CNIOT

In recent years, with the rapid growth of car ownership, Chinese road traffic conditions have changed a lot. Governments, enterprises, and the public are increasingly finding that the increasing deviation between the actual fuel consumption and the ...

The purpose of this paper is to outline and summarize the latest technology on UAV security. This is driven by the growing market share represented by the technology. A silent yet vital revolution is happening: UAVs are becoming cheaper and more widely ...

Spatial Division Multiplexing (SDM) technology exploits information transmission in spatial dimension in addition to temporal dimension to improve frequency utilization and enlarge transmission capacity. Dynamic adjustment of antenna direction according ...

The next generation wireless networks (NGWNs) of a base station (BS) with ultra-high dense user equipment's deployment are studied. To extend the coverage area and increase the spectrum efficiency and energy efficiency of the ultra-high dense wireless ...

Visual SLAM is becoming a hot spot mobile robot navigation. When executing SLAM tasks, traditional robots have many shortcomings, Huge data processing and computing tasks, which consumed much storage and computing resource. There is a high demand for ...

After AlphaGO defeated the world Go champion Li Shishi in early 2016, the entire industry was excited about it. More and more scholars realized the importance of deep reinforcement learning [1] in the field of artificial intelligence. In addition, ...

A Lot of documents in many organizations from companies to governments are shared on on-premise storage or clouds. And some of those documents may contain sensitive information such as names, social security numbers, addresses and so on. Especially a ...

GPU-accelerated computing is becoming a popular technology due to the emergence of techniques such as OpenACC, which makes it easy to port codes in their original form to GPU systems using compiler directives, and thereby speeding up computation times ...

The examination of the lungs is an important part of the annual physical examination. There are hundreds or thousands of cases in the physical examination, and each case contains many lung cross-sectional CT images. These all require professional ...

In the modern world, people face an explosion of information and difficulty finding the right choice for their interests. Nowadays, people prefer online shopping for their needs. Recently, the recommender system has become one of the key technology for ...

Drawing is an important fine motor activity, and school-age children are at an ideal age for developing fine motor skills. This study investigated the development of primary school children's kinematic skills in drawing using a three-dimensional force-...

Design of an intelligent refrigeration management system using artificial intelligence and Internet of Things (IoT) technology is presented in this paper. This system collects the real-time temperature inside the refrigeration implement, record the ...

Soil is of great importance to agriculture, especially the moisture and nutrients in the soil are the essential ingredients for growing plants and crops. Therefore, benefits and importance of a soil moisture and nutrient monitoring system in modern ...

People with health conditions such as dementia often face problems sleeping, experience wake-rest routine changes and suffer from emotional disturbances amid sleep disorders. Caregivers, such as family members, of dementia sufferers face great challenge ...

Smart home barrier system is proposed and designed to keep people safe at home, especially for kids and pets. In this paper, working prototype of Internet of Things (IoT) enabled smart automatic door or barrier system is presented, where two models ...

This article introduces development of a system that monitors indoor air quality by using Internet of Things (IoT) technology. The objective of this system is to monitor and improve indoor air quality automatically, i.e. with minimum human intervention. ...

Crowd stability is a research hotspot in the area of emergency management, while crowd density is the most direct and effective basis for crowd stability analysis. Therefore, it is significant to study the trend of crowd density and make some reliable ...

Multi-band video fusion can synthesize the advantages of different band-images, which is widely used in military, anti-terrorism, search and rescue fields. The accuracy of image registration affects the quality of image-video fusion. The high precision ...

Currently, recommender systems are used in almost all online applications. A lot of algorithms have been proposed to predict user's preference including content filtering, collaboration filtering and hybird model. Traditional hybrid recommender system ...

Dynamic pedestrian grouping is a significant issue in the field of crowd flow control, also a research hotspot in the field of computer vision and artificial intelligence. While it is difficult for a conventional pedestrian grouping model to identify ...

Indoor logistics between machining centers is significant to deliver the work-pieces or components just in time a workshop. However, the existing of order disturbance caused by rush order inserting problem, the opaqueness of work in process (WIP) and ...

Online shopping websites throughout the world are increasing at an immense pace. Most of these websites are focused on search engines that tend to be based mainly on the information base and utilize matching keywords to find related products. However, ...

Image feature extraction using convolution neural network has been widely used in face recognition and other image recognition problems.A face recognition algorithm based on improved multi-scale convolutional neural network is proposed in this paper. ...

Nowadays, millimeter-wave radars have gradually moved into people's sight due to their high frequency band, large signal bandwidth, and ability to distinguish targets. 24GHz vehicle millimeter-wave radar is researched as the target in this paper. The ...

With the rapid development of urbanization, urban ecological construction gets more and more attention from urban management departments. Most ecological effort in urban areas are derived from trees, whose inventory are essential component of urban ...

In the realm of Compressed Sensing (CS), Orthogonal Matching Pursuit (OMP) algorithm is widely acknowledged. The generalized Orthogonal Matching Pursuit (gOMP) algorithm is an improved OMP approach. However, it demonstrates low reconstruction accuracy ...

In this paper, an effective communication system is designed for an underwater optical communication system, combined with an autoencoder (AE) in deep learning, using the AWGN channel, and considering the attenuation caused by underwater scattering and ...

Recent years have witnessed great advances in image classification due to the availability of high-volume data and the development of deep neural networks. Nevertheless, the classification performance strongly depends on abundant training samples for ...

In order to reduce the interference perspective changes and nonlinear deformation caused by camera shooting, we proposed an approach based on HWT-IQA and DSP-SIFT to realize image matching in book retrieval. Extensive experiments are conducted with ...

In view of the existing shortcomings of super-resolution that data fidelity term in MAP framework obtained from L1, L2 and other norm functions and super-resolution total variation (TV) or bilateral total variation (BTV) for regularization, Tukey norm ...