Entertainment Domains Research Articles

Approaches of Chaotic Image Encryption models in Enlightening Image Storage and Security systems

The present life scenario has become completely digital and intelligent in all aspects, including the way of communication, production methodologies, medical sciences and other entertainment domains. Out of all domains, communication plays a vital role in every human life and the same is valid for corporates who handle bulk amount of data to be transmitted. This may include a multimedia data transfer between defense authorities of various countries or between a commercial information sharing centers. Under these circumstances, such information is to be transmitted in a secured channel. Unfortunately, secured fiber optic or any other wired communication is highly expensive and not affordable for infinite number of users. Hence, most of the communications among people are only through wireless channels. Due to the tremendous developments in communication standards up to 5G, people prefer wireless communications to cover the whole part of the world. As the information is freely available to anyone in the form of electromagnetic waves, it is impossible to share privately through a common wireless network due to week encryption methodologies. Simultaneously key space is not abundant. This has been highly inspired to pursue research in a different direction to a greater degree and to develop the measurements of current cryptography protocols and procedures. Choosing a chaotic encryption domain has several compelling explanations as described here.

Complex Network and Source Inspired COVID-19 Fake News Classification on Twitter

In COVID-19 related infodemic, social media becomes a medium for wrongdoers to spread rumors, fake news, hoaxes, conspiracies, astroturf memes, clickbait, satire, smear campaigns, and other forms of deception. It puts a tremendous strain on society by damaging reputation, public trust, freedom of expression, journalism, justice, truth, and democracy. Therefore, it is of paramount importance to detect and contain unreliable information. Multiple techniques have been proposed to detect fake news propagation in tweets based on tweets content, propagation on the network of users, and the profile of the news generators. Generating human-like content allows deceiving content-based methods. Network-based methods rely on the complete graph to detect fake news, resulting in late detection. User profile-based techniques are effective for bots or fake accounts detection. However, they are not suited to detect fake news from original accounts. To deal with the shortcomings in existing methods, we introduce a source-based method focusing on the news propagators’ community, including posters and re-tweeters to detect such contents. Propagators are connected using follower-following relations. A feature set combining the connectivity patterns of news propagators with their profile features is used in a machine learning framework to perform binary classification of tweets. Complex network measures and user profile features are also examined separately. We perform an extensive comparative analysis of the proposed methodology on a real-world COVID-19 dataset, exploiting various machine learning and deep learning models at the community and node levels. Results show that hybrid features perform better than network features and user features alone. Further optimization demonstrates that Ensemble’s boosting model CATBoost and deep learning model RNN are the most effective, with an AUC score of 98%. Furthermore, preliminary results show that the proposed solution can also handle fake news in the political and entertainment domain using a small training set.

Recommendation-Based Meta-Search Engine for Suggesting Relevant Documents Links

The information available online is mostly present in an unstructured form and search engines are indispensable tools especially in higher education organizations for obtaining information from the Internet. Various search engines were developed to help learners to retrieve the information but unfortunately, most of the information retrieved is not relevant. The main objective of this research is to provide relevant document links to the learners using a three-layered meta-search architecture. The first layer retrieves information links from the web based on the learner query, which is then fed to the second layer where filtering and clustering of document links are done based on semantics. The third layer, with the help of a reasoner, categorizes information into relevant and irrelevant information links in the repository. The experimental study was conducted on a training data set using web queries related to the domain of sports, entertainment, and academics. The results indicate that the proposed meta-search engine performs well as compared to another stand-alone search engine with better recall.

Using wireless and mobile technologies to enhance teaching and learning strategies

The tremendous development and sensational popularity of smart mobile devices that offer remarkable availability of seamless and uninterrupted communication services at anytime, anywhere, to any content as well as any prospects represent a new cohort of technological tools that could be utilized for inculcating creative skills in young children. Now a days many companies are manufacturing lot of apps that target children education and entertainment. Both the Parents and educators find a huge responsibility in evaluating and selecting such devices and decide which of these offer potential educational benefits for their children. This decision is critical to them since they restricted tools to evaluate the applications available in the market. Hence the development of an interactive and multisensory component based mobile application environment with integrated physical and virtual reality scenario could solve the issue related to the children education and entertainment. This is not just limited to education and the entertainment domain but will explore essential features of virtual reality environment and interactivity. Children with special education needs find it difficult to understand new knowledge and concept but by the use of virtual reality worlds produced for children could enhance their level of understanding. Therefore this paper dscusses the development of adaptable, customizable and virtual reality based compliant applications for children. These applications would be useful to enhance learning essentials and improve diverse sensory and cognitive impairments in even children with special needs by resolving mobility issues. This application could be made available on i-pads, tablets, etc and will be intelligent to perform switch between the different intellectual ranges of children accessing it. In other words it will present self-adaptability feature. This research study also focuses on the activities that are suitable for learning purposes with students with impairments.

“We understand each other, my friend”. The freak show and Victorian medicine in "The Elephant Man"

A large part of David Lynch’s oeuvre centres around corporeal anxieties and grotesque, divergent bodies drawing attention to their own biological nature. One such example is the 1980 feature "The Elephant Man", focusing on John Merrick, a freak show performer severely afflicted with a disfiguring disease. The film juxtaposes key characters in the film and moves between their different perspectives: that of Merrick, a freak show performer; Doctor Treves, a man of science; Bytes, an entertainer; and finally, a number of peripheral observers from both the high and low classes of Victorian society. The titular Elephant Man’s disfigured body becomes the object of spectacle both in a freak show and in a medical lecture theatre. This paper compares scenes presenting Merrick’s body as an exhibit and argues that Lynch draws parallels between the domain of sensational entertainment (Merrick as a carnival monster) and scientific analysis (Merrick as a medical specimen). In this way, the film highlights the similarities between the perception of the body in those two seemingly incongruous discourses. I suggest that the exhibition of a monstrous body in The Elephant Man, both in the context of a sideshow and Victorian medical lecture, are consciously theatrical.

Association of Demographic and Hearing-Related Factors With Cochlear Implant–Related Quality of Life

Only limited evidence is available describing the contribution of patient-related factors to quality of life in adults with cochlear implants. Assess the association between demographic, hearing-related, and cochlear implant-related factors and quality of life by using a new Cochlear Implant Quality of Life (CIQOL) item bank, which was developed to meet rigorous psychometric standards. Multicenter cross-sectional study of adults 18 to 89 years of age who had at least 1 year of cochlear implant use and who were recruited through a consortium of 20 cochlear implant centers in the United States. Using an online format, questionnaires were sent to the first 500 participants who contacted the research team. Of these participants, 371 (74.2%) completed the questionnaire. Demographic, hearing-related, and cochlear implant-related data were obtained along with responses to each of the 81 items in the CIQOL item bank. Multivariable linear regression was used to examine demographic, hearing-related, and cochlear implant-related factors associated with scores in each of the 6 CIQOL domains (communication, emotional, entertainment, environment, listening effort, and social). Association among demographic, hearing-related, and cochlear implant-related factors and CIQOL scores for each of 6 domains. Of the 371 participants who completed the questionnaire, 222 (59.8%) were women, and the mean (SD) age was 59.5 (14.9) years. The CIQOL scores were normally distributed across the 6 domains. Being employed, having higher household income, longer duration of hearing loss prior to cochlear implantation, and having bilateral rather than unilateral cochlear implantation were associated with higher CIQOL scores in 1 or more domains, but the effect size varied widely (β, 0.1-6.9). Better sentence recognition ability (using AzBio to measure speech recognition) was associated with only a small positive effect size for the communication (β, 0.0 [95% CI, 0.0-0.1]), entertainment (β, 0.0 [95% CI, 0.0-0.1]), and environmental (β, 0.0 [95% CI, 0.0-0.0]) domains. Increased age was associated with lower CIQOL in the entertainment domain (β, -0.3 [95% CI, -1.5 to -0.4]). The demographic, hearing-related, and cochlear implant-related factors included in the multivariable regression models accounted for only a small percentage of the variance in CIQOL domain scores (R2, 0.08-0.17). Several factors were found to predict higher or lower CIQOL scores in specific domains, with speech-recognition ability having only a minimal association. Despite evaluating a large number of demographic, hearing-related, and cochlear implant-related factors, the multivariable models accounted for only a small amount of CIQOL variance. This suggests that patient or other characteristics that contribute to cochlear implant-related quality of life remain largely unknown.

Intelligent web search system for personalised web search based on recommendation of web page communities

In this paper an intelligent web search system is proposed based on recommendation of web page communities for personalised web search (PWS). Web page communities are set of web pages that provide the good quality resource on a given topic. The intelligent search system adapts the web search to the user's information need based on recommendation of web page communities. The groups of similar content clicked web pages in clusters are selected for generation of web page communities using maximum flow algorithm with hyperlink-induced topic search (HITS). The cluster of web page communities is selected for recommendations of relevant web pages to user during web search for effective web information retrieval. Experiment was conducted on collection of web query sessions in academics, entertainment and sports domain. The experimental results were compared with classic IR and PWS (HITS) based on same dataset and hence the results show the improvement in precision of search results using intelligent web search based on web page communities.

Organization of leisure practices of student youth in higher education institutions

The Subject: Organization of entertainment practices for students’ youth at higher educational institutions. Summary. The article deals with the analysis of the peculiarities of organization of entertainment practices of students youth at the institutions of higher education. It is noted that proper organization of entertainment of those who get higher education is an important task at today’s stage of development of the contemporary society. Attention is paid to the fact that higher educational institutions are to become one of the principal subjects of organization of students’ living space, not only at tuition time but also during free time. Students do need some qualitative and meaningful leisure, oriented, first and foremost at personal and professional development of youthАbstract. Introduction. Organization of educational and tuition process at higher school must correspond to the requirement of time, as well as the requirements and needs of the students. Both organization of the process of tuition at higher school and how students spend their free time acquire some importance. The task of higher educational institutions is to set up such entertainment practice for their students, which will develop personality and promote the required professional competences, increasing the level of youth competitive strength on the contemporary labour market. Analysis of publications. A lot of investigations may be found in pedagogics, devoted to youth education at higher educational institutions, particularly, the works by such scholars, as G. Averyanov, B. Vulfov, A.Davidyuk, R.Kapralov, A Nikitin , to name but a few. At the same time the system of development of entertainment practices within the framework of educational work at higher educational institutions is yet to be theoretically and technologically substantiated. Purpose. The objective of the work is to analyze the peculiarities of social and educational work in respect of forming various entertainment practices for students’ youth, including those for volunteers at higher educational institutions. Results. Students’ youth is a special social and demographic group. Entertainment time of this group is very often dedicated to an intercourse in youth groups, companies of the same age, or in social network. Negative revelations, occuring in the domain of entertainment often happen due to its bad organization, hence, the need to define the ways of regulating the leisure sphere of youth activity. According to the results of the social research “The city as students see it”, performed at Priazovskyi State Technical University SHEI in November 2017 the students need qualitative and meaningful leisure, with orientation on personal and professional development of the younger generation. So, the activities of higher educational institutions in this direction seem to be of special importance. The university spares no efforts for its students to be able to spend their free time being busy with some useful and interesting matters, including those, connected with volunteers’ movement. Conclusions. The contemporary conditions of the society’s development require implementation of new forms of educational activity at higher educational institutions. Volunteering could be one of such forms. Such activities allow generating some important traits, like tolerance, humanism, activity, initiative and creativity in students’ youth. Still, it can be realized only in case of correctly organized and controlled process. Volunteers’ activity and other entertainment practices of students’ youth ought to be organized and managed by the educational institution within the framework of fulfillment of the plan of educational work.

On Muscle Selection for EMG Based Decoding of Dexterous, In-Hand Manipulation Motions.

The field of Brain Machine Interfaces (BMI) has attracted an increased interest due to its multiple applications in the health and entertainment domains. A BMI enables a direct interface between the brain and machines and is capable of translating neuronal information into meaningful actions (e.g., Electromyography based control of a prosthetic hand). One of the biggest challenges in developing a surface Electromyography (sEMG) based interface is the selection of the right muscles for the execution of a desired task. In this work, we investigate optimal muscle selections for sEMG based decoding of dexterous in-hand manipulation motions. To do that, we use EMG signals derived from 14 muscle sites of interest (7 on the hand and 7 on the forearm) and an optical motion capture system that records the object motion. The regression problem is formulated using the Random Forests methodology that is based on decision trees. Regarding features selection, we use the following time-domain features: root mean square, waveform length and zero crossings. A 5-fold cross validation procedure is used for model assessment purposes and the importance values are calculated for each feature. This pilot study shows that the muscles of the hand contribute more than the muscles of the forearm to the execution of inhand manipulation tasks and that the myoelectric activations of the hand muscles provide better estimation accuracies for the decoding of manipulation motions. These outcomes suggest that the loss of the hand muscles in certain amputations limits the amputees' ability to perform a dexterous, EMG based control of a prosthesis in manipulation tasks. The results discussed can also be used for improving the efficiency and intuitiveness of EMG based interfaces for healthy subjects.

The Ludification of the Archaeological Past – Opportunities and Threats

The subject of this paper is the archaeologically created past, seen as a reservoir of pleasure. The topic is discussed in comparison with changes of the contemporary man’s approach to the past. The organising motif of my reflections is the category of pleasure and different ways of pursuing it by people, mainly by means of broadly understood play. I propose here two theses, namely: (1) in the contemporary world the past, being a point of reference for archaeological investigation, may constitute a source of pleasure or inspiration to search for pleasure; (2) the ways of presenting the past to a certain degree have been subjugated by the rules that have been reserved for the domains of entertainment and consumption. This paper will relate to: (1) the pleasure of exploring of the past; (2) the pleasure of re-enacting and performing the past, and (3) the pleasure of playing with the past during archaeological fetes.

Review based emotion profiles for cross domain recommendation

Several e-commerce sites are reaping the benefits of Cross-Domain Recommendation (CDR) systems to cross-sell products, guide new users and increase revenues. Current research works augment user-item ratings with a variety of auxiliary information such as location, personality, geo-tags and multimedia content that link multiple domains to provide effective CDR. In this paper, we propose a fresh perspective for generating recommendations across different domains by tapping the emotions that are encapsulated within user generated textual content such as reviews, blogs and comments. Such emotions serve as strong socio-psychological links between various entertainments domains and have the potential to obviate the cold start problems. Our CDR scheme uses an enriched emotion lexicon to analyze the emotions in online content expressed by users in the source and target domains and generates emotion-profiles of items and users in both domains. Subsequently, it applies collaborative filtering to match these profiles in order to recommend items in the target domain. We illustrate the working of our emotion-based CDR scheme using the movie and book domains as a case study. Experimental results on Movielens and Bookcrossing datasets yield 28.9% F1-measure which is a marked improvement of 71.1% as compared with a recently reported topic modeling approach to CDR for entertainment domains.

DBpedia based Ontological Concepts Driven Information Extraction from Unstructured Text

In this paper a knowledge base concept driven named entity recognition (NER) approach is presented. The technique is used for information extraction from news articles and linking it with background concepts in knowledge base. The work specifically focuses on extracting entity mentions from unstructured articles. The extraction of entity mentions from articles is based on the existing concepts from DBPedia ontology, representing the knowledge associated with the concepts present in Wikipedia knowledge base. A collection of the Wikipedia concepts through structured DBpedia ontology has been extracted and developed. For processing of unstructured text, Dawn news articles have been scrapped, preprocessed and thereby a corpus has been built. The proposed knowledge base driven system shows that given an article, the system identifies the entity mentions in the text article and how they can automatically be linked with the concepts to the corresponding entity mentions representing their respective pages on Wikipedia. The system is evaluated on three test collections of news articles on politics, sports and entertainment domains. The experimental results in respect of entity mentions are reported. The results are presented as precision, recall and f-measure, where the precision of extraction of relevant entity mentions identified yields the best results with a little variation in percent recall and f-measures. Additionally, facts associated with the extracted entity mentions both in form of sentences and Resource Description Framework (RDF) triples are presented so as to enhance the user’s understanding of the related facts presented in the article.

Improving relevance in a content pipeline via syntactic generalization

This is a report from the field on a linguistic-based relevance technology based on learning of parse trees for processing, classification and delivery of a stream of texts. We describe the content pipeline for eBay entertainment domain which employs this technology, and show that text processing relevance is the main bottleneck for its performance. A number of components of the content pipeline such as content mining, aggregation, deduplication, opinion mining, integrity enforcing need to rely on domain-independent efficient text classification, entity extraction and relevance assessment operations.Text relevance assessment is based on the operation of syntactic generalization (SG) which finds a maximum common sub-tree for a pair of parse trees for sentences. Relevance of two portions of texts is then defined as a cardinality of this sub-tree. SG is intended to substitute keyword-based analysis for more accurate assessment of relevance which takes phrase-level and sentence-level information into account. In the partial case where short expression are commonly used terms such as Facebook likes, SG ascends to the level of categories and a reasoning technique is required to map these categories in the course of relevance assessment.A number of content pipeline components employ web mining which needs SG to compare web search results. We describe how SG works in a number of components in the content pipeline including personalization and recommendation, and provide the evaluation results for eBay deployment. Content pipeline support is implemented as an open source contribution OpenNLP.Similarity and is available at https://github.com/bgalitsky/relevance-based-on-pars-trees.

The image of Belgrade and Novi Sad as perceived by foreign tourists

The image of a tourist destination to a large degree contributes to decision-making while selecting and visiting a destination. Therefore, creating a positive image in mind of the consumers is vital for the said destination. In the analysis of image of Belgrade and Novi Sad from the perspective of foreign tourists, it has been established that the image is associated with the domain of entertainment and night life, quality food and drinks, as well as the hospitality of local population. The image of rich history is also connected to Belgrade, while cleanliness is attributed to Novi Sad. The differences in the image of these two cities are most frequently located in the aura of the location, that is, the ambiance predominant in the city. While Belgrade is fast-paced, wild, full of life, Novi Sad is charming, romantic, slow, quiet and peaceful. What can be noted is that neither Belgrade nor Novi Sad do not have any tourist attractions that are extremely attractive for tourist, such as the Eiffel Tower in Paris, Red Square in Moscow, The Statue of Liberty in New York. Creating provocative tourist attractions is necessary to drastically increase the number of tourists. Novi Sad has made a significant step in that sense by organizing a music festival - Exit, however, the downside to using such events as tourist attractions is their temporal limitation (they most frequently last several days a year), which is insufficient for the city to make larger profit from tourism.

On Privacy and Security in Social Media – A Comprehensive Study

Social networks have become a part of human life. Starting from sharing information like text, photos, messages, many have started share latest news, and news related pictures in the Media domain, question papers, assignments, and workshops in Education domain, online survey, marketing, and targeting customers in Business domain, and jokes, music, and videos in Entertainment domain. Because of its usage by Internet surfers in all possible ways, even wee would mention the social networking media as the current Internet culture. While enjoying the information sharing on Social Medias, yet it requires a great deal for security and privacy. The users’ information that are to be kept undisclosed, should be made private.

Shuttling between politics and entertainment

Using China’s Red Cross scandal as a central case, this study examines the interaction between Chinese mainstream media and media users on China’s Internet in the course of the event. This study reflects on how the participation of Chinese netizens impacted Chinese mainstream media in the digital age, how Chinese mainstream media responded, and how the interplay between the media and media users affected the trajectory of the event. The Red Cross case indicates that in today’s China, the boundary between the political domain and the entertainment domain is fluid. The two domains have different functions and implications. The specific case discussed in this paper traveled back and forth between the two domains depending on the power dynamic between the media, media users, and the larger social, political context.

Using Recurrent Neural Networks for Slot Filling in Spoken Language Understanding

Semantic slot filling is one of the most challenging problems in spoken language understanding (SLU). In this paper, we propose to use recurrent neural networks (RNNs) for this task, and present several novel architectures designed to efficiently model past and future temporal dependencies. Specifically, we implemented and compared several important RNN architectures, including Elman, Jordan, and hybrid variants. To facilitate reproducibility, we implemented these networks with the publicly available Theano neural network toolkit and completed experiments on the well-known airline travel information system (ATIS) benchmark. In addition, we compared the approaches on two custom SLU data sets from the entertainment and movies domains. Our results show that the RNN-based models outperform the conditional random field (CRF) baseline by 2% in absolute error reduction on the ATIS benchmark. We improve the state-of-the-art by 0.5% in the Entertainment domain, and 6.7% for the movies domain.

The Punjabi Sikh Community in Kuching

ABSTRACT This study was conducted using a mixed research method including quantitative and qualitative data collection to investigate the cultural and linguistic practices of the Punjabi Sikhs in Kuching, Sarawak in East Malaysia. It was aimed to determine whether the community had integrated with the majority community/communities in Kuching and to what extend it has preserved its ethnic identity. Data were collected on the Punjabis use of language in the domains of family, workplace, and entertainment. Other social factors like eating habits, dressing, celebration of festivals, marriage preference, religious practices and self-identity were also examined. It was identified that the minority community of the Punjabi Sikhs in Kuching, Sarawak has a tendency towards maintaining a strong cultural vitality and uniqueness. The community shows a high degree of assimilating towards the use of English language, although they appear to be maintaining their core Punjabi cultural traits and practices. Kuching Punjabis may have lost a vital segment of their cultural enrichment in the form of language but they crucially hold positive perceptions about their ethno-cultural and ethno-linguistic identity. Thus contradicting the traditional cultural studies, which incline that not maintaining the language, can lead to losing the other aspects of culture.

Applying the Technology Acceptance Model to Evaluation of Recommender Systems

In general, the study of recommender systems emphasizes the efficiency of techniques to provide accurate recommendations rather than factors influencing users' acceptance of the system; however, accuracy alone cannot account for users' satisfying experience. Bearing in mind this gap in the research, we apply the technology acceptance model (TAM) to evaluate user acceptance of a recommender system in the movies domain. Within the basic TAM model, we incorporate a new latent variable representing self-assessed user skills to use a recommender system. The experiment included 116 users who answered a satisfaction survey after using a movie recommender system. The results evince that perceived usefulness of the system has more impact than perceived ease of use to motivate acceptance of recommendations. Additionally, users' previous skills strongly influence perceived ease of use, which directly impacts on perceived usefulness of the system. These findings can assist developers of recommender systems in their attempt to maximize users' experience. that go beyond the quality of the prediction algorithm. Several models attempted to address this problem, explaining and predicting the use of a system; nonetheless the Technology Acceptance Model (TAM) has been the one that has met with approval within the Information Systems community (3). This paper aims at exploring potential user acceptance issues on a traditional recommender system, using the TAM. Within the basic TAM model, we incorporate a new latent variable representing self-assessed user skills to use a recommender system. We conducted an empirical user study using a movie recommender system as a testbed, as well as a questionnaire applicable to any recommender system in the entertainment domain (books, music, movies, etc.). The results evidence that the two main factors impacting on user acceptance are perceived usefulness and perceived ease of use, which is also affected by supposed skills in the use of recommender systems. The remainder of this paper is organized as follows. Section 2 presents the Technology Acceptance Model used in our study. Section 3 presents some related work regarding the application of TAM to recommender systems. Section 4 describes the methodology used in our study and Section 5 presents the results obtained. Finally, Section 6 presents our conclusions.

RGB cams vs RGB-D sensors: Low cost motion capture technologies performances and limitations

Motion capture of the human body has being performed for decades with a growing number of technologies, aims and application fields; but only recent optical markerless technologies based on silhouette recognition and depth sensors which have been developed for videogames control interface have brought motion capture to a broad diffusion. Actually, nowadays there are low cost hardware and software suitable for a wide range of applications that may vary from entertainment domain (e.g., videogames, virtual characters in movies) to the biomechanical and biomedical domain (e.g., gait analysis or orthopedic rehabilitation) and to a huge number of industrial sectors. In this quick evolving scenario it is hard to tell which technology is the most suitable for any desired goal. The aim of the paper is to answer to this issue by presenting a benchmark analysis that compares RGB and RGB-D technologies used to track performing people in a variety of conditions. In order to contrast the solutions, several different tasks have been selected, simultaneously captured and post-processed exactly in the same way. The test campaign has been designed to evaluate pros and cons according to the most important feature of a motion capture technology, such as volume of acquisition, accuracy of joint position and tracking of fast movements. Actors were asked to perform a number of tasks, among which free movements of arms, legs and full body, gait, and tasks performed interacting with a machine. The number of sensors around the scene and their disposition have been considered as well. We used Sony PS Eye cameras and Microsoft Kinect sensors as hardware solutions and iPisoft for data elaboration. The gathered results are organized, compared and discussed stressing performances and limitations of any combination and, at last, we proposed the best candidate technology for some key applications.