• Title/Summary/Keyword: critical distance

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COVID-19 Pandemic Era, Practice Style for Ethical Life in Individualistic Society: Focusing on Foucault's 'care of the self' (코로나19 팬데믹 시대, 개인주의 사회의 윤리적 삶을 위한 실천양식: 푸코의 '자기 배려'를 중심으로)

  • Choe, Hee-Jin
    • The Journal of the Korea Contents Association
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    • v.22 no.3
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    • pp.43-53
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    • 2022
  • The purpose of this study was to derive ethical life skills in the era of the COVID-19 pandemic from the 'care of self' that Foucault highlighted in . Care of self extends to the relationship one has with oneself and one with others. care of self is a practical ethic that realigns relationships with others and changes society through self-transformation. This study tried to derive specific practices for a life of care of self that individuals can realize against another rule of neoliberalism. Its specific practice style is keeping one's distance from dominant thoughts, forming oneself through practice and writing of subjective thinking, practicing knowing in everyday life, and practicing 'looking down'. These modes of self-care include the other and the world into consciousness in self-examination and transformation. Therefore, through care of self, individuals in the pandemic era can be reborn as members of society who change their lives while building a self-centered life that is faithful to themselves.

Extraction of Optimal Moving Patterns of Edge Devices Using Frequencies and Weights (빈발도와 가중치를 적용한 엣지 디바이스의 최적 이동패턴 추출)

  • Lee, YonSik;Jang, MinSeok
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.26 no.5
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    • pp.786-792
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    • 2022
  • In the cloud computing environment, there has been a lot of research into the Fog/Edge Computing (FEC) paradigm for securing user proximity of application services and computation offloading to alleviate service delay difficulties. The method of predicting dynamic location change patterns of edge devices (moving objects) requesting application services is critical in this FEC environment for efficient computing resource distribution and deployment. This paper proposes an optimal moving pattern extraction algorithm in which variable weights (distance, time, congestion) are applied to selected paths in addition to a support factor threshold for frequency patterns (moving objects) of edge devices. The proposed algorithm is compared to the OPE_freq [8] algorithm, which just applies frequency, as well as the A* and Dijkstra algorithms, and it can be shown that the execution time and number of nodes accessed are reduced, and a more accurate path is extracted through experiments.

Enhancing the Quality of Service by GBSO Splay Tree Routing Framework in Wireless Sensor Network

  • Majidha Fathima K. M.;M. Suganthi;N. Santhiyakumari
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.17 no.8
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    • pp.2188-2208
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    • 2023
  • Quality of Service (QoS) is a critical feature of Wireless Sensor Networks (WSNs) with routing algorithms. Data packets are moved between cluster heads with QoS using a number of energy-efficient routing techniques. However, sustaining high scalability while increasing the life of a WSN's networks scenario remains a challenging task. Thus, this research aims to develop an energy-balancing component that ensures equal energy consumption for all network sensors while offering flexible routing without congestion, even at peak hours. This research work proposes a Gravitational Blackhole Search Optimised splay tree routing framework. Based on the splay tree topology, the routing procedure is carried out by the suggested method using three distinct steps. Initially, the proposed GBSO decides the optimal route at initiation phases by choosing the root node with optimum energy in the splay tree. In the selection stage, the steps for energy update and trust update are completed by evaluating a novel reliance function utilising the Parent Reliance (PR) and Grand Parent Reliance (GPR). Finally, in the routing phase, using the fitness measure and the minimal distance, the GBSO algorithm determines the best route for data broadcast. The model results demonstrated the efficacy of the suggested technique with 99.52% packet delivery ratio, a minimum delay of 0.19 s, and a network lifetime of 1750 rounds with 200 nodes. Also, the comparative analysis ensured that the suggested algorithm surpasses the effectiveness of the existing algorithm in all aspects and guaranteed end-to-end delivery of packets.

An Acceleration Method for Processing LiDAR Data for Real-time Perimeter Facilities (실시간 경계를 위한 라이다 데이터 처리의 가속화 방법)

  • Lee, Yoon-Yim;Lee, Eun-Seok;Noh, Heejeon;Lee, Sung Hyun;Kim, Young-Chul
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2022.05a
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    • pp.101-103
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    • 2022
  • CCTV is mainly used as a real-time detection system for critical facilities. In the case of CCTV, although the accuracy is high, the viewing angle is narrow, so it is used in combination with a sensor such as a radar. LiDAR is a technology that acquires distance information by detecting the time it takes to reflect off an object using a high-power pulsed laser. In the case of lidar, there is a problem in that the utilization is not high in terms of cost and technology due to the limitation of the number of simultaneous processing sensors in the server due to the data throughput. The detection method by the optical mesh sensor is also vulnerable to strong winds and extreme cold, and there is a problem of maintenance due to damage to animals. In this paper, by using the 1550nm wavelength band instead of the 905nm wavelength band used in the existing lidar sensor, the effect on the weather environment is strong and we propose to develop a system that can integrate and control multiple sensors.

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Spherical Point Tracing for Synthetic Vehicle Data Generation with 3D LiDAR Point Cloud Data (3차원 LiDAR 점군 데이터에서의 가상 차량 데이터 생성을 위한 구면 점 추적 기법)

  • Sangjun Lee;Hakil Kim
    • Journal of Broadcast Engineering
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    • v.28 no.3
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    • pp.329-332
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    • 2023
  • 3D Object Detection using deep neural network has been developed a lot for obstacle detection in autonomous vehicles because it can recognize not only the class of target object but also the distance from the object. But in the case of 3D Object Detection models, the detection performance for distant objects is lower than that for nearby objects, which is a critical issue for autonomous vehicles. In this paper, we introduce a technique that increases the performance of 3D object detection models, particularly in recognizing distant objects, by generating virtual 3D vehicle data and adding it to the dataset used for model training. We used a spherical point tracing method that leverages the characteristics of 3D LiDAR sensor data to create virtual vehicles that closely resemble real ones, and we demonstrated the validity of the virtual data by using it to improve recognition performance for objects at all distances in model training.

Real-time Data Enhancement of 3D Underwater Terrain Map Using Nonlinear Interpolation on Image Sonar (비선형 보간법을 이용한 수중 이미지 소나의 3 차원 해저지형 실시간 생성기법)

  • Ingyu Lee;Jason Kim;Sehwan Rho;Kee–Cheol Shin;Jaejun Lee;Son-Cheol Yu
    • Journal of Sensor Science and Technology
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    • v.32 no.2
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    • pp.110-117
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    • 2023
  • Reconstructing underwater geometry in real time with forward-looking sonar is critical for applications such as localization, mapping, and path planning. Geometrical data must be repeatedly calculated and overwritten in real time because the reliability of the acoustic data is affected by various factors. Moreover, scattering of signal data during the coordinate conversion process may lead to geometrical errors, which lowers the accuracy of the information obtained by the sensor system. In this study, we propose a three-step data processing method with low computational cost for real-time operation. First, the number of data points to be interpolated is determined with respect to the distance between each point and the size of the data grid in a Cartesian coordinate system. Then, the data are processed with a nonlinear interpolation so that they exhibit linear properties in the coordinate system. Finally, the data are transformed based on variations in the position and orientation of the sonar over time. The results of an evaluation of our proposed approach in a simulation show that the nonlinear interpolation operation constructed a continuous underwater geometry dataset with low geometrical error.

A Peer-support Mini-counseling Model to Improve Treatment in HIV-positive Pregnant Women in Kupang City, East Nusa Tenggara, Indonesia

  • Artha Camellia;Plamularsih Swandari;Gusni Rahma;Tuti Parwati Merati;I Made Bakta;Dyah Pradnyaparamita Duarsa
    • Journal of Preventive Medicine and Public Health
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    • v.56 no.3
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    • pp.238-247
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    • 2023
  • Objectives: Low adherence to antiretroviral (ARV) therapy in pregnant women with human immunodeficiency virus (HIV) increases the risk of virus transmission from mother to newborn. Increasing mothers' knowledge and motivation to access treatment has been identified as a critical factor in prevention. Therefore, this research aimed to explore barriers and enablers in accessing HIV care and treatment services. Methods: This research was the first phase of a mixed-method analysis conducted in Kupang, a remote city in East Nusa Tenggara Province, Indonesia. Samples were taken by purposive sampling of 17 people interviewed, consisting of 6 mothers with HIV, 5 peer facilitators, and 6 health workers. Data were collected through semi-structured interviews, focus group discussions, observations, and document review. Inductive thematic analysis was also performed. The existing data were grouped into several themes, then relationships and linkages were drawn from each group of informants. Results: Barriers to accessing care and treatment were lack of knowledge about the benefits of ARV; stigma from within and the surrounding environment; difficulty in accessing services due to distance, time, and cost; completeness of administration; drugs' side effects; and the quality of health workers and HIV services. Conclusions: There was a need for a structured and integrated model of peer support to improve ARV uptake and treatment in pregnant women with HIV. This research identified needs including mini-counseling sessions designed to address psychosocial barriers as an integrated approach to support antenatal care that can effectively assist HIV-positive pregnant women in improving treatment adherence.

Development Plan for the First GMT ASM Reference Body

  • Yang, Ho-Soon;Oh, Chang-Jin;Biasi, Roberto;Gallieni, Daniele
    • The Bulletin of The Korean Astronomical Society
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    • v.46 no.2
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    • pp.76.3-77
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    • 2021
  • GMT secondary mirror system consists of 7 segmented adaptive mirrors. Each segment consists of a thin shell mirror, actuators and a reference body. The thin shell has a few millimeters of thickness so that it can be easily bent by push and pull force of actuators to compensate the wavefront disturbance of light due to air turbulence. The one end of actuator is supported by the reference body and the other end is adapted to this thin shell. One of critical role of the reference body is to provide the reference surface for the thin shell actuators. Therefore, the reference body is one of key components to succeed in development of GMT ASM. Recently, Korea Research Institute of Standards and Science (KRISS) and University of Arizona (UA) has signed a contract that they will cooperate to develop the first set of off-axis reference body for GMT ASM. This project started August 2021 and will be finished in Dec. 2022. The reference body has total 675 holes to accommodate actuators and 144 pockets for lightweighting. The rear surface has a curved rib shape with radius of curvature of 4387 mm with offset of 128.32mm. Since this reference body is placed just above the thin shell so that the front surface shape needs to be close to that of thin shell. The front surface has a concave off-axis asphere, of which radius of curvature is 4165.99 mm and off-axis distance is about 1088 mm. The material is Zerodur CTE class 1 (CTE=0.05 ppm/oC) from SCHOTT. All the actuator holes and pockets are machined normal to the front surface. It is a very complex challenging optical elements that involves sophisticated machining process as well as accurate metrology. After finishing the fabrication of reference body in KRISS, it will be shipped to UA for final touches and finally sent to Adoptica in Italy, in early 2023. This paper presets the development plan for the GMT ASM Reference Body and relevant fabrication and metrology plans.

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A Study on Factors Affecting the Workplace Selection, Job Performance Difficulties, and Turnover Intention of Nurses in Gyeongsangnam-do (경상남도 간호사의 직장선택, 직무수행의 어려움, 이직의도에 영향을 미치는 요인)

  • Hong, Hyunmi;Kim, Hyewon;Lee, Seunggeun;Kim, Minju;Kim, Youngsoo;Jeong, Baekgeun
    • Journal of Korean Academy of Rural Health Nursing
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    • v.18 no.1
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    • pp.57-71
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    • 2023
  • Purpose: This study aims to provide primary data for policy alternatives by identifying the problem of the nursing workforce shortage. Methods: For quantitative data, 446 questionnaires were analyzed. The mean and standard deviation were used for content description. ANOVA analysis and Scheffe? test were used to compare the differences according to the hospital level. For qualitative data, 1:1 in-depth and group interviews were conducted for six participants. Results: The factors nurses prioritized when choosing a workplace were salary, commuting distance, and work-life balance. Clinical nurses cited low wages, heavy workloads, and burnout as the most considerable difficulties in performing their duties. Factors influencing nurse's turnover intention were low wages, unmanageable workload, and rotation to unwanted departments in that order. New nurses tend not to apply to small-medium-sized hospitals, experienced nurses in their 30s-40s leave hospitals due to childcare and shift work difficulties, and nurses in their 50s and older tend to move to nursing homes rather than acute hospital settings. Conclusion: In this study, wage and workload were mentioned as the most critical factors in nurses' workplace selection, job performance difficulties, and turnover intention, so it is necessary to pay attention to this aspect when improving treatment for nurses.

Monte Carlo Investigation of Dose Enhancement due to Gold Nanoparticle in Carbon-12, Helium-4, and Proton Beam Therapy

  • Sang Hee Ahn
    • Progress in Medical Physics
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    • v.33 no.4
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    • pp.114-120
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    • 2022
  • Purpose: Particle beam therapy is advantageous over photon therapy. However, adequately delivering therapeutic doses to tumors near critical organs is difficult. Nanoparticle-aided radiation therapy can be used to alleviate this problem, wherein nanoparticles can passively accumulate at higher concentrations in the tumor tissue compared to the surrounding normal tissue. In this study, we investigate the dose enhancement effect due to gold nanoparticle (GNP) when Carbon-12, He-4, and proton beams are irradiated on GNP. Methods: First, monoenergetic Carbon-12 and He-4 ion beams of energy of 283.33 MeV/u and 150 MeV/u, respectively, and a proton beam of energy of 150 MeV were irradiated on a water phantom of dimensions 30 cm×30 cm×30 cm. Subsequently, the secondary-particle information generated near the Bragg peak was recorded in a phase-space (phsp) file. Second, the obtained phsp file was scaled down to a nanometer scale to irradiate GNP of diameter 50 nm located at the center of a 4 ㎛×4 ㎛×4 ㎛ water phantom. The dose enhancement ratio (DER) was calculated in intervals of 1 nm from the GNP surface. Results: The DER of GNP computed at 1 nm from the GNP surface was 4.70, 4.86, and 4.89 for Carbon-12, He-4, and proton beams, respectively; the DER decreased rapidly with increasing distance from the GNP surface. Conclusions: The results indicated that GNP can be used as radiosensitizers in particle beam therapy. Furthermore, the dose enhancement effect of the GNP absorbed by tumor cells can aid in delivering higher therapeutic doses.