Fusion of Watermarking and Steganography for Protecting Image Ownership

The use of digital images has become very common because of the rapid increase of the internet over time. Moving digital images over the internet is easy, but keeping ownership is complex, and serious issues have emerged. Forgery, fraud, and pirating of this content are rising. Different techniques used to protect images, like watermarking and steganography, but these methods are not enough toprotect. So, providing new techniques is essential for protecting image ownership. We have proposed a fusion method of steganography and watermarking in this work. First, the secret message is encoded within the original image using the LSB technique to obtain the stego image. Secondly, the watermarking process is applied on the stego image using text watermarking or image watermarking to provide stego-watermarked-image. The proposed fusion watermarking and steganography method is very useful for protecting image ownership over insecure communication channels. An attacker cannot get the desired watermarked image from the stego-watermarked-image without knowing the secret message hiding inside it using the LSB technique. The proposed method is efficient, simple and secure; it provides significant protection for image ownership.

Cloud computing architecture for Tagging Arabic Text Using Hybrid Model

With the increasing role of technology in transferring information in our daily lives, the Arabic language has become the fourth language used on the Internet. Therefore, to develop different information systems in the Arabic language, we should determine the syntax and semantics of creating a text efficiently and accurately. Part of speech (POS) is one of the primary methods employed to develop any language corpus. Each language consists of several tags applied in different applications, such as natural language processing (NLP), speech synthesis, and information extraction. One of the main benefits of adopting cloud computing services is the offer a low cost and time to store your company data compared to traditional methods. This paper presents and deploys a cloud computing architecture for Tagging Arabic text using a hybrid model, which will help reduce the efforts and cost. The results show an excellent accuracy rate in tagging an Arabic text and quickly respond. Previous studies are compared based on relevant rating factors, which achieved high accuracy, procession, and recall rate of more than 95%. The cloud computing tagger attained an accuracy of 99.2%.

Implementation of Big Data Analytics for Simulating, Predicting & Optimizing the Solar Energy Production

The notable developments in renewable energy facilities and resources help reduce the cost of production and increase production capacity. Therefore, developers in renewable energy evaluate the overall performance of the various equipment, methods, and structure and then determine the optimal variables for the design of energy production systems. Variables include equipment characteristics and quality, geographical location, and climatic variables such as solar irradiance, temperature, humidity, dust, etc. This paper investigated and reviewed the current big data methods and tools in solar energy production. It discusses the comprehensive two-stage design and evaluation for examining the optimal structure for renewable energy systems. In the design stage, technical and economic aspects are discussed based on a robust analysis of all input/output variables for determining the highest performance. Next, assess and evaluate the effectiveness of each method under different circumstances conditions. Then convert each qualitative indicator into a quantitative measure using extensive data analysis methods to determine the overall performance of the various qualitative variables. The paper also provides an in-depth analysis of the mathematical techniques used in measuring the efficiency of the renewable energy production system and discussing future axes of work in the field of specific energy.

The effect of some of spaces and sets of topology on the types of digital images

There is a growing interest in studying and improving the characteristics of images and objects in the e-commerce environment. Digital topology is concerned with dealing with the properties and features of two-dimensional (2D) or three-dimensional (3D) digital images such as borders, shapes, the intensity of illumination, and other characteristics. This paper aims to introduce and study new classes of fg-disconnected space and compactly fg-closed set, which could impact the brightness and brightness of the internal components of the types of color images, gray and binary. The paper also aims to find the effect of implementing fg-disconnected space and compactly fg-closed set to determine the brightness and brightness of the internal components of the types of color images, gray and binary. Each research plate contains 30 images of each type of image. Ten different images were chosen at the same time to be analyzed and executed using the proposed system based on MATLAB software. The study proved that higher brightness and light will disappear and delete the components of the image of any kind. This aimed to make the image white and opposite color, the greater darkness, and luminescence will make the picture color mysterious and turn to black.

Internet of Things: Layers, possible attacks, secure communications, challenges.

The concept of constricting IOT (Internet of Things) system was born for purpose of enhancingquality of life for individuals, improving implementation of works, increasing productivity, anddeliver all services in efficient, and ubiquitous way .The core idea of this technology is to embeddifferent type of sensors along with devices to gather information ,and perform action based onanalysis of that information .This research paper intended to highlight following points: conceptof IOT, how does it work, layers of intelligence system, possible attacks in each layers, and majorchallenges associated with development of IOT along with its potential solution. Finally, it willdiscusses why IOT became common trend for a majority of institutions around world.

Mathematical Regression Models for Analyzing and Forecasting Diabetes prevalence in Oman

Diabetes mellitus has a significant impact on people's lives and drugs financial burden. On the other hand, diabetes also has substantial economic effects on countries and national health systems. Most countries spend between 5% and 20% of their total health expenditures on diabetes. This is due to the increased use of health services, lack of productivity, and the long-term demand for complications associated with diabetes, such as kidney failure, blindness, and heart problems. This is why diabetes poses a significant challenge to healthcare systems and hinders sustainable economic development. This work is concerned with proposing mathematical models characterized by accuracy and ease in predicting the number of diabetics type 2 in the Sultanate of Oman. By analyzing the proposed mathematical models of the current work (1, 2, and 3), it was found that the proposed mathematical model in Equation 6 can accurately predict the number of diabetics in Oman up to 2050. In order to test the model's accuracy and validity, we revised it with actual data. The results prove the accuracy of the proposed model in predicting future data of 99%. Lastly, several recommendations were recorded that could help to reduce the prevalence of diabetes type 2 in Oman.

DOA- A New Approach to Identify IoT Devices

The analysis of the possibility of building a system for identifying devices of the Internet of Things based on the Digital Object Architecture has been carried out. A model of the system of resolution handle system of Digital Object Identification as a queuing system is proposed. The analysis of the existing handle system. Is proposed an identification system model based on digital object architecture. Based on the developed model of the queuing system, an optimization experiment was performed, and the configuration of the resolution system was obtained, allowing to reduce the time for resolving the device identifier. The software of the existing handle system resolution was analyzed and ways of improving the algorithms with the aim of reducing the time for identifier resolution were proposed.

Examining the Aspects Decrease the Development of the Small and Medium Enterprises in Al Batinah Province - Oman

Small and medium-sized enterprises (SMEs) play an important role in any developing economy. In Oman, about 60% of SMEs are the source of employment. There is an increase in SMEs, but there are also challenges linked with growth; this research project explores the specific challenges faced by small and medium business owners. This study used a simple random sample with data from 200 SME owners, and data was collected using a well-design questionnaire. The data was analyzed in more detail by descriptive statistics and ANOVA statistics. A reliability test was performed to determine how reliable the data collecting instrument was. The limitations of this work and several suggestions are recorded. Several hypotheses are tested, and the results show a significant relationship between Financial management constraints and SME growth. And, also, there is a significant relationship between Marketing management constraints and the growth of SMEs. And, also, there is no significant relationship between the relationship of statistical importance between the Human resource constraints and the growth of SMEs in Oman.

Design and Implementation of an Energy Meter System for Optimized Cost using Internet of Things (IOT) Technology

The noticeable rise in electricity bills is one of the most major factors leading to an economic crisis for all parts of the world today. It causes many negative impacts on the economic lifestyle of society. This is due to the depletion of unnecessary energy which leads to financial losses for customers. Moreover, it leads to problems between customers and electric companies. Day by day, electricity bills increase further due to the increase in the number of electrical appliances, which in turn leads to an increase in the daily use of electricity. The absence of an energy consumption monitoring system exacerbates this problem. Therefore, it became necessary to develop a system to monitor energy consumption that can calculate daily consumption and display it to customers so that they can know their energy consumption without facing any difficulties. This paper aims to design and implement an energy meter system for optimized cost using internet of things (IOT) technology. This is to alert customers to take preventive measures that help limit the rise in electricity bills. The main components of system design are Node MCU, Arduino Uno (Atmega 328) Microcontroller, AC Fan, AC Light Bulb, LCD I2C (20x4) and ACS712 Current Sensor, which is responsible for sensing the current of electrical appliances. This system was simulated through the TINKERCAD program, as for the system programming, it was done through the Arduino Integrated Development Environment (IDE). Moreover, the system implementation and testing has been successfully completed, and the required results have been analyzed and successfully reached. The system has performed well and is acceptable, also it can be classified as efficient, simple and easy to use.

COVID-19 Outbreak: Model-Driven Impact Analysis Comparing Oman and Pakistan

Motivated by the rapid spread of COVID-19 all across the globe, we haveperformed simulations of a system dynamic epidemic spread model in differentpossible situations. The simulation, not only captures the model dynamic of thespread of the virus, but also, takes care of population and mobility data. Themodel is calibrated based on epidemic data and events as they happened. Thesimulation results are quite disturbing, indicating that, during a process of stringent social distancing and testing strategies, a small perturbation can lead toquite undesirable outcomes. The simulation results, although consistent in expected outcomes across changing parameters’ values, also indicate a substantialmismatch with real numbers. An analysis of what can be the reason of this mismatch is also performed. Within these contradictions, a comparative analysisof COVID-19 outbreak between two geographically close but demographicallyvery different countries – that is Oman and Pakistan – is performed.