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29,922 Article Results

Feature extraction of Jabon (Anthocephalus sp) leaf disease using discrete wavelet transform

10.12928/telkomnika.v18i2.10714
Felliks Feiters; Bogor Agricultural University Tampinongkol , Yeni; Bogor Agricultural University Herdiyeni , Elis Nina; Bogor Agricultural University Herliyana
Jabon (Anthocephalus cadamba (Roxb.) Miq) is one type of forest plants that have very rapid growth until the process of the harvest. One inhibitor is a disease that attacks the leaves in the form of spots and blight that can cause death during the growth process of this tree. The purpose of this process is to detect the object of diseases that attack the leaves of jabon at the time in the nursery. Images of affected jabon leaf disease segmented by reducing the RGB color cylinders to separate the disease object from the background. Reduced channel G-R provides information in the form of disease areas contained in the image of Jabon leaf. Furthermore, the characteristics of leaf disease can be detected well using DWT in the 3-level decomposition process with SVM classification results that can separate both classes of spots and blight by 84.672%.
Volume: 18
Issue: 2
Page: 740-751
Publish at: 2020-04-01

Foreign exchange prediction based on indices and commodities price using convolutional neural network

10.11591/ijeecs.v18.i1.pp494-501
Rian Rassetiadi , Suharjito Suharjito
The level of accuracy in predicting is the key in conducting forex trading activities in gaining profits. Some predictions are made only by using historical currency data to be predicted, this makes predictions less accurate because they do not consider external influences. This study examines external factors that can influence the results of predictions, by looking for the relationship between the value of indices such as NTFSE and S & P 500 and the value of commodities such as gold and silver to the prediction process of EUR / USD. Prediction carried out using a deep learning algorithm with the Convolutional Neural Network method uses 2 1-dimensional convolution layers with ReL activation. The data used is the value of Open, High, Low and Close prices on forex, indices and commodities which are combined into one with the close forex value target for the next 5 days. Testing of EUR / USD test data only gets MSE results of 0.00081894. While the results of testing of the combined test data between EUR / USD, indices and commodities producing MSE vary between 0.00068717 to 0.0109606 where the best combination is a combination of FTSE 100 and Natural Gas values. So it can be concluded that other factors included in predicting have an influence on the results obtained.
Volume: 18
Issue: 1
Page: 494-501
Publish at: 2020-04-01

Projective and hybrid projective synchronization of 4-D hyperchaotic system via nonlinear controller strategy

10.12928/telkomnika.v18i2.14664
Zaidoon Sh.; University of Mosul Al-Talib , Saad Fawzi; University of Mosul Al-Azzawi
Nonlinear control strategy was established to realize the Projective Synchronization (PS) and Hybrid Projective Synchronization (HPS) for 4-D hyperchaotic system at different scaling matrices. This strategy, which is able to achieve projective and hybrid projective synchronization by more precise and adaptable method to provide a novel control scheme. On First stage, three scaling matrices were given in order to achieving various projective synchronization phenomena. While the HPS was implemented at specific scaling matrix in the second stage.  Ultimately, the precision of controllers were compared and analyzed theoretically and numerically. The long-range precision of the proposed controllers are confirmed by third stage.
Volume: 18
Issue: 2
Page: 1012-1020
Publish at: 2020-04-01

The development of a wireless LCP-based intracranial pressure sensor for traumatic brain injury patients

10.11591/ijece.v10i2.pp1229-1238
Preedipat Sattayasoonthorn , Jackrit Suthakorn , Sorayouth Chamnanvej M.D
Raised intracranial pressure (ICP) in traumatic brain injury (TBI) patients can lead to death. ICP measurement is required to monitor the condition of a patient and to inform TBI treatment. This work presents a new wireless liquid crystal polymer (LCP) based ICP sensor. The sensor is designed with the purpose of measuring ICP and wirelessly transmitting the signal to an external monitoring unit. The sensor is minimally invasive and biocompatible due to the mechanical design and the use of LCP. A prototype sensor and associated wireless module are fabricated and tested to demonstrate the functionality and performance of the wireless LCP-based ICP sensor. Experimental results show that the wireless LCP-based ICP sensor can operate in the pressure range of 0 - 60.12 mmHg. Based on repeated measurements, the sensitivity of the sensor is found to be 25.62 µVmmHg-1, with a standard deviation of ± 1.16 µVmmHg-1. This work represents a significant step towards achieving a wireless, implantable, minimally invasive ICP monitoring strategy for TBI patients.
Volume: 10
Issue: 2
Page: 1229-1238
Publish at: 2020-04-01

Improving accuracy of Part-of-Speech (POS) tagging using hidden markov model and morphological analysis for Myanmar Language

10.11591/ijece.v10i2.pp2023-2030
Dim Lam Cing , Khin Mar Soe
In Natural Language Processing (NLP), Word segmentation and Part-of-Speech (POS) tagging are fundamental tasks. The POS information is also necessary in NLP’s preprocessing work applications such as machine translation (MT), information retrieval (IR), etc. Currently, there are many research efforts in word segmentation and POS tagging developed separately with different methods to get high performance and accuracy. For Myanmar Language, there are also separate word segmentors and POS taggers based on statistical approaches such as Neural Network (NN) and Hidden Markov Models (HMMs). But, as the Myanmar language's complex morphological structure, the OOV problem still exists. To keep away from error and improve segmentation by utilizing POS data, segmentation and labeling should be possible at the same time.The main goal of developing POS tagger for any Language is to improve accuracy of tagging and remove ambiguity in sentences due to language structure. This paper focuses on developing word segmentation and Part-of- Speech (POS) Tagger for Myanmar Language. This paper presented the comparison of separate word segmentation and POS tagging with joint word segmentation and POS tagging.
Volume: 10
Issue: 2
Page: 2023-2030
Publish at: 2020-04-01

DWT-SMM-based audio steganography with RSA encryption and compressive sampling

10.12928/telkomnika.v18i2.14833
Fikri; Telkom University Adhanadi , Ledya; Telkom University Novamizanti , Gelar; Telkom University Budiman
Problems related to confidentiality in information exchange are very important in the digital computer era. Audio steganography is a form of a solution that infuses information into digital audio, and utilizes the limitations of the human hearing system in understanding and detecting sound waves. The steganography system applies compressive sampling (CS) to the process of acquisition and compression of bits in binary images. Rivest, Shamir, and Adleman (RSA) algorithms are used as a system for securing binary image information by generating encryption and decryption key pairs before the process is embedded. The insertion method uses statistical mean manipulation (SMM) in the wavelet domain and low frequency sub-band by dividing the audio frequency sub-band using discrete wavelet transform (DWT) first. The optimal results by using our system are the signal-to-noise ratio (SNR) above 45 decibel (dB) and 5.3833 bit per second (bps) of capacity also our system has resistant to attack filtering, noise, resampling and compression attacks.
Volume: 18
Issue: 2
Page: 1095-1104
Publish at: 2020-04-01

Physical security with power beacon assisted in half-duplex relaying networks over Rayleigh fading channel: performance analysis

10.12928/telkomnika.v18i2.15857
Phu Tran; Industrial University of Ho Chi Minh City Tin , Duy-Hung; Ton Duc Thang University Ha , Luu Gia; Posts and Telecommunications Institute of Technology Ho Chi Minh City Campus Thien , Tran Thanh; National Key Laboratory of Digital Control and System Engineering Trang
In this research, we proposed and investigated physical security with power beacon assisted in half-duplex relaying networks over a Rayleigh fading channel. In this model, the source (S) node communicates with the destination (D) node via the helping of the intermediate relay (R) node. The D and R nodes harvest energy from the power beacon (PB) node in the presence of a passive eavesdropper (E) node. Then we derived the integral form of the system outage probability (OP) and closed form of the intercept probability (IP). The correctness of the analytical of the OP and IP is verified by the Monte Carlo simulation. The influence of the main system parameters on the OP and IP also is investigated. The research results indicated that the analytical results are the same as the simulation ones.
Volume: 18
Issue: 2
Page: 1072-1078
Publish at: 2020-04-01

Integration of IoT and chatbot for aquaculture with natural language processing

10.12928/telkomnika.v18i2.14788
M.; Politeknik Elektronika Negeri Surabaya (PENS) Udin Harun Al-Rasyid , Sritrusta; Politeknik Elektronika Negeri Surabaya (PENS) Sukaridhoto , Muhammad Iskandar; Politeknik Elektronika Negeri Surabaya (PENS) Dzulqornain , Ahmad; Politeknik Elektronika Negeri Surabaya (PENS) Rifai
The development of internet of things (IoT) technology is very fast lately. One sector that can be implemented by IoT technology is the aquaculture sector. One important factor in the success of aquaculture is a good and controlled water quality condition. But the problem for the traditional aquaculture farmers is to monitor and increase the water quality quickly and efficiently. To resolve the above-mentioned problem, this paper proposes a real-time monitoring system for aquaculture and supported with chatbot assistant to facilitate the user. This system was composed of IoT system, cloud system, and chatbot system. The proposed system consists of 7 main modules: smart sensors, smart aeration system, local network system, cloud computing system, client visualization data, chatbot system, and solar powered system. The smart aeration system consists of NodeMCU, relay, and aerator. The smart sensors consist of several sensors such as dissolved oxygen, pH, temperature, and water level sensor. Natural language processing is implemented to build the chatbot system. By combining text mining processing with naive Bayes algorithm, the result shows the very good performance with high precision and recall for each class to monitor the quality of water in aquaculture sector.
Volume: 18
Issue: 2
Page: 640-648
Publish at: 2020-04-01

Miniaturized UWB elliptical patch antenna for skin cancer diagnosis imaging

10.11591/ijece.v10i2.pp1422-1429
Sameer Alani , Zahriladha Zakaria , A. Ahmad
The biomedical imaging shows promising results in many applications such as protein characterization and cancer detection using non-ionizing radiation. Skin cancer is one of the most common types of cancer because it is exposed by sun rays during the day. Many techniques have been offered to detect the tumor in the early stage such as ultrasonic and MW imaging. However, most of these studies showed a large printing area with lower BW so as the low resolution. To overcome these drawbacks, a new low profile UWB elliptical patch antenna with high performance is designed on PTFE as a substrate. Then a layer of Indium Tin Oxide (ITO) applies to improve the antenna radiation characteristics. The proposed antenna has a broad BW from 3.9 GHz to 30 GHz along with a resonance at 2.4 GHz. Furthermore, the antenna presents a maximum gain of 7.3 dB, maximum directivity of 7.78 dBi, the maximum radiation efficiency of 92 %, and consistent, stable radiation pattern throughout the frequency band. Besides, the time-domain characteristics show that the antenna can be a suitable candidate for microwave imaging of skin cancer.
Volume: 10
Issue: 2
Page: 1422-1429
Publish at: 2020-04-01

Objects detection and tracking using fast principle component purist and kalman filter

10.11591/ijece.v10i2.pp1317-1326
Hadeel N. Abdullah , Nuha H. Abdulghafoor
The detection and tracking of moving objects attracted a lot of concern because of the vast computer vision applications. This paper proposes a new algorithm based on several methods for identifying, detecting, and tracking an object in order to develop an effective and efficient system in several applications. This algorithm has three main parts: the first part for background modeling and foreground extraction, the second part for smoothing, filtering and detecting moving objects within the video frame and the last part includes tracking and prediction of detected objects. In this proposed work, a new algorithm to detect moving objects from video data is designed by the Fast Principle Component Purist (FPCP). Then we used an optimal filter that performs well to reduce noise through the median filter. The Fast Region-convolution neural networks (Fast-RCNN) is used to add smoothness to the spatial identification of objects and their areas. Then the detected object is tracked by Kalman Filter. Experimental results show that our algorithm adapts to different situations and outperforms many existing algorithms.
Volume: 10
Issue: 2
Page: 1317-1326
Publish at: 2020-04-01

Controlling a knee CPM machine using PID and iterative learning control algorithm

10.12928/telkomnika.v18i2.14876
Dechrit; Rajamanggala University of Technology Thanyaburi Pathumtani Maneetham , Petrus; Politeknik Mekatronika Sanata Dharma Sutyasadi
A conventional continuous passive motion (CPM) machine uses simple controller such as On/Off controller. Some better CPMs use PID controller. These kind of CPMs can not distinguish load different due to the different size of the patient leg. This may cause the CPM no longer follow the trajectory or the angle commands. Meanwhile, each patient may have different scenario of therapy from the others. When progress on the patient exists, the range of the flexion may be increased step by step. Therefore, the treatment can be different in term of the range of flexion from time to time. This paper proposes CPM with hybrid proportional integral derivative (PID) and iterative learning controller (ILC). The system has capability in learning the trajectory tracking. Therefore, the CPM will be able to follow any load or trajectory changes applied to it. The more accurate CPM machine can follow the trajectory command, the better its performance for the treatment. The experiment showed that the system was stable due to the PID controller. The tracking performance also improved with the ILC even there exist some disturbances.
Volume: 18
Issue: 2
Page: 1047-1053
Publish at: 2020-04-01

Benchmark and comparison between hyperledger and MySQL

10.12928/telkomnika.v18i2.13743
Onno W.; Institut Informatika dan Bisnis Darmajaya Purbo , Sriyanto; Institut Informatika dan Bisnis Darmajaya Sriyanto , Suhendro; Institut Informatika dan Bisnis Darmajaya Suhendro , Rz Abd.; Institut Informatika dan Bisnis Darmajaya Aziz , Riko; Institut Informatika dan Bisnis Darmajaya Herwanto
In this paper, we report the benchmarking results of Hyperledger,  a Distributed Ledger, which is the derivation Blockchain Technology.  Method to evaluate Hyperledger in a limited infrastructure is developed. Themeasured infrastructure consists of 8 nodes with a load of up to 20000 transactions/second. Hyperledger consistently runs all evaluation, namely, for 20,000 transactions, the run time 74.30s, latency 73.40ms latency, and 257 tps. The benchmarking of Hyperledger shows better than a database system in a high workload scenario. We found that the maximum size data volume in one transaction on the Hyperledger network is around ten (10) times of MySQL. Also, the time spent on processing a single transaction in the blockchain network is 80-200 times faster than MySQL. This initial analysis can provide an overview for practitioners in making decisions about the adoption of blockchain technology in their IT systems.
Volume: 18
Issue: 2
Page: 705-715
Publish at: 2020-04-01

Transmission line short circuit analysis by impedance matrix method

10.11591/ijece.v10i2.pp1712-1721
Boniface Onyemaechi Anyaka , Innocent Onyebuchi Ozioko
Fault analysis is the process of determining the magnitude of fault voltage and current during the occurrence of different types of fault in electrical power system. Transmission line fault analysis is usually done for both symmetrical and unsymmetrical faults. Symmetrical faults are called three-phase balance fault while unsymmetrical faults include: single line-to-ground, line-to-line, and double line-to-ground faults. In this research, bus impedance matrix method for fault analysis is presented. Bus impedance matrix approach has several advantages over Thevenin’s equivalent method and other conventional approaches. This is because the off-diagonal elements represent the transfer impedance of the power system network and helps in calculating the branch fault currents during a fault. Analytical and simulation approaches on a single line-to-ground fault on 3-bus power system network under bolted fault condition were used for the study. Both methods were compared and result showed negligible deviation of 0.02% on the average. The fault currents under bolted condition for the single line-to-ground fault were found to be 4. 7244p.u while the bus voltage is 0. 4095p.u for buses 1 and 2 respectively and 0. 00p.u for bus 3 since the fault occurred at this bus. Therefore, there is no need of burdensomely connecting the entire three sequence network during fault analysis in electrical power system.
Volume: 10
Issue: 2
Page: 1712-1721
Publish at: 2020-04-01

Scheme for motion estimation based on adaptive fuzzy neural network

10.12928/telkomnika.v18i2.14752
Fredy; Universidad Distrital Francisco José de Caldas Martinez , Cristian; Universidad Distrital Francisco José de Caldas Penagos , Luis; Universidad Distrital Francisco José de Caldas Pacheco
Many applications of robots in collaboration with humans require the robot to follow the person autonomously. Depending on the tasks and their context, this type of tracking can be a complex problem. The paper proposes and evaluates a principle of control of autonomous robots for applications of services to people, with the capacity of prediction and adaptation for the problem of following people without the use of cameras (high level of privacy) and with a low computational cost. A robot can easily have a wide set of sensors for different variables, one of the classic sensors in a mobile robot is the distance sensor. Some of these sensors are capable of collecting a large amount of information sufficient to precisely define the positions of objects (and therefore people) around the robot, providing objective and quantitative data that can be very useful for a wide range of tasks, in particular, to perform autonomous tasks of following people. This paper uses the estimated distance from a person to a service robot to predict the behavior of a person, and thus improve performance in autonomous person following tasks. For this, we use an adaptive fuzzy neural network (AFNN) which includes a fuzzy neural network based on Takagi-Sugeno fuzzy inference, and an adaptive learning algorithm to update the membership functions and the rule base. The validity of the proposal is verified both by simulation and on a real prototype. The average RMSE of prediction over the 50 laboratory tests with different people acting as target object was 7.33.
Volume: 18
Issue: 2
Page: 1030-1037
Publish at: 2020-04-01

Rogowski coil sensor in the digitization process to detect partial discharge

10.12928/telkomnika.v18i2.14282
Eka Putra; Universitas Andalas Waldi , Asri Indah; Universitas Andalas Lestari , Rudy; Universitas Andalas Fernandez , Syaifa; Universitas Andalas Mulyadi , Yoshinobu; Toyohashi University of Technology Murakami , Naohiro; Toyohashi University of Technology Hozumi
This paper presents the construction of a Rogowski Coil sensor with an air core to detect partial discharge using a digital oscilloscope. Two types of sensors are used. The first is the primary sensor winding with back wire, and the second is without back wire, labeled BW and WBW, respectively. The numbers of primary-turn in the sensors are 5, 10, 20, and 40 turns. The performance of the sensors is tested using two types of tests. First, the wave response test with a fixed imitation partial discharge magnitude input is used to select the optimum sensitivity with the lower sampling rate, aims to select the peak or valley value as a magnitude partial discharge value. The second test is using an imitation partial discharge ramp to check the linearity of the sensors. The imitation of the partial discharge inputs is generated by a commercial charge calibrator. The wave response test results show an increase in the number of turns that corresponds to an increase of the sensor output for both sensors in a non-linear trend. In determining the sampling rate, the detection of magnitude in the valley is better than the peak. All sensors act linear toward the imitation partial discharge ramp either in BW or WBW conditions.
Volume: 18
Issue: 2
Page: 1062-1071
Publish at: 2020-04-01
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