Correlation-based feature selection for association rule mining in semantic annotation of mammographic medical images

Mining of high dimension data for mammogram image classification is highly challenging. Feature reduction using subset selection plays enormous significance in the field of image mining to reduce the complexity of image mining process. This paper aims at investigating an improved image mining technique to enhance the automatic and semi-automatic semantic image annotation of mammography images using multivariate filters, which is the Correlation-based Feature Selection (CFS). This feature selection method is then applied onto two association rules mining methods, the Apriori and a modified genetic association rule mining technique, the GARM, to classify mammography images into their pathological labels. The findings show that the classification accuracy is improved with the use of CFS in both Apriori and GARM mining techniques

Public private partnership (PPP) in road projects: critical success factors in the Indian context

Paper presented at the 30th Annual Southern African Transport Conference 11-14 July 2011 "Africa on the Move", CSIR International Convention Centre, Pretoria, South Africa.The Public Private Partnerships (PPPs) have come a long way into the road infrastructure projects in lndia. A mix of Design-Build-Finance-Operate-Transfer (DBFOT) type toll or annuities where laws, regulations, institutions, modalities, funding, sub national development, expansion into non-traditional areas for PPP etc., are being developed for implementation. The current approaches for selection of PPP road projects are based upon assessment of combined effects of both financial and non-financial (risks and opportunities) without considering all relevant success factors to evaluate a given project. This paper tries to identify the Critical Success Factors (CSFs) for Indian PPP Highways projects and their relative importance to assess the projects viability. These CSFs thus can help in selecting/evaluating the projects put to developers for bidding under provisions of model concession agreement (MCA). A sensitivity analysis is carried out on subjective judgment of developers without appropriate formalism for non financial aspects.This paper was transferred from the original CD ROM created for this conference. The material was published using Adobe Acrobat 10.1.0 Technology. The original CD ROM was produced by Document Transformation Technologies Postal Address: PO Box 560 Irene 0062 South Africa. Tel.: +27 12 667 2074 Fax: +27 12 667 2766 E-mail: nigel@doctech URL: http://www.doctech.co.zaCD sponsored by TRANSNE

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Not AvailablePotato is a major food crop of the world and mostly grown as edible crop. It stands fourth position in cultivation at global level after rice, wheat and maize crops. Potatoes are traditionally grown by whole tubers; however, they can also be grown by other vegetative organs. During potato planting season it has predicated and seen an acute shortage of seed tubers. The cost of seed tuber alone accounts about 36- 38% percent of total cost of cultivation of potato. Planting of cut tubers is increasing in Asia and other parts of the world day by day to reduce seed cost. Presently, cut tubers were planted through existing planters without considering a tuber sprout eye orientations. This causes tuber decay, germination loss and reduced tuber yield. Development of new and novel planters can overcome the above said problems and will increase the tuber yield. To achieve this objective, a novel potato planter was developed at ICARDirectorate of Weed Research, Jabalpur, which plants the cut tubers by orienting their sprout-eyes in right direction. The planter also increased the tuber yield by 14.5-20% over existing planter.Not Availabl

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Not AvailableCrop damage during the intra-row weed eradiation is one of the biggest challenges in intercultural agricultural operations. Several available mechanical systems provide effective weeding but result in excess crop damage. On the other hand, chemical based systems have been raising serious environmental and food concerns. This study presents development of a cost-effectivemechatronic prototype for intra-rowweeding operation. The primary focus was on incurring minimal crop damage. The system integrates time of flight and inductive sensing into fuzzy logic algorithm for electronic control of a four-bar linkage mechanism (FBLM). The crank of FBLM was connected to the vertical rotary weed control shaft with weeding blades. The crop sensing triggers the electronic control to laterally shift the control shaft away from crop, proportional to the forward speed and soil conditions. The developed algorithm incorporates varied conditions of soil, forward speed, and plant spacing to calculate dynamic lateral shift speed (SRPM). The prototype was evaluated to determine the relationships between the operating conditions and electronic control parameters. Moreover, the plant damage was assessed under varied conditions of plant spacing, forward speeds, soil cone index, operational depth and electronic control parameters. The derived SRPM was established as the ultimate governing factor for avoiding crop damage that varied significantlywith electronic response time and soil strength (P b 0.05). Plant damage increased significantly under higher forward speeds and lower plant spacing (P b 0.05). Preliminary field evaluation of the developed prototype showed Crop damage during the intra-row weed eradiation is one of the biggest challenges in intercultural agricultural operations. Several available mechanical systems provide effective weeding but result in excess crop damage. On the other hand, chemical based systems have been raising serious environmental and food concerns. This study presents development of a cost-effectivemechatronic prototype for intra-rowweeding operation. The primary focus was on incurring minimal crop damage. The system integrates time of flight and inductive sensing into fuzzy logic algorithm for electronic control of a four-bar linkage mechanism (FBLM). The crank of FBLM was connected to the vertical rotary weed control shaft with weeding blades. The crop sensing triggers the electronic control to laterally shift the control shaft away from crop, proportional to the forward speed and soil conditions. The developed algorithm incorporates varied conditions of soil, forward speed, and plant spacing to calculate dynamic lateral shift speed (SRPM). The prototype was evaluated to determine the relationships between the operating conditions and electronic control parameters. Moreover, the plant damage was assessed under varied conditions of plant spacing, forward speeds, soil cone index, operational depth and electronic control parameters. The derived SRPM was established as the ultimate govern(65%) and crop damage (<25%).Not Availabl