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28,451 Article Results

Breast Mass Segmentation Using a Semi-automatic Procedure Based on Fuzzy C-means Clustering

10.12928/telkomnika.v16i2.6193
Moustapha Mohamed; Chouaib Doukkali University Saleck , Abdelmajid El; Chouaib Doukkali University Moutaouakkil , Mohammed; Chouaib Doukkali University Moucouf , Maksi; Hospital Mohamed V Bouchaib , Hani; Hospital Mohamed V Samira , Jamaldine; Hospital Mohamed V Zineb
Mammography is the primary modality that helped in the early detection and diagnosis of women breast diseases. Further, the process of extracting the masses in mammogram represents a challenging task facing the radiologists, due to problems such as fuzzy or speculated borders, low contrast and the presence of intensity inhomogeneities. Aims to help the radiologists in the diagnosis of breast cancer, many approaches have been conducted to automatically segment the masses in mammograms. Towards this aim, in this paper, we present a new approach for extraction of tumors from region-of-interest (ROI) using the algorithm of Fuzzy C-Means (FCM) setting two clusters for semi-automated segmentation. The proposed method meant to select as input data the set of pixels that enable to get the meaningful information required to segment the masses with high accuracy. This could be accomplished through eliminating unnecessary pixels, which influence on this process through separating it outside of the input data using an optimal threshold given by monitoring the change of clusters rate during the process of threshold decrementing. The proposed methodology has successfully segmented the masses, with an average sensitivity of 82.02% and specificity of 98.23%.
Volume: 16
Issue: 2
Page: 665-672
Publish at: 2018-04-01

Bat-Cluster: A Bat Algorithm-based Automated Graph Clustering Approach

10.11591/ijece.v8i2.pp1122-1130
Zakaria Boulouard , Amine El Haddadi , Fadwa Bouhafer , Anass El Haddadi , Lahcen Koutti , Bernard Dousset
Defining the correct number of clusters is one of the most fundamental tasks in graph clustering. When it comes to large graphs, this task becomes more challenging because of the lack of prior information. This paper presents an approach to solve this problem based on the Bat Algorithm, one of the most promising swarm intelligence based algorithms. We chose to call our solution, β€œBat-Cluster (BC).” This approach allows an automation of graph clustering based on a balance between global and local search processes. The simulation of four benchmark graphs of different sizes shows that our proposed algorithm is efficient and can provide higher precision and exceed some best-known values.
Volume: 8
Issue: 2
Page: 1122-1130
Publish at: 2018-04-01

Exergy Assessment of Photovoltaic Thermal with V-groove Collector Using Theoretical study

10.12928/telkomnika.v16i2.8433
Muhammad; The National University of Malaysia Zohri , Nurato; Mercu Buana University Nurato , Lalu Darmawan; College Computer Information Management (STMIK) Mataram Bakti , Ahmad; The National University of Malaysia Fudholi
The solution of the environmental problems because of fuel fossil is to use new and renewable energy. There are many studies about energy analysis of solar collector with v-groove but exergy analysis of photovoltaic thermal system with v-groove is still less especially by theoretical study. Photovoltaic thermal with v-groove collector has been conducted the exergy analysis by theoretical assessment. The matrix inversion methods were used to analyze the energy balance equation. The theoretical assessment was conducted under the solar intensity of 385 W/m2, 575 W/m2, and 875 W/m2 and mass flow rate between 0.01 and 0.05 kg/s. The maximum exergy efficiency and exergy of PVT system with v-groove collector were 17.80% and 86.32 Watt at the solar intensity of 875 W/m2.
Volume: 16
Issue: 2
Page: 550-557
Publish at: 2018-04-01

Data in Transit Validation for Cloud Computing Using Cloud-Based Algorithm Detection of Injected Objects

10.11591/ijeecs.v10.i1.pp348-353
Rashidah Funke Olanrewaju , Thouhedul Islam , Othman O. Khalifa , Fawwaz Eniola Fajingbesi
The recent paradigm shift in the IT sector leading to cloud computing however innovative had brought along numerous data security concerns. One major such security laps is that referred to as the Man in the Middle (MITM) attack where external data are injected to either hijack a data in transit or to manipulate the files and object by posing as a floating cloud base. Fresh algorithms for cloud data protection do exist however, they are still prone to attack especially in real-time data transmissions due to employed mechanism. Hence, a validation protocol algorithm based on hash function labelling provides a one-time security header for transferable files that protects data in transit against any unauthorized injection. The labelling header technique allows for a two-way data binding; DOM based communication between local and cloud computing that triggers automated acknowledgment immediately after file modification. A two layer encryption functions in PHP was designed for detecting injected object; bcrypt methods in Laravel and MD5 that generate 32 random keys. A sum total of 1600 different file types were used during training then evaluation of the proposed algorithm, where 87% of the injected objects were correctly detected.
Volume: 10
Issue: 1
Page: 348-353
Publish at: 2018-04-01

A Simple, Rapid Analysis, Portable, Low-cost, and Arduino-based Spectrophotometer with White LED as a Light Source for Analyzing Solution Concentration

10.12928/telkomnika.v16i2.7159
Asep Bayu; Universitas Pendidikan Indonesia Dani Nandiyanto , Rena; Universitas Pendidikan Indonesia Zaen , Rosi; Universitas Pendidikan Indonesia Oktiani , Ade Gafar; Universitas Pendidikan Indonesia Abdullah , Lala Septem; Universitas Pendidikan Indonesia Riza
The purpose of this study was to demonstrate a simple, rapid analysis, portable, and inexpensive spectrophotometer. Different from other spectrophotometers, the present instrument consisted of a single white light-emmiting-diode (LED) as a light source, a light sensor, and arduino electronic card as an acquisition system. To maintain a constant light intensity, a common white-color LED emitting a 450-620 nm continous spectrum was employed. Software was written in C++ to control photometer through a USB interface and for data acquistion to the computer. The instrument is designed to be simple and compacted with sizes of 200 x 130 x 150 mm for length, width, and height, respectively. The analysis of the total cost isabout less than 500 USD, while commercially available offers price of more than 10,000 USD. Thus, this makes the present instrument feasible for teaching support media in developing countries. The effectiveness of the present spectrophotometer for analyzing solution concentration (i.e. curcumin) was also demonstrated. Interestingly, the present spectrophotometer is able to measure the concentration of curcumin precisely with an accuracy of more than 90%. Different from commercially available standard UV-visible spectrophotometers that have limitations in the analysis of concentration of less than 50 ppm, the present system can measure the concentration with no limitation since the measurement is based on the LED light being penetrated.
Volume: 16
Issue: 2
Page: 580-585
Publish at: 2018-04-01

Design MIMO 1x8 Antenna for Future 5G Applications

10.12928/telkomnika.v16i2.8383
Yusnita; Universitas Riau Rahayu , Muhammad Rifqy; Universitas Riau Asrul , Tulus; Universitas Riau Rahayu
This paper presented the design of MIMO 1x8 antenna operating at 38 GHz for future 5G applications. The antenna used the Rogers RT / duroid 5880 substrate with a thickness of 0.787 mm and a dielectric constant of 2.2. This antenna has 1x8 elements with 13.4 dBi of gain and the return loss of -15.76 dB. It has approximately 1.294 GHz bandwidth within the range of 37.485 GHz-38.779 GHz. The comparison performances between both antennas MIMO 1x4 and 1x8 are also discussed. It is shown that both radiation patterns are similar. The increasing number of elements affect to the gain and frequency. The proposed antenna meets the 5G requirements.
Volume: 16
Issue: 2
Page: 600-605
Publish at: 2018-04-01

Data Cleaning Service for Data Warehouse: An Experimental Comparative Study on Local Data

10.12928/telkomnika.v16i2.7669
Arif; King Abdulaziz University Bramantoro
Data warehouse is a collective entity of data from various data sources. Data are prone to several complications and irregularities in data warehouse. Data cleaning service is non trivial activity to ensure data quality. Data cleaning service involves identification of errors, removing them and improve the quality of data. One of the common methods is duplicate elimination. This research focuses on the service of duplicate elimination on local data. It initially surveys data quality focusing on quality problems, cleaning methodology, involved stages and services within data warehouse environment. It also provides a comparison through some experiments on local data with different cases, such as different spelling on different pronunciation, misspellings, name abbreviation, honorific prefixes, common nicknames, splitted name and exact match. All services are evaluated based on the proposed quality of service metrics such as performance, capability to process the number of records, platform support, data heterogeneity, and price; so that in the future these services are reliable to handle big data in data warehouse.
Volume: 16
Issue: 2
Page: 834-842
Publish at: 2018-04-01

Fast and Accurate Spelling Correction Using Trie and Damerau-levenshtein Distance Bigram

10.12928/telkomnika.v16i2.6890
Viny Christanti; Tarumanagara University M. , Rudy; Tarumanagara University Rudy , Dali S.; Tarumanagara University Naga
This research was intended to create a fast and accurate spelling correction system with the ability to handle both kind of spelling errors, non-word and real word errors. Existing spelling correction system was analyzed and was then applied some modifications to improve its accuracy and speed. The proposed spelling correction system is then built based on the method and intuition used by existing system along with the modifications made in previous step. The result is a various spelling correction system using different methods. Best result is achieved by the system that uses bigram with Trie and Damerau-Levenshtein distance with the word level accuracy of 84.62% and an average processing speed of 18.89 ms per sentence.
Volume: 16
Issue: 2
Page: 827-833
Publish at: 2018-04-01

Design and Analysis of a Broadcast Network Using Logical Segmentation

10.12928/telkomnika.v16i2.8461
Anyasi; Ambrose Alli University Francis , Uzairue; Covenant University Stanley , Enehizena; University of Benin O.N. , Victor Matthews; Covenant University Olu , Amaize; Covenant University Peter , Nsikan; Covenant University Nkordeh
This study shows how the network performance of a flat switch network in the main library complex of Ambrose Ali University (AAU), Ekpoma can greatly be improved by logical segmentation. A survey of the flat switch network of the library complex was carried out to ascertain the physical and logical topology of the network and the number of hosts and network devices available. The kind of traffic transmitted over the network was also considered. Riverbed Modeler Academic Edition was used to simulate two replicas of the library network. One of the simulated networks was logically segmented by implementing Virtual Local Area Network (VLAN). Statistics like traffic dropped, traffic forwarded, traffic received, broadcast traffic dropped and traffic sent in bits/sec or packets/sec were collected from both simulations and the results were analyzed and compared. The results from the simulations showed that the application of VLAN immensely enhanced the network performance by about 75%(depending on the size of the network) because the logical segmentation increased the number of broadcast domain while reducing each of the broadcast size. This further implied that poor network design and large broadcast domain in a network, gravely affect the performance of a network.
Volume: 16
Issue: 2
Page: 803-810
Publish at: 2018-04-01

Motion Detection and Clustering Using PCA and NN in Color Image Sequence

10.12928/telkomnika.v16i2.7471
Mourad; University of Gafsa Moussa , Nesrine; University of Sousse Bdioui , Ali; University of Sousse Douik
This paper presents a motion detection method with the use of the Principal Component Analysis. This method is able to detect and track moving objects in a sequence of images. The tested sequence is segmented within the meaning of movement. In this paper, the concept of extracting significant information from a large number of data is adopted to provide an effective method for tracking moving objects on the video image. The principal components are different in term of getting significant information, the nature of motion (the nature of information) is responsible of this difference, the algorithm in this paper distinguish the motion nature and choose the appropriate components to give a best segmentation.
Volume: 16
Issue: 2
Page: 747-754
Publish at: 2018-04-01

Comparison of Entropy Coding mechanism on IEEE1857.2 Lossless Audio Compression Standard

10.11591/ijeecs.v10.i1.pp176-183
Fathiah Abdul Muin , Teddy Surya Gunawan , Mira Kartiwi , Elsheikh M.A. Elsheikh
This paper has two objectives. First, we aim to review and analyze the performance of the IEEE 1857.2 standard, focusing is on the Golomb-Rice and Arithmetic entropy algorithms as well as the effect of the pre-processing block on these entropy blocks. The pre-processing block normalizes the error residue of the Linear Predictive encoder, which then is passed to Entropy block, where the selector chooses the entropy encoder to use. The second objective is to present results from experimenting different existing algorithms available to benchmark it’. The results are discussed, and comparisons are made to identify the effect on compression ratio and encoding speed of the lossless encoder. As well as this, comparison is made to analyze effects of enabling and disabling the pre-processing output to the Entropy Coding block. We concluded that pre-processing block works well to flatten the output at lower predictor order for all the sound types, but works best at improving the residual output for music sound type.
Volume: 10
Issue: 1
Page: 176-183
Publish at: 2018-04-01

Finite Element Simulation of Microfluidic Biochip for High Throughput Hydrodynamic Single Cell Trapping

10.12928/telkomnika.v16i2.9023
Amelia Ahmad; Universiti Teknologi Malaysia Khalili , Mohd Ariffanan Mohd; Universiti Teknologi Malaysia Basri , Mohd Azhar Abdul; Universiti Teknologi Malaysia Razak
In this paper, a microfluidic device capable of trapping a single cell in a high throughput manner and at high trapping efficiency is designed simply through a concept of hydrodynamic manipulation. The microfluidic device is designed with a series of trap and bypass microchannel structures for trapping individual cells without the need for microwell, robotic equipment, external electric force or surface modification. In order to investigate the single cell trapping efficiency, a finite element model of the proposed design has been developed using ABAQUS-FEA software. Based on the simulation, the geometrical parameters and fluid velocity which affect the single cell trapping are extensively optimized. After optimization of the trap and bypass microchannel structures via simulations, a single cell can be trapped at a desired location efficiently.
Volume: 16
Issue: 2
Page: 883-888
Publish at: 2018-04-01

Error Performance Analysis in Underwater Acoustic Noise With Non-Gaussian Distribution

10.12928/telkomnika.v16i2.8001
Nor Shahida; Universiti Tun Hussein Onn Malaysia (UTHM) Mohd Shah , Yasin Yousif; University of Mustansiriyah Al-Aboosi , Musatafa Sami; Universiti Tun Hussein Onn Malaysia (UTHM) Ahmed
There is a high demand for underwater communication systems due to the increase in current social underwater activities. The assumption of Gaussian noise allows the use of Traditional communication systems. However, the non-Gaussian nature of underwater acoustic noise (UWAN) results in the poor performance of such systems. This study presents an experimental model for the noise of the acoustic underwater channel in tropical shallow water at Desaru beach on the eastern shore of Johor in Malaysia, on the South China Sea with the use of broadband hydrophones. A probability density function of the noise amplitude distribution is proposed and its parameters defined. Furthermore, an expression of the probability of symbol error for binary signalling is presented for the channel in order to verify the noise effect on the performance of underwater acoustic communication binary signalling systems.
Volume: 16
Issue: 2
Page: 681-689
Publish at: 2018-04-01

Energy Management through Bio-gas Based Electricity Generation System during Load Shedding in Rural Areas

10.12928/telkomnika.v16i2.5190
Shah Mohazzem; Military Institute of Science & Technology (MIST) Hossain , Md. Mahadi; Military Institute of Science & Technology (MIST) Hasan
The scarcity of energy especially electrical energy is an acute problem and hinders the modern economic development of a country. Most of the time only a small percentage of peoples have access to use continuous electricity supply. But in this modern era, all types of arena like economies, households and companies have extensive demand for electricity which is due to industrialization, extensive urbanization, population growth, rising standard of living and modernization of the agricultural sector of a country. Electricity generation from bio-gas plant through cowdungs of a dairy firm can mitigate the electricity demand to some extends in rural areas, where biogas plant will act act as a backup supply especially during load shedding. This research paper proposed an electricity generation system from bio-gas, which can work as a secondary source of the electricity for all electrical appliances of a particular area in a cost effective manner.
Volume: 16
Issue: 2
Page: 525-532
Publish at: 2018-04-01

Sentence Extraction Based on Sentence Distribution and Part of Speech Tagging for Multi-Document Summarization

10.12928/telkomnika.v16i2.8431
Agus Zainal; Institut Teknologi Sepuluh Nopember Arifin , Moch Zawaruddin; Institut Teknologi Sepuluh Nopember Abdullah , Ahmad Wahyu; Institut Teknologi Sepuluh Nopember Rosyadi , Desepta Isna; Institut Teknologi Sepuluh Nopember Ulumi , Aminul; Institut Teknologi Sepuluh Nopember Wahib , Rizka Wakhidatus; Institut Teknologi Sepuluh Nopember Sholikah
Automatic multi-document summarization needs to find representative sentences not only by sentence distribution to select the most important sentence but also by how informative a term is in a sentence. Sentence distribution is suitable for obtaining important sentences by determining frequent and well-spread words in the corpus but ignores the grammatical information that indicates instructive content. The presence or absence of informative content in a sentence can be indicated by grammatical information which is carried by part of speech (POS) labels. In this paper, we propose a new sentence weighting method by incorporating sentence distribution and POS tagging for multi-document summarization. Similarity-based Histogram Clustering (SHC) is used to cluster sentences in the data set. Cluster ordering is based on cluster importance to determine the important clusters. Sentence extraction based on sentence distribution and POS tagging is introduced to extract the representative sentences from the ordered clusters. The results of the experiment on the Document Understanding Conferences (DUC) 2004 are compared with those of the Sentence Distribution Method. Our proposed method achieved better results with an increasing rate of 5.41% on ROUGE-1 and 0.62% on ROUGE-2.
Volume: 16
Issue: 2
Page: 843-851
Publish at: 2018-04-01
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