Mohammad Shahid, Zubair Ashraf, M.Aftab Alam, Faisal Ahmad, Mohammad Imran
{"title":"A Multi-Objective Workflow Allocation Strategyin IaaS Cloud Environment","authors":"Mohammad Shahid, Zubair Ashraf, M.Aftab Alam, Faisal Ahmad, Mohammad Imran","doi":"10.1109/ICCCIS51004.2021.9397081","DOIUrl":"https://doi.org/10.1109/ICCCIS51004.2021.9397081","url":null,"abstract":"IaaS Cloud provides infrastructural serviceon rental basis on demand by pooling of dynamically provisioned heterogeneous resources to cater the user’s workflow applications. Workflows occur in business and industrial applications such as project management, supply chain management, molecular structure, blockchain, business process and require large distributed resource requirement. Workflow mapping while meeting the user’s requirements in cloud environment has been proven as NP-Hard. In this work, we proposed a multi-objective workflow allocation (MOWA) strategy cloud to minimize makespan and flowtime simultaneously for IaaS. Level attributes has been taken to preserve precedence constraints. An experimental study has been conducted in MATLAB by producing a set of tradeoff solutions for MOWA and MOHEFT. Further, Pareto front performance measures of the tradeoff solutions are computed and compared. Study shows that the achieved solutions for MOWA are better Pareto-optimal solutions.","PeriodicalId":316752,"journal":{"name":"2021 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS)","volume":"515 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132754749","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":"Spatio-Temporal Clustering Analysis for Air Pollution Particulate Matter (PM2.5) Using a Deep Learning Model","authors":"Doreswamy, H. K S, Ibrahim Gad, Yogesh K M","doi":"10.1109/ICCCIS51004.2021.9397129","DOIUrl":"https://doi.org/10.1109/ICCCIS51004.2021.9397129","url":null,"abstract":"Fine particulate issue (PM2.5) is normal air contamination and has antagonistic well-being impacts globally, particularly in the quickly industrial nation such as Taiwan because of massive air contamination. The PM2.5 pollution changes with existence separation and is overwhelmed by the area’s limitation inferable from the distinction’s uniqueness in topographical conditions including geology and meteorology, and the trademark’s gadget normal for urbanization and industrialization. To portray these boundaries and components, contention, and mechanics, the five-years PM2.5 contamination examples of Newport area’s duty in eastern Taiwan with high-goal senior high goal were explored. This resolution was found using the linear assignment to build the clustering model with a convolution autoencoder for Spatio-temporal analysis for air pollution particulate matter PM2.5. In all the above models fully connected model is a better result performance model.","PeriodicalId":316752,"journal":{"name":"2021 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS)","volume":"122 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134520241","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}
Woottichai Nonsakhoo, Saiyan Saiyod, Piyanat Sirisawat, R. Suwanwerakamtorn, N. Chamadol, N. Khuntikeo
{"title":"Liver Ultrasound Image Classification of Periductal Fibrosis Based on Transfer Learning and FCNet for Liver Ultrasound Images Analysis System","authors":"Woottichai Nonsakhoo, Saiyan Saiyod, Piyanat Sirisawat, R. Suwanwerakamtorn, N. Chamadol, N. Khuntikeo","doi":"10.1109/ICCCIS51004.2021.9397182","DOIUrl":"https://doi.org/10.1109/ICCCIS51004.2021.9397182","url":null,"abstract":"The current population of Southeast Asia is found to have died of Cholangiocarcinoma (CCA) approximately 28,000 each year. CCA risk factors, particularly the finding of Periductal Fibrosis (PDF), were observed and measured by analyzing the ultrasonography (US) image. The CCA Screening and Care Program (CASCAP) carry and store the enormous US images in their data warehouse server to facilitate the online diagnosis by the experts. While the amount of data increasing but the expert whose responsibility to determine the existence of PDF in US image is less dramatic. This leads to a decrease in the survival rate of the patients. Due to this crisis problem, we proposed a structure of transfer learning to classify the stages of PDF which is being used in the development of a Liver Ultrasound Image Analysis System (LUIAS). We also introduced data augmentation to boost the characteristic of the PDF criterion in the data preparation step, which is designed by modification of the Discrete Fourier Transform. Cross-validation is applied to the learning process to evaluate the overall performance of the structure. The experimental results show the proposed method can reach a higher accuracy compare to the conventional technique, which is 0.92 and 0.81 respectively. The best stage of the learning process is also deep copied to be further used as a classifier in practical operation at LUIAS.","PeriodicalId":316752,"journal":{"name":"2021 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134368321","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":"Design and Analysis of LFSR based Content Addressable Memory","authors":"Vyom Garg, Parangat Mittal","doi":"10.1109/ICCCIS51004.2021.9397071","DOIUrl":"https://doi.org/10.1109/ICCCIS51004.2021.9397071","url":null,"abstract":"This paper presents a Linear Feedback Shift Register (LFSR) based Content Addressable Memory (CAM) that focuses on reducing the area compared to a combinational design of the memory. A simple sequential counter-based memory architecture can also be used for the same, but, an LFSR based CAM architecture increases the randomness and thus liable to acquire better access time within the memory. The design majorly consists of a Reconfigurable LFSR and an encoder module coupled with a ROM to configure the LFSR. Further, a counter is used for writing data sequentially into the memory array. The proposed architecture is simulated on Icarus Verilog to validate the hypothesis and achieved the hypothesised improvements in memory access times.","PeriodicalId":316752,"journal":{"name":"2021 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS)","volume":"84 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133677767","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":"Comparative Study of Machine Learning Algorithms for Portuguese Bank Data","authors":"Arushi Gupta, Anjali Raghav, S. Srivastava","doi":"10.1109/ICCCIS51004.2021.9397083","DOIUrl":"https://doi.org/10.1109/ICCCIS51004.2021.9397083","url":null,"abstract":"Direct marketing involves telephone calls, personalized emails, and messages, newsletters, which catch the eye of the customer, and in turn, attract them towards the company. In this paper data of a Portuguese bank is considered. The bank makes a call to its potential customers regarding its term deposit schemes and is interested in customers that will invest in term deposits. With the advent of machine learning algorithms in prediction, comparative study of various algorithms such as Support Vector Machine (SVM), Gaussian Naïve Bayes, Random Forest, Light Gradient Boosting (GBM), and Extreme Gradient Boosting is performed for the said data set. Light GBM gives the best results among these in very less processing time.","PeriodicalId":316752,"journal":{"name":"2021 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132370614","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":"Slotted Planar Dual-band Antenna for Wireless Communication","authors":"K. Sreelakshmi, G. S. Rao","doi":"10.1109/ICCCIS51004.2021.9397233","DOIUrl":"https://doi.org/10.1109/ICCCIS51004.2021.9397233","url":null,"abstract":"A printed patch antenna that facilitates dual-band frequency operation for wireless communication applications has been presented in this paper. The presented antenna facilitates operation at the frequencies of 2.45 GHz and 3.48 GHz which are useful in wireless communication applications such as Bluetooth 2.0 and Wi-MAX. A low loss Fire Retardant-4 has been used to design the antenna having relative permittivity εr = 4.4 and dielectric loss tangent of 0.02. The presented multi-band frequency antenna has dimensions of 70 × 60 × 2.87 mm3. The coaxial feed has been used as feed to the proposed rectangular patch antenna. A considerable gain of 7.69 dB and 5.78 dB for the operating frequencies of 2.45 GHz and 3.48 GHz accordingly is observed. The geometrical shape of the antenna consists of two symmetrical square slots placed equidistant from a cross-slot in the center of the radiating patch which provides the dual-band operation.","PeriodicalId":316752,"journal":{"name":"2021 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS)","volume":"130 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114700813","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}
Hassam Tahir, Muhammad Shahbaz Khan, Muhammad Owais Tariq
{"title":"Performance Analysis and Comparison of Faster R-CNN, Mask R-CNN and ResNet50 for the Detection and Counting of Vehicles","authors":"Hassam Tahir, Muhammad Shahbaz Khan, Muhammad Owais Tariq","doi":"10.1109/ICCCIS51004.2021.9397079","DOIUrl":"https://doi.org/10.1109/ICCCIS51004.2021.9397079","url":null,"abstract":"Traffic congestion is one of the major issues of urban cities. The conventional techniques used usually to control traffic via different types of sensors are less precise and expensive. Intelligent solutions using deep learning algorithms provide promising results in terms of better performance, prompt decision making and cost effectiveness. This article aims at providing an easy, more accurate and less expensive solution for the traffic control issues specifically at the traffic signals. Three deep neural network (DNN) frameworks i.e. Faster R-CNN, Mask R-CNN and ResNet-50 have been implemented and compared for vehicle detection, classification and counting. A dataset of 3200 images of different vehicles is used for the training of the models. The training is carried out on NVIDIA 1060TI 3GB GPU. Trained system is tested on indigenous recorded video data of 8 hours for two routes at a traffic signal. Results demonstrated that the overall detection accuracy of Faster R-CNN and Mask R-CNN is >80%, whereas detection accuracy of ResNet-50 is >75%. The counting accuracies of Faster R-CNN, Mask R-CNN and ResNet-50 are >75%, >70% and >62% respectively. Various error analysis have been carried out to validate the performance of the aforementioned frameworks. Furthermore, a prototype has also been developed by interconnecting the DNN results with Arduino via Serial communication.","PeriodicalId":316752,"journal":{"name":"2021 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS)","volume":"227 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131810662","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":"USB Rubber Ducky Detection by using Heuristic Rules","authors":"Lakshay Arora, Narina Thakur, S. Yadav","doi":"10.1109/ICCCIS51004.2021.9397064","DOIUrl":"https://doi.org/10.1109/ICCCIS51004.2021.9397064","url":null,"abstract":"With the rise in tightening of the Cybersecurity rules and policies implemented by the corporate houses, the work that malicious hackers need to do to compromise a system has risen exponentially. A significant part of a hacker's work goes into the bypassing of the firewalls and intrusion into the main systems. A comparatively easy way to bypass all systems is USB rubber ducky, which is a simple USB stick that impersonates a keyboard by changing its hardware ID and thus executing commands as if a user was manually typing them. This attack has proved to exploit the least proficient part of cyber-defense that is humans. In this research paper, we discuss a utility that can easily detect malicious USB by using heuristic checks. This utility, named ducky-detector, can easily segregate keyboard input by finding the discrepancies that arise due to the automated functioning of the USB rubber ducky device. Ducky-Detector has proved to out-smarten all the present solutions to this problem with almost perfect accuracy, no false positives, and really low computational power required. Ducky detector has been tested against a wide variety of commercial and free Antivirus software with variable payloads, thus simulating a real-life scenario where payloads can vary to any extent. Ducky-detector induces a mere 0.9% overhead on a Linux distribution system.","PeriodicalId":316752,"journal":{"name":"2021 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122099753","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 Analysis of an Improved Variable Step-Size IC MPPT Technique for SPV System","authors":"Yagyadatta Goswami, K. Rana, Vineet Kumar","doi":"10.1109/ICCCIS51004.2021.9397127","DOIUrl":"https://doi.org/10.1109/ICCCIS51004.2021.9397127","url":null,"abstract":"Over the decades, the two classical Maximum Power Point Tracking (MPPT) techniques namely, the Perturb and Observe (P&O) and the Incremental Conductance (IC) mainly being used due to their simple and cost-efficient implementation. However, both the techniques have a common drawback of residual oscillations around Maximum Power Point (MPP) on account of the fixed step-size. This paper presents a modified IC MPPT technique by varying the step-size to enhance the capability of fixed step-size IC MPPT technique for a Solar Photovoltaic (SPV) system. The used estimate of step-size has been drawn from the fractional change in power with respect to the current. The reported MATLAB®/Simulink® environment based simulation results clearly demonstrated the superiority of modified IC MPPT controller is over its classical counterpart.","PeriodicalId":316752,"journal":{"name":"2021 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS)","volume":"83 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130436483","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":"Magnetless 3-pole Non-reciprocal Bandpass Filter: Numerical Analysis with MATLAB Simulation","authors":"P. Dutta, G. Arun Kumar, G. Ram, D. Suneel Varma","doi":"10.1109/ICCCIS51004.2021.9397139","DOIUrl":"https://doi.org/10.1109/ICCCIS51004.2021.9397139","url":null,"abstract":"Nonreciprocal filters using time-varying transmission lines (TVTL) have recently gained prominence. The basis of their functionality lies in time modulation of space separated resonators using sinusoids having progressive phase shifts. Numerical analysis has been put forward to demonstrate the underlying principles followed by analytical simulations to illustrate the scattering parameters. The purpose of this paper is to analytically formulate and simulate a bandpass filter exhibiting non-reciprocity at the center frequency deploying the concept of time-modulated transmission lines. The periodically loaded resonators in the bandpass filter structure are modulated with sinusoidal signals having progressive phase shifts. The resonators, being separated in space as well as being temporally modulated with signals having progressive phase shifts, the phenomenon is termed as ’spatio-temporal' modulation (STM).","PeriodicalId":316752,"journal":{"name":"2021 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115349658","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}