• Title/Summary/Keyword: Computer-control

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Design and Implementation of a Hardware-based Transmission/Reception Accelerator for a Hybrid TCP/IP Offload Engine (하이브리드 TCP/IP Offload Engine을 위한 하드웨어 기반 송수신 가속기의 설계 및 구현)

  • Jang, Han-Kook;Chung, Sang-Hwa;Yoo, Dae-Hyun
    • Journal of KIISE:Computer Systems and Theory
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    • v.34 no.9
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    • pp.459-466
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    • 2007
  • TCP/IP processing imposes a heavy load on the host CPU when it is processed by the host CPU on a very high-speed network. Recently the TCP/IP Offload Engine (TOE), which processes TCP/IP on a network adapter instead of the host CPU, has become an attractive solution to reduce the load in the host CPU. There have been two approaches to implement TOE. One is the software TOE in which TCP/IP is processed by an embedded processor and the other is the hardware TOE in which TCP/IP is processed by a dedicated ASIC. The software TOE has poor performance and the hardware TOE is neither flexible nor expandable enough to add new features. In this paper we designed and implemented a hybrid TOE architecture, in which TCP/IP is processed by cooperation of hardware and software, based on an FPGA that has two embedded processor cores. The hybrid TOE can have high performance by processing time-critical operations such as making and processing data packets in hardware. The software based on the embedded Linux performs operations that are not time-critical such as connection establishment, flow control and congestions, thus the hybrid TOE can have enough flexibility and expandability. To improve the performance of the hybrid TOE, we developed a hardware-based transmission/reception accelerator that processes important operations such as creating data packets. In the experiments the hybrid TOE shows the minimum latency of about $19{\mu}s$. The CPU utilization of the hybrid TOE is below 6 % and the maximum bandwidth of the hybrid TOE is about 675 Mbps.

Mobile phone payment system using a light signal (휴대폰의 광원을 이용한 디지털 카드 시스템)

  • Hu, Moon-Heang;Shin, Moon-Sun;Ryu, Kuen-Ho
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.10 no.6
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    • pp.1237-1244
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    • 2009
  • In this paper, we proposed a mobile phone payment system using light signal containing payment related information. The digicard system we proposed creates virtual mobile card such as credit numbers and the created information is loaded in mobile phone. The virtual card information should be changed to pulse signal by light signal devices of mobile phone and the specific digicard system reader is able to read light signal. In recent years, a mobile phone payment system has been developed in order to provide user's convenience. But the mobile phone payment system has problems such as the production costs and complex and large size. In order to solve the aforementioned problems, we proposed mobile phone payment system being implemented by updating software without additional hardware modules. Therefore it is possible to apply the proposed digicard system to all kinds of mobile phone. Also encryption module is implemented to solve the problem of the security and privacy. According to an aspect of the present invention, there is provided a mobile phone payment system using a light signal containing payment-related information, comprising: a mobile phone; a photo receiver: and a control server.

Development of a CNN-based Cross Point Detection Algorithm for an Air Duct Cleaning Robot (CNN 기반 공조 덕트 청소 로봇의 교차점 검출 알고리듬 개발)

  • Yi, Sarang;Noh, Eunsol;Hong, Seokmoo
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.21 no.8
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    • pp.1-8
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    • 2020
  • Air ducts installed for ventilation inside buildings accumulate contaminants during their service life. Robots are installed to clean the air duct at low cost, but they are still not fully automated and depend on manpower. In this study, an intersection detection algorithm for autonomous driving was applied to an air duct cleaning robot. Autonomous driving of the robot was achieved by calculating the distance and angle between the extracted point and the center point through the intersection detection algorithm from the camera image mounted on the robot. The training data consisted of CAD images of the duct interior as well as the cross-point coordinates and angles between the two boundary lines. The deep learning-based CNN model was applied as a detection algorithm. For training, the cross-point coordinates were obtained from CAD images. The accuracy was determined based on the differences in the actual and predicted areas and distances. A cleaning robot prototype was designed, consisting of a frame, a Raspberry Pi computer, a control unit and a drive unit. The algorithm was validated by video imagery of the robot in operation. The algorithm can be applied to vehicles operating in similar environments.

A Study of an Association Admission Method for Public Wireless LAN Systems (고속 공중 무선랜 시스템을 위한 효율적인 연결 수락 제어방법의 연구)

  • Lee, Hyun-Woo;Yoon, Hong;Yoon, Chong-Ho
    • Journal of Advanced Navigation Technology
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    • v.7 no.2
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    • pp.149-155
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    • 2003
  • This paper generally relates to the field of wireless local area networks(WLANs), and more particularly, to AP selection and association methods for the performance of a station. In these days, IEEE 802.11 Wireless LAN network is widely deployed and used as an emerging service to connect high-speed Internet in the public wireless environment. But, if there are many users in hot spot area, they suffer a severe decrease of performance. Thus it needs an association and access control mechanism especially when it is used in the public environment. In this paper, we suggest a selection and association method using Beacon or Probe Response frames based IEEE 802.11. Station selects AP using the information of the capacity area in a Beacon or a Probe Response frame. According to the present paper, an association method for a public WLAN service, which includes a WLAN user terminal and an AP for relaying WLAN communications to and from the user terminal, includes the steps of the user terminal asking the AP's states for access to a radio channel; and the station selects and associates with the AP. According to the above-described selection in a high speed wireless Internet service based on public WLAN technologies that are currently in operations. Further, it is possible to improve the efficiency of network management.

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The Effects of the Attractiveness of an Internet Shopping Mall and Flow on Affective Commitment

  • Kang, Sung-Ju;Kim, Jae-Yeong;Park, Young-Kyun
    • Journal of Distribution Science
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    • v.9 no.4
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    • pp.29-42
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    • 2011
  • With the many advantages of the internet, online shopping has become one of the fastest growing types of retail businesses. However, internet-based firms are much more firmly required to retain existing customers rather than secure new ones, and to make them revisit the site by strengthening trust and loyalty, thereby improving profits and outrivaling competitors. Commitment is an essential part of successful long-term relationships between buyers and sellers. Although commitments by both parties in an exchange can provide the foundation for the development of relational social norms, disproportionate commitments can lead to opportunism by the less committed partner. Moreover, flow, which is characterized by intense concentration and enjoyment, was found to be significantly linked with exploratory use behavior, which in turn was linked to the extent of computer use. The level of flow was, itself, determined by the individual's sense of being in control, and the level of challenge perceived in maneuvering a website. Website attractiveness goes hand in hand with the attractiveness of an internet shopping mall, and it can be conceptualized as the persuasive effectiveness of a message by the use of familiarity, favor, similarity, etc. It occurs when information receivers try to achieve self-satisfaction when they actually or emotionally identify themselves with an information source. This study investigates the relationship between the perceived system characteristics of an internet shopping mall and the loyalty of online consumers, and it examines how perceived website attractiveness and flow play mediating roles between the perceived system characteristics of an internet shopping mall and the affective commitment in the context of a clothes internet shopping mall. For these purposes, a structural model comprising several variables was developed. That model was tested with an analysis of moment structure (AMOS) using data from respondents who had purchased clothing through the internet during the past three months. In this model, the perceived system characteristics of an internet shopping mall, such as familiarity, reputation, uniqueness, positive emotions, self-efficacy, and interactivity, were proposed to affect the website's attractiveness and flow, and lead to a higher affective commitment over time. Thus, the perceived website attractiveness and flow were proposed as core mediating variables between perceived system characteristics and affective commitment. The results of a reliability test using Cronbach's Alpha, and a confirmatory factor analysis warranted using unidimensionality for the measures for each construct. In addition, the nomological validity of the measures was warranted from the results of a correlation analysis. The results of empirical analyses indicated that systematic attributes resulting in website attractiveness and user's characteristics, thereby triggering customers' flow, play a crucial role in inducing customers' affective commitment, and a user's characteristics are twice as important as systematic attributes in this study. Moreover, familiarity, reputation, and uniqueness all have a significant effect on website attractiveness, and the research showed that uniqueness took the first place, and that familiarity and reputation followed in order of magnitude. The fact that reputation was not the most important factor that affects the attractiveness of an internet shopping mall, with uniqueness or familiarity having a greater impact, suggests much deeper implications. Finally, positive emotion, self-efficacy, and interactivity all have a significant effect on customers' flow. In particular, the fact that positive emotion, compared to self-efficacy or interactivity, has much more impact on flow is very suggestive.

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Design of Serendipity Service Based on Near Field Communication Technology (NFC 기반 세렌디피티 시스템 설계)

  • Lee, Kyoung-Jun;Hong, Sung-Woo
    • Journal of Intelligence and Information Systems
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    • v.17 no.4
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    • pp.293-304
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    • 2011
  • The world of ubiquitous computing is one in which we will be surrounded by an ever-richer set of networked devices and services. Especially, mobile phone now becomes one of the key issues in ubiquitous computing environments. Mobile phones have been infecting our normal lives more thoroughly, and are the fastest technology in human history that has been adapted to people. In Korea, the number of mobile phones registered to the telecom company, is more than the population of the country. Last year, the numbers of mobile phone sold are many times more than the number of personal computer sold. The new advanced technology of mobile phone is now becoming the most concern on every field of technologies. The mix of wireless communication technology (wifi) and mobile phone (smart phone) has made a new world of ubiquitous computing and people can always access to the network anywhere, in high speed, and easily. In such a world, people cannot expect to have available to us specific applications that allow them to accomplish every conceivable combination of information that they might wish. They are willing to have information they want at easy way, and fast way, compared to the world we had before, where we had to have a desktop, cable connection, limited application, and limited speed to achieve what they want. Instead, now people can believe that many of their interactions will be through highly generic tools that allow end-user discovery, configuration, interconnection, and control of the devices around them. Serendipity is an application of the architecture that will help people to solve a concern of achieving their information. The word 'serendipity', introduced to scientific fields in eighteenth century, is the meaning of making new discoveries by accidents and sagacity. By combining to the field of ubiquitous computing and smart phone, it will change the way of achieving the information. Serendipity may enable professional practitioners to function more effectively in the unpredictable, dynamic environment that informs the reality of information seeking. This paper designs the Serendipity Service based on NFC (Near Field Communication) technology. When users of NFC smart phone get information and services by touching the NFC tags, serendipity service will be core services which will give an unexpected but valuable finding. This paper proposes the architecture, scenario and the interface of serendipity service using tag touch data, serendipity cases, serendipity rule base and user profile.

Building an Analytical Platform of Big Data for Quality Inspection in the Dairy Industry: A Machine Learning Approach (유제품 산업의 품질검사를 위한 빅데이터 플랫폼 개발: 머신러닝 접근법)

  • Hwang, Hyunseok;Lee, Sangil;Kim, Sunghyun;Lee, Sangwon
    • Journal of Intelligence and Information Systems
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    • v.24 no.1
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    • pp.125-140
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    • 2018
  • As one of the processes in the manufacturing industry, quality inspection inspects the intermediate products or final products to separate the good-quality goods that meet the quality management standard and the defective goods that do not. The manual inspection of quality in a mass production system may result in low consistency and efficiency. Therefore, the quality inspection of mass-produced products involves automatic checking and classifying by the machines in many processes. Although there are many preceding studies on improving or optimizing the process using the data generated in the production process, there have been many constraints with regard to actual implementation due to the technical limitations of processing a large volume of data in real time. The recent research studies on big data have improved the data processing technology and enabled collecting, processing, and analyzing process data in real time. This paper aims to propose the process and details of applying big data for quality inspection and examine the applicability of the proposed method to the dairy industry. We review the previous studies and propose a big data analysis procedure that is applicable to the manufacturing sector. To assess the feasibility of the proposed method, we applied two methods to one of the quality inspection processes in the dairy industry: convolutional neural network and random forest. We collected, processed, and analyzed the images of caps and straws in real time, and then determined whether the products were defective or not. The result confirmed that there was a drastic increase in classification accuracy compared to the quality inspection performed in the past.

Analysis on the EMC evaluating method for applying wireless communications in NPP (원전 내 무선통신 적용에 대한 전자파 적합성 평가방법 분석)

  • Kang, SeungSeok;Lim, Tae Heung;Choo, Jaeyul;Kim, HyungTae;Kim, DaeHee;Byun, Gangil;Park, Jong Eon;Lee, Jun-Yong;Choo, Hosung
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.21 no.12
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    • pp.2221-2231
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    • 2017
  • In this paper, we surveyed previous cases, network protocols (such as Wi-Fi, Zigbee, Z-wave, and WirelessHart) and propagation characteristics on the application of maintaining equipments for instrumentation and control (I&C) using wireless communication techniques inside the nuclear power plant (NPP). In addition, we compared and analyzed the difference of detailed regulations with respect to the electromagnetic interference (EMI) and radio frequency interference (RFI) in the Regulatory Guide 1.180 rev. 1 (RG. 1.180) for adopting the wireless communication techniques inside the NPP, and other regulations, such as MIL-STD 461E and IEC 61000-4, that are recognized in the KINS/RG-N03.09 (Rev. 2). Furthermore, we investigated evaluating factors about electromagnetic properties by considering indoor environments, wave scattering, shielding effectiveness, and the indoor wave attenuation model that were not included in the current electromagnetic compatibility regulation.

Driver's Status Recognition Using Multiple Wearable Sensors (다중 웨어러블 센서를 활용한 운전자 상태 인식)

  • Shin, Euiseob;Kim, Myong-Guk;Lee, Changook;Kang, Hang-Bong
    • KIPS Transactions on Computer and Communication Systems
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    • v.6 no.6
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    • pp.271-280
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    • 2017
  • In this paper, we propose a new safety system composed of wearable devices, driver's seat belt, and integrating controllers. The wearable device and driver's seat belt capture driver's biological information, while the integrating controller analyzes captured signal to alarm the driver or directly control the car appropriately according to the status of the driver. Previous studies regarding driver's safety from driver's seat, steering wheel, or facial camera to capture driver's physiological signal and facial information had difficulties in gathering accurate and continuous signals because the sensors required the upright posture of the driver. Utilizing wearable sensors, however, our proposed system can obtain continuous and highly accurate signals compared to the previous researches. Our advanced wearable apparatus features a sensor that measures the heart rate, skin conductivity, and skin temperature and applies filters to eliminate the noise generated by the automobile. Moreover, the acceleration sensor and the gyro sensor in our wearable device enable the reduction of the measurement errors. Based on the collected bio-signals, the criteria for identifying the driver's condition were presented. The accredited certification body has verified that the devices has the accuracy of the level of medical care. The laboratory test and the real automobile test demonstrate that our proposed system is good for the measurement of the driver's condition.

Study of Perception on Programming and Computational Thinking and Attitude toward Science Learning of High School Students through Software Inquiry Activity: Focus on using Scratch and physical computing materials (소프트웨어 활용 탐구 활동을 통한 고등학생의 프로그래밍과 컴퓨팅 사고력에 대한 인식 변화와 과학 학습에 대한 태도 조사 -스크래치와 피지컬 컴퓨팅 교구의 활용을 중심으로-)

  • Hwang, Yohan;Mun, Kongju;Park, Yunebae
    • Journal of The Korean Association For Science Education
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    • v.36 no.2
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    • pp.325-335
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    • 2016
  • Software (SW) education is guided by the government to operate not only computer subject matter but also related subject matter. SW education is highlighted in the 2015 Revised Curriculum and Guide for Operating SW Education. SW education is related with science education. For example, education on algorithms employing SW and activities using sensors/output control can be an effective strategy for scientific inquiry. The method can also be applied in developing Computational Thinking (CT) in students. In this study, we designed lessons to solve everyday scientific problems using Educational Programming Language (EPL) SW and physical computing materials and applied them to high school students. We conducted surveys that were modified from questionnaires of Internet application capability and based on the standard of accomplishment of SW education as well as elements of CT to find out the change in perceptions on programming and CT of students. We also conducted a survey on students' attitude toward science learning after an SW inquiry activity. In the results, perceptions on programming and CT of students were improved through lessons using unplugged activity, EPL SW, and physical computing. In addition, scores for interest, self-directed learning ability, and task commitment were high.