Dataset Information

Data Processing and Information Classification-An In-Memory Approach.

ABSTRACT: To live in the information society means to be surrounded by billions of electronic devices full of sensors that constantly acquire data. This enormous amount of data must be processed and classified. A solution commonly adopted is to send these data to server farms to be remotely elaborated. The drawback is a huge battery drain due to high amount of information that must be exchanged. To compensate this problem data must be processed locally, near the sensor itself. But this solution requires huge computational capabilities. While microprocessors, even mobile ones, nowadays have enough computational power, their performance are severely limited by the Memory Wall problem. Memories are too slow, so microprocessors cannot fetch enough data from them, greatly limiting their performance. A solution is the Processing-In-Memory (PIM) approach. New memories are designed that can elaborate data inside them eliminating the Memory Wall problem. In this work we present an example of such a system, using as a case of study the Bitmap Indexing algorithm. Such algorithm is used to classify data coming from many sources in parallel. We propose a hardware accelerator designed around the Processing-In-Memory approach, that is capable of implementing this algorithm and that can also be reconfigured to do other tasks or to work as standard memory. The architecture has been synthesized using CMOS technology. The results that we have obtained highlights that, not only it is possible to process and classify huge amount of data locally, but also that it is possible to obtain this result with a very low power consumption.

SUBMITTER: Andrighetti M

PROVIDER: S-EPMC7146182 | biostudies-literature | 2020 Mar

REPOSITORIES: biostudies-literature

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Publications

Data Processing and Information Classification-An In-Memory Approach.

Andrighetti Milena M Turvani Giovanna G Santoro Giulia G Vacca Marco M Marchesin Andrea A Ottati Fabrizio F Ruo Roch Massimo M Graziano Mariagrazia M Zamboni Maurizio M

Sensors (Basel, Switzerland) 20200318 6

To live in the information society means to be surrounded by billions of electronic devices full of sensors that constantly acquire data. This enormous amount of data must be processed and classified. A solution commonly adopted is to send these data to server farms to be remotely elaborated. The drawback is a huge battery drain due to high amount of information that must be exchanged. To compensate this problem data must be processed locally, near the sensor itself. But this solution requires h ...[more]

PMID: 32197308

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Project description:ObjectiveChildren with ADHD demonstrate impaired performance on a wide range of neuropsychological tests. It is unclear, however, whether ADHD is associated with many neurocognitive deficits or whether a small number of impairment(s) broadly influence test performance. The current study tests competing model predictions regarding two candidate causal mechanisms in ADHD: information processing speed and working memory.MethodA well-characterized sample of 86 children (Mage = 10.52, SDage = 1.54; 34 girls; 64% Caucasian/Non-Hispanic) with ADHD (n = 45) and without ADHD (n = 41) completed eight fully crossed experimental tasks that systematically manipulated working memory (BF?? = 1.80 × 10?³) and information processing speed (drift rate; BF?? = 7.61 × 10?).ResultsBayesian mixed-model ANOVAs indicated that increasing working memory demands produced significant reductions in information processing speed (drift rate; BF?? = 5.82 × 10??). In contrast, experimentally reducing children's information processing speed did not significantly change their working memory performance (BF?? = 1.31). ADHD status interacted with the working memory manipulation, such that the ADHD and non-ADHD groups showed equivalently high accuracy under the encoding-only conditions (BF?? = 3.45) but differed significantly under high working memory conditions (encoding + recall; BF?? = 19.58). Importantly, however, ADHD status failed to interact with (a) the working memory manipulation to differentially affect information processing speed and (b) the information processing speed manipulation to differentially affect working memory performance (all BF?? > 4.25).ConclusionsThese findings indicate that top-down executive control exerts significant effects on children's ability to quickly process information, but that working memory deficits and slowed information processing speed appear to be relatively independent impairments in ADHD. (PsycINFO Database Record (c) 2020 APA, all rights reserved).

Project description:BACKGROUND:In order to give a wide range of people the opportunity to ensure and support home care, one approach is to develop medical devices that are as user-friendly as possible. This allows nonexperts to use medical devices that were originally too complicated to use. For a user-centric development of such medical devices, it is essential to understand which user interface design best supports patients, caregivers, and health care professionals. OBJECTIVE:Using the benefits of mobile eye tracking, this work aims to gain a deeper understanding of the challenges of user cognition. As a consequence, its goal is to identify the obstacles to the usability of the features of two different designs of a single medical device user interface. The medical device is a patient assistance device for home use in peritoneal dialysis therapy. METHODS:A total of 16 participants, with a subset of seniors (8/16, mean age 73.7 years) and young adults (8/16, mean age 25.0 years), were recruited and participated in this study. The handling cycle consisted of seven main tasks. Data analysis started with the analysis of task effectiveness for searching for error-related tasks. Subsequently, the in-depth gaze data analysis focused on these identified critical tasks. In order to understand the challenges of user cognition in critical tasks, gaze data were analyzed with respect to individual user interface features of the medical device system. Therefore, it focused on the two dimensions of dwell time and fixation duration of the gaze. RESULTS:In total, 97% of the handling steps for design 1 and 96% for design 2 were performed correctly, with the main challenges being task 1 insert, task 2 connect, and task 6 disconnect for both designs. In order to understand the two analyzed dimensions of the physiological measurements simultaneously, the authors propose a new graphical representation. It distinguishes four different patterns to compare the eye movements associated with the two designs. The patterns identified for the critical tasks are consistent with the results of the task performance. CONCLUSIONS:This study showed that mobile eye tracking provides insights into information processing in intensive handling tasks related to individual user interface features. The evaluation of each feature of the user interface promises an optimal design by combining the best found features. In this way, manufacturers are able to develop products that can be used by untrained people without prior knowledge. This would allow home care to be provided not only by highly qualified nurses and caregivers, but also by patients themselves, partners, children, or neighbors.

Dataset Information

Data Processing and Information Classification-An In-Memory Approach.

Publications

Data Processing and Information Classification-An In-Memory Approach.

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