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This paper evaluates the growth of microbes in chilled beef using Artificial Neural Networks (ANN) method, which is implemented by Matlab 7.0 programming. ANN with three-layer is applied to predict the parameters of the modified Gompertz Model as a secondary model. Thus the bacterial growth curve under different packaging and storage conditions could be predicted through the learning processing of...
Our previous work on electronic nose (E-nose) could effectively detect several major foodborne pathogens, which was based on principle component analysis (PCA) and cluster analysis (CA) method. But these methods could not identify two strains of Listeria Monocytogenes, which had the serotypes of 4b and 4c respectively. To resolve this problem, we proposed artificial neural network method which could...
This paper aims to study the application of expert system combined with neural network in Intrusion Detection System. It brings improvement to BP algorithm of neural networks, meanwhile a series of rule sets have been created using the experience and knowledge from experts, scholars as well as professional forecasters. This benefits the simulation of human expert reasoning of the decision-making process...
A fuzzy clustering recognition method is proposed to identify cells from sliced marrow cell image. In our image processing, leukocytes can be distinguished against other cells like red cell, megakaryocyte, and cytoplasm. The leukocytes can be further distinguished into promyelocyte, myelocyte or metamyelocyte. Probably the ratio of the counts of these three kinds of leukocytes can be used as the indication...
This paper presents a new system to automatically recognize fishes based their digital pictures. The system follows the requirement of SOA (Service Oriented Architecture) in order to provide a self-service platform for public. The system provides services like the training mode, the recognition mode, and the consulting mode. These services can be deployed onto various application servers at different...
To develop a quick obstacle detection algorithm for the image-based autonomous vehicle (AV) or computer assisted driving system, this paper presents a real-time method for road barriers recognition and obstacle height calculation. It adopts two similar cameras with different pitch angles, which can perform real-time monitoring for the front area of the vehicle with different coverage areas. The vehicle...
A new method to efficiently get fish count using digital picture and fuzzy artificial neural network is presented. The new method can handle overlapped fishes, as well as different sized fishes. The intelligent window over the digital picture based on neural network feedback is used to partition the picture into different level of grid and each grid data is treated as the input for the network. Multiple...
To develop a quick detection algorithm for the image-based autonomous vehicle (AV) or computer assisted driving system, this paper proposes a real-time object detection method using two coordinated cameras. The mapping between two simultaneous images from the two cameras and coordination of the virtual sensitive areas can be resolved using parameters like the camera shot angle, the camera focal length,...
This paper presents the image recognition results using the proposed HDM (Hybrid Differential Method) and its turn point. Derivative of HDM results are taken to analyse the point-symmetric feature of the match point. The results are discussed to determine creteria if the pattern match is found or not. The method is applied to search a specific image from a bigger target picture. The results show that...
This paper presents a new method to define and obtain morphological ontology features for carp using its digital images. Currently there are some works that defines the ontological knowledge base, all of these works are based on the classification catalog and expert experiences, these methods use interactive human input to construct the knowledge base. Our new method will be based on digital photograph...
This paper presents a new method to automatically obtain fish ontologies using its digital pictures and pattern recognition. The geometric ontologies are used to identify the fish type. Silver carp is used as an example to be compared with common carp and snakehead fish. This research is the pioneer of automatic fish ontology definition and fish recognition, and proves the effectiveness to use geometric...
This paper presents the image recognition comparison between the proposed HDM (Hybrid Differential Method) and the commonly accepted PCA method. Both methods are applied to search a specific image from a bigger target picture. The results show that HDM has multiple advantages over PCA when applied to image searching, like considerably less time consumed, better recognition rate when the background...
This paper presents a new method based on template recognition and fuzzy recognization. HDM (Hybrid Differential Method) is used to locate the teeth area from a face image, and fuzzy recognition is used to decide if a new teeth image belongs to the face image. 5-6 times of training is done to build up teeth feature set. A relative simple tooth feature-the lower part width of central incisor and their...
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