2017 28th Irish Signals and Systems Conference (ISSC)最新文献

{"title":"Development of a low-cost, hand-held, remote vacuum profile monitoring system","authors":"Amruta Awasthi, Krishna Panduru, Anshul Awasthi, D. Riordan, Joseph Walsh","doi":"10.1109/ISSC.2017.7983630","DOIUrl":"https://doi.org/10.1109/ISSC.2017.7983630","url":null,"abstract":"Vacuum technology is a very widespread area. Nowadays, a broad variety of applications can be found to be using vacuum and vacuum related monitoring. Vacuum profile for different applications can be different, but whatever that may be, monitoring it is an essential part of any such application. Thus, this paper describes the development of one such vacuum profile monitoring system that can be re-purposed to be used in testing a wide range of systems. The main aim is to develop a device that is low cost, app-based and precise with a very small form-factor such that it can be hand-held for greater portability and ease-of-use. The intention here is to develop a generic device which can be used in any vacuum monitoring application, hence, the focus will not be on any specific application, but instead, in this paper, the focus will be on the development of the device itself.","PeriodicalId":170320,"journal":{"name":"2017 28th Irish Signals and Systems Conference (ISSC)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123803360","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":"Applying a MDE approach to a healthcare environment: A case study of an AE dept","authors":"Hussein Gannud, Hao Wu, J. Timoney","doi":"10.1109/ISSC.2017.7983632","DOIUrl":"https://doi.org/10.1109/ISSC.2017.7983632","url":null,"abstract":"One of the main challenges of Healthcare services is to find a suitable way of managing limited resources within a highly demanding environment. This challenge can now be tackled by deploying reliable software systems that are supported by Software Engineering practices. In this paper, we present a Model Driven Engineering (MDE) approach that, by way of an example, is applied to an Accident and Emergency (AE) department. This approach works by designing a UML class diagram annotated with a set of OCL constraints. These constraints formally express restrictions on interactions between various elements of the system. We formally evaluate our model by using a logic solver. This approach lays the foundation of our intentions to further develop a more complete health care system. We report the valuable lessons learnt from the work and explain the limitation we observed.","PeriodicalId":170320,"journal":{"name":"2017 28th Irish Signals and Systems Conference (ISSC)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122164205","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":"Rebuilding the Internet Exchange Point in Uganda","authors":"D. O. Briain, D. Denieffe, Y. Kavanagh, D. Okello","doi":"10.1109/ISSC.2017.7983601","DOIUrl":"https://doi.org/10.1109/ISSC.2017.7983601","url":null,"abstract":"Uganda is a land locked country in South East Africa. It is separated from the Indian ocean by Kenya to the east and Tanzania to the south. It is separated from South Atlantic by the Democratic Republic of the Congo to the west. Uganda's connection to the Internet is overland to Mombasa, Kenya where the Seacom cable installed in 2009 connected Mombasa to Europe with a capacity of 640 Gb/s and the World Bank funded Eastern Africa Submarine Cable System (EASSy) undersea fibre optic cable connects Eastern Africa to South Africa and Europe with a capacity of 1.4 Tb/s. [1]. Additionally until recently Uganda was dependent upon a single overland link to Kenya via Uganda Electricity Transmission Company Limited (UETCL) power lines whereas today there are a number of options such as the Seacom cable fibre cable completed in 2015. During the 2010 FIFA World Cup Final a terrorist attack on the Kyandondo Rugby Club in Nakawa, Kampala brought all Internet Service Providers (ISP) in Uganda off-line as the rugby ground sits directly underneath the UETCL power lines bring Internet services from Kenya. This leaves Uganda at significant disadvantage regionally and to-date the technology industry has tended to converge at Mombassa and Nairobi as well as in Dar es Salaam, Tanzania. Recently however as the modern Internet services require Global Service Providers (GSP) to get closer to the end-user so they can avail of lower latency, higher bandwidth applications, the justification for serving all of South East Africa from data centres in Narobi, Mombassa, Dar es Salaam and even from South Africa is becoming less valid. In order to facilitate the deployment of locally hosted content and reduce the country's reliance on international cables, additional capacity was required at the country's primary local interconnection point, the Uganda Internet Exchange Point (UIXP). UIXP is currently developing its infrastructure to support a larger membership encompassing growing demand from both ISPs and Application Service Providers (ASP). This paper serves to outline the developments that are being put in place to take UIXP from a local Internet eXchange Point (IXP) supporting local ISPs and e-government services to the next level where it is in a position to support GSP Content Delivery Networks (CDN) and therefore pave the way for the next phase of development of the Internet in Uganda.","PeriodicalId":170320,"journal":{"name":"2017 28th Irish Signals and Systems Conference (ISSC)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123638971","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":"The application of digital accelerometers for wired and non-wired Mechanomyography","authors":"Niall G. Campbell, Thomas Egan, C. Deegan","doi":"10.1109/ISSC.2017.7983619","DOIUrl":"https://doi.org/10.1109/ISSC.2017.7983619","url":null,"abstract":"The objective of this paper is to consider the use of digital accelerometers for Mechanomyographic applications. The digital outputs of the accelerometer require the consideration of additional interfacing hardware for any commercial data acquisition systems being considered. The Arduino open-source platform is shown to meet this requirement. This platform also provides access to set the data registers on the accelerometer to output data at the resolution, speed and format required. Results show that digital accelerometers provide an accurate representation of the MMG signal. The second objective of this work was to extend this digital platform to design a wireless MMG sensor. This has been completed using open-source components and libraries. The wireless sensor can provide an inexpensive accurate representation of the MMG response for distances in excess of 30 meters.","PeriodicalId":170320,"journal":{"name":"2017 28th Irish Signals and Systems Conference (ISSC)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116426897","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 close-in phase noise class-C differential clapp VCO topology in 180 nm Si-Ge HBT technology","authors":"Giuseppe Macera, Valerio Marotta","doi":"10.1109/ISSC.2017.7983600","DOIUrl":"https://doi.org/10.1109/ISSC.2017.7983600","url":null,"abstract":"This paper reports a new improved Clapp VCO topology designed in 180 nm Si-Ge HBT technology for operations around 5 GHz. The designed topology uses a series-tuned resonator, a back-to-back series varactor configuration for tuning the output frequency and a filtering tail current designed for shunting to ground the second harmonic noise component. At the supply voltage of 3.3V, and across Process, Voltage and Temperature (PVT), the resulting VCO exhibits a very low phase noise (−113 dBc/Hz at 100 kHz offset from the carrier frequency), a high tuning range (25%), a power consumption of 6 mW and a Tuning Range based Figure Of Merit (FOM) equal to 211 dB, classifying itself as a challenging VCO and suggesting the opportunity to be considered for further investigations and implementations in Si-Ge HBT Technology.","PeriodicalId":170320,"journal":{"name":"2017 28th Irish Signals and Systems Conference (ISSC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115009975","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":"Speaker recognition based on MFCC and BP neural networks","authors":"Yi Wang, B. Lawlor","doi":"10.1109/ISSC.2017.7983644","DOIUrl":"https://doi.org/10.1109/ISSC.2017.7983644","url":null,"abstract":"Speaker recognition has been developed over many years and it comes with many different methods. MFCC is one of more the successful methods due to it being generally modeled on the human auditory system. It represents high success rate of recognition and strong robustness against noise in the lower frequency regions. However, in the higher frequency regions, it captures speaker characteristics information less effectively. In recent years, Artificial Neural Networks have become popular. This paper presents a speaker recognition method based on MFCC and Back-Propagation Neural Networks. Experimental studies have proven that the recognition rate is successful when the number of questionable speakers is not very larger. When the number of speakers increases, the rate of recognition decreases. The potential problems and solutions are discussed, the number of training samples must be larger than the number of network model weights, 2–10 times. When the number of speakers increases, the number of training samples required also increases significantly.","PeriodicalId":170320,"journal":{"name":"2017 28th Irish Signals and Systems Conference (ISSC)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122785454","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":"Improving controller performance in a powder blending process using predictive control","authors":"Niall O' Mahony, Trevor Murphy, Krishna Panduru, D. Riordan, Joseph Walsh","doi":"10.1109/ISSC.2017.7983607","DOIUrl":"https://doi.org/10.1109/ISSC.2017.7983607","url":null,"abstract":"The paper will discuss the general topic of predictive control techniques for industrial applications, in particular the implementation of Kalman Filter State Estimators in such control schemes. The paper presents the investigation of predictive control methodologies for the control of a model powder blending process. This investigation was carried out in an effort to improve the performance of a closed loop control system which was limited by the inaccuracy of parameters measured by a suite of smart sensors, in this instance constituent concentration and flowrate of a two-part powder blend as estimated by statistical models analysing multi-sensor data. A number of predictive control principles, including the addition of Kalman Filters to traditional closed loop control and Model Predictive Control, were investigated using MATLAB® Software to improve the estimation of these parameters and thus control them more precisely. The results obtained show that faster dynamic response and greater accuracy can be achieved through the implementation of Kalman filters.","PeriodicalId":170320,"journal":{"name":"2017 28th Irish Signals and Systems Conference (ISSC)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128497488","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":"Smartphone based parameter estimates of a dynamic oscillator using high-speed video imaging and incremental discriminating colour learning","authors":"Modestas Zeimys, V. Pakrashi, Michael O'Byrne","doi":"10.1109/ISSC.2017.7983640","DOIUrl":"https://doi.org/10.1109/ISSC.2017.7983640","url":null,"abstract":"Image-based systems are increasingly being used for Structural Health Monitoring (SHM) applications. Video-based motion tracking algorithms can be used to analyse dynamic responses characterised by low frequencies, large deflections and low damping ratios. The advantages of image processing over other methods include the ability to track multiple points on a structure, its scalability, and its ease of use. Standard video acquisition devices are limited in their ability to assess dynamic responses and identify natural frequencies or damping ratios of structures due to the relatively low sampling rate, or frame rate. As such, there becomes a need to use video cameras that possess the ability to record at high frame rates — a feature that is becoming increasingly common on modern smartphones. This paper demonstrates how such video cameras can be used to estimate natural frequencies and viscous damping ratios of structures by considering a Single Degree of Freedom (SDOF) linear system undergoing free vibrations. The slow-motion feature on a Nexus 6P Smartphone was used to capture the dynamic response of the vibrating system. The video was assessed by an Incremental Discriminative Colour Tracking (IDCT) algorithm which tracked the position of points on the system, from which the natural frequency and damping ratio could then be extracted. The results were compared to a reference accelerometer and theoretical estimates. This paper acts as an evidence base for the evolving capabilities of smartphone based monitoring, and ultimately, shows that smartphones have value as a tool for the cost-effective assessment of structures.","PeriodicalId":170320,"journal":{"name":"2017 28th Irish Signals and Systems Conference (ISSC)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132157023","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":"V2Hz: Music composition from wind turbine energy using a finite-state machine","authors":"Mark E. O'Sullivan, B. Srbinovski, A. Temko, E. Popovici, H. McCarthy","doi":"10.1109/ISSC.2017.7983637","DOIUrl":"https://doi.org/10.1109/ISSC.2017.7983637","url":null,"abstract":"The study presents a multi-disciplinary application of the Internet of Things (IoT) benefiting both the engineering and music community. A music composition algorithm based on a finite-state machine was designed to receive and manipulate wind turbine voltage output data into a musically aesthetic composition. The algorithm adapts common western music theory and imposes these limitations on the wind turbine output voltage stream. The front-end of the system employs various transmission protocols. The data is streamed to a server on-site at the wind farm using transmission control protocol, and then received offsite via TCP/IP. The back-end of the system processes the digital signals, and finally constructs Musical Instrument Digital Interface messages, which can be routed to a host of various music synthesis software programs. The voltage output values of each wind turbine are directly represented in both the amplitude and frequency characteristics of the audio. Thus, the audio serves as an accurate real-time monitoring and maintenance tool for the wind farm data from an offsite location.","PeriodicalId":170320,"journal":{"name":"2017 28th Irish Signals and Systems Conference (ISSC)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133228988","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":"Bitwise operations of cellular automaton on gray-scale images","authors":"K. Mangalam, Prof. K S Venkatesh","doi":"10.1109/ISSC.2017.7983625","DOIUrl":"https://doi.org/10.1109/ISSC.2017.7983625","url":null,"abstract":"Cellular Automata (CA) theory is a discrete model that represents the state of each of its cells from a finite set of possible values which evolve in time according to a pre-defined set of transition rules. CA have been applied to a number of image processing tasks such as Convex Hull Detection, Image Denoising etc. but mostly under the limitation of restricting the input to binary images. In general, a gray-scale image may be converted to a number of different binary images which are finally recombined after CA operations on each of them individually. We have developed a multinomial regression based weighed summation method to recombine binary images for better performance of CA based Image Processing algorithms. The recombination algorithm is tested for the specific case of denoising Salt and Pepper Noise to test against standard benchmark algorithms such as the Median Filter for various images and noise levels. The results indicate several interesting invariances in the application of the CA, such as the particular noise realization and the choice of sub-sampling of pixels to determine recombination weights. Additionally, it appears that simpler algorithms for weight optimization which seek local minima work as effectively as those that seek global minima such as Simulated Annealing.","PeriodicalId":170320,"journal":{"name":"2017 28th Irish Signals and Systems Conference (ISSC)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134376483","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}