Feature Level Review Table Generation For E-Commerce Websites To Produce Qualitative Rating Of The Products,
2020
Dept. of CSE, St Peter's University, Chennai, India
Feature Level Review Table Generation For E-Commerce Websites To Produce Qualitative Rating Of The Products, Kumar Raja, S Pushpa
Future Computing and Informatics Journal
It is widely acknowledged today that E-Commerce business is growing rapidly. This is happened only because of people are completely depending on the ratings and reviews given by the customers who are already purchased and using the products. Online surveys, customer reviews on shopping sites are the key sources to understand customer requirements and feedback to help upgrade the product quality and achieve greater outcomes. Now the challenge is that whether those reviews came from product level or feature level will be the million dollar question. To overcome this problem we are proposing a new algorithm to give feature level …
Pentagonal Fuzzy Number, Its Properties And Application In Fuzzy Equation,
2020
Department of Mathematics, Midnapore College (Autonomous), Midnapore, West Midnapore 721101, West Bengal, India
Pentagonal Fuzzy Number, Its Properties And Application In Fuzzy Equation, Sankar Mondal
Future Computing and Informatics Journal
The paper presents an adaptation of pentagonal fuzzy number. Different type of pentagonal fuzzy number is formed. The arithmetic operation of a particular type of pentagonal fuzzy number is addressed here. The difference between two pentagonal valued functions is also addressed here. Demonstration of pentagonal fuzzy solutions of fuzzy equation is carried out with the said numbers. Additionally, an illustrative example is also taken with the useful graph and table for usefulness for attained to the proposed concept
Informative Gene Selection Using Adaptive Analytic Hierarchy Process (A2hp),
2020
Department of Computer Science and Engineering, PEC University of Technology, Chandigarh 160012, India
Informative Gene Selection Using Adaptive Analytic Hierarchy Process (A2hp), Abhishek Bhola, Shafa Mahajan
Future Computing and Informatics Journal
Gene expression dataset derived from microarray experiments are marked by large number of genes, which contains the gene expression values at different sample conditions/time-points. Selection of informative genes from these large datasets is an issue of major concern for various researchers and biologists. In this study, we propose a gene selection and dimensionality reduction method called Adaptive Analytic Hierarchy Process (A2HP). Traditional analytic hierarchy process is a multiple-criteria based decision analysis method whose result depends upon the expert knowledge or decision makers. It is mainly used to solve the decision problems in different fields. On the other hand, A2HP is …
A New Method To Reduce The Effects Of Http-Get Flood Attack,
2020
Computer Department, Engineering Faculty, Shahid Bahonar University of Kerman, Iran
A New Method To Reduce The Effects Of Http-Get Flood Attack, Hamid Mirvaziri
Future Computing and Informatics Journal
HTTP Get Flood attack is known as the most common DDOS attack on the application layer with a frequency of 21 percent in all attacks. Since a huge amount of requests is sent to the Web Server for receiving pages and also the volume of responses issued by the server is much more than the volume received by zombies in this kind of attack, hence it could be done by small botnets; in the other hand, because every zombie attempts to issue the request by the use of its real address, carries out all stages of the three-stage handshakes, and …
Wavelet Based Transition Region Extraction For Image Segmentation,
2020
GIET University
Wavelet Based Transition Region Extraction For Image Segmentation, Priyadarsan Parida, Nilamani Bhoi
Future Computing and Informatics Journal
Transition region based approaches are recent hybrid segmentation techniques well known for its simplicity and effectiveness. Here, the segmentation effectiveness depends on robust extraction of transition regions. So, we have proposed a transition region method which initially decomposes the gray image in wavelet domain. Two existing transition region approaches are applied on approximate coefficients to extract transition region feature matrix. Using this feature matrix the corresponding prominent wavelet coefficients of different bands are found. Inverse wavelet transform are then applied on the modified coefficients to get edge image with more than one pixel width. Otsu thresholding is applied on it …
Enersave Api: Android-Based Power-Saving Framework For Mobile Devices,
2020
Department of Computer Science and Engineering, University of Mauritius, Réduit, Mauritius
Enersave Api: Android-Based Power-Saving Framework For Mobile Devices, Y Beeharry, A.M Muharum, V Hurbungs, Vershley Joyejob
Future Computing and Informatics Journal
Power consumption is a major factor to be taken into consideration when using mobile devices in the IoT field. Good Power management requires proper understanding of the way in which it is being consumed by the end-devices. This paper is a continuation of the work in Ref. [1] and proposes an energy saving API for the Android Operating System in order to help developers turn their applications into energy-aware ones. The main features heavily used for building smart applications, greatly impact battery life of Android devices and which have been taken into consideration are: Screen brightness, Colour scheme, CPU frequency, …
Forecasting Of Nonlinear Time Series Using Ann,
2020
Computer Science Department, Institute of Statistical Studies and Research, Cairo University
Forecasting Of Nonlinear Time Series Using Ann, Ahmed Tealab, Hesham Hefny, Amr Badr
Future Computing and Informatics Journal
When forecasting time series, it is important to classify them according linearity behavior that the linear time series remains at the forefront of academic and applied research, it has often been found that simple linear time series models usually leave certain aspects of economic and financial data unexplained. The dynamic behavior of most of the time series in our real life with its autoregressive and inherited moving average terms issue the challenge to forecast nonlinear times series that contain inherited moving average terms using computational intelligence methodologies such as neural networks. It is rare to find studies that concentrate on …
Designing Fuzzy Rule Base Using Spider Monkey Optimization Algorithm In Cooperative Framework,
2020
Department of Applied Sciences, ABV-Indian Institute of Technology & Management Gwalior
Designing Fuzzy Rule Base Using Spider Monkey Optimization Algorithm In Cooperative Framework, Joydip Dhar
Future Computing and Informatics Journal
The paper focusses on the implementation of cooperative Spider Monkey Optimization Algorithm (SMO) to design and optimize the fuzzy rule base. Spider Monkey Optimization Algorithm is a fission-fusion based Swarm Intelligence algorithm. Cooperative Spider Monkey Algorithm is an off-line algorithm used to optimize all the free parameters in a fuzzy rule base. The Spider Monkeys are divided into various groups the solution from each group represents a fuzzy rule. These groups work in a cooperative way to design the whole fuzzy rule base. Simulation on fuzzy rules of two nonlinear controllers is done with a parametric study to verify the …
Interesting Association Rule Mining With Consistent And Inconsistent Rule Detection From Big Sales Data In Distributed Environment,
2020
Department of Computer Science & Engineering, Institute of Technology, Nirma University, Ahmedabad, India
Interesting Association Rule Mining With Consistent And Inconsistent Rule Detection From Big Sales Data In Distributed Environment, Dinesh J. Prajapati, Sanjay Garg, N.C. Chauhan
Future Computing and Informatics Journal
Nowadays, there is an increasing demand in mining interesting patterns from the big data. The process of analyzing such a huge amount of data is really computationally complex task when using traditional methods. The overall purpose of this paper is in twofold. First, this paper presents a novel approach to identify consistent and inconsistent association rules from sales data located in distributed environment. Secondly, the paper also overcomes the main memory bottleneck and computing time overhead of single computing system by applying computations to multi node cluster. The proposed method initially extracts frequent itemsets for each zone using existing distributed …
A Survey On Exploring Key Performance Indicators,
2020
Association of Arab Universities
A Survey On Exploring Key Performance Indicators, Amira Idrees
Future Computing and Informatics Journal
Key Performance Indicators (KPIs) allows gathering knowledge and exploring the best way to achieve organization goals. Many researchers have provided different ideas for determining KPI's either manually, and semi-automatic, or automatic which is applied in different fields. This work concentrates on providing a survey of different approaches for exploring and predicting key performance indicators (KPIs).
A Survey Of Iot Cloud Platforms,
2020
Association of Arab Universities
A Survey Of Iot Cloud Platforms, Partha Pratim Ray
Future Computing and Informatics Journal
Internet of Things (IoT) envisages overall merging of several “things” while utilizing internet as the backbone of the communication system to establish a smart interaction between people and surrounding objects. Cloud, being the crucial component of IoT, provides valuable application specific services in many application domains. A number of IoT cloud providers are currently emerging into the market to leverage suitable and specific IoT based services. In spite of huge possible involvement of these IoT clouds, no standard cum comparative analytical study has been found across the literature databases. This article surveys popular IoT cloud platforms in light of solving …
A Cloud Interoperability Broker (Cib) For Data Migration In Saas,
2020
Arab Academy for Science, Technology & Maritime Transport (AASTMT), Cairo, Egypt
A Cloud Interoperability Broker (Cib) For Data Migration In Saas, Hassan Ali, Ramdan Mowad, Amira Farouk
Future Computing and Informatics Journal
Cloud computing is becoming increasingly popular. Information technology market leaders, e.g., Microsoft, Google, and Amazon, are extensively shifting toward cloud-based solutions. However, there is isolation in the cloud implementations provided by the cloud vendors. Limited interoperability can cause one user to adhere to a single cloud provider; thus, a required migration of an application or data from one cloud provider to another may necessitate a significant effort and/or full-cycle redevelopment to fit the new provider's standards and implementation. The ability to move from one cloud vendor to another would be a step toward advancing cloud computing interoperability and increasing customer …
Fixing Rules For Data Cleaning Based On Conditional Functional Dependency,
2020
Faculty of Computers and Information, Menoufia University, Egypt
Fixing Rules For Data Cleaning Based On Conditional Functional Dependency, Asmaa Abdo
Future Computing and Informatics Journal
Most existing databases suffer from data inconsistencies. Enhancing data quality efforts are necessary to resolve this issue. In this paper, two techniques are proposed for mining accurate conditional functional dependencies rules from such databases to be employed for data cleaning. The idea of the proposed techniques is to mine firstly maximal closed frequent patterns, then mine the dependable conditional functional dependencies rules with the help of lift measure. Moreover, data repairing algorithm is proposed for fixing inconsistent tuples found in the database exploiting the generated rules. An extensive experimental is conducted study to confirm the effectiveness of the proposed techniques …
Benefits And Challenges Of Cloud Erp Systems – A Systematic Literature Review,
2020
Institute of Statistical Studies and Research, Cairo University, Egypt
Benefits And Challenges Of Cloud Erp Systems – A Systematic Literature Review, Mohamed Abd Elmonem, Eman Nasr, Mervat Geith
Future Computing and Informatics Journal
Enterprise Resource Planning (ERP) systems provide extensive benefits and facilities to the whole enterprise. ERP systems help the enterprise to share and transfer data and information across all functions units inside and outside the enterprise. Sharing data and information between enterprise departments helps in many aspects and aims to achieve different objectives. Cloud computing is a computing model which takes place over the internet and provides scalability, reliability, availability and low cost of computer reassures. Implementing and running ERP systems over the cloud offers great advantages and benefits, in spite of its many difficulties and challenges. In this paper, we …
Centrifi: A Centralizedwireless Access Point Management Platform,
2020
Santa Clara University
Centrifi: A Centralizedwireless Access Point Management Platform, Andreas Anderhub, Zac Wilson
Computer Science and Engineering Senior Theses
With the ubiquity of wireless end-devices, more strain is placed on standard network deployment architectures. Mesh networks have started to rise in popularity in order to meet the needs of modern wireless networks. However, the existent solutions for deploying and centrally configuring mesh networks leave much to be desired, as most are either too expensive or too cumbersome. This paper showcases a solution to this problem, CentriFi—an open source platform, built to run on OpenWrt access points, providing a quick and easy way to set up and configure mesh networks in a central location using the 802.11s standard. CentriFi provides …
The Character Jar: Trait-Based Facial Feature Generation Software,
2020
Santa Clara University
The Character Jar: Trait-Based Facial Feature Generation Software, Angela Shao
Computer Science and Engineering Senior Theses
While AI has come a long way in random facial generation, very limited research has been done on targeted generation. Initial impressions given by faces vary widely depending on the shape and proportions of the features. This project will design a program that manipulates a face shape according to given traits. By using preexisting research on the correlation between facial features and associated characteristics and impressions, the practical uses of facial generation increase many fold. This allows facial generation to be applied to marketing and design, as well as increasing the overall accessibility to any laypersons seeking such applications.
Creation Of Mobile Applications For The Shrines Of Al-Hakim Al-Termizi,
2020
International Islamic Academy of Uzbekistan
Creation Of Mobile Applications For The Shrines Of Al-Hakim Al-Termizi, Mavlyuda Xodjayeva, Turdali Jumayev, Alimjon Dadamuhamedov, Barno Saydakhmedova
The Light of Islam
We recognize that the sustainable development of tourism has great potential for the development of cultural and humanitarian ties around the world. We emphasize the importance of information technology in tourism, especially in the areas of advertising, marketing, differentiation and specialization of tourism products. In addition, we reaffirm our commitment to pilgrimage tourism for the individual growth of people and the strengthening of basic social norms and national values. The program uses modern programming languages such as Php, Java, C ++. Al-Hakim at-Termizi is one of the most famous places of worship in Uzbekistan, which is also known for its …
Cloud Technologies In Islamic Education Institutions,
2020
International Islamic Academy of Uzbekistan
Cloud Technologies In Islamic Education Institutions, Alimjon Dadamuhamedov Irgashevich
The Light of Islam
Information and Communication Technology is making use of ICT tools to store and retrieves information. It plays an important role in growing and maintaining a country’s economic growth. One of the latest technologies prevailing nowadays is cloud computing. By sharing IT services as platform-based, software-based, and infrastructure-based in the cloud, educational institutions in Uzbekistan can now out-source non-core services and better concentrate on offering students, teachers, faculty and other staff the essential tools to help them succeed. This paper looks at how Cloud Computing can be applied in the study of ICT and focuses on the role of cloud computing …
Galapago!,
2020
Santa Clara University
Galapago!, Kristina Anderson, Kat Hibbert, Mariah Manzano, Catrina Nguyen
Computer Science and Engineering Senior Theses
When traveling to the Galápagos Islands, tourists are unaware of all the Islands have to offer and only visit popular tourist spots. They bring in pests which are damaging to the ecological structure and do not contribute to the local economy. There is very limited Internet services on the Islands and not many online resources to be found. We have created a mobile and web application that show users recommendations for their visit. Because the Galápagos Islands do not have reliable internet connectivity, our application must not rely on connectivity to function. Instead, users will only need to connect once …
Omwanathrive: A Neonatal Survival App,
2020
Santa Clara University
Omwanathrive: A Neonatal Survival App, Story Deweese, Tiffany Lee, Samantha Sy, Emily Zhang
Computer Science and Engineering Senior Theses
Uganda’s infant mortality rate is alarmingly high, ranking twenty-first in the world for highest infant mortality; eighty-one babies die within their first month of life each day in Uganda. The UN reports the greatest risk factors are rural location, prematurity, and young impoverished mothers with limited educational opportunities. Thus, young women are giving birth to children before they even learn about how to take care of their newborn infant. Our solution to this problem is in the form of a mobile application called OmwanaThrive: Neonatal Survival App. The purpose of the app is to educate women about how to properly …
