2017 25th International Conference on Systems Engineering (ICSEng)最新文献_第3页

Bridging Reactive and Control Architectural Layers for Cooperative Missions Using VTOL Platforms 利用垂直起降平台桥接协作任务的反应和控制体系结构层

2017 25th International Conference on Systems Engineering (ICSEng) Pub Date : 2017-08-01 DOI: 10.1109/ICSEng.2017.59

P. Rudol, P. Doherty

{"title":"Bridging Reactive and Control Architectural Layers for Cooperative Missions Using VTOL Platforms","authors":"P. Rudol, P. Doherty","doi":"10.1109/ICSEng.2017.59","DOIUrl":"https://doi.org/10.1109/ICSEng.2017.59","url":null,"abstract":"In this paper we address the issue of connecting abstract task definitions at a mission level with control functionalities for the purpose of performing autonomous robotic missions using multiple heterogenous platforms. The heterogeneity is handled by the use of a common vocabulary which consists of parametrized tasks such as fly-to, take-off, scan-area, or land. Each of the platforms participating in a mission supports a subset of the tasks by providing their platform-specific implementations. This paper presents a detailed description of an approach for implementing such platform-specific tasks. It is achieved using a flight-command based interface with setpoint generation abstraction layer for vertical take-off and landing platforms. We show that by using this highly expressive and easily parametrizable way of specifying and executing flight behaviors it is straightforward to implement a wide range of tasks. We describe the method in the context of a previously described robotics architecture which includes mission delegation and execution system based on a task specification language. We present results of an experimental flight using the proposed method.","PeriodicalId":202005,"journal":{"name":"2017 25th International Conference on Systems Engineering (ICSEng)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126079702","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

Concepts and Observations in Artificial Endocrine Systems for IoT Infrastructure 物联网基础设施人工内分泌系统的概念和观察

2017 25th International Conference on Systems Engineering (ICSEng) Pub Date : 2017-08-01 DOI: 10.1109/ICSEng.2017.66

Satyendra Sinha, Z. Chaczko

引用次数: 4

Linear Capacity Algorithms for Multicommodity Flow Problems in Computer WAN 计算机广域网中多商品流问题的线性容量算法

2017 25th International Conference on Systems Engineering (ICSEng) Pub Date : 2017-08-01 DOI: 10.1109/ICSEng.2017.17

A. F. Zantuti

引用次数: 0

Monitoring the Kalman Gain Behavior for Maneuver Detection 机动检测中卡尔曼增益行为的监测

2017 25th International Conference on Systems Engineering (ICSEng) Pub Date : 2017-08-01 DOI: 10.1109/ICSEng.2017.71

S. Stubberud, K. Kramer

引用次数: 6

Modeling of Roof-Mountable Thermoelectric Generators 屋顶安装热电发电机的建模

2017 25th International Conference on Systems Engineering (ICSEng) Pub Date : 2017-08-01 DOI: 10.1109/ICSEng.2017.75

Catherine S. Salvador, Angela C. Caliwag, Nathaniel Aldivar, V. Angeles, Mark Bernabe

{"title":"Modeling of Roof-Mountable Thermoelectric Generators","authors":"Catherine S. Salvador, Angela C. Caliwag, Nathaniel Aldivar, V. Angeles, Mark Bernabe","doi":"10.1109/ICSEng.2017.75","DOIUrl":"https://doi.org/10.1109/ICSEng.2017.75","url":null,"abstract":"Thermoelectric generators (TEGs) are used for the direct conversion of heat energy into electricity. Given that there is an extreme concentration of heat present on house roofs, the application of TEGs on these locations is feasible. This study involves the modeling of thermoelectric generators on house roofs through the use of simulations and an actual prototype. Simulations were done using the matrix laboratory (MATLAB) platform. The mathematical model of the system was created based on the factors that affect the generation capability of the TEG prototype module. The prototype was tested and observed at various locations having different environmental conditions, and other parameters like roof type, height, and solar irradiance were observed at every location. The equation being modeled is Vp=c*(Th–Tc); where c is the elevation constant, and (Th–Tc) is the difference in temperatures between the hot side and the cold side of the TEG. The accuracy and precision of the prototype were measured using the prediction method of the root mean square error (RMSE), and the computed RMSEs are 0.01143, 0.03063, and 0.01975 for plains, areas near the shore, and highlands, respectively.","PeriodicalId":202005,"journal":{"name":"2017 25th International Conference on Systems Engineering (ICSEng)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114747119","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

Human Detection Using Illumination Invariant Feature Extraction for Natural Scenes in Big Data Video Frames 基于光照不变特征提取的大数据视频帧自然场景人体检测

2017 25th International Conference on Systems Engineering (ICSEng) Pub Date : 2017-08-01 DOI: 10.1109/ICSEng.2017.18

A. Alzughaibi, Z. Chaczko

{"title":"Human Detection Using Illumination Invariant Feature Extraction for Natural Scenes in Big Data Video Frames","authors":"A. Alzughaibi, Z. Chaczko","doi":"10.1109/ICSEng.2017.18","DOIUrl":"https://doi.org/10.1109/ICSEng.2017.18","url":null,"abstract":"This research proposes a reliable machine learning based computational solution for human detection. The proposed model is specifically applicable for illumination-variant natural scenes in big data video frames. In order to solve the illumination variation problem, a new feature set is formed by extracting features using histogram of gradients (HoG) and linear phase quantization (LPQ) techniques, which are combined to form a single feature-set to describe features in illumination variant natural scenes. Pre-processing is applied to reduce the search space and improve results, and as the humans are in constant motion in the frames, a search space pruning algorithm is applied to reduce the search space and improve detection accuracy. Non-maximal suppression is also applied for improved performance. A Support Vector Machine (SVM) based classifier is used for fast and accurate detection. Most of the current state-of-the-art detectors face numerous problems including false, missed, and inaccurate detections. The proposed detector model shows good performance, which was validated using relevant UCF and CDW test data-sets. In order to compare the performance of the proposed methodology with the state-of-the-art detectors, some selected detected frames were chosen considering their Receiver Operating Characteristic (ROC) curves. These curves are plotted to compare and evaluate the results based on miss rates and true positives rates. The results show the proposed model achieves best results.","PeriodicalId":202005,"journal":{"name":"2017 25th International Conference on Systems Engineering (ICSEng)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128090306","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

Proposal of Expressive SNS Application with Font Adjustment Function 具有字体调整功能的表达性SNS应用程序的设计

2017 25th International Conference on Systems Engineering (ICSEng) Pub Date : 2017-08-01 DOI: 10.1109/ICSEng.2017.45

Yui Tanaka, T. Fujimoto

引用次数: 0

Arc Fault Characterization System for the Low Voltage DC Arc Fault Circuit Interrupter 低压直流电弧故障断路器电弧故障表征系统

2017 25th International Conference on Systems Engineering (ICSEng) Pub Date : 2017-08-01 DOI: 10.1109/ICSEng.2017.36

T. Taufik, Cassidy Aarstad, A. Kean

引用次数: 3

Improving Discovery Using Meta-Heuristic Echolocation 利用元启发式回声定位改进发现

2017 25th International Conference on Systems Engineering (ICSEng) Pub Date : 2017-08-01 DOI: 10.1109/ICSEng.2017.24

Shahab Tayeb, S. Latifi

引用次数: 0

A Framework for a Connected Electric Vehicle Cloud to Learn Drivers' Behaviors 一种学习驾驶员行为的互联电动汽车云框架

2017 25th International Conference on Systems Engineering (ICSEng) Pub Date : 2017-08-01 DOI: 10.1109/ICSEng.2017.47

Chung-Hong Lee, Chih-Hung Wu, Chien-Cheng Chou, Xiang-Hong Chung, Pei-Wen Zeng, Yi-Hsiang Lin

引用次数: 1