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A beam search approach based on action space for the 2D rectangular packing problem 1

9th International Symposium on Intelligence Computation and Applications, ISICA 2017

作者： Yin, Aihua Wang, Lei Hu, Dongping Rao, Hao Deng, Song School of Software and Internet of Things Engineering Jiangxi University of Finance and Economics NanchangJiangxi330023 China College of Computer Science and Technology Wuhan University of Science and Technology WuhanHubei430081 China Hubei Province Key Laboratory of Intelligent Information Processing and Real-Time Industrial System WuhanHubei430081 China

ISBN: (数字)9789811316517

ISBN: (纸本)9789811316500

A beam search algorithm is presented to solve the 2D rectangular packing problem. The basic algorithms work according to 7 rule vectors of heuristic selection rules designed to select a corner-sticking action. Furthermore, the trade-off scheme of breadth first search (BFS) and the depth first search (DFS) increases the algorithm’s effectiveness and efficiency. The improved version of the algorithm adopts a rough phase to get a height for the stripe and a refine phase to obtain better solution for the problem. Computational experiments run on two sets of well-known benchmark instances and the computational results show that the algorithm outperforms the current best algorithms. Especially, for two benchmark instances ZDF6 and ZDF7, our algorithm finds the best packing configurations so far. © 2018, Springer Nature Singapore Pte Ltd.

关键词： Benchmarking

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Optimizing Information Freshness in Computing enabled IoT Networks

arXiv

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arXiv 2019年

作者： Xu, Chao Yang, Howard H. Wang, Xijun Quek, Tony Q.S. School of Information Engineering Northwest A&F University YanglingShaanxi China Key Laboratory of Agricultural Internet of Things Ministry of Agriculture and Rural Affairs YanglingShaanxi China Shaanxi Key Laboratory of Agricultural Information Perception and Intelligent Service YanglingShaanxi China Information System Technology and Design Pillar Singapore University of Technology and Design Singapore487372 Singapore School of Electronics and Communication Engineering Sun Yat-sen University Guangzhou China Key Laboratory of Wireless Sensor Network & Communication Shanghai Institute of Microsystem and Information Technology Chinese Academy of Sciences 865 Changning Road Shanghai200050 China

internet of things (IoT) has emerged as one of the key features of the next generation wireless networks, where timely delivery of status update packets is essential for many real-time IoT applications. To provide users with context-aware services and lighten the transmission burden, the raw data usually needs to be preprocessed before being transmitted to the destination. However, the effect of computing on the overall information freshness is not well understood. In this work, we first develop an analytical framework to investigate the information freshness, in terms of peak age of information (PAoI), of a computing enabled IoT system with multiple sensors. Specifically, we model the procedure of computing and transmission as a tandem queue, and derive the analytical expressions of the average PAoI for different sensors. Based on the theoretical results, we formulate a min-max optimization problem to minimize the maximum average PAoI of different sensors. We further design a derivative-free algorithm to find the optimal updating frequency, with which the complexity for checking the convexity of the formulated problem or obtaining the derivatives of the object function can be largely reduced. The accuracy of our analysis and effectiveness of the proposed algorithm are verified with extensive simulation results. Copyright © 2019, The Authors. All rights reserved.

关键词： internet of things

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Intelligent Crop Planting Management and Quality Traceability system

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IOP Conference Series: Materials Science and engineering 2019年第4期490卷

作者： Xiaofen Yang Ming Sun College of Information and Electrical Engineering China Agricultural University Key Laboratory of Modern Precision Agriculture System Integration Research Ministry of Education Key Laboratory of Agricultural Information Acquisition Technology Ministry of Agriculture Beijing Engineering and Technology Research Centre for Internet of Things in Agriculture Beijing 100083 China

Aiming at the farmland management problems, soil heavy metal pollutions problems and the agricultural product quality security problems, the system develops a link planting, acquisition, processing, logistics and distribution each link of intelligent crop planting management and achieves quality tracing based centralized service data gateway. This system extracts the information in real time from crop planting to agricultural product sales. It is conducive to the implementation of scientific planting and the sustainable development of agriculture, and it enables consumers to trace the quality of agricultural products. The main work of this research is as follow. The first is the construction of crop planting information management subsystem. It contains the information about field information, seeding, fertilizing, irrigation, weeding, pest controlling, spraying insecticide and harvest. The second is the construction of crop planting environmental monitoring subsystem based on sensor technology. It contains real-time environmental information in the process of crop growth, such as soil temperature and humidity, air temperatures and humidity, light intensity and video information, and it realizes remote monitoring of crops. The third is agricultural product quality traceability subsystem oriented to consumers.

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A Survey on Deep Learning in Crop Planting

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IOP Conference Series: Materials Science and engineering 2019年第6期490卷

In recent years, with the explosive growth of data, deep learning has become one of the hottest research areas in artificial intelligence. Deep learning has been widely used in many fields such as medical field, industry, transportation system, agriculture is no exception. Crop planting is a vital part of agriculture. Here, we review deep learning applications in crop planting. In addition, we discuss the challenges and future trend of deep learning in crop planting. We hope that this review could promote more researchers to apply deep learning methods in crop planting field.

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Computing Simulation of Interactions Between α + β Protein and Janus Nanoparticle 18th

Computing Simulation of Interactions Between α + β Protein...

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18th International Conference on Computational Science, ICCS 2018

作者： Guo, Xinlu Zhao, Xiaofeng Fang, Shuguang Bian, Yunqiang Kang, Wenbin Jiangsu Research and Development Center of Application Engineering Technology of Wireless Sensor System and School of Internet of Things Wuxi Vocational Institute of Commerce Wuxi214153 China Taihu University of Wuxi Wuxi214000 China Shandong Provincial Key Laboratory of Biophysics Institute of Biophysics Dezhou University Dezhou253023 China Bio-X Research Center and Department of Mathmatics and Physics Hubei University of Medicine Shiyan442000 China

ISBN: (纸本)9783319937120

Janus nanoparticles have surfaces with two or more distinct physical properties, allowing different types of chemical properties to occur on the same particle and thus making possible many unique applications. It is necessary to investigate the interaction between proteins and Janus nanoparticles (NPs), which are two typical building blocks for making bio-nano-objects. Here we computed the phase diagrams for an α + β protein(GB1) and Janus NP using coarse-grained model and molecular dynamics simulations, and studied how the secondary structures of proteins, the binding interface and kinetics are affected by the nearby NP. Two phases were identified for the system. In the folded phase, the formation of β-sheets are always enhanced by the presence of NPs, while the formation of α-helices are not sensitive to NPs. The underlying mechanism of the phenomenon was attributed to the geometry and flexibility of the β-sheets. The knowledge gained in this study is useful for understanding the interactions between proteins and Janus NP which may facilitate designing new bio-nanomaterials or devices. © 2018, Springer International Publishing AG, part of Springer Nature.

关键词： Nanoparticles

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Preliminary study on the prediction of soil available potassium using an ISE sensor array

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International Agricultural engineering Journal 2016年第3期25卷 9-19页

作者： Zhang, Yajing Zhang, Miao Zhang, Linan Han, Mingming Chinese Academy of Agriculture Mechanization Sciences Beijing100083 China Key Laboratory on Modern Precision Agriculture System Integration Research Ministry of Education China Agricultural University Beijing100083 China Key Laboratory of Technology Integration and Application in Agricultural Internet of Things Ministry of Agriculture China

The extension of potassium Ion-selective electrode (ISE) was limited in saline-alkali soil analysis because of the intensive interference by the exchangeable sodium. To overcome this disadvantage, a sensor array system of two self-designed solid-state potassium ISEs and a commercial sodium ISE was investigated in the detection of soil available potassium. Three different modeling methods, including the classical Nernstian, two artificial neural network algorithms of the BP-ANN and the RBF-ANN, were employed to establish the prediction models for potassium concentration. The experimental results showed that two optimized ANN models produced the better performance than the classical Nernstian models with the R2 of 0.99, the RPD of lager than 25, and the mean absolute error of less than 6.0 mg/L in the validation of standard solutions and the tests of real soil samples, respectively. In conclusion, the sensor array could provide a possible approach for the prediction of the potassium available in saline-alkali soils.

关键词： Neural networks

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A location prediction based data gathering protocol for wireless sensor networks using a mobile sink 13

A location prediction based data gathering protocol for wire...

引用

13th International Conference on Ad-hoc Networks and Wireless, ADHOC-NOW 2014 accompanied by 2nd International Workshop on Emerging Technologies for Smart Devices, ETSD 2014, 2nd International Workshop on Marine Sensors and systems, MARSS 2014, Multimedia Wireless ad hoc Networks, MWaoN 2014, Security in Ad Hoc Networks, SecAN 2014, 2nd Smart Sensor Protocols and Algorithms, SSPA 2014 and 8th International Workshop on Wireless Sensor, Actuator and Robot Networks, WiSARN 2014

作者： Zhu, Chuan Wang, Yao Han, Guangjie Rodrigues, Joel J.P.C Guo, Hui College of Internet of Things Engineering Hohai University Changzhou China Guangdong University of Petrochemical Technology Maoming China Changzhou Key Laboratory of Photovoltaic System Integration and Production Equipment Technology Changzhou China Instituto de Telecomunicações University of Beira Interior Covilha Portugal

ISBN: (纸本)9783662463376

Traditional data gathering protocols in wireless sensor networks are mainly based on static sink, and data are routed in a multi-hop manner towards sink. In this paper, we proposed a location predictable data gathering protocol with a mobile sink. A sink’s location prediction principle based on loose time synchronization is introduced. By calculating the mobile sink location information, every source node in the network is able to route data packets timely to the mobile sink through multi-hop relay. This study also suggests a dwelling time dynamic adjustment method, which takes the situation that different areas may generate different amount of data into account, resulting in a balanced energy consumption among nodes. Simulation results show that our data gathering protocol enables data routing with less data transmitting time delay and balance energy consumption among nodes. © Springer-Verlag Berlin Heidelberg 2015.

关键词： Energy utilization

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Nanofabrication: Programmable Bidirectional Folding of Metallic Thin Films for 3D Chiral Optical Antennas (Adv. Mater. 19/2017)

引用

Advanced Materials 2017年第19期29卷

作者： Yifei Mao Yun Zheng Can Li Lin Guo Yini Pan Rui Zhu Jun Xu Weihua Zhang Wengang Wu National Key Laboratory of Science and Technology on Micro/Nano Fabrication Institute of Microelectronics Peking University Beijing 100871 P. R. China College of Engineering and Applied Sciences National Laboratory of Solid State Microstructures and Collaborative Innovation Center of Advanced Microstructures Nanjing University Nanjing Jiangsu 210093 P. R. China Key Laboratory of Broadband Wireless Communication and Sensor Network Technology of Ministry of Education College of Internet of Things Nanjing University of Posts and Telecommunications Nanjing Jiangsu 210096 P. R. China Electron Microscopy Laboratory Peking University Beijing 100871 P. R. China Innovation Center for MicroNanoelectronics and Integrated System Beijing 100871 P. R. China

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Quick and Automatic Generation Method for the Evaluation Report of the Small Hydropower Substitute Fuel Project

Quick and Automatic Generation Method for the Evaluation Rep...

引用

The 9th International Conference on Computer and Computing Technologies in Agriculture (CCTA 2015)

作者： Yingyi Chen Jiani Xue Huihui Yu Jing Xu Zhumi Zhen Xingyue Tu Zhijie Ma Yun Zhao Yanzhong Liu College of Information and Electrical Engineering China Agricultural University Key Laboratory of Agricultural Information Acquisition Technology Ministry of Agriculture Beijing Engineering and Technology Research Center of Internet of Things in Agriculture Key Laboratory of Modern Precision Agriculture System Integration Ministry of Education Engineering Design and Research Center IWHR Institute of Information for Agriculture Shandong Academy of Agricultural Sciences

ISBN: (纸本)9783319483566

The small hydropower substitute fuel(SHSF) project is a commonweal project, give prominence to the ecology benefit. The manager of SHSF need a full and specification report for the evaluation results, rather than a database or a simple data of the result. So, based on the characteristics of the management and evaluation system of SHSF project, this paper presents a multi-indicator comprehensive evaluation module and report template, which includes environmental impacts on climate change, conversion of cropland to forest and natural forest protection project, greenhouse gas emission and the role of social and poverty alleviation. In order to achieve automated building of the comprehensive evaluation report of the small hydropower replacing firewood project, a quick and automatic generation method is constructed for the evaluation report based on C#.Net development environment. It produces evaluation report by reading, traversing and replacing the corresponding position data placeholder of customized multi-indicator evaluation report template. The results showed that the quick and automatic generation method meets the requirements of the management and evaluation system of the small hydropower replacing firewood project successfully, and can be referenced in study and practical application.

关键词： Small hydropower substitute fuel (SHSF) Multi-indicator evaluation report template Quick and automatic generation method Evaluation Report WATER POWER hydropower autogeneration FUEL SUBSTITUTION manager

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Phenotype feature selection for crop breeding evaluation based on ranking relevance

引用

Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery 2015年 46卷 283-289页

作者： Liu, Zhongqiang Zhao, Xiangyu Wang, Kaiyi Li, Minzan Key Laboratory of Modern Precision Agriculture System Integration Research Ministry of Education China Agricultural University Beijing100083 China National Engineering Research Center for Information Technology in Agriculture Beijing100097 China Key Laboratory of Agri-informatics Ministry of Agriculture Beijing100097 China Beijing Engineering Research Center of Agricultural Internet of Things Beijing100097 China

Traditional breeding evaluation methods focus on information of crop traits, while ignoring the previous evaluation results. In order to enhance the efficiency of material evaluation under the condition of large-scale breeding, the comprehensive evaluation of crop traits was integrated into the breeding evaluation, and a method of phenotype feature selection for crop breeding evaluation based on ranking relevance was proposed. Firstly, the training sample set and the candidate feature set were selected from breeding data, and the correlation between the phenotype feature and the results of evaluation and the similarity of the agronomic traits were calculated. Then, considering the characteristics of the maximum correlation coefficient and the minimum similarity, a model of phenotype feature selection for breeding evaluation based on ranking relevance was constructed. The established model can be used for different breeding objectives focusing on collection of characters, and validity of the model was verified by using three kinds of soybean identification trial in 2013. The model also can be used as the preprocess of breeding evaluation to determine the weights of the traits accurately. © 2015, Chinese Society for Agricultural Machinery. All right reserved.

关键词： Crops

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