Linear Analysis Method Research Articles

Normalization Method as a Potent Tool for Grasping Linear and Nonlinear Systems in Physics and Soil Mechanics

To address physical problems that require solving differential equations, both linear and nonlinear analytical methods are preferred when possible, but numerical methods are utilized when necessary. In this study, the normalization technique is established, which is a simple mathematical approach that requires only basic manipulation of the governing equations to obtain valuable information about the solution. The methodology of this technique involves adopting appropriate references to obtain the dimensionless form of the governing equation, after which the terms of the equation are balanced, obtaining the dimensionless monomials governing the solution. Thorough knowledge of the physical processes involved is necessary to find the best references. The main advantages of this technique are the simplicity of the methodology, the acquisition of valuable information about the solution without the need for complex mathematical calculations, and its applicability to nonlinear problems. However, it is important to consider the difficulty in selecting appropriate references in more complex scenarios. This study applies this normalization methodology to different scenarios, showing how choosing appropriate references lead to the independent dimensionless monomials. Once obtained, it was possible to identify different situations concerning the value of monomials. It will be when they are close to unity, and therefore normalized, when they fundamentally affect the solution of the problem. Finally, we present two cases, one linear and one complex, about the application of normalization to the challenging problem of soil consolidation in ground engineering, illustrating how the technique was used to obtain the solution and its many advantages.

High-Dimensional Feature Space for Diabetes Diagnosis and Identification of Diabetic-Sensitive Features in Ayurvedic Nadi Signals

Nadi-based disease diagnosis is a traditional art in Ayurvedic medicine that is an inquisitive yet not widely comprehended subject. A collection of higher dimensional features from a preprocessed Nadi dataset was extracted and analyzed to diagnose diabetes. The t-distributed Stochastic Neighbor Embedding was used to visualize the higher dimensional feature space in 2-D. The linear dimensionality reduction method of Principal Component Analysis and several linear and nonlinear classifiers were tested on the reduced feature space in identifying diabetes. The key outcomes of this paper are the ability to reduce the feature space by 73.33% while retaining a classification accuracy of 95.4%, identifying age as a compounding factor in diagnosis, and extracting the diabetes-sensitive features with eigenvalue loading.

Alternative linear dynamic analysis method for gas foil bearing rotor systems using bearing [formula omitted]-domain impedance

Linear dynamic analysis of bearing rotor systems is a basic content of system design. For gas foil bearings (GFBs), the force coefficients method remains the most popular method in engineering practice. However, applying the force coefficients method in the modal analysis of damped free vibrations gives inaccurate modal parameters and, more importantly, leads to missing some important modes. This paper proposes a new linear dynamic analysis method using bearing s-domain (complex frequency-domain) impedance. The bearing s-domain impedance matrix is derived for the first time to characterize the linear dynamic characteristics of GFBs. Then, the linear dynamic analysis method of the GFB rotor system using bearing impedance is presented. The standard eigenvalue problem can be established based on the state–space representation of the bearing impedance matrix. It is found that the combined complex form of force coefficients is the bearing impedance evaluated on the imaginary axis in the s-plane, and the bearing impedance can be identified using the force coefficient data. This makes the proposed method possess the main advantage of the force coefficients method. The proposed method has no inherent error because the state variables relating to gas film and foil are preserved. The error only comes from the impedance fitting process and is controllable. Numerical examples have verified the effectiveness of the proposed method. This method can serve as an alternative to the force coefficients method.

System Modeling and Simulation for Investigating Dynamic Characteristics of Geared Symmetric System Based on Linear Analysis

Complex vibrational phenomena, such as gear impacts and mesh stiffness excitations, often require a significant amount of effort to be revealed using nonlinear analytical methods. However, key parameters for addressing vibrational problems can often be identified through simplified approaches based on linear analysis models. In light of these considerations, this study aimed to propose linear analytical methods to investigate the influences of various key parameters within symmetric systems. To achieve the main goal of this study, system modeling and eigensolutions were first implemented, focusing on a specific manual transmission with a front-engine/front-wheel configuration. Second, analytical techniques to reduce the number of degrees of freedom from the original symmetric system were suggested, and the reduced model was validated. Third, the system responses in the time domain were examined, along with key system parameters, such as gear mesh stiffness and clutch dampers, using state–variable equations. As a result, the findings from the linear system model demonstrated the fundamental dynamic characteristics of the torsional system within specific frequency regimes relevant to noise and vibration problems. Furthermore, the reduced lumped linear model employing the state–variable formula established its reliability in determining key parameters for mitigating noise and vibration problems.

Pengaruh Profitabilitas, Solvabilitas, Likuiditas Dan Size Terhadap Harga Saham Pada Perusahaan Manufaktur Sektor Industri Barang Konsumsi Yang Terdaftar Di Bursa Efek Indonesia (Bei) Periode 2016-2021

This research was prepared with the aim of testing and analyzing the effect of Profitability, Solvency, Liquidity and Size on stock prices in Manufacturing Companies in the consumer goods sector that have been listed on the Indonesia Stock Exchange (IDX) in the period 2016 to 2021. The method used by researchers is purposive sampling with the criteria for company data during the period 2016 to 2021, has positive profits, has never been suspended. The sample used consists of 191 data on consumer goods industry companies listed on the Indonesia Stock Exchange between 2016 and 2021. The Multiple Linear Analysis method is used by researchers in analyzing data and processed using SPSS 25. The results of this study indicate that, profitability (X1), solvency (X2) and liquidity (X3) cannot affect stock prices (Y). Meanwhile, size has a negative influence on stock prices.
 Keywords: Profitability, Solvency, Liquidity, Size, Stock Price

Modulation instability, bifurcation analysis and solitonic waves in nonlinear optical media with odd-order dispersion

In this paper, modulation instability, bifurcation analysis, and soliton solutions are investigated in nonlinear media with odd-order dispersion terms. A generalized nonlinear Schrödinger equation with fourth-order dispersion and cubic-quintic nonlinearity is considered. A linear analysis method is used to derive an expression of the modulation instability spectrum, and the effects of the fourth-order and group velocity dispersion are pointed out on the modulation instability bands. The results show that for negative values of the fourth order in a normal dispersion regime, the modulation instability vanishes. Another important aspect is revealed when the fourth-order dispersion gets positive and has high values; additional bands emerge to enlarge the bandwidths of the modulation instability. To further confirm the effects of the odd-order dispersion in the nonlinear structure, the bifurcation, phase portraits, and chaotic behaviors have been investigated to show how instability arises in the nonlinear structure. Using numerical simulation, in particular the Runge-Kutta algorithm, the sensitivity of nonlinear systems is pointed out to confirm an unstable behavior. This investigation confirms once again the fact that the modulation spectrum is sensitive to higher-order dispersion in normal and anomalous dispersion regimes. A traveling wave hypothesis is employed to lead to the direct integration of the nonlinear system, and some specific soliton solutions are extracted. For particular constraint conditions on the discriminant, bright and dark solitons as well as Jacobi elliptic function solutions emerge. The obtained results could be used to improve the transmission signal via the optical fiber and secure the data in communication systems.

Efektivitas Penerapan Sistem Elektronifikasi Transaksi terhadap Penyerapan Belanja Barang dan Jasa pada Sekretariat Daerah Kota Palembang


 This study aims to analyze the Effectiveness of the Implementation of the Transaction Electronification System on the Absorption of Goods and Services Expenditures at the Palembang City Regional Secretariat. This type of research is quantitative research. The sample used in this study amounted to 47 civil servants in the financial planning section of the Palembang City Regional Secretariat. The type of data used is primary data with a simple linear analysis method. The sampling technique used saturated sampling technique. The results of this study indicate that the variable Effectiveness of Transaction Electronification System Implementation has a positive and significant effect on the variable Absorption of Goods and Services Expenditure. 
 Keywords: Effectiveness, Transaction Electronification System, Goods and Services Expenditure

Solitons in a coupled system of fractional nonlinear Schrödinger equations

Interest in physical systems with fractional derivatives has exploded in the 21st century. Similarly, interest in the localized excitations of nonlinear dynamical systems continues to grow significantly in recent times. In this work, we demonstrate the existence of localized solutions in the nonlinear system of three coupled Schrödinger equations with fractional dispersion, linear coupling, and cubic nonlinearities. We then check the stability of these localized solutions, i.e., solitons, by utilizing the linear stability analysis method and by propagating the perturbed solutions using the split-step fast-Fourier beam propagation method. We also prove that the solitary solutions can be stabilized in this system, thanks to the confining influence of the cross-phase modulation effect. The system is set with the same cross-phase modulation parameter but different self-phase modulation coefficients. We further find that the Lévy index (LI), the propagation constant, and the cross-phase modulation effect markedly affect the profiles and the stability domains of the solitons in the three-coupled system. Furthermore, the amplitude of the component with the strongest self-phase modulation is the largest among the three components, and the variation of the LI, the propagation constant, or the cross-phase modulation coefficient does not affect much this result. Besides the common perturbed propagation, the propagation with modulated LI is also investigated in this work, displaying increased instability when the LI is modulated suddenly, as opposed to stable propagation when the change in the LI is gradual.

A Deep Learning Model for Correlation Analysis between Electroencephalography Signal and Speech Stimuli.

In recent years, the use of electroencephalography (EEG) has grown as a tool for diagnostic and brain function monitoring, being a simple and non-invasive method compared with other procedures like histological sampling. Typically, in order to extract functional brain responses from EEG signals, prolonged and repeated stimuli are needed because of the artifacts generated in recordings which adversely impact the stimulus-response analysis. To mitigate the artifact effect, correlation analysis (CA) methods are applied in the literature, where the predominant approaches focus on enhancing stimulus-response correlations through the use of linear analysis methods like canonical correlation analysis (CCA). This paper introduces a novel CA framework based on a neural network with a loss function specifically designed to maximize correlation between EEG and speech stimuli. Compared with other deep learning CA approaches (DCCAs) in the literature, this framework introduces a single multilayer perceptron (MLP) network instead of two networks for each stimulus. To validate the proposed approach, a comparison with linear CCA (LCCA) and DCCA was performed, using a dataset containing the EEG traces of subjects listening to speech stimuli. The experimental results show that the proposed method improves the overall Pearson correlation by 10.56% compared with the state-of-the-art DCCA method.

Assessing the nutritional equivalency of DL-methionine and L-methionine in broiler chickens: a meta-analytical study

The purpose of this study was to perform a meta-analysis comparing the biological efficiency of DL-methionine and L-methionine (DL-Met and L-Met) in broiler nutrition. This analysis was based on a dataset comprising experiment results published in peer-reviewed papers since 2007. All experiments investigated the response of broilers (aged 0-21 d) to different dietary concentrations of DL- and L-Met, achieved by supplementing crystalline Met. A graphical analysis was conducted on the database using ellipses coverage and nonparametric density techniques. Two methods of linear and nonlinear exponential meta-regression analysis were used to determine relative bioavailability based on average daily gain (ADG) and feed conversion ratio (FCR) responses to dietary Met sources. The analyses of ADG and FCR obtained from both linear and exponential models showed a relative difference between the tested methionine sources. The results showed that both ADG and FCR were improved in L-Met compared to DL-Met supplemented diets. Linear regression analysis revealed that DL-Met was 94.97% (for ADG) and 95.63% (for FCR) as efficacious as L-Met (P < 0.01). In contrast, the analysis of the fitted nonlinear exponential model showed that the biological efficiencies of DL-Met were 91.33% and 76.57% of the values for L-Met for ADG (P=0.01) and FCR (P=0.09), respectively. Based on the meta-analytical results, an equivalence of relative biological efficiency of DL-Met in comparison with L-Met for young broilers could not be confirmed.

ANALISIS DAMPAK PEMASARAN MEDIA SOSIAL TERHADAP MINAT BELI LAYANAN DISNEY+ HOTSTAR DI KOTA BANDUNG

&lt;p align="justify"&gt;One of the developments that have emerged in the 21st century is development of the digital age with internet use. Internet users in Indonesia experienced a significant increase in the era of Covid-19 pandemic period. One the increasing use of the internet in Indonesia is dominated using social media which is a way of getting information from text or picture of information that is given. Other than that, social media marketing also used by businesspeople to introduce their brands to a potential consumer. One of the business companies that uses social media to introduce their products is Disney+ Hotstar. The purpose of this research is to tell the effect of Social Media Marketing on Purchase Intention on Disney+ Hotstar Services in Bandung. This study uses quantitative with descriptive analysis, and population used in this research is Bandung city residents who used social media and known or used Disney+ Hotstar services. The sampling technique used was snowball sampling with 100 respondents. Using simple linear regression data analysis method with SPSS 27 for MAC. From the social media marketing hypothesis on purchase intention, the result is what it has a t-count value of 7,935 &amp;gt; t table value of 1,660 also a sig value of 0,000&amp;lt;0,05 which means a relevant impact on purchase intention. And the result of the social media marketing determination coefficient test on purchase intention is 39,1%.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Keywords&lt;/strong&gt;: Purchase Intention, Social Media Marketing&lt;/p&gt;&lt;div&gt; &lt;/div&gt;

An Empirical Study on Korean Packaged Halal Food Manufactures: Muslim Millennial Consumers' Purchase Intention

This study aims to identify millennial Muslim consumers' perceptions of South Korean halal packaged food products and examine the relationship of each determinant to these food products. The research method used is a quantitative survey with a multiple linear regression data analysis method. The results showed that the primary perception of millennial Muslim consumers' intention to buy South Korean halal packaged food is the halal logo or certification. The factors determining this purchase intention do not fully have a positive and significant effect. Factors that have a positive and significant influence include; halal awareness, halal logo/certification, and product ingredients. While the factors of religious belief and exposure do not positively and significantly influence purchasing intentions. This study recommends that businesses engaged in the South Korean food sector with Muslims as their target customers follow halal principles, such as managing halal certification and including halal labels, raw material information, and processing methods of product/food packaging.

Stationary and moving bright solitons in Bose–Einstein condensates with spin–orbit coupling in a Zeeman field

We explore the existence and stability domains of stationary and moving bright solitons in spin–orbit-coupled spin-1 Bose–Einstein condensates in an external Zeeman field. Two families of bell-shape bright solitons (plane-wave (PW) phases) and two families of stripe-shape bright solitons (standing-wave (SW) phases) are obtained. We find a relation between the existence of these bright solitons and the single-particle energy spectrum, as well as the requirements of their existence for atomic interactions. The stability of four families of bright solitons is systematically analyzed using the linear stability analysis method. For two families of PW bright solitons, they are unstable only when the strength of the Zeeman field is above a critical value. The critical value is affected by the spin–orbit coupling and hardly affected by atomic interactions. When the velocities of solitons are zero (nonzero), the critical values of these two families are equal (unequal). For two families of SW bright solitons, their stability domains are identical in the absence of the Zeeman field, and they are unstable when the ferromagnetic interaction is strong. In the presence of the Zeeman field, their stability domains are complementary and complex, and one family of SW bright solitons can exist stably in the area with stronger ferromagnetic interaction. Furthermore, we find the collisions of stable bright solitons with different velocities can generate intriguing dynamics.

Self Assessment System, Tax Avoidance, Tax Rate, Tax Evasion on the Effectiveness of Corporate Income Tax Revenue during the COVID-19 Pandemic

The effectiveness of corporate income tax revenue is the ability and ability of the government to collect taxes obtained from corporate income tax according to the applicable rates and based on the amount of tax revenue that has been targeted. This study aims to determine the effect of Self assessment system, Tax Avoidance, Tax Rates and Tax Evasion on the Effectiveness of Corporate Income Tax Revenue during the Covid-19 pandemic. Data collected by distributing questionnaires to respondents via google form. The population used in this study were all Account Representatives of KPP West Denpasar and KPP East Denpasar. The sample used in this study were 48 Account Representatives using data collection techniques with non-probability sampling method. Analysis of the data used is by using the method of multiple linear analysis. The results of this study indicate that the Self Assessment System, Tax Rates, Tax Avoidance and Tax Evasion have an effect on the Effectiveness of Corporate Income Tax Revenue.

The Effect Of Profitability And Liquidity On Company Value Mediated By Dividend Policy In Property, Real Estate, And Building Construction Companies Listed On The Indonesia Stock Exchange (IDX)

The purpose of this study is to determine the effect of profitability, liquidity, and dividend policy on firm value. This study also aims to determine the indirect effect between profitability and liquidity on firm value through the dividend policy. This research used property, real estate, and building construction companies listed in Indonesia Stock Exchange. The research uses five recent years since 2018 until 2022 and selected by purposive sampling method. The analysis was performed using multiple linear regressions analysis method.

The Effect of Economic Growth, Unemployment Rate and Human Development Index on Poverty Rate in North Jakarta

Poverty is a complex problem, many factors affect the poverty rate in North Jakarta. This study aims to analyze the effect of economic growth, open unemployment rate, and human development index on the poverty rate in North Jakarta.iod 2009 to 2021, data was obtained through the Central Statistics Agency using multiple linear analysis methods using SPSS 27. The results of this study show that simultaneously Economic Growth, Unemployment Rate, and Human Development Index affect the Poverty Rate. Partial Economic Growth has no effect on the Poverty Rate, the Unemployment Rate has a positive impact in the Poverty Rate and the Human Development Index has a positive impact on the Poverty Rate.

Türkiye’nin Enerji ve Atık Sektörü İçin Kirlilik Cenneti Hipotezinin Sektörel Geçerliğinin Test Edilmesi

The increase in environmental standards in developed countries and the efforts of developing countries to attract foreign direct investments (FDI) offer both a theoretical and an empirical research area. In practice, this situation, which can be seen as a shift of investments to countries with looser policies in order to avoid the costs of environmental regulations, is called the pollution haven hypothesis (PHH). In this study, the existence of the mentioned hypothesis for Türkiye's waste and energy sector is investigated. In order to test the hypothesis, linear time series analysis methods are used in the study. When the findings are examined, it is observed that the hypothesis is valid in both sectors.

THE IMPACT OF WORKLOAD, REWARD AND WORK ENVIRONMENT ON EMPLOYEES PRODUCTIVITY OF UD. RODAMAS

Employee productivity is an important aspect in ensuring every business‘s continuity. Workload, reward and work environment are three factors that are significant in the understanding, maintaining and boosting employees ‘productivity from any company or business unit. This study aims to figure out the influence of workload, reward and work environment to employees ‘productivity on UD. Rodamas employees. Overall population in this research is all employees of UD. Rodamas and the chosen sample is 30 respondents. Data analysis uses multiple linear regressions analysis method. This research result proves that workload and reward simultaneously and partially have positive and significant influence employees ‘productivity on UD. Rodamas employees and only work environment that give the positive and insignificant impact. Its management have to preserve and boost workload, reward and work environment in this company and deliberate other factors that influence the employees ‘productivity on UD. Rodamas employees. Keywords: workload, reward, work environment, employee productivity

Pengaruh Inventarisasi Aset, Penilaian Aset Dan Legal Audit Terhadap Kualitas Laporan Keuangan Pemerintah Daerah

This research aimed to determine the effect of asset inventory, aset valuation and legal audit on the quality of local government financial statements in Sikka Regency. The method used a quantitative explanatory. The populations in this research were all employees who were divided into several divisions with a total of 53 employees. The sampling technique employed a saturated sampling technique with a sample size of 53 respondents. In this research, the type of data used was primary data. Data collection procedures used a questionnaire measured on a likert scale. The data analysis techinique used multiple linear analysis methods with descriptive statistical tests, data quality tests, classical assumption tests, and hypothesis testing. The results indicated that partially and simultaneously asset inventory, asset valuation and legal audit had a positive effect on the quality of local government financial statements in Sikka Regency.

Effect of Tax Discrimination, Love of Money, and Possibility of Detecting Fraud on the Perceptions of Tax Evasion

Abstract&#x0D; &#x0D; This research aims to determine the effect of tax discrimination, love of money, and the possibility of detecting fraud on the perceptions of tax evasion. This research uses quantitative methods. The research data used is primary data with a research instrument in the form of a questionnaire. The population in this study were 4,211 MSME actors in the Central Jakarta area who were registered with the PPKUKM (Small and Medium Enterprise Cooperative Trading Industry) Agency. The sample in this study were 87 MSME actors. The data analysis method uses multiple linear analysis methods with the help of the SPSS version 22 program. According to the analysis's findings, tax discrimination positively affects perceptions of tax evasion, love of money negatively affects perceptions of tax evasion, and the possibility of detecting fraud does not affect perceptions of tax evasion.&#x0D; Keyword: Tax Discrimination; Love of Money; Possibility of Detecting Fraud; Perceptions; Tax Evasion