A pseudo-multiple sampling technique for a low-noise CIS is implemented using conventional column-parallel single-slope ADC structure with no additional circuitry. It applied to 1/3.2-inch 8Mpixel CIS. Measurement results show the effectively reduces dark temporal noise from 1.6e- 1.2e- in 10 b mode, and 1.8e- 1.1e- 12b mode.

Recent progress on scattering amplitudes in super Yang-Mills and super-string theory benefitted from the use of multiparticle superfields. They universally capture tree-level subdiagrams, their generating series solve non-linear equations ten-dimensional Yang-Mills. We provide simplified recursions for superfields relate them to earlier representations through gauge transformations series. Moreover, we discuss which enforce Lie symmetries as suggested by Bern-Carrasco-Johansson duality...

Traditional East Asian medicine not only serves as a potential source of drug discovery, but also plays an important role in the healthcare systems Korea, China, and Japan. Tandem mass spectrometry (MS/MS)-based untargeted metabolomics is key methodology for high-throughput analysis complex chemical compositions medicinal plants used traditional medicine. This Data Descriptor documents deposition to public repository re-analyzable raw LC-MS/MS dataset 337 listed Korean Pharmacopeia, addition...

As object recognition requires huge computation power to deal with complex image processing tasks, it is very challenging meet real-time demands under low-power constraints for embedded systems. In this paper, a configurable heterogeneous multicore architecture dual-mode linear processor array and cellular neural network on the network-on-chip platform presented recognition. The bio-inspired attention-based algorithm devised reduce computational complexity of utilized accelerate visual...

Abstract The photochemical acid generation is refined from the first principles of quantum electrodynamics. First, we briefly review formulation theory light based on electrodynamics framework to establish probability at a given spacetime point. mechanical then combined with deprotection mechanism obtain probabilistic description density directly related feature formation in photoresist. A statistical analysis random presented reveal leading characteristics stochastic formation.

We analyze open string vertex operators describing connection gauge fields for spin 3 in Vasiliev's framelike formalism and perform their extended Becchi-Rouet-Stora-Tyutin analysis. Gauge symmetry transformations, generalized zero torsion constraints relating extra to the dynamical field, relation between field fully symmetric Fronsdal's are all realized terms of on these theory. Using construction, we 3-point correlator calculate Chern-Simons type cubic interactions described by...

We are developing TextDB, an open-source datamanagement system that supports text-centric operations in a declarative and efficient way using algebraic approach as relational DBMS. In this demonstration, we show scenarios where can use TextDB to perform powerful information extraction easily efficiently on text documents. Video: https://github.com/TextDB/textdb/wiki/Video.

The population of elderly people is increasing, with the development an aging society all over world. As a result, number who need to take care themselves, such as living alone or suffering from dementia, also increasing. Caring for these requires not only social burdens but economic costs. A system that manages their behavior essential reduce cost caring them. In this study, we propose abnormal detection model using smart home sensor data manage and dementia. Previous studies have used...

This paper provides an outline of the algorithms submitted for WSDM Cup 2019 Spotify Sequential Skip Prediction Challenge (team name: mimbres). In challenge, complete information including acoustic features and user interaction logs first half a listening session is provided. Our goal to predict whether individual tracks in second will be skipped or not, only given features. We proposed two different kinds that were based on metric learning sequence learning. The experimental results showed...

The number of elderly people suffering from dementia, a senile disease, is increasing day by due to the rapid aging population. As result, social and economic costs are also gradually increasing. To prevent such monetary losses, system that can operate at low cost needed care for dementia patients. Therefore, this research proposes sensor-based deviant behavior detection allows caregivers easily manage patients even if they not in same location as their cost. In research, autoencoder LSTM...

A bstract We investigate massless n -point one-loop amplitudes of the open RNS superstring with two external fermions and determine their worldsheet integrands. The contributing correlation functions involving spin-1/2 spin-3/2 operators from fermion vertices are evaluated to any multiplicity. Moreover, we introduce techniques sum these correlators over spin structures such as manifest all cancellations due spacetime supersymmetry. These sums require generalizations Riemann identities among...

In recent years, there has been an increasing focus on user convenience, leading to increased interest in text-based keyword enrollment systems for spotting (KWS). Since the system utilizes text input during phase and audio actual usage, we call this task audio-text based KWS. To enable task, both acoustic encoders are typically trained using deep metric learning loss functions, such as triplet- proxy-based losses. This study aims improve existing methods by leveraging structural relations...

This paper introduces a novel approach for streaming openvocabulary keyword spotting (KWS) with text-based enrollment.For every input frame, the proposed method finds optimal alignment ending at frame using connectionist temporal classification (CTC) and aggregates frame-level acoustic embedding (AE) to obtain higher-level (i.e., character, word, or phrase) AE that aligns text (TE) of target text.After that, we calculate similarity aggregated TE.To best our knowledge, this is first attempt...

Abstract We present a global optimization routine for the variational quantum algorithms, which utilizes dynamic tunneling flow. Originally designed to leverage information gathered by gradient-based optimizer around local minima, we adapt conventional flow exploit distance measure of states, resolving issues extrinsic degeneracy arising from parametrization states. Our algorithm is applied eigensolver transverse-field Ising model demonstrate performance our while comparing it with method,...

This paper introduces a novel approach for streaming open-vocabulary keyword spotting (KWS) with text-based enrollment. For every input frame, the proposed method finds optimal alignment ending at frame using connectionist temporal classification (CTC) and aggregates frame-level acoustic embedding (AE) to obtain higher-level (i.e., character, word, or phrase) AE that aligns text (TE) of target text. After that, we calculate similarity aggregated TE. To best our knowledge, this is first...

In recent years, there has been an increasing focus on user convenience, leading to increased interest in text-based keyword enrollment systems for spotting (KWS). Since the system utilizes text input during phase and audio actual usage, we call this task audio-text based KWS. To enable task, both acoustic encoders are typically trained using deep metric learning loss functions, such as triplet- proxy-based losses. This study aims improve existing methods by leveraging structural relations...

Recent advances in flexible keyword spotting (KWS) with text enrollment allow users to personalize keywords without uttering them during enrollment. However, there is still room for improvement target performance. In this work, we propose a novel few-shot transfer learning method, called text-aware adapter (TA-adapter), designed enhance pre-trained KWS model specific limited speech samples. To adapt the acoustic encoder, leverage jointly encoder generate embedding that acts as representative...

The root cause and an approach to lifetime expectation of bi-modal distribution in Cu/low-k interconnect have been elucidated through experimental simulation results. early mode with short failure time voids at via bottom interface, could be explained by pre-existing large current density resulting from gouging profile. A high compressive SiCN making Cu/SiCN interface near into tensile stress causes void nucleation its specified sites, which indicate the late mode. And component can...

Segmentation network, which are widely used in various multimedia applications recent years, capable of precise image processing units pixels, but have higher computational complexity compared to other computer vision algorithms such as classification and object detection. In this paper, we propose a technique that applies mixed-precision quantization the existing YOLACT performs accurate instance segmentation. By adaptively applying according parameter size effect on accuracy modules...

An energy efficient object recognition processor is proposed for real-time visual applications. Its efficiency improved by lowering average power consumption while sustaining high frame rate. To this end, the features from all levels of chip design. In architecture level, it performs 3-stage task pipelining rate operation and workload-aware dynamic management low consumption. block special purposed engines are employed software controlled clock gating exploited fine-grained control. circuit...

In this study, framework is developed for integrated missile system design and optimization using distributed computing environment. Analysis tools, database, CAD are in the MDO framework. All components with middleware