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28,719 Article Results

Time-Based Raga Recommendation and Information Retrieval of Musical Patterns in Indian Classical Music Using Neural Networks

10.11591/ijai.v6.i1.pp33-48
Samarjit Roy , Sudipta Chakrabarty , Debashis De
In Indian Classical Music (ICM) perspective, Raga is formed from the different and correct combination of notes. If it is observed the history of Indian Classical Raga in ICM, the playing or serving each of the ragas has some unique sessions. The procedure is to suggest the classifications of playing a raga has been attempted to display by explaining unique musical features and pattern matching. This contribution has been represented how music structures can be advanced through a more conceptual demonstration and consent to unambiguously describe process of computational modeling of Musicology which signify the challenge on complete musical composition from the elementary vocal objects of ICM usage using Neural Networks. In Neural network the samples of various ragas have been taken as input and classify them according to the times of the performance. Over 90% accuracy level has achieved using entire Confusion Matrices and Error Histogram performance evaluation technique.
Volume: 6
Issue: 1
Page: 33-48
Publish at: 2017-03-01

Crowbar Resistance Setting and its Influence on DFIG Low Voltage Based on Characteristics

10.11591/ijra.v6i1.pp31-38
Li Shengqing , Yao Ming , Yuwen Zhang
In the case of low voltage fault cases,doubly fed induction generator (DFIG) with Crowbar protection circuit to realize low voltage ride through (LVRT),and the choice of crowbar resistance of unit LVRT effects is very large.In this paper, from the DFIG wind power system steady state and transient mathematical model of voltage drop down, using space vector analysis method and Laplace transform, deduced the time domain transient current expressions of voltage drop Put forward the method for calculating the maximum fault current and the rotor side crowbar resistance setting method, solve the crowbar protection circuit for tilting rotor current and DC bus over-voltage problems. Numerical example and simulation shows that, The proposed method, effectively suppress the transient component of fault current, significantly improved the automation level of the wind power system.
Volume: 6
Issue: 1
Page: 31-38
Publish at: 2017-03-01

Primary and Secondary Education in Morocco: From Access to School into Generalization to Dropout

10.11591/ijere.v6i1.6341
Zoulal Mansouri , Mohamed El Amine Moumine
This article provides an overview of school wastage, namely repetition and dropout in primary and secondary schools in Morocco. It describes how this phenomenon has progressed since school was implemented in the 1960s. It shows that the fundamental principles of the education system established in the aftermath of Morocco’s independence in 1956 did not succeed in providing a clear, stable education program. The article concludes that despite the tremendous efforts made in enrollment, school wastage persists, and the educational system is still trapped in the idealistic principles of the 1960s, causing education to flounder in the dramatic triangle of schooling, generalization, and dropout.
Volume: 6
Issue: 1
Page: 9-16
Publish at: 2017-03-01

Programmable Automation Controller Mechatronic Experiment

10.11591/ijra.v6i1.pp39-48
Thomas Gross , Kevin Anderson , Nolan Tsuchiya
This paper describes the use of the OPTO-22 Programmable Automation Controller (PAC) Learning center in the undergraduate control systems course at California State Polytechnic University at Pomona (Cal Poly Pomona). The OPTO-22 PAC System is an integrated system of hardware and software used for industrial control, remote monitoring, and data acquisition applications. The paper compares the pros and cons of using a PAC versus Programmable Logic Controller (PLC) or Field Programmable Gate Array (FPGA) systems. The paper introduces the flowchart based programming environment used in PACs. The paper includes an illustrative example of how the OPTO-22 PAC system can be interfaced to an industrial based Mechatronics pick-and-place robot station. This example details the input/output interfaces of the OPTO-22 PAC unit and the SUN Equipment Mecahtronics pick and place robot unit. Details of the flow chart programming and I/O interfacing protocols are given in the paper. The I/O configuration dialog in the OPTO-22 PAC development environment are also presented in this paper.
Volume: 6
Issue: 1
Page: 39-48
Publish at: 2017-03-01

Distribution Power Loss Minimization via Distributed Generation, Capacitor and Network Reconfiguration

10.11591/ijeecs.v5.i3.pp488-495
Mohd Nabil Bin Muhtazaruddin , Nurul Aini Bani , Siti Armiza Mohd Aris , Hazilah Mad Kaidi , Abdul Yasser Abd Fatah , Jasrul Jamani Jamia , Firdaus Muhammad-Sukki , Siti Hawa Abu-Bakar
This paper presents a solution to solve the network reconfiguration, DG coordination (location and size) and capacitor coordination (location and size), simultaneously. The proposed solution will be determined by using Artificial Bee Colony (ABC). Various case studies are presented to see the impact on the test system, in term of power loss reduction and also voltage profiles. The proposed approach is applied to a 33-bus test system and simulate by using MATLAB programming. The simulation results show that combination of DG, capacitor and network reconfiguration gives a positive impact on total power losses minimization as well as voltage profile improvement compared to other case studies.
Volume: 5
Issue: 3
Page: 488-495
Publish at: 2017-03-01

Student and Teacher Factors as Predictors of Statistics Achievement in Federal School of Statistics Ibadan

10.11591/ijere.v6i1.6346
Abel Adekanmi Adetona
The study aimed at assessing how students and teachers factor taken together influence students’ achievement in Statistics as well as their relative contribution to the prediction. Two research questions were raised and purposive sampling was adopted to select national diploma year 2 students since they are already in their final level in the school. Intact number of lecturers of Statistics department and year 2 Statistics students were used for the study. Students Questionnaire (SQ), Teaching Staff Scale (TSS), and Statistics Achievement Test (SAT) were used for data collection and analyzed using descriptive and multiple regression. The results showed that the 6 variables taken together had significant contribution to students’ achievement in Statistics and accounted for 80.82% of the variation in students’ achievement in Statistics. It was recommended that stakeholders in provision of Statistics education at the monotechnic institutions level must consider the four variables that contributed significantly to achievement seriously during planning for the Statistics education programmes for optimum achievement of students in Statistics.
Volume: 6
Issue: 1
Page: 45-53
Publish at: 2017-03-01

Robotic Arm Movement Optimization Using Soft Computing

10.11591/ijra.v6i1.pp1-14
Surender Kumar , Kavita Rani , V. K. Banga
Robots are commonly used in industries due to their versatility and efficiency. Most of them operating in that stage of the manufacturing process where the maximum of robot arm movement is utilized. Therefore, the robots arm movement optimization by using several techniques is a main focus for many researchers as well as manufacturer. The robot arm optimization is This paper proposes an approach to optimal control for movement and trajectory planning of a various degree of freedom in robot using soft computing techniques. Also evaluated and show comparative analysis of various degree of freedom in robotic arm to compensate the uncertainties like movement, friction and settling time in robotic arm movement. Before optimization, requires to understand the robot's arm movement i.e. its kinematics behavior. With the help of genetic algorithms and the model joints, the robotic arm movement is optimized. The results of robotic arm movement is optimal at all possible input values, reaches the target position within the simulation time.
Volume: 6
Issue: 1
Page: 1-14
Publish at: 2017-03-01

“Nearest Zero-point” Algorithm for Cooperative Robotic Search Missions

10.11591/ijra.v6i1.pp49-58
Vahid Aryai , Mahsa Kharazi , Farid Ariai
Four path planning and data exchange algorithms for cooperative search and coverage robotic missions are proposed and modified. The introduced methods are simulated using C++ programming environment and the results are discussed in detail for environments with static obstacles. It has been shown that using the “nearest zero-point” algorithm can greatly optimize the mission duration and also overlapping of the search trajectories. Finally, the results are compared with several existing algorithms.
Volume: 6
Issue: 1
Page: 49-58
Publish at: 2017-03-01

Automatic Skyscraper Window Cleaning System

10.11591/ijra.v6i1.pp15-20
Kavya S , Karthik M.S. , Arun Kumar C
Automatic Skyscraper Window Cleaning System (ASWCS) aims at providing a risk free and more automated solution for the problem of cleaning glass windowed high rise buildings. It consists of a rollers-based moving platform suspended by a motorized pulley from the top of the building. The cleaning is done with the help of a motor driven cleaning roller brush and water spraying system provided in the platform. The rail system provided on the parapet wall of the building aids in the motorized horizontal movement of the cleaning platform. The entire operation is controlled by a TI MSP430 microcontroller. Once the dimensions of the building are input, the proposed system achieves cleaning with less human intervention. Hence the ASWCS provides an easy, efficient and safe solution for maintenance of skyscraper windows.
Volume: 6
Issue: 1
Page: 15-20
Publish at: 2017-03-01

Science Learning Cycle Method to Enhance the Conceptual Understanding and the Learning Independence on Physics Learning

10.11591/ijere.v6i1.6348
Dwi Sulisworo , Novitasari Sutadi
The aim of this study is to observe the application of SLC (science learning cycle) model on improving scientific literacy for secondary vocational schools at physics. Through this research, it will be known its influence of learning methods and contribution to the understanding of physics concepts and student independence learning. This research is a quasi-experimental design with pretest and posttest control group which the independent variable is learning the method and the dependent variable is the conceptual understanding. The result shows that there is an effect of teaching method on the dependent variable. It also shows that the conceptual understanding of the students in the treatment group who applied methods SLC is better than the control group.
Volume: 6
Issue: 1
Page: 64-70
Publish at: 2017-03-01

Material Handling and Assembly Process Optimization using Value Stream Mapping

10.11591/ijra.v6i1.pp59-68
Daniel Derrell Forest , G.H. Massiha
The purpose of this project is to evaluate and optimize an assembly process for ergonomic and productivity considerations. Companies use lean manufacturing as a method for continuous improvement in order to increase throughput and for to reallocate resources for more important tasks. For this project, value stream mapping (VSM) was used to evaluate, analyze, and improve the ergonomic factors of an assembly process and to increasing throughput. With the use of VSM, researchers are able to see the areas of added value, non-added value, and bottlenecks. This project illustrates the implementation of VSM for the minimization of waste, by using the design method to restructure the process of assembly. The results show drastic improvement in assembly time and ergonomic workplace design, while providing a platform for a continuous improvement system.
Volume: 6
Issue: 1
Page: 59-68
Publish at: 2017-03-01

Path Planning of the Fire Escaping System Using Active Detection Module

10.11591/ijra.v6i1.pp21-30
Ying Yao Ting , Huan Sheng Wang , Kuo Lan Su
This article proposes a security system which detects the fire events and plans the moving route. Each robot with several modules owns the shape of cylinder and height, weight and diameter is 18cm, 1.5kg and 8cm. A main controller (STC12C5A60S2) equips robots as a microprocessor. Each robot has the capability to escape from the fire scene. Whenever detecting fires and obstacles using image sensor and reflective IR sensors, robots send the ID code, orientation, and position to the centralized computer and other robots. After other robots have confirmed the fire events, the centralized computer uses the Gaussian probability function to calculate the danger values of the surrounding points near the fire source. And Bayesian estimation method is applied to compute the total estimated value of each point in platform. Furthermore, the total weighted values of all points are shown in a platform and its aim is to enlarge the difference between danger and safety without ambiguity. A* algorithm is used in the escaping routes are planned by a centralized computer. The mobile robot follows the leading of the supervised computer autonomously to escape from dangerous areas. The air-fuel ratio and the rate of increasing in temperature with distance are directly proportional to the danger value. Associating the increasing temperature rate with three-fire sources, it is verified to be an efficient system.
Volume: 6
Issue: 1
Page: 21-30
Publish at: 2017-03-01

Investigating the Written Exam Scores’ Prediction Power of TEOG Exam Scores

10.11591/ijere.v6i1.6344
Hakkı Kontaş , Esen Turan Ozpolat
The purpose of this study was to investigate exam scores’ predicting Transition from Primary to Secondary Education (TEOG) exam scores. The research data were obtained from the records of 1035 students studying at the first term of eighth grade in 2015-2016 academic year in e-school system. The research was on relational screening model. Linear regression model was used for the analysis of data. The analysis results proved that there was a high level significant relationship between exam scores and TEOG exam scores.
Volume: 6
Issue: 1
Page: 31-37
Publish at: 2017-03-01

Values of Local Wisdom: A Potential to Develop an Assessment and Remedial

10.11591/ijere.v6i1.6349
Iwan Setia Kurniawan , Uus Toharudin
This study aimed to describe the ability of student teachers of biology at Pasundan University in developing assessment and remedial based on local wisdom (local wisdom). This research uses descriptive quantitative and comparative approach, the data obtained by the data analysis described to obtain information or a description of these results, further students' ability in comparison. Tests of significance using parametric tests with two-tailed t-test. The population in this study as many as 197 students were divided into 38 groups, 38 groups divided into each of 19 groups and 19 groups remedial assessment. The sample in this research is divided each as much as 13 groups. Data collected by the non-test, the data obtained from a document or report student assignments given a score based on the indicators are divided into several aspects of assessment, data analysis was performed by descriptive statistical. The results showed that the ability of student teachers of biology in developing assessment based on local wisdom including both categories with an average score of 62.23. Remedial teacher's ability to develop based on local wisdom included in the category enough with an average score of 64.31. The highest average score for the assessment is on the aspects of integration of local wisdom values of 71.92 and the lowest score on the aspect of validity assessment amounting to 56.92. The highest average score for remedial namely the implementation aspects of 71.54 and the lowest scores on originality aspects of 53.38. The test results show that the significance of the t (t) of -0.488, t table (t table) two tails at 2.179. p-value of 0.635. Assuming that if t <t table (-0.488 <2.179) or with a p-value> 0.05 (0.635> 0.05) can thus be concluded that students in developing assessment and remedial based on local wisdom has the same ability.
Volume: 6
Issue: 1
Page: 71-78
Publish at: 2017-03-01

Deep Neural Network Method for the Prediction of Xylitol Production

10.11591/ijeecs.v5.i3.pp691-696
Siti Noorain Mohmad Yousoff , ‘Amirah Baharin , Afnizanfaizal Abdullah
Bio-based chemical products such as xylitol have achieved remarkable attentions both in pharmaceutical and food industries due to their several advantages such as sugar substitute that can help diabetic patients and help in preventing tooth decay problem. To produce xylitol, recently, microbial host such as E. Coli often used as it is predicted that E. Coli can produce high level of xylitol. Therefore, metabolic engineering need to be done towards E. Coli and powerful tools are needed to manipulate, simulate and analyse the E. Coli metabolic pathway. Artificial intelligence methods such as deep neural network offer an efficient and powerful approach to be used to analyse the xylitol production value and at the same time to predict which genes and pathway that give biggest effect in the process to produce xylitol in E. Coli. Results show that, with an absence of genes pgi, tkt and tala, xylitol production can be boosted up to the higher level.
Volume: 5
Issue: 3
Page: 691-696
Publish at: 2017-03-01
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