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Institution

Xuzhou Institute of Technology

EducationXuzhou, China
About: Xuzhou Institute of Technology is a education organization based out in Xuzhou, China. It is known for research contribution in the topics: Catalysis & Computer science. The organization has 1696 authors who have published 1521 publications receiving 13541 citations.


Papers
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Journal ArticleDOI
TL;DR: In this paper, the performance characteristics of the steels for high-rise building were introduced and its development trend was pointed out and its performance characteristics were compared with those of general structural steels.
Abstract: With the development of high-rise buildings, the requirement to the performance of steels for high-rise buildings keeps on increasing. Besides high strength and high toughness possessed by general structural steels, the steels for high-rise buildings should possess low yield ratio, excellent welding performance, fire-resistant performance and Z-direction performance. These performance characteristics of the steels for high-rise building were introduced and its development trend was pointed out.

2 citations

Journal ArticleDOI
01 Jul 2018
TL;DR: In this article, the rheological properties of castor oil have been investigated and compared with those of other industrial oils, such as gasoline, soap, and soap bubbles, and they have been used as base oil and additives in industrial applications.
Abstract: Castor oil is one of the most enormous potential environment-friendly lubricants, and used as the base oil and additives in industrial applications. In this paper, the rheological property of casto...

2 citations

Journal ArticleDOI
TL;DR: The title compound, C30H32FNO2, was synthesized by the reaction of dimedone with 4-fluorobenzaldehyde and p-toluidine in water to form dihydropyridine and both of the cyclohexenone rings are not planar and have flattened boat conformations.
Abstract: The title compound, C30H32FNO2, was synthesized by the reaction of dimedone with 4-fluoro­benzaldehyde and p-toluidine in water. The dihydro­pyridine and both of the cyclo­hexenone rings are not planar and have flattened boat conformations. The dihedral angle between the planar aromatic rings is 15.33 (3)°. In the crystal structure, inter­molecular C—H⋯O hydrogen bonds link the mol­ecules into centrosymmetric dimers.

2 citations

Proceedings ArticleDOI
01 Nov 2019
TL;DR: The proposed algorithm records the RTT in the basic communication process, calculates the distance relationship and connectivity between the nodes to determine the relative localization of nodes, and shows that the algorithm based on RTT is more stable than the algorithm using RSSI, and the probability of misjudgment is smaller.
Abstract: The one-dimensional wireless sensor networks (1-D WSNs) are widely used in linear topology area. It is common that most nodes of 1-D WSN are partitioned in a regular way. Determining relative localization of 1-D WSN can give us an accurate position of nodes. The algorithm for determining the relative position of a 1-D WSN mostly adopts a Received Signal Strength Indication (RSSI), which has the disadvantage that the uncertainty of the antenna position and random attenuation of signal will affect the performance of the sorting result. This paper proposes an algorithm based on round-trip time (RTT) to determine the relative position between nodes of a 1-D WSN. The proposed algorithm records the RTT in the basic communication process, calculates the distance relationship and connectivity between the nodes to determine the relative localization of nodes. The experimental results show that the algorithm based on RTT to determine the relative localization is more stable than the algorithm using RSSI, and the probability of misjudgment is smaller.

2 citations


Authors

Showing all 1711 results

NameH-indexPapersCitations
Peng Wang108167254529
Qiong Wu5131612933
Wenping Cao341764093
Bin Hu302133121
Syed Abdul Rehman Khan291312733
Jingui Duan29933807
Vivian C.H. Wu251052566
Lei Chen16991062
Chao Wang1674741
Wenbin Gong1627953
Jing Li16401025
Chao Liu1543737
Qinglin Wang1472595
Yaocheng Zhang1454566
Chao Wang1325774
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20237
202228
2021328
2020181
2019121
201873