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26,833 Article Results

A Meaningful Compact Key Frames Extraction in Complex Video Shots

10.11591/ijeecs.v7.i3.pp818-829
Manar Abduljabbar Mizher , Mei Choo Ang , Ahmad Abdel Jabbar Mazhar
Key frame extraction is an essential technique in the computer vision field. The extracted key frames should brief the salient events with an excellent feasibility, great efficiency, and with a high-level of robustness. Thus, it is not an easy problem to solve because it is attributed to many visual features. This paper intends to solve this problem by investigating the relationship between these features detection and the accuracy of key frames extraction techniques using TRIZ. An improved algorithm for key frame extraction was then proposed based on an accumulative optical flow with a self-adaptive threshold (AOF_ST) as recommended in TRIZ inventive principles. Several video shots including original and forgery videos with complex conditions are used to verify the experimental results. The comparison of our results with the-state-of-the-art algorithms results showed that the proposed extraction algorithm can accurately brief the videos and generated a meaningful compact count number of key frames. On top of that, our proposed algorithm achieves 124.4 and 31.4 for best and worst case in KTH dataset extracted key frames in terms of compression rate, while the the-state-of-the-art algorithms achieved 8.90 in the best case.
Volume: 7
Issue: 3
Page: 818-829
Publish at: 2017-09-01

Sensor Fusion of Leap Motion Controller and Flex Sensors using Kalman Filter for Human Finger Tracking

10.11591/ijra.v6i3.pp178-187
Godwin Ponraj Joseph Vedhagiri , Hongliang Ren
In our daily life, we, human beings use our hands in various ways for most of our day-to-day activities. Tracking the position, orientation and articulation of human hands has a variety of applications including gesture recognition, robotics, medicine and health care, design and manufacturing, art and entertainment across multiple domains. However, it is an equally complex and challenging task due to several factors like higher dimensional data from hand motion, higher speed of operation, self-occlusion, etc. This paper puts forth a novel method for tracking the finger tips of human hand using two distinct sensors and combining their data by sensor fusion technique.
Volume: 6
Issue: 3
Page: 178-187
Publish at: 2017-09-01

Selective MAC for Obstacle Aware CEV Environmental Model for V2V

10.11591/ijeecs.v7.i3.pp724-736
Usha Rani B , Suraiya Tarannum
Vehicular adhoc network (VANET) adopts or resembles a similar structure of Mobile adhoc network (MANET).  The communication in VANET are generally classified into following three categories such as Vehicle to Infrastructure (V2I), Vehicle to Vehicle (V2V) and Hybrid network which is a combination of V2V and V2I network. VANET using the IEEE 802.11p standard has great potential of achieving objectives of Smart intelligent transport system (SITS) for improving transport and road safety efficiency. As more and more services is been provided for V2V based VANET network. It is a challenging task to provide QoS to end user, due to wireless medium that has limited channel availability for transmission. To guarantee QoS and provide efficient network performance, a prioritized MAC need to be designed. Many priority based MAC has been designed in recent times to improve the quality of data delivery to end user. However these do not consider the impact of environment and presence of obstacle which affects the signal attenuation at the receiver end and affecting the QoS of channel availability. To address, this work present an obstacle based radio propagation model, obstacle based CEV (City, Expressway and Village) environmental model and a selective MAC to provide QoS for different services. The proposed model efficiency is evaluated in term of throughput achieved per channel, Collison and success packet transmission. To evaluate the adaptive performance of proposed AMACexperiment are conducted under CEV environment and are compared with existing MAC NCCMA. The outcome achieved shows that the proposed model is efficient in term of reducing Collison, improving packet transmission and throughput performance considering two types of services.
Volume: 7
Issue: 3
Page: 724-736
Publish at: 2017-09-01

Implementing 3D Printer to Produce Parts in Medical Applications

10.11591/ijra.v6i3.pp188-199
Roger Johnson , Charles Taylor , G. H. Massiha
The purpose of this project is to show the ability of a 3D printer to produce temporary parts, molds, and jigs for industrial applications. In the industry, it is common for any replacement parts to be milled by a CNC machine or a large inventory of replacement parts to be kept on standby.  This represents an underutilization of company capital.  This is because there should either be a CNC machine delegated to remake the part, while the other machine is down, or have capital dumped into parts that will not be utilized until a part breaks.  A 3D printer can create a temporary part that can take the place of the broken one until another, more permanent, one can be produced or ordered.  Although, if this was the only thing it would be used for it also would be underutilized and not bringing out its full potential.  It can also make jigs in a fraction of the time, and cost in materials, it would take for a CNC machine to mill it from metal.  This increases flexibility of the 3D printer and does not leave it underutilized, thus not being capital that is underutilized.
Volume: 6
Issue: 3
Page: 188-199
Publish at: 2017-09-01

High Quality Video Assessment Using Salient Features

10.11591/ijeecs.v7.i3.pp761-772
Bhanu Rekha , Ravi Kumar AV
An efficient modified video compression HEVC technique based on high quality assessment saliency features presented for the assessment of high quality videos. To create an efficient saliency map we extract global temporal alignment component and robust spatial components. To obtain high quality saliency here, we combine spatial saliency features and temporal saliency features together for different macroblocks in association with transformed residuals. In this way, our saliency model outperforms all the existing techniques. In this paper, we have generated high reconstruction quality video after compression considering SFU dataset. Our experimental results outperforms all the existing techniques in terms of saliency map detection, PSNR and high-resolution quality.
Volume: 7
Issue: 3
Page: 761-772
Publish at: 2017-09-01

Examining Pre-school Teachers’ and Parents’ Views on Counseling and Guidance Services in Pre-school Education

10.11591/ijere.v6i3.7639
Gulsen Buyuksahin Cevik
Current study aims to reveal the problems that pre-school teachers and parents face, in relation to guidance and counseling services, at schools without psychological counselors. The purpose of including pre-school teachers and parents in the current study was to find out both whether they considered the guidance and counseling services a need and whether their methods of intervention against the problems that they face were functional. The current research was designed with interview technique as a qualitative study method. Research data were collected through a semi-structured interview form developed by the researcher. The researcher met the participants individually and asked the questions on the interview form for the current research. The responses that the participants provided were recorded and later transferred onto computer environment. The study group, formed based on voluntary participation, included total 30 participants with 15 pre-school teachers and 15 parents of pre-school children. Pre-school teacher participants 10 females and 5 males, worked for five different preschools in Adiyaman. Total 15 parents in the study group included nine females and six males. An examination of pre-school teachers’ responses based on the current study findings indicated that majority of the teachers did not prepare an annual counseling and guidance plan. Another finding of the current study was that children of most parents and teachers experience adjustment problems in pre-school. Another finding of the current research is about children’s individual problems. Main individual problems that parents experienced with their children included self-care and social development.
Volume: 6
Issue: 3
Page: 207-215
Publish at: 2017-09-01

Autonomous Vehicle Control System as a Mobile Robot by Artificial Neural Network

10.11591/ijra.v6i3.pp200-206
Nazmul Haque , Md Hasnat Riaz
In this paper we have presented the artificial neural network controlled car in mobile robotics and intelligent car systems. The motion control architecture of the robot is presented with an importance on the support and directing units. This uses neural network methods and the values fundamental its design is drawn. A robust neural control system using a model of the process is also developed.
Volume: 6
Issue: 3
Page: 200-206
Publish at: 2017-09-01

Discrete-time Inversion Model Control of a Double-damper System with Uncertain Parameters

10.11591/ijra.v6i3.pp168-177
Marwa Hannachi , Ikbel Bencheikh Ahmed , Dhaou Soudani
This paper addresses the control at discrete time of physical complex systems multi-inputs multi-outputs with variables parameters. Classified among the robust control laws the Internal Model Control (IMC) is adopted in this work to ensure the desired performances adjacent to the complexities of the system. However, the application of this control strategy requires that these different building blocks be open loop stable, which invites us, on the one hand, to apply the algebraic approach of Kharitinov for delimiting the summits stability domain’s system. On the other case, the Linear Matrix Inequalities (LMI) approach is applied to determine the corrector’s stability conditions obtained by a specific inversion of the chosen model. It is in this sense that we contribute by this work to execute the command by inversion the discrete-time model in order to ensure the stability and to maintain the performances the stability conditions of required for the double damper system with variable parameters.
Volume: 6
Issue: 3
Page: 168-177
Publish at: 2017-09-01

Controlling of Mobile Robot by Using of Predictive Controller

10.11591/ijra.v6i3.pp207-215
Alireza Rezaee
In this paper implementation of Model PredictiveController on mobile robot was explained. The conductedexperiments show effectiveness of the proposed method oncontrol of the mobile robot. Furthermore the effects of the modelparameters such as control horizon, prediction horizon,weighting factor and signal filter band on the controllerperformance were studied. Finally, a comparison between thedesigned MPC controller and PID and adaptive controllers waspresented demonstrating superior performance of the ModelPredictive Controllers.
Volume: 6
Issue: 3
Page: 207-215
Publish at: 2017-09-01

Is Parameters Quantification in Genetic Algorithm Important, How to do it?

10.11591/ijai.v6.i3.pp112-123
Hari Mohan Pandey
The term “appropriate parameters” signifies the correct choice of values has considerable effect on the performance that directs the search process towards the global optima. The performance typically is measured considering both quality of the results obtained and time requires in finding them. A genetic algorithm is a search and optimization technique, whose performance largely depends on various factors – if not tuned appropriately, difficult to get global optima. This paper describes the applicability of orthogonal array and Taguchi approach in tuning the genetic algorithm parameters. The domain of inquiry is grammatical inference has a wide range of applications. The optimal conditions were obtained corresponding to performance and the quality of results with reduced cost and variability. The primary objective of conducting this study is to identify the appropriate parameter setting by which overall performance and quality of results can be enhanced. In addition, a systematic discussion presented will be helpful for researchers in conducting parameters quantification for other algorithms.
Volume: 6
Issue: 3
Page: 112-123
Publish at: 2017-09-01

An Improved Repetitive Control for Circulating Current Restraining in MMC-MTDC

10.12928/telkomnika.v15i3.5854
Yahui; Hunan University Wang , Yijia; Hunan University Cao , Yong; Hunan University Li , Chang; Hunan University Li
The modular multilevel converter (MMC) is widely used in many important application fields such as high voltage DC transmission system. And the multi-terminal architecture of it attracts many attentions. However, the circulating current of MMC is an inherent problem which is mainly caused by the voltage mismatch between arms and DC bus. In this paper, an advanced repetitive control method is proposed. This method is based on the even-harmonic characteristic of the circulating current and the potential feature of repetitive control that it has an internal integration part. The pole diagram of the closed loop transform function of the proposed control system proves the stability of the proposed method. And according to the simulation results of a three-terminal MMC-MTDC model in PSCAD/EMTDC, the improved repetitive control presents better circulation repression ability and superior anti-interference capability by comparing with traditional PI control method. Additionally, the simulation results also indicate that the proposed repetitive controller can restrain the fluctuation of SM voltage more effectively than PI control.
Volume: 15
Issue: 3
Page: 1048-1060
Publish at: 2017-09-01

Zoo Simulator to Increase Children Learning Phase

10.11591/ijere.v6i3.8082
Rendy Rendy , Marcel Bonar Kristanda , Seng Hansun
The growth of kids' brain could be optimized by recognizing something. Learning to recognize animals is one of the methods to stimulate the children's brain growth to imagine. Nevertheless, kids tend to spend all their time by playing and could not focus to recognize the animals due to the way of learning which is usually not interactive and not interesting. Therefore, a game application was designed and developed to be used as a way to help children in recognizing the animals. This program was developed as a mobile game application with the animation and attractive display to increase the kids' interest to learn the animals. Beside that, Fisher-Yates shuffle algorithm has been successfully implemented on the game to randomize the images which can be found on puzzles, randomize the answers in image guessing puzzles, randomize animals to choose which can be sold, randomize the foods which will be given to the pets, and randomize the initial position to create patterns on rescue rare animal puzzles. After the implementation and testing on the game application, it proves that it could increase the kids’ interest in learning new animals to 4.18 in ARCS interest measuring index compare with textbook method which only 2.74.
Volume: 6
Issue: 3
Page: 198-206
Publish at: 2017-09-01

The Addition Symptoms Parameter on Sentiment Analysis to Measure Public Health Concerns

10.12928/telkomnika.v15i3.4711
Yohanssen; Del Institute of Technology Pratama , Puspoko; Bandung Institute of Technology Ponco Ratno
Information about public health has a very important role not only for health practitioners, but also for goverment. The importance of health information can also affect the emotional changes that occur in the community, especially if there is news about the spread of infectious disease (epidemic) in particular area at the time, such as case of outbreaks Ebola disease or Mers in specific area. Based on data obtained from Semiocast, Indonesia is the country with fifth largest number of Twitter users in the world, where every topic that lively discussed will also influence a global trending topic. This paper will discuss the measurement of public health concern (Degree of Concern) level by using sentiment analysis classification on the twitter status. Sentiment data of the tweets were analyzed and given some value by using a scoring method. The scoring method equation (Kumar A. et al., 2012) will be tested with new additional parameters, ie symptoms parameters. The value of any twitter user sentiment is determined based on adjectives, verbs, and adverbs that contained in the sentence. The method that we used to find the semantic value of adjectives is corpus-based method. While for finding the semantic value of the verb and adverb we used a dictionary-based method.
Volume: 15
Issue: 3
Page: 1301-1309
Publish at: 2017-09-01

Profile of Single Mode Fiber Coupler Combining with Bragg Grating

10.12928/telkomnika.v15i3.6383
Romi Fadli; Dept. of Physics FMIPA Universitas Riau Syahputra , Saktioto; Dept. of Physics FMIPA Universitas Riau Saktioto , Ros; Dept. of Physics FMIPA Universitas Riau Meri , Syamsudhuha; Dept. of Math FMIPA Universitas Riau Syamsudhuha , Okfalisa; Department of Information Technique, FST, UIN SUSKA Okfalisa
This paper describes a numerical experiment of design and operation of a fiber coupler between single mode fiber and fiber Bragg grating (FBG). Both components are coupled depending with optical waveguide and source parameters. A characterization of fiber coupler is simulated by varying long grating of 10 mm to 60 mm using transfer matrix method based on coupled mode equation. The wave peak, transmission, and dispersion parameters are analyzed to determine the performance of the fiber coupler. The transmission spectrum showed the wave peaks rise to any increase in the grating length on channel 1 and channel 2. Transmission on channel 1 and channel 2 decreased from the wavelength range of 1.45μm–1.55μm and rised in the range of 1,55μm–1,65μm for each increment in length of grating. The dispersion showed the zero dispersion at specific wavelength for each increase in length of grating. This component can be applied for controlling information signal in wide range communication.
Volume: 15
Issue: 3
Page: 1103-1107
Publish at: 2017-09-01

HABCO: A Robust Agent on Hybrid Ant-Bee Colony Optimization

10.12928/telkomnika.v15i3.3656
Abba Suganda; Bina Nusantara University Girsang , Chun-Wei; National Ilan University Tsai , Chu-Sing; National Cheng Kung University Yang
The purpose of this research is to generate a robust agent by combining bee colony optimization (BCO) and ELU-Ants for solving traveling salesman problem (TSP), called HABCO. The robust agents, called ant-bees, firstly are grouped into three types scout, follower, recruiter at each stages. Then, the bad agents are high probably discarded, while the good agents are high probably duplicated in earlier steps. This first two steps mimic BCO algorithm. However, constructing tours such as choosing nodes, and updating pheromone are built by ELU-Ants method.To evaluate the performance of the proposed algorithm, HABCO is performed on several benchmark datasets and compared to ACS and BCO. The experimental results show that HABCO achieves the better solution, either with or without 2opt.
Volume: 15
Issue: 3
Page: 1247-1256
Publish at: 2017-09-01
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