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Nowadays, connected vehicles are becoming quite complex systems which are made up of different devices. In such a vehicle, there are several electronic control units (ECUs) that represent basic units of computation. These ECUs communicate with each other over the Controller Area Network (CAN) bus protocol which ensures a high communication rate. Even though it is an efficient standard which provides communication for in-vehicle networks, it is prone to various cybersecurity attacks. This paper aims to present a systematic literature review (SLR) which focuses on potential attacks on CAN bus networks. Then, it surveys the solutions proposed to overcome these attacks. In addition, it investigates the validation strategies aiming to check their accuracy and correctness.

The authors have adopted the SLR methodology to summarize existing research papers that focus on the potential attacks on CAN bus networks. In addition, they compare the selected papers by classifying them according to the adopted validation strategies. They identify also gaps in the existing literature and provide a set of open challenges that can significantly improve the existing works.

The study showed that most of the examined papers adopted the simulation as a validation strategy to imitate the system behavior and evaluate a set of performance criteria. Nevertheless, a little consideration has been given to the formal verification of the proposed systems.

Unlike the existing surveys, this paper presents the first SLR that identifies local and remote security attacks that can compromise in-vehicle and inter-vehicle communications. Moreover, it compares the reviewed papers while focusing on the used validation strategies.

The purpose of this paper is to demonstrate object‐oriented (OO) features in a language, suitable for artificial intelligence (AI), which will execute in a web environment. Earlier researchers have claimed that such a possibility will pave the way for better enterprise systems of tomorrow.

In this paper, the key OO features, inheritance and polymorphism, are presented using suitable examples. Visual Prolog™ is the language used to demonstrate the examples and the same executes in web environment.

This premise definitely matches the fundamental rethinking and radical redesign of existing systems which can aptly be called business process reengineering (BPR) in this field of study. A monolithic/homogeneous expert database design based system supporting AI and OO capabilities which executes in web environment is the result of this study.

There is no argument about the optimality of the search which is carried out while using this environment, which is purely based on the computer language used.

The power of similar environment has enormous potential in developing better enterprise systems of tomorrow. This declarative environment helps enterprise resource planning (ERP) evolve faster towards strategic decision making rather than remaining as transaction processing systems.

It is hoped that this paper will inspire other researchers in the field of BPR of existing ERP systems.

The role of business process re‐engineering (BPR) in implementing enterprise resource planning (ERP) systems is of paramount importance. A variety of approaches are used for such re‐engineering as the best‐fitting ERP solution can only give a maximum of 80 percent fit with the existing workflow of the organization in which ERP is being implemented. The aim of this paper is to focus on the issues involved.

The paper presents some sample ERP installations to come out with various types of business BPR, ranging from small‐r to big‐R, practised while implementing ERP.

Based on the literature review, it could be found that all organizations implementing ERP have chosen their own approach based on organizational constraints and the needs. The importance of BPR in ERP implementation is highlighted in earlier studies.

The recursive relationship between BPR and information technology has only resulted in the rapid evolution of ERP systems. ERP integration with supply chain management and its web readiness are major agenda for ERP developers. Many re‐engineering possibilities are yet to evolve based on research in knowledge, artificial intelligence and expert database systems. A suitable approach to implement the same in an organization can only be done using the most suitable approach and hence the importance of the BPR approaches presented here along with their advantages and disadvantages.

As the various BPR approaches are categorized based on implementation followed by major corporations, it is definitely a forerunner for any ERP‐implementing organization under study. Also the common problems encountered during re‐engineering for ERP implementation and the suggested remedial measures are presented based on earlier work.

An attempt has been made to identify BPR problems, causes and approaches used in implementing ERP solutions. It is only aimed at synthesis of technical and general issues using the literature.

Characterisation and use of dielectric materials with high permittivity are one of the most developed areas of research in microwave circuit simulation. This is mainly because of their various applications in VHF/UHF and microwave frequencies (correlators, instrumentation systems, …). The primary virtue of high‐dielectric substrates for microwave circuits is the reduced size. Since the high dielectric microstrip line also exhibit low loss and useful impedance range, this class of circuits will undoubtedly find wide applications in microwave integrated circuitry.

Owing to the complexity of the electromagnetic problem, numerical methods become an indispensable tool for analysis and modeling of electromagnetic structures. They are the basis to set‐up computer‐aided design (CAD) packages. These models must be accurate, reliable, easily extracted and need limited computational requirements. Since there was a demand for a model able to describe these parameters accurately, an extension of the spectral domain approach (SDA) is proposed for microstrip lines with high permittivity. The analysis is based on the solution of a system of algebraic equations, which are derived from Galerkin's technique in the spectral domain.

Analytical expressions are deduced by curve‐fitting techniques. These expressions can be easily implemented in a CAD simulation tool to design wireless communication components. In this paper, we have developed accurate and suitable general expressions for characteristic parameters for a wide range of ε_r between 1 and 500. The computed results were compared to those available in the literature when possible. In order to validate our models for high values of dielectric constant (128 < ε_r<500), neural models were generated for the characteristic impedance and effective permittivity. A very good agreement is demonstrated.

The originality of this paper consists on the development of design formulas to characterise the microstrip lines with high dielectric constant substrate. Closed form equations are almost non‐existent in the technical literature since the available design formulas have been developed only for dielectric media value ε_r not exceed 128.

Power modules including the insulated gate bipolar transistor (IGBT) are widely used in the applications of motor drivers. The thermal behavior of these modules makes it important to choose the optimum design of cooling system. The purpose of this paper is to propose an RC thermal model of the dynamic electro‐thermal behavior of IGBT pulse width modulation inverter modules.

The electrothermal model has been implemented and simulated with a MATLAB simulator and takes into account the thermal influence between the different module chips based on the technique of superposition.

This study has led to a correction of the junction temperature values estimated from the transient thermal impedance of each component operating alone.

In this paper, an experimental technique of a thermal influence evaluation is presented.

This research aims to improve supply chain management performance through the successful usage of ERP system. This can be through investigating the relationship between enterprise resource planning (ERP) system and supply chain management (SCM) performance in the context of Malaysian manufacturing companies that use ERP system.

The questionnaire survey was posted to the Malaysian manufacturing companies that are using ERP system in order to investigate the relationship between ERP system and SCM performance. The respondents of this study were the MIS or IT executives. A total of 80 usable responses were received and used in the analysis.

The findings of this research indicated that there is a positive and significant relationship between ERP system i.e. (integration, material management, production planning, and controlling), and SCM performance. The workflow management, however, does not have a significant relationship with SCM performance. The findings of this study imply that the successful implementation and the effective usage of ERP system can contribute toward enhancing supply chain management performance in many ways such as, integration of internal business processes, enhancement of information flow among different departments inside the company, improvement of the company's relationships and collaboration with outsourcing suppliers, customers, and supply chain partners.

This research focuses only on post‐implementation of ERP system life cycle, where ERP system passes through three implementation stages of system life cycle and that includes pre‐implantation stage, implementation stage, and finally post‐implementation stage. Two or three stages of ERP system life cycle could be investigated simultaneously.

There should be many success records in ERP system and this is to prove to companies that ERP systems can contribute toward improving their overall business performance. Therefore, this research encourages companies to adopt ERP systems and then contribute to technology diffusion. The finding of this study supports this justification and records a new success of ERP systems in Malaysian manufacturing companies.

The results of this study will enable companies to achieve optimum usage of ERP system after the implementation stage and help to avoid system failure and achieve better SCM performance. The study contributes toward technology diffusion between companies through reducing the likelihood of ERP systems failure, and therefore introduces ERP systems to other manufacturing companies in Malaysia.

This paper aims to develop a non-linear finite element model predicting the response of externally strengthened beams under a three-point flexure test.

The ANSYS software is used for modeling. SOILD65, LINK180, SHELL181 and SOLID185 elements are used, respectively, to model concrete, steel reinforcement, polymer and steel plate support. A parametric study was carried out. The effects of compressive strength, Young’s modulus, layers number and carbon fiber-reinforced polymer thickness on beam behavior are analyzed. A comparative study between the non-linear finite element and analytical models, including the ACI 440.2 R-08 model, and experimental data is also carried out.

A comparative study of the non-linear finite element results with analytical models, including the ACI 440.2 R-08 model and experimental data for different parameters, shows that the strengthened beams possessed better resistance to cracks. In general, the finite element model’s results are in good agreement with the experimental test data.

This model will predict the strengthened beams behavior and can describe the beams physical conditions, yielding the results that can be interpreted in the structural study context without using a laboratory testing.

On the basis of the results, a good match is found between the model results and experimental data at all stages of loading the tested samples. Crack models obtained in the non-linear finite element model in the beams are also presented. The submitted finite element model can be used to predict the behavior of the reinforced concrete beam. Also, the comparative study between an analytical model proposed by of current code of ACI 440.2 R-08 and finite element analysis is investigated.

The purpose of this study is to extract the response of the simultaneous low-velocity impact of multiple impactors on a porous functionally graded (FG) aluminum plate.

To design a porous FG structure, a series of functions are applied using the porosity coefficient, and mechanical properties including Young’s modulus, shear modulus and the density of the porous structure are presented as a function of the axis placed in the direction of the plate thickness. The first-order shear deformation theory of the plate is used. To simulate the contact process between each impactor and the plate, a nonlinear Hertz contact force is considered for that impactor independently.

ABAQUS finite element software is used for the verification process of the theorical equations. The effects of porous function type, radius and initial velocity of impactor are investigated for the simultaneous impact of five impactors on porous FG aluminum plate with a simply supported boundary condition. Histories of contact force and displacement of the impactor placed in the center of the beam are analyzed in detail with the changes of the mentioned parameters.

Due to the advantages of porous aluminum plate such as high energy absorption and low weight, such structures may be subjected to the simultaneous impact of multiple impactors, which is studied in this research.

The study aims to review state-of-art literature on supply chain resilience in SMEs in the context of the coronavirus (COVID-19) pandemic and provides a comprehensive view of insights gained, gaps identified and suggests potential areas of future research.

Using a thorough search strategy, 46 articles were found relevant for this study. Each of these articles was further reviewed, classified and analysed to highlight the development of literature in this field and identify the significant focal area of research in this domain.

The classification of studies indicates a growing number of articles in the last two years with a significant focus on multiple industries and survey-based research design. The study's findings suggest that literature on supply chain resilience in SMEs falls into four categories: supply chain resilience principle, impact of COVID-19 pandemic on SMEs, strategies for developing supply chain resilience and role of Industry 4.0 technologies in supply chain resilience. We also identified knowledge gaps and suggested directions for future research to catalyse studies at the interface of supply chain resilience, SMEs and COVID-19 pandemic.

The generalisability of this study can be limited to a specific population of online databases and selected time periods chosen for a particular period.

The study provides a structured literature review on studies published between 2012 and 2022 for the use of academicians and practitioners. Findings will be of great value for SMEs to improve their resilience during the uncertain business environment.