• Title/Summary/Keyword: 360도

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A study on the design of an efficient hardware and software mixed-mode image processing system for detecting patient movement (환자움직임 감지를 위한 효율적인 하드웨어 및 소프트웨어 혼성 모드 영상처리시스템설계에 관한 연구)

  • Seungmin Jung;Euisung Jung;Myeonghwan Kim
    • Journal of Internet Computing and Services
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    • v.25 no.1
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    • pp.29-37
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    • 2024
  • In this paper, we propose an efficient image processing system to detect and track the movement of specific objects such as patients. The proposed system extracts the outline area of an object from a binarized difference image by applying a thinning algorithm that enables more precise detection compared to previous algorithms and is advantageous for mixed-mode design. The binarization and thinning steps, which require a lot of computation, are designed based on RTL (Register Transfer Level) and replaced with optimized hardware blocks through logic circuit synthesis. The designed binarization and thinning block was synthesized into a logic circuit using the standard 180n CMOS library and its operation was verified through simulation. To compare software-based performance, performance analysis of binary and thinning operations was also performed by applying sample images with 640 × 360 resolution in a 32-bit FPGA embedded system environment. As a result of verification, it was confirmed that the mixed-mode design can improve the processing speed by 93.8% in the binary and thinning stages compared to the previous software-only processing speed. The proposed mixed-mode system for object recognition is expected to be able to efficiently monitor patient movements even in an edge computing environment where artificial intelligence networks are not applied.

A Study on Determinants of VR Video Content Popularity (VR 영상 조회수 결정요인 연구)

  • Soojeong Kim;Chanhee Kwak;Minhyung Lee;Junyeong Lee;Heeseok Lee
    • Information Systems Review
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    • v.22 no.2
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    • pp.25-41
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    • 2020
  • Along with the expectation about 5G network commercialization, interests in realistic and immersive media industries such as virtual reality (VR) are increasing. However, most of studies on VR still focus on video technologies instead of factors for popularity and consumption. Thus, the main objective of this research is to identify meaningful factors, which affect the view counts of VR videos and to provide business implications of the content strategies for VR video creators and service providers. Using a regression analysis with 700 VR videos, this study tries to find major factors that affect the view counts of VR videos. As a result, user assessment factors such as number of likes and sicknesses have a strong influence on the view counts. In addition, the result shows that both general information factors (video length and age) and content characteristic factors (series, one source multi use (OSMU), and category) are all influential factors. The findings suggest that it is necessary to support recommendation and curation based on user assessments for increasing popularity and diffusion of VR video streaming.

A Study for Continue and Decline of Abies koreana Forest using Species Distribution Model - Focused in Mt. Baekwun Gwangyang-si, Jeollanam-do - (종 분포 모형을 이용한 구상나무림의 지속 및 쇠퇴에 관한 연구 - 전라남도 광양시 백운산을 중심으로 -)

  • Cho, Seon-Hee;Park, Jong-young;Park, Jeong-Ho;Lee, Yang-Geun;Mun, Lee-man;Kang, Sang-Ho;Kim, Gwang-Hyun;Yun, Jong-Guk
    • Journal of Korean Society of Forest Science
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    • v.104 no.3
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    • pp.360-367
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    • 2015
  • The present study investigated the habitats of Korean fir trees (Abies koreana E. H. Wilson) on Mt. Baekwun (Baekwun-san), determined the current distribution, quantified the contribution of biological and non-biological environmental factors affecting the distribution, derived actual and potential habitats, presented a plan for the establishment of protected areas, applied RCP 8.5 climate change scenario to analyze the effects of climate change on the future distribution of Korean fir trees, and predicted future potential habitats. According to the results of the study, 3,325 Korean fir trees (DBH >= 2.5 cm) inhabited Mt. Baekwun, and their distribution area was approximately 150 ha. Populations of Korean fir trees were confirmed to exist at an altitude of 900 m above sea level and were distributed up to 1,200 m. Based on potential distribution, areas appropriate for habitation by Korean fir trees were analyzed to be 450 ha, three times the current distribution area, with a focus on Sang Peak (Sang-bong), Eokbul Peak (Eokbul-bong), Ddari Peak (Ddari-bong), and Dosol Peak (Dosol-bong). The forest stands near Sang Peak, the main peak, were evaluated as those with the most appropriate potential for the habitation of Korean fir trees, and populations of the trees tended to prefer the northern slope rather than the southern slope. When climate change scenario RCP 8.5 was applied and future potential distribution was analyzed, the habitats were expected to decrease in area to 20 ha by 2050, with a focus on Sang Peak, and areas appropriate for habitation were predicted not to exist by 2080. Judging from such results, as global warming accelerates, the habitats of Korean fir trees are clearly expected to move from lowlands to highlands.

The Knowledge, Attitude, and Practices Related to Noncommunicable Diseases Among Korean Adults Residing in Urban and Rural Areas -Focusing on Hypertension, Diabetes, and Cancer- (도시 및 시골에 거주하는 성인들의 성인병에 대한 지식, 태도 및 실천 - 고혈압, 당뇨병 및 암을 중심으로 -)

  • Kim, Byung-Sung;Kim, Kong-Hyun;Lee, Chae-Un;Shin, Hae-Rim;Park, Hyung-Jong
    • Korean Journal of Health Education and Promotion
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    • v.9 no.1
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    • pp.14-29
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    • 1992
  • 의학이 발달하고 수명이 연장되고, 그리고 식사가 보다 서양화되는 등 생활양식이 변화됨에 따라 성인병이 1970년대부터 한국에 보다 늘어나게 되었다. 본 연구는 면접 및 설문지법을 이용하여 성인병, 특히 고혈압, 당뇨병 및 암에 관하여 도시 및 시골 거주자들의 지식, 태도 및 실천을 비교 연구하였다. 연구기간은 1990년 1월 부터 12월까지 1년동안이었고 대상은 전체 716명으로 그중 360명은 부산시 거주자였고 356명은 부산 근교의 시골거주자였다. 고혈압, 당뇨병 및 암에 대해 알고 있다고 응답한 대상자는 각각 92.6%, 92.0% 및 74.7%였다. 고혈압, 당뇨병 및 암의 지식도에 있어서 도시 거주자들이 시골 거주자보다 유의하게 더 많이 알고 있었다(각각 p<0.001). 그러나 성인병에 관한 태도와 지식에 있어서는 도시 거주자와 시골 거주자 사이에 유의한 차이가 없었다(p<0.05). 고혈압의 지식도는 거주지(r=0.2159, p<0.01) 및 수입 (r=0.1882, p<0.01)과 유의한 상관관계가 있었고, 당뇨병에 관한 지식도는 거주지(r=0.3952, p<0.001), 수입(r=0.3663, p<0.001) 및 직업(r=0.2576, p<0.001), 수입(r=0.4138, p<0.001), 직업(r=0.3044, p<0.001) 및 성별(r=-0.1887, p<0.01)과 유의한 상관관계가 있었다. 성인병에 관한 태도는 성별(r=0.4748, p<0.001), 경제상태(r=0.2209, p<0.01) 및 고혈압 지식도(r=0.1844, p<0.01)와 유의한 상관관계를 나타내었다. 성인병에 관한 실천은 본 연구에서 어떤 변수와도 상관관계가 없는 것으로 나타났다. 성인병이 이전보다 더 많아짐에 따라 연령이 증가하는 나라와 개발국가에서 성인병이 주요한 대상질환이 될 것이고, 질병예방과 건강증진의 차원에서 성인병을 예방하기 위해 보건교육에 보다 중점을 두어야 할 것이다.

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A license plate area segmentation algorithm using statistical processing on color and edge information (색상과 에지에 대한 통계 처리를 이용한 번호판 영역 분할 알고리즘)

  • Seok Jung-Chul;Kim Ku-Jin;Baek Nak-Hoon
    • The KIPS Transactions:PartB
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    • v.13B no.4 s.107
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    • pp.353-360
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    • 2006
  • This paper presents a robust algorithm for segmenting a vehicle license plate area from a road image. We consider the features of license plates in three aspects : 1) edges due to the characters in the plate, 2) colors in the plate, and 3) geometric properties of the plate. In the preprocessing step, we compute the thresholds based on each feature to decide whether a pixel is inside a plate or not. A statistical approach is applied to the sample images to compute the thresholds. For a given road image, our algorithm binarizes it by using the thresholds. Then, we select three candidate regions to be a plate by searching the binary image with a moving window. The plate area is selected among the candidates with simple heuristics. This algorithm robustly detects the plate against the transformation or the difference of color intensity of the plate in the input image. Moreover, the preprocessing step requires only a small number of sample images for the statistical processing. The experimental results show that the algorithm has 97.8% of successful segmentation of the plate from 228 input images. Our prototype implementation shows average processing time of 0.676 seconds per image for a set of $1280{\times}960$ images, executed on a 3GHz Pentium4 PC with 512M byte memory.

Development of a Direct Evaluation Method to Measure the Rancidity of Yeonhaeju Soybean (Bazaz) Powders during Storage via the Fluorescence Spectrum Test (Fluorescence spectrum test를 이용한 연해주 대두(Bazaz) 분말의 저장 중 산패도 측정법 개발)

  • Uhm, Joo-Tae;Yoon, Won-Byong
    • Food Science and Preservation
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    • v.19 no.5
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    • pp.639-644
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    • 2012
  • The rancidity of soybean (Glycine max L.) from Yeonhaeju, called "Bazaz", in powder forms was evaluated through a fluorescence spectrum test (FST). The results from the FST were validated by comparing the TBA and acid values. Soybean powders were stored in 25, and $90^{\circ}C$ for 20 days. The maximum excitation and maximum emission of fluorescent compounds generated from the soybean powder during storage were observed at the 360 nm and 430-440 nm wavelengths, respectively. The mean particle size of soybean powder was maintained at $40{\mu}m$ to avoid the dependence of the reaction area during measurement. According to the FST results, lipid oxidation did not actively progress during storage at $25^{\circ}C$. The fluorescence intensity (FI) from FST on the first day of storage was not significantly different from that on the last day of storage (day 20; p < 0.05), but the FI dramatically increased at $90^{\circ}C$. A smooth increase was observed in the initial stage; then, after 11 days of storage, the FI value increased by nearly 100% compared to that on the first day. The FI values were compared with TBA and acid values that were measured under the same storage conditions. All the values at $25^{\circ}C$ showed similar patterns during storage, but at $90^{\circ}C$, the FI and acid values showed similar patterns but the TBA decreased after reaching the maximum values on storage day 12. The results demonstrated that FST may be useful for measuring the rancidity of the powder form of soybean because it does not require extraction to measure the rancidity.

The Thermodynamics of the Formation of Polymethylbenzene-Halogens Charge Transfer Complexes (III) (폴리메틸벤젠과 할로겐 사이의 전하이동착물 생성에 관한 열역학적 연구 (제3보))

  • Oh Cheun Kwun;Jin Burm Kyong;Jung Sung Kim
    • Journal of the Korean Chemical Society
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    • v.25 no.6
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    • pp.351-360
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    • 1981
  • Ultraviolet spectrophotometric investigations have been carried out on the system of durene with iodine, bromine, iodine monochloride and iodine monobromide in carbon tetrachloride. The results reveal the formation of the charge transfer complexes of the type, $C_6H_2(CH_3)_4{\cdot}X_2$ or $C_6H_2(CH_3)_4{\cdot}IX$(X denotes halogen atoms). The equilibrium constant were obtained in consideration of that absorption maxima due to the formation of the charge transfer complexes shift to blue with the increasing temperatures. The thermodynamic parameters, ${\Delta}H,\;{\Delta}G\;and\;{\Delta}S$ for the formation of the charge transfer complexes were calculated from these values. These results indicate that the relative stabilities of the durene complexes at each temperature decrease in the order, $ICl>IBr>I_2>Br_2$. This order may be a measure of their relative acidities toward durene, which is explained in terms of the relative polarizabilities of halogen molecules and the relative electronegativities of halogen atoms. These results combined with previous study of this series indicated that the relative stabilities of the polymethylbenzene complexes with iodine increase in the order; Benzene

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A Proposal for the Design of Augmented Reality Reading Activity Application and Class Model Based On Nuri Curriculum (누리과정을 기반으로 한 증강현실 독후활동 애플리케이션 및 수업 모형 설계 제안)

  • Seo-Young Kim;Tae-Woo Kim;Kyung-Up Lee;Yu-Bin Joe;Jung-Yi Kim
    • The Journal of the Convergence on Culture Technology
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    • v.9 no.1
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    • pp.355-360
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    • 2023
  • Recently, with the development of digital, children are exposed to a lot of media media. Reading activity decreases, making it difficult to acquire information from books or organize and remember acquired information. Since education with augmented reality increases children's participation and immersion in learning, we proposed a reading activity application with augmented reality technology to increase children's reading interest and creativity. In addition, based on the five nurturing processes, we designed a play-oriented reading activity for the application. In addition to the application suggestions, we designed a play-centered lesson model so that it can be used in actual lessons. In order to analyze the conceptual thinking framework according to the lesson model design, we visited an actual daycare center and conducted a class attended by an expert. Experts who participated were asked to fill out a pre-produced questionnaire to review the suitability of the reading activity class model and operation, and the feasibility was examined. Our lesson model design was based on limited book content, and due to ethical concerns, large-scale experiments with children could not be conducted, so the results of the study are not representative of the whole. However, it is significant that the possibility of running a new reading activity class based on the Nuri course has been examined and proposed.

Development of Hazard-Level Forecasting Model using Combined Method of Genetic Algorithm and Artificial Neural Network at Signalized Intersections (유전자 알고리즘과 신경망 이론의 결합에 의한 신호교차로 위험도 예측모형 개발에 관한 연구)

  • Kim, Joong-Hyo;Shin, Jae-Man;Park, Je-Jin;Ha, Tae-Jun
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.30 no.4D
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    • pp.351-360
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    • 2010
  • In 2010, the number of registered vehicles reached almost at 17.48 millions in Korea. This dramatic increase of vehicles influenced to increase the number of traffic accidents which is one of the serious social problems and also to soar the personal and economic losses in Korea. Through this research, an enhanced intersection hazard prediction model by combining Genetic Algorithm and Artificial Neural Network will be developed in order to obtain the important data for developing the countermeasures of traffic accidents and eventually to reduce the traffic accidents in Korea. Firstly, this research has investigated the influencing factors of road geometric features on the traffic volume of each approaching for the intersections where traffic accidents and congestions frequently take place and, a linear regression model of traffic accidents and traffic conflicts were developed by examining the relationship between traffic accidents and traffic conflicts through the statistical significance tests. Secondly, this research also developed an intersection hazard prediction model by combining Genetic Algorithm and Artificial Neural Network through applying the intersection traffic volume, the road geometric features and the specific variables of traffic conflicts. Lastly, this research found out that the developed model is better than the existed forecasting models in terms of the reliability and accuracy by comparing the actual number of traffic accidents and the predicted number of accidents from the developed model. In conclusion, it is expect that the cost/effectiveness of any traffic safety improvement projects can be maximized if this developed intersection hazard prediction model by combining Genetic Algorithm and Artificial Neural Network use practically at field in the future.

Effects of Omija (Schizandra chinensis Baillon) Concentrate on Blood Alcohol Clearance and Hepatoprotective Function in Rats Induced by Acute Ethanol Intoxication and Chronic Ethanol Treatment (오미자농축액이 급성주정중독량 및 장기간 주정을 투여한 흰쥐의 혈중 알코올 분해율과 간 기능 보호에 미치는 영향)

  • Han, Chan-Kyu;Seong, Ki-Seung;Lee, Kyung-Won;Park, Sung-Sun;Jeong, Ji-Yun;Kim, Sung-Soo
    • Journal of the Korean Society of Food Science and Nutrition
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    • v.43 no.8
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    • pp.1139-1147
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    • 2014
  • We investigated whether or not Schisandra chinensis (SC), a traditional herbal medicine, has protective effects against alcohol-induced fatty liver and blood alcohol clearance. Two tests focused on acute intoxication and chronic ethanol treatment were carried out. For the chronic ethanol treatment test, rats were fed ethanol by intragastric administration everyday for 8 weeks to induce alcoholic fatty liver. Ethanol treatment significantly increased blood alcohol concentration at 90 min after acute ethanol intoxication. Compared with the two ethanol-treated groups, rats administered ethanol along with SC extracts showed an approximately 13% increased blood alcohol clearance rate at 360 min. Chronic ethanol treatment significantly increased serum and hepatic triglyceride (TG) levels, and caused fatty degeneration of liver. Ethanol treatment also elevated the serum total-cholesterol (TC) level. However, after feeding of ethanol plus SC extracts, ethanol-induced elevation of hepatic TG levels reversed, whereas elevation of serum TG and TC levels was not observed after treatment with SC extracts. Ethanol treatment significantly increased ${\gamma}$-GT, aspartate aminotransferase, and alanine aminotransferase activities after 8 weeks. Compared with the ethanol-fed group, rats administered ethanol plus SC extracts for 4 weeks showed attenuated fatty degeneration as well as decreased hepatic function test values. SC administration also significantly increased intracellular lipid accumulation in hepatocytes and reduced steatosis score and hepatic TG levels, as measured by biochemical and histolopathological analyses. Our results indicate that the protective effects of SC are accompanied by a significant decrease in hepatic TG levels, thereby suggesting SC has the ability to prevent ethanol-induced fatty liver, by reducing hepatic TG and enzyme levels in alcoholic rats.