986 resultados para Muhammad Ahmad


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Rahman Patji is an Indonesian who studied at the Australian National University in 1989-1991. She studied on an Australian International Development Assistance Bureau (AIDAB) Scholarship and completed a Masters in Anthropology. The interview was conducted in Indonesian on 16 May 2014 by Dr. Ahmad Suaedy of the Abdurrahman Wahid Centre for Inter-faith Dialogue and Peace at Universitas Indonesia. This set comprises: an interview recording, and a transcript of the interview (also in Indonesian).

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Ismatu Ropi is an Indonesian who studied at the Australian National University (ANU) in 2006-2010. He studied on an Australian Development Scholarship (ADS) and completed a PhD in Asian Studies. The interview was conducted in English on 12 January 2015 by Dr. Ahmad Suaedy of the Abdurrahman Wahid Centre for Inter-faith Dialogue and Peace at Universitas Indonesia. This set comprises: an interview recording, and a timed summary.

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Agus Sumule is an Indonesian who studied at the University of Queensland in 1990-1994. He studied on an Australian International Development Assistance Bureau (AIDAB) Scholarship and completed a PhD in Agriculture. The interview was conducted in Indonesian on 20 July 2014 by Dr. Ahmad Suaedy of the Abdurrahman Wahid Centre for Inter-faith Dialogue and Peace at Universitas Indonesia. This set comprises: an interview recording, a photograph and a transcript of the interview (also in Indonesian).

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Nur Fitriatin Yamin is an Indonesian who studied in Australia on two occasions; at Flinders University in 1998-1999, and at the University of Canberra in 2008-2012. In both periods of study she was awarded Australian Development Scholarships (ADS). She completed a Masters in Education during her time at Flinders University before completing a PhD in the same field while at the University of Canberra. The interview was conducted in Indonesian on 1 June 2014 by Dr. Ahmad Suaedy of the Abdurrahman Wahid Centre for Inter-faith Dialogue and Peace at Universitas Indonesia. This set comprises: an interview recording, and a transcript of the interview (also in Indonesian).

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Jamhari is an Indonesian who studied at the Australian National University (ANU) in 1993-1999. He studied on an Australian Development Scholarship (ADS) and completed a Masters and PhD, both in Anthropology. The interview was conducted in English on 14 January 2015 by Dr. Ahmad Suaedy of the Abdurrahman Wahid Centre for Inter-faith Dialogue and Peace at Universitas Indonesia. This set comprises: an interview recording, a timed summary, and a photograph.

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Objectives: To examine the role of technology when introduced into the specific setting of residential aged care and then analyse the associated changes to this complex socio-technical network of human and technology actors on the introduction of this technology using the rich lens of Actor Network Theory. Methods: An exploratory qualitative single case study was conducted. The specific focus being the implementation of a nursing information system in an aged care context, i.e. the transition from paper-based nursing documentation to electronic nursing documentation. A series of 19 semi structured interviews with facility managers, nursing coordinators, and the nursing and care staff were conducted. The collected data were analysed using standard qualitative techniques such as thematic analysis and a priori themes were developed from the application of Actor Network Theory. Results: A priori themes coupled with emergent themes served to highlight the impact of a disruptive technology solution into a complex context. Conclusion: An Actor Network Theory analysis enables a rich theoretical lens to be used to examine the introduction of a disruptive technology into a complex context. On such examination critical success factors were identified as well as key barriers. Moreover, people issues were found to be central to the success of such a solution.

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Nanofibres prepared by electrospinning typically have randomly oriented fibrous structure. They have large surface-to-volume (or weight) ratio and excellent porous characteristic, which have shown enormous potential in diverse applications. However, electrospun nanofibres are often prepared in the form of randomly orientated fibrous web, which are fragile and difficult to be tailored in fibrous structures. Herein, we demonstrate a novel yarn electrospinning method which uses a rotating ring collector to convert newly electrospun nanofibres directly into a continuous yarn. The use of ring collector separates the yarn formation from the electrospinning zone. The deposition of later-spun nanofibres to the inner surface of fibrous cone eliminates hooked or curled nanofibres in the final yarn. The effects of polymer concentration and operating parameters on nanofibre and yarn morphology, diameter and the ring collector on yarn twist feature were examined. The nanofibre yarns had a surface twist angle up to 54.4°, and tensile strength as high as 93.6 MPa (elongation at break 242.6%). Increasing twist levels improves tensile strength and strain values.

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Opportunistic networks or OppNets refer to a number of wireless nodes opportunistically communicating with each other in a form of “Store–Carry–Forward”. This occurs when they come into contact with each other without proper network infrastructure. OppNets use wireless technologies, such as IEEE 802.11, WiMAX, Bluetooth, and other short-range radio communication. In OppNets, there is no end-to-end connection between the source and the destination nodes, and the nodes usually have high mobility, low density, limited power, short radio range, and often subject to different kinds of attacks by malicious nodes. Due to these characteristics and features, OppNets are subject to serious security challenges. OppNets strongly depend on human interaction; therefore, the success of securing such networks is based on trust between people. This survey includes the security approaches in OppNets and techniques used to increase their security levels.

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Electrical load forecasting plays a vital role in order to achieve the concept of next generation power system such as smart grid, efficient energy management and better power system planning. As a result, high forecast accuracy is required for multiple time horizons that are associated with regulation, dispatching, scheduling and unit commitment of power grid. Artificial Intelligence (AI) based techniques are being developed and deployed worldwide in on Varity of applications, because of its superior capability to handle the complex input and output relationship. This paper provides the comprehensive and systematic literature review of Artificial Intelligence based short term load forecasting techniques. The major objective of this study is to review, identify, evaluate and analyze the performance of Artificial Intelligence (AI) based load forecast models and research gaps. The accuracy of ANN based forecast model is found to be dependent on number of parameters such as forecast model architecture, input combination, activation functions and training algorithm of the network and other exogenous variables affecting on forecast model inputs. Published literature presented in this paper show the potential of AI techniques for effective load forecasting in order to achieve the concept of smart grid and buildings.

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Nanofibres prepared by electrospinning have shown enormous potential for various applications. They are obtained predominantly in the form of nonwoven fibre webs. The 2-dimensional nonwoven feature and fragility have considerably confined their further processing into fabrics through knitting or weaving. Nanofibre yarns, which are nanofibre bundles with continuous length and a twist feature, show improved tensile strength, offering opportunities for making 3-dimensional fibrous materials with precisely controlled fibrous architecture, porous features and fabric dimensions. Despite a few techniques having been developed for electrospinning nanofibre yarns, they are chiefly based on the needle electrospinning technique, which often has low nanofibre productivity. In this study, we for the first time report a nanofibre yarn electrospinning technique which combines both needle and needleless electrospinning. A rotating intermediate ring collector was employed to directly collect freshly-electrospun nanofibres into a fibrous cone, which was further drawn and twisted into a nanofibre yarn. This novel system was able to produce high tenacity yarn (tensile strength 128.9 MPa and max strain 222.1%) at a production rate of 240 m h-1, with a twist level up to 4700 twists per metre. The effects of various parameters, e.g. position of the electrospinning units, operating conditions and polymer concentration, on nanofibre and yarn production were examined.