Association for Scientic Computing Electronics and Engineering (ASCEE): Open Journal Systems
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An Examination of the Secure Chaos of 5G Wireless Communication Based on the Intelligent Internet of Things
The implementation of an intelligent system for network control and monitoring that is built on an Internet of Things (IoT) is a focus of this line of research, with the end objective of improving the level of precision inside the network and its applications. You did indeed read it correctly; the system that is being referred to here is a deep neural network. The manner that it is constructed makes it possible for the layer that cannot be seen to contain more data. The application of element-modified deep learning and network buffer capacity control helps to improve the overall service quality that is provided by each sensor node. One method that can be applied to the process of instructing a machine to pay more attention includes deep learning in its various incarnations. The team was able to do calculations with a precision of 96.68 percent and the quickest execution time, thanks to the usage of wireless sensors. Using a sensor-based technique that has a brief implementation period, this piece has a degree of accuracy of 97.69 % when it comes to detecting and classifying proxies, and it does so using a method that is very efficient. On the other hand, our research represents a significant leap forward in comparison to earlier studies due to the fact that we were able to accurately identify and categorize a wide variety of invasions and real-time proxies
Induction Motor Torque Measurement using Prony Brake System and Close-loop Speed Control
Three-phase induction motors are the main drivers of the industrial world because of their low price and good reliability. However, this type of motor does not have built-in speed control. These problems can be overcome by utilizing the Variable Frequency Drive (VFD) inverter. This research investigates the induction motor's characteristics in every load condition and combines a VFD inverter with an external speed controller based on Arduino. The motor is mounted on a Prony brake testbed frame to measure the motor's torque and mechanical power. The test results show the highest torque value obtained is 0.57 Nm, and the highest output power value is 0.042 kW. The motor cannot maintain the setpoint speed after loading in the open-loop control system. Meanwhile, the closed-loop control system has been successfully implemented, and the motor can return the speed to the setpoint value after loading, with an average settling time of 14.67 seconds
Design and Analysis of Decentralized Dynamic Sliding Mode Controller for TITO Process
In this paper, a decentralized dynamic sliding mode control (DySMC) strategy is applied to a multivariable level control system. The time derivative of the control input of the DySMC is considered a new control variable for an augmented system which is composed of the original system and the integrator. This DySMC can transfer discontinuous terms to the first-order derivative of the control input and effectively reduce the chattering. The interactions between input/output variables are a common phenomenon and a challenging task in the design of multi-loop controllers for interacting multivariable processes. For reducing the interaction among variables, ideal decouplers are used. Independent diagonal controllers are designed for each decoupled subsystem, which is reduced to the first-order plus dead-time (FOPDT) model. A numerical simulation test has been carried out on a reactor system of the Industrial-Scale Polymerization (ISP). Experimental tests are performed to check the efficacy of the proposed controller using a laboratory-level coupled tank system. A comparison of the proposed approach and sliding mode controller (SMC) is presented. Simulation and experiment results show that the DySMC approach reduces the chattering, and compensates for the effect of the external disturbances, and parametric uncertainties
Developing a delay risk model for toll road construction project: A conceptual framework
In the realization of the medium-term development plan in 2014-2019 (RPJMN), toll road construction development was only reached 51 percent. construction projects had complex and dynamic nature, which caused delays, construction risk assessment that considers risk as a system was done before, for example, using techniques such as SD, Fuzzy DEMATEL, STEEP-SD, DEMATEL-ANP, and SD-DEMATEL, but the technique still has some shortcomings. in indonesia, research related to this matter is still rarely done, to address this concern, we propose a conceptual framework that can be used to develop a delay risk model for toll road construction project especially in indonesia. for this purpose, we introduce the system dynamic-fuzzy dematel-anp (sd-fdanp) method. the results of the development of the sd-fdanp method can be used as a guideline that can help achieve behavioral knowledge of delays and the success of risk assessment in toll road infrastructure development projects
Improving nurses’ ESP communicative competence by digital storytelling method
The quality of Indonesian nurses promoted to work abroad is greatly affected by their ability to communicate in medical English. A number of previous studies have explored the effectiveness of using digital storytelling in the foreign language learning process. However, research on the application of this method to improve communication competence in ESP nursing is still very limited. This research aims to test the effectiveness of using the Digital Storytelling (DST) method on nurses’ English communication competence. Using classroom action research design, with 125 nurses’ samples, the study proves that there is a significant effect on nurses' communication skills (grammatical competence, strategic competence, and sociolinguistic competence). In addition, the majority of the students responded positively to the use of this method, particularly in terms of increasing their confidence in communicating in English in general and medical English in particular. The strength and limitations of this method are also discussed in this study
Coordinated Distributed Voltage Control Methods for Standalone Microgrids
A microgrid is a small-scale power grid comprising distributed generators (DGs), distributed storage systems, and loads. It will lose contribution from the main grid if it shifts to islanded mode due to pre-planned or unforeseen disturbances. To restore the terminal voltages of all the distributed generators to the reference value, this paper presents three coordinated secondary control strategies. First, motivated by the synchronization control theory of multiagent systems, a distributed control technique is developed where each of the DGs is considered an agent and they exchange information via a communication network. second, a two-level control technique is designed in which a global controller is employed to monitor the overall performance of the DGs by transmitting corrective signals to the local controllers of the agents. In this technique, all the communication is between the global controller and the local controllers without any direct communication between the agents. Third, decentralized control is provided in which each DG is separately controlled by its local controller that operates based on the local feedback measurements. Simulations are carried out on an islanded microgrid consisting of four DGs to illustrate our design approach
Green warehouse performance monitoring system design using analytical hierarchy process and supply chain operation reference
The use of logistics service providers in Indonesia progressively increasing from year to year, especially XYZ company as warehouse service providers with main activity are product distribution and storage of finished good. Currently, the XYZ company uses a web-based system to record products in warehouse activities, but this system has not been able to measure and evaluate warehouse performance. In addition, the company has large operating cost caused by product handling costs and warehouse operating costs. In this study, a monitoring system was designed that can measure and evaluate warehouse performance to be a sustainable warehouse. Therefore, this study integrates Supply Chain Operation Reference (SCOR) and Analytical Hierarchy Process (AHP) by considering green warehousing criteria. The weighting of importance level of each criteria using AHP method results in make criteria getting a weighted score (0.421), plan (0.213), deliver (0.152), source (0.119), return (0.064), and environment (0.032). The results of the scoring system using OMAX show that 7 KPIs are included in the green category, yellow category (11 KPIs), and red category (10 KPIs). Total value the company's green warehouse performance index is 11.15 which indicates that overall warehouse performance has not reached expected performance based on Traffic Light System Method
Innovative music learning in “Profil Pelajar Pancasila†development for students: an intervention study through world wall applications
The importance of art education in instilling the principles of Pancasila that should be taught to pupils has diminished since the era of technological transformation. Learning the names of the Pancasila principles through music is a powerful tool. However, pupils lose interest in the process when learning is still presented in the traditional fashion. Student's strengths in global variety, mutual cooperation, independence, critical reasoning, and creativity can be cultivated through this music-learning process and included in their Pancasila student profiles. As a result, changes in music education are necessary for the extras. The study's overarching objective was to explain how interventions based on the world wall application might help students build a Pancasila profile to better serve their communities. The art and culture instructor and the tenth-grade pupils at MAN 2 Kediri in the city of Kediri participated in this study. This research uses observation, interviews, and written records to acquire its data. Â The results of this study indicate that learning the art of music at schools in trumpet practice using the wordwall.net application can stimulate the profile of Pancasila students by cultivating an open way of thinking, mutual respect, mutual care and collaboration. This research is expected to be an innovative medium for teaching music learning so that students can get to know music in various way
Students’ self-regulation, critical thinking, and learning performance in learning e-commerce through facebook
This study aims to analyse the effect of Facebook as a social learning environment in relation to students’ self-regulation (SR), critical thinking (CT) and learning performance in an e-Commerce course. A total of 295 undergraduate students taking the course were selected using cluster random sampling to identify their SR and CT. 50 out of 295 students were then selected purposively and were involved in the intervention process of e-Commerce course learning using Facebook. The post-test result indicated that SR, CT and learning performance in e-Commerce learning had improved after they went through the intervention process. Meanwhile, a positive correlation could be seen between CT and learning performance only, when analysed using Pearson correlation. Furthermore, a cross-tabulation analysis revealed a positive relationship pattern between the students’ SR, CT and learning performance. Hence, this suggests that academic performance can be improved through SR and CT
Design of Hybrid Controller using Qualitative Simulation Internal Modeling for Inverted Pendulum
Multiple model methods for nonlinear dynamical system control are appealing because local models can be simple and obvious, and global dynamics can be studied in terms of transitions between small operating zones. In this study, we propose that using qualitative models strengthens the multiple model method even more by enabling each local model to explain a huge class of effective nonlinear dynamical systems. Furthermore, reasoning using qualitative models reveals weak necessary conditions sufficient to verify qualitative features like stability analysis. The authors show the method by creating a global controller for the free pendulum. In addition, local controllers are specified and validated by comparing their patterns to basic general qualitative models. Our proposed procedure establishes qualitative limitations on controller designs that are sufficient to ensure the necessary local attributes and to establish feasible transitions between local areas for the existing problems. As a result, the continuous phase picture may be reduced to a simple transitional graph. The degrees of freedom in the system that are not bound by the qualitative description are still accessible to the designer for optimization for any other purpose. An example of a pendulum plant illustrates the effectiveness of the proposed method