Graduate training is one of the core courses offered in all polytechnics systems in Nigeria, each polytechnic gives orientation programmes and deploys students for industrial training once a year. These processes of pen on paper method throw serious challenges because of time authorization and time frame. Placement of undergraduate students looking for relevant Industrial Training (IT) attachment is becoming worrisome. This research tends to provide a web based solution called Digital Collaborative Framework (DCF) for Students’ Industrial Work Experience Scheme (SIWES) and sustainability in Federal Polytechnic Offa, Nigeria. This is to bridge the gap between educational institutions and the industries subject to training and re-training perspectives. The stakeholders can easily turn DCF into e-administrative tools, then allow students to get industrial placement relevant to their field of studies. The research proposed to develop a productive web application using Codeigniter Php framework. This research will serve as a cloud database to students, staff and other stakeholders and create access to examine, monitor and measure students’ performance at the end of the (SIWES) scheme.
The prospect behind digital transformation strategies makes the healthcare systems more safe, affordable, and accessible with remarkable opportunities. The reasons why patients decided to have negative medication adherence became a critical challenge in the healthcare system. This study presents a Digital Framework Strategy DSF for patient medication adherence to improve patient health during the treatment regime. A case study of the Federal Polytechnic Medical centre and clinical activities of Offa General Hospital examines the existing treatment of chronic diseases. The cloud-based server revolves around Convolution Neural Network (CNN) feature to perform a real-time collection of data and analytics of patient information. When thoroughly combined, the CNN of the neural network has a model of the application, which will form part of the desired output. This output presents a level of patient medication adherence within the parameters—the data around the enclosed sources. The approach data was acquired with the patient wearing a sensor and smartphone devices. The model throughputs presented detailed analytics of individual patient adherence behaviors. The result of CNN performance revealed 96.99% accuracy of medication adherence level on a tested dataset collation, and the essence of digital framework analytics helped the healthcare workers (HCW) and healthcare providers to make prompt decisions on patients’ medical conditions.
Gunshot detection technologies are more applicable in many industries for the security enhancement of public places like the Federal Republic Territory FCT Abuja in Nigeria. Many factors affect the accuracy of the gun detection algorithm. This paper describes an audio-based video surveillance system in an auto pilot situational awareness to detect gunshots in Federal Polytechnic Offa. The Time Difference of Arrival (TDOA) of Shock Wave and Muzzle Blast is integrated to estimate the shooter location in the study are. The proposed design and algorithm was validated and shooter origin was resolute that was very close to theoretical values. The video camera is steering regarding the initial position to localize the acoustic source's position. Implementing an auto pilot situational awareness system is an experimental procedure with a gunshot detection algorithm in a localized environment. In the direction of the weapon, the distance between firearms, types of ammunition, types of study environment, and diffraction of audio, the standard feature for gunshot recognition are Mel frequency cepstral coefficients in terms of uniform gamma-tone filters linearly spaced over the whole frequency range from 0KHZ to 16KHZ. Experiments show that our system can detect gunshots with a precision of 93% at a false rejection rate of 5% when the SNR is 10db while proving the estimate of the source direction of the gunshot with an accuracy of one degree. The outcomes reveal that the data generated by the system can be leveraged by the firefighting department to quickly locate the whereabouts of the indoor fires, and the VR gamification scenarios can expedite the development of situational awareness for the trainees. The research recommends a real-time system implementation for protecting the Federal Polytechnic Offa against any form of treats.
Facilities management (FM) is a function that adapts because of changing external environment. Priority Service Provider (PSP) is one method used by FM to deliver this change in strategy. There is an estimated 323 million PSP usage in over 70 countries out of over 550 billion industries worldwide. This research explored FM and the invention of Priority Service Provider PSP technology to facilitate customer problems in public and tertiary institutions. The study aimed to eradicate long queues and personal influence in delivering products and services in a remote environment. To achieve this, low-cost, portable microcontroller-based electronic queue control (EQC) systems have been developed to control queues with the parameter of Federal Polytechnic Offa campuses to identify dense population areas in tertiary institutions' service units. Two different queue control systems have been implemented with slightly different features. In system-1, a general display has been used for displaying token numbers and service counter numbers, whereas, in system-2, each token number is displayed individually in each service counter with separate displays. In both systems, each visitor has to collect a token and then will be served whenever the token number is displayed. Integrated Arduino UNO carried out the experimental study to create an artefact. The control programs have been developed using the Arduino C programming language. Finally, the systems have been tested under different conditions to evaluate their performance.
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