Due to the COVID-19 pandemic and the development of educational technology, e-learning has become essential in the educational process. However, the adoption of e-learning in sectors such as engineering, science, and technology faces a particular challenge as it needs a special Laboratory Learning Management System (LLMS) capable of supporting online lab activities through virtual and controlled remote labs. One of the most challenging tasks in designing such LLMS is how to assess a student's performance while an experiment is being conducted and how stuttering students can be automatically

The original version of this article contained error in author affiliation. Also, the article note and acknowledgement sections are missing. © 2018, Springer Science+Business Media, LLC, part of Springer Nature.

Smart cars, with the emergence of the Internet of Vehicles (IoV), are expected to generate huge volumes of data at rates that typical data management systems will not be able to handle. Such data can be extremely useful to both analytics and machine learning applications. This paper discusses and demonstrates the process of architecting and building a scalable data management system for the IoV in a smart city environment, using Apache Spark, Apache Kafka and Apache Cassandra, which results in a scalable, resilient and fault-Tolerant data management system that facilitates performing big data

Design for Ergonomics is still an important concept in new product development. Although some assessment tools could predict if a certain posture is convenient, determining the ergonomics for a new product is still challenging. In this paper, a full factorial L32 Orthogonal Array design is used in the conceptual design phase for a single- passenger electric car. Design of experiments is used to find the significant variables affecting the comfort of the driver at different confidence levels. The significant variables are identified through Analysis of Variance (ANOVA) and response graph/

The outpatient clinics suffer from various inefficiencies such as long queues, long waiting times and low utilisation of medical resources. Simulation modelling and process improvement techniques have been applied separately to tackle such inefficiencies. This paper demonstrates how simulation modelling and lean management can be integrated to improve the patient flow and performance of outpatient clinics. The proposed framework for integrating lean and simulation consists of three main phases where the first phase includes the system description, data collection and analysis, and simulation

To address the challenges of poor grid stability, intermittency of wind speed, lack of decision-making, and low economic benefits, many countries have set strict grid codes that wind power generators must accomplish. One of the major factors that can increase the efficiency of wind turbines (WTs) is the simultaneous control of the different parts in several operating area. A high performance controller can significantly increase the amount and quality of energy that can be captured from wind. The main problem associated with control design in wind generator is the presence of asymmetric in the

Due to the usage of Internet in everything in our life, our environment is transformed into digital society, in which everything can be accessed from anywhere. This is the main concept of Internet of Things (IoT), which consists of intelligent devices connected together without location limitation. These devices can be sensors and actuators, which are used in environmental monitoring, home automation, disaster management and more. This is the definition of Wireless Sensor Network (WSN), which is considered a subset from IoT environment. WSN consists of hundreds of nodes spread in different

There are trends across modern Customer Relationship Management (CRM) solutions that are centered on emerging technologies such as Artificial Intelligence (AI), internet of things (IoT), and Blockchain to improve the overall customer experience. Smart CRM solutions focus on embedding emerging technologies capabilities within marketing, sales, and service functionalities to turns unpredictable customer journeys into predictive and interactive experiences. For example, applying artificial intelligence and machine learning to customer data and Internet of Things data allows organizations to

The International Association for Management of Technology (IAMOT) is one of the largest scientific associations dedicated to advance the education, research and application of management of technology. The annual IAMOT conference assembles the most prominent scientists and experts in the field. The 17th conference held in 2008 included over 300 papers by experts from various countries. This volume is a collection of the best, high quality papers presented at the conference, covering topics and issues related to the knowledge economy, commercialization of knowledge, green technologies, and

Written by the author who helped crystalize the field of technology management and the management of innovation with the first two editions of Managing Technological Innovation, this Third Edition brings the subject in line with current business strategy. It also presents information in a newer organized format that aligns more closely with how the topics are presented and discussed in the classroom. Also included is a wider discussion of how science and technology interact with the global economy. © 2011 by John Wiley & Sons, Inc. All rights reserved.