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Aiming at solving the problems of low success rate and weak robustness of object tracking algorithms based on siamese network in complex scenes with occlusion, deformation, and rotation, a siamese network object tracking algorithm with attention network and adaptive loss function (SiamANAL) is proposed. Firstly, the multi-layer feature fusion module for template branch (MFFMT) and the multi-layer feature fusion module for search branch (MFFMS) are designed. The modified convolutional neural networks (CNN) are used for feature extraction through the fusion module to solve the problem of features loss caused by too deep network. |
This book is open access under a CC BY-NC-ND license. This volume analyzes the economic, social, and political challenges that emerging states confront today. Notwithstanding the growing importance of the ‘emerging states’ in global affairs and governance, many problems requiring immediate solutions have emerged at home largely as a consequence of the rapid economic development and associated sociopolitical changes. The middle-income trap is a major economic challenge faced by emerging states. This volume regards interest coordination for technological upgrading as crucial to avoid the trap and examines how various emerging states are grappling with this challenge by fostering public-private cooperation, voluntary associations of market players, and/or social networks. Social dispar... |
Customer churn is a major issue for large enterprises. In particular, in the rental business sector, companies are looking for ways to retain their customers because they are their main source of revenue. The main contribution of our work is to analyze the customer behavior information of actual water purifier rental company, where customer churn occurs very frequently, and to develop and verify the churn prediction model. A machine learning algorithm was applied to a large-capacity operating dataset of rental care service in an electronics company in Korea, to learn meaningful features. To measure the performance of the model, the F-measure and area under curve (AUC) were adopted whereby an F1 value of 93% and an AUC of 88% were achieved. |
As we all know, we call problems of type (1.1) nonlocal problems because there is an integral over R2
. Such problems were first posed by G. Kirchhoff in [1] as an extension of the classical D’Alembert wave equation for free vibrations of elastic strings. |
In Basic Engineering Data Collection and Analysis, Stephen B. Vardeman and J. Marcus Jobe stress the practical over the theoretical. Step by step, students get real engineering data and scenario examples along with chapter-long case studies that illustrate concepts in realistic, thoroughly detailed situations. This approach encourages students to work through the material by carrying out data collection and analysis projects from problem formulation through the preparation of professional technical reports—just as if they were on the job. |
Native Peoples of North America is intended to be an introductory text about the Native peoples of North America (primarily the United States and Canada) presented from an anthropological perspective. As such, the text is organized around anthropological concepts such as language, kinship, marriage and family life, political and economic organization, food getting, spiritual and religious practices, and the arts. Prehistoric, historic and contemporary information is presented. Each chapter begins with an example from the oral tradition that reflects the theme of the chapter. The text includes suggested readings, videos, and classroom activities. |
A class of risk-neutral generalized Nash equilibrium problems is introduced in which the feasible strategy set of each player is subject to a common linear elliptic partial differential equation with random inputs. In addition, each player’s actions are taken from a bounded, closed, and convex set on the individual strategies and a bound constraint on the common state variable. Existence of Nash equilibria and first-order optimality conditions are derived by exploiting higher integrability and regularity of the random field state variables and a specially tailored constraint qualification for GNEPs with the assumed structure. |
The value-added tax (VAT) is meant to be an efficient and self-enforcing tax on consumption. Yet, being a rather sophisticated tax, the VAT can also be complex and costly to administer. By examining the case of Rwanda, this paper assesses the extent to which the VAT’s potential materialises in the context of a lower-income countries. Using a mixed-methods approach, which combines qualitative information from focus group discussions with the analysis of administrative and survey data, this paper makes two contributions. First, it documents reporting inconsistencies in VAT data, providing new evidence on how weak capacity prevents tax administrations in lower-income countries from reaping the full benefits of the VAT. |
Hearing loss is one of the most prevalent chronic health problems worldwide and a common intervention is the wearing of hearing aids. However, the tedious fitting procedures and limited hearing experts pose restrictions for the popularity of hearing aids. This paper introduced a hearing loss classification method based on the insertion gain of hearing aids, which aims to simplify the fitting procedure and achieve a fitting-free effect of the hearing aid, in line with current research trends in key algorithms for fitting-free hearing aids. The proposed method innovatively combines the insertion gain of hearing aids with the covariates of patient’s gender, age, wearing history to form a new set of hearing loss vectors, and then classifies the hearing loss into six categories by unsupe... |
Learn to light a candle in the darkest moments of someone’s life. Be the light that helps others see; it is what gives life its deepest significance. |
