A personal perspective on literature searches in remote areas

The article is focused on the author's personal perspective on literature searches in remote areas. Topics covered are: literature searching; collection of key articles; catalog local fisheries library holdings; budgets; documentation of research results; and the author's thought for the future.

A 5GHz low power WLAN transceiver SiGe RFIC for personal communication terminal applications

A low-cost low-power single chip WLAN 802.11a transceiver is designed for personal communication terminal and local multimedia data transmission. It has less than 130mA current dissipation, maximal 67dB gain and can be programmed to be 20dB minimal gain. The receiver system noise figure is 6.4dB in hige-gain mode.

Public feedback - but personal feedforward?

Academic feedback is taken here as the reporting to student writers of the strengths and weaknesses of their submitted draft work, while academic feedforward refers to constructive advice regarding possible strengthening of students’ next work. Both originate from a tutor’s initial judgement of a student’s work. Feedback and feedforward on work showing need for improvement are problematic in a Confucian Heritage Culture. Even gently constructive advice within a programme seeking evidence for assessment of critical thinking may lead to perception of hurtful criticism by Taiwanese students. Some could withdraw from class activity accordingly. So the writers adjusted their response style. They now choose between different approaches featuring tutorial feedback or feedforward, depending on the standard of work being judged. When individual postings feature poor critical thinking, the writers opt for private messages concentrating on constructive feedforward. For better postings, they provide positive feedback with reasons for their judgements, and summarise to the class these exemplars of generic strengths in critical thinking. They also offer private prompting when they see scope for further enrichment of an able student’s critical thinking. This might also be a useful practice when tutoring solely in the West. (192 words) Keywords: Confucian Heritage Culture, public feedback, private feedforward, assessment

Celtic Dacia : Personal Names, Place-Names and Ethnic Names of Celtic Origin in Dacia and Scythia Minor

RAE2008

The geography of Celtic personal names in the Latin inscriptions of the Roman Empire

Raybould, Marilynne, and Sims-Williams, Patrick, The geography of Celtic personal names in the Latin inscriptions of the Roman Empire (Aberystwyth: CMCS publications, 2007) RAE2008

A Corpus of Latin Inscriptions of the Roman Empire containing Celtic personal names

Raybould, M. and Sims-Williams, P. (2007). A Corpus of Latin Inscriptions of the Roman Empire containing Celtic personal names. Aberystwyth: CMCS publications. RAE2008

Christological personal seals and Christocentric devotion in later medieval England and Wales

New, E. (2002). Christological personal seals and Christocentric devotion in later medieval England and Wales. Antiquaries Journal. 82, pp.47-68. RAE2008

Capacitación para la elaboración de artesanías en tagua; Taller de creatividad, Municipio de Tumaco, Nariño, agosto de 2003.

45 hojas : Fotografías.

Imágenes de paisajes, poblados y presentación personal de los Guambianos y Paeces Cauca.

12 hojas : ilustraciones, fotografías a color.

The cloud personal assistant for providing services to mobile clients

This paper introduces the original concept of a cloud personal assistant, a cloud service that manages the access of mobile clients to cloud services. The cloud personal assistant works in the cloud on behalf of its owner: it discovers services, invokes them, stores the results and history, and delivers the results to the mobile user immediately or when the user requests them. Preliminary experimental results that demonstrate the concept are included.

Mobile cloud contextual awareness with the cloud personal assistant

This paper presents our efforts to bridge the gap between mobile context awareness, and mobile cloud services, using the Cloud Personal Assistant (CPA). The CPA is a part of the Context Aware Mobile Cloud Services (CAMCS) middleware, which we continue to develop. Specifically, we discuss the development and evaluation of the Context Processor component of this middleware. This component collects context data from the mobile devices of users, which is then provided to the CPA of each user, for use with mobile cloud services. We discuss the architecture and implementation of the Context Processor, followed by the evaluation. We introduce context profiles for the CPA, which influence its operation by using different context types. As part of the evaluation, we present two experimental context-aware mobile cloud services to illustrate how the CPA works with user context, and related context profiles, to complete tasks for the user.

Integrating mobile and cloud resources management using the cloud personal assistant

The mobile cloud computing model promises to address the resource limitations of mobile devices, but effectively implementing this model is difficult. Previous work on mobile cloud computing has required the user to have a continuous, high-quality connection to the cloud infrastructure. This is undesirable and possibly infeasible, as the energy required on the mobile device to maintain a connection, and transfer sizeable amounts of data is large; the bandwidth tends to be quite variable, and low on cellular networks. The cloud deployment itself needs to efficiently allocate scalable resources to the user as well. In this paper, we formulate the best practices for efficiently managing the resources required for the mobile cloud model, namely energy, bandwidth and cloud computing resources. These practices can be realised with our mobile cloud middleware project, featuring the Cloud Personal Assistant (CPA). We compare this with the other approaches in the area, to highlight the importance of minimising the usage of these resources, and therefore ensure successful adoption of the model by end users. Based on results from experiments performed with mobile devices, we develop a no-overhead decision model for task and data offloading to the CPA of a user, which provides efficient management of mobile cloud resources.