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Yu Zhu and Haixing Zhao
There are lots of situations that cannot be described by traditional networks but can be described perfectly by the hypernetwork in the real world. Different from the traditional network, the hypernetwork structure is more complex and poses a great chall...
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Marcelo Tomio Matsuoka, Vinicius Francisco Rofatto, Ivandro Klein, Maurício Roberto Veronez, Luiz Gonzaga da Silveira, Jr., João Batista Silva Neto and Ana Cristina Ramos Alves
A set of stable and identifiable points?known as control points?are interconnected by direction, distance or height differences measurements form a geodetic network. Geodetic networks are used in various branches of modern science, such as monitoring the...
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Tapan Biswas
Pág. 77 - 88
The paper introduces a concept of ?efficiency set" in the context of group decisions and analyses its properties. If the set contains a single element, then the Borda rule finds it. Otherwise, the group needs a value function to choose from the efficient...
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Xiangyu Kong, Yuting Wang, Xiaoxiao Yuan and Li Yu
A phasor measurement unit (PMU) can provide phasor measurements to the distribution network to improve observability. Based on pre-configuration and existing measurements, a network compression method is proposed to reduce PMU candidate locations. Taking...
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Alexander Shknevsky, Yuval Shahar and Robert Moskovitch
We propose a new pruning constraint when mining frequent temporal patterns to be used as classification and prediction features, the Semantic Adjacency Criterion [SAC], which filters out temporal patterns that contain potentially semantically contradicto...
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Jia Ren, Jing Zhang and Yani Cui
Focusing on the collision avoidance problem for Unmanned Surface Vehicles (USVs) in the scenario of multi-vessel encounters, a USV autonomous obstacle avoidance algorithm based on the improved velocity obstacle method is proposed. The algorithm is compos...
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Kiyoharu Tagawa
In this paper, a new approach to solve Chance Constrained Problems (CCPs) using huge data sets is proposed. Specifically, instead of the conventional mathematical model, a huge data set is used to formulate CCP. This is because such a large data set is a...
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Fu Zhang, Zijun Chen, Yafei Wang, Ruofei Bao, Xingguang Chen, Sanling Fu, Mimi Tian and Yakun Zhang
The rapid, stable, and undamaged picking of small-sized spherical fruits are one of the key technologies to improve the level of intelligent picking robots and reduce grading operations. Cherry tomatoes were selected as the research object in this work. ...
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Shuning Liang, Bo Xiao, Chunyang Wang, Lin Wang and Zishuo Wang
This paper presents an optimization method that aims to mitigate disturbances in the radial-feed system of the ring-pendulum double-sided polisher (RDP) during processing. We built a radial-feed system model of an RDP and developed a single-tube robust m...
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Nam Eung Hwang, Hyung Jun Kim and Jae Gwan Kim
In this paper, we propose a centralized task allocation and an alignment technique based on constraint table and alignment rules. For task allocation, a scoring scheme has to be set. The existing time-discounted scoring scheme has two problems; if the sc...
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Wenhao Pan, Yi Zhu, Chuanhao Zhao and Jingzhong Tong
Optimal design of the crossbeam is essential for the economical design of bridge towers as the crossbeam could considerably enhance the lateral stiffnesses of these towers by providing a special bracing for the tower columns. By using a reliability-based...
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Shumpei Kamo, Judith Rosenow, Hartmut Fricke and Manuel Soler
Aircraft trajectory planning is affected by various uncertainties. Among them, those in weather prediction have a large impact on the aircraft dynamics. Trajectory planning that assumes a deterministic weather scenario can cause significant performance d...
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Huibin Zhang, Mingwei Wang, Zhiang Li, Jingtao Zhou, Kexin Zhang, Xin Ma and Manxian Wang
An aero engine fan rotor is composed of a multi-stage disk and multi-stage blades. Excessive unbalance of the aero engine fan rotor after assembly is the main cause of aero engine vibration. In the rotor assembly process, blade sequencing optimization an...
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Masaaki Nagahara, Yu Iwai and Noboru Sebe
In this paper, we propose an efficient numerical computation method of reduced-order controller design for linear time-invariant systems. The design problem is described by linear matrix inequalities (LMIs) with a rank constraint on a structured matrix, ...
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Maximilian Schreieck, Hazem Safetli, Sajjad Ali Siddiqui, Christoph Pflügler, ... Helmut Krcmar
Pág. 272 - 285
Ridesharing is an important component of sustainable urban transportation as it increases vehicle utilization while reducing road utilization. By sharing rides, drivers offer free seats in their vehicles to passengers who want to travel in similar direct...
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Stephen Tangwe, Michael Simon, Edson L. Meyer, Sampson Mwampheli, Golden makaka
In South Africa, there is an ongoing constraint on the electricity supply at the national grid to meet the demand. Eskom is implementing various measures such as the Integrated Demand Management and the promotion and encouragement of the use of energy ef...
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Corné van Dooren, Marcelo Tyszler, Gerard F. H. Kramer and Harry Aiking
Background: This study aims to find diets with low price and low climate impact, yet fulfilling all nutritional requirements. Methods: Optimization by linear programming. The program constrains 33 nutrients to fulfill Dutch dietary requirements. In a se...
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Peter Berg, Thomas Bosshard and Wei Yang
Lack of suitable observational data makes bias correction of high space and time resolution regional climate models (RCM) problematic. We present a method to construct pseudo-observational precipitation data by merging a large scale constrained RCM reana...
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Shiyuan Zhu, Yuwei Zhao and Shihong Yue
Given a set of data objects, the fuzzy c-means (FCM) partitional clustering algorithm is favored due to easy implementation, rapid response, and feasible optimization. However, FCM fails to reflect either the importance degree of the individual data obje...
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Mazen A. Al-Sinan, Abdulaziz A. Bubshait and Zainab Aljaroudi
Recent advancements in machine learning (ML) applications have set the stage for the development of autonomous construction project scheduling systems. This study presents a blueprint to demonstrate how construction project schedules can be generated aut...
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