In this study, the design, fabrication, and characterization of dielectrophoresis based devices for the measurement of adhesion of bovine endothelial cells on different biomaterials are conducted. At the design stage,...
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ISBN:
(纸本)9781467307857
In this study, the design, fabrication, and characterization of dielectrophoresis based devices for the measurement of adhesion of bovine endothelial cells on different biomaterials are conducted. At the design stage, the finite element analysis software COMSOL is used to determine a better design of the dielectrophoretic electrode. Accordingly, a dielectrophoretic device that contains several micro electrodes for producing unbalanced electric field is fabricated using microelectromechanical fabrication technique. The proposed device is then used for the detection of cell adhesion on polydimethylsiloxane (PDMS) and poly lactide (PLA) substrates. The hydrophilicity measurement results reveal that PLA is more hydrophilic than PDMS. It is inferred that BEC should have better adhesion on PLA than on PDMA. However, the cell detachment results do not fully agree with this inference. It is further suggested that other features of the substrate are more crucial than the hydrophilicity on the adhesion of BEC. Cell detachment experiments demonstrate that the applied electrophoresis can not detach the adhered BECs from a PDMS substrate for a seeding time larger than 4 h. However, the dielectrophoretic force due to a 6 V applied potential is enough to lift those cells having cultured on the PLA for 4 and 6 hr. When the culture time is increased to 8 h, cells stretch out apparently and a higher voltage is required to lift and move the cells. The results of cell detachment experiments may suggest that BEC can adhere on PLA stably after 8 h of seeding.
It is widely recognized that one of the crucial point for designing and planning electrical power system is the load characterization. The problem is well known and analyzed for any power system - since peak demand ma...
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It is widely recognized that one of the crucial point for designing and planning electrical power system is the load characterization. The problem is well known and analyzed for any power system - since peak demand may exceed the maximum generated power, resulting in power outages and load shedding - but it is particularly cumbersome for railway and light transportation systems. In these cases indeed the loads exhibit fast changes and a large degree of randomness, whose description requires a proper analysis by using stochastic processes. In particular, it is of interest to have information about the extreme value of the stochastic load process in time for properly designing the generation and distribution system, and the storage devices. In the paper a new efficient estimation algorithm for the frequency of peak load occurrences is proposed. The core of the procedure, which is easily extensible to other peak load parameters, is based upon the assumption that the peak power is a Poisson process. In the paper, after a proper probabilistic description, attention is focused on the estimation of the above frequency by means of a suitable Bayesian estimation technique. Finally, the summary of a large set of numerical simulations is presented, which show the high efficiency of such estimation methodology.
Separation of concerns is one of the important goals of exception handling in order to keep separated the normal and the exceptional behaviour of a software system. Therefore it promotes both reuse and maintainability...
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Separation of concerns is one of the important goals of exception handling in order to keep separated the normal and the exceptional behaviour of a software system. Therefore it promotes both reuse and maintainability of normal and error handling code. In this work, our focus is to present how we can use the notion of aspect-connector for designing software variabilities related to different handling strategies in the context of a software product line. In particular, Connector-VP is used to support choices of different handlers depending on the set of selected features. Thus it realizes the binding between the normal behaviour and the selected exception handler.
The Product-Line Architecture (PLA) is the main artifact of a Software Product Line (SPL). However, obtaining a modular, extensible and reusable PLA is a people-intensive and non-trivial task, related to different and...
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ISBN:
(纸本)9781467310673
The Product-Line Architecture (PLA) is the main artifact of a Software Product Line (SPL). However, obtaining a modular, extensible and reusable PLA is a people-intensive and non-trivial task, related to different and possible conflicting factors. Hence, the PLA design is a hard problem and to find the best architecture can be formulated as an optimization problem with many factors. Similar Software Engineering problems have been efficiently solved by search-based algorithms in the field known as Search-based Software Engineering. The existing approaches used to optimize software architecture are not suitable since they do not encompass specific characteristics of SPL. To easy the SPL development and to automate the PLA design this work introduces a multi-objective optimization approach to the PLA design. The approach is now being implemented by using evolutionary algorithms. Empirical studies will be performed to validate the neighborhood operators, SPL measures and search algorithms chosen. Finally, we intend to compare the results of the proposed approach with PLAs designed by human architects.
The paper presents some considerations regarding the problematic of asynchronous generator's (AG) excitation. There are presented some theoretical considerations regarding the efficiency of the capacitive excited ...
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The paper presents some considerations regarding the problematic of asynchronous generator's (AG) excitation. There are presented some theoretical considerations regarding the efficiency of the capacitive excited asynchronous generator compounding regarding the load voltage variation compensation. There is presented the determination of the compounding condenser's capacity by using the graph-analytical method and respectively the calculation of the compound condenser excited induction generator characteristics even in the case of low speed AG. The above method can be applied in the case of energy power stations such as wind aggregates connected to the power grid.
We prepare polylactide- cellulose (PLA-cellulose) by microwave irradiation method with lignocellulose as raw material and characterized by infrared spectroscopy (IR) and X-ray diffraction. The results show that polyla...
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ISBN:
(纸本)9781467323826
We prepare polylactide- cellulose (PLA-cellulose) by microwave irradiation method with lignocellulose as raw material and characterized by infrared spectroscopy (IR) and X-ray diffraction. The results show that polylactide can be graft on to the cellulose surface by microwave irradiation method. The grafting rate can be achieved nearly 350% when the proportion of the amount of cellulose and lactide from 10-90wt%. The cellulose-based copolymer has hydrophobic segments and can be used to release hydrophobic drugs.
This paper proposes a novel neural network to treat natural language. Most of the conventional neural networks can only process sentences consisted of a few words, and their applications are very simple such as metaph...
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ISBN:
(纸本)9781467314886
This paper proposes a novel neural network to treat natural language. Most of the conventional neural networks can only process sentences consisted of a few words, and their applications are very simple such as metaphor understanding. The proposed network can process many complicated sentences and can be used as an associative memory and a question-answering system. The proposed network is composed of 3 layers and one network: Sentence Layer, Knowledge Layer, Deep Case Layer and Dictionary Network. The input sentences are divided into knowledge units and stored in the Knowledge Layer. The Deep Case Layer play an important role to process the knowledge units properly. The Dictionary Network also plays an important role as a knowledge base. We have carried out several experiments and they have shown that the proposed neural network has superior performances as an associative memory and a question-answering system. Especially as a question-answering system, the performance is very close to the elaborated system based on artificial intelligence.
Feature modeling is widely used for software product line analysis to capture commonality and variability of a product line. As product line variations are mainly captured in a feature model, the mapping between featu...
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Feature modeling is widely used for software product line analysis to capture commonality and variability of a product line. As product line variations are mainly captured in a feature model, the mapping between features and architectural components is essential to enable the derivation of product architectures from the feature model. However, current SPL architecture design approaches that map features to architectural components do not model crosscutting concerns explicitly either at a feature model or at product line architecture design. We propose a feature-oriented solution with aspects for product line architecture design aiming at improving product line architecture evolvability by adopting aspect-oriented techniques, which provide a promising support for modeling crosscutting concerns. Our approach includes guidelines for developing and refining SPL requirements into component-based product line architecture with aspects. We evaluated our approach through a preliminary evaluation which has shown promising results.
Studies have shown that clinical work in the real world involves considerable elements of local improvisations, use of tacit knowledge and experiences as well as patient-dependent and workplace-specific traditions of ...
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Studies have shown that clinical work in the real world involves considerable elements of local improvisations, use of tacit knowledge and experiences as well as patient-dependent and workplace-specific traditions of actions that are not easily captured by formal models of clinical workflows. We argue in this paper that decision support tools for emerging pervasive e-health need to take a more holistic view of clinical problem solving by considering the wide range of contextual, socio-cultural, dynamically situated factors that influence real world clinical practices. We discuss a set of design implications emerging from a user-centred study of clinical practices aimed to highlight the subtle differences in the ways clinicians often contextualise procedures and improvise practices in order to accommodate for peculiar workplace circumstances and patient-centred needs. Based on the result of the study, we propose a framework for cross-boundary awareness and practice-centred decision support in pervasive e-health.
Wireless Local Area Networks (WLANs) are acquiring their hold in all the verticals of life. WLANs have gone through rapid changes with respect to their security standards in near time. Man-in-the-Middle (MITM) attack ...
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Wireless Local Area Networks (WLANs) are acquiring their hold in all the verticals of life. WLANs have gone through rapid changes with respect to their security standards in near time. Man-in-the-Middle (MITM) attack is one of the most catastrophic attacks in WLAN. Stealth MITM (SMITM) attack is a new way of doing MITM based on Address Resolution Protocol (ARP) poisoning. In this attack, ARP poisoning is done directly to the victim by forging the frame ARP response protocol structure and exploiting WPA2 key management. In this paper we propose a Wireless Intrusion Detection System (WIDS) for SMITM attack. The proposed WIDS successfully detects the SMITM attack and other similar attacks like MITM (using ARP poisoning) and IP Spoofing. The proposed WIDS system is simulated in NS-3 network simulator and the scheme is found to work correctly when the attacker is static and is under the coverage of a single sensor during the complete period of attack.
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