19c96fd51791d8d23b97fe2 20211204041733524 beie:beie director@blueeyesintelligence.org WEB-FORM International Journal of Recent Technology and Engineering (IJRTE) IJRTE 22773878 10.35940/ijrte.2277-3878 https://www.ijrte.org/ 11 30 2021 10 4 10.35940/ijrte.10.4 https://www.ijrte.org/download/volume-10-issue-4/ Department of Doctoral Student, Economics Doctorate, Jambi University. Indonesia. Wiwik Tiswiyanti Prof. Dr. H. Haryadi Department of Bachelor of Commerce, Jambi University. Indonesia. Dr. Hj. Sri Rahayu Department of Bachelor of Commerce, Jambi University. Indonesia. Dr. Enggar Diah Puspa Arum Department of Bachelor of Commerce, Jambi University. Indonesia. This study aims to analyze the effect of experience on ethical decisions and the influence of organizational ethical culture in moderating the relationship between experience and ethical decisions in tax consultants in the Sumatran Region including Lampung, Bangka Belitung, Palembang and Jambi consisting of 139 respondents. The analysis technique uses SEM WarpPLS with the help of the WarpPLS 7.0 application. The findings in this study, indicate that there is no significant effect between experience and ethical decisions and in an indirect relationship between experience and ethical decisions with organizational ethical culture as a moderating variable showing the results, organizational ethical culture can moderate the relationship with a significant influence. The research has met the requirements of the SEM-WarpPLS fit model. 11 30 2021 256 260 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D6622.1110421 https://www.ijrte.org/wp-content/uploads/papers/v10i4/D66221110421.pdf Researcher, Seoultech NDT Research Center, Seoul National University of Science & Technology, South Korea. Dr. Dong Hwa Kim Young Sung Kim Seoultech NDT Research Center, Seoul National University of Science & Technology, South Korea. This paper deals with a novel prediction method for wind turbine by using neural network and operating data. As wind turbine transfer wind energy to electrical power energy, its structure has rotation part that capture wind energy, mechanical part, and electrical part that convert from mechanical rotation to electrical energy. Its working environmental situation is so bad like high mountain, sand desert, and offshore to capture good wind situation. Therefore, its control and monitoring should have high reliability for long terms during operation because its maintenance and repairing is very difficult and economically high cost. As wind turbine system is composed of three parts, there are many components that should be monitored to failure. This paper suggests neural network and operation data-based prediction method that can predict components' failure through data comparison and neural network's training function with easy expression of 'Yes' or 'No' for operator. 11 30 2021 261 268 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D6614.1110421 https://www.ijrte.org/wp-content/uploads/papers/v10i4/D66141110421.pdf SETIT, Institute of Biotechnology of Sfax, University of Sfax Tunisia. Slim Tahri Nizar Khitouni SETIT, Institute of Biotechnology of Sfax, University of Sfax Tunisia. Med Salim Bouhlel SETIT Institute of Biotechnology of Sfax, University of Sfax Tunisia. This work presents the design of a new 2-2 programmable sigma delta modulator architecture, for different applications, this transformation design of the ΣΔ modulator low-pass, band-pass and high-pass or vice versa with loopbacks addition, which improved the linearity of the converter and reduced the quantization noise. In this work, the MASH structure enables the implementation of stable and high-order modulator. This makes low voltage and low power applications ideal. The simulation result for sigma delta modulator for biomedical applications exhibit a signal to noise ratio is 95 dB @ 250Hz bandwidth and a 75dB @ 200KHz ,85dB @1MHz for pass band modulator. The SNR is about 70dB for 5MHz bandwidth and for high pass application. This tool will allow a development contribution and characterize a system optimization set from the start while remaining at a high level of design that is suitable for electronic systems and models VHDL-AMS, RF, Biomedical. 11 30 2021 269 272 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D6629.1110421 https://www.ijrte.org/wp-content/uploads/papers/v10i4/D66291110421.pdf