One approach of navigating agricultural robots to perform different kinds operations such as weeding, spraying and fertilizing is using a machine vision based row detection system. A new method for robust recognition crop rows presented. First, image pre-processing was used obtain the binarization image; second, divided into several segments, which created less data points while still reserved information rows; third, vertical projection presented estimate position strips; last were detected...

An automatic guidance model based on machine vision for detection and localization of crops rows is presented. The system consists a color video camera computer. mounted the head directly above robot as navigation sensor. When agricultural mobile goes forward, captures images continuously transferred to First, pattern recognition image processing were used obtain quasi baseline. Second, real line was extracted from baseline via Hough Transform. Then can be guided by matching dynamically...

Data quality is quite significant for management information systems in all fields. However, various data problems, from spelling mistakes to complex inconsistencies semantics, penetrate over into the systems. The purpose of cleaning detect and eliminate dirty improve quality. problems current research results are summarized. In terms systems, a universal framework based on user model proposed.

In a machine vision-based autonomous navigation system for agricultural field mobile robot, obtaining guidance information from crop row structure is the key in achieving accurate control of robot. This paper presents new method robust recognition plant rows based on Hough transform. It used camera to find path structured fields automatically navigate robot following rows. Firstly, calibration was applied obtain relationship between image coordinates and world coordinates. Secondly, pattern...

Detecting lines from a digital image is very important in processing. An efficient line detection based on randomized method presented. Different the previous HT (Hough Transform) - methods which vote parameter space, this algorithm does not need an accumulator for representing space. The main concept proposed is: firstly, it selects two different edge points to form candidate line; secondly, under given distance tolerance, strip region along direction can be got, then number of determined...

For an apple harvesting robot, the machine vision system is a very important part which used to recognize and locate apples. In this paper, automatic recognition method based on image processing technology developed for robot. Firstly, 2R-G-B grey value transform performed, adaptive threshold Otsu algorithm segmentation. Then, series of morphological operations are adopted eliminate noise, edge detection utilized obtain edges. Finally, optimized Hough presented Experimental results indicate...

The purpose of visual-semantic embedding is to respectively map image and text a common space perform cross-modal semantic alignment learning. Image-text matching also the main research content visual embedding. Existing researches have confirmed that in embedding, simple pooling strategy can achieve good performance. However, existing strategies (aggregators) generally some problems, including adding additional training parameters, increasing time, ignoring intra-modal semantic-related...

Agricultural image segmentation is the basic work of computer vision technology in agriculture. This paper presents an process method based on color characteristic. The algorithm separates crop area from soil background according to feature, which got by analyzing difference between and background. In order translate images gray ones effectively, fourth different transformation methods RGB space three components HSI were compared. Test results show that excess green 2G-R-B best index for...

Total Data Quality Management (TDQM) methodology claims that we should manage data as products, but principles, guidelines, and techniques of for physical products have limitations in TDQM practices because the nature data. Some concepts models are proposed resolving problems practices. Firstly, history evolvement product is discussed, will be sign information age just maching electric electron software do. So, many advanced theories methods being used improving other products' quality coud...

<title>Abstract</title> Text-driven image style transfer methods offer users intuitive control over artistic style, bypassing the need for reference images. However, traditional approaches face challenges in maintaining content structure and achieving realistic stylization. In this paper, we present a novel multi-channel correlated diffusion model text-driven transfer. By leveraging CLIP to guide generation of learnable noise introducing correlation diffusion, along with refining channels...

With the fast development of information technology, more and multimedia technologies are widely used in different fields education. This paper introduces an optimal course system by using technology teaching biostatistics. The is composed situational teaching, Computer-Assisted Instruction (CAI), network interactive teaching. aims to reform traditional enhance quality effect Compared mode, diversified methods students' learning interest, deepen understanding content strengthen student's...

Camera calibration is a fundamental task in photogrammetry and computer vision. This paper presents an approach for geometric of digital cameras. The mapping relation between the image coordinate world can be described by polynomial. coefficients ranks polynomial are computed minimal 6 corresponding points two systems. method calibrate camera directly without calculating camera's intrinsic parameters extrinsic parameters, which decreases complexity calculation. Experimental results show...

In this paper, we present a statistical analysis of traffic features at the packet level.We show that all demonstrate similar approximately power-law distribution for different time and interval minute scale except size.We observe feature entropy independent symbols number fixed packets are relatively stable in short interval, which is very useful anomaly detection.

To meet the social development, bilingual teaching model is gradually introduced in undergraduate for computer science specialty. Firstly, importance of creation "Java Programming Language" was analyzed; secondly, teachers training, materials selection, CAI courseware preparation, experiments instruction, and assessment methods were discussed respectively; finally, issues proposals put forward during process teaching.

This paper addresses the prediction for moving objects when motions of having some associations. In real world, often have associations with other objects. Unfortunately, existing techniques are designed single independent object, and ignore between firstly defines an association pattern based model, which uses patterns to predict trajectory objects, then presents Association Pattern Prediction algorithm (APP algorithm) Theoretical analyses results show that, APP has good efficiency predicting

In large telecommunication network management system, substantial data containing the information of traffic, element status, device running situation and all other messages are continuously sent from each special system to integrated system. This kind is typically stream data. Current employs traditional database technology store process such However, managed grows larger over time, cumulates, too. The disadvantages current gradually show up. Stream usually arrives often high speed amount....

This paper studies a strategic game between defender and an attacker. In particular, the distributes resources in deploying false targets, protecting genuine target, launching preventive attack. The attacker his own base from potential attack attacking defender's target. As extension to existing studies, time, other than efforts, is considered as important factor which affects players' strategies. addition, compared with traditional methods, both players their decisions on cumulative...