Volume-7 Issue-4, January 2018 – International Journal of Innovative Technology and Exploring Engineering (IJITEE)

D2485017418

IJITEE Journal — Sat, 17 Dec 2022 06:57:27 +0000

The International Journal of Innovative Technology and Exploring Engineering (IJITEE) has ISSN: 2278-3075 (online), an open-access, peer-reviewed, periodical monthly international journal. This journal is published by Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP) in January, February, March, April, May, June, July, August, September, October, November and December.The journal aims to publish high–quality peer–reviewed original articles in the area of Engineering and Technology that covers Computer Science and Engineering, Information Technology, Electrical and Electronics Engineering, Electronics and Telecommunication, Mechanical Engineering, Civil Engineering and all interdisciplinary streams of Engineering and Technology. #Smart Computing and Information Processing #Signal and Speech Processing #Image Processing and Pattern Recognition #WSN#Artificial Intelligence and machine learning #Data mining and warehousing #Data Analytics #Deep learning #Bioinformatics #High Performance computing #Advanced Computer Networking #Cloud Computing #IoT #Parallel Computing on GPU #Human Computer Interactions #Recent Trends in Microelectronics and VLSI Design #Process & Device Technologies #Low-Power Design #Nanometer-Scale Integrated Circuits #Application specific ICs (ASICs) #FPGAs #Nanotechnology #Nano Electronics and Quantum Computing #3. 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Fabric Fault Detection using Local Derivative Pattern and Gabor Filter Approach
B. G. Chhapkhanewala¹, S. L. Vaikole²
¹Burhanuddin GulamAbbas Chhapkhanewala, Department of Computer Engineering, Datta Meghe College of Engineering, Airoli (Maharashtra), India.
²Dr. S. L. Vaikole, Associate Professor, Department of Computer Engineering, Datta Meghe College of Engineering, Airoli (Maharashtra), India.
Manuscript received on 17 January 2018 | Revised Manuscript received on 26 January 2018 | Manuscript Published on 30 January 2018 | PP: 13-20 | Volume-7 Issue-4, January 2018 | Retrieval Number: D2485017418/18©BEIESP
Open Access | Editorial and Publishing Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: The aim of this is to design a defect detection system using image processing techniques. Inspection process is very important for textile industry. Defects decrease the profits of manufacturers and cause undesirable loses. Therefore, to reduce loses manufactures initially started to employ experts to detect the currently available defects on the fabrics. An effective defect detection scheme for textile fabrics is designed in this article. Interestingly, this approach is particularly useful for patterned fabric. In the proposed method, firstly, Local Derivative Pattern (LDP) is adjusted to match with the texture information of non-defective fabric image via genetic algorithm. Secondly, adjusted optimal Gabor filter is used for detecting defects on defective fabric images and to be detected have the same texture background with corresponding defect-free fabric images. Gabor filter is adjusted to match with the texture information of non-defective fabric image via genetic algorithm. The novel high-order local pattern descriptor, local derivative patterns (LDP), for face recognition. LDP is to encode directional pattern features based on local derivative variations. The (n)th-order LDP is proposed to encode the (n-1)th-orders local derivative direction variations, which can be more detailed information than the first-order local pattern used in local binary patterns (LBP).
Keyword: Fabric Fault Detection, Gabor filter, Local Derivative Pattern (LDP), Support Vector Machines (SVM) classier.
Scope of the Article: Support Vector Machines

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D2483017418

IJITEE Journal — Sat, 17 Dec 2022 06:49:27 +0000

Evaluation of the Resource Leveling Techniques Employed by Contractors in the Kenyan Construction Industry
Shadrack Mutungi Simon
Shadrack Mutungi Simon, Department of Construction Management, Jomo Kenyatta University of Agriculture and Technology (JKUAT), Juja, Kenya.

Manuscript received on 17 January 2018 | Revised Manuscript received on 26 January 2018 | Manuscript Published on 30 January 2018 | PP: 8-12 | Volume-7 Issue-4, January 2018 | Retrieval Number: D2483017418/18©BEIESP
Open Access | Editorial and Publishing Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: The purpose of this research was to identify and evaluate the various resource leveling techniques employed by contractors in the Kenyan construction industry. The researcher adopted a survey research design whereby questionnaires were distributed among contractors. A response rate of 76% was achieved. The three most popular Resource Leveling techniques employed by contractors were found to be fast tracking, Microsoft Project and authorizing overtime. The three least popular Resource Leveling techniques were found to be splitting tasks into non-sequential pieces, delaying critical path tasks and doing nothing. The three most effective Resource Leveling techniques as experienced by contractors were found to be fast tracking, Microsoft Project and substituting resource of equal or greater capability. The three least effective Resource Leveling techniques were found to be extending critical path tasks, delaying critical path tasks and doing nothing. Contractors were generally found to be aware of the different available options for Resource Leveling. The techniques found to be least effective in practice are theoretically known to have the highest negative impact on the project schedule. This reinforces the idea that contractors are not only aware of the various resource leveling techniques existing in theory but also understand their effects on the project performance.
Keyword: Resource Leveling, Construction, Contractors
Scope of the Article: Construction Engineering

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D2482017418

IJITEE Journal — Sat, 17 Dec 2022 06:45:25 +0000

The Shunt Active Power Filter to Compensate Reactive Power and Harmonics with Optimized PI controller in a 3 Phase 3 Wire Distribution Network
Swapnil S. Managule¹, Sanjay Dabhole², Sanjeev Gupta³
¹Mr. Swapnil S. Managule, M.Tech. Scholar, Department of Electronics Engineering, Sarvepalli Radhakrishnan University, Bhopal (M.P), India.
²Dr. Sanjay Dabhole, Professor and Head, Department of Electronics Engineering, Walchand College of Engineering, Sangli (Maharashtra), India.
³Dr. Sanjeev Gupta, RKDF Institute of Science and Technology (RKDFIST), Bhopal (M.P) India.
Manuscript received on 17 January 2018 | Revised Manuscript received on 26 January 2018 | Manuscript Published on 30 January 2018 | PP: 1-7 | Volume-7 Issue-4, January 2018 | Retrieval Number: D2482017418/18©BEIESP
Open Access | Editorial and Publishing Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: In this paper is to study the denomination Power quality and large refers to maintaining a proximal sinusoidal power distribution bus voltage at rated magnitude and frequency. This is mainly affected by the generation of harmonics. Even though electronic and non-linear devices are flexible, economical and energy efficient, they may degrade power quality by creating harmonic currents and consuming excessive reactive power. A family of various shunt hybrid active power filters has been explored in shunt and series configurations to compensate for different types of nonlinear loads. They provide controlled current injection to remove harmonic current from the source side of electric system and also can improve the power factor. This paper shows the method of improving the power quality using shunt active power filter with proposed optimized PI. The proposed topic comprises of PI controller, filter hysteresis current control loop, dc link capacitor. The switching signal generation for filter is from hysteresis current controller techniques. With the all these element shunt active power filter reduce the total harmonic distortion. Its source current, compensating current and THD values are studied, then PI control strategy is applied then the differences in THD are compared. The PI feedback compensation design starts with the small signal system’s transfer function. Then an optimum constant of PI for a Shunt-APF is proposed and implemented to enhance its response to compensation of harmonics of linear and non-linear loads. The obtained results have demonstrated the ability to compensate the current harmonics effectively under distorted source conditions. The fluctuation in the dc bus voltage of the filter depends on the compensation speed of the outer loop that regulates the dc bus voltage. The proposed shunt active filter model uses balanced linear and non-linear load works successfully lowers the THD within IEEE norms and satisfactorily works to compensate current harmonics. The model is made in MATLAB / SIMULINK and successfully reduces the harmonic in the source current. Keywords:
Keyword: Active Power Filter, threshold harmonics distortions, quality factor, transfer function, hysteresis etc.
Scope of the Article: Logic, Functional programming and Microcontrollers for IoT

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