• Title/Summary/Keyword: Safe speed

Search Result 555, Processing Time 0.028 seconds

Technical problems of Li-Fi wireless network (무선 네트워크 기술 Li-Fi의 문제점)

  • Park, Hyun Uk;Kim, Hyun Ho;Lee, Hoon Jae
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
    • /
    • 2014.10a
    • /
    • pp.186-188
    • /
    • 2014
  • In recent years, domestic as well as LTE wireless network of Wi-Fi and most used. In addition, mobile-intensive services that used mainly in our society makes it easier, SNS, application (APP), and file downloads. As such, the amount of data requested, while living at the time of mobile users will want to be safe from the earliest. And the wireless network communications mortality (3G, 4G (LTE), LTE-A) and Wi-Fi (802.11 n-2.4 G H z z H a c-5, 802.11 G), and users are mainly used in the death 4G (LTE), communication Wi-Fi, 802.11 n-2.4 GHz are used most frequently. As above, use the wireless network in order to safely and quickly developed the technology of the Li-Fi. Li-Fi light (visible light) technology to communicate with, and Wi-Fi (802.11 n-2.4 G z H) 100 times faster, LTE-A 66 times faster. However, the current Li-Fi to commercialise the big issue exists. In this paper, there are a lot of existing problems in the commercialization of Li-Fi being used in Wi-Fi, and a comparative analysis.

  • PDF

Detection of Zebra-crossing Areas Based on Deep Learning with Combination of SegNet and ResNet (SegNet과 ResNet을 조합한 딥러닝에 기반한 횡단보도 영역 검출)

  • Liang, Han;Seo, Suyoung
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
    • /
    • v.39 no.3
    • /
    • pp.141-148
    • /
    • 2021
  • This paper presents a method to detect zebra-crossing using deep learning which combines SegNet and ResNet. For the blind, a safe crossing system is important to know exactly where the zebra-crossings are. Zebra-crossing detection by deep learning can be a good solution to this problem and robotic vision-based assistive technologies sprung up over the past few years, which focused on specific scene objects using monocular detectors. These traditional methods have achieved significant results with relatively long processing times, and enhanced the zebra-crossing perception to a large extent. However, running all detectors jointly incurs a long latency and becomes computationally prohibitive on wearable embedded systems. In this paper, we propose a model for fast and stable segmentation of zebra-crossing from captured images. The model is improved based on a combination of SegNet and ResNet and consists of three steps. First, the input image is subsampled to extract image features and the convolutional neural network of ResNet is modified to make it the new encoder. Second, through the SegNet original up-sampling network, the abstract features are restored to the original image size. Finally, the method classifies all pixels and calculates the accuracy of each pixel. The experimental results prove the efficiency of the modified semantic segmentation algorithm with a relatively high computing speed.

Effects and safety of COVID-19 vaccination on assisted reproductive technology and pregnancy: A comprehensive review and joint statements of the KSRM, the KSRI, and the KOSAR

  • Han, Ae Ra;Lee, Dayong;Kim, Seul Ki;Choo, Chang Woo;Park, Joon Cheol;Lee, Jung Ryeol;Choi, Won Jun;Jun, Jin Hyun;Rhee, Jeong Ho;Kim, Seok Hyun;Korean Society for Reproductive Medicine (KSRM),;Korean Society for Reproductive Immunology (KSRI),;Korean Society for Assisted Reproduction (KOSAR),
    • Clinical and Experimental Reproductive Medicine
    • /
    • v.49 no.1
    • /
    • pp.2-8
    • /
    • 2022
  • Humanity is in the midst of the coronavirus disease 2019 (COVID-19) pandemic, and vaccines-including mRNA vaccines-have been developed at an unprecedented speed. It is necessary to develop guidelines for vaccination for people undergoing treatment with assisted reproductive technology (ART) and for pregnancy-related situations based on the extant laboratory and clinical data. COVID-19 vaccines do not appear to adversely affect gametes, embryos, or implantation; therefore, active vaccination is recommended for women or men who are preparing for ART. The use of intravenous immunoglobulin G (IVIG) for the treatment of immune-related infertility is unlikely to impact the effectiveness of the vaccines, so COVID-19 vaccines can be administered around ART cycles in which IVIG is scheduled. Pregnant women have been proven to be at risk of severe maternal and neonatal complications from COVID-19. It does not appear that COVID-19 vaccines harm pregnant women or fetuses; instead, they have been observed to deliver antibodies against severe acute respiratory syndrome coronavirus 2 (SARSCoV-2) to the fetus. Accordingly, it is recommended that pregnant women receive COVID-19 vaccination. There is no rationale for adverse effects, or clinical cases of adverse reactions, in mothers or neonates after COVID-19 vaccination in lactating women. Instead, antibodies to SARS-CoV-2 can be delivered through breast milk. Therefore, breastfeeding mothers should consider vaccination. In summary, active administration of COVID-19 vaccines will help ensure the safe implementation of ART, pregnancy, and breastfeeding.

Estimating soils properties using NIRS to assess amendments in intensive horticultural production

  • Pena, Francisco;Gallardo, Natalia;Campillo, Carmen Del;Garrido, Ana;Cabanas, Victor Fernandez;Delgado, Antonio
    • Proceedings of the Korean Society of Near Infrared Spectroscopy Conference
    • /
    • 2001.06a
    • /
    • pp.1615-1615
    • /
    • 2001
  • During the past ten years, Near Infrared Spectroscopy has been successfully applied to the analysis of a great variety of agriculture products. Previous works (Morra et al., 1991; Salgo et al., 1998) have shown the potential of this technology for soil analysis, estimating different parameters just with one single scan. The main advantages of NIR applications in soils are the speed of response, allowing the increase of the number of samples analysed to define a particular soil, and the instantaneous elaboration of recommendations for fertilization and soil amendment. Another advantage is to avoid the use of chemical reagents at all, being an environmentally safe technique. In this paper, we have studied a set of 129 soil samples selected from representative glasshouse soils from Southern Spain. The samples were dried, milled, and sieved to pass a 2 mm sieve and then analysed for organic carbon, total nitrogen, inorganic nitrogen (nitrate ammonium), hygroscopic humidity, pH and electrical conductivity in the 1:1 extract. NIR spectra of all samples were obtained in reflectance mode using a Foss NIR Systems 6500 spectrophotometer equipped with a spinning module. Calibration equations were developed for seven analytical parameters (ph, Total nitrogen, organic nitrogen, organic carbon, C/N ratio and Electric Conductivity). Preliminary results show good correlation coefficients and standard errors of cross validation in equations obtained for Organic Carbon, Organic Nitrogen, Total Nitrogen and C/N ratio. Calibrations for nitrates and nitrites, ammonia and electric conductivity were not acceptable. Calibration obtained for pH had an acceptable SECV, but the determination coefficient was found very poor probably due to the reduced range in reference values. Since the estimation of Organic Carbon and C/N ratio are acceptable NIIRS could be used as a fast method to assess the necessity of organic amendments in soils from Mediterranean regions where the low level of organic matter in soils constitutes an important agronomic problem. Furthermore, the possibility of a single and fast estimation of Total Nitrogen (tedious determination by modifications of the Kjeldahl procedure) could provide and interesting data to use in the estimation of nitrogen fertilizer rates by means of nitrogen balances.

  • PDF

Next-generation Vaccines for Infectious Viral Diseases (차세대 감염병 백신)

  • Sun-Woo Yoon
    • Journal of Life Science
    • /
    • v.33 no.9
    • /
    • pp.746-753
    • /
    • 2023
  • Viral infectious diseases have been regarded as one of the greatest threats to global public health. The recent coronavirus disease 2019 (COVID-19) pandemic caused by the severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) is a stark reminder of the threat posed by emerging viral infections. Developing and producing appropriate and efficient vaccines and therapeutics are the only options to combat this pandemic. The COVID-19 pandemic has highlighted the need for novel vaccine platforms to control and prevent emerging viral diseases. Conventional vaccine platforms, including live-attenuated vaccine and inactivated vaccines, pose limitations in the speed of vaccine development, manufacturing capacity, and broad protection for emergency use. Interestingly, vaccination with the SARS-CoV-2 vaccine candidate based on the mRNA-lipid nanoparticle (LNP) platform protected against COVID-19, confirming that the nucleoside-modified candidate is a safe and effective alternative to conventional vaccines. Moreover, the prophylactic strategies against the COVID-19 pandemic have been mRNA nucleic acid-based vaccines and nanoparticle-based platforms, which are effective against SARS-CoV-2 and its variants. Overall, the novel vaccine platform has presented advantages compared with the traditional vaccine platform in the COVID-19 pandemic. This review explores the recent advancements in vaccine technologies and platforms, focusing on mRNA vaccines, digital vaccines, and nanoparticles while considering their advantages and possible drawbacks.

Analysis of Traffic Flow Based on Autonomous Vehicles' Perception of Traffic Safety Signs in Urban Roads (도시부 도로 내 자율주행차량의 교통안전표지 정보 인지 시점에 따른 교통류 분석)

  • Jongho Kim;Hyeokjun Jang;Eum Han;Eunjeong Ko
    • The Journal of The Korea Institute of Intelligent Transport Systems
    • /
    • v.22 no.5
    • /
    • pp.148-162
    • /
    • 2023
  • The objective of this study is to derive the appropriate perception location for changes in driving behavior of autonomous vehicles in urban road environments based on traffic safety signs. For this purpose, 32 types of signs that induce changes in driving behavior were selected from currently used traffic safety signs and classified as three types according to changes in driving behavior. Based on this, three scenarios were designed: stop, speed change, and lane change scenarios. These were used to confirm the impact on traffic flow. As a result of the analysis, it was found that each scenario needs to receive information on traffic safety signs in advance to ensure changes in traffic flow and safety. Consequently, the appropriate perception location can be used as a basis for establishing standards for delivering message sets to autonomous vehicles or revising traffic safety signs for them. In addition, this study is expected to contribute to the establishment of safe and efficient driving strategies on urban roads as autonomous vehicles are introduced in the future.

Studying the Comparative Analysis of Highway Traffic Accident Severity Using the Random Forest Method. (Random Forest를 활용한 고속도로 교통사고 심각도 비교분석에 관한 연구)

  • Sun-min Lee;Byoung-Jo Yoon;WutYeeLwin
    • Journal of the Society of Disaster Information
    • /
    • v.20 no.1
    • /
    • pp.156-168
    • /
    • 2024
  • Purpose: The trend of highway traffic accidents shows a repeating pattern of increase and decrease, with the fatality rate being highest on highways among all road types. Therefore, there is a need to establish improvement measures that reflect the situation within the country. Method: We conducted accident severity analysis using Random Forest on data from accidents occurring on 10 specific routes with high accident rates among national highways from 2019 to 2021. Factors influencing accident severity were identified. Result: The analysis, conducted using the SHAP package to determine the top 10 variable importance, revealed that among highway traffic accidents, the variables with a significant impact on accident severity are the age of the perpetrator being between 20 and less than 39 years, the time period being daytime (06:00-18:00), occurrence on weekends (Sat-Sun), seasons being summer and winter, violation of traffic regulations (failure to comply with safe driving), road type being a tunnel, geometric structure having a high number of lanes and a high speed limit. We identified a total of 10 independent variables that showed a positive correlation with highway traffic accident severity. Conclusion: As accidents on highways occur due to the complex interaction of various factors, predicting accidents poses significant challenges. However, utilizing the results obtained from this study, there is a need for in-depth analysis of the factors influencing the severity of highway traffic accidents. Efforts should be made to establish efficient and rational response measures based on the findings of this research.

Standards for the Use of Tugboats owing to the Increase in the Size of Ships - Focusing on the Busan New Port - (선박 대형화에 따른 예선 사용 기준에 관한 연구 - 부산 신항을 중심으로 -)

  • Chang-Hyun Jung;Chol-Seong Kim;Yun-Sok Lee;Young-Soo Park
    • Journal of the Korean Society of Marine Environment & Safety
    • /
    • v.30 no.2
    • /
    • pp.157-164
    • /
    • 2024
  • In 2020, 24,000 TEU ultra-large container ships began arriving at the Busan New Port. In this study, the wind pressure and hydraulic force acting on the hull were calculated to obtain the horsepower required for the tugboats for safe berthing and unberthing of a 24,000 TEU ultra-large container ship at the Busan New Port. When the wind speed is 10 m/s (20 kts), 13,000 TEU container ships meet the tug horsepower standard of the current Busan port tugboat operation rules, but 16,000 TEU and 24,000 TEU container ships do not satisfy the regulations. Therefore, it was proposed to raise the standards for tugboat use by dividing the size of ships of "G/T 150,000 tons or more," which is the largest vessel under the current tugboat use standards, into two stages. Because 140,000 tons requires 12,100 horsepower, 170,000 tons requires 14,500 horsepower, and 230,000 tons requires 18,000 horsepower, the study proposed 16,000 horsepower for 150,000 to less than 200,000 tons and 18,000 horsepower for 200,000 tons or more for the use of tugboats.

Development of the Risk Evaluation Model for Rear End Collision on the Basis of Microscopic Driving Behaviors (미시적 주행행태를 반영한 후미추돌위험 평가모형 개발)

  • Chung, Sung-Bong;Song, Ki-Han;Park, Chang-Ho;Chon, Kyung-Soo;Kho, Seung-Young
    • Journal of Korean Society of Transportation
    • /
    • v.22 no.6
    • /
    • pp.133-144
    • /
    • 2004
  • A model and a measure which can evaluate the risk of rear end collision are developed. Most traffic accidents involve multiple causes such as the human factor, the vehicle factor, and the highway element at any given time. Thus, these factors should be considered in analyzing the risk of an accident and in developing safety models. Although most risky situations and accidents on the roads result from the poor response of a driver to various stimuli, many researchers have modeled the risk or accident by analyzing only the stimuli without considering the response of a driver. Hence, the reliabilities of those models turned out to be low. Thus in developing the model behaviors of a driver, such as reaction time and deceleration rate, are considered. In the past, most studies tried to analyze the relationships between a risk and an accident directly but they, due to the difficulty of finding out the directional relationships between these factors, developed a model by considering these factors, developed a model by considering indirect factors such as volume, speed, etc. However, if the relationships between risk and accidents are looked into in detail, it can be seen that they are linked by the behaviors of a driver, and depending on drivers the risk as it is on the road-vehicle system may be ignored or call drivers' attention. Therefore, an accident depends on how a driver handles risk, so that the more related risk to and accident occurrence is not the risk itself but the risk responded by a driver. Thus, in this study, the behaviors of a driver are considered in the model and to reflect these behaviors three concepts related to accidents are introduced. And safe stopping distance and accident occurrence probability were used for better understanding and for more reliable modeling of the risk. The index which can represent the risk is also developed based on measures used in evaluating noise level, and for the risk comparison between various situations, the equivalent risk level, considering the intensity and duration time, is developed by means of the weighted average. Validation is performed with field surveys on the expressway of Seoul, and the test vehicle was made to collect the traffic flow data, such as deceleration rate, speed and spacing. Based on this data, the risk by section, lane and traffic flow conditions are evaluated and compared with the accident data and traffic conditions. The evaluated risk level corresponds closely to the patterns of actual traffic conditions and counts of accident. The model and the method developed in this study can be applied to various fields, such as safety test of traffic flow, establishment of operation & management strategy for reliable traffic flow, and the safety test for the control algorithm in the advanced safety vehicles and many others.

A Study on Ensuring Biosafety of Biotechnology Product under Debate about Trade and the Environment (DDA 무역-환경 논의와 생명공학제품의 안전성 확보)

  • Sung, Bong-Suk;Yoon, Ki-Kwan
    • Environmental and Resource Economics Review
    • /
    • v.13 no.3
    • /
    • pp.519-547
    • /
    • 2004
  • This paper analyze problems about scope of specific trade obligations(STOs), principle of dispute settlement procedure, and non-parties in context of the Cartagena Protocol on Biosafety(POB), which based on sub-paragraph 31(i) of DDA WTO Ministrial Declaration. The implications based on result of this study are as follows. First, to accept the wider scope of STOs under POB in Korea, importing country, won't be harmful to LMOs and Bioindustry. Instead, it will ensure a high level of biosafety concerning the import of LMOs. Exporters can take different kinds of trade measures to countervail adverse effect on the export of LMOs in this case. Therefore importer will endure the aftereffect. However, if korea were in exporter's place, to accept the wider scope STOs under POB will not have a good influence on the export of LMOs. Korea, therefore, should devise scheme for responding to debate about the STOs in MEAs, which have to be based on cost-benefit analysis and scenarios taking into account of speed and level in biotechology progress, status and trend of LMOs R&D and production, and condition of other industries. Second, it is not easy to agree with applying to what's rule between the POB and WTO for settlement dispute. Because there is the incompatibility between the POB characterized according to social rationality and WTO's rules for safety and environmental protection characterized according to scientific rationality. This issue have to be discussed for long period due to gap like that. Accordingly Korea, one of major LMOs importing countries, should suggest continuously that the effort is needed to ensure an adequate level of protection in transboundary movements of LMOs and scientific, environmental and socio-economic study. Third, in case of dispute between party and non-party of the POB, the duties under the WTO of non-party of the POB(if WTO member country) is valid. The country, therefore, will try to settle dispute based on WTO's rules. However, international society have to ensure for sound and safe use of LMOs in the field of transboundary movements. Accordingly Korea should devise scheme for preventing the possibility of dispute between party and non-party of the POB(if WTO member country), which is supported by policy options under the POB.

  • PDF