MétaCan
Menu
Back to cohort
Record W2073887220 · doi:10.1109/tce.2004.1362513

Design and implementation of user interface for mobile devices

2004· article· en· W2073887220 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueIEEE Transactions on Consumer Electronics · 2004
Typearticle
Languageen
FieldSocial Sciences
TopicMultimedia Communication and Technology
Canadian institutionsDalhousie University
Fundersnot available
KeywordsGeneral Packet Radio ServiceComputer scienceBluetoothUser interface designUser interfaceMobile deviceInterface (matter)10-foot user interfaceMobile computingNatural user interfaceEmbedded systemSerial portComputer networkGSMWirelessHuman–computer interactionTelecommunicationsOperating systemSoftware

Abstract

fetched live from OpenAlex

The inspiration behind the wireless world came from the need to provide users with mobility and to offer an alternative to the limitations of wired mediums. As a result, there are various wireless mobile technologies like GSM, GPRS, WLAN, and Bluetooth available. The user interface and the size of mobile devices are one of the main concerns in the design of mobile devices. In this paper, we design a single-layered touch screen based user interface. Unlike conventional multi-layered user interface, a single-layered user interface will make the user interface more user-friendly with smaller size. The memory requirements can be further reduced by implementing it in low-level languages. After design and implementation of the user interface, we integrate the user interface with the hardware of mobile devices through serial port with the help of AT commands.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.896
Threshold uncertainty score0.398

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.027
GPT teacher head0.362
Teacher spread0.335 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it