Design and Implementation of Shared Bus based Heterogeneous MPSoC

An MPSoC architecture is proposed with shared bus interconnect and its components mainly comprising of soft IPs. The proposed MPSoC architecture has four masters and four slaves communicated over a shared bus interconnect. Each master deals with two 16-bit inputs and process among an output of 32-bit. The slaves are four independent RAM soft IPs to be designed to handle 32-bit data. The main theme is to make the four masters and four slaves to get their tasks accessed through a 32-bit shared bus interconnect. Initially the soft IPs of processors and RAM memory elements are to be designed and to be verified using Modelsim simulation software. Before developing the proposed architecture, a prototype of one master to four slaves (1:4) with a simple address decoding scheme has to be developed and simulated in Modelsim simulation software. The prototype model architecture should be synthesized under target device Altera Cyclone II using Quartus synthesizing tool. The proposed architecture of 4 masters and 4 slaves with a common shared bus interconnect should be achieved and implement the entire architecture over Altera FPGA board and verify its functionality

Technology Enhanced Mulsemedia Learning (TEML) for Learners with Dyslexia

Mulsemedia-multiple sensorial media- includes both traditional multimedia and human sensorial effects, which gives immersive real-world experience. The booming of new technology and wearable devices creates a new avenue for Mulsemedia research in education and has brought new opportunities for Technology Enhanced Mulsemedia Learning (TEML). Traditional methods focus on unisensory experiences, even though the surrounding environment is multisensory. Moreover, this type of learning helps to stimulate various sensory channels to reinforce the learning process, which can also more benefit individuals with a variety of learning disabilities particularly dyslexia which affects a person's ability to read. Moreover, TEML helps to obtain 21st-century learning skills such as cognitive, productivity, social-cultural, metacognitive, and technological dimensions. This paper proposes TEML for learners with dyslexia, for that, this study focuses on an approach for identifying methods for dyslexia, a method for designing Mulsemedia devices using IoT technology, and an evaluation method for performing quality of experience (QoS) using questionnaire, and physiological signals such as GSR (Galvanic Skin Responses), and EEG (Electroencephalography). Those methods help to analyze the learner's emotional responses while experiencing Mulsemedia content.This work is supported by the Centre for Machine Learning and Intelligence (CMLI) funded by the Department of Science and Technology (DST-CURIE)

Occupation-Related Health Status of Women Textile Workers in Tamil Nadu

Background: The textile industry of Tamil Nadu contributes significantly to national and state economy. The workforce in these industries mainly employ women who work on an average between 10 and 12 hours in a repetitive, awkward and sustained postures.Objective: To assess the general health status with special reference to musculoskeletal disorder (MSD) among the female textile workers. Identify association between certain socio-demographic and occupational factors with MSD.Materials and Methods: 480 female workers were interviewed from 14 factories in Tamil Nadu using a questionnaire. Questions relating to the objective of this study were selected and analyzed using SPSS.Results: Out of 480 female workers, 58.8% had MSD. Of these, maximum reported pain or weakness of any limb (40.2%) followed by back pain (34.2%). Less than 18% reported joint pain or neck stiffness. Overall 18% workers reported their general health condition to be fair or poor. Association between age (less versus more than 30 years) and education (lower than primary versus higher than secondary) with MSD showed statistical significance. Back pain was found to be significantly associated with sitting jobs (tailoring, embroidery, quality controller, etc.) compared to standing.Conclusions: This study shows that MSD with back pain is common among female textile workers. Reforms have to be brought about in the textile industries on the ergonomic aspects to prevent MSD. Health education sessions have to be conducted to prevent work-related MSD which can have positive economic benefits by increasing their productivity