Comparative study of quantum error correction strategies for the heavy-hexagonal lattice by César Benito, Esperanza López, Borja Peropadre, Alejandro Bermudez

“…Topological quantum error correction is a milestone in the scaling roadmap of quantum computers, which targets circuits with trillions of gates that would allow running quantum algorithms for real-world problems. …”
Get full text

Circle Plus Partial Helical Scan Scheme for a Flat Panel Detector-Based Cone Beam Breast X-Ray CT by Dong Yang, Ruola Ning, Weixing Cai

“…An exact circle plus straight line scan scheme is also conducted in computer simulation for the purpose of comparison. …”
Get full text

Performance Improvement with Reduced Number of Channels in Motor Imagery BCI System by Ali Özkahraman, Tamer Ölmez, Zümray Dokur

“…Classifying Motor Imaging (MI) Electroencephalogram (EEG) signals is of vital importance for Brain–Computer Interface (BCI) systems, but challenges remain. …”
Get full text

Scene-Aware Deep Networks for Semantic Segmentation of Images by Zhike Yi, Tao Chang, Shuai Li, Ruijun Liu, Jing Zhang, Aimin Hao

“…Scene classification and semantic segmentation are two important research directions in computer vision. They are widely used in the research of automatic driving and human–computer interaction. …”
Get full text

Approach of detecting low-rate DoS attack based on combined features by Zhi-jun WU, Jing-an ZHANG, Meng YUE, Cai-feng ZHANG

“…LDoS (low-rate denial of service) attack is a kind of RoQ (reduction of quality) attack which has the characteristics of low average rate and strong concealment.These characteristics pose great threats to the security of cloud computing platform and big data center.Based on network traffic analysis,three intrinsic characteristics of LDoS attack flow were extracted to be a set of input to BP neural network,which is a classifier for LDoS attack detection.Hence,an approach of detecting LDoS attacks was proposed based on novel combined feature value.The proposed approach can speedily and accurately model the LDoS attack flows by the efficient self-organizing learning process of BP neural network,in which a proper decision-making indicator is set to detect LDoS attack in accuracy at the end of output.The proposed detection approach was tested in NS2 platform and verified in test-bed network environment by using the Linux TCP-kernel source code,which is a widely accepted LDoS attack generation tool.The detection probability derived from hypothesis testing is 96.68%.Compared with available researches,analysis results show that the performance of combined features detection is better than that of single feature,and has high computational efficiency.…”
Get full text

Theoretical and experimental investigation of the effect of acetic and formic acids as capping agents on morphology of KTiOPO4 nanoparticles by Elaheh Gharibshahian, Fatemeh Shokri, Mohamad Saeed Yazdani, Majid Jafar Tafreshi

“…Acetic acid prevented the agglomeration of synthesized KTP nanoparticles after calcination, and resulted in uniform size distribution. Theoretical computations and FE-SEM analysis were used for morphological studies. …”
Get full text

Improved LDPC-based short-range frequency-hopping wireless communication system by Wei-dong FANG, Wu-xiong ZHANG, Ming-ming HU, Wei CHEN, Yang YANG

“…In short-range wireless communication system(SWCS)，the complex scenarios make its transmission face the diverse interference，and lower hardware resource leads to its limited anti-interference capability.To achieve the reliable transmission，a frequency-hopping-based SWCS (FH-SWCS)with improved LDPC (I-LDPC) code was constructed.In FH-SWCS，a low-complexity check-sum updating(LCU)algorithm was proposed to reduce the amount of computation.LCU-based multi-threshold bit flipping (LCU-MTBF) algorithm was given to increase the reliability of bit-flipping， improving decoding performance and reduce the complexity of decoding.The simulation results demonstrate that LCU is suitable for multiple hard decisions decoding algorithm，and it can reduce the computational complexity of original decoding algorithm without affecting its performance.When BER is 10⁻⁵，and iterations number is 5，0.15dB performance gain can be achieved，and the number of additions algorithm can be reduced about 40% in LCU-MTBF.In FH-SWCS with I-LDPC，when BER is 10⁻⁴，and SNR is 15dB，the performance gain about 7dB can be achieved to improve the anti-interference of the system effectively.…”
Get full text

Efficient Modeling Framework for FO-WLP Solder Interconnect Behavior During Thermal Cycling by Ramiro Sebastian Vargas Cruz, Viktor Gonda

“…This calculation framework can be employed for extensive parameter studies solved rapidly at low computational costs.…”
Get full text

Foveated Denoising for Ray Tracing Rendering by Daiyun Guo, Yan Zhang, Xubo Yang

“…Foveated graphics allocate computational load in light of the non-uniform nature of the human visual system (HVS), accelerating the scene rendering of virtual reality (VR). …”
Get full text

Bending of Nonconforming Thin Plates Based on the Mixed-Order Manifold Method with Background Cells for Integration by Xin Qu, Lijun Su, Zhijun Liu, Xingqian Xu, Fangfang Diao, Wei Li

“…Based on the present computational framework, comparisons with other studies were performed by taking several typical examples. …”
Get full text

Advantages of using interactive board at the classes of Higher Mathematics in technical university by Irina N. Pavlova, Michail A. Yevdokimov

“…In conditions of ubiquitous informatization of education the use of modern information technologies in the training process including the use of such a modern computer platform as an interactive board helps to achieve these goals. …”
Get full text

Large-Time-Step-Based Ray-Tracing Modeling of Light Delivery in One-Sidedly Cladding-Removed Step-Index Plastic Optical Fiber under Arbitrary Weave Structure by Sun Hee Moon, In Hwan Sul

“…The proposed model showed the similar result with the actual light intensity measurement, with computation time not much than one second.…”
Get full text

Dental Education Digitalization: Virtual Reality (VR) and Augmented Reality (AR) by Kaan Orhan, Merve Onder

“…Three-dimensional (3D) imaging and printing, computer-aided design and computer-aided manufacturing (CAD/CAM), artificial intelligence (AI), virtual reality (VR), and augmented reality (AR) based applications are building a significant presence in both dental education and practice. …”
Get full text

Can electronic screens influence head and neck posture in adolescents? A systematic review by Aline Mendonça Turci, Camila Gorla Nogueira, Michelli Belotti Bersanetti

“…Therefore, regarding smartphone use, considerations are limited. Overall, computer use is not responsible for postural changes in the head and neck of adolescents; however, more studies are needed to confirm this conclusion.…”
Get full text

EFFECT OF FLANKING SEQUENCES ON THE ACCURACY OF THE RECOGNITION OF TRANSCRIPTION FACTOR BINDING SITES by T. M. Khlebodarova, D. Yu. Oshchepkov, V. G. Levitsky, O. A. Podkolodnaya, E. V. Ignatieva, E. A. Ananko, I. L. Stepanenko, N. A. Kolchanov

“…The development of in vitro methods produced new experimental information on protein binding to DNA, which is accumulated in databases and used in studies of mechanisms regulating gene expression and in the development of computer-assisted methods of binding site recognition in pro- and eukaryotic genomes. …”
Get full text

Short-Term Traffic Prediction considering Spatial-Temporal Characteristics of Freeway Flow by Jiaqi Wang, Yingying Ma, Xianling Yang, Teng Li, Haoxi Wei

“…It can select upstream points that have a great impact on prediction point to reduce computation and increase accuracy in the next prediction work. …”
Get full text

Patch-Based Oil Painting Forgery Detection Based on Brushstroke Analysis Using Generative Adversarial Networks and Depth Visualization by Elhamsadat Azimi, Amirsaman Ashtari, Jaehong Ahn

“…Two methods including forgery scores computation using frequency analysis and trained discriminator models are proposed to identify counterfeiting. …”
Get full text

A Novel Method for DOA and Time Delay Joint Estimation in Multipath OFDM Environment by Xiangzhi Li, Weijia Cui, Haiyun Xu, Bin Ba, Yankui Zhang

“…Furthermore, methods proposed in this paper have much less computational complexity and better estimation performance compared with the multidimensional spectral peak search methods.…”
Get full text

Multimodal mismatch responses in mouse auditory cortex by Magdalena Solyga, Georg B Keller

“…Based on deviations between predictions and actual sensory input, primary sensory areas of cortex have been shown to compute sensorimotor prediction errors. How prediction errors in one sensory modality influence the computation of prediction errors in another modality is still unclear. …”
Get full text

Design of hybridly-connected hybrid precoding in millimeter-wave massive MIMO system by Hongyu ZHAO, Hongyan YAO

“…In order to improve the spectral efficiency of hybridly-connected hybrid precoding,the optimal hybrid precoding matrix under the ideal conditions was firstly obtained by using the principle of successive interference cancellation (SIC).Secondly,the optimal hybrid precoding matrix was decomposed into the digital precoding matrix and the analog precoding matrix by using the gradient descent theory.Finally,considering the constant modulus constraint condition of the analog precoding matrix,the digital and analog precoding matrices were optimized by using the alternating minimization method aim to maximize the spectral efficiency.Due to the hybridly-connected structure,the proposed hybrid precoding design algorithm is significantly superior to the partially-connected and fully-connected hybrid precoding in terms of the system energy efficiency.Meanwhile,the algorithm does not increase any hardware complexity and only increases a small amount of computation of the hybridly-connected hybrid precoding.Computer simulation results exhibit that the proposed algorithm can improve the system spectral efficiency of the hybridly-connected hybrid precoding,and the upgrade of spectral efficiency is more significant especially in the conditions that the number of radio frequency (RF) links is greater than the number of data streams.Since the sub-blocks are not necessary to satisfy orthogonality conditions,the proposed algorithm is more suitable for practical application than the existing hybridly-connected hybrid precoding.…”
Get full text