Systematic Literature Review of Role of Applied Geomatics in Mapping and Tracking Corona Virus

This review paper focuses on the Role of Applied Geomatics in Mapping of dispersion Corona Virus and sheds the light on the important studies on the topic. It also sheds the light on the tracking Corona Virus literature. This review paper also sheds the light on the definition, conceptualization, and measurement of corona virus mapping and tracking. This review paper has also showed a number of studies that linked the relationship between applied geomatics and the mapping and tracking corona virus. Authors explores the literature about applied geomatics, mapping and tracking from 2009 to end 2019 in order to investigate how these two geomatics techniques were born, how they have developed, which are the shared features and how it play an important role in corona virus the novel pandemic. This systematic review of current literature on applied geomatics and corona virus and provides insight into the initial and proposed framework of integrating geomatics to track and map the corona virus

Malaysian’s concern toward Rohingya / Nur Hamizah Balqish Muhamad…[et.al]

This study is done in order to find the level of concern towards Rohingya in Malaysia. This study also used social capital theory as foundations theories for model development. The minimum sample size was determined through G⃰Power analysis. The study involved 244 respondents, selected through a cluster sampling technique involving three main ethnics in Malaysia. A cross sectional survey and structured questionnaire were used for data collection. All variables were measured through scales previously used by other researchers. SPSSS ver. 20 software was used in the analysis. Results of the SPSS indicated that the level of concern, for all four factors namely religion, helpless, and humanity show very high level

Systematic Literature Review of Role of Applied Geomatics in Mapping and Tracking Corona Virus

This review paper focuses on the Role of Applied Geomatics in Mapping of dispersion Corona Virus and sheds the light on the important studies on the topic. It also sheds the light on the tracking Corona Virus literature. This review paper also sheds the light on the definition, conceptualization, and measurement of corona virus mapping and tracking. This review paper has also showed a number of studies that linked the relationship between applied geomatics and the mapping and tracking corona virus. Authors explores the literature about applied geomatics, mapping and tracking from 2009 to end 2019 in order to investigate how these two geomatics techniques were born, how they have developed, which are the shared features and how it play an important role in corona virus the novel pandemic. This systematic review of current literature on applied geomatics and corona virus and provides insight into the initial and proposed framework of integrating geomatics to track and map the corona virus

Intelligent optimization of novel particle swarm optimization with explorer (PSOE) for identification of flexible manipulator system

Flexible manipulator is widely used in robotics and mechanical systems. Its application have led to the development of systems which are lighter, less bulky, and provides greater system flexibility. However, the flexible manipulator has one drawback. It develops unwanted vibration during operation which reduced the efficiency of the flexible manipulator systems for accurate positioning requirements. Therefore, an intelligent optimizer, the Particle Swarm Optimization with Explorer (PSOE) was developed to model this highly non-linear and complex system. Initially, an experimental setup for the flexible manipulator was developed. Experimental input output data were acquired including hub angle and endpoint acceleration to fed into system identification method. Next, optimization was done using the proposed PSOE as compared to a standard Particle Swarm Optimization (PSO) algorithm via linear auto regressive with exogenous (ARX) model structure. Validations of the algorithms were attained on the basis of minimizing the value of mean-squared error (MSE) and correlation tests. The superiority of the added ‘explorer’ to the algorithm was confirmed as PSOE obtained the lowest MSE value of 2.8232 × 10–5 and 3.7364 × 10–7 for end-point acceleration and hub angle modelling, respectively. Both modelling also achieved good correlation values within the 95% confidence interval. Results obtained can be adapted for further analysis in implementing an active vibration control for flexible manipulator systems

Intelligent proportional-integral-derivate controller using metaheuristic approach via crow search algorithm for vibration suppression of flexible plate structure

Proportional-integral-derivate (PID) controller has gained popularity since the advancement of smart devices especially in suppressing the vibration on flexible structures using different approaches. Such structures required accurate and reliable responses to prevent system failures. Swarm intelligence algorithm (SIA) is one of the optimization methods based on nature that managed to solve real-world problems. Crow search is a well-known algorithm from the SIA group that can discover optimum solutions in both local and global searches by utilizing fewer tuning parameters compared to other methods. Hence, this study aimed to simulate a PID controller tuned by SIA via crow search for vibration cancellation of horizontal flexible plate structures. Prior to that, an accurate model structure is developed as a prerequisite for PID controller development. After the best model is achieved, the proportional-integral-derivative-crow-search (PID-CS) performance was compared to a traditional tuning approach known as the Ziegler Nichols (ZN) to validate its robustness. The result revealed the PID-CS outperformed the proportional-integral-derivative-Ziegler Nichols (PID-ZN) with attenuation values of 44.75 and 42.74 dB in the first mode of vibration for single sinusoidal and real disturbances, respectively. In addition, the value of mean squared error (MSE) for PID-ZN and PID-CS for single sinusoidal disturbance are 0.0167 and 0.0081, respectively. Meanwhile, PID-ZN and PID-CS achieved 2.3981 × 10 −4 and 2.3737 × 10 −4 when they were exerted with real disturbance. This proves that the PID-CS is more accurate compared to the PID-ZN as it achieved the lowest MSE value