In this paper, we developed a workload index for monitoring the durability test using operation information of an excavator. First, the acceleration and cylinder pressure were selected as load factors by analyzing operation data. Through load correlation analysis according to each load factor, Root Mean Square (RMS) and Work Load Range (WLR) were respectively derived as a load feature representing mechanical load. In addition, the workload index was used to quantify load features. For applying the workload index to monitoring, a real-time monitoring system consisting of sensors and embedded controller was installed on the excavator and the system was integrated with a remote monitoring environment using a wireless network. Results of load monitoring and analysis verified that the developed workload index was effective from the viewpoint of the relative comparison of the workload.
Objective: To explore the sensitivity of gastric cancer cells to chemotherapy drugs in elderly patients and its correlation with cyclooxygenase-2 (COX-2) expression in cancer tissue. Materials and Methods: Forty-three elderly patients with gastric cancer (observation group) and 31 young patients with gastrointestinal tumors (control group) who were all diagnosed by pathology and underwent surgery in the 89th Hospital of Chinese People's Liberation Army were selected. Drug sensitivity testing of tumor cells in primary culture was carried out in both groups using a methyl thiazolyl tetrazolium (MTT) method, and the expression of COX-2 and the factors related to multi-drug resistance (MDR) in cancer tissue were assessed by immunohistochemistry. Results: The inhibition rates (IR) of vincristine (VCR), 5-fluorouracil (5-FU), oxaliplatin (L-OHP), mitomycin (MMC) and epirubicin (eADM) on tumor cells in the observation group were dramatically lower than in the control group, with statistical significance (P<0.05 or P<0.01). The positive rates of COX-2, glutathione s-transferase-${\pi}$ (GST-${\pi}$) and P glycoprotein (P-gp) expression in cancer tissue in the observation group were all higher than in control group (P<0.05), while that of DNA topoisomerase $II{\alpha}$ ($TopoII{\alpha}$) expression lower than in the control group (P<0.01). In the observation group, COX-2 expression in cancer tissue had a significantly-positive correlation with GST-${\pi}$ and P-gp (r=0.855, P=0.000; r=0.240, P=0.026), but a negative correlation with $TopoII{\alpha}$ (r=-0.328, P=0.002). In the control group, COX-2 expression in cancer tissue was only correlated with P-gp positively (r=0.320, P=0.011). Bivariate correlation analysis displayed that COX-2 expression in cancer tissue in the observation group had a significantly-negative correlation with the IRs of 5-FU, L-OHP, paclitaxel (PTX) and eADM in tumor cells (r=-0.723, P=0.000; r=-0.570, P=0.000; r=-0.919, P=0.000; r=-0.781, P=0.000), but with hydroxycamptothecine (HCPT), VCR and 5-FU in the control group (r=-0.915, P=0.000; r=-0.890, P=0.000; r=-0.949, P=0.000). Conclusions: Gastric cancer cells in elderly patients feature stronger MDR, which may be related to high COX-2 expression.
In the era of SNS, many people relies on it to express their emotions about various kinds of products and services. Therefore, for the companies eagerly seeking to investigate how their products and services are perceived in the market, emotion mining tasks using dataset from SNSs become important much more than ever. Basically, emotion mining is a branch of sentiment analysis which is based on BOW (bag-of-words) and TF-IDF. However, there are few studies on the emotion mining which adopt feature selection (FS) methods to look for optimal set of features ensuring better results. In this sense, this study aims to propose FS methods to conduct emotion mining tasks more effectively with better outcomes. This study uses Twitter and SemEval2007 dataset for the sake of emotion mining experiments. We applied three FS methods such as CFS (Correlation based FS), IG (Information Gain), and ReliefF. Emotion mining results were obtained from applying the selected features to nine classifiers. When applying DT (decision tree) to Tweet dataset, accuracy increases with CFS, IG, and ReliefF methods. When applying LR (logistic regression) to SemEval2007 dataset, accuracy increases with ReliefF method.
The Journal of Korean Institute of Communications and Information Sciences
/
v.17
no.9
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pp.993-1000
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1992
Recently, many researchers have found that the speaker recognition rate is high when they perform the speaker recognition using statistical processing method of orthogonal parameter, which are derived from the analysis of speech signal and contain much of the speaker's identity. This method, however, has problems caused by vocalization speed or time varying feature of speed. Thus, to solve these problems, this paper proposes two methods of speaker recognition which combine DTW algorithm with the method using orthogonal parameters extracted from $Karthumem-Lo\'{e}ve$ Transform method which applies orthogonal parameters as feature vector to ETW algorithm and the other is the method which applies orthogonal parameters to the optimal path. In addition, we compare speaker recognition rate obtained from the proposed two method with that from the conventional method of statistical process of orthogonal parameters. Orthogonal parameters used in this paper are derived from both linear prediction coefficients and partial correlation coefficients of speech signal.
The study investigated the users' functional requirement, degree of acceptance and preference of game broadcast real-time review .Secondly it comparatively analyzed the types and locations of game broadcast real-time review through eye tracking tech. The results show that users have high functional requirements and high acceptance for game broadcast real-time review but their preference has no significant correlation with the feature. Among the types of game broadcast real-time review the type with translucent text bubble took the highest visual attention. The above shows that the users' visual behavior has the tendency of special style. The visual attention analysis results of different types and locations of game broadcast real-time review in the study can play a guiding role in the interface design of real-time review feature in the future.
Current global textiles and fashion industries have gradually shifted focus to high value-added, high sensibility, and multi-functional products based on new human-friendliness and sustainable growth technologies. Textile design CAD systems have been developed in conjunction with computer hardware and software sector advances. This study compares the patterns or images of actual woven fabrics and virtual fabrics prepared with a textile design CAD system. In this study, several weave structures (such as fancy yarn weave and patterns) were prepared with a shuttle loom. The woven textile images were taken using a CCD camera. The same weave structure data and yarn data were fed into a textile design CAD system in order to simulate fabric images as similarly as possible. Similarity Index analysis methods allowed for an analysis of the index between the actual fabric specimen and the simulated image of the corresponding fabric. The results showed that repeated small pattern weaves provide superior similarity index values than those of a fancy yarn weave that indicate some irregularities due to fancy yarn attributes. A Complex Wavelet Structural Similarity(CW-SSIM) index resulted in a better index than other methods such as Multi-Scale(MS) SSIM, and Feature Similarity(FS) SSIM, across fabric specimen images. A correlation analysis of the similarity index based on an image analysis and a similarity evaluation by panel members was also implemented.
This study attempted to investigate the characteristics of beauty influencers' social media contents and examine their influence on color cosmetics purchase intention. For this, female millennials who have shown an interest or subscribed beauty contents on social media platforms as followers were selected by convenience sampling. In terms of a research method, a self-administered questionnaire was performed from September 19 to 30, 2022. Among a total of 220 questionnaires distributed, 200 copies excluding poorly answered ones were used for final analysis. The collected data were analyzed by frequency analysis, descriptive statistics, factor analysis, reliability analysis, correlation analysis and multiple regression analysis, using SPSS 24.0, and the results found the followings: First, concerning characteristics of beauty influencers' beauty contents, five factors were derived: reliability, professionalism, social attractiveness, attractive appearance, sympathy In purchase intention, on the contrary, two factors were obtained: base makeup, point makeup. Second, regarding the effects of characteristics of beauty contents on color cosmetics purchase intention, 'professionalism (β = -.170 p = .015)' and 'physical attractiveness (β = -.148, p = .037)' revealed a negative influence with statistical significance. Through the result, by demonstrating the effect on the intention to purchase color cosmetics based on the beauty contents feature of the beauty influencer, it is considered that the purchasing power of the color cosmetics industry will continue to increase and help to suggest more effective color cosmetics promotion ways and indicators which companies can utilize.
Objectives: This study was conducted to know dental service and fear after research on reliability on dentists and satisfaction on dental hygienists. Methods: This study was conducted by the 325 persons who had the experience of visiting dental medical institution. Statistical analysis was conducted using the SPSS 12.0 with T-test, ANOVA and correlation. The obtained results were as follows: Results: 1. Internal consistency of Dental Beliefs Survey(DBS) and dental hygienists satisfaction questionnaire factors were 0.758~0.908(Cronbach' alpha). And the Cronbach' alpha's coefficients of the all subscales were more than 0.6. So high reliability and validity were identified. 2. As result of analysing fear from general feature, the men feel more fear than women and more fear was felt in the case of having worse teeth status. Fear was higher in case of visiting to dental clinic than in case of visiting dental clinic for precaution. And that was statistically related. 3. Dental fear was higher in the case of having the past pain experience, insufficient anesthesia experience, experience of seeing other persons pain and this was statistically related(P<0.01)(P<0.05). 4. Average of reliability on dentists was 37.9, person who has high reliability was 81.8%, person who has low reliability was 18.2%, average of satisfaction on dental hygienists was 31.5%(Satisfaction on dental hygienists was 51.1% and dissatisfaction on dental hygienists was 48.9%). 5. Higher dentists reliability and satisfaction on dental hygienists has lower fear considering general feature and dental clinic use behavior but person who has the dental clinic to go regularly has higher dentists reliability and satisfaction on dental hygienists where, however, fear was not low. 6. As result of analyzing correlation between dental service and dental clinic use behavior, satisfaction on dental hygienists was negatively related to reliability on dentists and fear. And, reliability on dentists was positively related to fear, pain experience in dental clinic, incomplete anesthesia experience, near person pain experience(experience on seeing person in pain), which were statistically related(p<0.01). Conclusions: In relation to general features and reliability on dentists and satisfaction on dental hygienists caused by dental clinic use behavior, dental fear was decreased when reliability and satisfaction are higher. Group with low dental fear had higher reliability on dentists and satisfaction on dental hygienists than group with high dental fear but only reliability on dentists was statistically related(p<0.05).
The Journal of Korean Institute of Communications and Information Sciences
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v.36
no.2B
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pp.168-175
/
2011
In modem society, human relationships has been received much attention as important element to judge the success as well as the social life of the individual. To respond to these changing times has been used various ways to maintain an appropriate relationship that each other's character can be predicted. In this paper, we should be carried out a study on correlation analysis and features of five-character types to extract shape of philtrum, mouth, ears in facial image of Men in the 20's for Interview system application. From this, we extracted to area of philtrum, mouth, ears by Visual C++ to face and side image. Then we performed analysis, comparison a group of S-character types to find a result according to philtrum rate, mouth size, shape of ears. As a result, we drew a significance through morphological results by philtrum rate, mouth size, shape of ears as five-character types.
This study was conducted to characterize the discharge feature of pollutant load from the upper and lower watershed influencing on the water quality of South Han River using the empirical equation and Factor Analysis. The results of regression analysis between flow rate and pollutant load were as follows. In the streams of the upper watershed of South Han river, $BOD_5$ and $COD_{Mn}$ were increased as the flow rate was increased. Also, steep increases in SS and TP were observed with positive correlation with the flow rate while change in TN was slightly shown. On the other hand, in the streams of the lower watershed of South Han river, $BOD_5$ was negatively correlated with the flow rate, being decreased with the increase in the flow rate. However, changes in $COD_{Mn}$, TN, SS, and TP showed a similar trend with those observed in the upper watershed. With Factor Analysis of the water quality and various components, it was appeared that the flow rate, SS, and TP were significantly correlated each other and they were indicated as the principal component influencing on water quality in the streams of the upper watershed. In contrast, $BOD_5$, $COD_{Mn}$ and TOC were significantly correlated each other and they were included as the principal pollution component of the streams in the lower watershed. From these results, it was conclusive that the upper watershed of South Han River was mainly affected by non point source pollutants while the lower watershed was influenced by point source pollutants from the developed areas.
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