2019 International Conference on Digitization (ICD)最新文献_第2页

Modeling of Pulsed Electric Field for Liquid Food Processing using Simulation Methods 基于仿真方法的液体食品加工脉冲电场建模

2019 International Conference on Digitization (ICD) Pub Date : 2019-11-01 DOI: 10.1109/ICD47981.2019.9105779

Y. Shaker

引用次数: 0

Performance Evaluation and Analysis of Encryption Schemes for Wireless Sensor Networks 无线传感器网络加密方案的性能评价与分析

2019 International Conference on Digitization (ICD) Pub Date : 2019-11-01 DOI: 10.1109/ICD47981.2019.9105883

Amar Abdelmalek Ghehioueche, N. Chikouche, F. Mezrag

引用次数: 2

Enhanced Reinforcement Learning with Targeted Dropout 增强强化学习与目标辍学

2019 International Conference on Digitization (ICD) Pub Date : 2019-11-01 DOI: 10.1109/ICD47981.2019.9105750

Mark Jovic A. Daday, Kristoffer Franz Mari R. Millado

{"title":"Enhanced Reinforcement Learning with Targeted Dropout","authors":"Mark Jovic A. Daday, Kristoffer Franz Mari R. Millado","doi":"10.1109/ICD47981.2019.9105750","DOIUrl":"https://doi.org/10.1109/ICD47981.2019.9105750","url":null,"abstract":"In modern ages, the study on Reinforcement Learning (RL) has driven on Deep Q-Network (DQN) optimization learning prediction and control of Markov decision processes (MDPs). In this paper, the researcher used the Targeted Dropout strategy for RLs DQN that makes straight into learning and would be necessary to deal with MDPs with huge or continuous state and action spaces. Every weight/unit update, the targeted dropout selects a set of elements and to keep only the weights/units of maximum amount, and then apply dropout to the set. It has also a common pruning strategy so focus on fast approximations, such as removing weights with the smallest value or ranking the weights/units by the sensitivity of the network design and even rating by the sensitivity of the task execution with respect to the weights/units and removing the least-sensitive ones. The result shows that the proposed algorithm for enhancing the RL's DQN is more accurate in finding the best action to learn to achieve maximum reward. The simulation presents that in a minimal run of episodes it can achieve the maximum average reward, while without Targeted Dropout it takes more runs to achieve the average reward, and throughout the assessment of the algorithm, the suggested algorithm acquires more learning in finding the large reward value.","PeriodicalId":277894,"journal":{"name":"2019 International Conference on Digitization (ICD)","volume":"63 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":"129515320","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

Smart and Safe cars using Multi-Sensor solution 使用多传感器解决方案的智能安全汽车

2019 International Conference on Digitization (ICD) Pub Date : 2019-11-01 DOI: 10.1109/ICD47981.2019.9105882

Ali Mohammad Jowkar, R. Dudhe, A. A. Dsouza

{"title":"Smart and Safe cars using Multi-Sensor solution","authors":"Ali Mohammad Jowkar, R. Dudhe, A. A. Dsouza","doi":"10.1109/ICD47981.2019.9105882","DOIUrl":"https://doi.org/10.1109/ICD47981.2019.9105882","url":null,"abstract":"As statistics says 95% of road accidents are caused by human error. There are numerous cases where the driver dies due to a heart attack while driving and these cases have been increased every year due to people not acknowledging these facts and statistics. To protect the driver a project is introduced which consist of two modules, First being a health monitoring system consisting of a heart attack detection unit with an integrated GSM module for automatic emergency messaging and a drowsiness detection unit for ensuring that a driver is not driving while tired. Heart rate monitoring system is to look on the driver's heart rate and if in any unfortunate circumstances where the driver suffers a heart attack or where there is different variation in the driver's heart rate the vehicle will send an SMS through GSM to the nearest emergency unit to send an ambulance for the driver. Drowsiness Detection is to ensure the driver is not drowsy while driving, this is done by detecting if the driver is drowsy and then alert the driver using an alarm. This project aims to design a portable safety kit for the vehicles to protect and save the lives of drivers while driving and let them experience a smooth driving experience without any unfortunate incidents.","PeriodicalId":277894,"journal":{"name":"2019 International Conference on Digitization (ICD)","volume":"112 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":"127039570","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

Absolute answerability in the Era of Artificial Intelligence and Machine Learning: A talent management perspective

2019 International Conference on Digitization (ICD) Pub Date : 2019-11-01 DOI: 10.1109/ICD47981.2019.9105675

P. Dsouza

{"title":"Absolute answerability in the Era of Artificial Intelligence and Machine Learning: A talent management perspective","authors":"P. Dsouza","doi":"10.1109/ICD47981.2019.9105675","DOIUrl":"https://doi.org/10.1109/ICD47981.2019.9105675","url":null,"abstract":"Robots, chat bots and many new forms of Artificial intelligence are having an impact on the way organizations function in the modern era. It all started with industrial revolution wave and automation. Slowly the impact of computers and other gadgets was severely felt. However, the impact that artificial intelligence has brought in, seems to be incomparable and indeterminate too. Human beings have been the providers of service at every point in the block chain. However, the replacement of humans by machines is not new. The issuing of pink slips and downsizing the organization is also a trend witnessed in due to many reasons, including digitalization. This research paper is an attempt to understand the role of people in organization amidst the confusion of who holds the absolute answerability. On the plain note, humans are answerable to any reservations that arise in organizations. But in this era where machines are becoming intellect, are we still playing the blame game on humans towards answerability? HR analytics have come up in a big way and analytical thinking as well as predictions are the prime armaments in the hands of an accomplished HR. When the scenario is changing in this direction, the workforce itself is changing and becoming dynamic. Decision making is facilitated by algorithms and the human interface is on a decline. In this scenario, the absolute answerability which was with the human force, till late is now in a quandary. The objective of the paper is to access the role of AI in the era of deep learning and the impact it has on the HR trends. The talent (workforce) component has to be not only managed but has to be molded in such a way that they exceed their performance when compared to machines. The creativity part has to be creatively enhanced. In doing so, the question is, will AI take a back seat or will it lead to a complete conquer of human resources in organizations. The answer is explored.","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":"133871594","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: 5

Factors Affecting Customer Satisfaction with Ecommerce Websites - An Omani Perspective 影响电子商务网站客户满意度的因素——阿曼视角

2019 International Conference on Digitization (ICD) Pub Date : 2019-11-01 DOI: 10.1109/ICD47981.2019.9105780

Shouvik Sanyala, Mohammed Wamique Hisamb

{"title":"Factors Affecting Customer Satisfaction with Ecommerce Websites - An Omani Perspective","authors":"Shouvik Sanyala, Mohammed Wamique Hisamb","doi":"10.1109/ICD47981.2019.9105780","DOIUrl":"https://doi.org/10.1109/ICD47981.2019.9105780","url":null,"abstract":"Ecommerce, also known as electronic commerce or internet commerce, refers to the buying and selling of goods or services using the internet, and the transfer of money and data to execute these transactions. Ecommerce is often used to refer to the sale of physical products online, but it can also describe any kind of commercial transaction that is facilitated through the internet. These business transactions occur either as business-to-business (B2B), business-to-consumer (B2C), consumer-to-consumer or consumer-to-business. Ecommerce provides several benefits to sellers over traditional retailing. Some key benefits include: overcoming geographical limitations, lower costs, 24×7 availability of products, gaining new customers through better search engine visibility, create targeted information, enable comparisons while shopping and eliminating travel time and costs for customers. Ecommerce is becoming increasingly popular in Arab countries due to its various advantages over traditional brick and mortar retailing. Sultanate of Oman is one of the important economies in this region and is a key emerging market. Oman has witnessed a boom in Ecommerce activities including B2B and B2C activities. Attaining customer satisfaction is one of the keys to success in today's crowded and competitive online market. This study attempts to find and analyse the important factors affecting customer satisfaction with Ecommerce websites and online purchasing in Oman. The study shows that Price and Ease of Use and availability of multiple payment options are the important factors that positively influence customer satisfaction.","PeriodicalId":277894,"journal":{"name":"2019 International Conference on Digitization (ICD)","volume":"19 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":"125197634","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: 11

A New Approach to Cryptographic Hashing: Color Hidden Hash Algorithm 一种新的加密哈希算法:颜色隐藏哈希算法

2019 International Conference on Digitization (ICD) Pub Date : 2019-11-01 DOI: 10.1109/ICD47981.2019.9105898

Sevilay Velioglu, Doruk Kaan Bolu, Eren Yemen

{"title":"A New Approach to Cryptographic Hashing: Color Hidden Hash Algorithm","authors":"Sevilay Velioglu, Doruk Kaan Bolu, Eren Yemen","doi":"10.1109/ICD47981.2019.9105898","DOIUrl":"https://doi.org/10.1109/ICD47981.2019.9105898","url":null,"abstract":"Nowadays, the increase in internet speed has increased the amount of data. With this increase, secure transmission of the data gained importance. Some data are important and sensitive. Security has been becoming a major concern in keeping sensitive data for companies. There are many techniques to resolve this concern and hashing data is one of them. Keeping Data as hashed in suitable environment prevents systems from undesired situations. Hash algorithm provides a way to encipher data so that it could not be read or predicted. The existing hash algorithms are standard and the output values for the same data inputs are the same. This means that the hash output for each user is not unique. In this study, an innovative algorithm was designed by converting data to binary then matching them RGBA (Red, Green, Black, Alpha) color value. First, this algorithm converts input data to byte array then it constructs four-bit groups from this array. after that, for each four-bit group related to RGBA value is assigned. These RGBA values are associated with hash code length. The output could be used as hash code. In this way, a customized hash algorithm will be obtained. Different output can be generated for the same input values. Through this study, security is unique and more private for every user.","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":"114991185","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: 2

Applying clustering algorithm to analyze the data from different dimensions 应用聚类算法对不同维度的数据进行分析

2019 International Conference on Digitization (ICD) Pub Date : 2019-11-01 DOI: 10.1109/ICD47981.2019.9105784

Beenu Mago

{"title":"Applying clustering algorithm to analyze the data from different dimensions","authors":"Beenu Mago","doi":"10.1109/ICD47981.2019.9105784","DOIUrl":"https://doi.org/10.1109/ICD47981.2019.9105784","url":null,"abstract":"In today's data-driven panorama, the ability to analyze information to drive decision-making and resolve problems is fundamental for success. This requires a robust, effective, flexible, data analytics that assists to build accurate predictive versions quickly and intuitively. Data analysis is a common technique used to analyze data in various fields of modern scientific research, which includes different divisions of Data analytics include many techniques. Clustering is considered as one of the unsupervised learning technique for analyzing the data. With the increase in number of disciplines, the amount of data is also increased. This results in the development of various tools and algorithms for applying cluster analysis. Each of the clustering algorithm has its own advantages and limitations and it completely depends on the complexity of available information. The current research is an attempt to analyze the data using clustering techniques. The researcher use python language to compile a program to collect the data from an enterprise's information management system. Python is used to analyze and clusters are interpreted accordingly. The results of clustering data based on different dimensions will lead to improve knowledge about the data accordingly.","PeriodicalId":277894,"journal":{"name":"2019 International Conference on Digitization (ICD)","volume":"29 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":"131935343","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

Towards Understanding Employee Attrition using a Decision Tree Approach 用决策树方法理解员工流失

2019 International Conference on Digitization (ICD) Pub Date : 2019-11-01 DOI: 10.1109/ICD47981.2019.9105767

S. Alhashmi

引用次数: 2

Mobile Translation Apps. and Second Language Teaching; What do Student's think? 移动翻译应用程序。第二语言教学;学生们是怎么想的?

2019 International Conference on Digitization (ICD) Pub Date : 2019-11-01 DOI: 10.1109/ICD47981.2019.9105728

John Senior

引用次数: 5