User Feels Research Articles

THE STUDY OF SLANG WORDS IN MEGAN THEE STALLION’S LYRICS

Slang words are a form of linguistic variant that people adopt as a new vocabulary to use in everyday situations. When the slang words are analyzed into social functions, the detail of the language becomes clear. This research aimed to discover the social functions of slang words in Megan Thee Stallion’s lyrics in an album Good News through theory Zhou & Fan (2013). This research aimed to (a) investigate the social functions of slang words that are used, (b) elucidate how the social functions of slang words are used and (c) explain the reason of using the slang words. The qualitative descriptive method was used for this research. This research obtained 35 slang words as data used in Megan Thee Stallion. The part of emotive feeling is the highest percentage than the other parts which is more frequently expressing her feeling use slang words than other parts with 24 data reached 54%, pursuit of self-identity with 19 data reached 40%, and achieving politeness with 2 data reached 6%. Therefore, the usage of slang words is not used randomly, but it has the social functions of slang words which are pursuit of self-identity, emotive feeling of the slang users, and achieving politeness.

Research on the immersive multimedia virtual interactive experience technology of the Great Wall World Heritage based on VR vision system

Abstract This paper constructs an immersive multimedia virtual interactive experience technology with the Great Wall World Heritage Site as the experimental object. By analyzing the VR vision system and algorithm, the process of stereo vision perception and the general algorithm of somatic image production are explained. The distance equation and depth calculation in stereoscopic projection are studied, and the virtual interactive experience technology is constructed and applied to the World Heritage Site of the Great Wall. The result data show that the immersive multimedia virtual interactive experience technology highlights the real feeling of users more, in which the model has 50% of the influence on the real feeling, the mapping has 15%, the lighting has 15%, and the rendering has 10%. The youth population has a higher percentage of interest in the virtual field, accounting for 50%, 65%, and 60%, respectively, while the middle-aged stage has a more average degree of interest in the virtual field, with 50% of the average interest, 30% of happy to experience, 25% of not interested and 50% of interested. This thesis is conducive to enriching the project of the Great Wall World Heritage Site and providing an effective reference for technological innovation of immersive multimedia virtual interactive experience.

Love and Social Work in the UK: A Critical Evaluation

Recently social work scholars have been exploring the concept of love and social work. A focus on love takes social work back to its roots, reinforcing care for, sensitivity and responsiveness to, the feelings of service users and relationships between service users and practitioners. Some scholars see love operating not only at individual levels, but also with action elements at structural levels challenging power, inequality, and oppression. The recent work of various international writers about social work and love is summarised. However, the concept of love and social work raises important complex, critical questions which are tentatively considered in this article. The aims of the article are to explore the concept of love as applied to professional social work, to highlight its strengths and weaknesses and offer some critical perspectives. Other aims are to begin to explore linkages between love and some existing social work theories, concepts, and values and to consider the implications of love for social work practice in statutory contexts in the UK. The role of love in social work can offer ambitious and transformative possibilities, but ambivalence, contradictions and paradox are evident; there is a need for much more debate and research about its place in the discourses of social work.

The application and value of curved roof in modern architecture

The roof is an essential component of a building and is sometimes referred to the "fifth facade" by modern architects. It serves as a load-bearing element as well as being a significant aspect of the building's overall appearance. Throughout history, architects have often used the roof as a way to express their own distinctive design ideas. The primary area of research covered in this essay is the application and value of curved roofs in modern architecture. The article will start with the development of curved roofs from modern surface architectural design concepts and architectural science and technology, then select actual building cases to analyze the structure of curved roofs, materials, and design concept, and from the building bionic design, the user's space feeling, and the urban environment, the three aspects to explore its unique value in architecture. It is hoped that this will serve as a reference for future architectural design.

Development of climate-based thermal comfort ranges from existing data: Analysis of the Smart Controls and thermal comfort (SCATS) database

Despite the multifaceted nature of notion of thermal comfort, designers have embraced a very strict definition of it, which consists of very tight and static environments, were transition and stimuli are not admitted, and with very narrow ranges of microclimatic parameters required equally for all the subjects. This neglects all the potential implications related to different users. However, when it comes to thermal comfort, the long-term history of subjects and their climatic background play a pivotal role towards their own thermal sensations and preferences. In this work, to address these diversities, the authors analysed the existing database of the Smart Controls and Thermal Comfort (SCATS) project, which was built from monitoring and survey campaigns conducted in the late 90s in five different European countries. Data were studied by means of statistical techniques to grasp and define the potential combined influence of climatic location, seasonal variations, subjective variables and ventilation modes on the occupants’ thermal feeling and preference. Different scenarios recommended by standard EN 16798 were tested to address the differences in the thermal feelings of users living in different European countries. Finally, country-based operative temperatures that optimize users’ thermal feeling and preference were determined. Results highlight that users in different countries differently evaluate indoor thermal parameters both in terms of thermal feeling and thermal preferences. This results in differences among countries for acceptability levels associated with standardised indoor conditions. Furthermore, the results highlight the importance of air movement to improve acceptability at higher indoor temperatures for all the countries.

Water Quality Monitoring Using Physical Web Concept and Alert via Whatsapp Messenger

Abstract: Monitoring water quality plays a crucial role in safeguarding human health, Industrial equipment and aquatic life such as in aquarium. In this research paper we have present a low-cost and unique demonstration of real-time water quality monitoring using physical web concept and alert to user by WhatsApp if water quality is Low. Physical web concept is a broadcast and discovery service in that, smart object broadcasts relevant information that nearby mobile devices can discover to interact with that object. Using physical web user can digitally interact with object and service without much effort that user feels in conventional method of interaction with object. The TDS and Ph is the important factor for the water quality monitoring among the many other factors. This system utilizes the TDS and Ph sensors to measure and monitor the quality of water. The collected quality monitoring data is processed by the ESP32 and make the decision to sends low-quality alert via WhatsApp to designated users. The system aims to provide a reliable and user-friendly solution for monitoring water quality, enabling timely interventions and minimizing risks associated with it using the physical web concept and Internet of Things (IoT)

Attention-Aware Resource Allocation and QoE Analysis for Metaverse xURLLC Services

Metaverse encapsulates our expectations of the next-generation Internet, while bringing new key performance indicators (KPIs). Although conventional ultra-reliable and low-latency communications (URLLC) can satisfy objective KPIs, it is difficult to provide a personalized immersive experience that is a distinctive feature of the Metaverse. Since the quality of experience (QoE) can be regarded as a comprehensive KPI, the URLLC is evolved towards the next generation URLLC (xURLLC) with a personalized resource allocation scheme to achieve higher QoE. To deploy Metaverse xURLLC services, we study the interaction between the Metaverse service provider (MSP) and the network infrastructure provider (InP), and provide an optimal contract design framework. Specifically, the utility of the MSP, defined as a function of Metaverse users’ QoE, is to be maximized, while ensuring the incentives of the InP. To model the QoE mathematically, we propose a novel metric named Meta-Immersion that incorporates both the objective KPIs and subjective feelings of Metaverse users. Furthermore, we develop an attention-aware rendering capacity allocation scheme to improve QoE in xURLLC. Using a user-object-attention level dataset, we validate that the xURLLC can achieve an average of 20.1% QoE improvement compared to the conventional URLLC with a uniform resource allocation scheme.

Unsupervised Cross-Corpus Speech Emotion Recognition Using a Multi-Source Cycle-GAN

Speech emotion recognition (SER) plays a crucial role in understanding user feelings when developing artificial intelligence services. However, the data mismatch and label distortion between the training (source) set and the testing (target) set significantly degrade the performances when developing the SER systems. Additionally, most emotion-related speech datasets are highly contextualized and limited in size. The manual annotation cost is often too high leading to an active investigation of unsupervised cross-corpus SER techniques. In this paper, we propose a framework in unsupervised cross-corpus emotion recognition using multi-source corpus in a data augmentation manner. We introduced Corpus-Aware Emotional CycleGAN (CAEmoCyGAN) including a corpus-aware attention mechanism to aggregate each source datasets to generate the synthetic target sample. We choose the widely used speech emotion corpora the IEMOCAP and the VAM as sources and the MSP-Podcast as the target. By generating synthetic target-aware samples to augment source datasets and by directly training on this augmented dataset, our proposed multi-source target-aware augmentation method outperforms other baseline models in activation and valence classification.

INTELLIGENT MOVIE RECOMMENDER FRAMEWORK BASED ON CONTENT-BASED & COLLABORATIVE FILTERING ASSISTED WITH SENTIMENT ANALYSIS

Recommendation systems for rating movies and forming opinion have grown exponentially in popularity, they make it very convenient for consumers to select films that suit their tastes. However, traditional recommendation systems often rely solely on user ratings or reviews, which may not accurately reflect the user's true feelings about a movie. To address this issue, sentiment analysis has been proposed as a more reliable method for capturing emotional information about movies. In this research paper, we propose a novel movie recommendation system that combines sentiment analysis with collaborative filtering and content-based methods. Our system is designed to provide accurate and timely recommendations to mobile users based on their preferences, reviews, and emotions. We evaluate the performance of our system using real-world data and demonstrate its effectiveness in improving the accuracy and timeliness of movie recommendations. In this research paper, we propose a comparative study of three popular movie recommendation techniques: content-based filtering, collaborative filtering, and sentiment analysis. We aim to evaluate the effectiveness of each approach in providing accurate and personalized movie recommendations. Work done has utilized MovieLens dataset for this study, which is a popular benchmark dataset for assessing movie recommendation systems. The dataset includes almost 100,000 ratings, ranging from 1 to 5, from 943 individuals on 1,682 films. Each rating has a timestamp, a special user ID, and a movie ID. The collection also contains details about each movie's genre. To prepare the dataset for our experiments, we first performed some data cleaning and pre-processing. We removed any duplicate ratings, and any movies or users with a low number of ratings were also removed. We also performed some feature engineering to extract relevant features from the raw data, such as movie genres, user demographics, and movie release dates. Our tests on the Movielens dataset show that the system we've suggested works well. Precision, recall, and F1-score were some of the measures we used to assess the system's performance. We discovered that it performed better than conventional recommendation systems that just use content-based or collaborative filtering techniques. A better user experience was produced with the use of sentiment analysis, which improved the accuracy and promptness of suggestions. Algorithm designed achieves a precision of 0.875, Recall of 0.0435, F1 Score of 0.0828, Accuracy of 0.9889, RMSE of 0.407, and F measure of 0.1813.

Women Safety Enhancement Application

Abstract: The usage of smart phones equipped with GPS navigation unit have increased rapidly from 3% to more than 20% in the past five years. Hence, a smart phone can be used efficiently for personal safety or various other protection purposes especially for women. This app can be activated by a single click when the user feels she is in danger. This application communiqués the user’s location to the registered contacts for every few seconds in the form of message. Thus, it acts like a sentinel following behind the person till the user feels she is safe. This paper presents analysis a unique feature of this application to send the message to the registered contacts continuously till they are pressing ‘HELP’ button. Continuous location tracking information via SMS helps to find the location of the victim quickly and can be rescued safely. This application aims to ensure women safety. This is achieved by addressing the circumstances that compromise the safety of women in today’s day and age. This app ensures women are not put into such situations through various features offered by our system.

A Novel Classical Music Recommendation System Using User Facial Expression

Abstract: In today's world, feelings play an important part in many aspects of life. The spectrum of human feelings, whether or not those sensations are verbalised, serves as the foundation for emotions. A diverse range of emotional expressions can be used to convey a person's sense of individuality. It is possible to infer a person's state of mind simply by observing their facial expressions. This project aims to determine people's feelings based on images of them and then match those feelings with suitable musical selections. The majority of today's most popular music discovery tools make use of a social or content-based recommendation engine of some kind. However, a listener's taste in music is dependent on a variety of factors in addition to their previous listening habits and the subject matter of the songs they hear. The feelings of other users are also important.

Earth quake early warning systems (EEWSs) and their applicability in modern research – a review

Sending alerts or warnings about ground tremors is known as an earthquake early warning system (EEWS). It is issued after the earthquake has already started to cause observable ground motion, setting it apart from the forecast. The interval between detection and the moment a user feels ground motion is known as the available warning time. Therefore, the potential warning window can be anywhere between seconds and minutes. Similarly to this, users must be able to act quickly because only seconds to minutes are available to collect, interpret, and transmit seismological data and warning signals. By reviewing previously published, high--quality literature, the review article offers clear insight into EEWSs and how they operate. This will support researchers in understanding the current technologies used to send signals to save lives from earthquakes at the appropriate time. The effects of earthquakes and how they have been tracked using EEWSs are also covered in the article.

Multidimensional analysis of city images and basic information of respondents in multi-areal scale of mega city

ABSTRACT With the rapid development of urbanization, Wuhan has gradually developed into a mega city, and the city image has also changed. The main purpose of this study is to explore the differences in different dimensions of respondents’ attitudes towards city image in different areas of Wuhan and analyze the relationship between respondents’ basic information and attitude evaluation. Explore the development status of mega city image to better understand the feelings of urban users and guide the development direction of mega city image in the future. We used the questionnaire method to collect the basic information of the respondents and the evaluation data of the city image in the three dimensions and used SPSS to carry out descriptive statistics, correlation analysis and ANOVA analysis on the data. Through analysis of the data, we can get that different basic information of the respondents leads to different attitudes towards city images. Basic information of respondents is significantly correlated with the attitude towards city images. The differences between the rational planned new town with industrial production as its function and other areas are the largest in liking degree and familiarity degree, but there is no significant difference in the attitude of importance degree.

Designing Personas for E-Resources Users in the University Libraries

Persona is a method to create a user profile by describing a fictitious user through user experience. This persona study needs to be carried out for the benefit of system design according to the users’ wishes because, so far, electronic resources (e-resources) are not widely used due to cognitive and affective factors such as limited subscription resources, limited user manuals, limited navigation features, and frequent errors when using electronic resources. This leaves the user feeling confused and stressed. The aim of this study is to obtain profiles of e-resource users in college libraries. The method used is an empathy map created with data from 32 users who answered questionnaires and participated in interviews. This study found four e-resource user personas in university libraries: lecturers, students, research assistants, and librarians. Users want a guide for using electronic resources that allows for chat and sharing, and which is fun and can be accessed from any device anytime and anywhere. The benefits of this study will be useful for designing e-resource systems according to users’ wishes.

Applying the Think-Aloud Method for Usability Analysis in the Peking Metagamelan Virtual Reality Learning Application

The rapid development of technology affects people’s lives, including education, and virtual reality is one of many digital learning media that can be useful for learning. Virtual reality allows users to interact with the environment through a virtual world. With this concept in mind, an application to support gamelan learning based on Virtual Reality was developed called Peking Metagamelan Virtual Reality. Peking is a gamelan instrument made of bronze with rectangular blades. This application needs to know the user’s opinion regarding its performance and usability in its development. Therefore, the Think-aloud method assisted in the usability analysis process in the VR Metagamelan Peking application. The Think-aloud approach helps to express what the user feels and thinks when using the application. The research process involved five respondents from various educational backgrounds and different experiences. Respondents were asked to work on several task scenarios that were ordered. During the task scenario, respondents were asked to convey their thoughts regarding the application they were trying. The results were then analyzed and produced some recommendations for further improvements to the VR Metagamelan Peking application. The recommendations included improving the application interface, adding several features, and reducing the character’s speed.

Application of Technology Acceptance Model in Testing of Regional Financial Information System

New Public Management emerged as a new paradigm that was a draft reform towards good governance. Good Governance can be achieved if public sector governance and public sector performance, each of which is a well-implemented financial transparency and accountability, are implemented. The purpose of this study was to determine the influence of Perceive Ease of Use and Useful Peerceived on the acceptance of Regional Financial Information Systems (RIFS). This research is conducted by quantitative analysis methods. The population in this study was all users of the Regional Financial Information System in Jeneponto Regency with a total of 44 users using saturated sample techniques. Data is analyzed using data quality tests, classical assumption tests and hypothesis tests. The results of the study showed that the RIFS revenue in the Jeneponto District Government Agency was influenced by the user's perception of the ease of use of information systems. In this case the state civil apparatus either as a financial operator or treasurer in the working area of the Jeneponto District Government agency. Simultaneously the perception of ease of use and usefulness affects the acceptance of RIFS. In this case the operator / user feels that RIFS is easy to use and useful in doing the job.

Metaphors in Minangkabau Language: Meaning Shift and Change

Metaphor is a tool to explain the nature of shifts and changes in meaning because it is able to serve the thoughts and feelings of language users. Metaphor serves as a source of strong motivation to express such thoughts and feelings and becomes expressive means of language. Not all meanings can be conveyed literally, and if speakers feel that there are no words with literal meaning available, they will convey the meaning figuratively which can be more captivating to the listener's attention or can bring out complexities that cannot be done in other ways. Minang native speakers consider settlement in the outside of deliberation to be bad. To avoid disputes, they must be good at finding and uttering expressions whose meanings are different from the sentences that are said, so, they do not immediately feel offended or humiliated. The utterance in (8) means ‘to clean village from all threats and disturbance.’ The analogy of red in (10) refers to saga fruit and the sentential meaning of (11) is associated to a person who has capability to posit him-/her-self. Meanwhile, the sentence in (13) might mean ‘what is hoped appears.’ There are similarities in the nature of animals equated with human character, for example, in Minang, the phrases pipik andak menjadi elang ‘the sparrow wants to be an eagle’ and gajah dilulue ular lidih ‘elephant is wrapped around by a small snake’ refer to a weak against a strong person or can be described as a person who is not aware of his abilities. Keywords: Metaphor, ontological, structural, inference, Minangkabau, meaning shift and change

Green Physical Activity Indicator: Health, Physical Activity and Spending Time Outdoors Related to Residents Preference for Greenery.

Spending time in the natural outdoor environment is a part of a healthy lifestyle. This study focused on identifying elements of green infrastructure that have a positive impact on both increasing physical activity, spending time outdoors and improving overall health. The aim of the research was to identify which elements of the settlement units' green and blue infrastructure, related to residents' preferences for greenery, influence more physical activity and spending time in green spaces and improve the healthy feeling of users as perceived by respondents. A total of 721 respondents from Poland took part in the survey. Using multiple regression models, the factors that influence an increase in outdoor physical activity Green Physical Activity Index (GPAI) were: using green spaces for exercise, spending time outdoors, exposure to nature and sufficiently large amounts of green space in the neighborhood and proximity to places to walk the dog. In contrast, physical activity has been shown to improve feeling healthy (health declaration). The main findings show that the increase in physical activity outdoors (GPAI) is positively influenced by factors related to respondents' reasons for being outdoors, rather than the attractiveness and availability of green infrastructure. The research confirmed the necessity of arranging green areas with rich offerings in terms of a variety of activities for leisure visitors, to give them more opportunities for being outdoors.

Penerapan Teori Perilaku Informasi Menurut Kulthau di Perpustakaan

Information seeking behavior refers to patterns of human behavior related to the nature of information, both in terms of using and seeking information. The term "behavior" refers to how a person obtains information through his behavior. The Kulthau literature review method is used in this paper. According to Kulthau, information seeking behavior has several characteristics, including initiation, which is the initial stage where users are aware of their information needs, selection, where users begin to collect the information topics needed and then look for them through OPAC, browse directly to shelves or by asking users. At this point, the user is confused because he has to decide which information best suits his needs. formulation At this point, the user has determined which information best meets his needs. Users collect information that has been obtained and recorded in books, cellphones, or by taking pictures at this stage, and the last presentation is the user's feelings of satisfaction and dissatisfaction after getting information in the library.
 Keywords: information seeking behavior, kulthau, library

Development of Hardness Test Device for Determination of Comfort Parameters in Pillows and Experimental Study of Hardness Measurement

People spend a third of their lives asleep. A good night's sleep is a key to waking up pain-free, while providing an excellent opportunity to rest. Pillows are indispensable objects for a comfortable sleep. Sleeping position and personal preferences influence on the type of pillow a person need. However, there is no mutual language for the perception of comfort. This study focuses on the experimental study of the hardness measurement process to establish an objective method for evaluating pillow hardness and to examine the relationship between sensory evaluation and compression properties of pillows. In order to determine the comfort and pillow hardness parameters, studies on various fields and products were examined. A machine that measures and defines the compression amount of the pillow and the height data obtained by applying a certain force to the entire surface of the pillow has been designed. Pillows with different properties and weights were tested and the height values after applying the force were processed within the data obtained from the machine. By determining the limit and mean values, the pillows were categorized as soft, medium-soft, medium, medium-hard and hard. As a consequence of this study, through the developed hardness measurement method, product classifications were made and the user's feeling on pillow hardness was observed.