A simple polytope
is said to be
if its combinatorial structure is characterized by its Tor-algebra, and is said to be
if its combinatorial structure is characterized by the cohomology ring of a ...quasitoric manifold over
. It is known that a B-rigid simple polytope is C-rigid. In this paper, we show that the B-rigidity is not equivalent to the C-rigidity.
3D printing technology is attracting considerable attention as it can be used to produce complex‐shaped structures quickly. Recently, in addition to the production of simple‐shaped parts, the ...manufacturing of embedded products with conductive patterns using 3D printing has increased. However, previous studies have limitations on conductivity, stability, and process complexity. Therefore, in this paper, a novel manufacturing process is proposed. It uses the same laser energy source of photo‐polymerization technology, which is a general 3D printing technology, to create a circuit pattern with high conductivity immediately after the structure is printed. This concept is based on two technologies: a laser direct structuring process and metal photo‐polymerization. Moreover, with this technique, it is possible to produce structures and conductive patterns using a single laser‐based machine. Therefore, alignment tolerance can be ignored during production. After additional metal deposition, the structure can achieve stable and high conductivity. The pattern produced by this novel manufacturing process has a resistance of 0.5 Ω cm–1, and the feasibility of the circuit is illustrated with a light‐emitting diode demonstration. This method is expected to be helpful for both shape production and the development of products that perform electrical functions.
Fabrication method of conductive patterns on 3D printed structure using photo‐polymerization technology is proposed using a single energy source. Based on photo‐polymerization technology and the laser direct structuring process, the system is set to fabricate a proper conductive circuit pattern. The fabricated sample exhibits a resistance of 0.5 Ω cm–1.
Strong cohomological rigidity of toric varieties Choi, Suyoung; Park, Seonjeong
Proceedings of the Royal Society of Edinburgh. Section A. Mathematics,
10/2017, Letnik:
147, Številka:
5
Journal Article
Recenzirano
Every cohomology ring isomorphism between two non-singular complete toric varieties (respectively, two quasitoric manifolds), with second Betti number 2, is realizable by a diffeomorphism ...(respectively, homeomorphism).
Convolutional Neural Networks (CNNs) are inherently costly to calculate and require large amount of memory to store the output feature map as input to following layers. In this thesis, we propose a ...method we call "Output Gating" that cuts down the number of MAC operations by dynamically pruning the output feature map of a CNN layer. The output feature map of a CNN layer is partitioned along the channel dimension into non-pruned ("Base Output") and pruned ("Conditional Output") parts. The non-pruned section is calculated first, and pruning metrics for each spatial location are calculated using the already-calculated non-pruned part. By doing so, it is able to skip both the calculation and storage of the pruned values. Also, the sparsity pattern is structured and forms continuous patches of fixed size at predictable locations in memory, potentially allowing for easier implementation in software for GPGPUs and in hardware for specialized CNN accelerators. After training ResNet-18 model on ImageNet 2012 dataset, we have determined that Output Gating yields 1.73x FLOP savings with less than 2% accuracy drop.
Non-reactive phosphorus (nRP) contains condensed phosphates and organic phosphorus (OP) species that are recalcitrant in secondary wastewater treatment and tend to remain in final effluents. To meet ...ultra-low effluent P discharge limits, persistent nRP must be removed. The objective of this study was to evaluate the use of an advanced oxidation process (AOP) which couples TiO2/UV photolysis with ultrafiltration to oxidize and remove nRP species. Initial tests utilized OP model compounds, adenosine triphosphate (ATP) and aminoethylphosphonate (AEP), in a binary mixture to evaluate AOP treatment and to elucidate possible mechanisms of phosphorus removal. The results were consistent with a model of preferential ATP binding to the TiO2 surface compared to AEP. On UV light exposure, AEP was removed from solution due to the photooxidation of ATP freeing up binding sites for AEP adsorption and subsequent oxidation. Orthophosphate released during AOP treatment was retained on the TiO2 solids. The AOP was applied to three municipal wastewaters and one automotive industry effluent for P removal. In all cases, phosphorus removal was found to occur through filtration, surface complexation and UV oxidation. Total phosphorus removal efficiencies between 90 and 97% were observed for the municipal wastewater effluents and 44% removal was observed in the industrial effluent after treatment using AOP.
Display omitted
•Organic phosphorus is removed via ultrafiltration coupled with photocatalysis.•Efficiency of photocatalysis is dependent on type of organic phosphorus present.•Removal in real waste water was due to filtration, adsorption and photocatalysis.•Orthophosphate is released with oxidation of organic phosphorus.
This study examined the effect of a combined program of exercise training and self-management education on risk factors for diabetes complications and adherence behavior. A two-group, ...quasi-experimental study design was used to test the 12-week intervention program with community-dwelling older adults in Korea. Change scores (from baseline to Week 13) of outcome variables were compared between the intervention group (This study examined the effect of a combined program of exercise training and self-management education on risk factors for diabetes complications and adherence behavior. A two-group, quasi-experimental study design was used to test the 12-week intervention program with community-dwelling older adults in Korea. Change scores (from baseline to Week 13) of outcome variables were compared between the intervention group (
n
= 21) and the control group (
n
= 16). The change scores in triglyceride levels, body weight, body mass index, and diabetes self-management behavior showed significant differences between groups. However, no significant differences were found in A1C and blood pressure change scores between the groups in this sample, in which these characteristics were relatively well controlled at baseline. The results of this study showed some promising synergistic effects of lowering cardiovascular risk factors from combining the two interventions.
This paper presents a high-speed counter architecture associated with novel LFSR state extension. By employing the proposed state extension, an m -bit LFSR counter with <inline-formula><tex-math ...notation="LaTeX">(\mathrm{2}^{m}-1)</tex-math> <mml:math><mml:mrow><mml:mo>(</mml:mo><mml:msup><mml:mn>2</mml:mn><mml:mi>m</mml:mi></mml:msup><mml:mo>-</mml:mo><mml:mn>1</mml:mn><mml:mo>)</mml:mo></mml:mrow></mml:math><inline-graphic xlink:href="park-ieq1-3187343.gif"/> </inline-formula> states is modified to cover <inline-formula><tex-math notation="LaTeX">\mathrm{2}^{m}</tex-math> <mml:math><mml:msup><mml:mn>2</mml:mn><mml:mi>m</mml:mi></mml:msup></mml:math><inline-graphic xlink:href="park-ieq2-3187343.gif"/> </inline-formula> states without degrading the counting rate. Based on the property that only the low-order bits are frequently switched, the proposed counter consists of two sub-counters to achieve a high counting rate and reduce the hardware complexity needed to convert an LFSR state into a binary state. The low-order sub-counter is implemented with the proposed LFSR counter, and the high-order sub-counter is designed by employing the conventional synchronous binary counter. In addition, the implemented counter takes into account the speed degradation caused by the large fan-out of the high-order sub-counter. The proposed counter designed with standard cells operates at 2.08 GHz in a 65 nm CMOS technology, and its counting rate is almost independent of the counter size.
We propose a learning-based system for enabling quadrupedal robots to manipulate large, heavy objects using their whole body. Our system is based on a hierarchical control strategy that uses the deep ...latent variable embedding which captures manipulation-relevant information from interactions, proprioception, and action history, allowing the robot to implicitly understand object properties. We evaluate our framework in both simulation and real-world scenarios. In the simulation, it achieves a success rate of 93.6<inline-formula><tex-math notation="LaTeX">\%</tex-math></inline-formula> in accurately re-positioning and re-orienting various objects within a tolerance of 0.03 <inline-formula><tex-math notation="LaTeX">\text{m}</tex-math></inline-formula> and 5<inline-formula><tex-math notation="LaTeX">^\circ</tex-math></inline-formula>. Real-world experiments demonstrate the successful manipulation of objects such as a 19.2 <inline-formula><tex-math notation="LaTeX">\text{kg}</tex-math></inline-formula> water-filled drum and a 15.3 <inline-formula><tex-math notation="LaTeX">\text{kg}</tex-math></inline-formula> plastic box filled with heavy objects while the robot weighs 27 <inline-formula><tex-math notation="LaTeX">\text{kg}</tex-math></inline-formula>. Unlike previous works that focus on manipulating small and light objects using prehensile manipulation, our framework illustrates the possibility of using quadrupeds for manipulating large and heavy objects that are ungraspable with the robot's entire body. Our method does not require explicit object modeling and offers significant computational efficiency compared to optimization-based methods.
PDF
