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Accepted Papers
Integrating Hw/sw Functionality for Flexiblewireless Radio

Alexander Strachan and Nigel Topham, School of Informatics, University of Edinburgh, Edinburgh, Scotland, EH8 9AB

ABSTRACT

Current methods of implementing wireless radio typically take one of two forms; either dedicated fixed-function hardware, or pure Software Defined Radio (SDR). Fixed function hardware is efficient, but being specific to each radio standard it lacks flexibility, whereas Software Defined Radio is highly flexible but requires powerful processors to meet real-time performance constraints. This paper presents a hybrid hardware/software approach that aims to combine the flexibility of SDR with the efficiency of dedicated hardware solutions. We evaluate this approach by simulating five variants of the IEEE 802.15.4 protocol, commonly known as Zigbee, and demonstrate the range of performance and power consumption characteristics for different accelerator and software configurations. Across the spectrum of configurations we see power consumption varies from 8% to 38% of a dedicated hardware implementation, and show how the hybrid approach allows a new modulation standard to be retrofitted to an existing design, with only a modest increase in power consumption.

KEYWORDS

Wireless Radio, Digital Signal Processing, Embedded Systems, Computer Architecture, Accelerators.


Sensory Technology in Eleam:innovating in Comprehensive Care and Fall Detection in Older Adults

Mauricio Figueroa Colarte, School of Informatics and Telecommunications, Fundación Instituto Profesional DUOC UC, Viña del Mar, Chile

ABSTRACT

In the Chilean context, Long Stay Establishments for the Elderly (ELEAM) face significant challenges in comprehensive care and prevention of falls, critical incidents for this population. This project, called "ELEAM@TIC", explores the incorporation of sensor-based technology as an innovative strategy to address these problems. Through a multidisciplinary approach, the research team, led by Mauricio Figueroa Colarte, evaluated the effectiveness and acceptability of different types of sensors strategically placed on users. Preliminary results indicate that technical aspects must be improved for a notable improvement in early risk detection and response to fall incidents, suggesting significant potential to improve the quality of life of older adults in ELEAM. This project lays the foundation for future research and development in the field of inclusive technology and comprehensive care for the elderly.

KEYWORDS

Falls Detection, Wereable, Sensors, Older Adults, Inclusive Technology.


Integrated Mortality Package to Construct Life Tables by Indirect Techniques

Salih Hamza Abuelyamen, Retired from the Central Bureau of Statistics in Sudan, Association of retired staff from the Central Bureau of Statistics - Sudan, Private Researcher

ABSTRACT

Because of memory lapse, social and other factors, direct questions on mortality status in demographic and health surveys or population censuses would not reveal accurate and complete information. Hence demographers used to apply indirect questions in data collection stage, and indirect techniques to estimate mortality indicators’ values from this data. One of the famous methods in this respect is Brass Combined Method to construct life tables by combination of child and adult survival data. To produce this information from surveys or censuses it takes a lot of time, in addition to that, the calculations include sophisticated equations using auxiliary information from different sources. This paper present computer integrated package to execute all stages of this job, starting from questionnaire design; data entry, data editing, data processing, calculation of child and adult mortality indicators and construction of life tables by this method. It is also designed to accept row data from different statistical censuses and surveys that include the required information.

KEYWORDS

Life table, Mortality, Adult, Child, Data entry.


Lore: Logit-ranked Retriever Ensemble for Enhancing Open-domain Question Answering

Saikrishna Sanniboina, Shiv Trivedi and Sreenidhi Vijayaraghavan, University of Illinois at Urbana-Champaign, USA

ABSTRACT

Retrieval-based question answering systems often suffer from positional bias, leading to suboptimal answer generation. We propose LoRE (Logit-Ranked Retriever Ensemble), a novel approach that improves answer accuracy and relevance by mitigating positional bias. LoRE employs an ensemble of diverse retrievers, such as BM25 and sentence transformers with FAISS indexing. A key innovation is a logit-based answer ranking algorithm that combines the logit scores from a large language model (LLM), with the retrieval ranks of the passages. Experimental results on NarrativeQA, SQuAD demonstrate that LoRE significantly outperforms existing retrieval-based methods in terms of exact match and F1 scores. On SQuAD, LoRE achieves 14.5%, 22.83%, and 14.95% improvements over the baselines for ROUGE-L, EM, and F1, respectively. Qualitatively, LoRE generates more relevant and accurate answers, especially for complex queries.

KEYWORDS

Open-Domain Question Answering, Positional Bias, Sentence Transformers, Answer Ranking, Retrieval-Augmented Generation.


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