No abstract

Skin diseases are reported to be the most common disease in humans among all age groups and a significant root of infection in sub-Saharan Africa. The diagnosis of skin diseases using conventional approaches involves several tests. Due to this, the diagnosis process is seen to be intensely laborious, time-consuming and requires an extensive understanding of the domain. The enhancement of computer vision through artificial intelligence has led to a more straightforward and quicker way of detecting patterns in images, which can be harnessed to equip diagnosis process. Despite the breakthrough in technology, the dermatological process in Ghana is yet to be automated, making the diagnosis process complicated and time-consuming. Hence, this study sought to propose a web-based skin disease detection system named medilab-plus using a convolutional neural network classifier built upon the Tensorflow framework for detecting (atopic dermatitis, acne vulgaris, and scabies) skin diseases. Experimental results of the proposed system exhibited classification accuracy of 88% for atopic dermatitis, 85% for acne vulgaris, and 84.7% for scabies. Again, the computational time (0.0001 seconds) of the proposed system implies that any dermatologist, who decides to implement this study, can attend to not less than 1,440 patients a day compared to the manual diagnosis process. It is estimated that the proposed system will enhance accuracy and offer fasting diagnosis results than the traditional method, which makes this system a trustworthy and resourceful for dermatological disease detection. Additionally, the system can serve as a realtime learning platform for students studying dermatology in medical schools in Ghana.

Cloud computing is evolving as a firsthand archetype of large-scale distributed computing which adds more power to internet technologies. It is a framework aiming at convenient and on-request network access to an organized and shared pool of resources. Security of data transmitted and stored by a third party happens to be the greatest challenge for organizations embracing the technology. In this work, a proposed hybrid algorithm dubbed the Soldier Ant Algorithm (SAA) a blend of the Diffie-Hellman algorithm and Delta Encoding technique (Newton Forward and Backward Interpolation). The motivation obtained is the integration of algorithms for cryptography purposes. The integration makes the proposed SAA algorithm symmetric and also makes the Diffie-Hellman algorithm withstand security threats such as man-in-the-middle attacks. The proposed algorithm establishes a secured connection between the cloud client and the cloud service provider and at the same time secures the data sent to the cloud. A comparative analysis was performed against RSA and ElGamal and indicated that the proposed algorithms’ encryption and decryption time were lower even though it is linear (O(n)).

Abstract:Computing in the cloud changes the way Information Technology (IT) is managed and disbursed, given an improved costefficacies, faster novelty, quicker time-to-market, and the capacity of scaling applications on request (Arora & Gupta, 2012). Most organizations are now opting for web based services, since the use of virtual networking infrastructure in cloud storage does not only reduce costs, eliminates hardware failures and security risks such as theft of physical components in the real world, but also provides a graphical user interface for the topology design allowing for realistic simulation of networks and high performance displaying modules as an added advantage for modern enterprises. This research focuses on examining the performance and relations of distributed systems in servers used for cloud storage on virtual platforms, by analyzing the behavior and efficiency of server performances in three different scenarios in a cloud network using Riverbed Edu 17.5 edition as a virtual network platform simulation tool. Networks with three different server scenarios simulated against time in a network were modelled. The focus was on the server performance, at different loads and processing speeds. The simulation was configured for about 100 workstations in a manner that all the applications and users can access the parameters; database, file transfer protocol, hypertext transfer protocol, and email response times on cloud utilization throughputs in two directions. The results for server performance in efficiency and viability is analyzed and evaluated with conclusions drawn as a guiding principle for organizations and companies considering the use or using servers for cloud storage.

Abstract:The impact of the hospitality industry to the total growth of the Ghanaian economy cannot be exaggerated [1,2]. Information and Communication Technologies (ICTs) play an important part in improving competitiveness, empowering development, and bringing advancement to all stages of society [3]. The Swift and significant development of ICTs and the spreading out of the internet have moved-in in all phases of human life [4]. Hospitality Industry as one of the presently fast growing industries in Ghana and the world Writings disputes that tourism cannot advance without a support of the ICTs application [1,5,6,7]. In today's world, the Hospitality Industry in Brong Ahafo Region and Ghana at large must have suitable and appropriate adoption of ICTs novelties in order to achieve a first-hand form which is satisfactory in today's contemporary business world. This study probes the usage of ICTs and its application in the Hospitality Industry (Guest house & hotels) in the Brong Ahafo Ghana. By means of a descriptive and crosssection strategy, this study probed the nature of ICTs resources and the predominant impediments to the use of ICTs in Brong Ahafo Ghana. The outcome of the survey point out an average level of alertness of ICTs applications in the region's hospitality industry. On the other hand, low usage of ICT and employment in e-reservation and e-booking is still of a very low rate. The assumptive and strategy implications are discussed.