Mining the Web Data for Classifying and Predicting Users’ Requests

Consumers are the most important asset of any organization. The commercial activity of an organization booms with the presence of a loyal customer who is visibly content with the product and services being offered. In a dynamic market, understanding variations in client’s behavior can help executives establish operative promotional campaigns. A good number of new consumers are frequently picked up by traders during promotions. Though, several of these engrossed consumers are one-time deal seekers, the promotions undeniably leave a positive impact on sales. It is crucial for traders to identify who can be converted to loyal consumer and then have them patronize products and services to reduce the promotion cost and increase the return on investments. This study integrates a classifier that allows prediction of the type of purchase that a customer would make, as well as the number of visits that he/she would make during a year. The proposed model also creates outlines of users and brands or items used by them. These outlines may not be useful only for this particular prediction task, but could also be used for other important tasks in e-commerce, such as client segmentation, product recommendation and client base growth for brands

How deliberate, spontaneous and unwanted memories emerge in a computational model of consciousness

“And as soon as I had recognized the taste of the piece of madeleine soaked in her decoction of lime-blossom which my aunt used to give me ... immediately the old grey house upon the street, where her room was, rose up like a stage set to attach itself to the little pavilion opening on to the garden which had been built out behind it for my parents ...; and with the house the town, from morning to night and in all weathers, the Square where I used to be sent before lunch, the streets along which I used to run errands, the country roads we took when it was fine ...”\ud \ud ---Marcel Proust, Remembrance of Times Past ()\ud \ud In these words the novelist Marcel Proust described a flood of unbidden memories evoked by the taste of what must be the most famous cookie in the world, Proust’s madeleine soaked in lime-blossom tea. It is of course an experience of spontaneous recall. Judging by numerous thought-monitoring studies, spontaneous recall is the norm in everyday thought. But because it is more difficult to study experimentally than deliberate recall, we know much less about it.\ud \ud \ud In this chapter we describe how a current theory of conscious cognition, global workspace theory, leads naturally to a model of both deliberate and spontaneous recall. Deliberate recall is intended; spontaneous memories are not. They can be divided into two categories:\ud \ud 1. acceptable spontaneous recall (ASR), like Proust’s famous rush of memories evoked by the taste of the madeleine. Such memories are interesting or pleasant or at least tolerable;\ud 2. unwanted spontaneous recall (USR), such as painful traumatic events, an annoying recurrent melody, or a the memory of an unresolved argument with a loved one.\ud \ud We therefore have three categories altogether, deliberate recall (DR), spontaneous recall that is acceptable (ASR) and unwanted spontaneous recall (USR).\ud \ud A large-scale computational model of global workspace theory called IDA has been developed by Franklin and co-authors (Franklin et al, 2005). IDA allows the detailed modeling of GW theory, together with other well-studied cognitive mechanisms, in challenging real-world tasks (Franklin et al, 1998; Franklin and Grasser 2001; Franklin 2001a; Ramamurthy et al, 2003, 2004; Franklin et al, 2005). This chapter will only focus on the question of consciousness and voluntary control as they apply to recall. Because IDA is able to simulate human functioning in at least one type of highly trained expertise, our approach here is to furnish a working proof of principle, showing that the basic computational mechanisms are adequate to generate human-like cognitive functioning in a real-world task. No added theoretical constructs are needed to show three kinds of recall we discuss here: deliberate, spontaneous and unwanted. They emerge directly from the original model.\ud \ud Unwanted memories are important in post-traumatic “flashbacks,” as reported in the clinical literature. While there is controversy about the accuracy of claimed memories, for example, there is little debate that repetitive thoughts and fragments of memories can occur. Wegner has been able to evoke unwanted words in an “ironic recall” paradigm, that is, an experimental method in which subjects are asked not to think of some category of ideas, such as white bears or pink elephants (1994). Unwanted memories can be annoying, or in the case of obsessional thinking, they may become disabling. In everyday life, one can simply ask people to bring to mind an intensely embarrassing personal memory, which can be quite uncomfortable. A number of clinical categories (the Axis I disorders) involve unwanted thoughts, feelings, actions, or memories. These conditions are at the more dysfunctional pole of unwanted mental events, and the study of unwanted memories may help provide some insight into them

Comfort Level Refinement of Military Tracked Vehicle Crew through Optimal Control Study

Military tracked vehicle and crew are modelled together in this paper as integrated man-machine lumped parameter model, by integrating the simplified 5 degrees of freedom (DoF) tracked vehicle model, including seat and 4 DoF human bio-dynamic model, thus resulting in a 9 DoF simplified vehicle-occupant model. Then the natural frequency of major mass segment namely the chassis mass is obtained through simulation study, for a known road input. The value obtained is compared with that of an earlier research work, for validation of said man-machine model. Then focusing our study locally at crew seat location, parameters of crew seat suspension for ride comfort are optimised using the optimal digital state space controller designed for this purpose by implementing it in a 2 DoF occupant - seat suspension model and its Simulink model constructed. Simulation results illustrate the attainment of the goal by meeting the controller design requirements

Ergonomic Level Improving of Armoured Fighting Vehicle Crew

The armoured fighting vehicle (AFV)-occupant composite system is modelled as a lumped parameter system, in this paper, wherein the 4 degrees of freedom (dof) biodynamic occupant model is integrated with 10 dof in-plane AFV model including the crew seat, thus leading to the 14 dof vehicle-occupant composite model and the governing equations of motion are obtained. The composite model is subjected to idealised road input simulating the ground reaction forces. Natural frequencies and the frequency domain vibration responses of various masses of model are obtained. The natural frequency of chassis thus obtained is compared with the result established by an earlier research work, to validate the model. The study is focused on crew seat location. A 2 dof occupant-seat suspension model is formulated and validated through case study. The optimised values of seat suspension parameters for ride comfort are obtained using the said model, through two methods of Invariant points theory and genetic algorithm toolbox of Matlab 2014a software. Acceleration responses of body for the current and optimised parameter values obtained illustrate that comfort of crew is improved with optimised values through minimization in the acceleration responses

A novel scheduling algorithm to maximize the D2D spatial reuse in LTE networks

In order to offload base station (BS) traffic and to enhance efficiency of spectrum, operators can activate many Device-to-Device (D2D) pairs or links in LTE networks. This increases the overall spectral efficiency because the same Resource Blocks (RBs) are used across cellular UEs (CUEs) (i.e., all UEs connected to BS for both C-Plane and D-plane communication) and D2D links (i.e., where the UEs are connected to BS only for C-plane communication). However, significant interference problems can be caused by D2D communications as the same RBs are being shared. In our work, we address this problem by proposing a novel scheduling algorithm, Efficient Scheduling and Power control Algorithm for D2Ds (ESPAD), which reuses the same RBs and tries to maximize the overall network throughput without affecting the CUEs throughput. ESPAD algorithm also ensures that Signal to Noise plus Interference Ratio (SINR) for each of the D2D links is maintained above a certain predefined threshold. The aforementioned properties of ESPAD algorithm makes sure that the CUEs do not experience very high interference from the D2Ds. It is observed that even when the SINRdrop (i.e., maximum permissible drop in SINR of CUEs) is as high as 10 dB, there is no drastic decrease in CUEs throughput (only 3.78%). We also compare our algorithm against other algorithms and show that D2D throughput improves drastically without undermining CUEs throughput

Case study: Managing a case of ankylosing spondylitis for inguinal hernia repair

A 55-year-old man diagnosed with ankylosing spondylitis presented for inguinal hernia repair. The patient was found to have limited neck movement, thoracic kyphosis and restrictive lung disease. Surgery was performed under hernia block, which was inadequate. General anaesthesia was then administered and airway patency was maintained with an endotracheal tube used as a nasopharyngeal airway

Efficacy of trypan blue in posterior capsulorhexis with optic capture in pediatric cataracts [ISRCTN48221688]

BACKGROUND: To evaluate the efficacy of trypan blue (0.06%) in posterior capsulorhexis with optic capture in pediatric cataracts. METHODS: In this prospective randomized controlled study, trypan blue dye assisted posterior capsulorhexis with optic capture was performed in 18 eyes (group 1) and no dye was used for posterior capsulorhexis (group 2) in 17 eyes. RESULTS: The mean size of the posterior capsulorhexis was 4.6 +/-1.77 mm and 4.0 +/- 0.93 mm in the group 1 and 2 respectively. Optic capture was possible in 17 eyes in the group 1 and 11 eyes in the group 2. CONCLUSION: Trypan blue facilitates posterior capsulorhexis with optic capture of AcrySof IOL in cases of pediatric cataracts