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Mobile — 71
NSL — 19
NSL Project — 2

HiCH: Hierarchical Fog-Assisted Computing Architecture for Healthcare IoT

by Sihyeong Park on 2017-11-14 17:37:30

Date : 2017. 11. 20 (Mon) 17:00 Locate : EB5. 533 Presenter : Sihyeong Park   Title : HiCH: Hierarchical Fog-Assisted Computing Architecture for Healthcare IoT ACM Transactions on Embedded Computing Systems (TECS) - Special Issue ESWEEK 2017, CASES 2017, CODES + ISSS 2017 and EMSOFT 2017 TECS  Volume 16 Issue 5s, October 2017  Article No. 174    Author : Iman Azimi University of Turku, Turku, Finland, Arman Anzanpour University of Turku, Turku, Finland, Amir M. Rahmani University of California Irvine and TU Wien, Irvine, CA, USA, Tapio Pahikkala University of Turku, Turku, Finland, Marco Levorato University of California Irvine, Irvine, CA, USA, Pasi Liljeberg University of Turku, Turku, Finland, Nikil Dutt University of California Irvine, Irvine, CA, US Abstract : The Internet of Things (IoT) paradigm holds significant promises for remote health monitoring systems. Due to their life- or mission-critical nature, these ... Continue reading →

6 Views

BackDoor: Making Microphones Hear Inaudible Sounds

by Jinse Kwon on 2017-11-09 15:32:30

Date : 2017. 11. 13 (Mon) 17:00 Locate : EB5. 533 Presenter : Jinse Kwon   Title : BackDoor: Making Microphones Hear Inaudible Sounds (mobisys 2017 Best paper) Author : Nirupam Roy, Haitham Hassanieh, Romit Roy Choudhury (University of Illinois at Urbana-Champaign)   Abstract : Consider sounds, say at 40kHz, that are completely outside the human's audible range (20kHz), as well as a microphone's recordable range (24kHz). We show that these high frequency sounds can be designed to become recordable by unmodified microphones, while remaining inaudible to humans. The core idea lies in exploiting non-linearities in microphone hardware. Briefly, we design the sound and play it on a speaker such that, after passing through the microphone's non-linear diaphragm and power-amplifier, the signal creates a "shadow" in the audible frequency range. The shadow can be regulated to carry data bits, thereby enabling an acoustic ... Continue reading →

12 Views

YOLO-based Object Detection on ARM Mali GPU

by Do Trung Hai on 2017-11-04 15:06:05

Date : 2017.11.06(Mon) 05:00 P.M. Locate : EB5. 533 Presenter : Trunghai Do Title : YOLO-based Object Detection on ARM Mali GPU Author : Trunghai Do, Jemin Lee, Hyungshin Kim Abstract Nowadays, convolutional neural networks become the heart of many computer vision solutions to solve a wide range of tasks including image classification, object detection and  segmentation. In this paper, we present YOLO implementation on ARM Mali-T628 MP6 GPU of ODROID-XU4. Original YOLO algorithm was implemented by Darknet framework dedicated for NVIDIA GPU. Unlike Darknet, we use CK-Caffe as a deep learning backend to run YOLO on ARM-based GPUs. Additionally, we replace all fully connected layers which act as detection layers in YOLO with convolutional layers to reduce the model size. We train our GoogLeNet-based and Fast YOLO-based models on canonical PASCAL VOC2007 + VOC2012 "trainval" (training + validation) set on NVIDIA GTX-1080 and experiment on ... Continue reading →

22 Views

스마트폰 알림 장소에 따른 사용자 반응 분석

by Seula Hwang on 2017-10-30 14:06:01

Date : 2017.10.30(Mon) 05:30 P.M. Locate : EB5. 533 Presenter : Hwang, Seula Title : 스마트폰 알림 장소에 따른 사용자 반응 분석 Article source:  Continue reading →

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더블 버퍼링을 사용하는 OpenCL 프로그램에서 글로벌 워크 크기 최적화

by Ikhee Shin on 2017-10-30 13:21:21

  Date : 2017.10.30(Mon) 05:00 P.M. Locate : EB5. 533 Presenter : Ikhee Shin Title : 더블 버퍼링을 사용하는 OpenCL 프로그램에서 글로벌 워크 크기 최적화 Continue reading →

14 Views

임베디드 하드웨어 저전력 기능을 활용한 웨어러블 운영체제의 하이브리드 가버너

by Sungyup Lee on 2017-10-22 20:32:05

Date : 2017.10.22(Mon) 05:00 P.M. Locate : EB5. 533 Presenter : Sungyup Lee Title : 임베디드 하드웨어 저전력 기능을 활용한 웨어러블 운영체제의 하이브리드 가버너 Continue reading →

28 Views

No Need to Stop What You’re Doing: Exploring No-Handed Smartwatch Interaction

by Jinyoung Choi on 2017-06-23 19:23:54

Date : 2017.06.26(Mon) 04:00 P.M. Locate : EB5. 533 Presenter : Jinyoung Choi Title : No Need to Stop What You’re Doing: Exploring No-Handed Smartwatch Interaction Author : Seongkook Heo, Michelle Annett, Ben Lafreniere, Tovi Grossman, George Fitzmaurice Abstract Smartwatches have the potential to enable quick micro-interactions throughout daily life. However, because they require both hands to operate, their full potential is constrained, particularly in situations where the user is actively performing a task with their hands. We investigate the space of no-handed interaction with smartwatches in scenarios where one or both hands are not free. Specifically, we present a taxonomy of scenarios in which standard touchscreen interaction with smartwatches is not possible, and discuss the key constraints that limit such interaction. We then implement a set of interaction techniques and evaluate them via two user studies: one where participants viewed video ... Continue reading →

176 Views

Performance Analysis of IEEE 802.15.4 Non-beacon Mode with the Unslotted CSMA/CA

by Sungyup Lee on 2017-05-15 11:23:24

Date : 2017.05.15(Mon) 04:00 P.M. Locate : EB5. 533 Presenter : Sungyup Lee Title : Performance Analysis of IEEE 802.15.4 Non-beacon Mode with the Unslotted CSMA/CA Author : Tae Ok Kim, Jin Soo Park, Hak Jin Chong, Kyung Jae Kim, Bong Dae Choi, Member of IEEE Abstract We provide a simple mathematical model of IEEE 802.15.4 unslotted CSMA/CA by busy cycle of M/G/1 queueing system to obtain several performance measures. Our performance measures can be used for determining the optimal number of devices while supporting the required QoS constraints on the average packet delay and the packet loss probability, and also for calculating battery lifetime. Proceeding : IEEE COMMUNICATIONS LETTERS, VOL. 12, NO.4, APRIL 2008 Continue reading →

239 Views

Adaptive Optimization for OpenCL Programs on Embedded Heterogeneous Systems

by Ikhee Shin on 2017-05-08 09:07:26

Date : 2017.05.08(Mon) 04:00 P.M. Locate : EB5. 533 Presenter : Ikhee Shin Title : Adaptive Optimization for OpenCL Programs on Embedded Heterogeneous Systems Author : Ben Taylor, Vicent Sanz Marco, Zheng Wang  Abstract Heterogeneous multi-core architectures consisting of CPUs and GPUs are commonplace in today’s embedded systems. These architectures offer potential for energy efficient computing if the application task is mapped to the right core. Realizing such potential is challenging due to the complex and evolving natural of hardware and applications. This paper presents an automatic approach to map OpenCL kernels onto heterogeneous multi-cores for a given optimization criterion – whether it is faster runtime, lower energy consumption or a trade-off between them. This is achieved by developing a machine learning based approach to predict which processor to use to run the OpenCL kernel and the host program, and at what frequency ... Continue reading →

318 Views

Predicting Sensory Data and Extending Battery Life for Wearable Devices

by Seula Hwang on 2017-04-28 14:38:15

Date : 2017.05.01(Mon) 04:00 P.M. Locate : EB5. 533 Presenter : Seula Hwang Title : Predicting Sensory Data and Extending Battery Life for Wearable Devices Author : Songchun Fan, Qiuyun Llull, Benjamin C. Lee Abstract Telepath is a framework that supports communication-free offloading for wearable devices. With offline training, activity recognition tasks can be offloaded from the wearable to the user's phone, without transferring raw sensing data. The key observation is that when the user is carrying both devices, the sensing streams on the two devices are highly correlated. By exploiting the correlation, the phone can estimate the wearable's sensing data and emulate the watch. Our evaluations shows that with Telepath, the phone performs accurately on activity recognition tasks that are designed for smart watches, achieving on average 87% of the watch's accuracy while extending the watch's battery life by 2.1x. Proceeding ... Continue reading →

324 Views

Self-aware systems for the Internet-of-Things

by Sihyeong Park on 2017-04-04 21:01:11

Date : 2017. 04. 10 (Mon) 16:00 Locate : EB5. 533 Presenter : Sihyeong Park   Title : Self-aware systems for the Internet-of-Things Author :  Mischa Möstl,  Johannes Schlatow,  Rolf Ernst,  Henry Hoffmann,  Arif Merchant,  Alexander Shraer Institute of Computer and Network Engineering, TU Braunschweig, Germany Systems Group, University of Chicago Google, Inc. Abstract : The IoT will host a large number of co-existing cyber-physical applications. Continuous change, application interference, environment dynamics and uncertainty lead to complex effects which must be controlled to give performance and application guarantees. Application and platform self-configuration and self-awareness are one paradigm to approach this challenge. They can leverage context knowledge to control platform and application functions and their interaction. They could play a dominant role in large scale cyber-physical systems and ... Continue reading →

355 Views

U-Wear: Software-Defined Ultrasonic Networking for Wearable Devices

by Jinse Kwon on 2017-03-30 21:16:22

Date : 2017. 04. 03 (Mon) 16:00 Locate : EB5. 533 Presenter : Jinse Kwon   Title : U-Wear: Software-Defined Ultrasonic Networking for Wearable Devices Author : G. Enrico Santagati, Tommaso Melodia (Northeastern University, Boston, MA, U.S.A.)   Abstract : Wearable medical sensing devices with wireless capabilities have become the cornerstone of many revolutionary digital health applications that promise to predict and treat major diseases by acquiring and processing health information. Existing wireless wearable devices are connected through radio frequency (RF) electromagnetic wave carriers based on standards such as Bluetooth or WiFi. However, these solutions tend to almost-blindly scale down traditional wireless technologies to the body environment, with little or no attention to the peculiar characteristics of the human body and the severe privacy and security requirements of patients. We contend that this is not the only possible ... Continue reading →

324 Views

CaffePresso: An Optimized Library for Deep Learning on Embedded Accelerator-based platforms

by Do Trung Hai on 2017-03-24 12:46:16

Date: 2017. 03. 27(Mon) 04:00 P.M. Locate: EB5. 533 Presenter: Trunghai Do Title: CaffePresso: An Optimized Library for Deep Learning on Embedded Accelerator-based platforms Author: G. Hegde, Siddhartha, N. Ramasamy, N. Kapre Abstract: Off-the-shelf accelerator-based embedded platforms offer a competitive energy-efficient solution for lightweight deep learning computations over CPU-based systems. Low-complexity classifiers used in power-constrained and performance-limited scenarios are characterized by operations on small image maps with 2- 3 deep layers and few class labels. For these use cases, we consider a range of embedded systems with 5-20W power budgets such as the Xilinx ZC706 board (with MXP soft vector processor), NVIDIA Jetson TX1 (GPU), TI Keystone II (DSP) as well as the Adapteva Parallella board (custom multi-core with NoC). Deep Learning computations push the capabilities of these platforms to the limit through compute-intensive evaluations of multiple 2D convolution ... Continue reading →

286 Views

PrefMiner: mining user's preferences for intelligent mobile notification management

by Jemin Lee on 2017-03-14 11:31:06

Date: 2017. 03. 20(Mon) 04:00 P.M. Locate: EB5. 533 Presenter: Jemin Lee Title: PrefMiner: mining user's preferences for intelligent mobile notification management Author: A. Mehrotra, R. Hendley, and M. Musolesi   Abstract : Mobile notifications are increasingly used by a variety of applications to inform users about events, news or just to send alerts and reminders to them. However, many notifications are neither useful nor relevant to users' interests and, also for this reason, they are considered disruptive and potentially annoying. In this paper we present the design, implementation and evaluation of PrefMiner, a novel interruptibility management solution that learns users' preferences for receiving notifications based on automatic extraction of rules by mining their interaction with mobile phones. The goal is to build a system that is intelligible for users, i.e., not just a "black-box" solution. Rules are shown to users who might decide to accept or ... Continue reading →

216 Views

I am a "Smart" watch, Smart Enough to Know the Accuracy of My Own Heart Rate Sensor

by Jinyoung Choi on 2017-03-08 17:19:17

Date : 2017. 03. 13(Mon) 04:00 P.M. Locate : EB5. 533 Presenter : Jinyoung Choi Title : I am a "Smart" watch, Smart Enough to Know the Accuracy of My Own Heart Rate Sensor Author : Ho-Kyeong Ra, Jungmo Ahn, Hee Jung Yoon, Dukyong Yoon, Sang Hyuk Son, JeonGil Ko   Abstract : With the wide-distribution of smart wearables, it seems as though ubiquitous healthcare can finally permeate into our everyday lives, opening the possibility to realize clinical-grade applications. However, given that clinical applications require reliable sensing, there is a need to understand how accurate healthcare sensors on wearable devices (e.g., heart rate sensors) are. To answer this question, this work starts with a thorough investigation on the accuracy of widely used wearable devices' heart rate sensors. Specifically, we show that when actively moving, heart rate readings can diverge far from the ground truth, and also show that such ... Continue reading →

238 Views