Search Results - (( programming using blue algorithm ) OR ( java application reoptimize algorithm ))

A new domain specific scripting language for automated machine learning pipeline by Masrom, S., Rahman, A.S.A., Omar, N., Baharun, N.

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Implementation of hashed cryptography algorithm based on cryptography message syntax by Ali, Mohammed Ahnaf

“…The problematic message uses light blue representation in simulation. The sent message uses the red color representation in the simulation. …”
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Development of mobile robot controlled by android phone via Bluetooth by Wan Idris Najaran, Wan Nur 'Amirah

“…It is programmed to implement the movement algorithm of this robot.…”
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Development of mobile robot controlled by android phone via Bluetooth: article by Wan Idris Najaran, Wan Nur 'Amirah

“…It is programmed to implement the movement algorithm of this robot.…”
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Optimized electric power distribution via genetic algorithm based estimation / Otonye Ene Ojuka ... [et al.] by Ojuka, Otonye Ene, Wokoma, Biobele Alexander, Bala, Tekena Kashmony, Kinba, Queen Blue-Jack, Tamunobelema, Asime

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TELE-OPERATED ROBOT USING VC PROGRAMMING PROTOCOL by Hasbi, Ahmad Farhan

“…The development stages are comprised of structure and mechanism construction, electronic circuit development and programming algorithms generation. The tele-operated robot functions as a transporter. …”
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Optimizing fertilizer compounds for pineapple production using the goal programming approach / Farzana Mohd Ezan … [et al.] by Mohd Ezan, Farzana, Shafii, Nur Hanani, Juani, Nurfatihah, Latif, Busyra

“…The aim of this research is to reduce the overall fertilizer expense in pineapple plantation and reduce nitrogen-phosphorus-potassium (NPK) fertilizer’s utilization (upper and lower limits) via the Goal Programming (GP) algorithm. The study focuses only on cultivation of one type of crop which is pineapples. …”
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Enhanced Image View Synthesis Using Multistage Hybrid Median Filter For Stereo Images by Ali Hussein Aboali, Maged Yahya

“…Disparity depth map estimation of stereo matching algorithm is one of the most active research topics in computer vision.In the field of image processing,many existing stereo matching algorithms to obtain disparity depth map are developed and designed with low accuracy.To improve the accuracy of disparity depth map is quite challenging and difficult especially with uncontrolled dynamic environment.The accuracy is affected by many unwanted aspects including random noises,horizontal streaks,low texture,depth map non-edge preserving, occlusion,and depth discontinuities.Thus,this research proposed a new robust method of hybrid stereo matching algorithm with significant accuracy of computation.The thesis will present in detail the development,design, and analysis of performance on Multistage Hybrid Median Filter (MHMF).There are two main parts involved in our developed method which combined in two main stages.Stage 1 consists of the Sum of Absolute Differences (SAD) from Basic Block Matching (BBM) algorithm and the part of Scanline Optimization (SO) from Dynamic Programming (DP) algorithm.While,Stage 2 is the main core of our MHMF as a post-processing step which included segmentation,merging, and hybrid median filtering.The significant feature of the post-processing step is on its ability to handle efficiently the unwanted aspects obtained from the raw disparity depth map on the step of optimization.In order to remove and overcome the challenges unwanted aspects, the proposed MHMF has three stages of filtering process along with the developed approaches in Stage 2 of MHMF algorithm.There are two categories of evaluation performed on the obtained disparity depth map: subjective evaluation and objective evaluation.The objective evaluation involves the evaluation on Middlebury Stereo Vision system and evaluation using traditional methods such as Mean Square Errors (MSE),Peak to Signal Noise Ratio (PSNR) and Structural Similarity Index Metric (SSIM).Based on the results of the standard benchmarking datasets from Middlebury,the proposed algorithm is able to reduce errors of non-occluded and all errors respectively.While,the subjective evaluation is done for datasets captured from MV BLUE FOX camera using human's eyes perception.Based on the results,the proposed MHMF is able to obtain accurate results, specifically 69% and 71% of non-occluded and all errors for disparity depth map, and it outperformed some of the existing methods in the literature such as BBM and DP algorithms.…”
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ANN-based mango external quality grading system by A. Aziz, M. Rashdi, Htike@Muhammad Yusof, Zaw Zaw

“…In this project, Python programming language is used since the selected hardware for this particular system to run the image processing is by using the Raspberry Pi (mini computer). …”
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Modelling of Adsorption of Dyes from Aqueous Solution by Activated Carbon by Wong, Teck Ngin

“…For Methylene Blue/PKS (different larger initial concentrations) systems, only the FPCDSD model could use a single set of mass transfer parameters. …”
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Development of mapping methods for seagrass meadows in Malaysia by using landsat images by Hossain, Mohammad Shawkat

“…The mapping approach and the map products produced in this study will provide a useful tool for detection, distribution mapping and monitoring changes of seagrass and associated resources for coastal management and conservation programs.…”
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