1,128 research outputs found
A Gap Analysis of Airport Safety Using ICAO SMS Perspectives: A Field Study of Taiwan
No full textSafety is critical to the success of the aviation industry, and as it continues to develop worldwide and link more people and places, how aviation safety is standardized has been and will continue to be a global concern. The International Civil Aviation Organization (ICAO) has developed a comprehensive framework for safety management at airlines and airports, known as Doc. 9859 Safety Management Manual (SMM). Safety Management Systems (SMS) have since been required to be implemented by all ICAO member states beginning January 2010. Taiwan, administered by the Republic of China (ROC), is in a unique position as a non-member state of ICAO that is strongly connected to the world’s aviation system. Using the Delphi Technique and convenient sampling, this research is a case study of how aviation safety is managed at a major international airport in Taiwan with respect to ICAO’s SMS standards. Interviews and focus groups were conducted with participants from three major organizations operating at the surveyed airport: air traffic controllers, the airport management company, and a ground services provider. Results found that despite Taiwan’s non-member status with ICAO, safety management was very consistent with ICAO SMS standards, especially in the areas this study focused on: safety policy and objectives, safety risk management, safety assurance, and safety promotion
Using SMS text messaging for teaching and data collection in the behavioral sciences
No full textRecent interest in university teaching has focused on interactivity in lectures and practical classes, and teachers in several fields have set up systems in which students can interact with the lecturer using mobile-phone-based SMS text messaging. This approach has particular potential in psychology, where students could use SMS messaging as a way of responding in simple psychology experiments or demonstrations. We describe a simple architecture for an SMS-based responding, using an SMS-to-HTTP message relay service, and a PHP/MySQL input-output handler. We describe briefly two experiments we have run using the system. The first experiment examined anchoring effects in an SMS-based auction. The second experiment examined delay discounting, with participants indicating their intertemporal preferences using SMS. Finally, we evaluate the feedback we obtained from students about the practical and conceptual issues surrounding text-message-based responding
Gerência de alarmes em ambientes WEB, WAP e SMS usando as tecnologias SNMP, WBEM e CORBA
No full textDissertação (mestrado) - Universidade Federal de Santa Catarina, Centro Tecnológico. Programa de Pós-Graduação em Ciência da Computação.A operação eficiente e ininterrupta das redes de computadores é um requisito que tem sido cada vez mais cobrado atualmente. Uma falha na rede pode deixar instituições inteiras inoperantes. Por este motivo, detectar eventuais falhas e tomar ações corretivas de modo rápido e eficiente tem se tornado uma exigência de mercado. Deste modo, o Gerenciamento de Falhas em redes de computadores tem se tornado cada vez mais importante. Dentro deste contexto este trabalho propõem a implementação de uma aplicação destinada a detecção das falhas que mais prejudicam um ambiente de produção. Esta ferramenta foi desenvolvida em um ambiente WEB, WAP e SMS se propondo a ser um diferencial através da união de tecnologias como WBEM, SNMP e CORBA. O objetivo básico desta aplicação é prover um meio eficiente para a detecção e notificação de falhas, assim como, o acompanhamento das eventuais soluções para o problema
SMS GATEWAY KANNEL SEBAGAI SARANA PENUNJANG INFORMASI AKADEMIK
No full textSMS Gateway merupakan pintu gerbang bagi penyebaran Informasi dengan menggunakan SMS. Anda dapat menyebarkan informasi atau meminta informasi melalui server SMS tersebut. Selain itu dengan adanya SMS Gateway anda dapat mengcustomisasi keyword dan informasi apa saja yang ingin dikirimkan. Ada beberapa metode pengiriman dan penerimaan SMS (protocol) yang didukung oleh Kannel SMS gateway yaitu protocol CIMD 1.3, CIMD 2.0, SMPP 3.4, UCP/EMI 4.0. juga SEMA SMS2000 OIS protocol for SMS centers over Radiopad dan X.2
Incident Investigation in SMS and FRMS
No full textChapter 4: Incident Investigation in SMS and FRMS The European Commission HILAS project (Human Integration into the Lifecycle of Aviation Systems - a project supported by the European Commission’s 6th Framework between 2005-2009) was focused on using human factors knowledge and methodology to address key challenges for aviation (current and future) including a performance based approach for safety and fatigue management in the aviation sector, mainly inflight operations and maintenance. The project Deliverables have been presented as a series of draft book chapters on Safety Management Systems with emphasis on Fatigue risk Management and organisational learning from operational experiences in aviation. The chapters also include conceptual frameworks underlying a thorough analysis of essential functions, contents and structures of a Safety Management System (SMS). This includes supporting functionalities such as investigation in just culture context, decision making processes, and safety promotion. This set of eight (8) draft chapters links theory with field implementation and regulation in airlines. The draft chapters are: Ch. 1: Organisational Learning and Organisational Memory for SMS and FRMS Ch. 2: Resilience Safety Culture in Aviation Organisations Ch. 3: Operational Risk Management System for SMS and FRMS Ch. 4: Incident Investigation in SMS and FRMS Ch. 5: Developing a Safety Management System for Fatigue Related Risks in easyJet Ch. 6: Safety Assurance Process for FRMS – easyJet case study Implementation Ch. 7: Developing a Resilient Just Culture in SMS and FRMS – easyJet case study Implementation Ch. 8: International Fatigue Risk Management Forum - Safety Promotion and Feedback in FRMSSafety Science GroupTechnology, Policy and Managemen
Author identification : a forensic-linguistic research study in Afrikaans SMS language
No full textForensiese taalkunde is die studieveld waar linguistiese kennis en metodes gebruik word om ’n verskeidenheid tekste (gesproke en geskrewe) vir regsdoeleindes te ontleed. Outeuridentifikasie is ’n subkategorie van die forensiese taalkunde en word beskryf as die vasstel van ’n outeur se idiolek met die doel om die outeur positief te identifiseer as produseerder van ’n teks (Coulthard 2004:431–47; McMenamin 2010:490–2). Outeuriden-tifikasie is met ander woorde die proses waardeur die ware outeur van ’n gesproke of geskrewe teks vasgestel word wanneer daar twyfel bestaan oor die identiteit van die outeur van so ’n teks. Die doel van die huidige navorsing was om te bepaal tot watter mate dit moontlik is om vas te stel of ’n spesifieke individu die outeur van ’n spesifieke, beperkte stel (Afrikaanse) SMS’e is. Uit die navorsing blyk dit dat dit nie moontlik is om die outeur van ’n verdagte teks met groot sekerheid te identifiseer indien daar slegs beperkte data tot die navorser se beskikking is nie, maar die resultate is nietemin voldoende om as bewyse gebruik te word.Forensic linguistics is a field of study that has gained popularity in many countries around the world (Blackwell 2012). In South Africa forensic linguistics is not a well-known field of study, but academics and postgraduate students are beginning to explore research and study opportunities within this field. Author identification, which is the focus of this article, is only one of the subcategories within forensic linguistics. A very basic definition of forensic linguistics is that it is a section of applied linguistics where a variety of both written and spoken texts is analysed for judicial purposes. The field is roughly divided into two main categories: language use and its judicial implications and the analysis of forensic texts (written or spoken). In the first category forensic linguists consider translating and interpreting in a courtroom setting, the language use and discourse of a trial and the language rights of individuals in the courtroom or during the course of the trial, among others. The second category includes author identification, speaker identification, profiling and identification of plagiarism (Olsson n.d.:4–5). Author identification is the analysis of a text with the goal of determining the possible author because there is some uncertainty or dispute about the author of that specific text (or group of texts). Texts that are usually analysed in author identification include ransom notes, e-mail messages, threat letters and blackmail messages. Although author identification analysis has been done on shorter texts such as SMS messages, ransom notes and Facebook messages in the past (Ishihara 2011; McLeod and Grant 2012; Michell 2013) there is still, to some extent, insufficient research in the area of author identification of short (and extremely short) texts. Author identification in Afrikaans SMS messages has never been attempted. It is mainly for this reason that the current article, and the dissertation it is based on, is considered of value to the field of author identification (Thiart 2014).
For the purposes of this study the researcher aimed to answer three questions. First it had to be determined if a generic SMS language exists that could complicate author identification. The presence of a generic SMS language would mean that there are very few individual characteristics present when SMS messages in the corpus are compared. Secondly, it had to be determined whether individual idiolects could be identified within the supposed generic SMS language, and thirdly, to what extent it is possible to identify the author of an SMS text with the limited data available to the forensic linguist.http://www.litnet.co.za/Category/akademies/litnet-akademieshttp://reference.sabinet.co.za/sa_epublication/litnet?am2016Afrikaan
Organisational Learning and Organisational Memory for SMS and FRMS
No full textChapter 1: Organisational Learning and Organisational Memory for SMS and FRMS The European Commission HILAS project (Human Integration into theLifecycle of Aviation Systems - a project supported by the European Commission’s 6th Framework between 2005-2009) was focused on using human factors knowledge and methodology to address key challenges for aviation (current and future) including a performance based approach for safety and fatigue management in the aviation sector, mainly inflight operations and maintenance. The project Deliverables have been presented as a series of draft book chapters on Safety Management Systems with emphasis on Fatigue risk Management and organisational learning from operational experiences in aviation. The chapters also include conceptual frameworks underlying a thorough analysis of essential functions, contents and structures of a Safety Management System (SMS). This includes supporting functionalities such as investigation in just culture context, decision making processes, and safety promotion. This set of eight (8) draft chapters links theory with field implementation and regulation in airlines. The draft chapters are: Ch. 1: Organisational Learning and Organisational Memory for SMS and FRMS Ch. 2: Resilience Safety Culture in Aviation Organisations Ch. 3: Operational Risk Management System for SMS and FRMS Ch. 4: Incident Investigation in SMS and FRMS Ch. 5: Developing a Safety Management System for Fatigue Related Risks in easyJet Ch. 6: Safety Assurance Process for FRMS – easyJet case study Implementation Ch. 7: Developing a Resilient Just Culture in SMS and FRMS – easyJet case study Implementation Ch. 8: International Fatigue Risk Management Forum - Safety Promotion and Feedback in FRMSSafety Science GroupTechnology, Policy and Managemen
Operational Risk Management System for SMS and FRMS
No full textChapter 3: Operational Risk Management System for SMS and FRMS The European Commission HILAS project (Human Integration into the Lifecycle of Aviation Systems - a project supported by the European Commission’s 6th Framework between 2005-2009) was focused on using human factors knowledge and methodology to address key challenges for aviation (current and future) including a performance based approach for safety and fatigue management in the aviation sector, mainly inflight operations and maintenance. The project Deliverables have been presented as a series of draft book chapters on Safety Management Systems with emphasis on Fatigue risk Management and organisational learning from operational experiences in aviation. The chapters also include conceptual frameworks underlying a thorough analysis of essential functions, contents and structures of a Safety Management System (SMS). This includes supporting functionalities such as investigation in just culture context, decision making processes, and safety promotion. This set of eight (8) draft chapters links theory with field implementation and regulation in airlines. The draft chapters are: Ch. 1: Organisational Learning and Organisational Memory for SMS and FRMS Ch. 2: Resilience Safety Culture in Aviation Organisations Ch. 3: Operational Risk Management System for SMS and FRMS Ch. 4: Incident Investigation in SMS and FRMS Ch. 5: Developing a Safety Management System for Fatigue Related Risks in easyJet Ch. 6: Safety Assurance Process for FRMS – easyJet case study Implementation Ch. 7: Developing a Resilient Just Culture in SMS and FRMS – easyJet case study Implementation Ch. 8: International Fatigue Risk Management Forum - Safety Promotion and Feedback in FRMSSafety Science groupTechnology, Policy and Managemen
Scholar Metrics Scraper (SMS): automated retrieval of citation and author data
No full textAcademic departments, research clusters and evaluators analyze author and citation data to measure research impact and to support strategic planning. We created Scholar Metrics Scraper (SMS) to automate the retrieval of bibliometric data for a group of researchers. The project contains Jupyter notebooks that take a list of researchers as an input and exports a CSV file of citation metrics from Google Scholar (GS) to visualize the group's impact and collaboration. A series of graph outputs are also available. SMS is an open solution for automating the retrieval and visualization of citation data
Table_1_Scholar Metrics Scraper (SMS): automated retrieval of citation and author data.DOCX
No full textAcademic departments, research clusters and evaluators analyze author and citation data to measure research impact and to support strategic planning. We created Scholar Metrics Scraper (SMS) to automate the retrieval of bibliometric data for a group of researchers. The project contains Jupyter notebooks that take a list of researchers as an input and exports a CSV file of citation metrics from Google Scholar (GS) to visualize the group's impact and collaboration. A series of graph outputs are also available. SMS is an open solution for automating the retrieval and visualization of citation data.</p
- …
