KIET Journal of Computing and Information Sciences <p><strong>KIET Journal of Computing and Information Sciences (KJCIS) ISSN(P) </strong>2616-9592 <strong>ISSN(E)</strong> 2710-5075 is the bi-annual, multi-disciplinary, <strong>HEC recognized 'Y' Category</strong> research journal published by the <strong>College of Computing &amp; Information Sciences (CoCIS)</strong> at <strong>Karachi Institute of Economics and Technology (KIET)</strong>, Karachi, Pakistan. KJCIS aims to provide a panoramic view of the state of the art development in the field of computing and information sciences at a global level.</p> <p>It provides a premier interdisciplinary platform to researchers, scientists and practitioners from the field of computing and information sciences to share their findings and contribute to the knowledge domain at a global level. The journal also fills the gap between academician and industrial research communities.</p> en-US (Editorial Board) (Syed Hassan Ali) Tue, 29 Jun 2021 00:00:00 +0100 OJS 60 Perceived Usefulness of Big-Data for Store Layout: Evidence for Organized Retailers of Karachi <p>Big-Data is one of the most useful technologies available nowadays to understand behaviors<br />and patterns. However, in addition to its societal benefits technology might also be used by<br />practitioners in industrial settings. The Retail industry is also treated as the one which might receive major benefits from the use of Big-Data and therefore this study is purposively associated with implications of Big-Data for the retail sector. The Study uses store layout as the dependent variable as it has the most influence on purchase as the real purpose of Big-Data is to analyze behavior and patterns, therefore, the selection of variable is legitimate. However, the technology is not well-known in emerging markets like Pakistan therefore study is linked with quota sampling and uses SMART-PLS to analyze results. Results indicated that Big-Data was perceived as the potent tool for operations of the organized retail sector of Karachi.</p> Mehwish Jabeen, Muhammad Faisal Sultan, Muhammad Adeel Mannan Copyright (c) 2021 KIET Journal of Computing and Information Sciences Thu, 01 Jul 2021 00:00:00 +0100 Design and implementation of monitoring system for paralysis patient using IoT <p>Internet of things represents a catch line of smart applications. At the same time it plays a leading role in the health care systems, as it provides the connectivity of the distant patients, who are not able to express their concerns.&nbsp; In this modern era there are a lot of technologies that are being used in different healthcare fields for paralyzed people. This paper proposed a model for paralyzed patient by considering Arduino with the integration of gyro sensors for the patient hand and finger movement. Patient can easily be connected with this device by sending his message to caretaker only by moving their hands into respective directions, or they can send their message by moving their fingers and feet. Through this device paralyzed patient will be able to convey their messages to caretakers, so they can assist the patient. This system will enhance the medical care to those patients who are even not able to convey their message.&nbsp;</p> Hira Beenish, Fakeha Nasar, Ehsan Sheikh, Muhammad Fahad Copyright (c) 2021 KIET Journal of Computing and Information Sciences Thu, 01 Jul 2021 00:00:00 +0100 Poet Attribution for Urdu: Finding Optimal Configuration for Short Text <div class="page" title="Page 1"> <div class="section"> <div class="layoutArea"> <div class="column"> <p>This study presents a machine learning system to identify the poet of a given poetic piece consisting of 2 lines (i.e. a couplet) or more. The task is more difficult than the general task of author attribution, as the number of words in verses and poems are usually less than the number of articles present in author attribution datasets. We applied classification algorithms with different sets of feature configurations to run several experiments and found that the system performs best when support vector machine using a combination of unigram and bigram are used . The best system (for 5 Urdu poets) has the accuracy of 88.7%.</p> </div> </div> </div> </div> Adil Rao, Tafseer Ahmed Copyright (c) 2021 KIET Journal of Computing and Information Sciences Thu, 01 Jul 2021 00:00:00 +0100 PSL Eye: Predicting the Winning Team in Pakistan Super League (PSL) Matches <p>Pakistan Super League (PSL) is a well-known T20 cricket league with millions of viewers. With this large viewer base, predicting the outcome of PSL matches opens a new research avenue for academic researchers. &nbsp;In this paper, we collect PSL data from relevant sources and generate a validated data set for machine learning experiments. We implement the “PSL Eye” solution which employs Neural Networks (NNs) to predict the match winning team. We preprocess the dataset to eliminate the extra variables then we tune the hyper parameters of NN. After acquiring the optimal values of hyper parameters, we run our NN based PSL Eye to obtain the final results. The overall accuracy of PSL-Eye with testing data set is 82% which is very promising and shows the importance of NN in predicting PSL match outcome.</p> Tariq Mahmood, Muhammad Riaz, Muhammad Nasir, Uzma afzal, Sohaib Tariq, Muhammad Hamza Siddiqui Copyright (c) 2021 KIET Journal of Computing and Information Sciences Thu, 01 Jul 2021 00:00:00 +0100 An An Autonomous Follow Me Platform for Carrying and Moving Objects <p>The technology of An Autonomous "follow me" platform for carrying and moving objects has gone through rapid technological advancements. Numerous follow me robots are accessible with various running advancements, yet the expense is high. These robots are not user-friendly and therefore not much successful. In this research, a fully automated, economical, fast, efficient and smart “Follow Me” robot is designed. This robot has the ability to carry luggage or move objects from one place to another place. It will help pregnant women and elder people to carry their things. An autonomous follow me robot has two working modes, the first one is the default mode and the second one is Bluetooth mode or remote mode. In default mode, the user will walk in the front of the ultrasonic sensor and it will follow the user until it goes beyond the range. In Bluetooth mode, the customer needs to interact with the robot with the help of a mobile application. The customer by then has the Graphical User Interface (GUI) to control the robot. This framework enables the client to vigorously communicate with the robot at various dimensions of the control (left, right, forward, backward, and stop). The application interface is built as simple as it can be used by a wide range of patients.</p> Muhammad Saad Amin, Syed Tahir Hussain Rizvi, Sameer Malik, Muhammad Awais Yousaf, Sadaf Mehmood Copyright (c) 2021 KIET Journal of Computing and Information Sciences Thu, 01 Jul 2021 00:00:00 +0100 Crypto Currency Cognizance: A New Entrant in Financial Heaven <p>Cryptocurrency used an online ledger with highly strong cryptography to secure online transactions. There are multiple cryptocurrencies traded publically that imparts an important role on the behavioral intention of users. The disruption in the economy of the world has provided some opportunities for the development of virtual money or cryptocurrencies so that financial crises of individuals can be removed. The study adapted Theory of Acceptance Model (TAM) that explains the factor that effect behavioral intention of the users of cryptocurrency. The data was collected through survey questionnaire from 177 participants to measure the impact of cryptocurrency on the behavioral intention of users. The findings of this study revealed that multiple factors such as social influence, facilitating conditions, financial literacy, and perceived risk of cryptocurrency imparts an important role on the behavioral intention of individuals to use cryptocurrencies. Moreover the findings will propose numerous methods to function with a greater chance of success in the block chain-related services and cryptocurrencies markets.</p> Sarwat Liaqut, Ammar Siddiqui Copyright (c) 2021 KIET Journal of Computing and Information Sciences Thu, 01 Jul 2021 00:00:00 +0100