Earticle

Intelligent greenhouse monitoring technique is an efficient agricultural control technique emerging recently. The threshold value control of the switching value is the most-adopted greenhouse control method. Due to unique characteristics of greenhouse, the existing monitoring style cannot meet the great demand of greenhouse for intensive monitoring. Concerning the monitoring demands of the greenhouse and based on the technique of Internet of Things, this paper introduces the multisensory fusion technique to the intelligent greenhouse monitoring system. The greenhouse environmental monitoring system based on ZigBee is built, and a two-layer fusion method of “sensor+aggregation node” is put forward. The Kalman filtering method and the weighted average method are employed to conduct sensor node fusion and aggregation node fusion, respectively. An experiment is carried out to verify the built model with the experimental results suggesting that the two-layer fusion method can improve the measurement accuracy and stability of the greenhouse environmental monitoring system.

With increasing technology and decreasing amount of time in everyone's lives, the luxury of home automation is being deeply valued. This paper will provide an efficient solution for a reliable, economical and user friendly home automation system. In this system we will be using Raspberry pi to connect to the home network through which we can access the home appliances from across the globe. PHP Script has been used for creation of web portal through which the user can provide the inputs for controlling the appliances. Python program has been used in Raspberry pi which will turn devices on and off. Connection between PHP and Python has been maintained using My SQL Database.

The conceptual design of shared refrigerator is mainly from the humanization to solve the problem that different smells that made by different foods stored together, and it can effectively avoid the unreasonable use of the refrigerator space. In this refrigerator design, the practical problems encountered in the using process are fully considered and analyzed, and the humanized design concept is widely used. This article, focusing on people's needs in their daily lives, taking full account of the relationship between structure and function of the refrigerator, is mainly about the innovative design and research of shared refrigerator in terms of function, structure, materials, process and man-machine relationship, etc. This article puts forwards a new refrigerator–design-concept to make people feel the beauty, happiness and convenience of life brought by the design.

Taking 7075 aluminum alloy thin-walled part as the research object, with higher cutting parameters than the normal value selected, a four factors and four levels orthogonal experiment was carried out, in which we chose YG carbide cutting tools for the milling, intercepted the milling force stable section, selected ten peak values and took an average, conducted multiple linear regression analysis using Matlab numerical calculation software and established the milling force empirical formula of 7075 aluminum alloy thin-walled part to study the factors which have influence on its milling force. By range analysis of the experimental results, the cutting force change rule in the manufacturing process of aluminum alloy with the change of cutting parameter was revealed. It is found that the axial cutting depth had the greatest influence on the force perpendicular to the direction of cutting surface, and the radial cutting depth had the minimal impact. By comparative analysis on theoretical value and experimental value of milling forces, we found that the predicted value of the milling force Fx and Fy in theory were in good agreement with the experimental results with a relative error less than 8.7%. Under the experimental conditions, the optimal milling parameters are axial cutting depth of 2mm, radial cutting depth of 0.5mm, feed speed 95mm/min and cutting speed of 23.86m/min. It will provide data and experiment support for milling of thin-walled parts of similar materials, which will have important practical value and theoretical significance for engineering.

The United Nations estimates that about 15 percent of the world’s population lives with some type of disability. Equally important is the increasing life expectancy rate of elderly people. People falling in any of these categories face great difficulty in living an independent life and have to be dependent on others. Internet-of-Things (IoT) presents immense potential in solving these problems. IoT is a concept by which everyday objects can communicate with each other via a network. This enables us to collect and store the data from these devices in the Cloud. Although there are existing systems that help to solve some of these problems; however, a comprehensive system is missing. In this paper, we propose a unified system ALED (Assisted Living for the Elderly and Disabled) using Google Brillo and Weave platform to solve both of these problems. The system provides a solution by collecting data from IoT devices (e.g., smart sensors, wearable devices, tags) and utilizes the Cloud to process the information from database. The system enables the elderly and disabled to live their life independently and at the same time make it more pleasing.

A 20 t parallel hybrid excavator was applied as the research object in the research. To optimize the fuel economy of the engine and maintain the balanced electric quantity of power batteries simultaneously, a fuzzy logic based strategy was proposed to control the power train of the 20t parallel hybrid excavator. The torque required by the system and the state of charge (SOC) of the capacitor were regarded as the input parameters, while the power partition coefficient K was regarded as the output parameter to design the fuzzy logic controller, so as to optimize the power output of the engine and the motor. The simulation and bench test results demonstrated that the proposed fuzzy logic based control strategy can maintain the balanced electric quantity of the capacitor while controlling the engine to be operated at the optimal output power. Meanwhile, after being optimized by the fuzzy logic, the engine reduced the fuel consumption by 8.06%. Therefore, it is concluded that this strategy is applicable to parallel hybrid excavators, accompanying with significant energy saving effect.

Industrial restructuring is an important step to realize low-carbon economic development in Guangxi Beibu Gulf Economic Zone. This paper explores the relationship between industrial structures and carbon emission by analyzing development of industrial structures and low-carbon economy, status of carbon emission and grey correlation between industrial structures and carbon emission in the zone. The conclusion is that there is a close relationship between industrial structures and carbon emission and that secondary industries have the most important influence on carbon emission intensity in the economic zone. On this basis, suggestions are provided to promote development of low-carbon economy.

This paper takes Weifang, where ecological advantage is relatively stronger than other regions in Jiaodong peninsula, as an example and establishes an index system for environmental effect evaluation of agricultural production activities in order to conduct quantitative research on the relationship between agricultural production activities and environment. Firstly, indexes are chosen under PSR framework, then extension analytic hierarchy process (AHP) is used to calculate extension interval judgment matrix on the basis of expert scoring. Calculation result is weight vectors that meet with consistency conditions and single hierarchical arrangement is practiced. The normalized results of single hierarchical arrangement are weight vectors of indexes of different hierarchies. The index system helps to formulate policies for sustainable development of economy, society and ecology, industrial restructuring and conservation and rehabilitation of ecological environment in Jiaodong peninsula.

The building energy management systems its control and automation in buildings has significant role. These systems can play an important role in regular energy monitoring and management and therefore to save the possible energy and cost. The key point of the building automation market is focused upon better facilitation to the user in terms of comfort at reduced operation cost. Energy efficiency improvement will also contribute to environmental protection. Therefore there have been regulations and rating systems made that mandates the requirement of energy monitoring and control in a building. For example, the above mentioned building utilities and equipment control and automation plays an integral role in achieving the green building rating points from certifying authorities such as GRIHA and IGBC. The proposed system is to control the active systems such as lighting including artificial lighting (on/off & dimming control), air conditioners and safety features like fire alarm & gas alarm. In future the existing idea can be implemented for the whole building, i.e. various rooms or areas and then all of them can be integrated on a common platform for monitoring and control of different equipment.

The monomer thermal performance of solar air collector is the bottleneck problem of the design application of practical engineering. By combining the experimental and theoretical researches, this paper uses the heating load and thermal efficiency of the optimization module at different flow rates, and puts forward the efficiency normalization treatment method; analyzes the heat transfer intensity, heating capacity, thermal efficiency and indoor heating effect of the module under different operation modes; with the microprocessor as the core, sets up the intelligent control system of solar air heating with multiple sensor information fusion; adjust the running state of fan and heating units according to the changes of indoor and outdoor environment in real time. The practical application shows that the intelligent control system can ensure a comfortable indoor environment and improve the thermal efficiency of the system.

In recent years, with the rapid development of society and economy, the energy shortage and the environmental pollution become more seriously, the heat industry, represented by the boiler, is of high energy consumption and emissions; it is facing tremendous pressure of energy conservation. Combustion machine is core of heating device; it controls the temperature distribution, thermal efficiency and service life of the boilers. In order to improve the thermal efficiency of combustion systems and save the energy, the burner is faced with the problem of optimizing the performance, solving these problems is of great social and economic significance. In this paper, in order to improve bio-fuel burner efficiency and decrease the pollution, after studying its control characteristics, we proposed the new performance control scheme, which use CO and O2 feedback correction as air volume to adjust bio-fuel combustion burner, based on it, we designed the software and hardware of control system, at the same time, we studied its combustion model and optimization algorithm, came up with the control algorithm of the burner based on LSSVM + GA. Finally, use the proposed control scheme and optimized control algorithm in this paper, to make the model of combustion efficiency and NOx emissions of bio-fuel machine, make the optimization experiments of O2, CO amount based on GA gas, under the condition that NOx emissions is less than 0.52%, the combustion efficiency is less than 0.06%,the algorithm proposed can adjust the wind amount into burner timely and get the best combustion efficiency and nitrogen oxide emissions.

In this paper, a new control method is proposed. The SIEMENS 828D control system reads a feed axis machining of any one time processing, calculates the axis displacement data and draws the other two related linkage axis machining data. it through the PLC program of the control system written way R parameter is assigned to the other two related linkage of shaft processing program. Dynamic following effect of forming milling thread machining, reduce the product processing error, improve the product processing precision, technical indicators satisfy the similar foreign products.

In this paper a personalized recommendation and speech emotion recognition based smart home entertainment system, which integrates multiple entertainment resources including online movies/TV serial, TV programs and online music, is proposed. The system is controlled by the smart phone through finger touch or speech, avoiding searching infrared remote controller. There is no requirement for luxury and expensive acoustic system or smart TV. Furthermore, advertisements are removed when watching online movies by capturing video source files and customizing the web video player. Massive design details are presented and discussed, including: (1) system architecture and functionalities; (2) design of the server and the smart phone APP; (3) details of personalized recommendation and speech emotion recognition; (4) design of database and some implementation issues, including web page source file crawling, regular expression based information extraction, resource searching and absolute progress locating of web video player.

Due to the low recognition accuracy, the remote meter reading technology based on camera direct reading has been developed slowly. Although there is a variety of features data for recognizing digit in image using BP neural network, some of data cannot be used to recognize digit accurately. Moreover, the BP network has a slow rate of convergence, low accuracy and easily fall into local minimum. To solve the above questions, a new digit recognition algorithm of meter based on rough set and neural network which are optimized by genetic algorithm is proposed. The improved genetic rough set algorithm is used for reducing the data, and then the minimum feature attribute sets after reduction are input to genetic neural network for identifying digit. The experimental results show that the algorithm can effectively reduce the number of decision attributes and simplify the structure of the neural network with high identification accuracy and short training time, which improve the generalization ability and robustness of the neural network.

Aiming at the problem of passive tracking of moving target, this paper establishes a mathematical model for the multi station time difference location and passive tracking of the moving radiation source and proposes a passive tracking algorithm based on extended Calman filter (Kalman Filter Extended, EKF). At first, the two order constant velocity motion model is established, the initial value and the initial co-variance of the Cal-man filter are used as the initial value and the initial co-variance of the system. The simulation results show that the extended Cal-man filter is used to achieve the real-time results of the time difference location. The positioning accuracy is greatly improved, and the target trajectory is more obvious. The tracking results can be approximate. Finally, the effectiveness of the proposed algorithm is verified by the engineering experiments.

VANET is a highly mobile wireless ad hoc network that is targeted to support road safety, traffic monitoring and other applications. The node communication is easy to break due to the high mobility of vehicles and the road layout. In this paper, we propose an efficient routing based on static node assistance. The static nodes are fixed in each intersection. Each static node stores information of other static nodes in path. The routing takes static nodes as backbone nodes and vehicles as relay nodes between static nodes. The static nodes are selected dynamically and sequentially, and they are chosen according to the delay that packets are forwarded from the current static node to the candidate one. The vehicular relay selection between two static nodes considers the link stability as the parameter. Simulation results show performance improvement comparing with performance of other existing routing approaches.

Lightning groundwire or tower without fault, back striking, shielding failure without fault and shielding failure with fault are simulated and analyzed in this paper based on the electromagnetic transient simulation software of ATP-EMTP. The results show that the current waveform of lightning strikes the ground or tower without fault is generated by the coupling of lighting current from lighting groundwire and oscillates around the axis of the steady state. Back striking contains processes of couple and flashover, its current waveform has characteristics of reverse polarity pulse and sudden current drop. The current of shielding failure without fault is the lighting current. The current waveform of shielding failure with fault is characterized by the truncation. On this basis, the Hilbert Huang transform (HHT) was introduced to do further analysis of the simulation results. The solution of end effect is also proposed in this paper. And thus the marginal spectrum was obtained by dealing with the simulated current waveform of lightning stroke. Then, calculating the energy distribution in different frequency bands and normalizing them. Therefore, a method for recognizing 4 types of lightning stroke is proposed which is on the basis of the energy proportion in different frequency bands. In addition, a large number of simulations are conducted to verify the effectiveness of this method by changing the parameters of the lightning current, grounding resistance and lightning distance.

With the increasing number of smart home devices and the widespread availability of broadband communications, intelligent products built on the computational power and scalability of cloud, have the potential to reach beyond traditional markets. Cloud-based Home Energy Management (HEM) paradigm can provide intuitive and automated services that can not only save money and energy but also improve the quality of lives of consumers. This paper provides a detailed summary of the literature review of HEM and proposes (1) a conceptual smart home model with a special integration of solar powered devices with the cloud, (2) a limited consumer survey, and (3) a Multi-Attribute Modeling (MAM) with an example application for consumer adoption of Home Energy Management System (HEMS) and allied devices. The results of literature research and an online survey point out that the surveyed consumers acknowledge the importance of energy efficiency in their daily lives and lean towards adopting cloud-based smart home devices for their needs. The bottom line for adopting HEMS is the availability of secure, robust and cost-effective solutions coupled with considerable money-saving potential.

The ordinary gas sensor has low material utilization, high power consumption, temperature distribution uneven and poor consistency problems. Based on film processing technology, this paper designs a new structure of micro gas sensor. Triangle type design is first adopted in the structure, with platinum as the electrode material, ceramics substrate. Using ANSYS Workbench to analysis different size electrode and substrate that including the temperature field, stress field and the optimization design for substrate and electrode, the sensor can be uniform temperature distribution, stress of small and the effective control of power consumption, it is beneficial to improve the overall performance of the sensor. In addition, the sensor is tested to verify the accuracy of the finite element simulation.

Cloud platform is a basic platform to support large data, large-scale and high-frequency access computing. The high-energy consumption of the cloud platform and the schedule of multi-constrained combination in cloud applications is challenging issues faced by the cloud computing. We conducted a systematic review in this paper for the energy consumption of a cloud platform, and pointed out the existing problems, and put forward ideas to solve the above problems by constructing the four-level system. Firstly, by conducting virtualization management to the physical resources in the cloud to form the layer of virtual resource. Then, named as presentation layer, to build a formal model of cloud application multi_attribute with effective description, measurement, calculation. Based on this proposed scheduling application layer enables cloud applications to meet the multiple objectives with multi-attribute, heuristic, feedback, iterative scheduling and cloud resources, energy optimization. It laid the foundation for the formation of cloud platform architecture, key technologies and algorithms, which satisfy the multiple objectives: the maximum possible scheduling of the multi-attribute combination constraint application, the optimization for energy consumption and resources in cloud computing.

The diabetic foot might display numerous complexities when they are not monitored frequently. Diabetics will lead to foot ulcer which in future leads removal of foot parts. Persistent homecare observing of the diabetic foot is very important where a frameworks coordinated to a Smartphone helped Model for analysis are required by doctors to enhance early finding. This paper presents a review on diverse frameworks related to homecare based diabetic foot monitoring and procedures utilized for diagnosing diabetic's foot.

A 3D mathematical model of orthodontic archwire with rectangular curve is established. Simplified 3D solid model of orthodontic archwire bending robot, which is consistent of bending die, support structure and archwire are established by Creo software, then the simplified model of bending die is put into ANSYS Workbench. Material parameters the contact condition and boundary conditions are set reasonably for the model. Based on the finite element analysis method, the calculation and analysis of the nonlinear contact problem of archwire and bending die, besides the stress distribution of curve bending and bending die is got. This provides the reference for optimal design of bending planning and bending die.

Accurate assessment of carbon emission of urban regional transportation is the core of urban low-carbon traffic construction. Traditional carbon emission evaluation methods need a large number of samples and sample data of carbon emission of urban regional transportation is smaller, so the precision will be lower if traditional methods are adopted. This paper proposes particle swarm optimization to optimize support vector machine carbon emission early warning system of urban regional transportation (PSO－SVM) and takes the advantage of small sample data modeling of support vector machine to improve the carbon emission evaluation accuracy of urban regional transportation. Furthermore, this paper takes carbon emission evaluation accuracy of urban regional transportation as modeling target, selects reasonable evaluation index, confirms carbon emission evaluation model structure of urban regional transportation and then optimizes support vector machine (SVM) by adopting particle swarm optimization (PSO) to establish evaluation model and conduct system simulation. Results show that PSO-SVM actually increases the assessment accuracy, having practical application value in urban traffic carbon emission management.

A new topology of high gain DC-DC quadratic boost converter with voltage multiplier cell (VMC) is introduced in this paper. The proposed VMC technique is derived from the traditional quadratic boost converter, which has an advantage with high voltage gain and stress across the semiconductor devices are lower than the output voltage. To validate efficacy of the proposed method simulation has been performed in Mat lab Simulink software to compare the voltage gain of proposed method with others five modified boost converters. The input voltage of proposed converter and other topologies are same 10VDC but the output voltage of proposed converter is much higher than others converters which are discussed in this paper.

BIM is a major innovation in the past ten years, it has had a broad and far-reaching impact in the construction industry. Based on the research and analysis of the application value and application status of BIM, this paper forecasts the application prospect of BIM, and puts forward the application scope and application mode of BIM in the construction industry. In this paper, the author participate in B IM projects, he details BIM’s Technology of Application in the green building design and analysis process; he explore the using BIM Technology for green building design and simulation analysis, finally ,he summarizes the technical advantages.

Delivery delay, instead of energy efficiency is the most significant objective for low-duty-cycle sensor networks due to the introduction of sleep latency. In this work, we study the mobility scheduling problem of sink in low-duty-cycle sensor networks. In order to reduce the delivery delay, the sink mobility and the inherent duty-cycled operation of nodes are jointly considered. We propose EfficientMobility Scheduling scheme, which decomposes mobility schedule problem into three sub-optimal problems, the delay-bounded hierarchy, path planning for mobile sink and dynamic data forwarding. The main idea behind is to balance the moving time by reducing the number of rendezvous nodes and waiting time by switching the forwarding path dynamically. The proposed scheme is evaluated through extensive simulations and compared with the state of the art, which shows our design is more efficient on delivery delay and energy conservation.