• Title/Summary/Keyword: Autogen

Search Result 3, Processing Time 0.02 seconds

A Case Study of Hwa-Byung Has treated by Autogen Training (자율훈련법을 시행한 화병 환자 치험 1례)

  • Park, Se-Hwan;Hwang, Joeng-Hyun;Yun, Yeo-Guk;Kim, Geun-Woo;Koo, Byung-Soo;Kim, Bo-Ram
    • Journal of Oriental Neuropsychiatry
    • /
    • v.21 no.3
    • /
    • pp.139-149
    • /
    • 2010
  • Objectives : This study was performed to report the effect of Autogen training and Korean traditional treatment for Hwa-Byung. Methods : In this case, a 41 years old female patient has been suffered by Hwa-Byung symptoms for 20 years. We treated the patient with Korean traditional treatments(acupuncture, herb-medication and aroma theraphy), Autogen training and Korean traditional psychotherapy. The effects of treatment were measured by Beck Depression Inventory(BDI), Zung Depression Rating Scale(SDS), State-Trait Anxiety Inventory(STAI-X-1), SCL-90-R. Results : After treatment, the chief complaints and accompanying symptoms were subsided and improved. And BDI, SDS, STAI-X-1 score were decreased. Conclusions : According to this study, the Korean traditional treatment such as acupuncture, herb-medication and Autogen training are effective for the cure of Hwa-Byung.

A Design and Implementation of The Deep Learning-Based Senior Care Service Application Using AI Speaker

  • Mun Seop Yun;Sang Hyuk Yoon;Ki Won Lee;Se Hoon Kim;Min Woo Lee;Ho-Young Kwak;Won Joo Lee
    • Journal of the Korea Society of Computer and Information
    • /
    • v.29 no.4
    • /
    • pp.23-30
    • /
    • 2024
  • In this paper, we propose a deep learning-based personalized senior care service application. The proposed application uses Speech to Text technology to convert the user's speech into text and uses it as input to Autogen, an interactive multi-agent large-scale language model developed by Microsoft, for user convenience. Autogen uses data from previous conversations between the senior and ChatBot to understand the other user's intent and respond to the response, and then uses a back-end agent to create a wish list, a shared calendar, and a greeting message with the other user's voice through a deep learning model for voice cloning. Additionally, the application can perform home IoT services with SKT's AI speaker (NUGU). The proposed application is expected to contribute to future AI-based senior care technology.

The Effect of Mechanical Property of Tailor Welding Blank and Hot Press Forming Process by the Different Anti-oxidation Coating Treatment on Boron-steel Sheet (핫프레스포밍 공정에서 내산화 코팅처리가 TWB 용접부 특성에 미치는 영향)

  • Kim, Sang-Gweon;Lim, Ok-Dong;Lee, Jae-Hoon
    • Journal of the Korean Society for Heat Treatment
    • /
    • v.25 no.6
    • /
    • pp.283-291
    • /
    • 2012
  • In order to increase the anti-oxidation property during the tailor welding blanked hot press forming process for a high strength boron steel sheet, we performed a different coating method on the boron-steel sheet such as 87% Al - 13% Si and Fe - 8.87 Zn dipping plating procedure. However, during laser welding process, the Al-Si coated steel sheet has showed a low tensile strength and about half value of elongation than the original boron-steel sheet. Aluminum and silicon, elements of coating layer were diffused into the boron-steel matrix and have shown a low strength result than non-coated specimen. On the other hand, Zinc-coated boron-steel has expectedly showed a excellent tensile strength and micro-harness value in the welded area like original boron-steel.