Idle time and practices of it are a neglected area in design literature. While work and leisure activities are shaped by laws and political regulations, idle time does not constitute generally accepted practices. However, idle time... more
Idle time and practices of it are a neglected area in design literature. While work and leisure activities are shaped by laws and political regulations, idle time does not constitute generally accepted practices. However, idle time activities can offer individuals flexibility in their experiences in modern urban life. On the other hand, it also generates times such as waiting moments and traveling time in between everyday activities. In these moments, individuals use their own creativity by the help of “mobile interfaces” to organize their involvement in social relations in unique ways. The purpose of this thesis is to explore idle time activities to develop an understanding about how individuals use idle time to experience their social lives in both physical and virtual environments by using mobile interfaces.
The literature review of this study focuses on foundational concepts on everyday life, psychogeography and symbolic interaction, by taking mobile interfaces and travel into consideration in public idle times. For this purpose, observations in three different public settings are made. Following that, cultural probe research is conducted to explore what individuals take with them and what they observe in idle time. After cultural probes, I conducted interviews with participants to have a detailed information about what they had filled on the cards.
The thesis concludes with findings and insights on public idle time activities and their interpretations with regard to social, incidental, symbolic and ubiquitous interactions. Briefly, public idle time is framed as active social time in which individuals encounter chance moments and they use their personal creativities to experience pleasant public idle time.
Keywords: idle time, symbolic interaction, mobile interfaces, travel time
Consider a set P of n points in the plane and n radars located at these points. The radars are rotating perpetually (around their centre) with identical constant speeds, continuously emitting pulses of radio waves (modelled as... more
Consider a set P of n points in the plane and n radars located at these points. The radars are rotating perpetually (around their centre) with identical constant speeds, continuously emitting pulses of radio waves (modelled as half-infinite rays). A radar can “locate ” (or detect) any object in the plane (e.g., using radio echo-location when its ray is incident to the object). We propose a model for monitoring the plane based on a system of radars. For any point p in the plane, we define the idle time of p, as the maximum time that p is “unattended ” by any of the radars. We study the following monitoring problem: What should the initial direction of the n radar rays be so as to minimize the maximum idle time of any point in the plane? We propose algorithms for specifying the initial directions of the radar rays and prove bounds on the idle time depending on the type of configuration of n points. For arbitrary sets P we give a O(n logn) time algorithm guaranteeing a O(1/ n) upper bo...
Computational Grid (CG) creates a large heterogeneous and distributed paradigm to manage and execute the applications which are computationally intensive. In grid scheduling tasks are assigned to the proper processors in the grid system... more
Computational Grid (CG) creates a large heterogeneous and distributed paradigm to manage and execute the applications which are computationally intensive. In grid scheduling tasks are assigned to the proper processors in the grid system to for its execution by considering the execution policy and the optimization objectives. In this paper, makespan and the faulttolerance of the computational nodes of the grid which are the two important parameters for the task execution, are considered and tried to optimize it. As the grid scheduling is considered to be NP-Hard, so a meta-heuristics evolutionary based techniques are often used to find a solution for this. We have proposed a NSGA II for this purpose. The performance estimation of the proposed Fault tolerance Aware NSGA II (FTNSGA II) has been done by writing program in Matlab. The simulation results evaluates the performance of the all proposed algorithm and the results of proposed model is compared with existing model Min-Min and Max-Min algorithm which proves effectiveness of the model.
Limited hardware capabilities and very limited battery power supply are the two main constraints that arise because of small size and low cost of the wireless sensor nodes. Power optimization is highly desired at all the levels in order... more
Limited hardware capabilities and very limited battery power supply are the two main constraints that arise because of small size and low cost of the wireless sensor nodes. Power optimization is highly desired at all the levels in order to have a long lived Wireless Sensor Network (WSN). Prolonging the life span of the network is the prime focus in highly energy constrained wireless sensor networks. Sufficient number of active nodes can only ensure proper coverage of the sensing field and connectivity of the network. If large number of wireless sensor nodes get their batteries depleted over a short time span then it is not possible to maintain the network. In order to have long lived network it is mandatory to have long lived sensor nodes and hence power optimization at node level becomes equally important as power optimization at network level. In this paper need for a dynamically adaptive sensor node is signified in order to optimize power at individual nodes along with the reduction in data loss due to buffer congestion. We have analyzed a sensor node with fixed service rate (processing rate and transmission rate) and a sensor node with variable service rates for its power consumption and data loss in small sized buffers under varying traffic (workload) conditions. For variable processing rate Dynamic Voltage Frequency Scaling (DVFS) technique is considered and for variable transmission rate Dynamic Modulation Scaling (DMS) technique is considered. Comparing the results of a dynamically adaptive sensor node with that of a fixed service rate sensor node shows improvement in the lifetime of node as well as reduction in the data loss due to buffer congestion. Further we have tried to coordinate the service rates of computation unit and communication unit on a sensor node which give rise to Coordinated Adaptive Power (CAP) management. The main objective of CAP Management is to save the power during normal periods and reduce the data loss due to buffer congestion (overflow) during catastrophic periods. With CAP management we are trying to adaptively change the power consumption of sensor nodes. Power consumption of processing unit and communication unit are coordinated together and changed adaptively with respect to the workload. Coordination between processing and communication subunits results in better energy optimization as well as possible data loss before transmission because of limited buffer sizes can be avoided.