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

31,377 Article Results

Face recognition smart cane using haar-like features and eigenfaces

10.12928/telkomnika.v17i2.11772
Gita Indah; Telkom University Hapsari , Giva Andriana; Telkom University Mutiara , Husein; Telkom University Tarigan
Visually impaired has the limitation in interacting with another human. They usually use the sense of hearing and touching their face to recognize human. Face recognition is a technology that can be used to solve this problem. This paper develops a smart cane function by integrated face recognition feature on the cane using Haar-Like features and Eigenfaces. This paper proposed a portable, real time, and wearable product. Raspberry Pi supports portability that affects the delay and computing speed of face recognition algorithms. Utilization of Raspi camera on the eyes glasses is for wearable purposes. Voice output provides information on whether the face is caught on camera or not. This prototype works well during the face detection and recognition process. It needs 3 seconds for one-face recognized in range 0.25 until 1.5 meters from the camera, until the sound and information are generated. It needs is me 5 second for two faces recognized and 10 seconds for 3 faces recognized by a system in the same range between face and the camera. The accuracy reaches 91.67% for the up-right position face but for other position the accuracy is only 18% until 32%.
Volume: 17
Issue: 2
Page: 973-980
Publish at: 2019-04-01

Novel pH sensor based on fiber optic coated bromophenol blue and cresol red

10.12928/telkomnika.v17i2.9993
Fredy; Institut Teknologi Sepuluh Nopember Kurniawan , Baginda; Institut Teknologi Sepuluh Nopember Zulkarnain , Mohammad Teguh; Institut Teknologi Sepuluh Nopember Hermanto , Hendro; Institut Teknologi Sepuluh Nopember Juwono , Muhammad; Institut Teknologi Sepuluh Nopember Rivai
Fabrication of pH sensor based on fiber optic coated bromophenol blue and cresol red has been done. Briefly, jacket in the middle part of the fiber optic was removed for 5 cm. Then the core of each of fiber optics was washed in ethanol. Nitric acid, demineralized water, and ethanol again consecutively. Then the cleaned core was coated using active material using sol-gel immobilization technique. Tetraehyl orthosilicate was used as a binder in the immobilization of active materials. Bromophenol blue will start change the color to yellow at below pH 3.00±0.01 and blue at above pH 4.60±0.01, while the cresol red will start change the color to yellow at below pH 7.20±0.01 and violet at above pH 8.80±0.01. The pH sensors which have been made show the sigmoidal response over pH from 1.00±0.01 to 11.00±0.01. The sensor has a better performance in comparation with the other sensor.
Volume: 17
Issue: 2
Page: 907-914
Publish at: 2019-04-01

Time and cost optimization of business process RMA using PERT and goal programming

10.12928/telkomnika.v17i2.11792
Gita Intani; Institut Teknologi Sepuluh Nopember Budiawati , Riyanarto; Institut Teknologi Sepuluh Nopember Sarno
As a company engaged in the distribution of wireless devices, Return Material Authorization (RMA) is a mandatory service that must be owned by the company. RMA is a part of the process of returning a product to receive a refund, replacement, or repair during the product’s warranty period. The business process of RMA used functionally design, which is not considered to be effective in terms of time and cost for the company of 2880 minutes for IDR 348242. In this research, Project Evaluation and Review Technique (PERT) was used to select the optimal traces; to optimize time and cost, the researcher used goal programming. This technique allows the creation of a controlled and orderly activity because the schedule and budget of a job are predetermined prior to the implementation. The optimization results show that the process time is reduced by 50% and the cost is reduced by almost 55% which show improvement on the performance of the business processes.
Volume: 17
Issue: 2
Page: 781-787
Publish at: 2019-04-01

A novel UWB reconfigurable filtering antenna design with triple band-notched characteristics by using u-shaped coppers

10.11591/ijeecs.v14.i1.pp267-275
I.D. Saiful Bahri , Z. Zakaria , N. A. Shairi , N. Edward
This paper proposed an UWB antenna with triple reconfigurable notch filters. By presenting there U-shaped coppers in the design, the potential triple interference in UWB applications can be rejected. Six PIN diodes are putted on the coppers to represent the OFF and ON tunable status in order to add reconfigurable characteristics to the UWB antenna. By using this ON and OFF tunable method, the current distribution of the proposed design changes and enables the antenna to have eight operation modes. The results prove that the proposed design can operate over the entire UWB frequency range (3.1 GHz to 10.6 GHz) and can filter out the target signals from the WLAN upper band (5.725 to 5.825 GHz), WLAN lower band (5.15 to 5.35 GHz) and X band frequency system (7.9 to 8.4 GHz) in one of the tunable configurations.
Volume: 14
Issue: 1
Page: 267-275
Publish at: 2019-04-01

An artificial neural network approach for detecting skin cancer

10.12928/telkomnika.v17i2.9547
Sugiarti; Universitas Muslim Indonesia Sugiarti , Yuhandri; Universitas Putra Indonesia YPTK Yuhandri , Jufriadif; Universitas Putra Indonesia YPTK Na'am , Dolly; Universitas Muslim Indonesia Indra , Julius; Universitas Putra Indonesia YPTK Santony
This study aims to present diagnose of melanoma skin cancer at an early stage. It applies feature extraction method of the first order for feature extraction based on texture in order to get high degree of accuracy with method of classification using artificial neural network (ANN). The method used is training and testing phases with classification of Multilayer Perceptron (MLP) neural network. The results showed that the accuracy of test image with 4 sets of training for image not suspected of melanoma and melanoma with the lowest accuracy of 80% and the highest accuracy of 88.88%, respectively. The 4 sets of training used consisted of 23 images. Of the 23 images used as a training consisted of 6 as not suspected of melanoma images and 17 as suspected melanoma images.
Volume: 17
Issue: 2
Page: 788-793
Publish at: 2019-04-01

Influence of input power in Ar/H2 thermal plasma with silicon powder by numerical simulation

10.12928/telkomnika.v17i2.10533
Yulianta; Kanazawa University University of Sumatera Utara Siregar , Yasunori; Kanazawa University Tanaka , Yoshihiko; Kanazawa University Uesugi , Tatsuo; Kanazawa University Ishijima
Numerical simulation in inductively coupled thermal plasma was made on the temperature distribution in argon (Ar)+hydrogen (H2) induction thermal plasma torch with silicon (Si) powder injection to obtain the temperature distribution and gas flow fields. The ICTP model was used in this research because it has benefit of good repeatability and no contamination process. Interactions between ICTP and injected powder are very complicated to be understood only by related experiments. Influence of input power in ICTP was numerically investigated on thermal plasma temperature fields and powder evaporation. The temperature distributions of thermal plasma and Si vapor distribution were compared at input powers of 20 kW, 30 kW, and 40 kW. Results indicated that higher input power increases the temperature of the thermal plasma with doughnut shape but it slightly enhances evaporation of the powder at the center axis of the plasma torch.
Volume: 17
Issue: 2
Page: 1047-1054
Publish at: 2019-04-01

Application of gabor transform in the classification of myoelectric signal

10.12928/telkomnika.v17i2.9257
Jingwei; Universiti Teknikal Malaysia Melaka Too , A. R.; Universiti Teknikal Malaysia Melaka Abdullah , N. Mohd; Universiti Teknikal Malaysia Melaka Saad , N. Mohd; Universiti Teknikal Malaysia Melaka Ali , T. N. S.; Universiti Teknikal Malaysia Melaka Tengku Zawawi
In recent day, Electromyography (EMG) signal are widely applied in myoelectric control. Unfortunately, most of studies focused on the classification of EMG signals based on healthy subjects. Due to the lack of study in amputee subject, this paper aims to investigate the performance of healthy and amputee subjects for the classification of multiple hand movement types. In this work, Gabor transform (GT) is used to transform the EMG signal into time-frequency representation. Five time-frequency features are extracted from GT coefficient. Feature extraction is an effective way to reduce the dimensionality, as well as keeping the valuable information. Two popular classifiers namely k-nearest neighbor (KNN) and support vector machine (SVM) are employed for performance evaluation. The developed system is evaluated using the EMG data acquired from the publicy available NinaPro Database. The results revealed that the extracting GT features can achieve promising performance in the classification of EMG signals.
Volume: 17
Issue: 2
Page: 873-881
Publish at: 2019-04-01

Classification of medical datasets using back propagation neural network powered by genetic-based features elector

10.11591/ijece.v9i2.pp1379-1384
Hussein Attya Lafta , Zainab Falah Hasan , Noor Kadhim Ayoob
The classification is a one of the most indispensable domains in   the data mining and machine learning. The classification process has a good reputation in the area of diseases diagnosis by computer systems where the progress in smart technologies of computer can be invested in diagnosing various diseases based on data of real patients documented in databases. The paper introduced a methodology for diagnosing a set of diseases including two types of cancer (breast cancer and lung), two datasets for diabetes and heart attack. Back Propagation Neural Network plays the role of classifier. The performance of neural net is enhanced by using the genetic algorithm which provides the classifier with the optimal features to raise the classification rate to the highest possible. The system showed high efficiency in dealing with databases differs from each other in size, number of features and nature of the data and this is what the results illustrated, where the ratio of the classification reached to 100% in most datasets).
Volume: 9
Issue: 2
Page: 1379-1384
Publish at: 2019-04-01

An electrical power control system for explorer-class remotely operated underwater vehicle (ROV)

10.12928/telkomnika.v17i2.11757
Muhammad Ikhsan; Telkom University Sani , Simon; Telkom University Siregar , Muhammad Muchlis; Telkom University Kurnia , Dzikri; Telkom University Hasbialloh
The importance of an optimal method for electric power transmission is crucial for ROV operation. Meanwhile, only few studies have shown the effect of electrical power system from power supply to ROV.This paper proposes a design and implementation of electrical power system for ROV that developed by Tech_SAS team from Telkom University, Bandung, Indonesia. This work aims to obtain the optimal power system to supply ROV’s electrical and electronic components. Tech_SAS ROV is developed to compete on 1st and 2nd ASEAN MATE Underwater Robotic Competition. The system has demonstrated that 48V electric voltage can be transmitted to ROV with negligible voltage drop when using 20 meter 12AWG cable. The voltage is converted to 12V using DC-DC converter in order to supply various ROV’s electronic devices ROV safely and efficiently. Meanwhile, the microcontroller was used to as thrust control to manage current flow to DC motor. The system has been evaluated and demonstrates optimal results and provides a design consideration about ROV’s power system especially on tether cable and power distribution scheme.
Volume: 17
Issue: 2
Page: 928-936
Publish at: 2019-04-01

Dashboard settings design in SVARA using user-centred design method

10.12928/telkomnika.v17i2.8762
Muhammad Yusril; Politeknik Pos Indonesia Helmi Setyawan , Rolly Maulana; Politeknik Pos Indonesia Awangga , Rezka; Politeknik Pos Indonesia Afriyanti
SVARA is the first Social Media audio application in Indonesia developed by PT. Zamrud Teknologi Khatulistiwa. At present, this application does not have feature settings to display content and other basic settings on the user's side. This situation results in users not having the role to manage the appearance of the dashboard according to their preferences. Settings are done entirely by administrators using scripts and must take APIs with regular PHP scripts. And this is very troublesome. So to give a role to the view of user management, the application needs to be made a dashboard setting feature as a follow-up. Through this paper, the researchers propose designing this dashboard feature using the User-Centered Design (UCD) method. The design results show that this method has a positive correlation with user involvement support in the application development process.
Volume: 17
Issue: 2
Page: 615-619
Publish at: 2019-04-01

A low-cost fiber based displacement sensor for industrial applications

10.12928/telkomnika.v17i2.9754
Siti Mahfuza; Universiti Teknologi Malaysia Saimon , Nor Hafizah; Universiti Tun Hussein Onn Malaysia Ngajikin , Muhammad Shafiq; Universiti Teknologi Malaysia Omar , Mohd Haniff; Universiti Teknologi Malaysia Ibrahim , Muhammad Yusof; Universiti Teknologi Malaysia Mohd Noor , Ahmad Sharmi; Universiti Teknologi Malaysia Abdullah , Mohd Rashidi; Universiti Teknologi Malaysia Salim
In this paper, a low-cost fiber optic displacement sensor (FODS) using a bundle of plastic optical fiber (POF) as a probe is developed and presented. The sensor consists of a high power light emitting diode (LED) as light source, a probe with multiple receiving plastic optical fiber and a photodiode detector. The sensor is characterized at millimeter distance and the sensor output is analyzed from 0 mm to 13 mm displacement. The sensitivity of the sensor is found to be 5.38 mV/mm over 2.6 mm sensing range. The sensor is very useful for close distance target since it is highly sensitive at the front slope. The low development cost, high degree of sensitivity and simplicity of the design make it suitable for wide range of industrial applications.
Volume: 17
Issue: 2
Page: 555-560
Publish at: 2019-04-01

Stochastic control for optimal power flow in islanded microgrid

10.11591/ijece.v9i2.pp1045-1057
Thang Diep-Thanh , Quang Nguyen-Phung , Huy Nguyen-Duc
The problem of optimal power flow (OPF) in an islanded mircrogrid (MG) for hybrid power system is described. Clearly, it deals with a formulation of an analytical control model for OPF. The MG consists of wind turbine generator, photovoltaic generator, and diesel engine generator (DEG), and is in stochastic environment such as load change, wind power fluctuation, and sun irradiation power disturbance. In fact, the DEG fails and is repaired at random times so that the MG can significantly influence the power flow, and the power flow control faces the main difficulty that how to maintain the balance of power flow? The solution is that a DEG needs to be scheduled. The objective of the control problem is to find the DEG output power by minimizing the total cost of energy. Adopting the Rishel’s famework and using the Bellman principle, the optimality conditions obtained satisfy the Hamilton-Jacobi-Bellman equation. Finally, numerical examples and sensitivity analyses are included to illustrate the importance and effectiveness of the proposed model.
Volume: 9
Issue: 2
Page: 1045-1057
Publish at: 2019-04-01

UDP Protocol for multi-task assignment in "void loop" robot soccer

10.12928/telkomnika.v17i2.11782
Irma; Telkom University Damayanti , Simon; Telkom University Siregar , Muhammad Ikhsan; Telkom University Sani
The communication system is a very important part of the robot soccer. It is because the robots must be able to move together, alternate and individual. The communication system that would be discussed is about the process of sending data from one robot to another robot using coach computer. It started with the reception of data from coach computer to both robots that had been installed Wi-Fi Communication module that had been connected to the router. Then, the data is processed using Arduino Mega2560. After that, the robot would detect the existence of the ball. The protocol used for the communication system is a UDP protocol (User Datagram Protocol) because UDP has several characteristics that support the occurrence of communication robots such as connection-less and unreliable. Both of characteristics have a faster connection, they do not require handshaking and UDP protocol provides a mechanism for sending a message to a specific process. The result shows that the communication system between coach computer and both robots is successful. This is indicated by the start button and stop button is 100% with repeating data transfer system on UDP protocol.
Volume: 17
Issue: 2
Page: 986-994
Publish at: 2019-04-01

Improving spectrogram correlation filters with time-frequency reassignment for bio-acoustic signal classification

10.11591/ijeecs.v14.i1.pp59-64
Salina Abdul Samad , Aqilah Baseri Huddin
Spectrogram features have been used to automatically classify animals based on their vocalization. Usually, features are extracted and used as inputs to classifiers to distinguish between species. In this paper, a classifier based on Correlation Filters (CFs) is employed where the input features are the spectrogram image themselves.  Spectrogram parameters are carefully selected based on the target dataset in order to obtain clear distinguishing images termed as call-prints. An even better representation of the call-prints is obtained using spectrogram Time-Frequency (TF) reassignment. To demonstrate the application of the proposed technique, two species of frogs are classified based on their vocalization spectrograms where for each species a correlation filter template is constructed from multiple call-prints using the Maximum Margin Correlation Filter (MMCF). The improved accuracy rate obtained with TF reassignment demonstrates that this is a viable method for bio-acoustic signal classification.
Volume: 14
Issue: 1
Page: 59-64
Publish at: 2019-04-01

Facial image retrieval on semantic features using adaptive mean genetic algorithm

10.12928/telkomnika.v17i2.3774
Marwan Ali; Universiti Malaysia Pahang Shnan , Taha H.; Universiti Malaysia Pahang Rassem , Nor Saradatul Akmar; Universiti Malaysia Pahang Zulkifli
The emergence of larger databases has made image retrieval techniques an essential component and has led to the development of more efficient image retrieval systems. Retrieval can either be content or text-based. In this paper, the focus is on the content-based image retrieval from the FGNET database. Input query images are subjected to several processing techniques in the database before computing the squared Euclidean distance (SED) between them. The images with the shortest Euclidean distance are considered as a match and are retrieved. The processing techniques involve the application of the median modified Weiner filter (MMWF), extraction of the low-level features using histogram-oriented gradients (HOG), discrete wavelet transform (DWT), GIST, and Local tetra pattern (LTrP). Finally, the features are selected using Adaptive Mean Genetic Algorithm (AMGA). In this study, the average PSNR value obtained after applying the Wiener filter was 45.29. The performance of the AMGA was evaluated based on its precision, F-measure, and recall, and the obtained average values were respectively 0.75, 0.692, and 0.66. The performance matrix of the AMGA was compared to those of particle swarm optimization algorithm (PSO) and genetic algorithm (GA) and found to perform better; thus, proving its efficiency.
Volume: 17
Issue: 2
Page: 882-896
Publish at: 2019-04-01
1 2 3
...
2091 2092
Show 1415 of 2092

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