HVS-based rate-control scheme for object-based embedded image coding by Dong-jie LI, Zhong-jie ZHU, Yu-er WANG

“…A new rate control algorithm for object-based embedded coding was proposed by incorporating the characteristics of human visual systems (HVS).Firstly,the importance and coding priority of each visual object were estimated.Then,bit-plane modeling and entropy coding were implemented for each object based on the coding priority and its corresponding bit stream was outputted.Finally,bit streams of visual objects were truncated and reassembled based on the rate-distortion optimization principle under the given bit rate.Experimental results reveal that the proposed algorithm can encode and transmit different important objects with different strategies.Compared with the PCRD algorithm,the proposed algorithm can improve the overall visual quality of the reconstructed image.…”
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CFD Analysis of the Effect of Elbow Radius on Pressure Drop in Multiphase Flow by Quamrul H. Mazumder

“…The comparison of CFD predictions with experimental data and empirical model outputs showed good agreement.…”
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The international multi-system OSEs/OSSEs by the UN Ocean Decade Project SynObs and its early results by Yosuke Fujii, Yosuke Fujii, Elisabeth Remy, Magdalena Alonso Balmaseda, Shoichiro Kido, Jennifer Waters, K. Andrew Peterson, Gregory C. Smith, Ichiro Ishikawa, Kamel Chikhar

“…The analysis also indicates the possibility that there are some characteristic differences in the observation impacts between low-resolution and eddy-resolving ocean prediction systems. Although OSE outputs of only four ocean prediction systems are available now, we will make further investigation, adding OSE outputs of other prediction systems that will be submitted in the near future.…”
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A Signal Coordination Control Based on Traversing Empty between Mid-Block Street Crossing and Intersection by Changjiang Zheng, Genghua Ma, Jinhua Wu, Xiaoli Zhang, Xiaolei Zhang

“…Through alternating the linear optimization model, the system outputs the distribution of signal timing and system operational factors (delays in vehicles and mid-block street crossing). …”
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An Energy-Domain IR NUC Method Based on Unsupervised Learning by Ting Li, Xuefeng Lai, Sheng Liao, Yucheng Xia

“…The results show that the trained correction network is uniform and produces stable outputs when the integration time and attenuator change within the optimal dynamic range. …”
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Relation Classification via Recurrent Neural Network with Attention and Tensor Layers by Runyan Zhang, Fanrong Meng, Yong Zhou, Bing Liu

“…The above two feature extraction operations are based on the LSTM networks and use their outputs. Our model allows end-to-end learning from the raw sentences in the dataset, without trimming or reconstructing them. …”
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Blind identification and digital calibration method of broadband receiver front-end nonlinearity by PENG Jun1, MA Hong1, JIN Jiang, HU Xiao1, PENG Liang1, ZHANG Hui1, GUO Wu-Jun1

“…A novel real-time digital nonlinearity post-calibration method was developed based on the Volterra series.With the purpose of fitting the inverse transfer function of the nonlinear distortion characteristics of the receiver,parameters of the model were measured and self-adaptively updated without knowledge of the inputs using the blind identification cri-terion that was aimed at the minimizing of the total energy of the frequencies other than strong signals in the calibrated outputs.Experimental results on multi-tone excitation and 16-QAM modulation input show that with the proposed method,spurs-free-dynamic-range（SFDR） of the high efficiency nonlinear receiver front-end would achieve almost 26dB improvement,and the ability of the system in weak signals detection can be also significantly enhanced.…”
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Passive Localization of 3D Near-Field Cyclostationary Sources Using Parallel Factor Analysis by Jian Chen, Guohong Liu, Xiaoying Sun

“…Firstly, we construct a parallel factor (PARAFAC) analysis model by computing the third-order cyclic moment matrices of the properly chosen sensor outputs. Then, we analyze the uniqueness of the constructed model and obtain three-dimensional (3D) near-field parameters via trilinear alternating least squares regression (TALS). …”
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Chaos Synchronization Based on Unknown Input Proportional Multiple-Integral Fuzzy Observer by T. Youssef, M. Chadli, H. R. Karimi, M. Zelmat

“…In a secure communication configuration, this unknown input is regarded as a message encoded in the chaotic system and recovered by the proposed PIO. Both states and outputs of the fuzzy chaotic models are subject to polynomial unknown input with kth derivative zero. …”
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Observer-Based Bounded Control for Discrete Time-Delay Uncertain Nonlinear Systems by Bei Wu, Mou Chen, Xiaoming Chen

“…The parameters of the state estimator and the disturbance observer are calculated by solving linear matrix inequalities (LMIs). By applying the outputs of the state estimator and the disturbance observer, the sufficient condition for the existence of the bounded controller is derived based on an appropriate Lyapunov function candidate. …”
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Assessment of Parameter Sensitivity in Rainfall-Runoff Modelling for Peninsular Malaysia by Mohamad Arbai Nurul Afiqah, Masayasu Irie, Chong Khai Lin

“…Subjected to overland flow behaviour condition, six model parameters were individually tested to observe the significance of the changes in the runoff outputs from the model default values. The comparisons were conducted in terms of average, maximum, and minimum discharge throughout the period. …”
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CONSUMER BEHAVIOR TOWARDS NEW FINANCIAL TECHNOLOGIES: AN ANALYSIS OF THE ADOPTION OF DIGITAL BANKING SERVICES by NIOATA (CHIREAC) ROXANA-MIHAELA

“…Also discussed are relevant theoretical models, such as the Unified Theory of Acceptance and Use of Technology (UTAUT) and the Technology Acceptance Model (TAM), which help to explain the factors that influence adoption intentions of new financial technologies. …”
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Quantum-Cognitive Neural Networks: Assessing Confidence and Uncertainty with Human Decision-Making Simulations by Milan Maksimovic, Ivan S. Maksymov

“…However, like many computer software systems, they can fail by generating confusing or erroneous outputs or by deferring to human operators to interpret the results and make final decisions. …”
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Nursing Care According to NANDA-I Diagnoses, NIC Interventions, and NOC Outcomes in a Patient with Autoimmune Encephalitis: A Case Report by Selda Çelik, Emine Ezgi Özçelik

“…In the case presented here, care was planned and implemented based on nursing diagnoses by field in the NANDA-I classification, NIC interventions, and NOC outputs. The patients’ nursing diagnoses were identified as ineffective health management, imbalanced nutrition: less than body requirements, fluid volume deficit, constipation, impaired physical mobility, impaired verbal communication, hopelessness, impaired social interaction, ineffective sexuality, risk for impaired psychological health, risk for ineffective activity planning, risk for impaired independent decision making, hyperthermia, chronic pain, and risk for delayed development. …”
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Uncertain Random Data Envelopment Analysis: Efficiency Estimation of Returns to Scale by Bao Jiang, Shuang Feng, Jinwu Gao, Jian Li

“…In this paper, we attempt to explore the uncertain random data envelopment analysis approach so as to solve the problem that the inputs and outputs of DMUs are uncertain random variables. Chance theory is applied to handling the uncertain random variables, and hence, two evaluating models, one for increasing returns to scale (IRS) and the other for decreasing returns to scale (DRS), are proposed, respectively. …”
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Development of oxidation heat of the coal left in the mined-out area of a longwall face: Modelling using the fluent software by Taraba B., Slovak V., Michalec Z., Chura J., Taufer A.

“…Detailed measurements in the district then enabled re-verification of the model outputs with actual data in situ. The main attention was paid to modelling the effect of grain size of the coal left in the mined-out area on the oxidation heat and gases evolution. …”
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APPLICATION OF SELECTED DEBT RATIOS ON SLOVAK AGRICULTRURE by Jana Prevužňáková, Tomáš Rábek, Peter Serenčéš

“…Ratio of debt is in general a ratio of outputs of each balance sheet and profit and loss statement of a company with the regard to the items which are characterizing the actual debt. …”
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Evaluation of Student Tahfidz Program Implementation Faculty of Social and Political Science Through the Countenance Evaluation Model Approach by Meli Fauziah, Mubarok Mubarok, Budi Budiman, Muhibudin Wijaya Laksana

“…All programs in the Faculty of Social and Political Sciences of UIN SGD Bandung are expected to produce outputs that have an impact on improving quality in all fields. …”
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THE PERMISSIBLE INPUT OF BIOGENIC ELEMENTS TO WATER BODIES WITH SLOWED AND MODERATE WATER EXCHANGE by Aleksandr N. Popov

“…The article presents the outputs of researches on determination of permissible input of biogenic matter to water bodies with different types of moderate and slowed water exchange: that is phytoplankton, phytoplankton/macrophyte, and macrophyte types. …”

Real-Time Optimal Approach and Capture of ENVISAT Based on Neural Networks by Hongjue Li, Yunfeng Dong, Peiyun Li

“…In this work, a learning-based approach is used to rapidly generate the control outputs of the controller based on a series of training samples. …”
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