Experimental investigation and multiresponse genetic optimization of drilling parameters for self-healing GFRP

Journal of Mechanical Science and Technology - Self-healing materials heal partially or completely when damage occurs to restore the functionality of the material. Self-healing technology has found...     

Analytical model for Binding Refresh Request to reduce storage and communication overhead in MIPv6 network

Home agent is a key component of MIPv6 functionality that comprises binding cache to hold the mobile nodes current point of attachment to the Internet. This paper is concerned with binding cache support for home agents within MIPv6 network. Existing binding cache of home agent supports weak cache consistency by using fixed contract length for Binding Refresh Request, which functions reasonably well in normal situations. However, maintaining a strong binding cache consistency in home agent as a crucial exceptional handling mechanism has become more demanding for the following objectives: (i) to adapt increasingly frequent change of care‐of address due to mobile nodes movement detection update; (ii) to provide fine‐grain controls to balance the binding cache load distributions for better delivery services; and (iii) to reduce the overhead allowances around the binding cache. In this paper, we have first verified the effectiveness of Binding Refresh Request contract length, and on the basis of that, two dynamic contract algorithms are suggested to reduce the storage and communication overhead allowances in binding cache. We have also compared our technique with the existing fixed Binding Refresh Request contract length, and our simulation results reveals that the proposed approach provides an effective performance to reduce overhead within the network. Copyright © 2014 John Wiley & Sons, Ltd.     

Towards Effective City Planning—The Case of Cape Town in Identifying Potential Housing Land

Vacant land in cities is an important resource as it presents opportunities for urban renewal and revitalisation and can contribute to municipal revenue. In a context of growing informality and homelessness in cities of the South, the presence of large tracts of vacant land is a sign of inefficient urban planning and a dysfunctional land market. It is therefore critical for local governments to have reliable data of the extent of vacant land parcels in cities and their potential for housing development, particularly affordable housing for the poor. This paper will detail and discuss the “Potential Housing Land Model” developed by the Cape Urban Observatory, part of the African Centre for Cities, based at the University of Cape Town, South Africa. South African cities, and in this case the city of Cape Town in particular, face huge constraints in terms of suitable, well-located and affordable land for low-cost housing development. A tool like the “Potential Housing Land Tool” is one tool which could assist decision-makers in identifying such land parcels. Besides identifying land that can potentially be used for housing; the model can also allow officials to pin-point areas that are not well-serviced. The deployment of the model on the World Wide Web makes the tool available to a range of users including municipal officials, academic researchers and organised sectors of civil society who might benefit from this kind of information. The responsible and strategic use of this model and the information it provides, can facilitate a broad-based discussion about vacant land and its potential use in the city, allowing for more transparent and participatory planning. The application of tools like the “Potential Housing Land Tool” can therefore greatly assist in improving urban governance and can contribute towards more efficient and sustainable urban planning and management systems.     

Collective (in) efficacy,substance abuse and violence in “Freedom Park,” Cape Town

Using collective efficacy as a lens, the paper tries to understand high levels of violence and crime within an urban settlement in Cape Town, which has recently undergone an upgrading process from an informal into a formal settlement. Theory and evidence from North America are that collective efficacy (social cohesion and informal control) has a significant bearing on levels of violence and crime and impacts on the ability of a community to regulate antisocial behavior. The paper has three main concerns, namely (a) the impact of the upgrading project on social cohesion within the settlement (b) the impact of an apparent decrease in social cohesion on informal measures of social control and the community’s ability to regulate crime and violence in the settlement and (c) how the presence of a concentration of illegal liquor and drug outlets affects collective efficacy and levels of violence and crime in turn. Research in Freedom Park reveals that the upgrading project did seem to diminish levels of social cohesion, marked by trust and solidarity, within the settlement. Whereas residents had previously depended on one another to maintain order and safety within the settlement, after upgrading, these informal arrangements and support structures have all but disappeared. A proliferation of illegal alcohol and drug outlets has simultaneously contributed to increasing levels of violence and crime and eroded social cohesion among residents. This research shows that while collective efficacy does provide a useful starting point, given the complex nature of violence and crime, it cannot be considered in isolation of broader structural constraints like poverty and unemployment, which feed into a vicious cycle of deprivation violence and crime in disadvantaged neighborhoods in cities of the South.     

Proof-of-Improved-Participation: A New Consensus Protocol for Blockchain Technology

The Internet of Things (IoT) is converting today’s physical world into a complex and sophisticated network of connected devices on an enormous scale. The existing malicious node detection mechanism in traditional approaches lacks in transparency, availability, or traceability of the detection phase. To overcome these concerns, we provide a decentralized technique using blockchain technology. Despite the fact that blockchain technology is applicable to create that type of models, existing harmony set of instructions are susceptible to do violence to such as DoS and Sybil, making blockchain systems unfeasible. Here, a new Proof-of-Improved-Participation (PoIP) harmony instruction was suggested that benefits the participation rules to select honest peers for mining while limiting malicious peers. Under an evaluation the PoIP outperforms the Proof-of-Work (PoW) instructions are demonstrated, Proof of Stake (PoS) instructions in terms of energy consumption, accuracy, and bandwidth. To compare the three consensus protocols with respect to efficiency, we build a lightweight mining model and find that PoIP consensus has greater efficiency than PoW and PoS. PoIP has 25% lower attack risk than existing consensus. As a consequence, our suggested methodology can provide the needed security with minimal attack risk and high accuracy, according to the analysis results. As a result, suggested consensus is more efficient than existing methods in terms of block generation time. Hence we suggest that suggested consensus is very suitable for IoT-based applications especially in healthcare.     

Anti-negation method for handling negation words in question answering system

The question answer (QA) system for a reading comprehension task tries to answer the question by retrieving the needed phrase from the given content. Precise answering is the key role of a QA system. An ambiguity is developed when we need to answer a negative question with a positive reply. The negation words change the polarity of the sentence, and hence, the scope of negation words is notable. This has paved the way for studying the role of ‘negation’ in the natural language processing (NLP) task. The handling of these words is considered a major part of our proposed methodology. In this paper, we propose an algorithm to retrieve and replace the negation words present in the content and query. A comparative study is done for performing word embedding over these words using various state-of-the-art methods. In earlier works when handling the negation the semantics of the sentences are changed. Hence, in this paper we try to maintain the semantics through our proposed methodology. The updated content is embedded into the bi-directional long short-term memory (Bi-LSTM) and thus makes the retrieving of an answer for a question answer system easier. The proposed work has been carried over the Stanford Negation, and the SQuAD dataset with a higher precision value of 96.2% has been achieved in retrieving the answers that are given in the dataset.

     

Nickel Nanoparticles Supported on Silica of Low Surface Area. Hydrogen Chemisorption and TPD and Catalytic Properties

Nickel metal nanoparticles supported on silica of low surface area (15 m² g^-1) were prepared by reduction of nickel acetate by hydrazine in aqueous medium. Their gas-phase stability and surface properties depended on thermal pre-treatment under H₂ or air atmosphere. Small nickel particles (<10 nm), in oxidized or reduced state, are strongly resistant to reductive or oxidative treatment respectively. For H₂-treated catalysts, H₂ chemisorption and TPD results suggested the occurrence of spillover hydrogen between the metal nickel phase and silica. For air then H₂ treated catalysts, hydrogen spillover seemed to involve the NiO phase. The activity of the catalysts in gas-phase benzene hydrogenation also depended on the thermal pre-treatment. Pre-calcined then reduced catalysts exhibited higher TOFs than non pre-calcined catalysts, suggesting that the presence of NiO phase may have influenced the hydrogenation process.     

Highly basic CaO nanoparticles in mesoporous carbon materials and their excellent catalytic activity

Highly basic CaO nanoparticles immobilized mesoporous carbon materials (CaO-CMK-3) with different pore diameters have been successfully prepared by using wet-impregnation method. The prepared materials were subjected to extensive characterization studies using sophisticated techniques such as XRD, nitrogen adsorption, HRSEM-EDX, HRTEM and temperature programmed desorption of CO2 (TPD of CO2). The physico-chemical characterization results revealed that these materials possess highly dispersed CaO nanoparticles, excellent nanopores with well-ordered structure, high specific surface area, large specific pore volume, pore diameter and very high basicity. We have also demonstrated that the basicity of the CaO-CMK-3 samples can be controlled by simply varying the amount of CaO loading and pore diameter of the carbon support. The basic catalytic performance of the samples was investigated in the base-catalyzed transesterification of ethylacetoacetate by aryl, aliphatic and cyclic primary alcohols. CMK-3 catalyst with higher CaO loading and larger pore diameter was found to be highly active with higher conversion within a very short reaction time. The activity of 30% CaO-CMK3-150 catalyst for transesterification of ethylacetoacetate using different alcohols increases in the following order: octanol > butanol > cyclohexanol > benzyl alcohol > furfuryl alcohol.     

Temporary and Permanent Viscosity Loss Correlated to Hydraulic System Performance

ABSTRACT

Straight- and multigrade fluids were evaluated in a hydraulic dynamometer that incorporated a pressure-compensated axial piston pump and a fixed displacement axial piston motor. Pump, motor, pressure compensator, and directional control valve internal flow losses were determined under various conditions of pressure, speed, and temperature. Fluid samples were collected before and at various times during the dynamometer experiments, and viscosity measurements were performed to probe for correlations between viscosity, operating time, and system leakage flow losses. The low shear rate viscosities of the multigrade fluids decreased linearly throughout the duration of testing due to polymer degradation. However, system flow losses did not exhibit a statistically significant increase as the multigrade fluids sheared down. The fluids were also characterized by their permanent viscosity loss produced in sonic shear and tapered bearing tests and by their temporary shear thinning measured in an ultra-high-shear viscometer at several temperatures. The effects of these viscous properties were analyzed using an empirical model to identify which measures of viscosity were most correlated with flow loss. The results suggested that the relative contributions of temporary and permanent viscosity loss change as the fluid is used. Further, analysis of torque loss and input power revealed that input power and losses are more useful indicators of the effect of fluids on hydraulic system performance than pump efficiency.