34,543 results
Search Results
2. A Scientific Paper Recommendation Framework Based on Multi-Topic Communities and Modified PageRank
- Author
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Agung Hadhiatma, Azhari Azhari, and Yohanes Suyanto
- Subjects
General Computer Science ,General Engineering ,General Materials Science ,Electrical and Electronic Engineering - Published
- 2023
3. Effect of Electric-Field Components on the Flashover Characteristics of Oil-Paper Insulation Under Combined AC-DC Voltage
- Author
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Jin Fubao and Zhou Yuanxiang
- Subjects
General Computer Science ,General Engineering ,General Materials Science ,Electrical and Electronic Engineering - Published
- 2023
4. Review Paper on Hardware of Reconfigurable Intelligent Surfaces
- Author
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Biswarup Rana, Sung-Sil Cho, and Ic-Pyo Hong
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General Computer Science ,General Engineering ,General Materials Science ,Electrical and Electronic Engineering - Published
- 2023
5. A Novel Approach for Cardiotocography Paper Digitization and Classification for Abnormality Detection
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Sibel Öztürk, Safiye Ağapinar Şahin, Ayşe Nur Aksoy, Berna Ari, and Alex Akinbi
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General Computer Science ,General Engineering ,General Materials Science ,Electrical and Electronic Engineering - Published
- 2023
6. Moisture Assessment of Oil-Immersed Paper Based on Dynamic Characteristics of Frequency Domain Spectroscopy
- Author
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Qingchuan Xu, Shengkang Wang, Fuchang Lin, and Hua Li
- Subjects
oil-immersed paper ,Frequency domain spectroscopy (FDS) ,General Computer Science ,General Engineering ,moisture assessment ,General Materials Science ,oil-paper insulation ,dynamic characteristic ,Electrical engineering. Electronics. Nuclear engineering ,TK1-9971 - Abstract
In on-site measurement, as the transformer’s structure is often unknown, the application of frequency domain spectroscopy (FDS) is greatly limited in moisture assessment of transformer. This paper proposes a moisture assessment method for oil-immersed paper based on the dynamic characteristic frequency even for an unknown transformer structure. FDS tests are performed on the oil-paper insulation, corresponding oil-immersed paper, and mineral oil under different moisture conditions. The moisture criterion of oil-immersed paper and the influence of the structural parameters on the calculated frequency spectroscopy at different frequencies are discussed. It is concluded that the moisture criterion’s effectiveness, which indicates the sensitivity of assessed moisture content to the error of the tan $\delta $ , changes at different frequencies. Moreover, there are some frequencies at which tan $\delta $ is not influenced by structural parameters and is close to the measured value, which are regarded as “characteristic frequencies.” Based on the characteristic frequency, the moisture content of oil-immersed paper is assessed according to the frequency spectroscopy of oil-paper insulation without the structural parameters. The result shows that the assessing frequency changes under different moisture conditions, and the error of the assessed moisture content is less than 0.1%.
- Published
- 2022
7. A Comprehensive Tensor Framework for the Clustering of Hyperspectral Paper Data With an Application to Forensic Document Analysis
- Author
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Jobin Francis, Baburaj Madathil, Sudhish N. George, and Sony George
- Subjects
Hyperspektral avbildning ,Hyperspectral imaging ,hyperspectral imaging (HSI) ,General Computer Science ,General Engineering ,Forensic document analysis ,General Materials Science ,Electrical engineering. Electronics. Nuclear engineering ,self-expressiveness property ,clustering ,TK1-9971 - Abstract
In forensic document analysis, the authenticity of a document must be properly checked in the context of suspected forgery. Hyperspectral Imaging (HSI) is a non-invasive way of detecting fraudulent papers in a multipage document. The occurrence of a forged paper in a multi-page document may have a substantial difference from rest of the papers in its age, type, color, texture, and so on. Each pixel in an HSI data can be used as the material fingerprint for the spatial point it corresponds to. Hence, hyperspectral data of paper samples made of the same substance have similar characteristics and can be grouped into a single cluster. Similarly, paper samples made of different substances have different spectral properties. This paper relies on this heuristic and proposes a tensor based clustering framework for hyperspectral paper data, with an application to detect the forged papers in multi-page documents. Information embedded in the hyperspectral patches of the papers to be clustered is arranged into individual lateral slices of a third-order tensor in this framework. Further, this work employs the self-expressiveness property of submodules and an objective function is formulated to extract self-expressive representation tensor with low multirank and f-diagonal structure. Objective function of the proposed method incorporates $l_{\frac {1}{2}}$ -induced Tensor Nuclear Norm (TNN) and $l_{\frac {1}{2}}$ regularization to impart better low rankness and f-diagonal structure to the representation tensor. Experimental results of the proposed method were compared to the state-of-the-art subspace clustering approaches. The results demonstrate improved performance of the proposed method over the existing clustering algorithms.
- Published
- 2022
8. Influence of Aging on Creepage Discharge Characteristics of Oil-Paper Insulation Under AC-DC Combined Voltage
- Author
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Liang Bin, Zhou Yuanxiang, and Jin Fubao
- Subjects
Aging ,Materials science ,General Computer Science ,020209 energy ,02 engineering and technology ,01 natural sciences ,law.invention ,Dc voltage ,law ,0103 physical sciences ,0202 electrical engineering, electronic engineering, information engineering ,Arc flash ,creepage discharge ,General Materials Science ,Composite material ,Transformer ,010302 applied physics ,AC-DC combined voltage ,General Engineering ,inception voltage ,Electrode ,oil-paper insulation ,lcsh:Electrical engineering. Electronics. Nuclear engineering ,Stage (hydrology) ,DC voltage component ,lcsh:TK1-9971 ,Voltage - Abstract
There is a relative lack of research on the development of creepage discharge in aged oil-paper insulation subjected to AC-DC combined voltage in converter transformers. In this study, based on the physical and chemical properties of oil-paper, we propose a sphere-plate electrode model to study the creepage discharge parameters and characteristic spectra of aged oil-paper subjected to AC-DC combined voltage. The results show that the creepage discharge inception voltage of aged oil-paper is related to the AC voltage component of the AC-DC combined voltage. However, when the DC voltage component is 60 kV, the flashover phenomenon was found to occur in one of the severely aged samples before the AC voltage was applied. Despite being subjected to the same DC voltage, the flashover phenomenon did not occur in three other samples aged to different degrees. Large-amplitude discharges were found to appear earlier in the severely aged samples. At the same creepage discharge stage, as the aging time of the oil-paper increased, the number of large-amplitude discharges was found to rapidly increase, and the time interval between adjacent discharges was found to gradually decrease. At each stage of the creepage discharge, the small-amplitude discharge has a “hump” shaped distribution. The larger the DC voltage component, the shorter the endurance time of aged oil-paper, and the more severe the damage to the oil-paper. The DC voltage component was found to have an accelerating effect on the development of creepage discharge in aged oil-paper insulation.
- Published
- 2021
9. A Comprehensive Evaluation of Metadata-Based Features to Classify Research Paper’s Topics
- Author
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Ghulam Mustafa, Muhammad Usman, Muhammad Tanvir Afzal, Abdul Shahid, and Anis Koubaa
- Subjects
Word2Vector (W2V) ,decision tree (DT) ,association of computing machinery (ACM) ,metadata ,Electrical engineering. Electronics. Nuclear engineering ,k-nearest neighbor’s (KNN) ,Research paper classification ,TK1-9971 - Abstract
The existing plethora of document classification techniques exploits different data sources either from the content or metadata of research articles. Various journal publishers like Springer, Elsevier, IEEE, etc., do not provide open access to the content of research articles, whereas metadata is freely available there. Metadata like title, keyword, and abstract can serve as a better alternative to the content in various scenarios. In the current literature, researchers have assessed the role of some of the metadata individually. We believe that the collective contribution of metadata parameters can play a significant role in classifying research papers. This paper presents a comprehensive evaluation of the role of metadata, individually as well as in combinations to achieve the objective of research paper classification. Moreover, we have classified the research articles into ACM hierarchy root categories (e.g. general literature, hardware, software, etc.). In this comprehensive evaluation, we have assessed all the possible combinations of metadata features against different classifiers such as Random Forest, K Nearest Neighbor, and Decision Tree. The results of this research reveal that the title & keywords combination outperforms other combinations with an F-measure score of 0.88.
- Published
- 2021
10. An Electroadhesive Paper Gripper With Application to a Document-Sorting Robot
- Author
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Hideaki Itoh, Takuya Okamoto, Hisao Fukumoto, and Hiroshi Wakuya
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General Computer Science ,General Engineering ,General Materials Science ,Electrical and Electronic Engineering - Published
- 2022
11. Investigations of the Applicability of Oil-Palm Empty Fruit Bunch as Paper Insulation in Transformers
- Author
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Jaafar Adnan, Mohd Taufiq Ishak, Nur S. Suhaimi, Nurul 'I. Hashim, Khairol A. Ahmad, Fakroul R. Hashim, and Rushdan Ibrahim
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General Computer Science ,General Engineering ,General Materials Science ,Electrical and Electronic Engineering - Published
- 2022
12. Development of an Embedding Framework for Clustering Scientific Papers
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Songhee Kim, Suyeong Lee, and Byungun Yoon
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General Computer Science ,General Engineering ,General Materials Science ,Electrical and Electronic Engineering - Published
- 2022
13. IPCRF: An End-to-End Indian Paper Currency Recognition Framework for Blind and Visually Impaired People
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Mandhatya Singh, Joohi Chauhan, Muhammad Suhaib Kanroo, Sahil Verma, and Puneet Goyal
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General Computer Science ,General Engineering ,General Materials Science ,Electrical and Electronic Engineering - Published
- 2022
14. The Quality Assist: A Technology-Assisted Peer Review Based on Citation Functions to Predict the Paper Quality
- Author
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Masatoshi Tsuchiya and Setio Basuki
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General Computer Science ,General Engineering ,General Materials Science ,Electrical and Electronic Engineering - Published
- 2022
15. Newly-Published Paper Recommendation With a Joint Multi-Relational Model
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Wenjuan Ren, Dora. D. Liu, Qian Li, and Usman Naseem
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General Computer Science ,General Engineering ,General Materials Science ,Electrical and Electronic Engineering - Published
- 2022
16. A Collaborative Approach Toward Scientific Paper Recommendation Using Citation Context
- Author
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Khalid Haruna, Rodina Ahmad, and Nazmus Sakib
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contextual information ,Information retrieval ,General Computer Science ,Recall ,Relation (database) ,business.industry ,Computer science ,General Engineering ,Novelty ,Scientific paper recommendation systems ,2-level paper-citation relation matrix ,Recommender system ,citation context ,collaborative filtering ,Collaborative filtering ,Mean reciprocal rank ,General Materials Science ,The Internet ,lcsh:Electrical engineering. Electronics. Nuclear engineering ,Baseline (configuration management) ,business ,lcsh:TK1-9971 - Abstract
Researchers face difficulties in finding relevant papers to their research interest as the number of scientific publication is rapidly increasing on the web. Scientific paper recommenders have emerged as a leading solution to help researchers by automatically suggesting relevant and useful publications. Several approaches have been proposed on improving recommender systems. However, most existing approaches depend on priori user profiles, and thus they cannot recommend papers to new user. Furthermore, the existing approaches utilize non-public contextual information, and thus it cannot adequately find similarities between papers due to copyright restrictions. Also, the existing approaches consider only single level paper-citation relation to identify similarities between papers. Considering the above challenges, this paper presents a collaborative filtering based recommendation approach for scientific papers that does not depend on priori user profiles and which utilizes only public contextual information. Using citation context, we utilized 2-level paper-citation relations to find hidden associations between papers. The rational underlying this approach is that, two papers are co-occurred with same cited paper(s) and two papers are co-occurring with same citing paper(s) are significantly similar to some extent. To evaluate the performance of the proposed approach, publicly available datasets are used to conduct extensive experiments. The experimental results demonstrate that the proposed approach has significantly outperforms the baseline approaches in terms of precision, recall, F1, mean average precision, and mean reciprocal rank, which are commonly used information retrieval metrics. The novelty of this study is that, with the proposed approach, researchers are able to find relevant and useful publications over the internet regardless of their previous research experiences and research area.
- Published
- 2020
17. Coplanar Waveguide Based Sensor Using Paper Superstrate for Non-Invasive Sweat Monitoring
- Author
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Michael M. Y. R. Riad and A. R. Eldamak
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Materials science ,General Computer Science ,02 engineering and technology ,01 natural sciences ,re-useable sensor ,Transmission line ,0202 electrical engineering, electronic engineering, information engineering ,General Materials Science ,Sensitivity (control systems) ,Transmission coefficient ,hydration sensor ,Filter paper ,business.industry ,Coplanar waveguide ,010401 analytical chemistry ,Non invasive ,General Engineering ,Microwave bio-sensing ,020206 networking & telecommunications ,0104 chemical sciences ,liquid characterization ,cystic fibrosis diagnosis ,Lookup table ,Optoelectronics ,lcsh:Electrical engineering. Electronics. Nuclear engineering ,business ,paper superstrate ,lcsh:TK1-9971 ,Microwave - Abstract
This paper presents a broadband, simple, re-useable and low-cost approach for noninvasive sweat monitoring using a passive microwave circuit and a cellulose filter paper as a superstrate. The proposed sensor is composed of filter paper with the ability to absorb the sample liquid under test (LUT) placed on top of a coplanar waveguide (CPW) transmission line. Various samples of sodium chloride (NaCl) solutions with concentrations in the range of 0.01-2 mol/L and models of artificial sweat are used to test the proposed sensor. The difference in transmission coefficient (S21) between dry and wet states is used to determine the concentrations of tested solutions in the band of 1-6 GHz. The sensor detects concentrations as low as 0.01 mol/L (0.58 g/L) and quantities as low as 137 μL with a maximum sensitivity of 46.7 dB/g/L. The proposed sensor presents a simple approach to sample and characterize liquids with enhanced sensitivity and consistent performance using microwave signals.
- Published
- 2020
18. Trim Loss Optimization in Paper Production Using Reinforcement Artificial Bee Colony
- Author
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Santitham Prom-on, Booncharoen Sirinaovakul, Charoenchai Khompatraporn, and Suthida Fairee
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Mathematical optimization ,General Computer Science ,Computer science ,swarm intelligence ,General Engineering ,Paper production ,Stock cutting ,Inventory cost ,Trim ,Artificial bee colony algorithm ,pulp and paper industry ,Cutting stock problem ,General Materials Science ,artificial bee colony algorithm ,lcsh:Electrical engineering. Electronics. Nuclear engineering ,Reinforcement ,Integer programming ,optimization ,lcsh:TK1-9971 - Abstract
In paper production, a jumbo reel is cut into multiple intermediate rolls, and each intermediate roll is then sheeted as finished goods. This problem is called a cutting stock problem and is proven to be NP-hard. The objective is to minimize material waste or trim loss from all the cuttings. In the case that any intermediate roll is not entirely used for its associated order, the intermediate roll itself could turn to be a dead stock. We use the concept of universal sizes of intermediate rolls to eliminate the dead stock. A pre-defined number of universal sizes of intermediate rolls is to be used to serve all the orders. The problem is solved using Reinforcement Artificial Bee Colony algorithm with Integer Linear Programming subroutine. This proposed approach is then tested with a set of 1,055 orders and 127 different sizes of sheet papers from a paper manufacturer. The results reveal that our method outperforms other algorithms. Our method offers the total trim loss of 3.51%, compared to the trim loss reported by the industry of at least 5%. This approach not only reduces the number of partially cut rolls, but also decreases the number of the jumbo reels needed to serve all the orders. Therefore, both the inventory cost and material cost can be saved.
- Published
- 2020
19. Effects of Winding Vibration on the Mechanical-Thermal Aging Properties of Insulating Paper
- Author
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Wang Junhong, Zhidong Cheng, Ruijin Liao, and Li Cheng
- Subjects
insulating paper ,degree of polymerization ,Materials science ,General Computer Science ,Scanning electron microscope ,General Engineering ,Electrical insulation paper ,Winding vibration ,Activation energy ,Degree of polymerization ,Accelerated aging ,Vibration ,Stress (mechanics) ,mechanical-thermal aging ,tensile strength ,Ultimate tensile strength ,General Materials Science ,lcsh:Electrical engineering. Electronics. Nuclear engineering ,Composite material ,infrared spectroscopy ,lcsh:TK1-9971 - Abstract
The oil-paper insulation in power transformer is under a complicated environment, and there is little research on the combined effects of winding vibration-generated mechanical stress and thermal stress on the aging of insulating paper. To investigate the effects of combined mechanical-thermal stress on the aging properties of insulating paper, this paper carried out accelerated aging test using the as-designed mechanical-thermal stress combined aging oven in the aging environment at the temperature of 130 °C, and the mechanical stress intensities of 1 MPa, 1.5 MPa and 2 MPa. Besides, the degree of polymerization (DP), tensile strength, infrared spectroscopy, and scanning electron microscope (SEM) tests were performed on the aging paper samples. The test results suggested that, the combined mechanical-thermal aging might be regarded as thermal aging with lower degradation activation energy; the DP and tensile strength of insulating paper markedly declined during the mechanical-thermal aging process. At the same time, mechanical stress promoted the destruction of glycosidic bond, intramolecular and intermolecular hydrogen bonds, and increased the insulating paper cracks and holes. Typically, the above factors accelerated the aging of insulating paper. Finally, an improved degradation rate equation for insulating paper with consideration of mechanical stress was put forward.
- Published
- 2020
20. A Circuital Model-Based Analysis of Moisture Content in Oil-Impregnated-Paper Insulation Using Frequency Domain Spectroscopy
- Author
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Feng Yang and Lin Du
- Subjects
Physical model ,Materials science ,General Computer Science ,Moisture ,General Engineering ,Dielectric ,Oil-impregnated-paper insulation ,extended Debye model ,symbols.namesake ,frequency domain spectroscopy ,Bushing ,moisture ,symbols ,General Materials Science ,lcsh:Electrical engineering. Electronics. Nuclear engineering ,Biological system ,Water content ,Condenser (heat transfer) ,lcsh:TK1-9971 ,Debye model ,Parametric statistics - Abstract
The explicitly numerical or well-defined correlations between the dielectrics responses (DRs) and dielectric essences of oil-impregnated paper (OIP) insulation have not been fully understood yet. As a result, it is rather difficult to quantitatively diagnose the critical insulation condition, like determining moisture content in insulation paper (MCP) of power equipment only using electrical-based techniques such as frequency domain spectroscopy (FDS). To obtain MCP value, from a new perspective of parametric study on the circuital DR equivalence of OIP insulation-extended Debye model (EDM), the present contribution introduces a novel approach by exploring the pattern when EDM parameters vary with MCP and temperatures T. Further, mathematical correlations are developed between sensitive R-C values and MCP-T values. On the above analysis, small-scale physical models of real-life transformer bushings were prepared as test samples. Their OIP condenser bodies were artificially absorbed different controlled quantities of moisture and conditioned at different temperatures to record corresponding FDS results. Then a hybrid genetic algorithm combined with the Levenberg-Marquardt algorithm was proposed to estimate the EDM parameters by fitting the measured FDS data. Sensitive parameters therein were identified using subspectrum decomposition and formulated with MCP-T values so that a reliable moisture content estimation can be achieved once the testing temperature and FDS recordings of an insulation body are known.
- Published
- 2020
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