The emergence of China as a global superpower has presented numerous challenges, among which is the growing threat posed by Chinese cyber warfare units. Operating under the People's Liberation Army (PLA), these units have been implicated in various high-profile cyber-attacks targeting both civilian and military entities worldwide. This paper endeavors to offer a comprehensive analysis of the risks presented by Chinese cyber warfare units, encompassing their organizational structure, tactics, and capabilities. By elucidating the nature and extent of this menace, we hope to enable governments and organizations to implement measures for better protection against Chinese cyber-attacks, as 80% of them target government bodies. In this study, we utilize the MITRE ATT&CK framework as a foundation to deliver an accessible, informative overview.

A vehicle is a means of transportation, such as a car, truck, or train, that is capable of moving people or goods from one place to another. Vehicles can be classified based on various factors, such as the type of fuel they use (e.g. gasoline, diesel, electricity), the number of wheels they have (e.g. two, four, six), and their intended use (e.g. passenger transportation). Vehicles may have connectors, such as plug sockets or fuel ports, that allow them to be connected to other devices or systems to form Vehicle-to-Everything (V2X) technology. For example, an Electric Vehicle (EV) may have a charging port that allows it to be connected to an electric power source to recharge its batteries such Vehicle-to-Grid (V2G) as one of the V2X forms. One of the challenges in charging EVs is the availability of charging infrastructure. In many places, there are relatively few public charging stations, which can make it difficult for EV owners to find a place to charge their vehicles when they are away from home. Additionally, charging an electric vehicle can take significantly longer time than filling up a gasoline-powered vehicle, which can be inconvenient for some drivers. In this review, the various topologies of V2X, connectors, charging challenges, and EV impact types on the grid are conducted.

Electric Vehicles (EVs) as hotspot research are increasingly being used as alternative energy sources outside of transportation due to global variables like energy usage and environmental concerns. Gridable Electric Vehicle (GEV) is exploiting the opportunity for connecting EVs to the grid. EVs are now capable of contributing to addressing power limitations and acting as a reserve source of energy for the distribution grid in the Electric Vehicle Charging Facility (EVCF) to form Vehicle-to-Home (V2H). This paper is introduced to estimate impacts on the load for the uncertain behavior of EVs under domestic load after being sized using algorithms. Although, the integration of EVs provides an economical and environmental solution with a positive impact, however, it affects the power system when the uncertain number of EVs is provided as heavy duty. Sensitivity analysis has been considered in the study to investigate the expected changes in the system from the affected components.

The application of feature selection to fault diagnosis is presented. First, Filtered data identification algorithm is derived for controlled autoregressive autoregressive (CARAR) system in order to estimate the system parameters. The Proposed technique offers a high computational efficiency. These estimated parameters are referred as features and these features are not all have the same informative value. Next, features selection is carried out using principal components analysis. Finally, the simulation results demonstrate the value of the suggested procedures.

This work intends to improve the educational process through the development of teachers skills and raise the level of learning by reducing the problems and obstacles facing the teacher and providing many different learning methods. This is done through expert systems, which is one of the important fields of knowledge-based artificial intelligence, where the expert system acquires all the information acquired by the expert in the field of mathematics by transferring all his scientific experience and how the mathematics expert deals with it, so that the knowledge acquired by experts in the field of mathematics is collected. In order to prepare a knowledge base and deal with it through the expert system, as well as the possibility of making the expert system that the teacher deals with, ready to answer any inquiries or the possibility of explaining any part of the curriculum on demand.

In many missions of rotating machines such as compressors, engines, turbines and large centrifugal pumps use Journal bearings to support and guide rotating shafts due to the high load capacity of this type of bearing. The effect of operating conditions on heavy duty in the journal bearings will degrade machine performance, reduce life time and increase risk. The application of high-frequency Acoustic Emissions AE signals is used to carry information about the details of the micro-collision process. Furthermore, the AE for journal bearing diagnosis is gaining acceptance as a useful complementary tool for the condition monitoring. The experimental investigation has been conducted to demonstrate the effect AE characteristics of the journal bearing in different critical operating conditions. The parameters rotational speed and radial load as well as different lubricant viscosity are mainly measured. For the overcoming occurrence of the bearing failures a comprehensive monitoring method has developed between friction in asperity contact and energy release of AE signals for journal bearing. A mathematical model is applied in order to obtain an insightful understanding of the influences operating parameters on the energy of AE generated in rolling element bearing. The obtained results showed that the potential of AE technology and data analysis method applied for monitoring the asperities contact condition in journal bearings, which will be vital for developing a comprehensive monitoring system, supporting the optimal design by simulating the Stribeck curve and operation of journal bearings. 

this paper presents feature selection for fault diagnosis based on recursive generalized extended least squares algorithm (RGELS). RGELS model is derived and validation of this model is tested utilizing good statistical methods, which, namely best-fit criterion. The system parameters are estimated employing the proposed algorithm. Dimension reduction of the system parameters is done to get best important features using linear discriminant analysis. Finally, the simulation results confirm the effectiveness of the algorithm.

Produced water from carbonate reservoir can be reinjected into the formation to stimulate hydrocarbon production in aging wells. This is known as water injection or water flooding. This is the most economically friendly method of produced water disposal. In this paper, a laboratory approach to compare and evaluate the efficiency of formation and sea water injection for enhancing oil recovery at room condition in carbonate reservoirs. The main objective of this paper to achieve the maximum oil recovery for the limestone rock by using formation and sea water. This study was conducted using several samples of limestone rock saturated with oil by placing them in the reservoir conditions by placing them in a vacuum oven to ensure complete saturation of the samples with oil and then extracting the oil from them using liquid permeability where the samples are injected by formation and sea water. The oil recovery by formation water injection is range from 26.4 % to 47 %. The oil recovery by sea water injection is range from 0.00 % to 10 %. The oil recovery factor for formation water injection is higher than the oil recovery factor for sea water injection.

The implementation of Building Information Modeling (BIM) in the Libyan construction industry is still in its early stages. However, there is a growing interest in BIM among industry professionals due to its potential to improve project efficiency, reduce errors, and enhance collaboration between project stakeholders. There is potential for significant growth in the future as industry professionals become more familiar with BIM and its benefits and as the government and industry associations take steps to promote its adoption. This study investigates the potential of Building Information Modeling (BIM) implementation and the barriers to non-implement BIM in the Libyan construction sector. 500 questionnaires were sent out via online survey, and 101 completed questionnaires were returned and analyzed using the mean index and ranking method as part of the investigation. The study's findings indicated that BIM currently can be used in the design and operation stages, and it is strongly advised that might be implemented for all phases of Libyan building over the project lifecycle.

Class E power amplifier circuit consists mainly of a transistor operates as a switch, load network and series LC filter tuned to fundamental frequency. There is different configurations to realize class E power amplifier circuit according to the load network such as: shunt capacitance configuration, shunt inductance configuration and parallel circuit configuration. In this paper the performance parameters (such as: PAE, overall efficiency, drain efficiency, gain, drain voltage and current waveforms) of class E power amplifier with shunt capacitance configuration at frequencies [0.25, 0.5, 0.75 and 1 GHz] are observed