Vol 4 Issue 5最新文献

Reliability Awareness Multiple Path Installation in Software Defined Networking using Machine Learning Algorithm 基于机器学习算法的软件定义网络可靠性感知多路径安装

Vol 4 Issue 5 Pub Date : 2022-08-21 DOI: 10.33411/ijist/2022040510

Muzammal Majeed, Rashid Amin, Farrukh Shoukat Ali, Adeel Ahmed, Mudassar Hussain

{"title":"Reliability Awareness Multiple Path Installation in Software Defined Networking using Machine Learning Algorithm","authors":"Muzammal Majeed, Rashid Amin, Farrukh Shoukat Ali, Adeel Ahmed, Mudassar Hussain","doi":"10.33411/ijist/2022040510","DOIUrl":"https://doi.org/10.33411/ijist/2022040510","url":null,"abstract":"Link failure is still a severe problem in today's networking system. Transmission delays and data packet loss cause link failure in the network. Rapid connection recovery after a link breakdown is an important topic in networking. The failure of the networking link must be recovered whenever possible because it could cause blockage of network traffic and obstruct normal network operation. To overcome this difficulty, backup or secondary channels can be chosen adaptively and proactively in SDN based on data traffic dynamics in the network. When a network connection fails, packets must find a different way to their destination. The goal of this research is to find an alternative way. Our proposed methodology uses a machine-learning algorithm called Linear Regression to uncover alternative network paths. To provide for speedy failure recovery, the controller communicates this alternate path to the network switches ahead of time. We train, test, and validate the learning model using a machine learning approach. To simulate our proposed technique and locate the trials, we use the Mini net network simulator. The simulation results show that our suggested approach recovers link failure most effectively compared to existing solutions.","PeriodicalId":298526,"journal":{"name":"Vol 4 Issue 5","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131320151","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

Sun Tracking and Control Design for PV Solar energy system 光伏太阳能系统太阳跟踪与控制设计

Vol 4 Issue 5 Pub Date : 2022-06-30 DOI: 10.33411/ijist/2022040507

Adeel Abro, Sheher Bano, Umbreen Tariq, Irtiza Ali Shah

{"title":"Sun Tracking and Control Design for PV Solar energy system","authors":"Adeel Abro, Sheher Bano, Umbreen Tariq, Irtiza Ali Shah","doi":"10.33411/ijist/2022040507","DOIUrl":"https://doi.org/10.33411/ijist/2022040507","url":null,"abstract":"In this modern era of the rapid increase in population, a high rise in technology, and a large number of machinery installed, fuel demand has increased significantly. Non-renewable energies contribute a lot to producing energy worldwide, and that's why they are decreasing at an alarming rate. As an alternative, renewable energies have a high potential to solve this upcoming issue. In this paper, sunlight is utilized for the location of Islamabad, and an active solar tracker is designed. The objective is to develop a cost-effective system with low maintenance requirements. The tracking mechanism is modeled by two sensors, LDR and PV sensor. LDR sensor generates high resistance when light is incident on them, thus reducing the voltage production. PV sensors produce a voltage when sunlight is incident on them, and a voltage drop occurs if a shadow occurs. A thin plate between two LDR sensors or two PV sensors will cast a shadow according to the sun's position. It will create a voltage difference between the two sides, thus causing the system to track the sun. For smooth movement, a servomotor is an effective choice. The system is integrated with a microcontroller for a feedback system of output; Arduino Uno will regulate the uniform and accurate movement of the system. The research on azimuth and elevation angles for the location of an installment is also included in this paper. Different tests are performed for comparative study for both sensors to have performance analysis.","PeriodicalId":298526,"journal":{"name":"Vol 4 Issue 5","volume":"147 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115759143","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

What have you read? based Multi-Document Summarization 你读过什么书?基于多文档摘要

Vol 4 Issue 5 Pub Date : 2022-06-30 DOI: 10.33411/ijist/2022040508

Sabina Irum, Jamal Abdul Nasir, Zakia Jalil

{"title":"What have you read? based Multi-Document Summarization","authors":"Sabina Irum, Jamal Abdul Nasir, Zakia Jalil","doi":"10.33411/ijist/2022040508","DOIUrl":"https://doi.org/10.33411/ijist/2022040508","url":null,"abstract":"Due to the tremendous amount of data available today, extracting essential information from such a large volume of data is quite tough. Particularly in the case of text documents, which need a significant amount of time from the user to read the material and extract useful information. The major problem is identifying the user's relevant documents, removing the most significant pieces of information, determining document relevancy, excluding extraneous information, reducing details, and generating a compact, consistent report. For all these issues, we proposed a novel technique that solves the problem of extracting important information from a huge amount of text data and using previously read documents to generate summaries of new documents. Our technique is more focused on extracting topics (also known as topic signatures) from the previously read documents and then selecting the sentences that are more relevant to these topics based on update summary generation. Besides this, the concept of overlapping value is used that digs out the meaningful words and word similarities. Another thing that makes our work better is the Dice Coefficient which measures the intersection of words between document sets and helps to eliminate redundancy. The summary generated is based on more diverse and highly representative sentences with an average length. Empirically, we have observed that our proposed novel technique performed better with baseline competitors on the real-world TAC2008 dataset.","PeriodicalId":298526,"journal":{"name":"Vol 4 Issue 5","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127231182","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

Critical Review of Blockchain Consensus Algorithms: challenges and opportunities 区块链共识算法:挑战与机遇

Vol 4 Issue 5 Pub Date : 2022-06-30 DOI: 10.33411/ijist/2022040505

Muhammad Tahir, M. Sardaraz, Usman Aziz

{"title":"Critical Review of Blockchain Consensus Algorithms: challenges and opportunities","authors":"Muhammad Tahir, M. Sardaraz, Usman Aziz","doi":"10.33411/ijist/2022040505","DOIUrl":"https://doi.org/10.33411/ijist/2022040505","url":null,"abstract":"Blockchain is a distributed ledger in which transactions are grouped in blocks linked by hash pointers. Blockchain-based solutions provide trust and privacy because of the resistance to the inconsistency of data and advanced cryptographic features. In various fields, blockchain technology has been implemented to ensure transparency, verifiability, interoperability, governance, and management of information systems. Processing large volumes of data being generated through emerging technologies is a big issue. Many researchers have used Blockchain in various fields integrated with IoT, i.e., industry 4.0, biomedical, health, genomics, etc. Blockchain has the attributes of decentralization, solidness, security, and immutability with a possibility to secure the system design for transmission and storage of data. The purpose of the consensus protocols is to keep up the security and effectiveness of the blockchain network. Utilizing the correct protocol enhances the performance of the blockchain applications. This article presents essential principles and attributes of consensus algorithms to show the applications, challenges, and opportunities of blockchain technology. Moreover, future research directions are also presented to choose an appropriate consensus algorithm to enhance the performance of Blockchain based applications","PeriodicalId":298526,"journal":{"name":"Vol 4 Issue 5","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124728135","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

Charging Stations Distribution Optimization using Drones Fleet for Disaster Prone Areas 基于无人机编队的灾害多发地区充电站分布优化

Vol 4 Issue 5 Pub Date : 2022-06-30 DOI: 10.33411/ijist/2022040509

Zohaib Hassan, Irtiza Ali Shah, A. Rana

{"title":"Charging Stations Distribution Optimization using Drones Fleet for Disaster Prone Areas","authors":"Zohaib Hassan, Irtiza Ali Shah, A. Rana","doi":"10.33411/ijist/2022040509","DOIUrl":"https://doi.org/10.33411/ijist/2022040509","url":null,"abstract":"A disaster is an unforeseen calamity that causes damage to property or brings about a loss of human life. Quick response and rapid distribution of vital relief items into the affected region could save precious lives. In this regard, disaster management comes into play, which is highly dependent on the topography of the disaster-hit area. If the disaster-hit area has little or no road connectivity, the use of drones in such areas becomes essential for the delivery of health packages. Since the battery capacity of the drone is limited, there is a need of charging stations that should be transported using road infrastructure and pre-installed in disaster-prone areas, as access to these areas may be denied once the disaster hits. In this article, a simulation model was used to optimize the number and location of drone charging stations for deployment in a disaster-prone area in the pre-disaster scenario, aiming at the distribution of relief items to disaster-hit areas in the post-disaster scenario. We consider the relative priority of locations where a preference is given to the locations that have higher priority levels. An optimal number of charging stations and optimal routes have also been determined by using our optimization model. To illustrate the use of our model, numerical examples have been simulated for different sizes of the disaster-hit area and the number of targets. In our numerical simulation, it was observed that the drone's maximum distance capacity is the key factor in determining the optimal grid size, which directly correlates to the number of charging stations.","PeriodicalId":298526,"journal":{"name":"Vol 4 Issue 5","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132113411","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

Double Auction used Artificial Neural Network in Cloud Computing 双拍卖采用了云计算中的人工神经网络

Vol 4 Issue 5 Pub Date : 2022-06-30 DOI: 10.33411/ijist/2022040506

Muhammad Adeel Abbas, Zeshan Iqbal

{"title":"Double Auction used Artificial Neural Network in Cloud Computing","authors":"Muhammad Adeel Abbas, Zeshan Iqbal","doi":"10.33411/ijist/2022040506","DOIUrl":"https://doi.org/10.33411/ijist/2022040506","url":null,"abstract":"Double auction (DA) algorithm is widely used for trading systems in cloud computing. Distinct buyers request different attributes for virtual machines. On the other hand, different sellers offer several types of virtual machines according to their correspondence bids. In DA, getting multiple equilibrium prices from distinct cloud providers is a difficult task, and one of the major problems is bidding prices for virtual machines, so we cannot make decisions with inconsistent data. To solve this problem, we need to find the best machine learning algorithm that anticipates the bid cost for virtual machines. Analyzing the performance of DA algorithm with machine learning algorithms is to predict the bidding price for both buyers and sellers. Therefore, we have implemented several machine learning algorithms and observed their performance on the bases of accuracy, such as linear regression (83%), decision tree regressor (77%), random forest (82%), gradient boosting (81%), and support vector regressor (90%). In the end, we observed that the Artificial Neural Network (ANN) provided an astonishing result. ANN has provided 97% accuracy in predicting bidding prices in DA compared to all other learning algorithms. It reduced the wastage of resources (VMs attributes) and soared both users' profits (buyers & sellers). Different types of models were analyzed on the bases of individual parameters such as accuracy. In the end, we found that ANN is effective and valuable for bidding prices for both users.","PeriodicalId":298526,"journal":{"name":"Vol 4 Issue 5","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123032560","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

Review on Performance Analysis of Three Control Techniques for Buck Converter feeding a Resistive Load Buck变换器馈入电阻性负载的三种控制技术性能分析综述

Vol 4 Issue 5 Pub Date : 2022-06-30 DOI: 10.33411/ijist/2022040504

Ghulam Mustafa, Dr. Fiaz Ahmad

引用次数: 0

IMU Aided GPS Based Navigation of Ackermann Steered Rover 基于IMU辅助GPS的阿克曼操纵漫游车导航

Vol 4 Issue 5 Pub Date : 2022-06-28 DOI: 10.33411/ijist/2022040503

Muhammad Sufyan Arshad, Ijlal Hussain, A. R. Maud, Moazam Maqsood

{"title":"IMU Aided GPS Based Navigation of Ackermann Steered Rover","authors":"Muhammad Sufyan Arshad, Ijlal Hussain, A. R. Maud, Moazam Maqsood","doi":"10.33411/ijist/2022040503","DOIUrl":"https://doi.org/10.33411/ijist/2022040503","url":null,"abstract":"GPS signal loss is a major issue when the navigation system of rovers is based solely on GPS for outdoor navigation rendering the rover stuck in the mid of the road in case of signal loss. In this study, a low-cost IMU aided GPS-based navigation system for Ackermann Steered mobile robots is presented and tested to cater to the issue of GPS signal loss along. GPS path is selected and fed using the android application which provides real-time location tracking of the rover on the map embedded into the application. System utilizes Arduino along with the node MCU, compass, IMU, Rotary encoders, and an Ackermann steered rover. Controller processes the path file, compares its current position with the path coordinates and navigates using inertial sensor aided navigation algorithm, avoiding obstacles to reach its destination. IMU measures the distance traveled from each path point, and in case of signal loss, it makes the rover move for the remaining distance in the direction of destination point. Rover faced a sinusoidal motion due to the steering, so PID was implemented. The system was successfully tested on the IST premises and finds its application in the delivery trolley, institutional delivery carts, and related applications.","PeriodicalId":298526,"journal":{"name":"Vol 4 Issue 5","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130108034","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

Optimal Selection of Reactive Power For Single Tuned Passive Filter Based on Curve Fitting Technique 基于曲线拟合技术的单调谐无源滤波器无功功率优化选择

Vol 4 Issue 5 Pub Date : 2022-06-26 DOI: 10.33411/ijist/2022040502

Muhammad Shahzad Bajwa Bajwa, M. Keerio, R. Memon, N. H. Mugheri, Kamran Ali Samo

{"title":"Optimal Selection of Reactive Power For Single Tuned Passive Filter Based on Curve Fitting Technique","authors":"Muhammad Shahzad Bajwa Bajwa, M. Keerio, R. Memon, N. H. Mugheri, Kamran Ali Samo","doi":"10.33411/ijist/2022040502","DOIUrl":"https://doi.org/10.33411/ijist/2022040502","url":null,"abstract":"This research presents the Optimal Reactive Power (Qc) selection for a single-tuned passive filter. DC drives are very popular in the industrial zone due to their high performance, flexibility, easy control, and low cost. DC drives operate by giving supply from an AC utility and AC to DC can be converted using the AC-DC converter. But this conversion introduces harmonics in the input supply current that affect the performance of the DC drive and also cause serious problems for the overall power quality of the system. Many researchers are searching for the appropriate solutions to mitigate this cause. A passive filter is one solution to minimize or avoid harmonics from entering the electrical system. The key aspect of the passive filter design has been a difficult task. The parameters of the passive filter largely depends upon selecting the suitable value of reactive power (Qc). In this paper, the Simulink model of an AC-DC converter based on a separately excited dc motor is used as an industrial load, and a curve fitting technique has been used to select the optimal value of reactive power (Qc) for the passive filter. The simulation results and analysis show that optimal selection of reactive power for single tuned passive filter using the proposed technique is very effective by taking international standards limits for harmonic distortion.","PeriodicalId":298526,"journal":{"name":"Vol 4 Issue 5","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132161596","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: 1

Sales Prediction of Cardiac Products by Time Series and Deep Learning 基于时间序列和深度学习的心脏产品销售预测

Vol 4 Issue 5 Pub Date : 2022-06-26 DOI: 10.33411/ijist/2022040501

Muhammad Waqas Arshad, Syed Fahad Tahir

引用次数: 1