• Title/Summary/Keyword: large space

Search Result 4,140, Processing Time 0.033 seconds

Indoor Positioning System using Geomagnetic Field with Recurrent Neural Network Model (순환신경망을 이용한 자기장 기반 실내측위시스템)

  • Bae, Han Jun;Choi, Lynn;Park, Byung Joon
    • The Journal of Korean Institute of Next Generation Computing
    • /
    • v.14 no.6
    • /
    • pp.57-65
    • /
    • 2018
  • Conventional RF signal-based indoor localization techniques such as BLE or Wi-Fi based fingerprinting method show considerable localization errors even in small-scale indoor environments due to unstable received signal strength(RSS) of RF signals. Therefore, it is difficult to apply the existing RF-based fingerprinting techniques to large-scale indoor environments such as airports and department stores. In this paper, instead of RF signal we use the geomagnetic sensor signal for indoor localization, whose signal strength is more stable than RF RSS. Although similar geomagnetic field values exist in indoor space, an object movement would experience a unique sequence of the geomagnetic field signals as the movement continues. We use a deep neural network model called the recurrent neural network (RNN), which is effective in recognizing time-varying sequences of sensor data, to track the user's location and movement path. To evaluate the performance of the proposed geomagnetic field based indoor positioning system (IPS), we constructed a magnetic field map for a campus testbed of about $94m{\times}26$ dimension and trained RNN using various potential movement paths and their location data extracted from the magnetic field map. By adjusting various hyperparameters, we could achieve an average localization error of 1.20 meters in the testbed.

Internal Dynamics of Wetland Specialist, Population of Lychnis wilfordii (Regel) Maxim. (습지 전문종인 제비동자꽃(Lychnis wilfordii (Regel) Maxim.) 개체군의 내적동태)

  • Chae, Hyun-Hee;Kim, Young-Chul;Kwak, Myoung-Hai;Nam, Gi-Heum
    • Korean Journal of Environment and Ecology
    • /
    • v.35 no.3
    • /
    • pp.237-255
    • /
    • 2021
  • Lychnis wilfordii (Regel) Maxim. is one of the wetland specialists mainly distributed in peatlands at high latitudes. In Korea, it is isolated in two regions. This study investigated habitats, growth traits, and self-compatibility of L. wilfordii and assessed the internal dynamics of its population persistence. Its population has remained stable in the Yongneup Wetland Protected Area (YWPA). There was a clear difference in vegetation environment between YWPA and the distribution area in Daegwallyeong (DWL), Pyeongchang-gun. It has self-compatibility while pollinators facilitate its seed production. It produces a large number of hibernacles and bears the maximum number of branches and fruits in soil with rich organic contents. However, it grows and bears fruits even under the condition of low organic contents. In YWPA, L. wilfordii is not distributed in high moor but widely distributed in low moor where tussocks by Carex thunbergii var. appendiculata are developed. It is mainly distributed on the top of tussocks also. Therefore, it is judged that the formation, growth, and extinction of tussocks by C. thunbergii var. appendiculata is closely related to the establishment, growth, and extinction of plants distributed in this space. It is assessed that the current YWPA has well-developed tussocks in which L. wilfordii is widely distributed, and extinction and re-establishment progress well. Accordingly, the L. wilfordii population is expected to be sustainable in the long term given if its current ecological process is maintained well.

A Study on the Supply Status and Methods of Improvement for Social Welfare Facilities -Focused on the Senior·Child·Disabled Welfare Facilities- (사회복지시설 공급현황 및 개선방안에 관한 연구 -노인·아동·장애인 복지시설을 중심으로-)

  • Choi, Byung-so;Lee, Myeong-Hun
    • The Journal of the Korea Contents Association
    • /
    • v.21 no.8
    • /
    • pp.337-355
    • /
    • 2021
  • Demographic changes such as an aging and low fertility, as well as changes in industrial structure and residential environment, revealed the limitations of urban development policies. Accordingly, the government is making efforts to ensure a prosperous life for the people by including the plan to expand the living SOC in the national urban regeneration policy. The main priority tasks of the Living SOC include the establishment of welfare infrastructure for children and the vulnerable. This means that interest in welfare is increasing recently. In this study, we analyzed the supply status of welfare facilities for the senior, child and the disabled in 17 cities and provinces nationwide using LQ (Location Quotient). After analyzing the causes of the imbalance in the supply of welfare facilities by region, the improvement plan was suggested. Each welfare facility was highly localized by region, especially the accessibility gap between cities and provinces is very large. Welfare finances were similar in most cities and provinces, with the exception of some cities and provinces. In the case of cities with very high living standards, sufficient facilities were not provided. Improvement methods are as follows; Combination of welfare facilities that can maximize space efficiency, Securing appropriate welfare finance in consideration of living standards by city and province, Differentiation of supply method considering demand and user types for welfare facilities.

Information Technologies as an Incentive to Develop the Creative Potential of the Educational Process

  • Natalia, Vdovychenko;Volodymyr, Kukorenchuk;Alina, Ponomarenko;Mykola, Honcharenko;Eduard, Stranadko
    • International Journal of Computer Science & Network Security
    • /
    • v.22 no.4
    • /
    • pp.408-416
    • /
    • 2022
  • The new millennium is characterized by an unprecedented breakthrough in knowledge and information and communication technologies, and the challenges of the XXI century require modernized paradigms of interaction in all spheres of life. Education continues to play a key role in national and global growth. The key role of education and its leadership in developing creative potential, as the main paradigm of the countries' stability, have significantly influenced educational centers. The developers of educational programs use information technologies as an incentive to develop creative potential of educational process. Professional training of the educational candidate is enhanced by the use of information technologies, so the educational applicants should develop technological skills to be productive members of society. Using the latest achievements in the field of information technologies for the organization of the educational process helps to form the operational style of education applicants' thinking, which provides the ability to acquire skills of processing information, that is presented in the text, graphic, tabular form, and increase the level of general and informational culture necessary for better orientation in the modern information space. The purpose of the research is to determine the effectiveness of information technologies as an incentive to develop creative potential of educational process on the basis of the survey, to establish advantages and ability to provide high-quality education in the context of using information technologies. Methods of research: comparative analysis; systematization; generalization, survey. Results. Based on the survey conducted among students and teachers, it has been found out that the teachers use the following information technologies for the development of creative potential of the educational process: to provide video and audio communication process (100%), Moodle (95,6%), Duolingo (89,7%), LinguaLeo (89%), Google Forms (88%) and Adobe Captivate Prime (80,6%). It is determined that modular digital learning environments (97,9%), interactive exercises tools (96,3%), ICT for video and audio communication (96%) and interactive exercises tools (95,1%) are most conducive to the development of creative potential of the educational process. As a result of the research, it was revealed that implementation of information technologies for the development of creative potential of educational process in educational institutions is a complex process due to a large number of variables, which should be taken into account both on the educational course and on the individual level. It has been determined that the using the model of implementation information technologies for the development of creative potential in educational process, which is stimulated due to this model, benefits both students and teachers by establishing a reliable bilateral connection between teacher and education applicant.

A Study for Generation of Artificial Lunar Topography Image Dataset Using a Deep Learning Based Style Transfer Technique (딥러닝 기반 스타일 변환 기법을 활용한 인공 달 지형 영상 데이터 생성 방안에 관한 연구)

  • Na, Jong-Ho;Lee, Su-Deuk;Shin, Hyu-Soung
    • Tunnel and Underground Space
    • /
    • v.32 no.2
    • /
    • pp.131-143
    • /
    • 2022
  • The lunar exploration autonomous vehicle operates based on the lunar topography information obtained from real-time image characterization. For highly accurate topography characterization, a large number of training images with various background conditions are required. Since the real lunar topography images are difficult to obtain, it should be helpful to be able to generate mimic lunar image data artificially on the basis of the planetary analogs site images and real lunar images available. In this study, we aim to artificially create lunar topography images by using the location information-based style transfer algorithm known as Wavelet Correct Transform (WCT2). We conducted comparative experiments using lunar analog site images and real lunar topography images taken during China's and America's lunar-exploring projects (i.e., Chang'e and Apollo) to assess the efficacy of our suggested approach. The results show that the proposed techniques can create realistic images, which preserve the topography information of the analog site image while still showing the same condition as an image taken on lunar surface. The proposed algorithm also outperforms a conventional algorithm, Deep Photo Style Transfer (DPST) in terms of temporal and visual aspects. For future work, we intend to use the generated styled image data in combination with real image data for training lunar topography objects to be applied for topographic detection and segmentation. It is expected that this approach can significantly improve the performance of detection and segmentation models on real lunar topography images.

Effects of Animal Welfare-Certified Rearing Systems on the Blood Parameters and Meat Quality Characteristics of Broilers at the Farm Level in Korea

  • Jeon, Jin-Joo;Kim, Hee-Jin;Kim, Hye-Jin;Kang, Hwan-Ku;Kim, Chan-Ho;Kim, Hyun-Soo;Kang, Bo-Seok;Kim, Sang-Ho;Jang, Aera
    • Food Science of Animal Resources
    • /
    • v.42 no.1
    • /
    • pp.128-141
    • /
    • 2022
  • Compared to the conventional farms (CF) rearing of broilers, the rearing management of animal welfare-certified farms (AF) must provide low stocking density, perch, air regulation, and feeding plant-based protein. This study aimed to compare the effects of rearing management in CF and AF on blood parameters, meat quality, and bioactive compound content in Ross 308 broiler chickens at the farm level before transportation to slaughterhouses. Blood and meat samples were obtained at 28-35-dayold chickens from three CF and three AF. In blood samples, low-density lipoprotein cholesterol (p<0.05), triglyceride (p<0.001), glucose (p<0.01), total protein (p<0.001), albumin (p<0.01), and white blood cell (p<0.001) levels as well as the heterophil/ lymphocyte ratio [stress index (SI), p<0.001] were lower in broilers from AF than in CF. In meat samples, shear force (p<0.001, p<0.05), and carnosine contents (p<0.001, p<0.05) in both breast and thigh meat from AF were higher than those in meat from CF. The contents of linoleic acid (p<0.001), α-linolenic acid (p<0.001), and eicosapentaenoic acid (p<0.05) were higher in the samples from AF than those from CF. This study reveals that such differences are influenced by the different rearing factors in nutrition, housing, and management practices between CF and AF. Supplementation of plant-based protein and enough space to move due to lower stocking density accounts for the large differences between them. These results can be used as preliminary data showing that the AF system reduces the SI and enhances carnosine and polyunsaturated fatty acids levels in chicken meat at the farm level before transportation.

Evaluation of Segment Lining Fire Resistance Based on PP Fiber Dosage and Air Contents (세그먼트 라이닝의 PP섬유 혼입량과 공기량 변화에 따른 화재저항 특성 평가)

  • Choi, Soon-Wook;Kang, Tae Sung
    • Tunnel and Underground Space
    • /
    • v.31 no.6
    • /
    • pp.469-479
    • /
    • 2021
  • As a material for preventing spalling of concrete, the effectiveness of PP fiber has already been confirmed. However, it is necessary to consider the maximum temperature that occurs during a fire, and to solve the mixing problem and the strength reduction problem that occur depending on the mixing amount. In this study, the fire resistance performance of tunnel segment linings according to the PP fiber content and air volume under the RABT fire scenario was investigated. As a result, no spalling or cross-sectional loss occurred in all test specimens, and when the PP fiber content was small, the maximum temperature was relatively high and the maximum temperature arrival time was also fast. On the other hand, no trend was found for the maximum temperature and arrival time according to the difference in air volume. In the internal temperature distribution results for the PP fiber mixing amount of 0.75, 1.0, 1.5, and 2.0 kg/m3, the results of 0.75 and 1.0 kg/m3 showed similar temperature distribution, and the results of 1.5 and 2.0 kg/m3 were similar. It was confirmed that the internal temperature distribution tends to decrease at the same depth when the amount of PP fiber mixed is large, and it was confirmed that a remarkable difference occurred from the results of 1.0 kg/m3 and 1.5 kg/m3 of PP fiber mixed amounts.

A Study on the Improvement of Fire Alarm System in Special Buildings Using Beacons in Edge Computing Environment (에지 컴퓨팅 환경에서 비콘을 활용한 특수건물 화재 경보 시스템 개선 방안 연구)

  • Lee, Tae Gyu;Choi, Kyeong Seo;Shin, Youn Soon
    • KIPS Transactions on Computer and Communication Systems
    • /
    • v.11 no.7
    • /
    • pp.217-224
    • /
    • 2022
  • Today, with the development of technology and industry, fire accidents in special buildings are increasing as special buildings increase. However, despite the rapid development of information and communication technology, human casualties are steadily occurring due to the underdeveloped and ineffective indoor fire alarm system. In this study, we confirmed that the existing indoor fire alarm system using acoustic alarm could not deliver a sufficiently large alarm to the in-room personnel. To improve this, we designed and implemented a fire alarm system using edge computing and beacons. The proposed improved fire alarm system consists of terminal sensor nodes, edge nodes, a user application, and a server. The terminal sensor nodes collect indoor environment data and send it to the edge node, and the edge node monitors whether a fire occurs through the transmitted sensor value. In addition, the edge node continuously generate beacon signals to collect information of smart devices with user applications installed within the signal range, store them in a server database, and send application push-type fire alarms to all in-room personnel based on the collected user information. As a result of conducting a signal valid range measurement experiment in a university building with dense lecture rooms, it was confirmed that device information was normally collected within the beacon signal range of the edge node and a fire alarm was quickly sent to specific users. Through this, it was confirmed that the "blind spot problem of the alarm" was solved by flexibly collecting information of visitors that changes time to time and sending the alarm to a smart device very adjacent to the people. In addition, through the analysis of the experimental results, a plan to effectively apply the proposed fire alarm system according to the characteristics of the indoor space was proposed.

Economic Analysis on the Automation System of the Cultivation Process in the Plant Factory (식물공장 재배 공정 자동화 시스템의 경제성 분석)

  • Jung, Mincheol;Kim, Handon;Kim, Jimin;Choi, Jeongmin;Jang, Hyounseung;Jo, Soun
    • Korean Journal of Construction Engineering and Management
    • /
    • v.23 no.4
    • /
    • pp.57-64
    • /
    • 2022
  • A plant factory is a facility that creates an artificial environment in a controlled space and produces plants systematically through automated facilities. However, automation in the cultivation process is insufficient compared to the internal environment control technology in plant factories. This causes the problem of an increase in operating costs due to the input of a large number of workers. Therefore, this study aims to evaluate economic feasibility by comparing before and after introducing automation in the cultivation process of plant factories. The target plant factory to be analyzed was selected, and the break-even point analysis method was used by comparing the cost required compared to the operating period. As a result, the break-even point was analyzed to be 3.4 years when automation was introduced into six processes for plant cultivation. Therefore, it can be judged that the introduction of automation is excellent in terms of economic feasibility when the target plant factory has been operated for more than 3.4 years. This study is expected to be used as basic data to analyze the economic feasibility of introducing automation in domestic and foreign plant factories.

Research of Water-related Disaster Monitoring Using Satellite Bigdata Based on Google Earth Engine Cloud Computing Platform (구글어스엔진 클라우드 컴퓨팅 플랫폼 기반 위성 빅데이터를 활용한 수재해 모니터링 연구)

  • Park, Jongsoo;Kang, Ki-mook
    • Korean Journal of Remote Sensing
    • /
    • v.38 no.6_3
    • /
    • pp.1761-1775
    • /
    • 2022
  • Due to unpredictable climate change, the frequency of occurrence of water-related disasters and the scale of damage are also continuously increasing. In terms of disaster management, it is essential to identify the damaged area in a wide area and monitor for mid-term and long-term forecasting. In the field of water disasters, research on remote sensing technology using Synthetic Aperture Radar (SAR) satellite images for wide-area monitoring is being actively conducted. Time-series analysis for monitoring requires a complex preprocessing process that collects a large amount of images and considers the noisy radar characteristics, and for this, a considerable amount of time is required. With the recent development of cloud computing technology, many platforms capable of performing spatiotemporal analysis using satellite big data have been proposed. Google Earth Engine (GEE)is a representative platform that provides about 600 satellite data for free and enables semi real time space time analysis based on the analysis preparation data of satellite images. Therefore, in this study, immediate water disaster damage detection and mid to long term time series observation studies were conducted using GEE. Through the Otsu technique, which is mainly used for change detection, changes in river width and flood area due to river flooding were confirmed, centered on the torrential rains that occurred in 2020. In addition, in terms of disaster management, the change trend of the time series waterbody from 2018 to 2022 was confirmed. The short processing time through javascript based coding, and the strength of spatiotemporal analysis and result expression, are expected to enable use in the field of water disasters. In addition, it is expected that the field of application will be expanded through connection with various satellite bigdata in the future.