Asteroids have been observed both from the ground and through space missions for decades, which accumulated large amount of their observational data. These data are used to estimate the sizes, orbits, and even possibl...
Asteroids have been observed both from the ground and through space missions for decades, which accumulated large amount of their observational data. These data are used to estimate the sizes, orbits, and even possible chemical compositions of asteroids. Even though the chemical composition is generally difficult to be accurately determined without a sample return or in-situ observation by a spacecraft, asteroids are classified based on their reflectance spectra, which are compared with those of meteorites, which are known to be mostly originated from asteroids. This scheme works reasonably well for some asteroid types, but others, mostly featureless ones in reflectance spectra, remained controversial due to the fact that the observational data of asteroids and measured data of meteorites are different in terms of the data coverage, precision and resolution. Our aim is to connect asteroids with meteorites based on sparse modelling in order to search for the optimal integration scheme for two different databases without relying on preliminary knowledge. For the above purpose, we develop large databases of asteroids and meteorites for easy application of sparse modelling. Through our analyses including principal component analysis, Bayesian spectral deconvolution and dimensionality reduction, we found that our data-driven approach can extract potential information without using empirical knowledge. Our methods show a new type of data handling scheme for asteroid and meteorite data, potentially having a significant contribution for future missions.
A chatterbot or chatbot aims to make a conversation between both human and machine. The machine has been embedded knowledge to identify the sentences and making a decision itself as response to answer a question. The ...
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ISBN:
(纸本)9781509006663
A chatterbot or chatbot aims to make a conversation between both human and machine. The machine has been embedded knowledge to identify the sentences and making a decision itself as response to answer a question. The response principle is matching the input sentence from user. From input sentence, it will be scored to get the similarity of sentences, the higher score obtained the more similar of reference sentences. The sentence similarity calculation in this paper using bigram which divides input sentence as two letters of input sentence. The knowledge of chatbot are stored in the database. The chatbot consists of core and interface that is accessing that core in relational database management systems (RDBMS). The database has been employed as knowledge storage and interpreter has been employed as stored programs of function and procedure sets for pattern-matching requirement. The interface is standalone which has been built using programing language of Pascal and Java.
In virtual reality, particularly in gaming applications, the hands used are generic representations that move using a controller. An individualized hand representation can create a more immersive experience. If the ha...
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ISBN:
(纸本)9781509006663
In virtual reality, particularly in gaming applications, the hands used are generic representations that move using a controller. An individualized hand representation can create a more immersive experience. If the hands being controlled by the user are similar with his, the interaction with the virtual world is more effective and meaningful. We present a parametric 3D human hand model from Leap Motion sensor's data. Piecewise geometric 3D shapes, such as ellipsoid and truncated elliptic cone, are used to generate the 3D hand. The dimensions of the hand are obtained from the Leap Motion sensor and used as parameters to make the 3D hand model.
Methods of competence modelling and assessment used in psychological research hold high potential for gaining insight into requirements to engineers in product design. The contribution describes methods for competence...
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ISBN:
(纸本)9781904670742
Methods of competence modelling and assessment used in psychological research hold high potential for gaining insight into requirements to engineers in product design. The contribution describes methods for competence modelling, task and test development and test analysis and optimization. The methods describes are exemplarily implemented in a federal funded project about Standardization in Higher Education in Germany and the imtermediate results in this ongoing work are discussed.
Recently, the proton exchange membrane fuel cell (PEMFC) has gained much attention to the technology of renewable energy due to its mechanically ideal and zero emission power source. PEMFC performance reflects from th...
Recently, the proton exchange membrane fuel cell (PEMFC) has gained much attention to the technology of renewable energy due to its mechanically ideal and zero emission power source. PEMFC performance reflects from the surroundings such as temperature and pressure. This paper presents an analysis of the performance of the PEMFC by developing the mathematical thermodynamic modelling using Matlab/Simulink. Apart from that, the differential equation of the thermodynamic model of the PEMFC is used to explain the contribution of heat to the performance of the output voltage of the PEMFC. On the other hand, the partial pressure equation of the hydrogen is included in the PEMFC mathematical modeling to study the PEMFC voltage behaviour related to the input variable input hydrogen pressure. The efficiency of the model is 33.8% which calculated by applying the energy conversion device equations on the thermal efficiency. PEMFC's voltage output performance is increased by increasing the hydrogen input pressure and temperature.
In order to use technology to influence humanbehaviour and promote safer and more fuel efficient behaviour through incentive mechanisms, an instrumented vehicle is developed. The first step is to make it “perceive”...
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ISBN:
(纸本)9781509018901
In order to use technology to influence humanbehaviour and promote safer and more fuel efficient behaviour through incentive mechanisms, an instrumented vehicle is developed. The first step is to make it “perceive” the outside world, so extracting knowledge from some data sources such as sensors is crucial. More critically, there is a fundamental need for a standard that would enable knowledge sharing/exchanging among the different entities, e.g., between on-board sensors, in-vehicle controls and traffic management agencies. This paper proposes an Ontology for Context modelling (OCM) to be used as the world model for driving context representation and reasoning, which can enable a better understanding of traffic context and sensor capability, which is the basis for providing data source to Advanced Driver Assistance Systems (ADAS), V2X (Vehicle-to-Everything) communications and even driving decision making within autonomous vehicles. Through the experiments, we evaluate the capability of the OCM to represent the driving context and the reasoning mechanism to compensate for sensor failures and recognize lane changing and overtaking events. This methodology has significant value for creating standards in autonomous and semi-autonomous cars.
Face as the most direct and important carrier of human's daily emotional expression and information exchange, with its peculiar to different from other organs and parts of the universality and ease of use as mathe...
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ISBN:
(纸本)9781510833890
Face as the most direct and important carrier of human's daily emotional expression and information exchange, with its peculiar to different from other organs and parts of the universality and ease of use as mathematical modeling of the object of study, and many research algorithm has been applied to the photographing, face recognizing and face rebuilding, etc. Currently, there are face recognizing and face rebuilding two research direction around face, this paper studies the AAM algorithm based on front face feature points extraction, and using MATLAB to achieve programming. Results show that this method can quickly locate face to extract the complete face shape.
The developments of large-scale renewable energy cause significant challenges for the operation of power system. Demand Side Response (DSR) based Thermostatically Controlled Loads (TCLs) may offer a broad range of pot...
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ISBN:
(纸本)9781509037216
The developments of large-scale renewable energy cause significant challenges for the operation of power system. Demand Side Response (DSR) based Thermostatically Controlled Loads (TCLs) may offer a broad range of potential benefits on system operation and reliability. This paper investigates the modelling of aggregated small loads, such as Heat Pump (HP). The simplified thermodynamic model of a residential single Air Source Heat Pump (ASHP) was developed and simulated using Matlab. A decentralized temperature control algorithm was used to control the ON/OFF cycle of the heat pump offering comfort to the customer. The behaviour of a population of controlled heat pumps was examined. Seven case studies were conducted to identify a suitable number of individual heat pump models that can be used to represent the total number of heat pumps in the UK according to the National Grid 2030 medium uptake scenario. Simulation results showed that an aggregation model of 5,000 individual heat pumps is suitable to represent the total number of heat pumps in the GB power system.
The need for a means of assistance in human grasping, to compensate for weakness or to augment performance, is well documented. An appealing new way of doing so is through soft, wearable robots that work in parallel w...
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ISBN:
(纸本)9781509032884
The need for a means of assistance in human grasping, to compensate for weakness or to augment performance, is well documented. An appealing new way of doing so is through soft, wearable robots that work in parallel with the human muscles. In this paper we present the design and modelling of a tendon-driving unit that empowers a wearable, soft glove. Being portability one of our main objectives, we use only 1 motor to move 8 degrees of freedom of the hand. To achieve this we use an underactuation strategy based on the human hand's first postural synergy, which explains alone ≈60% of activities of daily living. The constrains imposed by the underactuation strategy are softened, to allow adaptability during grasping, by placing elastic elements in series with the tendons. A simulation of the dynamic behaviour of the glove on a human hand allows us to quantify the magnitude and distribution of the forces involved during usage. These results are used to guide design choices such as the power of the motor and the stiffness of the springs. The designed tendon-driving unit comprises a DC motor which drives an array of spools dimensioned according to the first postural synergy, an electromechanical clutch to hold the hand in position during static posture and a feeder mechanism to avoid slacking of the tendons around the spool. Finally, the tendon-driving unit is tested to verify that it satisfies motion and force characteristics required to assist its wearer in activities of daily living.
The problem of maximum and minimum on the difference between the product of two events' probability and the probability of product of two events has been discussed, in this paper, two events are generalized to n e...
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ISBN:
(纸本)9781510833890
The problem of maximum and minimum on the difference between the product of two events' probability and the probability of product of two events has been discussed, in this paper, two events are generalized to n events and the problem is solved by using the method of induction and construction.
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