We have investigated the resonant coupling of photons with TO phonons in lead telluride in small-mode-volume terahertz cavities, observing a giant vacuum Rabi splitting on the order of the bare cavity-phonon frequency...
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Patient-specific left ventricle (LV) myocardial models have the potential to be used in a variety of clinical scenarios for improved diagnosis and treatment plans. Cine cardiac magnetic resonance (MR) imaging provides...
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This paper presents a novel solution technique for scheduling multi-energy system (MES) in a commercial urban building to perform price-based demand response and reduce energy costs. The MES scheduling problem is form...
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The Superconducting Materials and Systems (SQMS) Center, a DOE National Quantum Information Science Research Center, has conducted a comprehensive and coordinated study using superconducting transmon qubit chips with ...
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The Fractional Nonlinear Schrödinger Equation (FNLS) is an equation that is generally used to describe the interaction of boson particles in the trap potential. This paper discusses the stability of the stationar...
The Fractional Nonlinear Schrödinger Equation (FNLS) is an equation that is generally used to describe the interaction of boson particles in the trap potential. This paper discusses the stability of the stationary solution of the FNLS (2+1) dimensional equation using the Newton-Raphson method as a method for determining the stationary solution. The stability of the stationary solution of the FNLS is determined by analyzing the distribution of real-part and imaginary-part of eigenvalues listed on the complex plane. The results obtained in this study are found that the solution to the 1-dimensional FNLS is a stable system. This solution is obtained by analyzing the distribution of eigenvalues in the complex plane, where in the solution to the 1-dimensional FNLS there are only imaginary-part eigenvalues without any real-part eigenvalues. Unlike the case with the solution of the 2-dimensional FNLS equation, the eigenvalues obtained have a real-part of eigenvalues. These eigenvalues represent that the solution to the 2-dimensional FNLS equation is an unstable system. It is an indicator that the soliton which is the solution of the FNLS equation for the 2-dimensional case will be damaged for a certain time.
Most of the oil palm smallholders operate independently. As a result of this lack of support and assistance, oil palm owned by independent smallholders has the lowest productivity compared to large private (corporatio...
Most of the oil palm smallholders operate independently. As a result of this lack of support and assistance, oil palm owned by independent smallholders has the lowest productivity compared to large private (corporation) plantations and large state plantations. In addition, smallholder-owned plantations often operate without paying attention to sustainability aspects. There is a need for an effective, efficient, and user-friendly mentoring tool for oil palm farmers that are accessed independently. The Android-based platform was developed by applying an expert system to support increased production of oil palm cultivation for smallholders. Several stages of the expert system implementation, including the identification of planters and land profiles, were carried out using the direct interview method. The expert system includes land preparation management, planting material selection, seeding, weeds control, pests and diseases, fertilization, harvesting and transport, plantation administration, chat platforms, and data scrapping from data providers. The type of expert system is a data-driven Decision Support System (DSS).
This Research Full Paper presents a hybrid algorithm for the recommendation of Learning Objects (LO) aimed at students' learning profiles. In this sense, the Learning Styles-based Collaborative Topic Recommender (...
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ISBN:
(数字)9781728189611
ISBN:
(纸本)9781728189628
This Research Full Paper presents a hybrid algorithm for the recommendation of Learning Objects (LO) aimed at students' learning profiles. In this sense, the Learning Styles-based Collaborative Topic Recommender (LSBCTR) algorithm was developed based on the Collaborative Topic Regression (CTR) model, a hybrid recommendation algorithm that combines a method of Collaborative Filtering (CF) and probabilistic topic modeling. The Learning Style is incorporated into the CTR to predict LO classification. The proposed model controls which classifications are more effective in the students' learning process and which LO recommendations fit better to the student's learning profile. Experiments were carried out in a real-world dataset collected from a Virtual Learning Environment (VLE) that was based on the inventory proposed by Felder and Soloman.
The production gap between oil palm smallholder-owned plantations and corporations shows a real problem in the national palm oil industry. To reduce the gap, user-friendly assistance for smallholder-owned plantations ...
The production gap between oil palm smallholder-owned plantations and corporations shows a real problem in the national palm oil industry. To reduce the gap, user-friendly assistance for smallholder-owned plantations is needed for the cultivation of sustainable palm oil production. Android-based software can be a platform for bridging the transfer of knowledge and technology, transfer of problems, and transfer of solutions between planters and experts. The platform development was formulated in five stages which began with Learning Management System (LMS) application development, identification of Good Agricultural Practices (GAP) and Best Management Practices (BMP) materials, development of digital contents, uploading the digital content to the LMS server, and dissemination. The curriculum in the application platform was prepared based on the needs of the growers according to the identification results of the farmers' profiles. The curriculum consists of GAP and BMP material blocks. Each block was divided into discussion topics. The digital contents related to GAP and BMP were set in the LMS, which was built using Moodle platform.
Acoustic metalenses have been pursued over the past decades due to their pivotal role in a wide variety of applications. Recent research efforts have demonstrated that, at ultrasonic regimes, acoustic levitation can b...
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Acoustic metalenses have been pursued over the past decades due to their pivotal role in a wide variety of applications. Recent research efforts have demonstrated that, at ultrasonic regimes, acoustic levitation can be realized with standing waves, which are created by the interference between incoming and reflected focused waves. However, the conventional gradient-metasurface approach to focus ultrasonic waves is complex, leading to poor scalability. In this work, we propose a design principle for ultrasonic metalenses, based on metagratings—arrays of discrete scatters with coarser features than gradient metasurfaces. We achieve beam focusing by locally controlling the excitation of a single diffraction order with the use of metagratings, with geometry adiabatically varying over the lens aperture. We show that our metalens can effectively focus impinging ultrasonic waves to a focal point with a full width at half maximum of 0.364 of the wavelength. The focusing performance of the metalens is demonstrated experimentally, validating our proposed approach. This metagrating approach to focusing can be adopted for different operating frequencies by scaling the size of the structure, which has coarse features suitable for high-frequency designs, with potential applications ranging from biomedical science to nondestructive testing.
Systems composed of groups of Unmanned Aerial Vehicles (UAVs) are emerging as an extension of the usage of single UAVs in a number of applications. Besides of very desirable, the possibility of using multi-UAV systems...
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ISBN:
(数字)9781728142784
ISBN:
(纸本)9781728142791
Systems composed of groups of Unmanned Aerial Vehicles (UAVs) are emerging as an extension of the usage of single UAVs in a number of applications. Besides of very desirable, the possibility of using multi-UAV systems requires that each UAV in the group has information about the locations of the others, so that the system as a whole can work smoothly, i.e. keeping configured flight formation, without collisions, evenly distributing the tasks, and even authenticating one another so that no malicious node access the group. To support such multi-UAV systems setup, this work reports the proposal of a multipurpose localization service to disseminate positioning information of the UAVs to the group as well as to estimate the positions that are not received due to communication errors. The proposal consists in a complete methodology to setup, test and perform multi-UAV missions, which are firstly planned, setup and tested in a simulated environment, and then performed in the real-world. Design and implementation details of the proposed infrastructure service are presented, along with a complete validation of the proposal, from simulation to the field experiments. The acquired results provide evidence that the proposed service and methodology are efficient to support fleet of UAVs performing cooperative missions.
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