2019 International Conference on Digitization (ICD)最新文献

{"title":"Machine Learning's Role in the Workplace of the Future","authors":"R. Daya, M. Jeyasurya, Mohan Ram R Kumar, S. Priyadharshini, Rajeswari G V Vyshali","doi":"10.1109/ICD47981.2019.9105676","DOIUrl":"https://doi.org/10.1109/ICD47981.2019.9105676","url":null,"abstract":"This paper discusses in detail how the workplace has changed over time, suiting the needs and styles of various generations across the world since the Industrial Revolution. We also discuss what the workplace of the future would be like and how the self-management philosophy of Ricardo Semler may replace the practice of command-and-control, which didn't take into account employee satisfaction. Thus, the convergence of Semler's style, the expectations of today's work-force and Machine Learning that provides supportive and corrective functions can indeed define the organizational structure and culture required for success today and tomorrow.","PeriodicalId":277894,"journal":{"name":"2019 International Conference on Digitization (ICD)","volume":"128 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128148350","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":"Multi-approaches on scrubbing data for medium-sized enterprises","authors":"Tauqeer Faiz","doi":"10.1109/ICD47981.2019.9105739","DOIUrl":"https://doi.org/10.1109/ICD47981.2019.9105739","url":null,"abstract":"Tidy and fit for purpose data are the prerequisite for analyzing data and for guaranteeing good business decisions. Data Scrubbing or data cleaning is the process of identifying errors and inconsistencies in the data and fixing these errors before analyzing the data. Organization's decisions rely on Data Quality which makes data scrubbing a very important step towards their productivity. Untidy data includes; importing data from multiple sources, missing values or corrupt records, data types mismatch, special character removal or discarding duplicates. Current research is lacking the latest data scrubbing techniques practiced by the medium sized enterprises. This article highlights possible data errors, literature review, and data science project life cycle. The document explains how to clean data using Python libraries for exploratory data analysis such as Pandas, NumPy, Scikit- Learn and libraries for data visualization for example matplotlib, Seaborn, and Plotly.","PeriodicalId":277894,"journal":{"name":"2019 International Conference on Digitization (ICD)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116945297","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":"An Efficient System for Minimizing Total Weighted Tardiness Cost on single Machine","authors":"C. Lamiche, Djahel Bouchra","doi":"10.1109/ICD47981.2019.9105730","DOIUrl":"https://doi.org/10.1109/ICD47981.2019.9105730","url":null,"abstract":"In this research work, we develop a new effective procedure based on bio-inspired techniques in order to resolve the single machine total weighted tardiness problem (SMTWT). The presented algorithm is based on evolutionary algorithms such as genetic algorithm and a local search metaheuristic. The proposed system is evaluated on 125 instances of all the standard benchmark problem cases with 40, 50 and 100 coming from OR-Library. Obtained results showed the potent of the developed approach compared to some other recently literature works.","PeriodicalId":277894,"journal":{"name":"2019 International Conference on Digitization (ICD)","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114651273","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":"AI Based Robotic Systems for the quality control of Date Palm Fruits - A Review","authors":"Bittu Scaria, Nazarudeen A. Aziz, Mohammad Siddiqi","doi":"10.1109/ICD47981.2019.9105743","DOIUrl":"https://doi.org/10.1109/ICD47981.2019.9105743","url":null,"abstract":"The date palm fruit has gained significant importance in the global markets in recent years and during the last two decades the global production of dates has become more than doubled. These trends, however, have also made the task of post-harvesting process such as inspection, quality checking, and sorting of the date palm fruits are extremely challenging, as majority of the production units still employ humans to carry out these labor-intensive activities by visual inspection. In recent years, several processing techniques have been proposed by the researchers to address this issue. In this paper, we review these techniques and discuss the need for employing an autonomous robotic system based on the deep learning principle of artificial intelligence together with computer vision techniques. This paper is intended to help the researchers and application developers in gaining insights into the existing post-processing systems and designing even more efficient system of tomorrow.","PeriodicalId":277894,"journal":{"name":"2019 International Conference on Digitization (ICD)","volume":"107 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115175436","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":"A Synergy of Artificial Intelligence and Education in the 21st Century Classrooms","authors":"Kuheli Mondal","doi":"10.1109/ICD47981.2019.9105727","DOIUrl":"https://doi.org/10.1109/ICD47981.2019.9105727","url":null,"abstract":"Artificial Intelligence now became a part and parcel of everyone's life. It has started penetrating in almost every aspects of human life including education. In this conceptual paper the author tried to explore the emergence and use of artificial intelligence in the educational arena. The paper speaks about the advancements in recent technologies which predict the future of education system. The introduction to new technologies in the educational field has brought out many advancements in the learning styles and methodologies of teaching learning process in the classrooms. AI has enhanced the educational scenario of the present educational organization. The methods of teaching and learning has been revolutionised in the 21st Century with the use of Artificial Intelligence. AI acts as a future component in the present context of teaching learning process both for students and teachers. The proper application of AI in the educational system can improve educational quality all over the world by shifting the role of teacher to that of a facilitator. This theoretical paper will present a concise overview of the most recent researches where AI has been used in the context of education.","PeriodicalId":277894,"journal":{"name":"2019 International Conference on Digitization (ICD)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129475451","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":"Perceptive advertising using standardised facial features","authors":"Ritwika Gautam, Poorva Mahara","doi":"10.1109/ICD47981.2019.9105818","DOIUrl":"https://doi.org/10.1109/ICD47981.2019.9105818","url":null,"abstract":"Advertising has become the sole medium for businesses to propagate their products in the market, especially, using digital display hoardings and billboards. Today, the advertisement industry is more dynamic and widespread than ever before; thousands of products are launched every day, to cater to the changing needs and demands of its users the advertisement industry also needs to evolve. Heeding to the need for more effective advertising, this paper tries to establish the idea of perceptive advertising- a responsive advertising system based on facial recognition. This paper proposes a system that captures, identifies and analyses facial features of a person to estimate the gender (86% accuracy). The gender estimated will then be used to model another system which would display advertisements appropriate to that gender, as identified by the previous system strategy. The posited idea will make individuals the focal point of advertising, helping businesses reach the right audience with ease, eventually increasing their sales and profit. Consumers can avoid irrelevant ads and get quick access to the products and services they might need. In conclusion, the paper presents a new approach for advertising, focused on the market needs and on-the-rise smart cities with the use of Computer Vision.","PeriodicalId":277894,"journal":{"name":"2019 International Conference on Digitization (ICD)","volume":"104 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128191782","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":"Energy Harvesting Technique Utilizing Resource Allocation Algorithm in 5G Wireless Channel","authors":"Hesham Aldhanhani, K. Sandrasegaran, S. Lam","doi":"10.1109/ICD47981.2019.9105680","DOIUrl":"https://doi.org/10.1109/ICD47981.2019.9105680","url":null,"abstract":"The technology utilized in Energy harvesting from wireless channels of cellular communication is one of the critical aspects of future generation of cellular telecommunication, as it will be one of its alternatives for conserving power, by transmitting power to devices through the cellular networks. There have been numerous techniques that were proposed in 5G cellular technology for sustainability and enhancing the lifespan of centralized power sources in mobile and future IoT devices. Throughout this research paper, a literature review of the main current advancements of EH technology and SWIPT techniques will be presented as well as its achievements. An implementation of one of the Energy Harvesting techniques which is the SWIPT, in a cooperative relay scenario is presented in this paper and it is applied with a proper simulation tool. The simulation will mainly be implemented in MATLAB, which is divided into several functions computing the essential primary values for the proposed EH network. Firstly, the relay scenario that comprises a base station and two receivers with one receiver acting as a relay station while the other act as the final receiver for both transmissions. Secondly, the SWIPT technique is implemented in the Relay stations, where the AF protocol is utilized. Finally, the last receiver will receive both signals which represent the information decoding and the EH signals from the relay stations. The evaluation of the simulation results will be discussed in the final stages of the research. The outcome of this research will be the simulation results in which the estimation of the EH efficiency is evaluated based on two factors including; the number of EH subcarriers in the final receiver, and the average allocated power for EH transmission received by the final receiver. The idea behind this research paper was to search for an efficient method to harvest energy from the next nominated waveform of the 5th generation mobile communication OFDM. The anticipated outcome of this paper is beneficial in minimizing the cellular operation cost, extending the user equipment (UE) battery life, and creating an overall conserving green communication.","PeriodicalId":277894,"journal":{"name":"2019 International Conference on Digitization (ICD)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133526616","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":"Evaluation on the Functionality, Usability and Reliability of the Developed Application for Predicting Students' Performance in Cisco Certification Exam","authors":"Nenita Guerrero","doi":"10.1109/ICD47981.2019.9105661","DOIUrl":"https://doi.org/10.1109/ICD47981.2019.9105661","url":null,"abstract":"Predictive analytics is a technique that utilizes data mining and probability to forecast unknown future outcomes. Historical data can be used to extrapolate and predict future events. This study is focused on predicting students' performance in cisco certification exam. The data sets were analyzed using various classification algorithms. An application that could predict an exam taker's future outcome was developed using the predictive model discovered from the data sets. The application can be used to aid instructors and school administrators in identifying students that may require intervention at an early stage. The researcher adapted the KDD process and RAD model for software development. This study aims to determine the level of acceptability of the Cisco certification exam prediction system in terms of operational evaluation based on ISO/IEC 25010 metrics by end users such as functionality, usability, and reliability. The system was evaluated by cisco networking experts. The level of response for each criterion was based on Five-Point Likert Scale. Overall, the Cisco Certification Exam Prediction System was evaluated by experts as “Acceptable”.","PeriodicalId":277894,"journal":{"name":"2019 International Conference on Digitization (ICD)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125206064","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":"Machine Learning Approach to Predict Facebook Comment Volume","authors":"Alaa Elsakran, Abdullah Al Amin, A. Alzaatreh","doi":"10.1109/ICD47981.2019.9105863","DOIUrl":"https://doi.org/10.1109/ICD47981.2019.9105863","url":null,"abstract":"There is an enormous amount of data uploaded to Facebook every day. Therefore, there is an essential need to analyze this data for many purposes. In this paper, a deep analysis on Facebook comment volume prediction have been conducted to demonstrate the effect of the number of comments on marketing. The data used consists of 603,813 observations provided by Facebook. It includes fifty-three input attributes that have been used to predict the number of comments a post is going to have in the next H hours. Moreover, several Machine Learning techniques have been applied to analyze this considerable amount of data. For instance, Stepwise Linear Regression, Gradient Boosting, Neural Network, and Decision Tree models. Findings indicate that Neural Network model outperformed the other models used in previous studies with the smallest error; when Stepwise Linear Regression is used as a variable selection for it. However, Gradient Boosting outperformed other models with a Hits@10 score of 6.7. Additionally, one of the most crucial outcomes of this study is determining the most significant variables. Particularly, it was found that the publication day of the post, number of check-ins, shares or likes on the page, and the number of comments in the last 24 or 48 hours were the most important variables. These variables contribute to garner more comments, which results in more viewers and higher profit for the marketer. The study concludes with some limitations and suggestions for future research.","PeriodicalId":277894,"journal":{"name":"2019 International Conference on Digitization (ICD)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128591093","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":"Empowering MSMEs Through Digital Lending","authors":"S. Damodaran, S. Kavin, K. Keerthi, J. Madhumathi, P. Mythili.","doi":"10.1109/ICD47981.2019.9105772","DOIUrl":"https://doi.org/10.1109/ICD47981.2019.9105772","url":null,"abstract":"India is one of the fastest growing economies in the world. It is a major hub for investments in various sectors from several countries. The focus on digitization initiated by the Government of India has taken off over the past decade for both individual citizens and business firms. The initiatives for business is already transforming the way commerce is conducted and is expected to position the country among the top seven globally to go entirely digital. However, this cannot be done by ignoring the unorganized, small and medium scale enterprises. Several aspects and functions of business are now monitored and regulated digitally. The procurement of funds to run the business is no exception. There is significant scope for digital lending platforms to fund MSMEs (Micro, Small and Medium Enterprises) who are ill-equipped to deal with the procedures and lead time involved. These platforms often serve as ‘white knights’ to firms in distress. Digital lending platforms have gained in prominence recently as there is a funding crisis in India due to a sharp downturn in the banking and non-banking- financial services (NBFC) sectors. Access to funding, at viable cost and when needed has become a critical success factor for the MSME sector. Digital lending as an industry by itself or a segment of a broader industry owes its growth to the power of IT and acceptance of digital financial transactions by regulating authorities like central banks. IT has made evaluating creditworthiness smarter and quicker. The increased penetration of smartphones and websites has enhanced access to customer data (individual and corporate) and processing at speeds not experienced before. This gives digital lenders a competitive advantage of efficient evaluation of credit risk in lending to MSMEs and start-ups. The focus of this paper is the study of traditional lending practices for MSMEs and identifying the potential for digital lending to the MSME sector in India.","PeriodicalId":277894,"journal":{"name":"2019 International Conference on Digitization (ICD)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116756314","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}