2018 14th International Conference on Emerging Technologies (ICET)最新文献_第4页

Challenges of Cybercrimes to Implementation of Legal Framework 网络犯罪对法律框架实施的挑战

2018 14th International Conference on Emerging Technologies (ICET) Pub Date : 2018-11-01 DOI: 10.1109/ICET.2018.8603645

Zunaira Sattar, Shazia Riaz, Shafia, A. U. Mian

{"title":"Challenges of Cybercrimes to Implementation of Legal Framework","authors":"Zunaira Sattar, Shazia Riaz, Shafia, A. U. Mian","doi":"10.1109/ICET.2018.8603645","DOIUrl":"https://doi.org/10.1109/ICET.2018.8603645","url":null,"abstract":"With the progressing technology there is a new breed of crimes that is capable of crossing geographical boundaries. Regulatory authorities and legal reforms do not have much capacity to control these crimes. Pakistan as developing country, is determined to follow legal and regulatory frameworks to control cyber terrorism. With emergence of 4G technology, people of Pakistan are venturing into online business and social media entertainment or communication, with rising number of cybercrimes every day. The need to completely eliminate cybercrimes hazard is becoming more important. This study is conducted on the subjects which were either part of victimization by cybercrimes or could identify some of the steps to stop cyberterrorism. The reasons include lack of awareness about cybercrimes, unemployment, lack of education and less implementation of cyber laws. The effects of cybercrimes on the society include reducing the personal growth of people both moral and economical, wastage of time and misrepresentation to the country’s image. It also includes financial damages to large business. This research also focuses the awareness regarding offences to control the cybercrimes in Pakistan in context with legal reforms and cyber laws. Cyber act is the law for prevention of electronic crime act 2016. There is strong need of increasing social campaigns and against cybercrimes. People should adopt strong security measures to prevent themselves from cyber thieves.","PeriodicalId":443353,"journal":{"name":"2018 14th International Conference on Emerging Technologies (ICET)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121999387","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

Cloudlet-based Augmentation of Mobile Devices 基于云的移动设备增强

2018 14th International Conference on Emerging Technologies (ICET) Pub Date : 2018-11-01 DOI: 10.1109/ICET.2018.8603627

A. Raza, Irfan ul Haq, Usman Shaukat

引用次数: 1

Domain Specific Emotion Lexicon Expansion 特定领域情感词典扩展

2018 14th International Conference on Emerging Technologies (ICET) Pub Date : 2018-11-01 DOI: 10.1109/ICET.2018.8603550

Hussain S. Khawaja, M. O. Beg, Saira Qamar

引用次数: 21

Online Adaptive NeuroFuzzy Based Energy Management Schemes for Fuel-Cell Based Hybrid Power System 基于在线自适应神经模糊的燃料电池混合动力系统能量管理方案

2018 14th International Conference on Emerging Technologies (ICET) Pub Date : 2018-11-01 DOI: 10.1109/ICET.2018.8603637

M. Basit, R. Badar

引用次数: 2

Sentiment Analysis of Polarity in Product Reviews In Social Media 社交媒体中产品评论极性的情感分析

2018 14th International Conference on Emerging Technologies (ICET) Pub Date : 2018-11-01 DOI: 10.1109/ICET.2018.8603585

Marium Nafees, H. Dar, I. Lali, Salman Tiwana

引用次数: 6

Continuous and Noninvasive Blood Pressure Estimation by Two-Sensor Measurement of Pulse Transit Time 双传感器测量脉搏传递时间的连续无创血压估算

2018 14th International Conference on Emerging Technologies (ICET) Pub Date : 2018-11-01 DOI: 10.1109/ICET.2018.8603612

Anam Rasool, Muqudas Rafiq, Aisha Nasir, Faisal M. Kashif

{"title":"Continuous and Noninvasive Blood Pressure Estimation by Two-Sensor Measurement of Pulse Transit Time","authors":"Anam Rasool, Muqudas Rafiq, Aisha Nasir, Faisal M. Kashif","doi":"10.1109/ICET.2018.8603612","DOIUrl":"https://doi.org/10.1109/ICET.2018.8603612","url":null,"abstract":"Continuous and noninvasive monitoring of blood pressure is of vital importance in critical care. Its role in management of patients with or at risk of cardiovascular disease is ever increasing. Pulse-transit-time based approaches for estimation of blood pressure hold potential to provide a convenient solution, however there is a need to improve their accuracy. We employ a novel two-sensor technique using photoplethysmogram and piezo sensors for a more accurate measurement of pulse transit time (PTT). PTT is then mapped to arterial blood pressure via calibration process. We implement two different techniques for the PTT measurement. The first technique uses two pulse sensors, while the second technique makes use of one pulse sensor and one piezo element. Clinical data is collected from 46 subjects in the form of systolic, diastolic and mean blood pressure to provide a reference for the calibration step in two techniques. The results show decrease in error of systolic arterial pressure (SAP) and mean arterial pressure (MAP) for the second technique. The root mean square (RMS) error, measured for the calibration equations, reduced from 7.72 mm Hg to 5.26 mm Hg for SAP and from 7.07 mm Hg to 6.30 mm Hg for MAP. RMS error, measured by leave-one-out method, reduced from 8.45 mm Hg to 5.77 mm Hg for SAP and from 7.67 mm Hg to 6.90 mm Hg for MAP.","PeriodicalId":443353,"journal":{"name":"2018 14th International Conference on Emerging Technologies (ICET)","volume":"134 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127927464","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

Stress Effects on Exam Performance using EEG 压力对考试成绩的影响

2018 14th International Conference on Emerging Technologies (ICET) Pub Date : 2018-11-01 DOI: 10.1109/ICET.2018.8603652

Muhammad Adeel Hafeez, S. Shakil, Sobia Jangsher

{"title":"Stress Effects on Exam Performance using EEG","authors":"Muhammad Adeel Hafeez, S. Shakil, Sobia Jangsher","doi":"10.1109/ICET.2018.8603652","DOIUrl":"https://doi.org/10.1109/ICET.2018.8603652","url":null,"abstract":"Mental stress can be one of the most prominent factors of failure or poor performance in students. The traditional method of examination involves evaluating performance of students in limited time that may increase their stress level and may deteriorate their performance. Electroencephalogram (EEG) is one of the most commonly used methods to measure stress using brain waves. In this study, we investigate the influence of time limitation in exam on the performance of students and use EEG to explore the contribution of stress towards the change in performance. For this purpose, students performed mental arithmetic task (MAT) based on Montreal Imaging Stress Task of same difficulty level twice; once with time limitation accompanied by feedback for every question to induce stress and once without any time limitation and feedback. We observe vast difference in performance of the students for the two MAT tests and significant change in the power spectral density of theta, alpha, and beta frequency bands associated with increase in stress level for three chosen electrodes in EEG results. Our results show that stress may be one of the major factors for bad performance of the students in the exam resulting in failure.","PeriodicalId":443353,"journal":{"name":"2018 14th International Conference on Emerging Technologies (ICET)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127407783","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

Structured Uncertainty Modeling, Control Synthesis & Tracking of Coordinated Fingers Movement 手指协调运动的结构不确定性建模、控制综合与跟踪

2018 14th International Conference on Emerging Technologies (ICET) Pub Date : 2018-11-01 DOI: 10.1109/ICET.2018.8603551

Maryam Iqbal, A. Mahmood

引用次数: 1

Robot Localization in Indoor and Outdoor Environments by Multi-sensor Fusion 基于多传感器融合的室内外机器人定位

2018 14th International Conference on Emerging Technologies (ICET) Pub Date : 2018-11-01 DOI: 10.1109/ICET.2018.8603597

Sofia Yousuf, M. Kadri

{"title":"Robot Localization in Indoor and Outdoor Environments by Multi-sensor Fusion","authors":"Sofia Yousuf, M. Kadri","doi":"10.1109/ICET.2018.8603597","DOIUrl":"https://doi.org/10.1109/ICET.2018.8603597","url":null,"abstract":"Robot Localization (robot pose determination) has become an important aspect for a variety of tasks accomplished by mobile robots. Also accurate localization is required for robot tracking, path planning and control. Today, many sensor technologies are utilized to determine the exact robot location, for instance, in indoor environments, odometers (wheel encoders) and inertial navigation system (INS) are used to ascertain the relative position and pose of the robot. In outdoor environments, Global Positioning System (GPS) can also be integrated in the sensor suite to determine the actual position of the robot in terms of latitude and longitude. This paper presents a robust methodology for robot localization in indoor as well as outdoor environments by a mechanism known as \"data fusion\" of multiple sensors also called Multi-Sensor Fusion (MSF) or Information Fusion (IF). In, outdoor environments, the sensor information collected from the embedded INS and GPS modules on mobile test robot are fused using a recursive state estimation and fusion algorithm known as Kalman Filter (KF). The estimated position obtained using KF is then combined with odometer based position data using weighting scheme to obtain the final position estimate of the robot. The main contribution of this work is to employ a multi-layer perceptron neural network (MLP-NN) to provide robot position estimates in an indoor environment where GPS signals are blocked. The MLP-NN is trained when the GPS data is available. As soon as the GPS signals are lost the trained MLP-NN provides predictions regarding the current position of robot. The proposed scheme is tested on the GPS-INS data obtained from on board sensors attached to a mobile robot. Simulation results have been presented which establish the efficacy of the proposed scheme.","PeriodicalId":443353,"journal":{"name":"2018 14th International Conference on Emerging Technologies (ICET)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114937138","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