2018 12th International Conference on Signal Processing and Communication Systems (ICSPCS)最新文献_第5页

Frequency Utilization Efficiency Improvement by Using MLD in Spectrum Suppressed Transmission 利用MLD提高频谱抑制传输的频率利用效率

2018 12th International Conference on Signal Processing and Communication Systems (ICSPCS) Pub Date : 2018-12-01 DOI: 10.1109/ICSPCS.2018.8631748

Motoi Shirai, Sumika Omata, T. Sugiyama

引用次数: 0

Modeling and Evaluation of Pre-Copy Live VM Migration Using Probabilistic Model Checking 基于概率模型检查的预拷贝动态虚拟机迁移建模与评估

2018 12th International Conference on Signal Processing and Communication Systems (ICSPCS) Pub Date : 2018-12-01 DOI: 10.1109/ICSPCS.2018.8631779

A. Bashar, Nazeeruddin Mohammad, Shahabuddin Muhammed

引用次数: 6

Using Deep Learning to Identify Potential Roof Spaces for Solar Panels 利用深度学习识别太阳能电池板的潜在屋顶空间

2018 12th International Conference on Signal Processing and Communication Systems (ICSPCS) Pub Date : 2018-12-01 DOI: 10.1109/ICSPCS.2018.8631725

Dorian House, M. Lech, Melissa N. Stolar

{"title":"Using Deep Learning to Identify Potential Roof Spaces for Solar Panels","authors":"Dorian House, M. Lech, Melissa N. Stolar","doi":"10.1109/ICSPCS.2018.8631725","DOIUrl":"https://doi.org/10.1109/ICSPCS.2018.8631725","url":null,"abstract":"Solar photovoltaic (PV) installation businesses frequently encounter problems with lead generation. A commonly used approach to identify credible customers involves cold-calling contacts from a purchased database containing very limited information or information that is inaccurate, out of date, and doesn't identify whether the building already has solar PV installed. This process of contacting potential customers, therefore, is often time-consuming, cost-ineffective, and inefficient, which results in increased costs for customers to account for these limitations. The objective of the current research project is to propose a method of automating this industry problem by applying Deep Neural Networks (DNNs). A Semantic Segmentation Network (SegNet) will be utilized, with a database of satellite images and corresponding pixel label images. The SegN et will seek to identify buildings from satellite imagery, and to in turn identify whether buildings have pre-existing solar installations, using a cascaded Convolutional Neural Network (CNN). Transfer learning on the CNN will fine-tune the network to classify roofs of buildings into two categories of having solar PV installed and not having solar PV installed. The CNN will be trained and tested on separate augmented databases to improve the classification accuracy with the output of the system recording a database of buildings without solar PV installed. By automating what was previously a time-consuming manual process, the savings incurred can be passed onto customers. Results of the current project demonstrate successful segmentation of buildings and identification of pre-existing solar PV installations. Implications of results are discussed.","PeriodicalId":179948,"journal":{"name":"2018 12th International Conference on Signal Processing and Communication Systems (ICSPCS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121523253","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}

引用次数: 8

Performance Analysis of Compressive Sensing Based Physical Layer Authentication for AMI 基于压缩感知的AMI物理层认证性能分析

2018 12th International Conference on Signal Processing and Communication Systems (ICSPCS) Pub Date : 2018-12-01 DOI: 10.1109/ICSPCS.2018.8631754

Yonggu Lee, E. Hwang, Jinho Choi

引用次数: 1

Spatially Constrained Anti-Aliasing Filter Using Slepian Eigenfunction Window on the Sphere 球面上基于Slepian特征函数窗口的空间约束抗混叠滤波器

2018 12th International Conference on Signal Processing and Communication Systems (ICSPCS) Pub Date : 2018-12-01 DOI: 10.1109/ICSPCS.2018.8631750

U. Elahi, Z. Khalid, R. Kennedy

引用次数: 3

Exploiting Big Data Analytics for Urban Planning and Smart City Performance Improvement 利用大数据分析促进城市规划和智慧城市绩效改善

2018 12th International Conference on Signal Processing and Communication Systems (ICSPCS) Pub Date : 2018-12-01 DOI: 10.1109/ICSPCS.2018.8631726

Bhagya Nathali Silva, Murad Khan, Jihun Seo, Diyan Muhammad, Yongtak Yoon, Jihun Han, K. Han

{"title":"Exploiting Big Data Analytics for Urban Planning and Smart City Performance Improvement","authors":"Bhagya Nathali Silva, Murad Khan, Jihun Seo, Diyan Muhammad, Yongtak Yoon, Jihun Han, K. Han","doi":"10.1109/ICSPCS.2018.8631726","DOIUrl":"https://doi.org/10.1109/ICSPCS.2018.8631726","url":null,"abstract":"The smart city notion facilitate interoperation among multiple disciplines to improve the Quality of Life (QoL) of urban citizens. Unceasingly growing urban networks has significantly increased the data processing complexity. In consequence, real-time data processing and analysis has become a major concern in modern smart city designing and implementation. Considering the challenges of existing smart cities, in this work we propose a smart city architecture embedded with Big Data Analytics (BDA). The utmost goal of the proposed scheme is to enhance the quality of real-time decision-making through efficient Big Data (BD) processing. The proposed architecture is in three folds to manage data collection, data processing, and data application. We evaluate the proposed BDA embedded smart city using authentic datasets on water consumption, traffic congestion, parking management, and air pollution measurements. The analysis offer useful insights for the community development, while ensuring the performance improvement of the proposed framework in terms of processing time and throughput.","PeriodicalId":179948,"journal":{"name":"2018 12th International Conference on Signal Processing and Communication Systems (ICSPCS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131658878","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}

引用次数: 6

The Impact of MIMO on IoT Network Coverage: Case Study with Smart-BEEM MIMO对物联网网络覆盖的影响:以Smart-BEEM为例

2018 12th International Conference on Signal Processing and Communication Systems (ICSPCS) Pub Date : 2018-12-01 DOI: 10.1109/ICSPCS.2018.8631783

Lina Xu

{"title":"The Impact of MIMO on IoT Network Coverage: Case Study with Smart-BEEM","authors":"Lina Xu","doi":"10.1109/ICSPCS.2018.8631783","DOIUrl":"https://doi.org/10.1109/ICSPCS.2018.8631783","url":null,"abstract":"Multiple-In-Multiple-Out (MIMO) technologies have been widely deployed in order to realise 5G communication goals. Due to the large coverage and fast speed, cellular involved IoT backhaul with MIMO capability is becoming a popular approach adopted by many Internet of Things (IoT) systems. With more communication interfaces available, it is easy to see that the system will consume more energy. If considering network coverage is the most critical metric for an IoT system, and then the problem is: is MIMO always necessary and beneficial? Our argument is that the answer is highly depending on the deployment and applications. Through the demonstration of the management of Smart-BEEM, this paper has investigated the impact of MIMO on the network coverage. The results have revealed that the gain that MIMO can bring to an IoT network coverage highly depends on the energy cost for idle listening. Without proper sleeping scheduling mode implemented on the devices, using MIMO may undermine the overall network coverage. In an IoT network with specific tasks, involving massive communication interfaces may cause redundant communication capability problem and waste energy from unnecessary idle listening.","PeriodicalId":179948,"journal":{"name":"2018 12th International Conference on Signal Processing and Communication Systems (ICSPCS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116664189","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}

引用次数: 1

The Smallest Critical Sets of Latin Squares 拉丁平方的最小临界集

2018 12th International Conference on Signal Processing and Communication Systems (ICSPCS) Pub Date : 2018-12-01 DOI: 10.1109/ICSPCS.2018.8631759

Keith Hermiston

引用次数: 1

A Case for Frequency Domain Window Based Nyquist Filter Design 基于频域窗的奈奎斯特滤波器设计实例

2018 12th International Conference on Signal Processing and Communication Systems (ICSPCS) Pub Date : 2018-12-01 DOI: 10.1109/ICSPCS.2018.8631761

Q. Chaudhari

引用次数: 0

ECG-Derived Respiration Using a Real-Time QRS Detector Based on Empirical Mode Decomposition 基于经验模态分解的实时QRS检测器的心电图衍生呼吸

2018 12th International Conference on Signal Processing and Communication Systems (ICSPCS) Pub Date : 2018-12-01 DOI: 10.1109/ICSPCS.2018.8631760

Christina Kozia, R. Herzallah, D. Lowe

{"title":"ECG-Derived Respiration Using a Real-Time QRS Detector Based on Empirical Mode Decomposition","authors":"Christina Kozia, R. Herzallah, D. Lowe","doi":"10.1109/ICSPCS.2018.8631760","DOIUrl":"https://doi.org/10.1109/ICSPCS.2018.8631760","url":null,"abstract":"Respiration Rate (RR) is an important physiological indicator and plays a major role in health deterioration monitoring. Despite that, it has been neglected in hospital wards due to inadequate nursing skills and insufficient equipment. ECG signal, which is always monitored in a clinical setting, is modulated by respiration which renders it a highly enticing mean for the automatic RR estimation. In addition, accurate QRS detection is pivotal to RR estimation from the ECG signal. The investigation of QRS complexes is a continuing concern in ECG analysis because current methods are still inaccurate and miss heart beats. This paper presents a frequency domain RR estimation method which uses a novel real-time QRS detector based on Empirical Mode Decomposition (EMD). Another novelty of the proposed work stems from the RR estimation in the frequency domain as opposed to some of the current methods which rely on a time domain analysis. As will be shown later, the RR extraction in the frequency domain provides more accurate results compared to the time domain methods. Moreover, our novel QRS detector uses an adaptive threshold over a sliding window and differentiates large Q- from R-peaks, facilitating a more accurate RR estimation. The performance of our methods was tested on real data from Capnobase dataset. An average mean absolute error of less than 0.5 breath per minute was achieved using our frequency domain method, compared to 6 breaths per minute of the time domain analysis. Moreover, our modified QRS detector shows comparable results to other published methods. achieving a detection rate over 99.80%.","PeriodicalId":179948,"journal":{"name":"2018 12th International Conference on Signal Processing and Communication Systems (ICSPCS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123400918","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}

引用次数: 4