Miracle-dz/UniFAR-FTUs huggingface dataset:
Research on System Dynamics Simulation of Building Materials Supply Chain

The bullwhip effect of supply chain under non-information sharing and information sharing environment is analyzed theoretically. The model of building materials supply chain in two environments is constructed, and the system dynamics flow chart is established by Vensim PLE simulation software. The correctness of the theoretical analysis is verified by an example simulation. The sensitivity analysis of transportation delay time and manufacturer’s production cycle shows that extending transportation time can reduce manufacturer’s inventory, but raw material inventory in transit will increase; Shortening the production cycle of producers under the information sharing environment is more conducive to reducing the bullwhip effect of the supply chain.
Erratum: “Systematic Phase Curve Study of Known Transiting Systems from Year One of the TESS Mission” (2020, AJ, 160, 155)

of the TESS Mission” (2020, AJ, 160, 155) Ian Wong , Avi Shporer , Tansu Daylan , Björn Benneke , Tara Fetherolf , Stephen R. Kane , George R. Ricker , Roland Vanderspek , David W. Latham , Joshua N. Winn , Jon M. Jenkins , Patricia T. Boyd , Ana Glidden , Robert F. Goeke , Lizhou Sha , Eric B. Ting , and Daniel Yahalomi 1 Department of Earth, Atmospheric and Planetary Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; iwong@mit.edu 2 Department of Physics and Kavli Institute for Astrophysics and Space Research, Massachusetts Institute of Technology, Cambridge, MA 02139, USA 3 Department of Physics and Institute for Research on Exoplanets, Université de Montréal, Montréal, QC, Canada 4 Department of Physics and Astronomy, University of California, Riverside, CA 92521, USA 5 Department of Earth and Planetary Sciences, University of California, Riverside, CA 92521, USA 6 Center for Astrophysics|Harvard & Smithsonian, 60 Garden Street, Cambridge, MA 02138, USA 7 Department of Astrophysical Sciences, Princeton University, Princeton, NJ 08544, USA 8 NASA Ames Research Center, Moffett Field, CA 94035, USA 9 Astrophysics Science Division, NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA Received 2021 March 29; published 2021 May 4
Personalized Gait Treatment Using Passive Controllable Ankle Foot Orthosis

Ankle Foot Orthosis (AFO) is usually prescribed for gait treatment. Low cost, easy to fabricate, safe, long term usage, and personalized AFO is demanded to facilitate and accelerate the prescription process, which is iterative, individualized, and collaborative. Passive Controllable AFO (PICAFO) was developed to fulfil the demand, consisting of several research works, such as the gait detection method, smart actuator design, and controller development. Two gait detection methods had been considered. Firstly, the system utilized the Electromyography (EMG) biosignal to detect the stance and swing phase. Secondly, hybrid Magnetorheological Elastomer (MRE) is used to detect four gait phases based on foot contact. The smart actuator, a small scale Magnetorheological (MR) brake, had been constructed, which generated 2.1 Nm maximum damping stiffness to partially support the ankle stiffness. The controller is essential because controlling the damping stiffness accordingly to the current gait ensures positive assistance. The latest version of the PICAFO controller utilized ankle velocity reference to control the MR brake stiffness, which can be estimated based on the user’s walking speed and body mass index. The presented research works show that achieving personalized gait treatment using the PICAFO system is possible.
Two-dimensional clusters of colloidal tetramers via droplet emulsion templating

In this report, using a kinetic Monte Carlo simulation method we considered a hierarchical assembly of planar square tetramers, constrained in a plane, via droplet evaporation. We found that colloidal tetramers undergo a structural transition from initial square-shape tetramers to diamond-like tetramers. A variety range of novel cluster configurations belongs to a particular class of geometrical shape, that has not been previously reported to the clusters of single colloids. Considering potential applications of colloidal clusters in electronics, photonic materials, our result could provide an effective way to control the formation of complex colloidal cluster structures.
Research on the Application of Deep Learning in Computer Image Recognition

Deep learning is a new exploration, which is cited in machine research. It can mainly perform feature extraction and analysis by simulating the human brain. It makes the development of computer image recognition technology further. This article mainly discusses the classification of deep learning network models, and it analyzes the typical applications of deep learning models in image recognition.
Coronal Conditions for the Occurrence of Type II Radio Bursts

Type II radio bursts are generally observed in association with flare-generated or coronal-mass-ejection-driven shock waves. The exact shock and coronal conditions necessary for the production of type II radio emission are still under debate. Shock waves are important for the acceleration of electrons necessary for the generation of the radio emission. Additionally, the shock geometry and closed field line topology, e.g., quasi-perpendicular shock regions or shocks interacting with streamers, play an important role for the production of the emission. In this study we perform a 3D reconstruction and modeling of a shock wave observed during the 2014 November 5 solar event. We determine the spatial and temporal evolution of the shock properties and examine the conditions responsible for the generation and evolution of type II radio emission. Our results suggest that the formation and evolution of a strong, supercritical, quasi-perpendicular shock wave interacting with a coronal streamer were responsible for producing type II radio emission. We find that the shock wave is subcritical before and supercritical after the start of the type II emission. The shock geometry is mostly quasi-perpendicular throughout the event. Our analysis shows that the radio emission is produced in regions where the supercritical shock develops with an oblique to quasi-perpendicular geometry.
Receiver System Based Student Tracking System using IoT

Our work is a result of an insight to a specific problem faced by kindergarten children or kids under 12 years when they are at school and in their everyday life. The ultimate goal of this project is to plan the blue print and related work of RF based Student Tracking System. By using the in and out monitoring records that helps to create the suitable place or environment which helps in maintaining their safety. The proposed system notifies the parents when they enter and leave the school via mobile text messages with the help pf GSM. The system uses fingerprint verification as a part for locking and unlocking the student band which is worn by each and every student. Therefore, with the help of the proposed system safety of the kindergarten children or kids under 12 years (i.e) school student’s is enhanced. The testing is done and the appropriate result is obtained which is used to calculate the intended method.
Collaborative robot manipulator control in dynamic environment using computer vision system

This paper provides the trajectory planning and motion control schema for collaborative robot manipulator in a dynamic environment using the computer vision system. The key result is a real-time motion control algorithm using potential fields approach. The simulation results illustrate the performance of the proposed algorithm. As a test platform, the KUKA iiwa manipulator is used.
An algorithm for generating flame image data sets based on GAN

In order to solve the problem of insufficient flame image data, this paper designs a flame image data sets generation algorithm based on generative adversarial network and studies the influence of different generator depth and training times on the flame generation effect. The effect of generative flame under different conditions was quantitatively evaluated by two indexes of Inception score and PSNR. The simulation results show that when the generator is 9 layers and training is 80 times, the Inception score is 2.06 and PSNR is 13.18. The effect of generative flame image is better at this time. Therefore, this generative adversarial network model can better realize the purpose of generating the flame image data sets.
Factors influencing the adoption of innovation in beef cattle farming: A study in Peninsular Malaysia

Beef cattle plays a role as a protein source to the population of a country. However, the current demand for beef is greater than its supply making it a hot issue in food security. Moreover, the price of local beef per kilogram is higher than imported beef. The use of innovations such as artificial insemination, biosecurity and integration techniques is yet to be applied by beef cattle farmers although empirically proven to improve beef production. This situation has become more critical among beef producers in Malaysia. This study was conducted on 233 beef cattle farmers at four states of Peninsular Malaysia including Kedah, Kelantan, Selangor and Johor. Ordinal logistic regression was employed to analyse the influencing factors for adopting innovation in beef cattle farming. The result demonstrated that farmer-to-farmer extension, level of education, number of cattle, value of a business and access to information were statistically significant at 0.1, 0.01 and 0.05. However, age, experience and government extension showed an insignificant relationship with the adoption of innovation. Based on the findings, it can be concluded that farmers are still interested in adopting innovation; however, some limitations were found to drive them away from it. Hence, the collaboration among all parties is a must to ensure the success of this sector and achieve a self-sufficiency level for the Malaysian population.
Research on selection of commercial industrial simulation software oriented to virtual commissioning

Virtual commissioning can find problems in the PLC program earlier and improve the efficiency of on-site commissioning. When constructing the FMS digital twin system with Beckhoff TwinCAT as the master control system for virtual commissioning of the production line, in order to select the most suitable modeling environment, this paper conducts research of predecessors based on commercial industrial simulation software. The four common commercial industrial simulation software with virtual commissioning function (Visual Components, Tecnomatix Process Simulate, Emulate3D, Flexsim) are introduced, analysed and compared from the two perspectives of software functions and features. Finally, it explains which commercial simulation software should be used for simulation and virtual commissioning in different scenarios.
Multi-aircraft cooperative detection strategy based on formation

A filter algorithm combining Interactive Multiple Model (IMM) algorithm with adaptive transition probability and Unscented Kalman Filter (UKF) is proposed for the issue of state estimation of highly maneuvering targets with unknown motions. The centralized fusion structure is adopted to process measurements of multi-aircraft to improve the accuracy of target state estimation. The cooperative detection strategy based on formation is studied from two aspects of the aircrafts number and configuration radius, and conclusions are drawn through simulation: In general, the more the number of aircrafts, the better the detection effect; when the configuration radius is 250km and 100km, the better cooperative detection effect can be obtained; considering the cost issue, 4 aircrafts can be selected for cooperative detection in a rectangular formation with a half diagonal of 100km.
Bioreactor Design For Solid State Lignocellulosic Hydrolysis: A Review

Enzymatic hydrolysis of lignocellulose to produce reducing sugars to be used as bioethanol raw material has recently attracted many scientists’ attention to investigate. It needs to be performed on a big scale, so it is essential to select an appropriate bioreactor. This work discusses enzymatic hydrolysis in solid-state. Solid hydrolysis is suitable for the growth of filamentous fungi to produce hydrolytic enzymes. A bioreactor is the heart of the process since the chemical reactions take place in it. In biochemical reactions, bioreactor plays two complementary functions, i.e., the reaction holder and the place for microorganism to grow. Therefore, to design a good bioreactor, these two functions should be considered carefully. Besides, we also developed a bioreactor with a continuous air supply to provide oxygen for hydrolytic fungi.
Low field-NMR in measuring water mobility and distribution in beef granules during microwave drying process

Water is the most important component in food systems especially in dried food. Different moisture content, distribution and existence of water in foods that will have significant effect on the flavor, texture, stability and shelf-life of dried food products. Therefore, the study of water mobility and distribution in dried food during drying process is of important significance. Low field-nuclear magnetic resonance (LF-NMR) was employed in this study to evaluate water mobility and distribution in beef granules during microwave drying process at high power, medium high power, medium power and medium low power respectively. T 2 relaxation test results showed that bound water, immobilized water and free water werethe three existing states of water in beef granules; immobilized water was transformed into bound water along with the increasing of relaxation time during drying at different conditions. The MRI results directly showed that the microwave drying is a well-distributed drying process, the water-desorbing rate of outer layer is equivalent to inner layer during microwave drying process, what’s more, the higher the microwave power the quicker the water-desorbing rate. Medium high power was the best drying power for beef granules which has the largest moisture content (20.87%) and lowest Aw value (0.676).
Trends and Patterns of Sustainable Technology: A Bibliometric Analysis of Economies

Engineering creates efficient products, systems, and structures. However, suppose the products, procedures, or facilities are not easy to find the most efficient solutions to current issues. In that case, engineering efficiency is risky because the wrong thing could be engineered successfully and potentially worsens. The question is how sustainable technology (ST) can contribute. Statistical information was collected from the repository of Elsevier Scopus. The research request consisted of all publications with the terms ‘sustainable technology’ in their name, description, and keywords. The study was conducted from January 2010 to June 2019. The subject is under pressure; numerous joint publications are available; articles by various writers from European and Asian countries dominate the number of papers, with Finland and India as the leading economies.
Review of FET Ring mixer topologies for wireless communication

This paper presents an important component of the radio frequency transceiver called as mixer. It is a critical component and plays an important role as it has the ability for frequency conversion in RF systems. This paper focuses on double balanced ring topology of passive mixers. Ring mixer is one of the best example of passive mixers because of double balanced in nature. Double balanced is one of the most widely used topology as it suppresses both LO and RF at the output the of mixer. Various techniques have been used to improve the performance of standard topology of the ring mixer such as noise figure, linearity, conversion gain and port isolation, so these techniques have been re-viewed and compared with the previous studies. This paper also have brief discussion about a useful passive circuitry say balun and its designing with mixer as this is generally used to convert single ended signal to differential signal.
Quadric Lyapunov Algorithm for Stochastic Networks Optimization with Q-learning Perspective

In this article, we investigate stochastic networks optimization using Quadric Lyapunov Algorithm (QLA) with Q-learning perspective. We proposed firstly a model of stochastic queueing networks with power constraints. QLA is then proposed aiming at minimizing an expression containing Lyapunov drift. Based on the analysed similarity between QLA and Q-learning, we show the possibility and feasibility of Q-learning. Simulation of a simple queue network model is carried out, and results using both QLA and Q-learning are compared.
Detection method of robot grasp based on lightweight network

When the robot arm uses the suction cup to grasp the task, it is faced with an unstructured scene, and it is difficult to accurately calculate the grasping posture of the robot due to the irregular placement of the object and its irregular shape. To solve this problem, a grasping detection method of manipulator based on lightweight convolutional neural network was proposed. Firstly, the Mobile Net-YOLOV4 algorithm based on lightweight convolutional neural network was used to detect the target object in the image, and the classification and location information of the target were obtained. Then according to the final detection results of the image threshold segmentation, the anchor point is corrected, and finally the corrected positioning result is obtained. The grasping experiment was carried out on the Probot anno manipulator platform. The experimental results show that, compared with other image processing methods, the proposed method can realize fast detection and location of irregular target objects, and has better robustness for the diversity of object morphology and environment.
First-principles investigation of the electronic and thermoelectric properties of SiGe doped with Sn and one percent B

Silicon-Germanium (SiGe) has recently attracted much interest as a room temperature thermoelectric (TE) material for converting heat into electrical output power. With the advantage of silicon being non-toxic, cost-effective, and abundant on earth, a silicon base TE material has a promising future. A first-principle calculation based on the fully self-consistent Korringa-Kohn-Rostoker method with the coherent potential approximation (KKR-CPA) to treat several forms of chemical disorders of SiGe by Sn-doping was carried out. In SiGe1-xSnx, as the Sn content increases the Fermi level shifts to the conduction band edge. Similarly, in Si1-xSnxGe, a high Sn content (x = 0.4 to 0.9) results in the Fermi level shifting to the conduction band edge. On the contrary, a low amount of Sn content (x = 0.1 to 0.3) causes the Fermi level to fluctuate between the conduction band and the valence band states. With the addition of 1% Boron impurity to the alloys Si1-xSnxGe and SiGe1-xSnx, the number of carriers (electron and hole) states was enhanced by 0.05 states/eV. This makes the alloys Si0.3Sn0. 69B0.01Ge and SiGe0.4Sn0. 59B0.01 promising for application as n-type electrodes in a thermoelectric generator (TEG).
Mangosteen Peel-Derived Hydrochar Prepared via Hydrothermal Carbonization for Methylene Blue Removal

Hydrothermal carbonization (HTC) arises as an improved carbonization step developed to enhance the carbon porosity and reduce the production cost by thermally treating feedstock under milder operating conditions. This work aimed to generate hydrochar from mangosteen peel (MPHTC) via hydrothermal carbonization for the removal of methylene blue from aqueous solution. In the study, hydrochar was synthesized at an optimized carbonization temperature (200 °C) with a production yield of 82.75% and a methylene blue removal of 75.93%. The adsorption capacity of adsorbent enhanced with the increasing initial dye concentration due to high driving force for efficient mass transfer. The hydrochar was capable of attaining its maximum adsorption capacity at 131.58 mg/g. The derived hydrochar performed a higher uptake of dye molecules under basic conditions rather than acidic conditions owing to the presence of OH group for the attachment of cationic dye. It was determined that Freundlich isotherm and pseudo second order kinetic models best fitted the experimental data. External film diffusion was found to be the rate-controlling step for the batch adsorption process. The results revealed that MPHTC is a promising adsorbent for treatment of cationic dye for effluent wastewater.
Adaptive Control of Rigid Multi-Degree-of-Freedom Nonlinear Mechanical Plants

The paper considers the problems of control synthesis of a rigid multi-degree-of-freedom (multi-DOF) nonlinear mechanical plant under conditions of parametric and functional uncertainty. Developed and investigated adaptive robust control systems are synthesized on the basis of three approaches: based on the method of computed torque, the method of majorizing functions, and also the method of integrator backstepping with modified adaptation algorithms with parametric projection. The results of a comparative study by modeling the designed adaptive systems for the nonlinear mathematical model of a four-degree manipulation arm described by the Lagrange equations are shown.
The Design of Unmanned Retail DIY Beverage Machine

Intelligent technology has begun to replace humans with multiple scenes. This paper discusses a sort of intelligent device which is based On the integration of double cooperative robot arms, double capsule machine and other components, to achieve the design of personalized unmanned production and sales of 20 kinds of drinks. The device utilizes the cloud order system and unmanned retail technology to realize the de-artificial online and offline 24 hours uninterrupted multi-beverage customization service.
An unsupervised learning method for named entity relation extraction of space knowledge graph

Knowledge graph is a kind of typical artificial intelligence technology, which can improve cognitive ability of machines. Space is a booming domain for human beings. In this paper, space knowledge graph is proposed in order to improve intelligence of space information system. A major obstacle of space knowledge graph construction is to identify and extract core named entities and relations in space domain. An unsupervised learning method to extract core named entities and relations is proposed in this paper. Firstly, confidence level index used to measure importance of entities and conditional confidence level index used to measure credibility of relations between entities are defined and investigated. Then, an entity and relation extraction procedure based on maximum likelihood estimation and apriori algorithm is designed. Finally, a case study is carried out and influence of super parameter setting on the extraction result is discussed. The method proposed in this paper can be used to construct space knowledge graph at a lower cost compared to supervised method, and can be extended to other domain knowledge graph construction.
Some exact solutions of the heat conduction equation in parallelepiped obtained by the fast expansions method

An analytical solution to the boundary value problem for the Poisson equation in a parallelepiped was obtained in general form using the fast expansions method. The construction of exact solutions of the heat conduction equation for the cases of an internal source depending on coordinates was shown in the work. The study of the influence of the variability of the internal source on the propagation of heat in the body at the same initial temperatures at the parallelepiped vertices was carried out. In this case, the heat in the body will be transferred only in those directions in which the internal source is changed.