Schema Matching for Large-Scale Data Based on Ontology Clustering Method

Holistic schema matching is the process of identifying semantic correspondences among multiple schemas at once. The key challenge behind holistic schema matching lies in selecting an appropriate method that has the ability to maintain effectiveness and efficiency. Effectiveness refers to the quality of matching while efficiency refers to the time and memory consumed within the matching process. Several approaches have been proposed for holistic schema matching. These approaches were mainly dependent on clustering techniques. In fact, clustering aims to group the similar fields within the schemas in multiple groups or clusters. However, fields on schemas contain much complicated semantic relations due to schema level. Ontology which is a hierarchy of taxonomies, has the ability to identify semantic correspondences with various levels. Hence, this study aims to propose an ontology-based clustering approach for holistic schema matching. Two datasets have been used from ICQ query interfaces consisting of 40 interfaces, which refer to Airfare and Job. The ontology used in this study has been built using the XBenchMatch which is a benchmark lexicon that contains rich semantic correspondences for the field of schema matching. In order to accommodate the schema matching using the ontology, a rule-based clustering approach is used with multiple distance measures including Dice, Cosine and Jaccard. The evaluation has been conducted using the common information retrieval metrics; precision, recall and f-measure. In order to assess the performance of the proposed ontology-based clustering, a comparison among two experiments has been performed. The first experiment aims to conduct the ontology-based clustering approach (i.e. using ontology and rule-based clustering), while the second experiment aims to conduct the traditional clustering approaches without the use of ontology. Results show that the proposed ontology-based clustering approach has outperformed the traditional clustering approaches without ontology by achieving an f-measure of 94% for Airfare and 92% for Job datasets. This emphasizes the strength of ontology in terms of identifying correspondences with semantic level variation

Secured node detection technique based on artificial neural network for wireless sensor network

The wireless sensor network is becoming the most popular network in the last recent years as it can measure the environmental conditions and send them to process purposes. Many vital challenges face the deployment of WSNs such as energy consumption and security issues. Various attacks could be subjects against WSNs and cause damage either in the stability of communication or in the destruction of the sensitive data. Thus, the demands of intrusion detection-based energy-efficient techniques rise dramatically as the network deployment becomes vast and complicated. Qualnet simulation is used to measure the performance of the networks. This paper aims to optimize the energy-based intrusion detection technique using the artificial neural network by using MATLAB Simulink. The results show how the optimized method based on the biological nervous systems improves intrusion detection in WSN. In addition to that, the unsecured nodes are affected the network performance negatively and trouble its behavior. The regress analysis for both methods detects the variations when all nodes are secured and when some are unsecured. Thus, Node detection based on packet delivery ratio and energy consumption could efficiently be implemented in an artificial neural network

Investment Jute Fiber as Environmental Waste to Reinforcement Polyester Resin, Epoxy Resin and its Mixtures Used in home applications

In this paper , hand lay - up method was employed to prepare three models of polymeric materials and their compositions before and after reinforcement with different Volume fractions ( 0.5, 1, 1.5, 2, 2.5, 3 ) %. First group ( G1 ) consists of unsaturated polyester resin reinforced with Jute Fiber which that cut to length ( 5mm ) with Volume fraction that above - mentioned, and the second group ( G2 ) consists of Epoxy resin reinforced with the same fiber, as for the third group ( G3 ) ; consists of polymeric Blend ( 75% Epoxy + 25% Unsaturated polyester resin ) reinforced with the same fiber. Experimental results includes, Tests of Impact Strength and Thermal conductivity. For a different volume fractions of a samples ( all samples ) , the results showed that Impact strength increases with increasing volume fraction while thermal conductivity decreases by increase it

Management of Inguinal Hernia in Pediatric Age Group

Introduction: Incidence of indirect inguinal hernias in premature infants is reported to be as high as 30% with male predominance. Typically, inguinal hernia repairs are done under general anesthesia which has a high risk of post-operative complications, especially in the premature infant. The purpose of this study was to compare outcomes between early (neonatal) and delayed (older) inguinal hernia repair. Method: This is a prospective study in the department of pediatric surgery in alkhansaa Teaching Hospital Mosul / Iraq during a period from Jul 2018 to Dec 2019. All children with inguinal hernia were selected for the study and divided in two groups, those below one month and those above. Surgery is performed under general anesthesia with extracanalicular approach. Post-operative complications were observed and finally decided to discharge once patient is fit for discharge on the same day. Results: During the 18 months' period, we underwent 93 inguinal hernia repair those babies were divided into two groups, neonatal group (23 neonates) and older group (70 babies).  The gender distribution ratio is 7.8 male :1 female. The side distribution among those babies in the neonatal group were 14,6 and 3 as right, left and bilateral respectively. In the neonatal group there were 9 babies presented with incarceration two (8.6%) of them shows testicular infarction and necrosis which necessitate excision at exploration while the other one atrophied in the period of follow up. We do not record any anesthetic complications or mortality in neonatal group in our period of study. Conclusion: Extracanalicular approach under general anesthesia is easy, safe, can be used for pediatric patients in neonatal age group with indirect inguinal hernia; with minimal complications, low recurrence rate.   &nbsp

Evaluation of appendicitis risk prediction models in adults with suspected appendicitis

Background Appendicitis is the most common general surgical emergency worldwide, but its diagnosis remains challenging. The aim of this study was to determine whether existing risk prediction models can reliably identify patients presenting to hospital in the UK with acute right iliac fossa (RIF) pain who are at low risk of appendicitis. Methods A systematic search was completed to identify all existing appendicitis risk prediction models. Models were validated using UK data from an international prospective cohort study that captured consecutive patients aged 16–45 years presenting to hospital with acute RIF in March to June 2017. The main outcome was best achievable model specificity (proportion of patients who did not have appendicitis correctly classified as low risk) whilst maintaining a failure rate below 5 per cent (proportion of patients identified as low risk who actually had appendicitis). Results Some 5345 patients across 154 UK hospitals were identified, of which two‐thirds (3613 of 5345, 67·6 per cent) were women. Women were more than twice as likely to undergo surgery with removal of a histologically normal appendix (272 of 964, 28·2 per cent) than men (120 of 993, 12·1 per cent) (relative risk 2·33, 95 per cent c.i. 1·92 to 2·84; P < 0·001). Of 15 validated risk prediction models, the Adult Appendicitis Score performed best (cut‐off score 8 or less, specificity 63·1 per cent, failure rate 3·7 per cent). The Appendicitis Inflammatory Response Score performed best for men (cut‐off score 2 or less, specificity 24·7 per cent, failure rate 2·4 per cent). Conclusion Women in the UK had a disproportionate risk of admission without surgical intervention and had high rates of normal appendicectomy. Risk prediction models to support shared decision‐making by identifying adults in the UK at low risk of appendicitis were identified