• 제목/요약/키워드: Mean Importance Values

검색결과 138건 처리시간 0.029초

정보제공이 입원환자 불안해소에 미치는 효과 (Effect of Informativeness on the Anxiety of Hospitalized Patients)

  • 박정옥
    • 대한간호학회지
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    • 제5권2호
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    • pp.1-10
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    • 1975
  • Every patient, who enters the hospital has a potential for becoming anxious. The control of hospitalization anxiety experienced by hospital patients is considered to be an important factor in the process of recovery from illness. This study was conducted to investigate the relationship between informativeness and hospitalization anxiety in order to give basic data for psycho-social aspect of nursing care for hospitalized patients. One hundred patients admitted to Kyungpook National University Hospital during the period of Jan. to June 1975 were sampled and divided into two groups; fifty of experimental and fifty of control group. The set of informations prepared by the investigator were given additionally to experimental group while the control group only received routine informations. Both groups were rated according to the Hospitalization Informativeness Scale which consisted of 24 questionaries and 4 categories and Hospitalization Anxiety Scale one or two days prior to discharge from the hospital. The results of the study were as follows; 1 . Mean values of Hospitalization Informativeness Scale revealed significant differences at 0.01 level with experimental group showing higher mean value. Age, sex ana educational states aid not influence the mean values of Hospitalization Informativeness Scale in both groups. 2 . The length of hospitalization did not influence significantly on the mean value of Hospitalization Informativeness Scale in both groups. 3. Rank difference correlation coefficiently between mean value of Hospitalization Informativeness Scale and the importance of information the patient's perceived were revealed significant at 0.01 level in all 4 categories such as admission discharge, treatment and nursing activities, diagnostic test, diagnosis and prognosis, health teaching for the patient and family in experimental group. While, only two categories such as treatment and nursing activities and health teaching for the patient and family in control group were revealed significant correlation. 4. Mean value of Hospitalization Anxiety Scale revealed significant difference at 0.05 level with the experimental group showing lower Hospitalization Anxiety Scale. 5. Correlation coefficiently between Hospitalization Informativeness Scale and Hospitalization Anxiety Scale were revealed significant at 0.01 level in experimental group but there was no significant correlation in control group.

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부상기술 예측을 위한 특허키워드정보분석에 관한 연구 - GHG 기술 중심으로 (Patent Keyword Analysis for Forecasting Emerging Technology : GHG Technology)

  • 최도한;김갑조;박상성;장동식
    • 디지털산업정보학회논문지
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    • 제9권2호
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    • pp.139-149
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    • 2013
  • As the importance of technology forecasting while countries and companies manage the R&D project is growing bigger, the methodology of technology forecasting has been diversified. One of the forecasting method is patent analysis. This research proposes quick forecasting process of emerging technology based on keyword approach using text mining. The forecasting process is following: First, the term-document matrix is extracted from patent documents by using text mining. Second, emerging technology keyword are extracted by analyzing the importance of word from utilizing mean values and standard deviation values of the term and the emerging trend of word discovered from time series information of the term. Next, association between terms is measured by using cosine similarity. finally, the keyword of emerging technology is selected in consequence of the synthesized result and we forecast the emerging technology according to the results. The technology forecasting process described in this paper can be applied to developing computerized technology forecasting system integrated with various results of other patent analysis for decision maker of company and country.

생태적 특성을 고려한 도시환경림 조성기법연구( I ) -서울시 개포 근린공원을 중심으로- (A Study on the Plannig Methods of Urban Environmental Forest for Considering Ecological Characteristics( I )-In the case of Gaepo neighborhood Park in the Seoul City-)

  • 이경재
    • 한국조경학회지
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    • 제23권3호
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    • pp.48-58
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    • 1995
  • This study was conducted to investigate the plant community and to propose ecological planning methods for urban environmental forest on Gaepo neighborhood park, Gangnamgu in Seoul. Thirty-six plots that the size of each plot was 10$\times$10m(100\ulcorner) were set up and the vegetation analysis was carried out. Field survey was executed Apirl, 1994. The actual vegetation was consisted of Poplulus$\times$albaglandulosa community(73.03%), Robinia pseudoacacia community(8.30%) P. $\times$ albaglandulosa-R.pseudoacacia community(1.81%) and environmental forest (15.22%) in the survey site. According to mean importance values of each plot, survey area were divided into ten forest communities. As for the analysis of plant community structure which was classified into ten forest communities, the importance values, ecological diversity, number of species, number of individuals, basal area and crown coverage of urban environmental forest were relatively lower than those of the native community. In urban environmental forest of Gaepo neighborhood park, it showed problems for the planting method. So urban environmental forest should be constructed considering ecological characteristics based on above results.

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Comparison of Composite Methods of Satellite Chlorophyll-a Concentration Data in the East Sea

  • Park, Kyung-Ae;Park, Ji-Eun;Lee, Min-Sun;Kang, Chang-Keun
    • 대한원격탐사학회지
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    • 제28권6호
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    • pp.635-651
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    • 2012
  • To produce a level-3 monthly composite image from daily level-2 Sea-viewing Wide Field-of-view Sensor (SeaWiFS) chlorophyll-a concentration data set in the East Sea, we applied four average methods such as the simple average method, the geometric mean method, the maximum likelihood average method, and the weighted averaging method. Prior to performing each averaging method, we classified all pixels into normal pixels and abnormal speckles with anomalously high chlorophyll-a concentrations to eliminate speckles from the following procedure for composite methods. As a result, all composite maps did not contain the erratic effect of speckles. The geometric mean method tended to underestimate chlorophyll-a concentration values all the time as compared with other methods. The weighted averaging method was quite similar to the simple average method, however, it had a tendency to be overestimated at high-value range of chlorophyll-a concentration. Maximum likelihood method was almost similar to the simple average method by demonstrating small variance and high correlation (r=0.9962) of the differences between the two. However, it still had the disadvantage that it was very sensitive in the presence of speckles within a bin. The geometric mean was most significantly deviated from the remaining methods regardless of the magnitude of chlorophyll-a concentration values. Its bias error tended to be large when the standard deviation within a bin increased with less uniformity. It was more biased when data uniformity became small. All the methods exhibited large errors as chlorophyll-a concentration values dominantly scatter in terms of time and space. This study emphasizes the importance of the speckle removal process and proper selection of average methods to reduce composite errors for diverse scientific applications of satellite-derived chlorophyll-a concentration data.

Quantitative assessment of offshore wind speed variability using fractal analysis

  • Shu, Z.R.;Chan, P.W.;Li, Q.S.;He, Y.C.;Yan, B.W.
    • Wind and Structures
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    • 제31권4호
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    • pp.363-371
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    • 2020
  • Proper understanding of offshore wind speed variability is of essential importance in practice, which provides useful information to a wide range of coastal and marine activities. In this paper, long-term wind speed data recorded at various offshore stations are analyzed in the framework of fractal dimension analysis. Fractal analysis is a well-established data analysis tool, which is particularly suitable to determine the complexity in time series from a quantitative point of view. The fractal dimension is estimated using the conventional box-counting method. The results suggest that the wind speed data are generally fractals, which are likely to exhibit a persistent nature. The mean fractal dimension varies from 1.31 at an offshore weather station to 1.43 at an urban station, which is mainly associated with surface roughness condition. Monthly variability of fractal dimension at offshore stations is well-defined, which often possess larger values during hotter months and lower values during winter. This is partly attributed to the effect of thermal instability. In addition, with an increase in measurement interval, the mean and minimum fractal dimension decrease, whereas the maximum and coefficient of variation increase in parallel.

Image Semantic Segmentation Using Improved ENet Network

  • Dong, Chaoxian
    • Journal of Information Processing Systems
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    • 제17권5호
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    • pp.892-904
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    • 2021
  • An image semantic segmentation model is proposed based on improved ENet network in order to achieve the low accuracy of image semantic segmentation in complex environment. Firstly, this paper performs pruning and convolution optimization operations on the ENet network. That is, the network structure is reasonably adjusted for better results in image segmentation by reducing the convolution operation in the decoder and proposing the bottleneck convolution structure. Squeeze-and-excitation (SE) module is then integrated into the optimized ENet network. Small-scale targets see improvement in segmentation accuracy via automatic learning of the importance of each feature channel. Finally, the experiment was verified on the public dataset. This method outperforms the existing comparison methods in mean pixel accuracy (MPA) and mean intersection over union (MIOU) values. And in a short running time, the accuracy of the segmentation and the efficiency of the operation are guaranteed.

A STUDY OF THE RIGHT LOCAL GENERAL TRUNCATED M-FRACTIONAL DERIVATIVE

  • Chauhan, Rajendrakumar B.;Chudasama, Meera H.
    • 대한수학회논문집
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    • 제37권2호
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    • pp.503-520
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    • 2022
  • We introduce a new type of fractional derivative, which we call as the right local general truncated M-fractional derivative for α-differentiable functions that generalizes the fractional derivative type introduced by Anastassiou. This newly defined operator generalizes the standard properties and results of the integer order calculus viz. the Rolle's theorem, the mean value theorem and its extension, inverse property, the fundamental theorem of calculus and the theorem of integration by parts. Then we represent a relation of the newly defined fractional derivative with known fractional derivative and in context with this derivative a physical problem, Kirchoff's voltage law, is generalized. Also, the importance of this newly defined operator with respect to the flexibility in the parametric values is described via the comparison of the solutions in the graphs using MATLAB software.

Anti-Platelet Drug Resistance in the Prediction of Thromboembolic Complications after Neurointervention

  • Ryu, Dal-Sung;Hong, Chang-Ki;Sim, Yoo-Sik;Kim, Chang-Hyun;Jung, Jin-Young;Joo, Jin-Yang
    • Journal of Korean Neurosurgical Society
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    • 제48권4호
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    • pp.319-324
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    • 2010
  • Objective : The aim of this study was to analyze the correlation between thromboembolic complications and anti platelet drugs before and after neurointervention. Methods : Blood samples and radiographic data of patients who received a neurointervention (coil embolization, stent placement or both) were collected prospectively. Rapid platelet function assay-aspirin (RPFA-ASA) was used to calculate aspirin resistance in aspirin reaction units (ARU). For clopidogrel resistance, a P2Y12 assay was used to analyze the percentage of platelet inhibition. ARU > 550 and platelet inhibition < 40% were defined as aspirin and clopidogrel resistance, respectively. Results : Both aspirin and clopidogrel oral pills were administered in fifty-three patients before and after neurointerventional procedures. The mean resistance values of all patients were 484 ARU and < 39%. Ten (17.0%) of 53 patients showed resistance to aspirin with an average of 597 ARU, and 33 (62.3%) of 53 patients showed resistance to clopidogrel with an average of < 26%. Ten patients demonstrated resistance to both drugs, 5 of which suffered a thromboembolic complication after neurointervention (mean values : 640 ARU and platelet inhibition < 23%). Diabetic patients and patients with hypercholesterolemia displayed mean aspirin resistances of 513.7 and 501.8 ARU, and mean clopidogrel resistances of < 33.8% and < 40.7%, respectively. Conclusion : Identifying individuals with poor platelet inhibition using standard regimens is of great clinical importance and may help prevent cerebral ischemic events in the future. Neurointerventional research should focus on ideal doses, timing, choices, safety, and reliable measurements of anti platelet drug therapy, as well as confirming the clinical relevance of aggregometry in cerebrovascular patients.

표준기상데이터의 일사량 데이터 비교 분석 (Comparative analysis of the global solar horizontal irradiation in typical meteorological data)

  • 유호천;이관호;강현구
    • 한국태양에너지학회 논문집
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    • 제29권6호
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    • pp.102-109
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    • 2009
  • The research on meteorological data in Korea has been carried out but without much consistency and has been limited to some areas only. Of relatively more importance has been the area in the utilization of the solar energy, however, the measurement of the global solar horizontal irradiation has been quite limited. In the current study, the actually measured value of the global solar horizontal irradiation from the meteorological data and the theoretically calculated value of the global solar horizontal irradiation from the cloud amount will be analyzed comparatively. The method of analysis will employ the standard meteorological data drafted by the Korean Solar Energy Society, the standard meteorological data from the presently used simulation program and the corresponding results have been compared with the calculated value of the global solar horizontal irradiation from the cloud amount. The results of comparing the values obtained from MBE(Mean Bias Error), RMSE(Root Mean Squares for Error), t-Statistic methods and those from each of the standard meteorological data show that the actually measured value of the meteorological data which have been converted into standard meteorological data with the help of the ISO TRY method give the monthly average value of the global solar horizontal irradiation. These values compared with the monthly average value from the IWEC from the Department of Energy of the USA show that the value of the global solar horizontal irradiation in the USA is quite similar. In the case of the values obtained from calculation from the cloud amount, the weather data provided by TRNSYS, except only slight difference, which means that the actually measured values of the global solar horizontal irradiation are significant. This goes to show that in the case of Korea, the value of the global solar horizontal irradiation provided by the Korea Meteorological Administration is will be deemed correct.

미국 Washington주 Burley Lagoon에 있어서의 참굴, Crassostrea gigas과 그 서식수역에 대한 위생학적 연구 (A STUDY ON THE SANITARY QUALITY OF PACIFIC OYSTERS, CRASSOSTREA GIGAS AND GROWING WATERS IN BURLEY LAGOON, WASHINGTON)

  • 김성준
    • 한국수산과학회지
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    • 제7권2호
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    • pp.41-51
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    • 1974
  • 참굴(Crassostrea gigas) 수하식양식에 있어 상층과 저층 그리고 조석에 따른 해수 및 굴의 위생학적 성상에 관한 변화를 조사하였으며 본 연구는 미국국제연맹처(AID) 연수계획에 의하여 Washington주 Burley Lagoon 뗏목 수하식 양식장에 대하여 실시되었다. 해수의 수온, 염분 및 탁도는 저층이 상층보다 다소 높았고 그 차이는 수온 $0.3^{\circ}C$, 염분 $0.5\%_{\circ}$, 탁도 0.1 JTU 있다. 조석에 따를 수온 및 염분의 변화는 대체로 조석 주기에 일치하는 기복상을 보였다. 해수의 위생지표미생물 함양은 상층이 저층보다 대체로 높았고 일반적으로 Coliform MPN 및 Fecal coliform MPN의 변화는 조고에 역비례하고 있어 이들 미생물군의 출처는 이 해역으로 유입하는 하천임을 알 수 있다. $35^{\circ}C$ Plate count는 조석 변동에 대하며 보다 안정하였다. 굴에 있어 Coliform 및 Fecal coliform MPN의 평균치는 상층굴이 저층보다 일반적으로 높은 값을 시현하였으나 $35^{\circ}C$ Plate count는 이와 같은 경향을 나타내지 않았다. 해수에서와 같이 굴에 있어서도 Coliform 및 Fecal coliform MPN의 평균치는 양자 모두 호고에 역상관관계를 나타내었고 조사기관중 굴의 세균축적비는 Coliform MPN은 $8.6\~19.7$, Fecal coliform MPN은 $16.9\~44.3$이였다. 이상의 결과로서 굴수하식 양식에 있어 패류위생관리상 중요한 것은 창호시에 굴을 채취하는 것이 미생 지표 세균의 함량이 보다 낮다는 것을 들 수 있다.

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