The purpose of this study is to highlight how some teachers in the compulsory school for learning disabilities describe how they enable communication for pupils with autism spectrum disorders and intellectual disabilities. The study is a qualitative study based on two group interviews with three informants in each group. The informants are all working in the compulsory school for pupils with learning disabilities. The empirical data has been analyzed from a socio-cultural perspective, focusing on the concepts of mediation, appropriation, proximal development zone and scaffolding. The result shows that the teachers enable communication for students with autism spectrum disorders and intellectual disabilities in various ways, especially with visual support and augmentative and alternative communication (AAC) tools. The study shows that it is important to have knowledge about autism spectrum disorders and intellectual disability and how the disabilities affect communication with the pupils. My hope is that this study can contribute with knowledge of how communication is made possible for pupils with autism spectrum disorders and intellectual disabilities. / Syftet med denna studie är att belysa hur några pedagoger i grundsärskolan inriktning träningsskola beskriver hur de möjliggör kommunikation för elever med autismspektrumtillstånd och intellektuell funktionsnedsättning. Studien är en kvalitativ undersökning som bygger på två gruppintervjuer med tre informanter i varje grupp. Informanterna arbetar alla i grundsärskolan inriktning träningsskola. Empirin har analyserats ur ett sociokulturellt perspektiv med fokus på begreppen mediering, appropriering, proximala utvecklingszonen och scaffolding. Resultatet visar att pedagogerna möjliggör kommunikation för elever med autismspektrumtillstånd och intellektuell funktionsnedsättning på olika sätt, framför allt med visuellt stöd och alternativ kompletterande kommunikation (AKK) hjälpmedel. I studien framgår att det är viktigt att ha kunskap kring autismspektrumtillstånd och intellektuell funktionsnedsättning och hur funktionsnedsättningarna påverkar kommunikationen hos eleverna. Min förhoppning är att denna studie kan bidra med kunskap kring hur kommunikation möjliggörs för elever med autismspektrumtillstånd och intellektuell funktionsnedsättning.

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Examined in this study were some physical, mechanical, compositional and durability properties of AAC, its neighboring plasters and jointing adhesive, all of which were produced in Turkey. The compatibility of these materials inside the contemporary wall section and within historic fabric was discussed in terms of their material properties. In addition to the literature survey, laboratory studies were conducted on two types of AAC as G2 and G4, its jointing adhesive and exterior finishing layers as base coat, under coat, finish coat, water repellent finish coat / and some historical traditional construction materials of Anatolia as timber, masonry and infill brick, lime based exterior and interior plasters. The results were evaluated in terms of material properties of AAC, the compatibility of AAC and its complementary elements with each other and with the historic timber framed structures in Anatolia. It was concluded that the use of AAC in repairs of historical structures could be discussed only if the original infill is lost. In addition, its cement-plasters should be avoided from the historic fabric since they introduce salt problems to the structure. In terms of vapor permeability and modulus of elasticity, water repellent finish coat was proper finishing for AAC, and AAC, especially G4, exhibited similarities with historic infill mud brick. Further studies on other compatibility parameters were, however, necessary to decide on the compatibility of AAC with its neighboring materials. Moreover, the integrity of AAC with the historic fabric needed improvement by increasing its pozzolanicity and/or producing a new intermediary repair mortar/plaster.

Thesis (M. S.)--Electrical and Computer Engineering, Georgia Institute of Technology, 2008. / Committee Chair: Bing Benny; Committee Co-Chair: Fred B-H. Juang; Committee Member: Gee-Kung Chang. Part of the SMARTech Electronic Thesis and Dissertation Collection.

The abuse of dominant position by establishing predatory pricing raises when the undertaking, seeking to eliminate its competitor determines to sell goods for unreasonably low price, while after elimination or weakening of competition subsequently raises those prices in order to recoup losses and earn higher profits. In theory there is consensus that determination of such pricing must be based of two-tier tests, which are comprised of price-cost comparison and analysis of subjective intent. Such test has been determined in AKZO case and until recently is applicable in the EC and Lithuanian competition law. It states that the price below VKS is presumed to be predatory; in such case if the price is between VKS and VVS, it can be acknowledged to be predatory if it is used in order to eliminate the competitor. While evaluating this test, the paper discusses practical problems arising while applying VKS criterion and raises proposal to change it by more accurate VIS criterion. Moreover, paper raises the idea that dominant element in AKZO test is not economical elements, but subjective predatory intent. Therefore economical elements must be treated only as a tool, providing the possibility to disclose the content of subjective intent. While analyzing the rules for determination of predatory pricing, the paper also discusses the third criterion which settled in EC practice and maintains the possibility to determine predatory pricing even if the prices are above VVS. After critical... [to full text]

Students with significant cognitive disabilities frequently exhibit reduced communicative and academic competence. The Low Incidence Initiative (LII) project was a professional development model designed to train school-based teams to facilitate increased communicative and academic competence with such students via distance-technology coaching. This study analyzed pre-existing data from year one of the LII. Data were analyzed to determine effectiveness of the project on communication status of students and on training school personnel to accurately identify student levels of communication, and for overall satisfaction with the project. Results indicated that all student participants demonstrated improvement in expressive communication output. 100% of students who required augmentative and alternative communication (AAC) increased in the complexity of AAC used. Some improvement in school personnel’s identification of student communication levels was demonstrated, however, the continued discrepancy between LII staff and school personnel indicates a need for additional training in this area. Qualitative analysis of survey question responses, and other anecdotal information, revealed an overwhelming satisfaction with the LII model, increased communicative sophistication of students, improvements in collaborative teaming, increased access to general curriculum for students, and improvement in school personnel skill-level. Implications of the results of this study and areas for future research are discussed.

Audio coding is used to compress digital audio signals, thereby reducing the amount of bits needed to transmit or to store an audio signal. This is useful when network bandwidth or storage capacity is very limited. Audio compression algorithms are based on an encoding and decoding process. In the encoding step, the uncompressed audio signal is transformed into a coded representation, thereby compressing the audio signal. Thereafter, the coded audio signal eventually needs to be restored (e.g. for playing back) through decoding of the coded audio signal. The decoder receives the bitstream and reconverts it into an uncompressed signal. ISO-MPEG is a standard for high-quality, low bit-rate video and audio coding. The audio part of the standard is composed by algorithms for high-quality low-bit-rate audio coding, i.e. algorithms that reduce the original bit-rate, while guaranteeing high quality of the audio signal. The audio coding algorithms consists of MPEG-1 (with three different layers), MPEG-2, MPEG-2 AAC, and MPEG-4. This work presents a study of the MPEG-4 AAC audio coding algorithm. Besides, it presents the implementation of the AAC algorithm on different platforms, and comparisons among implementations. The implementations are in C language, in Assembly of Intel Pentium, in C-language using DSP processor, and in HDL. Since each implementation has its own application niche, each one is valid as a final solution. Moreover, another purpose of this work is the comparison among these implementations, considering estimated costs, execution time, and advantages and disadvantages of each one.

Audio coding is used to compress digital audio signals, thereby reducing the amount of bits needed to transmit or to store an audio signal. This is useful when network bandwidth or storage capacity is very limited. Audio compression algorithms are based on an encoding and decoding process. In the encoding step, the uncompressed audio signal is transformed into a coded representation, thereby compressing the audio signal. Thereafter, the coded audio signal eventually needs to be restored (e.g. for playing back) through decoding of the coded audio signal. The decoder receives the bitstream and reconverts it into an uncompressed signal. ISO-MPEG is a standard for high-quality, low bit-rate video and audio coding. The audio part of the standard is composed by algorithms for high-quality low-bit-rate audio coding, i.e. algorithms that reduce the original bit-rate, while guaranteeing high quality of the audio signal. The audio coding algorithms consists of MPEG-1 (with three different layers), MPEG-2, MPEG-2 AAC, and MPEG-4. This work presents a study of the MPEG-4 AAC audio coding algorithm. Besides, it presents the implementation of the AAC algorithm on different platforms, and comparisons among implementations. The implementations are in C language, in Assembly of Intel Pentium, in C-language using DSP processor, and in HDL. Since each implementation has its own application niche, each one is valid as a final solution. Moreover, another purpose of this work is the comparison among these implementations, considering estimated costs, execution time, and advantages and disadvantages of each one.

Dissertação (mestrado)—Universidade de Brasília, Instituto de Ciências Exatas, Departamento de Ciência da Computação, 2013. / Submitted by Alaíde Gonçalves dos Santos (alaide@unb.br) on 2014-01-21T10:04:59Z No. of bitstreams: 1 2013_RenatoCoralSampaio.pdf: 3776105 bytes, checksum: ec34db0ab9261723cadcfe2fd5f9432e (MD5) / Approved for entry into archive by Guimaraes Jacqueline(jacqueline.guimaraes@bce.unb.br) on 2014-02-14T11:52:25Z (GMT) No. of bitstreams: 1 2013_RenatoCoralSampaio.pdf: 3776105 bytes, checksum: ec34db0ab9261723cadcfe2fd5f9432e (MD5) / Made available in DSpace on 2014-02-14T11:52:25Z (GMT). No. of bitstreams: 1 2013_RenatoCoralSampaio.pdf: 3776105 bytes, checksum: ec34db0ab9261723cadcfe2fd5f9432e (MD5) / A Codificação de áudio está presente hoje nos mais diversos aparelhos eletrônicos desde o rádio, a televisão, o computador, os tocadores de música portáteis e nos celulares. Em 2007, o governo do Brasil definiu o padrão do Sistema Brasileiro de TV Digital (SBTVD) que adotou o AAC Advanced Audio Coding para codificação de áudio. Neste trabalho, utilizamos a abordagem de coprojeto combinando software e hardware para implementar uma solução de alto desempenho e baixo consumo de energia em um FPGA, capaz de decodificar até 6 canais de áudio em tempo real. Apresentamos os detalhes da solução bem como os testes de desempenho e qualidade. Por fim, apresentamos os resultados de utilização de hardware e performance juntamente com uma comparação com as demais soluções encontradas na literatura. _______________________________________________________________________________________ ABSTRACT / Audio Coding is present today in many electronic devices. It can be found in radio, tv, computers, portable audio players and mobile phones. In 2007 the Brazilian Government defined the brazilian Digital TV System standard (SBTVD) and adopted the AAC - Advanced Audio Coding as the audio codec. In this work we use the co-design of hardware and software approach to implement a high performance and low energy solution on an FPGA, able to decode up to 6 channels of audio in real-time. The solution architecture and details are presented along with performance and quality tests. Finally, hardware usage and performance results are presented and compared to other solutions found in literature.

Audio coding is used to compress digital audio signals, thereby reducing the amount of bits needed to transmit or to store an audio signal. This is useful when network bandwidth or storage capacity is very limited. Audio compression algorithms are based on an encoding and decoding process. In the encoding step, the uncompressed audio signal is transformed into a coded representation, thereby compressing the audio signal. Thereafter, the coded audio signal eventually needs to be restored (e.g. for playing back) through decoding of the coded audio signal. The decoder receives the bitstream and reconverts it into an uncompressed signal. ISO-MPEG is a standard for high-quality, low bit-rate video and audio coding. The audio part of the standard is composed by algorithms for high-quality low-bit-rate audio coding, i.e. algorithms that reduce the original bit-rate, while guaranteeing high quality of the audio signal. The audio coding algorithms consists of MPEG-1 (with three different layers), MPEG-2, MPEG-2 AAC, and MPEG-4. This work presents a study of the MPEG-4 AAC audio coding algorithm. Besides, it presents the implementation of the AAC algorithm on different platforms, and comparisons among implementations. The implementations are in C language, in Assembly of Intel Pentium, in C-language using DSP processor, and in HDL. Since each implementation has its own application niche, each one is valid as a final solution. Moreover, another purpose of this work is the comparison among these implementations, considering estimated costs, execution time, and advantages and disadvantages of each one.