2015 International Conference on Smart Sensors and Application (ICSSA)最新文献_第3页

Cubature quadrature Kalman filter for maneuvering target tracking 基于正交卡尔曼滤波的机动目标跟踪

2015 International Conference on Smart Sensors and Application (ICSSA) Pub Date : 2015-05-26 DOI: 10.1109/ICSSA.2015.7322504

Abhinoy Kumar Singh, S. Bhaumik

引用次数: 3

Flowchart-based Bayesian Intelligent Tutoring System for computer programming 基于流程图的计算机编程贝叶斯智能辅导系统

2015 International Conference on Smart Sensors and Application (ICSSA) Pub Date : 2015-05-26 DOI: 10.1109/ICSSA.2015.7322528

Danial Hooshyar, Rodina Binti Ahmad, Moein Fathi, M. Yousefi, Maral Hooshyar

{"title":"Flowchart-based Bayesian Intelligent Tutoring System for computer programming","authors":"Danial Hooshyar, Rodina Binti Ahmad, Moein Fathi, M. Yousefi, Maral Hooshyar","doi":"10.1109/ICSSA.2015.7322528","DOIUrl":"https://doi.org/10.1109/ICSSA.2015.7322528","url":null,"abstract":"There is a misconception of what programming is at the early stages of learning programming for Computer Science (CS) minors. More researches in this field have revealed that the lack of problem-solving skills, which is considered as one of the prominent shortcomings that novices deal with, is exacerbated by language syntax that the novices employ. A Flowchart-based Intelligent Tutoring System (FITS) is proposed in this research aimed at introducing the early stages of learning programming (CS1) to put the record straight. The students who have no prior knowledge of programming are the target audience of this research. In order to support novice programmers in beginning of programming, Bayesian network approach is applied mainly for decision making and to handle uncertainties in knowledge level of students. How to use Bayesian network to take full advantage of it as an inference engine for providing users with various guidance is described in this paper. Therefore, our proposed system provides users with dynamic guidance such as recommend learning goals, recommend options for flowchart development, and generate appropriate reading sequences. Additionally, our proposed system's architecture and its components are elaborated. Our future work is to evaluate the FITS by conducting an experimental study using novices.","PeriodicalId":378414,"journal":{"name":"2015 International Conference on Smart Sensors and Application (ICSSA)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131778441","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: 9

Statistical validation of performance of ZigBee-based wireless sensor network for track cycling 基于zigbee的轨道循环无线传感器网络性能的统计验证

2015 International Conference on Smart Sensors and Application (ICSSA) Pub Date : 2015-05-26 DOI: 10.1109/ICSSA.2015.7322508

S. Gharghan, R. Nordin, M. Ismail

引用次数: 11

An analysis of MVL neural operators using feed forward backpropagation: Realization and application of logic synthesis 基于前馈反向传播的MVL神经算子分析:逻辑综合的实现与应用

2015 International Conference on Smart Sensors and Application (ICSSA) Pub Date : 2015-05-26 DOI: 10.1109/ICSSA.2015.7322523

Adib Kabir Chowdhury, Md Saifullah Razali, Gary Loh Chee Wyai, Lenin Gopal, Bakri Madon, Ashutosh Kumar Singh

引用次数: 3

Concept development of Integrated Monitoring System model to support activities monitoring in the Border Region 综合监测系统模型的概念发展，以支持边境地区的活动监测

2015 International Conference on Smart Sensors and Application (ICSSA) Pub Date : 2015-05-26 DOI: 10.1109/ICSSA.2015.7322511

P. Daud, O. Heriana, A. Rahman, E. J. Pristianto, D. Mahmudin, Y. N. Wijayanto, D. Syamsi, N. Armi

引用次数: 3

Plant growth optimization using variable intensity and Far Red LED treatment in indoor farming 利用可变强度和远红色LED处理优化室内种植植物生长

2015 International Conference on Smart Sensors and Application (ICSSA) Pub Date : 2015-05-26 DOI: 10.1109/ICSSA.2015.7322517

A. N. Harun, R. Ahmad, N. Mohamed

{"title":"Plant growth optimization using variable intensity and Far Red LED treatment in indoor farming","authors":"A. N. Harun, R. Ahmad, N. Mohamed","doi":"10.1109/ICSSA.2015.7322517","DOIUrl":"https://doi.org/10.1109/ICSSA.2015.7322517","url":null,"abstract":"Plant growth optimization using LED light has been conducted to study the best method to reduce power consumption and obtain the optimum growth. In this study a system that able to produce variable intensity using microcontroller, solid state and dimmable LED light has been proposed. Two experiments were conducted with i) combined Red / Blue/White (RBW) LEDs of ratio 16:4:2 as light source for 12 hours photoperiod treatment ii) Red/Blue/Far Red (RBFR) LEDs of ratio 16:4:16 as light source for 12 hours photoperiod treatment. The finding from the experiment has shown that variable intensity method has proven to reduce overall power consumption, increase mortality of the plant by introducing hardening process and significantly RF treatment has shown to delay the flowering process. Our analysis shows that the system allowed the finding of a new method on optimization of plant growth using LED light with variable intensity and shows significant difference on flowering respond using FR treatment. Prototype of the proposed system has been developed in small scale hydroponic plant growth chamber. Data acquisition and remote management of the system is used to maintain humidity, temperature, CO2 concentration and light intensity and development of automated system for plant manipulation.","PeriodicalId":378414,"journal":{"name":"2015 International Conference on Smart Sensors and Application (ICSSA)","volume":"649 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132096766","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: 15

Numerical analysis on DNA-sensor based on copper-graphene surface plasmon resonance 基于铜-石墨烯表面等离子体共振的dna传感器数值分析

2015 International Conference on Smart Sensors and Application (ICSSA) Pub Date : 2015-05-26 DOI: 10.1109/ICSSA.2015.7322502

H. Toloue, Anthony Centeno Nano

引用次数: 4

Integrated online water quality monitoring 综合在线水质监测

2015 International Conference on Smart Sensors and Application (ICSSA) Pub Date : 2015-05-26 DOI: 10.1109/ICSSA.2015.7322521

G. Wiranto, Y. Y. Maulana, I. Hermida, I. Syamsu, D. Mahmudin

引用次数: 16

Enhanced trust aware routing against wormhole attacks in wireless sensor networks 无线传感器网络中针对虫洞攻击的增强信任感知路由

2015 International Conference on Smart Sensors and Application (ICSSA) Pub Date : 2015-05-26 DOI: 10.1109/ICSSA.2015.7322510

R. W. Anwar, M. Bakhtiari, A. Zainal, A. Abdullah, K. Qureshi

引用次数: 17

Respiratory rate (RR) based analysis of PPG signal for different physiological conditions 基于呼吸速率(RR)的不同生理条件下PPG信号分析

2015 International Conference on Smart Sensors and Application (ICSSA) Pub Date : 2015-05-26 DOI: 10.1109/ICSSA.2015.7322531

S. A. Kazmi, M. Shah, Sheroz Khan, Othman Omran Khalifa

{"title":"Respiratory rate (RR) based analysis of PPG signal for different physiological conditions","authors":"S. A. Kazmi, M. Shah, Sheroz Khan, Othman Omran Khalifa","doi":"10.1109/ICSSA.2015.7322531","DOIUrl":"https://doi.org/10.1109/ICSSA.2015.7322531","url":null,"abstract":"This paper investigates the respiratory rate (RR) for different physiological conditions by implicating photoplethysmographic (PPG) signal. In this paper, we have examined four physiological conditions for instance sitting, standing, laying and jogging. Ten healthy volunteers were recruited and segregated by five males and females each group. The acquisition of PPG signal was done by Easy Pulse analyzer sensor module for one minute sample for each condition considering consolidated state prior to sample extraction, which uses pulse oximetry principle and pass the sensed signal by the optical sensor through a sequential high and low pass filters which latterly produces a conditioned PPG signal at its output. The Arduino processing module was used as an interfacing module between easy pulse analyzer and computing machine. The Kubios HRV tool was implicated for execution and manipulation of the PPG data into a required format. The time and frequency domain parameters were analyzed for PPG signal in different physiological conditions. Ultimately, the reports were created depending upon the analysis. The results defines that the PPG signal as well as RR varies depending upon the physiological conditions. It was also keenly observed that the low and high frequencies which is ingredient of PPG signal also vary accordingly to physiological condition.","PeriodicalId":378414,"journal":{"name":"2015 International Conference on Smart Sensors and Application (ICSSA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128755591","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: 5