• Title/Summary/Keyword: remote communication

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Issue Analysis on the Deregulation of Telemedicine in the Digital Convergence Era (디지털 융복합시대에 원격의료 규제 완화에 관한 쟁점 분석)

  • Kim, Jin-Suk;Oh, Su-Hyun
    • Journal of Digital Convergence
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    • v.18 no.12
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    • pp.445-457
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    • 2020
  • The purpose of this study is to analyze various issues that may arise from the recent deregulation of telemedicine implemented by the government, propose initiative preparations for the implementation of telemedicine policies, and suggest implications for the basic conditions and direction of the deregulation of telemedicine. Recently, deregulation policy cases in telemedicine include that designation of a special zone for regulatory freedom in Gangwon Province, allowing physician-patient telemedicine and telephone counseling and prescription cases in the COVID-19 crisis. There are four main issues that could arise with the deregulation of telemedicine: safety, effectiveness, differences in access to health care and the economic industry, and legal responsibility. As a initiative preparation, this study proposed a pilot project for telemedicine and enhanced support for face-to-face care complementary tools, vitalizing remote co-operation, policy model that do not disrupt the medical delivery system, and legal maintenance. In conclusion, as a suggestion of basic premise and direction in the implementation of telemedicine deregulation, the implementation of initiative measures to address issues concerning telemedicine, the review and regulation of conditions to be considered in the implementation of telemedicine, and the establishment of a close communication and cooperative sturcture with medical providers.

The Future of Countermobility Capability with a Literature Analysis from FASCAM to Terrain Shaping Obstacle(TSO) (미래 대기동 작전 능력의 발전방안 연구 -살포식지뢰(FASCAM)로부터 지형 조성 장애물(TSO) 전력을 중심으로-)

  • Park, Byoung-Ho;Sim, Jaeseong
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.22 no.6
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    • pp.291-298
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    • 2021
  • In this study, the future of countermobility capability is presented by analyzing the status of the countermobility obstacles focusing on the history of landmines and munitions. The conventional landmine was forbidden globally by the CCW and Ottawa Treaty because it caused civilian damage after the war. Because the inhumanity of those mines had been acknowledged, shatterable mines with a self-destruct (SD) function and M93 "HORNET" anti-tank munition with enhanced sensors have been fielded. In 2016, the Obama administration announced a policy that banned all antipersonnel landmines, leaving a considerable gap in the countermobility capability. To deal with these problems, the developments of "SAVO" and the SLEP program of Volcano mines were conducted. In the sense of a long-term approach, the countermobility obstacles, including mines, were chosen as fundamental forces for Multi-Domain Operations and were improved to Terrain Shaping Obstacles (TSO). TSO has improved sensors and mobility kill capabilities and features an enhanced remote control over each munition on the battlefield through a network established with satellite communication. The combined arms countermobility might be fully capable until 2050 if the TSO program can be completed successfully.

Analysis of news bigdata on 'Gather Town' using the Bigkinds system

  • Choi, Sui
    • Journal of the Korea Society of Computer and Information
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    • v.27 no.3
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    • pp.53-61
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    • 2022
  • Recent years have drawn a great attention to generation MZ and Metaverse, due to 4th industrial revolution and the development of digital environment that blurs the boundary between reality and virtual reality. Generation MZ approaches the information very differently from the existing generations and uses distinguished communication methods. In terms of learning, they have different motivations, types, skills and build relationships differently. Meanwhile, Metaverse is drawing a great attention as a teaching method that fits traits of gen MZ. Thus, the current research aimed to investigate how to increase the use of Metaverse in Educational Technology. Specifically, this research examined the antecedents of popularity of Gather Town, a platform of Metaverse. Big data of news articles have been collected and analyzed using the Bigkinds system provided by Korea Press Foundation. The analysis revealed, first, a rapid increasing trend of media exposure of Gather Town since July 2021. This suggests a greater utilization of Gather Town in the field of education after the COVID-19 pandemic. Second, Word Association Analysis and Word Cloud Analysis showed high weights on education related words such as 'remote', 'university', and 'freshman', while words like 'Metaverse', 'Metaverse platform', 'Covid19', and 'Avatar' were also emphasized. Third, Network Analysis extracted 'COVID19', 'Avatar', 'University student', 'career', 'YouTube' as keywords. The findings also suggest potential value of Gather Town as an educational tool under COVID19 pandemic. Therefore, this research will contribute to the application and utilization of Gather Town in the field of education.

Deep Learning Based Group Synchronization for Networked Immersive Interactions (네트워크 환경에서의 몰입형 상호작용을 위한 딥러닝 기반 그룹 동기화 기법)

  • Lee, Joong-Jae
    • KIPS Transactions on Computer and Communication Systems
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    • v.11 no.10
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    • pp.373-380
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    • 2022
  • This paper presents a deep learning based group synchronization that supports networked immersive interactions between remote users. The goal of group synchronization is to enable all participants to synchronously interact with others for increasing user presence Most previous methods focus on NTP-based clock synchronization to enhance time accuracy. Moving average filters are used to control media playout time on the synchronization server. As an example, the exponentially weighted moving average(EWMA) would be able to track and estimate accurate playout time if the changes in input data are not significant. However it needs more time to be stable for any given change over time due to codec and system loads or fluctuations in network status. To tackle this problem, this work proposes the Deep Group Synchronization(DeepGroupSync), a group synchronization based on deep learning that models important features from the data. This model consists of two Gated Recurrent Unit(GRU) layers and one fully-connected layer, which predicts an optimal playout time by utilizing the sequential playout delays. The experiments are conducted with an existing method that uses the EWMA and the proposed method that uses the DeepGroupSync. The results show that the proposed method are more robust against unpredictable or rapid network condition changes than the existing method.

A Study on the Cerber-Type Ransomware Detection Model Using Opcode and API Frequency and Correlation Coefficient (Opcode와 API의 빈도수와 상관계수를 활용한 Cerber형 랜섬웨어 탐지모델에 관한 연구)

  • Lee, Gye-Hyeok;Hwang, Min-Chae;Hyun, Dong-Yeop;Ku, Young-In;Yoo, Dong-Young
    • KIPS Transactions on Computer and Communication Systems
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    • v.11 no.10
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    • pp.363-372
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    • 2022
  • Since the recent COVID-19 Pandemic, the ransomware fandom has intensified along with the expansion of remote work. Currently, anti-virus vaccine companies are trying to respond to ransomware, but traditional file signature-based static analysis can be neutralized in the face of diversification, obfuscation, variants, or the emergence of new ransomware. Various studies are being conducted for such ransomware detection, and detection studies using signature-based static analysis and behavior-based dynamic analysis can be seen as the main research type at present. In this paper, the frequency of ".text Section" Opcode and the Native API used in practice was extracted, and the association between feature information selected using K-means Clustering algorithm, Cosine Similarity, and Pearson correlation coefficient was analyzed. In addition, Through experiments to classify and detect worms among other malware types and Cerber-type ransomware, it was verified that the selected feature information was specialized in detecting specific ransomware (Cerber). As a result of combining the finally selected feature information through the above verification and applying it to machine learning and performing hyper parameter optimization, the detection rate was up to 93.3%.

Study on the Plan to Reduce the EVENT of the Gas Regulator (정압기 EVENT 감소방안 연구)

  • Kang-ok Yun;Tae-jun Eom;Ki-beom Kim;Yong-woo Lee;Hyoung-Min Lee;Byeong-Geun Gong
    • Journal of the Korean Institute of Gas
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    • v.27 no.1
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    • pp.57-62
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    • 2023
  • The Gas Regulator EVENT is a signal sent by the Remote Terminal Unit(RTU) installed in each local gas regulator (hereinafter referred to as "regulator"), and is an abnormal alarm that can be intuitively checked in our client server. This is an important data that enables immediate dispatch order and initial action in the situation room when a regolator abnormality occurs, and can analyze the cause of the regulator abnormality. Looking at the trend of EVENT data for regulator over the past three years, there is a clear trend of increasing unchecked EVENT data. The increase in non-checking event (actual abnormality or noise event) may mean that firstly, mechanical or pressure abnormality occurs in the actual regulator, and secondly, there is no abnormality in the actual regulator, but communication error occurred in the RTU, reset. EVENT Data may be formed as if an abnormality occurred in the static voltage due to an error, sensor error, power failure (instantaneous power failure), etc. Among them, this study analyzed the recently generated unchecked EVENT data to identify critical noise events among RTU errors, which are noise events, and reviewed ways to increase the reliability of Regulator EVENTs by reducing them.

A Study on Factors Affecting Usage Intention of Metaverse Services in the Work Environment (업무환경에서의 메타버스 사용의도에 대한 영향요인 연구)

  • Wonsang Cho;Hyunchul Ahn
    • Knowledge Management Research
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    • v.23 no.4
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    • pp.251-273
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    • 2022
  • Metaverse is one of the most frequently used words recently, with digitalization accelerated by the COVID-19 pandemic that started in 2019 and the development of information and communication technology. It is expected to bring a new revolution in our life as a whole in user experience. In particular, as telecommuting was adopted in the business area, interest in virtual office services such as digital video conferencing and remote offices, which are similar to the metaverse, has also increased. In this study, a study on the intention to use the metaverse service used in the work environment was applied to the Unified Theory of Acceptance and Use of Technology 2(UTAUT2). External variables for metaverse characteristics, such as self-presentation, telepresence, and technostress, were analyzed and discussed. In this study, PC-based Gather.town and VR-based Facebook Horizon, currently the most well-known and considered usable in work environments, were introduced to potential users and conducted a survey. This study has academic implications in that the research has examined the factors that affect the technology acceptance intention of users who want to apply the metaverse as a work environment based on the UTAUT2 model, unlike previous studies that have been mainly researched on the general metaverse. In practice, it may be helpful to suggest factors that should be considered when firms adopt the metaverse for business purposes.

Low-Power Streamable AI Software Runtime Execution based on Collaborative Edge-Cloud Image Processing in Metaverse Applications (에지 클라우드 협동 이미지 처리기반 메타버스에서 스트리밍 가능한 저전력 AI 소프트웨어의 런타임 실행)

  • Kang, Myeongjin;Kim, Ho;Park, Jungwon;Yang, Seongbeom;Yun, Junseo;Park, Daejin
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.26 no.11
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    • pp.1577-1585
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    • 2022
  • As the interest in the 4th industrial revolution and metaverse increases, metaverse with multi edge structure is proposed and noted. Metaverse is a structure that can create digital doctor-like system through a large amount of image processing and data transmission in a multi edge system. Since metaverse application requires calculating performance, which can reconstruct 3-D space, edge hardware's insufficient calculating performance has been a problem. To provide streamable AI software in runtime, image processing, and data transmission, which is edge's loads, needs to be lightweight. Also lightweight at the edge leads to power consumption reduction of the entire metaverse application system. In this paper, we propose collaborative edge-cloud image processing with remote image processing method and Region of Interest (ROI) to overcome edge's power performance and build streamable and runtime executable AI software. The proposed structure was implemented using a PC and an embedded board, and the reduction of time, power, and network communications were verified.

Rural Systems Visioneering: Paradigm Shift from Flux Measurement to Sustainability Science (지역시스템 비저니어링: 플럭스 관측에서 지속가능성과학으로의 패러다임 전환)

  • Kim, Joon;Kang, Minseok;Oki, Taikan;Park, Eun Woo;Ichii, Kazuhito;Indrawati, Yohana Maria;Cho, Sungsik;Moon, Jihyun;Yoo, Wan Chol;Rhee, Jiyoung;Rhee, Herb;Njau, Karoli;Ahn, Sunghoon
    • Korean Journal of Agricultural and Forest Meteorology
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    • v.20 no.1
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    • pp.101-116
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    • 2018
  • Sustainability science is an emerging transdisciplinary research which necessitates not only the communication and collaboration of scientists, practitioners and stakeholders from different disciplines and interests, but also the paradigm shift from deterministic and reductionist approaches to the old basic. Ecological-societal systems (ESS) are co-evolving complex systems having many interacting parts (or agents) whose random interactions at local scale give rise to spontaneous emerging order at global scale (i.e., self-organization). Here, the flows of energy, matter and information between the systems and their surroundings play a key role. We introduce a conceptual framework for such continually morphing dynamical systems, i.e. self-organizing hierarchical open systems (SOHOs). To understand the structure and functionality of SOHOs, we revisit the two fundamental laws of physics. Re-interpretation of these principles helps understand the destiny and better path toward sustainability, and how to reconcile ecosystem integrity with societal vision and value. We then integrate the so-called visioneering (V) framework with that of SOHOs as feedback/feedforward loops so that 'a nudged self-organization' may guide systems' agents to work together toward sustainable ESS. Finally, example is given with newly endorsed Sustainable Development Goals (SDG) Lab (i.e., 'Rural systems visioneering') by Future Earth, which is now underway in rural villages in Tanzania.

A study on the implementation of Medical Telemetry systems using wireless public data network (무선공중망을 이용한 의료 정보 데이터 원격 모니터링 시스템에 관한 연구)

  • 이택규;김영길
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2000.10a
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    • pp.278-283
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    • 2000
  • As information communication technology developed we could check our blood pressure, pulsation electrocardiogram, SpO2 and blood test easily at home. To check our health at ordinary times is able though interlocking the house medical instrument with the wireless public data network This service will help the inconvenience to visit the hospital everytime and will save the individual's time and cost. In each house an organism data which is detected from the human body will be transmitted to the distance hospital and will be essentially applied through wireless public data network The medical information transmit system is utilized by wireless close range network It would transmit the obtained organism signal wirelessly from the personal device to the main center system in the hospital. Remote telemetry system is embodied by utilizing wireless media access protocol. The protocol is embodied by grafting CSMA/CA(Carrier Sense Multiple Access with Collision Avoidance) protocol falling mode which is standards from IEEE 802.11. Among the house care telemetry system which could measure blood pressure, pulsation, electrocardiogram, SpO2 the study embodies the ECC(electrocardiograph) measure part. It within the ECC function into the movable device and add 900㎒ band wireless public data interface. Then the aged, the patients even anyone in the house could obtain ECG and keep, record the data. It would be essential to control those who had a health-examination heart diseases or more complicated heart diseases and to observe the latent heart disease patient continuously. To embody the medical information transmit system which is based on wireless network. It would transmit the ECG data among the organism signal data which would be utilized by wireless network modem and NCL(Native Control Language) protocol to contact through wireless network Through the SCR(Standard Context Routing) protocol in the network it will be connected to the wired host computer. The computer will check the recorded individual information and the obtained ECC data then send the correspond examination to the movable device. The study suggests the medical transmit system model utilized by the wireless public data network.

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