Volume VI Issue X

This paper presents a hybrid Wavelet-Genetic Programming model for enhancing forecasting accuracy of time series significant wave heights. The study investigates the use of wavelet decomposition together with genetic programming for forecasting significant wave heights.

ATM banking is a crucial aspect of today’s applied technology that offers unlimited possibilities as a strategy to attract and retain customers. In addition to that it has changed the pattern in performing their business. The Ethiopian banking industry is also shifting in the advent of this ATM technology to put both the banks and the customers in a win-win situation. Hence, the researcher attempted to study on the adoption of Automated Teller Machine (ATM) in Commercial Bank of Ethiopia (CBE) in Addis Ababa. The study was descriptive in nature and data were gathered through questionnaires and document analysis. In order to achieve the objective of the study, mixed use sampling techniques were used. A sample size of the study was (n = 320). Data collected with structured questionnaire was analysis by inferential statistics. The major results were the determinant variables have significantly affected the adoption of ATM in CBE in the case of Addis Ababa customers. Based on these findings, conclusions were drawn and some feasible recommendations were made.

Hbase is a distributed column-oriented database built on top of HDFS. Hbase is the Hadoop application to use when you require real-time random access to very large datasets. Hbase is a scalable data store targeted at random read and writes access of fully structured data. It's invented after Google's big table and targeted to support large tables, on the order of billions of rows and millions of columns. This paper includes step by step information to the HBase, Detailed architecture of HBase. Illustration of differences between apache Hbase and a traditional RDBMS, The drawbacks of Relational Database Systems, Relationship between the Hadoop and Hbase, storage of Hbase in physical memory. This paper also includes review of the Other cloud databases. Various problems, limitations, advantages and applications of HBase. Brief introduction is given in the following section.

Data-intensive computing is a paradigm to address the data gap and a platform to allow the advancement in research to process massive amounts of data and implement such applications which previously analyzed to be impractical or infeasible. The existing one-pass analytics algorithm observed to be data-intensive and contrarily requires the ability to efficiently process high volumes of data. MapReduce is supposed to be a programming model for processing large datasets using a cluster of machines. However, the existing MapReduce model is considerably not well-suited for high volume trimmer data, since it is towards batch processing and requires the data set to be fully loaded into the cluster before running analytical queries. This paper examines, from an efficiency standpoint, what the architectural design changes are necessary to bring the benefits of the MapReduce model and streaming algorithm to incremental, the existing MR algorithms.

In this paper we provide an efficient scheme for transmission of bit map images over MIMO system by employing spatial multiplexing. The image under test is compressed using bmp compression algorithm and all the pixels are transmitted with an optimal unequal power allocation algorithm. V BLAST or ZF receiver is selected for symbol detection and the image is reconstructed by decompression algorithm at the receiver. First of all the image to be transmitted is converted into bits and then headers and markers are added to the obtained bits. These bits are transmitted through the MIMO channel consisting of two transmitting and two receiving antennas. Spatial multiplexing technique is employed. Zero forcing equalization technique is employed at the receiver to get the output bits at the receiver then the reverse process is done to get the output image.

This paper aims at implementing a Switched Reluctance Motor drive in sensor-based mode using dsPIC30F6010 motor control demo-board. For this purpose, initially the sensor-based and sensor-less control technique for the SRM drive have been studied. The simulation model in sensor-based operation has been developed in SIMULINK/MATLAB environment and the responses of the drive for different load torques and reference speeds have been obtained. The impact of varying firing angles, θON and θOFF, of the control devices in each of the phases also has been analyzed. The sensor-less control technique that has been used here is Flux-current-theta method.

The thermoplastic materials, which has the capacity to withstand tensile pressure of more than 400 Kg/cm2 and temperature of more than 1000C considered as engineering thermoplastics. In this paper, a new composite of Nylon 66 has been prepared by adding micron-sized calcium carbonate (CaCO3) filler aiming in improvement of the mechanical properties of Nylon 66. Directly a standard specimen is prepared by injection moulding process, it is a cyclic process of forming plastic into a desired shape by forcing the material under pressure into a cavity.

Wood is natural organic material which is obtained from tree stem; it is used for various purpose, and sawmill is the place where wood is brought into required shape and size, with the help of rotating saw blades. Worker’s during giving feed to the saw blade, accidents are prone to occur, if their hands are moving near the saw blade, which may result in hand amputation, and to avoid the consequence this design of saw blade assembly which include IR sensors comes handy and increases safety, these sensors are placed near the saw blade, if unknowingly, worker’s hands come close to the blade while feeding wood, it recognises the human hand and stops the rotating saw blade immediately and avoids accidents.

To cater the needs of industry as well as society, it’s the proper time to deploy the IOT based technology to monitor different operations. Automation concept is coming in each and every sector to automate every operation. The leading technology partners such as Amazon, Microsoft & IBM have invented different IOT based platforms to automate the processes as well as operations. Now a day, every industry is trying their best to deploy IOT based services to connect each and every thing. By using AWS IOT platform, it’s very easy to interface different gateways such as Raspberry Pi and Arduino board. In this paper the Raspberry Pi is connected with AWS IOT platform for remote monitoring of any industrial as well as commercial application. Connections with remote locations can easily achieved by using messaging protocol such as MQTT.

Exploiting computational precision can improve performance significantly without losing accuracy in many applications. To enable this, we propose an innovative arithmetic logic unit (ALU) architecture that supports true dynamic precision operations on the fly. The proposed architecture targets fixed-point ALUs. In this paper we focus mainly on the precision controlling mechanism and the corresponding implementations for fixed-point adders and multipliers. We implemented the architecture on Xilinx Virtex-5 XC5VLX110T FPGAs, and the results show that the area and latency overheads are 1% ~ 24% depending on the structure and configuration.