42 research outputs found
Customer relationship management systems for the SME’s – is this a perfect marriage made in the cloud?
No full textThe purpose of this research is to identify the key evaluation criteria to be considered by the Small and Medium Enterprises before the selection of CRM deployment model and secondly, to build a practical guide for clear understanding which CRM deployment model will suits better for Small businesses in future considering those critical criteria. A review of the literature concerning CRM in-house / cloud CRM study found the area to be a topic of major concern for decision makers in small organizations because of the budget and risk constraints and Cloud CRM is comparatively a new innovation under study. Moreover there is no existing research which identify the key criteria for CRM model selection and describe which CRM model is better on those criteria. The research also focuses on identifying if subscription pricing model is better than ownership model for the small and medium organizations. The research also discusses the different concepts such as Customer Relationship Management, CRM in the cloud and cloud computing, especially in relation to SMEs, in order to have a great insight that gives the opportunity to successfully research this topic.
The deductive research uses quantitative approaches for data collection and analysis. The evaluation criteria for CRM systems at general level were proposed via a researcher through intensive literature review. In primary research, the general criteria were refined via collecting data from CRM in house / Cloud CRM experts and users in SMEs by structured questionnaires by that researcher analyze the key criteria for selecting CRM deployment model. This research provides valuable insight for managers in SMEs when selecting CRM delivery model for their companies. Furthermore, the academicians who are interested in cloud computing or CRM could adapt it further to different cases. Author keywords: Customer relationship management, cloud computing, SME’s, cloud CRM, in–house CR
A bar and ball attachment prosthesis over osseointegrated implants post mandibular resection
No full textRehabilitation of mandibular resection poses functional, esthetic, and psychological challenges. The deviation and rotation of the mandible toward the resected side leaves the patient with almost no option of chewing. This is aggravated if the patient is edentulous. The case report discussed in this article was an edentulous patient taken up with the primary goal to limit deviation toward resected side and provide a stable and retentive prosthesis to the patient. Two implants were placed anteriorly, splinted with bar and clip supported superstructure. The splinted implants with bar and clip superstructure provided the mandibular prosthesis with retention and some support. A posterior implant was also placed in the region of mandibular first molar on the left side for added support. This provided with a tripod configuration and limited the prosthetic movement of the mandibular prosthesis. This case report highlights an alternate way toward the rehabilitation of edentulous mandible post mandibular resection when surgical reconstruction may not be feasible
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Measuring and predicting detection performance on security images as a function of image quality
Get PDFDeveloping algorithms that predict how image quality affects task performance is a topic of great interest for many applications involving security, medical imaging, and others. While task performance prediction as a function of image quality has been studied by the medical imaging community, little work in this direction has been reported in the security imaging field. In this work, we take steps towards broadly solving this problem.
In the first part of the dissertation, we analyze the effects of X-ray image quality degradations on the detection performance of trained bomb technicians. For this, we conducted a visual task performance study on a database of distorted security X-ray images whose quality is degraded using realistic models of noise. Using this new NIST-LIVE X-Ray IED Image Quality Database, we created a set of objective human task prediction algorithms using models of natural X-ray image statistics. Our basic tools are traditional Image Quality Indicators’ (IQIs) and perceptually relevant Natural Scene Statistics (NSS) based image models that have been extensively used in visible light (VL) image quality prediction algorithms. We show that these measures are able to quantify the perceptual severity of degradations, and can predict the visual task performance of experts trained to detect and identify components of improvised explosive devices (IEDs) in images. Combining these efficient and perceptually relevant models with standardized ‘image quality indicators’ (IQIs) yields even better task performance prediction. This is important, since simple, non-perceptual IQIs currently define IEEE/ANSI standards for numerical measurement of portable X-ray imager quality, and can potentially be augmented with NSS quality models to further improve their predictive capabilities.
In the second part of the dissertation, we analyze the effects of distortions in millimeter-wave (MMW) images on the detection performance of automatic target recognition (ATR) systems. Deep-learning based recognition systems have become ubiquitous owing to their remarkable performance in many machine vision tasks. We study the susceptibility of such systems to degradations of input image quality. These ATR systems are responsible for detecting concealed contraband in images of passengers screened at airports. The performance of an ATR system is demonstrated to be worse on test images that are significantly different in quality from the training set. We use the NSS of MMW images to design a distortion-agnostic, no-reference image quality model referred to as MMW-NIQE, which correlates well with the detection performance of the studied ATR systems, and outperforms other image quality models on this task. Using this information, we demonstrate the efficacy of MMW-NIQE as a real-time front-end input image validation tool for ATR systems. The ability to validate input images based on MMW-NIQE quality scores help guide ATR systems to achieve predictable and robust performance.
We also show that when the training set consists of images of mixed-quality, it is possible to yield better model generalization performance than just fine-tuning on degraded images. We propose a quality-aware ATR system that incorporates extracted quality measurements from the test image, that in real-time tunes the algorithm to perform optimally. The proposed model achieves this by taking a quality-weighted ensemble of multiple model predictions, each of which is trained on a separate image quality cluster, thereby improving the resilience of the overall system to diverse types of image degradation.Electrical and Computer Engineerin
An improved face recognition scheme using transform domain features
No full textThis paper proposes an improved face recognition scheme using spectral domain features and a multi-layer classification mechanism. The efficiency of the new scheme, in correctly classifying images has been tested through an OpenCV implementation using a benchmark face database. The improved classification accuracy of the proposed method is evident from the experimental results. © 2014 IEEE
Soft Tissue Engineering to Achieve Natural Pontic Site Esthetics for a 3 Unit Anterior Bridge on 2 Implants
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An Overview of the Effect of Topographic Surface Modifications of Endosteal Implants An Overview of the Effect of Topographic Surface Modifications of Endosteal Implants
No full textBUDGETTICKS A MUST FOR THE GOVERNMENT
Get PDFSYNOPSIS The D.Litt Thesis herewith submitted, namely 'Budgetticks - A must for the Government'. This nature of research comes under the purview of the subject Public Administrations, which happens to be mine own discovery. Presently, there are huge problems in chalking out the yearly budget of the different countries in the present day world. Moreover, the countries which are in the arena of third world and underneath nations, this problem of framing of yearly budget has become a misnomer. The different Governments pertaining to such third world and underneath arena find the same, quite difficult in order to present their budget in thier respective Parliaments, or, before the Assemblies. In fact, there are no relevancies observed to-day, in between the different budgetary provisions (i.e. monetary provisions) and the resultant effects. Here, the Governments are meeting with their drastic failures in providing the people, which are very akin to maintain their lives and livelihoods towards, achieving a conducive sustenance. Here, Budget and its effects make no systematic impact in providing the people, their day to day necessities. Presently, most of the 3rd world and underneath nations are adopting the type of budget which are basically borrowed from the Britishers. During the colonial rule of the Britishers, they have imposed their ideas, their authority, responsibility, accountability, in the shape of forming the Governments, up to their own tastes. Unfortunately such Governments are not finding an outlet to be away from such unsuitable procedural ways as set up towards framing of the budget as made by the Britishers. Of course, partly the British system may have, some help to the capitalistic nations like U.S.A., U.K. and other European countries, but for the people of 3rd world and the underneath nations, this system only provides a distorted, hazy as well as quite an unsuitable order, in consideration to their geographical, social, political and anthropological behavioural orders.
