A Method for Inferring Important Personal Locations of Mobile Users Based on Time State Distribution

In this technological world, smartphones can be considered as one of the most far-reaching inventions. It plays a vital role in connecting people socially. The number of mobile users using an Android based smartphone has increased rapidly since last few years resulting in organizations, cyber cell departments, government authorities feeling the need to monitor the activities on certain targeted devices in order to maintain proper functionality of their respective jobs. Also with the advent of smartphones, Android became one of the most popular and widely used Operating System. Its highlighting features are that it is user friendly, smartly designed, flexible, highly customizable and supports latest technologies like IoT. One of the features that makes it exclusive is that it is based on Linux and is Open Source for all the developers. This is the reason why our project Mackdroid is an Android based application that collects data from the remote device, stores it and displays on a PHP based web page. It is primarily a monitoring service that analyzes the contents and distributes it in various categories like Call Logs, Chats, Key logs, etc. Our project aims at developing an Android application that can be used to track, monitor, store and grab data from the device and store it on a server which can be accessed by the handler of the application.

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Game-Based Resource Allocation Mechanism in B5G HetNets with Incomplete Information

Applied Sciences ◽

10.3390/app10051557 ◽

2020 ◽

Vol 10 (5) ◽

pp. 1557

Author(s):

Weijia Feng ◽

Xiaohui Li

Keyword(s):

Resource Allocation ◽

Incomplete Information ◽

Stackelberg Game ◽

Superior Performance ◽

Channel Gain ◽

Mobile Users ◽

Pricing Strategies ◽

Game Equilibrium ◽

Allocation Process ◽

Realistic Situation

Ultra-dense and highly heterogeneous network (HetNet) deployments make the allocation of limited wireless resources among ubiquitous Internet of Things (IoT) devices an unprecedented challenge in 5G and beyond (B5G) networks. The interactions among mobile users and HetNets remain to be analyzed, where mobile users choose optimal networks to access and the HetNets adopt proper methods for allocating their own network resource. Existing works always need complete information among mobile users and HetNets. However, it is not practical in a realistic situation where important individual information is protected and will not be public to others. This paper proposes a distributed pricing and resource allocation scheme based on a Stackelberg game with incomplete information. The proposed model proves to be more practical by solving the problem that important information of either mobile users or HetNets is difficult to acquire during the resource allocation process. Considering the unknowability of channel gain information, the follower game among users is modeled as an incomplete information game, and channel gain is regarded as the type of each player. Given the pricing strategies of networks, users will adjust their bandwidth requesting strategies to maximize their expected utility. While based on the sub-equilibrium obtained in the follower game, networks will correspondingly update their pricing strategies to be optimal. The existence and uniqueness of Bayesian Nash equilibrium is proved. A probabilistic prediction method realizes the feasibility of the incomplete information game, and a reverse deduction method is utilized to obtain the game equilibrium. Simulation results show the superior performance of the proposed method.

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Inferring Multiple Activities of Mobile Users with Activity Algebra

2011 IEEE 12th International Conference on Mobile Data Management ◽

10.1109/mdm.2011.105 ◽

2011 ◽

Cited By ~ 1

Author(s):

Saguna

Keyword(s):

Mobile Users

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Kinetic analysis of mechanism of intestinal Na+-dependent sugar transport

AJP Cell Physiology ◽

10.1152/ajpcell.1985.248.5.c498 ◽

1985 ◽

Vol 248 (5) ◽

pp. C498-C509 ◽

Cited By ~ 23

Author(s):

D. Restrepo ◽

G. A. Kimmich

Keyword(s):

Experimental Data ◽

Steady State ◽

Sugar Transport ◽

Enzyme Kinetic ◽

Steady State Distribution ◽

State Distribution ◽

Least Squares Fit ◽

Coupling Stoichiometry ◽

Rate Limiting ◽

Kinetics Of

Zero-trans kinetics of Na+-sugar cotransport were investigated. Sugar influx was measured at various sodium and sugar concentrations in K+-loaded cells treated with rotenone and valinomycin. Sugar influx follows Michaelis-Menten kinetics as a function of sugar concentration but not as a function of Na+ concentration. Nine models with 1:1 or 2:1 sodium:sugar stoichiometry were considered. The flux equations for these models were solved assuming steady-state distribution of carrier forms and that translocation across the membrane is rate limiting. Classical enzyme kinetic methods and a least-squares fit of flux equations to the experimental data were used to assess the fit of the different models. Four models can be discarded on this basis. Of the remaining models, we discard two on the basis of the trans sodium dependence and the coupling stoichiometry [G. A. Kimmich and J. Randles, Am. J. Physiol. 247 (Cell Physiol. 16): C74-C82, 1984]. The remaining models are terter ordered mechanisms with sodium debinding first at the trans side. If transfer across the membrane is rate limiting, the binding order can be determined to be sodium:sugar:sodium.

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