E-learning moodle

The development of the Intensive Reading learning process with e-learning Moodle isa focus of attention in this study. The main purpose is to find out the effectiveness, practicality, and feasibility of e-learning Moodle that has been designed in the process of learning. The instructional model of ADDIE was the basis for this development research which involves Analysis, Design, Development, Implementation, and Evaluation. Twenty-eight students who joined the intensive reading class and eight validators who were experts in their fields became trial participants in this study. The feasibility of e-learning Moodle was validated by an evaluation sheet that was completed by six validators, who were experts in their field such as learning- media, material, and process. Furthermore, the acquisition of data from students' questionnaires becomes the main data in determining of effectiveness and practicality of the e-learning Moodle. The study indicated that learning model produced can be acceptable and eligible categories, including layout, navigation, function, and pedagogical areas. Based on the students’ answers related to the use of e-learning Moodle of Intensive reading class, it depicts to be effective and practice in all aspects of the evaluation.

An Intelligent Shopping System based on UHF RFID

In the context of COVID-19, in order to solve the problems that customers need to spend more energy to find products in the supermarket, long checkout queue time, and cumbersome product management, optimize the shopping route of customers, accelerate the shopping process, and reduce the risk of infection; providers exceed Supplier’s sales of goods, and then timely and purposeful selection of goods, simplifying the supply chain process between supermarkets and suppliers. This article designs a multi-terminal interactive intelligent shopping system based on UHF RFID to construct The shopping cart terminal, mobile phone APP terminal, data management system terminal, and three-terminal interactive system with RFID technology as the core are developed. The design uses the UHF RFID system to identify the information in the electronic tags of the goods, and through the navigation function, helps customers locate the desired goods, and realizes the functions of identification, information display, navigation and positioning, and settlement.

Decentralized MPC-Based Trajectory Generation for Multiple Quadrotors in Cluttered Environments

Challenges in motion planning for multiple quadrotors in complex environments lie in overall flight efficiency and the avoidance of obstacles, deadlock, and collisions among themselves. In this paper, we present a gradient-free trajectory generation method for multiple quadrotors in dynamic obstacle-dense environments with the consideration of time consumption. A model predictive control (MPC)-based approach for each quadrotor is proposed to achieve distributed and asynchronous cooperative motion planning. First, the motion primitives of each quadrotor are formulated as the boundary state constrained primitives (BSCPs) which are constructed with jerk limited trajectory (JLT) generation method, a boundary value problem (BVP) solver, to obtain time-optimal trajectories. They are then approximated with a neural network (NN), pre-trained using this solver to reduce the computational burden. The NN is used for fast evaluation with the guidance of a navigation function during optimization to guarantee flight safety without deadlock. Finally, the reference trajectories are generated using the same BVP solver. Our simulation and experimental results demonstrate the superior performance of the proposed method.

I-Campus: Towards The Information Integration For Uitm Cawangan Melaka Implementation Of Smart Campus

: Due to the advancement in technology and management's needs on the go, i-CAMPUS is developed for UiTM Cawangan Melaka. The i-CAMPUS has been integrated with information and communication technology (ICT) and the Internet of Things (IoT). One of the emerging technologies in IoT that is still new in Malaysia is beacon technology with smartphone applications to serve information based on the user's contextual information. Information is currently is decentralized and disseminated among people on the campus through email and by publishing on the website. In order to allow effective information delivery, i-CAMPUS is proposed and developed using an agile development life cycle approach. The system used the Flutter environment and phpMyadmin as a database management system. Integrated with beacon and geofence technology, the i-CAMPUS user will receive notification information within the application when the mobile application sensed the signal emitted by the beacon in the form of Bluetooth Low Energy (BLE). Each beacon signal is unique, and the information delivered is specified according to the beacon. The i-CAMPUS has been evaluated in terms of functionality and usability. The result shows that i-CAMPUS is working well and enables the visitor to retrieve information anywhere at any time. For future work, the navigation function is recommended to be integrated with this application.

Development of Maritime English Learning Construct in Navigation Functions at Politeknik Ilmu Pelayaran Makassar

Development of Maritime English Learning Construct in Navigation Function of Politeknik Ilmu Pelayaran. Learning in Politeknik Ilmu Pelayaran must be able to adapt to the latest needs in preparing graduates to have knowledge, understanding and skills of Maritime English in navigation functions so that they meet the minimum requirements as a commercial shipping officer as stipulated in STCW. This study aims to determine how the construct of Maritime English learning in navigation functions with a model developed at Politeknik ilmu Pelayaran. The study was conducted with a model development approach and questionnaires were used to collect data. The research sample were student officers of the Diklat Pelaut I, Politeknik Ilmu Pelayaran. The sampling technique used is proportional random sampling. The data were analyzed by qualitative and quantitative method.

A BIM Based Hybrid 3D Indoor Map Model for Indoor Positioning and Navigation

Accurate and fast indoor Location-Based Services (LBS) is very important for daily life and emergency response. Indoor map is the basis of indoor LBS. The model construction and data organization of indoor map are the key scientific problems that urgently need to be solved in the current indoor LBS application. In recent years, hybrid models have been used widely in the research of indoor map, because they can balance the limitations of single models. However, the current studies about hybrid model pay more attention to the model accuracy and modeling algorithm, while ignoring its relationship between positioning and navigation and its practicality in mobile indoor LBS applications. This paper addresses a new indoor map model, named Building Information Modeling based Positioning and Navigation (BIMPN), which is based on the entity model and the network model. The highlight of BIMPN is that it proposes a concept of Step Node (SN) to assist indoor positioning and navigation function. We developed the Mobile Indoor Positioning and Navigation System (MIPNS) to verify the practicability of BIMPN. Results indicate that the BIMPN can effectively organize the characteristics of indoor spaces and the building features, and assist indoor positioning and navigation. The BIMPN proposed in this paper can be used for the construction of indoor maps and it is suitable for mobile indoor positioning and navigation systems.

Development of Driving Cycle Construction for Hybrid Electric Bus: A Case Study in Zhengzhou, China

A driving cycle is important to accomplish an accurate depiction of a vehicle’s driving characteristics as the traction motor’s flexible response to stop and start commands. In this paper, the driving cycle construction of an urban hybrid electric bus (HEB) in Zhengzhou, China is developed in which a measurement system integrating global positioning and inertial navigation function is used to acquire driving data. The collected data are then divided into acceleration, deceleration, uniform, and stop fragments. Meanwhile, the velocity fragments are classified into seven state clusters according to their average velocities. A transfer matrix applied to reveal the transfer relationship of velocity clusters can be obtained with statistical analysis. In the third stage, a three-part construction method of driving cycle is designed. Firstly, according to the theory of Markov chain, all the alternative parts that satisfy the construction’s precondition are selected based on the transfer matrix and Monte Carlo method. The Zhengzhou urban driving cycle (ZZUDC) could be determined by comparing the performance measure (PM) values subsequently. Eventually, the method and the cycle are validated by the high correlation coefficient (0.9972) with original data of ZZUDC than that of the other driving cycle (0.9746) constructed with traditional micro-trip and as well by comparing several statistical characteristics of ZZUDC and seven international cycles. Particularly, with around 20.5 L/100 km fuel and approximately 12.8 kwh/100 km electricity consumption, there is a narrow gap between the energy consumption of ZZUDC and WVUCITY, and their characteristics are similar.