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30,376 Article Results

File Reconstruction in Digital Forensic

10.12928/telkomnika.v16i2.8230
Opim Salim; Universitas Sumatera Utara Sitompul , Andrew; Universitas Sumatera Utara Handoko , Romi Fadillah; Universitas Sumatera Utara Rahmat
File recovery is one of the stages in computer forensic investigative process to identify an acquired file to be used as digital evident. The recovery is performed on files that have been deleted from a file system. However, in order to recover a deleted file, some considerations should be taken. A deleted file is potentially modified from its original condition because another file might either partly or entirely overriding the file content. A typical approach in recovering deleted file is to apply Boyer-Moore algorithm that has rather high time complexity in terms of string searching. Therefore, a better string matching approach for recovering deleted file is required. We propose Aho-Corasick parsing technique to read file attributes from the master file table (MFT) in order to examine the file condition. If the file was deleted, then the parser search the file content in order to reconstruct the file. Experiments were conducted using several file modifications, such as 0% (unmodified), 18.98%, 32.21% and 9.77%. From the experimental results we found that the file reconstruction process on the file system was performed successfully. The average successful rate for the file recovery from four experiments on each modification was 87.50% and for the string matching process average time on searching file names was 0.32 second.
Volume: 16
Issue: 2
Page: 776-794
Publish at: 2018-04-01

Investigations of Component Carrier Selection Algorithms in Long Term Evolution-Advanced

10.11591/ijeecs.v10.i1.pp330-336
Huda Adibah Mohd Ramli , Ani Liza Asnawi , Farah Nadia Mohd Isa , Amelia Wong Azman , Mohamad ‘Ismat Hafizi Mansor
Given that the demand for real-time multimedia contents that require significantly high data rate are getting of high popularity, a new mobile cellular technology known as Long term Evolution-Advanced (LTE-A) was standardized. The LTE-A is envisaged to support high peak data rate by aggregating more than one Component Carriers (CCs) of the same or different frequency bandwidths. Since the inter-band non-contiguous carrier aggregation is likely to be used due to the current frequency allocation, this paper provides a performance study of a number of CC selection algorithms for use in the inter-band non-contiguous downlink LTE-A. It should be noted that CC selection is of paramount importance in the LTE-A operating in backward compatible mode as the LTE-A contains a mixture of the legacy Long Term Evolution (LTE) users that support packets (re)transmission on a single CC and the LTE-A users that utilize more than one CCs for packets (re)transmission. Simulation results demonstrated the efficacy of the Channel-Throughput Aware (CTA) algorithm for maximizing the system capacity without compromising the required Quality of Service of real-time video users.
Volume: 10
Issue: 1
Page: 330-336
Publish at: 2018-04-01

Detection of Malicious Circuitry using Transition Probability Based Node Reduction Technique

10.12928/telkomnika.v16i2.6812
Nirmala Devi; Amrita University M. , Irene Susan; Amrita University Jacob , Sree; Amrita University Ranjani R , Jayakumar; Amrita University M.
In recent years, serious concerns have been raised against the tampering of integrated circuits due to outsourcing of circuits for fabrication. It has led to the addition of malicious circuitry known as Hardware Trojan. In this paper, a transition probability based node reduction technique for faster and efficient Hardware Trojan (HT) detection has been attempted. In the proposed method, the fact that the least controllable and observable nodes or the nodes with least transition probability are more vulnerable as Trojan sites is taken into consideration. The nodes that have lesser activity than the threshold are the candidate nodes. At each candidate node, segmentation is done for further leakage power analysis to detect the presence of Trojans. Experimental results observed on ISCAS’85 and ISCAS’89 benchmark circuits illustrate that the proposed work can achieve remarkable node reduction upto 78.81% and time reduction upto 58.7%. It was also observed that the circuit activity can be increased by varying the input probability. Hence, for further reduction in the Trojan activation time, the weighted input probability was obtained.
Volume: 16
Issue: 2
Page: 573-579
Publish at: 2018-04-01

A Specific Routing Protocol for Flying Adhoc Network

10.12928/telkomnika.v16i2.8444
Bashir Olaniyi; Ahmadu Bello University Zaria Sadiq , Adewale Emmanuel; Ahmadu Bello University Zaria Adedokun , Mohammad Bashir; Ahmadu Bello University Zaria Mu’azu , Yusuf Abubakar; University of Manchester Sha’aban
This paper presents a novel data and timed control routing protocol which is Flying Adhoc Network (FANET) specific. The developed FANET specific routing protocol laid emphasis on the route connectivity in the network by considering the captured data size, minimum allowable distance between randomly moving nodes and connection time. The performance of the proposed FANET specific routing protocol was simulated using NS3. The obtained throughput value for the routing protocol fluctuated between 742.064kbps and 755.083kbps as data are exchanged between nodes. This showed that when all the UAVs are on the network and communicating with one another, the throughput is flatline and not plummet. This implies consistency as nodes join and leave the network. The packet delivery ratio obtained for the FSRP during simulation was 96.13%. These results implied that data is successfully transmitted between the UAV acting as server and UAV acting as client on the network.
Volume: 16
Issue: 2
Page: 606-617
Publish at: 2018-04-01

Characterization of Respiratory Conditions Using Labview and Digital Spirometer

10.11591/ijeecs.v10.i1.pp66-73
S. Noorjannah Ibrahim , A. Z. Jusoh , N. Abdul Malik , A. L. Asnawi , S. Mazalan
One of the effective ways to diagnose various respiratory diseases is using spirometry test. Good spirometer comes with excellent graphical user interface. Spirometer is used to measure lung parameters such as Forced Expiratory Volume in the first second and the sixth seconds (FEV1 and FEV6). This paper presents an algorithm with Graphical User Interface (GUI) for characterization of respiratory conditions using LabVIEW Software. The whole spirometry system consists of a breathing circuitry with pressure sensor and a data acquisition board (NI sbRIO FPGA board). Results obtained from three different volunteers with different health performances are also presented in this paper. The FEV1/FEV6 ratio of a healthy volunteer is 81.1%, an asthma volunteer is 72.04%, and suspected bronchitis volunteer is 33.4%. Based on these results, the unhealthy volunteers tend to have smaller value of FEV1 with lower area under the curve when compared to healthy volunteer.
Volume: 10
Issue: 1
Page: 66-73
Publish at: 2018-04-01

Slot Loaded Capacitive fed Suspended RMSA with Meandered Ground Plane

10.11591/ijict.v7i1.pp49-56
Ravi M. Yadahalli , Nandini M. Ammanagi
In this paper, variations in the Capacitive fed suspended RMSA configurations have been proposed. Initially, the reference antenna consists of rectangular patch of size of (35.5 X 45.6) mm2 and a small rectangular feed patch of size of (1.4 X 4) mm2 residing on the same substrate suspended above the ground plane. Coaxial probe is used to feed the small patch which in turn excites the radiator patch electromagnetically, yielding a large impedance bandwidth (BW) of 39%, with good gain and broadside radiation pattern.  By, meandering the ground plane of reference antenna with three rectangular slots, the prototype antenna is fabricated and measurement has been carried out to validate the result for compact broadband response. Later, by loading a pair of rectangular slots in the radiating patch of the reference antenna in addition to the rectangular slots in the ground plane, the prototype antenna is fabricated and measurement has been carried out to validate the result for compact dual band response.
Volume: 7
Issue: 1
Page: 49-56
Publish at: 2018-04-01

Trash Basket Sensor Notification Using Arduino with Android Application

10.11591/ijeecs.v10.i1.pp120-128
Adel ALFoudery , Abdulrahman Abdullah Alkandari , Nayfah Mohsen Almutairi
The protection of society and environment from garbage accumulation and its polluting effects is carried by waste management companies, the services provided by these companies are improving life overall quality. By preserving raw materials, proper collecting and elimination of trash have reduced pollution and environmental impact. On the other hand, areas which are suffered from inappropriate negative service appreciate the garbage collector’s valuable efforts. Appropriate garbage collection and management facilities have made a recycling process improvement which caused a reduction in waste generation. Also controlling the released contaminators and pollutants has decreased the impact on landfills and protected the environment from the pollution negative effects. Using mobile and electronic technology to enable waste management companies to finish its work and make it easier for collecting trash in a simple and an easy way. We introduce Trash Sensor Android Application to help waste management companies detect trash levels to collect it and help citizens from undesired odours.
Volume: 10
Issue: 1
Page: 120-128
Publish at: 2018-04-01

Real Time Face Recognition Based on Face Descriptor and Its Application

10.12928/telkomnika.v16i2.7418
I Gede Pasek Suta; Mataram University Wijaya , Ario Yudo; Mataram University Husodo , I Wayan Agus; Mataram University Arimbawa
This paper presents a real time face recognition based on face descriptor and its application for door locking. The face descriptor is represented by both local and global information. The local information, which is the dominant frequency content of sub-face, is extracted by zoned discrete cosine transforms (DCT). While the global information, which also is the dominant frequency content and shape information of the whole face, is extracted by DCT and by Hu-moment. Therefore, face descriptor has rich information about a face image which tends to provide good performance for real time face recognition. To decrease the dimensional size of face descriptor, the predictive linear discriminant analysis (PDLDA) is employed and the face classification is done by kNN. The experimental results show that the proposed real time face recognition provides good performances which indicated by 98.30%, 21.99%, and 1.8% of accuracy, FPR, and FNR respectively. In addition, it also needs short computational time (1 second).
Volume: 16
Issue: 2
Page: 739-746
Publish at: 2018-04-01

Tree Physiology Optimization in Constrained Optimization Problem

10.12928/telkomnika.v16i2.9021
A. Hanif; Universiti Teknologi PETRONAS Halim , I.; Universiti Teknologi PETRONAS Ismail
Metaheuristic algorithms are proven to be more effective on finding global optimum in numerous problems including the constrained optimization area. The algorithms have the capacity to prevail over many deficiencies in conventional algorithms. Besides of good quality of performance, some metaheuristic algorithms have limitations that may deteriorate by certain degree of difficulties especially in real-world application. Most of the real-world problems consist of constrained problem that is significantly important in modern engineering design and must be considered in order to perform any optimization task. Therefore, it is essential to compare the performance of the algorithm in diverse level of difficulties in constrained region. This paper introduces Tree Physiology Optimization (TPO) algorithm for solving constrained optimization problem and compares the performance with other existing metaheuristic algorithms. The constrained problems that are included in the comparison are three engineering design and nonlinear mathematic problems. The difficulties of each proposed problem are the function complexity, number of constraints, and dimension of variables. The performance measure of each algorithm is the statistical results of finding the global optimum and the convergence towards global optimum.
Volume: 16
Issue: 2
Page: 876-882
Publish at: 2018-04-01

Secure E-voting System by Utilizing Homomorphic Properties of the Encryption Algorithm

10.12928/telkomnika.v16i2.8420
Rifki; Telkom University Suwandi , Surya Michrandi; Telkom University Nasution , Fairuz; Telkom University Azmi
The use of cryptography in the e-voting system to secure data is a must to ensure the authenticity of the data. In contrast to common encryption algorithms, homomorphic encryption algorithms had unique properties that can perform mathematical operations against ciphertext. This paper proposed the use of the Paillier and Okamoto-Uchiyama algorithms as two homomorphic encryption algorithms that have the additional properties so that it can calculate the results of voting data that has been encrypted without having to be decrypted first. The main purpose is to avoid manipulation and data falsification during vote tallying process by comparing the advantages and disadvantages of each algorithm.
Volume: 16
Issue: 2
Page: 862-867
Publish at: 2018-04-01

Cyber Threat Intelligence – Issue and Challenges

10.11591/ijeecs.v10.i1.pp371-379
Md Sahrom Abu , Siti Rahayu Selamat , Aswami Ariffin , Robiah Yusof
Today threat landscape evolving at the rapid rate with many organization continuously face complex and malicious cyber threats. Cybercriminal equipped by better skill, organized and well-funded than before. Cyber Threat Intelligence (CTI) has become a hot topic and being under consideration for many organization to counter the rise of cyber-attacks. The aim of this paper is to review the existing research related to CTI. Through the literature review process, the most basic question of what CTI is examines by comparing existing definitions to find common ground or disagreements. It is found that both organization and vendors lack a complete understanding of what information is considered to be CTI, hence more research is needed in order to define CTI. This paper also identified current CTI product and services that include threat intelligence data feeds, threat intelligence standards and tools that being used in CTI. There is an effort by specific industry to shared only relevance threat intelligence data feeds such as Financial Services Information Sharing and Analysis Center (FS-ISAC) that collaborate on critical security threats facing by global financial services sector only. While research and development center such as MITRE working in developing a standards format (e.g.; STIX, TAXII, CybOX) for threat intelligence sharing to solve interoperability issue between threat sharing peers. Based on the review for CTI definition, standards and tools, this paper identifies four research challenges in cyber threat intelligence and analyses contemporary work carried out in each. With an organization flooded with voluminous of threat data, the requirement for qualified threat data analyst to fully utilize CTI and turn the data into actionable intelligence become more important than ever. The data quality is not a new issue but with the growing adoption of CTI, further research in this area is needed.
Volume: 10
Issue: 1
Page: 371-379
Publish at: 2018-04-01

A Technical Review of BMS Performance Standard for Electric Vehicle Applications in Indonesia

10.12928/telkomnika.v16i2.7930
Wahyudi; Sebelas Maret University Sutopo , Budhy; Sebelas Maret University Rahmawatie , Fakhrina; Sebelas Maret University Fahma , Muhammad; Sebelas Maret University Nizam , Agus; Sebelas Maret University Purwanto , B.B; BSN, Jakarta Louhenapessy , Evizal; Universitas Islam Riau Abdul Kadir
The development of Battery Management System (BMS) standards in Indonesia has been carried out causing the FACTS approach. That's approach makes it possible to accommodate all stakeholder requirements. However, the approach has not yet considered a technical review of the regulated standards. Based on this, this study undertook a comprehensive review of BMS performance parameters set out in the standard. In order that the regulated standards not only accommodate the needs of stakeholders but also consider BMS technical studies in order not to impede the future development of BMS.
Volume: 16
Issue: 2
Page: 544-549
Publish at: 2018-04-01

Identification of Canaries Bird’s Chirp Quality Using Statistic Analysis, Sound Analysis and Fuzzy Mamdani Method

10.12928/telkomnika.v16i2.8537
Suhartono; UIN Maulana Malik Ibrahim Malang Suhartono
Research about sound processing by computer using fuzzy logic has been known since 1970. One of approach logic fuzzy method is fuzzy mamdani method. Fuzzy mamdani method is the method to give conclusion from groupof rules of fuzzy. There have to be minimum of two rules, input rule and output rule. Sound processing in canaries bierd’s chirp quality can be explained as measurement standar for canary’s bird’s chirp to the point of song variant and volume. The background of this research is to create a sound identification system that uses dynamic data, the pattern of canary’s bird’s chirp obtained from dynamic data.Dynamic data is difficult to approach with certain formulas. The purpose of this research is to create indentification system to measure Canaries bird’s chirp quality pre-contest. The method used in this research was statistic analysis, sound analysis and fuzzy Mamdani method. Statistic analysis was used to look for important features from Canarie’s chirp sample. This analysis results Max amplitude variable, Min amplitude variable, Root-mean square. Then sound analysis results Autocorrelation time, Zero cross and Energy. Then those values were used as the input in fuzzy Mamdani method process. As for the output variables were the judges score result about the quality of bird’ chirp. The results from identification system of bird’s chirp quality from 6 samples are (1). Accuration level 81,67%. (2) Error sytemrate 18,33%. (3). Based on system performance and error rate that have been known can be concluded that the system can indentifyCanarie’s chirp quality well.
Volume: 16
Issue: 2
Page: 690-702
Publish at: 2018-04-01

Evaluation of Flashover Voltage Levels of Contaminated Hydrophobic Polymer Insulators Using Regression Trees, Neural Networks, and Adaptive Neuro-Fuzzy

10.12928/telkomnika.v16i2.5103
Farag K.; Assiut University, Assiut Abo-Elyousr , L. S.; Aswan University Nassrat
Polluted insulators at high voltages has acquired considerable importance with the rise of voltage transmission lines. The contamination may lead to flashover voltage. As a result, flashover voltage could lead to service outage and affects negatively the reliability of the power system. This paper presents a dynamic model of ac 50Hz flashover voltages of polluted hydrophobic polymer insulators. The models are constructed using the regression tree method, artificial neural network (ANN), and adaptive neuro-fuzzy (ANFIS). For this purpose, more than 2000 different experimental testing conditions were used to generate a training set. The study of the ac flashover voltages depends on silicone rubber (SiR) percentage content in ethylene propylene diene monomer (EPDM) rubber. Besides, water conductivity (μS/cm), number of droplets on the surface, and volume of water droplet (ml) are considered. The regression tree model is obtained and the performance of the proposed system with other intelligence methods is compa ed. It can be concluded that the performance of the least squares regression tree model outperforms the other intelligence methods, which gives the proposed model better generalization ability.
Volume: 16
Issue: 2
Page: 495-512
Publish at: 2018-04-01

Property Exhibition Decision Support System Based on Web Application

10.12928/telkomnika.v16i2.7601
Violitta; Bina Nusantara University Yesmaya , Angry; Bina Nusantara University Ronald , Monica; Bina Nusantara University Hidajat
Complexity in finding property on property exhibition which consider many related constraints is quite high. Customers need to spend much time to analyse the right property to buy depends on their constraints whether salary, distance to work, facility, etc. According to the problem, this research will collect the information from customer on property exhibition to find out the constraint. Also, this research will focus on design and analyses the decision support system for property exhibition. Software development life cycle that will be used is scrum which is divided into several processes like backlog, sprints, scrum meetings, and demos. The result of this research is a web application that help customer to collect the information of the property according to their constraints.
Volume: 16
Issue: 2
Page: 766-770
Publish at: 2018-04-01
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