27 research outputs found

    Survey on Faulty Node Detection and Recovery Algorithm for WSN

    Get PDF
    In Faulty Node Detection and Recovery Algorithm for WNS critical problems like fault tolerance created. Earlier fault tolerance mechanism consume significant extra energy to detect and recover from the failure or having additional hardware and software resources. .Lifetime of sensor node is enhanced because of using diffusion algorithm combined with the genetic algorithm. When some node get faulty in network then this algorithm is useful to avoid performance related data transfer. Wireless sensor networks are having tendency to fail of sensor, due to the energy depletion, failure of hardware’s, conditions of network environment. We sure that that type of algorithm used then result is replacements of sensor nodes and more reused routing paths. Time for data transfer is depend on active nodes that’s why we detect a routing path with faulty node. Power consumption is affect the hierarchy of active nodes that’s why data is not transferred surely. In this proposed algorithm reduces the rate of data loss by approximately 98.8%, and reduces the rate of energy consumption by approximately 31.1%. DOI: 10.17762/ijritcc2321-8169.150310

    Role of comprehensive diabetes care in known diabetes patients from western Mumbai region: an observational study

    Get PDF
    Background: The occurrence of Diabetes Mellitus (DM) has been creating a havoc since past few decades on a global platform. As per available literature, prevalence of DM in Mumbai is around 10%. Comprehensive Diabetes Care (CDC) is a form of Ayurvedic therapy which combines panchkarma and diet management. The present study was planned to evaluate the effectiveness of CDC in patients of DM by analysing changes in body mass index (BMI), body weight, OGTT, HbA1c, etc.Methods: The present study was of retrospective design, conducted at Madhavbaug clinics in western Mumbai. The duration of study was of one year, conducted from October 2018 to September 2019. It included patients diagnosed with type 2 DM i.e. HbA1c>6.5%, who were given CDC therapy.Results: In the present study, out of 183 type 2 diabetic patients, 99 were males (52%), while 84 were females (48%), thus male: female ratio was 1.17:1. On analysing the results of HbA1c in patients who had completed 12 weeks of CDC therapy, it was found that controlled DM status was seen in 109 patients (59%), while uncontrolled DM status was noted in 33 patients (19%) as compared to 102 patients (58%) at baseline.Conclusions: From the findings of the present study, it is clear that CDC is effective in the form of increasing number of euglycemic patients at the end of study period, as well as reduction in all glycaemic and anthropometric parameters, and reducing dependency on conventional medicines

    Robust estimation of bacterial cell count from optical density

    Get PDF
    Optical density (OD) is widely used to estimate the density of cells in liquid culture, but cannot be compared between instruments without a standardized calibration protocol and is challenging to relate to actual cell count. We address this with an interlaboratory study comparing three simple, low-cost, and highly accessible OD calibration protocols across 244 laboratories, applied to eight strains of constitutive GFP-expressing E. coli. Based on our results, we recommend calibrating OD to estimated cell count using serial dilution of silica microspheres, which produces highly precise calibration (95.5% of residuals <1.2-fold), is easily assessed for quality control, also assesses instrument effective linear range, and can be combined with fluorescence calibration to obtain units of Molecules of Equivalent Fluorescein (MEFL) per cell, allowing direct comparison and data fusion with flow cytometry measurements: in our study, fluorescence per cell measurements showed only a 1.07-fold mean difference between plate reader and flow cytometry data

    Separation of Fe(III) from biological and pharmaceutical samples and its subsequent determination

    No full text
    194-196<span style="font-size:11.0pt;line-height:115%; font-family:" calibri","sans-serif";mso-fareast-font-family:"dejavu="" sans";="" mso-bidi-font-family:"times="" new="" roman";mso-ansi-language:en-us;mso-fareast-language:="" en-us;mso-bidi-language:ar-sa"="">A sensitive and rapid method has been proposed for the extraction and determination of milligram and microgram amounts of Fe(III) using tris(2-ethyl hexyl) phosphate (TEHP) in toluene as an extraction. The extraction period is only 5s. The method is applicable to the analysis of biological and pharmaceutical samples.</span

    Integration between Customer Relationship Management and Business Intelligence

    No full text
    The main purpose of any Customer Relationship Management(CRM) system of any customer-focused organization is to build new and retain old relationships with its customers.Such CRM systems provide customer data so that its users or top management can make correct decisions in order to improve organization’s performance. Nowadays, advanced analytics in the form of Business Intelligence (BI) can be used to perform extra analysis on such customer data. Doing so, users or decision makers can have the right customer information at right time at right location and the organization’s performance can be improved. This research studies the integration between CRM and BI of a prominent customer-oriented organization named Skånetrafiken. In this research, a functional framework of CRM and BI integration is derived considering functional frameworks of individual CRM and BI. Also, this framework is primarily based on basic People, Process and Technology principle. This framework represents the importance of good quality data, benefits of BI and key enablers of any successful CRM and BI integrated system. The key enablers of such successful BI and CRM systems are such as customer-centric approach, enterprise-wide strategy, cross-functional integration and technology-driven business processes. This is a qualitative research where data is collected in the form of semi-structured interviews and analyzed further using coding techniques

    Extraction of La(III) and Nd(Ill) salicylates

    No full text
    349-350A solvent extraction method is proposed for the extraction and separation of lanthanum(III) and neodymium(III) from other metal ions using tris(2-ethylhexyl) phosphate as an extractant. The optimum conditions for the extraction have been reported

    Privacy Preserving Data Mining Using Association Rule With Condensation Approach

    No full text
    Abstract—With the rapid development data mining within various fields and security and privacy concerns come into view. In data mining while releasing micro-data or patterns from large databases individual or organizational private data may get compromise the information. The main aim behind privacy preserving data mining is to maximizing analysis outcome and minimizing disclosure of individuals or organizational private data. Association rule mining explores interesting relationship between data. This paper is based on concepts: condensation method and association rule. SMC (secure multiparty computation) securely transferring data over the network with hiding process which hide sensitive association rule which create threat to privacy. Now privacy preserving data mining has become increasingly popular because it provides sharing of private or sensitive data for analysis purposes. Most of people and organizations are afraid or hesitate to share their data or refusing to share their data or sometimes might provide wrong data. Due to rapid proliferation of private information on the internet, lot of research has been done in recent years for privacy preserving data mining. Users are unwilling to provide private or personal data unless and until privacy is assured. Sometimes automated transaction system holds or track information about individuals in day today’s life. For example credit card transactions

    AN EFFICIENT OPTIMIESED UNIVERSAL WHEELCHAIR

    No full text
    In the world, there are so many people they are suffering from paralysis and the disabilities. This paper provides manual control system and wireless system that can be used by the disabled people to control the directionof wheelchair by the motion of their hands.This system comprises of three applications to control the directions of wheelchair. This technology is designed to be safe to operate and easy to use. The RF module and Bluetooth operated Android application is used to operate wheelchair wirelessly. Here an Android app is created on the smartphone which utilize the phone’s sensors and Bluetooth technology to control the motor control system wirelessly.When this application is turned off, the wheelchair operates using the manual control system. In manual control system, we are using a keypad which consist of four keys. These keys are used to control the direction of wheelchai

    Cost effective facile synthesis of TiO2 nanograins for flexible DSSC application using rose bengal dye

    No full text
    Synthesis of titanium dioxide (TiO2) nanograins using economical successive ionic layer adsorption and reaction (SILAR) method has been carried out. TiO2 thin films are studied for their structural, compositional, optical and morphological properties. A layer by layer process leads to the formation of 2.4 μm thick nanocrystalline TiO2 film. The heat treated TiO2 thin films are hydrophilic in nature with contact angle of 67°. The interconnected nanograins are employed for dye sensitized solar cells (DSSC) using inexpensive Rose Bengal (RB) dye. RB dye sensitization resulted into shifting of absorption peak from UV to visible region. The photoresponce of the dye sensitized solar cell is evaluated in the polyiodide electrolyte (0.1 M KI + 0.01 M I2) at 40 mWcm−2 illumination intensity. The TiO2 nanograins accompanied with RB sensitizer showed the conversion efficiency (η) of 0.89%. These results depict the strong assurance of TiO2 nanograins for DSSC application

    Temperature influence on morphological progress of Ni(OH)2 thin films and its subsequent effect on electrochemical supercapacitive properties

    No full text
    The temperature dependent morphological evolution and its effect on the electrochemical supercapacitive properties of Ni(OH)2 thin films have been systematically investigated. A temperature dependent growth mechanism model is proposed for the changes in microstructure. Different nanostructures of Ni(OH)2 thin films such as nanoplates, stacked nanoplates, nanobelts and nanoribbons have been fabricated by varying the deposition temperature. An X-ray diffraction study discloses the orientations of different nanostructures and the formation of nanocrystalline β-Ni(OH)2. Further, these Ni(OH)2 nanostructures demonstrate excellent surface properties like uniform surface morphology, good surface area, pore volume and uniform pore size distribution. The electrochemical supercapacitive properties of Ni(OH) 2 nanostructures have been investigated by cyclic voltammetry, charge-discharge and electrochemical impedance spectroscopy techniques. The electrochemical studies of the Ni(OH)2 samples show an obvious influence of surface properties on the pseudocapacitance. The maximum specific capacitance of 357 F g-1 was evaluated for nanoplates at a scan rate of 5 mV s-1. Furthermore, all these Ni(OH)2 samples show good long-term cycling performances in KOH electrolyte. The Ragone plots ascertain good power and energy densities of all Ni(OH)2 nanostructured samples. Subsequently, electrochemical impedance measurements for the different nanostructures of Ni(OH)2 electrodes are assessed indicating that the Ni(OH)2 nanoplates structured electrodes are suitable for good capacity electrochemical supercapacitors
    corecore