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Improved sliding window detector in UWB-SRR system for vehicular applications
Surendran, P.,Lee, Jong-Hun,Ko, Seok-Jun IET 2012 Electronics letters Vol.48 No.25
<P>A novel ultra-wideband short range radar (UWB-SRR) system for measuring a target maximum range of 15 m and relative velocity of 150 km/h is proposed. The conventional detector has less detection performance if the reflected echo signals from the target are more distributed because the detection performance depends on a particular range bin only. However, the proposed detector s detection performance is increased when the reflected echo signals from the target are combined using the proposed sliding window. According to the presented simulation and theoretical analysis, the proposed detector is superior to conventional detectors when the target echo signal is more distributed against a background of additive white Gaussian noise.</P>
Surendran, Subramani,Shanmugapriya, Sathyanarayanan,Zhu, Pei,Yan, Chaoyi,Vignesh, Ramasamy Hari,Lee, Yun Sung,Zhang, Xiangwu,Selvan, Ramakrishnan Kalai Elsevier 2019 ELECTROCHIMICA ACTA Vol.296 No.-
<P><B>Abstract</B></P> <P>In this work, a facile single-step hydrothermal technique is used to prepare a spherically concomitant foamy NiCoP as positrode for supercapatteries. Similarly, the nitrogen-doped carbon nanofibers are prepared by simple electrospinning technique to use as negatrode. The prepared materials are raptly examined through primary studies for both energy conversion and storage applications. Fascinatingly, NiCoP electrode encourages oxygen evolution reaction, and the carbon nanofiber electrode emboldens hydrogen evolution reaction with the minimum overpotential of 257 mV and 160 mV, respectively. In addition, a supercapattery is designed and operated at a full voltage window of 1.6 V using the fusion of carbon nanofiber as the negatrode and the cutting-edge NiCoP as the positrode, which presents a superior energy (56 Wh kg<SUP>−1</SUP>) and an improved power density (5333 W kg<SUP>−1</SUP>) with a long cyclic stability (5000 cycles). Finally, the fabricated supercapattery device is used to power the constructed hybrid water electrolyser that requisites a low cell voltage of 1.71 V to afford a current density of 10 mA cm<SUP>−2</SUP>. Overall, the prepared electrodes reveal its superiority of handling the multifunctional challenges for both water electrolyzer and supercapatteries.</P>
Surendran Sujith,Min Hyung Lee 대한화학회 2021 Bulletin of the Korean Chemical Society Vol.42 No.1
A series of p-nido-carborane-triarylborane conjugates (nido-1-3) in which a methyl group is introduced at the ortho-position to the carborane cage in the phenylene linker was prepared and characterized. All compounds exhibit broad low-energy absorptions (?abs = ca. 350?400?nm) attributable to the intramolecular charge transfer transition from the nido-carborane donor to the (MePh)BMes2 acceptor. Electrochemical studies confirm that oxidation occurs at the nido-carborane while the boryl moieties are responsible for the reduction. All nido-compounds show broad green emissions in tetrahydrofuran (THF) with good photoluminescence (PL) quantum yields (ΦPL = 24%?78%). In particular, different from the almost non-thermally activated delayed fluorescence (TADF) properties of unsubstituted para-conjugates, the transient PL decay curves of nido-1-3 show the existence of weak TADF (τd = 0.9?1.4 ?s in THF). The TADF properties are further supported by the very small singlet-triplet energy splitting below 0.15?eV and are also observed in poly(methyl methacrylate) (PMMA) films doped with nido-1-3.
Parambadath, Surendran,Mathew, Aneesh,Kim, Su Yeon,Park, Sung Soo,Ha, Chang-Sik International Union of Pure and Applied Chemistry 2018 Pure and Applied Chemistry Vol.90 No.5
<P><B>Abstract</B></P><P>The direct removal of arsenate (AsO<SUB>4</SUB><SUP>3−</SUP>) and chromate (CrO<SUB>4</SUB><SUP>2−</SUP>) from water were achieved using a Fe<SUP>3+</SUP>-bis-ethylenediamine complex-bridged periodic mesoporous organosilica with a 20% organosilane content (Fe-EDPMO-20). The bridged Fe<SUP>3+</SUP>-bis-ethylenediamine complex was introduced to the pore wall of the PMO by combining the pre-complexation and co-condensation processes. N,N′-bis[3-(triethoxysilyl)propyl]ethylenediamine (TESEN) and tetramethyl orthosilicate (TMOS) as silica precursors were used with cetyltrimethylammonium bromide (CTABr) as a surfactant under basic conditions for the preparation of highly ordered Fe-EDPMO-20. Transmission electron microscopy, X-ray diffraction, and N<SUB>2</SUB>adsorption-desorption measurements confirmed that the Fe-EDPMO-20 had an ordered hexagonal p6mm mesostructure. The material had a Brunauer-Emmett-Teller surface area of 734 m<SUP>2</SUP>g<SUP>−1</SUP>, pore diameter of 2.6 nm, and pore volume of 0.61 cm<SUP>3</SUP>g<SUP>−1</SUP>. UV-vis and X-ray photoelectron spectroscopy confirmed that Fe<SUP>3+</SUP>was embedded in the coordination site by the nitrogen atoms from ethylenediamine. The adsorption efficiencies of arsenate and chromate ions by Fe-EDPMO-20 were examined as a function of pH, stirring time, amount of adsorbent, and initial concentration of metal ion solution. The maximum adsorption for arsenate and chromate were 156 and 102 mg g<SUP>−1</SUP>within 6 and 24 h, respectively, at pH 4.</P>
Rohini M.,Surendran D.,Manoj S. Oswalt 대한전기학회 2022 Journal of Electrical Engineering & Technology Vol.17 No.2
Alzheimer's disease (AD), cerebrovascular disease, Lewy-body disease, and Frontal–temporal degeneration disease are the age-related cognitive impairments that cause dementia. However, AD is the primary cause of dementia that causes brain cell degeneration in the geriatric community. Brain cell degeneration is the crucial cause of AD, due to the abnormal accumulation of indissoluble clumps known as plaques and tangles in the human brain's neurons. Amyloid precursor protein levels and Apolipoprotein -E gene are the biomarkers of AD since it causes accumulations and hence blocks the neuron transport system throughout the body. The early onset of AD includes mild-cognitive impairment (MCI) that progresses to complete dementia. Many related works include AD prediction using clinical modality images and cognitive assessments scores of the individuals but have not addressed comparative genome study for signifi cant subjects. However, there is a lack of aff ordable biomarkers for the eff ective early detection of high-risk individuals. In this study, we utilize one or more features of Magnetic Resonance Imaging (MRI) tests and Apolipoprotein-E genotype sequence that provides more signifi cant biomarkers for the early prediction. The ML classifi ers including Support vector classifi er, Gaussian process, AdaBoost, Random Forest, Decision trees learns the subset of patterns that predicts the AD with gene descriptors from microRNA expression profi le and the profi led gene pattern. These signifi cant multiple gene descriptors provide a supportive prediction methodology that apply genotype strength with the ensemble classifi ers. The fi nal optimal model is given by validation evaluations. The support vector classifi er and Random Forest classifi ers had given consistent results for disease conversion and progression from MRI attributes and had given promising results with the validation that showed accuracy greater than 80% and F1 weighted score of 0.8 in disease classifi cation and prognosis. The experimental results had proven 95% accuracy in the saliency values of APOE isoforms implemented in DragonNN framework that will vary AD pathogenic. Hence particular focus and clinical interventions can be given on Aβ genome dependent subjects that predicts the disease