Future engineers shall not only good at knowledge and technology but also good at other attributes such ethical, professional as well as managing people and emotion. Service learning is an effective education model to develop more holistic engineers. However, there is a lack of service learning framework that integrates technology, in order to achieve the acquisition of the above attributes. This paper describes how drone technology is disseminated by engineering students to the public through a service learning programme. Document analysis of the course information, project reports, and students’ reflections were employed in this study to identify the learning process and attributes developed by the students. the students went through 6 phases of service learning implementation. Results show that the service learning has enhanced the students’ learning, sense of responsibility, accountability, and international exposure. These are essential to develop good engineers in the future.

Modern approaches to distributed software systems engineering are tightly bounded with formal methods usage. The effective way of certain method application can leverage significant outcome, in terms of corresponding time costs reduction for instance. To this end the TLC model checker has been consideredwith respect to TLA+ specifications with concurrent structure. The concurrency itself has been implemented as interleaving. Two different approaches to TLC model checking have been used. The first approach is based on model checking via breadth-first state space search (BFS), the second onevia depth-first search (DFS). The main result of a paper is the new approach to increasing the effectiveness of TLC verification with respect to the concurrent structure of TLA+ specification. To analytically represent synthesized TLA+ specifications with concurrent structure, the Kripke structure has been taken. To assess the measures of state space explosion problem, taking place during the experimentation, the appropriate estimations have been proposed. These estimations have been proved during the case study. The composite web service usage scenario has been considered as a case study. The results, obtained during the experimentation, can be used to increase the effectiveness of automated TLC verification with respect to the concurrent structure of TLA+ specification.

In today’s accelerated growth of mobile device technology, resource utilization in access network will continue to draw more attention to the increasing mobile user devices and applications. The main objective is to address the issue of QoS resource utilization efficiency. This paper combines the Ant Colony Optimization (ACO) algorithm and the Particle Swarm Optimization (PSO) algorithm to provide the optimum routing and to improve the QoS resource utilization efficiency. This proposed hybrid ACO-PSO algorithm uses the IEEE 802.11 DCF standard with multi-antenna scheme (MIMO) of Mobile Ad-hoc Network (MANET) to apply into integrated wireless (MANET) optical (PON network) based in Software Defined Network (SDN) with cloud computing. IEEE 802.11 Wireless Local Area Network (WLAN) gives the opportunity to its users to practice the wireless environment and full functionality of “anything, anytime, anywhere” concept. The proposed work is implemented using the OMNeT++ software where it investigates the QoS performance. These metrics include all nodes throughput, bandwidth, and load balance, routing and control overhead improvement with reduction. They also comprise of RSSI, end to end delay, Packet Delivery Ratio, network capacity, packet loss probability, as well as power consumption in all wireless nodes and energy consumption from wireless domain to wired domain.

Research and development advancements in the area of Vehicle Door Security using Smart Tag and Fingerprint System. Fingerprint biometric is one of the popular, ubiquitous, reliable, economical and efficient biometric technologies. Due to its versatility, fingerprint biometric is applicable. Fingerprint is popular because of its universality, uniqueness, permanence, acceptability, performance [1]. The Arduino as a controller between RFID Sensor, Fingerprint Sensor, Buzzer, LCD, LED and Relay. This research implemented for security purpose to protect the safety of vehicle from vehicle theft or burglary. It is very useful and important for alert the people who have vehicle to protect it from theft. This is a very important system to be implemented at the main door of vehicle. The system started to work when the user access either than one system fingerprint or smart tag to lock and unlock the door. The fingerprint system only user can access their fingerprint whereas the smart tag system can access by user or user’s intimate relative when they borrow the vehicle for emergency. The vehicle door cannot be opened when unmatched fingerprint is access or incorrect smart tag is access. Once the incorrect smart tag is access by unauthorized person, the buzzer will be activated and produce a high level of alarm sound to alert the user. The Arduino Uno microcontroller is controlled by the entire system of the project. Hence, it is easy to implement and available to use because it has a simple function, so this system can be enhancing with modern technology so it can be applying into vehicle part for secure the vehicle

Internet of Things (IoT) is one of the newest matters in both industry and academia of the communication engineering world. On the other hand, wireless mesh networks, a network topology that has been debate for decades that haven’t been put into use in great scale, can make a transformation when it arises to the network in the IoT world nowadays. A Mesh IoT network is a local network architecture in which linked devices cooperate and route data using a specified protocol. Typically, IoT devices exchange sensor data by connecting to an IoT gateway. However, there are certain limitations if it involves to large number of sensors and the data that should be received is difficult to analyze. The aim of the work here is to implement a self-configuring mesh network in IoT sensor devices for better independent data collection quality. The research conducted in this paper is to build a mesh network using NodeMCU ESP 8266 and NodeMCU ESP 32 with two types of sensor, DHT 11 and DHT 22. Hence, the work here has evaluated on the delay performance metric in Line-of-Sight (LoS) and Non-Line-of-Sight (nLos) situation based on different network connectivity. The results give shorter delay time in LoS condition for all connected nodes as well as when any node fail to function in the mesh network compared to nLoS condition. The paper demonstrates that the IoT sensor devices composing the mesh network is a must to leverage the link communication performance for data collection in order to be used in IoT-based application such as fertigation system. It will certainly make a difference in the industry once being deployed on large scale in the IoT world and make the IoT more accessible to a wider audience.