<p class="0abstract">One of the unexpected intelligence tactics known in World War II was to conceal the data in images that were reduced to the size of a point that was used in every text and transported in front of the enemy's eyes. In the new age, and after the expansion of Internet science and the use of the Internet worldwide, we will establish a security feature of the IOT service that will work more reliably and more effectively to deal with the Internet of Things and ensure the work of the services that the customer interacts with. A secret-key stenographic scheme that embeds four gray-scale secret size (128*128) pixel images into a size (512*512) pixel cover image in this work. Wavelet transform is the method used in this project to analyze the cover into its frequency components. In this work, combinations of steganography and cryptography were made to increase the level of safety and make the device more difficult for attackers to beat. The resulting stego-image that will be transmitted did not raise any suspicion by both objective and subjective evaluation, so the primary objective of Steganography is achieved. The proposed system was designed by using (MATLAB R2018b) and running on a Pentium-4 computer. The Internet of Things works with the encryption system for data in a synchronized manner with the technological development, and in order to maintain the stability of any Internet of things service, whether it is information signal services, visual or audio data, a remote control system, or data storage in the Internet cloud, we must focus on data preservation from internet pirates and internet system hackers. The picture Figure<strong> </strong>4 below shows the method of encryption and dealing with the Internet of things system..</p>

<p>The Internet of Things (IoT) incorporates most extensive number of innovations and imagines a mixture of things or questions around us that, through one of a kind tending to plans and standard correspondence conventions, consume the ability to connect through one another's also collaborate by their neighbors in the direction of attain regular purposes. The misuse of such a standard has been broadly explored in Internet-related investigates. As a result, a few plans have been suggested that utilization informal organizations to hunt Internet assets, to course activity, or to choose powerful strategies for substance dissemination. The essential understood this knowledge remains persistent locality everywhere us as a diverse carrier of things or articles – i.e. Radio-Frequency identification (RFID) sensors, labels, cellular telephones, actuators, and more – that finished novel inclining to ideas, consume the ability to subordinate through one another besides chip in through their neighbors to realize normal objectives of shopping situation in business sector. Web of Things (IoT) overpowered standard imperfection for structure code, which backing to shopping in business sector or undertaking gathering of most prominent concern and examinant.</p><p> </p>

<p class="0abstract">One of the instrumental functional overheads in many commercial edifices and industrial plants is the electricity bill. The design and development of a Smart Power monitoring device used to make monitoring on the electrical parameters represented as voltage, current, and power of Wasit university buildings. The system has a unit with smart sensing to detect and control the electrical devices employed for daily activities by following different tariff rates. It has the capability to decrease consumer costs improving grid stability. A developed model was broadly examined and experimental results comparing these results with devices of conventional measuring. The Arduino based wireless powering meter is a non-invasive existing meter for domiciliary power with a WI-FI Connection. A split-core is used to measure the current transformers. 802.11b connection is a means for transmitting data through the home’s wireless router to the base station and monitoring web portal based on wireless sensor network. A clear projection for domestic data use is one of the aims of this project. By these data, it can supply estimation to consuming power. Optimizing and reducing power usage are the objectives of providing such data.</p>

A combination of nanoindentation mapping and machine-earning (ML) modeling has been used to characterize the micro-structural changes in SnPb solder balls exposed to thermal cycling. The model facilitated the microstructural evaluation of solder bumps through the prediction of microscale variations of Young's modulus in the joint zone. The outcomes revealed that the micromechanical data-driven ML model precisely classified the microstructural constituents, i.e., β-Sn and α-Pb, along with the grain boundary (GB) regions. However, some deviations were observed in GB recognition, when the elastic modulus gradient was not sharp enough. The predictive results also revealed that the increase in number of thermal cycles led to stiffening and grain coarsening of α-Pb, while the β-Sn matrix mainly remained stable. Moreover, it was found that the thermal cycling intensified structural heterogeneity in the solder and sharpened the elastic modulus variations at the GB regions. In summary, the outcomes of this study demonstrate the prediction possibility of microstructural features in SnPb solder balls with a predefined thermal cycle numbers, and unfolded the relationship between morphological characteristics and microscale mechanical properties.

In this study, four multi-story building parking garages located within the CBD area of Dohuk city had investigated for different characteristics of parking behavior for user. Parking accumulation, volume, walking distance to destination point, turnover, duration, and mode of travel were investigated within the duration from 9:30 a.m. up to 4:30 p.m. Trip purpose were introduced within a special interview form used to collect the necessary parking data from each facility users. Figures, and tables presented out of this study demonstrate that the amount of spaces provided on the three parking facilities were about 717 spaces with peak demand already taking place at midnoon. Average walking distance concluded was 155m and four hours as an average parker duration. Average turnover obtained out of the data analysis was 1.09 vehicles /one space.