An Intelligent Customer Care Assistant System for Large-Scale Cellular Network Diagnosis

Author(s):  
Lujia Pan ◽  
Jianfeng Zhang ◽  
Patrick P.C. Lee ◽  
Hong Cheng ◽  
Cheng He ◽  
...  
2011 ◽  
Vol 23 (6) ◽  
pp. 1025-1026 ◽  
Author(s):  
Rajneesh K. Gaur

Pharmacovigilance is a resourceful process for monitoring adverse drug reactions. The lack of resources in developing countries makes it difficult to execute pharamcovigilance programs on a large scale. Therefore, the cellular technology based network, which has widespread access in the developing world, may be used as an inexpensive means of monitoring.


Author(s):  
Zhihan Fang ◽  
Yu Yang ◽  
Guang Yang ◽  
Yikuan Xian ◽  
Fan Zhang ◽  
...  

Data from the cellular network have been proved as one of the most promising way to understand large-scale human mobility for various ubiquitous computing applications due to the high penetration of cellphones and low collection cost. Existing mobility models driven by cellular network data suffer from sparse spatial-temporal observations because user locations are recorded with cellphone activities, e.g., calls, text, or internet access. In this paper, we design a human mobility recovery system called CellSense to take the sparse cellular billing data (CBR) as input and outputs dense continuous records to recover the sensing gap when using cellular networks as sensing systems to sense the human mobility. There is limited work on this kind of recovery systems at large scale because even though it is straightforward to design a recovery system based on regression models, it is very challenging to evaluate these models at large scale due to the lack of the ground truth data. In this paper, we explore a new opportunity based on the upgrade of cellular infrastructures to obtain cellular network signaling data as the ground truth data, which log the interaction between cellphones and cellular towers at signal levels (e.g., attaching, detaching, paging) even without billable activities. Based on the signaling data, we design a system CellSense for human mobility recovery by integrating collective mobility patterns with individual mobility modeling, which achieves the 35.3% improvement over the state-of-the-art models. The key application of our recovery model is to take regular sparse CBR data that a researcher already has, and to recover the missing data due to sensing gaps of CBR data to produce a dense cellular data for them to train a machine learning model for their use cases, e.g., next location prediction.


2017 ◽  
Vol 2017 ◽  
pp. 1-8 ◽  
Author(s):  
Luis F. Pedraza ◽  
Cesar A. Hernández ◽  
Danilo A. López

Radioelectric spectrum occupancy forecast has proven useful for the design of wireless systems able to harness spectrum opportunities like cognitive radio. This paper proposes the development of a model that identifies propagation losses and spectrum opportunities in a channel of a mobile cellular network for an urban environment using received signal power forecast. The proposed model integrates the Hata-Okumura (H-O) large-scale propagation model with a wavelet neural model. The model results, obtained through simulations, show that the wavelet neural model forecasts with a high degree of precision, which is consistent with the observed behavior in experiments carried out in wireless systems of this type.


2016 ◽  
Vol 20 (11) ◽  
pp. 2292-2295 ◽  
Author(s):  
Andreas Achtzehn ◽  
Janne Riihijarvi ◽  
Petri Mahonen

2010 ◽  
Vol 26 (16) ◽  
pp. 2020-2028 ◽  
Author(s):  
Tong Zhou ◽  
Ya-Li Wang

Doppelganger brand images (DBIs) are a collection of disparaging brand images and stories circulated in popular culture, customarily targeted at brands to hold them accountable for any inconsistency in the quality of the products or services provided. If overlooked, DBIs may prove harmful to the brand's equity and value and sometimes even directly lead to a loss in sales. This paper delves into how DBIs affect an end consumer's perception of a brand. It aims to draw insights into a possible change in consumers' attitudes towards purchasing and subsequent consumption of the products and services offered by brands from four different industries(Beverage, Cellular Network, Airlines and Sports Entertainment) after being exposed to DBIs. The research was conducted in three steps, including two quantitative surveys and one qualitative research with the help of in-depth interviews. Through the first quantitative survey, the preferred attributes of four product categories beverages industry, the sports entertainment industry, cellular network industry, and the airline industry, was observed. Next, any changes in the respondents' willingness to consume after they have been exposed to DBIs of four brands from the above four different industries have been mapped. Through in-depth interviews on a sample of respondents, the underlying reasons behind the change or lack thereof were observed. Conducting the qualitative research on each product category's three competitive brands helped in assessing the variation in the level of indifference a consumer has towards a DBI concerning a particular product category. Finally, quantitative research on the selected sample of respondents was used to map any possible difference in attitude towards consumption of the products and services of the brands discussed in the in-depth interviews, which was used to arrive at the findings and conclusion. The novelty of this paper lies in the fact that much of existing research has been done to gauge the effects of negative branding via Doppelganger Brand Images of products on the brand equity and sales, by studying on specific brands/products. The question of “How are consumers impacted by the exposure to the aforementioned negative branding?” has been attempted to be answered through this paper, without restricting our scope to a single business industry or product category. The paper throws light on the emergence of a possible pattern of consumer’s perception towards brands that have been targeted by DBIs, across four product categories, which need to be taken into account by marketers planning on large scale emotional branding campaigns of those product categories.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Niamh Murtagh ◽  
Alice M. Owen ◽  
Kate Simpson

PurposeTo improve building performance and meet statutory carbon reduction targets, a radical transformation of existing UK building stock is needed. Much previous research on building performance has focussed on large-scale construction. However, retrofit of existing housing stock – which will contribute the majority of the requisite efficiency improvement – is carried out by practitioners in the repair–maintain–improve (RMI) subsector. These practitioners are the sole traders and micro-firms who constitute two-fifths of employment in the construction sector. The study aims to examine the factors influencing these practitioners in RMI work to understand how better to engage them with improved building performance.Design/methodology/approachA total of 31 semi-structured interviews were conducted with RMI professionals from around the UK and analysed using template analysis.FindingsThe analysis identified capabilities of the practitioners who influence building performance, including knowledge and co-ordination of people and resources; opportunities including state action and customer demand; and motivations including pride in work, customer care and satisfaction, maintaining a viable business and working relationships.Research limitations/implicationsThe participants were a small, mixed group in terms of firm size and specialisation. The qualitative approach adopted provided detailed insights but does not make claims for statistical generalisability or representativeness of the findings. Future work could look to extend the findings with a statistically representative survey.Practical implicationsFor a successful transition to high standards of building performance, modelling is not enough. Initiatives are needed to address the multiple factors which determine engagement in energy-efficient retrofit: capacities, opportunities and motivations. The desire of RMI practitioners to meet customer expectations could be used to develop pragmatic building performance evaluation, guided by householder satisfaction criteria.Originality/valueThe study examined the attitudes and experiences of an under-researched sector who are essential to the delivery of improved building performance. This study makes a novel contribution by applying an established psychological model of behaviour change, the capability, opportunity, motivation – behaviour model, for the first time in this domain.


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