An Efficient Memory Management for Mobile Operating Systems Based on Prediction of Relaunch Distance

Recently,various mobile apps have included more features to improve user convenience.Mobile operating systems load as many apps into memory for faster app launching and execution.The least recently used(LRU)-based termination of cached apps is a widely adopted approach when free space of the main memory is running low.However,the LRUbased cached app termination does not distinguish between frequently or infrequently used apps.The app launch performance degrades if LRU terminates frequently used apps.Recent studies have suggested the potential of using users’app usage patterns to predict the next app launch and address the limitations of the current least recently used(LRU)approach.However,existing methods only focus on predicting the probability of the next launch and do not consider how soon the app will launch again.In this paper,we present a new approach for predicting future app launches by utilizing the relaunch distance.We define the relaunch distance as the interval between two consecutive launches of an app and propose a memory management based on app relaunch prediction(M2ARP).M2ARP utilizes past app usage patterns to predict the relaunch distance.It uses the predicted relaunch distance to determine which apps are least likely to be launched soon and terminate them to improve the efficiency of the main memory.

Zhejiang Mobile:World First-rate Telecom Operator

ZHEJIANG Mobile, second largest subsidiary of China Mobile, works on the principle: "One phone call solves a host of problems." The company has indisputably proved in its own operations that one of the problems it solves is how to save lives. On September 1, 2003, a fishing vessel and its crew of six were swept out to sea near Dayangshan Island.

Comparing Operational Efficiency of Mobile Operators in Brazil, Russia, India and China

Using partial factor productivity and data envelopment analysis approaches, this study measures and compares the operational efficiency of the 10 dominant mobile operators in Brazil, Russia, India and China （BRIC） between 2002 and 2006. The results of data envelopment analysis indicate that the two leading Brazilian mobile operators, Vivo and TIM, are fully efficient throughout the entire period of study, however, Indian mobile operators are the least efficient among BRIC operators. Interestingly, the findings of this study verify that full operational efficiency can be achieved by operators with large revenues, such as China Unicorn, and by other, y with medium and small revenues, such as Hvo, TIM and Oi. Partial faetor productivity demonstrates that 3 of the 4 Brazilian mobile operators, Vivo, TIM and Oi, have remarkable productivity ratios, and that the state-owned operator, China Unicom, has the highest revenue per capital expenditure among BRIC operators. In contrast, Indian mobile operators ＇productivity ratios are generally low compared to other BRIC mobile carriers.

The Future of Broadband Connectivity: Terrestrial Networks vs Satellite Constellations

This paper looks at the landscape of broadband connectivity as consumers welcome disruptive newcomers, the satellite service providers, into the telecommunication and internet ecosystem. It highlights the developments that have made it possible for satellites communication to form a competitive alternative for terrestrial broadband internet services. We motivate discussions on ways and approaches to ensure terrestrial mobile operators construct effective strategy in integrating and working with the newcomers for interconnecting their terrestrial nodes with those of the satellite service providers. We discuss some technology and business perspectives for a healthy co-existence, and postulate that customers’ finances (price consideration) and perception of quality of experience and satisfaction may be the battleground for satellites and terrestrial service providers. Finally, it is concluded that, in the history of human endeavor, smart and effective cooperation has always been the best strategy to fight extinction.

Research on target recognition and mobile job control of humanoid robot based on KM34Z256 for industrial applications

Purpose-Humanoid robot has similar shape and action characteristics as humans,and it can complete some basic tasks instead of humans without changing the human environment,which makes humanoid robot become the best structure and help form for robot to provide services for human beings.Design/methodology/approach-The mobile operation control of humanoid robot is generated by the walking movement of humanoid robot’s feet,and the robot’s hand and arm complete grasping and other operations together.Findings-On the basis of humanoid robot,the integrated system of software and hardware based on the KM34Z256 humanoid robot is described first,and a series of kinematics discussion on its mobile operation is carried out.Originality/value-The research based on this project shows that the target recognition and positioning method is not only accurate and of high energy but also can realize the mobile operation of humanoid robot.