Overview of Android for User Applications

This paper presents the requirements to develop the applications on the Android Operating System. Mobiles are the hot cakes in now-a-days market. Features of mobile depend on software. As mobiles are the low-powered devices that uses battery to run and it is a rechargeable one, so the operating system for mobiles has played a crucial role. Necessity for developing applications that could run on mobiles increases at current days. In order to fulfill that features Google introduced Android. Dalvik Virtual Machine facilitates run time environment. Android components are necessary to develop the applications. Android operating system first developed by Google later Open Handset Alliance. Android Operating system provides flexible environment for writing applications in java language. This operating system is free, robust and user friendly

An Effectively Deploying of Relay Stations (Rs) In WIMAX Networks

The relay stations are widely used in major wireless technologies i.e. WiMAX (Worldwide Interoperability for Microwave Access) and LTE (Long term evolution) which provides cost efficient service to the operators and end subscribers. It is quite challenging to provide guaranteed Quality of Service (QoS) in WiMAX networks in cost efficient way. The primary aim is to reduce the total deployment cost in relay stations and use the existing spectral resources as effectively as possible to increase throughput for end users with high demanding applications i.e. voice and video. Keeping in mind the cost and the increasingly more demanding applications with growing large number of users, primary consideration of this paper is to increase throughput in a cost effective way. This paper shows the study of cell coverage and usage capacity by varying distances between a relay node and a base station in a WiMAX cell. For the Simulation purpose we have employed OPNET (Optimized Network Engineering Tool) MODELER 14.5. The performance of network is measured with respect to the QoS parameters like Throughput

Adaptive Techniques to Detect White Spaces Using Spectrum Sensing In Cognitive Radio

Spectrum sensing is one of the key technologies to realize dynamic spectrum access in cognitive radio systems. Cognitive radios have been proposed as a possible solution to improve spectrum utilization by enabling opportunistic spectrum sharing. The main requirement for allowing CR�s to use proper exploitation of white spaces in the radio spectrum requires fast, robust, and accurate methods for their detection. Spectrum sensing allows cognitive users to autonomously identify unused portions of the radio spectrum. In this work, energy detection technique is considered for spectrum sensing and uses the cost-function that depends upon a single parameter which gives the aggregate information about the present or absent of licensed users. The process of threshold selection for energy detection is addressed by the constant false alarm method and selection is carried out considering present conditions of noise levels. In this paper, simulation results shown that if we dynamically adjust the detection threshold based on noise level present during the detection process. The detection of white spaces will be higher at lower sampling time as compared with probability of detection and false alarm rate

IMPACT OF MGNREGA ON SOCIOECONOMIC CONDITIONS OF BENEFICIARIES OF SRIKAKULAM DISTRICT OF ANDHRAPRADESH

The study was conducted purposively Selected Pathapatnam block in Srikakulam district ofAndhra Pradesh. Six villages selected purposively and from each selected village 20 respondents wereselected randomly thus 120 respondents constituting the sample size for present study. Ex- post facto researchdesign was followed and data was collected by using personal interview method. The collected data weretabulated, analyzed and interpreted with the appropriate statistical tools. Majority of beneficiaries (46.66 percent) was under the age group of 40 and above years. (48.33)per-cent non beneficiaries was exposed tomagazines which was translated into local dialect. It was found from the present study that had an annualincome of above 35000.It was noted that socio-economic status of beneficiaries was better than nonbeneficiaries. majority of the beneficiaries had most favorable attitude towards MGNREGA as compared tonon-beneficiaries.it was also concluded that majority of the beneficiaries had a much better empowermentlevel as compared to non-beneficiaries. Majority of the beneficiaries had agreed that purchasing capacity hadbeen improved as compared to non-beneficiaries which shows MGNREGA has played an important role inupliftment of economic status of the MGNREGA labours. Majority of the respondents faced the problem ofdelayed payment and bias attitude of panchayat members. On the whole it can be concluded that MGNREGAplays an effective developmental role in the lives of rural villagers

ANALYSING COMPONENTS OF ORGANISATION COMMITMENT TO AUGMENT STRATEGIC COMPETITIVE ADVANTAGE –A COMPARATIVE STUDY IN THE BANKING SECTOR

The success of an organisation is measured based on productivity of both equipments and human resources. The organisation takes concerted efforts in identifying the right candidate, and onboard them at the right time to ensure organisational effectiveness. In service organisations like banks,workforce stability and commitment are of prime importance. To have a better business and work continuity such organisation strives to have the employees for a longer haul.The objective of this study is to understand the Organisational commitment through four different types namely Affective, Continuance, Normative and Professional commitment/A quantitative study using purposive sampling among 410 Chennai bankers was conducted to know the commitment types and levels in each category. Demographic and Cluster analysis helps in grouping employees into various levels based on commitment. A comparative study of the top predictors of commitment among Public and Private sector banks helps the human resource policy makers to strategise and redraft the HR policy to ensure better retention

Concurrent Access Algorithms for Different Data Structures: A Research Review

Algorithms for concurrent data structure have gained attention in recent years as multi-core processors have become ubiquitous. Several features of shared-memory multiprocessors make concurrent data structures significantly more difficult to design and to verify as correct than their sequential counterparts. The primary source of this additional difficulty is concurrency. This paper provides an overview of the some concurrent access algorithms for different data structures

Exploring Key Factors Leading to Low Performance in Mathematics of J & K Students in the Programme for International Student Assessment (PISA): A Rational Analysis

Mathematics is one of the core subjects in the curriculum at national and international levelas the direct implication on fostering various important qualities such as creativity, logicaland abstract thinking, problem solving, originality and curiosity among the learners, by thesubject Mathematics. However, it is quite disheartening to note that the low performance ofIndian students at international assessment in Mathematics as reported by PISA 2009, Indianstudents ranked second last among 73 countries. Kumar & Karimi (2010) found that theanxiety in Mathematics has a negative effect with Mathematics performance and achievementthough it has also been found that a degree of cognitive anxiety (worry and concern) maymotivate students to try harder. Also, (Guin, 2018) observed that Phobia in Mathematics isnot genetic but highly contagious. Every negative comment to the subject like it is hard,boring, abstract, useless etc. puts a negative image about Mathematics among the children. Inthe present study, the author has critically reasoned out the key factors leading to lowperformance of the students such as emphasis on rote memory than competency skills likecritical, collaborative and creative thinking, connection the school knowledge to real lifesetting, rigidity in problem solving, shortage of qualified professional Mathematics teachers,more emphasis on completion of syllabus rather than meaningful learning of Mathematicsconcepts, inadequate Mathematics laboratories, improper teaching methods, system ofassessment, student’s understanding of conceptual and procedural knowledge in themain operations, rigidity in problem solving, etc. The present paper also highlighted thepedagogical factors, administration factors, institutional factors and evaluation factors inorder to reason out the present status of mathematics learning in specific context to Indianschools. The paper has also been supported with the inferences drawn through an empiricallyconducted pilot study by the investigator on teachers and students with the purpose to identifythe factors affecting the performance of students in Mathematics. The study has also includedsome concrete suggestions and recommendations to be employed at micro (Classroom level)and macro level (Administration/Institutional level) so as to improve performance of thelearners in Mathematics

An Efficient Technique to Secure Data Access for Multiple Domains using Overlapping Slicing

Data Mining is the process of analysing data from different perspective, summarizing it into useful information and extracts the needed information from the database. Most enterprises are collecting and storing data in large database. Database privacy is a important responsibility of organizations for to protects clients sensitive information, because their clients trust them to do so. Various anonymization techniques have been proposed for the privacy of sensitive microdata. However, there is considered between the level of privacy and the usefulness of the published data. Recently, slicing was proposed as a technique for anonymized published dataset by partitioning the dataset vertically and horizontally. This paper proposes a technique to increase the utility and privacy of a sliced dataset by allowing overlapped slicing while maintaining the prevention of membership disclosure. Also provide secure data access for multiple domains. This novel approaches work on overlapped slicing to improve preserve data utility and privacy better than traditional slicing. DOI: 10.17762/ijritcc2321-8169.16045

NAD(P)H:Quinone oxidoreductase 1 inducer activity of novel 4-aminoquinazoline derivatives

Fourteen novel 4-aminoquinazoline derivatives 2-15 were designed and synthesized. The structure of the newly synthesized compounds was established on the basis of elemental analyses, IR, (1)H-NMR, (13)C-NMR, and mass spectral data. The compounds were evaluated for their potential cytoprotective activity in murine Hepa1c1c7 cells. All of the synthesized compounds showed concentration-dependent ability to induce the cytoprotective enzyme NAD(P)H: quinone oxidoreductase (NQO1) with potencies in the low- to sub-micromolar range. This approach offers an encouraging framework which may lead to the discovery of potent cytoprotective agents.</p

Complexity Reduction and Improvement in Convergence Characteristics of Fir Filter Using Adaptive Algorithm

Abstract: Linear filtering is required in a variety of application. A filter will be optimal only if it is designed with some knowledge about the input data. If this information is not known, adaptive filters are used. These filters are adaptable to the changing environment. Adaptive filters finds its application in various fields like adaptive noise cancelling, line enhancing, frequency tracking, channel equalisation etc. Adaptive filtering involves two basic operations filtering and adaptation algorithms. First is filtering process in which output signal is generated from input signal using digital filter. Second is adaptation process which consists of adaptive algorithm which adjusts the coefficient of filter to minimize a desired cost function. There are two basic adaptive algorithms which are used in adaptive filtering least mean square algorithm and normalised least mean square algorithm. Least-mean-square (LMS) adaptive algorithm the most popular and widely used. Another most popular mean of FIR filtering technique is to utilize NLMS algorithm but as the length of the filter increases, number of filter coefficient increases so design of filter become complex in NLMS design but by using MMax -NLMS algorithms design of filter become easy but convergence characteristics occur at later stage take too long time for computation for processing of signal. In this work proposal of improving the convergence characteristics is made which doesn&apos;t affect the performance of design without compromising the tap-selection process of the MMax-NLMS algorithms