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

29,922 Article Results

Systematising troubleshooting of disputes in network

10.11591/ijres.v10.i1.pp32-36
Sowmya K. B. , Thejaswini A.
With the growing network size, virtualization everywhere, it is getting more difficult to configure and manage the network devices. Software Defined Networking (SDN) is a way to address these problems. Application Centric Infrastructure (ACI) is the Cisco’s solution to SDN, with centralized automation and policy-driven application profiles. If there is any bug in the network or problem with the expected functionality of the network, ACI cases are opened in the Technical Assistance Centre (TAC) for troubleshooting the issue. Engineers currently troubleshoot ACI cases manually by using Command Line Interface (CLI) and trace for different events triggered by the policy pushes by logs generated at different stages of the ACI and from different servers responsible for this, which indeed is a very tedious, time consuming task and is prone to manual errors. This paper describes a way to automate the entire ACI troubleshooting process with the user-friendly GUI which can show the entire information needed for troubleshooting by extracting relevant information at every layer. By making use of FSM models the proposed solution can be extended to other areas which involve log analysis using CLI to extract relevant information and is not just limited to ACI.
Volume: 10
Issue: 1
Page: 32-36
Publish at: 2021-03-01

Model of emergence evacuation route planning with contra flow and zone scheduling in disaster evacuation

10.11591/csit.v2i1.p1-10
Dedy Hartama , Herman Mawengkang , Muhammad Zarlis , Rahmad Widia Sembiring
Evacuation is characterized by rapid movement of people in unsafe locations or disaster sites to safer locations. The traffic management strategy for commonly used evacuations is the use of Shoulder-Lane, contra-flowing traffic and gradual evacuation. Contra-flow has been commonly used in traffic management by changing traffic lanes during peak hours. To implement the contra-flow operation, there are two main problems that must be decided, namely Optimal contra-flow lane configuration problem (OCLCP) and optimal contra-flow scheduling. Within the OCSP there are two approaches that can be used: zone scheduling and flow scheduling. Problem of contra-flow and zone scheduling problem is basically an Emergence evacuation route planning (EERP) issue. This research will discuss EERP with contra-flow and zone scheduling which can guarantee the movement of people in disaster area to safe area in emergency situation.
Volume: 2
Issue: 1
Page: 1-10
Publish at: 2021-03-01

Feature extraction and classification methods of facial expression: A survey

10.11591/csit.v2i1.p26-32
Moe Moe Htay
Facial Expression is a significant role in affective computing and one of the non-verbal communication for human computer interaction. Automatic recognition of human affects has become more challenging and interesting problem in recent years. Facial expression is the significant features to recognize the human emotion in human daily life. Facial expression recognition system (FERS) can be developed for the application of human affect analysis, health care assessment, distance learning, driver fatigue detection and human computer interaction. Basically, there are three main components to recognize the human facial expression. They are face or face’s components detection, feature extraction of face image, classification of expression. The study proposed the methods of feature extraction and classification for FER.
Volume: 2
Issue: 1
Page: 26-32
Publish at: 2021-03-01

Survey of wormhole attack in wireless sensor networks

10.11591/csit.v2i1.p33-42
Umashankar Ghugar , Jayaram Pradhan
From the last decade, a wireless sensor network (WSN) has a very important role over the networks. The primary features of WSN include satellite communication, broadcast channel, hostile environment, medical system and data gathering. There are a lot of attacks available in WSN.In wormhole attack scenario is brutal from other attacks, which is smoothly resolved in networks but tough to observe. This survey paper is an experiment to observing threats and also focuses on some different method to identify the wormhole attacks.
Volume: 2
Issue: 1
Page: 33-42
Publish at: 2021-03-01

Predicting heart failure using a wrapper-based feature selection

10.11591/ijeecs.v21.i3.pp1530-1539
Minh Tuan Le , Minh Thanh Vo , Nhat Tan Pham , Son V.T Dao
In the current health system, it is very difficult for medical practitioners/physicians to diagnose the effectiveness of heart contraction. In this research, we proposed a machine learning model to predict heart contraction using an artificial neural network (ANN). We also proposed a novel wrapper-based feature selection utilizing a grey wolf optimization (GWO) to reduce the number of required input attributes. In this work, we compared the results achieved using our method and several conventional machine learning algorithms approaches such as support vector machine, decision tree, K-nearest neighbor, naïve bayes, random forest, and logistic regression. Computational results show not only that much fewer features are needed, but also higher prediction accuracy can be achieved around 87%. This work has the potential to be applicable to clinical practice and become a supporting tool for doctors/physicians.
Volume: 21
Issue: 3
Page: 1530-1539
Publish at: 2021-03-01

Impact of encryption and decryption techniques for high speed optical domain

10.11591/csit.v2i1.p11-15
Rishabh Singh , Ghanendra Kumar , Chakresh Kumar
This project proposes the design of ultrafast communication circuit which can enable the high speed secured data transmission at 50 Gb/s and 100 Gb/s by the use of distributed Raman amplifier, erbium – doped fiber amplifier (EDFA), filter, single mode fiber along with fiber bragg grating (FBG) and attenuators. The simulation of the suggested optical circuit involves the use of parameters of Raman amplifier and EDFA and other components included in the optical structure. The design also includes the use of encryption and decryption techniques to ensure secured communication. Thus, realization of these circuits at 50 Gb/s and 100 Gb/s will enable the future optical communication applications for ultrafast data transmission to large distances.
Volume: 2
Issue: 1
Page: 11-15
Publish at: 2021-03-01

MLGrafViz: Multilingual ontology visualization plug-in for protégé

10.11591/csit.v2i1.p43-48
Merlin Florrence
Natural language processing (NLP) is rapidly increasing in all domains of knowledge acquisition to facilitate different language user. It is required to develop knowledge based NLP systems to provide better results. Knowledge based systems can be implemented using ontologies where ontology is a collection of terms and concepts arranged taxonomically. The concepts that are visualized graphically are more understandable than in the text form.  In this research paper, new multilingual ontology visualization plug-in MLGrafViz is developed to visualize ontologies in different natural languages. This plug-in is developed for protégé ontology editor. This plug-in allows the user to translate and visualize the core ontology into 135 languages.
Volume: 2
Issue: 1
Page: 43-48
Publish at: 2021-03-01

An optimized encryption algorithm and F function with dynamic substitution for creating S-box and P-box entries for blowfish algorithm

10.11591/csit.v2i1.p16-25
Rekha C , Krishnamurthy G. N.
In the field of cryptography, there has been a massive amount of enhancement in manipulating the plaintext which is unreadable, less prone to crackers and hackers, again manipulating this unreadable form to get back plaintext in some way. The Blowfish algorithm is a block cipher, has complex in structure in generating P-box and S-box entries using encryption algorithm. By simplifying the structure of encryption algorithm as well as F function with dynamic substitution, this can improve the performance by generating P-box and S-box entries of blowfish algorithm. In this paper, the proposed method simplifies the structure to produce P-box and S-box entries in order to reduce computational cost and demonstrates the performance of blowfish. The approach considers different security aspects namely EQ analysis, KS analysis, AV analysis, Entropy, Floating Frequency analysis and correlation of horizontally adjacent pixels in an encrypted image.
Volume: 2
Issue: 1
Page: 16-25
Publish at: 2021-03-01

A Review on harmonics elimination in real time for cascaded H-bridge multilevel inverter using particle swarm optimization

10.11591/ijpeds.v12.i1.pp228-240
Muhammad Tayyab Yaqoob , Mohd Khairil Rahmat , Siti Marwangi Mohamad Maharum , Mazliham Mohd. Su’ud
Renewable energy has a great importance for power generation as it does not use the fossils fuels. Energy generated from alternative energy sources are weather dependent. To generate a continuous power to meet the load requirements, Battery energy storage system are used. Power conversion process must be much efficient as possible to convert the DC stored energy into AC. This conversion process is usually done by the help of inverters. This paper gives the brief overview on three main categories of multilevel inverter like cascaded h-bridge, neutral point clamped and flying capacitor multilevel inverter and highlights their advantages which can also help the scholars to deeply explore the categories of multilevel inverter. Harmonic elimination is usually done by controlling the switching angles of the inverter. Among all the switching angles techniques, selective harmonic elimination pulse width modulation (SHEPWM) technique is widely used, that has also discussed in this paper. Furthermore, to eliminate the harmonics using SHEPWM, it has the set of nonlinear transcendental equations, these set of equations can be effieceintly solved by the optimization methods. The most efficient and reliable optimization method like particle swarm optimization has been discussed with multiple objective functions in this paper. This paper will help the scholars to understand the finest category of multilevel inverter for harmonic elimination in terms of efficiency and output quality.
Volume: 12
Issue: 1
Page: 228-240
Publish at: 2021-03-01

Haar wavelet method for solving coupled system of fractional order partial differential equations

10.11591/ijeecs.v21.i3.pp1444-1454
Abbas AL-Shimmary , Sajeda Kareem Radhi , Amina Kassim Hussain
This paper deal with the numerical method, based on the operational matrices of the Haar wavelet orthonormal functions approach to approximate solutions to a class of coupled systems of time-fractional order partial differential equations (FPDEs.). By introducing the fractional derivative of the Caputo sense, to avoid the tedious calculations and to promote the study of wavelets to beginners, we use the integration property of this method with the aid of the aforesaid orthogonal matrices which convert the coupled system under some consideration into an easily algebraic system of Lyapunov or Sylvester equation type. The advantage of the present method, including the simple computation, computer-oriented, which requires less space to store, time-efficient, and it can be applied for solving integer (fractional) order partial differential equations. Some specific and illustrating examples have been given; figures are used to show the efficiency, as well as the accuracy of the, achieved approximated results. All numerical calculations in this paper have been carried out with MATLAB.
Volume: 21
Issue: 3
Page: 1444-1454
Publish at: 2021-03-01

Investigation of reliability assessement in power electronics circuits using machine learning

10.11591/ijpeds.v12.i1.pp558-566
Soumya Rani Mestha , Pinto Pius A.J
Recent advances in power electronics (PE) and machine learning (ML) have prompted the technologists to adapt these new technologies to improve the reliability of PE systems. During the process, a lot of investigations on the performance and reliability of PE systems is carried out. The intention of this paper is to present a comprehensive study of advances in the field of reliability of PE systems using machine learning. Recent publications in this regard are analysed and findings are tabulated. In addition to this, literatures published in the prediction of remaining useful life (RUL) of power electronic components is discussed with emphasis on its limitations.
Volume: 12
Issue: 1
Page: 558-566
Publish at: 2021-03-01

The influence of sorogan method in learning history to increase historical understanding and historical awareness

10.11591/ijere.v10i1.20972
Muhammad Rijal Fadli , Ajat Sudrajat , Aman Aman , Kian Amboro
The purpose of this study was to examine the influence of the sorogan method in history learning to improve students' historical understanding and historical awareness. The research method used a quasi-experimental nonequivalent control group design, and the sampling technique used a cluster sampling with a sample size of 96 students. Collecting data through observation, interviews, and tests of historical understanding and awareness. Meanwhile, data analysis to determine the effect and differences of the sorogan method to increase understanding and historical awareness using the independent sample t-test and N-gain score test. The results showed that there were a significant influence and difference between the two groups, namely the experimental and control classes based on the results of the independent sample t-test, the hypothesis H0 was rejected with a significance value of 0.000<0.05, further strengthened by the results of the N-gain score test which was included in the criteria low and medium. This means that there is an influence and increase from the implementation of the sorogan method on historical understanding and awareness and getting a positive response from teachers and students, because the sorogan method is student-centered, and the teacher acts as tutorship/mentorship.
Volume: 10
Issue: 1
Page: 300-307
Publish at: 2021-03-01

Adaptive dynamic programming algorithm for uncertain nonlinear switched systems

10.11591/ijpeds.v12.i1.pp551-557
Dao Phuong Nam , Nguyen Hong Quang , Nguyen Nhat Tung , Tran Thi Hai Yen
This paper studies an approximate dynamic programming (ADP) strategy of a group of nonlinear switched systems, where the external disturbances are considered. The neural network (NN) technique is regarded to estimate the unknown part of actor as well as critic to deal with the corresponding nominal system. The training technique is simul-taneously carried out based on the solution of minimizing the square error Hamilton function. The closed system’s tracking error is analyzed to converge to an attraction region of origin point with the uniformly ultimately bounded (UUB) description. The simulation results are implemented to determine the effectiveness of the ADP based controller.
Volume: 12
Issue: 1
Page: 551-557
Publish at: 2021-03-01

Performance analysis of 30 MW wind power plant in an operation mode in Nouakchott, Mauritania

10.11591/ijpeds.v12.i1.pp532-541
Bamba Heiba , Ahmed Med Yahya , Mohammed Qasim Taha , Nadhira Khezam , Abdel Kader Mahmoud
In this paper, the performance analysis of a 30 MW wind power plant is performed. The farm consists of fifteen (T1-T15) G9 7/2000/GAMESA 2 MW grid-connected turbines. The farm is in operation mode installed 28 km south of Nouakchott city in Mauritania. The analyzed data are monitored from July 1st, 2015 (the first operation day of the power plant) to December 31st, 2019. The parameters of performance evaluation are power generation, capacity factor, machine availability, grid availability, and system availability. It is observed from data analysis, the wind farm supplies a total energy of 507.39 GWh to the power grid and have a high average capacity factor of 42.55%. T1 produces the highest amount of electrical energy among the other turbines with a total energy output of 35.46 GWh, an average capacity factor of 44.97%, and operating hours of 33,814 hours. While T12 produced the minimum amount of energy in this period, the difference in energy compared to T1 is 4.563 GWh. It is observed that the availability of the network is unstable and needs improvement, varying between 90.86% in 2016 and 93.16% in 2018. In the first year of operation, 97.06% of the turbines were available. However, the average availability of the wind farm is approximately 94% during the total study period.
Volume: 12
Issue: 1
Page: 532-541
Publish at: 2021-03-01

A scalable FPGA based accelerator for Tiny-YOLO-v2 using OpenCL

10.11591/ijres.v8.i3.pp206-214
Yap June Wai , Zulkanain Mohd Yussof , Sani Irwan Md Salim
Deep Convolution Neural Network (CNN) algorithm have recently gained popularity in many applications such as image classification, video analytic, object recognition and segmentation. Being compute-intensive and memory expensive, CNN computations are common accelerated by GPUs with high power dissipations. Recent studies show implementation of CNN on FPGA and it gain higher advantage in term of energy-efficient and flexibility over Software-configurable-GPUs. The proposed framework is verified by implement Tiny-YOLO-v2 on De1SoC. The design development in this project is HLS approach to ease effort from writing complex RTL codes and provide fast verification through emulation and profiling tools provided in the OpenCL SDK. To best of our knowledge, this is the first implementation of Tiny-YOLO-v2 CNN based object detection algorithm on a small scale De1SoC board using Intel FPGA SDK for OpenCL approach.
Volume: 8
Issue: 3
Page: 206-214
Publish at: 2021-02-22
1 2 3
...
1994 1995
Show 1010 of 1995

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