Implementation of 6LoWPAN and Its Application in Smart Lighting

Smart lighting system based on PLC (Power Line Communication) is lack of extensibility due to low data rate and non-standard communication protocol. 6LoWPAN is an IP-based communication standard for WSN (Wireless Sensor Network) proposed by IETF. We upgraded the SEMS smart lighting system from PLC to 6LoWPAN, PLC nodes were replaced by 6LoWPAN nodes and centralized controllers were replaced by border routers. 6LoWPAN system testing was carried out on the street after the implementation. The results show that smart lighting system based on 6LoWPAN is better than PLC in transmission rate, signal coverage range, compatibility and extensibility.

Multi-Hop Transmission Method of 5G Millimeter Wave Relay Based on Network Coding

With the rapid development of the Internet technology,millimeter wave(mmWave)will be used as a supplement to 5G low frequency bands to meet the extremely high system capacity requirements of 5G in hot spots.Although 5G mmWave communication can adapt to the needs of 5G network and carry a large amount of transmitted data,transmission stability has become one of the key technical issues of 5G network mmWave communication due to problems such as strong attenuation and poor penetration of mmWave.In order to improve the efficiency of the mmWave multi-hop transmission,we propose a 5G mmWave multi-hop transmission method based on network coding,which can adapt to the current wireless network environment,improve spectrum efficiency and increase network throughput.Based on MATLAB simulation experiments,it is verified that the proposed method can greatly improve the transmission efficiency and reduce the signal loss under the premise of ensuring the accurate signal transmission.

Research on Causes and Countermeasures of Existing Problems in Tourism Signage System

China takes the road of tourism development,and the tourism industry is gradually branded,which is also a reflect of tourism management to adapt to the trend of the times.Tourism is an important economic project for the participation of the whole people.By optimizing the local resources,the tourism space is carried out in an orderly manner,and the rich tourism products are displayed in front of the tourists.With the development of tourism,the scientific tourism system has been established,and the globalization of tourism has been realized.To promote the healthy development of tourism,tourist signs are essential.From the current established tourism signage system,there are still some problems,which affect the quality of tourism management.It is necessary to take corresponding countermeasures.This paper focuses on the causes and strategies in response to the existing problems in the tourism signage system.

Preservation Planning in the OAIS Model

The OAIS model has gained widespread acceptance as the fundamental design reference model for an archival system by the digital library community. One of its core entities is Preservation Planning, for which central functional entities are given yet without every detail breaking down into activities requirements. The Planets Preservation Planning approach addresses this by providing a way to make informed and accountable decisions on which preservation strategy to implement in order to most suitably preserve digital objects for a given preservation context. It allows the explicit definition of requirements and goals and offers a systematic way to evaluate preservation strategies. This paper shows the implementation of the Develop Preservation Strategies and Standards function of the OAIS model through the Planets Preservation Planning approach. Moreover, the paper examines the information flows within the OAIS Preservation Planning entity and with other functional entities with respect to the Planets model.

Energy Efficient Relay Positioning and Power Allocation for One-Way N-Relay Channel

Two end-users which have symmetric traffic requirements in terms of data rate are considered. They exchange information in Rayleigh flat-fading channels and multiple serial half-duplex relay nodes are employed to extend the communication coverage and assist the bidirectional communication between them using the analog network coding( ANC) protocol. With the objective of minimizing the sum transmit energy at the required data rate c,the optimal relay positioning and power allocation problem is firstly investigated and then the sub-optimal solutions for a two-relay channel are proposed,due to no close-form optimal solution. Furthermore,a sub-optimal scheme of relay positioning and power allocation,called equal-distance equal-transmit-power( EDEP) for an arbitrary Nrelay channel,N > 1 is proposed. Simulation results demonstrate a consistence with our proposed scheme.

Impact of dataset on the study of crop disease image recognition

Datasets are very important in image recognition research based on machine learning methods.In particular,advanced methods such as deep learning and transfer learning are more dependent on datasets used for training models.The quality of datasets directly affects the final effect of these methods.In the research of crop disease image recognition,due to the complication of the agricultural environment and the variety of crops,datasets are scarce at present.Therefore,more and more researches adopt methods based on transfer learning,which can make up for the lack of data in the target domain with the help of other datasets.Among these methods,the selection of auxiliary domain datasets has great impact on the modeling effect of target domain.In order to clarify the impact of datasets on the research of crop disease image recognition,this study used different deep neural network frameworks to study and compare the effects of different datasets in crop disease image recognition based on transfer learning.The selected datasets include PlantVillage and Image Database for Agricultural Diseases and Pests Research(IDADP),which have been widely used in recent studies.And the selected deep neural network frameworks include ResNet50,InceptionV3,and EfficientNet.In the method of this study,the datasets are preprocessed first,such as data enhancement.After dividing the auxiliary domain and the target domain,the selected deep neural network frameworks are used to pre-train the model on the auxiliary domain dataset.Finally,the parameter-based transfer learning method was used to construct the corresponding crop disease recognition model in the target.In the experiments,multiple different datasets and different models were tested and compared.The results show that when the test set samples and training sample scenarios are consistent,the recognition accuracy of different network frameworks on multiple test sets is generally high.When the scenarios of test set samples and training samples are inconsistent,the recognition of various test sets by different network models cannot obtain ideal results.For the recognition of crop disease images that are collected from the actual cultivation environment,the use of IDADP dataset modeling is better,and it has more practical value in the actual application of crop disease image recognition.

Immersive virtual reality for extending the potential of building information modeling in architecture,engineering,and construction sector:systematic review

The field of architecture,engineering,and construction(AEC)is continually striving to use resources efficiently and manage complex processes.Now more than ever,there is a strong need for digital transformation in AEC.The improvement in the accessibility of consumer-based head-mounted displays(HMD)is attracting different entertainment and research fields to immersive virtual reality(VR)applications.Building Information Modeling(BIM)is known as a promising technology in AEC.The full potential of BIM is not yet employed to empower this field,however,and this could be a result of some barriers still to be surmounted by BIM in both technological and management perspectives.One of these barriers is the communication and collaboration between design,construction,operation,and maintenance phases.VR can fill this gap by providing additional capabilities for BIM which either were not available before or were not possible to employ in practical ways.In this paper,we systematically review recent research around the application of VR in BIM and discuss the results using the PRISMA flowchart.We discuss the most commonly used technologies,software,and evaluation methods and the various applications of VR in the reviewed papers.Finally,we extend the discussion by summarizing the potential future work in this area.

Visual object tracking:Progress,challenge,and future

Visual object tracking aims to continuously localize the target object of interest in a video sequence.As one of the most fundamental problems in computer vision,visual object tracking has a long list of critical applications including video surveillance,autonomous driving,human-machine interaction,augmented reality,robotics,etc.,in which the tracking system provides the capacity to report target positions in real time for subsequent visual analysis.In the past decades,visual object tracking has been extensively explored and has witnessed considerable progress,especially in deep-learning-based tracking.

面向服务架构中服务实现的策略

构造了层次化的SOA模型,并提出了将服务使用层与服务实现层分层处理的策略.建立了基于服务的构件模型来实现SOA中的服务,使用接口来描述服务的语法,契约来描述服务的语义,并用卫式设计来模服务的行为.将接口作为结合构件技术与面向服务架构的关键.用实例说明了如何使用这种方法来实现面向服务的设计.此工作为利用构件技术解决面向服务架构中的服务实现问题奠定了基础.

Controllably Growing Topologies in One-shot RAFT Polymerization via Macro-latent Monomer Strategy

The controlled and efficient synthesis of polymers with tailored topologies is challenging but important for exploring structure/property research. Herein, we proposed a concept of macro-latent monomer to achieve the controlled growth of polymer topologies.The macro-latent monomer was installed by a dynamic furan/maleimide covalent bond at the chain terminal. One-shot reversible additionfragmentation chain transfer(RAFT) polymerization of styrene and the macro-latent monomer created controlled growth of polymer topologies.Low temperature such as 40 ℃ could not activate the macro-latent monomer and thus the polymerization created the homo-polystyrene. By contrast, high temperature of ~110 ℃ activated the macro-latent monomer, and a maleimide-terminated macro-monomer was released via the retro-Diels Alder reaction. This macro-monomer immediately joined the cross polymerization with styrene and thus produced the side chains. By delicately manipulating the polymerization temperature, the predetermined placement of the macro-latent monomer-derived polymeric sidechains created controllably growing topologies, including star-, π-shaped, and density-variable grafting copolymers. This work paved a new way for creating on-demand topologies and would greatly enrich the topology synthesis.

A strategy for service realization in service-oriented design

Recently service orientation is becoming a mainstream approach for building large scale software systems. A key requirement in service-oriented design is the dependability of service. It stipulates that the behavior of services is controllable. Formal models can aid in constructing software in a dependable manner. They can describe ser- vices precisely and compose them together consistently. This paper presents a strategy for service realization based on a novel layered formal model. When a service is provided or required via internet, the semantic consistency becomes critical issue, Our architecture tackles the issue by proposing a novel scheme： defining contract of a service to keep semantic information. Although service-oriented design is our prime target, the contract models, to a large extent, are independent of the framework of design and therefore applicable to large scale software design in general.

Interactive map reports summarizing bivariate geographic data

Bivariate map visualizations use different encodings to visualize two variables but comparison across multiple encodings is challenging.Compared to a univariate visualization,it is significantly harder to read regional differences and spot geographical outliers.Especially targeting inexperienced users of visualizations,we advocate the use of natural language text for augmenting map visualizations and understanding the relationship between two geo-statistical variables.We propose an approach that selects interesting findings from data analysis,generates a respective text and visualization,and integrates both into a single document.The generated reports interactively link the visualization with the textual narrative.Users can get additional explanations and have the ability to compare different regions.The text generation process is flexible and adapts to various geographical and contextual settings based on small sets of parameters.We showcase this flexibility through a number of application examples.

Big Data Oriented Novel Background Subtraction Algorithm for Urban Surveillance Systems

Due to the tremendous volume of data generated by urban surveillance systems, big data oriented lowcomplexity automatic background subtraction techniques are in great demand. In this paper, we propose a novel automatic background subtraction algorithm for urban surveillance systems in which the computer can automatically renew an image as the new background image when no object is detected. This method is both simple and robust with respect to changes in light conditions.