Friday, February 10, 2017

DEVELOPMENT AND IMPLEMENTATION OF MOBILE GEAR FOR SKIER TRAINING SYSTEM

Author : Ayman M. Abdalla, Mohammad M. Abdallah and Mosa I. Salah
  

Volume, Issue, Month, Year :
  Vol 8, No 1, January, 2017

ABSTRACT

The purpose of this study is to develop a Skier Training System for monitoring skiing courses and analyzing skier posture using smartphones. The system is composed of three elements: first, operating servers that receive information on the skier’s exercise; second, Skier Training Apps developed using Java and C based on Android SDK 4.2 or above; and third, Data Gathering Gear embedded with gyroscope sensors and GPS for measuring skier stance. When a skier wearing our Data Gathering Gear runs down a slope, his or her stance is uploaded to the operating servers. Then the servers calculate the recorded data, such as velocity and turn trajectory, in order to suggest body angles that are optimized for the skier; subsequently, the skier can improve his or her skills by checking his or her records, and then attempt to correct his or stances based on the suggestions offered by the Skier Training Apps.


A BRIEF PROGRAM ROBUSTNESS SURVEY

Author : Ayman M. Abdalla, Mohammad M. Abdallah and Mosa I. Salah
  

Volume, Issue, Month, Year :
  Vol 8, No 1, January, 2017

ABSTRACT

Program Robustness is now more important than before, because of the role software programs play in our life. Many papers defined it, measured it, and put it into context. In this paper, we explore the different definitions of program robustness and different types of techniques used to achieve or measure it. There are many papers about robustness. We chose the papers that clearly discuss program or software robustness. These papers stated that program (or software) robustness indicates the absence of ungraceful failures. There are different types of techniques used to create or measure a robust program. However, there is still a wide space for research in this area.




LEVERAGING CLOUD BASED BIG DATA ANALYTICS IN KNOWLEDGE MANAGEMENT FOR ENHANCED DECISION MAKING IN ORGANIZATIONS

Author : Mohammad Shorfuzzaman
  

Volume, Issue, Month, Year :
  Vol 8, No 1, January, 2017

ABSTRACT

In recent past, big data opportunities have gained much momentum to enhance knowledge management in organizations. However, big data due to its various properties like high volume, variety, and velocity can no longer be effectively stored and analyzed with traditional data management techniques to generate values for knowledge development. Hence, new technologies and architectures are required to store and analyze this big data through advanced data analytics and in turn generate vital real-time knowledge for effective decision making by organizations. More specifically, it is necessary to have a single infrastructure which provides common functionality of knowledge management, and flexible enough to handle different types of big data and big data analysis tasks. Cloud computing infrastructures capable of storing and processing large volume of data can be used for efficient big data processing because it minimizes the initial cost for the large-scale computing infrastructure demanded by big data analytics. This paper aims to explore the impact of big data analytics on knowledge management and proposes a cloud-based conceptual framework that can analyze big data in real time to facilitate enhanced decision making intended for competitive advantage. Thus, this framework will pave the way for organizations to explore the relationship between big data analytics and knowledge management which are mostly deemed as two distinct entities.


A SEMI-BLIND WATERMARKING SCHEME FOR RGB IMAGE USING CURVELET TRANSFORM

Author : Ranjeeta Kaushik , Sanjay Sharma and L. R. Raheja
  

Volume, Issue, Month, Year :
  Vol 7, No 1, January, 2017

ABSTRACT

 In this paper, a semi-blind watermarking technique of embedding the color watermark using curvelet coefficient in RGB cover image has been proposed. The technique used the concept of HVS that the human eyes are not much sensitive to blue color. So the blue color plane of the cover image is used as embedding domain. A bit planes method is also used, the most significant bit (MSB) plane of watermark image is used as embedding information. Selected scale and orientation of the curvelet coefficients of the blue channel in the cover image has been used for embedding the watermark information. All other 0-7 bit planes are used as a key at the time of extraction. The results of the watermarking scheme have been analyzed by different quality assessment metric such as PSNR, Correlation Coefficient (CC) and Mean Structure Similarity Index Measure (MSSIM). The experimental results show that the proposed technique gives the good invisibility of watermark, quality of extracted watermark and robustness against different attacks.

INFERENCE BASED INTERPRETATION OF KEYWORD QUERIES FOR OWL ONTOLOGY

Author : Noman Hasany and Batool Alwatban 
  

Volume, Issue, Month, Year :
  Vol.8, No.1, January 2017

ABSTRACT

 Most of the systems presented to date deals with RDF format so they are limited in actually addressing the knowledge base features from the ontology based on OWL semantics. Now, there is a need that actual OWL features i.e. rules and axioms must be addressed to give precise answers to the user queries. This paper presents an interface to OWL ontology which also considers axioms and restrictions that can result in inferring results in understanding user queries and in selecting appropriate SPARQL queries for getting better interpretation and answers. .

ANALYSIS OF POSSIBILITY OF GROWTH OF SEVERAL EPITAXIAL LAYERS SIMULTANEOUSLY IN GAS PHASES FRAMEWORK ONE TECHNOLOGICAL PROCESS. ON POSSIBILITY TO CHANGE PROPERTIES OF EPITAXIAL LAYERS

Author : E.L. Pankratov and E.A. Bulaeva
  

Volume, Issue, Month, Year :
  Vol.6, No.1, January 2017

ABSTRACT

 We analyzed nonlinear model with varying in space and time coefficients of growth of epitaxial layers from gas phase in a vertical reactor with account native convection. We formulate several conditions to increase homogeneity of epitaxial layers with varying of technological process parameters.

Tuesday, February 7, 2017

A SUCCINCT PROGRAMMING LANGUAGE WITH A NATIVE DATABASE COMPONENT

Author :  Hanfeng Chen and Wai-Mee Ching
  

Volume, Issue, Month, Year :
 Vol 7, No 1, January, 2017

ABSTRACT

 ELI is a succinct interactive programming language system organized around a few simple principles. Its main data structures include arrays, lists, dictionaries and tables. In addition, it has an integrated database management component which is capable of processing a basic set of SQL statements. ELI, with a compiler, covering the array portion of the language, is also an excellent tool for coding scientific and engineering solutions. Moreover, it is productive in writing complex applications as well, such as compilers and trading systems.



http://allconferencecfpalerts.com/cfp/view-paper.php?eno=871

LIGHTWEIGHT MOBILE WEB SERVICE PROVISIONING FOR THE INTERNET OF THINGS MEDIATION

Author :  Mohan Liyanage, Chii Chang and Satish Narayana Srirama
  

Volume, Issue, Month, Year :
  Vol.8, No.1, January 2017

ABSTRACT

 Emerging sensor-embedded smartphones motivated the mobile Internet of Things research. With the integrated embedded hardware and software sensor components, and mobile network technologies, smartphones are capable of providing various environmental context information via embedded mobile device-hosted Web services (MWS). MWS enhances the capability of various mobile sensing applications such as mobile crowdsensing, real time mobile health monitoring, mobile social network in proximity and so on. Although recent smartphones are quite capable in terms of mobile data transmission speed and computation power, the frequent usage of high performance multi-core mobile CPU and the high speed 3G/4G mobile Internet data transmission will quickly drain the battery power of the mobile device. Although numerous previous researchers have tried to overcome the resource intensive issues in mobile embedded service provisioning domain, most of the efforts were constrained because of the underlying resource intensive technologies. This paper presents a lightweight mobile Web service provisioning framework for mobile sensing which utilises the protocols that were designed for constrained Internet of Things environment. The prototype experimental results show that the proposed framework can provide higher throughput and less resource consumption than the traditional mobile Web service frameworks.


SMARTPHONE PREVENTIVE CUSTOMIZED POWER SAVING MODES

Author :  Ahmed Sameh and Abdulla Al-Masri
  

Volume, Issue, Month, Year :
  Vol.8, No.1, January 2017

ABSTRACT

 The postulate of this paper is that current smartphones' power saving modes can be improved towards saving more power and/or gain more user satisfaction only if they start following “preventive” and/or user customized power saving plans. We develop a number of preventive power saving modes that save the battery power without the need of using the power of the same battery for detecting abusage. It will be supporting the user with a preventive plan that could give him/her an idea about what to run or don’t run. Another issue of current power saving modes is the “One Size Fits All” philosophy which does not take into consideration the factors that could distinguish different smartphone users, for example, the nature of the workspace of the user (Indoor/Outdoor), the age, the gender and/or the user’s applications categories of interests. The paper develops a strategy to match a smartphone power saving mode with its perfect smartphone user by classifying smartphones users into classes depending on a set of different factors and having the user to identify himself/herself to the smartphone before the first use.


DESIGN, CONSTRUCTION AND EVALUATION OF A DIGITAL HAND-PUSHED PENETROMETER

Author :  Alireza Rezaeea
  

Volume, Issue, Month, Year :
 Vol 7, No.1, January 2017

ABSTRACT

 A cone penetrometer is widely used in tillage and off-road mobility research as an indicator of soil strength and density characteristics. Light-weight, manually operated units are especially useful in recording cone index determination at remote field locations. An electronically hand-pushed soil penetrometer with a microcontroller-based data logging system was designed and fabricated to provide a portable penetrometer for determining soil resistance to penetration in tillage studies. The device consists of three main components: a cantilever beam strain-gauge load cell held by housing to measure penetration force, depth measurement mechanism with a photodiode sensor, and a data logging system for amplifying, digitizing, and acquiring data. Data from data logging system can be downloaded into a personal computer by an RS232 cable and a software program. In evaluation stage, the performance of the developed penetrometer was compared with a commercial Eijkelkamp hand-pushed digital penetrometer in a controlled soil bin conditions. No significant difference was found (p<0.05) between the two penetrometers. The penetrometer performance was reliable and the penetrometer’s mechanical and electrical parts worked well without any malfunctions. The device is very light, easy to use and more economical compared to the conventional types.


SPEED AND TORQUE CONTROL OF AN INDUCTION MOTOR WITH ANN BASED DTC

Author :  Fatih Korkmaz
  

Volume, Issue, Month, Year :
 Vol.7, No.1, January 2017

ABSTRACT

 Due to advantages such as fast dynamic response, simple and robust control structure, direct torque control (DTC) is commonly used method in high performance control method for induction motors. Despite mentioned advantages, there are some chronically disadvantages with this method like high torque and current ripples, variable switching behaviour and control problems at low speed rates. On the other hand, artificial neural network (ANN) based control algorithms are getting increasingly popular in recent years due to their positive contribution to the system performance. The purpose of this paper is investigating of the effects of ANN integrated DTC method on induction motor performance by numerical simulations. For this purpose, two different ANN models have been designed, trained and implemented for the same DTC model. The first ANN model was designed to select optimum inverter and the second model was designed to use in the determination of the flux vector position. Matlab/Simulink model of the proposed ANN based DTC method was created in order to compare with the conventional DTC and the proposed DTC methods. The simulation studies proved that the induction motor torque ripples have been reduced remarkably with the proposed method and this approach can be a good alternative to the conventional DTC method for induction motor control.


CALIBRATION OF INERTIAL SENSOR BY USING PARTICLE SWARM OPTIMIZATION AND HUMAN OPINION DYNAMICS ALGORITHM

Author :  Vikas Kumar Sinha , Avinash Kumar Maurya
  

Volume, Issue, Month, Year :
 Vol 7, No 1, January, 2017

ABSTRACT

An Inertial Navigation System (INS) can easily track position, velocity and orientation of any moving vehicle. Generally, deterministic errors are present in an uncalibrated Inertial Measurement Unit (IMU) which leads to the requirement of an accurate estimation of navigation solution. These inertial sensors, thus, needs to be calibrated to reduce the error inherent in these systems. By mathematical model of IMU including both accelerometer and gyroscope is utilized for the purpose of error calibration. Particle Swarm Optimization (PSO) and Human Opinion Dynamics (HOD) Optimization based calibration techniques have used to obtain error parameters such as bias, scale factor and misalignment errors.