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An Optimum Approach for Preprocessing of Web User Query

10.11591/ijict.v7i1.pp8-12
Sunny Sharma , Sunita Sunita , Arjun Kumar , Vijay Rana
The emergence of the Web technology generated a massive amount of raw data by enabling Internet users to post their opinions, comments, and reviews on the web. To extract useful information from this raw data can be a very challenging task. Search engines play a critical role in these circumstances. User queries are becoming main issues for the search engines. Therefore a preprocessing operation is essential. In this paper, we present a framework for natural language preprocessing for efficient data retrieval and some of the required processing for effective retrieval such as elongated word handling, stop word removal, stemming, etc. This manuscript starts by building a manually annotated dataset and then takes the reader through the detailed steps of process. Experiments are conducted for special stages of this process to examine the accuracy of the system.
Volume: 7
Issue: 1
Page: 8-12
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

Novel Technique for Comprehensive Noise Identification and Cancellation in GSM Signal

10.11591/ijece.v8i2.pp1222-1229
Rekha N , Fathima Jabeen
Presence of noise significantly degrades the contents being transmitted over GSM channel. With the evolution of next generation of communication system, the challenges in noise cancellation in voice along with data transmission are not being addressed effectively by existing filters. Therefore, the proposed system offers a mechanism where emphasis is laid on identification of superior and inferior forms of GSM transient signal followed by cancellation of its noise level. Designed using analytical methodology, the proposed system harness the potential of probability theory to perform a modeling that associates allocated power of the transmitting device with the level of noise. The outcome of the study is found to offer a comprehensive identification of different forms of noise and can precisely determine the level of superior and inferior quality of signal. The outcome significantly assists in designing an accurate filter for noise cancellation in GSM signal.
Volume: 8
Issue: 2
Page: 1222-1229
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

New Blind Muti-signature Schemes based on ECDLP

10.11591/ijece.v8i2.pp1074-1083
Duc Nguyen Tan , Hai Nguyen Nam , Minh Nguyen Hieu , Hiep Nguyen Van
In various types of electronic transactions, including election systems and digital cash schemes, user anonymity and authentication are always required. Blind signatures are considered the most important solutions to meeting these requirements. Many studies have focused on blind signature schemes; however, most of the studied schemes are single blind signature schemes. Although blind multi-signature schemes are available, few studies have focused on these schemes. In this article, blind multi-signature schemes are proposed based on the Elliptic Curve Discrete Logarithm Problem (ECDLP). The proposed schemes are based on the GOST R34.10-2012 digital signature standard and the EC-Schnorr digital signature scheme, and they satisfy blind multi-signature security requirements and have better computational performance than previously proposed schemes. The proposed schemes can be applied in election systems and digital cash schemes.
Volume: 8
Issue: 2
Page: 1074-1083
Publish at: 2018-04-01

Notice of Retraction Digital Image Steganography Using Bit Flipping

10.11591/ijict.v7i1.pp1-7
Aditya Kumar Sahu , Gandharba Swain
Notice of Retraction-----------------------------------------------------------------------After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IAES's Publication Principles.We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.The presenting author of this paper has the option to appeal this decision by contacting info@iaesjournal.com.-----------------------------------------------------------------------This article proposes bit flipping method to conceal secret data in the original image. Here a section consists of 2 pixels and there by flipping one or two LSBs of the pixels to hide secret information in it. It exists in 2 variants. The variant-1 and variant-2 both use 7th and 8th bit to conceal the secret data. Variant-1 hides 3 bits per a pair of pixels and the variant-2 hides 4 bits per a pair of pixels. Our proposed method notably raises the capacity as well as bits per pixel that can be hidden in the image compared to existing bit flipping method. The image steganographic parameters such as, peak signal to noise ratio (PSNR), hiding capacity, and the quality index of the proposed techniques has been compared with the existing bit flipping technique
Volume: 7
Issue: 1
Page: 1-7
Publish at: 2018-04-01

Accumulator Charging Control with Piezoelectric Based on Fuzzy Algorithm Scheduling

10.12928/telkomnika.v16i2.7067
Iswanto; Universitas Muhammadiyah Yogyakarta Iswanto , Wahyu Sari; Universitas Muhammadiyah Yogyakarta Agustiningsih , Faaris; Universitas Muhammadiyah Yogyakarta Mujaahid , Rohmansyah; Universitas Muhammadiyah Yogyakarta Rohmansyah , Aris; Universitas Muhammadiyah Surakarta Budiman
Battery accumulator charging with pizoelectric takes considerable long time so that an energy harvester is needed by using in this study LTC 3588 circuit. However, by using the energy harvester, the pizoelectric cannot be used to charge 12 volt battery, thus a boost converter is needed. The output voltage is too small to increase by using the boost converter so that the output from the energy converter is used to charge four AA batteries. After the voltage of the four AA batteries as much as 4.7 volt is increased by using the boost converter, the batteries can be used to charge accumulator battery 12 volt. To charge the battery to accumulator, scheduling algorithm planted in microcontroller arduino is needed. By using the scheduling algorithm with fuzzy logic in the arduino microcontroller, the microcontroller is able to control schedule of accumulatro battery charging.
Volume: 16
Issue: 2
Page: 635-640
Publish at: 2018-04-01
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