3-D model building for computer vision

technical reportThis paper presents a Computer-Aided Geometric Design (CAGD) based approach for building 3-D models which can be used for the recognition of 3-D objects for industrial machine vision applications. The objects are designed using the Alpha_1 CAGD system developed at the University of Utah. A new method is given which uses the CAGD design and allows the points on the surface of the object to be sampled at the desired resolution, thus allowing the construction of multiresolution 3-D models. The resulting data structure of points includes coordinates of the points in 3-D space, surface normals and information about the neighboring points

Recognition of 2-D occluded objects and their manipulation by PUMA 560 robot

Journal ArticleA new method based on a cluster-structure paradigm is presented for the recognition of 2-D partially occluded objects. This method uses the line segments which comprise the boundary of an object in the recognition process. The length of each of these segments as well as the angle between successive segments comprise the only information needed by the program to find an object's position. The technique is applied in several steps which include segment clustering, finding all sequences in one pass over the data, and final clustering of sequences so as to obtain the desired rotational and translational information. The amount of computational effort decreases as the recognition algorithm progresses. As compared to earlier methods, which identify an object based on only one sequence of matched segments, the new technique allows the identification of all parts of the model which match with the apparent image. These parts need not be adjacent to each other. Also the method is able to tolerate a moderate change in scale and a significant amount of shape distortion arising as a result of segmentation or the polygonal approximation of the boundary of the object. The method has been evaluated with respect to a large number of examples where several objects partially occlude one another. A summary of the results is presented

Pharmacoeconomic analysis of drugs used for peptic ulcer in India

Background: Acid peptic disorders are common medical problems in daily clinical practice leading to a significant economic burden on healthcare expenses. Due to lack of information on comparative drug prices and quality, it becomes difficult for physicians to prescribe the most economical treatment. So the present study was planned to analyse the price variations of various anti-ulcer drugs available in India.Methods: The cost of a particular anti-ulcer drug being manufactured by different companies, in the same dose and dosage forms, was obtained from latest issue of ‘‘current index of medical specialties’’ January to April, 2016. The difference between the maximum and minimum prices of same drug was analysed and percentage variation in the prices was calculated.Results: Overall, the prices of a total of 12 anti-ulcer drugs belonging to four different categories available in 38 different formulations were analysed.  Among the proton pump inhibitors, pantoprazole (40 mg; EC tablet) showed the maximum price variation of 500.75%. With regard to H2 blockers, ranitidine (50 mg; injection) showed the maximum price variation of 989.92%. The maximum price variation among various formulations of ulcer protective was seen with sucralfate (1000 mg; tablet) of 166.00% while misoprostol (200µg; tablet) was the only drug present in prostaglandin analogues and it showed a price variability of 14.33%.Conclusions: The average percentage variations of different brands of the same anti-ulcer drugs in same dose and dosage form manufactured in India were very wide. The government and drug manufacturing companies must direct their efforts in reducing the cost of anti-ulcer drugs and thereby minimizing the economic burden on the patients

FATTY ACID COMPOSITION OF THE FRUITS OF SYZYGIUM ZEYLANICUM (L.) DC. VAR. ZEYLANICUM

Objective: Wild indigenous fruits are believed to be extremely nutritious, contributing a great deal to the general health of the tribal and rural population. To validate this claim, systematic studies are required to estimate their nutritional composition. The objective of the study was to analyze the fatty acid composition of Syzygium zeylanicum (L.) DC. var. zeylanicum.Methods: The fatty acid composition of S. zeylanicum var. zeylanicum fruits were analysed by GC-MS/MS.Results: The major fatty acids were cis-oleic acid (43.47±0.62 %) and linoleic acid (31.14±0.35%). Total monounsaturated fatty acids in the sample was 44.21%. Omega-6, omega-7 and omega-9 fatty acids were detected. The polyunsaturated fatty acids in thefruits were linoleic acid (31.14±0.35 %) and arachidonic acid (0.15±0.22 %), whereas 24.51 % of the total fatty acids were saturated. The ratio of unsaturated to saturated fatty acids was approximately 3:1. The order of abundance of fatty acids, in some of the healthiest oils, viz. olive, canola, peanut oils is, Oleic acid>Linoleic acid>Palmitic acid>Stearic acid and the same order was observed in the present study.Conclusion: Fruits of S. zeylanicum var. zeylanicum too shows a healthy balance between unsaturated and saturated fats.Â

Survey on IoT based Cyber Security Issues and Autonomous Solutions for Implantable Medical Devices

In today’s world the technology has got boomed up to the peak. So as a measure of this technology peak we could see that the enhancement of this has raised very large. This technology booming has also impacted health care sector. In our paper we are going to discuss much on implantable medical devices and its uses which plays a major role in patient’s life. This IMD’s are going to be the life changing aspect of each and every patient. These devices are highly controlled IoT devices (i.e.) those devices are connected through internet which will help doctors to track the details of the patients remotely. On the other hand since all these devices are connected to internet, these are easily hacked by the hackers. The factors of how those devices are much vulnerable and what are all the threats that will make these devices to malfunction and lead a problem to the patients is discussed. And also this will lead the health sector to fall in their reputation. IMD’s are of many types which are in existing in the Medical industry. But we are going to consider some IMD’s as example and we have planned to make a detailed study on the problems on those devices. All these devices are vulnerable since it is connected to internet. So our aim is to completely or partially reduce the risks on those devices via communication network. We have also showcased the possible threats and vulnerabilities chances on those devices. The main scenarios of device control issues and possible solutions have been discussed in this article

Semantically linking and browsing PubMed abstracts with gene ontology

<p>Abstract</p> <p>Background</p> <p>The technological advances in the past decade have lead to massive progress in the field of biotechnology. The documentation of the progress made exists in the form of research articles. The PubMed is the current most used repository for bio-literature. PubMed consists of about 17 million abstracts as of 2007 that require methods to efficiently retrieve and browse large volume of relevant information. The State-of-the-art technologies such as GOPubmed use simple keyword-based techniques for retrieving abstracts from the PubMed and linking them to the Gene Ontology (GO). This paper changes the paradigm by introducing semantics enabled technique to link the PubMed to the Gene Ontology, called, SEGOPubmed for ontology-based browsing. Latent Semantic Analysis (LSA) framework is used to semantically interface PubMed abstracts to the Gene Ontology.</p> <p>Results</p> <p>The Empirical analysis is performed to compare the performance of the SEGOPubmed with the GOPubmed. The analysis is initially performed using a few well-referenced query words. Further, statistical analysis is performed using GO curated dataset as ground truth. The analysis suggests that the SEGOPubmed performs better than the classic GOPubmed as it incorporates semantics.</p> <p>Conclusions</p> <p>The LSA technique is applied on the PubMed abstracts obtained based on the user query and the semantic similarity between the query and the abstracts. The analyses using well-referenced keywords show that the proposed semantic-sensitive technique outperformed the string comparison based techniques in associating the relevant abstracts to the GO terms. The SEGOPubmed also extracted the abstracts in which the keywords do not appear in isolation (i.e. they appear in combination with other terms) that could not be retrieved by simple term matching techniques.</p

Loop diuretic-induced hyponatremia: a case report

Hyponatremia is the most common encountered electrolyte abnormality where the serum sodium concentration is <136 mEq/L. The most common causes are either the concurrent illnesses or the medications. Diuretics top the list of drugs inducing hyponatremia and this occurs more frequent within 2 weeks of initiating therapy. Though thiazide diuretics are frequently the culprits of inducing hyponatremia, the role by/risk with loop diuretics cannot be ignored. Prompt diagnosis and management of hyponatremia needs a sound knowledge with which permanent neurologic sequelae and morbidity could be prevented. Here, we report a case of hyponatremia induced by loop diuretic and spironolactone combination, where the presenting complaints of the patient were only intractable nausea and altered taste. The patient was successfully managed with hypertonic saline and the vasopressin receptor antagonist, tolvaptan, which belongs to a new class of drugs called aquaretics