{"title":"Effect of Parasitics and Process Variations in Buck Converters Operated in Voltage-Mode","authors":"P. Napolitano, Marian Poncik, A. Bonelli","doi":"10.1109/ISSC.2018.8585362","DOIUrl":"https://doi.org/10.1109/ISSC.2018.8585362","url":null,"abstract":"In this work, the components affecting regulation performance in voltage-mode buck-converters exploiting Pulse Width Modulation are identified and the effects of uncontrolled variations in their values is discussed. For this analysis, a multi-phase buck converter has been considered, operated at 2-MHz switching frequency, supplied by a 5-V input and generating a 1-V regulated output.A model for the output filter has been developed, including parasitics, while the regulation is performed by a Type-III compensator. An average model of buck converter has been developed in MATLAB and Monte Carlo analysis have been performed, showing how component variations affect loop speed and stability. Moreover, a switching model of the regulator has been used and the effect of uncontrolled variations in the component values has been investigated in the time domain.","PeriodicalId":174854,"journal":{"name":"2018 29th Irish Signals and Systems Conference (ISSC)","volume":"116 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128366601","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
N. O’Mahony, S. Campbell, L. Krpalkova, D. Riordan, Joseph Walsh, Aidan Murphy, C. Ryan
{"title":"Deep Learning for Visual Navigation of Unmanned Ground Vehicles : A review","authors":"N. O’Mahony, S. Campbell, L. Krpalkova, D. Riordan, Joseph Walsh, Aidan Murphy, C. Ryan","doi":"10.1109/ISSC.2018.8585381","DOIUrl":"https://doi.org/10.1109/ISSC.2018.8585381","url":null,"abstract":"The capabilities that Artificial Intelligence and Computer Vision can provide to intelligent robotic systems is well recognized and as a result it is the subject of topical research in recent years. This paper will provide a broad review of the progress which has been made in applying deep learning and vision sensor data for the autonomous navigation of unmanned ground vehicles (UGVs). The current state-of-the-art techniques are compared in terms of their performance, implementation and deployment and performance. An outline of some of the most popular types of computer vision techniques is provided, as well as insights into how the recent availability of 3D vision systems can be exploited in the domain.","PeriodicalId":174854,"journal":{"name":"2018 29th Irish Signals and Systems Conference (ISSC)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133178221","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Novel Ultrasound Image Enhancement Algorithm Using Cascaded Clustering on Wavelet Sub-bands","authors":"Prerna Singh, R. Mukundan, Rex de Ryke","doi":"10.1109/ISSC.2018.8585350","DOIUrl":"https://doi.org/10.1109/ISSC.2018.8585350","url":null,"abstract":"The high content of speckle artifacts in ultrasound images affects edges, fine details, and contrast of the image, which in turn affects the accuracy of clinical analysis and diagnostic interpretation. This paper gives importance to preserving valuable edge information in the image and proposes a novel clustering algorithm on wavelet transformed sub-bands for speckle noise suppression. The processing pipeline consists of several stages including edge detection using Canny edge detector, speckle noise separation using LOG transform, wavelet transformation and clustering, and inverse transforms to produce the filtered output. This paper also presents experimental analysis and quantitative evaluation of results to demonstrate the effectiveness of the proposed approach.","PeriodicalId":174854,"journal":{"name":"2018 29th Irish Signals and Systems Conference (ISSC)","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134537684","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Low Jitter Low Power and Wide Tuning Range Differential Ring Oscillator Topology in 28nm CMOS Technology for Clock Synthesizer Applications","authors":"Giuseppe Macera","doi":"10.1109/ISSC.2018.8585386","DOIUrl":"https://doi.org/10.1109/ISSC.2018.8585386","url":null,"abstract":"The Differential Ring Oscillator (DRO)-based VCO design involves many tradeoffs between frequency generation, phase noise, tuning range, power and area. Generally a lower phase noise design requires an higher current consumption, or a wider tuning range can be achieved at expense of higher noise level. In this paper, a 0.9-V differential ring oscillator (DRO) implemented in a 28nm CMOS technology is presented. Using very simple current-controlled delay cells, the proposed VCO achieves a wide operating frequency range from 1.10 to 1.62 GHz with a relatively constant output amplitude and excellent linearity between the output frequency and the input control current. Both theory and simulation show that the root-mean-square (rms) timing jitter is as small as 0.5 ps. The phase noise is −143.8 dBc/Hz at 10 MHz offset from the carrier frequency. The power supply sensitivity is 5.5%/V, the temperature coefficient is +500 ppm/degC, and the power consumption is 3 mW at nominal conditions. The area occupation is relatively smaller due to the simplicity and the low number of the delay cell used.","PeriodicalId":174854,"journal":{"name":"2018 29th Irish Signals and Systems Conference (ISSC)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121476160","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"She Knows Too Much – Voice Command Devices and Privacy","authors":"Eoghan Furey, Juanita Blue","doi":"10.1109/ISSC.2018.8585380","DOIUrl":"https://doi.org/10.1109/ISSC.2018.8585380","url":null,"abstract":"Voice controlled Internet of Things (IoT) devices have become ubiquitous in homes and offer individuals many convenient and entertaining features. The Amazon Echo and its intelligent personal assistant, \"Alexa\", is a leading innovation in this area. This novel research examines aspects of privacy relating to personal use of the Echo. It aims to ascertain the types of data that may be vocally extracted from a selection of the multitude of applications that may be linked to the Echo.In the era of IoT, Big Data and Artificial Intelligence, privacy concerns are paramount for the individual. Personal data has never been more valuable, both to large reputable corporations and to criminals groups. The European Union’s General Data Protection Regulations (GDPR) will come into force in May 2018, aiming to protect the personal data of EU citizens. This has further highlighted the emergent risks stemming from this technological medium.This paper demonstrates that a typically configured Echo device can prove to be a vulnerable channel by which personal information may be accessed. Where no safeguards are implemented, a plethora of data including personal identifiable information and personal health information is available from the device. Data exposure by simple vocal request leaves the system vulnerable to inquisition by any unauthorized individual who is within \"ear shot\" of the device. The research explores the extent to which these risks can be reduced or mitigated, offering a set of recommendations aimed at preserving user privacy, while still enabling functionality of the device. Adherence to these recommendations will empower individuals to guard against privacy breaches from local sources.","PeriodicalId":174854,"journal":{"name":"2018 29th Irish Signals and Systems Conference (ISSC)","volume":"103 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125020608","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Gabriel Banarie, D. McDonagh, Viorel Bucur, Stefan Marinca, M. Bodea
{"title":"A BJT BiCMOS Temperature Sensor with a Two-Point Calibrated Inaccuracy of 0.1°C (3σ) from -40 to 125°C","authors":"Gabriel Banarie, D. McDonagh, Viorel Bucur, Stefan Marinca, M. Bodea","doi":"10.1109/ISSC.2018.8585351","DOIUrl":"https://doi.org/10.1109/ISSC.2018.8585351","url":null,"abstract":"This paper presents a temperature sensor core implemented in standard 0.6µm BiCMOS technology. Due to its intrinsic linearity, the sensor is capable of achieving an inaccuracy of −0.065°C / +0.035°C (3σ) over -40°C to 125°C temperature range after calibration in oil bath at two temperatures. The low output resistance of the core, 5Ω typical value, makes its voltage output signal suitable to be processed by a wide range of analogue-to-digital converters. It also allows multiple instances of the core to be stacked providing a trade-off between noise, supply voltage and silicon area","PeriodicalId":174854,"journal":{"name":"2018 29th Irish Signals and Systems Conference (ISSC)","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115080209","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Mel Frequency Cepstral Coefficients Enhance Imagined Speech Decoding Accuracy from EEG","authors":"Ciaran Cooney, R. Folli, D. Coyle","doi":"10.1109/ISSC.2018.8585291","DOIUrl":"https://doi.org/10.1109/ISSC.2018.8585291","url":null,"abstract":"Imagined speech has recently become an important neuro-paradigm in the field of brain-computer interface (BCI) research. Electroencephalogram (EEG) recordings during imagined speech production are difficult to decode accurately, due to factors such as weak neural correlates and spatial specificity, and signal noise during the recording process. In this study, a dataset of imagined speech recordings obtained during production of eleven different units of imagined speech is used to investigate the relative effects of different features on classification accuracy. Three distinct feature-sets are computed from the data: a linear feature-set, a non-linear feature-set, and a feature-set comprised only of mel frequency cepstral coefficients (MFCC). Each feature-set is used to train a decision tree classifier and a Support Vector Machine classifier. The results indicate that the use of MFCC features provides greater discrimination of imagined speech EEG recordings in comparison with the other features evaluated, and that phonological differences between imagined words can serve as an aid to classification.","PeriodicalId":174854,"journal":{"name":"2018 29th Irish Signals and Systems Conference (ISSC)","volume":"96 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128326100","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}