Image recognition is widely used in different application areas such as shape recognition, gesture recognition and eye recognition. In this research, we introduced image recognition using efficient invariant moments and Principle Component Analysis (PCA) for gray and color images using different number of invariant moments. We used twelve moments for each image of gray images and Hu's seven moments for color images to decrease dimensionality of the problem to 6 PCA's for gray and 5 PCA's for color images and hence the recognition time. PCA is then employed to decrease dimensionality of the problem and hence the recognition time and this is our main objective. The PCA is derived from Karhunen-Loeve's transformation. Given an N-dimensional vector representation of each image, PCA tends to find a K-dimensional subspace whose basis vectors correspond to the maximum variance direction in the original image space. This new subspace is normally lower dimensional (K N). Three known datasets are used. The first set is the known Flower dataset. The second is the Africans dataset, and the third is the Shapes dataset. All these datasets were used by many researchers.
SUMMARYGrid computing is emerging as the foundation upon which virtual organizations can be built. Such organizations are becoming of increasing importance for tackling various projects, both in academic and in business fields. This paper is concerned with presenting an integrated view of the grid to readers interested in understanding it, or perhaps in developing it further or making use of it in the future. The target view is based on the STOPE (strategy/technology/organization/people/environment) framework that has previously been used to integrate the issues of various information technology problems over its well-defined domains. For strategy, the view considers the reasons associated with the need for the grid, including grid services and grid benefits. For technology, the technical components of the grid and their functions are taken into account. For organization, the organizations concerned with the development, technology production, service provisioning and use of the grid are considered. For people, those associated with the grid in the related organizations are taken into account. For the environment, rules, practices and support associated with the grid are discussed. Finally, the paper emphasizes questions that need to be answered in order to contribute to the future development of the grid.
Background
Sickle cell disease is the leading etiology for atraumatic humeral head avascular necrosis worldwide. Treatment of this condition is not standardized, with only few studies evaluating clinical outcomes after surgical interventions. The aim of this study was to review the available evidence on the results of surgical intervention for humeral head avascular necrosis in the sickle cell disease population.
Methods
A systematic electronic search was conducted using PubMed (MEDLINE), EMBASE, and Cochrane Library databases. Relevant studies that reported the outcomes of surgical intervention for humeral head avascular necrosis for patients with sickle cell disease were reviewed. Outcome parameters were pain, range of motion, specific shoulder outcome scores, and complications.
Results
Six studies, three retrospective cohorts (2 level III and 1 level IV) and three case series (level IV), were included in this review. A total of forty-three patients with sickle cell disease, comprising forty-nine shoulders, underwent different surgical procedures. Surgical procedures were core decompression, arthroscopic intervention, humeral head resurfacing, shoulder hemiarthroplasty, and total shoulder arthroplasty.
Conclusion
Surgical intervention for humeral head avascular necrosis in patients with sickle cell disease is selected based on the osteonecrosis stage. In the precollapse stage, core decompression is regarded as the first surgical option. However, in the light of current evidence, it has not been confirmed to prevent or delay natural progression of the disease. Shoulder arthroplasty is reserved for late stages, which despite the fairly good outcomes, data for long-term implant survival and complications are not well documented.
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