International Journal of Computer (IJC - Global Society of Scientific Research and Researchers, GSSRR)
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Management Information Systems and its Impact on Productivity in Higher Education: A Case of Colleges of Education in Ghana
The use of information technology in educational management has swiftly increased due to its efficiency and effectiveness. In the initial stages of its development, management information systems’ (MIS) main purpose was to improve the efficiency of school, office activities. Overall review of literature highlighted positive impact of MIS on school administration and management including better accessibility to information, more efficient administration, higher utilization of school resources, reduction in workload, better time management, and improvement in the quality of reports. In spite of all the successes chalked in the development of educational management; most educational institutions are confronted with numerous challenges especially in the area of Information and Communications Technology. A study into the Management Information Systems and its impact on productivity in higher educational institutions was undertaken among others to examine the relevance of MIS in improving educational management, assess ways MIS could improve capacities in data processing, storage, analysis and the timely supply of educational information to management and administrators to enhance quick and efficient decision making. Stratified and purposive sampling techniques were the main sampling techniques employed. Questionnaire and observational schedule were used to gather relevant data. Statistical Package for Social Sciences (SPSS version 25) was used to analyze the data. The study revealed that cost, lack of competent Information Technology staff to operate the system, lack of computer systems and accessories and inferiority complex (technology phobia) were the major constraints militating against the implementation of MIS in the understudy institutions. Recommendations together with suggestions for further studies were therefore made to arrest the challenges unearthed
Mobile Network Access Points using Self Organising Drone Constellations
Nowadays with artificial intelligence and automation requires much remote sensing. Sensors can be fixed or mobile. Mobile sensor networks are easy to deploy in a new location however, one of the challenges is figuring out how to interconnect these mobile sensors and link them to a core network. This paper proposes a technique of setting a mobile network that miniature base stations or access points be carried by drones in an automatically structured constellation to enable network connectivity between sensors. The paper presents a swing and adjusting technique to determine the ideal deployment of mobile base stations carried by drones, one base station per drone to connect as many sensors as possible without having prior information on sensor distribution. Swing and adjusting, coverage control, collision avoidance, and self-organizing drone constellation are all part of the algorithm. The suggested approach shows promising results according to simulations
Integrated Flow Shop and Vehicle Routing Problem Based on Tabu Search Algorithm
We consider in this paper a m-machine permutation flow shop scheduling problem and vehicle routing problem (VRP) integrated [1]. The manufacturing workshop is a flow shop and there is only one vehicle available. We are interested in the minimization of the total tardiness. related to the delivery completion times. Therefore, we are faced to three interdependent problems: scheduling the jobs in the flow shop environment, batching the completed jobs, and routing the batches. Then, we present the resolution method based on Tabu search and the results that have been obtained. Computational experiments are performed on random data sets and show the efficiency of the methods. Finally, a conclusion and some future research directions are proposed
Digitalising the Library Management for Effective Performance in the Nigerian Oil and Gas Sector
Advancement in information and technology in the 21st century has affected the manner and type of information required by library users. To effectively meet the emerging needs of information seekers, libraries need to be digitalised. The aim of this paper is to examine how the digitalising of library management can lead to effective performance in the Nigerian oil and gas sector. This study adopts an analytical research methodology that showed that there is still a huge gap in the delivery of library services in the oil and gas sector due to the lack of full digitalisation of libraries in the sector. Five subtopics were analyzed in order to articulate the aim of the study. The subtopics include; Introduction, Digitalisation of library management and digital libraries, the need for digitalisation of library management in the oil and gas sector, and how the digitisation of library management can lead to effective performance in the oil and gas sector, and challenges to the digitalisation of libraries. The study concluded that the oil and gas sector is the backbone of the Nigerian economy hence oil and gas professionals need easy and fast access to information for effective performance and safety. As such, libraries need effective service delivery. It also recommended solutions to the challenges of digitalisation of library performance in the oil and gas sector
The Health of Privacy Protection in a 5G World
The 5G network is prized for its super speed, low latency, seamless connectivity, and high capacity; and it is believed that just like the 4G era birthed tech giants like Uber and Airbnb, 5G would produce business mammoths that would be unique to its dispensation. While the market drools in anticipation of those newborns, it is important to pan out how privacy protection would fair under 5G. This paper discusses how 5G would impact the ongoing privacy protection struggle. As 5G unwinds and its benefits are enjoyed, there will be too many things happening that may overwhelm average consumers in the United States and create some form of apathy towards privacy protection discussions
Non-Standard Discretization of the Advection-Diffusion-Reaction Equation with Logistic Growth Reaction
The goal of this work is to make a comparative analysis between the standard finite difference method and the non-standard finite difference method, then to make a non-standard discretization of the advection-diffusion-reaction equation with a reaction modelling a logistic growth which can be the evolution of the concentration of a microbial population in a medium, the equation will thus model transport and diffusion of this population in the aforementioned medium in one dimension of space and one makes numerical simulations to compare the non-standard scheme and the Euler’s scheme, explicit in time, implicit for the first order derivative in and centered for the second order derivative in . One arrives by constructing a scheme of the advection-reaction equation, then adds the term of diffusion to obtain the non-standard scheme
Is it Possible to Design a Battery as Bio-Fuel Cells for Charging the Smart Phone using Thermal Radiation of Human Body? A New Proposal
All objects including the human body emit electromagnetic radiation, whose wavelength is related to the temperature of the object, so this radiation is sometimes called thermal radiation. A smart phone is a computing platform portable device, which combines mobile telephone and computing functions e.g. video, cameras, and gaming. Usually the temperature of human body is stable, so that the amount of thermal radiation is also stable. A battery can be designed and is used in the smart phone, then, anytime it will be convenient to charge the battery as bio-fuel cells with stable amount of thermal radiation. It is a new proposal in this study
Business Intelligence and its Relationship with Sales’ Increase in a Farinaceous Company at Callao
Nowadays, globally, the use of technological tools in business has driven a significant improvement in processes, reducing costs and increasing profits; one of those tools is business intelligence. However, its use of Peru is not so common, because it is associated with high implementation costs, in addition, its benefits are not yet clearly identified in Peruvian companies due to its poor implementation and the lack of research related to the subject. In this research, the benefits obtained after the implementation of business intelligence tools in a farinaceous industrial company in Callao were evaluated and be able to determine the relationship between the use of these tools and the increase in sales. The analysis consisted of the elaboration of a questionnaire to evaluate the perception of workers regarding the use of these tools; the results obtained were statistically analyzed, using the methodology proposed by Hernández. In addition, a comparison of sales amounts and quantities was made before and after the implementation of these tools. The results show that the workers of the organization perceive an improvement in their daily activities due to the support of business intelligence tools, also the amounts and quantities sold were increased, which is confirmed by the comparison of actual amounts and quantities analyzed. It was concluded that the use of business intelligence is positively related to the increase in sales, which is a similar benefit in research by international companies, demonstrating that in Peruvian companies these tools also help business growth
Empirical Study of Vessel Extraction Algorithms
Medical imaging is a technique for creating an image of the human body in order to diagnose various diseases such as stenosis, aneurysm, arterial venous malformation, thrombus, plaque and internal bleeding. Blood vessel segmentation is critical in the diagnosis of a variety of diseases. Blood vessels that are segmented give much useful information about their anatomy and location. They are important in a variety of medical applications, including diagnostic, surgical therapy, and radiation treatments. A significant amount of research has gone into vessel segmentation, and a variety of techniques has emerged as a result. In addition, there are different segmentation techniques such as active contour segmentation technique, hybrid segmentation technique, thresholding segmentation techniques, watershed segmentation techniques, edge detection segmentation technique, etc. It is also observed that magnetic resonance images of blood vessels were exposed to noise due to selection and inappropriate techniques such poor performance invisibility. In other words, there is no single approach to follow for a perfect outcome of images. There are some of the methods that use gray-level histograms, while there are others that integrate spatial image information, and this causes noisy outcomes. Therefore, we build the medical imaging vessel visualization system using MATLAB as tool. In this study, we empirically investigate the visibility performance vessel extraction algorithm. We implement following vessel extraction algorithms: active contour algorithm and edge detection algorithm. We observed that edge detection algorithm (SOBEL) is the better in term of image clarity as compared to active contour and edge detection algorithm. This project enable IS department to do more advanced level research in medical imaging
Relative Influence of Social Media Socio-Technical Information Security Factors on Medical Information Breaches in selected Medical Institutions in Uganda
This manuscript presents a study based on research conducted to assess the relative impact of social media (SM) socio-technical information security factors on medical information breaches in selected medical institutions in Uganda. The study was motivated by reported cases of medical data breaches through the use of SM. Procedurally, the study used an online survey method using Google Forms and a literature search technique. Data were solicited from 566 medical students from Mbarara University of Science and Technology (MUST), and Kampala International University (KIU), accordingly. The key datasets collected included respondent’s demographic profile, SM usage characteristics, and medical information breaches. Through literature search, key SM socio-technical information security factors were identified. Afterwards, Spearman’s rank correlational analysis was performed to determine the type of relationships existing between SM socio-technical information security factors and medical information breaches. According to the percentage distribution summary of medical information breaches, the respondent’s level of agreement ranges from 39% to 43%. Spearman’s rank correlational coefficients (r-value) indicate significant levels (p ? 0.05) of correlational relationships for the key factors identified. However, 6 of the factors presented negative and stronger relationships, while 3 factors yielded weaker correlational relationships. Relatively, the results showed stronger relationships between the social dimensional factors, compared to the technical dimension. The negative relationships could imply that an increase in end-user compliance levels of SM socio-technical information security factors would minimize the occurrence of medical information breaches on SM. While the stronger relationship factors indicate the key SM usage factors associated with medical information breaches. Overall, the study outcome would provide empirical basis for medical institutions, SM researchers, and practitioners to rationalize and leverage SM usage in operations