Social Media Translational Action

Internet application advancement has enabled Korean pop culture (K-Pop) to rapidly spread worldwide. However, technology alone is insufficient in delivering k-pop content to K-Pop fans because of language barriers. Hence, the translator's role is pivotal in decoding these data. Realising this crucial need, fans have acted as translators in interpreting enormous data file that have been improperly translated or unavailable in the original file. This research examined the translation process occurring in Twitter microblogging environment which is rarely analysed among linguistic scholars. the translation style of fan translators was identified, and the translational action involved discussed. K-Pop group, Bangtan Sonyeondan's (BTS) twitter account was selected as the main data source and Korean-English fan translation of the content distributed in the account was collected. The microblogging interface is equipped with the latest technology that supports multimedia data form, resulting in more dynamic translation work which needs to be highlighted in translation studies.

A Hybrid Online Classifier System for Internet Traffic Based on Statistical Machine Learning Approach and Flow Port Number

Internet traffic classification is a beneficial technique in the direction of intrusion detection and network monitoring. After several years of searching, there are still many open problems in Internet traffic classification. The hybrid classifier combines more than one classification method to identify Internet traffic. Using only one method to classify Internet traffic poses many risks. In addition, an online classifier is very important in order to manage threats on traffic such as denial of service, flooding attack and other similar threats. Therefore, this paper provides some information to differentiate between real and live internet traffic. In addition, this paper proposes a hybrid online classifier (HOC) system. HOC is based on two common classification methods, port-base and ML-base. HOC is able to perform an online classification since it can identify live Internet traffic at the same time as it is generated. HOC was used to classify three common Internet application classes, namely web, WhatsApp and Twitter. HOC produces more than 90% accuracy, which is higher than any individual classifiers.

The Impact of Different Internet Application Contexts on Knowledge Transfer between Enterprises

This paper investigates the effect of different Internet application scenarios on the forward and reverse knowledge transfer between architecture enterprises and component enterprises in the context of modular production in manufacturing enterprises. After dividing the Internet contexts into three the perspectives of Internet tools, Internet platforms, and Internet resources, this paper adopts a system dynamics approach to construct a causality model and a system flow diagram of the influence of different Internet contexts on the knowledge transfer between architecture enterprises and component enterprises, and uses Vensim PLE software to simulate and conduct a sensitivity analysis of the model. The results show that the three Internet contexts, namely Internet tools, Internet platforms, and Internet resources, can promote both positive and negative knowledge transfer between architecture enterprises and component enterprises, and exhibit a steadily growing trend of promotion; Internet tools and Internet resources are more conducive to positive knowledge transfer from architecture enterprises to component enterprises, and Internet platforms have a stronger facilitation effect on the reverse knowledge transfer from the component enterprises to the architecture enterprises. Our research offers useful recommendations for businesses on how to utilize various Internet settings to promote and assist effective knowledge transfer.

Internet System Supporting the Work of Nurses in Long-Term Geriatric Care

The development of health sciences along with the continuous technological progress contribute to the emergence of web applications. There exist many applications supporting the work of doctors, whereas the market definitely lacks solutions supporting the work of nurses. This is particularly evident in long-term geriatric home care, in which the nursing specialization is developing rapidly. Care of elderly patients requires the nurse to collect medical documents from each visit. Considering the large number of diseases affecting elderly people and the number of required visits – which should exceed 4 a week – a decision was made to develop an Internet application supporting the work of nurses in long-term geriatric care. The application facilitates the process of geriatric patient description in order to eliminate the need for filling in paper medical records. This study presents the method of developing an Internet application supporting the work of nurses in long-term geriatric care. The software was developed based on an analysis of conclusions from a social study carried out in a group of 42 nurses providing geriatric long-term home medical care services in the district of Białystok, Poland. The aim of the study was to determine the features, functionality, and declarative interest in using the software. Conclusions from the analysis indicated that the attempt to develop the application had been justified. Moreover, conclusions from the social survey formed the basis for formulating the design assumptions. The web application was developed in the following technologies: HTML 5, CSS3, JavaScript, PHP 7, and MySQL. First, a prototype of the solution was tested in a XAMPP environment. After successful tests, the app was tested in a nursing practice. The obtained test results raise high hopes for potential commercialization of the application.

Self-Perceived Problematic Use of Online Pornography Is Linked to Clinically Relevant Levels of Psychological Distress and Psychopathological Symptoms

Online pornography is a widespread Internet application. As with other Internet applications, in some cases its use can become problematic. First indications point to a link between problematic use of online pornography and psychological distress and general functional impairment. However, to date, there are no standardized criteria for assessing problematic use of online pornography. In this study, we used the Online Pornography Disorder Questionnaire (OPDQ)—an instrument which adapted the official criteria for Internet Gaming Disorder to online pornography—to measure problematic use and investigated to what extent consumers with a self-perceived problematic use of online pornography differed from casual users with regard to their psychological distress. An online sample of German adult visitors to a popular casual dating site completed the OPDQ, the Brief Symptom Inventory (BSI), and provided information on their online pornography use (n = 1539; 72.6% male; 31.43 ± 11.96 years). T-scores for the BSI were calculated and independent t-tests were conducted to compare casual users with consumers with a self-perceived problematic use of online pornography. Of the users, 5.9% fulfilled the criteria for problematic use. This group consumed online pornography for longer amounts of time and showed higher levels of psychological distress (Hedges’ g from 0.75 to 1.21). The T-scores of users with self-perceived problematic online pornography use reached clinically relevant levels on all subscales. Overall, the results of the study indicate that self-perceived problematic use of online pornography seems to be linked to severe psychological distress that may warrant clinical attention.

Web Service Performance Analysis and Research of Distributed LAMP Architecture

There are many websites on the Internet in the early stage of development, its Web service performance is not strong enough, resulting in the failure to run the system and finally the system crash. Based on this situation, in order to ensure the accurate and efficient service of the Internet website, it is necessary to analyze and study the service performance of the Web. Distributed LAMP architecture studies and analyzes the performance of Web services, which can accurately discover the performance defects and problems of Web, and research a more appropriate configuration of service performance, and the final results presented are more accurate and effective. With the deepening development of the Internet application, the website has become a key window for many people’s information sources. Through the Internet website, we can not only understand the world more comprehensively, but also learn more knowledge. Therefore, building Web services with better performance is something we should consider. In this paper, the performance of the Web server was optimized and improved through the analysis and research of the load of the Web server, and the tuning test was carried out through distributed LAMP architecture by observing the Web service’s access to users, data information maintenance and monitoring, etc.

Translation of the Proper Nouns in Legal English

Proper nouns have posed a challenge to translators of legal English for a long time. Legal English has the characteristics of formality, accuracy, ambiguity, professional, etc. These characteristics have made it more difficult for translation of the proper nouns in legal English. However, due to not paying enough attention to translation of the proper nouns in legal English, translators engaged in legal translation often make a lot of mistakes during the process of translation. Generally speaking, names of people or places are transliterated, while names of institutions or books are semantic translated. Transliteration should follow the principle of conformity to the original and the principle of convention, the former is mainly applied to proper nouns of non-English origin, while the latter concerning established wording or phrasing. In order to translate the proper nouns in legal English better, firstly, we should be aware of the difficulties of translation of the proper nouns in legal English; secondly, we should try our best to accumulate extensive legal knowledge and improve our translation skills; thirdly, we should make full use of reference books and master the skills of Internet application; last but not the least, we should ask for advice from others.

Performance Evaluation of GFDM Channel Estimation Using DFT for Tactile Internet Application

In this work, discrete Fourier transform (DFT)-based channel estimation is proposed in generalized frequency division multiplexing (GFDM) system. In the GFDM system, the subcarriers are non-orthogonal; therefore, the pilot symbols cannot be easily observed due to the interference from data symbols and noise. The proposed method can improve the channel estimation of least square (LS) method by eliminating channel impulse response outside the number of actual impulse response. First, the received signal is demodulated using zero forcing demodulator. Then, it is divided with transmitted pilot symbols to obtain channel response. Interpolation in frequency and time domains is conducted to acquire channel response for all GFDM blocks. Finally, the channel estimation algorithm using DFT is performed. The parameters of the system are adjusted so that they are suitable for tactile internet application. The channel model used is NYUSIM, which utilizes mmWave. Three scenarios in NYUSIM such as urban microcell, urban macro cell and rural macro cell are used and power delay profiles generated from NYUSIM simulator are employed in this system. The results show that mean square error (MSE) from DFT-based channel estimation gives substantial improvement for all scenarios. In addition, symbol error rate (SER) of DFT-based channel estimation provides a slight improvement of 1.5 dB than LS channel estimation.