Forests are remote areas with uneven terrain, so it is costly to map the range of signals that enable the implementation of systems based on wireless and long-distance communication. Even so, the interest in Internet ...
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ISBN:
(纸本)9783031232350;9783031232367
Forests are remote areas with uneven terrain, so it is costly to map the range of signals that enable the implementation of systems based on wireless and long-distance communication. Even so, the interest in Internet of Things (IoT) functionalities for forest monitoring systems has increasingly attracted the attention of several researchers. This work demonstrates the development of a platform that uses the GPS technology of mobile devices to map the signals of a LoRaWAN Gateway. Therefore, the proposed system is based on concatenating two messages to optimize the LoRaWAN transmission using the Global Position System (GPS) data from a mobile device. With the proposed approach, it is possible to guarantee the data transmission when finding the ideal places to fix nodes regarding the coverage of LoRaWAN because the Gateway bandwidth will not be fulfilled. The tests indicate that different changes in the relief and large bodies drastically affect the signal provided by the Gateway. This work demonstrates that mapping the Gateway's signal is essential to attach modules in the forest, agriculture zones, or even smart cities.
This work introduces an automated testing approach that employs agents controlling game characters to detect potential bugs within a game level. Harnessing the power of Bayesian Optimization (BO) to execute sample-eff...
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ISBN:
(数字)9798350350678
ISBN:
(纸本)9798350350685;9798350350678
This work introduces an automated testing approach that employs agents controlling game characters to detect potential bugs within a game level. Harnessing the power of Bayesian Optimization (BO) to execute sample-efficient search, the method determines the next sampling point by analyzing the data collected so far and calculates the data point that will maximize information acquisition. To support the BO process, we introduce a game testing-specific model built on top of a grid map, that features the smoothness and uncertainty estimation required by BO, however and most importantly, it does not suffer the scalability issues that traditional models carry. The experiments demonstrate that the approach significantly improves map coverage capabilities in both time efficiency and exploration distribution.
Cooperative robotics deals with multiple robot platforms working to accomplish a common goal and has a multitude of applications including security, surveying, search and rescue, and many more. The use of multiple rob...
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Cooperative robotics deals with multiple robot platforms working to accomplish a common goal and has a multitude of applications including security, surveying, search and rescue, and many more. The use of multiple robots allows a task to be completed more e ciently, and is less prone to failure in the event that one of the robots becomes immobile. The Robotic Operating System (ROS) is a mainstream software framework being used for robotic research around the world. Despite its popularity and the very strong robotic community behind its success, there has not been much work with ROS involving multirobot teams. This thesis presents a complete multi-robot system implemented within the ROS software framework. Speci cally, this work implements a collaborative robotic system that performs map coverage of a known environment. A team of robots is designed and programmed to cover a map with their range sensors. A list of frontiers that border searched and unsearched space is maintained. Each robot is assigned to travel towards unsearched space until the entire map has been covered. The frontier-based coverage method is evaluated through a series of simulation experiments in which the coverage planner is tested in di erent map environments while varying the number of robots in the system. The ROS-based implementation of multi-robot frontier coverage is shown to successfully be able to cover an entire area with a team of autonomous robots.
A genetic linkage map of lily was constructed using a RILs(recombinant inbred lines) population of 180 *** mapping population was developed by crossing Raizan No.1(Formolongo) and Gelria (Longiflomm) cultivars through...
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ISBN:
(纸本)9781907801136
A genetic linkage map of lily was constructed using a RILs(recombinant inbred lines) population of 180 *** mapping population was developed by crossing Raizan No.1(Formolongo) and Gelria (Longiflomm) cultivars through single-seed descent(SSD).With 50 primer pairs,a total of 189 parental polymorphic loci were detected and 78 loci of which were used to *** total map length spanned 2,135.5cM,consisting of 16 linkage groups(minimum 9.4 cM and maximum 345.4 cM ),in which number of markers varied from 2 to 12,and a mean marker interval distance was 27.4 cM between *** map developed in the present study is the first SRAPs map of lily,which could be used for molecular marker assisted breeding and quantitative trait locus mapping of lily.
We have constructed an AFLP-based linkage map of Japanese red pine (Pinus densiflora Siebold et Zucc.) using haploid DNA samples of 96 megagametophytes from a single maternal tree, selection clone Kyungbuk 4. Twenty-e...
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We have constructed an AFLP-based linkage map of Japanese red pine (Pinus densiflora Siebold et Zucc.) using haploid DNA samples of 96 megagametophytes from a single maternal tree, selection clone Kyungbuk 4. Twenty-eight primer pairs generated a total of 5,780 AFLP fragments. Five hundreds and thirteen fragments were verified as genetic markers with two alleles by their Mendelian segregation. At the linkage criteria LOD 4.0 and maximum recombination fraction 0.25(0), a total of 152 markers constituted 25 framework maps for 19 major linkage groups. The maps spanned a total length of 2,341 cM with an average framework marker spacing of 18.4 cM. The estimated genome size was 2,662 cM. With an assumption of equal marker density, 82.2% of the estimated genome would be within 10 cM of one of the 230 linked markers, and 68.1% would be within 10 cM of one of the 152 framework markers. We evaluated map completeness in terms of LOD value, marker density, genome length, and map coverage. The resulting map will provide crucial information for future genomic studies of the Japanese red pine, in particular for QTL mapping of economically important breeding target traits.
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