46 research outputs found

    An Improved Ant Colony Algorithm for New energy Industry Resource Allocation in Cloud Environment

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    The new energy industry development is affected by many factors. Among them, the resources utilization ratio is a major reason for the low productivity of enterprises. As the core problem of cloud computing, the resource allocation problem has been widely concerned by the people, and the resource allocation problem of the new energy industry as the key to energy innovation and transformation should be more paid attention to. In multi-resource cloud computing scenarios, requests made by users often involve multiple types of resources. Traditional resource allocation algorithms have a single optimization object, typically time efficiency. In order to achieve cluster load balancing, utilization of system resources and improvement of system work efficiency, this paper proposes a new cloud computing allocation algorithm based on improved ant colony algorithm. According to the limit conditions of cloud computing environment and computing resources, this paper finds the shortest response time of all resource nodes and gets a set of best available nodes. This method can meet the quality requirements of cloud computing, and the task completion time of the improved algorithm is shorter, the number of algorithm iterations is less, and the load balancing effect is better. Through MATLAB simulation experiments, the effectiveness of the proposed method is verified

    CDCOCA: a statistical method to define complexity dependent co-occurring chromosomal aberrations

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    <p>Abstract</p> <p>Background</p> <p>Copy number alterations (CNA) play a key role in cancer development and progression. Since more than one CNA can be detected in most tumors, frequently co-occurring genetic CNA may point to cooperating cancer related genes. Existing methods for co-occurrence evaluation so far have not considered the overall heterogeneity of CNA per tumor, resulting in a preferential detection of frequent changes with limited specificity for each association due to the high genetic instability of many samples.</p> <p>Method</p> <p>We hypothesize that in cancer some linkage-independent CNA may display a non-random co-occurrence, and that these CNA could be of pathogenetic relevance for the respective cancer. We also hypothesize that the statistical relevance of co-occurring CNA may depend on the sample specific CNA complexity. We verify our hypotheses with a simulation based algorithm CDCOCA (complexity dependence of co-occurring chromosomal aberrations).</p> <p>Results</p> <p>Application of CDCOCA to example data sets identified co-occurring CNA from low complex background which otherwise went unnoticed. Identification of cancer associated genes in these co-occurring changes can provide insights of cooperative genes involved in oncogenesis.</p> <p>Conclusions</p> <p>We have developed a method to detect associations of regional copy number abnormalities in cancer data. Along with finding statistically relevant CNA co-occurrences, our algorithm points towards a generally low specificity for co-occurrence of regional imbalances in CNA rich samples, which may have negative impact on pathway modeling approaches relying on frequent CNA events.</p

    Study on the development of aerial fire extinguishing munition for forest fires and fire extinguishing tests

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    Forest fires are characterized by hidden ignition points, rapid spread, large burning areas, intense flames, and significant influence from meteorological conditions. Due to the complexity of terrain and surrounding environments, conventional firefighting equipment often struggles to reach the core ignition areas from the ground, greatly increasing the difficulty and cost of forest fire prevention and control. Fire suppression munition, due to their ability to control fires at medium and long distances, are commonly used in the field of forest firefighting. This paper conducts research and experiments on the development of new fire suppression munition after analyzing the advantages and disadvantages of current fire suppression munition, aiming to effectively suppress forest fires. Through experiments, it was found that the fire suppression aerial munition were stable and reliable throughout the entire test process. The dispersal range and concentration of the fire suppressant after explosion met the expected requirements. Good suppression effects were achieved in field tests on large ground fires and crown fires, with flames being extinguished and no reignition occurring within 10 min

    An Improved Ant Colony Algorithm for New energy Industry Resource Allocation in Cloud Environment

    Get PDF
    The new energy industry development is affected by many factors. Among them, the resources utilization ratio is a major reason for the low productivity of enterprises. As the core problem of cloud computing, the resource allocation problem has been widely concerned by the people, and the resource allocation problem of the new energy industry as the key to energy innovation and transformation should be more paid attention to. In multi-resource cloud computing scenarios, requests made by users often involve multiple types of resources. Traditional resource allocation algorithms have a single optimization object, typically time efficiency. In order to achieve cluster load balancing, utilization of system resources and improvement of system work efficiency, this paper proposes a new cloud computing allocation algorithm based on improved ant colony algorithm. According to the limit conditions of cloud computing environment and computing resources, this paper finds the shortest response time of all resource nodes and gets a set of best available nodes. This method can meet the quality requirements of cloud computing, and the task completion time of the improved algorithm is shorter, the number of algorithm iterations is less, and the load balancing effect is better. Through MATLAB simulation experiments, the effectiveness of the proposed method is verified

    Changes of coagulation-fibrinolysis function after soft tissue injury complicated with shock and seawater immersion in rabbits

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    Objective To observe and analyze the changes of coagulation and fibrinolytic function after soft tissue injured combined with shock and seawater immersion in rabbits. Methods Twenty rabbits of either gender were provided by the Laboratory Animal Center of the Army Medical University, with a body weight of 2.17±0.02 kg, and were randomly divided into the group A and the group B (n=10).The calf and thigh muscle of rabbits in the group A were injured with a total area of about 10 cm2 and a depth of about 1.5 cm.Then 20% of the total blood volume of rabbits was extracted to make the animal model for injured soft tissue complicated with hemorrhagic shock.Animals in group B were immersed in simulated seawater for 40 min on the basis of the procedure in the group A mentioned before, and the depth of immersion was at the lower margin of ribs.Before and after 15 min and 1, 4, and 8 h of getting injured, blood samples were taken to detect thromboelastography, routine coagulation phase, platelet count and D-dimer level, and the changes in blood pressure and survival rate were observed at each time point. Results The mean arterial pressure of rabbits in the 2 groups was decreased by 30% after injury.The model of rabbits with injured soft tissue combined with hemorrhagic shock was established successfully, and there was no significant difference in shock between the 2 groups.The changes of coagulation and fibrinolytic function in the group B were more complex and serious than those in the group A, which were manifested at 8 h after getting injury.The activation time of partial thrombin was significantly increased (29.53±4.36 vs 24.56±4.1 s), the reaction time was significantly increased (3.07±0.69 vs 2.34±0.63 min), the D-dimer concentration was significantly increased (0.214±0.23 vs 0.037±0.03 mg/L), platelet activation activity was significantly increased (508.67±86.69 vs 381.60±73.84), and the maximum amplitude was significantly lower (52.73±14.97 vs 63.52±3.86 mm).The platelet count in the group B was significantly lower than that in the group A[(182.77±60.01)×109/L vs(236.78±52.14)×109/L]. Conclusion In the case of injured soft tissue combined with shock, seawater immersion may result in longer coagulation time, higher fibrinolytic activation and obvious platelet reduction than those without seawater immersion

    Detent Force Reduction of a C-Core Linear Flux-Switching Permanent Magnet Machine with Multiple Additional Teeth

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    C-core linear flux-switching permanent magnet (PM) machines (LFSPMs) are attracting more and more attention due to their advantages of simplicity and robustness of the secondary side, high power density and high torque density, in which both PMs and armature windings are housed in the primary side. The primary salient tooth wound with a concentrated winding consists of C-shaped iron core segments between which PMs are sandwiched and the magnetization directions of these PMs are adjacent and alternant in the horizontal direction. On the other hand, the secondary side is composed of a simple iron core with salient teeth so that it is very suitable for long stroke applications. However, the detent force of the C-core LFSPM machine is relatively high and the magnetic circuit is unbalanced due to the end effect. Thus, a new multiple additional tooth which consists of an active and a traditional passive additional tooth, is employed at each end side of the primary in this paper, so that the asymmetry due to end effect can be depressed and the detent force can be reduced by adjusting the passive additional tooth position. By using the finite element method, the characteristics and performances of the proposed machine are analyzed and verified

    Towards more child safety-oriented decisions through VR

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    Witnessing intimate partner violence (IPV) could have long-term negative impacts on children. Such exposure is, however, often overlooked by professionals. We developed a VR scenario which allowed participants to witness IPV from a child's perspective. In this pilot study, we found that they made more child-protective decisions and showed higher levels of empathy towards the child after VR exposure. When comparing the impact between the child's perspective and third-person perspective, no statistically significant differences were found in empathy and decision-making, even though those with the child's perspective had significantly higher levels of presence
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