Showing papers by "Trilok Singh published in 2007"

Blast induced air overpressure and its prediction using artificial neural network

Abstract: Air blast is considered to be one of the most hazardous environmental disturbances created by blasting operation. Prediction of air overpressure (AOP) generated owing to blasting is difficult due to the influence of several factors in the air wave transmission. Blast design parameters, wind direction and speed, atmospheric temperature, humidity and topography, etc. are all affecting AOP. In this paper, an attempt has been made to predict AOP using artificial neural network (ANN) by incorporating the most influential parameters like maximum charge weight per delay, depth of burial of charge, total charge fired in a round and distance of measurement. To investigate the effectiveness of this approach, the predicted values of AOP by ANN were compared with those predicted by generalised equation incorporating maximum charge weight per delay and distance of measurement. Air overpressure data sets obtained from four different mines in India were used for the neural network as well as to form generalised...

Senslide: a distributed landslide prediction system

Abstract: We describe the design, implementation, and current status of Senslide, a distributed sensor system aimed at predicting landslides in the hilly regions of western India. Landslides in this region occur during the monsoon rains and cause significant damage to property and lives. Unlike existing solutions that detect landslides in this region, our goal is to predict them before they occur. Also, unlike previous efforts that use a few but expensive sensors to measure slope stability, our solution uses a large number of inexpensive sensor nodes inter-connected by a wireless network. Our system software is designed to tolerate the increased failures such inexpensive components may entail.We have implemented our design in the small on a laboratory testbed of 65 sensor nodes, and present results from that testbed as well as simulation results for larger systems up to 400 sensor nodes. Our results are sufficiently encouraging that we intend to do a field test of the system during the monsoon season in India.

Effect of pH on the physico-mechanical properties of marble

Abstract: The physico-mechanical properties of rocks are important parameters in the planning and design of mining and civil constructional works. These properties are adversely affected by acidic and alkaline environments. In the present study, marble rock specimens were tested in the laboratory after treatment with different pH solutions for 15 h. The physico-mechanical properties of the marble were determined in both acidic and alkaline conditions. The study revealed that the strength properties are higher at pH 7 and lower in acidic and alkaline conditions. The strength reduction in acidic conditions is greater than that in the alkaline conditions.

A neuro-genetic approach for prediction of time dependent deformational characteristic of rock and its sensitivity analysis

Abstract: The creep strain is proportional to the logarithm of the time under load, and is proportional to the stress and the temperature. At higher temperatures the creep rate falls off less rapidly with time, and the creep strain is proportional to a fractional power of time, with exponent increasing as the temperature increases and reaching a value ∼1/3 at temperatures, of about 0.5 T m. At these temperatures the creep increases with stress according to a power greater than unity and possibly exponentially increases with temperature as (−U/kT), where U is an activation energy and k is Boltzman’s constant. There are different methods to determine the creep strain and the energy of Jog (B) such as by experimental methods and multivariate regression analysis etc. These methods are cumbersome and time consuming. In conjunction with statistics and conventional mathematical methods, a hybrid method can be developed that may prove a step forward in modeling geotechnical problems. In the present investigation, Artificial Neural Network (ANN) technique and Co-active neuro-fuzzy inference system (CANFIS) backed Genetic algorithm technique have been used for the prediction of creep strain and energy of Jog (B), and a comparative study has made between the two models.

Prediction of biochemical failure in localized carcinoma of prostate after radical prostatectomy by neuro-fuzzy.

Abstract: Objective: To predict biochemical failure in localized prostate cancer after radical prostatectomy using preoperative variables. Materials and Methods: Twenty-six patients of early carcinoma of prostate underwent open retropubic radical prostatectomy from June 2002 to June 2006. Preoperative variables included age, family history, digital rectal examination, serum prostatic specific antigen (S. PSA), prostate biopsy Gleason score, MRI of pelvis variables like periprostatic extension, seminal vesical invasion, weight of gland and pathological stage. With application of neuro-fuzzy, these variables were fed into system as input and output, that is S. PSA at six months (predicted value) was calculated. Neuro-fuzzy system is a system to combine fuzzy system with learning techniques derived from neural networks. Here, we applied Takagi Sugeno Kang model (TSK) due to its close solution to our aim. All the patients were followed up for a minimum of six months. At six month S. PSA of all patients was done (observed value). Predicted and observed values were compared. Result: Predicted and observed values were plotted on 1:1 slop line. Coefficient of correlation was 0.9935. Conclusion: Coefficient of correlation is close to one. It indicates that the neuro-fuzzy is accurate in predicting biochemical failure in localized carcinoma of prostate after radical prostatectomy.

Design of stable slopes for Songun copper mine

Abstract: Slope angle is a critical parameter in the design of open pit mines. With low slope angles stripping ratio is increased considerably, adversely affecting the economics. Steep slope angles may reduce safety and cause failure. Therefore, a compromise is necessary to optimise the slope angle. Methods to analyse the stability of open pit slopes include limit equilibrium methods, empirical methods, physical and numerical methods. In the present work the fast Lagrangian analysis of continua (FLAC) software package was applied to determine overall slope angles in different parts of the proposed Songun copper mine, Iran. Five vertical sections with a proper coverage of all parts of the mine were considered. Stability analysis was performed with a safety factor of 1·2 to determine stable angles for each section. On the basis of analysis, slope angles of 25 and 37° were selected for the southern and south western parts and for the north and north eastern parts of the mine respectively. Sensitivity analyses ...