This study aims to analyze the inertial weight factor value in the (PSO) algorithm and propose non‐linear weights with decreasing strategy to implement the improved PSO…
This study aims to analyze the inertial weight factor value in the (PSO) algorithm and propose non‐linear weights with decreasing strategy to implement the improved PSO (IPSO) algorithm. Using various types of sensors, combined with ZigBee wireless sensor networks and the TCP/IP network. The GPRS/SMS long‐range wireless network will sense the measured data analysis and evaluation to create more effective monitoring and observation in a regional environment to achieve an Internet of Things with automated information exchange between persons and things.
This study proposes a wireless sensor network system using ZigBee (PSoC‐1605A) chip, sensor and circuit boards to constitute the IOT system. The IOT system consists of a main coordinator (PSoC‐1605A), smart grid monitoring system, robotic arm detection warning system and temperature and humidity sensor network. The hardware components communicate with each other through wireless transmission. Each node collects data and sends messages to other objects in the network.
This study employed IPSO to perform information fusion in a multi‐sensor network. The paper shows that IPSO improved the measurement preciseness via weight factors estimated via experimental simulations. The experimental results show that the IPSO algorithm optimally integrates the weight factors, information source fusion reliability, information redundancy and hierarchical structure integration in uncertain fusion cases. The sensor data approximates the optimal way to extract useful information from each fusion data and successfully eliminates noise interference, producing excellent fusion results.
Robotic arm to tilt detection warning system: Several geographic areas are susceptible to severe tectonic plate movement, often generating earthquakes. Earthquakes cause great harm to public infrastructure, and a great threat to high‐tech, high‐precision machinery and production lines. To minimize the extent of earthquake disasters and allow managers to deal with power failures, vibration monitoring system construction can enhance manufacturing process quality and stability. Smart grid monitoring system: The greenhouse effect, global energy shortage and rising cost of traditional energy are related energy efficiency topics that have attracted much attention. The aim of this paper is that real‐time data rendering and analysis can be more effective in understanding electrical energy usage, resulting in a reduction in unnecessary consumption and waste. Temperature and humidity sensor network system: Environmental temperature and humidity monitoring and application of a wide range of precision industrial production lines, laboratories, antique works of art that have a higher standard of environmental temperature and humidity requirements. The environment has a considerable influence on biological lifeforms. The relative importance of environmental management and monitoring is acute.
This paper improves the fixed inertial weight of the original particle swarm optimization (PSO) algorithm. An illustration in the paper indicates that IPSO applies the Internet of Things (IOT) system in monitoring a system via adjusted weight factors better than other existing PSO methods in computing a precise convergence rate for excellent fusion results.
The author redesigned a course titled “Applied Information Technology: Networking” and applied online collaborative learning (CL) with initiation and self‐regulated…
The author redesigned a course titled “Applied Information Technology: Networking” and applied online collaborative learning (CL) with initiation and self‐regulated learning (SRL) to improve students’ involvement in this course in an environment that is full of free online games, shopping websites, and social networking websites. The purpose of this paper is to explore the potential effects of online CL with initiation and SRL on students’ involvement.
This study designed an intervention of online CL with initiation and SRL to improve students’ involvement and their learning in a blended course. It is believed that this article is important to the computing field and could provide insight for teachers to design their online courses and teaching methods.
The author in this study adopted SRL in the implementation of online CL with initiation, and explored their effects on improving students’ involvement. The results of this empirical study report that the effects of online CL with initiation and SRL were positive, and led to the best involvement in the blended course among the three classes.
The effects of online CL with initiation and SRL in this study were positive; however, problems of experimental validity may result from students in the comparison group being incidentally exposed to the treatment condition, having more enthusiastic teaching, being more motivated than students in the control group, etc. (Gribbons and Herman). Besides, some other contextual factors and individual behaviours might influence students’ online learning effects. For example, students’ adaptability to the online learning environments and their readiness for self‐directed learning may result in the differences of the effects among the three groups (Shen, Lee and Tsai).
The internet has enabled a shift from contiguous learning groups to asynchronous distributed learning groups utilizing computer‐supported collaborative learning (CSCL) environments (Kreijns, Kirschner and Jochems). It is expected that the interventions of online teaching methods, course design, and learning activities in this study may provide a reference for teachers, particularly for blended learning computing courses.
The results of this study report that the effects of online CL with initiation and SRL were positive, and contributed to the best involvement in the blended course among the three classes. The author further discusses the implications for schools and teachers who plan to provide online or blended learning for their students.
First, this study provides a scenario about how to help students collaborate and learn regularly, and improve their involvement in a blended course through online CL and SRL, particularly for computing courses. Second, this study specifies how teachers can provide initiation to help students climb the learning curve and overcome the bottlenecks typically encountered in the implementation of online CL. Third, this study is one of the first attempts to explore and demonstrate the effects of online CL with initiation and SRL in a blended course simultaneously.