Users’ Satisfaction with Internet Service Performance-Based on User Log

We are currently on the cusp of a digital era when people engage Internet services (Int-Sevs) ceaselessly for sundry purposes such as learning, teaching, and research. However, the lack of sufficient understanding of user satisfaction still poses a huge challenge to Int-Sevs adaption to users’ dynamic needs and the provision of required services in real-time within the university’s context. This understanding is needful concerning what influences the performance of the Int-Sevs of a university. This paper, therefore, analyses the user log of about 65000 log items generated by 120 users of a university’s internet services that were collected over three months. The mixed-method approach was adopted. Thus, the two-step clustering and crosstabulation techniques were applied to identify natural groupings and examine them for existing relationships (respectively) to determine the existence of user satisfaction. The results showed a significant association and relationship between user satisfaction and Key Performance Indicators (KPIs). The study concluded that with data and efficient techniques, KPIs with user-centric criteria like user satisfaction could be investigated to find what influences the performance of a university’s IntSevs. The quality of users’ experience was omitted and left to be considered in the future in a conceivably longitudinal study

An Empirical Model for Information Retrieval System Evaluation: The User's perspective

The aspect of time has become an issue since computers were introduced into management studies and thus highlights the need for efficient paradigm that will enable easy access to information, with much ease. But this is not the case yet, since finding the desired search engine and learning how to use them for this purpose is still time consuming. The continued dominance of measures for use in the system-centered aspect of IR evaluation, which is weak for use in user-centered IR system evaluation process, remains a challenge. Therefore the purpose of this study is to present usable measures through using an empirical from user's perspective for use in the evaluation of IR system. The survey method, a robust multivariate mathematical model and the factor analytic method were experimented upon. Results showed that the model presented is promising concerning the challenges highlighted. Therefore user's own knowledge, experience and searching abilities could be harnessed and implicated in IR design and evaluation. This study therefore serves as a test bed and guide to studies in this area, which results could contribute immensely to the overall improvement of the system. However, more data and a larger sample size are required to verify the proposed model in future, with other extraction techniques

IoT technologies for livestock management: A review of present status, opportunities, and future trends

The world population currently stands at about 7 billion amidst an expected increase in 2030 from 9.4 billion to around 10 billion in 2050. This burgeoning population has continued to influence the upward demand for animal food. Moreover, the management of finite resources such as land, the need to reduce livestock contribution to greenhouse gases, and the need to manage inherent complex, highly contextual, and repetitive day-to-day livestock management (LsM) routines are some examples of challenges to overcome in livestock production. The Internet of Things (IoT)’s usefulness in other vertical industries (OVI) shows that its role will be significant in LsM. This work uses the systematic review methodology of Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) to guide a review of existing literature on IoT in OVI. The goal is to identify the IoT’s ecosystem, architecture, and its technicalities—present status, opportunities, and expected future trends—regarding its role in LsM. Among identified IoT roles in LsM, the authors found that data will be its main contributor. The traditional approach of reactive data processing will give way to the proactive approach of augmented analytics to provide insights about animal processes. This will undoubtedly free LsM from the drudgery of repetitive tasks with opportunities for improved productivity

Social informatics and use of ICT-based applications in the COVID-19 era

The COVID-19 pandemic has changed the lives of people all over the world. This paper discusses some ICT initiatives by African governments in coping with the pandemic, specifically in the areas of work, entertainment, banking, health, education and judiciary. It also examines the considerable digital divide that still exists in access to ICT infrastructure in Africa as revealed by the pandemic and the implications of this for recovery and resilience. The paper concludes with the need for African governments to take innovative steps in strengthening the ICT sector and ultimately making broadband infrastructure accessible and affordable for use

A Mobile Based Pharmacy Store Location-aware System

This paper presents a formulated mobile-based location-awareness model that was implemented into a Location-awareness System (L-aS hereafter) for finding the pharmacy location where prescribed drugs and their prices are available for sale. The scenario that inspired the model formulation was formalized using the unified modeling language. The model was implemented within the android studio integrated development environment with the L-aS database created through SQL lite database. The system was tested using user experience based testing technique. Based on core system performance testing, the system demonstrated a normal response time, resource utilization (i.e. storage and memory usage), and data use potentials of 414.6ms, 4.964mb and 1.9116 kb/secs, and 3.0296mb respectively. Therefore, the system performed well under ordinary conditions as an android application running on small memory devices. The study concluded that the developed mobile based pharmacy store location-aware system was useful to provide information to purchase prescribed drugs especially in perplexed situation(s)

Towards an Architecture-based Ensemble Methods for Online Social Network Sensitive Data Privacy Protection

Abstract - In 2014, the world woke up to a giant data breach that leveraged users’ personal information that was taken from one of the world’s biggest social network platform. Based on the literature, this was possible because of the Centralised Architectural-based Approach to protecting the privacy of users’ online data. Although the literature is inundated with decentralized approaches, there is none to the best of our knowledge that uses an ensemble of methods and draws on a consensus mechanism to address the challenges caused by the Centralised Architectural-based Approach. This paper presents a decentralized approach that adopts and adapts an ensemble of methods. These methods include cryptographic, hashing, and the plenum byzantine fault tolerance algorithms that present a consensus platform, protocol, and mechanism to use the technology of blockchain in a novel manner as a significant contribution. This paper adopts the descriptive approach in its presentation as the usable implementation of the presented proposal is near completion with issues of computational overhead addressed based on preliminary results that show promise of being able to support agreement up to ≈ 75% in terms of making changes by participants in the chain. </p

Web-Based Spatial Immunize-able Disease Surveillance System for Nigeria

The absence of spatial representation of health data often lead to poor decisions. Therefore, this paper introduces an ImDisease Surveillance System (IDSS) that can handle spatial health data using the web-based GIS capability. While ArcGIS was used to incorporate the GIS potentials; the WAMP (Window Apache MySQL and PHP) server was used to demonstrate the suitability of the system (application) to run on a local host as well as on the Internet. The health data used were randomly collected from local government areas and offices of the state ministry of health in Ekiti State as case study. Results from implementing the system showed that users were able to use the user interfaces to visualize various occurrences of immunize-able diseases; select the type of view they desired - either by local government or disease types; and graphically know the areas affected by diseases. These results - information when disseminated would assist in program planning and evaluation, and the formulation of research hypotheses for further research. We also believe that it will be useful in the deployment of health personnel and resources to address health related problems; and would also provide useful predictions