• Title/Summary/Keyword: motivating

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Green Device to Device Task Management Framework by Mobile Edge Computing in IoT Environment (IoT 환경에서 모바일 엣지 컴퓨팅을 통한 디바이스간 타스크 관리 프레임워크)

  • Ko, Kwang-Man;Ranji, Ramtin;Mansoor, Ali;Kim, Soon-Gohn
    • Proceedings of the Korea Information Processing Society Conference
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    • 2018.05a
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    • pp.85-87
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    • 2018
  • Motivating by two promising technique of 5G, namely D2D and Edge computing, and the above mentioned problem of the current joint studies, We believe that more study is needed on the benefits of joining these two techniques in a single framework by more precisely taking into account the energy needed to computation, sending data, receiving data and as a result achieving more realistic energy efficiency in 5G cellular networks.

Determinants of Tourists' Revisit Intention in Domestic Tourism

  • Kim, Wonsik
    • International Journal of Advanced Culture Technology
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    • v.9 no.3
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    • pp.74-80
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    • 2021
  • This study is to examine the determinants of tourists' revisit intention focusing on behavioral and psychological factors. Many studies have found physical conditions affecting tourists' intention to revisit. The study examines the determinants of tourist's revisit intention in terms of tourists' psychological and behavioral elements such as satisfaction and motivation. The data used for the statistical analyses were from a survey targeting people living in Daegu and Pusan metropolitan cities and some cities of Gyeongsangbuk-do and Gyeongsangnam-do provinces in Korea. The study employs regression analysis to investigate the effect of satisfaction and motivations on tourists' revisit intention. As the results of OLS regression analysis, satisfaction, push and pull motivation are predictors of tourists' revisit intention. It shows that tourists' psychological and behavioral factors have a significant impact on tourists' revisit intention. The study suggests the implications for enhancing tourists' revisit intention by motivating tourists' psychological and behavioral needs.

Green Employee Empowerment? Driving and Inhibiting Factors for Green Employee Performance

  • ADI, Nyoman Rasmen;MULYADI, Made;SETINI, Made;ASTAWA, Nengah Dasi
    • The Journal of Asian Finance, Economics and Business
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    • v.8 no.5
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    • pp.293-302
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    • 2021
  • Being able to survive during the Covid19 pandemic is a big task for a company, as such, empowerment of employees is a must. The sample in this study was 300 employees who worked in Spas throughout Bali. The sampling technique was purposive sampling. Data analysis was using SEM and SMARTS as data processing. The results showed that green communication, namely communication that occurs between employees, superiors, and the environment, has a very good influence on the sustainability of employee performance. To become green management, a green organizational commitment that cares about the safety of employee health and the environment is an important factor as motivation in green dedication or positive employee productivity, but communication between work actors and justice is also a motivating factor. Work safety and job security for employees empower employees (which is a green line), especially for freelance work organizations so that further research in subsequent studies can make samples in a more varied industrial sector.

The Motivating Role of Sentiment in ESG Performance: Evidence from Japanese Companies

  • Vuong, Ngoc Bao;Suzuki, Yoshihisa
    • East Asian Economic Review
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    • v.25 no.2
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    • pp.125-150
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    • 2021
  • The paper investigates investor sentiment's role in boosting Japanese companies to enhance their environmental, social, and corporate governance (ESG) performance. Using ESG scores of 367 firms between 2005 and 2019 from the ASSET4 database, we find that negative sentiment in the previous year, both firm and market level, can be a stimulation for the company's commitments to its ESG activities next year. Notably, the moderating effect of the business sector and economic cycle on the sentiment-ESG inference are detected in our study differentiating between corporate and market sentiment, which have never been reported before. In detail, we discover that the impact of firm-specific sentiment is less pronounced for high-sensitive ESG firms. On the other hand, the driving force of market sentiment on corporate social behaviors weakens when economic recessions happen. Our results are robust after controlling for potential endogeneity issues and using alternative proxies for market sentiment.

Stretchable Electronic Devices for Wearable Diagnosis and Rehabilitation Applications (웨어러블 진단 및 재활 응용을 위한 신축성 전자소자 기술)

  • Park, C.W.;Koo, J.B.;Lee, J.I.;Park, H.S.
    • Electronics and Telecommunications Trends
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    • v.34 no.5
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    • pp.48-57
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    • 2019
  • As the super-aged society approaches rapidly, the number of people suffering from post-stroke and other neurological disorders is significantly increasing, where prompt and intensive rehabilitation is essential for such people to resume their physical activities in normal daily lives. To overcome the inherent limitations of manual physical therapy, various types of exoskeleton robots are being employed. However, the need of the hour is softer, thinner, lighter, and even stretchable systems for precisely monitoring the motion of each joint without restricting the patients' movements in rehabilitation tasks. In this paper, we discuss the technological trends and current status of emerging stretchable rehabilitation systems, in which sensors, interconnects, and signal-processing circuits are monolithically integrated within a single stretchable substrate attachable to the skin. Such skin-like stretchable rehabilitation devices are expected to provide much more convenient, user-friendly, and motivating rehabilitation to patients with neurological impairments.

FERMATEAN FUZZY TOPOLOGICAL SPACES

  • IBRAHIM, HARIWAN Z.
    • Journal of applied mathematics & informatics
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    • v.40 no.1_2
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    • pp.85-98
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    • 2022
  • The purpose of this paper is to introduce the notion of Fermatean fuzzy topological space by motivating from the notion of intuitionistic fuzzy topological space, and define Fermatean fuzzy continuity of a function defined between Fermatean fuzzy topological spaces. For this purpose, we define the notions of image and the pre-image of a Fermatean fuzzy subset with respect to a function and we investigate some basic properties of these notions. We also construct the coarsest Fermatean fuzzy topology on a non-empty set X which makes a given function f from X into Y a Fermatean fuzzy continuous where Y is a Fermatean fuzzy topological space. Finally, we introduce the concept of Fermatean fuzzy points and study some types of separation axioms in Fermatean fuzzy topological space.

Speech Emotion Recognition Based on Deep Networks: A Review (딥네트워크 기반 음성 감정인식 기술 동향)

  • Mustaqeem, Mustaqeem;Kwon, Soonil
    • Proceedings of the Korea Information Processing Society Conference
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    • 2021.05a
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    • pp.331-334
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    • 2021
  • In the latest eras, there has been a significant amount of development and research is done on the usage of Deep Learning (DL) for speech emotion recognition (SER) based on Convolutional Neural Network (CNN). These techniques are usually focused on utilizing CNN for an application associated with emotion recognition. Moreover, numerous mechanisms are deliberated that is based on deep learning, meanwhile, it's important in the SER-based human-computer interaction (HCI) applications. Associating with other methods, the methods created by DL are presenting quite motivating results in many fields including automatic speech recognition. Hence, it appeals to a lot of studies and investigations. In this article, a review with evaluations is illustrated on the improvements that happened in the SER domain though likewise arguing the existing studies that are existence SER based on DL and CNN methods.

Motivating the Workforce in a Precarious Time: Focusing on Career Self-Help Advice in the U.S.

  • Jeongsuk Joo
    • International Journal of Advanced Culture Technology
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    • v.12 no.2
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    • pp.104-109
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    • 2024
  • In this paper, we examine American career self-help advice in the context of white-collar labor market changes in the U.S., especially how it tries to motivate and empower white-collar job seekers and how fundamentally flawed this is. In this regard, we focus on What Color Is Your Parachute? by Richard Nelson Bolles, as it is the foundational and representative literature in the field of career self-help advice. We first look at the white-collar labor market changes in the U.S. and the growth of career self-help advice along with its influence. We then show that What Color Is Your Parachute? seeks to motivate and inspire job seekers by defining job searching in individual terms and overlooking its structural nature. From this, we point out the most problematic aspect of career self-held advice, i.e., shifting job search responsibility as well as its outcome solely to individual job seekers, while also making it difficult to scrutinize and understand the broader context affecting job searching.

Host-Pathogen Interactions Operative during Mycobacteroides abscessus Infection

  • Eun-Jin Park;Prashanta Silwal;Eun-Kyeong Jo
    • IMMUNE NETWORK
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    • v.21 no.6
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    • pp.40.1-40.20
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    • 2021
  • Mycobacteroides abscessus (previously Mycobacterium abscessus; Mabc), one of rapidly growing nontuberculous mycobacteria (NTM), is an important pathogen of NTM pulmonary diseases (NTM-PDs) in both immunocompetent and immunocompromised individuals. Mabc infection is chronic and often challenging to treat due to drug resistance, motivating the development of new therapeutics. Despite this, there is a lack of understanding of the relationship between Mabc and the immune system. This review highlights recent progress in the molecular architecture of Mabc and host interactions. We discuss several microbial components that take advantage of host immune defenses, host defense pathways that can overcome Mabc pathogenesis, and how host-pathogen interactions determine the outcomes of Mabc infection. Understanding the molecular mechanisms underlying host-pathogen interactions during Mabc infection will enable the identification of biomarkers and/or drugs to control immune pathogenesis and protect against NTM infection.

A study on a model of intercultural learning contents and methods

  • Jong Youl Hong
    • Smart Media Journal
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    • v.13 no.4
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    • pp.104-113
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    • 2024
  • This study is a model study on the contents and methods of intercultural learning. Starting with a discussion of the intercultural learning model construct, it presents key contents important for intercultural learning and learning methods that can increase the effectiveness of intercultural learning. Also, we actually conducted the above learning program at the learning site and discussed the observations and results. It was a case study that allowed us to test the effectiveness of cultural intelligence theory, the latest theory that can improve intercultural competency. In addition, in order for the cultural intelligence theory to be effective in the learning process, it was found that the PBL method, which allows learners to solve problems on their own, rather than cramming education, is useful. Additionally, it was found that the ARCS model was also very effective in motivating and maintaining learners' continuous motivation. At this time, the instructor was also able to see that the effect increases when the role of catalyst becomes the main one.