A User Readiness Model of Social Media for Learning among Polytechnic Students in Nigeria

The adoption of Internet resources for learning continues to grow in the world today. Despite the abundant benefit of utilizing social media due to the growth of web 2.0, an internet resource for communication and interaction, its use has not been fully embraced as a teaching tool in Nigeria. Social media is becoming a prominent communication tool and found to be facilitating teaching and learning activities among students. However, the user readiness of social media in learning by the students has been challenging. Despite the wide acceptance of social media (such as Facebook, Twitter, and WhatsApp, e.t.c.) amongst Nigerian polytechnic students, they do not utilize it for academic pursuit. This study examined the Use of Social Media among students in Nigerian Polytechnics. The main objective of this study is to find out the user readiness’ factors that influence the use of social media by the students in Nigerian Polytechnic. The evaluation results show that social media is an indispensable Internet platform among Nigerian Polytechnic students

A multi-robot educational and research framework

Robots have greatly transformed human’s life. Multi-disciplinary research in robotics essentially demands having sophisticated frameworks with diverse range of capabilities ranging from simple tasks like testing of control algorithms to handling complex scenarios like multiple robot coordination. The present research addresses this demand by proposing a reliable, versatile and cheap platform enriched with enormous features. The framework has been conceptualized with three robots having different drive mechanisms, sensing and communication capabilities. The proposed ‘Wanderbot’ family consists of ForkerBot, MasterBot and HexaBot. The ForkerBot is a four-wheeled robot equipped with ultra sonic range finder, wheel encoder, bump sensor, temperature sensor, GSM, GPS and RF communication modules. The robot, having a payload capacity of 8 pounds, supports both Differential and Ackerman drive mechanisms and can be used to validate advanced obstacle avoidance algorithms. The MasterBot is also a wheeled robot with an on-board camera and is skid-steered. The robot finds potential in research on image processing and computer vision and in analysis and validation of algorithms requiring high-level computations like complex path traversal. The third member in the Wander family, HexaBot, is a six-legged robot, which is able to exhibit the movement of tripod gait and can be used for investigating walking and climbing algorithms. The three members of Wander family can communicate with one another, thus making it a good candidate for research on coordinated multi-robots. Additionally, such a prototyped platform with vast attractive features finds potential in an academic and vocational environment

RLS Filter Using Covariance Information and RLS Wiener Type Filter based on Innovation Theory for Linear Discrete-Time Stochastic Descriptor Systems

It is known that the stochastic descriptor systems are transformed into the conventional state equation, the observation equation and the other equation, by using the singular value decomposition. Based on the preliminary problem formulation for the linear discrete-time stochastic descriptor systems in section 2, this paper, in Theorem 1, based on the innovation theory, proposes the recursive least-squares (RLS) filter using the covariance information of the state vector in the state equation and the covariance information of the observation noise in the observation equation. The state equation and the observation equation are transformed from the descriptor systems. Secondly, in Theorem 2, based on the innovation theory, this paper proposes the RLS Wiener type filter for the descriptor systems. It might be advantageous that these filtering algorithms in this paper are derived based on the innovation theory in a unified manner. A numerical simulation example is demonstrated to show the estimation characteristics of the proposed RLS Wiener type filtering algorithm for the descriptor systems

Information Security Threats to e-government Services in Kenya

This study examined information security threats to e-government services commonly known as e-citizen Grounded on General Systems Theory examined the nature of complex inter-relationships and interdependence of global society states non-state actors and individuals and how they relate in a complex internet enabled communication network Mixed method cross sectional survey was used Targeted population of 12000 respondents from 51 Huduma Centres Purposive sampling at 10 was chosen where 1200 structured questionnaires issued returned 966 responses at 80 The data was processed and analysed using SPSS The hypothesis was tested at 5 significance level The study found that Kenyan citizens were the majority at 50 Companies at 35 Foreign Agencies 10 and Foreign Nationals at 5 The services sought Government to G2C 43 Government to Business G2B 35 Government to employees G2E 20 and Government to Government G2G 2 The study identified 12 categories of information security threats i e unauthorized access illegal devices unauthorized codes distributed denial of services ddos false publications computer frauds cyber espionage terrorism and squatting phishing identity thefts electronic interceptions fraudulent electronic data employee aiding and child pornograph

RLS Wiener Filter and Fixed-Point Smoother with Randomly Delayed or Uncertain Observations in Linear Discrete-Time Stochastic Systems

This paper designs the recursive least-squares (RLS) Wiener fixed-point smoother and filter from randomly delayed observed values by multiple sampling times or uncertain observations in linear discrete-time stochastic systems. The observed value is generated in terms of the delayed observed values or uncertain observed values. In the case of the observed value with delay or without delay, their probabilities are assigned. Here, each observation includes signal plus white observation noise. Related to the uncertain observed value with delay or without delay, the probability that the observation consists of only observation noise is allocated, according to the time delayed or not delayed. It is assumed that the delay and uncertain measurements are characterized by the Bernoulli random variables. The RLS Wiener estimators use the following information. (1) The system matrix. (2) The observation matrix. (3) The variance of the state vector. (4) The probabilities concerned with the delayed observation and the uncertain observation. (5) The variance of white observation noise