Mobile Computing
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Author(s):  
Alexander Curtiss ◽  
Blaine Rothrock ◽  
Abu Bakar ◽  
Nivedita Arora ◽  
Jason Huang ◽  
...  

The COVID-19 pandemic has dramatically increased the use of face masks across the world. Aside from physical distancing, they are among the most effective protection for healthcare workers and the general population. Face masks are passive devices, however, and cannot alert the user in case of improper fit or mask degradation. Additionally, face masks are optimally positioned to give unique insight into some personal health metrics. Recognizing this limitation and opportunity, we present FaceBit: an open-source research platform for smart face mask applications. FaceBit's design was informed by needfinding studies with a cohort of health professionals. Small and easily secured into any face mask, FaceBit is accompanied by a mobile application that provides a user interface and facilitates research. It monitors heart rate without skin contact via ballistocardiography, respiration rate via temperature changes, and mask-fit and wear time from pressure signals, all on-device with an energy-efficient runtime system. FaceBit can harvest energy from breathing, motion, or sunlight to supplement its tiny primary cell battery that alone delivers a battery lifetime of 11 days or more. FaceBit empowers the mobile computing community to jumpstart research in smart face mask sensing and inference, and provides a sustainable, convenient form factor for health management, applicable to COVID-19 frontline workers and beyond.


2021 ◽  
Vol 2021 ◽  
pp. 1-7
Author(s):  
Huixian Wei ◽  
Jia Liu

In order to change the problem of data redundancy in a genetic algorithm, this paper proposes a computer mathematical model based on the combination of an improved genetic algorithm and mobile computing. Combined with the least square method, MATLAB software is used to solve the equations, determine the range of parameters, and solve the estimation parameter range and identification problems. The improved genetic algorithm combined with mobile computing and least square method to establish a mathematical model greatly increased the individual search space and increased the operation rate of 90% compared to the basic genetic algorithm or mobile computing. The results show that the improved genetic algorithm and mobile computing have a certain ability to identify the optimal solution and greatly improve the work efficiency.


2022 ◽  
Vol 20 (1) ◽  
pp. 1-20
Author(s):  
Sakhhi Chhabra

In this exploratory study, the main aim was to find, ‘why do people disclose information when they are concerned about their privacy?’. The reasons that provide a plausible explanation to the privacy paradox have been conjectural. From the analysis of the eighteen in-depth interviews using grounded theory, themes were then conceptualized. We found rational and irrational explanations in terms of cognitive biases and heuristics that explain the privacy paradox among mobile users. We figured out some reasons in this context of mobile computing which were not emphasized earlier in the privacy paradox literature such as Peanut Effect, Fear of Missing Out- FoMo, Learned Helplessness, and Neophiliac Personality. These results add to the privacy paradox discourse and provide implications for smartphone users for making privacy-related decisions more consciously rather than inconsiderately disclosing information. Also, the results would help marketers and policymakers design nudges and choice architectures that consider privacy decision-making hurdles.


2021 ◽  
pp. 69-93
Author(s):  
Doug C.H. Yu ◽  
John Yeh ◽  
Kuo‐Chung Yee ◽  
Chih Hang Tung
Keyword(s):  

2021 ◽  
Vol 20 (4) ◽  
pp. 479-496 ◽  
Author(s):  
Peter Zhang

As social media, virtual reality, the internet of things, artificial intelligence, mobile computing, cloud computing, virtual collaboration platforms and other new technologies become an integral part of our life, more and more of us are facing a practical issue: insufficiency of psychic energy. Approaching the cyberneticization of the human condition from the perspective of psychic energy makes for a sorely needed critical intervention. This article reveals the vampiric nature of cyberspacetime, looks into vitalistic philosophy and spiritual praxes for coping strategies, and calls for homo ludens to rise above apparatuses of capture and conserve psychic energy for negentropic endeavours, psychosomatic events and spiritual awakening. It proceeds with the assumption that news about one’s autopoiesis and becoming is the most important news. Part of the motive is to demonstrate media theory and time-tested spiritual praxes as equipment for living.


Author(s):  
Elena Fabiola Ruiz Ledesma ◽  
Juan Jesús Gutiérrez García

We make a proposal to teach the concept of function using mobile computing. This proposal is based on research that has support in education theories such as Constructivism and Problem Solving Learning. In the first part we show the difficulties that undergraduate Computer Science students have in the first semester of Engineering while working with that mathematical concept. And application to be used by the students anywhere and anytime in mobile devices is designed that process data and is intended to show them the concept of function in a problem solving situation. The proposed activities are part of the education methodology used in the research and within this paper we show the diagnostic questionnaire as one of the methodological tools and its results supporting the designed activities and its application to mobile devices


2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Zhengzhen An ◽  
Yue Zhao ◽  
Yanfei Zhang ◽  
Xuguang Li

Mineral resources are indispensable in the development of human society and are the foundation of national economic development. As the prospecting target shifts from outcrop ore to concealed ore, from shallow to deep, the difficulty of prospecting becomes more and more difficult. Therefore, the prediction of mineralization prospects is of great significance. This paper is aimed at completing the prediction of mineralization prospects by constructing geological semantic models and using mobile computer learning to improve the accuracy of prediction of mineralization prospects and expanding the application of semantic mobile computing. We use five different semantic relations to build a semantic knowledge library, realize semantic retrieval, complete information extraction of geological text data, and study mineral profiles. Through the distributed database of mobile computing, the association rules and random forest algorithm are used to describe the characteristics of minerals and the ore-controlling elements, find the association rules, and finally combine the geological and mineral data of the area and use the random forest algorithm to realize the prospect of mineralization district forecast. The geological semantic model constructed in the article uses the knowledge library for associative search to achieve an accuracy rate of 87.9% and a recall rate of 96.5%. The retrieval effect is much higher than that of traditional keyword retrieval methods. The maximum value of the posterior result of the mineralization prospect is 0.9027, the average value is 0.0421, and the standard deviation is 0.1069. The picture is brighter, and the probability of mineralization is higher.


2021 ◽  
Author(s):  
◽  
Vipul Delwadia

<p>Mobile phones are ubiquitous, however they are vastly underpowered compared to their desktop counterparts. We propose a technique to play potentially resource intensive games over a network, and provide a prototype system called RemoteME which implements this technique. We also explore the responsiveness requirement for systems of this nature, establish benchmarks for responsiveness via user studies. We evaluate our implementation by measuring its responsiveness and comparing it to this benchmark.</p>


2021 ◽  
Author(s):  
◽  
Vipul Delwadia

<p>Mobile phones are ubiquitous, however they are vastly underpowered compared to their desktop counterparts. We propose a technique to play potentially resource intensive games over a network, and provide a prototype system called RemoteME which implements this technique. We also explore the responsiveness requirement for systems of this nature, establish benchmarks for responsiveness via user studies. We evaluate our implementation by measuring its responsiveness and comparing it to this benchmark.</p>


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