An ontology-driven visualization model for production monitoring systems

Contemporary production monitoring systems tend to focus on the integration of information of manufacturing from the field level, production level to the enterprise level. They are desktop based and provides static interface for all the users while requiring a lot of hardcoding logic. The production monitoring system developed by us brings new concepts and ideas such as its mobile platform. Moreover, its adaptive information visualization of the information that takes the context of user into account is expected to improve the usability of the system. This adaptivity feature is realized by the designed ontology-driven visualization model in this thesis. The visualization model contains sufficient information about the context, user, device, tasks and interface thanks to the powerful semantic technology-ontology. Furthermore, ontology allows defining rules and reasoning for the relationships of the concepts in the visualization model. Hence the logic and intelligence of the adaptivity is separated out of the interface application itself instead of hardcoding. In order to validate the designed the visualization model and methodology, several adaptation effects are realized by integrating the visualization model in the project for our test bed-Fastory production line, which is a cell phone assembly line. This thesis provides a complete approach for the design of the visualization model, including the design of adaptation effects, user modelling and logic by ontology. Finally, the test of the visualization model is demonstrated

Introduction to Data Analytics and Data Mining for Social Media Minitrack

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Coordinated Formation Control for Intelligent and Connected Vehicles in Multiple Traffic Scenarios

In this paper, a unified multi-vehicle formation control framework for Intelligent and Connected Vehicles (ICVs) that can apply to multiple traffic scenarios is proposed. In the one-dimensional scenario, different formation geometries are analyzed and the interlaced structure is mathematically modelized to improve driving safety while making full use of the lane capacity. The assignment problem for vehicles and target positions is solved using Hungarian Algorithm to improve the flexibility of the method in multiple scenarios. In the two-dimensional scenario, an improved virtual platoon method is proposed to transfer the complex two-dimensional passing problem to the one-dimensional formation control problem based on the idea of rotation projection. Besides, the vehicle regrouping method is proposed to connect the two scenarios. Simulation results prove that the proposed multi-vehicle formation control framework can apply to multiple typical scenarios and have better performance than existing methods

Direct relationship between levels of TNF-α expression and endothelial dysfunction in reperfusion injury

We previously found that myocardial ischemia/ reperfusion (I/R) initiates expression of tumor necrosis factor-α (TNF) leading to coronary endothelial dysfunction. However, it is not clear whether there is a direct relationship between levels of TNF expression and endothelial dysfunction in reperfusion injury. We studied levels of TNF expression by using different transgenic animals expressing varying amounts of TNF in I/R. We crossed TNF overexpression (TNF++/++) with TNF knockout (TNF-/-) mice; thus we have a heterozygote population of mice with the expression of TNF "in between" the TNF-/- and TNF++/++ mice. Mouse hearts were subjected to 30 min of global ischemia followed by 90 min of reperfusion and their vasoactivity before and after I/R was examined in wild type (WT), TNF-/-, TNF++/++ and TNF heterozygote (TNF -/++, cross between TNF-/- and TNF++/++) mice. In heterozygote TNF-/++ mice with intermediate cardiac-specific expression of TNF, acetyl-choline-induced or flow-induced endothelial-dependent vasodilation following I/R was between TNF++/++ and TNF-/- following I/R. Neutralizing antibodies to TNF administered immediately before the onset of reperfusion-preserved endothelial-dependent dilation following I/R in WT, TNF-/++ and TNF++/++ mice. In WT, TNF -/++ and TNF++/++ mice, I/R-induced endothelial dysfunction was progressively lessened by administration of free-radical scavenger TEMPOL immediately before initiating reperfusion. During I/R, production of superoxide (O2-) was greatest in TNF ++/++ mice as compared to WT, TNF-/++ and TNF -/- mice. Following I/R, arginase mRNA expression was elevated in the WT, substantially elevated in the TNF-/++ and TNF ++/++mice and not affected in the TNF-/- mice. These results suggest that the level of TNF expression determines arginase expression in endothelial cells during myocardial I/R, which is one of the mechanisms by which TNF compromises coronary endothelial function in reperfusion injury

Role of transcription factors in porcine reproductive and respiratory syndrome virus infection: A review

Porcine reproductive and respiratory syndrome (PRRS) is an infectious disease caused by the PRRS virus that leads to reproductive disorders and severe dyspnoea in pigs, which has serious economic impacts. One of the reasons PRRSV cannot be effectively controlled is that it has developed countermeasures against the host immune response, allowing it to survive and replicate for long periods. Transcription Factors acts as a bridge in the interactions between the host and PRRSV. PRRSV can create an environment conducive to PRRSV replication through transcription factors acting on miRNAs, inflammatory factors, and immune cells. Conversely, some transcription factors also inhibit PRRSV proliferation in the host. In this review, we systematically described how PRRSV uses host transcription factors such as SP1, CEBPB, STATs, and AP-1 to escape the host immune system. Determining the role of transcription factors in immune evasion and understanding the pathogenesis of PRRSV will help to develop new treatments for PRRSV

Computation Efficiency Optimization for Millimeter-Wave Mobile Edge Computing Networks with NOMA

In this paper, by improving the computation efficiency (CE) and ensuring the fairness among users, we study the CE optimization for millimeter-wave mobile edge computing (mmWave-MEC) Networks with NOMA, where both the analog beamforming (ABF) and hybrid beamforming (HBF) architectures under the partial offloading mode are considered. Firstly, according to the max-min fairness criterion, the CE maximization problem is formulated to jointly optimize the ABF and the local resource allocation of each user. An efficient CE optimization algorithm based on the penalized successive convex approximation is proposed to solve this non-convex problem. Then, the max-min CE optimization problem in mmWave-MEC with HBF is studied, where the joint design of the HBF and the local resource allocation of each user is carried out. By using the penalty function and the inexact block coordinate descent method, a feasible CE optimization algorithm is developed to tackle this challenging problem. Simulation results verify the convergence of the proposed algorithms and show that the proposed computation-efficient resource allocation schemes can improve the CE effectively, and mmWave-MEC with HBF can obtain higher CE than that with ABF. Besides, the NOMA scheme exhibits superior performance over the conventional orthogonal multiple access scheme in terms of CE

Computation Efficiency Optimization for RIS-Assisted Millimeter-Wave Mobile Edge Computing Systems

In this paper, we present the computation-efficient resource allocation (RA) schemes for millimeter-wave mobile edge computing (mmWave-MEC) system with the aid of reconfigurable intelligent surface (RIS), which is used to assist the uplink communication from the users to the base station (BS). By means of the theoretical analysis, the achievable rate and computation efficiency (CE) are derived. Then, the optimization problem for the CE maximization under the constraints of the minimum rate, maximum power consumption and local CPU frequency is formulated, where the joint design of the hybrid beamforming at the BS and the passive beamforming at the RIS as well as the local resource allocation of each user is carried out. An effective iterative algorithm based on the penalized inexact block coordinate descent (BCD) method is proposed to obtain the computation-efficient RA scheme. Next, a low-complexity suboptimal RA scheme based on the BCD method is proposed, and corresponding algorithm is presented. Simulation results show that the proposed schemes are effective, and high CE can be attained. Moreover, the second scheme can achieve the CE performance close to the first scheme but with lower complexity. Besides, it is effective to deploy the RIS scheme in mmWave-MEC system, which can strike a balance between the CE and energy consumption when compared to the conventional relay schemes

A new perspective for assessing water transport and associated retention effects in a large reservoir

Author Posting. © American Geophysical Union, 2018. This article is posted here by permission of American Geophysical Union for personal use, not for redistribution. The definitive version was published in Geophysical Research Letters 45 (2018): 9642-9650, doi:10.1029/2018GL079687.Radioactive tracer techniques may be useful for assessing water transport and the overall effects of concurrent biogeochemical processes in river‐reservoir systems. In this study, we show that radium isotopes can assess the hydrodynamics and sediment/nutrient retention in the Xiaolangdi Reservoir, the largest impoundment along the Yellow River, China. Activity ratios of 224Ra/226Ra and 223Ra/226Ra were used for water mass age calculations in the riverine, transition, and lentic reaches of the reservoir. Water ages were combined with the length scale of three river‐reservoir zones to determine water transport rates of 3.6 ± 1.2, 1.3 ± 0.3, and 0.16 ± 0.14 km/day, respectively. Radium ages were also used to quantify the net retention of sediment and nutrients in different parts of the river‐reservoir system. Suspended sediment was removed at a rate of 1.4 ± 0.6 g/m3/day, mainly in the riverine zone. Nutrient dynamics were more complicated, with addition or removal at different rates within the three zones.Ministry of Education of the People's Republic of China Grant Number: MS2014ZGHY028; Qingdao National Laboratory for Marine Science and Technology Grant Number: 2016ASKJ02; National Science Foundation of China Grant Numbers: 41521064, 41876075, 41576075; Ministry of Science and Technology of the People's Republic of China Grant Number: 2016YFA06009022019-03-2