• 제목/요약/키워드: Work Platforms

검색결과 225건 처리시간 0.024초

Performance Evaluation of Real-time Linux for an Industrial Real-time Platform

  • Jo, Yong Hwan;Choi, Byoung Wook
    • International journal of advanced smart convergence
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    • 제11권1호
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    • pp.28-35
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    • 2022
  • This paper presents a performance evaluation of real-time Linux for industrial real-time platforms. On industrial platforms, multicore processors are popular due to their work distribution efficiency and cost-effectiveness. Multicore processors, however, are not designed for applications with real-time constraints, and their performance capabilities depend on their core configurations. In order to assess the feasibility of a multicore processor for real-time applications, we conduct a performance evaluation of a general processor and a low-power processor to provide an experimental environment of real-time Linux on both Xenomai and RT-preempt considering the multicore configuration. The real-time performance is evaluated through scheduling latency and in an environment with loads on the CPU, memory, and network to consider an actual situation. The results show a difference between a low-power and a general-purpose processor, but from developer's point of view, it shows that the low-power processor is a proper solution to accommodate low power situations.

Dynamic quantitative risk assessment of accidents induced by leakage on offshore platforms using DEMATEL-BN

  • Meng, Xiangkun;Chen, Guoming;Zhu, Gaogeng;Zhu, Yuan
    • International Journal of Naval Architecture and Ocean Engineering
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    • 제11권1호
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    • pp.22-32
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    • 2019
  • On offshore platforms, oil and gas leaks are apt to be the initial events of major accidents that may result in significant loss of life and property damage. To prevent accidents induced by leakage, it is vital to perform a case-specific and accurate risk assessment. This paper presents an integrated method of Ddynamic Qquantitative Rrisk Aassessment (DQRA)-using the Decision Making Trial and Evaluation Laboratory (DEMATEL)-Bayesian Network (BN)-for evaluation of the system vulnerabilities and prediction of the occurrence probabilities of accidents induced by leakage. In the method, three-level indicators are established to identify factors, events, and subsystems that may lead to leakage, fire, and explosion. The critical indicators that directly influence the evolution of risk are identified using DEMATEL. Then, a sequential model is developed to describe the escalation of initial events using an Event Tree (ET), which is converted into a BN to calculate the posterior probabilities of indicators. Using the newly introduced accident precursor data, the failure probabilities of safety barriers and basic factors, and the occurrence probabilities of different consequences can be updated using the BN. The proposed method overcomes the limitations of traditional methods that cannot effectively utilize the operational data of platforms. This work shows trends of accident risks over time and provides useful information for risk control of floating marine platforms.

Role of e-Learning Environments in Training Applicants for Higher Education in the Realities of Large-Scale Military Aggression

  • Nataliia Bakhmat;Maryna Burenko;Volodymyr Krasnov;Larysa Olianych;Dmytro Balashov;Svitlana Liulchak
    • International Journal of Computer Science & Network Security
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    • 제23권12호
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    • pp.167-174
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    • 2023
  • Electronic educational environments in the conditions of quarantine restrictions of COVID-19 have become a common phenomenon for the organization of distance educational activities. Under the conditions of Russian aggression, Ukrainian proof of their use is unique. The purpose of the article is to analyze the role of electronic educational environments in the process of training applicants for higher education in Ukraine in the realities of a large-scale war. General scientific methods (analysis, synthesis, deduction, and induction) and special pedagogical prognostic methods, modeling, and SWOT analysis methods were used. In the results, the general properties of the Internet educational platforms common in Ukraine, the peculiarities of using the Moodle and Prometheus platforms, and an approximate model of the electronic learning environment were discussed. The reasons for the popularity of Moodle among Ukrainian universities are analyzed, but vulnerable elements related to security are emphasized. It was also determined that the high cost of Prometheus software and less functionality made this learning environment less relevant. The conclusions state that the military actions drew the attention of universities in Ukraine to the formation of their own educational platforms. This is especially relevant for technical and military institutions of higher education.

플랫폼 노동자의 플랫폼노동과 그림자노동: 직무소진 및 이직의도와의 관계 검증 (Platform Labor and Shadow Work of Platform Workers: Examining their Effects on Job Burnout and Turnover Intention)

  • 박상철
    • 한국정보시스템학회지:정보시스템연구
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    • 제32권2호
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    • pp.25-43
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    • 2023
  • Purpose In online delivery platforms, platform workers are required to perform both platform labor, which is compensated with immediate wages, and shadow work which is a kind of unpaid job to support the platform labor. Thus, the objective of this study is to empirically examine how platform workers' platform labor and shadow work affect their job burnout and their turnover intention in the online delivery platform context. Design/methodology/approach This study developed a research model by employing platform labor and shadow work to influence job burnout and turnover intention. This study also tested the model by partial least square techniques after collecting 169 cross-sectional data from food delivery riders in Korea. Findings This study found that both platform labor and shadow work affected platform workers' job burnout. In addition, the results showed that shadow work influenced their turnover intention while platform labor did not affect the turnover intention. Based on the results, this study contributed to relevant researchers who are interested in platform contexts by offering measurable constructs on platform labor and shadow work. In addition, this study could provide practitioners with practical implications on managing platform workers.

차량 탑재형 고소작업대의 사고분석을 통한 안전대책 고찰 (Review of Safety Measures through Analysis of Accidents on the Vehicle-mounted MEWP(mobile elevated work platforms))

  • 이준호
    • 한국건설안전학회 논문집
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    • 제1권1호
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    • pp.47-56
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    • 2018
  • 본 논문에서는 고소작업에 가장 널리 사용되고 있는 차량 탑승형 고소작업대의 재해사례분석을 통해 예방대책을 제안하였다. 높은 위치에서의 고소작업은 사고가 발생한 경우 치명적인 인명사고로 이어지기 때문에 이에 대한 안전 대책이 더욱 절실하다. 이에 고소작업 중 발생하는 여러 가지 유형의 사고에 대한 원인을 분석하여 유형별 안전대책을 제시하고, 나아가 사고를 줄일 수 있도록 관련법규의 제정 또는 개정안을 제안하였다. 본 논문에서는 고소작업대의 사고유형을 크게 4가지로 분류하였다. 첫째 와이어로프 구동시스템 불량, 둘째 허용 작업반경 초과로 인한 전도 및 붐 파손, 셋째 턴테이블 불량, 넷째 아우트리거 불량으로서, 가 유형별 사고사례를 분석하고 안전대책을 제시하고, 현행 규정상 고소작업대의 운전 조종에 관한 아무런 규정이 없어서 고소작업대의 운전 조종에 관한 교육 및 자격증 신설을 제시하였다. 그리고 증가하고 있는 안전사고의 예방을 위해 고소작업대의 안전인증 및 안전검사 기준을 강화하는 정책에 발맞추어 법규 개정을 위한 기초자료를 제시하고자 하였다. 본 연구 결과가 실무에 적용된다면 고소작업대로 인한 사고를 크게 줄일 수 있을 것으로 기대된다.

택배 배송 작업의 공정분석을 통한 인간공학적 접근 방안 (Ergonomic Approach through Process Analysis of Delivery Work)

  • 이세정;진상은;장성록
    • 한국안전학회지
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    • 제39권1호
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    • pp.55-61
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    • 2024
  • In response to the COVID-19 pandemic, the logistics industry in Korea has rapidly been expanding, with offline demand concentrating on online platforms owing to the development of digital infrastructure. This has increased the workload of courier drivers considerably, along with labor intensity. A delivery driver died recently from overwork due to the continuous increase in delivery volume, which raises social concerns. Delivery drivers work long hours, (over 12 hours) and are greatly affected by weather conditions, such as snow, rain, heat waves, and cold waves. In addition, they lack a fixed workplace; perform atypical work handling workpieces of various sizes, weights, and shapes; and spend a large amount of time driving as part of their work. This work involves a high level of tension and requires attention and concentration. Despite the frequency of industrial accidents in the courier industry, studies on safety and health to quantitatively analyze and systematize the work of courier workers are very scarce. Therefore, to define the work process necessary for investigating the harmful factors in delivery service and the work analysis, this study conducted interviews and on-site surveys to analyze the unit work of the delivery service by targeting delivery workers. In other words, a framework of unit work for work analysis was presented to enable research and analysis by considering the aforementioned characteristics of the courier industry. The process was broadly divided into work, transport, storage, delay, and inspection. Work was divided into loading, sorting, unloading, and door subcategories, and transportation was divided into vehicle, cart, and walking subcategories as well as 10 small processes. Moreover, 22 unit works were again drawn by conducting field surveys and interviews. The risk of unit work derived from this study was ergonomically evaluated, and the ergonomic analysis revealed that uploading and transportation were the most dangerous. The results of this study could be used as basic data for preventing industrial accidents among courier workers, whose work has increased with the logistics volume and the development of the logistics industry.

A Computer-Aided Diagnosis of Brain Tumors Using a Fine-Tuned YOLO-based Model with Transfer Learning

  • Montalbo, Francis Jesmar P.
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제14권12호
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    • pp.4816-4834
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    • 2020
  • This paper proposes transfer learning and fine-tuning techniques for a deep learning model to detect three distinct brain tumors from Magnetic Resonance Imaging (MRI) scans. In this work, the recent YOLOv4 model trained using a collection of 3064 T1-weighted Contrast-Enhanced (CE)-MRI scans that were pre-processed and labeled for the task. This work trained with the partial 29-layer YOLOv4-Tiny and fine-tuned to work optimally and run efficiently in most platforms with reliable performance. With the help of transfer learning, the model had initial leverage to train faster with pre-trained weights from the COCO dataset, generating a robust set of features required for brain tumor detection. The results yielded the highest mean average precision of 93.14%, a 90.34% precision, 88.58% recall, and 89.45% F1-Score outperforming other previous versions of the YOLO detection models and other studies that used bounding box detections for the same task like Faster R-CNN. As concluded, the YOLOv4-Tiny can work efficiently to detect brain tumors automatically at a rapid phase with the help of proper fine-tuning and transfer learning. This work contributes mainly to assist medical experts in the diagnostic process of brain tumors.

트랜스미디어 시대에서 에디큐레이션의 의미에 대한 연구 - 출판 및 만화 콘텐츠를 중심으로 - (Study on the meaning of Edi-curation in Trans-media era - Based on the comic(webtoon) and publishing content -)

  • 박세현
    • 만화애니메이션 연구
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    • 통권44호
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    • pp.235-261
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    • 2016
  • 인터넷 및 디지털 미디어의 환경에서 미디어 수용자는 동일 콘텐츠를 다양한 플랫폼으로 이용하고 있다. 이처럼 여러 장르의 콘텐츠가 디지털 미디어의 기반에서 융합, 조합, 변형, 분화, 복제 등의 과정을 거치면서 새로운 콘텐츠의 형태로 전환되는 것을 트랜스미디어라고 한다. 트랜스미디어 시대에서 성공하는 콘텐츠를 만들기 위해서는 에디큐레이션의 작업이 필요하다. 에디큐레이션은 큐레이터의 큐레이션 작업에 편집과 의미를 부가하는 작업 행위이다. 그런 점에서 이 논문은 트랜스미디어 시대에서 출판 및 만화 콘텐츠의 에디큐레이션에 대한 정의와 의미를 분석했다. 에디큐레이션은 디지털 미디어 환경에서 콘텐츠의 생산자가 곧 소비자며, 소비자가 곧 생산자인 프로컨슈머/프로듀저를 유도하는 역할을 담당하는 프로세스다. 디지털 플랫폼과 디바이스의 다양화, 디지털 1인(혹은 SNS) 미디어의 등장 등은 출판 및 만화 콘텐츠에도 다양한 방식의 에디큐레이션을 요구한다. 미디어 생산자(혹은 수용자)의 의도에 따라 콘텐츠는 복제, 짜깁기, 분해, 해체, 하이퍼텍스트, 압축, 재구성 등의 과정을 거쳐서 새로운 콘텐츠로 탄생한다. 이처럼 에디큐레이션의 작업을 거친 출판 및 만화 콘텐츠는 미디어 생산자의 작업 방식은 물론, 미디어 수용자의 콘텐츠 독법에도 영향을 미친다는 점에서, 트랜스미디어 시대의 에디큐레이션은 중요한 의미를 지닌다. 출판 콘텐츠에서 에디큐레이션 작업은 챕터나 단락의 논리성 파괴, 구어체의 문장, 카드 뉴스의 활용, 동영상 및 미디어 콘텐츠의 변형 등이 있으며, 만화 콘텐츠에서는 칸의 파괴, 말풍선, 의성어, 의태어의 다양한 변형 등을 들 수 있다.

스마트워크 서비스에서 정보보호를 위한 취약성 대응 방안 (Vulnerability Countermeasures for Information Security in Smart Work Services)

  • 김지석;김동수;김희완
    • 서비스연구
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    • 제7권4호
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    • pp.69-81
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    • 2017
  • 스마트워크는 스마트기기를 활용하여 업무의 효율성을 높이는 것을 말한다. 스마트워크는 기업들의 업무 생산성을 향상시키고, 비용을 절감하여 업무효율성은 향상되지만, 이에 따른 다양한 정보보호에 대한 위협이 존재한다. 재택 근무, 모바일 오피스, 스마트워크 센타 등을 운영하기 위해서는 다양한 네트워크 자원, 서버, 플렛폼을 지원하는 하드웨어와 소프트웨어가 필요하다. 이에 따라 정보자원을 보호하는 보안 및 정보보호에 대한 취약점이 많이 발생한다. 본 논문에서는 스마트워크 서비스를 위하여 스마트워크 환경을 분석하고 정보보호관련 기준인 IOS27001 및 KISA-ISMS의 분석을 통하여 스마트워크 정보보호를 위한 취약점을 분석하였다. 정보보호 요구사항에 대하여 사용자 및 서비스 제공자 입장에서의 요구사항을 도출하였으며, 스마트워크 보안 위협 및 취약점에 대하여 공통부분, 모바일 오피스, 재택근무, 스마트워크 센터 등으로 나누어 취약점에 대한 대응방안을 제시하였다.

Accuracy of incidental dynamic analysis of mobile elevating work platforms

  • Jovanovic, Miomir L.J.;Radoicic, Goran N.;Stojanovic, Vladimir S.
    • Structural Engineering and Mechanics
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    • 제71권5호
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    • pp.553-562
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    • 2019
  • This paper presents the results of a study into the dynamic behaviour of a support structure of a mobile elevating work platform. The vibrations of the mechanical system of the observed structure are examined analytically, numerically, and experimentally. Within the analytical examination, a simple mathematical model is developed to describe free and forced vibrations. The dynamic analysis of the mechanical system is conducted using a discrete dynamic model with a reduced number of vibrational degrees of freedom. On the basis of the expression for the system energy, and by applying Lagrange's equations of the second kind, differential equations are derived for system vibrations, frequencies are determined, and the laws of forced platform vibration are established. At the same time, a nonlinear FEM model is developed and the laws of free and forced vibration are determined. The experimental and numerical part of the study deal with the examination of the real structure in extreme conditions, taking into account: the lowest eigenfrequency, forced actions that could endanger the general stability, the maximal amplitudes, and the acceleration of the work platform. The obtained analytical and numerical results are compared with the experiments. The experimental verification points to the adverse behaviour of the platform in excitation cases - swaying. In such a situation, even a relatively small physical force can lead to unacceptably high amplitudes of displacement and acceleration - exceeding the usual work values.