Complexity in Second Language Study Emotions

This book offers a socially situated view of the emergence of emotionality for additional language (L2) learners in classroom interaction in Japan. Grounded in a complexity perspective, the author argues that emotions need to be studied as they are dynamically experienced and understood in all of their multidimensional colors by individuals (in interaction). Via practitioner research, Sampson applies a small-lens focus, interweaving experiential and discursive data, offering possibilities for exploring, interpreting and representing the lived experience of L2 study emotions in a more holistic yet detailed, social yet individual fashion. Amidst the currently expanding interest in L2 study emotions, the book presents a strong case for the benefits of locating interpretations of the emergence of L2 study emotions back into situated, dynamic, social context. Sampson’s work will be of interest to students and researchers in second language acquisition and L2 learning psychology

Improving Instruction Fetch Rate with Code Pattern Cache for Superscalar Architecture

In the past, instruction fetch speeds have been improved by using cache schemes that capture the actual program flow. In this proposal, we present the architecture of a new instruction cache named code pattern cache (CPC); the cache is used with superscalar processors. CPC?s operation is based on the fundamental principles that: common programs tend to repeat their execution patterns; and efficient storage of a program flow can enhance the performance of an instruction fetch mechanism. CPC saves basic blocks (sets of instructions separated by control instructions) and their boundary addresses while the code is running. Basic blocks and their addresses are stored in two separate structures, called block pointer cache (BPC) and basic block cache (BBC), respectively. Later, if the same basic block sequence is expected to execute, it is fetched from CPC, instead of the instruction cache; this mechanism results in higher likelihood of delivering a larger number of instructions in every clock cycle. We developed single and multi-threaded simulators for TC, BC, and CPC, and used them with 10 SPECint2000 benchmarks. The simulation results demonstrated CPC?s advantage over TC and BC, in terms of trace miss rate and average trace length. Additionally, we used cache models to quantify the timing, area, and power for the three cache schemes. Using an aggregate performance index that combined the simulation and modeling results, CPC was shown to perform better than both TC and BC. During our research, each of the TC-, BC-, or CPC- configurations took 4-6 hours to simulate, so performance comparison of these caches proved to be a very time-consuming process. Neural network models (NNM?s) can be time-efficient alternatives to simulations, so we studied their feasibility to represent the cache behavior. We developed two NNM\u27s, one to predict the trace miss rate and the other to predict the average trace length for the three caches. The NNM\u27s modeled the caches with reasonable accuracy, and produced results in a fraction of a second

On the Road to 6G: Visions, Requirements, Key Technologies and Testbeds

Fifth generation (5G) mobile communication systems have entered the stage of commercial development, providing users with new services and improved user experiences as well as offering a host of novel opportunities to various industries. However, 5G still faces many challenges. To address these challenges, international industrial, academic, and standards organizations have commenced research on sixth generation (6G) wireless communication systems. A series of white papers and survey papers have been published, which aim to define 6G in terms of requirements, application scenarios, key technologies, etc. Although ITU-R has been working on the 6G vision and it is expected to reach a consensus on what 6G will be by mid-2023, the related global discussions are still wide open and the existing literature has identified numerous open issues. This paper first provides a comprehensive portrayal of the 6G vision, technical requirements, and application scenarios, covering the current common understanding of 6G. Then, a critical appraisal of the 6G network architecture and key technologies is presented. Furthermore, existing testbeds and advanced 6G verification platforms are detailed for the first time. In addition, future research directions and open challenges are identified for stimulating the on-going global debate. Finally, lessons learned to date concerning 6G networks are discussed

Mapping out our space in stories: A high school curriculum for a social justice tour of San Francisco

How do youth engage with the spaces around them? In what ways might students connect their personal, lived knowledge to the politics and intricacies of space? The manners in which schools approach outside-of-school learning includes non-critical Place-Based Learning and field trips as optional material; however, doing so breaks the powerful relationship waiting to be explored between Critical Geography and Critical Education. This field project uses Henri Lefebvre’s concepts of The Production of Space and Rhythmanalysis as foundations to argue for the implementation of Critical Geography into high school curricula, and offers a 9-week high school curriculum to create a student-led social justice tour of San Francisco for educators to get started. Inspired by Dr. Natchee Blu Barnd’s Ethnohistory Methodology class at Oregon State University, the curriculum builds upon the Freirean concept of critical consciousness by using critical notions of space and geographic methods as the bridges to complete the final project: a social justice tour of San Francisco

Practical, appropriate, empirically-validated guidelines for designing educational games

There has recently been a great deal of interest in the potential of computer games to function as innovative educational tools. However, there is very little evidence of games fulfilling that potential. Indeed, the process of merging the disparate goals of education and games design appears problematic, and there are currently no practical guidelines for how to do so in a coherent manner. In this paper, we describe the successful, empirically validated teaching methods developed by behavioural psychologists and point out how they are uniquely suited to take advantage of the benefits that games offer to education. We conclude by proposing some practical steps for designing educational games, based on the techniques of Applied Behaviour Analysis. It is intended that this paper can both focus educational games designers on the features of games that are genuinely useful for education, and also introduce a successful form of teaching that this audience may not yet be familiar with

Interdisciplining Digital Humanities: Boundary Work in an Emerging Field

The first book to test the claim that the emerging field of Digital Humanities is interdisciplinary and also examines the boundary work of establishing and sustaining a new field of stud

Lessons From the Decoding and Coding of National Constitutions

Governmen

Security and trust in cloud computing and IoT through applying obfuscation, diversification, and trusted computing technologies

Cloud computing and Internet of Things (IoT) are very widely spread and commonly used technologies nowadays. The advanced services offered by cloud computing have made it a highly demanded technology. Enterprises and businesses are more and more relying on the cloud to deliver services to their customers. The prevalent use of cloud means that more data is stored outside the organization’s premises, which raises concerns about the security and privacy of the stored and processed data. This highlights the significance of effective security practices to secure the cloud infrastructure. The number of IoT devices is growing rapidly and the technology is being employed in a wide range of sectors including smart healthcare, industry automation, and smart environments. These devices collect and exchange a great deal of information, some of which may contain critical and personal data of the users of the device. Hence, it is highly significant to protect the collected and shared data over the network; notwithstanding, the studies signify that attacks on these devices are increasing, while a high percentage of IoT devices lack proper security measures to protect the devices, the data, and the privacy of the users. In this dissertation, we study the security of cloud computing and IoT and propose software-based security approaches supported by the hardware-based technologies to provide robust measures for enhancing the security of these environments. To achieve this goal, we use obfuscation and diversification as the potential software security techniques. Code obfuscation protects the software from malicious reverse engineering and diversification mitigates the risk of large-scale exploits. We study trusted computing and Trusted Execution Environments (TEE) as the hardware-based security solutions. Trusted Platform Module (TPM) provides security and trust through a hardware root of trust, and assures the integrity of a platform. We also study Intel SGX which is a TEE solution that guarantees the integrity and confidentiality of the code and data loaded onto its protected container, enclave. More precisely, through obfuscation and diversification of the operating systems and APIs of the IoT devices, we secure them at the application level, and by obfuscation and diversification of the communication protocols, we protect the communication of data between them at the network level. For securing the cloud computing, we employ obfuscation and diversification techniques for securing the cloud computing software at the client-side. For an enhanced level of security, we employ hardware-based security solutions, TPM and SGX. These solutions, in addition to security, ensure layered trust in various layers from hardware to the application. As the result of this PhD research, this dissertation addresses a number of security risks targeting IoT and cloud computing through the delivered publications and presents a brief outlook on the future research directions.Pilvilaskenta ja esineiden internet ovat nykyään hyvin tavallisia ja laajasti sovellettuja tekniikkoja. Pilvilaskennan pitkälle kehittyneet palvelut ovat tehneet siitä hyvin kysytyn teknologian. Yritykset enenevässä määrin nojaavat pilviteknologiaan toteuttaessaan palveluita asiakkailleen. Vallitsevassa pilviteknologian soveltamistilanteessa yritykset ulkoistavat tietojensa käsittelyä yrityksen ulkopuolelle, minkä voidaan nähdä nostavan esiin huolia taltioitavan ja käsiteltävän tiedon turvallisuudesta ja yksityisyydestä. Tämä korostaa tehokkaiden turvallisuusratkaisujen merkitystä osana pilvi-infrastruktuurin turvaamista. Esineiden internet -laitteiden lukumäärä on nopeasti kasvanut. Teknologiana sitä sovelletaan laajasti monilla sektoreilla, kuten älykkäässä terveydenhuollossa, teollisuusautomaatiossa ja älytiloissa. Sellaiset laitteet keräävät ja välittävät suuria määriä informaatiota, joka voi sisältää laitteiden käyttäjien kannalta kriittistä ja yksityistä tietoa. Tästä syystä johtuen on erittäin merkityksellistä suojata verkon yli kerättävää ja jaettavaa tietoa. Monet tutkimukset osoittavat esineiden internet -laitteisiin kohdistuvien tietoturvahyökkäysten määrän olevan nousussa, ja samaan aikaan suuri osuus näistä laitteista ei omaa kunnollisia teknisiä ominaisuuksia itse laitteiden tai niiden käyttäjien yksityisen tiedon suojaamiseksi. Tässä väitöskirjassa tutkitaan pilvilaskennan sekä esineiden internetin tietoturvaa ja esitetään ohjelmistopohjaisia tietoturvalähestymistapoja turvautumalla osittain laitteistopohjaisiin teknologioihin. Esitetyt lähestymistavat tarjoavat vankkoja keinoja tietoturvallisuuden kohentamiseksi näissä konteksteissa. Tämän saavuttamiseksi työssä sovelletaan obfuskaatiota ja diversifiointia potentiaalisiana ohjelmistopohjaisina tietoturvatekniikkoina. Suoritettavan koodin obfuskointi suojaa pahantahtoiselta ohjelmiston takaisinmallinnukselta ja diversifiointi torjuu tietoturva-aukkojen laaja-alaisen hyödyntämisen riskiä. Väitöskirjatyössä tutkitaan luotettua laskentaa ja luotettavan laskennan suoritusalustoja laitteistopohjaisina tietoturvaratkaisuina. TPM (Trusted Platform Module) tarjoaa turvallisuutta ja luottamuksellisuutta rakentuen laitteistopohjaiseen luottamukseen. Pyrkimyksenä on taata suoritusalustan eheys. Työssä tutkitaan myös Intel SGX:ää yhtenä luotettavan suorituksen suoritusalustana, joka takaa suoritettavan koodin ja datan eheyden sekä luottamuksellisuuden pohjautuen suojatun säiliön, saarekkeen, tekniseen toteutukseen. Tarkemmin ilmaistuna työssä turvataan käyttöjärjestelmä- ja sovellusrajapintatasojen obfuskaation ja diversifioinnin kautta esineiden internet -laitteiden ohjelmistokerrosta. Soveltamalla samoja tekniikoita protokollakerrokseen, työssä suojataan laitteiden välistä tiedonvaihtoa verkkotasolla. Pilvilaskennan turvaamiseksi työssä sovelletaan obfuskaatio ja diversifiointitekniikoita asiakaspuolen ohjelmistoratkaisuihin. Vankemman tietoturvallisuuden saavuttamiseksi työssä hyödynnetään laitteistopohjaisia TPM- ja SGX-ratkaisuja. Tietoturvallisuuden lisäksi nämä ratkaisut tarjoavat monikerroksisen luottamuksen rakentuen laitteistotasolta ohjelmistokerrokseen asti. Tämän väitöskirjatutkimustyön tuloksena, osajulkaisuiden kautta, vastataan moniin esineiden internet -laitteisiin ja pilvilaskentaan kohdistuviin tietoturvauhkiin. Työssä esitetään myös näkemyksiä jatkotutkimusaiheista