On Cell Detection System with User Interaction

2017 ◽  
pp. 195-206
Author(s):  
Yoshitaka Maeda ◽  
Yasunori Endo ◽  
Sho Sanami
Keyword(s):  
Detection System ◽  
User Interaction ◽  
Cell Detection

Usage of Broadcast Messaging in a Distributed Hash Table for Intrusion Detection

2011 ◽  
pp. 77-93
Author(s):  
Zoltán Czirkos ◽  
Gábor Hosszú
Keyword(s):  
Intrusion Detection ◽  
Intrusion Detection System ◽  
Detection System ◽  
High Reliability ◽  
Hash Table ◽  
User Interaction ◽  
Overlay Network ◽  
Peer To Peer ◽  
Transport Layer ◽  
Distributed Hash Table

In this chapter, the authors present a novel peer-to-peer based intrusion detection system called Komondor, more specifically, its internals regarding the utilized peer-to-peer transport layer. The novelty of our intrusion detection system is that it is composed of independent software instances running on different hosts and is organized into a peer-to-peer network. The maintenance of this overlay network does not require any user interaction. The applied P2P overlay network model enables the nodes to communicate evenly over an unstable network. The base of our Komondor NIDS is a P2P network similar to Kademlia. To achieve high reliability and availability, we had to modify the Kademlia overlay network in such a way so that it would be resistent to network failures and support broadcast messages. The main purpose of this chapter is to present our modifications and enhancements on Kademlia.

New Opportunities for Colorectal Cancer Diagnostics Using an Optical Cell Detection System Based on Dielectrophoresis

2019 ◽  
Vol 126 (5) ◽  
pp. 568-573 ◽  
Author(s):  
M. V. Kruchinina ◽  
Ya. I. Prudnikova ◽  
A. A. Gromov ◽  
V. M. Generalov ◽  
K. V. Generalov ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Detection System ◽  
Cancer Diagnostics ◽  
Cell Detection ◽  
Optical Cell

Development and Preliminary Clinical Application of Circulating Tumor Cell Detection System for Prostate Cancer

2019 ◽  
Vol 15 (3) ◽  
pp. 612-620 ◽  
Author(s):  
Chengsong Cao ◽  
Qun Wang ◽  
Qing Li ◽  
Qingqing Zhao ◽  
Jun Qi Wang ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Tumor Cell ◽  
Clinical Application ◽  
Detection System ◽  
Circulating Tumor Cell ◽  
Cell Detection ◽  
Tumor Cell Detection

COLORECTAL CANCER CELL DETECTION BY FOLIC ACID-CONJUGATED CHITOSAN NANOPARTICLES

2010 ◽  
Vol 22 (01) ◽  
pp. 9-17
Author(s):  
Shu-Jyuan Yang ◽  
Jian-Wen Chen ◽  
Fang-Huei Lin ◽  
Tai-Horng Young ◽  
Pei-Jen Lou ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Folic Acid ◽  
Detection System ◽  
Indigo Carmine ◽  
Acetic Acid Solution ◽  
Chitosan Nanoparticles ◽  
Color Contrast ◽  
Cell Detection ◽  
Common Diagnosis ◽  
Cancer Cell Detection

The endoscopy is a common diagnosis method for the detection of colorectal cancer and there are two methods to improve the diagnostic sensitivity. One is chromoendoscopy, and the other is magnifying endoscopy. Color contrast dye, such as indigo carmine, usually is sprayed on the surface of the intestine and can accumulate in the pits and crevices of the mucosa to enhance the identification of the lesion. However, this color contrast dye does not have target-specific and local-retention properties. For these reasons we encapsulated indigo carmine into chitosan nanoparticles (CNIC) by the ionic gelation to increase the retention time on intestine surface, and conjugated folic acid with chitosan nanoparticles (fCNIC) to target specifically adenomatous polyps. The size and zeta potential of CNIC and fCNIC measured by transmission electron microscope and zetasizer were both at the range of 120–140 nm and 20 mV respectively. The loading efficiency of indigo carmine in fCNIC was in the range of 60–70% and depended on the concentration of acetic acid solution used to dissolve chitosan and folic acid–chitosan conjugates and folic acid conjugation percentage. Bioassy results of fCNIC targeting to HT-29 colon cancer cells revealed that the prepared particle with high folic acid conjugation had a better adhesion effect. These results implied that fCNIC with high folic acid conjugation could serve as an ideal vector for a colon-specific targeting system. According to this concept, we designed a novel detection system to enhance the accuracy of endoscopic diagnosis for colorectal cancer.

Lens-free automated cell detection system for telemedicine application

2015 ◽  
Author(s):  
Mohendra Roy ◽  
Dongmin Seo ◽  
Yongha Hwang ◽  
Jaewoo Kim ◽  
Kiyoung Ann ◽  
...  
Keyword(s):  
Detection System ◽  
Cell Detection ◽  
Telemedicine Application

scholarly journals Detection of Various Neoplasm’s in Medical Images Using Edge Detection and Neural Network

2019 ◽  
Vol 8 (11) ◽  
pp. 59-62
Keyword(s):  
Neural Network ◽  
Brain Tumor ◽  
Detection System ◽  
Probabilistic Neural Network ◽  
The Body ◽  
Internal Cavity ◽  
Cell Detection ◽  
The People ◽  
Abnormal Cells ◽  
Occurrence Matrix

Brain tumor is one in all the extraordinary illness causes death among the people. Neoplasm is associate unconfined expansion of tissue in any neighborhood of the body. During the process have a tendency to tend to stand live taking man photos as input; resonance imaging that is guided into internal cavity of brain and offers the entire image of brain. In this paper brain tumor detection system is proposed. Here bunch methodology supported intensity was enforced. The Probabilistic Neural Network square measure used to identify the various levels of tumor like Malignant, Benign or traditional. PNN with Radial Basis are used for classification and segmentation of cells. In order to classify the normal or abnormal cells, proper decision need to be taken. This could be done in 2 levels: Gray-Level Co-occurrence Matrix and the classification are performed based on Neural Networks. The tumor cell detection is manually performed by the schematic methodology for X-radiation.

scholarly journals Solar Powered Automatic Pattern Design Grass Cutting Robot System Using Arduino

2019 ◽  
Author(s):  
Dost Muhammad Khan ◽  
Zain Mumtaz ◽  
Majid Saleem ◽  
Zeeshan Ilyas ◽  
Qinglu Ma ◽  
...  
Keyword(s):  
Mobile Application ◽  
Large Scale ◽  
Detection System ◽  
User Interaction ◽  
Noise Pollution ◽  
Obstacle Detection ◽  
Robot System ◽  
Pattern Design ◽  
Public Park ◽  
Solar Powered

We present an Arduino-based automatic robotic system which is used for cutting grass or lawns, mostly healthy grass which needs to cut neatly like in a public park or a private garden. The purpose of this proposed project is to design a programmable automatic pattern design grass cutting robot with solar power which no longer requires time-consuming manual grass-cutting, and that can be operated wirelessly using an Android Smartphone via Bluetooth from a safe distance which is capable of cutting the grass in indeed required shapes and patterns; the cutting blade can also be adjusted to maintain the different length of the grass. The main focus was to design a prototype that can work with a little or no Physical user interaction. The proposed work is accomplished by using an Arduino microcontroller, DC geared Motors, IR obstacle detection sensor, motor shield, relay module, DC battery, solar panel, and Bluetooth module. The grass-cutting robot system can be moved to the location in the lawn remotely where the user wants to cut the grass directly or in desired patterns. The user can press the desired pattern button from the mobile application, and the system will start cutting grass in the similar design such as a circle, spiral, rectangle, and continue pattern. Also, with the assistance of sensors positioned at the front of the vehicle, an automatic barrier detection system is introduced to enhance safety measurements to prevent any risks. IR obstacle detector sensors are used to detect obstacles, if any obstacle is found in front of the robot while traveling; it avoids the barrier by taking a right/right turn or stop automatically appropriately, thereby preventing the collision. Also, the main aim of this project is the formation of a grass cutter that relieves the user from mowing their own grasses and reduces environmental and noise pollution. The proposed system is designed as a lab-scale prototype to experimentally validate the efficiency, accuracy, and affordability of the systems. The experimental results prove that the proposed work has all in one capability (Simple and Pattern based grass cutting with mobile-application, obstacle detection), is very easy to use, and can be easily assembled in a simple hardware circuit. We note that the systems proposed can be implemented on a large scale under real conditions in the future, which will be useful in robotics applications and cutting grass in playing grounds such as cricket, football, and hockey, etc.

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