Data Mining to Support Engineering Design Decision

The design and maintenance of an aero-engine generates a significant amount of documentation. When designing new engines, engineers must obtain knowledge gained from maintenance of existing engines to identify possible areas of concern. Firstly, this paper investigate the use of advanced business intelligence tenchniques to solve the problem of knowledge transfer from maintenance to design of aeroengines. Based on data availability and quality, various models were deployed. An association model was used to uncover hidden trends among parts involved in maintenance events. Classification techniques comprising of various algorithms was employed to determine severity of events. Causes of high severity events that lead to major financial loss was traced with the help of summarization techniques. Secondly this paper compares and evaluates the business intelligence approach to solve the problem of knowledge transfer with solutions available from the Semantic Web. The results obtained provide a compelling need to have data mining support on RDF/OWL-based warehoused data

Computer assisted learning vs. conventional teaching in experimental Pharmacology: perception of second year medical students

Background: The main pool of pharmacology practical teaching is formed by the use and demonstration of animal experiments. Animals have been used to demonstrate the effect of various drugs in experimental pharmacology classes, in the lab. The practical sessions in pharmacology training involving animal experiments are still taught by traditional teaching methods. Rapid development of information technology has led to newer trends in teaching and learning using Computer Assisted Learning (CAL). Keeping it in mind we decided to undertake this study to assess the perception of CAL in 2nd year MBBS students over conventional teaching in experimental pharmacology.Methods: This was an observational, questionnaire-based study. A total of hundred undergraduate MBBS (2nd year) students participated. Participants were first demonstrated an animal experiment by conventional teaching method followed by the same animal experiment demonstration on CAL. Students’ feedback was recorded on a questionnaire and analyzed.Results: The mean age of the participants was 19.88±1.28 years. The study overall observed that 62% preferred CAL to conventional (38%). Majority of the participants’ thought CAL (63%) helps to understand better over conventional (28%) and that CAL (63%) is time independent over conventional (28%). More than 85% felt that CAL was more explanatory and provided a better learning experience.Conclusions: Students preferred CAL to conventional teaching, in experimental pharmacology. It also provided insight on perception and experience of students towards CAL for experimental pharmacology. However, further studies are warranted to assess the knowledge, cognitive and psychomotor skills of students

Use Of Jute Geo Textile For Strengthening Of Sub Grade Of Road Work

Jute Geo - textiles have been successfully used for reinforcement of soil to improve bearing capacity. In this paper the jute Geo - textiles as a tensile materials have been used for reinforcement of different kind of soils. Laboratory California bearing ratio (CBR) tests were performed to investigate the load penetration behavior of different 3 kinds of soils ( B. C. Soil, Murum & both soil ) with different kind of jute Geo textiles ( Woven jute Geo – textiles thickly netting & with thinly netting ). Samples of soil tested for CBR without reinforcement & samples are also tested with jute Geo textiles. Laid at various distance from top (i.e 1/3, 2/3 & half distance) of compacted thickness of soil suitability for improvement of sub grade in all aspect is calculated. Result shows that soil sample of 50% B. C. soil & 50 % murum with thick jute Geo textiles laid at 1/3rd distance from top are most economical & increases the CBR to considerable extent

Ayurvedic approach to the management of Karnasrava w.s.r. to Chronic Suppurative Otitis Media - Critical Review

Chronic suppurative otitis media is common infectious ailment affecting mostly children all over globe. It is one of the commonest causes of preventable deafness. It can result in long term ill effects on growing children ranging from recurrent illness, poor school performance to language development and associated psychological and cognitive development. The management strategies are limited in conventional system of medicine, aural toileting remaining one of the basic and safe measure to achieve dry ear. Medicinal and surgical options are not free from side effects and many a time may not be beneficial. Ayurveda describe a similar condition Karnasrava which have similar etiology and clinical manifestations. Ayurveda stipulate a multimodal approach to this problem with use of various local procedures and use of oral medications as well. These treatment strategies are compiled in this article with recent studies in management of this disease

Changes in the lipid contents of freshwater bivalve, Lamellidens marginalis from godavari river during different seasons (M.S)

Changes in the lipid contents different soft body tissues of Lamellidens marginalis (70-77 mm in shell length) were collected from Godavari river at Paithan 49 km away from Aurangabad city. The lipid content maximum found in foot during summer and maximum showed in gonad during monsoon and winter season. The freshwater bivalve shows maximum changes in the lipid contents from gonad, as it undergoes different stages like development, maturation and spawning during different seasons

Optimization of Process Parameters for CNC Turning using Taguchi Methods for EN24 Alloy Steel with Coated/Uncoated Tool Inserts

Coated and uncoated tool inserts offers certain degrees of control on the desired rate of tool wear and surface roughness to an extent. This work pursues the quest for realizing the optimal values for the significant process parameters that bears an influence on the response parameters. Experiments were conducted on the samples of EN 24 alloy steel material with the help of PVD coated TiAlN insert and uncoated carbide insert. The experimental runs carried out with proper variation in the levels. Levels are selected with the help of manufacturing catalogue and by pilot experimentation and results are recorded for further analysis. For this study, 9 runs designed using L9 orthogonal array of Taguchi Design of Experiment. Surface roughness was measured using a Mitutoyo surface tester at test lab and material removal rate is calculated by mathematical equation. The data was compiled into Minitab 17 software for analysis. The relationship between the machining parameters and the response variables were analyzed using the Taguchi Method. Optimization of process parameters is carried out by Grey Relational Analysis method (GRA). GRA method is a powerful and most versatile tool which can manipulate the input data as per requirement and comes with results that can be used to have best multi-objective in respective concerns

Association of OSTA index with bone mineral density (BMD) and its comparison with calcaneal quantitative ultrasound for the prediction of low BMD in peri-menopausal Indian women

Background: Osteoporosis is characterized by low bone mineral density (BMD) and an increased risk of fractures with advancing age in postmenopausal women. BMD measurements with dual energy X-ray absorptiometry (DEXA) are costly and not widely available The Osteoporosis Self-Assessment Tool for Asians (OSTA) index is a simple tool based on age and body weight to predict low BMD and identify women at risk of osteoporosis. The objective was to study the association of OSTA index with BMD (T-score) and to validate OSTA index in comparison with calcaneal Quantitative Ultrasound (QUS) for the prediction of low BMD in peri-menopausal Indian women.Methods: This was a prospective, cross-sectional, descriptive study carried out in department of physiology of a tertiary care teaching hospital (Navi Mumbai). Seventy two peri-menopausal women between 40 to 55 years with no previous diagnosis of osteoporosis were included. Participants’ socio-demographic detail, anthropometric measurements, OSTA index and QUS-based BMD was recorded. Pearson’s correlation test was used. Sensitivity, specificity, positive and negative predictive value was calculated.Results: OSTA index did not correlate with BMD in the entire samples. On subgroup analysis, OSTA index significantly correlated in a positive direction with BMD (T-score) in women in the age group of 50-55 years. OSTA index had a sensitivity of 70 %, and specificity of 84.62 % at T-score cutoff value of < -1.Conclusions: OSTA index is a simple risk assessment tool that can be used to identify women with low BMD in the age group of 50-55 years.

Performance Analysis of ESPRIT Algorithm for Smart Antenna System

ESPRIT is a high-resolution signal parameter estimation technique based on the translational invariance structure of a sensor array. The ESPRIT algorithm is an attractive solution to many parameter estimation problems due to its low computational cost. The performance of DOA using estimation signal parameter via a rotational invariant technique is investigated in this paper. By exploiting invariance’s designed into the sensor array, parameter estimates are obtained directly, without knowledge of the array response and without computation or search of some spectral measure. The exact number of samples and elements used is the most important parameter in the algorithms in order to sustain the accuracy of the direction of arrival of the incident signals. This algorithm is more robust with respect to array imperfections than MUSI