Dual Construction Research Articles

Lightweight, highly tough and durable YBa2Cu3O7 -x superconductor.

The inherent brittleness and low sustainability of YBa2Cu3O7 -x (YBCO) bulk superconductor seriously impede its wide applications. It is a great challenge to achieve toughening of this material and maintain its invariable superconductivity at the same time. Here, we fabricate bulk YBCO composite superconductor with a density of 2.15g cm-3, which consists of interlocking dual network construction and shows high toughness and durability. The results show that its unit normalized fracture energy at 77K reaches 638.6 kN m-2, which is ∼14.8 times that of YBCO bulk prepared by the top-seeded melt textured growth (TSMTG) method. Its critical current shows no degradation during the toughening process. Moreover, after 10 000 cycles, the sample does not fracture with the decay of critical current at 4K of 14.6% whereas the TSMTG sample fractures only after 25 cycles.

Distributed Multicast Traffic Engineering for Multi-Domain Software-Defined Networks

Previous research on SDN multicast traffic engineering mainly focused on intra-domain optimization. However, the main traffic on the Internet is inter-domain, and the selection of border nodes and sharing of network information between domains are usually distributed but ignored in previous works. In this article, we explore multi-domain online distributed multicast traffic engineering (MODMTE). To effectively solve MODMTE, we first prove that MODMTE is inapproximable within <inline-formula><tex-math notation="LaTeX">$|D_{\max }|$</tex-math></inline-formula> , which indicates that it is impossible to find any algorithm with a ratio better than <inline-formula><tex-math notation="LaTeX">$|D_{\max }|$</tex-math></inline-formula> for MODMTE, and <inline-formula><tex-math notation="LaTeX">$|D_{\max }|$</tex-math></inline-formula> is the maximum number of destinations for a multicast tree. Then, we design a <inline-formula><tex-math notation="LaTeX">$|D_{\max }|$</tex-math></inline-formula> -competitive distributed algorithm with the ideas of Domain Tree, Dual Candidate Forest Construction, and Forest Rerouting to achieve the tightest performance bound for MODMTE. Experiments on a real SDN with YouTube traffic manifest that the proposed distributed algorithm can reduce more than 30% of the total cost of bandwidth consumption and rule updates for multicast tree rerouting compared with the state-of-the-art algorithms.

Research on coal mine hidden danger analysis and risk early warning technology based on data mining in China

The development of intelligence and informatization is the inevitable trend of safety production in coal enterprises. Data mining technology plays an important role in promoting the development of coal mine safety management. This paper uses natural language processing technology and the Bi-LSTM model to automatically classify the hidden danger information and extract the theme of the coal mine. Then, taking the risk of a coal mine gas explosion as the starting point, the gas safety situation prediction model is constructed. Finally, an accurate management and control information system based on data mining technology and intelligent technology is developed, which realizes the information analysis of a large visual screen and the intelligent information processing of the APP. The system has been applied in the Luxi coal mine, and the application effect is good, which significantly improves the safety management ability and efficiency of the coal mine. This study can provide new ideas and methods for the dual pre-control construction of coal mines, strengthen the information processing capacity of the existing pre-control system, and promote the healthy development of the coal industry.

Research on path planning and scheduling of multi AGVs based on a two-way dual path map

With the development of intralogistics technology in factories, multi-AGV scheduling is still an important problem that needs to be solved by the control system. Aiming at the path planning and scheduling problem of automated guided vehicle (AGV) in the factory loading and unloading work, this paper designs a two-way dual path map construction method suitable for the factory, introduces a two-way different weight map construction method suitable for the right path, and uses “simulated road conditions” algorithm to calculate the shorter path, takes the shortest driving distance as the optimization goal to carry out the task scheduling analyzed possible conflicts and gives corresponding solutions. To verify the correctness of the map construction and algorithm, the multi-AGV simulation is carried out by using a robot operating system (ROS). The results show that the proposed method can realize the stable operation of multi-AGV in the factory environment without conflict and collision.

Missing-edge aware knowledge graph inductive inference through dual graph learning and traversing

Knowledge graph (KG) is a kind of structured human knowledge of modeling the relations between real-world entities. This paper studies the KG inductive inference problem, i.e., predicting the relations for out-of-KG entities. However, due to the incomplete nature of the KGs, the connections of some relations are missing. This makes existing differentiable rule learning methods unable to represent some possible rule candidates, which will further affect the inductive inference result. To solve this challenge, our research hypothesis is that the semantics of relation’s argument can be well used to reflect the possible connections between relations. We propose a KG inductive inference model, RuleNet, which consists of two parts. Firstly, a query-dependent dual graph construction method is proposed, which is able to learn the relation connections using the information of the relation’s argument. Secondly, a dual graph traversing method is proposed, which is able to traverse all possible rule candidates even if some rules cannot be formed due to the missing edges. Performance of the proposed methods is evaluated using the FB15K237 (10%–20%), WN18RR (10%–20%) and YAGO3-10 (10%–20%) benchmarks. Experimental results show that RuleNet achieves a superior performance compared with many strong baselines. Ablation studies have verified the effectiveness of the proposed network components. Qualitative analysis shows that RuleNet can learn meaningful dual graph and logic rules.

Emergent dual holographic description as a nonperturbative generalization of the Wilsonian renormalization group

In holographic duality, dynamics along the emergent extra-dimensional space describes a renormalization group (RG) flow of the corresponding quantum field theory (QFT). Following this idea, we develop an emergent holographic description of a QFT, where not only the information of the RG flow is introduced into an IR holographic dual effective field theory (HDEFT), but also the UV information of the QFT is encoded in the HDEFT through the IR boundary condition. In particular, we argue that this dual holographic construction is self-consistent within the assumption of bulk locality, showing the following two aspects: The solution of the Hamilton-Jacobi equation is given by the IR boundary effective action, and the Ward identity involving the QFT energy-momentum tensor current is satisfied naturally. We discuss the role of the RG $\beta$-function in the bulk effective dynamics of the metric tensor near a conformally invariant fixed point. We claim that this emergent dual gravity theory generalizes the perturbative Wilsonian RG framework into a non-perturbative way.

Hyperspectral Anomaly Detection via Dual Dictionaries Construction Guided by Two-Stage Complementary Decision

Low rank and sparse representation (LRSR) with dual-dictionaries-based methods for detecting anomalies in hyperspectral images (HSIs) are proven to be effective. However, the potential anomaly dictionary is vulnerable to being contaminated by the background pixels in the above methods, and this limits the effect of hyperspectral anomaly detection (HAD). In this paper, a dual dictionaries construction method via two-stage complementary decision (DDC–TSCD) for HAD is proposed. In the first stage, an adaptive inner window–based saliency detection was proposed to yield a coarse binary map, acting as the indicator to select pure background pixels. For the second stage, a background estimation network was designed to generate a fine binary map. Finally, the coarse binary map and fine binary map worked together to construct a pure background dictionary and potential anomaly dictionary in the guidance of the superpixels derived from the first stage. The experiments conducted on public datasets (i.e., HYDICE, Pavia, Los Angeles, San Diego-I, San Diego-II and Texas Coast) demonstrate that DDC–TSCD achieves satisfactory AUC values, which are separately 0.9991, 0.9951, 0.9968, 0.9923, 0.9986 and 0.9969, as compared to four typical methods and three state-of-the-art methods.

Reconstructing the Uncertain Past: Cracked Docudramas That Question Their Own Authority

Reconstructing the Uncertain Past: Cracked Docudramas That Question Their Own Authority

High torque density magnetorheological brake with multipole dual disc construction

This paper presents a magnetorheological (MR) brake with the intent of overcoming the problems of limited torque density and low manufacturability that conventional MR brakes come across. Firstly, the conceptual design of the proposed MR brake was finalized. High torque density was achieved by using the combined effect of the dual disc-type construction and multipole concept. High manufacturability was attained with a simple and lightweight mechanical construction. It was created with the major components, namely magnetically permeable stator cases, rotor discs, magnetic cores, winding coils, and MR fluid. The computer aided design (CAD) model and analytical models were also developed to study the performance of the proposed brake. Then, the dimensions of the brake were optimized through electromagnetic simulations. Further, the brake performance was simulated using a three-dimensional electromagnetic model. Finally, a prototype of the optimized MR brake was fabricated, and its performance was experimentally validated. It is clear from the computer simulations and experimental test results, that the proposed MR brake has achieved the objective. The maximum torque was 16.5 Nm, and the torque density of 79.3 Nm dm−3 was significantly higher than that of conventional MR brakes. This brake also exhibited a fairly rapid response with a response rate of 90 ms.

Force and deformation response analysis of dual structure slope excavation and support

Aiming at the problem of fuzzy selection basis of dual-structure slope simulation calculation parameters and the complicated force and deformation of the slope body in the supporting process. The study relies on the treatment project of the right side slope of the K5 + 220-K5 + 770 section of the TJ1A section of the Jiangwen Expressway. The slope is a gravel soil-weathered bedrock dual structure slope, which is referred to as Hetangba slope in the study. Use Midas/GTS NX to build a trial calculation model. A new method for checking simulation parameters of deep displacement monitoring data is proposed. The superposition calculation method of pore water pressure is proposed to realize the slope stress-seepage coupling. The analysis method of slope excavation and support process is put forward. The analysis shows that the most dangerous working condition in the slope excavation and support process is the second-level excavation. When there is a local displacement and plastic strain concentration area on the slope, the reference significance of the extreme value and the safety factor is reduced. Compared with the application of pore water pressure and no pore water pressure, there is no obvious change in the position of the extreme value of horizontal displacement and plastic strain in working conditions 2–8, but the extreme value changes are different. The slope safety factor of working conditions 2–8 is reduced. The continuous distribution zone of plastic strain inside the slope disappeared in condition 7. There is a very small unstable area on the top of the third-level slope of working conditions 9–11. The research results have great theoretical guiding significance for the measurement and control simulation and early warning analysis of the dual structure slope construction process.

Adolescent student-athletes dual career construction and well-being in dual career development environments: the role of environmental factors

The purpose of the scientific research was to study the career growth and well-being of adolescent athletes in conditions of dual career growth. The study revealed the features of adaptability to a career in high school of sports school. The article presents data on the extent to which self-esteem and gender are associated with adaptability to a dual career, the profiles of adaptation to the career of adolescent athletes have been defined, it is also revealed how the expectations of student-athletes depending on their success in sports and studies and the corresponding expectations of their parents are associated with their profiles of adaptation to a career. The new data on how the organizational culture of a sports school affects the career development of teenage athletes have been obtained.

The derived deformation theory of a point

We provide a prorepresenting object for the noncommutative derived deformation problem of deforming a module $X$ over a differential graded algebra. Roughly, we show that the corresponding deformation functor is homotopy prorepresented by the dual bar construction on the derived endomorphism algebra of $X$. We specialise to the case when $X$ is one-dimensional over the base field, and introduce the notion of framed deformations, which rigidify the problem slightly and allow us to obtain derived analogues of the results of Ed Segal's thesis. Our main technical tool is Koszul duality, following Pridham and Lurie's interpretation of derived deformation theory. Along the way we prove that a large class of dgas are quasi-isomorphic to their Koszul double dual, which we interpret as a derived completion functor; this improves a theorem of Lu-Palmieri-Wu-Zhang. We also adapt our results to the setting of multi-pointed deformation theory, and furthermore give an analysis of universal prodeformations. As an application, we give a deformation-theoretic interpretation to Braun-Chuang-Lazarev's derived quotient.

New Method of Temperature and Strain Decoupling Based on Directivity of Fiber Bragg Grating Sensing

Fiber Bragg Grating (FBG) has been widely used in temperature and strain measurement. Its center wavelength drift is affected by both temperature and strain. The influence of temperature and strain on center wavelength should be decoupled when measuring. In this paper, the sensing characteristics of FBG which pasted at different angles were simulated and analyzed, and it was found that FBG sensing for strain has strong directivity. A dual FBG composite construction based on the directivity of FBG sensing was proposed. Two FBGs were at an Angle of 62°. One FBG was sensitive to both temperature and strain, and the other was only sensitive to temperature. The structure can realize the decoupling of temperature and strain, and it doesn’t depend on feature of cantilever beam. It was verified by experimental analysis that the decoupling result was good by utilizing the combined FBG structure, and decoupling was realized easily.

Synthesis of a dual clickable fullerene platform and construction of a dissymmetric BODIPY-[60]Fullerene-DistyrylBODIPY triad

The synthesis of a methanofullerene platform bearing on one side an alkyne and on the other a protected alkyne is reported. This clickable fullerene building block was functionalized by two distinct BODIPY azido derivatives using a 1st CuAAC/alkyne deprotection/2nd CuAAC, sequence, through either stepwise or one-pot processes in an efficient manner. The triad displays strong absorption from 300 to 700 nm. The strong fluorescence quenching observed for the two BODIPYs within the triad is probably due to photo-induced energy and/or electron transfer events.

Diagrammatic Differentiation for Quantum Machine Learning

We introduce diagrammatic differentiation for tensor calculus by generalising the dual number construction from rigs to monoidal categories. Applying this to ZX diagrams, we show how to calculate diagrammatically the gradient of a linear map with respect to a phase parameter. For diagrams of parametrised quantum circuits, we get the well-known parameter-shift rule at the basis of many variational quantum algorithms. We then extend our method to the automatic differentation of hybrid classical-quantum circuits, using diagrams with bubbles to encode arbitrary non-linear operators. Moreover, diagrammatic differentiation comes with an open-source implementation in DisCoPy, the Python library for monoidal categories. Diagrammatic gradients of classical-quantum circuits can then be simplified using the PyZX library and executed on quantum hardware via the tket compiler. This opens the door to many practical applications harnessing both the structure of string diagrams and the computational power of quantum machine learning.

Weak nonhomogeneous wavelet dual frames for Walsh reducing subspace of L2(ℝ+)

In wavelet analysis, refinable functions are the bases of extension principles for constructing (weak) dual wavelet frames for [Formula: see text] and its reducing subspaces. This paper addresses refinable function-based dual wavelet frames construction in Walsh reducing subspaces of [Formula: see text]. We obtain a Walsh–Fourier transform domain characterization for weak [Formula: see text]-adic nonhomogeneous dual wavelet frames; and present a mixed oblique extension principle for constructing weak [Formula: see text]-adic nonhomogeneous dual wavelet frames in Walsh reducing subspaces of [Formula: see text].

Design, implementation, control and optimization of single stage pilot scale reverse osmosis process.

In this paper, a single-stage pilot-scale reverse osmosis (RO) process is considered. The process is mainly used in various chemical industries such as dye, pharmaceutical, beverage, and so on. Initially, mathematical modeling of the process is to be done followed by linearization of the system. Here a dual loop construction with a master and a slave is used. The slave uses the conventional proportional integral derivative (PID) with a reference model of the RO process and the master uses the fractional order proportional integral derivative (FOPID) with a real time RO process. The slave's output is compared with output of the real time RO process to obtain the error which is in turn used to tune the master. The slave controller is tuned using Ziegler Nichols method and the error criterion such as integral absolute error (IAE), integral squared error (ISE), integral time squared error (ITSE), integral time absolute error (ITAE) are calculated and the minimum among them was chosen as the objective function for the master loop tuning. Hence the tuning of the controller becomes a whole. Therefore two optimization techniques such as particle swarm optimization (PSO) and bacterial foraging optimization algorithm (BFO) are used for the tuning of the master loop. From the calculations, the ITSE had the minimum value among the performance indices, hence it was used as the objective function for the BFO and PSO. The best-tuned values will be obtained with the use of these techniques and the best among all can be considered for various industrial applications. Finally, the performance of the process is compared with both techniques and BFO outperforms the PSO from the simulations.

Study on insulation performance of environmental protection C5-PFK gas mixture based on time sharing and mutual fiber sensing detection technology

With the proposal of China’s goal of carbon peak and carbon neutralization, it is urgent for C5-PFK environment-friendly gas insulating medium to replace SF6 in key power equipment, and the research on C5-PFK mixed gas on-line detection technology should be carried out in advance. In view of this, this project is the first time to apply the time-sharing mutual optical fiber sensing detection technology to the C5-PFK mixed gas insulation and decomposition performance research. Theoretical and software analysis: the insulation and decomposition characteristics of C5-PFK gas mixture were simulated from the molecular dynamics level. The variation of absorption spectrum with the temperature and pressure was simulated by self programming simulation software platform, and coupling field distribution of electric power equipment in C5-PFK insulation environment was obtained. The grey system and the NSGA-II hybrid algorithm are applied to inverse and predict the decomposed gas concentration high coupling and nonlinear data series. Hardware and device development: develop a time-sharing and interactive optical fiber live detection device to achieve quantitative online acquisition of decomposition components of mixed gas. Build a real test platform for testing the power frequency, lightning and switching impulse performance of gas mixture. The influence of high frequency vibration and large temperature difference on the experimental results is solved by optimizing the optical system through structure iteration. The time-sharing and interactive optical fiber sensing detection technology can realize the detection of C5-PFK mixed gas with high sensitivity and wide concentration range, which provides theoretical and experimental basis for China’s dual carbon target construction demonstration project, and has good economic and social benefits.

Dual‐Metal Sites Boosting Polarization of Nitrogen Molecules for Efficient Nitrogen Photofixation

AbstractConstructing nitrogen (N2) adsorption and activation sites on semiconductors is the key to achieving efficient N2 photofixation. Herein, Mn–W dual‐metal sites on WO3 are designed toward efficient N2 photoreduction via controlled Mn doping. Impressively, the optimal 2.3% Mn‐doped WO3 (Mn‐WO3) exhibits a remarkable ammonia (NH3) production rate of 425 µmol gcat.−1 h−1, representing the best catalytic performance among the ever‐reported tungsten oxide‐based photocatalysts for N2 fixation. Quasi in situ synchrotron radiation X‐ray spectroscopy directly identifies that the Mn–W dual‐metal sites can enhance the polarization of the adsorbed N2, which is beneficial to the N2 activation. Further theoretical calculations reveal that the increased polarization is originated from the electron back‐donation into the antibonding orbitals of the adsorbed N2, hence lowering the reaction energy barrier toward the N2 photofixation. The concept of dual sites construction for inert molecule activation offers a powerful platform toward rational design of highly efficient catalysts for nitrogen fixation and beyond.

Advanced Control Method of 5-Phase Dual Concentrated Winding PMSM for Inverter Integrated In-Wheel Motor

This paper presents some techniques for driving novel 5 phase dual winding PMSM (Permanent Magnet Synchronous Motor) for the in-wheel motor. The motor realizes winding change over characteristics that can expand driving area from high-torque mode to high-speed mode due to the dual winding construction. However, the dual winding structure makes a high-current ripple due to high coupling between windings. The paper proposes some control methods to reduce the current ripple, including inverter career ripple. The paper also presents harmonics current injection, such as the 3rd harmonics current injection method, to reduce the torque ripple and generate higher torque.