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International Journal of u- and e- Service, Science and Technology

간행물 정보
  • 자료유형
    학술지
  • 발행기관
    보안공학연구지원센터(IJUNESST) [Science & Engineering Research Support Center, Republic of Korea(IJUNESST)]
  • pISSN
    2005-4246
  • 간기
    격월간
  • 수록기간
    2008 ~ 2016
  • 주제분류
    공학 > 컴퓨터학
  • 십진분류
    KDC 505 DDC 605
Vol.8 No.4 (33건)
No
31

Semi-automatic Web Service Classification Using Machine Learning

Jie Yang, Xianzhong Zhou

보안공학연구지원센터(IJUNESST) International Journal of u- and e- Service, Science and Technology Vol.8 No.4 2015.04 pp.339-348

※ 원문제공기관과의 협약기간이 종료되어 열람이 제한될 수 있습니다.

32

Detecting Storm Eyes of Advertisement Based on Sina Weibo

Jinhua Xiong, Fung Wong, Shijun Lee, Xing Yuan

보안공학연구지원센터(IJUNESST) International Journal of u- and e- Service, Science and Technology Vol.8 No.4 2015.04 pp.349-358

※ 원문제공기관과의 협약기간이 종료되어 열람이 제한될 수 있습니다.

With the development of micro-blog advertising industry, micro-blog ads present a new perspective to people. It is observed that the communication effect would be maximized only when the ads spread on optimization path consisted of some crucial nodes. Conse-quently we define these critical nodes as storm eyes of ads. Referring to the theory of the shortest path and scale-free characteristics of complex networks, we build a model to de-tect the storm eyes of ads based on the elements closely related to micro-blog ads, com-bined with the thought of dividing and conquering-merge. A detecting algorithm is pro-posed based on the model, the time complexity of which is just O (n). The dataset of our experiment obtained from SinaWeibo API has reached the number of 1 billion. And the results show that detection time is much less than artificial statistical approach on the premise of the algorithm with high detection accuracy.

33

Design Active Robot Controller for Dental Automation

Farzin Piltan, Sara Yekband, Rezvan Mirzaie, Samira Soltani, Nasri. B Sulaiman, Amin Jalali

보안공학연구지원센터(IJUNESST) International Journal of u- and e- Service, Science and Technology Vol.8 No.4 2015.04 pp.359-376

※ 원문제공기관과의 협약기간이 종료되어 열람이 제한될 수 있습니다.

Following the developments in industrial robot technology, robotics has found its way into the medical field and is used in a range of surgical disciplines. The main purpose of the use of robots is to increase the precision, quality and safety of surgical procedures. Robotics is not yet used in dentistry even though all the necessary technologies have already been developed and could easily be adapted. Some of the technologies are already used in dentistry, such as image-based simulation of implant surgery followed by the use of surgical guides, and creating digital impressions of pre parathions using an intra-oral scanner, after which a milling device produces the restoration, but we have not yet seen any robot able to prepare teeth for crowns, inlays or bridges. Such a robot would fundamentally be a dental drilling device coupled with a navigation device to determine the correct position of the device in relation to the patient. The robot would either be operated directly by a dentist or be preprogrammed to perform its functions based on imaging data (CT scan). Finally, an intra-oral scanner would be used to make digital impressions. This data would then be transferred to the lab to produce temporary crowns or bridges in a very short time using a milling machine and to manufacture the final restorations in much shorter time than with conventional procedures. Robotics could offer dentistry improved accuracy, predictability, safety, quality of care and speed of treatment. One might wonder why robots have not yet been introduced to dentistry, as the functions needed are relatively simple. An explanation could be that robotics in dentistry is an example of a disruptive technology, meaning that the current manufacturers of dental equipment might fear a negative effect on their current business and the alienation of dentists, as robots might be seen as a threat to dental professionals. The passive robotic arm will sense the patient’s movement, sending feedback in the form of translation and rotation data to the dental robot giving it the capability to adjust. This device will address the age-old problem in dentistry – precision and safety. This research focuses on the intelligent control of dental drilling procedures on a stationary object. This project addresses the ability of the system to detect movement of the object and accordingly adjust the drill before continuing the procedure.

 
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