• Title/Summary/Keyword: leverage

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Outdoor Smart Follow Cart using Bluetooth Function of Smartphone (스마트폰의 Bluetooth 기능을 활용한 실외용 스마트 팔로우 카트)

  • Kim, Ji-Hoon;Kim, Young-Bin;Choi, Seong-Rak;Han, Young-Oh
    • The Journal of the Korea institute of electronic communication sciences
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    • v.17 no.5
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    • pp.959-968
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    • 2022
  • In this paper, we intend to develop a cart with the convenience of moving objects or items that are difficult to hold by the hand of the disabled and the elderly from outdoor activities to a moving location. Using GPS module, DC motor, Bluetooth module, magnetometer sensor, and Blynk application, the smart follow cart was programmed to accurately know the owner's location while following the cart. The values of latitude and longitude of the magnetometer sensor are set so that the correct leverage value can be obtained in the lead for fine adjustment of the start and stop angles so that the user's position can be freely detected. The above motor driver L298n was connected to the motor to drive the DC motor at a fine angle. A smart follow cart was implemented that receives location signals according to the direction of the owner by turning on/off the mobile phone app as a switching role by connecting the GPS through Bluetooth wireless communication using a smartphone.

Why do Sovereign Wealth Funds Invest in Asia?

  • Zhang, Hongxia;Kim, Heeho
    • Journal of Korea Trade
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    • v.25 no.1
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    • pp.65-88
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    • 2021
  • Purpose - This paper aims to examine the determinants of SWFs' investment in Asian countries and to identify consistent investment patterns of SWFs in specific target firms from Asia, particularly China and South Korea. Design/methodology - This study extends the Tobin's Q model to examine the relationship between SWF investments in target firms and their returns with other firm-level control variables. We collect consistent data on SWF investments and the matched firm-level data on target firms, which of observation is 1,512 firms (333 in South Korea and 1,179 in China) targeted by 20 SWF sources during 1997-2017. The panel random effect model is used to estimate the extended Tobin's Q model. The robustness of the estimations is tested by the simultaneous equation models and the panel GEE model. Findings - The evidence shows that sovereign wealth funds are more inclined to invest in the financial sector with a monopoly position and in large firms with higher growth opportunity and superior cash asset ratios in China. In contrast to their investments in China, sovereign wealth funds in South Korea prefer to invest in strategic sectors, such as energy and information technology, and in large firms with high performance and low leverage. Sovereign wealth funds' investments tend to significantly improve the target firm's performance measured by sales growth and returns in both Korea and China. Originality/value - The existing literature focuses on examining the determination of SWFs investment in the developed countries, such as Europe and the United States. Our paper contributes to the literature in three ways; first, we analyzes case studies of SWF investments in Asian markets, which are less developed and riskier. Second, we examine whether the determination of SWF investment in Asian target firms depends on the different time periods, on types of sources of SWFs, and on acquiring countries. Third, our research uses vast sample data on target firms in longer time periods (1997-2017) than other previous studies on the SWFs for Asian markets.

A Study of the Relationship between City Branding and Event Content (도시 브랜딩과 이벤트 콘텐츠의 관계에 대한 연구)

  • Lim, Haewen
    • The Journal of the Korea Contents Association
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    • v.21 no.7
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    • pp.328-339
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    • 2021
  • In the age of global competition, city brand is a significant element for establishing a city's competitiveness. City branding is the process of building a storytelling about cities' content. Among the various contents that differentiate cities, this study seeks to discuss the role of an event and a city brand in the process of city branding based on the city marketing and event tourism literatures. This research uses grounded theory and a case study to examine Seoul exploring the changes in the Hi Seoul Festival and the Hi Seoul city brand over the last two decades. The qualitative research includes a secondary data analysis based on case studies from domestic and foreign regions and their festivals. The analytical results indicted three limitations: inconsistency, a lack of identity, and political leverage. Based on the limitations, this study discusses the importance of the connection between city identity and event content, suggesting implications for moving forward toward a stable Seoul city branding strategy for the Seoul Metropolitan Government.

Cross-Technology Localization: Leveraging Commodity WiFi to Localize Non-WiFi Device

  • Zhang, Dian;Zhang, Rujun;Guo, Haizhou;Xiang, Peng;Guo, Xiaonan
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.15 no.11
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    • pp.3950-3969
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    • 2021
  • Radio Frequency (RF)-based indoor localization technologies play significant roles in various Internet of Things (IoT) services (e.g., location-based service). Most such technologies require that all the devices comply with a specified technology (e.g., WiFi, ZigBee, and Bluetooth). However, this requirement limits its application scenarios in today's IoT context where multiple devices complied with different standards coexist in a shared environment. To bridge the gap, in this paper, we propose a cross-technology localization approach, which is able to localize target nodes using a different type of devices. Specifically, the proposed framework reuses the existing WiFi infrastructure without introducing additional cost to localize Non-WiFi device (i.e., ZigBee). The key idea is to leverage the interference between devices that share the same operating frequency (e.g., 2.4GHz). Such interference exhibits unique patterns that depend on the target device's location, thus it can be leveraged for cross-technology localization. The proposed framework uses Principal Components Analysis (PCA) to extract salient features of the received WiFi signals, and leverages Dynamic Time Warping (DTW), Gradient Boosting Regression Tree (GBRT) to improve the robustness of our system. We conduct experiments in real scenario and investigate the impact of different factors. Experimental results show that the average localization accuracy of our prototype can reach 1.54m, which demonstrates a promising direction of building cross-technology technologies to fulfill the needs of modern IoT context.

KAB: Knowledge Augmented BERT2BERT Automated Questions-Answering system for Jurisprudential Legal Opinions

  • Alotaibi, Saud S.;Munshi, Amr A.;Farag, Abdullah Tarek;Rakha, Omar Essam;Al Sallab, Ahmad A.;Alotaibi, Majid
    • International Journal of Computer Science & Network Security
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    • v.22 no.6
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    • pp.346-356
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    • 2022
  • The jurisprudential legal rules govern the way Muslims react and interact to daily life. This creates a huge stream of questions, that require highly qualified and well-educated individuals, called Muftis. With Muslims representing almost 25% of the planet population, and the scarcity of qualified Muftis, this creates a demand supply problem calling for Automation solutions. This motivates the application of Artificial Intelligence (AI) to solve this problem, which requires a well-designed Question-Answering (QA) system to solve it. In this work, we propose a QA system, based on retrieval augmented generative transformer model for jurisprudential legal question. The main idea in the proposed architecture is the leverage of both state-of-the art transformer models, and the existing knowledge base of legal sources and question-answers. With the sensitivity of the domain in mind, due to its importance in Muslims daily lives, our design balances between exploitation of knowledge bases, and exploration provided by the generative transformer models. We collect a custom data set of 850,000 entries, that includes the question, answer, and category of the question. Our evaluation methodology is based on both quantitative and qualitative methods. We use metrics like BERTScore and METEOR to evaluate the precision and recall of the system. We also provide many qualitative results that show the quality of the generated answers, and how relevant they are to the asked questions.

Analysis and implications on Ukrainian Military Intelligence Team's Decapitation Operation (우크라이나 군사정보팀의(Military Intelligence Team) 핀셋작전 분석과 시사점)

  • Cho, Sang Keun;Zhytko, Andrii;Park, Sung Jun;Kwon, Bum June;Seo, Kanh ll;Park, Sang-Hyuk
    • The Journal of the Convergence on Culture Technology
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    • v.8 no.6
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    • pp.435-439
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    • 2022
  • ROK has a lot to benchmark from how Ukraine is fighting Russia back with its tactical wins. They have taken a targeted strategy to strike Russia's top generals with high precision. To carry out this strategy, Ukraine is operating a Special Operations Force, which utilizes US/NATO forces, civilian and own resources for maximum impact. Of note, they utilize Starlink for seamless connection from detection, decision-making to strike to maximize operational efficiency. As ROK faces security threat of weapons of mass destruction, Ukraine's military intelligence organization set-up, weapons system and operations can provide some guidance on how to leverage its various SOF as well.

Digital Transformation, Business Model and Metaverse (디지털 전환, 비즈니스 모형 관점에서 본 메타버스)

  • Kim, Taekyung;Kim, Shinkon
    • Journal of Digital Convergence
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    • v.19 no.11
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    • pp.215-224
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    • 2021
  • Business stakeholders have shown huge interests on the way how to increase business value by integrating real world businesses with a rising metaverse concept. To understanding the utility of metaverse regarding digital transformation, this study conducted a qualitative study based on a metaverse framework from 2006 Metaverse Roadmap and reference theories on business models. Specifically, a multiple comparative case approach was adopted to investigate three metaverse application cases from 2000 to 2020. From findings, it was revealed that different metaverse features were tried to leverage traditional simulation games, social communities, and virtual communication activities to build business models. Secondly, the use of metaverse features were likely to be helpful in getting competitive advantages. However, we are also aware that stakeholder credibility should be carefully managed to sustain businesses.

A Study on Policy Support for Emergency Relief Grant for COVID-19 through Causal Loop Analyses (인과지도 분석을 통한 코로나-19의 소상공인 정책지원 연구)

  • Suh, Kyung-Do;Choi, Jung il;Choi, Pan-Am;Jung, Jaerim
    • Journal of the Korea Convergence Society
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    • v.13 no.5
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    • pp.531-539
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    • 2022
  • The government enforced policies such as social distancing and limiting business hours to prevent the spread of COVID-19. However, the impact of the long-term COVID-19 pandemic is causing more serious difficulties for small business owners. The government intended to relieve the business management pressure for small business owners by drawing up the COVID-19 emergency disaster relief funds. The funds provided temporary support for the small business owners, but the prolonged pandemic worsened the business management difficulties. Therefore, this study will apply fixes that fail and shifting the burden archetypes from the system archetype of system thinking for the exploratory deduction of policy measures as the policy leverage to effectively enhance the recovery of small business owners. In response to the situation, emergency financial aid for small business owners and support that can enhance the self-sustaining powers are required to heighten the recovery of small business owners.

Operating Voltage Prediction in Mobile Semiconductor Manufacturing Process Using Machine Learning (기계학습을 활용한 모바일 반도체 제조 공정에서 동작 전압 예측)

  • Inhwan Baek;Seungwoo Jang;Kwangsu Kim
    • Journal of the Semiconductor & Display Technology
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    • v.22 no.1
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    • pp.124-128
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    • 2023
  • Semiconductor engineers have long sought to enhance the energy efficiency of mobile semiconductors by reducing their voltage. During the final stages of the semiconductor manufacturing process, the screening and evaluation of voltage is crucial. However, determining the optimal test start voltage presents a significant challenge as it can increase testing time. In the semiconductor manufacturing process, a wealth of test element group information is collected. If this information can be controlled to predict the test voltage, it could lead to a reduction in testing time and increase the probability of identifying the optimal voltage. To achieve this, this paper is exploring machine learning techniques, such as linear regression and ensemble models, that can leverage large amounts of information for voltage prediction. The outcomes of these machine learning methods not only demonstrate high consistency but can also be used for feature engineering to enhance accuracy in future processes.

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The Trend of Digital Marketing Overseas Research: Focusing on SCOPUS DB (디지털 마케팅 해외 연구 동향: SCOPUS DB를 중심으로)

  • Ki-Hyuk, Yi;Bohyeon, Kang
    • Journal of Industrial Convergence
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    • v.20 no.11
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    • pp.11-17
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    • 2022
  • The development of digital technology is changing many things in our daily lives and the marketing environment of companies. Therefore, in this research, we grasp the recent overseas research trends of digital marketing. For that purpose, I would like to utilize SCOPUS, a foreign academic database, to grasp the research trends of digital marketing. As a result of the analysis, it was found that the number of digital marketing papers has been increasing continuously since 2013. In addition, as a result of topic modeling analysis, it was found that the 2nd and 4th topics were similar among the 6 topics in total, and the main topics were digital, marketing, research and so on. The results of this research are significant in that they provided information on digital marketing research trends to researchers and business practitioners. In addition, the results of this study provide practical suggestions for corporate marketers to recognize and leverage the importance of digital marketing.