Lahore Garrison University Research Journal of Computer Science and Information Technology最新文献_第7页

Configuration-Free Systems for WiFi Sensing based Smart Home using the Smart Remote Controller 使用智能遥控器的基于WiFi传感的智能家居免配置系统

Lahore Garrison University Research Journal of Computer Science and Information Technology Pub Date : 2021-02-09 DOI: 10.54692/lgurjcsit.2021.0501179

Binish Naz

{"title":"Configuration-Free Systems for WiFi Sensing based Smart Home using the Smart Remote Controller","authors":"Binish Naz","doi":"10.54692/lgurjcsit.2021.0501179","DOIUrl":"https://doi.org/10.54692/lgurjcsit.2021.0501179","url":null,"abstract":"The Smart Home invention offers us extreme supervision over our home by automating the lighting structure, the dimming, the screens, electric machines, the sound and safety frames. Main technologies that provide connectivity to smart home facilities, WiFi is one of them. In traditional households, where the household appliances will increase, the remote controls to manage them and the interference between them will also increase. This makes the system configuration dependent and troublesome for users to manage them that increases their burden. Recently, some systems were developed to manage multiple household appliances through one interface. However, the matter is once the dataset will increases the interface gets sophisticated and every home appliance or controller wants a special device to connect with it. In this paper, we introduced FreeGesture in the DeepRemote controller, which is a gesture recognition scheme without a device that uses preferred computer vision algorithms, particularly deep learning, to recognize numerous devices and manage them via IR or network. It simplifies deployment and makes systems without configuration. We are going to consider it as “Smart Remote” in this article. Smart Remote consists of four buttons, a camera, an Inertial Measurement Unit (IMU), a WiFi component, an Infrared (IR) transceiver, and a speaker. The popularity accuracy of smart Remote for 5 varieties of home appliances from completely different places is hyperbolic from 81.07% to 95.8%.","PeriodicalId":197260,"journal":{"name":"Lahore Garrison University Research Journal of Computer Science and Information Technology","volume":"340 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117292465","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

Cloud Computing: Needs Enabling Data Mining and Business Intelligent Applications 云计算:需要启用数据挖掘和商业智能应用

Lahore Garrison University Research Journal of Computer Science and Information Technology Pub Date : 2021-02-09 DOI: 10.54692/lgurjcsit.2021.0501170

Adeel Munawar

{"title":"Cloud Computing: Needs Enabling Data Mining and Business Intelligent Applications","authors":"Adeel Munawar","doi":"10.54692/lgurjcsit.2021.0501170","DOIUrl":"https://doi.org/10.54692/lgurjcsit.2021.0501170","url":null,"abstract":"As a new computational paradigm, cloud computing is attracting a lot of interest from researchers in the field of the business community and information technology sector and it can integrate with several heterogeneous resources makes it distinguished and unique to fulfill the demands of different types of users. The rapid increase in data volume and fixed access to online resources, which is related to all departments need to mine data for the discovery of knowledge. Its principal peculiarities incorporate a versatile asset design and along this line a suitable system for tending to be comprehended in an ideal mode. From the specific situations where cloud computing can be integrated, its use in business information and intelligence also conveys the highest aspirations from data mining to updates. This study gives an outline of the recent condition of the arrangement of Cloud Computing and elaborates, its implications in Business Intelligence and Data Mining. This study defines multiple layers that are expected to create such a framework in distinctive levels of deliberation, from the fundamental equipment stages to the product assets accessible to actualize the applications. At the end of this study, a few cases related to Data mining methodologies have been relocated to the Cloud Computing paradigm.","PeriodicalId":197260,"journal":{"name":"Lahore Garrison University Research Journal of Computer Science and Information Technology","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121286613","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

Usability Evaluation of Online Educational Applications in COVID-19 新冠肺炎疫情下在线教育应用的可用性评估

Lahore Garrison University Research Journal of Computer Science and Information Technology Pub Date : 2020-12-28 DOI: 10.54692/lgurjcsit.2020.0404117

Muhammad Saeed Ahmad, Muhammad Waseem Iqbal, Maham Abid, Nadia Tabassum, Syed Khuram Shahzad, Natash Ali Mian, Muhammad Raza Naqvi

{"title":"Usability Evaluation of Online Educational Applications in COVID-19","authors":"Muhammad Saeed Ahmad, Muhammad Waseem Iqbal, Maham Abid, Nadia Tabassum, Syed Khuram Shahzad, Natash Ali Mian, Muhammad Raza Naqvi","doi":"10.54692/lgurjcsit.2020.0404117","DOIUrl":"https://doi.org/10.54692/lgurjcsit.2020.0404117","url":null,"abstract":"COVID-19 is a pandemic faced by almost every country in the world, this has resulted in health crisis. Due to COVID-19, all the countries around the world have decided to close all educational institutes to prevent this pandemic. Educational institutes have taken every possible measure to minimize the impact of the closure of schools and introduce the concept of an online education system which is not only a massive shock for parents but it also affects the children's learning process and social life. The educational applications (Apps) are very important, because they offer more opportunities for development and growth to society. In this pandemic situation, educational Apps like Zoom, HEC LMS, Google Classroom, and Skype, etc. are the need of the hour when everything goes online. In this paper, the usability features of online educational Apps are thoroughly discussed including the effectiveness and usability for students. Using the results obtained from the survey, this paper observes the student's perspective of usefulness of online educational Apps in student’s learning process of different age groups. It also analyzes the easiness for students to understand, interact and use these Apps.","PeriodicalId":197260,"journal":{"name":"Lahore Garrison University Research Journal of Computer Science and Information Technology","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123589516","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: 7

Feature-Based Comparison of Language Transformation Tools 基于特征的语言转换工具比较

Lahore Garrison University Research Journal of Computer Science and Information Technology Pub Date : 2020-12-28 DOI: 10.54692/lgurjcsit.2020.0404107

Muhammad ilyas

引用次数: 0

A Concurrence Study on Interoperability Issues in IoT and Decision Making Based Model on Data and Services being used during Inter-Operability 物联网中互操作性问题的并发研究及互操作性中使用的基于数据和服务的决策模型

Lahore Garrison University Research Journal of Computer Science and Information Technology Pub Date : 2020-12-28 DOI: 10.54692/lgurjcsit.2020.0404116

Muhammad Raza Naqvi, Muhammad Waseem Iqbal, Syed Khuram Shahzad, Iqra Tariq, Marium Malik, Faseeha Ehsan, Natash Ali Mian, Nadia Tabassum

{"title":"A Concurrence Study on Interoperability Issues in IoT and Decision Making Based Model on Data and Services being used during Inter-Operability","authors":"Muhammad Raza Naqvi, Muhammad Waseem Iqbal, Syed Khuram Shahzad, Iqra Tariq, Marium Malik, Faseeha Ehsan, Natash Ali Mian, Nadia Tabassum","doi":"10.54692/lgurjcsit.2020.0404116","DOIUrl":"https://doi.org/10.54692/lgurjcsit.2020.0404116","url":null,"abstract":"The Internet-of-Things (IoT) has become an important topic among researchers owing to its potential to change the way we live and use smart devices. In recent years, many research work found in the world are interrelated and convey via the existing web structure which makes a worldwide system called IoT. This study focused on the significant improvement of answers for a wider scope of gadgets and the Internet of Things IoT stages in recent years. In any case, each arrangement gives its very own IoT framework, gadgets, APIs, and information configurations promoting interoperability issues. These issues are the outcome of numerous basic issues, difficulty to create IoT application uncovering cross-stage, and additionally cross-space, trouble in connecting non-interoperable IoT gadgets to various IoT stages, what's more, eventually averts the development of IoT innovation at an enormous scale. To authorize consistent data sharing between various IoT vendors, endeavors by a few academia, industrial, and institutional groups have accelerated to support IoT interoperability. This paper plays out a far-reaching study on the cutting-edge answers for encouraging interoperability between various IoT stages. Likewise, the key difficulties in this theme are introduced.","PeriodicalId":197260,"journal":{"name":"Lahore Garrison University Research Journal of Computer Science and Information Technology","volume":"11 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120989496","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

Diagnostic Framework for Electricity Losses in Pakistan Using Data Visualization Techniques 使用数据可视化技术的巴基斯坦电力损失诊断框架

Lahore Garrison University Research Journal of Computer Science and Information Technology Pub Date : 2020-12-28 DOI: 10.54692/lgurjcsit.2020.0404106

Fatima Tariq, Dr Atif Alvi

{"title":"Diagnostic Framework for Electricity Losses in Pakistan Using Data Visualization Techniques","authors":"Fatima Tariq, Dr Atif Alvi","doi":"10.54692/lgurjcsit.2020.0404106","DOIUrl":"https://doi.org/10.54692/lgurjcsit.2020.0404106","url":null,"abstract":"To obtain the best results and leads to accuracy, data visualization techniques allows the big data and unprocessed data in a structured format. There are a lot of techniques that provides the best results for both high and low dimensional data preprocessing. Electricity crisis are becoming the part of day to day life and increasing rapidly. There are a lot of factors that affects the distribution and transmission losses of electricity. PEPCO, GENCO and other distribution companies are responsible for electricity distribution .There are 10-12% electricity losses during the distribution from main to other. At different sectors electricity production and installation from different resources of energy needs a proper monitoring system .Except of system losses a lot of electricity lost due to non-technical factors which leads to the shortage of electricity in a Country. .Grid stations should be planted according to the population of the province .Diagnostic framework includes the previous and present data comparison which predicts and forecasts the future consumption that helps to overcome losses by time series analysis algorithm (ARIMA)","PeriodicalId":197260,"journal":{"name":"Lahore Garrison University Research Journal of Computer Science and Information Technology","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127351251","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

Software Quality Assurance and Android Application Development: A Comparison among Traditional and Agile Methodology 软件质量保证与Android应用开发:传统方法与敏捷方法的比较

Lahore Garrison University Research Journal of Computer Science and Information Technology Pub Date : 2020-12-28 DOI: 10.54692/lgurjcsit.2020.0404105

Mohsin Nazir

引用次数: 0

Generalized Multi-manifold Graph Ensemble Embedding for Multi-View Dimensionality Reduction 面向多视图降维的广义多流形图集成嵌入

Lahore Garrison University Research Journal of Computer Science and Information Technology Pub Date : 2020-12-28 DOI: 10.54692/lgurjcsit.2020.0404109

Sumet mehta

引用次数: 1

Flow-Based Rules Generation for Intrusion Detection System using Machine Learning Approach 基于机器学习的入侵检测系统流规则生成

Lahore Garrison University Research Journal of Computer Science and Information Technology Pub Date : 2020-09-30 DOI: 10.54692/lgurjcsit.2020.0403100

Yasir Saleem, Usama Anwar, Muhammad Khawar Bashir, Sheraz Naseer, Nadia Tabassum

{"title":"Flow-Based Rules Generation for Intrusion Detection System using Machine Learning Approach","authors":"Yasir Saleem, Usama Anwar, Muhammad Khawar Bashir, Sheraz Naseer, Nadia Tabassum","doi":"10.54692/lgurjcsit.2020.0403100","DOIUrl":"https://doi.org/10.54692/lgurjcsit.2020.0403100","url":null,"abstract":"Rapid increase in internet users also brought new ways of privacy and security exploitation. Intrusion is one of such attacks in which an authorized user can access system resources and is major concern for cyber security community. Although AV and firewall companies work hard to cope with this kind of attacks and generate signatures for such exploits but still, they are lagging behind badly in this race. This research proposes an approach to ease the task of rules generationby making use of machine learning for this purpose. We used 17 network features to train a random forest classifier and this trained classifier is then translated into rules which can easily be integrated with most commonly used firewalls like snort and suricata etc. This work targets five kind of attacks: brute force, denial of service, HTTP DoS, infiltrate from inside and SSH brute force. Separate rules are generated for each kind of attack. As not every generated rule contributes toward detection that's why an evaluation mechanism is also used which selects the best rule on the basis of precision and f-measure values. Generated rules for some attacks have 100% precision with detection rate of more than 99% which represents effectiveness of this approach on traditional firewalls. As our proposed system translates trained classifier model into set of rules for firewalls so it is not only effective for rules generation but also give machine learning characteristics to traditional firewall to some extent. ","PeriodicalId":197260,"journal":{"name":"Lahore Garrison University Research Journal of Computer Science and Information Technology","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124274300","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

Domain-Independent Natural Language Processing of text using Unsupervised Translation 基于无监督翻译的文本领域独立自然语言处理

Lahore Garrison University Research Journal of Computer Science and Information Technology Pub Date : 2020-09-30 DOI: 10.54692/lgurjcsit.2020.0403102

Adeel Munawar

{"title":"Domain-Independent Natural Language Processing of text using Unsupervised Translation","authors":"Adeel Munawar","doi":"10.54692/lgurjcsit.2020.0403102","DOIUrl":"https://doi.org/10.54692/lgurjcsit.2020.0403102","url":null,"abstract":"NLP is one of the very important domains of artificial intelligence. Nowadays, advancements are being made and NLP is one of the most developing fields. In this paper, we offer a mutual use of unsupervised translation with n-grams and Natural Language Processing techniques to challenge the difficulty of unsupervised translation extraction from textual data. To build a Text Meaning Extraction System, we have to deliver one important element which is input text. This studypresented a different algorithm to work out resemblances between natural languages, by using sequence package analysis and changing them into n-grams. Whenever the sentences that are grammatically difficult and quite lengthy are applied to see the results of the presented algorithm, there are quite efficient results in a semantic reaction. To enhance the experience in the field of AI and search engines, this research paper shows how to improve the handling capability of fuzzy concepts within computers. For example, when search jobs are executed in search engines small textual concepts or sentences might be semantically formed to switch the keyword-based queries. This ability may be functional to intelligent agents to even the procedure of communication between humans and machinery.","PeriodicalId":197260,"journal":{"name":"Lahore Garrison University Research Journal of Computer Science and Information Technology","volume":"5 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115537793","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