Fiji National University formed in 2010 as a result of a merger between six institutions in Fiji, namely the Fiji Institute of Technology, Fiji School of Nursing, Fiji College of Advanced Education, Lautoka Teachers College, Fiji School of Medicine and Fiji College of Agriculture. It is currently led by vice chancellor Dr. Ganesh Chand who has been an academic of the University of the South Pacific and also founder of the University of Fiji.FNU now has campuses and centres at 33 locations throughout the country, running a total of approximately 30 different courses and programmes with a staff complement of more than 1800 and in January 2012, hitting a record student enrolment of more than 20,000. Wikipedia.
Prasad R.D.,University of The South Pacific |
Prasad R.D.,Fiji National University |
Bansal R.C.,University of Pretoria |
Raturi A.,University of The South Pacific
Renewable and Sustainable Energy Reviews | Year: 2014
Energy planning can be defined as a roadmap for meeting the energy needs of a nation and is accomplished by considering multiple factors such as technology, economy, environment, and the society that impact the national energy issues. Long-term energy planning is a strategic approach to study how structural changes of a nation would affect the energy demand and supply. This is done through scenario analysis which would also cater for uncertainty in planning. Good energy plan would ensure sustainable development which acts as a guiding factor for any energy scheme. In this paper, we present an overview of the different facets of energy planning based on a comprehensive literature review. It present the risks, uncertainties and errors involved in energy planning. The econometric, optimization and simulation models are reviewed and five appropriate computer models, that can be used for a small developing island nation's long-term energy planning using scenario analysis, are discussed. This paper also discusses the inquiry method and elaborates on why it can be used for energy planning in small developing island countries. Validation process of energy models is also presented and finally, recommendations are made for energy planners. © 2014 Elsevier Ltd.
Prasad R.,Fiji National University |
Upadhyay N.,Lovely Professional University |
Kumar V.,Lovely Professional University
Microchemical Journal | Year: 2013
The liquid chromatography method for simultaneous determination of seven carbamate pesticides, viz. aldicarb, benomyl, carbofuran, ethiofencarb, methomyl, thiophanate ethyl and thiophanate methyl has been described. The method employed a Zorbax Eclipsed XGB C-8, column and 30:70 acetonitrile-water mixture (v/v) as mobile phase with UV detection at 235 nm. Good separation of all these carbamates was achieved at 1 mL/min flow rate of the mobile phase at 25 °C. Their recovery from food grains fenugreek leaves and apples was found to be > 80%. The commercial grade carbamate formulations containing benomyl, carbofuran, methomyl and thiophanate methyl were also analyzed and residue levels of these commercial formulations on selected food matrices were analyzed for comparison. The method had good peak resolution, high precision, low limit of detection and high degree of reproducibility. It could be applied for rapid screening and quantization of these carbamates in real sample matrices sold in the local markets. © 2012 Elsevier B.V.
Snowdon W.,Deakin University |
Snowdon W.,Fiji National University |
Thow A.M.,University of New South Wales
Obesity Reviews | Year: 2013
Summary: The Pacific Island countries experience some of the highest rates of obesity in the world in part due to substantial dietary changes that mirror changes in the food supply in the region. Economic and political ties, donor aid, and trade links are key drivers of the changing availability and accessibility of processed and imported foods. Pacific Island countries have been innovative in developing trade-related policy approaches to create a less obesogenic food environment. Taxation-based approaches that affect pricing in the region include increased import and excise tariffs on sugared beverages and other high-sugar products, monosodium glutamate, and palm oil and lowered tariffs on fruits and vegetables. Other approaches highlight some higher-fat products through labeling and controlling the supply of high-fat meats. The bans on high-fat turkey tails and mutton flaps highlight the politics, trade agreements and donor influences that can be significant barriers to the pursuit of policy options. Countries that are not signatories to trade agreements may have more policy space for innovative action. However, potential effectiveness and practicality require consideration. The health sector's active engagement in the negotiation of trade agreements is a key way to support healthier trade in the region. © 2013 The Authors. Obesity Reviews published by John Wiley & Sons Ltd on behalf of the International Association for the Study of Obesity.
Valluri M.R.,Fiji National University
Proceedings - 2015 2nd International Conference on Mathematics and Computers in Sciences and in Industry, MCSI 2015 | Year: 2015
Digital signatures are important primitives for building secure systems and are widely used in internet and electronic commerce for authencation. The most famous digital signature schemes are based on either the intractability of the integer factorization problem or the discrete logarithmic problem over finite fields. With Shor's algorithm on a quantum computer, these problems become tractable. Hence developments of signature schemes which are not based on these problems are crucial for maintaining information security. This paper introduces the conjugate twisted root extraction problem, and proposes a digital signature scheme based on a group of 2 × 2 matrices over N-truncated one variable polynomials. Its security relies on the cojugate twisted e-th root extraction problem. We prove that an adversary cannot forge a signature on a document unless the adversary extracts the e-th root in this group. The performance and other security issues are also discussed. © 2015 IEEE.
Dubey A.D.,Fiji National University
Advances in Intelligent Systems and Computing | Year: 2015
In this paper, a comparative study of adaptive neural fuzzy inference system and support vector machine regression models for the purpose of monthly rainfall prediction has been done. The models were trained, validated and tested using 50 years (1960-2010) of historical climatic data of Varanasi, a district in Uttar Pradesh state of India. The data used as the predictors in these models were monthly relative humidity, atmospheric pressure, average temperature and wind speed of Varanasi. The adaptive neural fuzzy inference system (ANFIS) model used in this study is generated using grid partitioning method and its performance was analyzed. The v-support vector regression (v-SVR) model is also developed for the comparative analysis of the rainfall prediction and the kernel used for this model is Radial Basis Function. The performance criteria of these models were Mean Square Error (MSE), Root Mean Square Error (RMSE), Mean Absolute Error (MAE), Nash-Sutcliffe model efficiency coefficient (E) and correlation coefficient R. In this study, it is observed that the performance of adaptive neural fuzzy inference system (ANFIS) model which is optimized using hybrid method has better performance than v-SVR. © Springer International Publishing Switzerland 2015.
Dubey A.D.,Fiji National University
2016 International Conference on Computer Communication and Informatics, ICCCI 2016 | Year: 2016
In recent times, gold has been one of the prioritized commodities in terms of long term as well as short term investments since the investors consider gold as a hedgerow against the unforeseen events leading to chaos in the market. Consequentially, the price of gold in the market plays an important role. In this research work, time-series gold price prediction models have been developed using the support vector regression and anfis models for the prediction of daily gold prices. The support vector model was designed using epsilon support vector regression method while the adaptive neural fuzzy inference systems have been developed using grid partition and subtractive clustering methods. The gold prices obtained for the training and testing were obtained from Perth Mint of Australia. The evaluation criteria for the comparison of the models are Mean Absolute Error (MAE), Root Mean Square Error (RMSE), Nash-Sutcliffe model efficiency coefficient (E) and Mean absolute percentage error (MAPE). It was observed that the models obtained using support vector regression outperformed the ANFIS models. In the ANFIS models, it was observed that ANFIS-GP performed slightly better than the ANFIS-SC model. © 2016 IEEE.
Piyare R.,Fiji National University |
Tazil M.,Fiji National University
Proceedings of the International Symposium on Consumer Electronics, ISCE | Year: 2011
Technology is a never ending process. To be able to design a product using the current technology that will be beneficial to the lives of others is a huge contribution to the community. This paper presents the design and implementation of a low cost but yet flexible and secure cell phone based home automation system. The design is based on a stand alone Arduino BT board and the home appliances are connected to the input/ output ports of this board via relays. The communication between the cell phone and the Arduino BT board is wireless. This system is designed to be low cost and scalable allowing variety of devices to be controlled with minimum changes to its core. Password protection is being used to only allow authorised users from accessing the appliances at home. © 2011 IEEE.
Valluri M.R.,Fiji National University
2015 World Congress on Industrial Control Systems Security, WCICSS 2015 | Year: 2015
This paper introduces the twisted ring-root extraction problem, and proposes an identification protocol whose security is tied to the twisted ring-root extraction problem: given an endomorphism ψ of a ring R of N-truncated single-variable polynomials over a finite field of prime order, and given an integer e ≥ 2, and a polynomial y ∈ R; find a polynomial s ∈ R such that y = ψ(se) (assuming at least one such s exists). We suggest that this problem is suitably difficult to serve as a cryptographic assumption over the platform ring R. The performance, key space, and other security issues are also discussed. © 2015 Infonomics Society.
Bhat R.,Fiji National University
Food Chemistry | Year: 2016
Impact of ultraviolet (UV-C) radiation treatments (0, 15, 30 and 60 min) on freshly extracted tomato juice quality (physicochemical properties, antioxidant activity and microbial load) was evaluated. On exposure to UV-C, level of water activity, total soluble solids, and titratable acidity exhibited non-significant increase up to 30 min of exposure time. Regarding colour analysis, L∗ value significantly increased with subsequent decrease in a∗ and b∗ values post UV-C treatments. Clarity, DPPH (1,1-diphenyl-2-picrylhydrazyl) radical scavenging activity and total phenolics content significantly increased, whereas ascorbic acid level significantly reduced at 60 min of UV-C exposure time. So also, lycopene content exhibited a non-significant decrease after UV-C treatment. Microbial studies showed reduction in total plate count and total mould counts post UV-C treatment. Overall, UV-C treatment being a physical, non-thermal method of food preservation holds the ability to improve or preserve vital quality parameters in freshly prepared tomato juices, and henceforth possesses high scope for commercial exploration. © 2016 Elsevier Ltd
Sami J.,Fiji National University
International Journal of Energy Economics and Policy | Year: 2011
The current literature on the relationship between electricity, exports and economic growth is mixed. This paper examines the relationship between exports, electricity consumption and real income per capita in Japan using time series data from 1960-2007. We applied bounds testing procedure developed by Pesaran et al., (2001) and found that there is cointegrating relationship between electricity consumption, exports and economic growth. On establishing cointegration, the causal relationship electricity consumption, exports and economic investigation was investigated within a Vector Error Correction Model (VECM) framework. We found that in the long run, there is causality from exports and real GDP per capita to electricity consumption.