{"title":"A Roadmap: Towards Security Challenges, Prevention Mechanisms for Fog Computing","authors":"M. Ashraf, Iqra Ilyas, Farzana Younas","doi":"10.1109/icecce47252.2019.8940776","DOIUrl":"https://doi.org/10.1109/icecce47252.2019.8940776","url":null,"abstract":"Fog computing could be a fashionable paradigm of delicate computing that prolong cloud to the edge of networks and offers expert knowledge access, computational power, storage, and networking. Fog Computing helps to make low latency network connections between devices and their isolating finish points. Its design, in turn, shrinks the quantity of information measure required once associated to cloud. Additionally, Fog systems are moveable, and may be put in on numerous hardware. Because of dominating trend of wireless networking in fog, security could be a massive concern to fog computing. Due to the current attributes and architecture of fog computing many other security threats also arise. This study consists to investigate the current research work on Fog computing to spot mutual security holes. During this paper we have discussed security challenges in fog computing and existing strategies to address security challenge over FOG environment. Consequently, the promising models has been recommended with facts to address security issues in Fog. Computing.","PeriodicalId":111615,"journal":{"name":"2019 International Conference on Electrical, Communication, and Computer Engineering (ICECCE)","volume":"133 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115429334","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}
{"title":"Smart Heat Stress and Toxic Gases Monitoring Instrument with a Developed Graphical User Interface Using IoT","authors":"Hassan Jamal, M. Huzaifa, M. Sodunke, J. Odiete","doi":"10.1109/icecce47252.2019.8940738","DOIUrl":"https://doi.org/10.1109/icecce47252.2019.8940738","url":null,"abstract":"In any given environment, human body's ability to maintain homeostasis accounts his probability of life and death. Thus, its importance cannot be overlooked, as it allows hormones and enzymes to be ‘fine-tuned’ at a specific set of conditions, and allows efficient operation. The interest in the human body physiological capacity to endure extreme heat and cold conditions has raised enormously in the last few decades because of global warming and the sudden changes in temperature. This research focused on the development of a smart real-time monitoring instrument to detect and measure heat stress and toxic gases (CO, NO2 and H2S) on Java developed Graphical User Interface (GUI) using the Internet of Things (IoT) technology. The designed system uses DHT 22 (temperature and humidity), MQ7, MQ136 and MQ131 (CO, H2S and NO2 gas) sensors which are coupled with SEN0170 wind sensor. Atmega 328-PU with its Wi-Fi shield 101 is used for the purpose of controlling and Wi-Fi communication between Remote Terminal Unit (RTU) and GUI. The performance of the developed system was critically appraised and the accuracies measured from the toxic gases, Temperature Humidity Index (THI) and Wind Chill Index (WCI) were recorded as 97.3%, 97.8% and 96.2% respectively.","PeriodicalId":111615,"journal":{"name":"2019 International Conference on Electrical, Communication, and Computer Engineering (ICECCE)","volume":"79 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115743859","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}
Javaria Nadeem, F. Khan, Ayesha Akhtar, Faridullah Khan
{"title":"Parametric Analysis and Optimization of Non-Contact Transversally Actuated RF MEMS Switch with High Reliability for Wireless Applications","authors":"Javaria Nadeem, F. Khan, Ayesha Akhtar, Faridullah Khan","doi":"10.1109/icecce47252.2019.8940688","DOIUrl":"https://doi.org/10.1109/icecce47252.2019.8940688","url":null,"abstract":"This paper presents the study of novel non-contact electrostatically actuated transverse RF MEMS switch. The proposed structure consists of transverse comb actuators which are used to turn the switch ON and OFF. Design is operated at the pull-in point which can achieve the displacement of 10.5 µm at 32.6 volts. To avoid short circuiting of the switch, stoppers are used at the distance of 10.5 µm from the spring beams. The proposed switch is free from stiction issues, which are common in series and shunt contact switches. The design was verified by simulating RF part in CST microwave studio while mechanical simulations were confirmed with the help of Intellisuite software. Simulated ON state insertion loss was -0.1331 dB, while OFF state isolation was -24.96 dB respectively at 6 GHz. The von-misses stress of maximum 39.53 MPa has been observed during operation of the switch which is much less than the 7 GPa critical strength of Silicon. Area of the tunable switch is 2.090 × 1.400 mm2.","PeriodicalId":111615,"journal":{"name":"2019 International Conference on Electrical, Communication, and Computer Engineering (ICECCE)","volume":"46 39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123943353","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}
Anum Zulqarnain, Quratulain, Ramlah Baber, Sarah Saeed
{"title":"Square Spiral Microstrip Patch Antenna","authors":"Anum Zulqarnain, Quratulain, Ramlah Baber, Sarah Saeed","doi":"10.1109/icecce47252.2019.8940649","DOIUrl":"https://doi.org/10.1109/icecce47252.2019.8940649","url":null,"abstract":"Our project describes the analysis and design of square spiral microstrip patch antenna for multi band frequencies. As compared with old conventional antennae, microstrip patch antennae have more advantages and better prospects. Such antennae are light-weighted, circularly polarized and can be easily fabricated. They have smaller dimensions and lower volume. Simulation is done on ‘Computer Simulation Technology (CST)’ software and project hardware are implemented as well. Both simulation and hardware results show notches at two different frequencies; quite deep notch is present at our operating frequency of 2.4GHz. The radiation pattern shows one main lobe and no side lobes. Moreover, our designed antenna shows good impedance matching at 50ohm, accepted gain, directivity and return loss, less reflection coefficient, desirable s-parameter and VSWR, radiation pattern for operating frequency and bandwidth. In the light of above-mentioned experiment outcomes, we can say that our antenna is fabricated for multiband frequencies. Less reflection leads to more power transmission. Absence of side lobes and presence of main lobe indicates minimum wastage of energy with all incoming wave propagating in forward direction.","PeriodicalId":111615,"journal":{"name":"2019 International Conference on Electrical, Communication, and Computer Engineering (ICECCE)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130582487","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}
Muhammad Asim Munir, A. Khattak, K. Imran, A. Ulasyar, Adeel Khan
{"title":"Solar PV Generation Forecast Model Based on the Most Effective Weather Parameters","authors":"Muhammad Asim Munir, A. Khattak, K. Imran, A. Ulasyar, Adeel Khan","doi":"10.1109/icecce47252.2019.8940664","DOIUrl":"https://doi.org/10.1109/icecce47252.2019.8940664","url":null,"abstract":"Solar energy is one of the major renewable energy sources with the potential to cope with the future energy challenges. But the penetration of solar PV generation in the electrical grid is a serious concern because of variable availability. Therefore, solar PV generation forecasting is essential for planning and efficient operation. The forecasting model is based on Artificial Neural Network (ANN) with forecasted and historical weather parameters i.e., temperature, dew point, relative humidity and wind speed as inputs. The aim of this study is to determine the most effective combination of weather variables to be used as input to the model. For this, all the possible combinations of the inputs are applied to ANN and the best one is obtained by analysis of the results. Mean Absolute Percentage Error (MAPE) is used as a measure to compare the results. To train the ANN model, one year's weather and generation data of 20.8 kW PV system with an hourly resolution is used. 24 hours ahead forecasting of the generation is done using forecasted weather data of 14 days selected from the dataset of 130 days. Combination of three parameters (temperature, relative humidity and dew point) results in an average MAPE of 14.86% while the use of all four parameters as inputs gives 14.33% of MAPE.","PeriodicalId":111615,"journal":{"name":"2019 International Conference on Electrical, Communication, and Computer Engineering (ICECCE)","volume":"229 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123315020","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}
Arsalan Khan, Sheryar Mehmood Awan, Muhammad Arif, Z. Mahmood, Gul Zameen Khan
{"title":"A Robust Segmentation Free License Plate Recognition Method","authors":"Arsalan Khan, Sheryar Mehmood Awan, Muhammad Arif, Z. Mahmood, Gul Zameen Khan","doi":"10.1109/icecce47252.2019.8940769","DOIUrl":"https://doi.org/10.1109/icecce47252.2019.8940769","url":null,"abstract":"Automatic License Plate Recognition (ALPR) aims to extract vehicle license plate information from an image/video. Different factors associated with license plates, such as low-resolution, non-uniform illuminations, and view angle add a level of difficulty for any ALPR algorithm to perform accurately under aforementioned situations. To address these issues, this paper presents a robust and efficient segmentation free ALPR algorithm. The proposed algorithm uses adaptive boosting integrated with the Linear Discriminant Analysis (LDA) for features extraction and Classic Nearest Neighbor Classifier (CNNC) for classification. Detailed simulations on the Caltech database reveal that the proposed method outperforms recent state-of-the-methods in terms recognition accuracy, precison, and recall ratios at different day times on different angular views license plates.","PeriodicalId":111615,"journal":{"name":"2019 International Conference on Electrical, Communication, and Computer Engineering (ICECCE)","volume":"123 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122228948","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}
Adeel Khan, A. Khattak, A. Ulasyar, K. Imran, Muhammad Asim Munir
{"title":"Investigation of Archimedean Screw Turbine for Optimal Power Output by Varying Number of Blades","authors":"Adeel Khan, A. Khattak, A. Ulasyar, K. Imran, Muhammad Asim Munir","doi":"10.1109/icecce47252.2019.8940654","DOIUrl":"https://doi.org/10.1109/icecce47252.2019.8940654","url":null,"abstract":"Archimedes Screw Turbine (AST) is specifically used in low head and high rate run of river power plants. Dimensions and hence power output of AST are dependent on many site parameters. Among these parameters number of blades is of paramount importance. In addition, there is no appropriate model for the optimal design of AST. Keeping in view this problem, this research work presents Computational Fluid Dynamics analysis on 3-D model numerical simulation of the flow of water in steady turbulent in the passage of an Archimedes screw turbine. Performances of parameters under varying number of blades are analyzed using fluid flow code in ANSYS. Multiple designs are investigated for a selected site's data, and results are represented in the terms of pressure, torque, mechanical power and efficiency. A new analytical model is designed, investigated and all output parameters are determined to achieve the maximum power output.","PeriodicalId":111615,"journal":{"name":"2019 International Conference on Electrical, Communication, and Computer Engineering (ICECCE)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122247719","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}
{"title":"Landing of Aircraft Using Integral State Feedback Sliding Mode Control","authors":"A. Mahmood, A. I. Bhatti, Bilal A. Siddique","doi":"10.1109/icecce47252.2019.8940802","DOIUrl":"https://doi.org/10.1109/icecce47252.2019.8940802","url":null,"abstract":"Landing is daunting control design problem because it demands high accuracy and precision by pilot. Among the various states to control for stability and landing in an Aircraft, one is its altitude to handle during landing. Since the linearized model of aircraft is considered and is used for altitude control design. For best tracking performance during glide and flare phase, Integral State feedback Sliding Mode Control (ISSMC) is applied, which is based on unit vector approach. To eliminate error between responded altitude and referenced altitude, a dynamic demand first order filter is used. There has been noted a significant improvement in performance as compared with PID control. When comparing the Integral State feedback Sliding Mode Control with PID during landing phase, the ISSMC yields the best response of glide and flare maneuverability for smooth touch down during landing on runway.","PeriodicalId":111615,"journal":{"name":"2019 International Conference on Electrical, Communication, and Computer Engineering (ICECCE)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125726546","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}
{"title":"Performance Comparison of Hard Decision Schemes in the Presence of Malicious Users","authors":"A. Ahmed, N. Gul, I. Rasool, A. Elahi","doi":"10.1109/icecce47252.2019.8940666","DOIUrl":"https://doi.org/10.1109/icecce47252.2019.8940666","url":null,"abstract":"Cognitive Radio Network (CRN) is an intelligent technique to access the radio spectrum. In CRN the Secondary Users (SUs) sense the spectrum hole of the Primary User (PU) band opportunistically. Spectrum sensing is the major step in CRN to observe the Primary User (PU) signal. For individual user, sensing ability is affected by fading and shadowing. Cooperative Spectrum Sensing (CSS) provide solution to the problem of fading and shadowing where multiple SUs cooperates with each other to catch the absence and presence of PU signal. However, it is vulnerable to a variety of malicious User (MU) attacks. These MUs are unfriendly to the sensing results that could be achieved by CSS. In the proposed work performance of hard combination schemes are tested under varying Signal to Noise Ratios (SNRs). The performance of the hard combination schemes such as majority voting, logical-AND and logical-OR are tested in the presence of Lazy Users (LUs) and Opposite Malicious Users (OMU) at different SNR levels. Results indicate that hard combination scheme such as majority voting outperforms all other schemes, such as logical-OR and logical-AND.","PeriodicalId":111615,"journal":{"name":"2019 International Conference on Electrical, Communication, and Computer Engineering (ICECCE)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115246899","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}
M. Awais, S. Z. Hassan, T. Kamal, Amir Zahoor, M. A. Khan, M. Riaz
{"title":"Control System for Spinning Machine Induction Motor using PLC","authors":"M. Awais, S. Z. Hassan, T. Kamal, Amir Zahoor, M. A. Khan, M. Riaz","doi":"10.1109/icecce47252.2019.8940797","DOIUrl":"https://doi.org/10.1109/icecce47252.2019.8940797","url":null,"abstract":"Programmable logic controllers (PLCs) are at the vanguard of industrial automation. In this article a PLC based control system is design and later on implemented on an induction motor used inside textile industry in spinning plant, further it can be implemented on any other industry. Also, it is implemented by designing hardware circuitry for induction motor's speed control by attaching motor to PLC and tested it. The results are collected for at two conditions; normal and trip operation conditions. With the addition of PLC in the existing system for control and automation of spinning machine's induction motor accuracy is higher than the normal traditional voltage-frequency (V/f) control mechanism and control system. This control system using PLC increases the efficiency of induction motor to 95%. In terms of speed regulation and efficiency, the PLC is very adaptable tool for industry and electric drives control.","PeriodicalId":111615,"journal":{"name":"2019 International Conference on Electrical, Communication, and Computer Engineering (ICECCE)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133980613","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}