• Title/Summary/Keyword: SMT component

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Survey of Trust Management System in Internet of Things

  • Meghana P.Lokhande;Dipti Durgesh Patil;Sonali Tidke
    • International Journal of Computer Science & Network Security
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    • v.24 no.3
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    • pp.53-58
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    • 2024
  • The Internet of Things (IoT) enables the connection of millions of disparate devices to the World Wide Web. To perform the task, a lot of smart gadgets must work together. The gadgets recognize other devices as part of their network service. Keeping participating devices safe is a crucial component of the internet of things. When gadgets communicate with one another, they require a promise of confidence. Trust provides certainty that the gadgets or objects will function as expected. Trust management is more difficult than security management. This review includes a thorough examination of trust management in a variety of situations.

Human Spatial Cognition Using Visual and Auditory Stimulation

  • Yu, Mi;Piao, Yong-Jun;Kim, Yong-Yook;Kwon, Tae-Kyu;Hong, Chul-Un;Kim, Nam-Gyun
    • International Journal of Precision Engineering and Manufacturing
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    • v.7 no.2
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    • pp.41-45
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    • 2006
  • This paper deals with human spatial cognition using visual and auditory stimulation. More specially, this investigation is to observe the relationship between the head and the eye motor system for the localization of visual target direction in space and to try to describe what is the role of right-side versus left-side pinna. In the experiment of visual stimulation, nineteen red LEDs (Luminescent Diodes, Brightness: $210\;cd/^2$) arrayed in the horizontal plane of the surrounding panel are used. Here the LEDs are located 10 degrees apart from each other. Physiological parameters such as EOG (Electro-Oculography), head movement, and their synergic control are measured by BIOPAC system and 3SPACE FASTRAK. In the experiment of auditory stimulation, one side of the pinna function was distorted intentionally by inserting a short tube in the ear canal. The localization error caused by right and left side pinna distortion was investigated as well. Since a laser pointer showed much less error (0.5%) in localizing target position than FASTRAK (30%) that has been generally used, a laser pointer was used for the pointing task. It was found that harmonic components were not essential for auditory target localization. However, non-harmonic nearby frequency components was found to be more important in localizing the target direction of sound. We have found that the right pinna carries out one of the most important functions in localizing target direction and pure tone with only one frequency component is confusing to be localized. It was also found that the latency time is shorter in self moved tracking (SMT) than eye alone tracking (EAT) and eye hand tracking (EHT). These results can be used in further study on the characterization of human spatial cognition.

The Method to Reduce the Driving Time of Gentry (겐트리 구동시간의 단축 방법)

  • Kim, Soon Ho;Kim, Chi Su
    • KIPS Transactions on Software and Data Engineering
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    • v.7 no.11
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    • pp.405-410
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    • 2018
  • When more parts are mounted in the same time in a surface mount equipment, the total output will increase and will improve productivity. In this paper, we propose a method to reduce the gantry drive time from the suction to the mounting of the component to improve the productivity of the surface mount equipment. The method was to find a way to get the maximum velocity in front of the camera during the vision inspection. In this paper, we have developed a stop-motion, fly1-motion, and fly2-motion drive time calculation algorithms for vision inspection and calculated the driving time of 3 methods and compared them. As a result, the fly1-motion method shortened the time by 13% and the fly2-motion method shortened the time by 18% than the stop-motion method.

Development of deep learning network based low-quality image enhancement techniques for improving foreign object detection performance (이물 객체 탐지 성능 개선을 위한 딥러닝 네트워크 기반 저품질 영상 개선 기법 개발)

  • Ki-Yeol Eom;Byeong-Seok Min
    • Journal of Internet Computing and Services
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    • v.25 no.1
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    • pp.99-107
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    • 2024
  • Along with economic growth and industrial development, there is an increasing demand for various electronic components and device production of semiconductor, SMT component, and electrical battery products. However, these products may contain foreign substances coming from manufacturing process such as iron, aluminum, plastic and so on, which could lead to serious problems or malfunctioning of the product, and fire on the electric vehicle. To solve these problems, it is necessary to determine whether there are foreign materials inside the product, and may tests have been done by means of non-destructive testing methodology such as ultrasound ot X-ray. Nevertheless, there are technical challenges and limitation in acquiring X-ray images and determining the presence of foreign materials. In particular Small-sized or low-density foreign materials may not be visible even when X-ray equipment is used, and noise can also make it difficult to detect foreign objects. Moreover, in order to meet the manufacturing speed requirement, the x-ray acquisition time should be reduced, which can result in the very low signal- to-noise ratio(SNR) lowering the foreign material detection accuracy. Therefore, in this paper, we propose a five-step approach to overcome the limitations of low resolution, which make it challenging to detect foreign substances. Firstly, global contrast of X-ray images are increased through histogram stretching methodology. Second, to strengthen the high frequency signal and local contrast, we applied local contrast enhancement technique. Third, to improve the edge clearness, Unsharp masking is applied to enhance edges, making objects more visible. Forth, the super-resolution method of the Residual Dense Block (RDB) is used for noise reduction and image enhancement. Last, the Yolov5 algorithm is employed to train and detect foreign objects after learning. Using the proposed method in this study, experimental results show an improvement of more than 10% in performance metrics such as precision compared to low-density images.

A Study of Post Electrode Formation by Microwave Sintering in LTCC Substrate (마이크로파 소결법을 이용한 LTCC 기판 Post 전극 형성에 관한 연구)

  • Kim, Yong-Suk;Lee, Taek-Jung;Yoo, Won-Hee;Chang, Byeung-Gyu;Park, Sung-Yeol;Oh, Yong-Soo
    • Journal of the Microelectronics and Packaging Society
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    • v.14 no.4
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    • pp.43-48
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    • 2007
  • This study is focused on the effect of the surface properties for the post electrode, which is used in pad formation consisted of SMT such as IC, passive component, combined with fired LTCC substrate, We carried out the surface microstructure of sintered electrode and the basic reliability evaluations with sample fired by microwave sintering to solve the problems occurred in post electrode by electric sintering. We evaluated surface densification status of post electrode according to various conditions of microwave sintering. In additions, it is obtained strong effect on blister improvement of post electrode because of over-sintering and the insufficient out gas in bum out process. As a result of adhesion strength, we confirmed $44.3N/mm^2$ in microwave sintering and $34.5N/mm^2$ in electric sintering, respectively. This result will be used for the basic reliability test. Finally, microwave sintering seems to be economic in process time with 30 min compared to electric sintering with 10 hr. In terms of Mass production and efficiency, microwave sintering are excepted to be higher than electric sintering.

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