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Higher-Order Conditional Random Field established with CNNs for Video Object Segmentation

  • Hao, Chuanyan;Wang, Yuqi;Jiang, Bo;Liu, Sijiang;Yang, Zhi-Xin
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.15 no.9
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    • pp.3204-3220
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    • 2021
  • We perform the task of video object segmentation by incorporating a conditional random field (CRF) and convolutional neural networks (CNNs). Most methods employ a CRF to refine a coarse output from fully convolutional networks. Others treat the inference process of the CRF as a recurrent neural network and then combine CNNs and the CRF into an end-to-end model for video object segmentation. In contrast to these methods, we propose a novel higher-order CRF model to solve the problem of video object segmentation. Specifically, we use CNNs to establish a higher-order dependence among pixels, and this dependence can provide critical global information for a segmentation model to enhance the global consistency of segmentation. In general, the optimization of the higher-order energy is extremely difficult. To make the problem tractable, we decompose the higher-order energy into two parts by utilizing auxiliary variables and then solve it by using an iterative process. We conduct quantitative and qualitative analyses on multiple datasets, and the proposed method achieves competitive results.

Do Earnings Manipulations Matter Differently in Different Markets of China? Cost of Capital Consequences

  • Sohn, Byungcherl Charlie;Shim, Hoshik
    • Asia Pacific Journal of Business Review
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    • v.4 no.1
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    • pp.1-34
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    • 2019
  • This study investigates whether and how a firm's cost of equity capital is influenced by the extent of a firm's real earnings management (REM). Using a large sample of Hong Kong and Chinese firms over the 9-year period 2009-2017, we find that our implied cost of equity estimates are positively associated with both the extent of REM and the extent of accrual-based earnings management (AEM), but the positive association is stronger for REM than for AEM. We also provide evidence suggesting that the effect of AEM and REM on the cost of equity is more pronounced for Hong Kong firms than Chinese firms, and within Chinese firms, it is less pronounced for the state-owned enterprises (SOEs). Collectively, our results suggest that while both REM and AEM exacerbate the quality of earnings used by outside investors, REM does so to a greater extent than AEM, and thus the market demands a higher risk premium for REM activities than for AEM activities and that this cost of capital-increase effect is more prominent in a developed market like Hong Kong and mitigated by state ownership in China because of investors' expectations for a lower level of detriments to firm fundamentals by REM due to government's protection in a less developed market like China.

A Memory Configuration Method for Virtual Machine Based on User Preference in Distributed Cloud

  • Liu, Shukun;Jia, Weijia;Pan, Xianmin
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.12 no.11
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    • pp.5234-5251
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    • 2018
  • It is well-known that virtualization technology can bring many benefits not only to users but also to service providers. From the view of system security and resource utility, higher resource sharing degree and higher system reliability can be obtained by the introduction of virtualization technology in distributed cloud. The small size time-sharing multiplexing technology which is based on virtual machine in distributed cloud platform can enhance the resource utilization effectively by server consolidation. In this paper, the concept of memory block and user satisfaction is redefined combined with user requirements. According to the unbalanced memory resource states and user preference requirements in multi-virtual machine environments, a model of proper memory resource allocation is proposed combined with memory block and user satisfaction, and at the same time a memory optimization allocation algorithm is proposed which is based on virtual memory block, makespan and user satisfaction under the premise of an orderly physical nodes states also. In the algorithm, a memory optimal problem can be transformed into a resource workload balance problem. All the virtual machine tasks are simulated in Cloudsim platform. And the experimental results show that the problem of virtual machine memory resource allocation can be solved flexibly and efficiently.

Application of machine learning and deep neural network for wave propagation in lung cancer cell

  • Xing, Lumin;Liu, Wenjian;Li, Xin;Wang, Han;Jiang, Zhiming;Wang, Lingling
    • Advances in nano research
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    • v.13 no.3
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    • pp.297-312
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    • 2022
  • Coughing and breath shortness are common symptoms of nano (small) cell lung cancer. Smoking is main factor in causing such cancers. The cancer cells form on the soft tissues of lung. Deformation behavior and wave vibration of lung affected when cancer cells exist. Therefore, in the current work, phase velocity behavior of the small cell lung cancer as a main part of the body via an exact size-dependent theory is presented. Regarding this problem, displacement fields of small cell lung cancer are obtained using first-order shear deformation theory with five parameters. Besides, the size-dependent small cell lung cancer is modeled via nonlocal stress/strain gradient theory (NSGT). An analytical method is applied for solving the governing equations of the small cell lung cancer structure. The novelty of the current study is the consideration of the five-parameter of displacement for curved panel, and porosity as well as NSGT are employed and solved using the analytical method. For more verification, the outcomes of this reports are compared with the predictions of deep neural network (DNN) with adaptive optimization method. A thorough parametric investigation is conducted on the effect of NSGT parameters, porosity and geometry on the phase velocity behavior of the small cell lung cancer structure.

IIoTBC: A Lightweight Block Cipher for Industrial IoT Security

  • Juanli, Kuang;Ying, Guo;Lang, Li
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.17 no.1
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    • pp.97-119
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    • 2023
  • The number of industrial Internet of Things (IoT) users is increasing rapidly. Lightweight block ciphers have started to be used to protect the privacy of users. Hardware-oriented security design should fully consider the use of fewer hardware devices when the function is fully realized. Thus, this paper designs a lightweight block cipher IIoTBC for industrial IoT security. IIoTBC system structure is variable and flexibly adapts to nodes with different security requirements. This paper proposes a 4×4 S-box that achieves a good balance between area overhead and cryptographic properties. In addition, this paper proposes a preprocessing method for 4×4 S-box logic gate expressions, which makes it easier to obtain better area, running time, and power data in ASIC implementation. Applying it to 14 classic lightweight block cipher S-boxes, the results show that is feasible. A series of performance tests and security evaluations were performed on the IIoTBC. As shown by experiments and data comparisons, IIoTBC is compact and secure in industrial IoT sensor nodes. Finally, IIoTBC has been implemented on a temperature state acquisition platform to simulate encrypted transmission of temperature in an industrial environment.

Performance of laterally loaded piles considering soil and interface parameters

  • Fatahi, Behzad;Basack, Sudip;Ryan, Patrick;Zhou, Wan-Huan;Khabbaz, Hadi
    • Geomechanics and Engineering
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    • v.7 no.5
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    • pp.495-524
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    • 2014
  • To investigate the soil-pile interactive performance under lateral loads, a set of laboratory model tests was conducted on remoulded test bed of soft clay and medium dense sand. Then, a simplified boundary element analysis had been carried out assuming floating pile. In case of soft clay, it has been observed that lateral loads on piles can initiate the formation of a gap, soil heave and the tension crack in the vicinity of the soil surface and the interface, whereas in medium dense sand, a semi-elliptical depression zone can develop. Comparison of test and boundary element results indicates the accuracy of the solution developed. However, in the boundary element analysis, the possible shear stresses likely to be developed at the interface are ignored in order to simplify the existing complex equations. Moreover, it is unable to capture the influence of base restraint in case of a socketed pile. To bridge up this gap and to study the influence of the initial stress state and interface parameters, a field based case-study of laterally-loaded pile in layered soil with socketed tip is explored and modelled using the finite element method. The results of the model have been verified against known field measurements from a case-study. Parametric studies have been conducted to investigate the influence of the coefficient of lateral earth pressure and the interface strength reduction factor on the results of the model.

Filtering and Intrusion Detection Approach for Secured Reconfigurable Mobile Systems

  • Idriss, Rim;Loukil, Adlen;Khalgui, Mohamed;Li, Zhiwu;Al-Ahmari, Abdulrahman
    • Journal of Electrical Engineering and Technology
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    • v.12 no.5
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    • pp.2051-2066
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    • 2017
  • This paper deals with reconfigurable secured mobile systems where the reconfigurability has the potential of providing a required adaptability to change the system requirements. The reconfiguration scenario is presented as a run-time automatic operation which allows security mechanisms and the addition-removal-update of software tasks. In particular, there is a definite requirement for filtering and intrusion detection mechanisms that will use fewer resources and also that will improve the security on the secured mobile devices. Filtering methods are used to control incoming traffic and messages, whereas, detection methods are used to detect malware events. Nevertheless, when different reconfiguration scenarios are applied at run-time, new security threats will be emerged against those systems which need to support multiple security objectives: Confidentiality, integrity and availability. We propose in this paper a new approach that efficiently detects threats after reconfigurable scenarios and which is based on filtering and intrusion detection methods. The paper's contribution is applied to Android where the evaluation results demonstrate the effectiveness of the proposed middleware in order to detect the malicious events on reconfigurable secured mobile systems and the feasibility of running and executing such a system with the proposed solutions.

Evaluation of numerical procedures to determine seismic response of structures under influence of soil-structure interaction

  • Tabatabaiefar, Hamid Reza;Fatahi, Behzad;Ghabraie, Kazem;Zhou, Wan-Huan
    • Structural Engineering and Mechanics
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    • v.56 no.1
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    • pp.27-47
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    • 2015
  • In this study, the accuracy and reliability of fully nonlinear method against equivalent linear method for dynamic analysis of soil-structure interaction is investigated comparing the predicted results of both numerical procedures with the results of experimental shaking table tests. An enhanced numerical soil-structure model has been developed which treats the behaviour of the soil and the structure with equal rigour. The soil-structural model comprises a 15 storey structural model resting on a soft soil inside a laminar soil container. The structural model was analysed under three different conditions: (i) fixed base model performing conventional time history dynamic analysis, (ii) flexible base model (considering full soil-structure interaction) conducting equivalent linear dynamic analysis, and (iii) flexible base model performing fully nonlinear dynamic analysis. The results of the above mentioned three cases in terms of lateral storey deflections and inter-storey drifts are determined and compared with the experimental results of shaking table tests. Comparing the experimental results with the numerical analysis predictions, it is noted that equivalent linear method of dynamic analysis underestimates the inelastic seismic response of mid-rise moment resisting building frames resting on soft soils in comparison to the fully nonlinear dynamic analysis method. Thus, inelastic design procedure, using equivalent linear method, cannot adequately guarantee the structural safety for mid-rise building frames resting on soft soils. However, results obtained from the fully nonlinear method of analysis fit the experimental results reasonably well. Therefore, this method is recommended to be used by practicing engineers.

Collaborating for Science and Technology Under "One China, Two Systems"

  • Jeong, Seonphil
    • STI Policy Review
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    • v.5 no.1
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    • pp.98-111
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    • 2014
  • Since Deng Xiaoping's implementation of the "One China, Two Systems" policy, mainland China and the other Chinese regions of Hong Kong and Macau have cooperated in various ways to work towards successfully developing China's overall economy and industries. Particularly, cooperation between Guangdong Province and adjoining Hong Kong have been contributing to China's development, and this study explores their industry conditions including their current two governments policies designed to promote collaboration. The two partners were in a cooperative relationship even before the handover of Hong Kong, beginning with a "front shop, back factory" model built on their respective comparative advantages in labor-intensive industries in the 1980s. This cooperation effectively propelled the Pearl River Delta Region's industrialization process and enabled Hong Kong to transform from a manufacturing industry-based economy to a service industry-based economy. From the early 2000s, Guangdong and Hong Kong diversified their collaboration project from culture to high-tech. Also, both authorities produced several types of policies not only to promote both industries but also to harmonize their two different economic levels and models. As a result, the Guangdong and Hong Kong economies have developed remarkably well during the past two decades and continue to form future plans that carry plenty of optimism. Nonetheless, this study showed discrepancies between engineers and scientists from the two areas in their perception of their technology and science cooperation. Hong Kong experts were more negative in their responses but noted some successes of the collaboration, while Guangdong's group showed overall positive responses. This difference results from an unbalanced role in cooperation. Hong Kong's side responds to cooperation plans and takes on leading roles with more frequency than Guangdong's side in actual cooperation project processes.

Cucumber Growth and Nitrogen Uptake as Affected by Solution Temperature and NO3-:NH4+ Ratios during the Seedling

  • Yan, Qiu-Yan;Duan, Zeng-Qiang;Li, Jun-Hui;Li, Xun;Dong, Jin-Long
    • Horticultural Science & Technology
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    • v.31 no.4
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    • pp.393-399
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    • 2013
  • The effect of solution temperature and nitrogen form on cucumber (Cucumis sativus L.) growth, photosynthesis and nitrogen metabolism was investigated in hydroponic culture. Cucumber plants were grown for 35 days in a greenhouse at three constant solution temperatures ($15^{\circ}C$, $20^{\circ}C$, and $25^{\circ}C$) within a natural aerial temperature ($15-30^{\circ}C$). Four nitrate:ammonium ($NO{_3}^-:NH{_4}^+$) ratios (10:0, 8:2, 5:5, and 2:8 $mmol{\cdot}L^{-1}$) at constant nitrogen (N) concentration of $10mmol{\cdot}L^{-1}$ were applied within each solution temperature treatment. Results showed an increasing solution temperature enhanced plant growth (height, dry weight, and leaf area) in most N treatments. Dry weight accumulation was greatest at the 10:0 $NO{_3}^-:NH{_4}^+$ ratio in the $15^{\circ}C$ solution, the 5:5 ratio in the $20^{\circ}C$ solution and the 8:2 ratio in the $25^{\circ}C$ solution. Photosynthetic rate (Pn) response to solution temperature and $NO{_3}^-:NH{_4}^+$ ratio was similar to that of plant growth. Probably, the photosynthate shortage played a role in the reduced biomass formation. Increasing solution temperature enhanced the nitrate reductase (NR) activity, and further reduced shoots nitrate content. Our results indicate that the optimal ratio of nitrate to ammonium that promotes growth in hydroponic cucumber varies with solution temperature.