scholarly journals An Investigation of Lexical Cohesion on Indonesian Singer Song

2021 ◽  
Vol 7 (1) ◽  
pp. 15-23
Author(s):  
Ahmad Murodi ◽  
Didin Nuruddin Hidayat ◽  
Alek Alek
Keyword(s):  
Discourse Analysis ◽  
Real Data ◽  
The Real ◽  
Lexical Cohesion ◽  
Descriptive Qualitative

This paper sheds light on investigating the lexical cohesion on an Indonesian singer song entitled Coke Bottle by Agnez Mo. Lexical cohesion constitutes linguistic devices that help to create cohesiveness of the text. Lexical cohesion occurs when two words or more in a text are semantically related somehow – in other words, they are related in terms of their meaning. This study's design was a descriptive qualitative that attempted to elaborate the discourse analysis about lexical cohesion in Coke Bottle song by Agnez Mo. Some steps were conducted to collect the data, firstly, the lyrics that become the documentation were collected by the researcher from lyrics.com, secondly the researcher read the lyrics to understand the text. Thirdly, marking some words included as lexical cohesions in which they will be the real data of this study. The findings revealed that reiteration and collocation are found in the song, but the antonym that is part of reiteration is absent. Above all, repetition is the most commonly used in this song, especially the word I. This seems to indicate that the songwriter tried to make the song's lyrics match the music's beat, so the song became easy listening, and the listeners can enjoy the music.  

scholarly journals AN ANALYSIS OF ENDOPHORIC REFERENCE COHESION DEVICES IN MARK ZUCKERBERG BIOGRAPHY

2019 ◽  
Vol 2 (2) ◽  
pp. 222
Author(s):  
Melani Siti Khalifah ◽  
Juan Carlina Wibowo ◽  
Cynantia Rachmijati
Keyword(s):  
Qualitative Research ◽  
Discourse Analysis ◽  
Research Design ◽  
Lexical Cohesion ◽  
Qualitative Research Design ◽  
Cohesive Devices ◽  
The Subject ◽  
In The Beginning ◽  
The Relationship ◽  
Descriptive Qualitative

The aim of the research is to find out endophoric references in Mark Zuckerberg biography and the relationship between discourse analysis and pragmatic. The research used descriptive qualitative research design. The data obtained from Mark Zuckerberg biography written by the biography website. The data are analyzed using Halliday & Hasan’s theory (1976) of reference cohesion reference is one of the cohesive devices. The result shows that endophoric reference exists in Mark Zuckerberg biography endophoric. Endophoric consist of two types, the first is anaphoric and the second is cataphoric. In this research there are five type cohesive devices that are usually used in texts like substitution, references, ellipsis, lexical cohesion, and conjunctions. In the research found that cataphoric is dominant than anaphoric because the subject is located in the beginning of the sentences. Cohesive devices not only focused on lexical cohesion, but also focused on ellipsis and substitution and reference.

scholarly journals Emotions Evoked from “Too Good at Goodbyes” Song by Sam Smith

2020 ◽  
Vol 1 (2) ◽  
pp. 101-112
Author(s):  
Febriana Aminatul Khusna ◽  
Sekar Lathifatul Aliyah
Keyword(s):  
Qualitative Research ◽  
Real Data ◽  
The Real ◽  
Valid Data ◽  
Sad Music ◽  
Descriptive Qualitative

Music is one means to express the soul. Sad genre music is one of music with high emotional pressure. High emotional pressure allows triggering emotions in someone who hears it. According to Sloboda and Juslin (2001), the music can induce emotions in its listeners and is perceived by listeners as expressive of emotion. The aim of this study was to investigate the influence of music with the sad genre for emotions from the song "Too Good at Goodbyes" by Sam Smith. In this study, the researchers found that the majority of respondents revealed that sad music can trigger emotions in the soul. Descriptive qualitative research with questionnaire methods was used in this study to obtain the valid data. Questionnaire was used in this research as an instrument of research to get the real data from the participants.

ANALISIS KOHESI DAN KOHERENSI WACANA DALAM BERITA ONLINE BERBAGI PAKET SEMBAKO UNTUK KAUM DHUAFA DI JAWA POS RADAR BOJONEGORO EDISI 11 MEI 2019

2019 ◽  
Vol 1 (01) ◽  
pp. 58-67
Author(s):  
Suci Armala
Keyword(s):  
Discourse Analysis ◽  
Data Collection ◽  
Reasons For Action ◽  
Lexical Cohesion ◽  
Analysis Techniques ◽  
Discourse Coherence ◽  
The Poor ◽  
Food Packages ◽  
Qualitative Descriptive ◽  
Descriptive Approach

Cohesion and coherence in discourse play a role in forming a wholeness in the discourse itself, both discourse and writing. One of the written discourses is the news in the Jawa Pos newspaper, which is the distribution of basic food packages breaking the fast of Ramadhan for the poor in the Tuban area held by PT. PJB UBJOM PLTU Tanjung Awar-awar, in this news is thought to contain elements of cohesion and coherence. This study uses a qualitative descriptive approach and discourse analysis techniques. The data obtained contains cohesion and coherence. In this data collection, namely by listening to the news and recording it. The results of this study include grammatical cohesion, lexical cohesion and its coherence. Grammatical cohesion includes reference cohesion, recovery cohesion, release cohesion and liaison cohesion. In addition to cohesion there is also coherence that is like the coherence of the means of purpose, the coherence of reasons for action, the coherence of the meaning of reason and so forth. With the discovery of the use of cohesion and discourse coherence in Jawa Pos news.

REVITALISASI BUDAYA LOKAL SEBAGAI DASAR PENGEMBANGAN KEILMUAN BERDASARKAN VISI DAN MISI PERGURUAN TINGGI DI INDONESIA

2019 ◽  
Vol 5 (1) ◽  
Author(s):  
Yanuar Bagas Arwansyah
Keyword(s):  
Discourse Analysis ◽  
Critical Discourse Analysis ◽  
Michel Foucault ◽  
Critical Discourse ◽  
Local Culture ◽  
Discourse Function ◽  
Cultural Domination ◽  
Theory Of Discourse ◽  
Descriptive Qualitative

Abstrak: Artikel ini bertujuan menganalisis secara kritis visi dan misi 10 perguruan tinggi terbaik di Indonesia versi 4 International Colleges & Universities. Metode yang digunakan dalam penelitian ini yaitu deskriptif kualitatif. Penelitian ini merupakan analisis wacana kritis yang mengacu pada teori Michel Foucault. Teori analisis wacana Foucault mengacu pada wacana sebagai alat bagi kepentingan kekuasaan, hegemoni, dominasi budaya, dan ilmu pengetahuan. Berdasarkan hasil analisis ditemukan bahwa visi dan misi 10 perguruan tinggi tersebut mengandung unsur-unsur yang sejalan dengan fungsi wacana menurut Foucault. Hal tersebut didasari pada visi dan misi setiap perguruan tinggi yang memiliki tujuan mengembangkan institusi berkelas internasional, namun tetap dengan berdasar pada pengembangan ilmu pengetahuan yang berakar pada budaya lokal. Kata kunci: wacana, visi, misi, perguruan tinggi Abstract: This article aims to critically analyze the vision and mission of the 10 best universities in Indonesia version of 4 International Colleges & Universities. The method used in this study is descriptive qualitative. This research is a critical discourse analysis that refers to Michel Foucault's theory. Foucault's theory of discourse analysis refers to discourse as a tool for the interests of power, hegemony, cultural domination, and science. Based on the results of the analysis it was found that the vision and mission of the 10 universities contained elements that were in line with the discourse function according to Foucault. This is based on the vision and mission of each college that has the aim of developing international-class institutions, but still based on the development of science rooted in local culture. Keywords: discourse, vision, mission, college

Single Depth View Based Real-Time Reconstruction of Hand-Object Interactions

2021 ◽  
Vol 40 (3) ◽  
pp. 1-12
Author(s):  
Hao Zhang ◽  
Yuxiao Zhou ◽  
Yifei Tian ◽  
Jun-Hai Yong ◽  
Feng Xu
Keyword(s):  
Real Time ◽  
Synthetic Data ◽  
Real Data ◽  
Depth Image ◽  
Real Time System ◽  
The Real ◽  
Time Performance ◽  
Contact Constraint ◽  
Object Shapes ◽  
Object Interactions

Reconstructing hand-object interactions is a challenging task due to strong occlusions and complex motions. This article proposes a real-time system that uses a single depth stream to simultaneously reconstruct hand poses, object shape, and rigid/non-rigid motions. To achieve this, we first train a joint learning network to segment the hand and object in a depth image, and to predict the 3D keypoints of the hand. With most layers shared by the two tasks, computation cost is saved for the real-time performance. A hybrid dataset is constructed here to train the network with real data (to learn real-world distributions) and synthetic data (to cover variations of objects, motions, and viewpoints). Next, the depth of the two targets and the keypoints are used in a uniform optimization to reconstruct the interacting motions. Benefitting from a novel tangential contact constraint, the system not only solves the remaining ambiguities but also keeps the real-time performance. Experiments show that our system handles different hand and object shapes, various interactive motions, and moving cameras.

scholarly journals Text Cohesion in English Scientific Texts Written by Saudi Undergraduate Dentistry Students: A Multimodal Discourse Analysis of Textual and Logical Relations in Oral Biology Texts

SAGE Open ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 215824402110321
Author(s):  
Hesham Suleiman Alyousef
Keyword(s):  
Discourse Analysis ◽  
Undergraduate Students ◽  
Meaning Making ◽  
Linguistic Knowledge ◽  
Bachelor Of Science ◽  
Lexical Cohesion ◽  
Multimodal Discourse Analysis ◽  
Multimodal Discourse ◽  
Cohesive Devices ◽  
Analysis Scheme

This qualitative study examined multimodal cohesive devices in English oral biology texts by eight high-achieving Saudi English-as-a-foreign-language students enrolled in a Bachelor of Science Dentistry program. A Systemic Functional Multimodal Discourse Analysis (SF-MDA) of the textual and logical cohesive devices in oral biology texts was conducted, employing Halliday and Hasan’s cohesion analysis scheme. The findings showed that students used varied cohesive devices: lexical cohesion, followed by reference and conjunctions. Although ellipsis was minimally employed in the oral biology texts, its discipline-specific uses emerged: the use of bullet points and numbered lists that facilitate recall. The SF-MDA of cohesion in multimodal semiotic resources highlighted the processes underlying construction of conceptual and linguistic knowledge of cohesive devices in oral biology texts. The results indicate that oral biology discourse is interdisciplinary, including a number of subfields in biology. The SF-MDA of pictorial oral biology representations indicates that they include instances of cohesive devices that illustrate and complement verbal texts. The results indicate that undergraduate students need to be provided with a variety of multimodal high-cohesion texts so that they can successfully extend underlying conceptual and logical meaning-making relations.

scholarly journals A fractional order epidemic model for the simulation of outbreaks of Ebola

2021 ◽  
Vol 2021 (1) ◽  
Author(s):  
Weiqiu Pan ◽  
Tianzeng Li ◽  
Safdar Ali
Keyword(s):  
Numerical Solution ◽  
Root Mean Square ◽  
Fractional Order ◽  
Relative Error ◽  
Numerical Solutions ◽  
Real Data ◽  
Mean Square ◽  
Order Model ◽  
The Real ◽  
Fractional Orders

AbstractThe Ebola outbreak in 2014 caused many infections and deaths. Some literature works have proposed some models to study Ebola virus, such as SIR, SIS, SEIR, etc. It is proved that the fractional order model can describe epidemic dynamics better than the integer order model. In this paper, we propose a fractional order Ebola system and analyze the nonnegative solution, the basic reproduction number $R_{0}$ R 0 , and the stabilities of equilibrium points for the system firstly. In many studies, the numerical solutions of some models cannot fit very well with the real data. Thus, to show the dynamics of the Ebola epidemic, the Gorenflo–Mainardi–Moretti–Paradisi scheme (GMMP) is taken to get the numerical solution of the SEIR fractional order Ebola system and the modified grid approximation method (MGAM) is used to acquire the parameters of the SEIR fractional order Ebola system. We consider that the GMMP method may lead to absurd numerical solutions, so its stability and convergence are given. Then, the new fractional orders, parameters, and the root-mean-square relative error $g(U^{*})=0.4146$ g ( U ∗ ) = 0.4146 are obtained. With the new fractional orders and parameters, the numerical solution of the SEIR fractional order Ebola system is closer to the real data than those models in other literature works. Meanwhile, we find that most of the fractional order Ebola systems have the same order. Hence, the fractional order Ebola system with different orders using the Caputo derivatives is also studied. We also adopt the MGAM algorithm to obtain the new orders, parameters, and the root-mean-square relative error which is $g(U^{*})=0.2744$ g ( U ∗ ) = 0.2744 . With the new parameters and orders, the fractional order Ebola systems with different orders fit very well with the real data.

Petrophysical Facies Classification Based on Fuzzy Inference Networks

2013 ◽  
Vol 634-638 ◽  
pp. 4017-4021
Author(s):  
Jun Hui Pan ◽  
Hui Wang ◽  
Xiao Gang Yang
Keyword(s):  
Fuzzy Inference ◽  
Fuzzy Reasoning ◽  
Real Data ◽  
Analysis Data ◽  
Classification Model ◽  
Core Analysis ◽  
Development Zone ◽  
The Real ◽  
Facies Classification ◽  
Quantitative Indicators

Aiming at the petrophysical facies recognition, a novel identification method based on the weighted fuzzy reasoning networks is proposed in the paper. First, the types and indicators are obtained from core analysis data and the results given by experts, and then the standard patterning database of reservoir petrophysical facies is established. Secondly, by integrating expert experiences and quantitative indicators to reflect the change of petrophysical facies, the classification model of petrophysical facies based on the weighted fuzzy reasoning networks is designed. The preferable application results are presented by processing the real data from the Sabei development zone of Daqing oilfield.

scholarly journals Optimal Temperature-Based Condition Monitoring System for Wind Turbines

2021 ◽  
Vol 6 (4) ◽  
pp. 50
Author(s):  
Payam Teimourzadeh Baboli ◽  
Davood Babazadeh ◽  
Amin Raeiszadeh ◽  
Susanne Horodyvskyy ◽  
Isabel Koprek
Keyword(s):  
Monitoring System ◽  
Wind Turbines ◽  
Wind Farm ◽  
Measurement Data ◽  
Real Data ◽  
Offshore Wind ◽  
Risk Indicator ◽  
Real World Data ◽  
The Real ◽  
Data Driven Modeling

With the increasing demand for the efficiency of wind energy projects due to challenging market conditions, the challenges related to maintenance planning are increasing. In this paper, a condition-based monitoring system for wind turbines (WTs) based on data-driven modeling is proposed. First, the normal condition of the WTs key components is estimated using a tailor-made artificial neural network. Then, the deviation of the real-time measurement data from the estimated values is calculated, indicating abnormal conditions. One of the main contributions of the paper is to propose an optimization problem for calculating the safe band, to maximize the accuracy of abnormal condition identification. During abnormal conditions or hazardous conditions of the WTs, an alarm is triggered and a proposed risk indicator is updated. The effectiveness of the model is demonstrated using real data from an offshore wind farm in Germany. By experimenting with the proposed model on the real-world data, it is shown that the proposed risk indicator is fully consistent with upcoming wind turbine failures.

An improved method to estimate Q based on the logarithmic spectrum of moving peak points

2019 ◽  
Vol 7 (2) ◽  
pp. T255-T263 ◽  
Author(s):  
Yanli Liu ◽  
Zhenchun Li ◽  
Guoquan Yang ◽  
Qiang Liu
Keyword(s):  
Seismic Waves ◽  
Wave Attenuation ◽  
Real Data ◽  
Peak Frequency ◽  
Seismic Reflection Data ◽  
The Real ◽  
Time Frequency ◽  
Reflection Data ◽  
Text Filtering ◽  
The Impact

The quality factor ([Formula: see text]) is an important parameter for measuring the attenuation of seismic waves. Reliable [Formula: see text] estimation and stable inverse [Formula: see text] filtering are expected to improve the resolution of seismic data and deep-layer energy. Many methods of estimating [Formula: see text] are based on an individual wavelet. However, it is difficult to extract the individual wavelet precisely from seismic reflection data. To avoid this problem, we have developed a method of directly estimating [Formula: see text] from reflection data. The core of the methodology is selecting the peak-frequency points to linear fit their logarithmic spectrum and time-frequency product. Then, we calculated [Formula: see text] according to the relationship between [Formula: see text] and the optimized slope. First, to get the peak frequency points at different times, we use the generalized S transform to produce the 2D high-precision time-frequency spectrum. According to the seismic wave attenuation mechanism, the logarithmic spectrum attenuates linearly with the product of frequency and time. Thus, the second step of the method is transforming a 2D spectrum into 1D by variable substitution. In the process of transformation, we only selected the peak frequency points to participate in the fitting process, which can reduce the impact of the interference on the spectrum. Third, we obtain the optimized slope by least-squares fitting. To demonstrate the reliability of our method, we applied it to a constant [Formula: see text] model and the real data of a work area. For the real data, we calculated the [Formula: see text] curve of the seismic trace near a well and we get the high-resolution section by using stable inverse [Formula: see text] filtering. The model and real data indicate that our method is effective and reliable for estimating the [Formula: see text] value.

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