Research on Emotion Analysis of Chinese Literati Painting Images Based on Deep Learning

Starting from a pure-image perspective, using machine learning in emotion analysis methods to study artwork is a new cross-cutting approach in the field of literati painting and is an effective supplement to research conducted from the perspectives of aesthetics, philosophy, and history. This study constructed a literati painting emotion dataset. Five classic deep learning models were used to test the dataset and select the most suitable model, which was then improved upon for literati painting emotion analysis based on accuracy and model characteristics. The final training accuracy rate of the improved model was 54.17%. This process visualizes the salient feature areas of the picture in machine vision, analyzes the visualization results, and summarizes the connection law between the picture content of the Chinese literati painting and the emotion expressed by the painter. This study validates the possibility of combining deep learning with Chinese cultural research, provides new ideas for the combination of new technology and traditional Chinese literati painting research, and provides a better understanding of the Chinese cultural spirit and advanced factors.

Profile of Cadmium (Cd) Levels in Urine in Active Smokers

Heavy metal cadmium (Cd) is one of the environmental contaminants harmful and accumulates in the tissues of living creatures. One example of an exposed kamium can ditemukann in smokers. Cadmium contained in cigarette smoke enters through the inhalation then the cadmium is transported in blood and excreted through urine. The levels of cadmium in the body which exceeds the Value of the Threshold can cause damage to the kidneys and liver.The purpose of this study was to determine the picture content of cadmium in the urine of active smokers. Methods this study is no Study of this descriptive type of case report. The sample used comes from the 12 research subjects who are willing to be taken a sample of her urine. The inspection method used is Atomic Absorption Spectrophotometer (AAS).The results of this study are from 12 samples of active smokers in RT 01/I Sendangguwo South results obtained for cadmium content 0,000185 mg/L below Threshold Limit Values.Conclusion this study is an overview of the levels of cadmium in the urine on the whole subject of research under the Threshold Value.

Response inhibition in problematic social network sites use: an ERP study

Given the current literature debate on whether or not Problematic Social Network Sites Use (PSNSU) can be considered a behavioral addiction, the present study was designed to test whether, similarly to addictive behaviors, PSNSU is characterized by a deficit in inhibitory control in emotional and addiction-related contexts. Twenty-two problematic Facebook users and 23 nonproblematic users were recruited based on their score on the Problematic Facebook Use Scale. The event-related potentials were recorded during an emotional Go/Nogo Task, including Facebook-related, unpleasant, pleasant, and neutral pictures. The amplitudes of the Nogo-N2 and the Nogo-P3 were computed as measures of the detection of response conflict and response inhibition, respectively. Reaction times and accuracy also were measured. The results showed that problematic users were less accurate on both Go and Nogo trials than nonproblematic users, irrespective of picture content. For problematic users only, the Nogo-P3 amplitude was lower to Facebook-related, pleasant, and neutral than to unpleasant stimuli, suggesting less efficient inhibition with natural and Facebook-related rewards. Of note, all participants were slower to respond to Facebook-related and pleasant Go trials compared with unpleasant and neutral pictures. Consistently, the Nogo-N2 amplitude was larger to Facebook-related than all other picture contents in both groups. Overall, the findings suggest that PSNSU is associated with reduced inhibitory control. These results should be considered in the debate about the neural correlates of PSNSU, suggesting more similarities than differences between PSNSU and addictive behaviors.

Affective Ratings of Pictures Related to Interpersonal Situations

Many studies require standardized and replicable protocols composed of emotional stimuli. To this aim, several databases of emotional pictures are available. However, there are only few images directly depicting interpersonal violence, which is a specific emotion evocative stimulus for research on aggressive behavior or post-traumatic stress disorder. The objective of the current study is to provide a new set of standardized stimuli containing images depicting interpersonal situations (both positive and negative). This will allow a sensitive assessment of a wide range of cognitions linked to social interaction (empathy, perspective taking, traumatic experiences, etc.). To this aim, 240 participants rated the valence and arousal of 79 pictures collected from online sources in 2018. Results showed (1) a distinctive pattern of valence and arousal regarding the picture content and (2) specific associations between those two dimensions. Taken together, these results suggest a good reliability of the selected images. In conclusion, our study provides an open access set of recent pictures depicting interpersonal situations along with normative valence and arousal ratings, that are available for download from: https://osf.io/ak4m7/?view_only=None.

Marketing Improvement of Chinese Original Picture Books From Dissatisfaction Evaluation - Text Mining Based on LDA Model

Chinese original picture books play an important role in inheriting traditional culture and forming cultural identity, which is very important for children. We analyzes the dissatisfaction evaluation of Chinese original picture books by using the topic model of Latent Dirichlet Allocation (LDA). It is found that the dissatisfaction of consumers mainly focuses on smell, AR function, preaching, quality, picture, content, painting style and so on. In the future, we should take quality as the bottom line, focus on the content creation, and carry out integrated marketing through social media.

Research on a Thangka Image Classification Method Based on Support Vector Machine

As an art image, Thangka images have rich themes, various forms of expression, complex picture content and many layers of color representation. This paper mainly constructs a multi-core support vector machine (SVM) based on the information entropy feature-weighted radial basis kernel function. In this paper, the kernel function is optimized, and the feature reduction is performed by using the random forest feature selection algorithm with average accuracy degradation. Finally, the effective classification of the icon image and the mandala image in Thangka is realized. The research results provide support for the follow-up study of Thangka image annotation and retrieval.

Improving the Quality of KB Harvest by Leveraging Multimodal signals based on Event and Place

New elements are being made every day. Even though the oddity of these substances normally pulls in notices, because of absence of earlier learning, it is additionally testing to gather information about such elements than previous elements, whose KBs are extensively commented on through LBSNs and EBSNs. In this we center around learning gathering for developing spatial elements ESEs, for example, new organizations and settings, expecting we have just a rundown of ESE names. Existing systems for learning base (KB) reaping are fundamentally connected with data extraction from literary corpora. Conversely, we propose a multimodal technique for occasion discovery dependent on the reciprocal connection of picture, content, and client data between multi-source stages, specifically Flickr and Twitter. We exactly approve our collecting approaches enhance the nature of KB with advanced place and occasion learning.

A Three-Layer Visual Hash Function Using Adler-32

The visual integrity needs to be implemented in sending a picture. There is various image received have no originality. The small change of the pixels does not make the picture content detected by the eye. The integrity validation is very important to be applied. The picture captured by a camera has two dimensions. It is described in pixels such as Width and Length. This study is to validate all the pixels data or the color intensity of both dimensions. If there are a modification in the pixel, this method will give the wrong hash data. The validator will analyze the pixels in every layer such as red, green and blue to ensure the data transmitted is correct. Once there is a slight change in the pixels, the calculation gives the wrong value. It is very useful to compare the image before and after transmission.

Investigation of Eligible Picture Categories for Use as Environmental Cues in Dementia-Sensitive Environments

Objectives: Environmental cues, such as pictures, could be helpful in improving room-finding and wayfinding abilities among older patients. The aim of this study was to identify picture categories that are preferred and easily remembered by older patients and cognitively impaired patients and which therefore might be suitable for use as environmental cues in acute care settings. Methods: Twelve pictures were presented to a sample of older patients ( n = 37). The pictures represented different categories: familiarity (familiar vs. unfamiliar), type of shot (close-up vs. wide shot), and picture content (nature vs. animal vs. urban). We tested the patients’ votes of preference and abilities to identify and immediately recall pictures. Cognitively impaired patients ( n = 14) were assessed by the abbreviated mental test and the mini mental state examination and were compared with patients without cognitive impairments ( n = 23) using a repeated measures analysis of variance. Results: The results showed a main effect of familiarity on positive vote and recall of pictures. The absence of interaction effects of familiarity and group indicated an overall impact of familiarity on the sample. Within cognitively impaired patients, a significant difference in recall of picture content between urban (20%) and animal (9%) was found. Conclusions: Pictures, which patients were able to relate to in terms of familiarity and the characteristics urban and nature, seem to be suitable for use as environmental cues. Besides functioning as such, we assume, based on literature, that pictures could further enhance the ambiance or serve as prompts for communication and interaction.