Steganography is the most used technique for data hiding. We can implement it using any cover media like text, images, and videos. In this paper we devised a new algorithm to hide our text in any colored image of any size using wavelet transform. It improves the image quality and imperceptibility. Our method sustains the security attacks. Extensive testing is performed using different sizes of images and presented our results in payload and PSNR values.
<span>In health care systems, blood management services are essential to saving lives. In such systems, when a unit of blood is required, if the system is not able to provide it on time, sometimes this may lead to patient death, especially in critical cases. Unfortunately, even if the required blood unit is available within the system, contradictions may occur and the required blood unit may not be allocated to critical cases on time, due to the allocation of these units to lower priority cases or due to the isolated operate of blood banks within these systems. So, to overcome these obstacles, we proposed a real-time system on a cloud, to managing blood units within the whole health care system. This system will allocate blood units depends on the deadline and the severity of the case that needs blood, in addition to the types, quantities, and position of available blood units. Where, this system eliminated the need for human intervention in managing blood units, in addition to offering the ability to easily develop the system to deal with new urgent requirements, which need new methods of managing blood units; as is happening today with the COVID-19 epidemic. This system increases the performance, transparency, reliability, and accuracy of blood unit management operations while reducing the required cost and effort.</span>
Blood units are a sensitive, scarce, and important resource in the health care system, which must be allocated to beneficiaries accurately, quickly, and efficiently. In this paper, we will propose a new method to allocate the blood units, which will be the major part of an integrated real-time system on a cloud environment, backed by smart device applications. The proposed method will use a hybrid of real-time algorithms some of supply chain principles, to develop the allocating operation of blood units to address the problems associated with the use of current traditional methods to allocate blood units. Where, the current methods in their works heavily rely on human intervention, paper documents, and traditional supply chain algorithms. Also, current methods suffer from many problems, including the potential for human error and dependence on the local scale to supply blood units most of the time, in addition to a high rate of miss allocation of blood units, especially for critical cases, And this is what we are working to overcome in the proposed method, to improve the performance of the allocation of blood units, and this, in turn, will improve the health care services provided to the beneficiaries. This proposed method will be applied to allocating blood units within the health care system of Nineveh Governorate.
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