2017 IEEE Symposium on Computer Applications & Industrial Electronics (ISCAIE)最新文献_第3页

Reservoir zone prediction using logging data - multi well based on levenberg-marquardt method 利用测井资料进行储层预测——基于levenberg-marquardt方法的多井

2017 IEEE Symposium on Computer Applications & Industrial Electronics (ISCAIE) Pub Date : 2017-04-01 DOI: 10.1109/ISCAIE.2017.8074962

E. Utami, A. D. Wibawa, T. R. Biyanto, M. Purnomo

{"title":"Reservoir zone prediction using logging data - multi well based on levenberg-marquardt method","authors":"E. Utami, A. D. Wibawa, T. R. Biyanto, M. Purnomo","doi":"10.1109/ISCAIE.2017.8074962","DOIUrl":"https://doi.org/10.1109/ISCAIE.2017.8074962","url":null,"abstract":"Well logging is a well-known and effective method for oil and natural gas exploration in new fields in order to enhance oil and gas production. Well Logging is defined as an acquisition method to qualitatively and quantitatively evaluate the existence of hydrocarbon layer in the well. In this research, we studied the relations between well logging data and reservoir zone in Salawati basin, Irian Jaya area. Four well logs with four attributes such as Log Gamma Ray (GR), Log Resistivity (ILD), Log Density (RHOB), and Log Neutron (NPHI) were explored. The reservoir zone data has been previously determined by using log curve whether it is a reservoir zone or not. This data then is being used as a target for learning. Since the logging data is a complex and nonlinear, Levenberg-Marquardt (LM) was then implemented as an artificial intelligent algorithm in performing this study. The objective of this work is to build decision support system that will automatically find reservoir zone based on well logging data. The results of this work showed that Mean Absolute Percentage Error (MAPE) of training for reservoir zone prediction by exploiting Levenberg - Marquardt is 0.3803 % with 500 iteration. Validity test results based on ROC curve with cross validation folds 10 is 84.9984% and area of under ROC is 0.992. This result showed that this method has a high potential to be used in real exploration activities so that the predicting reservoir zone then can be done precisely.","PeriodicalId":298950,"journal":{"name":"2017 IEEE Symposium on Computer Applications & Industrial Electronics (ISCAIE)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130568005","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: 3

Design of a low voltage DC grid interfacing PV and energy storage systems 一种连接光伏与储能系统的低压直流电网设计

2017 IEEE Symposium on Computer Applications & Industrial Electronics (ISCAIE) Pub Date : 2017-04-01 DOI: 10.1109/ISCAIE.2017.8074949

H. Elfeqy, A. Al-Rumaihi, M. Shahin, A. Massoud, A. Gastli

引用次数: 4

Low noise differential amplifier design using novel inGaAs/inALAs pHEMT for wireless applications 采用新颖的inGaAs/inALAs pHEMT设计的低噪声差分放大器，用于无线应用

2017 IEEE Symposium on Computer Applications & Industrial Electronics (ISCAIE) Pub Date : 2017-04-01 DOI: 10.1109/ISCAIE.2017.8074953

N. Ahmad, M. Muhamad, C. Wooi, M. Isa

引用次数: 1

Negative bias temperature instability characterization and lifetime evaluations of submicron pMOSFET 亚微米pMOSFET负偏置温度不稳定性表征及寿命评估

2017 IEEE Symposium on Computer Applications & Industrial Electronics (ISCAIE) Pub Date : 2017-04-01 DOI: 10.1109/ISCAIE.2017.8074978

S. Hatta, H. Hussin, F. Y. Soon, Y. A. Wahab, D. Hadi, N. Soin, A. Alam, A. Nordin

引用次数: 3

Adaptive authentication: Implementing random canvas fingerprinting as user attributes factor 自适应认证:实现随机画布指纹作为用户属性因素

2017 IEEE Symposium on Computer Applications & Industrial Electronics (ISCAIE) Pub Date : 2017-04-01 DOI: 10.1109/ISCAIE.2017.8074968

N. Daud, G. R. Haron, Siti Suriyati Syd Othman

引用次数: 13

Mode division multiplexing of helical-phased spot mode and donut mode in multimode fiber interconnects 多模光纤互连中螺旋相点模和圆环模的分模复用

2017 IEEE Symposium on Computer Applications & Industrial Electronics (ISCAIE) Pub Date : 2017-04-01 DOI: 10.1109/ISCAIE.2017.8074977

Yousef Fazea, A. Amphawan, O. Qtaish

引用次数: 5

Chaotic fractal search algorithm for global optimization with application to control design 混沌分形搜索算法的全局优化及其在控制设计中的应用

2017 IEEE Symposium on Computer Applications & Industrial Electronics (ISCAIE) Pub Date : 2017-04-01 DOI: 10.1109/ISCAIE.2017.8074960

T. A. Rahman, A. As’arry, N. A. A. Jalil, R. K. R. Ahmad

引用次数: 7

IoT-based personal health care monitoring device for diabetic patients 基于物联网的糖尿病患者个人健康监护监护装置

2017 IEEE Symposium on Computer Applications & Industrial Electronics (ISCAIE) Pub Date : 2017-04-01 DOI: 10.1109/ISCAIE.2017.8074971

R. A. Rahman, Nur Shima Abdul Aziz, M. Kassim, M. I. Yusof

{"title":"IoT-based personal health care monitoring device for diabetic patients","authors":"R. A. Rahman, Nur Shima Abdul Aziz, M. Kassim, M. I. Yusof","doi":"10.1109/ISCAIE.2017.8074971","DOIUrl":"https://doi.org/10.1109/ISCAIE.2017.8074971","url":null,"abstract":"This paper presents a non-invasive breath test to monitor the condition of diabetic patients. It is identified as an easier technique and quick diagnoses of diabetic ketoacidosis (DKA). DKA is a preventable acute complication of type 1 diabetes mellitus. Common diabetic test on patients are done on urinary test and blood ketone test to monitor for diabetes condition. However, those methods are considers as invasive, inconvenient and expensive. Recently, breath acetone has been considered as a new ketone biomarker because it is non-invasive, convenient, and accurate reflection of the body's ketone level. This research presents a method of monitoring ketone level by using breath measurement. Main objective of this research is to present an easy handheld health care on monitoring diabetic level with breath. Method consists of development of hardware connection with Internet of Things (IoT) system to facilitate the process of patients' diagnosis and personal monitoring. In this system, Arduino board is used to read the sensor with sense the breath. Breath value level is log to system using wireless communication. Data collection is interfaced to web page. Ketone level is measured as the amount of breath acetone is collected when patients exhale into a mouthpiece that consists of gas sensor. The reading from Arduino is shared to the database via ESP 8266 Wi-Fi Module and can be accessed by the patients or registered doctors. This research is significant where patients can independently monitor their diabetic health and the IoT system can be alerted directly to medial officers in the hospitals.","PeriodicalId":298950,"journal":{"name":"2017 IEEE Symposium on Computer Applications & Industrial Electronics (ISCAIE)","volume":"96 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125985401","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: 52

The characteristics of human body electromagnetic radiation frequencies for stroke patients and non-stroke participants 脑卒中患者和非脑卒中参与者的人体电磁辐射频率特征

2017 IEEE Symposium on Computer Applications & Industrial Electronics (ISCAIE) Pub Date : 2017-04-01 DOI: 10.1109/ISCAIE.2017.8074979

R. Kadir, Z. H. Murat, M. Taib, S. A. Jalil

引用次数: 1

ECG based unique identity for embedded devices 基于心电的嵌入式设备唯一身份识别

2017 IEEE Symposium on Computer Applications & Industrial Electronics (ISCAIE) Pub Date : 2017-04-01 DOI: 10.1109/ISCAIE.2017.8074973

L. Adnan, H. Hashim

{"title":"ECG based unique identity for embedded devices","authors":"L. Adnan, H. Hashim","doi":"10.1109/ISCAIE.2017.8074973","DOIUrl":"https://doi.org/10.1109/ISCAIE.2017.8074973","url":null,"abstract":"In the last decade, sensor nodes have been widely deployed in many application, owing to the their simple attributes and installation process. However, the sensors nodes are vulnerable to many potential threats such as node cloning and identity attack. The threats become more significant when the nodes are used in applications such as biomedical and e-Health applications where trust, privacy and security are of a major concern. In trusted systems, identity plays an important role in completing the chain of trust. One of the potential attacks on wireless sensor nodes is identity attack namely replication attack where one or more nodes illegitimately claim the identity (ID) of a legitimate node and replicate itself throughout wireless sensor network (WSN). Deployment of high security solutions leads to implementation challenges such overcoming the resource constraints that exist in sensor nodes and the need for arbitration by trusted third parties. This study explores the feasibility of using the human electrocardiogram (ECG) characteristics in generating the identity of the sensor node platform thus eliminating the need to store the identity on the node itself. An identity generation algorithm is derived from features extraction and reduction signal to cope with the constraint of the sensor node platform and provide the main solution to the above mentioned issues.","PeriodicalId":298950,"journal":{"name":"2017 IEEE Symposium on Computer Applications & Industrial Electronics (ISCAIE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130658237","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: 0