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Wireless mesh networks (WMNs) have become a popular solution for expanding internet service and communication in both urban and rural areas. However, the performance of WMNs depends on generating optimized time-division multiple access (TDMA) schedules, which distribute time into a list of slots called superframes. This study proposes novel meta-heuristic algorithms to generate TDMA link schedules in WMNs using two different interference/constraint models: multi-transmit-receive (MTR) and full-duplex (FD). The objectives of this study are to optimize the TDMA frame for packet transmission, satisfy the constraints, and minimize the end-to-end delay. The significant contributions of this study are: (1) proposing effective and efficient heuristic solutions to solve the NP-complete problem of generating optimal TDMA link schedules in WMNs; (2) investigating the new FD interference model to improve the network capacity above the physical layer. To achieve these objectives and contributions, the study uses two popular meta-heuristics, the artificial bee colony (ABC) and/or genetic algorithm (GA), to solve the known NP-complete problems of joint scheduling, power control, and rate control. The results of this study show that the proposed algorithms can generate optimized TDMA link schedules for both MTR and FD models. The joint routing and scheduling approach further minimizes end-to-end delay while maintaining the schedule's minimum length and/or maximum capacity. The proposed solution outperforms the existing solutions in terms of the number of active links, end-to-end delay, and network capacity. The research aims to improve the efficiency and effectiveness of WMNs in most applications that require high throughput and fast response time.

A system with distributed parameters in its mechanical part is considered. Examples of such a system are given. The reason for taking into account the distribution of parameters in such systems is indicated. Existing methods of research and calculation of control systems are considered. The boundary value problem for a system with distributed parameters is presented. The use of a surveillance device as one of the ways to implement a control system for a system with distributed parameters is proposed. The necessity of using a closed control system and the complexity of its implementation are demonstrated. A block diagram of the control method being developed is presented. Also, transfer functions describing a system with distributed parameters are given; the mathematical calculation of the surveillance device is given as well. A method for implementing a closed control system along an intermediate coordinate for an electromechanical system with distributed parameters in the mechanical part using a surveillance device has been obtained. The surveillance device is in feedback and restores the output speed without measuring it directly. A general view of the transfer function is determined for the surveillance device. The advantages and disadvantages of the transfer function of the surveillance device and a graphical view of a simple implementation of the surveillance device with a dedicated auxiliary device in feedback are presented. An approximation that is used for systems with distributed parameters is described. Approximation conclusions are obtained. According to the parameters of the experimental installation, approximated transfer functions of the mechanical part of the system with distributed parameters without a surveillance device and with a surveillance device are obtained. The LACH of the mechanical part of the system with distributed parameters with a surveillance device and without a surveillance device for an experimental installation for the simplest case is presented, as well as a method for implementing a closed control system along an intermediate coordinate for an electromechanical system with distributed parameters in the mechanical part using a surveillance device.

Protecting electronic documents, especially those containing sensitive data, is a major challenge in an open web. The data security industry has long struggled to manage the security of e-books, data shows that information security issues can cause significant economic losses after three years Although cryptographic methods have been proposed as a solution in of these challenges Focusing on speed and efficiency The shortcomings of traditional encryption methods have been thoroughly examined Although a number of network management techniques assure retention privacy and integrity though, when it comes to encryption. Digital signature algorithms, although effective in detecting unauthorized changes and limiting the scope for copyright protection, do not ensure the confidentiality of shared electronic documents When addressing research gaps addressing this issue, the paper proposes a security framework for electronic documents that combines three important security mechanisms: encryption, digital signatures, and watermark algorithms Dhishu By matching their strengths, constraints are overcome. The combination of encryption and digital signatures is explored as a promising approach to protecting electronic documents, ensuring authenticity and confidentiality Importantly, the need to explore security mechanisms such as digital is highlighted emphasis on handwriting, encryption, and watermarking systems in depth.

In this paper introduces an integrated method for the design and performance analysis of hybrid electric vehicles. This method considers a set of parameters that influence the system's performance. This project presents an approach for modelling electric vehicles considering the vehicle dynamics, drive train, rotational wheel and load dynamics. The performance of the hybrid electric vehicle is not satisfactory owing to the difficulties of optimal gain selections. To overcome this problem, a new fuzzy logic controller is required to set the rules for better performance. Therefore, in this project fuzzy logic-based gain tuning method for PID controller is proposed and compared with some previous control techniques for the better performance of electric vehicles with an optimal balance of acceleration, speed, travelling range, improved controller quality and response. The model was developed in MATLAB/Simulink, simulations were conducted, and results were observed

With the increasing concern about the environment, renewable energy development is imminent, and biomass utilization is an essential part of it. In many regions (e.g., Southeast Asia), palm kernels are a very economical feedstock for biomass energy production. However, the collection and transportation of palm kernels are complicated, which is not conducive to the further development of this industry. This paper analyzes the current situation of collection and transportation of palm kernels in Southeast Asian countries using basic analysis methods. Meanwhile, the characteristics of palm fruit bunches as biomass fuel and its transportation and handling methods are briefly introduced and analyzed concerning the fuel demand of biomass power generation projects. The shortcomings of the current methods were identified, and relevant directions for improvement were proposed. It is hoped that it can improve the transportation efficiency of palm fruit bunches as a feedstock for biomass power generation and provide a reference basis for the collection and transportation of palm fruit bunches biomass.

With the increase of harmful substances and greenhouse gases that need to be discharged from the traditional thermal power in industrial production in China, the phenomenon of climate warming is becoming more and more prominent. Clean energy will continue to increase in China's future energy consumption structure and market share, hydropower, nuclear power, and other energy as China's main clean energy, the future in China still has a huge market development and use of space. The new policies further adopted by the central bank of China include: continuously optimizing the structure of reasonable credit fund allocation and risk fund application for electric power enterprises to enhance the return rate of assets of electric power enterprises; continuously supporting the development of smart grid and strengthening the linkage between network and electric power; reasonably and categorically guiding the source of clean utilization of electric power, actively supporting large hydropower generation and solar and nuclear power generation, and investing funds in a controlled manner to support large thermal power generation, promote the upgrading of the thermal power generation industry structure, cautiously guide funds into large biomass power generation, wind power generation and small and medium-sized micro-hydro power, strictly control small and medium-sized thermal power, as soon as possible to withdraw from the implementation of the national preferential policies for small and medium-sized power industry management system, energy conservation and reduction of harmful emissions of environmental gases of enterprises is not possible to meet the standards and there are financial risks business efficiency situation Small and medium-sized electric power enterprises that continue to seriously deteriorate.

To solve the problem of large recognition errors in traditional attack information identification methods, we propose a machine learning (ML)-based identification method for electric power Internet attack information. Based on the Internet attack information, an Internet attack information model is constructed, the identification principle of the power Internet attack information is analysed based on ML, hash fixing is conducted to ensure that the same attack information will be assigned to the same thread and that the deviation generated by noise can be avoided so that the real-time lossless processing of the power Internet attack information can be ensured. The vulnerability adjacency matrix is constructed, and the vulnerability is quantitatively evaluated to complete the design of the optimal identification scheme for power Internet attack information. The experimental results show that the identification accuracy of the method can reach 98%, which can effectively reduce the risk of power Internet network attacks and ensure the safe and stable operation of the network

Blockchain innovation has picked up expanding consideration from investigating and industry over the later a long time. It permits actualizing in its environment the smart-contracts innovation which is utilized to robotize and execute deals between clients. Blockchain is proposed nowadays as the unused specialized foundation for a few sorts of IT applications. Blockchain would aid avoid the duplication of information because it right now does with Bitcoin and other cryptocurrencies. Since of the numerous hundreds of thousands of servers putting away the Bitcoin record, it’s impossible to assault and alter. An aggressor would need to change the record of 51 percent of all the servers, at the precise same time. The budgetary fetched of such an assault would distantly exceed the potential picks up. The same cannot be said for our private data that lives on single servers possessed by Google and Amazon. In this paper, we outline major Blockchain technology that based as solutions for IOT security. We survey and categorize prevalent security issues with respect to IoT data privacy, in expansion to conventions utilized for organizing, communication, and administration. We diagram security necessities for IoT together with the existing scenarios for using blockchain in IoT applications.

Recent technical developments in wi-fi networking, microelectronic integration and programming, sensors, and the Internet have enabled us to create and enforce a range of new Framework Scheme to fulfill the necessities of healthcare-related Wireless Body Area Network (WBAN). WBAN sensors continually screen and measure patients' indispensable signs and symptoms and tell them to scientific monitoring for diagnosis. WBAN has a range of applications, the most necessary of which is to help sufferers in final alive. The quality instance is the coronary heart implant sensor, which video display units the coronary heart sign and in this case transmits a sign continuously. This eliminates the want sufferers to go to the medical doctor as frequently. Instead, sufferers can take a seat at domestic and acquire an analysis and prescription for the disease. Today, a sizable effort is being made to increase low-power sensors and gadgets for utility in WBAN. We endorse a New Framework Scheme in this paper that addresses the route loss trouble in WBAN and discusses its penalties in depth. We apply the new Framework Scheme on three case scenarios that help us to get parameter that get it by measure vital information about the human body. On-body and intra-body conversation simulations have been conducted. On-Body conversation findings point out that the route loss between transmitter and receiver rises with growing distance and frequency.

Wireless mesh networks (WMNs) have become a popular solution for expanding internet service and communication in both urban and rural areas. However, the performance of WMNs depends on generating optimized time-division multiple access (TDMA) schedules, which distribute time into a list of slots called superframes. This study proposes novel meta-heuristic algorithms to generate TDMA link schedules in WMNs using two different interference/constraint models: multi-transmit-receive (MTR) and full-duplex (FD). The objectives of this study are to optimize the TDMA frame for packet transmission, satisfy the constraints, and minimize the end-to-end delay. The significant contributions of this study are: (1) proposing effective and efficient heuristic solutions to solve the NP-complete problem of generating optimal TDMA link schedules in WMNs; (2) investigating the new FD interference model to improve the network capacity above the physical layer. To achieve these objectives and contributions, the study uses two popular meta-heuristics, the artificial bee colony (ABC) and/or genetic algorithm (GA), to solve the known NP-complete problems of joint scheduling, power control, and rate control. The results of this study show that the proposed algorithms can generate optimized TDMA link schedules for both MTR and FD models. The joint routing and scheduling approach further minimizes end-to-end delay while maintaining the schedule's minimum length and/or maximum capacity. The proposed solution outperforms the existing solutions in terms of the number of active links, end-to-end delay, and network capacity. The research aims to improve the efficiency and effectiveness of WMNs in most applications that require high throughput and fast response time. [ABSTRACT FROM AUTHOR]

This research paper presents experimental investigations conducted on electromechanical systems with distributed parameters in their mechanical parts, exploring their behavior in both the frequency and time domains. The study emphasizes the significance of considering parameter distribution in such systems and identifies the most influential element responsible for their distributed characteristics. The experiments were performed across various technological fields, illustrating the relevance and broad applicability of the findings. To conduct the experimental research, a comprehensive setup was developed, utilizing a range of measuring devices to capture relevant data. The paper outlines the design and implementation of a software and hardware complex, integrating StrimServer and CANMonitor programs, which played a crucial role in data acquisition and analysis. Additionally, the research delves into the development of a control system, detailing the process of creating the simplest corrective device. The study elucidates the element responsible for processing information as part of a module and highlights the programming environment utilized for developing the control program. A set of programs for programming a controller is also presented. The obtained results from the experiments in the frequency domain demonstrate valuable insights into the behavior of electromechanical systems with distributed parameters. Furthermore, the study presents experiments conducted with and without the developed methodology for synthesizing the control system, showcasing the effectiveness of the proposed approach. The accuracy of the experimental results is validated through a careful comparison with theoretical calculations. The maximum relative error between theoretical and experimental outcomes is found to be within 10%, affirming the reliability of the theoretical calculations for engineering purposes. In the time domain analysis, the paper showcases current graphs obtained using the CANMonitor program at different oscillation frequencies. Notably, the study reveals a significant increase in current amplitude at the resonant frequency, providing crucial information for understanding and designing electromechanical systems with distributed parameters. The results presented in this paper can provide a strong foundation for further advances and applications in the mining and material handling industries. [ABSTRACT FROM AUTHOR]

The internet of medical things (IoMT) has transformed the healthcare sector by facilitating real-time monitoring, remote patient care, and tailored healthcare solutions. However, the challenge of upholding a high standard quality of service (QoS) in IoMT implementations remains a pressing issue. This article delves into the possibilities of utilizing 5G networks and smart techniques to optimize QoS within IoMT systems. By capitalizing on the capabilities of 5G networks, including substantial bandwidth, minimal latency, and extensive connectivity, in conjunction with intelligent methods such as machine learning and predictive analytics, this paper introduces novel strategies to enhance QoS in IoMT environments. The summary underscores the advantages of these methods in elevating network dependability, diminishing latency, enhancing data transmission efficiency, and enabling resource allocation efficiency in IoMT deployments. Additionally, it explores the potential ramifications of these developments on healthcare outcomes, patient contentment, and the overall effectiveness of the healthcare system. The conclusions propose that by maximizing QoS through 5G networks and intelligent techniques, IoMT holds the potential to significantly enhance the delivery of healthcare services, fostering a more interconnected and efficient healthcare ecosystem in the process innovation. [ABSTRACT FROM AUTHOR]

The ambiguity problem is widely distributed in Vietnamese sentences and impacts the accuracy of word segmentation. In this paper, we proposed a Vietnamese word segmentation method based on CRF (Condition Random Field) and cross ambiguity models, which we combined with Vietnamese lexical features to incorporate essential characteristics of Vietnamese into Condition Random Fields. Overall, 5377 ambiguity fragments were extracted from the training corpus, selected statistical features, ambiguity field internal features and ambiguity contextual features and placed into the maximum entropy model and cross ambiguity model, and then incorporated into the segmentation model. The training corpus is divided into ten copies evenly for the cross validation experiment, the segmentation accuracy reached 96.55%. And compared with the Vietnamese segmentation tool, VnTokenizer, the experimental results suggest that our proposed method for Vietnamese segmentation performs well and is precise. The precision and recall rates of the proposed model are increased by 1.34% and 0.63% over VnTokenizer, and alignment error rate (AER) is reduced by 0.98%. [ABSTRACT FROM AUTHOR]