• 제목/요약/키워드: Depth control performance

검색결과 361건 처리시간 0.029초

IoT기반 지하수 수질모니터링을 위한 다중센서모듈 개발 및 성능평가 (Development and Performance Evaluation of Multiple Sensor for Groundwater Quality Monitoring and Remote Control System using IoT)

  • 장현진;문보람;윤승균;진태석
    • 한국정보통신학회논문지
    • /
    • 제21권10호
    • /
    • pp.1957-1963
    • /
    • 2017
  • 본 논문은 지하수 수질을 모니터링하기 위한 다중센서기반의 센서 디바이스를 제작 및 성능을 제시하고자 한다. 신규로 제작된 시스템은 데이터 수집을 위하여 원격 제어기반의 다중센서 디바이스를 채택하였으며 원격모니터링 관리를 위하여 윈도우 모바일을 사용하였습니다. 지하 수질 센서장치와 모니터링 시스템 간의 통신 인터페이스로 직렬 포트 CAN 및 RS485를 채택하였고 신규 제작된 직렬 연결형 다중 센서 장치를 사용하여 지하수의 깊이에 따른 기존 센서와의 성능 비교 분석(온도계 오차범위 ${\pm}0.2^{\circ}C$, 수소이온농도(pH) < 0.85unit ) 결과를 제시하였다. 무선 연결된 센서 네트워크를 기반으로 한 지하수 모니터링 시스템을 위한 설계 및 통신방법을 제시하여 장치의 성능을 비교 분석하였다.

Dependent Quantization for Scalable Video Coding

  • ;김문철;함상진;이근식;박근수
    • 한국방송∙미디어공학회:학술대회논문집
    • /
    • 한국방송공학회 2006년도 학술대회
    • /
    • pp.127-132
    • /
    • 2006
  • Quantization in video coding plays an important role in controlling the bit-rate of compressed video bit-streams. It has been used as an important control means to adjust the amount of bit-streams to at]owed bandwidth of delivery networks and storage. Due to the dependent nature of video coding, dependent quantization has been proposed and applied for MPEG-2 video coding to better maintain the quality of reconstructed frame for given constraints of target bit-rate. Since Scalable Video Coding (SVC) being currently standardized exhibits highly dependent coding nature not only between frames but also lower and higher scalability layers where the dependent quantization can be effectively applied, in this paper, we propose a dependent quantization scheme for SVC and compare its performance in visual qualities and bit-rates with the current JSVM reference software for SVC. The proposed technique exploits the frame dependences within each GOP of SVC scalability layers to formulate dependent quantization. We utilize Lagrange optimization, which is widely accepted in R-D (rate-distortion) based optimization, and construct trellis graph to find the optimal cost path in the trellis by minimizing the R-D cost. The optimal cost path in the trellis graph is the optimal set of quantization parameters (QP) for frames within a GOP. In order to reduce the complexity, we employ pruning procedure using monotonicity property in the trellis optimization and cut the frame dependency into one GOP to decrease dependency depth. The optimal Lagrange multiplier that is used for SVC is equal to H.264/AVC which is also used in the mode prediction of the JSVM reference software. The experimental result shows that the dependent quantization outperforms the current JSVM reference software encoder which actually takes a linear increasing QP in temporal scalability layers. The superiority of the dependent quantization is achieved up to 1.25 dB increment in PSNR values and 20% bits saving for the enhancement layer of SVC.

  • PDF

정수압을 고려한 그라우팅의 성능에 대한 실험적 연구 (Laboratory Test for the Performance of Grouting under Hydrostatic Pressure)

  • 전경재;오명학;윤찬영
    • 한국지반공학회논문집
    • /
    • 제33권10호
    • /
    • pp.49-58
    • /
    • 2017
  • 일반적인 지반보강 그라우팅은 지하수위의 영향이 없거나 미약한 얕은 심도에서 이루어진다. 그러나 최근들어 대심도 굴착이나 항만성능 향상을 위한 증심공법 등이 대두되면서 높은 수압과 상재압의 영향을 고려한 효율적인 그라우팅에 대한 연구의 필요성이 점차 높아지고 있다. 이에 본 연구에서는 주입압, 상재압, 수압을 조절 가능한 그라우팅 모사장비를 개발하여 정수압을 고려한 그라우팅 성능 분석 실험을 수행하였다. 그 결과, 일반적으로 주입압을 증가시키면 주입량도 증가하나, 수압이 작용하는 경우에는 주입량이 크게 감소하는 것으로 나타났다. 또한 그라우팅 주입량에 따른 시료의 체적변화를 비교한 결과, 시료의 입경이 크고 간극 크기가 클수록 침투로 인한 다짐효과가 커진다는 것을 확인할 수 있었다.

추후관리 받는 암환자의 요구 측정도구 개발 및 평가 (Psychometric Evaluation of a Need Scale for Cancer Patients Undergoing Follow-up Care)

  • 이은현;문성미;조수연;오영택;전미선;김성환;김재성;김혜경
    • 대한간호학회지
    • /
    • 제40권4호
    • /
    • pp.551-560
    • /
    • 2010
  • Purpose: The purpose of this present study was to develop and evaluate the psychometric properties of a needs scale for patients with cancer undergoing follow-up care (NS-C). Methods: A preliminary NS-C of 48 was derived from literature reviews and in-depth interviews with patients with cancer. Content validation of the items was established by oncology physicians and nurses. Each item was scored on a five-point Likert scale. The preliminary NS-C and Eastern Cooperative Oncology Group (ECOG) performance status questionnaires were administered to 873 patients with cancer recruited from three university hospitals. The data were analyzed using factor analysis, multidimensional scaling analysis, ANOVA, Pearson correlation coefficients, and Cronbach's alpha. Results: From the factor analysis, 25 significant items in six subscales were derived. The subscales were named physical symptoms, diet and exercise, support, relationship with health professionals, treatment/prognosis, and keeping mind under control. The NS-C also established item convergent and discriminant validity, and known-groups validity. Cronbach's alpha of the subscales ranged from .90 to .92. Conclusion: This study suggests that the NS-C is an easy, reliable and valid instrument to measure the needs of patients with cancer. Health professionals may use the NS-C for patients with cancer both in practice and research.

ERP 도입 후 사용자 만족도 향상을 위한 변화관리 모형에 관한 연구: A사 사례를 중심으로 (Post Implementation Change Management to Increase Users' Satisfaction on ERP: A Korean Company Case)

  • 신현식;송용욱;김창기
    • 한국정보시스템학회지:정보시스템연구
    • /
    • 제19권2호
    • /
    • pp.37-71
    • /
    • 2010
  • This article identifies factors affecting successful ERP systems by focusing on the stages after stabilizing ERP systems and overcoming temporary performance dip by introduction of ERP systems, and suggests change management tactics to control those identified factors. We can not expect that every users are familiar with the usage of an ERP system even after they are informed about the expected advantage of the newly implemented ERP system and trained intensively for changed business process and system usage while implementing a new ERP system. Moreover, even after more than six months usage of the system, the users may still have some trouble due to the reason why they have insufficient information about the expected advantage of the system (recognition gap) and insufficient knowledge about the changed usage of the system (knowledge gap). Hence, this article diagnoses by conducting a case study that those recognition and knowledge gap would have a severe bad influence upon the users' trust and satisfaction on ERP systems. This article suggests an appropriate change management tactics to overcome those recognition and knowledge gap by considering the relationship with the efforts for change management before, during, and after the introduction of ERP systems and performing an in-depth analysis on the users' dissatisfaction and request for update during the stages after the stabilization of the ERP systems. This article also shows a corroborative evidence that these efforts of change management consequently contributes to the solution of users' distrust and dissatisfaction. In sum, this article identifies the factors influencing badly on the magnitude and seriousness of knowledge and recognition gap, and suggests a conceptual research model which says that the satisfaction of ERP users could be uplifted by the solution of their knowledge and recognition gap if we keep making efforts on appropriate change management considering those identified factors during the stages after the stabilization of an ERP system.

머신러닝을 이용한 미숙아의 재원일수 예측 융복합 연구 (Convergence study to predict length of stay in premature infants using machine learning)

  • 김촉환;강성홍
    • 디지털융복합연구
    • /
    • 제19권7호
    • /
    • pp.271-282
    • /
    • 2021
  • 본 연구는 미숙아의 재원일수 예측 모형을 머신러닝 기법을 통해 개발하기 위해 수행 되었다. 모형 개발을 위해 질병관리본부에서 수집한 퇴원손상심층조사 자료의 2011년부터 2016년까지 퇴원한 미숙아 6,149건을 이용하였다. 입원 초기 신경망 모형은 설명력(R2)이 0.75로 다른 모형에 비해 우수 하였다. 입원 초기 변수에 임상진단을 CCS(Clinical class ification software)로 변환하여 추가 투입한 모형은 큐비스트(Cubist) 모형의 설명력(R2)이 0.81로 랜덤 포레스트(Random Forests), 그라디언트 부스트(Gradient boost), 신경망(neural network), 벌점화 회귀(Penalty regression) 모형에 비해 성능이 우수 하였다. 본 연구는 전국단위 데이터를 이용한 미숙아의 재원일수 예측 모형을 머신러닝을 통해 제시하고 그 활용 가능성을 확인하였다. 하지만 임상정보, 부모정보 등 데이터의 한계로 향후 성능 향상을 위한 추가 연구가 필요하다.

B-COV:Bio-inspired Virtual Interaction for 3D Articulated Robotic Arm for Post-stroke Rehabilitation during Pandemic of COVID-19

  • Allehaibi, Khalid Hamid Salman;Basori, Ahmad Hoirul;Albaqami, Nasser Nammas
    • International Journal of Computer Science & Network Security
    • /
    • 제21권2호
    • /
    • pp.110-119
    • /
    • 2021
  • The Coronavirus or COVID-19 is contagiousness virus that infected almost every single part of the world. This pandemic forced a major country did lockdown and stay at a home policy to reduce virus spread and the number of victims. Interactions between humans and robots form a popular subject of research worldwide. In medical robotics, the primary challenge is to implement natural interactions between robots and human users. Human communication consists of dynamic processes that involve joint attention and attracting each other. Coordinated care involves sharing among agents of behaviours, events, interests, and contexts in the world from time to time. The robotics arm is an expensive and complicated system because robot simulators are widely used instead of for rehabilitation purposes in medicine. Interaction in natural ways is necessary for disabled persons to work with the robot simulator. This article proposes a low-cost rehabilitation system by building an arm gesture tracking system based on a depth camera that can capture and interpret human gestures and use them as interactive commands for a robot simulator to perform specific tasks on the 3D block. The results show that the proposed system can help patients control the rotation and movement of the 3D arm using their hands. The pilot testing with healthy subjects yielded encouraging results. They could synchronize their actions with a 3D robotic arm to perform several repetitive tasks and exerting 19920 J of energy (kg.m2.S-2). The average of consumed energy mentioned before is in medium scale. Therefore, we relate this energy with rehabilitation performance as an initial stage and can be improved further with extra repetitive exercise to speed up the recovery process.

Effects of a Modified Six-Sigma-Methodology-Based Training Program on Core Competencies in Rehabilitation Nurse Specialists

  • Gu, Jiayi;Luo, Lan;Li, Chengjuan;Ma, Sumin;Gong, Fanghua
    • 대한간호학회지
    • /
    • 제53권4호
    • /
    • pp.412-425
    • /
    • 2023
  • Purpose: Nurses play an important role in ensuring patient rehabilitation and are involved in all aspects of multidimensional rehabilitation. Therefore, strengthening rehabilitation nursing education is vital to ascertain high-quality rehabilitation and optimum outcomes. This study examined the effectiveness of a new teaching reform-a modified Six-Sigma-based training program-against a conventional educational program on rehabilitation specialist nurses' core competencies, post-training performance, and satisfaction. Methods: A quasi-randomized controlled trial was conducted to assess the effectiveness of the modified training program. We recruited 56 learners from the 2020 training course at the Hunan Rehabilitation Specialist Nurse Training Base as the control group. Sixty learners from the base's 2021 training course were recruited as the intervention group. Data were collected in a consistent manner from both groups after the training program was implemented. Results: Those who underwent the modified training program showed better improvement in all core competencies than those who underwent the conventional training program (p < .05); the scores for theoretical knowledge, clinical nursing lectures, reviews, and nursing case management improved significantly following the teaching reform (p < 0.05). Further, overall satisfaction as well as base management and theoretical teaching satisfaction improved significantly (p < .05). Conclusion: The modified training program strengthens rehabilitation nurses' base management abilities; enhances their core competencies; expands their interest in and breadth, depth, and practicability of theoretical courses; and updates the teaching methods.

Unity Engine 기반 수중 로봇 3차원 포지셔닝 프로그램 구현 (Unity Engine-based Underwater Robot 3D Positioning Program Implementation)

  • 최철호;김종훈;김준영;박준;박성욱;정세훈;심춘보
    • 스마트미디어저널
    • /
    • 제11권9호
    • /
    • pp.64-74
    • /
    • 2022
  • 해양자원을 활용하기 위한 수중 로봇과 관련된 연구가 다수 진행되고 있다. 그러나 일반 드론과 다르게 수중 로봇은 매개체가 공기가 아닌 물이기 때문에 위치 파악이 쉽지 않은 문제점이 존재한다. 수중 위치를 확인하기 위한 기존 연구인 수중 로봇의 모니터링 및 포지셔닝 프로그램은 대규모 공간에서 활용하기 위한 목적을 가지고 있기 때문에 소규모의 공간에서 위치 파악 및 모니터링에 어려움을 가지고 있다. 이에 본 논문에서는 소규모 공간에서 지속적인 모니터링과 명령 전달을 위한 3차원 포지셔닝 프로그램을 제안한다. 제안된 프로그램은 수중 로봇의 위치에 깊이를 확인할 수 있도록 다차원 포지셔닝 모니터링 기능과 3차원 화면을 통해 이동 경로 제어할 수 있는 기능으로 구성된다. 성능평가를 통해 수중 로봇이 수조 모습과 동일하게 출력되어 3차원 화면으로 다양한 각도에서 모니터링 확인이 가능하였으며, 설정 경로와 실제 위치의 차이가 평균 6.44m 이내로써 상정 범위 내의 오차를 확인하였다.

Effect of suitable dietary glycine supplementation on growth production, meat quality, serum parameters, and stress alleviation of broiler under heat stress condition

  • Jiseon Son;Woo-Do Lee;Hyunsoo Kim;Eui-Chul Hong;Hee-Jin Kim;Yeon-Seo Yun;Hwan Ku Kang
    • 농업과학연구
    • /
    • 제50권4호
    • /
    • pp.603-616
    • /
    • 2023
  • This study was conducted to investigate the productivity, meat quality, blood variables, stress responses, and litter quality of broilers offered feed with different levels of Glycine (Gly) supplementation under heat stress condition. A total of 760 one-day-old Ross 308 broiler males were randomly assigned to one of the four dietary treatment groups: (1) basal diet (control; CON); (2) basal diet + Gly 0.1% (Gly 0.1%); (3) basal diet + Gly 0.2% (Gly 0.2%); and (4) basal diet + Gly 0.3% (Gly 0.3%). The environments for all the treatments groups were maintained according to broiler rearing guidelines from day 1 to day 21, and heat stress condition (32 ± 1℃, 60 ±5%) was created from day 22 to the end. The addition of Gly increased weight gain and affected feed intake (p < 0.05). Gly 0.1% group had higher pH and ferric reducing antioxidant power (FRAP) in the chicken meat and lower heterophil (HE)/lymphocyte (LY) ratio in the blood (p < 0.05). In particular, Gly 0.2% treatment group had lower serum corticosterone level (p < 0.05) than other groups. For jejunum morphology, the addition of Gly 0.2% significantly reduced the depth of the crypts (p < 0.05). However, the addition of Gly did not significantly affect litter quality (p > 0.05). In conclusion, the addition of glycine improved productivity and meat quality, alleviated heat stress, and improved intestinal function. Further studies are needed to determine the optimal level and mechanism of action of the additive when ingested.