scholarly journals A New Scheme for Removing Duplicate Files from Smart Mobile Devices

2019 ◽  
Vol 3 (2) ◽  
pp. 5-13
Author(s):  
Ammar Asaad ◽  
Ali Adil Yassin Alamri

The continuous development of the information technology and mobile communication world and the potentials available in the smart devices make these devices widely used in daily life. The mobile applications with the internet are distinguished simple, essay to use in any time/anywhere, communication between relatives and friends in different places in the world. The social application networks make these devices received several of the duplicate files daily which lead to many drawbacks such inefficient use of storage, low performance of CPU, RAM, and increasing consumption battery. In this paper, we present a good scheme to remove from the duplicate files, and we focus on image files as a common case in social apps. Our work overcomes on the above-mentioned issues and focuses to use hash function and Huffman code to build unique code for each image. Our experiments improve the performance from 1046770, 1995808 ns to 950000, and 1981154 ns in Galaxy and HUAWEI, respectively. In the storage side, the proposed scheme saves storage space from 1.9 GB, 1.24 GB to 2 GB, and 1.54 GB, respectively.

Information storage and security is one of key areas where much research is been done in this digital world where we communicate the data over using third party devices such as cloud by using smart devices such as mobiles so the security is an quite challenging factor where we access our data across the globe and with the social media coming into factor for the storage and accessibility of the data so there are many risk factors coming into process so we need to implement a smart and secure system for the authentication threats so here in this paper we implement a smart system in which face recognition aunthication system is implement between the cloud and mobile activity which give more security in terms of data storage and communication and then we evaluate using different graphs and also analyses the attacks


Author(s):  
Jorge Amadeu Alves Pereira da Silva ◽  
Sara Paiva ◽  
Antonio Miguel Rosado da Cruz

Increasing adoption of mobile smart devices demands a growing number of mobile applications (apps). Each of these applications must often be deployed to different mobile platforms, such as Android, iOS or Windows. Many of these applications are data-oriented, enabling the user to manage information, by creating, updating, deleting and retrieving data on his smart mobile device. By using a model-driven development approach, it is possible to generate a platform independent user interface model from a domain model, which represents the information structure of the application domain, and then have different code generators for each different target platform. This chapter presents such an approach together with a case study for Android apps.


2021 ◽  
Author(s):  
Jagadeesh Kakarla ◽  
Bala Venkateswarlu Isunuri

Abstract A newly emerged coronavirus disease affects the social and economical life of the world. This virus mainly infects the respiratory system and spreads with airborne communication. Several countries witness the serious consequences of the COVID pandemic. Early detection of COVID infection is the critical step to survive a patient from death. The chest radiography examination is the fast and cost-effective way for COVID detection. Several researchers have been motivated to automate COVID detection and diagnosis process using chest X-ray images. However, existing models employ deep networks and are suffering from high training time. This work presents transfer learning and residual separable convolution block for COVID detection. The proposed model utilizes pre-trained MobileNet for binary image classification. The proposed residual separable convolution block has improved the performance of basic MobileNet. Two publicly available datasets COVID5K, and COVIDRD have considered for the evaluation of the proposed model. Our proposed model exhibits superior performance than existing state-of-art and pre-trained models with 99% accuracy on both datasets. We have achieved similar performance on noisy datasets. Moreover, the proposed model outperforms existing pre-trained models with less training time and competitive performance than basic MobileNet. Further, our model is suitable for mobile applications as it uses fewer parameters and lesser training time.


2020 ◽  
Vol 6 (7) ◽  
pp. 262-271
Author(s):  
M. Temirkhanova ◽  
H. Zaripov ◽  
Sh. Li

This article reveals the issues of new information technologies, digitalization and mobilization of processes, the introduction of artificial intelligence in all areas. As well as mobile applications for the transition of generations from 2G, 3G, 4G to 5G, digital mobile communication with circuit switching, the difference in the speed of wireless technologies in the world is such that operators around the world are ready for changes, and even many of them have already begun to minimize/network upgrades and LTE technology.


1997 ◽  
pp. 3-8
Author(s):  
Borys Lobovyk

An important problem of religious studies, the history of religion as a branch of knowledge is the periodization process of the development of religious phenomenon. It is precisely here, as in focus, that the question of the essence and meaning of the religious development of the human being of the world, the origin of beliefs and cult, the reasons for the changes in them, the place and role of religion in the social and spiritual process, etc., are converging.


Author(s):  
Melanie SARANTOU ◽  
Satu MIETTINEN

This paper addresses the fields of social and service design in development contexts, practice-based and constructive design research. A framework for social design for services will be explored through the survey of existing literature, specifically by drawing on eight doctoral theses that were produced by the World Design research group. The work of World Design researcher-designers was guided by a strong ethos of social and service design for development in marginalised communities. The paper also draws on a case study in Namibia and South Africa titled ‘My Dream World’. This case study presents a good example of how the social design for services framework functions in practice during experimentation and research in the field. The social design for services framework transfers the World Design group’s research results into practical action, providing a tool for the facilitation of design and research processes for sustainable development in marginal contexts.


Author(s):  
Sanjay Chhataru Gupta

Popularity of the social media and the amount of importance given by an individual to social media has significantly increased in last few years. As more and more people become part of the social networks like Twitter, Facebook, information which flows through the social network, can potentially give us good understanding about what is happening around in our locality, state, nation or even in the world. The conceptual motive behind the project is to develop a system which analyses about a topic searched on Twitter. It is designed to assist Information Analysts in understanding and exploring complex events as they unfold in the world. The system tracks changes in emotions over events, signalling possible flashpoints or abatement. For each trending topic, the system also shows a sentiment graph showing how positive and negative sentiments are trending as the topic is getting trended.


GIS Business ◽  
2019 ◽  
Vol 14 (3) ◽  
pp. 202-206
Author(s):  
SAJITHA M

Food is one of the main requirements of human being. It is flattering for the preservation of wellbeing and nourishment of the body.  The food of a society exposes its custom, prosperity, status, habits as well as it help to develop a culture. Food is one of the most important social indicators of a society. History of food carries a dynamic character in the socio- economic, political, and cultural realm of a society. The food is one of the obligatory components in our daily life. It occupied an obvious atmosphere for the augmentation of healthy life and anticipation against the diseases.  The food also shows a significant character in establishing cultural distinctiveness, and it reflects who we are. Food also reflected as the symbol of individuality, generosity, social status and religious believes etc in a civilized society. Food is not a discriminating aspect. It is the part of a culture, habits, addiction, and identity of a civilization.Food plays a symbolic role in the social activities the world over. It’s a universal sign of hospitality.[1]


Author(s):  
Nur Amiratun Nazihah Roslan ◽  
Hairulnizam Mahdin ◽  
Shahreen Kasim

With the rise of social networking approach, there has been a surge of users generated content all over the world and with that in an era where technology advancement are up to the level where it could put us in a step ahead of pathogens and germination of diseases, we couldn’t help but to take advantage of that advancement and provide an early precaution measures to overcome it. Twitter on the other hand are one of the social media platform that provides access towards a huge data availability. To manipulate those data and transform it into an important information that could be used in many different scope that could help improve people’s life for the better. In this paper, we gather all algorithm that are available inside Meta Classifier to compare between them on which algorithm suited the most with the dengue fever dataset. This research are using WEKA as the data mining tool for data analyzation.


2019 ◽  
Author(s):  
Alexander Noyes ◽  
Frank Keil ◽  
Yarrow Dunham

Institutions make new forms of acting possible: Signing executive orders, scoring goals, and officiating weddings are only possible because of the U.S. government, the rules of soccer, and the institution of marriage. Thus, when an individual occupies a particular social role (President, soccer player, and officiator) they acquire new ways of acting on the world. The present studies investigated children’s beliefs about institutional actions, and in particular whether children understand that individuals can only perform institutional actions when their community recognizes them as occupying the appropriate social role. Two studies (Study 1, N = 120 children, 4-11; Study 2, N = 90 children, 4-9) compared institutional actions to standard actions that do not depend on institutional recognition. In both studies, 4- to 5-year-old children believed all actions were possible regardless of whether an individual was recognized as occupying the social role. In contrast, 8- to 9-year-old children robustly distinguished between institutional and standard actions; they understood that institutional actions depend on collective recognition by a community.


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