Colour Recognition Algorithm Based on Colour Mapping Knowledge for Wooden Building Image

In the cross-media image reproduction technology, the accurate transfer and reproduction of colour between different media are an important issue in the reproduction process, and the colour mapping technology is the key technology to effectively maintain the image details and improve the level of colour reproduction. Wooden structure in the image colour and colour piece is different, the image of each colour of visual perception is not independent, and every colour in the image pixels is affected by the surrounding pixels, but in the process of image map, without thinking of the pixel space, adjacent pixels of mutual influence in particular, do not let a person particularly be satisfied with the resulting map figure. In the process of image processing by traditional colour mapping algorithm, the colour distortion caused by colour component is ignored and the block diagram of colour mapping system is constructed. With the continuous development of mapping recognition algorithms, the maximum and minimum brightness values in the image are mapped to the maximum and minimum brightness values of the display device by linear mapping algorithm according to the flow of the established recognition algorithm. By establishing the colour adjustment method of the colour mapping image, the processing effect of the mapping algorithm is analysed. The results show that the brightness deviation of the image is reduced and the colour resolution is improved by the colour brightness compensation.

Geographic Information System Mapping Potential of E-Market in Pandemic Period

Changes in people's mindsets in obtaining accurate information are influenced by the rapid advancement of information technology. Currently, one of the most widespread applications of technology is in the field of mapping. Mapping technology is widely used to simplify important tasks. The most widely used mapping technology today is geographic information systems. Geographic Information System (GIS) is a mapping technology trend in the form of computerized information systems designed to work with spatial references. In the current pandemic period, buying and selling products offered are difficult to carry out due to restrictions on social interaction between communities, making it difficult for SMEs to sell their products. The development of information technology, especially the internet, can certainly be used as a medium to overcome these problems. The existence of a website-based information system is intended to support marketing, especially in providing detailed product and price information to consumers. The presence of the COVID-19 pandemic has changed the world with unprecedented challenges and has had a huge impact on daily human activities, resulting in a worsening of the global economy. The COVID-19 pandemic is currently entering its second year, requiring daily activities to be carried out from home. The emergence of the COVID-19 pandemic has also caused business owners to feel a very real decline. In such conditions, a web-based communicative information system is needed, from which it is hoped that problem solving, especially the provision of information about the superior products of SMEs, is needed.

OptiDiff: structural variation detection from single optical mapping reads

Detecting structural variation (SV) in eukaryotic genomes is of broad interest due to its often dramatic phenotypic effects, but remains a major, costly challenge based on DNA sequencing data. A cost-effective alternative in detecting large-scale SV has become available with advances in optical mapping technology. However, the algorithmic approaches to identifying SVs from optical mapping data are limited. Here, we propose a novel, open-source SV detection tool, OptiDiff, which employs a single molecule based approach to detect and classify homozygous and heterozygous SVs at coverages as low as 20x, showing better performance than the state of the art.

Surgical Robotics Systems for Deep Brain Neurosurgery

Robotics systems designed for surgical applications such as Neurosurgery, likely may need to implement synchronous communication in real time and asynchronous learning. It will likely primarily be oriented towards spatial imaging and 3D virtualization, various communication protocols, and calibration settings in order to perform optimal results. In regards to computation, it needs to be heavily fault tolerant in operation. It also needs to be aware of false positives. Likely a complex deep brain surgical robotics system would implement variations of brain mapping technology and may utilize topological neuroanatomy. Various technologies in regards to the mapping of the brain, visualization, robotics and mechatronics systems would need to be in place. This paper is to look at the sciences through a theoretical and conceptual process. This isn’t FDA reviewed for medical accuracy and is meant to warrant a theoretical paper where information is “as-is”. This will hopefully provide a blueprint for continuing research later on.

Surgical Robotics Systems for Deep Brain Neurosurgery

Robotics systems designed for surgical applications such as Neurosurgery, likely may need to implement synchronous communication in real time and asynchronous learning. It will likely primarily be oriented towards spatial imaging and 3D virtualization, various communication protocols, and calibration settings in order to perform optimal results. In regards to computation, it needs to be heavily fault tolerant in operation. It also needs to be aware of false positives. Likely a complex deep brain surgical robotics system would implement variations of brain mapping technology and may utilize topological neuroanatomy. Various technologies in regards to the mapping of the brain, visualization, robotics and mechatronics systems would need to be in place. This paper is to look at the sciences through a theoretical and conceptual process. This isn’t FDA reviewed for medical accuracy and is meant to warrant a theoretical paper where information is “as-is”. This will hopefully provide a bleuprint for continuing research later on.

A novel cache based on dynamic mapping against speculative execution attacks

The Spectre attacks exploit the speculative execution vulnerabilities to exfiltrate private information by building a leakage channel. Creation of a leakage channel is the basic element for spectre attacks, among which the cache-tag side channel is considered to be the most serious one. To block the leakage channels, a novel cache applies Dynamic Mapping technology, named DmCache, is presented in this paper. DmCache applies a dynamic mapping mechanism to temporarily store all the cache lines polluted by speculative execution and keep invisible when accessing. Then it monitors the head of the reorder buffer to determine which polluted cache line can become visible. In this paper, we demonstrated that Spectre attacks exerted no impact on a processor system equipped with DmCache based on the analysis of the processor’s circuit behaviour, which equipped with the DmCache and under the Spectre attack.

Mangrove Vegetation Mapping Using Sentinel-2A Imagery Based on Google Earth Engine Cloud Computing Platform

Mangroves are trees whose habitat is affected by tides, and their presence has decreased from year to year. Today, mapping technology has undergone many developments, including the availability of images of various resolutions and cloud-based image processing. One of the popular platforms today is the Google Earth Engine. Google Earth Engine is a cloud-based platform that makes it easy to access high-performance computing resources for extensive processing. The advantage of using Google Earth Engine is that users do not have to be IT experts without experts in application development, WEB programming, and HTML. This study aims to conduct a study on mangrove mapping in Gili Genting District with Sentinel-2A imagery using a Google Earth Engine. This location was chosen since there are still many mangroves, especially on the Gili Raja and Gili Genting Islands. From this research, it can be concluded that cloud computing-based Sentinel-2A image processing shows that the vegetation value of NDVI results ranges from -0.923208 to 0.75579. The classification results show that mangrove forests' overall presence on Gili Genting Island is more expansive than Gili Raja Island with 16.74 ha and 14.75 ha. The use of the Google Earth Engine platform simplifies the analysis process because image processing can be done once with various scripts so that analysis becomes faster.

THE FREQUENCY OF USE OF EEG AND NEUROFEEDBACK IN SPORT, SYSTEMATIC REVIEW

Increasing athlete performance is an eternal challenge in the world of sports. The success of the training work performed can be checked by performance diagnostics. Proper brain processing is essential for skill learning and the implementation of effective motor performance. It was important for brain mapping technology to improve the capabilities of imaging devices in order to measure cognitive-motor performance in the field. The primary purpose of this review was to summarize the frequency of applications of EEG and its associated neurofeedback in sport. Examine the differences and characteristics of protocols. Assess whether there is this uniform, standardized protocol for each sport and how often it is used among both elite and amateur athletes. Electroencephalography was initially used most in sports in which the stable setting was followed by only minimal movement. These include sport shooting, archery and golf and baseball. Later, it was possible to analyze more complex movements with EEG, such as cycling. One of the most commonly used techniques is neurofeedback training, but despite some research on the topic, the arena of neurotechnology in sports psychology still exists in its rudimentary form and is constrained by a plethora of technological problems.