scholarly journals Customer Segmentation Through Path Reconstruction

Author(s):  
Santiago García

With the rapid development of smart phones, tablets and their operative systems, many positioning enabled sensors have been built into these devices. Users can now accurately fix their location according to the function of GPS receivers. For indoor environments, as in the case we are studying, WiFi based positioning is preferred to GPS due to the attenuation or obstruction of signals. This paper deals with the automatic classification of customers in a Sports Shop Center on the basis of their movements around the shop's premises. To achieve this goal, we start by collecting (x,y) coordinates from customers while they visit the store. Consequently, any costumer's path through the shop is formed by a list of coordinates, obtained with a frequency of one measurement per minute. Then, a guess about the full trajectory is constructed and a number of parameters about these trajectories is calculated before performing an Unsupervised Learning Clustering Process. As a result, we can identify several types of customers, and the dynamics of their behavior inside the shop. This information is of great value to the company, to be used both in the long term and also in short periods of time, monitoring the current state of the shop at any moment, identifying different types of situation appearing during restricted periods, or predicting customer flow conditions

2021 ◽  
Vol 13 (14) ◽  
pp. 7971
Author(s):  
Xinfei Li ◽  
Baodong Cheng ◽  
Heng Xu

With the rapid development of the economy, corporate social responsibility (CSR) is receiving increasing attention from companies themselves, but also increasing attention from society as a whole. How to reasonably evaluate the performance of CSR is a current research hotspot. Existing corporate-social-responsibility evaluation methods mostly focus on the static evaluation of enterprises in the industry, and do not take the time factor into account, which cannot reflect the performance of long-term CSR. On this basis, this article proposes a time-based entropy method that can evaluate long-term changes in CSR. Studies have shown that the completion of CSR in a static state does not necessarily reflect the dynamic and increasing trend of CSR in the long term. Therefore, the assessment of CSR should consider both the static and dynamic aspects of a company. In addition, the research provides the focus of different types of forestry enterprises in fulfilling CSR in the long term, and provides a clearer information path for the standard identification and normative constraints of different types of forestry enterprises CSR.


Author(s):  
Philip Keye ◽  
Thabo Lapp ◽  
Daniel Böhringer ◽  
Sonja Heinzelmann ◽  
Philip Maier ◽  
...  

Abstract Background Immune-mediated corneal graft rejection (IR) is a leading cause of corneal graft failure. The endothelium, stroma, epithelium, or a combination can be affected. Little is known about the long-term outcomes of different types of IR. Methods We reviewed the medical records of all keratoplasties that had been performed at our eye centre between 2003 and 2016 (n = 3934) for any kind of IR that occurred between the surgery and 2019. All patients with a definite diagnosis of IR and sufficient clinical data were included in the analysis. IRs were grouped according to the affected part of the graft (endothelial, stromal, epithelial, and mixed). We analysed the dynamics of recovery and the clinical outcomes. Results We identified a total of 319 patients with IR. Twenty-seven of those were lost to follow-up and were excluded from further analysis. Of the IRs, 89% affected the endothelium. Endothelial IR resulted more frequently in a considerable loss of endothelial cell density than other forms of IR. Stromal IR showed a lower relapse rate and a better visual recovery than other types of IR and resulted less often in a failure of the graft. Conclusions We herein report comprehensive data about the prognosis regarding functional recovery after different types of IR following keratoplasty. Our data underline that timely recognition and correct classification of IR are important because they determine the clinical course and prognosis.


2020 ◽  
pp. 52-60
Author(s):  
Natalya Lytnyeva ◽  
Sergey Voronov ◽  
Natalia Kidanova

At present, the issues of economic security seem to be relevant both for the economic development of the state and for complex scientific research. A wide range of the vital activities of society includes indicators that reflect the potential threats that can be encountered by economic agents. The problem of economic security is now becoming increasingly important, and this in turn is caused by the rapid development of a diversified alternative economy that uses the latest achievements of scientific and technological progress. It is quite difficult to predict the development of the country’s economy in the long term when the current challenges and threats are not taken into account. That is why in the information age, where information technology is the main basis for conducting economic activity, and information security is one of the main directions of state development, while the state itself acts as an economic institution. Therefore, the development of the digital economy in Russia poses both opportunities and significant threats.


2017 ◽  
Vol 923 (5) ◽  
pp. 26-33
Author(s):  
D.S. Loginov ◽  
S.A. Krylov

At the present time, the common classification of geophysical maps is missing, which is a consequence of their long-term development of the geological mapping. The features of existing approaches to the definition of geophysical maps’ place among maps of natural phenomena and the limitations of existing lists of mapping themes were determined and identified in this article. New approaches to the classification of geophysical maps that take into account the completeness of their contents and the current state of geophysical mapping were offered. A new classification of geophysical maps was elaborated based on four criteria


Author(s):  
Ron Drori ◽  
Naama Berg ◽  
Avi Perevolotsky

This chapter presents a case study of the Israeli National Biodiversity Monitoring Program (IBM) that encompasses a diverse set of ecosystems. Israel is located at a crossroads of Africa, Asia, and Europe. It sits at the southeastern tip of the Mediterranean ecosystem, bordering the vast Saharo-Arabian desert belt to its south and connected via the Rift Valley to the heights of Southeast Asia and the dry tropical ecosystems of East Africa. This combination of geography and ecology provides habitats for a remarkably high number of species, but the high densities of Israel's population and its rapid development, intensive land use, and climatic change threaten this biodiversity. A key component of a strategy to conserve biodiversity is a monitoring program that can identify the current state and trends—stable, declining, or thriving—of biodiversity in a country. The case study discusses the goals and implementation of the IBM, with particular attention to the challenges of replication and repeatability in this long-term monitoring program.


Sensors ◽  
2018 ◽  
Vol 18 (9) ◽  
pp. 2743 ◽  
Author(s):  
Tanmay Verlekar ◽  
Luís Soares ◽  
Paulo Correia

Systemic disorders affecting an individual can cause gait impairments. Successful acquisition and evaluation of features representing such impairments make it possible to estimate the severity of those disorders, which is important information for monitoring patients’ health evolution. However, current state-of-the-art systems perform the acquisition and evaluation of these features in specially equipped laboratories, typically limiting the periodicity of evaluations. With the objective of making health monitoring easier and more accessible, this paper presents a system that performs automatic detection and classification of gait impairments, based on the acquisition and evaluation of biomechanical gait features using a single 2D video camera. The system relies on two different types of features to perform classification: (i) feet-related features, such as step length, step length symmetry, fraction of foot flat during stance phase, normalized step count, speed; and (ii) body-related features, such as the amount of movement while walking, center of gravity shifts and torso orientation. The proposed system uses a support vector machine to decide whether the observed gait is normal or if it belongs to one of three different impaired gait groups. Results show that the proposed system outperforms existing markerless 2D video-based systems, with a classification accuracy of 98.8%.


Author(s):  
Nesma Mahmoud Taher ◽  
Doaa Elzanfaly ◽  
Shaimaa Salama

Customer value segmentation helps retailers to understand different types of customers, develops long term relationship with them, and hence increases their value and loyalty. This study aims to evaluate the quality of customer value segmentation based on two methods of preprocessing the RFM attributes. K-means clustering algorithm is used for the customer value segmentation based on the scored RFM and the actual value of RFM. The quality of the clustering results is tested using the Sum of Squared Error (SSE). Results obtained show that using the actual value of RFM in customer segmentation reduces the clustering error (SSE) and enhances the accuracy of segmentation than using the scored RFM.


2020 ◽  
Vol 20 (1) ◽  
pp. 204-211
Author(s):  
Gulasel Shamshieva ◽  

This article gives a classification of securities. The investment activities and operations with securities of commercial banks, as well as the legal regulation of the activities of commercial banks in the securities market in Kyrgyzstan are examined. A review of the current state of the securities market in the Kyrgyz Republic is carried out. Volumes of debt securities are also presented. The volume of annual issue of securities for 3 years from 2017 to 2019, the volume of foreign investment in corporate securities is shown. During the review of the state of the securities market, it was concluded that commercial banks play a major role in the development of the securities market, acting as issuers, investors and intermediaries. A program for the development of the government securities market for both the medium and long term is proposed.


2019 ◽  
Vol 7 (3) ◽  
pp. 64 ◽  
Author(s):  
M. Esteban ◽  
José-Santos López-Gutiérrez ◽  
Vicente Negro

In recent years, the offshore wind industry has seen an important boost that is expected to continue in the coming years. In order for the offshore wind industry to achieve adequate development, it is essential to solve some existing uncertainties, some of which relate to foundations. These foundations are important for this type of project. As foundations represent approximately 35% of the total cost of an offshore wind project, it is essential that they receive special attention. There are different types of foundations that are used in the offshore wind industry. The most common types are steel monopiles, gravity-based structures (GBS), tripods, and jackets. However, there are some other types, such as suction caissons, tripiles, etc. For high water depths, the alternative to the previously mentioned foundations is the use of floating supports. Some offshore wind installations currently in operation have GBS-type foundations (also known as GBF: Gravity-based foundation). Although this typology has not been widely used until now, there is research that has highlighted its advantages over other types of foundation for both small and large water depth sites. There are no doubts over the importance of GBS. In fact, the offshore wind industry is trying to introduce improvements so as to turn GBF into a competitive foundation alternative, suitable for the widest ranges of water depth. The present article deals with GBS foundations. The article begins with the current state of the field, including not only the concepts of GBS constructed so far, but also other concepts that are in a less mature state of development. Furthermore, we also present a classification of this type of structure based on the GBS of offshore wind facilities that are currently in operation, as well as some reflections on future GBS alternatives.


2018 ◽  
Vol 19 (1) ◽  
pp. 138-153 ◽  
Author(s):  
Petra DOŠENOVIĆ BONČA ◽  
Maks TAJNIKAR ◽  
Nina PONIKVAR ◽  
Barbara MÖREC

The paper investigates the role and impact of different groups of firms according to their growth type on macroeconomic aggregates at various stages of the economic cycle based on the entire population of firms in Slovenia. The applied classification of growing and fast-growing firms is based on microeconomic theory. Results exhibit that despite larger year-to-year fluctuations, firms with growth towards their long-term equilibrium contributed most to macroeconomic aggregates, i.e. employment, capital and sales, especially in times of economic prosperity. Firms with growth that shifts them closer to their short-term equilibrium proved to be more important primarily for assuring employment stability. Furthermore, we show that using single growth measures prevents us from identifying all growing firms and capturing the true contribution of particular growth groups of firms to studied macroeconomic aggregates. The paper provides both theoretical and empirical information for managers for designing different types of firm growth and enables policy makers to adopt adequate industrial policy measures.


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