As a result of the emergence of new business paradigms and the development of the digital economy, the interaction between operations, services, things, and software through numerous fields and communities may now be processed through value chains networks. Despite the integration of all data networks, computing models, and distributed software that offers a broader cloud computing, the security solution is have a serious important impact and missing or weak, and more work is needed to strengthen security requirements such as mutual entity trustworthiness, Access controls and identity management, as well as data protection, are all aspects of detecting and preventing attacks or threats. Various international organizations, academic universities and institutions, and organizations have been working diligently to establish cybersecurity frameworks (CSF) in order to combat cybersecurity threats by (CSFs). This paper describes CSFs from the perspectives of standard organizations such as ISO CSF and NIST CSF, as well as several proposed frameworks from researchers, and discusses briefly their characteristics and features. The common ideas described in this study could be helpful for creating a CSF model in general.

Antennas are either massive or miniaturized structures useful for the transmission and reception of signals associated with Electromagnetic (EM) radiation. Although Microstrip Patch Antennas (MSA) are advantageous they exhibit several drawbacks which may impair a faster communication throughput. They mostly display narrow impedance bandwidth amidst other grave issues. This study presents some approaches such as transmission line analysis and modeling for investigating the complexities associated with the MSA configurations given the shortcomings of narrow impedance bandwidth. in other to achieve the associated input impedance for the dual-band E-patch microstrip antenna. It also investigated the fabrication of the E-patch MSA which targeted the operating frequencies of 2.4 GHz and 5.8 GHz for possible range and speed. The fabricated prototype was tested using a high-frequency communication instrument known as the Vector Network Analyzer (VNA) to obtain the return loss and Voltage Standing Wave Ratio (VSWR). This method was done to quantify the reduction of reflections for enhanced Radio Frequency (RF) network output. This work helps to mitigate the challenges encountered when designing and developing microstrip patch antennas having a relatively small size in different configurations. 

The main purpose of this paper is to expand the usage of OCR (Optical character recognition) as this is only implemented over images and to extend this Video OCR is introduced in a way to help to retrieve the information from the video without playing the video. Video OCR is executed with the assistance of OpenCv2 module and PyTesseract [7] at the side of SWT approach which all pretty collectively make an ideal aggregate to offer an appropriate content from the video (i.e., Lecture video or any kind of video which has slides or text on the background of the video) [2,4].This technique is performed in a well-designed along with easy steps to provide us an correct end result of the facts from the video into textual files. In addition to this we also added Speech Recognition module within the project to support the video along with the text file. This speech delivered by the faculty (i.e., instructor/educator/teacher), or an educator will be also resulted in a text file.

Since energy consumption is one of the main challenges in wireless sensors networks performance and efficiency, this paper discusses and proposes a mathematical model that compromises these two crucial parameters. In addition, number of clusters, cluster size, and number of cluster heads all contribute in network robustness; they have been studied and manipulated in details. This paper suggests a mathematical model that calculates and finds the optimal cluster size and number of sensors for Low Energy Adaptive Cluster Hierarchy (LEACH) protocol. Wireless Sensor Network (WSN) is a network includes devices (sensors) for collecting data by sensing the field. Clustering is one of the simplest strategies used to minimize the power lost in WSNs. Its performance is affected by network area and number of sensors. The cluster head is elected based on traditional Low Energy Adaptive Cluster Hierarchy protocol. The optimal cluster number is detected based on the condition of the LEACH delivery ratio. NS2.35 and MannaSim framework are applied for validating the proposed model. The results show that the proposed model is approved at different areas and nodes density. The optimal cluster size obtained by the proposed model is equivalent to optimal clusters number for 100 % delivery ratio of LEACH.

There are several IoT platforms providing a variety of services for different applications. Finding the optimal fit between application and platform is challenging since it is hard to evaluate the effects of minor platform changes. Several websites offer reviews based on user ratings to guide potential users in their selection. Unfortunately, review data are subjective and sometimes conflicting – indicating that they are not objective enough for a fair judgment. Scientific papers are known to be the reliable sources of authentic information based on evidence-based research. However, literature revealed that though a lot of work has been done on theoretical comparative analysis of IoT platforms based on their features, functions, architectures, security, communication protocols, analytics, scalability, etc., empirical studies based on measurable metrics such as response time, throughput, and technical efficiency, that objectively characterize user experience seem to be lacking. In an attempt to fill this gap, this study used web analytic tools to gather data on the performance of some selected IoT cloud platforms. Descriptive and inferential statistical models were used to analyze the gathered data to provide a technical ground for the performance evaluation of the selected IoT platforms. Results showed that the platforms performed differently in the key performance metrics (KPM) used. No platform emerged best in all the KPMs. Users' choice will therefore be based on metrics that are most relevant to their applications. It is believed that this work will provide companies and other users with quantitative evidence to corroborate social media data and thereby give a better insight into the performance of IoT platforms. It will also help vendors to improve on their quality of service (QoS).