Bakoss, SL, Burfitt, AJ & Cridland, L 1977, 'MEASUREMENT OF STRAINS IN CONCRETE MEMBERS WITH VIBRATING WIRE STRAIN GAUGES.', Aust Road Res, vol. 7, no. 3, pp. 20-26.
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This paper presents information relating to the application and performance of the embedment type vibrating wire strain gauge. A typical gauge and its principle of operation are described and methods of calibration are given. Sources of possible errors in measured strains, in particular those resulting from distrubances caused by embedding the gauge, are considered. Methods for installing gauges to measure both short-term and time-dependent long-term strains are presented. Some results that were obtained with vibrating wire gauges are compared with measurements made with mechanical and electric-resistance gauges. Refs.
COOK, DJ, MORGAN, DR, SIRIVIVATNANON, V & CHAPLIN, RP 1977, 'RAMACHANDRAN,VS AND SEREDAS,PJ DISCUSSION ON DIFFERENTIAL THERMAL-ANALYSIS OF PREMIX POLYMER CEMENT MATERIALS - REPLY', CEMENT AND CONCRETE RESEARCH, vol. 7, no. 3, pp. 357-358.
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CRIDLAND, L, BAKOSS, SL & BURFITT, AJ 1977, 'LOW-COST CREEP RIG FOR CONCRETE', MAGAZINE OF CONCRETE RESEARCH, vol. 29, no. 100, pp. 147-150.
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A low-cost creep rig based on a commercially available flexible-diaphragm jack (flat jack) was developed by the authors. It was designed for creep tests on 380 x 130 x 130 mm specimens at a maximum load of 170 kN. A portable hydraulic hand pump is used with the flat jack to apply the load. Thirty rigs of this type have been used, six of them for continuing tests over a period of three years. The paper describes the methods used to calibrate the jack and shows that the rig is capable of maintaining a constant load to the accuracy required by the Australian Standard. © 1977, Thomas Telford Ltd. All rights reserved.
Loganathan, P & Nalliah, V 1977, 'Downward movement and transformation of phosphorus in soils after long-continued fertilizer application to coconut (Cocos nucifera)', The Journal of Agricultural Science, vol. 89, no. 2, pp. 279-284.
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SummaryDeterminations of sodium bicarbonate (pH 8·5) extractable P made on profiles of a sandy loam soil 7 and 8 years after fertilizer application to coconut in the Dry zone of Sri Lanka showed that the downward movement of P from concentrated superphosphate was greater than from rock phosphate (saphos). The surface layers (0–15 cm) of soil given concentrated superphosphate had higher P values (60 and 89 mg/kg for the 8th and 9th year respectively) than those given rock phosphate (3 and 16·5 mg/kg). At 40 cm depth the concentrated superphosphate treatment had 6 and 30 mg P/kg but the rook phosphate treatment had almost zero P at and below 40 cm.Phosphorus in the soil profile 8 years after fertilizer application was fractionated by the method of Chang & Jackson. Concentrated superphosphate treatment increased the Al-P and to a lesser degree Fe-P and Ca-P. Rock phosphate treatment increased the Ca-P and to a lesser extent Fe-P and Al-P. Phosphorus concentration in the 14th leaf was significantly correlated with Al-P, Fe-P and NaHCO3-P but not with Ca-P and organic P.The significance of the findings to phosphorus fertilizer application to coconut is discussed.
LOGANATHAN, P & NALLIAH, V 1977, 'DOWNWARD MOVEMENT AND TRANSFORMATION OF PHOSPHORUS IN SOILS AFTER LONG-CONTINUED FERTILIZER APPLICATION TO COCONUT (COCOS-NUCIFERA)', JOURNAL OF AGRICULTURAL SCIENCE, vol. 89, no. OCT, pp. 279-284.
LOGANATHAN, P, BURAU, RG & FUERSTENAU, DW 1977, 'INFLUENCE OF PH ON SORPTION OF CO-2+, ZN-2+ AND CA-2+ BY A HYDROUS MANGANESE OXIDE', SOIL SCIENCE SOCIETY OF AMERICA JOURNAL, vol. 41, no. 1, pp. 57-62.
Tanatsugu, K & Arikawa, S 1977, 'On characteristic sets and degrees of finite automata', International Journal of Computer & Information Sciences, vol. 6, no. 1, pp. 83-93.
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This article applies Machine Learning techniques to solve Intrusion Detection problems within computer networks. Due to complex and dynamic nature of computer networks and hacking techniques, detecting malicious activities remains a challenging task for security experts, that is, currently available defense systems suffer from low detection capability and high number of false alarms. To overcome such performance limitations, we propose a novel Machine Learning algorithm, namely Boosted Subspace Probabilistic Neural Network (BSPNN), which integrates an adaptive boosting technique and a semi parametric neural network to obtain good tradeoff between accuracy and generality. As the result, learning bias and generalization variance can be significantly minimized. Substantial experiments on KDD 99 intrusion benchmark indicate that our model outperforms other state of the art learning algorithms, with significantly improved detection accuracy, minimal false alarms and relatively small computational complexity.
