Computer Science Educator: Courses最新文献

{"title":"Power Consumption Analysis and Prediction of a Smart Home Using ARIMA Model","authors":"Gopikrishna P B, Jiju A. Mathew","doi":"10.2139/ssrn.3819512","DOIUrl":"https://doi.org/10.2139/ssrn.3819512","url":null,"abstract":"Smart home is an important application of Internet of Things (IoT) that utilizes the Internet to monitor and control appliances in a home automation system by providing security, energy efficiency, low operating costs, convenience etc. The installation of smart products allows the user to monitor and control energy usage in new ways which leads to reduce energy wastage of the system. It is possible to analyze the usage of electricity in a smart home and creating an efficient power consumption analysis system using the data retrieved. Proposed system analyses the real-time electrical energy consumption of a smart home and will forecast the future power consumption using ARIMA model which gives better results for the time-series data analysis. This system aims is to predict the future electricity consumption for some services in smart homes in an efficient way.","PeriodicalId":332552,"journal":{"name":"Computer Science Educator: Courses","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122578703","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 Tutorial on Markov Chain Monte-Carlo and Bayesian Modeling","authors":"M. Haugh","doi":"10.2139/ssrn.3759243","DOIUrl":"https://doi.org/10.2139/ssrn.3759243","url":null,"abstract":"This tutorial provides an introduction to Bayesian modeling and Markov Chain Monte-Carlo (MCMC) algorithms including the Metropolis-Hastings and Gibbs Sampling algorithms. We discuss some of the challenges associated with running MCMC including the important question of determining when convergence to stationarity has been achieved. Several applications of Bayesian modeling are also provided including the MRP approach to modeling election outcomes, topic modeling in machine learning, and large-scale optimization and code breaking. We also discuss the important problems of Bayesian model checking and selection and provide an introduction to empirical Bayesian models. \u0000 \u0000In the appendices we briefly discuss several topics including: (i) Hamiltonian Monte-Carlo (an MCMC algorithm that forms the basis for the statistical modeling language STAN) (ii) the EM algorithm and (iii) other problems in Bayesian statistics including Bayesian approaches to constructing confidence intervals, hypothesis testing and decision theory.","PeriodicalId":332552,"journal":{"name":"Computer Science Educator: Courses","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123327275","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":"Automated Stock Trading Using Machine Learning","authors":"Anup Munde, Ashwini Jadhav, Harshal Kaute, Ajay Gosavi","doi":"10.2139/ssrn.3772584","DOIUrl":"https://doi.org/10.2139/ssrn.3772584","url":null,"abstract":"Predicting stock market movements is a well-known problem of interest. Now-a- days social media is perfectly representing the public sentiment and opinion about current events. Especially, Twitter has attracted a lot of attention from researchers for studying the public sentiments. Stock market prediction on the basis of public sentiments expressed on Twitter has been an intriguing field of research. The approach through sentimental analysis is to observe how well the changes in stock prices i.e. the rise and fall are correlated to the opinion of people that are expressed by them on Twitter. Sentimental analysis helps in analyzing the public sentiments on Twitter, this approach is our approach through using make of sentimental analysis. Another approach in the same topic of our project is using technical analysis. We model the stock price movement as a function of these input features and solve it as a regression problem in a multiple kernel learning regression framework. The machine learning coupled with fundamental and/ or technical analysis also yields satisfactory results for stock market prediction. We also evaluated the model for taking buy-sell decision at the end of day which is also known as intraday trading.","PeriodicalId":332552,"journal":{"name":"Computer Science Educator: Courses","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123908230","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":"Financial Management System of Colegio De Castillejos: An Evaluation","authors":"Dr. Froilan Mobo","doi":"10.2139/ssrn.3702734","DOIUrl":"https://doi.org/10.2139/ssrn.3702734","url":null,"abstract":"One of the most significant and valuable elements to consider in an organization is to make sure which the financial assets of the business enterprise are well managed, specifically in terms of the industry capital.<br><br>Accordingly, management of working capital is critically essential to the success of every company. In service industry, the working capital is vitally dependent to the sales of the product. It is said that which sales is different during the year because of growth, seasonality or uncertainty, then managing the working capital would be difficult. Furthermore, a firm’s current liability such as inventory, receivables and short-term payables as well as the business enterprise’s current assets varies in accordance to the fluctuations of sales. In this regard, the cash flow within the industry may be insufficient to sustain organization operations, even if the profitability of the industry is satisfactory over the entire year. Hence, there is a need for an effective Financial Management System. The development Financial Management Systems is to support the Ethiopian reform as an example of a successful low risk strategy of automation in a difficult environment, (Peterson, 2006). The writer will use the descriptive method of research utilizing the questionnaire as the main instrument in gathering data. This research was conducted in order to determine the Evaluation of the Financial Management System of COLEGIO de CASTILLEJOS. In order to answer these research goals, the researcher opted to obtain the Evaluation of the Financial Management System of COLEGIO de CASTILLEJOS. Specifically, a total of 50 respondents from COLEGIO de CASTILLEJOS and Municipality of Castillejos, Zambales were randomly selected to make up the sample. This method is used to describe the nature of a situation, as it exists at the time of the study and to explore the causes of particular a phenomenon. Providing Automated Daily Time Record for (log-in/log-out) with biometrics technology is one of the solutions for attendance monitoring. Aside from this the said system should also capable of automated calculation of their payroll. A will documented payroll system will lead the organization to maximize its analysis needs to improve the overall process of cash flow monitoring. Automation of accounting processes using deploying accounting system software is also recommended but manual audit should be made for accuracy purposes.","PeriodicalId":332552,"journal":{"name":"Computer Science Educator: Courses","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114425335","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":"Lambda Architecture – Realtime Data Processing","authors":"Yogendera Kumar","doi":"10.2139/ssrn.3513624","DOIUrl":"https://doi.org/10.2139/ssrn.3513624","url":null,"abstract":"Data has evolved immensely in recent years, in type, volume and velocity. There are several frameworks to handle the big data applications. The project focuses on the Lambda Architecture proposed by Marz and its application to obtain real-time data processing. The architecture is a solution that unites the benefits of the batch and stream processing techniques. Data can be historically processed with high precision and involved algorithms without loss of short-term information, alerts and insights. Lambda Architecture has an ability to serve a wide range of use cases and workloads that withstands hardware and human mistakes. The layered architecture enhances loose coupling and flexibility in the system. This a huge benefit that allows understanding the trade-offs and application of various tools and technologies across the layers. There has been an advancement in the approach of building the LA due to improvements in the underlying tools. The project demonstrates a simplified architecture for the LA that is maintainable.","PeriodicalId":332552,"journal":{"name":"Computer Science Educator: Courses","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121708005","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":"Developing the E-Commerce Model a Consumer to Consumer Using Blockchain Network Technique","authors":"Samer Shorman, Mohammad Allaymounq, O. Hamid","doi":"10.2139/ssrn.3407739","DOIUrl":"https://doi.org/10.2139/ssrn.3407739","url":null,"abstract":"E-commerce has increased recently because of the development of the internet and has become a new concept that is applicable to trade transaction and services providing, using information technology. This is known as e-commerce thatis a means of communicating information،products or services through technical tools. This research proposed model is able to take advantage of Blockchain technology to develop e-commerce especially consumer toconsumer. The proposed model adds some advantages to ecommerce operations, and the possibility of developing them to reach a high percentage of profits by using blockchain technology which led to verify the information of products offered for sale. In addition, to the possibility of distributing feedback to all Blockchain users, through which it develops the mechanism of trust and cooperation between consumers, it is considered a reference point to explore the behaviour of commercial consumers which is stored in the data file of consumers. This model facilitates business processes between consumer andconsumer, eliminates the central role of large business companies in controlling and setting restrictions, and to the development and expansion of this type of trade.","PeriodicalId":332552,"journal":{"name":"Computer Science Educator: Courses","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123348019","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":"Comparison and Analysis of Algorithms Used for Detecting Slums in Satellite Images","authors":"Pallavi Saindane, Gayatri Ganapathy, Neha Prabhavalkar, N. Bhatia, Aishwarya Vaidya","doi":"10.2139/ssrn.3346363","DOIUrl":"https://doi.org/10.2139/ssrn.3346363","url":null,"abstract":"This paper aims to redefine one of the applications of satellite images, slum identification. Slums also formally termed as informal settlements which can be identified from the satellite images using various image segmentation as well as object detection techniques. Policy makers spend substantial time and resources to discover certain regions. This paper presents a brief study of an algorithm that could be helpful for classifying residential areas as developed and underdeveloped using satellite images as input. This can further help to improve the approach required to identify the slums from satellite images. Such a process would be easily scalable and reduce time and resources. This will help developing and under-developed countries in investing appropriate resources and lead to economic progress.","PeriodicalId":332552,"journal":{"name":"Computer Science Educator: Courses","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121834905","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":"Market Behavior Analysis using Descriptive Approach","authors":"Beschi Raja, J. Pamina, P. Madhavan, A. Sampath Kumar","doi":"10.2139/ssrn.3330017","DOIUrl":"https://doi.org/10.2139/ssrn.3330017","url":null,"abstract":"In the field of marketing, substantial voluminous of data has been produced every day, but most of them are being unused. In the current market scenario, most of the supermarkets and retail showrooms are unaware of their stock status, sales percentage on a particular period, frequently and infrequently selling products. This paper proposes a big data platform (BDP) to overcome the problem as mentioned above. These inferences can be revealed from the data that are being incorporated in the marketing industry, and the analyzed data will give us a clear view about the frequent items in an average selling frequency of product, and least selling product. A visualization technique has been deployed to understand the statistics. Therefore, this system overcomes the drawbacks of a marketing system and also can be used widely in a variety of industries.","PeriodicalId":332552,"journal":{"name":"Computer Science Educator: Courses","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127837849","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":"Effect of Existence Trust, Usefulness, Security, Usability, and Benefits of Interests Use of E-Money in Public","authors":"Rahayu Nur Amini, Jeniar Ramadhanty, Osly Usman","doi":"10.2139/ssrn.3310234","DOIUrl":"https://doi.org/10.2139/ssrn.3310234","url":null,"abstract":"This study was conducted to investigate the effect of 1. Confidence in the use of e-money interests in society, 2. Ease to use e-money interests in society, 3. Security to use e-money interests in society, 4. Purpose of the interest in using e -money in society, 5. benefits to using e-money interests in society, 6. confidence, simplicity, security, usability, and benefits associated with using e-money interests in society. The objective of this study is to acquire knowledge and test theories about trust, convenience, security, usability, and usefulness of the interest. This research was conducted in Indonesia precisely in Jakarta, Bogor, Depok, Tangerang, and Bekasi with total sample. Data processing is performed using SEM techniques and applications smartPLS 3.0. This research resulted that influence their beliefs greatest influence on interest in using e-money. While the influence of the benefit of providing the least impact to the interest in using e-money. Because of the variable benefits showed a negative influence for the interest in using e-money. Therefore, it can be said that a person who has a sense of confidence in e-money certainly has an interest in using e-money. Meanwhile, people who feel the benefits of e-money does not necessarily have an interest in using e-money. While the influence of the benefit of providing the least impact to the interest in using e-money. Because of the variable benefits showed a negative influence for the interest in using e-money. Therefore, it can be said that a person who has a sense of confidence in e-money certainly has an interest in using e-money. Meanwhile, people who feel the benefits of e-money does not necessarily have an interest in using e-money. While the influence of the benefit of providing the least impact to the interest in using e-money. Because of the variable benefits showed a negative influence for the interest in using e-money. Therefore, it can be said that a person who has a sense of confidence in e-money certainly has an interest in using e-money. Meanwhile, people who feel the benefits of e-money does not necessarily have an interest in using e-money.","PeriodicalId":332552,"journal":{"name":"Computer Science Educator: Courses","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129973951","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":"On Approach of Estimation Time Scales of Relaxation of Concentration of Charge Carriers in High-Doped Semiconductor","authors":"E. Pankratov, E. Bulaeva","doi":"10.2139/ssrn.3396397","DOIUrl":"https://doi.org/10.2139/ssrn.3396397","url":null,"abstract":"In this paper we generalized recently introduced approach for estimation of time scales of mass transport. The approach have been illustrated by estimation of time scales of relaxation of concentrations of charge carriers in high-doped semiconductor. Diffusion coefficients and mobility of charge carriers and electric field strength in semiconductor could be arbitrary functions of coordinate.","PeriodicalId":332552,"journal":{"name":"Computer Science Educator: Courses","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122119510","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}