Lae, Papua New Guinea

The Papua New Guinea University of Technology or 'Unitech' is located 8 km outside of Lae, in the Morobe Province of Papua New Guinea. It has 13 teaching departments and 3 affiliated colleges.It is the second largest university in PNG after its 'sister' university the University of Papua New Guinea in Port Moresby. While UPNG concentrates on the arts, pure science, law and medicine, Unitech focuses on research in technological or applied science. It is the only technological university in the South Pacific, outside of Australia and New Zealand. Wikipedia.


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Baiga R.,Papua New Guinea University of Technology | Rajashekhar Rao B.K.,Papua New Guinea University of Technology
Soil Use and Management | Year: 2017

Experiments were conducted to study the effect of soil applications of kunai grass (Imperata cylindrica) biochar (0 and 10 t/ha) and laboratory grade urea (0, 200 and 500 kg N/ha) and their co-application on nitrogen (N) mineralization in an acid soil. The results of an incubation study showed that the biochar only treatment and co-application with urea at 200 kg N/ha could impede transformation of urea to ammonium-N (NH4 +-N). Soil application of biochar together with urea at 500 kg N/ha produced the highest nitrate-N (NO3 --N) and mineral N concentrations in the soil over 90 days. Co-application of urea N with biochar improved soil N mineralization parameters such as mineralization potential (NA) and coefficient of mineralization rate (k) compared to biochar alone. In a parallel study performed under greenhouse conditions, Chinese cabbage (Brassica rapa L. ssp. chinensis L.) showed significantly greater (P < 0.05) marketable fresh weight, dry matter production and N uptake in soil receiving urea N at 500 kg/ha or co-application of biochar with urea N compared to the control. Application of biochar only or urea only at 200 kg N/ha did not offer any short-term agronomic advantages. The N use efficiency of the crop remained unaffected by the fertilizer regimes. Applications of biochar only at 10 t/ha did not offer benefits in this tropical acid soil unless co-applied with sufficient urea N. © 2017 British Society of Soil Science.


Minh V.T.,Tallinn University of Technology | Pumwa J.,Papua New Guinea University of Technology
International Journal of Control, Automation and Systems | Year: 2013

This paper is the second part of the paper titled "Simulation and Control of Hybrid Electric Vehicles" published in IJCAS, Vol. 10(2)/2012 where the model predictive control has been built to handle the clutch engagement between the combustion engine and the electrical motor. In this research, a fuzzy logic and slip controller of clutch and vibration of the hybrid vehicle have been considered and tested as a second control strategy. The use of the fuzzy logic control can avoid the need of the complex and rigorous mathematical modeling since the fuzzy logic can work very successfully on the uncertain and imprecise information. The clutch slip controller is implemented in an experimental test vehicle for the critical vibration reduction. © 2013 Institute of Control, Robotics and Systems and The Korean Institute of Electrical Engineers and Springer-Verlag Berlin Heidelberg.


Pandey S.N.,Papua New Guinea University of Technology
Nuovo Cimento della Societa Italiana di Fisica B | Year: 2010

Gravitational waves are an inevitable consequence of Einstein theory of gravitation. They are meaningfully comparable with electromagnetic waves except for their non-conformal invariance. So, to obtain them conformally invariant we modify Einstein field equations by choosing a Lagrangian as a polynomial in R of a finite number of terms without associating it with any other field except gravitation. In this modified field theory of gravity we have also studied the cosmological aspects and the spherically symmetric field along with equations of motion of a particle to bring out the features of this f (R) theory of gravitation. © Società Italiana di Fisica.


Rajashekhar Rao B.K.,Papua New Guinea University of Technology
Solid Earth | Year: 2015

The present study attempts to employ potassium (K) release parameters to identify soil-quality degradation due to changed land use patterns in sweet potato (Ipomoea batatas (L.) Lam) farms of the highlands of Papua New Guinea. Rapid population increase in the region increased pressure on the land to intensify subsistence production mainly by reducing fallow periods. Such continuous cropping practice coupled with lack of K fertilization practices could lead to a rapid loss of soil fertility and soil-resource degradation. The study aims to evaluate the effects of crop intensification on the K-release pattern and identify soil groups vulnerable to K depletion. Soils with widely differing exchangeable and non-exchangeable K contents were sequentially extracted for periods between 1 and 569 h in 0.01 M CaCl2, and K-release data were fitted to four mathematical models: first order, power, parabolic diffusion and Elovich equations. Results showed two distinct parts in the K-release curves, and 58-80% of total K was released to solution phase within 76 h (first five extractions) with 20-42% K released in the later parts (after 76 h). Soils from older farms that were subjected to intensive and prolonged land use showed significantly (P < 0.05) lower cumulative K-release potential than the farms recently brought to cultivation (new farms). Among the four equations, first-order and power equations best described the K-release pattern; the constant b, an index of K-release rates, ranged from 0.005 to 0.008 mg kgg-1 hg-1 in the first-order model and was between 0.14 and 0.83 mg kgg-1 hg-1 in the power model for the soils. In the non-volcanic soils, model constant b values were significantly (P < 0.05) higher than the volcanic soils, thus indicating the vulnerability of volcanic soils to K deficiency. The volcanic soils cropped for several crop cycles need immediate management interventions either through improved fallow management or through mineral fertilizers plus animal manures to sustain productivity. © 2015 Author(s).


Minh V.T.,Papua New Guinea University of Technology | Pumwa J.,Papua New Guinea University of Technology
International Journal of Control, Automation and Systems | Year: 2012

This research develops a typical model for a parallel hybrid electric vehicle. Model predictive controllers and simulations for this model have been built to verify the ability of the system to control the speeds and to handle the transitional period for the clutch engagement from the pure electrical driving to the hybrid driving. If the output constraints are the measured speeds and the unmeasured torques which are not strictly imposed and can be violated somewhat during the clutch engagements, a modified model predictive controller with soften output constraints has been developed. Simulations show that the new model predictive controller can control the speeds very well for rapid clutch engagements, which enhance the driving comfort and reduce the jerk on the parallel hybrid electric vehicles. © ICROS, KIEE and Springer 2012.


Kaupa P.,Papua New Guinea University of Technology | Rao B.K.R.,Papua New Guinea University of Technology
Field Crops Research | Year: 2014

Frequently nitrogen (N) deficiency limits productivity in subsistence sweetpotato (Ipomoea batatas (L) Lam.) production systems of humid tropical Papua New Guinea (PNG). It was envisaged to adopt a sub-optimal dose of 50kgNha-1 through either locally available animal manures (poultry manure and goat manure) or mineral N fertilizer to improve immediate productivity of subsistence sweetpotato crop. The study involved an incubation experiment to quantify N mineralization in relation to the crop response and efficiency of N fertilization options in field experiments. Co-application of mineral N fertilizer 25kgNha-1 along with poultry manure 25kgNha-1 produced the highest cumulative mineral N (20.8mgNkg-1) in 90 days of incubation, followed closely by sole mineral N fertilizer 50kgNha-1 and lowest mineral N (18.0mgNkg-1) release was in sole application of goat manure 50kgNha-1. N mineralization data fitted well to parabolic model and revealed most increase in potentially mineralizable N pool (NA) in soils receiving co-application of mineral N and animal manures followed by mineral N 50kgha-1 and least improvement was in sole animal manures application. Mineral N fertilizer 25kgNha-1 plus poultry manure 25kgNha-1 produced significantly (p<0.05) greater total tuber yields than control in 2011 and 2013 due to improved N uptake and N use efficiency. Present study, substantiates the appropriateness of promoting small dose of N at 50kgNha-1 in the subsistence sweetpotato production systems of PNG. Co-application of animal manures 25kgNha-1 with mineral N fertilizer 25kgNha-1 assembles best option by improving potentially mineralizable N in the soil and enhancing efficiency of applied N. © 2014.


Singh K.K.,Papua New Guinea University of Technology | Pal M.,National Institute of Technology Kurukshetra | Singh V.P.,Texas A&M University
Water Resources Management | Year: 2010

This paper explored the potential of Backpropagation Neural Network (BNN) and M5 model tree based regression approach to estimate the mean annual flood. Data used in this study were taken from an earlier study by Swamee et al. (J Water Resour Plan Manage 121:403-407, 1995) for 93 Indian catchments spread over the entire country. The relationship proposed by Swamee et al. (J Water Resour Plan Manage 121:403-407, 1995) was compared with the predictive accuracy of a BNN and M5 model tree approach. The data were analyzed using a tenfold cross validation. Comparison of the results showed that predictions with the backpropagation neural network fell within a scatter line of ±30% with a correlation coefficient of 0.975. Furthermore, predictions with the M5 model tree fell well within a scatter line of ±15% with a correlation coefficient as high as 0.994. The results also showed that predicted values with neural network and M5 model tree were within about 1.25 times the actual values. However, the predicted values obtained using the Swamee et al. (J Water Resour Plan Manage 121:403-407, 1995) approach fell much beyond the scatter line of ±50% and the predicted mean annual flood values were sometimes as high as eight times the actual values. The correlation coefficient with this approach was 0.897. The results from this study suggest that backpropagation neural network and M5 model tree-based modeling approaches are superior in accuracy to the model proposed by Swamee et al. (J Water Resour Plan Manage 121:403-407, 1995). This study also suggests that M5 model trees, being analogous to piecewise linear functions, have certain advantages over neural networks as they offer more insight into the generated model, are acceptable to decision makers and are very efficient in training, and always converge. © 2009 Springer Science+Business Media B.V.


Pumwa J.,Papua New Guinea University of Technology
ASME International Mechanical Engineering Congress and Exposition, Proceedings (IMECE) | Year: 2010

Interest in engineering ethics education has developed significant momentum in almost all advanced countries. The developing countries have not yet paid enough attention to such critical issues and Papua New Guinea is no different. This is probably the reason why corruption activities have become part of the normal activities of politicians, senior public servants and many other higher office holders as reported in the daily news media. As engineering work becomes more complex and diverse, an understanding of engineering ethics becomes an important attribute for adequate and ethical preparation of engineers along with their technical knowledge. This basically means that engineering students have to learn about their ethical obligations towards society, their employers, fellow engineers and themselves. This paper discusses the needs and reasons for integrating ethics into the education of undergraduate engineering students in Papua New Guinea. © 2013 ASME.


Surendra B.,Papua New Guinea University of Technology
Journal of Mines, Metals and Fuels | Year: 2010

The factors responsible for the increase in the export of iron ore from India have been discussed. The iron ore resources in the country have been estimated, employing UNFC norm, at about 25 billion tones, of which 14 billion tones is hematite and 11 billion tones is of magnetite variety. India's iron ore resources have increased by an average of 307 million tones per year during 1980-2005 despite continuous extraction for domestic consumption and export. The ore resources are estimated at a little over 25 billion tones, considering a depth of 50-60 meters. Indian iron ore mines have to depend on very old style small capacity rail and port facilities operated by different agencies, resulting in frequent transport bottlenecks and therefore very low export shipments. The efficient mix of deregulation, privatization, appropriate incentives at the central and state government levels would result in the increase of exports of iron ore from India from the 100 million tones to 200 million tones by the year 2020.


Walter R.,Papua New Guinea University of Technology | Rao B.K.R.,Papua New Guinea University of Technology
Journal of Plant Nutrition and Soil Science | Year: 2015

Currently, the biomass of an invasive and obnoxious weed, kunai grass (Imperata cylindrica), is uncontrollably burnt in Papua New Guinea in subsistence farming systems resulting in unwarranted negative environmental consequences. We explored the possibility of sustainable utilization of biochar produced from the weed biomass along with a standard feedstock-rice husk (Oryza sativa). Biochars were produced with lab-scale pyrolysis at 550°C, characterized for chemical properties and plant nutrient composition. Further, agronomic efficacy of soil incorporation of biochars (5 t ha-1) or co-applied with mineral fertilizers (100, 11, and 62 kg ha-1 N, P, K, respectively) was tested for sweet potato (Ipomoea batatas L. Lam) in a field experiment. The two biochars differed significantly (P < 5%) with respect to recovery from the feedstocks, chemical characters and nutrient composition. Kunai grass biochar was poorer in nutrients (< 1%) with distinctly alkaline pH and higher electrical conductivity. Biochar amendment to soil showed significant (P < 5%) improvement of soil moisture, while co-application of biochars along with mineral fertilizers showed soil moisture decrease. Biochar amendment improved the growth parameters and total tuber yield of sweet potato by about 20%, while co-application with mineral fertilizers augmented total tuber yield by 100% and above-ground biomass yields by > 75%. Besides, improving agronomic performance of sweet potato crop, co-application of biochars with mineral fertilizers enhanced uptake of N, P, K, Ca, Mg, and S. Production and utilization of biochar in sweet-potato production could offer an efficient means of disposing biomass of kunai grass with concomitant productivity improvement in Papua New Guinea. © 2015 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

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