The integration of IoT (Internet of Things) technology in industrial maintenance is transforming machine condition monitoring by enabling real time data acquisition and predictive maintenance. This work presents an IoT-based remote monitoring system for blowers in wastewater treatment plants, utilizing a Total Degradation Number (TDN) sensor for oil condition assessment, existing vibration sensors, and oil temperature monitoring.The system continuously tracks critical blower parameters, including the TDN to evaluate oil degradation, oil temperature, vibration levels, and operational runtime. By applying high-frequency AC waveforms, the TDN sensor accurately measures oil capacitance and conductance, deriving the TDN as a simplified index of oil health. Sensor data is seamlessly collected, transmitted to a cloud platform, and displayed on an intuitive dashboard that provides real-time visualization and automated alerts for abnormal conditions.Field testing in an operational wastewater treatment facility demonstrates the system’s effectiveness in early fault detection, reducing unexpected failures, and optimizing maintenance schedules. The proposed solution enhances equipment reliability, minimizes breakdowns, and extends machine lifespan. Future developments will explore the integration of machine learning algorithms to further refine predictive capabilities and improve overall system performance.

IoT technology is being increasingly adopted in various industries, including manufacturing and agriculture to improve efficiency, productivity, and safety. This paper presents the design and implementation of embedded IoT system applied to fish farms in environmental agency. Dissolved oxygen concentration and temperature in water plays a crucial role in the growth and development of fish. Therefore, it is important to monitor dissolved oxygen concentration and temperature. The system is designed to overcome the limitations of manual monitoring currently used and provide an effective solution for monitoring and control. The proposed IoT system designed and developed from the ground up using commercially off-the-shelf components and open-source software platform for fast, reliable data acquisitions, and data gather by the IoT system get reported to the cloud server in real time. The controller part of the system adjusts the operation of the aeriation pump in real-time, turning it on or off, as needed to maintain the desired dissolved oxygen level without the need for manual intervention, to ensure that the dissolved oxygen level remains within a safe and healthy range for aquatic life. The system also includes a graphical user interface, allowing farmers and investigators to observe, analyse and investigate the related data. As has been proved by practice, the remote data transmission to the cloud combined Radio Frequency techniques for control, is a practical and efficient technology for monitoring the dissolved oxygen in aquaculture, and has greatly increased the safety for the fish in the pond.

Libya suffers from a lack of organized climate information and data, which is the cornerstone for building and simulating renewable energy systems. In this work the Typical Meteorological Year (TMY) data for Tripoli city was generated and analyzed using practical measured weather data of 16 years, such data includes wind speed, ambient temperature and global solar radiation measured every 10 minutes interval. Finkelstein Schafer method have been used to analyze these data and to perform the TMY for Tripoli. Typical meteorological months (TMMs) were carefully chosen by selecting months with the lowest deviation from the long-term cumulative distribution function. it was been found that the generated TMY and long-term averages was in close agreement. The generated TMY will be an active tool for the optimal design and performance assessment of many types of renewable energy systems like solar power system, heating, wind energy systems, and any other application to be located in Tripoli district.

Abstract The synchronisation in wireless cooperative relay networks is impossible to achieve in real environment utilising orthogonal space time block coding. There have been several approaches proposed to mitigate the effect of synchronisation among the relay nodes at the receiver. All have managed to reduce the inter‐symbol interference at the expense of low data rate with high detection complexity. Others achieved full data rate and high cooperative diversity using high decoding complexity that requires a feedback link. In this paper, a new approach is presented that reduces inter‐symbol interference, achieves full data rate and full cooperative diversity with low complexity. This uses a new efficient distributed orthogonal space time block coding design with a sub‐optimum detection scheme utilising dual relay nodes. This reduces the number of timing misalignments among the relay nodes and minimises the detection complexity. Furthermore, the new proposed method uses linear decoding process to achieve full data rate and full cooperative diversity without the need for any a feedback link. The analytical analysis and simulation results confirmed that sub‐optimum approach with the new efficient design are very effective at reducing the lack of synchronisation among the relay nodes at the destination node with low encoding and decoding complexities.

Distributed space time block coding in wireless cooperative relay networks have attracted significant interest due to its bandwidth efficiency and high reliability. To achieve full diversity and full data transmission rate, most researchers assumed perfect timing synchronization within the network. However, synchronisation in wireless cooperative relay networks is difficult in real environment due to the distributed nature of cooperative relay nodes. This paper first, deals with designing an efficient distributed space time block coding system to obtain double the full diversity and full data transmission rate for asynchronous cooperative relay networks. The second part deal with developing a low-level computational complexity sub-optimum detection scheme to overcome the imperfect synchronisation issues arising among the relay nodes. The computational complexity level depends only upon the constellation size. Analytical analysis and simulation results show that the double the full diversity with full data transmission rate are achieved. The proposed sub-optimum detection scheme can also effectively eliminate the intersymbol interference induced by the lack of synchronisation between the relay nodes at the destination node.

Server virtualisation has dramatically reshaped the information technology industry in recent years. There are too many variants to consider. This paper proposes a practical method of achieving efficacious disk performance in a virtualized environment. Remote disk access in a virtualized environment is emerging as one of the mainstream network intensive applications, with large demands for disk and network bandwidth. As a performance metric we investigate the efficiency and effectiveness of using multi controllers combined with disk alignments. We investigate on how to deliver optimized storage input/output performance and availability at the lowest possible cost and present best practices that we demonstrated on our implementation of VSphere based Oracle installations. We also propose mechanisms to prevent common performance issues like interface queue saturation. Our findings suggest that an underutilized storage system can mask environment misconfigurations. Once the storage system becomes busier, these misconfigurations can cause performance issues. Similarly, storage performance issues are rarely due to a single cause, for example, we had virtual machine misalignment and background process contention. We also concluded that when we use mixed disk technologies in the same storage area network and stress one type with writes, this can also have a negative impact on the others due to the load on the storage controller. In addition to this, we also found that misalignment affects write latency more than the read operations.