135 research outputs found

    Editorial

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    Bridging the theory and practise gap in emergency services research: the case for a new journal

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    Purpose - The paper aims to provide the rationale underpinning this new journal in addressing the apparent gap and fragmented nature of the emergency services research, to introduce the papers in this inaugural issue and encourage readers and potential contributors to support the International Journal of Emergency Services (IJES). Design/methodology/approach - The paper introduces the new journal to outline the current "silos approach" which isolates the academic and practitioner community. It also outlines the editorial intentions for the journal linking to the theme and selected papers for the inaugural issue and future direction of travel. Findings- Emergency function resides with a host of agencies including the three "blue light" services (police fire and ambulance). IJES is an opportunity to publish up-to-date and original research contributions for the benefit of scholars, policy makers and practitioners in these areas, including the interface happening at national, regional and global level. Originality/value - Articulating the IJES vision in addressing the apparent gaps in the emergency services research including the theory-practise divide, the paper provides useful knowledge to potential readers who are interested but may have insufficient knowledge in the emergency services research. It also highlights some potential areas for research

    An Efficient Technique for mining Association rules using Enhanced Apriori Algorithm

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    There are Various mining algorithms of association rules. One of the most popular algorithm is Apriori that extracts frequent itemset from large database and getting the association rule for discovering the knowledge. this paper pitfalls the limitation of the original Apriori algorithm for wasting time for scanning the whole database searching on to the frequent itemsets, and presents an technique on Apriori by reducing that wasted time depending on scanning only some transactions whose support value is bigger than 25% of minimum Support is taken as frequent item set and is added to the frequent item sets and then rules are formed. An enhanced Apriori algorithm may find the tendency of a customer on the basis of frequently purchased item-sets The proposed algorithm is useful as a frequent item sets predictor with lower number of scans. DOI: 10.17762/ijritcc2321-8169.15063

    An Efficient Technique for mining Association rules using Enhanced Apriori Algorithm A Literature survey

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    At present Data mining has a lot of e-Commerce applications. The key problem in this is how to find useful hidden patterns for better business applications in the retail sector. For the solution of those problems, The Apriori algorithm is the most popular data mining approach for finding frequent item sets from a transaction dataset and derives association rules. Association Rules are the discovered knowledge from the data base. Finding frequent item set (item sets with frequency larger than or equal to a user specified minimum support) is not trivial because of its combinatorial explosion. Once item sets are obtained, it is straightforward approach to generate association rules with confidence value larger than or equal to a user specified minimum confidence value. Apriori uses bottom up strategy. It is the most famous and classical algorithm for mining frequent patterns. Apriori algorithm works on categorical attributes. Apriori uses breadth first searc

    Recurrent breast abscess due to Salmonella paratyphi A:an unusual case

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    Bacterial mastitis is the most common variety of mastitis and is often caused by Staphylococcus aureus. Chronic mastitis is usually seen as a complication of tuberculosis & syphilis. A 31-year-old female presented with lump in the right breast for the past two years with pain for the past 15 days and discharge for the past two to three days. On examination, the lump was measured and was approximately 4x4 cm in size with a discharging sinus just lateral to the areola. No regional lymphadenopathy was noticed. A clinical diagnosis of “Lump in the right breast” with sinus probably due to tuberculosis was made. The lump had been excised surgically. Salmonella paratyphi A was isolated after repeated culture. She had responded to ceftriaxone, hence, unnecessary use of anti-tubercular drugs could be avoided. In chronic mastitis and breast abscess Salmonella species should be considered as one of the etiological agents.

    A Review and an Approach of Flying Electric Generators as Alternate Source of Energy

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    This paper presents a review of flying electric generators which are used to harness kinetic energy in powerful, persistent high altitude winds. It has been found that FEGs could give individual output of up to 40MW. It is a lighter wind turbine that rotates about a horizontal axis in response to wind, generating electrical energy. This electrical energy is transferred down for immediate use, or to a set of batteries for later use, or to the power grid. This paper presents the critical analysis of existing literature which is relevant to flying electric generator Though, the literature consists of a lot many research contributions, but, here, we have analyzed some important research and review papers. The existing approaches are categorized based on the basic concepts involved in the mechanisms. The emphasis is on the concepts used by the concerned authors, the database used for experimentations and the performance evaluation parameters. Their claims are also highlighted. Finally, the findings are summarized related to the studied and analyzed research papers. Paper concludes with the motivation behind identified problem
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