Multi-Stage Protection Using Pixel Selection Technique for Enhancing Steganography

Steganography and data security are extremely important for all organizations. This research introduces a novel stenographic method called multi-stage protection using the pixel selection technique (MPPST). MPPST is developed based on the features of the pixel and analysis technique to extract the pixel's characteristics and distribution of cover-image. A pixel selection technique is proposed for hiding secret messages using the feature selection method. The secret file is distributed and embedded randomly into the stego-image to make the process of the steganalysis complicated.  The attackers not only need to deter which pixel values have been selected to carry the secret file, they also must rearrange the correct sequence of pixels. MPPST generates a complex key that indicates where the encrypted elements of the binary sequence of a secret file are. The analysis stage undergoes four stages, which are the calculation of the peak signal-to-noise ratio, mean squared error, histogram analysis, and relative entropy. These four stages are used to demonstrate the characteristics of the cover image. To evaluate the proposed method, MPPST is compared to the standard technique of Least Significant Bit (LSB) and other algorithms from the literature. The experimental results show that MPPST outperforms other algorithms for all instances and achieves a significant security enhancement

Rethinking the Mseilha Dam

My project challenges the existing dam, that was recently built, it responses to the ecological as well as the cultural needs of the area. Revitalizing the river, integrating the fort, reintroducing elements and introducing new ones

The Impact of Digital Modernity on Administrative Performance in Saudi Universities

The study aimed to assess the impact of digital modernity on administrative performance at Northern Border University, Saudi Arabia. The research involved 788 employees and a sample of 395 individuals. The study used a descriptive approach and SPSS program to analyze data. Results showed that the university's contribution to employee awareness of digital systems in administrative work was significant, with a mean of 4.41. However, there was a discrepancy around the axis of digital modernity. The study also found that digital transformation contributed to the development of administrative performance, with a mean of 4.07, indicating agreement. The advantages and constraints of digital modernity on administrative performance were also agreed upon. The study recommends meeting the needs of digital transformation and supporting the process to keep pace with global development

Techniques of Quran reciters recognition: a review

The Quran is the holy book of the Islam. Reading and listening to the Quran is an important part of the daily life of Muslims. Muslims are keen to listen to recitations of Quran by skilled reciters to learn the correct recitation for the purpose of understanding and contemplating. Therefore, there are large variety of audio recitations for many skilled reciters. With the availability of this huge amount of recitations and also with the great progress in voice recognition technologies, many research efforts have been devoted to contribute making recitation better using artificial intelligence. One useful application in this area is identifying the reciters of the Quran. There are various solutions introduced by researchers; however, these solutions vary significantly in terms of accuracy, and efficiency. This research seeks to provide a review of these solutions. It also reviews available datasets using different criteria. Finally, some open issues and challenges were addressed

Assessment of morphological changes due to oxidative stress: leukodepleted packed red blood cells stored in SAGM

Background: In blood bank, the storage procedures of packed red blood cell (pRBC) require some conditions to ensure the maximum storage time for a safe blood supply. pRBC can be stored up to 42 days in 2-6⁰C, as long as more than 75% red blood cells survive in the first 24 hours post transfusion. However, pathological consequences can affect the stored blood, they are termed as storage lesions. Some reversible changes result from stored blood such as decreased ATP and 2, 3 BPG. Some other damages are irreversible and includes increased osmotic fragility, small echinocytic rigid red cells and microvesiculation. Methods: In this study, the effect of prolonged storage was assessed through investigating morphological alteration and evaluating oxidative stress.Samples from leukodepleted pRBC in SAGM stored at 4◦C for 42 days were withdrawn aseptically on day 0, day 14, day 28 and day 42. Morphological changes were observed using scanning electron microscopy and correlated with osmotic fragility and hematocrit. Oxidative injury was studied through assessing MDA level as a marker for lipid peroxidation. Results: Osmotic fragility test showed that extended storage time caused increase in the osmotic fragility. Day 42 displayed the highest osmotic fragility by the curve shifting to right. However, day 0 demonstrated the lowest osmotic fragility by the curve shifting to the left. The hematocrit increased by 6.6% from day 0 to day 42. The last 2 weeks of storage period revealed alteration in the morphology with the appearance of echinocytes and spherocytes. Small increase in MDA level was observed indicating that lipid peroxidation occurred. Conclusion: Storage lesions and morphological alterations appeared to affect RBCs during the storage period. These lesions are caused by oxidative injury, biochemical and metabolic changes that result in damaged RBCs membrane. Further studies should be performed to develop strategies that will aid in the improvement of stored RBC quality and efficiency. For example, the effect of ROS can be reduced by storing the blood bag in anaerobic condition. In addition, oxidative stress can be reduced by adding antioxidant in the blood bag.Qatar Universit

Induction of Pathogenesis Related Proteins and Phenol in Chickpea Plants Treated with Bio-Agents in Response to Infection by Fusarium oxysporum f.sp. ciceri

Soil and seed treatments with bio-agents, bio root care (BRC), non pathogenic Fusarium oxysporum (NFo) and Rhizobium leguminisarum (R.l) indicated induced acquired resistance against Fusarium oxysporum f.sp. ciceri (Foc) in chickpea plants. This induced resistance was manifested by the accumulation of phenols and pathogenesis related protein in treated plants compared with control treatments (BRC, NFo and R.l and plants inoculated with the pathogen alone and untreated plants). Significantly (p=0.05), the highest rate of accumulation of phenols, 286.5µg gfw-1 and peroxidase activity, 68.3min-1 gfw-1 when soil was treated with NFo before inoculation with Foc compared with  other test treatments. Maximum accumulation of phenols, 228.0 µg gfw-1 was at day 5 after Foc inoculation, and maximum peroxidase activity 62.3 min-1 gfw-1 was at day 4 after Foc inoculation. The highest rate of phenylalanine ammonia lyase activity was scored when seeds were treated with BRC and NFo with no significant differences. PAL activity was 139.6 for BRC and 141.3 nM cinnamic acid min-1 gfw-1 for NFo and scored maximum activity of 99.7 nM cinnamic acid min-1 gfw-1 at day 5 after Foc inoculation. The highest rate of glucanase activity was 33.5 µM min-1 gfw-1 when seeds were treated with BRC compared with other test treatments and scored maximum activity of 29.0 and 29.5 µM min.-1 gfw-1 at day 4 and 5, respectively, after Foc inoculation

A multi-criteria assessment of decision support systems in educational environments

Decision support systems (DSS) are useful business intelligence (BI) tools as they help managers in large organizations make the best out of many decisions. Decisions are based on various types of raw data, models, documents, knowledge, and past experiences. This paper examines numerous criteria of decision support systems in the educational environment. Two effective methods were discovered and applied in this research, the analytic hierarchy process (AHP) and simple multi-attribute rating technique (SMART). These methods were selected due to their abilities to deal with complex decisional environments in general and widely used in practice for the educational environment in specific. The performance of methods is compared using two datasets called xApi-Education and IPEDS datasets. The obtained results based on the measurement of space complexity showed the level of convergence and similarity between these two methods. However, the experiments show that the Simple Multi-Attribute Rating Technique outperformed the analytic hierarchy process in terms of accuracy, deviation, and time complexity measurement

A harmony search algorithm for nurse rostering problems

Harmony search algorithm (HSA) is a relatively new nature-inspired algorithm. It evolves solutions in the problem search space by mimicking the musical improvisation process in seeking agreeable harmony measured by aesthetic standards. The nurse rostering problem (NRP) is a well-known NP-hard scheduling problem that aims at allocating the required workload to the available staff nurses at healthcare organizations to meet the operational requirements and a range of preferences. This work investigates research issues of the parameter settings in HSA and application of HSA to effectively solve complex NRPs. Due to the well-known fact that most NRPs algorithms are highly problem (or even instance) dependent, the performance of our proposed HSA is evaluated on two sets of very different nurse rostering problems. The first set represents a real world dataset obtained from a large hospital in Malaysia. Experimental results show that our proposed HSA produces better quality rosters for all considered instances than a genetic algorithm (implemented herein). The second is a set of well-known benchmark NRPs which are widely used by researchers in the literature. The proposed HSA obtains good results (and new lower bound for a few instances) when compared to the current state of the art of meta-heuristic algorithms in recent literature

Modeling Analysis and Simulation of Wheel Suspension System's Response for Quarter Car Model by Using 20-sim Software for Honda Civic Lx 2019 Sedan

This paper exhibits a study of car passive and active- suspension system to improving drive exhilarate to passengers while also enhancing vehicle stability by decreasing the effect of oscillation on the suspension. Modeling and simulation by using the bond diagram. They much concede a prime arrangement of the machine to the exterior surrounding: street quality, atmospherically circumstances, while guarantying driver as well as passengers, major safeness and more potentially exhilarate. Automotive aid it course manners. The result cleared this action plan at different set during the vehicle mean, but particularly in evolution level. It is also clear the proportion of suspension system's mass to the vehicle's mass. Also graphical representation of suspension system' parameters like vertical passenger displacement, potential energy of mass of suspension system and acceleration. To foretell the comportment of a car, it is necessary to make design, modeling, and simulation. Honda Civic Lx 2019 sedan car has used for modeling, and simulation