According to increasing SNS users and developing smart devices like smart phone and tablet PC recently, many techniques to classify user emotions with social network information are researching briskly. The use emotion classification stands for distinguishing its emotion with text and images listed on his/her SNS. This paper suggests a method to classify user emotions through sampling a value of a representative figure on a trigonometrical function, a representative adjective on text, and a canny algorithm on images. The sampling representative adjective on text is selected as one of high frequency in the samplings and measured values of positive-negative by SentiWordNet. Figures sampled on images are selected as the representative in figures; triangle, quadrangle, and circle as well as classified user emotions by measuring pleasure-unpleased values as a type of figures and inclines. Finally, this is re-defined as x-y graph that represents pleasure-unpleased and positive-negative values with wheel of emotions by Plutchik. Also, we are anticipating for applying user-customized service through classifying user emotions on wheel of emotions by Plutchik that is redefined the representative adjectives and figures.
Funke Grace Adebawo;Olayiwola Olaleye Ajala;Olaoluwa Adeniyi Adegoke;Timileyin Samuel Aderemi
Journal of Forest and Environmental Science
/
v.39
no.1
/
pp.55-64
/
2023
Properties of a lesser-used wood species were investigated to determine its potential for structural utilization. Trees of Delonix regia were felled and sampled at the base, middle and top and then sectioned to inner wood, middle wood, and outer wood for variation across the axial and radial directions. Hence, selected physical and mechanical properties as well as natural durability of D. regia along the radial and axial directions were examined. Obtained data were analyzed using analysis of variance (ANOVA) at α0.05. There was no significant difference in the Moisture content (MC) of the wood but specific gravity (SG) decreased from base to top ranging from 0.35-0.44. Water absorption, volumetric swelling, and volumetric shrinkage range from 46.18-51.86%, 2.57-4.02%, and 2.26-3.96% respectively along the axial plane. The weight loss for graveyard exposure and accelerated laboratory decay test ranged from 25.14-48.00% and 32.02-44.45% respectively. Modulus of Rupture and Modulus of Elasticity values range from 29.42-72.68 Nmm2 and 3,834.54-8,830.37 Nmm2 respectively. The SG values has confirmed the species as a medium density wood and values of other properties tested showed that the wood is dimensional stable and moderately resistance to fungi and termite. Hence, it could be used for light construction purposes such as furniture and other interior woodwork.
We investigated the content of heavy metals contained in the soil at an Il-Kwang disused mine in Kyung Nam. Three sampling points were selected, each point was digged to 210 or 240cm, sampled each 30cm depth. After air drying, each sample was digested in aqua regia and then analyzed with an Inductively Coupled Plasma Atomic Emission Spectrometer. We determined the content of Zn, Pb, Cr, Cd, Cu, Mn, and Fe, maximum content of Pb, Cd, and Zn was observed to $(4.6{\pm}0.1){\times}10^3$, 9.4(${\pm}3.6$), and $(2.7{\pm}0.1){\times}10^2{\mu}g/g$ respectively. Mean pH values of soil sampled at No.1, 2, and 3 regions were 3.2, 2.6, and 2.8, respectively. These values are remarkably lower than pH of the conventional standard soil which usually shows pH level around 4.9. At each sampling point, maximum content of heavy metals was observed from 30cm to 60cm depth. The depth profiles of Zn, Cd, Pb, and Cr showed very similar tendencies to each other, but those of Fe, Cu. and Mn showed different tendencies to former ones.
Purpose: Although many studies on seismic fragility analysis of general bridges have been conducted using machine learning methods, studies on curved bridge structures are insignificant. Therefore, the purpose of this study is to analyze the seismic fragility of bridges with I-shaped curved girders based on the machine learning method considering the material property and geometric uncertainties. Method: Material properties and pier height were considered as uncertainty parameters. Parameters were sampled using the Latin hypercube technique and time history analysis was performed considering the seismic uncertainty. Machine learning data was created by applying artificial neural network and response surface analysis method to the original data. Finally, earthquake fragility analysis was performed using original data and learning data. Result: Parameters were sampled using the Latin hypercube technique, and a total of 160 time history analyzes were performed considering the uncertainty of the earthquake. The analysis result and the predicted value obtained through machine learning were compared, and the coefficient of determination was compared to compare the similarity between the two values. The coefficient of determination of the response surface method was 0.737, which was relatively similar to the observed value. The seismic fragility curve also showed that the predicted value through the response surface method was similar to the observed value. Conclusion: In this study, when the observed value through the finite element analysis and the predicted value through the machine learning method were compared, it was found that the response surface method predicted a result similar to the observed value. However, both machine learning methods were found to underestimate the observed values.
This study was performed in Bo-Eun Gun, Chung-Cheong Buk Do. The forest types having been classified, the each area was measured by dot-grid method. The 820 sample points having been obtained by systematic sampling method, the tree heights, crown densities, crown diameters in the points were measured on the aerial photography, and the volumes per hectare were estimated by the comparison with stereogram. Thirty eight plots, which amounted to about 4.5% of all the sample points, were sampled with double sampling method and volume were measured by the ground survey method. the results were summarized as follows; 1. There is no significant differentia between the values measure by dot-grid method and the statistical values obtained by the authority for the area. 2. There is no significant differentia between the estimated values and the measured values for the volume. And the coefficient (b) was 1.18. 3. The heights of conifer trees were easily measured more or less, but it was some difficult for the deciduous trees, because the tops of trees were not observed easily. 4. All the values had a tendencies to be overestimated in the low stocked stand and to be underestimated in the high stocked stand. 5. When the aerial volume table method by ground checking needs to be used together, the work should be performed by the experienced technician and the photgraphic volume table should be made in advanced of the work.
Lee, Young Jin;Lee, Mi Hyang;Lee, Kyeong Hak;Son, Young Mo;Seo, Jeong Ho;Park, In Hyeop;Son, Yowhan
Journal of Korean Society of Forest Science
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v.95
no.1
/
pp.50-54
/
2006
Biomass expansion factors and stem density values were commonly used in converting stand volumes into total carbon stocks for the purpose of national inventories of greenhouse gas emissions and carbon sequestration. The objective of this study was to examine the influence of stand age classes on aboveground and total biomass expansion factors, and stem density values in Chamaecyparis obtusa species. A total of 25 representative sample trees based on the three different stand age classes were destructively sampled to measure green weights and dry weights of the major four(root, stem, branch and foliage) portions of C. obtusa species grown in Jangseung-gun of southern Korea. According to the results of this study, as stand age classes increase, total biomass expansion factors tended to be decreased with the ranges from 3.64 to 1.44, while the stem density values tended to be slightly increased with the ranges from $0.35(g/cm^3)$ to $0.44(g/cm^3)$. There were statistically significant differences in biomass expansion factors and stem density values between stand age classes, but became nearly constant after 30 years old for C. obtusa species. This information could be very useful to improve a national-scaled inventory of greenhouse gas emissions and carbon sequestration for the C. obtusa species by applying different biomass expansion factors and stem density values.
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.
An in-situ probe-based spectrophotometer has been developed. This system used two spectrometers to measure soil reflectance spectra from 450 nm to 2200 nm. It collects soil electrical conductivity (EC) and insertion force measurements in addition to the optical data. Six fields in Kansas were mapped with the VIS-NIR (visible-near infrared) probe module and sampled for calibration and validation. Results showed that VIS-NIR correlated well with carbon in all six fields, with RPD (the ratio of standard deviation to root mean square error of prediction) of 1.8 or better, RMSE of 0.14 to 0.22%, and $R^2$ of 0.69 to 0.89. From the investigation of carbon variability within the soil profile and by tillage practice, the 0-5 cm depth in a no-till field contained significantly higher levels of carbon than any other locations. Using the selected calibration model with the soil NIR probe data, a soil profile map of estimated carbon was produced, and it was found that estimated carbon values are highly correlated to the lab values. The array of sensors (VIS-NIR, electrical conductivity, insertion force) used in the probe allowed estimating bulk density, and three of the six fields were satisfactory. The VIS-NIR probe also showed the obtained spectra data were well correlated with nitrogen for all fields with RPD scores of 1.84 or better and coefficient of determination ($R^2$) of 0.7 or higher.
In the present study, nutritional status of some minerals in sheep grazed on native pasture was investigated in dry area, Ningxia district, of the People's Republic of China. Samples of some forages and blood of sheep were collected for two seasons, dry (March) and rainy (August) seasons. The Ca contents of forages (wheat straw, green-pea straw and some wild grasses) were relatively high as compared with that required ordinarily as standard, but on the contrary, the P content was much lower than that of standard. Consequently, Ca/P ratio was very high in cost of the roughages sampled in the region. Trace elements, Cu and Zn, content of forage samples were fairly low, and the contents of Mo and Fe were fairly high, particularly in some wild grasses, when the values were compared with that required normally. The Ca level in blood of sheep was in a range accepted as normal, and the other macro minerals(Mg and P) were contained at relatively high levels as compared with the values observed ordinarily, but not at a toxic level. With trace minerals, the plasma Fe level was extremely high as compared with the standard level, although there were no disorders due to toxicity, and Mo level in plasma was a little lower than the lower limit described as a normal. The plasma levels of other trace elements (Cu, Zn and Se) in all the animals were within the range accepted as normal. There would be no clear differences in mineral nutrition of sheep between dry and rainy seasons. These results could suggest that there is no severe unbalance and/or imbalance, and grazing sheep in the Ningxia area of midland China have no problems relating to the nutritional status of minerals.
Dispersion pattern of the citrus red mite (CRM), Panonychus citri (McGregor) was determined to develop a monitoring method in the satsuma mandarin fields, Citrus unshiu L., in Jeju-do, during 1999 and 2000. CRM population was sampled by collecting leaves. Taylor's power law provided better description of mean-variance relationship for the dispersion indices compared to Iwao's patchiness regression. Slopes and intercepts of Taylor's power law from leaf samples did not differ among surveyed groves. Fixed-precision levels (D) of a sequential sampling plan were developed using Taylor's power law parameters generated from all motile stages of CRM in leaf sample. This sampling plan for leaf sample estimate was tested with resampling validation for sampling plan using 4 independent data sets. Resampling simulation analysis demonstrated that actual fixed-precision level values were better than desired D values of 0.20, 0.25 and 0.30. Required numbers for tree sampling at the density of more than 7 mites per tree were fewer than 18.
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