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- 저자 : Sidek, (검색결과 33 건)
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Sidek Haslinda Binti Mohd,이지형,Jin Xiaoyan,황성주 대한화학회 2023 Bulletin of the Korean Chemical Society Vol.44 No.12
A surface modification route to high-performance oxygen evolution electrocatalysts was developed by immobilization of highly-oxidized SeO42− species on the surface of exfoliated MnO2 nanosheets. The enhanced stability of tetragonally-distorted MnO6 octahedron could be achieved by the weakening of axial Mn–O bond due to competition with highly covalent Se6+–O bonds. The selenate anchoring was found to be quite effective in improving the electrocatalyst functionality of MnO2 nanosheets for oxygen evolution reaction, which could be ascribed to the improvement of charge transfer kinetics and the enhancement of Mn3+ stability. This study emphasized that the fine-control of bonding nature via surface modification with selenate anchoring can offer useful means to explore efficient electrocatalysts.
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SOPPY : A sentiment detection tool for personal online retailing
Sidek, Nurliyana Jaafar,Song, Mi-Hwa The Institute of Internet 2017 International Journal of Internet, Broadcasting an Vol.9 No.3
The best 'hub' to communicate with the citizen is using social media to marketing the business. However, there has several issued and the most common issue that face in critical is a capital issue. This issue is always highlight because most of automatic sentiment detection tool for Facebook or any other social media price is expensive and they lack of technical skills in order to control the tool. Therefore, in directly they have some obstacle to get faster product's feedback from customers. Thus, the personal online retailing need to struggle to stay in market because they need to compete with successful online company such as G-market. Sentiment analysis also known as opinion mining. Aim of this research is develop the tool that allow user to automatic detect the sentiment comment on social media account. RAD model methodology is chosen since its have several phases could produce more activities and output. Soppy tool will be develop using Microsoft Visual. In order to generate an accurate sentiment detection, the functionality testing will be use to find the effectiveness of this Soppy tool. This proposed automated Soppy Tool would be able to provide a platform to measure the impact of the customer sentiment over the postings on their social media site. The results and findings from the impact measurement could then be use as a recommendation in the developing or reviewing to enhance the capability and the profit to their personal online retailing company.
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Mohd Sidek, Haslinda Binti,Jo, Yun Kyung,Kim, Tae Woo,Hwang, Young Kyu,Chang, Jong-San,Hwang, Seong-Ju American Chemical Society 2017 The Journal of Physical Chemistry Part C Vol.121 No.28
<P>Efficient water adsorbents with improved hydrostability can be synthesized by the hybridization of metal-organic framework (MOF) compounds with exfoliated layered double hydroxide (LDH) 2D nanosheets. The self-assembly between copper benzene tricarboxylate (Cu-BTC) MOF nanocrystals and exfoliated Mg-Al-LDH nanosheets leads to the nanoscale mixing of the MOF and LDH components, as well as to the prevention of the formation of aggregated secondary MOF particles. In the resulting nanohybrids, spherical Cu-BTC nanocrystals with small particle sizes of similar to 5-10 nm are uniformly anchored on the surface of Mg-Al-LDH 2D nanosheets with the dimensions of several hundred nanometers. At the optimal composition, the surface area of the resulting nanohybrid becomes greater than that of pristine Cu-BTC, which is attributable to the suppression of the self-aggregation of MOF nanocrystals and to the formation of the mesoporous stacking structure of the LDH nanosheets. Of prime importance is that both the water adsorption ability and the hydrostability of Cu-BTC become notably improved upon hybridization with LDH nanosheets. The present study clearly demonstrates that exfoliated LDH nanosheets can be used as an effective hybridization matrix for exploring novel efficient MOF-based hybrid water adsorbents.</P>
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Synchronized Behavior of FHSS against External Interference
Othman Sidek,Abid Yahya 대한전자공학회 2008 ITC-CSCC :International Technical Conference on Ci Vol.2008 No.7
This paper demonstrates the execution and performance of frequency hopping spread spectrum (FHSS) in hostile jamming surroundings as correspond to conventional system. The system in this paper is confined to the merest assessments establish on the power ratio between the signal and entire interference. In scheming an antijam FHSS system, the spread bandwidth, ss W , is by and large fixed at the start, and repeatedly with the usable bandwidth. Two rectangular bandpass signals have been diagrammed and the observance matrices are incurred by adding signal to jammer, arranging the jammer amplitude at 6 with matched filter output. From the simulation results it has revealed that plain signal is entirely masked by the jammer and is not noticeably ascertained at the filter output, the FHSS is the one, time constricted by the matched filter, is evident uniquely.
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Mohd Sidek, Haslinda Binti,Jo, Yun Kyung,Kim, In Young,Hwang, Seong-Ju American Chemical Society 2016 JOURNAL OF PHYSICAL CHEMISTRY C - Vol.120 No.41
<P>A novel methodology to explore efficient CO2 adsorbent is developed by the stabilization of layered double oxide (LDO) in the hybrid matrix of reduced graphene oxide (rG-O) and layered titanate nanosheets. The electrostatically derived self-assembly between cationic Mg-Al-layered double hydroxide (LDH) nanosheet and anionic graphene oxide (G-O)/layered titanate nanosheets followed by heat treatment at high temperature leads to the cohybridization of LDO (MgO/MgAl2O4) nanocrystals with exfoliated rG-O and layered titanate nanosheets. The incorporation of LDO into the hybrid matrix of rG-O and layered titanate nanosheets is highly effective in increasing its surface area through the formation of mesoporous stacking structure. Of prime importance is that even at very low concentration of titanate (0.3 wt %), an addition of layered titanate nanosheet induces a remarkable surface area expansion of LDO-rG-O nanocomposite from 178 to 330 m(2) g(-1). This result is attributable to the depression of the self-aggregation of rG-O nanosheets due to the incorporation of layered titanate nanosheet. The resulting LDO-rG-O-layered titanate nanocomposite shows promising CO2 adsorption capability of 1.71 mmol g(-1) at 273 K, which is much greater than those of LDO (0.79 mmol g(-1)) and LDO-rG-O nanocomposites (1.19 mmol g(-1)), highlighting the remarkable advantage of titanate addition to improve the CO2 adsorptivity of LDO. The present study clearly proves that the restacked assembly of rG-O nanosheet and layered metal oxide one has potential applications as an efficient hybrid matrix for exploring high performance gas adsorbent.</P>
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Development of an Acceleration Plethysmogram based Cardioid Graph Biometric Identification
Khairul Azami Sidek,Munieroh Osman,Siti Nurfarah Ain Mohd Azam,Nur Izzati Zainal 보안공학연구지원센터 2016 International Journal of Bio-Science and Bio-Techn Vol.8 No.3
The increasing identity theft cases are alarming which puts biometric as the alternative solution to combat identity crime. Recently, biosignals are proposed as biometric modalities. Thus, in this study, the development of an Acceleration Plethysmogram (APG) based Cardioid graph biometric identification is presented. A total of 10 Photoplethysmogram (PPG) data from MIMIC II Waveform Database (MIMIC2WDB) with sampling frequency of 125 Hz were obtained. The datasets are later converted to APG signal by the second order differentiation and preprocessed with Butterworth filter. Then, Cardioid based graph of APG signal was generated. Its centroid and Euclidean distance are calculated. Finally, classification is done by applying these extracted features to Multilayer Perceptron (MLP) and Naïve Bayes neural networks classifiers. Our experimentation results show that subject recognition is possible by obtaining classification accuracy of 95% for APG based Cardioid graph for both classifiers while only 85% and 70% for PPG signal in MLP and Naïve Bayes classifiers. These outcomes indicate that APG based Cardioid graph biometric identification is a feasible solution to overcome identity fraud.
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SOPPY : A sentiment detection tool for personal online retailing
Nurliyana Jaafar Sidek,Mi-Hwa Song 한국인터넷방송통신학회 2017 International Journal of Internet, Broadcasting an Vol.9 No.3
The best ‘hub’ to communicate with the citizen is using social media to marketing the business. However, there has several issued and the most common issue that face in critical is a capital issue. This issue is always highlight because most of automatic sentiment detection tool for Facebook or any other social media price is expensive and they lack of technical skills in order to control the tool. Therefore, in directly they have some obstacle to get faster product’s feedback from customers. Thus, the personal online retailing need to struggle to stay in market because they need to compete with successful online company such as G-market. Sentiment analysis also known as opinion mining. Aim of this research is develop the tool that allow user to automatic detect the sentiment comment on social media account. RAD model methodology is chosen since its have several phases could produce more activities and output. Soppy tool will be develop using Microsoft Visual. In order to generate an accurate sentiment detection, the functionality testing will be use to find the effectiveness of this Soppy tool. This proposed automated Soppy Tool would be able to provide a platform to measure the impact of the customer sentiment over the postings on their social media site. The results and findings from the impact measurement could then be use as a recommendation in the developing or reviewing to enhance the capability and the profit to their personal online retailing company.
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