaving I/O and CPU processing, as well as tuning the number of working threads. We experimentally benchmark our algorithms with large data sets on a DBMS running on a computer with a multicore CPU. We show that our algorithms outperform existing DBMS mechanisms in computing aggregations of multidimensional data summaries, especially as dimensionality grows. Furthermore, we show that local memory allocation (RAM block size) does not have a significant impact when the thread management algorithm distributes the workload among a fixed number of threads. Our proposal is unique in the sense that we do not modify or require access to the DBMS source code, but instead, we extend the DBMS with analytic functionality by developing User-Defined Functions.

Implementation of a backend system for real-time intravascular ultrasound imaging (실시간 혈관내초음파 영상을 위한 후단부 시스템 구현)

  • Park, Jun-Won;Moon, Ju-Young;Lee, Junsu;Chang, Jin Ho
    • The Journal of the Acoustical Society of Korea
    • /
    • v.37 no.4
    • /
    • pp.215-222
    • /
    • 2018
  • This paper reports the development and performance evaluation of a backend system for real-time IVUS (Intravascular Ultrasound) imaging. The developed backend system was designed to minimize the amount of logic and memory usage by means of efficient LUTs (Look-up Tables), and it was implemented in a single FPGA (Field Programmable Gate Array) without using external memory. This makes it possible to implement the backend system that is less expensive, smaller, and lighter. The accuracy of the backend system implemented was evaluated by comparing the output of the FPGA with the result computed using a MATLAB program implemented in the same way as the VHDL (VHSIC Hardware Description Language) code. Based on the result of ex-vivo experiment using rabbit artery, the developed backend system was found to be suitable for real-time intravascular ultrasound imaging.

Understanding Phytosanitary Irradiation Treatment of Pineapple Using Monte Carlo Simulation

  • Kim, Jongsoon;Kwon, Soon-Hong;Chung, Sung-Won;Kwon, Soon-Goo;Park, Jong-Min;Choi, Won-Sik
    • Journal of Biosystems Engineering
    • /
    • v.38 no.2
    • /
    • pp.87-94
    • /
    • 2013
  • Purpose: Pineapple is now the third most important tropical fruit in world production after banana and citrus. Phytosanitary irradiation is recognized as a promising alternative treatment to chemical fumigation. However, most of the phytosanitary irradiation studies have dealt with physiochemical properties and its efficacy. Accurate dose calculation is crucial for ensuring proper process control in phytosanitary irradiation. The objective of this study was to optimize phytosanitary irradiation treatment of pineapple in various radiation sources using Monte Carlo simulation. Methods: 3-D geometry and component densities of the pineapple, extracted from CT scan data, were entered into a radiation transport Monte Carlo code (MCNP5) to obtain simulated dose distribution. Radiation energy used for simulation were 2 MeV (low-energy) and 10 MeV (high-energy) for electron beams, 1.25 MeV for gamma-rays, and 5 MeV for X-rays. Results: For low-energy electron beam simulation, electrons penetrated up to 0.75 cm from the pineapple skin, which is good for controlling insect eggs laid just below the fruit surface. For high-energy electron beam simulation, electrons penetrated up to 4.5 cm and the irradiation area occupied 60.2% of the whole area at single-side irradiation and 90.6% at double-side irradiation. For a single-side only gamma- and X-ray source simulation, the entire pineapple was irradiated and dose uniformity ratios (Dmax/Dmin) were 2.23 and 2.19, respectively. Even though both sources had all greater penetrating capability, the X-ray treatment is safer and the gamma-ray treatment is more widely used due to their availability. Conclusions: These results are invaluable for optimizing phytosanitary irradiation treatment planning of pineapple.