scholarly journals BIM Technology Based on the Cost of Landscape Engineering

2022 ◽  
Vol 2146 (1) ◽  
pp. 012033
Author(s):  
Zheng Wang ◽  
Cheng Ma

Abstract With the development of science and technology, the number of robots manufactured is increasing day by day. Exploration into uncharted territory also arises, which poses great challenges for contemporary robot creation. Ordinary robots are not yet able to give people much of the help they need. In this paper, the dynamic direction of the robot through multiple linear reinforcement learning and the robot based on this reinforcement learning will help people to solve the problems in work will be discussed from the current situation, future trend and many different perspectives of the development of robots in China. Secondly, also put forward the need to prevent hidden trouble both solutions.

2018 ◽  
Vol 232 ◽  
pp. 04002
Author(s):  
Fang Dong ◽  
Ou Li ◽  
Min Tong

With the rapid development and wide use of MANET, the quality of service for various businesses is much higher than before. Aiming at the adaptive routing control with multiple parameters for universal scenes, we propose an intelligent routing control algorithm for MANET based on reinforcement learning, which can constantly optimize the node selection strategy through the interaction with the environment and converge to the optimal transmission paths gradually. There is no need to update the network state frequently, which can save the cost of routing maintenance while improving the transmission performance. Simulation results show that, compared with other algorithms, the proposed approach can choose appropriate paths under constraint conditions, and can obtain better optimization objective.


2013 ◽  
Vol 13 (2) ◽  
Author(s):  
Mashuri Mashuri

Dayah (Islamic boarding school) is the oldest institution in Aceh. It has a positive contribution toward citizen’s capacity building of Aceh, especially in the context of internalizing the Islamic teaching that acts as a social control in Aceh community. Formerly, the form of education in dayah still follow a traditional system, yet, along with the massive development of science and technology, it has adapted with the current situation without ignoring the old system. Many changes occur either in its physic and non-physic form.


Author(s):  
Bayram Akay

Tourism is a fragmented and information-oriented sector covering tour operators, travel agencies, hotel sales representatives, associations, meeting offices, transportation, car rental, airlines, cruise, souvenirs, restaurants, hotels/motels, and entertainment. The car rental sector, which is an important part of the tourism sector, is growing day by day, and the number of customers is increasing rapidly. The success of the car rental sector, which produces support services within the growing tourism sector, is considered very important for the development of tourism. The COVID-19 pandemic has engulfed the globe and has already had an enormous impact on life as we once knew it. With airplanes grounded, millions of people in quarantine, and hundreds of travel bans in place, COVID-19 has brought the global tourism industry to a grinding halt along with the rental industry. The study determines the current situation of the car rental sector and presents some suggestions.


Author(s):  
Hossein Esfandiari ◽  
MohammadTaghi HajiAghayi ◽  
Brendan Lucier ◽  
Michael Mitzenmacher

We consider online variations of the Pandora’s box problem (Weitzman 1979), a standard model for understanding issues related to the cost of acquiring information for decision-making. Our problem generalizes both the classic Pandora’s box problem and the prophet inequality framework. Boxes are presented online, each with a random value and cost drawn jointly from some known distribution. Pandora chooses online whether to open each box given its cost, and then chooses irrevocably whether to keep the revealed prize or pass on it. We aim for approximation algorithms against adversaries that can choose the largest prize over any opened box, and use optimal offline policies to decide which boxes to open (without knowledge of the value inside)1. We consider variations where Pandora can collect multiple prizes subject to feasibility constraints, such as cardinality, matroid, or knapsack constraints. We also consider variations related to classic multi-armed bandit problems from reinforcement learning. Our results use a reduction-based framework where we separate the issues of the cost of acquiring information from the online decision process of which prizes to keep. Our work shows that in many scenarios, Pandora can achieve a good approximation to the best possible performance.


2020 ◽  
Vol 145 ◽  
pp. 02011
Author(s):  
Siyuan Tang ◽  
Yiqin Li ◽  
Nannan Liu ◽  
Haibo Li

Firstly, this paper defines the definition and attribute of shore power service charge, and combs the current situation of shore power service charge and electricity charge in China. At the same time, the paper analyses the cost of shore power service, electricity charge of the power supply department and the cost of ship's using fuel oil for self-generation, and makes a comprehensive comparison between the cost of ship's using shore power and the cost of ship's self-generation. Finally, according to the principle of ensuring that the cost of using shore power (shore power service charge plus electricity charge) is lower than the cost of self-generation for ships, the paper puts forward suggestions that the shore power service charge should be collected according to the power usage and the government should issue guidance prices.


2019 ◽  
Vol 6 (2) ◽  
pp. 33-55
Author(s):  
Brian J. Galli

As of now, the best means to plan for the future is project management because it has been proven effective in problem-solving and generating solutions. Few projects entail economic decision-making because of the cost factor, but the wrong decisions can be made because of the complications that come with making economic decisions. However, financial decision-making does not only entail gathering information and making decisions accordingly. The economy must be analyzed and the future economy must be estimated for any economic decisions to be viable. This study highlights the future trend, as well as the significance of economic decision-making within project management. Furthermore, it tests several factors: economic decision-making influence, creativity, risk profile, and the management team size for a successful project. Primarily, this study will assess how significant economic decision-making is in project management.


2018 ◽  
Vol 30 (10) ◽  
pp. 1422-1432 ◽  
Author(s):  
Anne G. E. Collins

Learning to make rewarding choices in response to stimuli depends on a slow but steady process, reinforcement learning, and a fast and flexible, but capacity-limited process, working memory. Using both systems in parallel, with their contributions weighted based on performance, should allow us to leverage the best of each system: rapid early learning, supplemented by long-term robust acquisition. However, this assumes that using one process does not interfere with the other. We use computational modeling to investigate the interactions between the two processes in a behavioral experiment and show that working memory interferes with reinforcement learning. Previous research showed that neural representations of reward prediction errors, a key marker of reinforcement learning, were blunted when working memory was used for learning. We thus predicted that arbitrating in favor of working memory to learn faster in simple problems would weaken the reinforcement learning process. We tested this by measuring performance in a delayed testing phase where the use of working memory was impossible, and thus participant choices depended on reinforcement learning. Counterintuitively, but confirming our predictions, we observed that associations learned most easily were retained worse than associations learned slower: Using working memory to learn quickly came at the cost of long-term retention. Computational modeling confirmed that this could only be accounted for by working memory interference in reinforcement learning computations. These results further our understanding of how multiple systems contribute in parallel to human learning and may have important applications for education and computational psychiatry.


2013 ◽  
Vol 416-417 ◽  
pp. 2102-2104
Author(s):  
Hong Juan Peng

Resonance transformer design is a large-scale and complicated management process. With the improvement of science and technology in China, and the application of modern professional, factory, mechanical and information means provides sufficient science and technology basis for the transformer design level. Grounded in the environment of electronic linear accelerator, this thesis could change the current situation of imperfect transformer management. This thesis elaborates the background and significance of electronic linear accelerator in resonance transformer design, proposes the purpose and main content mode of resonance transformer design, gives a detailed introduction of the frame and functions of all modules of PSCAD simulation experiment, and finally makes relevant discussions of the application of resonance transformer.


2014 ◽  
Vol 556-562 ◽  
pp. 6624-6626
Author(s):  
Xian De Liu ◽  
Xiao Ming Liu ◽  
Xiu Qin Wu

In this paper, concerning the current situation of electronic and information–oriented specialty, and combining the construction experiences of electronic information science and technology specialty construction in Northeast Petroleum University, we have summarized the curriculum system of innovative talents cultivation. And aiming at cultivating innovation ability of the students, we have proposed implementation scheme of practical teaching and a series of measures to guarantee the training quality of the students. Putting-forward of the problems


Sign in / Sign up

Export Citation Format

Share Document