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Approaches to monitor coffee leaf Chl are necessary for field, landscape, regional, and national scale decision making to improve coffee stand health and productivity and to reduce yield losses. In this study, we investigated the influence of spectral settings, spatial resolution, and age-related crop canopy cover on leaf Chl modeling performance with Sentinel-2 MSI data. We ran the random forest...
In this paper, we will first explain the FS (familiarity and strangeness) model as a requirement for attracting people's attention and bringing about analogical thinking. After introducing the idea of shikake (triggers for behavior change) and its requirements, we propose the inclusion of the FS model as an attribute of MoDAT in order to encourage MoDAT participants to come up with new shikake ideas.
Article is dedicated to problem of creating the geometric database of products, that required for integration CAD and PDM technologies applicable in product lifecycle management process. As example are considered agricultural machinery tools' geometric data. Cite the forms of geometric data those applying in this process and structural analysis of the cluster system's connections of the components...
Every link of power system may exist security risks, power industry funds and technology is highly concentrated, the production equipment is very expensive, its operating parameters almost reached the extreme, physical simulation of its production process of experimental teaching costs are extremely high, resource consumption is huge, and may cause malignant environmental pollution. Teaching, training...
Drug development using plant sources is an important and fast evolving area. Plants contain valuable phytochemicals that possess a wide variety of curative functions including antibacterial, antifungal, anti-carcinogenic, enzyme stimulating, and many more. The growing prevalence of chronic diseases and rising health care costs have renewed the interests of many researchers to collect, store and retrieve...
A tracking simulator is an online simulation system that utilizes dynamic parameter estimation for calibrating model parameters to achieve state synchronization with the process. It can be utilized as a plant-wide virtual sensors or as a predictive tool to provide production forecasts based on the current state of the plant. The appearance of industrial applications based on tracking simulators has...
In modern manufacturing, large data sets from different sources are permanently generated along the production chain. This data are supposed to be used to optimize products and production chains. However, in most cases, process participants only focus on acquiring data and leave it then to decision makers for interpretation. While there is nothing wrong with that on principle, comparable results might...
The increasing amount of gathered sensor data in Industry 4.0 allows comprehensive data analysis software that creates value-adding opportunities. As companies often cannot implement such software by themselves and as they typically don't want to give their data to external scientists, they commission them to build the required software in order to execute it locally. However, installing, configuring,...
The Big data analytics gives new chances to the enterprises to enhance their management and manufacturing levels. A solution with case study is proposed to accomplish deep-level quality management based on big data analytics. First, the implementation of big data analytics based on industrial process data is illustrated with case study illustration. Through the analysis and feature extraction of off-line...
This paper presents the modeling, simulation of a double-stage evaporation process to obtain Bioethanol from sugarcane juice; the model was validated with data from a plant located in Peru. So is the calculation of a Nonlinear Control and optimization following the Extended Prediction Self-Adaptive Control approach, because it has less computational load. The results achieved the control of juice...
MBD technology is capable of integrating all the information of the design and process technology into the product 3D model. But in the MBD mode, the complex product has massive information, and its structure is extremely complicated. Generally, the existing methods for complex product information modeling have some limitations. By considering that, this paper proposed an F-B-S-F-I framework model...
Software and methodological tools of building and conversions of an information object describing a complex of project and production operations on creation of the complex technical system are considered. Information is ordered on the basis of design or technological dividing of an object of production according to the developed model of the combined workflow describing causes and effect relationships...
The South African industrial sector is under significant financial pressure and need to reduce production costs to remain competitive in the global and local market. Some steel plants use reheating furnaces to reheat materials before hot rolling. These furnaces use industrial fuel gases as an energy source. Process by-product and purchased gases can be used as fuel. Inefficiencies in gas distribution...
This paper presents an economic optimization case study for a medium-scale hybrid PV-battery system. PV energy yield and battery operation models based on hourly satellite insolation and daily temperature data form the basis of an underlying objective function aiming to maximize the net present value of potential energy cost savings. Forecasted system prices and energy tariffs over a nine-year period...
By using the co-integration analysis technique and Granger causality test method, this paper conducts empirical analysis of export and economic growth in Central Jiangsu Region. The result shows that there is a co-integration relationship between export and economic growth in Central Jiangsu Region, but export growth is not the main cause of economic growth. In accordance with this result, efforts...
Flotation is a physical process to separate the useful mineral and gangue using the hydrophilicity or sparseness of the mineral itself or that from chemicals effects. Because of the non-linear, strong coupling, multivariate and time delay, it is hard to establish the quite accurate and effect model of flotation process, thus this paper proposes the application of model free adaptive control in flotation...
Sequential data generated from various sources in a multi-mode industrial production system provides valuable information on the current mode of the system and enables one to build a model for each individual operating mode. Using these models in a multi-mode system, one may distinguish modes of the system and, furthermore, detect whether the current mode is a (normal or faulty) mode known from historical...
The results of the fixed-effect model of panel data statistical analysis for the national development zones in Hubei province showed that the production function of was increasing returns to scale, the output elasticity of land and fixed assets investment were similar but far less than labor. Based on the comparative analysis of the eight economic indicators of efficiency of land during 2007 to 2014,...
Group Special Mobile Association (GSMA) has set a new standard related to embedded Subscriber Identity Module (e-SIM) technology. The application of these technologies aim to support the needs of new services such as Machine to Machine (M2M) and Internet of Things (IoT). Currently several smart phone manufacturers such as Apple and Samsung start to implement the technology to their products. Provisioning...
In this work, we present a monitoring system for Self-Organizing Industrial Systems (SOIS). It is based on an anomaly detection approach which evaluates the movement of objects within a factory by putting them together from sub-trajectories. By introducing two metrics — relative user frequency and pathlet occurence per user — the existing method is extended so that not only anomalous trajectories...
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