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31,456 Article Results

New primitives of controlled elements F2/4 for block ciphers

10.11591/ijece.v10i5.pp5470-5478
Minh Nguyen Hieu , Duy Ho Ngoc , Canh Hoang Ngoc , Trung Dinh Phuong , Manh Tran Cong
This paper develops the cipher design approach based on the use of data-dependent operations (DDOs). A new class of DDO based on the advanced controlled elements (CEs) is introduced, which is proven well suited to hardware implementations for FPGA devices. To increase the hardware implementation efficiency of block ciphers, while using contemporary FPGA devices there is proposed an approach to synthesis of fast block ciphers, which uses the substitution-permutation network constructed on the basis of the controlled elements F2/4 implementing the 2 x 2 substitutions under control of the four-bit vector. There are proposed criteria for selecting elements F2/4 and results on investigating their main cryptographic properties. It is designed a new fast 128-bit block cipher MM-128 that uses the elements F2/4 as elementary building block. The cipher possesses higher performance and requires less hardware resources for its implementation on the bases of FPGA devices than the known block ciphers. There are presented result on differential analysis of the cipher MM-128
Volume: 10
Issue: 5
Page: 5470-5478
Publish at: 2020-10-01

Fault classification on transmission line using LSTM network

10.11591/ijeecs.v20.i1.pp231-238
Abdul Malek Saidina Omar , Muhammad Khusairi Osman , Mohammad Nizam Ibrahim , Zakaria Hussain , Ahmad Farid Abidin
Deep Learning has ignited great international attention in modern artificial intelligence techniques. The method has been widely applied in many power system applications and produced promising results. A few attempts have been made to classify fault on transmission lines using various deep learning methods. However, a type of deep learning called long short-term memory (LSTM) has not been reported in literature. Therefore, this paper presents fault classification on transmission line using LSTM network as a tool to classify different types of faults. In this study, a transmission line model with 400 kV and 100 km distance was modelled. Fault free and 10 types of fault signals are generated from the transmission line model. Fault signals are pre-processed by extracting post-fault current signals. Then, these signals are fed as input to the LSTM network and trained to classify 10 types of faults. The white Gaussian noise of level 20 dB and 30 dB signal to noise ratio (SNR) is also added to the fault current signals to evaluate the immunity of the proposed model. Simulation results show promising classification accuracy of 100%, 99.77% and 99.55% for ideal, 30 dB and 20 dB noise respectively. Results has been compared to four different methods which can be seen that the LSTM leading with the highest classification accuracy. In line with the purpose of the LSTM functions, it can be concluded that the method has a capability to classify fault signals with high accuracy.
Volume: 20
Issue: 1
Page: 231-238
Publish at: 2020-10-01

Excellent color quality of phosphor converted white light emitting diodes with remote phosphor geometry

10.12928/telkomnika.v18i5.13575
Thinh Cong; Ton Duc Thang University Tran , Nguyen Doan Quoc; Ton Duc Thang University Anh , Nguyen Thi Phuong; Posts and Telecommunications Institute of Technology, Loan
The remote phosphor structure is disadvantageous in color quality but more convenient in luminous flux when compared to conformal phosphor or in-cup phosphor structure. From this disadvantage, there are many studies to improve the color quality of the remote phosphor structure. This research will propose a dual-layer remote phosphor structure to improve color rendering index (CRI) and color quality scale (CQS) of WLEDs. The WLED package with color temperature of 8500 K is utilized in this study. The idea of the study is to locate a layer of phosphor green Y2O2S:Tb3+ or red ZnS:Sn2+ on the yellow phosphor YAG:Ce3+ film, and then finding the suitable added concentration of ZnS:Sn2+ to match the highest color quality. The results showed that ZnS:Sn2+ brings great benefits to increase CRI and CQS. The greater the ZnS:Sn2+ concentration is, the higher the CRI and CQS become owing to the rise in red light components in WLEDs. Meanwhile, the green Y2O2S:Tb3+ phosphor brings benefits to luminous flux. However, the decrease in luminous flux and color quality occurs when the concentration of ZnS:Sn2+ and Y2O2S:Tb3+ exceeds the corresponding level. This is proved by applying Mie-scattering theory and Lambert-Beer's law. The results of articles are important for WLEDs’ fabrication having higher white light quality.
Volume: 18
Issue: 5
Page: 2757-2763
Publish at: 2020-10-01

Precipitation prediction using recurrent neural networks and long short-term memory

10.12928/telkomnika.v18i5.14887
Mishka Alditya; Institut Teknologi Bandung Priatna , Esmeralda C.; Universitas Jenderal Achmad Yani Djamal
Prediction of meteorological variables such as precipitation, temperature, wind speed, and solar radiation is beneficial for human life. The variable observations data is available from time to time for more than thirty years, scattered each observation station makes the opportunity to map patterns into predictions. However, the complexity of weather variables is very high, one of which is influenced by Decadal phenomena such as El-Nino Southern Oscillation and IOD. Weather predictions can be reviewed for the duration, prediction variables, and observation stations. This research proposed precipitation prediction using recurrent neural networks and long short-term memory. Experiments were carried out using the prediction duration factor, the period as a feature and the amount of data set used, and the optimization model. The results showed that the time-lapse as a shorter feature gives good accuracy. Also, the duration of weekly predictions provides more accuracy than monthly, which is 85.71% compared to 83.33% of the validation data.
Volume: 18
Issue: 5
Page: 2525-2532
Publish at: 2020-10-01

An innovative IoT service for medical diagnosis

10.11591/ijece.v10i5.pp4918-4927
Safia Abbas
Due to the misdiagnose of diseases that increased recently in a scarily manner, many researchers devoted their efforts and deployed technologies to improve the medical diagnosis process and reducing the resulted risk. Accordingly, this paper proposed architecture of a cyber-medicine service for medical diagnosis, based internet of things (IoT) and cloud infrastructure (IaaS). This service offers a shared environment for medical data, and extracted knowledge and findings between patients and doctors in an interactive, secured, elastic and reliable way. It predicts the medical diagnosis and provides an appropriate treatment for the given symptoms and medical conditions based on multiple classifiers to assure high accuracy. Moreover, it entails different functionalities such as on-demand searching for scientific papers and diseases description for unrecognized combination of symptoms using web crawler to enrich the results. Where such searching results from crawler, are processed, analyzed and added to the resident knowledge base (KB) to achieve adaptability and subsidize the service predictive ability.
Volume: 10
Issue: 5
Page: 4918-4927
Publish at: 2020-10-01

An efficient color image compression technique

10.12928/telkomnika.v18i5.8632
Walaa M.; Jazan University Abd-Elhafiez , Wajeb; UMKC Gharibi , Mohamed; Sohag University Heshmat
We present a new image compression method to improve visual perception of the decompressed images and achieve higher image compression ratio. This method balances between the compression rate and image quality by compressing the essential parts of the image-edges. The key subject/edge is of more significance than background/non-edge image. Taking into consideration the value of image components and the effect of smoothness in image compression, this method classifies the image components as edge or non-edge. Low-quality lossy compression is applied to non-edge components whereas high-quality lossy compression is applied to edge components. Outcomes show that our suggested method is efficient in terms of compression ratio, bits per-pixel and peak signal to noise ratio.
Volume: 18
Issue: 5
Page: 2371-2377
Publish at: 2020-10-01

Non-convex constrained economic power dispatch with prohibited operating zones and piecewise quadratic cost functions

10.11591/ijece.v10i5.pp4469-4477
Shaimaa R. Spea
This paper is focused on the solution of the non-convex economic power dispatch problem with piecewise quadratic cost functions and practical operation constraints of generation units. The constraints of the economic dispatch problem are power balance constraint, generation limits constraint, prohibited operating zones and transmission power losses. To solve this problem, a meta-heuristic optimization algorithm named crow search algorithm is proposed. A constraint handling technique is also implemented to satisfy the constraints effectively. For the verification of the effectiveness and the superiority of the proposed algorithm, it is tested on 6-unit, 10-unit and 15-unit test systems. The simulation results and statistical analysis show the efficiency of the proposed algorithm. Also, the results confirm the superiority and the high-quality solutions of the proposed algorithm when compared to the other reported algorithms.
Volume: 10
Issue: 5
Page: 4469-4477
Publish at: 2020-10-01

Detecting Indonesian ambiguous sentences using Boyer-Moore algorithm

10.12928/telkomnika.v18i5.14027
Risky Aswi; Udayana University Ramadhani , I Ketut Gede Darma; Udayana University Putra , Made; Udayana University Sudarma , I.A.D.; Udayana University Giriantari
Ambiguous sentences are divided into 3 types namely phonetic, lexical, and grammatical. This study focuses on grammatical ambiguous sentences, grammatical ambiguous sentences are ambiguities that occur due to incorrect grammar, but this ambiguity will disappear once it is used within a sentence.  Ambiguous sentences become a big problem when they are processed by a computer. In order for the computer to interpret ambiguous words correctly, this study seeks to develop detection of Indonesian ammbiguous sentences using Boyer Moore algorithm. This algorithm matches ambiguous sentences that are inserted as input with the data set. Then the sentence is being detected whether it contains ambiguous sentences, by calculating the percentage of similarity using cosine similarity method. Cosine similarity system is able to find out the meaning of the sentence. In the data set, the number of ambiguous sentences that can be collected is 50 words. The 50 words consist of ambiguous words data, ambiguous sentences, and ambiguous sentence meanings. This system trial was carried out for 200 times and the accuracy level was 0.935, precision was 0.9320, and Recall was 0.8. While the F-Measure was 0.8061. While the speed for word search 0.003275 seconds.
Volume: 18
Issue: 5
Page: 2480-2487
Publish at: 2020-10-01

Design and implementation of HDL remote controller for smart home system

10.11591/ijeecs.v20.i1.pp117-124
I. H. Hamzah , M. S. Z. Suhaimi , A. A. Malik , A. F. A. Rahim
This work presents a design and development of a remote controller application using an Altera DE2-115 board. A remote controller lighting provides smart technologies make it viable to monitor, control and support users in which can enhance the quality life and promote independent living. Nowadays, to turn on the electrical devices, a user will go to the located switch. It is difficult and required more time to switch on the devices instead of staying at certain location while controlling the switching mode of the devices. Implementing this system, users do not need to have numerous switches in their home to turn on the lights as they can do this digitally from a switchless control located in one place or using a remote controller. The Altera board is built with eighteen slide switches which act as inputs and at the same time it will display the outputs on seven segments, LEDs and LCD display character. As a conclusion, the remote controller lighting system provides convenience and energy efficiency in order to allow the users to control the lighting system using smart devices. 
Volume: 20
Issue: 1
Page: 117-124
Publish at: 2020-10-01

TAMEx framework as an alternative for e-exam implementation in wireless network

10.12928/telkomnika.v18i5.15774
Gede; Udayana University Sukadarmika , Rukmi Sari; Udayana University Hartati , Linawati; Udayana University Linawati , Nyoman Putra; Udayana University Sastra
One of significant change in learning process is exam implementation applying a computer-based test (e-exam) rather than paper-based test. Many institutions currently use wireless network with bring your own device (BYOD) policy for their e-exam implementation, due to limitation of space and user terminals. Moreover it is hard to maintain the availability of reliable signal quality in wireless network for all users during e-exam process. Therefore, this research proposes a development of time adaptive for mobile exam (TAMEx) framework to provide all users with good quality of service of e-exam in wireless network environment when dealing with signal quality variations. The received signal strength indication (RSSI) is the main indicator of the signal quality. The framework supports e-exam implementation in wirelesslocal area network and the use of BYOD mechanism. The research shows that the framework successfully has provided time compensation for the users who experienced temporary connection loss due to bad signal quality. The result exhibits that tiny processing time has been needed for signal loss detection, user’s request of compensation time, and server’s execution. In conclusion, the TAMEx could guarantee good services for all users who doing e-exam in wireless network environment.
Volume: 18
Issue: 5
Page: 2304-2313
Publish at: 2020-10-01

Integrating IS success model with cybersecurity factors for e-government implementation in the Kingdom of Saudi Arabia

10.11591/ijece.v10i5.pp4937-4955
Mohammed AL-Zahrani
The electronic government (E-Gov) Systems are currently getting recognized as an authentic strategically tool in delivering E-services. Considering the development of information system (IS) as well as the expanding of the internet-based applications in KSA, E-Gov has always been a significant aspect in delivering governmental services. This research has adopted the (IS) success model by both DeLone and McLean (D&M), moreover, it adopted technology acceptance model (TAM) with cybersecurity factors, both models were implemented to discover the status of the IS success then investigate cybersecurity aspects that impact the service efficiency and effectiveness in KSA. Consequently, this research aims to create a model to investigate the IS success model along with cybersecurity factors that influence E-Gov services effectiveness and usage. Therefore, a survey has been applied as the major data gathering approach; the survey has been distributed among 211 users of E-Gov services consistently. Moreover, all research findings were attained through a quantitative method using the structural equation modelling (SEM). Findings revealed that the constructs fundamental of the (IS) success model are strongly influencing users' satisfaction (US) of the E-Gov services; correspondingly, the fundamental constructs factors of cybersecurity with TAM appear to have a strong impacts on perceived risk (PR), in addition, both which affect the E-Gov services towards usage and effectiveness.
Volume: 10
Issue: 5
Page: 4937-4955
Publish at: 2020-10-01

International Telecommunication Union-Radiocommunication Sector P.837-6 and P.837-7 performance to estimate Indonesian rainfall

10.12928/telkomnika.v18i5.14316
Marzuki; Andalas University Marzuki , Dea Kurnia; University of Andalas Harysandi , Rini; University of Andalas Oktaviani , Lisna; University of Andalas Meylani , Mutya; Andalas University Vonnisa , Harmadi; Andalas University Harmadi , Hiroyuki; Kyoto University Hashiguchi , Toyoshi; Shimane University Shimomai , L.; Informazione e Bioingegneria Luini , Sugeng; Indonesian Agency for Meteorological, Climatological and Geophysics Nugroho , Muzirwan; National Institute of Aeronautics and Space Muzirwan , Nor Azlan Mohd; Universiti Teknikal Malaysia Melaka (UTeM) Aris
This work evaluated the performance of International Telecommunication Union-Radiocommunication Sector (ITU-R) P.837-6 and P.837-7 models (Annex 1) to estimate one-minute rainfall rates in Indonesia. In addition to the default ITU-R P.837-6, the input of ITU-R P.837-6 is also modified using data which has better spatial resolution, i.e. a combination of Tropical Rainfall Measuring Mission (TRMM) 3A25 and 3B43 (ITU-R+3A25+3B43), 3B42 and 3B43 (ITU-R+3B42+3B43), Global Satellite Mapping of Precipitation (ITU-R+GSMaP), and Global Precipitation Measurement (ITU-R+GPM). Among the five test sites, the default ITU-R P.837-6 and ITU-R+3A25+3B43 could predict one-minute rainfall rates at two locations accurately. The ITU-R P.837-7 exhibited a marginally better performance for sites that had a high percentage of very heavy rain, particularly at large (1%) and small (0.001%) percentages of time exceeded. The spatial distribution of rainfall rate produced by ITU-R P.837-7 and ITU-R+3A25+3B43 was closer to the pattern demonstrated by recent satellite precipitation measurements.
Volume: 18
Issue: 5
Page: 2292-2303
Publish at: 2020-10-01

Abnormal activity detection in surveillance video scenes

10.12928/telkomnika.v18i5.16634
Jwan Jamal; Al-Mustansiriyah University Ali , Narjis Mezaal; Al-Mustansiriyah University Shati , Methaq; Al-Mustansiriyah University Talib Gaata
Automated detection of abnormal activity assumes a significant task in surveillance applications. This paper presents an intelligent framework video surveillance to detect abnormal human activity in an academic environment that takes into account the security and emergency aspects by focusing on three abnormal activities (falling, boxing and waving). This framework designed to consist of the two essential processes: the first one is a tracking system that can follow targets with identify sets of features to understand human activity and measure descriptive information of each target. The second one is a decision system that can realize if the activity of the target track is "normal" or "abnormal” then energizing alarm when recognized abnormal activities.
Volume: 18
Issue: 5
Page: 2447-2453
Publish at: 2020-10-01

Improving data quality using a deep learning network

10.11591/ijeecs.v20.i1.pp306-312
Chulhyun Hwang , Kyouhwan Lee , Hoekyung Jung
IoT data is collected in real time and is treated as highly reliable data because of its high precision. However, it often exhibits incomplete values for reasons such as sensor aging and failure, poor operating environment, and communication problems. The characteristics of IoT data transmitted with high precision and time series are suitable to use LSTM, which is one kind of RNN. In this paper, when applying LSTM to data quality improvement in IoT environment where data are collected simultaneously from several sensors, it is suggested that it is effective to construct LSTM individually for each sensor accuracy.
Volume: 20
Issue: 1
Page: 306-312
Publish at: 2020-10-01

On-chip ultra low power optical wake-up receiver for wireless sensor nodes targeting structural health monitoring

10.12928/telkomnika.v18i5.13378
Chia Yee; Universiti Teknikal Malaysia Melaka (UTeM) Saw , Yan Chiew; Universiti Teknikal Malaysia Melaka (UTeM) Wong , Ser Lee; Universiti Teknikal Malaysia Melaka (UTeM) Loh , Haoyu; Zhejiang Ocean University Zhang
Wireless sensor network (WSN) consists of distributed nodes deployed for monitoring the physical conditions and organizing collected data at the central control unit. Power consumption is the challenges in WSN as the network consists of wireless sensor nodes becomes denser. By utilizing WSN and visible light technology, a simple health monitoring system design can be approached that are smaller in size, faster and lower power consumption. This work focuses on design a low power optical wake-up receiver to reduce the energy consumption of each node in WSN. A wake-up receiver is designed to be always-on for detecting incoming signal and switches on the stand by protocol controller and WSN network for data transmission process. The characteristic of optical transmission and functional circuit of a wake-up receiver has been investigated. A low power optical wake-up receiver has been designed in 180nm Silterra CMOS process technology. The proposed wake-up receiver consumes only 443pW in standby mode and 1.89nW in active mode. The proposed optical wake-up receiver drastically reduces the power consumption by more than one third compared to other wake-up receivers which could be a milestone in the medical field if successfully conducted.
Volume: 18
Issue: 5
Page: 2257-2264
Publish at: 2020-10-01
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