Articles

Access the latest knowledge in applied science, electrical engineering, computer science and information technology, education, and health.

Advanced Search
Filter Icon

Filters article

Years

FAQ Arrow
Single Year
Range Year
0
0

Source Title

FAQ Arrow

Authors

FAQ Arrow

30,547 Article Results

Secure Privacy Implications for Clients and End-users through Key Assortment Crypto Techniques Implicated Algorithm

10.11591/ijece.v8i6.pp5443-5448
Ramesh D , Rama B
The main role of key assortment crypto techniques will helpful to provide the security to the sensitive data and play the key role for business developments. Some of the problems are rising when the scheme will sustain the possession control to present the latest set of technical and business concerns. Some of the complex challenges are waiting for the optimistic solutions. The challenges are: In the planned storage confidentiality implicated outline, the stipulation of encryption framework for the data which is conserve the self tunning to execute major key constratints by concerining their files which is imposed plaintext belonging, the owners of the privacy-data preserve the seclusion power over their own information to formulate assured wide-ranging service operations and the owners of data are facing the complexity to organize their possess data which is accessible-mode in cloud servers, concerned inner services: topology architecture type of implicated data with their operations, associated secrecy-privacy-secrecy dynamic replicas for make use of the databased security within their range of format and secretarial services with their encrypted data execution control. To overcome theses in convinces this paper is proposing the technical ideals through the algorithmic methodology along the graphical flow based architecture. This paper is proposing the key assortment crypto techniques implicated algorithm for clients and end-users to reduce the above mention complex difficulties; it describes the primary encryption implicated techniques and various levels of cryptographic algorithms with their implications along with extensions of cloud implicated data security and digital forensics implicated appliances which is implicated with enhanced various hash functions.
Volume: 8
Issue: 6
Page: 5443-5448
Publish at: 2018-12-01

Domain Examination of Chaos Logistics Function As A Key Generator in Cryptography

10.11591/ijece.v8i6.pp4577-4583
Alz Danny Wowor , Vania Beatrice Liwandouw
The use of logistics functions as a random number generator in a cryptography algorithm is capable of accommodating the diffusion properties of the Shannon principle. The problem that occurs is initialization x was static and was not affected by changes in the key, so that the algorithm will generate a random number that is always the same. This study design three schemes that can providing the flexibility of the input keys in conducting the examination of the value of the domain logistics function. The results of each schemes do not show a pattern that is directly proportional or inverse with the value of x0 and relative error x and successfully fulfill the properties of the butterfly effect. Thus, the existence of logistics functions in generating chaos numbers can be accommodated based on key inputs. In addition, the resulting random numbers are distributed evenly over the chaos range, thus reinforcing the algorithm when used as a key in cryptography.
Volume: 8
Issue: 6
Page: 4577-4583
Publish at: 2018-12-01

Using Data Mining to Identify COSMIC Function Point Measurement Competence

10.11591/ijece.v8i6.pp5253-5259
Selami Bagriyanik , Adem Karahoca
Cosmic Function Point (CFP) measurement errors leads budget, schedule and quality problems in software projects. Therefore, it’s important to identify and plan requirements engineers’ CFP training need quickly and correctly. The purpose of this paper is to identify software requirements engineers’ COSMIC Function Point measurement competence development need by using machine learning algorithms and requirements artifacts created by engineers. Used artifacts have been provided by a large service and technology company ecosystem in Telco. First, feature set has been extracted from the requirements model at hand. To do the data preparation for educational data mining, requirements and COSMIC Function Point (CFP) audit documents have been converted into CFP data set based on the designed feature set. This data set has been used to train and test the machine learning models by designing two different experiment settings to reach statistically significant results. Ten different machine learning algorithms have been used. Finally, algorithm performances have been compared with a baseline and each other to find the best performing models on this data set. In conclusion, REPTree, OneR, and Support Vector Machines (SVM) with Sequential Minimal Optimization (SMO) algorithms achieved top performance in forecasting requirements engineers’ CFP training need.
Volume: 8
Issue: 6
Page: 5253-5259
Publish at: 2018-12-01

A Critical Review of Time-frequency Distribution Analysis for Detection and Classification of Harmonic Signal in Power Distribution System

10.11591/ijece.v8i6.pp4603-4618
M. H. Jopri , A. R. Abdullah , T. Sutikno , M. Manap , M. R. Ab Ghani , M. R. Yusoff
This paper presents a critical review of time-frequency distributions (TFDs) analysis for detection and classification of harmonic signal. 100 unique harmonic signals comprise of numerous characteristic are detected and classified by using spectrogram, Gabor transform and S-transform. The rulebased classifier and the threshold settings of the analysis are according to the IEEE Standard 1159 2009. The best TFD for harmonic signals detection and classification is selected through performance analysis with regards to the accuracy, computational complexity and memory size that been used during the analysis.
Volume: 8
Issue: 6
Page: 4603-4618
Publish at: 2018-12-01

Voice Assessments for Detecting Patients with Parkinson’s Diseases in Different Stages

10.11591/ijece.v8i6.pp4265-4271
Elmehdi Benmalek , Jamal Elmhamdi , Abdelilah Jilbab
Recently, a wide range of speech signal processing algorithms (dysphonia measures) aiming to detect patients with Parkinson’s disease (PD). So we have computed 19 dysphonia measures from sustained vowels collected from 375 voice samples from healthy and people suffer from PD. All the features are analysed and the more relevant ones are selected by the Principal component analysis (PCA) to classify the subjects in 4 classes according to the UPDRS (unified Parkinson’s disease Rating Scale) score. We used k-folds cross validation method with (k=4) validation scheme; 75% for training and 25% for testing, along with the Support Vector Machines (SVM) with its different types of kernels. The best result obtained was 92.5% using the PCA and the linear SVM.
Volume: 8
Issue: 6
Page: 4265-4271
Publish at: 2018-12-01

Simple Three-Input Single-Output Current-Mode Universal Filter Using Single VDCC

10.11591/ijece.v8i6.pp4932-4940
Prungsak Uttaphut
This paper presents a second-order current-mode filter with three-inputs and single-output current using single voltage differencing current conveyors (VDCC) along with one resistor and two grounded capacitors. The design of presented filter emphasizes on the use of a single active element without the multiple terminals VDCC which is convenient to implement the VDCC using commercially available IC for the practical test. Also, it can reduce the current tracking error at current output port and can reduce the number of transistor in the VDCC. The proposed filter can realize all the five generic filter responses, namely, band-pass (BP), band-reject (BR), low-pass (LP), high-pass (HP), and all-pass (AP) functions from the same configuration under various conditions in terms of three input current signals. Furthermore, the natural frequency and quality factor are electronically controlled. The output current node exhibits high impedance. Besides, the non-ideal case is also investigated. The simulation and experimental results using VDCC constructed from commercially available IC can validate the theoretical analyses.
Volume: 8
Issue: 6
Page: 4932-4940
Publish at: 2018-12-01

HOPX Crossover Operator for the Fixed Charge Logistic Model with Priority Based Encoding

10.11591/ijece.v8i6.pp5351-5358
Ahmed Lahjouji El Idrissi , Chakir Tajani , Mohamed Sabbane
In this paper, we are interested to an important Logistic problem modelised us optimization problem. It is the fixed charge transportation problem (FCTP) where the aim is to find the optimal solution which minimizes the objective function containig two costs, variable costs proportional to the amount shipped and fixed cost regardless of the quantity transported. To solve this kind of problem, metaheuristics and evolutionary methods should be applied. Genetic algorithms (GAs) seem to be one of such hopeful approaches which is based both on probability operators (Crossover and mutation) responsible for widen the solution space. The different characteristics of those operators influence on the performance and the quality of the genetic algorithm. In order to improve the performance of the GA to solve the FCTP, we propose a new adapted crossover operator called HOPX with the priority-based encoding by hybridizing the characteristics of the two most performent operators, the Order Crossover (OX) and Position-based crossover (PX). Numerical results are presented and discussed for several instances showing the performance of the developed approach to obtain optimal solution in reduced time in comparison to GAs with other crossover operators.
Volume: 8
Issue: 6
Page: 5351-5358
Publish at: 2018-12-01

Performance Analysis of IEEE 802.15.4 Transceiver System under Adaptive White Gaussian Channel

10.11591/ijece.v8i6.pp4184-4196
Ekhlas Kadhum , Russul Haitham
Zigbee technology has been developed for short range wireless sensor networks and it follows IEEE 802.15.4 standard. For such sensors, several considerations should be taken including; low data rate and less design complexity in order to achieve efficient performance considering to the transceiver systems. This research focuses on implementing a digital transceiver system for Zigbee sensor based on IEEE 802.15.4. The system is implemented using offset quadrature phase shift keying (OQPSK) modulation technique with half sine pulse-shaping method. Direct conversion scheme has been used in the design of Zigbee receiver in order to fulfill the requirements mentioned above. System performance is analyzed considering to BER when it encountered adaptive white Gaussian noise (AWGN), besides showing the effect of using direct sequence spread spectrum (DSSS) technique.
Volume: 8
Issue: 6
Page: 4184-4196
Publish at: 2018-12-01

Developing Corpora using Wikipedia and Word2vec for Word Sense Disambiguation

10.11591/ijeecs.v12.i3.pp1239-1246
Farza Nurifan , Riyanarto Sarno , Cahyaningtyas Sekar Wahyuni
Word Sense Disambiguation (WSD) is one of the most difficult problems in the artificial intelligence field or well known as AI-hard or AI-complete. A lot of problems can be solved using word sense disambiguation approaches like sentiment analysis, machine translation, search engine relevance, coherence, anaphora resolution, and inference. In this paper, we do research to solve WSD problem with two small corpora. We propose the use of Word2vec and Wikipedia to develop the corpora. After developing the corpora, we measure the sentence similarity with the corpora using cosine similarity to determine the meaning of the ambiguous word. Lastly, to improve accuracy, we use Lesk algorithms and Wu Palmer similarity to deal with problems when there is no word from a sentence in the corpora (we call it as semantic similarity). The results of our research show an 86.94% accuracy rate and the semantic similarity improve the accuracy rate by 12.96% in determining the meaning of ambiguous words.
Volume: 12
Issue: 3
Page: 1239-1246
Publish at: 2018-12-01

Coordinated Control of Interconnected Microgrid and Energy Storage System

10.11591/ijece.v8i6.pp4781-4789
Md. Asaduz-Zaman , Md. Habibur Rahaman , Md. Selim Reza , Md. Mafizul Islam
Several microgrids can be interconnected together to enhance the grid reliability and reduce the cost of supplying power to an island area where conventional power grid cannot be connected. Source and load demand do not properly balance always. Besides that, sometimes power and frequency fluctuation has occurred in MG at island mode. Need to design a special control for maintaining the state of charge (SoC) of energy storage system. This paper proposes a new power supply system for an island area that interconnects two microgrids with a single energy storage system (ESS). An algorithm has been proposed that control the microgrids energy storage system for spinning reserve and load power/frequency regulation purpose. The minimum loading constraints of diesel engine generator (DEG) is considered and the SOC of the ESS is properly maintained.
Volume: 8
Issue: 6
Page: 4781-4789
Publish at: 2018-12-01

RMEER: Reliable Multi-path Energy Efficient Routing Protocol for Underwater Wireless Sensor Network

10.11591/ijece.v8i6.pp4366-4373
Mukhtiar Ahmed , Mazleena Salleh , M. Ibrahim Channa , Mohd Foad Rohani
Underwater Wireless Sensor Networks (UWSNs) is interesting area for researchers.To extract the information from seabed to water surface the the majority numbers of routing protocols has been introduced. The design of routing protocols faces many challenges like deployment of sensor nodes, controlling of node mobility, development of efficient route for data forwarding, prolong the battery power of the sensor nodes, and removal of void nodes from active data forwarding paths. This research article focuses the design of the Reliable Multipath Energy Efficient Routing (RMEER) which develops the efficient route between sensor nodes, and prolongs the battery life of the nodes. RMEER is a scalable and robust protocol which utilizes the powerful fixed courier nodes in order to enhance the network throughput, data delivery ratio, network lifetime and reduces the end-to-end delay. RMEER is also an energy efficient routing protocol for saving the energy level of the nodes. We have used the NS2.30 simulator with AquaSim package for performance analysis of RMEER.We observed that the simulation performance of RMEER is better than D-DBR protocol.
Volume: 8
Issue: 6
Page: 4366-4373
Publish at: 2018-12-01

Development of Algorithm for Preservation of Heritage Murals and Painting Using Image Processing

10.11591/ijict.v7i3.pp146-148
S. Lalithakumari , Pandian R
Image archiving and preservation finds extensive application in culture heritage murals. The study of cultural heritage is of the extreme importance at national and international levels. Not only global organizations like UNESCO but also museums, libraries, culture, temples and private initiatives are working in these directions. During the last three decades, researchers in the field of imaging discipline have started to contribute an increasing set of algorithms for cultural heritage; in that way providing indispensable support to these efforts. A better comparison of the different compression methods presented in this proposed work for culture Heritage mural images. Compression methods usually applied some method to reduce the number of components within each spectrum. The effectiveness of mural image archiving and preservation is analyzed based on 2-D wavelets filtering. The optimum algorithm is also found based on the results.
Volume: 7
Issue: 3
Page: 146-148
Publish at: 2018-12-01

Adaptive Data Structure Based Oversampling Algorithm for Ordinal Classification

10.11591/ijeecs.v12.i3.pp1063-1070
Dhanalakshmi kasiraja , Anna Saro Vijendran
The main objective of this research is to improve the predictive accuracy of classification in ordinal multiclass imbalanced scenario. The methodology attempts to uplift the classifier performance through synthesizing sophisticated objects of immature classes.  A novel Adaptive Data Structure based oversampling algorithm is proposed to create synthetic objects and Extreme Learning Machine for Ordinal Regression (ELMOP) classifier is adopted to validate our work.   The proposed method generating new objects by analyzing the characteristics and intricacy of immature class objects. On the whole, the data set is divided into training and test data. Training data set is updated with new synthetic objects.  The experimental analysis is performed on testing data set to check the efficiency of the proposed methodology by comparing it with the existing work.    The performance evaluation is conducted in terms of the parameters called Mean Absolute Error, Maximum Mean Absolute Error, Geometric Mean, Kappa and Average Accuracy.  The measures prove that the proposed methodology can produce authentic synthetic objects than the existing techniques.  The Proposed technique can synthesize the new effective objects through evaluating the structure of immature class.  It boosts the global precision and class wise precision especially preserves rank order of the classes.
Volume: 12
Issue: 3
Page: 1063-1070
Publish at: 2018-12-01

A Miniature BroadBand Microstrip Antenna for LTE, Wi-Fi and WiMAX Applications

10.11591/ijece.v8i6.pp5238-5244
Zakaria Er-reguig , Hassan Ammor
A Compact microstrip antenna with rectangular slotted radiating element has been developed. Four slots have been introduced on the radiating element with the use of a partial ground plane and a wideband response has been obtained. The bandwidth of the proposed antenna is 1.7 GHz with a percentage bandwidth of 71%. A low-cost dielectric (FR4_EPOXY) has been considered in the development of the proposed antenna. The obtained frequency band is from 1.9 GHz to 3.6 GHz. To investigate the robustness of our modelled antenna the simulation process has been carried out using two different solvers (Finite Element Method and Finite Integration Technique). In addition, the designed antenna was realized and these results were compared with those of the simulation. The proposed antenna is suitable for many LTE bands {1, 3, 7… 38, 40} broadly deployed in European, South American, Asian, and African countries, Wi-Fi (2.4 GHz), and WiMAX technology (3.5 GHz).
Volume: 8
Issue: 6
Page: 5238-5244
Publish at: 2018-12-01

A Diagnostic Analytics of Harmonic Source Signature Recognition by Using Periodogram

10.11591/ijece.v8i6.pp5399-5408
M. H. Jopri , A. R. Abdullah , T. Sutikno , M. Manap , M. R. Ab Ghani , A. S. Hussin
This paper presents a diagnostic analytics of harmonic source signature recognition of rectifier and inverter-based load in the distribution system with single-point measurement at the point of common coupling by utilizing Periodogram. Signature recognition pattern is used to distinguish the harmonic sources accurately by obtaining the distribution of harmonic and interharmonic components and the harmonic contribution changes.  This is achieved by using the significant signature recognition of harmonic producing load obtained from analysing the harmonic contribution changes. Based on voltage and current signature analysis, the distribution of harmonic components can be divided into three zones. To distinguish between the harmonic producing loads, the harmonic components are observed at these zones to get the signature recognition pattern. The result demonstrate that periodogram technique accurately diagnose and distinguish the type of harmonic sources in the distribution system.
Volume: 8
Issue: 6
Page: 5399-5408
Publish at: 2018-12-01
1 2 3
...
2036 2037
Show 1424 of 2037

Discover Our Library

Embark on a journey through our expansive collection of articles and let curiosity lead your path to innovation.

Explore Now
Library 3D Ilustration