Improved RSS-based Localization Using Linear Regression Approach in UWSNs

The occurrence of epidemic avian influenza (EAI) not only hinders the development of a country's agricultural economy, but also seriously affects human beings’ life. Recently, the information collected from Google Trends has been increasingly used to predict various epidemics. In this study, using the relevant keywords in Google Trends as well as the multiple linear regression approach, a model was developed to predict the occurrence of epidemic avian influenza. It was demonstrated by rigorous cross-validations that the success rates achieved by the new model were quite high, indicating the predictor will become a very useful tool for hospitals and health providers.

Download Full-text

Characterization of Export Regimes in Concentration–Discharge Plots via an Advanced Time-Series Model and Event-Based Sampling Strategies

Water ◽

10.3390/w13131723 ◽

2021 ◽

Vol 13 (13) ◽

pp. 1723

Author(s):

Ana Gonzalez-Nicolas ◽

Marc Schwientek ◽

Michael Sinsbeck ◽

Wolfgang Nowak

Keyword(s):

Time Series ◽

Linear Regression ◽

Time Series Model ◽

Data Series ◽

Additional Parameter ◽

Sampling Strategies ◽

Discharge Rates ◽

Regression Approach ◽

Event Based ◽

Stochastic Time Series

Currently, the export regime of a catchment is often characterized by the relationship between compound concentration and discharge in the catchment outlet or, more specifically, by the regression slope in log-concentrations versus log-discharge plots. However, the scattered points in these plots usually do not follow a plain linear regression representation because of different processes (e.g., hysteresis effects). This work proposes a simple stochastic time-series model for simulating compound concentrations in a river based on river discharge. Our model has an explicit transition parameter that can morph the model between chemostatic behavior and chemodynamic behavior. As opposed to the typically used linear regression approach, our model has an additional parameter to account for hysteresis by including correlation over time. We demonstrate the advantages of our model using a high-frequency data series of nitrate concentrations collected with in situ analyzers in a catchment in Germany. Furthermore, we identify event-based optimal scheduling rules for sampling strategies. Overall, our results show that (i) our model is much more robust for estimating the export regime than the usually used regression approach, and (ii) sampling strategies based on extreme events (including both high and low discharge rates) are key to reducing the prediction uncertainty of the catchment behavior. Thus, the results of this study can help characterize the export regime of a catchment and manage water pollution in rivers at lower monitoring costs.

Download Full-text

Analisa Faktor Internal Penyebab NPL Kredit Mikro: Studi Kasus PT BPR Wahana Sentra Artha Majalengka

El-Mal: Jurnal Kajian Ekonomi & Bisnis Islam ◽

10.47467/elmal.v1i1.279 ◽

2018 ◽

Vol 1 (1) ◽

pp. 49-60

Author(s):

Faisal Salistia

Keyword(s):

Linear Regression ◽

Research Method ◽

Standard Procedure ◽

Economic Conditions ◽

Survey Method ◽

Business Units ◽

Internal Condition ◽

Regression Approach ◽

Credit Analysis

The role of BPRs in providing capital assistance to MSME business units, still has to deal with the internal management of the bank's own management. This must be understood because one of the factors to assess the health of a BPR is to look at the NPL (Non- Performing Loan) ratio, calculated from the total loans that fall into the non -current category, divided by the total credit given. Where is the maximum ratio determined by Bank Indonesia, which is below 5%. This means that if a BPR has an NPL ratio above 5%, then it can be assumed that there is a failure in implementing an inefficient and ineffective lending strategy. Therefore, it is necessary to examine the factors that influence the high NPL of rural banks (BPR), especially from credit lending strategies. In addition, economic conditions and business competition and forecasting of future conditions, conduct training for AO to sharpen credit analysis, ensure that the process of submission and disbursement of credit quickly and easily provides various alternative options for debtors to pay their credit, providing standard procedure for granting credit, conducting a survey of the place of business against the submission of business credit. The research objective is to analyze 1) the influence of BP's internal conditions on the lending strategy. 2) Analyzing the effect of Credit Giving Strategy on Non -Performing Loans. The research method uses a survey method with a multiple linear regression approach to obtain information on the influence of both of these. The results of the study show that 1) the internal condition of the BPR has a positive and significant effect on the lending strategy (the condition of the organization within the organization and formally has direct and specific implications on BPR). 2) that the lending strategy has a negative and significant effect on NPL. The lending strategy applied by BPRs is a means to control the development of credit thrown into the market by the BPR.

Download Full-text

Multiple linear regression approach to deduce Internet addiction impact on the psychosocial wellness of young medical students

National Journal of Physiology Pharmacy and Pharmacology ◽

10.5455/njppp.2022.12.08280202116082021 ◽

2021 ◽

pp. 1

Author(s):

Anuradha Yadav ◽

Manisha Sankhla ◽

Kavita Yadav ◽

Ishwar Gupta

Keyword(s):

Medical Students ◽

Linear Regression ◽

Multiple Linear Regression ◽

Internet Addiction ◽

Regression Approach

Download Full-text

PERTUMBUHAN EKONOMI, KETIMPANGAN PEDAPATAN DAN DESENTRALISASI DI INDONESIA

KINERJA ◽

10.24002/kinerja.v20i1.697 ◽

2016 ◽

Vol 20 (1) ◽

pp. 53

Author(s):

Lestari Agusalim

Keyword(s):

Economic Growth ◽

Income Inequality ◽

Linear Regression ◽

Income Distribution ◽

Gross Domestic Product ◽

Gini Index ◽

National Income ◽

Secondary Data ◽

Independent Variables ◽

Regression Approach

AbstrakPenelitian ini bertujuan untuk mengkaji pengaruh desentralisasi dalam mendistribusikan pendapatan nasional untuk mengurangi ketimpangan pendapatan di Indonesia. Data yang digunakan adalah data sekunder, yaitu PDB sebagai representasi pendapatan nasional dan data indeks gini sebagai representasi tingkat ketimpangan pendapatan dengan rentang waktu 1978-2015. Metode analisis menggunakan regresi linear dengan pendekatan OLS dimana Indeks gini digunakan sebagai variabel dependen, dan PDB sebagai variabel independen. Selain itu, terdapat variabel independen lainnya, yaitu variabel dummy desentralisasi yang berguna untuk mengetahui pengaruh desentralisasi terhadap ketimpangan pendapatan. Hasil analisis menunjukkan bahwa dari aspek ekonomi, desentralisasi belum mampu mendistribusikan pertumbuhan ekonomi untuk memperkecil ketimpangan pendapatan masyarakat.Kata Kunci: Pertumbuhan Ekonomi, Ketimpangan Pendapatan, DesentralisasiAbstractThis research aims to analyze the effect of decentralization on national income distribution and the reduce of income Inequality in Indonesia. This research used secondary data with gross domestic product (GDP) representing national income and gini index data representing income inequality from 1978 to 2015. An OLS Linear Regression approach was employed where the gini index was the dependent variable, and the independent variables were GDP and the Dummy for decentralization implementation. The result revealed that decentralization had not been able to distribute economic growth to minimize income Inequality.Keywords: Economic Growth, Income Inequality, Decentralization

Download Full-text

Flicker spreading in a transmission network

Journal of Energy - Energija ◽

10.37798/202069126 ◽

2020 ◽

Vol 69 (1) ◽

pp. 18-22

Author(s):

Tonko Garma ◽

Denisa Galzina

Keyword(s):

Linear Regression ◽

Predictive Model ◽

Cost Effective ◽

Transmission Network ◽

Transmission Grid ◽

Key Concepts ◽

Regression Approach ◽

Non Linear

This paper reports the flicker spreading in the transmission network. Chapter 1 presents introduction containing brief background and key concepts, followed by description of the corresponding instrumentation in Chapter 2. Key contribution of the paper is elaborated in Chapters 3 and 4. Chapter 3 reports measurements of the flicker magnitude along the 400 kV, 220 kV and 110 kV transmission grid for various distances from flicker origin on 400 kV grid, and Chapter 4 gives cost-effective predictive model, enabling estimation of the flicker magnitude for arbitrary selected origin-to-spot distance base on non-linear regression approach. Paper is extension of the work presented at Smagrimet 2019 conference.

Download Full-text