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31,456 Article Results

A hybrid water cycle-particle swarm optimization for solving the fuzzy underground water confined steady flow

10.11591/ijeecs.v19.i1.pp492-504
Elsayed Metwalli Badr , Horia Elgendy
Groundwater sustainability is the development and use of groundwater resources to meet current and future beneficial uses without causing unacceptable environmental or socioeconomic consequences. This study is the first time to apply the hybrid optimization technique for solving of managing underground water aquifers, the confined steady flow problems, where a hybrid water cycle - particle swarm optimization WCA-PSO is proposed. In particular, we introduce a novel hybrid algorithm using water cycle algorithm (WCA) and particle swarm Optimization (PSO). The performance of the novel hybrid algorithm WCA-PSO is evaluated to solve 10 benchmark problems chosen from literature. The simulation results and comparison with pure WCA and PSO algorithms confirm the effectiveness of the proposed algorithm WCA-PSO for solving various benchmark optimization functions. Finally, we solve the problem of managing underground water aquifers by WCA, PSO and the hybrid optimization WCA-PSO. The experimental results analysis and statistical tests prove that the hybrid algorithm WCA-PSO overcomes the pure algorithms.
Volume: 19
Issue: 1
Page: 492-504
Publish at: 2020-07-01

Design and development of combat robot for military applications

10.11591/ijres.v9.i2.pp125-132
Raju Hajare , Mallikarjuna Gowda C.P
In this paper we have developed a combat robot which will assist our commandos to fight against terrorism. With additional weaponry system it can perform other tasks also. Our preliminary aim in this project is to design a combat robot which can be used to handle the unmanned situations like terror attack inside the building where the firing is heavy and the entry of commandos may be difficult. In such situations the combat robot with spy camera, which is controlled through the control room can be sent into the terrorist occupied area. The robot constantly sends the visuals captured through spy camera to the control room. Based on the visuals received from the robot the control room operator can give directions to the robot. This kind of spy robot can also be used in star hotels, shopping malls, jewelry show rooms.
Volume: 9
Issue: 2
Page: 125-132
Publish at: 2020-07-01

LSA & LDA topic modeling classification: comparison study on e-books

10.11591/ijeecs.v19.i1.pp353-362
Shaymaa H. Mohammed , Salam Al-augby
With the rapid growth of information technology, the amount of unstructured text data in digital libraries is rapidly increased and has become a big challenge in analyzing, organizing and how to classify text automatically in E-research repository to get the benefit from them is the cornerstone. The manual categorization of text documents requires a lot of financial, human resources for management. In order to get so, topic modeling are used to classify documents. This paper addresses a comparison study on scientific unstructured text document classification (e-books) based on the full text where applying the most popular topic modeling approach (LDA, LSA) to cluster the words into a set of topics as important keywords for classification. Our dataset consists of (300) books contain about 23 million words based on full text. In the used topic models (LSA, LDA) each word in the corpus of vocabulary is connected with one or more topics with a probability, as estimated by the model. Many (LDA, LSA) models were built with different values of coherence and pick the one that produces the highest coherence value. The result of this paper showed that LDA has better results than LSA and the best results obtained from the LDA method was (0.592179) of coherence value when the number of topics was 20 while the LSA coherence value was (0.5773026) when the number of topics was 10.
Volume: 19
Issue: 1
Page: 353-362
Publish at: 2020-07-01

Design and analysis of different full adder cells using new technologies

10.11591/ijres.v9.i2.pp116-124
Nandhaiahgari Dinesh Kumar , Rajendra Prasad Somineni , CH Raja Kumari
CMOS transistors are most widely used for the design of computerized circuits, when scaling down the nanometer technology these devices faces the short channel effects and causes I-V characteristics to depart from the traditional MOSFETs, So the researchers have developed the other transistors technologies like CNTFET and GNRFET. Carbon nanotube field effect transistor is one of the optimistic technologies and it is a three terminal transistor similar to MOSFET. The semiconducting channel between the two terminals called source and drain comprises of the nano tube which is made of carbon. Graphene nano ribbon filed effect transistor is the most optimistic technology here the semiconducting channel is made of graphene. When contrasted with barrel shaped CNTFETs, GNRFETs can be prepared in situ process, transfer-free and silicon compatible, thus have no passage related and alignment problems as faced in CNTFET devices. This paper presents different 1-bit Full Adder Cells (FACs) like TG MUX-based FAC (TGM), MN MUX-based FAC (MNM), proposed TG Modified MUX-based FAC (TGMM) and another proposed MN Modified MUX-based FAC (MNMM) are designed using different technologies like CNTFET and GNRFET at 16nm technology with supply voltage of 0.85v and simulation is done by using Synopsys HSPICE Tool and the proposed designs are best when compared to the TGM and MNM FACs in terms of Static and Dynamic powers Dissipations and Delay.
Volume: 9
Issue: 2
Page: 116-124
Publish at: 2020-07-01

On the performance of switching methods in space division multiplexing based optical networks

10.11591/csit.v1i2.p54-60
Sridhar Iyer
In the current work, for space division multiplexing based optical networks (SDM-b-OTNs), we investigate the performance of various switching methods with a variation in traffic evolution over different time frame periods. Initially, comparison of the existing methods viz., independent switching (InSw), frequency switching (FqSw), and space switching (SpSw) demonstrates that (i) over longer periods of time frame, FqSw provisions low network usage, and (ii) SpSw offers low network usage for shorter periods of time frame; however, as time frame increases to longer periods, SpSw starts to outperform InSw. Next, we investigate a hybrid switching (HySw) method which begins by implementing InSw and then shifts to the use of SpSw after the activation of specific numbers of space channels. The simulation results demonstrate that HySw provisions substantial savings on the costs incurred for switching, and with lower space channel values it also offers a balance in the trade-off which occurs between the costs associated for activating the space channels and that incurred for switching.
Volume: 1
Issue: 2
Page: 54-60
Publish at: 2020-07-01

Efficient and scalable multitenant placement approach for in-memory database over supple architecture

10.11591/csit.v1i2.p39-46
Arpita Shah , Narendra Patel
Of late Multitenant model with in-memory database has become prominent area for research. The paper has used advantages of multitenancy to reduce the cost for hardware, labor and make availability of storage by sharing database memory and file execution. The purpose of this paper is to give overview of proposed Supple architecture for implementing in memory database backend and multitenancy, applicable in public and private cloud settings. Backend in-memory database uses column-oriented approach with dictionary based compression technique. We used dedicated sample benchmark for the workload processing and also adopt the SLA penalty model. In particular, we present two approximation algorithms, multitenant placement (MTP) and best-fit greedy to show the quality of tenant placement. The experimental results show that multi-tenant placement (MTP) algorithm is scalable and efficient in comparison with best fit greedy algorithm over proposed architecture.
Volume: 1
Issue: 2
Page: 39-46
Publish at: 2020-07-01

Feature analysis of ontology visualization methods and tools

10.11591/csit.v1i2.p61-77
Merlin Florrence Joseph , Ravi Lourdusamy
Visualization is a technique of creating images, graphs or animations to share knowledge. Different kinds of visualization methods and tools are available to envision the data in an efficient way. The visualization tools and techniques enable the user to understand the knowledge in an easy manner. Nowadays most of the information is presented semantically which provides knowledge based retrieval of the information. Knowledge based visualization tools are required to visualize semantic concepts. This article analyses the existing semantic based visualization tools and plug-ins. The features and characteristics of these tools and plug-ins are analyzed and tabulated.
Volume: 1
Issue: 2
Page: 61-77
Publish at: 2020-07-01

Insult detection using a partitional CNN-LSTM model

10.11591/csit.v1i2.p84-92
Mohamed Maher Ben Ismail
Recently, deep learning has been coupled with notice-able advances in Natural Language Processing related research. In this work, we propose a general framework to detect verbal offense in social networks comments. We introduce a partitional CNN-LSTM architecture in order to automatically recognize verbal offense patterns in social network comments. Specifically, we use a partitional CNN along with a LSTM model to map the social network comments into two predefined classes. In particular, rather than considering a whole document/comments as input as performed using typical CNN, we partition the comments into parts in order to capture and weight the locally relevant information in each partition. The resulting local information is then sequentially exploited across partitions using LSTM for verbal offense detection. The combination of the partitional CNN and LSTM yields the integration of the local within comments information and the long distance correlation across comments. The proposed approach was assessed using real dataset, and the obtained results proved that our solution outperforms existing relevant solutions.
Volume: 1
Issue: 2
Page: 84-92
Publish at: 2020-07-01

Building a multilingual ontology for education domain using monto method

10.11591/csit.v1i2.p47-53
Merlin Florrence
Ontologies are emerging technology in building knowledge based information retrieval systems. It is used to conceptualize the information in human understandable manner. Knowledge based information retrieval are widely used in the domain like education, artificial intelligence, healthcare and so on. It is important to provide multilingual information of those domains to facilitate multilanguage users. In this paper, we propose a multilingual ontology (MOnto) methodology to develop multilingual ontology applications for education domain. New algorithms are proposed for merging and mapping multilingual ontologies.
Volume: 1
Issue: 2
Page: 47-53
Publish at: 2020-07-01

High security mechanism: fragmentation and replication in the cloud with auto update in the system

10.11591/csit.v1i2.p78-83
Shrutika Khobragade , Rohini Bhosale , Rahul Jiwane
Cloud Computing makes immense use of internet to store a huge amount of data. Cloud computing provides high quality service with low cost and scalability with less requirement of hardware and software management. Security plays a vital role in cloud as data is handled by third party hence security is the biggest concern to matter. This proposed mechanism focuses on the security issues on the cloud. As the file is stored at a particular location which might get affected due to attack and will lost the data. So, in this proposed work instead of storing a complete file at a particular location, the file is divided into fragments and each fragment is stored at various locations. Fragments are more secured by providing the hash key to each fragment. This mechanism will not reveal all the information regarding a particular file even after successful attack. Here, the replication of fragments is also generated with strong authentication process using key generation. The auto update of a fragment or any file is also done here. The concept of auto update of filles is done where a file or a fragment can be updated online. Instead of downloading the whole file, a fragment can be downloaded to update. More time is saved using this methodology.
Volume: 1
Issue: 2
Page: 78-83
Publish at: 2020-07-01

DA systematic approach for solving mixed constraint fuzzy balanced and unbalanced transportation problem

10.11591/ijeecs.v19.i1.pp85-90
Ahmed Hamoud , Kirtiwant Ghadle , Priyanka Pathade
In the present article, a mixed type transportation problem is considered. Most of the transportation problems in real life situation have mixed type transportation problem this type of transportation problem cannot be solved by usual methods. Here we attempt a new concept of Best Candidate Method (BCM) to obtain the optimal solution. To determine the compromise solution of balanced mixed fuzzy transportation problem and unbalanced mixed fuzzy transportation problem of trapezoidal and trivial fuzzy numbers with new BCM solution procedure has been applied. The method is illustrated by the numerical examples.
Volume: 19
Issue: 1
Page: 85-90
Publish at: 2020-07-01

CFS: An effective statistical texture descriptor

10.11591/ijeecs.v19.i1.pp553-562
Alireza Akoushideh
Coarseness is an effective description for texture analysis and many approaches capture this property of texture in different methods. In this research, we propose a new texture descriptor (CFS) that works based on coarseness and the fineness similarity score. For tuning of its configuration, we collect coarse and fine textures based on human visual perception at first. After that, we relabel the "coarse" and "fine" categories of the gathered textures during the configuration of the operator in a proposed framework. We concatenated the features of two pyramid representations with the CFS information of the original texture (PCFS). In addition, we combine the PCFS information with our last proposed feature selection approach to improve the efficiency of the CFS. We evaluated the proposed feature extraction method with classification of one of the well-known data set, Outex. Experimental results depict satisfactory performance of the CFS with very low-dimensional feature length.
Volume: 19
Issue: 1
Page: 553-562
Publish at: 2020-07-01

Performance comparison of selection nanoparticles for insulation of three core belted power cables

10.11591/ijece.v10i3.pp2779-2786
Ahmed Thabet , Youssef Mobarak , Nourhan Salem , A. M. El-noby
This paper presents an investigation on the enhancement of electrical insulations of power cables materials using a new multi-nanoparticles technique. It has been studied the effect of adding specified types and concentrations of nanoparticles to polymeric materials such as PVC for controlling on electric and dielectric performance. Prediction of effective dielectric constant has been done for the new nanocomposites based on Interphase Power Law (IPL) model. The multi-nanoparticles technique has been succeeded for enhancing electric and dielectric performance of power cables insulation compared with adding individual nanoparticles. Finally, it has been investigated on electric field distribution in the new proposed modern insulations for three-phase core belted power cables. This research has focused on studying development of PVC nanocomposite materials performance with electric field distribution superior to the unfilled matrix, and has stressed particularly the effect of filler volume fraction on the electric field distribution.
Volume: 10
Issue: 3
Page: 2779-2786
Publish at: 2020-06-01

Transforming a Traditional Home Gateway into a Hardware-accelerated SDN Switch

10.11591/ijece.v10i3.pp2668-2681
Sebastiano Miano , Fulvio Risso
Nowadays, traditional home gateways must support increasingly complex applications while keeping their cost reasonably low.Software Defined Networking (SDN) would simplify the management of those devices, but such an approach is typically reserved for new hardware devices, specifically engineered for this paradigm.As a consequence, typical SDN-based home gateway performs the switching in software, resulting in non-negligible performance degradation.In this paper, we provide our experience and findings of adding the OpenFlow support into a non-OpenFlow compatible home gateway, exploiting the possible hardware speedup available in the existing platform.We present our solution that transparently offloads a portion of the OpenFlow rule into the hardware, while keeping the remaining ones in software, being able to support the presence of multiple hardware tables with a different set of features.Moreover, we illustrate the design choices used to implement the functionalities required by the OpenFlow protocol (e.g., packet-in, packet-out messages) and finally, we evaluate the resulting architecture, showing the significant advantage in terms of performance that can be achieved by exploiting the underlying hardware, while maintaining an SDN-type ability to program and to instantiate desired network operations from a central controller.
Volume: 10
Issue: 3
Page: 2668-2681
Publish at: 2020-06-01

Enhancing radial distribution system performance by optimal placement of DSTATCOM

10.11591/ijece.v10i3.pp2850-2860
S. F. Mekhamer , R. H. Shehata , A. Y. Abdelaziz , M. A. Al-Gabalawy
In this paper, A novel modified optimization method was used to find the optimal location and size for placing distribution Static Compensator in the radial distribution test feeder in order to improve its performance by minimizing the total power losses of the test feeder, enhancing the voltage profile and reducing the costs. The modified grey wolf optimization algorithm is used for the first time to solve this kind of optimization problem. An objective function was developed to study the radial distribution system included total power loss of the system and costs due to power loss in system. The proposed method is applied to two different test distribution feeders (33 bus and 69 bus test systems) using different Dstatcom sizes and the acquired results were analyzed and compared to other recent optimization methods applied to the same test feeders to ensure the effectiveness of the used method and its superiority over other recent optimization mehods. The major findings from obtained results that the applied technique found the most minimized total power loss in system ,the best improved voltage profile and most reduction in costs due power loss compared to other methods .
Volume: 10
Issue: 3
Page: 2850-2860
Publish at: 2020-06-01
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