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A robust zero watermarking algorithm for stereo audio signals

International Journal of Information and Computer Security 2016年第4期8卷 330-346页

作者： Dhavale, Sunita V. Deodhar, Rajendra S. Pradhan, Debasish Patnaik, L.M. Department of Computer Science and Engineering Defence Institute of Advanced Technology Girinagar Pune411025 India Armament Research and Development Establishment Pashan Pune411021 India Department of Applied Mathematics Defence Institute of Advanced Technology Girinagar Pune411025 India Department of Electronics Systems Engineering Indian Institute of Science Bangalore560012 India

Zero-watermarking techniques constructs zero watermarks without modifying the original host audio signal. This paper presents a robust zero-watermarking algorithm for stereo audio signals. The proposed algorithm exploits inter-channel redundancy of stereo audio signal in order to construct zero watermarks binary sequence. Here, the features are extracted from DWTDCT-SVD domain to construct zero watermarks, and are found to be robust against modified discrete cosine transform (MDCT)-based perceptual stereo audio coding schemes. Extensive experimental results assure that the proposed watermarking scheme is highly secure as well as robust to common attacks like, MP3 compression, cropping, filtering, re-sampling, amplitude scaling and re-quantisation, etc. To the best of our knowledge, zero-watermarking algorithm based on stereo audio properties is proposed first time. Copyright © 2016 Inderscience Enterprises Ltd.

关键词： Singular value decomposition

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A Study on Seizure Detection Performance in an Automated Process by Extracting Entropy Features

A Study on Seizure Detection Performance in an Automated Pro...

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International Conference on Signal Processing and Information Security (ICSPIS)

作者： Sricheta Parui Debasis Samanta Nishant Chakravorty Wathiq Mansoor Uttam Ghosh Advanced Technology Development Centre Indian Institute of Technology Kharagpur India Department of Computer Science and Engineering Indian Institute of Technology Kharagpur India School of Medical Science and Technology Indian Institute of Technology Kharagpur India University of Dubai Dubai United Arab Emirates Meharry School of Applied Computational Sciences Nashville TN USA

ISBN: (纸本)9781665492669

Millions of people of all ages have been diagnosed with epilepsy all over the world. Electroencephalography (EEG), a quantitative component, is vital in identifying and analyzing epileptic seizures. Manual EEG detection takes a long time and has serious consequences. To prevent this circumstance, the world needs alternative detection technologies. For more than a decade, several strategies and procedures have been used to assist medical doctors in detecting technological improvement. Numerous automated seizure identification frameworks that use machine learning approaches have recently been presented to replace traditional methodologies. However, because multichannel EEG data is unpredictable, selecting optimal channels as well as characteristics and classifying them remain unsolved issues. During automatic signaling, the gadget also emits a noisy signal, making detection and prediction challenging. In this paper, we have tested various entropy features and selected the best features to classify seizure patients. First, we preprocessed the data using IMF of the raw signal, and then entropy features were extracted to classify the epileptic patients. The proposed channel selection method, SVM-GA, works well with our framework and successfully removes redundant channels from the data.

关键词： Support vector machines Medical services Signal processing Feature extraction Entropy Electroencephalography Data mining

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利用电荷转移工程提高红色SrLa(Sc,Ga)O_(4):Ce^(3+)荧光粉的热稳定性

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science China Materials 2023年第5期66卷 1989-1996页

作者：杨至雨赵逸飞 Jumpei Ueda Maxim S.Molokeev 尚蒙蒙夏志国 State Key Laboratory of Luminescent Materials and Devices Guangdong Provincial Key Laboratory of Fiber Laser Materials and Applied TechniquesGuangdong Engineering Technology Research and Development Centre of Special Optical Fibre Materials and DevicesSchool of Materials Science and EngineeringSouth China University of TechnologyGuangzhou 510641China Department of Applied Physics The Hong Kong Polytechnic UniversityHong Kong 999077China Graduate School of Advanced Science and Technology Japan Advanced Institute of Science and Technology(JAIST)NomiIshikawa 923–1292Japan Laboratory of Crystal Physics Kirensky Institute of PhysicsFederal Research Center KSC SB RASKrasnoyarsk 660036Russia Department of Engineering Physics and Radioelectronic Siberian Federal UniversityKrasnoyarsk660041Russia Research and Development Department Kemerovo State UniversityKemerovo 650000Russia Key Laboratory for Liquid-Solid Structural Evolution and Processing of Materials(Ministry of Education) School of Materials Science and EngineeringShandong UniversityJinan 250061China School of Physics and Optoelectronics South China University of TechnologyGuangzhou 510641China

可被蓝光激发的高热稳定性红色荧光粉是制作高性能白光二极管(WLED)的关键材料.研究发现,Ce^(3+)掺杂的SrLaScO_(4)(SLO:Ce^(3+))荧光粉在440 nm激发下呈现峰值为640 nm的反常宽带红光发射.光谱学和结构分析证实Ce^(3+)离子在SLO中进入[... 详细信息

可被蓝光激发的高热稳定性红色荧光粉是制作高性能白光二极管(WLED)的关键材料.研究发现,Ce^(3+)掺杂的SrLaScO_(4)(SLO:Ce^(3+))荧光粉在440 nm激发下呈现峰值为640 nm的反常宽带红光发射.光谱学和结构分析证实Ce^(3+)离子在SLO中进入[LaO_(8)]多面体,产生强的晶体场劈裂和较大的Stokes位移,实现了比Eu^(2+)更低能量的红光发射.我们还设计并揭示了一种电荷转移相互作用的策略:在Sc^(3+)位置引入电负性较大的Ga^(3+),Ga^(3+)可以吸引更多邻位配合基团的电荷,以减少导带底部的电子占用而扩大带隙.Sc/Ga取代有效地抑制了热激活电离过程,使SrLa(Sc,Ga)O_(4):Ce^(3+)的热稳定性获得了显著提升,即在150℃的发光强度比(相对于20℃)从15%提升至31%.本研究为发现具有良好热稳定性的新型Ce^(3+)掺杂红色荧光粉提供了有效的设计原则.

关键词： Ce^(3+) thermal stability band gap broadband red luminescence

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The skeletal muscle circadian clock: current insights

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ChronoPhysiology and Therapy 2017年 7卷 47-57页

作者： Nakao, Reiko Nikawa, Takeshi Oishi, Katsutaka 1 Biological Clock Research Group Biomedical Research Institute National Institute of Advanced Industrial Science and Technology (AIST) Tsukuba 2 Department of Nutritional Physiology Institute of Biomedical Sciences Tokushima University Graduate School Tokushima 1 Biological Clock Research Group Biomedical Research Institute National Institute of Advanced Industrial Science and Technology (AIST) Tsukuba3 Department of Applied Biological Science Graduate School of Science and Technology Tokyo University of Science Noda4 Department of Computational and Medical Sciences Graduate School of Frontier Sciences the University of Tokyo Kashiwa Japan

Skeletal muscle functions in locomotion, postural support, and energy metabolism. The loss of skeletal muscle mass and function leads to diseases such as sarcopenia and metabolic disorders. Inactivity (lack of exercise) and an imbalanced diet (increased fat or decreased protein intake) are thought to be involved in the prevalence of such pathologies. On the other hand, recent epidemiological studies of humans have suggested that circadian disruption caused by shift work, jet lag, and sleep disorders is associated with obesity and metabolic syndrome. Experimental studies of mice deficient in clock genes have also identified skeletal muscle defects, suggesting a molecular link between circadian clock machinery and skeletal muscle physiology. Furthermore, accumulating evidence about chronotherapy, including chronopharmacology, chrononutrition, and chronoexercise, has indicated that timing is important to optimize medical intervention for various diseases. The present review addresses current understanding of the functional roles of the molecular clock with respect to skeletal muscle and the potential of chronotherapy for diseases associated with skeletal muscle.

关键词： biological rhythm metabolic syndrome physical activity neural signal chronotherapy

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Coherent enhancement of a frequency comb modulated by a terahertz laser field in high-order harmonic generation

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Physical Review A 2023年第4期108卷 043101-043101页

作者： Yuan-Yuan Wu Chang-Tong Liang Bao-Guang Zhao Peng-Cheng Li Research Center for Advanced Optics and Photoelectronics Department of Physics College of Science Shantou University Shantou Guangdong 515063 China Key Laboratory of Intelligent Manufacturing Technology of MOE Shantou University Shantou Guangdong 515063 China Institute of Applied Physics and Computational Mathematics Beijing 100088 China

We present the coherent enhancement of the frequency comb via high-order harmonic generation (HHG) in a train of infrared laser pulses combined with terahertz (THz) laser fields. The HHG spectra are obtained by solving the three-dimensional time-dependent Schrödinger equation by means of the time-dependent generalized pseudospectral method. We find that the structure of the frequency comb via HHG becomes much smoother and more regular, and the yield of the comb is increased by nearly two orders of magnitude. By analyzing the phase coherence of HHG spectra, we demonstrate that the THz laser fields are responsible for the optimization of the structure and yield of the frequency comb since the constructive phase coherence of the HHG spectra is modulated by the THz field. The physical origin of the constructive phase coherence is thanks to the uniform ionization efficiency induced by the THz laser field for each laser pulse, which greatly improves the synchronization of the harmonic emission. Our finding provides a promising method for the enhancement of the frequency comb via HHG.

关键词： Atomic & molecular processes in external fields High-order harmonic generation Light-matter interaction Ultrafast phenomena

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PEALD deposited aluminum hafnium mixed oxide dielectrics for amorphous-IGZO TFTs

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Ceramics International 2024年第3期50卷 5350-5362页

作者： Chen, Han-Bin Wu, Wan-Yu Wang, Yao-Tian Yan, Jia-Hao Zhao, Ming-Jie Zhang, Xiao-Ying Gao, Peng Wuu, Dong-Sing Lai, Feng-Min Lien, Shui-Yang Zhu, Wen-Zhang Xiamen Key Laboratory of Development and Application for Advanced Semiconductor Coating Technology Fujian Xiamen361024 China The School of Opto-electronic and Communication Engineering Xiamen University of Technology Fujian Xiamen361024 China Department of Materials Science and Engineering National United University Miaoli 360302 Taiwan Fujian Institute of Research on the Structure of Matter Chinese Academy of Sciences Fujian Fuzhou350002 China Department of Applied Materials and Optoelectronic Engineering National Chi Nan University Nantou 54561 Taiwan Department of Biomedical Engineering Da-Yeh University Changhua51591 Taiwan

(Al–Hf) mixed oxide thin films (HfAlO) are attracted by many researchers because of their outstanding optical and electrical properties compared to hafnium oxide (HfO2). This study prepared HfAlO films at 300 °C using plasma-enhanced atomic layer deposition (PEALD). Changing the cycle ratio of HfO2 and aluminum oxide (Al2O3), the mixing effect on the properties of HfAlO film was studied. The characterization of the HfAlO films was investigated using spectroscopic ellipsometry (SE), X-ray diffraction (XRD), X-ray photoelectron spectroscopy (XPS), X-ray reflectivity (XRR), scanning electron microscopy (SEM), and UV–vis spectroscopy. The results show that the aluminum content and optical bandgap of the HfAlO films increased with the increase of the Al2O3 cycle ratio. The dielectric constant of the HfAlO film with a 20 % Al2O3 cycle ratio (cycles of Al2O3/(cycles of Al2O3 + cycles of HfO2)) reaches ∼ 26, and the breakdown electric field is about 6.5 MV/cm. Pure HfO2 and 20 % Al2O3 cycle ratio deposited HfAlO was used as the gate dielectric layer, and the influence on the performance of amorphous indium gallium zinc oxide (a-IGZO) thin film transistor (TFT) was studied. A-IGZO TFT with a 20 % Al2O3 cycle ratio mixed HfAlO film as the gate dielectric exhibits the best performance, showing a high Ion/Ioff ratio of 1.3 × 109, a saturation mobility of ∼5.8 cm2/Vs, a subthreshold slope of 88 mV per decade and a low threshold voltage of −0.1V. © 2023 Elsevier Ltd and Techna Group S.r.l.

关键词： Thin film transistors

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development of New Materials and Structures for Efficient Organic Solar Cells Fabricated with Ionically and Electrically Conducting Polymers

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MRS Online Proceedings Library 2010年第1期1211卷 1-12页

作者： Yoshinori Nishikitani Takaya Kubo Hideki Masuda Central Technical Research Laboratory Research & Development Division Nippon Oil Corporation Naka-ku Yokohama Japan Research Center for Advanced Science and Technology University of Tokyo Meguro-ku Tokyo Japan Department of Applied Chemistry Graduate School of Engineering Nagoya Institute of Technology Gokiso-cho Showa-ku Nagoya Japan

New materials and structures have been developed for efficient organic solar cells, dye-sensitized solar cells (DCSs) and organic thin-film solar cells (OPVs). Some strategies for achieving high photon-to-electricity conversion efficiency in these solar cells are discussed, focusing on nanostructured materials. In the case of DSCs, unlike TiO2 nanoparticles, TiO2 nanotubes with suitable dimensions are expected to work as efficient light scatterers as well as to give large surface areas for charge separation. A strategy for designing triarylamine-functionalized ruthenium dyes, which display the high efficiency, is also proposed. Furthermore, OPVs based on donor/acceptor (D/A) block copolymers are discussed, focusing on the phase separation of donor and acceptor segments and their domain sizes.

关键词： energy generation photovoltaic polymer

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Stability and electronic structure of potassium-intercalated hexagonal boron nitride from density functional calculations

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Physical Review B 2010年第23期81卷 233401-233401页

作者： Susumu Okada Minoru Otani Graduate School of Pure and Applied Sciences and Center for Computational Sciences University of Tsukuba 1-1-1 Tennodai Tsukuba 305-8571 Japan CREST Japan Science and Technology Agency 5 Sanbancho Chiyoda-ku Tokyo 102-0075 Japan Research Institute for Computational Sciences National Institute of Advanced Industrial Science and Technology (AIST) Tsukuba 305-8568 Japan

By using the local-density approximation in density functional theory, we explore the possibility of a metallic layered compound derived from hexagonal boron nitride (h-BN). We find that the intercalation process of potassium atoms into the interlayer spacing of h-BN is exothermic with a formation energy of approximately 1.6 eV per potassium atom, and that the electronic structure of potassium-intercalated h-BN under equilibrium interlayer distance is metallic, in which electrons are injected into unoccupied, nearly-free-electron states. The calculated Fermi surfaces of the compound exhibit characteristics similar to that of graphite intercalation compounds doped with alkali/alkali-earth metals.

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The Discovery and Design of Nanoparticle and Mesoporous Catalysts for Efficient Oxidation Reaction

The Discovery and Design of Nanoparticle and Mesoporous Cata...

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中国化学会第29届学术年会

作者： Yejiang Hong Rehong Li Juanjuan Liu Xinping Wu Xueqing Gong Fenfen Huang Xiaonao Liu Liping Xiao Jie Fan Key Lab of Applied Chemistry of Zhejiang Province Department of Chemistry Zhejiang University Key Laboratory for Advanced Materials Centre for Computational Chemistry and Research Institute of Industrial Catalysis East China University of Science and Technology

The discovery and design of highly selective,active and stable catalysts is of vital importance in many applications such as the large-scale production of bulk chemicals,environmental protection,and the generation/distribution of sustainable energy.2)In the first part of this talk,I’ll discuss our recent projects on the design of mesoporous and metal nanoparticle catalysts oriented toward the high-yielding alcohol-to-aldehyde transformation and total oxidation for VOCs control using molecular oxygen as the *** parallel,some new methods have been proposed to simultaneously solve sintering and coking problem of metal nanoparticles,which is one of biggest challenges to their long-term activities.2)In the second part,we mainly introduce a new

关键词： The Discovery and Design of Nanoparticle and Mesoporous Catalysts for Efficient Oxidation Reaction

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Deep-learning-based quality filtering of mechanically exfoliated 2D crystals

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npj computational Materials 2019年第1期5卷 57-62页

作者： Yu Saito Kento Shin Kei Terayama Shaan Desai Masaru Onga Yuji Nakagawa Yuki M.Itahashi Yoshihiro Iwasa Makoto Yamada Koji Tsuda RIKEN Center for Advanced Intelligence Project(AIP) Tokyo 103-0027Japan Department of Computational Biology and Medical Sciences Graduate School of Frontier SciencesThe University of TokyoKashiwa 277-8561Japan Graduate School of Medicine Kyoto UniversityKyoto 606-8501Japan Quantum-Phase Electronics Center(QPEC)and Department of Applied Physics The University of TokyoTokyo 113-8656Japan RIKEN Center for Emergent Matter Science(CEMS) Wako 351-0198Japan Department of Intelligence Science and Technology Kyoto UniversityKyoto 606-8501Japan PRESTO Japan Science and Technology Agency(JST)4-1-8HonchoKawaguchi-shiSaitama 332-0012Japan National Institute for Materials Science(NIMS) Center for Materials Research by Information IntegrationTsukuba 305-0047Japan California NanoSystems Institute University of California at Santa BarbaraSanta BarbaraCA 93106USA

Two-dimensional(2D)crystals are attracting growing interest in various research fields such as engineering,physics,chemistry,pharmacy,and biology owing to their low dimensionality and dramatic change of properties compared to the bulk counter *** the various techniques used to manufacture 2D crystals,mechanical exfoliation has been essential to practical applications and fundamental ***,mechanically exfoliated crystals on substrates contain relatively thick flakes that must be found and removed manually,limiting high-throughput manufacturing of atomic 2D crystals and van der Waals ***,we present a deep-learning-based method to segment and identify the thickness of atomic layer flakes from optical microscopy *** carefully designing a neural network based on U-Net,we found that our neural network based on Unet trained only with the data based on realistically small number of images successfully distinguish monolayer and bilayer MoS2 and graphene with a success rate of 70–80%,which is a practical value in the first screening process for choosing monolayer and bilayer flakes of all flakes on substrates without human *** remarkable results highlight the possibility that a large fraction of manual laboratory work can be replaced by AI-based systems,boosting productivity.

关键词： crystals filtering attracting

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