Current Issue : October - December Volume : 2013 Issue Number : 4 Articles : 5 Articles
The Internet of Things (IoT) promises huge potential economic benefits. However,\r\ncurrent IoT applications are in their infancy and the full potential of possible business\r\nopportunities is yet to be discovered. To help realize these economic benefits,\r\nworkable business models are required that show where opportunities exist. In this\r\narticle we describe the Business DNA Model - a representation of a business model\r\nin terms of Design, Needs, and Aspirations, which greatly simplifies presentation,\r\nanalysis, and design of business models. This model can be used by IoT stakeholders\r\nto generate and analyse stories, models, and projects for strategic management,\r\nbusiness strategy, and innovation. We present one scenario - smart logistics - to\r\nillustrate how the Business DNA Model might be applied....
This paper demonstrates that contemporary smartphones act as effective message\r\nfiltering systems in high traffic environments such as emergency response\r\norganisations, without relying on central servers. We have prototyped a mobile\r\nmessaging application for Android smartphones in the Erlang language. We\r\nimplemented filtering rules based on message origin, importance, and temporal\r\nvalidity, and tested the filtering capabilities of a smartphone in a realistic setup, that\r\nsimulates traffic of tens of thousands of messages per minute, as in a large scale\r\nemergency response operation. The conclusion is that careful coding of the\r\nmessaging application so that it operates in constant memory space and judicious\r\nuse of the available display area can provide an effective portable message filtering\r\nfor real-time, high-volume traffic, and the potential to reduce information overload\r\nfor the emergency responder....
Air pollution from five mobile telephone companies in Tanzania was investigated. Results show\r\nmaximum noise level of 83 dB and a minimum of 61.4 dB, above a permissible 45 dB. Concentrations of\r\nNOx ranged from 0.135 mg/m3(NO) to 0.18 mg/m3(NO2), above a permissible level of 250 mg/m3. The\r\napplied Gaussian model estimated the contribution of the BS generators to the atmosphere, to be\r\nbetween 0.0006 g/m3 and 0.001 g/m3 at 300 m from the source to 0.35 and 0.014 g/m3 10 m from the\r\nsource for both NO and NO2 respectively while the measured values ranged from 0g/m3 to 10 g/m3 for\r\nboth (NO) and (NO2) at 2.5 m from the source. The levels of PM2.5 ranged from 0.04 to 0.25 mg/m3,\r\ncompared to standard of 0.1 mg/m3. It can be concluded that there are high levels of noise and\r\nparticulate emissions at varying degrees. At least 15 m should be maintained between the base stations\r\nand the closest residence for permissible noise levels....
A churn consumer can be defined as a customer who transfers from one service provider to another\r\nservice provider. Recently, business operators have investigated many techniques that identify the\r\ncustomer churn since churn rates leads to serious business loss. In this paper, a hybrid technique has\r\nbeen used which combines K-means clustering with Genetic Programming to predict churners in\r\ntelecommunication companies. First, K-means clustering is used to filter the training dataset from\r\noutliers and non representative customer behaviors then Genetic Programming is applied in order to\r\nbuild classification trees that are able to classify customers into churners and non churners. The\r\nproposed approach is evaluated and compared with other common classification approaches.\r\nExperimental results show that K-means clustering with Genetic Programming has promising\r\ncapabilities in predicting churners� rates....
With the development of advanced mobile devices and social network services,\r\nmobile social network (MSN) has become popular in recent years. This paper we\r\npresent a new perspective of MSN, the opportunistic MSN, which aims to enhance\r\nspontaneous interaction/communication among people that opportunistically\r\nencounter in the physical world, without any infrastructure support. We present the\r\nmotivation of opportunistic MSN, explore its underpinning and the key concepts.\r\nFurther, we describe our ongoing practice regarding to this emerging research area....
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