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Design of Wireless Sensor Network (WSN) with RF Module for Smart Irrigation System in Large Cultivated Area

Design of Wireless Sensor Network (WSN) with RF Module for S...

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Joint international conference on Computer engineering, Network and intelligent Multimedia (CENIM) / 11th AUN/SEED-Net Regional conference on Computer and Information engineering (RCCIE)

作者： Radi Murtiningrum Purwantana, Bambang Muzdrikah, Fajar Siti Nuha, M. Shohibun Rivai, Muhammad Univ Gadjah Mada Fac Agr Technol Dept Agr & Biosyst Engn Yogyakarta Indonesia Inst Teknol Sepuluh Nopember Fac Elect Technol Dept Elect Engn Surabaya Indonesia

ISBN: (纸本)9781538675090

Give water to crops that is usually called as irrigation is one of the most important activities in farming system. Because water determine the crops growth and development, it should be available sufficiently inside the planting media. Recently, such control technology for crops irrigation has been developed though its application for such drip irrigation is still limited in small cultivated area. For extensive crop cultivation areas such as plantations, it needs a strategy to apply the technology in large cultivated area. We propose a model that is called as a smart irrigation systems (SIS). In the model, the large cultivated area is divided into several plots, where each plot has an independently automatic irrigation system. In order to be easily managed, each irrigation system in each plot can communicate to others and all information should be collected in a data server that is connected to cloud system. Since that common plantation area has limitation of communication lines, we propose a wireless sensor network (WSN) based on a radio frequency (RF) communication to connect all automatic irrigation systems. this paper focuses on designing a WSN prototype based on a radio frequency (RF) module to develop a smart drip irrigation system for large cultivated land. the WSN is designed from a master node functioned as coordinator and three slave nodes. the master and slave nodes are equipped with an RF module with a 2.4GHz frequency for communication. After construction, the WSN prototype with star topology is then tested for its ability, especially for transmitting data from slave to master and vice versa. the prototype has been tested with varied distance of 50 m, 100 m and 150 m between master and slave in a tree-blocked open space. Based on the data losses, the prototype has a good performance if the distances is less than 100 m.

关键词： smart irrigation system (SIS) wireless sensor network (WSN) radio frequency (RF) data transmission

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AI and data driven new energy systems 11

AI and data driven new energy systems

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11th IET international conference on Advances in Power System Control, Operation and Management, APSCOM 2018

作者： Kong, W.C. Dong, Z.Y. University of NSW Sydney Australia

ISBN: (纸本)9781839530043

Energy systems today are increasingly featured by new elements with high level of uncertainty. One of most prominent sources of uncertainty is from renewable resources, which are heavily embraced to build a more sustainable energy future. To accommodate the intermittent nature of renewable resources, demand side is expected to be involved actively in future energy system operations. the complexity involved with multiple energy sources and interaction from end users has introduced high level of difficulties for accurate modelling and thus control of the system. Conventional simulation-based methods can be either computationally expensive or inaccurate due to modelling defects. With recent development in artificial intelligence, especially on deep learning technologies and other data-based methodologies, new approaches for energy system operations and energy market opportunities have appeared. In this talk, some key issues, challenges and methodologies for new energy system and market operations will be introduced. Advanced data analytics and artificial intelligence for research, and case studies with real market data will be presented as well. © 2018 Institution of engineering and Technology. All rights reserved.

关键词： data Analytics

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Protecting Your Faces: MeshFaces Generation and Removal via High-order Relation-preserving CycleGAN 11

Protecting Your Faces: MeshFaces Generation and Removal via ...

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11th IAPR international conference on Biometrics (ICB)

作者： Li, Zhihang Hu, Yibo Zhang, Man Xu, Min He, Ran CASIA Natl Lab Pattern Recognit Beijing Peoples R China CASIA Ctr Res Intelligent Percept & Comp Beijing Peoples R China Univ Chinese Acad Sci Beijing 100049 Peoples R China Capital Normal Univ Coll Informat Engn Beijing 100048 Peoples R China

ISBN: (纸本)9781538642856

Protecting person's face photos from being misused has been an important issue as the rapid development of ubiquitous face sensors. MeshFaces provide a simple yet inexpensive way to protect facial photos and have been widely used in China. this paper treats MeshFace generation and removal as a dual learning problem and proposes a high-order relation-preserving CycleGAN framework to solve this problem. First, dual transformations between the distributions of MeshFaces and clean faces in pixel space are learned under the CycleGAN framework, which can efficiently utilize unpaired data. then, a novel High-order Relation-preserving (HR) loss is imposed on CycleGAN to recover the finer texture details and generate much sharper images. Different from the L1 and L2 losses that result in image smoothness and blurry, the HR loss can better capture the appearance variation of MeshFaces and hence facilitates removal. Moreover, Identity Preserving loss is proposed to preserve both global and local identity information. Experimental results on three databases demonstrate that our approach is highly effective for MeshFace generation and removal.

关键词： MeshFaces High-order CycleGAN de-mesh de-noise

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(WIP) Evaluation of a Cloud-Based System for Delivering Adaptive Micro Open Education Resource to Fresh Learners 11

(WIP) Evaluation of a Cloud-Based System for Delivering Adap...

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11th IEEE international conference on Cloud Computing, CLOUD 2018

作者： Sun, Geng Cui, Tingru Dong, Fang Xu, Dongming Shen, Jun Chen, Shiping Lin, Jiayin School of Computing and Information Technology University of Wollongong Australia School of Computer Science and Engineering Southeast University China UQ Business School University of Queensland Australia CSIRO Data61 Australia

ISBN: (纸本)9781538672358

In this paper, we present an online computation approach implemented in a cloud-based system to assist open education resource (OER) providers and instructors dealing with the sparsity of data in micro OER recommendation. An algorithmic framework is provided to realize the novel micro OER recommendation system based on heuristic rules. these rules can also optimize the approaches to blending new-coming micro OERs into established learning paths. Comparing with different widely used recommender systems, our evaluation shows the proposed heuristic algorithms for online computation performs satisfactorily in terms of precision and recall values. © 2018 IEEE.

关键词： Recommender systems

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Case-Based Decision Support System with Contextual Bandits learning for Similarity Retrieval Model Selection 11th

Case-Based Decision Support System with Contextual Bandits L...

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11th international conference on Knowledge Science, engineering and Management (KSEM)

作者： Sekar, Booma Devi Wang, Hui Ulster Univ Sch Comp Jordanstown Campus Newtownabbey North Ireland

ISBN: (纸本)9783319993652;9783319993645

Case-based reasoning has become one of the well-sought approaches that supports the development of personalized medicine. It trains on previous experience in form of resolved cases to provide solution to a new problem. In developing a case-based decision support system using case-based reasoning methodology, it is critical to have a good similarity retrieval model to retrieve the most similar cases to the query case. Various factors, including feature selection and weighting, similarity functions, case representation and knowledge model need to be considered in developing a similarity retrieval model. It is difficult to build a single most reliable similarity retrieval model, as this may differ according to the context of the user, demographic and query case. To address such challenge, the present work presents a case-based decision support system with multi-similarity retrieval models and propose contextual bandits learning algorithm to dynamically choose the most appropriate similarity retrieval model based on the context of the user, query patient and demographic data. the proposed framework is designed for DESIREE project, whose goal is to develop a web-based software ecosystem for the multidisciplinary management of primary breast cancer.

关键词： Case-based reasoning Clinical decision support system Similarity retrieval Contextual bandits learning

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Technology-Needs Assessment data Analysis using PCA for the Design of a WLAN-based Hybrid Classroom Response and learning Management System Android Application

Technology-Needs Assessment Data Analysis using PCA for the ...

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international conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management (HNICEM)

作者： Joseph Bryan Ibarra Meo Vincent Caya Arnold Paglinawan Jerry Turingan Sarah Alma Bentir Jim Joseph Monta Jumarie Mocon Analyn Yumang Lilibeth Sabino Mariciel Teogangco School of Electrical Electronics and Computer Engineering Mapúa University Manila Philippines Senior High School Department Mapua University Manila Philippines College of Engineering University of Perpetual Help DALTA Molino Cavite Philippines

ISBN: (数字)9781728130446

ISBN: (纸本)9781728130453

the influence of technology in the evolution of modern-day education grows significantly as more educational institutions attempt to improve the quality of education. this study aims to develop a hybrid of a classroom response system and learning management system web and android applications without the use of the internet. A technology-needs assessment (TNA) was administered on 213 high school students. the TNA questionnaire was comprised by 16 closed-ended questions, 15 of which required Likert scale-based responses and one required a yes/no response. the TNA data was analyzed with the help of principal component analysis (PCA). the results of the PCA became the basis for the configuration of a wireless local area network of devices connected to a central server through a wireless router dedicated for the implementation of the web and android applications designed for the needs identified by the study. the web and android applications were developed using a test-driven development (TDD) approach. the system configuration was based on the system capacity requirements to enable simultaneous wireless connection of up to 100 mobile devices. Two groups of high school students were identified by the school to be part of the field testing of the web/android app since these students were of significantly similar academic standing in their respective classes. the study group (n=7) used the web/android app in their statistics class and a control group (n=10) were subjected to the traditional classroom set-up. the field testing lasted for two weeks covering various teaching and learning activities including exams. the exam results were subjected to Analysis of Variance using two-sample F-test and t-test. the results show that at 5% significance level, a p-value of 0.0026 was obtained, which indicates that the means between the summative test results data sets are significantly different. the performance of the students in the study group is significantly different from the

关键词： Principal component analysis learning management systems Androids Humanoid robots Wireless LAN Testing

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A Real-Time Detection Framework for On-Tree Mango Based on SSD Network 11th

A Real-Time Detection Framework for On-Tree Mango Based on S...

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11th international conference on intelligent Robotics and Applications (ICIRA)

作者： Liang, Qiaokang Zhu, Wei Long, Jianyong Wang, Yaonan Sun, Wei Wu, Wanneng Hunan Univ Coll Elect & Informat Engn Changsha 410082 Hunan Peoples R China Hunan Univ Hunan Key Lab Intelligent Robot Technol Elect Mfg Changsha 410082 Hunan Peoples R China Natl Engn Lab Robot Vis Percept & Control Changsha 410082 Hunan Peoples R China

ISBN: (纸本)9783319975894;9783319975887

On-tree fruit detection in orchards is important for yield estimation, mapping and automatic harvesting in modern agriculture. this paper proposes a real-time detection framework for on-tree mango based on SSD (Single shot Multi Box Detector) network, a state-of-the-art object detection algorithms based on deep learning. the mango image dataset used in this paper was gathered from outdoor mango orchards. Firstly, the dataset was annotated and converted to a trainable dataset for SSD network. Secondly, the author designed new sampling strategies and image distortions at the image pre-processing stage to optimize data augmentation techniques. Moreover, the default box proposal methods of SSD network were improved by redesigning the shapes of default boxes on multiple feature maps according to our own dataset. Finally, to explore which classification network is most suitable for mango detection, an experiment was presented to compare the detection performance of SSD network with the VGG16 and ZFNet as base network respectively. Almond dataset was also used to verify our proposed method. Experimental results demonstrated that, with optimization of data augmentation techniques and default box proposals, our improved VGG16-based SSD network can achieve higher performance than Faster R-CNN in on-tree mango detection, with F1 score of 0.911 at 35 FPS for 400 x 400 input image, which is a real-time detection.

关键词： Mango Detection SSD Deep learning

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Problem Solving Olympics: An Inclusive Education Model for learning Informatics 11th

Problem Solving Olympics: An Inclusive Education Model for L...

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11th international conference on Informatics in Schools - Situation, Evolution, and Perspectives (ISSEP)

作者： Borchia, Roberto Carbonaro, Antonella Casadei, Giorgio Forlizzi, Luca Lodi, Michael Martini, Simone Ist Tecn Ind Q Sella Biella Italy Univ Bologna Dip Informat Sci & Ingn Bologna Italy Univ Aquila Dip Ingn & Sci Informaz & Matemat Laquila Italy INRIA Sophia Antipolis Valbonne France

ISBN: (纸本)9783030027506;9783030027490

the paper presents the Olimpiadi di Problem Solving, a mild and inclusive competition aimed to promote computational thinking and general problem-solving in Italian schools. We describe motivation, teaching strategies behind the initiative, as well as its structure, organization and give some sample of the problems proposed to students. We also present some data that show the broad participation of Italian schools to the initiative, and a preliminary analysis of the results obtained by the students in the last 5 editions, which suggests that the competition fosters deep learning of computational thinking knowledge and skills.

关键词： Inclusive competitions Computational thinking Problem-solving

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11th EAI international conference on Communications and Networking in China, ChinaCom 2016

11th EAI International Conference on Communications and Netw...

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11th EAI international conference on Communications and Networking in China, ChinaCom 2016

ISBN: (纸本)9783319666242

the proceedings contain 105 papers. the special focus in this conference is on Communications and Networking in China. the topics include: Transceiver optimization in full duplex SWIPT systems with physical layer security;robust secure transmission scheme in MISO interference channel with simultaneous wireless information and power transfer;an effective limited feedback scheme for FD-MIMO based on noncoherent detection and kronecker product codebook;two-stage precoding based interference alignment for multi-cell massive MIMO communication;adaptive energy-saving mechanism for SMAC protocol in wireless sensor network;a transmission rate optimized cooperative MAC protocol for wireless sensor networks;heterogeneous control and data split network for precision formation flying of distributed spacecraft;a novel feedback method to enhance the graphical slotted ALOHA in M2M communications;a hybrid automatic repeat reQuest scheme based on maximum distance separable codes;energy-efficient resource allocation in distributed antenna systems;applications of genetic algorithms in BGP-based interdomain traffic engineering;performance analysis of routing algorithms based on intelligent optimization algorithms in cluster Ad Hoc network;incentive mechanism for crowdsensing platforms based on multi-leader stackelberg game;master controller election mechanism based on controller cluster in software defined optical networks;performance evaluation of black hole attack under AODV in smart metering network;an entropy-based DDoS defense mechanism in software defined networks;protecting location privacy through crowd collaboration;a measurement and security analysis of SSL/TLS deployment in mobile applications and two degree forest based LT codes with feedback.

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Two-step training and mixed encoding-decoding for implementing a generative chatbot with a small dialogue corpus

Two-step training and mixed encoding-decoding for implementi...

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2018 Workshop on intelligent Interactive Systems and Language Generation, 2IS and NLG 2018, collocated with the 11th international conference on Natural Language Generation, INLG 2018

作者： Kim, Jintae Lee, Hyeon-Gu Kim, Harksoo Lee, Yeonsoo Kim, Young-Gil Kangwon National University Computer and Communication Engineering Korea Republic of NCSOFT Corp. Korea Republic of Electronics and Telecommunications Research Institute Korea Republic of

ISBN: (纸本)9781948087889

Generative chatbot models based on sequence-to-sequence networks can generate natural conversation interactions if a huge dialogue corpus is used as training data. However, except for a few languages such as English and Chinese, it remains difficult to collect a large dialogue corpus. To address this problem, we propose a chatbot model using a mixture of words and syllables as encoding-decoding units. In addition, we propose a two-step training method, involving pre-training using a large non-dialogue corpus and re-training using a small dialogue corpus. In our experiments, the mixture units were shown to help reduce out-of-vocabulary (OOV) problems. Moreover, the two-step training method was effective in reducing grammatical and semantical errors in responses when the chatbot was trained using a small dialogue corpus (533,997 sentence pairs). © 2018 Association for Computational Linguistics

关键词： Mixtures

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