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29,922 Article Results

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

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

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

Factors influencing job satisfaction among academic staffs

10.11591/ijere.v9i2.20509
Choon Hee Ong , Chong Hui Shi , Tan Owee Kowang , Goh Chin Fei , Lim Lee Ping
The purpose of this study is to examine the relationship between pay and benefits, work environment, top management leadership, workload and job satisfaction among academic staffs in a private academic institution in Malaysia. Motivation-Hygiene Theory, Maslow’s Needs Hierarchy theory and Leader-Member Exchange (LMX) theory were used to establish the theoretical framework of this study. Questionnaire survey method was employed to collect data which yielded 82 responses in this study. Statistical Package for Social Science (SPSS) was used to perform data analysis throughout the study. All study variables were found to have significant positive relationships with job satisfaction among academic staffs in the selected institution. Top management leadership was discovered to have the most significant relationship with job satisfaction. The findings of this research provide a clear message to the top management that leadership plays an important role in enhancing job satisfaction of the academic staffs. Hence, it is suggested that the institution management should adopt appropriate leadership style and establish effective strategies and policies that aim to increase job satisfaction and performance of the academic staffs.
Volume: 9
Issue: 2
Page: 285-291
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

Development of photodiode via the rapid melt growth (RMG) materials for energy conversion device

10.11591/ijeecs.v18.i3.pp1188-1198
Nurfarina Zainal , S. J.N. Mitchell , D. W. McNeill , W. M. Jubadi
Germanium (Ge) photodiodes were fabricated with the new RMG crucible materials that were established in this study. Results show that Ge large square patterns with size of 208 µm x 208 µm were unable to be achieved if ion implantation process was used in formation of photodiode. Delamination can be observed on all test samples during polycrystalline silicon (poly-Si) deposition at 620 oC. This result was in contrast to a previous intrinsic Ge test structure, where good formation of squares with size similar to that 208 µm x 208 µm had been successfully attained even with high annealing temperature above 938 oC. This indicates that doping through ion implantation has affected Ge film and caused delamination even at low temperature. However, good formations of Ge stripes were attained along with the ion implantation process in fabricating the photodiode. Results show that the sheet resistance of Ge stripe has significantly decreased compared to previous Ge resistors. The better resistance is due to the thicker (500 nm) Ge layer. In the case of Ge stripes with a p-i-n junction, only small fraction of test samples have shown a diode characteristic but with high leakage current. Results of I-V measurement show that a large fraction of test samples produced resistor characteristics. The high leakage current is believed due to the fact that the Ge films formed at this stage were polycrystalline in structure. Thus the grain size of Ge stripe has affected the performance. Slight changes on the I-V characteristic of single Ge can be observed when samples were tested under illumination. Therefore, it has potential to be used for future development of energy conversion device. 
Volume: 18
Issue: 3
Page: 1188-1198
Publish at: 2020-06-01

Buck converter optimization using P&O algorithm for PV system based battery charger

10.11591/ijpeds.v11.i2.pp844-850
Zainul Abidin , Adharul Muttaqin , Eka Maulana , M. Gilang Ramadhan
In this research, battery charger based on Photovoltaic (PV) system consists of buck converter as useful PV module interface was fabricated. Since output power of PV module changes quickly due to changing solar radiation, optimization is required. One of the easy and cheap optimization techniques is by implementing Perturb and Observe (P&O) algorithm for controlling switch of the buck converter. The P&O algorithm tracks maximum power point by generating suitable duty cycle for switching of the buck converter. The objective of this paper is to present the experimental proof of the P&O algorithm implementation in optimizing performance of the buck converter. The experimental results prove that the P&O algorithm can optimize the work of the buck converter and support shorter charging time by producing higher output voltage and power.
Volume: 11
Issue: 2
Page: 844-850
Publish at: 2020-06-01

Memory and I/O optimized rectilinear steiner minimum tree routing for VLSI

10.11591/ijece.v10i3.pp2959-2968
Latha N. R. , G.R. Prasad
As the size of devices are scaling down at rapid pace, the interconnect delay play a major part in performance of IC chips. Therefore minimizing delay and wire length is the most desired objective. FLUTE (Fast Look-Up table) presented a fast and accurate RSMT (Rectilinear Steiner Minimum Tree) construction for both smaller and higher degree net. FLUTE presented an optimization technique that reduces time complexity for RSMT construction for both smaller and larger degree nets. However for larger degree net this technique induces memory overhead, as it does not consider the memory requirement in constructing RSMT. Since availability of memory is very less and is expensive, it is desired to utilize memory more efficiently which in turn results in reducing I/O time (i.e. reduce the number of I/O disk access). The proposed work presents a Memory Optimized RSMT (MORSMT) construction in order to address the memory overhead for larger degree net. The depth-first search and divide and conquer approach is adopted to build a Memory optimized tree. Experiments are conducted to evaluate the performance of proposed approach over existing model for varied benchmarks in terms of computation time, memory overhead and wire length. The experimental results show that the proposed model is scalable and efficient.
Volume: 10
Issue: 3
Page: 2959-2968
Publish at: 2020-06-01
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