An Overview of Triangulation Algorithms for Simple Polygons

Abstrac

Towards a Low-Cost Mobile Subcutaneous Vein Detection Solution Using Near-Infrared Spectroscopy

Excessive venipunctures are both time- and resource-consuming events, which cause anxiety, pain, and distress in patients, or can lead to severe harmful injuries. We propose a low-cost mobile health solution for subcutaneous vein detection using near-infrared spectroscopy, along with an assessment of the current state of the art in this field. The first objective of this study was to get a deeper overview of the research topic, through the initial team discussions and a detailed literature review (using both academic and grey literature). The second objective, that is, identifying the commercial systems employing near-infrared spectroscopy, was conducted using the PubMed database. The goal of the third objective was to identify and evaluate (using the IEEE Xplore database) the research efforts in the field of low-cost near-infrared imaging in general, as a basis for the conceptual model of the upcoming prototype. Although the reviewed commercial devices have demonstrated usefulness and value for peripheral veins visualization, other evaluated clinical outcomes are less conclusive. Previous studies regarding low-cost near-infrared systems demonstrated the general feasibility of developing cost-effective vein detection systems; however, their limitations are restricting their applicability to clinical practice. Finally, based on the current findings, we outline the future research direction

Interactive Constraint-Based Graphics System with Partially Constrained FormFeatures

The paper considers a 2D constraint-based geometric modelling system which distinguishes between an auxiliary and a visual geometry. The former consists of points, lines, and circles, and the later includes line segments, arcs, circles and cubic Bézier curve segments. Geometric constraints are applied only upon the auxiliary geometry. Some constraints and the majority of auxiliary geometry are extracted by the system automatically what liberates the user from giving self-understandable facts. This separation of the geometry enables developing a simple but efficient approach to constrain the cubic Bézier curves. The system can work with underconstrained parts of geometric objects what makes it interactive entirely. The paper includes a practical example of the design in the constraint-based environment and gives an insight into a user interface used.

GPU-based Kernelized Locality-Sensitive Hashing for Satellite Image Retrieval

As the data acquisition capabilities of Earth observation (EO) satellites have been improved substantially in the past few years, large amount of high-resolution satellite images are downlinked continuously to ground stations. Such amount of data increases rapidly beyond the users' capability to access the images' content in reasonable time. Hence, automatic and fast interpretation of a large data volume is a computationally intensive task. Recently, approximate nearest neigbhour search has been used for content-based image retrieval in sublinear time. Kernelized locality sensitive hashing (KLSH) is a well-known approximate method, which has recently shown promising results for fast remote sensing image retrieval. This paper proposes a novel parallelization of KLSH using Graphical Processing Units (GPU), in order to perform fast parallel image retrieval. The proposed method was tested on high-dimensional feature vectors from two satellite-based image datasets, where an average speedup of 20 times was achieved

Mobile Computing is not Always Advantageous: Lessons Learned from a Real-World Case Study in a Hospital

The use of mobile computing is expanding dramatically in recent years and trends indicate that “the future is mobile”. Nowadays, mobile computing plays an increasingly important role in the biomedical domain, and particularly in hospitals. The benefits of using mobile devices in hospitals are no longer disputed and many applications for medical care are already available. Many studies have proven that mobile technologies can bring various benefits for enhancing information management in the hospital. But is mobility a solution for every problem? In this paper, we will demonstrate that mobility is not always an advantage. On the basis of a field study at the pediatric surgery of a large University Hospital, we have learned within a two-year long mobile computing project, that mobile devices have indeed many disadvantages, particularly in stressful and hectic situations and we conclude that mobile computing is not always advantageous

Mobile Computing is not Always Advantageous: Lessons Learned from a Real-World Case Study in a Hospital

The use of mobile computing is expanding dramatically in recent years and trends indicate that “the future is mobile”. Nowadays, mobile computing plays an increasingly important role in the biomedical domain, and particularly in hospitals. The benefits of using mobile devices in hospitals are no longer disputed and many applications for medical care are already available. Many studies have proven that mobile technologies can bring various benefits for enhancing information management in the hospital. But is mobility a solution for every problem? In this paper, we will demonstrate that mobility is not always an advantage. On the basis of a field study at the pediatric surgery of a large University Hospital, we have learned within a two-year long mobile computing project, that mobile devices have indeed many disadvantages, particularly in stressful and hectic situations and we conclude that mobile computing is not always advantageous