A vigorous Fractional Order Sliding Mode Controller (FOSMC) to be used to control the speed of the DC motor. It is a computer software and simulation-based research. DC motors are one of the most versatile electric machines that widely used in industries and home automations. Many control techniques have been proposed to effectively control the position and speed of DC motor for industrial as well domestic purpose. Research is directed towards the development of state-of-the-art approach for the fractional order controller as the addition of latest classic philosophy. Fractional order control is an emerging area of research, this research presents novel fractional order sliding mode controller to control the speed of the direct current motor. Parametric uncertainties are presented in this approach and un-modelled dynamics. The fractional-sliding order is defined in accordance with the fractional calculus, and stability of system is guaranteed using Lyapunov theorem. Simulations to be carried out in MATLAB Simulink and simulation results are verified through experiments. Desirable and superior performance of proposed control scheme to be observed from simulation and experimental results.

English is the universal language, even though other languages might have more speakers. The English language is widely used around the world and everyone wants to learn it. Teaching English using multimedia labs to non-native speakers is very popular around the world. That means researchers have to do research on the effectiveness of Multimedia Lab Teaching English in Myanmar. The researcher and his team observed two schools in Kyaukse, Myanmar: MKL Private High School by applying a computer-based test through Multimedia Lab Teaching and No.1 Public High School by conducting a paper-based test through Traditional Teaching. They attended two days a week by setting different dates for their appointments with each school. Researchers observed that both teachers prepared and trained their selected 40 students in 5th grade (20 each from the two schools) to familiarize themselves with the skills test-questions would be extracted from their daily lessons and activities that they have been taught and learned to date. Researchers found the MKL students 100% easily performed in terms of speaking and listening due to their daily usage of multimedia resources and practices. For No.1 public school students, they mostly failed to do so as they were out of practice and had no resources for Multimedia Technologies. The same goes for reading and writing. MKL students answered well, except 5%, but for No. 1, public school students made only 50% of proper answers due to the lack of the latest resources, such as digital books and multimedia resources. Overall, the MKL students got higher scores in all the skills, even in grammar and phonics tests, through the continuous usage of multimedia effectively.

This paper proposes an adaptive neuro-fuzzy inference system for predicting an airport’s domestic air passenger demand. Osaka’s Kansai International Airport was selected as the case site for the study, which covered the period 1994 to 2018. The combination of an artificial neural network with a fuzzy inference system provides a hybrid neuro fuzzy inference system that can predict an airport’s domestic air passenger demand with a high predictive capability. In this study, coefficient of determination (R2-value), root mean square errors (RMSE), mean absolute errors (MAE) and the mean absolute percentage error (MAPE) were used to test the performance of the proposed ANFIS model. The mean absolute percentage error (MAPE) for the overall data set of the model was 5.15%. The highest R2-value in the modelling was around 0.9742, which suggests that the ANFIS is an efficient model for predicting Kansai International Airport’s domestic passenger demand.

The United Nations (UN) recognizes Privacy as a human right which entails two aspects – personal data or knowledge and to what extent it can be shared. In this era of universal and virtually free internet access with innumerable apps on various electronic devices, the quantum and significance of information has magnified a lot. One such app is WhatsApp. Much of the information that flows through WhatsAppcontains personal data that can be tapped by companies and hackers for their own monetary benefits. Security of such data is main concern of users. The objective of this paper is to study the awareness of Digitization of data flow in India and its Security Legislations. It also discusses the changes in WhatsApp Privacy Policy and its acceptance by Government of India.

Emotional Intelligence is playing the significant role in the today’s technological era. This tidy has basically focused on the two scale measurement of EI i.e. TEIQue-SF and WLEIS out of which the researchers had made an attempt to identify the best scale measurement for the study by considering the numerous method of research i.e. Reliability testing, Factor Analysis and Non Parametric Test. Out of which the researcher had concluded that the WLEIS scale is better for the study as it has more value in terms of Cronbach’s alpha and also there is no significant difference of opinion of graduating students with demographic factors for the factors responsible for the measuring the performance of the graduating students. To measure the significant difference among the demographic profile of the graduating students, Mann Whitney U test and Kruskal Wallis test have been applied in this study.

In this article, SrMgSiO4:Eu3+ red emitting phosphors were synthesized with different concentrations of Eu3+ ions by using solid state synthesis approach. The structure, morphology and luminescent properties of the phosphors were characterized using X-ray diffraction (XRD), scanning electron microscopy (SEM), Fourier transform infrared (FTIR) and photoluminescence (PL) spectroscopy. The XRD analysis revealed that addition of dopant increased the crystallinity of the samples. The SEM images showed the samples have irregular in shapes. The photoluminescence emission spectra of prepared SrMgSiO4:Eu3+ phosphor was observed at 394 nm excitation wavelength. The optimum concentration of the dopant having highest luminescence intensity is found to be 0.5 mol %. The obtained PL results indicated that prepared phosphor is suitable as red phosphors for white LEDs.

Blockchain Technology is the emerging component of IT and Computing and is a kind of encrypted record of data works on distributed database. This is furthermore dealt with the data related to the transaction, contract, independent record, etc. Digital ledger is important and also applicable in various platforms, not bounded in a particular place; and required in financial activities and services and hence it is worthy in healthy digital currency and transactions. Financial transaction is not associated with the third party and it keeps the data encryption and here participants no need to share personal data and thus Blockchain Technology is associated with the data breach. Insignificantly Blockchain not only reduces the data breach but also supports the multiple numbers of shared copies and it works on the same database. It helps in wage a data breach attack. Earlier it was known as Blockchain but gradually it is treated as a Technology and considered as important in Information Technology and impacting the financial sector rapidly. Blockchain Technology is required in various tangible and intangible asset management and required in tracking including recorded effectively within a network and ledger. Blockchain is therefore is a tool, a technique, as well as a procedure for sophisticated financial management. This paper is based on existing literature emphasizing Blockchain Technology with features, characteristics with a focus on its types.