Current Issue : January - March Volume : 2016 Issue Number : 1 Articles : 11 Articles
Non steady state thermal conductivity of ABS was estimated using an analytical approach in a Cold\nClimate Chamber at 10 and 14. Two hollow cylinders of ABS of varying thickness were used\nto estimate the conductivity. The material was porous but the porosity was unknown. This paper\nis a case study to understand, if it is reasonable to estimate the thermal conductivity using the\nanalytical varying thickness approach....
Visual method including binocular stereo vision method and monocular vision method of the relative\nposition and pose measurement for space target has become relatively mature, and many researchers\nfocus on the method based on three-dimension measurement recently. ICP alignment,\nwhich is the key of three-dimension pattern measurement method, has the problem of low efficiency\nin large data sets. Considering this problem, an improved ICP algorithm is proposed in this\npaper. The improved ICP algorithm is the combination of the original ICP algorithm and KD-TREE.\nThe experimental comparison between the improved ICP algorithm and the traditional ICP algorithm\nin efficiency has been given in this paper, which shows that the improved ICP algorithm can\nget much better performance....
Study of atmospheric ice accretion on a non-rotating vertical circular cylindrical object was carried\nout at dry and wet ice conditions. Both numerical and experimental techniques were used\nduring this study. 3D numerical study was carried out using computational fluid dynamics based\napproach, whereas experimental study was carried out at Cryospheric Environmental Simulator\nââ?¬Ë?CESââ?¬â?¢ in Shinjo, Japan. A good agreement was found between experimental and numerical results.\nThe dimensions of the cylindrical object used to measure the atmospheric ice load on structures\nalong this study, were selected as per the ISO12494 standard. Results provide useful information\nabout ice growth and intensity along circular cylindrical objects at different atmospheric temperatures.\nThis research work also provides a useful base for further investigation of atmospheric\nice accretion on structures particularly circular power network cables, & tower masts installed in\nthe cold regions....
Introduction: Besides the military and commercial applications of drones, there is no doubt in\ntheir efficiency in case of supporting emergency management. This paper evaluates some experiences\nand describes some initiatives using drones to support disaster management. Method:\nThis paper focuses mainly on operational and tactical drone application in disaster management\nusing a time-scaled separation of the application, like pre-disaster activity, activity immediately\nafter the occurrence of a disaster and the activity after the primary disaster elimination. Paper\nfaces to 5 disasters, like nuclear accidents, dangerous material releases, floods, earthquakes and\nforest fires. Author gathered international examples and used own experiences in this field. Results\nand discussion: An earthquake is a rapid escalating disaster, where, many times, there is no\nother way for a rapid damage assessment than aerial reconnaissance. For special rescue teams,\nthe drone application can help much in a rapid location selection, where enough place remained\nto survive for victims. Floods are typical for a slow onset disaster. In contrast, managing floods is a\nvery complex and difficult task. It requires continuous monitoring of dykes, flooded and threatened\nareas. Drone can help managers largely keeping an area under observation. Forest fires are\ndisasters, where the tactical application of drone is already well developed. Drone can be used for\nfire detection, intervention monitoring and also for post-fire monitoring. In case of nuclear accident\nor hazardous material leakage drone is also a very effective or can be the only one tool for\nsupporting disaster management....
In recent times the uncertain data snatched more attention of the data mining community. Big Data is a term which deals with the large amount of data which uses the techniques to capture, process, analyze and visualize the datasets. The most of the data generated by many applications is uncertain. So there is need to consider this big uncertain data for mining. To reduce the volumes of big data we may use the frequent items mining. By using the FIM the size of large data can be easily manage and this data is used for processing. Frequent itemset mining (FIM) is an essential part of association rules mining. It has been an active research area and a large number of algorithms have been developed for FIM. CT-PRO is classic variation of FP-Growth based upon compact tree structure. This algorithm is used to find the frequent patterns. This paper proposes an effectual analytical big uncertain data processing using CT-PRO algorithm. First we find the frequent itemsets from uncertain data then the CFP-Tree will be constructed from the frequent itemsets. The CFP-Tree will be mine to form desired patterns....
The electronic and electrical equipments (EEE) make our life easier. These equipments are too necessary for today’s life. But the resources for production of EEE are limited. The reuse of resources is important in most economical manner. This can be achieved by the proper technological application of reuse, recycle, remove and reduce concept....
Water hammer phenomenon involves the transformation of kinetic energy in pressure energy,\nthis transformation occurs as the fluid conditions change inside the pipe in quite a short time. Industry\nrequires to affront frequent flow interruptions in pipe systems due to the closing of valves\nor stopping of pumping equipment. This phenomenon can initiate serious damages like destruction\nof the pipe system involving leakage of the working fluid to the environment. If the system\noperates in a fragile environment, as in cold regions, concern about the consequences of leakage\nincreases due to the variation of physical properties of fluid as well as the pipe material as a function\nof the temperature. Water hammer effects can be controlled focusing efforts on reducing the\npressure increment that takes place once the phenomenon is presented. Some methods try to reduce\nthe time of closure or the rate of change before the closure using special valves, others install\nadditional elements to absorb the pressure surge and dissipate energy, others install relief valves\nto release the pressure, and others try to split the problem is smaller sections by installing check\nvalves with dashpot or non-return valves. Splitting the pipeline into shorter sections is often used\nto help preventing the pipeline length of water falling back after a pump stops. In this paper the\nnumerical results of maximum and minimum pressure values at both ends of a closed section are\ncompared to experimental data. The numerical results follow the experimental trends....
Fault diagnosis is an important application of the power grids monitoring system. Under the situation\nof continuous development of smart grid, it brings new challenges to the fault diagnosis technology.\nA fault diagnosis expert system based on model driven approach is proposed in this paper.\nAnd the corresponding fault modeling technology based on Fault Logic Description Language\n(FLDL) is described step by step. Practices show that this system could meet the requirements of\nprocessing fault alarm information rapidly and reliably by operator....
By rigidizing the input joints, all possible combinations of drive selecting for the 4-PPPS parallel\nmechanism are analyzed based on the screw theory in this paper, and the five of them are proved\nto be reasonable. Then choosing the one as mechanical actuators, the workspace of the 4-PPPS\nparallel mechanism is deduced according to the rational input scheme. Finally the rationality of\ninput scheme for this mechanism is identified on the basis of the continuity of the workspace....
This work examines the effect of process variables on the mechanical property of carburized AISI\n1018 steel quenched in water and oil for improved performance. A carburizer consisting of charcoal\nwas used for research with sea shell as energizer. Samples were carburized using weight percent\nof seashell (10, 20, 30 and 40%) with particle sizes of 212 �µm, 425 �µm and 600 �µm respectively.\nThe process was carried out at carburizing temperature of 950�°C, soaked for 4, 6, and 8 hours and\nquenched in oil and water. The samples were further tempered at 200�°C for 1hour to relieve the\nstress built up during quenching. Hardness test was carried on the steel samples. The results of the\nstudy showed that hardness values of the carburized and tempered steel increased with influence of soaking time, volume fraction and particle sizes of energizer. The optimal carburizing effect was\nachieved at 90% charcoal and 10% seashell (energizer) of 212 �µm particle size at 8 hrs soaking\ntime when quenched in water....
In this paper, we use a modified path simulation method for valuation of Asian American Options.\nThis method is a modification of the path simulation model proposed by Tiley. We assume that the\nbehavior of the log return of the underlying assets follows the Variance Gamma (VG) process, since\nits distribution is heavy tail and leptokurtic. We provide sensitivity analysis of this method and\ncompare the obtained prices to Asian European option prices....
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