Articles

Access the latest knowledge in applied science, electrical engineering, computer science and information technology, education, and health.

Advanced Search
Filter Icon

Filters article

Years

FAQ Arrow
Single Year
Range Year
0
0

Source Title

FAQ Arrow

Authors

FAQ Arrow

30,547 Article Results

Blood image analysis to detect malaria using filtering image edges and classification

10.12928/telkomnika.v17i1.11586
Murk Hassan; Mehran University Memon , Tariq Jamil Saifullah; Mehran University Khanzada , Sheeraz; Mehran University Memon , Syed Raheel; King Abdulaziz University Hassan
Malaria is a most dangerous mosquito borne disease and its infection spread through the infected mosquito. It especially affects the pregnant females and Children less than 5 years age. Malarial species commonly occur in five different shapes, Therefore, to avoid this crucial disease the contemporary researchers have proposed image analysis based solutions to mitigate this death causing disease. In this work, we propose diagnosis algorithm for malaria which is implemented for testing and evaluation in Matlab. We use Filtering and classification along with median filter and SVM classifier. Our proposed method identifies the infected cells from rest of blood images. The Median filtering smoothing technique is used to remove the noise. The feature vectors have been proposed to find out the abnormalities in blood cells. Feature vectors include (Form factor, measurement of roundness, shape, count total number of red cells and parasites). Primary aim of this research is to diagnose malaria by finding out infected cells. However, many techniques and algorithm have been implemented in this field using image processing but accuracy is not up to the point. Our proposed algorithm got more efficient results along with high accuracy as compared to NCC and Fuzzy classifier used by the researchers recently.
Volume: 17
Issue: 1
Page: 194-201
Publish at: 2019-02-01

Failure prediction of e-banking application system using adaptive neuro fuzzy inference system (ANFIS)

10.11591/ijece.v9i1.pp667-675
Yuwono Abdillah , Suharjito Suharjito
Problems often faced by IT operation unit is the difficulty in determining the cause of the failure of an incident such as slowing access to the internet banking url, non-functioning of some features of m-banking or even the cessation of the entire e-banking service. The proposed method to modify ANFIS with Fuzzy C-Means Clustering (FCM) approach is applied to detect four typical kinds of faults that may happen in the e-banking system, which are application response times, transaction per second, server utilization and network performance. Input data is obtained from the e-banking monitoring results throughout 2017 that become data training and data testing. The study shows that an ANFIS modeling with FCM optimized input has a RMSE 0.006 and  increased accuracy by 1.27% compared to ANFIS without FCM optimization.
Volume: 9
Issue: 1
Page: 667-675
Publish at: 2019-02-01

Low latency and energy efficient cluster based routing design for wireless sensor network

10.11591/ijeecs.v13.i2.pp615-625
Basavaraj G.N , Jaidhar C.D
Wireless sensor network (WSN) has attained wide adoption across various sectors and is considered to be key component of future real-time application such as BigData, Internet of things (IoT) etc. The modern application requires low latency and scalable real-time data access considering heterogeneous network. However, provisioning low latency real-time data access incurs energy overhead among sensor device. Clustering technique aided in providing scalability and minimizing energy consumption among sensor device. However, it incurs energy overhead among cluster head and sensor device closer to sink. To address, many optimization technique is been presented in recent time for optimal cluster selection. However, these technique are designed considering homogenous network. To address, this work presented low latency and energy efficient routing (LLEER) design for heterogeneous WSN. The LLEER adopts multi-objective function such asconnectivity, connection time, radio signal strength, coverage time, and network traffic for cluster head and hop node selection. Experiment are conducted to evaluate LLEER design shows significant performance improvement over state-of-art model in terms of network lifetime considering total node death, first node death, and loss of connectivity, communication overhead, and packet transmission latency. Proposed LLEER brings a good trade-off between energy efficiency, and latency requirement of future real-time application.  
Volume: 13
Issue: 2
Page: 615-625
Publish at: 2019-02-01

Frequency tuning varactor-loaded reconfigurable antenna for m-WiMAX and WLAN applications

10.11591/ijeecs.v13.i2.pp779-786
S. M. Shah , K. Hamdan , Z. Z. Abidin , F. C. Seman , S. A. Hamzah , N. Katiran , F. Zubir
A design approach for a microstrip patch antenna to achieve the reconfigurable dual-band operation with a tunable device is presented in this work. The approach uses a BB833 varactor diode in the middle of a slotted patch antenna which which is able to produce dual-band resonant frequencies. The reconfigurable antenna is designed and simulated in CST Microwave Studio® software and is later, fabricated on a FR-4 substrate with a dielectric constant,  of 4.5, loss tangent, tan δ of 0.019 and thickness, h of 1.6 mm. By changing the DC voltages of the varactor diode, different capacitance values of the varactor diode are obtained which dictate the specific resonant frequencies. From the simulation results, the capacitance value of 0.5 pF with a bias voltage of 2.0 V is chosen as it produces the required dual-band resonant frequencies at 3.38 GHz and 5.37 GHz for desired applications in the m-WiMAX and WLAN bands.
Volume: 13
Issue: 2
Page: 779-786
Publish at: 2019-02-01

An idea of intuitive mobile diopter calculator for myopia patient

10.12928/telkomnika.v17i1.11623
Komang Candra; Brawijaya University Brata , Mukhammad Sharif; Brawijaya University Hidayatulloh
The diopter is the unit of measurement for the refractive power of a lens. Myopia is a form of refractive error which is a leading cause of visual disability throughout the world. The prevailing treatment of refractive errors which are commonly used in daily life are glasses and contact lenses. Although those methods can overcome myopia, many myopia patients still don’t really know how to measure their current refractive error in diopter. This condition may retard the progression of refractive treatment in the myopic individual. The common methods to measure refractive error are phoropter with Snellen chart and retinoscopy, but those expensive tools need expertise to operate. This paper presents the concept of measure the face to smartphone screen distance to provide the possibility to implement a mobile application as a low-cost alternative refractive measurement tool. The main objective is to investigate the feasibility of mobile application to help patients with myopia measuring their blur line distances and evaluate their diopter levels independently. The experimental results reveal that, with 80.5 usability score the overall functionality of proposed application can be categorized as usable to users and feasible for future implementation.
Volume: 17
Issue: 1
Page: 307-313
Publish at: 2019-02-01

Power loss analysis of current-modules based multilevel current-source power inverters

10.12928/telkomnika.v17i1.11601
Suroso; Jenderal Soedirman University Suroso , Winasis; Jenderal Soedirman University Winasis , Daru Tri; Jenderal Soedirman University Nugroho , Wahyu Tri; Jenderal Soedirman University Cahyanto
A power loss analysis of multilevel current-source inverter (MCSI) circuits developed from two basic configurations of three-level current-source inverters, i.e. H-bridge and common-emitter inverter configurations is presented and discussed. The first circuit topology of the MCSI is developed by using DC current modules connected to the primary three-level H-bridge inverter. The second MCSI circuit is created by connecting the current-modules to a three-level common-emitter inverter. The DC current modules work generating the intermediate level waveform of the inverter circuits. Power loss analysis of the both topologies was carried out to explore the efficiency performance of the inverter circuits. The results showed that for the H-bridge and common-emitter MCSI using DC current modules, the amount of conduction losses in the inverter circuits could be diminished when the level number of AC output current increase. The measurement test results have also proved that using these MCSI topologies, the power conversion efficiency will also increase.
Volume: 17
Issue: 1
Page: 453-462
Publish at: 2019-02-01

A comparative approach between different optimize result in hybrid energy system using HOMER

10.11591/ijece.v9i1.pp141-147
Shweta Goyal , Sachin Mishra , Anamika Bhatia
To compare the different result of optimization of a hybrid energy system. A hybrid renewable energy system (HRES) is the combination of renewable and non-renewable sources which is playing a very important role for rural area electrification when grid extension is not possible or excessively expensive. Non renewable sources like diesel power generator (optional) are used in a HRES for backup when renewable energy supply is not sufficient. While the HRES is very important due to the smallest natural and physical contact compared to non renewable sources, this work proposed a comparison outcome with the help of different component by using HOMER software and get best optimize result for the model. This paper presents a wide-ranging review of various aspects of HRES. This paper discusses study, best sizing, and model, organize aspect and reliability issue.
Volume: 9
Issue: 1
Page: 141-147
Publish at: 2019-02-01

Performance of cluster-based cognitive multihop networks under joint impact of hardware noises and non-identical primary co-channel interference

10.12928/telkomnika.v17i1.9543
Pham Minh; HCMC University of Technology and Education Nam , Tran Trung; Posts and Telecommunications Institute of Technology Duy , Phan Van; HCMC University of Technology and Education Ca
In this paper, we evaluate outage probability (OP) of a cluster-based multi-hop protocol operating on an underlay cognitive radio (CR) mode. The primary network consists of multiple independent transmit/receive pairs, and the primary transmitters seriously cause co-channel interference (CCI) to the secondary receivers. To improve the outage performance for the secondary network under the joint impact of the CCI and hardware imperfection, we employ the best relay selection at each hop. Moreover, the destination is equipped with multiple antennas and uses the selection combining (SC) technique to enhance the reliability of the data transmission at the last hop. For performance evaluation, we first derive an exact formula of OP for the primary network which is used to calculate the transmit power of the secondary transmitters. Next, an exact closed-form expression of the end-to-end OP for the secondary network is derived over Rayleigh fading channels. We then perform Monte-Carlo simulations to validate the derivations. The results present that the CCI caused by the primary operations significantly impacts on the outage performance of the secondary network.
Volume: 17
Issue: 1
Page: 49-59
Publish at: 2019-02-01

Implementation of web scraping on github task monitoring system

10.12928/telkomnika.v17i1.11613
Rolly Maulana; Politeknik Pos Indonesia Awangga , Syafrial Fachri; Politeknik Pos Indonesia Pane , Restiyana Dwi; Politeknik Pos Indonesia Astuti
Evolution of information and technology increasingly sophisticated, also influential in the field of education. One of the implementation of information and technology development in the field of education is e-learning or electronic learning. GitHub social network can be one of the e-learning media in studying software development because GitHub provides access control The number of contributors who commits or change in a repository to make the duration of the calculation process to fill the parameter value that has been determined. Based on the issue, this research aims to build a page capable of integrating information from the GitHub repository page. Integration of information will be made by utilizing web scraping technology. With a web page that integrates information from the GitHub repository page to get repository, collaborators, commits, and issues information, the lecturer does not need to calculate how often the participant contributes to the task.
Volume: 17
Issue: 1
Page: 275-281
Publish at: 2019-02-01

Optimization of smart traffic lights to prevent traffic congestion using fuzzy logic

10.12928/telkomnika.v17i1.10129
Dian; Sekolah Tinggi Teknik PLN Hartanti , Rosida Nur; Sekolah Tinggi Teknik PLN Aziza , Puji Catur; Sekolah Tinggi Teknik PLN Siswipraptini
One of the main causes of traffic congestion, especially at intersections, is because traffic lights have not been able to show the right time according to the existing traffic conditions. Time settings based on peak/off-peak traffic lights are not enough to handle unexpected situations. The fuzzy mamdani method makes decisions with several stages, the criteria used are the number of vehicles, the length of the queue and the width of the road to be able to optimize the time settings based on the real-time conditions required so that unwanted green signals (when there is no queue) can be avoided. The purpose of this research is to create a simulator to optimize traffic time management, so that the timers on each track have the intelligence to predict the right time, so that congestion at the intersection can be reduced by adding up to 15 seconds of green light from the previous time in the path of many vehicles.
Volume: 17
Issue: 1
Page: 320-327
Publish at: 2019-02-01

Modelling and implementation of 9tka game with MaxN algorithm

10.12928/telkomnika.v17i1.11590
Dina; Universitas Pelita Harapan Stefani , Frederikus; Universitas Pelita Harapan J. , Irene Astuti; Universitas Pelita Harapan Lazarusli , Samuel; Universitas Pelita Harapan Lukas , Petrus; Universitas Pelita Harapan Widjaja
9tka is a board game created by Adam Kaluza. The game can be played with 2 up to 4 players, with the goal of conquering as many areas in the board as possible. The aim of this research is to implement the 9tka game into a digital game that can be played on a personal computer. The implementation will include the feature to play against computer players. The rules and game’s play of 9tka is modelled, and then implemented using Java. The Artificial Intelligence (AI) of the computer player is implemented using the MaxN algorithm, which is an extension of the minimax algorithm. Several tests were done to gauge the robustness of the implemented AI. The experiments show that the AI is capable to make a move in time less than 541 milliseconds on average, across all types of players. Moreover, from eight respondents, the average amount of human wins is 2.25 out of 5 matches, across all types of players. This shows that the implemented AI on computer player has a better chance to defeat human opponents.
Volume: 17
Issue: 1
Page: 210-217
Publish at: 2019-02-01

A verification of periodogram technique for harmonic source diagnostic analytic by using logistic regression

10.12928/telkomnika.v17i1.10390
M.; Universiti Teknikal Malaysia Melaka Manap , M. H.; Universiti Teknikal Malaysia Melaka Jopri , A. R.; Universiti Teknikal Malaysia Melaka Abdullah , R.; Universiti Teknikal Malaysia Melaka Karim , M. R.; Universiti Teknikal Malaysia Melaka Yusoff , AH; Universiti Teknikal Malaysia Melaka Azahar
A harmonic source diagnostic analytic is vital to identify the root causes and type of harmonic source in power system. This paper introduces a verification of periodogram technique to diagnose harmonic sources by using logistic regression classifier. A periodogram gives a correct and accurate classification of harmonic signals. Signature recognition pattern is used to distinguish the harmonic sources accurately by obtaining the distribution of harmonic and interharmonic components and the harmonic contribution changes. This is achieved by using the significant signature recognition of harmonic producing load obtained from the harmonic contribution changes. To verify the performance of the propose method, a logistic regression classifier will analyse the result and give the accuracy and positive rate percentage of the propose method. The adequacy of the proposed methodology is tested and verified on distribution system for several rectifier and inverter-based loads.
Volume: 17
Issue: 1
Page: 497-507
Publish at: 2019-02-01

Study of CMOS power amplifier design techniques for ka-band applications

10.11591/ijeecs.v13.i2.pp808-817
A.F Hasan , S.A. Z Murad , K.N Abdul Rani , F.A. Bakar , T.Z.A Zulkifli
This paper reviews of high efficiency CMOS power amplifiers (PAs) in millimeter (mm) wave Ka - Band applications. The study is focused on the challenges in designing PA especially in GHz frequencies inclusive of high gain, good input and output matching, efficiency, linearity, low group delay and low power consumption. Several works on CMOS PA from year 2009 to 2018 are discussed in this paper. Recent developments of CMOS PAs are examined and a comparison of the performance criteria of various techniques is presented.
Volume: 13
Issue: 2
Page: 808-817
Publish at: 2019-02-01

Stereo matching based on absolute differences for multiple objects detection

10.12928/telkomnika.v17i1.9185
Rostam Affendi; Universiti Teknikal Malaysia Melaka Hamzah , Melvin Gan Yeou; Universiti Teknikal Malaysia Melaka Wei , Nik Syahrim Nik; Universiti Teknikal Malaysia Melaka Anwar
This article presents a new algorithm for object detection using stereo camera system. The problem to get an accurate object detion using stereo camera is the imprecise of matching process between two scenes with the same viewpoint. Hence, this article aims to reduce the incorrect matching pixel with four stages. This new algorithm is the combination of continuous process of matching cost computation, aggregation, optimization and filtering. The first stage is matching cost computation to acquire preliminary result using an absolute differences method. Then the second stage known as aggregation step uses a guided filter with fixed window support size. After that, the optimization stage uses winner-takes-all (WTA) approach which selects the smallest matching differences value and normalized it to the disparity level. The last stage in the framework uses a bilateral filter. It is effectively further decrease the error on the disparity map which contains information of object detection and locations. The proposed work produces low errors (i.e., 12.11% and 14.01% nonocc and all errors) based on the KITTI dataset and capable to perform much better compared with before the proposed framework and competitive with some newly available methods.
Volume: 17
Issue: 1
Page: 261-267
Publish at: 2019-02-01

Performance evaluation of arithmetic coding data compression for internet of things applications

10.11591/ijeecs.v13.i2.pp591-597
Nor Asilah Khairi , Asral Bahari Jambek , Rizalafande Che Ismail
Wireless Sensor Network (WSN) is known for its autonomous sensors, where it has been found to be useful during the development of Internet of Things (IoT) devices. However, WSN is also known for its limited energy supply and memory space, as it carries small-sized batteries and memory space. Hence, a data compression approach has been introduced in this paper with the purpose of solving this particular issue. This paper focused on the performance of the Arithmetic Coding algorithm. Temperature (Temp), Sea-Level Pressure (Pressure), stride interval (Stride), and heart rate (BPM) were chosen as the dataset in this project. Based on the results, the compression ratio of Temp, Pressure, Stride, and BPM were 0.428, 0.255, 0.217, and 0.159 respectively. From this analysis, BPM produced the best compression ratio. Undeniably, the Arithmetic Coding algorithm is one of the best methods to compress real-world datasets. Hence, by using this approach, it can reduce the usage of energy and memory space.Wireless Sensor Network (WSN) is known for its autonomous sensors, where it has been found to be useful during the development of Internet of Things (IoT) devices. However, WSN is also known for its limited energy supply and memory space, as it carries small-sized batteries and memory space. Hence, a data compression approach has been introduced in this paper with the purpose of solving this particular issue. This paper focused on the performance of the Arithmetic Coding algorithm. Temperature (Temp), Sea-Level Pressure (Pressure), stride interval (Stride), and heart rate (BPM) were chosen as the dataset in this project. Based on the results, the compression ratio of Temp, Pressure, Stride, and BPM were 0.428, 0.255, 0.217, and 0.159 respectively. From this analysis, BPM produced the best compression ratio. Undeniably, the Arithmetic Coding algorithm is one of the best methods to compress real-world datasets. Hence, by using this approach, it can reduce the usage of energy and memory space.
Volume: 13
Issue: 2
Page: 591-597
Publish at: 2019-02-01
1 2 3
...
2036 2037
Show 1388 of 2037

Discover Our Library

Embark on a journey through our expansive collection of articles and let curiosity lead your path to innovation.

Explore Now
Library 3D Ilustration