Adaptively robust filtering algorithm for maritime celestial navigation

Abstract Celestial navigation is an important means of maritime navigation; it can automatically achieve inertially referenced positioning and orientation after a long period of development. However, the impact of different accuracy of observations and the influence of nonstationary states, such as ship speed change and steering, are not taken into account in existing algorithms. To solve this problem, this paper proposes an adaptively robust maritime celestial navigation algorithm, in which each observation value is given an equivalent weight according to the robust estimation theory, and the dynamic balance between astronomical observation and prediction values of vessel motion is adjusted by applying the adaptive factor. With this system, compared with the frequently used least square method and extended Kalman filter algorithm, not only are the real-time and high-precision navigation parameters, such as position, course, and speed for the vessel, calculated simultaneously, but also the influence of abnormal observation and vessel motion status change could be well suppressed.

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Islamic calendar and stock market behaviour in India

International Journal of Social Economics ◽

10.1108/ijse-09-2017-0404 ◽

2018 ◽

Vol 45 (11) ◽

pp. 1550-1566

Author(s):

Dharani Munusamy

Keyword(s):

Stock Market ◽

Least Square Method ◽

Least Square ◽

Stock Market Returns ◽

Content Type ◽

Ordinary Least Square ◽

Average Return ◽

Year Effect ◽

The Common ◽

The Impact

Purpose The purpose of this paper is to examine the behavior of the stock market returns in the different days of the week and different months of the year in accordance with the Islamic calendar. Further, the study estimates the risk-adjusted returns to test the performance of the indices during the Ramadan and non-Ramadan days. Finally, the study investigates the impact of Ramadan on the returns and the volatility of the stock market indices in India. Design/methodology/approach Initially, the study applies the Ordinary Least Square method to test the day-of-the-week and the month-of-the-year effect of the common and Shariah indices. Next, the study employs the risk-adjusted measurement to examine the underperformance and over-performance of the indices for both the periods. Finally, the study estimates the GARCH (1,1) and GJR-GARCH (1,1) models to observe the impact of Ramadan on the returns and the volatility of the Shariah indices in India. Findings The study finds that an average return of the indices during the Ramadan days are higher than non-Ramadan days. Further, the average returns of the Shariah indices are significantly higher on Wednesday than other days of the week. In addition, the highest and significant mean returns and mean risk-adjusted returns of the indices during the Ramadan days are observed. Finally, the study finds an evidence of the Ramadan effect on the returns and volatility of the indices in India. Originality/value The study observes evidence that the Ramadan effect influences the Shariah indices, but not the common indices in the stock market of the non-Muslim countries. It indicates that the Ramadan creates the positive mood and emotions in the investors buying and selling activities. The study suggests that investors can buy the shares before Ramadan period and sell them during the Ramadan days to get an abnormal return in the emerging markets.

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Macroeconomic determinants of trade openness: empirical investigation of SAARC region

Journal of Asia Business Studies ◽

10.1108/jabs-12-2015-0207 ◽

2018 ◽

Vol 12 (2) ◽

pp. 151-161 ◽

Cited By ~ 2

Author(s):

Muhammad Tahir ◽

SAF Hasnu ◽

Mario Ruiz Estrada

Keyword(s):

Regional Cooperation ◽

Labour Force ◽

Trade Openness ◽

Least Square Method ◽

Least Square ◽

Content Type ◽

Currency Exchange ◽

Long Run ◽

Macroeconomic Determinants ◽

The Impact

Purpose Trade openness plays a significant role in the growth process of countries. The purpose of this paper is to examine the impact of macroeconomic determinants on the trade openness of countries. Design/methodology/approach The study focuses on the South Asian Association for Regional Cooperation (SAARC) member countries and the data used were from 1971 to 2011. Panel data econometrics techniques and two stages least square method (TSLS) are used to carry out empirical analysis and robustness testing. Findings The main finding of the paper is that macroeconomic determinants such as investment both in physical and human capital and per capita gross domestic product (GDP) positively affect trade openness. Further, the size of labour force and currency exchange rate has also impacted trade openness negatively and significantly. Practical implications It implies that efficient macroeconomic management matters for higher trade openness. The sampled developing countries are suggested to pay favourable attention to macroeconomic variables if they want to grow in the long run through outward-oriented policies. Originality/value This paper is an original contribution in the context of SAARC countries by focusing on the relationship between macroeconomic determinants and trade openness.

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Algorithm design and analysis of fire rescue problems

Journal of Physics Conference Series ◽

10.1088/1742-6596/2083/3/032043 ◽

2021 ◽

Vol 2083 (3) ◽

pp. 032043

Author(s):

Mengshuang Fu

Keyword(s):

Difference Equation ◽

Urban Space ◽

Health And Safety ◽

Least Square Method ◽

Least Square ◽

Space Environment ◽

Fire Brigade ◽

Rescue Team ◽

The People ◽

The Impact

Abstract With the rapid economic development, the urban space environment is becoming more and more complex, various accidents and disasters occur frequently, and safety risks are increasing. The rescue tasks involved in the fire brigade are showing a trend of diversification and complexity. The fire rescue team always puts the people first and insists on serving the people wholeheartedly. It is the guardian of maintaining social stability in our country and safeguarding the health and safety of people’s lives and property and various disaster affairs. The society needs the participation in the fire rescue team. Aiming at the fire rescue problem, this paper uses the fire rescue call data onto 2016 to 2019 to predict the number of fire rescues / rescued calls based on the difference equation to improve the rescue efficiency of the fire brigade. Taking into account the impact on the domestic epidemiced in 2020 on people’s lives, the adjustment value was introduced to adjust part of the alarm data onto 2020 to ensure the accuracy and reliability of the data. Finally, the second-order difference equation is used to predict the alarm data onto 2021 through the least square method, which verifies the accuracy of the model.

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Accounting students' perceptions of work–life balance, accounting career image and intention to pursue accounting careers

Higher Education Skills and Work-based Learning ◽

10.1108/heswbl-09-2020-0209 ◽

2021 ◽

Vol ahead-of-print (ahead-of-print) ◽

Author(s):

Saarce Elsye Hatane ◽

Bernard Emerson ◽

Olievia Soesanto ◽

Ruth Arum Gunawan ◽

Hatane Semuel

Keyword(s):

Structural Equation ◽

Least Square Method ◽

Work Life ◽

Partial Least Square ◽

Least Square ◽

Work Life Balance ◽

Accounting Students ◽

Life Balance ◽

Content Type ◽

The Impact

PurposeThe purpose of this study is to discover the impact of work–life balance on the intention to pursue accounting careers through accounting career image.Design/methodology/approachThe study managed to collect 693 closed questionnaires, using the five-point Likert Scale, from accounting students in several universities in Java, Sulawesi and Kalimantan, as the three most densely populated islands in Indonesia. The research model is analysed using partial least square method as a part of structural equation modelling.FindingsThere are positive and significant influences between work–life balance and the intention to pursue accounting career when supported by accounting career image. The positive perception of accounting career image motivates accounting students to pursue accounting careers. Accounting students argue that attaining a balance between work and personal life can improve positive perceptions of accounting careers, which drive them to pursue a career in accounting. Work–life balance is an essential factor due to the fact that it can, directly and indirectly, affect the intention to pursue accounting careers. In addition, positive image of accounting profession is found to be able to strengthen the positive influence of the work–life balance to pursue accounting careers.Research limitations/implicationsFurther studies can continue along the line of this study as the intention to choose an accounting career can change from time to time. In addition, the generational difference may create a discrepancy in perception and orientation in choosing accounting careers. Therefore, future studies should consider a broader scope and more updated objects.Practical implicationsThe findings suggest that working experience is an essential part for accounting students in choosing accounting careers, and so higher education institutions need to consider including field work-practice in their curriculums. Companies are also expected to prioritise work–life balance since it will motivate accounting students to choose an accounting career.Originality/valueThis study investigates the link between work–life balance and decisions to pursue accounting careers through accounting students' perceptions in Indonesia. This study combines the influences of work–life balance and accounting career image on the intention to pursue accounting careers in one model, in which accounting career image is the mediating variable in the indirect link of work–life balance.

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Impact of hedonic motivation and corporate culture on the adoption of an information system

Kybernetes ◽

10.1108/k-01-2019-0040 ◽

2019 ◽

Vol ahead-of-print (ahead-of-print) ◽

Author(s):

Imane Beqqali Hassani ◽

Razane Chroqui ◽

Chafik Okar ◽

Mohamed Talea ◽

Ahmed Ouiddad

Keyword(s):

Information System ◽

Corporate Culture ◽

Structural Model ◽

Least Square Method ◽

Measurement Model ◽

Partial Least Square ◽

Least Square ◽

Adoption Process ◽

Content Type ◽

The Impact

Purpose The purpose of this paper is to evaluate the impact of corporate culture (CC) and hedonic motivation (HM) on the adoption of an information system (IS) inside a Moroccan company. To do so, the authors have combined and merged the “unified theory of acceptance and use of technology 2” along with the “Nguyen and Aoyama’s model” that covers the subject of CC. Later, the authors tested the research model within a Moroccan company. Design/methodology/approach In the present work, the authors used a quantitative analysis approach. Survey data were collected through oral interviews and analysis was performed based on the “partial least square” method, over a 94 sample of direct IS users. Findings The findings of the present investigation demonstrate the reliability and the validity of the established measurement model. Concerning the structural model, results support all hypotheses but with different effect size. The conclusion that can be extracted from this study is that CC and HM are important factors in the adoption process within the Moroccan firm. Originality/value This study enhances the understanding of the major factors affecting the adoption of an IS in a developing country. While several studies on adoption have been conducted, this study’s originality and contribution lays in the examination of the rarely evaluated factors: HM and CC.

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Study on the Field Dynamic Balance of Diesel Engine Crankshaft

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.307.299 ◽

2013 ◽

Vol 307 ◽

pp. 299-303

Author(s):

Shi Xun Jiang ◽

Shi Hai Zhang ◽

Zhi Min Yu

Keyword(s):

Diesel Engine ◽

Dynamic Balance ◽

Least Square Method ◽

Least Square ◽

Vibration Monitoring ◽

Influence Coefficient ◽

Balance System ◽

Influence Coefficient Method ◽

Field Dynamic ◽

Engine Crankshaft

Abstract：Based on the actual situations of diesel engines, significance of dynamic balance for marine diesel engine crankshaft system is discussed and as well vibration monitoring and field dynamic balance system for diesel engine crankshaft system is constructed. The least square method is applied to fit fundamental frequency vibration signals of crankshaft system and the field dynamic balance strategy is designed on the basis of the influence coefficient method. The feasibility of the dynamic balance system is tested through experiments in the paper.

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How To Build Customer Loyalty: Through Customer Experience, Perceived Price, And Customer Satisfaction

Turkish Journal of Computer and Mathematics Education (TURCOMAT) ◽

10.17762/turcomat.v12i4.1410 ◽

2021 ◽

Vol 12 (4) ◽

pp. 1546-1554

Author(s):

Edhie Budi Setiawan, Et. al.

Keyword(s):

Customer Satisfaction ◽

Customer Loyalty ◽

Structural Equation ◽

Low Cost ◽

Least Square Method ◽

Customer Experience ◽

Partial Least Square ◽

Least Square ◽

Perceived Price ◽

The Impact

The competition to get the highest Market Share among Low-Cost Carrier airlines in Indonesia is getting fierce. Airlines are competing to offer prices that are appropriate for passengers to perceive them in this era of tariff wars. The degree of satisfaction that is felt is needed to get loyal customers. The purpose of this research is to analyze the impact of customer experience and perceived price on customer loyalty through customer satisfaction. The method of analysis in this study uses the SEM-PLS (Structural Equation Model - Partial Least Square) method with 250 respondents taken by purposive sampling. The result of this research is there is effect positive and significant between customer experience on customer satisfaction and customer loyalty, also there is effect of perceived price on customer satisfaction and customer loyalty. Airlines must pay attention to the services provided to create a memorable experience for passengers and adjust prices to be accepted by passengers.

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THE IMPACT OF MIGRATION ON THE WAGE DISTRIBUTION IN INDONESIA

AFEBI Economic and Finance Review ◽

10.47312/aefr.v3i02.202 ◽

2019 ◽

Vol 3 (02) ◽

pp. 1

Author(s):

Clalisca Pravitasari ◽

Arie Damayanti

Keyword(s):

Migrant Workers ◽

Least Square Method ◽

Jel Classification ◽

Least Square ◽

Wage Distribution ◽

Average Wage ◽

Ordinary Least Square ◽

Wage Rates ◽

Negative Impacts ◽

The Impact

Research on the impact of migration on workers' wages in destination areas has long been debated in the literature. However, studies that link migration to wage rates in different percentiles along the distribution have not been widely implemented, as migration does not have the same impact on wage levels in all groups of workers. By establishing a counterfactual using the semi-parametric DFL method of National Labor Force Survey data, this study found that migration promotes changes in the distribution of wages, especially in the upper and lower percentiles. After controlling the magnitude of in-migration in each percentile group by using the ordinary least square method, this study also proves that migration leads to wage decreasing in percentile groups where migrant workers are overrepresented, which is in the 75th and 90th percentile groups. Meanwhile, no negative impacts were found on wage levels in the lower middle percentile. In fact, migration has proven to encourage an increase in the average wage of workers in the lowest percentile of the distribution.JEL Classification: J01, J11, J61Keywords: counterfactual, migration, wage distribution

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THE IMPACT OF THE INDUSTRIAL REVOLUTION 4.0 ON THE INSURANCE INDUSTRY AND WHETHER OF THE ASSETS AND INVESTMENTS PLAY A ROLE TO INVESTMENT YIELD?

Humanities & Social Sciences Reviews ◽

10.18510/hssr.2020.8239 ◽

2020 ◽

Vol 8 (2) ◽

pp. 345-351

Author(s):

Iskandar Muda ◽

Hafizah ◽

Bunga Aditi ◽

Hermansyur ◽

Erlina

Keyword(s):

Financial Services ◽

Financial Stability ◽

Industrial Revolution ◽

Insurance Industry ◽

Least Square Method ◽

Partial Least Square ◽

Least Square ◽

Insurance Companies ◽

Insurance Company ◽

The Impact

Purpose of the study: This research aims to know the influence of the Industrial Revolution 4.0 era on the insurance industry on the side of assets and Investment insurance companies to Investment Yield Sharia Insurance in Indonesia. Methodology: This type of research is explanatory research. This type of research data is secondary data sourced from the Financial Services Authority (OJK) Republic of Indonesia period in 2016-2107. The tool of analysis in this research is the Partial Least Square method using Smart PLS statistics. Main Findings: The results are an influence of Assets and Investment on Investment Yield on insurance companies in the Industrial Revolution 4.0 era. In the era of the industrial revolution, 4.0 potential insurance improve economic growth through several aspects, namely promote financial stability. Facilitate trade and commercial activities. mobilize domestic savings. Offering a variety of risk management on capital. Increase more efficient allocation of capital and reduce the risk of loss and can increase Investment Yield for shareholders and stakeholders. Applications of this study: This research is the observation only on Sharia Insurance Company sample while other issuers are not observed in this study and this research implies that sharia insurance issuers are growing and contributing to their shareholders and shareholder. Novelty/Originality of this study: The first time observing the Sharia Insurance industry industrial Revolution 4.0 era and previous research to observe in Sharia banking.

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Corruption practices and government effectiveness on human capital development in Nigeria

Global Journal of Sociology Current Issues ◽

10.18844/gjs.v11i2.5550 ◽

2021 ◽

Vol 11 (2) ◽

pp. 88-97

Author(s):

Oluwatobi O Omotoye ◽

Zaccheaus, O. Olonade ◽

Olumide, O. Omodunbi

Keyword(s):

Human Capital ◽

Least Square Method ◽

Least Square ◽

Human Capital Development ◽

Persistent Problem ◽

Government Effectiveness ◽

Development Indicators ◽

Capital Development ◽

The Impact ◽

The Relationship

The study assessed the impact of corruption practices and government effectiveness (GE) on human capital development (HCD) in Nigeria between the years 2003 and 2020, Panel data from 2003 to 2020 were obtained from the database of United Nations Development Programme, World Development Indicators and CIP and were analysed using the ordinary least square method which is suitable for the dataset. The study found that corruption has a significant relationship with HCD in Nigeria while the relationship between GE and HCD is not significant. The research implication is that the persistent problem of slow and sometimes stagnant HCD and growth in Nigeria can be reversed by improving GE and by reducing corrupt practices in the country. The paper concluded that corruption practices have a very strong influence on HCD in Nigeria, while the relationship between GE and HCD is insignificant. It was recommended that Nigeria should institute stiffer punishments for offenses bothering on corruption practices. Keywords: Corruption, human capital, development, government effectiveness, Nigeria.

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