Style Transformation Research Articles

The Analysis of Organizational Culture for Improving Corporate Performance at PT. XYZ Discreet

PT. XYZ Discreet is a subsidiary of a State-Owned Enterprise (BUMN) in the manufacturing sector which was founded in 1983. PT. XYZ Discreet contributes to defense & security needs and various industrial products that help in other fields such as transportation and commercial explosives. Organizational culture is essential in determining the success of achieving company goals. Therefore, every company must know what type of culture they are running and what kind of culture is preferred at PT. XYZ Discreet has yet to assess the current and preferred corporate culture. As is well known, BUMN companies and subsidiaries have a new corporate culture, BUMN AKHLAK. Based on an assessment conducted by ACT Consulting, the value of implementing AKHLAK BUMN at PT. XYZ Discreet is not maximized or gets a C value (37.7). The purpose of this study is to provide recommendations for the preferred corporate culture based on survey results. The research methodology used is quantitative data by distributing questionnaires using the Organizational Culture Assessment Instrument (OCAI) to employees of PT. XYZ Discrete. The survey results show that at PT. XYZ Discreet has a current culture Hierarchy culture, but the survey results also state that employees prefer Clan culture as their corporate culture. In other words, they support the culture with kinship, openness, loyalty, mutual trust, and agreement in every activity. From the results of research that has been done at PT. XYZ Discreet, this cultural transformation can be assisted by a bottom-up approach; leaders should have more understanding of employees, the transformation of leadership style, and forming the agent of change for corporate culture. These things aim to improve internal capabilities at PT. XYZ Discreet.

The Transformation of Boris Dekhterev's Artistic Style in His Illustrations for Maxim Gorky

The Transformation of Boris Dekhterev's Artistic Style in His Illustrations for Maxim Gorky

Implementation of total quality management (TQM) in malaysian industrialized building system (IBS) projects

Total Quality Management could be defined as a transformation in management style aimed at constantly increasing customer satisfaction via the design and improvement of organizational systems and processes. It is critical to use an industrialized building system to increase project successful implementation. Awareness of TQM advantages and its application could greatly improve project efficiency and performance. A literature search on TQM was done to determine the TQM implementation present state and level of awareness in IBS construction projects. The purpose of this study is to identify the current TQM implementation status in IBS projects and determine its level of awareness and potential benefits from the Malaysian construction stakeholders’ perception. A mixed approach was applied in this research with the participation of consultants, contractors, clients, and academicians from various construction industry public and private sectors in Malaysia. The questionnaire survey was used to conduct the study. A total of 371 questionnaires were collected, for a sample size of 265. The findings indicated that most construction organizations are unaware of the TQM approach. The Cronbach's Alpha coefficient achieved from the study was (0.934), indicating that the questionnaire was reliable. The statistical analysis revealed that increased efficiency, improved customer satisfaction, enhanced teamwork, increased profitability, and improved safety are the most essential TQM benefits that concerned the participants. Furthermore, the results of this study provide IBS construction practitioners with significant awareness of the components that empower TQM implementation in the construction sector. This study contributes to the understanding of TQM and project performance by demonstrating their capacity to enhance the Malaysian construction sector. Additionally, it was found that the Malaysian construction industry has not achieved a high level of quality implementation programs.

The Musical Culture of the Russian Province in the Mirror of Prerevolutionary Periodicals

From the positions of systemic analysis, the author of the article determines the role of periodical press as an important source of research of the musical culture of the prerevolutionary Russian province. Against the background of the development of humanitarian knowledge, the studies of the musical provinces actualize the issue of the base of its scholarly field related to source studies. Particularly periodical press contains the basic information about the musical life of the prerevolutionary period of Russian history in all of its diversity. The periodical publications — from the capital cities and the periphery, the general and the specialized varieties — are specified on the basis of an elaborated classification. Emphasis is given to various printed material, different in its indication of genre, devoted to musical life in various cities of the Russian Empire — analytic sketches, survey correspondence, articles on music history, and informational-advertising production. The question is broached of the genre-related and stylistic transformation of musical journalism from descriptive overviews to articles of a problem-based culturological character. The participation of the activists of musical culture from a number of Russian cities in the formation of the areal tradition of musical criticism, the intensification of artistic connections between the provinces and the two Russian capital cities, the evolution of musical life in different cities (for example, in Odessa, Tiflis, Kharkov, etc.) — all of these are disclosed in the article. The musical periodical press of various provincial regions of Russia, represented by materials that are diverse in their genre and territorial affiliation, which has undergone a significant transformation of its content during the course of the entire 19th and the early 20th century, has made a significant contribution to the formation and the development of Russian music criticism and Russian musical culture in general.

Hierarchical Multi-Label Attribute Classification With Graph Convolutional Networks on Anime Illustration

In this study, we present a hierarchical multi-modal multi-label attribute classification model for anime illustrations using graph convolutional networks (GCNs). The focus of this study is multi-label attribute classification, as creators of anime illustrations frequently and deliberately emphasize subtle features of characters and objects. To analyze the connections between attributes, we develop a multi-modal GCN-based model that can use semantic features of anime illustrations. To create features representing the semantic information of anime illustrations, we construct a novel captioning framework by combining real-world images with their animated style transformations. In addition, because the attributes of anime illustrations are hierarchical, we introduce a loss function that considers the hierarchy of attributes to improve classification accuracy. The proposed method has two main contributions: 1) By introducing a GCN with semantic features into the multi-label attribute classification task of anime illustrations, we capture more comprehensive relationships between attributes. 2) By following certain rules to build a hierarchical structure of attributes that appear frequently in anime illustrations, we further capture subordinate relationships between attributes. In addition, we demonstrate the effectiveness of the proposed method by experiments.

Neural style transfer between observed and simulated cloud images to improve the detection performance of tropical cyclone precursors

Abstract A common observation in the field of pattern recognition for atmospheric phenomena using supervised machine learning is that recognition performance decreases for events with few observed cases, such as extreme weather events. Here, we aimed to mitigate this issue by using numerical simulation and satellite observational data for training. However, as simulation and observational data possess distinct characteristics, we employed neural style transformation learning to transform the simulation data to more closely resemble the observational data. The resulting transformed cloud images of the simulation data were found to possess physical features comparable to those of the observational data. By utilizing the transformed data for training, we successfully improved the classification performance of cloud images of tropical cyclone precursors 7, 5, and 3 days before their formation by 40.5, 90.3, and 41.3%, respectively.

Trend Investigation of Hairstyles Using Big Data Analysis Before and After of COVID-19: Focusing on Text Mining and Semantic Network Analysis

Recently, hairstyle trends have changed drastically in relation to K-beauty. Therefore, this study performed an atypical big day analysis to analyze hairstyle trends before and after COVID-19. Next, Naver and Google collected a total of 65,776 keywords using Textom, a text data analysis program, from the last four years (two years from January 2018 to December 2019 before COVID-19 and two years from January 2020 to December 2021 after COVID-19). And by refining unnecessary words for text mining, 50 key keywords were derived each before and after COVID-19 and used for empirical analysis. In the top 50 keywords, it was found that hair, perm style, men, women, cuts, and short hair were the main keywords. In the semantic network analysis using UCINET 6.0 and Netdraw, it was confirmed that keywords such as hair, perm style, male and female, change, and cut are highly connected with other keywords. Finally, as a result of CONCOR analysis, before COVID-19, it was divided into four clusters: styling, cut style, promotion, and style transformation, and after COVID-19, it was divided into three clusters: style transformation, promotion, and styling. These analysis results confirm trends related to hairstyles, key components and promotional channels for hairstyle fields.

Development of Competency-Based Instruction in the Challenging Era: A Case Study of French for Airline Ground Services

In this decade, the world faces to several challenges such as economic volatility and transformation of work styles and lifestyle changed at the moment. It is undeniable that the travel by plane is in high demand before and after Covid-19. The airport ground services need competent personnel. The teaching of French at the university does not neglect these situations. French Program of Khon Kaen University created the French for Airline Ground Service course in 2011. Nowadays, this course opens its doors to accommodate 80 percent of the 3rd year of French major. It is interesting to study the development of the course and analyze the teaching and learning methods. This research was based on the action-oriented approach to pedagogy and teaching on the basis of competence. The results show that this course offers learners French at the B1+ level of CEFR and the basic skills for the airport ground staff in relation to the Rome N2201 of the Pôle Emploi of French Republic. In terms of learning activities, learners follow the Interaction Mode of Instruction to acquire life and career skills. Moreover, the software applications on flight preparation: Flightradar24 and Windy are used in the learning activities. This brings the learners to practice digital language and technology. Nevertheless, this research lacks the satisfaction of the airline entrepreneurs

Ekspresi Takut Sebagai Ide Penciptaan Karya Seni Lukis

The artist's experience in childhood with bullying and discrimination is the source of the expression of fear depicted in this work. This experience creates fear that makes artists worse off, reluctant to socialize, and withdrawn. This fear is used as an idea in the creation of paintings. The scope of experience is focused on poor social interactions at school. The form of work created uses a representational approach with changes in the form of distortion and transformation in a surreal style. The method of creation used is preparation, namely reflecting on and recalling the disturbing past. The next stage is the design stage, namely, making alternative sketches. The forming stage begins with the process of transferring the sketch to the canvas and ends with the painting process. After completing all these stages, the work is exhibited. The painting was made using the aquarel technique and the plaque technique. The materials used are acrylic paint and canvas. The creation of this work has resulted in five paintings entitled "Complaint," "Confused," "Response," "Self Opera," and "The Past."

CRVC-GAN: combining cross-scale fusion and recursion for video colorization adversarial generative networks

We proposed an innovative end-to-end generative adversarial network structure (CRVC-GAN) for video colorization, which is dedicated to solving the temporal consistency and coloring quality problems in the video coloring domain. For the temporal consistency problem, we utilize the network structure of recurrent neural network (RNN) because the model shape of RNN does not change with the input length and the calculation takes into account the history information to ensure the degree of correlation between successive frames. This better ensures the continuity between frames, so the consecutive frames get good temporal consistency in coloring. For the coloring quality problem, we utilize the UNet++ coding method to decode the video frames, integrating different levels of features to improve accuracy, and then enhance the object boundary information in the video frames, thus improving the coloring quality of grayscale video frames. In addition, we innovatively utilize the style transformation loss function in terms of images for model training to ensure temporal consistency and coloring quality by exploiting the slight difference in style variation from frame to frame. The experimental results show that, compared with the existing methods and through its own designed balance index, the colorization and temporary consistency balance index, CRVC-GAN obtained certain advantages on the DAVIS and Videvo public datasets with the results of 0.56176 and 0.74286, respectively, and achieved a better balance between time consistency and color quality.

A Study of Chao Meng-Fu's Saddle Horse Painting from the Perspective of Ethnic Integration

The Yuan Dynasty was a period of multi-ethnic, multi-cultural, mutual exchange and integration in Chinese history. As a Han official who served in the Yuan Dynasty, Chao Meng-Fu's artistic style not only inherited the orthodox Chinese culture but was also inevitably influenced by the culture of minority groups in the Yuan Dynasty due to his political identity. This paper attempts to start from an ethnic perspective, select the theme of saddle horse painting, which was more popular among ethnic minorities, and study the relationship between the evolution of Chao Meng-Fu's saddle horse painting style and the great ethnic integration of the Yuan Dynasty, to understand the relationship between the transformation of Chao Meng-Fu's artistic style and social development, and thus peep into the cultural and artistic development under the background of ethnic integration in ancient China. To the research results, Chao Meng-Fu's early artistic career mainly consisted of learning and inheriting the traditional culture of the Central Plains, but after joining the Yuan Dynasty, his saddle horse painting and artistic thoughts were influenced by the culture and arts of different ethnic groups, in the context of the integration of various ethnic groups in the Yuan Dynasty, eventually formed an artistic style of "simple brushwork and divine spirit with high intention," thus contributing to the development of ancient Chinese art from the perspective of artistic development. The author hopes that through this research, it can provide some contributions to scholars who study this field in the future.

Effects of Beauty SNS Usage Characteristics and Hair Style Interest on Hair Care Behavior

The purpose of this study is to use a total of 339 questionnaires through SPSS 24.0 to understand the effect of SNS beauty content usage characteristics and hair style interest on hair management behavior by age, and the results of this study are as follows. First of all, hair management behavior according to SNS beauty content had a positive effect on SNS interest and reliability from teenagers to those in their 50s and older. However, it was confirmed that SNS reliability was somewhat less influential. Second, hair management behavior according to hair style interest showed a positive influence on hair style transformation by age group from 20s to 50s, excluding teenagers. In the conclusion and suggestion of this study, it was found that all age groups are interested in SNS, and the higher the interest in hairstyle, the greater the influence on hair management. However, as the reliability of SNS is low, it is necessary to pay attention to increasing the reliability by providing high-quality and good information on SNS beauty content. We hope that research on the utilization of beauty content according to gender will continue in the future.

Electronic Payments: Transformation in Payment Style and its Growth in India

In the present scenario, the way of performing financial transactions by the people is entirely transformed. Consumers briskly switch to cashless payment methods. E-Payment is an innovative and digitalized payment service that refers to payment for financial transactions over the internet. It can be done through cards, with the use of mobile apps, at POS and through P2P transfers. E-modes are operated for different reasons for instance purchase of goods and payment of services, transfer of money, recharges, bill payments, ticket bookings etc. Today the way to shop and pay for it has undergone a complete change worldwide. Electronic transactions in India are increasing year after year and competing with other developed nations in terms of the number of transactions done through e-modes. In the growing and advanced ecosystem of digital transactions, the main drive to conduct this study is to analyze the usage trend of e-payment modes and the overall growth of e-payments during the period of study. The study is based on secondary data that is collected from different sources. The study reveals that demonetization and Covid-19 had a great impact on the usage of the e-payment modes and reported a CAGR of 56.31% in the country in terms of volume of e-payments over 5 years. The proportion of electronic transactions has increased sharply both in terms of volume and value of transactions. Debit and credit cards are always in use in the long run but UPI shows a great hike in its usage from its introduction. In a very short time span, UPI has created its place in the digital market.

On the History of the Palladian Architecture in British Colonies. On the Example of the Singapore Architecture in the First Half of the 19th Century

The article deals with the history of the spread of the Palladian tradition in the architecture of the British colonies. The reasons why the spread of the architectural style was not ubiquitous are revealed in detail. A list of English colonial possessions and a brief description of the specific policy conditions that influenced the architecture development in each of the regions are given. Specific examples demonstrate the change processes in the Singapore architecture. The selfless activity of F.Raffles, the Governor of Singapore, who was passionate about A.Palladio’s ideas in architecture, is described. Examples of projects of public buildings and private mansions are considered. Different periods of style transformation are highlighted; certain examples demonstrate the specific influence of local building materials, climate, public sentiment and social order on architecture. The question of the neoclassicism influence on Palladian architecture and the emergence of neo-Palladian design during the eclectic period is raised. Also, the description contains examples of architectural projects from other countries in the region, in particular Sri Lanka and Burma. Some of the examples go beyond the chronological period of the first half of the 19th century in order to demonstrate the establishment of the Palladian tradition in some countries of Southeast Asia. Colonial Palladianism is evaluated on the example of the architecture of Singapore and India.

The Role of Screen Technologies In the Formation of a New Culture of Emotions and Feelings

The article is devoted to the analysis of the phenomena of postmodern culture, confirming the validity of the concept of “society of experiences”, and describes the processes of increasing the significance and value of the affective in all spheres of culture, as well as the results of these processes. The author analyses the hypothesis of the paradox of combining individual anhedonia and an increased degree of social and textual emotionality is discussed, and gives interpretation to the theses expressed by modern sociologists and philosophers G. Schulze, A. Requitz, E. Illuz, P.Y. Aronson. The article is based on a philosophical and anthropological study of emotions that deal with sensations and modern practices of behavioral, textual, aesthetic design of affects. In contrast to the widespread concept of determining the emotionalization of culture solely by economic factors, the author of the article expands the list of reasons and conditions for emotions to enter the epicenter of socio-cultural processes. As a conclusion, the transformation of emotional styles in culture that occurred under the influence of the expansion of screen technologies is stated, and modernity is represented as an era of “emotionalization” and “psychologization”.

СТИЛІСТИЧНІ ПЕРСПЕКТИВИ ПЕРЕКЛАДУ АНГЛОМОВНИХ ДЖЕРЕЛ В СУЧАСНІЙ ІНТЕРПРЕТАЦІЇ МАЙБУТНІХ ФІЛОЛОГІВ

The article describes the general regularities of artistic text translation, which contain communicative-production and cognitive-interpretive components. The purpose of the article is to justify the stylistic perspectives of the translation of English-language sources in the modern interpretation of future philologists. The research material was authentic English and Ukrainian texts of works of art. The following research methods were used: general scientific hypothetico-deductive method; comparative analysis; analysis and synthesis; free associative experiment; Pearson's correlation analysis (correlation analysis of data) and others. The psycholinguistic analysis of these trends shows that individual translations systematically have deformation patterns that are a consequence of cognitive asymmetry in translations at the stylistic, morphological, and syntactic levels. According to the results of the research, there is confirmation of the relationship between the cognitive style of the translator's personality, respectively, and his degree of verbal creativity, which determines the stylistic representation of the translation of English-language sources in the modern interpretation by future philologists. The target versions of students of lower courses during translation are characterized by cognitive simplification, which leads to the distortion of the cognitive structure of the original source and prevents the alignment of the text according to the original, while the personal transformations of the individual style justify the narrative style of presenting information. On the other hand, the reverse tendency of the prerogative of cognitive complexity prevails among those who have acquired higher education, as a result of the increase in the equivalent of knowledge. Further perspectives on the topic of the research consist in clarifying the interrelationships of the laws of artistic text translation on the materials of other involved speech pairs and text genres.

Analysis of Guzheng Music Style Transformation Based on Generative Adversarial Networks

With the emergence of more and more new music styles, Guzheng, a traditional national musical instrument that has been handed down for thousands of years, also faces new challenges. However, with the development of the times and aesthetics, composers have created various modern Guzheng music, thus injecting new vitality into the development of Guzheng. In order to study the mutual conversion between Guzheng music and other music, this paper proposes a Guzheng music conversion model based on Star generative adversarial networks (GAN), which can convert any length of music and realize the music conversion between various styles. Based on the idea of star GAN, this model uses Mel spectrum of music and random target style tags to train a general generator to generate a specified music style. It is found that the model proposed in this paper has better conversion effect between similar styles of music; that is, when Guzheng music is converted into pop and flute, the effect is the best, the average accuracy is 89.62% and 90.32%, respectively, and the cosine similarity is also 15.8 and 20.5.

Research on Collaborative Innovation of Supply-Side Reform of University Ideological and Political Education Based on Intelligent Big Data Information Fusion

The times are changing with each passing day, and the traditional ideological and political education cannot adapt to the information age. Schools overemphasize theory, weaken the implementation of practice, ignore the needs of students, and lack electronic equipment to assist learning. All these factors make ideological and political education in colleges and universities stay in a superficial form and do not really lead students to study deeply. Innovation introduces supply-side vision, reforms educational theory structurally, and accelerates the transformation of classroom style. Let teachers and students leave the shackles of the classroom, learn from various sources of knowledge, and carry out personalized learning from their own areas of interest. The results show that (1) after data fusion, the credibility of ideological and political knowledge is 91%, which is better than other methods. (2) The knowledge base constructed by the laboratory meets the standards of colleges and universities, and its quality passes the standard, but its timeliness is slightly poor, and the test result is about 85%. (3) Learning interest model can push personalized knowledge according to students’ characteristics. (4) In the actual scene, students’ ideological and political education shows a benign development trend. The results of this study are quite satisfactory, which verifies the practicability and effectiveness of the proposed method and obtains feasible results.

Using the marsh elements in the forming of modem Iraqi art

The research presented a case of employing the environment in the visual perception of technical work by its interaction with vocabulary, symbols, and visible or hidden elements in the innermost tales and legends in the marshs environment, therefore, the researcher pursued the goal of the research, which is to identify the diversity of methods in employing the environment of the marshes in contemporary Iraqi art. In chapter two, the researcher divided it into two topics, topic one entitled the influence of the environment in artistic transformations, while topic two bore the title of the environment of the marshes and stylistic contrast in contemporary Iraqi art, in which the researcher traced the experiments with their stylistic variations and techniques in the manifestation While chapter three , analysis of techniques, titled The Marsh Environment and its Compressive Influences on the Stylistic Transformation in Contemporary Iraqi Art.

An End-to-end Supervised Domain Adaptation Framework for Cross-Domain Change Detection

Change detection is a crucial but extremely challenging task in remote sensing image analysis, and much progress has been made with the rapid development of deep learning. However, most existing deep learning-based change detection methods try to elaborately design complicated neural networks with powerful feature representations. However, they ignore the universal domain shift induced by time-varying land cover changes, including luminance fluctuations and seasonal changes between pre-event and post-event images, thereby producing suboptimal results. In this paper, we propose an end-to-end supervised domain adaptation framework for cross-domain change detection named SDACD, to effectively alleviate the domain shift between bi-temporal images for better change predictions. Specifically, our SDACD presents collaborative adaptations from both image and feature perspectives with supervised learning. Image adaptation exploits generative adversarial learning with cycle-consistency constraints to perform cross-domain style transformation, which effectively narrows the domain gap in a two-side generation fashion. As for feature adaptation, we extract domain-invariant features to align different feature distributions in the feature space, which could further reduce the domain gap of cross-domain images. To further improve the performance, we combine three types of bi-temporal images for the final change prediction, including the initial input bi-temporal images and two generated bi-temporal images from the pre-event and post-event domains. Extensive experiments and analyses conducted on two benchmarks demonstrate the effectiveness and generalizability of our proposed framework. Notably, our framework pushes several representative baseline models up to new State-Of-The-Art records, achieving 97.34% and 92.36% on the CDD and WHU building datasets, respectively. The source code and models are publicly available at https://github.com/Perfect-You/SDACD.