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Small Data Analysis for Bigger Data Analysis
The terms “data science” and “big data” become very popular these days. Importance of these concepts are popularly recognized mainly due to the success of AI technologies. Especially, machine learning (ML) technologies such as deep learning have been ...
Parameter Optimization on Spark for Particulate Matter Estimation
With the rapid growth of remote sensing satellites, the volume of remote sensing data has been continuously increasing, which makes it necessary to utilize the big data platform for the rapid practical application of remote sensing inversion algorithms. ...
Application of MobileNet-v1 for Potato Plant Disease Detection Using Transfer Learning
Infectious diseases have troubled farmers continuously by spreading throughout crops. Thus, a proper identification of such disease is obligatory for the timely treatment which can save the money and efforts of small-scale farmers. The recent ...
Charging Planning of Electric Vehicle Manager Based on Price Demand
The charging technology of electric vehicles has always affected the development of electric vehicles. If you want to use electric vehicles to provide travel services like fuel cars, electric vehicle service providers must consider the charging problem ...
Biofeedback in the Dynamic VR Environments:: A Method to Evaluate the Influence of Architectural Elements on Human Spatial Perception
Contemporary architecture design is featured by human-oriented. Getting the users’ feedback of schemes thus to optimize their positive interactions with spaces is essential to increase designs’ quality and attraction. However, uncovering users’ true ...
Cost-Efficient Scheduling of Workflow Applications with Deadline Constraint on IaaS Clouds
Nowadays, the vast majority of workflow applications are deploying on clouds for fast execution. Meanwhile, the market-oriented and price-driven characteristics of cloud computing make cost become a factor that cannot be ignored and challenge ...
Research on Dynamic Range Analysis and Improvement of Imaging Equipment
This paper proposes a dynamic range model and algorithm that analyzes several key factors that affect the dynamic range of imaging equipment. Through this model and algorithm, we analyze several modules that affect the dynamic range of the system, ...
Data Guidance to Precision Marketing of Featured Agricultural Products: Taking the Market Demand of Calcium Fruit in Shenfu Area as an Example
To promote the information sharing of orders, production capacity and channels, and support core enterprises to play the synergistic linkage role of information flow on upstream and downstream, production, supply and marketing, with the advocation and ...
Collaborative Knowledge Construction Process Model Based on Internet+
With the rapid development of computer technology, human society is entering the era of knowledge society and information technology, so education is facing great challenges. The concept and practice of education need to be innovated, the knowledge ...
A Novel Ensemble Reinforcement Learning Gated Recursive Network for Traffic Speed Forecasting
Traffic speed forecasting is one of the important issues in the intelligent transportation system, which is related to traffic management planning. The existing studies tend to use single models to forecast the traffic speed, and cannot completely ...
DL-Based Joint CSI Feedback and User Selection in FDD Massive MIMO
In the multiuser multiple-input multiple-output (MU-MIMO) system, to reduce the influence of channel correlation on system performance, the base station (BS) should select the appropriate subset of user equipments (UEs) according to their channel state ...
Artificial Intelligence and Its Self-Consciousness
Recently, the question of whether machine can have its “self-consciousness” has become a focus being concerned and thought of. e Researches on machine consciousness or artificial consciousness, has gradually become a hot spot in the field of artificial ...
Research on Intelligent Infrared Inspection Device Based on Edge Computing
The intelligent power system has developed rapidly in recent years. In face of the shortcomings of the existing infrared thermal imager in power inspection, an intelligent power infrared inspection device based on edge computing is developed. The ...
An Experimental Study on the Core Autonomous System of Internet
With the continuous development of the Internet, the structure of the network has also undergone great changes. The Internet is gradually flattening, and the links between autonomous systems are increasing. Many autonomous systems realize direct ...
Opportunities and Challenges of Marketing in the Context of Big Data
In the era of big data, under the conditions of rapid economic development in our country, various enterprises have also vigorously carried out marketing. In the context of big data, marketing research should be strengthened to effectively improve ...
Integration of Multiple-Modality Sensor Data and Artificial Intelligence
Multimodal perception is not only an important ability of human intelligence, but also one of the essential differences between human intelligence and artificial intelligence. With the rapid development of sensor technology, artificial intelligence ...
IR-FF-kNN: Image Retrieval Using Feature Fusion with k-Nearest Neighbour Classifier
Presence of inconsistency in the visual appearance of image tends to degrade the retrieval process performance. Increasing image data across several domains encourages to explore visual information of image representation to simplify the interpretation ...