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Institution

Chittagong University of Engineering & Technology

EducationChittagong, Bangladesh
About: Chittagong University of Engineering & Technology is a education organization based out in Chittagong, Bangladesh. It is known for research contribution in the topics: Renewable energy & Dielectric. The organization has 1200 authors who have published 1444 publications receiving 10418 citations. The organization is also known as: Engineering College, Chittagong & Bangladesh Institute of Technology, Chittagong.


Papers
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Book ChapterDOI
03 Oct 2019
TL;DR: A potential candidate selection approach using a combination of rough and fuzzy sets that can recommend potential candidates efficiently is proposed.
Abstract: Every company often needs to recruit efficient people for the betterment of the company. Human Resource (HR) department of a company plays main role in recruitment process of employees. In this recruitment process, in most of the cases they ask the job seekers to submit their resumes via online. In general, many applicants submit their resumes for jobs. Manual analysis of these resumes for obtaining potential candidates for the organization is very time consuming and inefficient. Considering this fact, in this paper, we propose a potential candidate selection approach using a combination of rough and fuzzy sets. Our system considers all resumes under consideration and extracts necessary information such as skills, department, CGPA, experience etc. from each resume. After extracting necessary information from the resumes, the system applies dimension reduction technique using the concepts of rough set. Our system then clusters the information using fuzzy c-means clustering algorithm. Finally, the system generates outputs based on the priority of the job requirements from that clustered information. We have conducted several experiments to show the effectiveness of our approach. From our experimental evaluation, we can say that our approach can recommend potential candidates efficiently.

2 citations

Proceedings ArticleDOI
01 Nov 2019
TL;DR: The modified formulation enables RSC of DFIG to track the reference current with additional features of reduced switching frequency and voltage tracking ensuring better performance.
Abstract: This paper presents predictive rotor current control of a variable speed wind energy conversion system. The conversion chain uses a doubly fed induction generator (DFIG) model employing finite control set model predictive control (FCS-MFC) for the controlling purpose of rotor side converter (RSC). The standard formulation selects the optimal switching state of the converter minimizing the error between predicted orthogonal rotor current components and their reference values which is then applied to the RSC of DFIG. The modified formulation enables RSC of DFIG to track the reference current with additional features of reduced switching frequency and voltage tracking ensuring better performance.

2 citations

Proceedings ArticleDOI
23 May 2014
TL;DR: A framework for ontology generalization that can easily generalize two or more similar type ontologies into one ontology is developed.
Abstract: In this paper, we have developed a framework for ontology generalization that can easily generalize two or more similar type ontologies into one ontology. The proposed system first checks the similarity among the ontologies. It then merges the similar ontologies into one more general ontology. We have tested our developed ontology generalization approach with several ontologies. We have found that our system can perform the generalization of ontologies with a certain level of accuracy.

2 citations

Proceedings ArticleDOI
01 Jan 2019
TL;DR: In this article, a metamaterial (MTM) integrated bandwidth-enhanced antenna for modern wireless communication systems is presented. But the proposed antenna can only operate in the 1.5-10 GHz band with a percentage bandwidth of 147.8%.
Abstract: This paper represents a metamaterial (MTM) integrated bandwidth-enhanced antenna for modern wireless communication systems. The MTM ultra wide-band (UWB) antenna comprises of two unit cells on the top of the substrate, a circular disc monopole, and a partial ground plane. The unit cell consists of a split ring resonator. Without unit cells, the monopole antenna can operate in a wide band of impedance bandwidth of 7.5 GHz, corresponding to a percentage bandwidth of 120% (2.5-10 GHz). After the integration of MTMs, the proposed antenna can operate from 1.5-10 GHz range with a percentage bandwidth of 147.8%. So, MTMs integration can provide additional operation at 1.5-2.5 GHz, thus the bandwidth is broadened. As the dimensions of the unit cells are much smaller than the resonant frequency, miniaturization of the antenna size can be achieved. Different simulated antenna performance parameters such as reflection coefficients, radiation patterns, and gain are analyzed. The simulated gains of the proposed design at 1.5, 2.4, 5.8 and 10 GHz are 1.17 dBi, 2.18 dBi, 3.6 dBi, and 4.05 dBi, respectively. The proposed antenna could be a potential contender for different remote correspondence frameworks, for example, GPS, Wi-Fi, WLAN, and RADAR.

2 citations

Proceedings ArticleDOI
01 Jul 2019
TL;DR: The results show that the proposed controller can regulate the DC output voltage over a wide range of load and input voltage variation while making the input current sinusoidal with improved power factor.
Abstract: For regulation of DC output voltage with unity power factor of AC-DC converter, a controlling procedure has been introduced in this paper which accounts for the effects of harmonics in non-linear loads. The scheme incorporates a single phase full bridge rectifier in conjunction with a PFC boost converter controlled by the fuzzy logic controller. The non-linear effects of bridge rectifier is compensated by hysteresis current control technique directed by the boost converter. The results show that the proposed controller can regulate the DC output voltage over a wide range of load and input voltage variation while making the input current sinusoidal with improved power factor.

2 citations


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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20234
202240
2021243
2020241
2019228
2018119