Nowadays, Internet of Things (IoT) adoptions are burgeoning and deemed the lynchpin towards achieving ubiquitous connectivity. In this context, defining and leveraging robust IoT security risk management strategies are paramount for secure IoT adoptions. Thus, this study aims to support IoT adopters from any sector to formulate or reframe their IoT security risk management strategies to achieve robust strategies that effectively address IoT security issues. In a nutshell, this article relies on a mixed methods research methodology and proposes a reference model for IoT security risk management strategy. The proposed IoT security risk management strategy reference model (IoTSRM2) relies on the 25 selected IoT security best practices which are outlined using a proposed taxonomic hierarchy, and on the proposed three-phased methodology that consists of nine steps and outputs. The main contribution of this work is the proposed IoTSRM2 which consists of six domains, 16 objectives, and 30 prioritized controls. Furthermore, prior to providing the related work, this article provides a critical evaluation of selected informative references of IoTSRM2 based on their percentage-wise linkage to the IoTSRM2 domains and to the entire IoTSRM2. The findings of the critical evaluation illustrate, inter alia, the selected informative references that are the top three most and least linked to the entire IoTSRM2.

Nowadays, the intelligent transportation concept has become one of the most important research fields. All of us depend on mobility, even when we talk about people, provide services, or move goods. Researchers have tried to create and test different transportation models that can optimize traffic flow through road networks and, implicitly, reduce travel times. To validate these new models, the necessity of having a calibration process defined has emerged. Calibration is mandatory in the modeling process because it ensures the achievement of a model closer to the real system. The purpose of this paper is to propose a new multidisciplinary approach combining microscopic traffic modeling theory with intelligent control systems concepts like fuzzy inference in the traffic model calibration. The chosen Takagi–Sugeno fuzzy inference system proves its adaptive capacity for real-time systems. This concept will be applied to the specific microscopic car-following model parameters in combination with a Kalman filter. The results will demonstrate how the microscopic traffic model parameters can adapt based on real data to prove the model validity.

In this paper, the performance of variable speed wind turbine concept with cage rotor induction generator connected to the grid is investigated. Variable-speed wind turbine generator system has been modeled and simulated to study their steady state and dynamic behavior. A cage rotor induction machine of 11 kW rating with a vector controlled back-to-back PWM-VSI inverter on the stator side have been tested and the results compared with digital simulations. The cage rotor induction machine allows good speed range and it should be used in low-power variable-speed systems, replacing the classical direct grid connected fixed speed wind generator systems. Its capacity to deliver reactive power is remarkable.

In the COVID-19 and post-pandemic business environment, leveraging robust Internet of Things (IoT) security risk management strategies becomes of particular importance to IoT adopters. Thus, given that no research study was found to exclusively focus on the current state of IoT security risk management strategies in organizations, this article aims to support IoT security practitioners to peer benchmark and enhance their IoT security risk management strategies. In a nutshell, this study relies on a mixed methods research methodology, and its main contribution is the determination of the current state of the IoT security risk management strategies in the surveyed organizations relative to our IoT Security Risk Management Strategy Reference Model (IoTSRM2). Hence, this study entails designing and conducting a survey, analyzing survey responses, and reporting survey results based on our IoTSRM2 and proposed three-phased survey methodology. Furthermore, before discussing the related work, this article provides our survey results for the surveyed large and small-medium organizations, the surveyed large organizations, and the surveyed large Technology, Media, and Telecom (TMT) organizations. For instance, our results reveal that while most surveyed organizations perform IoT risk assessments and focus on IoT infrastructure resilience, they fail in strategizing IoT governance and risk management, among others.

The authors are proposing a transmission cost allocation method, using the real and reactive power flow tracing. It is based on Z bus system matrix. The real and reactive power losses are considered. The case study refers to the 12 buses test power system, heaving 6 P-U buses and 6 P-Q buses. The comparison is performed for neglecting and considering the transversal conductance.