Miracle-dz/UniFAR-FTUs huggingface dataset:
On the 3D point cloud for human-pose estimation

Chan, Kai-Chi Ph.D., Purdue University, May 2016. On the 3D Point Cloud for HumanPose Estimation. Major Professors: Cheng-Kok Koh and C. S. George Lee. This thesis aims at investigating methodologies for estimating a human pose from a 3D point cloud that is captured by a static depth sensor. Human-pose estimation (HPE) is important for a range of applications, such as human-robot interaction, healthcare, surveillance, and so forth. Yet, HPE is challenging because of the uncertainty in sensor measurements and the complexity of human poses. In this research, we focus on addressing challenges related to two crucial components in the estimation process, namely, humanpose feature extraction and human-pose modeling. In feature extraction, the main challenge involves reducing feature ambiguity. We propose a 3D-point-cloud feature called viewpoint and shape feature histogram (VISH) to reduce feature ambiguity by capturing geometric properties of the 3D point cloud of a human. The feature extraction consists of three steps: 3D-point-cloud pre-processing, hierarchical structuring, and feature extraction. In the pre-processing step, 3D points corresponding to a human are extracted and outliers from the environment are removed to retain the 3D points of interest. This step is important because it allows us to reduce the number of 3D points by keeping only those points that correspond to the human body for further processing. In the hierarchical structuring, the pre-processed 3D point cloud is partitioned and replicated into a tree structure as nodes. Viewpoint feature histogram (VFH) and shape features are extracted from each node in the tree to provide a descriptor to represent each node. As the features are obtained based on histograms, coarse-level details are highlighted in large regions and fine-level details are highlighted in small regions. Therefore, the features from the point cloud in the tree can capture coarse level to fine level information to reduce feature ambiguity.
Research and Development of Application Intrusion Detection

Traditional network-based intrusion detection system and host-based intrusion detection system are not enough, which make researches of application intrusion detection get attentions. The paper summaries the status and development of application intrusion detection,and points out the difficulties of research and the existing problems that need be solved. Finally, then future direction in this field is analyzed and discussed.
The Influence of Information Asymmetry of Telecommunication Service Websites on Intention for Continuous Usage

The communications market can be characterized for its overflow of users, oligopoly business structure, 24/7 open service, incomplete sales, and operation of core platform function. These characteristics have lead users to continuously make complaints and suffer inconveniences, and thus the concept of user protection has come to receive attention. This study aims to propose solutions through communication channeling between businesses and users, based on website construction from the viewpoint of user protection. In particular, a research model was developed to display how the information symmetry of websites can be influential on the satisfaction, reliability, and continuous intention for using communication services. Total of 14 hypotheses were set to measure a significant degree of variables corelation and eight hypotheses were accepted finally. The analysis results showed that information symmetry of telecommunication service websites had a positive effect on intention for continuous usage. Through the research results, it is expected that communication service businesses will be able to consider important factors when constructing websites. Furthermore, the results are expected to be utilized as for ensuring users` continued usage of their communication services.
Improving the Relevance of Search Results: Search-term Disambiguation and Ontological Filtering

Synonymy & polysemy of natural languages together with information overload are two main factors that affect the relevance of Web hits. When users submit a query, search engines usually return a long list of hits with syntactic similarity. Users are confronted with choosing a needle from a haystack ? relevant items from long lists of hits. This book proposes an improved strategy for increasing the relevance of Web search results via search term disambiguation and ontological filtering. Results are classified into an ontology, such as Open Directory Project. Semantic characteristics of ontology categories are represented by a category-document and similarities of this and search results are evaluated using a Vector Space Model. Users choose a category to obtain only the search results classified under the selected category. Experimental data show the approach boosts the Web hits precision by more than 20%. The book should help shed some light on Web searching and word sense disambiguation, and should be useful to students and researchers in the fields of information retrieval, text classification, and data mining; or anyone else interested in Web searching.
Digitalisierung der Lehre? – Begleitende Bedarfsanalyse zur Implementierung von Vorlesungsaufzeichnungen in der tiermedizinischen Ausbildung

Zusammenfassung Gegenstand und Ziel Diese Studie wurde im Rahmen der Einführung von Vorlesungsaufzeichnungen an der Stiftung Tierärztliche Hochschule Hannover (TiHo) durchgeführt, um die Akzeptanz und speziellen Anforderungen von Dozierenden und Studierenden an Vorlesungsaufzeichnungen zu erheben. Material und Methoden Die Datenerhebung erfolgte mithilfe von Fragebögen und leitfadengestützten Fokusgruppenbefragungen mit Studierenden und Dozierenden der TiHo. Ergebnisse Dozierende der TiHo sind trotz Skepsis bereit, ihre Vorlesungen aufzeichnen zu lassen und präferieren die Option, den Studierenden eine Kurzversion zur Verfügung zu stellen. Alle befragten Fokusgruppen nannten ähnliche Anforderungen an Vorlesungsaufzeichnungen, beispielsweise Möglichkeiten zur Aktualisierung und Bearbeitung. Studierende wünschen sich den Ausbau des Angebots an Vorlesungsaufzeichnungen in der Tiermedizin, während die Dozierenden den Wunsch nach Unterstützungsmaßnahmen wie Anleitungen und Schulungen äußerten. Schlussfolgerung Die Studie wird zur Optimierung der Vorlesungsaufzeichnungen für Studierende und Dozierende der Tiermedizin beitragen und das Angebot an Vorlesungsaufzeichnungen lässt sich an die genannten Anforderungen anpassen. Erste zuvor skeptische eingestellte Dozierende konnten bereits gewonnen und überzeugt werden, Aufzeichnungen durchzuführen. Der Einsatz mobiler Technik ermöglicht den Ausbau des Angebots. Mit der Fortführung der Digitalisierung der Lehre kann die tiermedizinische Hochschuldidaktik weiter bereichert werden.
Structure and Cluster Analysis on Micro-Blog User’s Relationship Networks

This paper discussed the characteristics of user’s relationship networks on the individual micro-blog.We tracked the data of individual micro-blog from registering to a certain stabilization period,extracted representative data on the three time points,built three complex networks.We measured the properties of the networks on the different three time points,and found the changes of users'behavior and influence.The paper used K-means clustering algorithm to analyze the characteristics of users.From the purpose of using micro-blog perspective,K-means clustering classified the users into three types(ordinary social type,personal interest type,information dissemination type). Thus,by optimizing the algorithm and using the result of clustering,service providers can reduce unnecessary recommendations of pages and application to meet the needs of users so as to acquire commercial value.
Dynamic Output Feedback Control for Networked Predictive Control Systems with Uncertainties

The paper studies the application of a prediction-based scheme for dynamic output feedback control in a networked control system with uncertainties, communication delay and data dropout. In order to make a compensation for communication delay and data dropout, a prediction-based output control scheme is developed. With the given theoretical derivation, the closed-loop networked predictive control system with uncertainties can be formulated into a robust system with a standard form, which makes it convenient to design the controller and analysis closed-loop stability. Simulation examples demonstrate the performance and stability of a networked control system using the proposed predictive output control scheme.
Detecting Polarizing Language in Twitter using Topic Models and ML Algorithms

The upsurge in the use of social media in public discourses has made it possible for social scientists to engage in emerging and interesting areas of research. Normally, public debates tend to assume polar positions along political, social or ideological lines. Generally, polarity in the language used is more of blaming the opposing group in such debates. In this paper, we investigated the detection of polarizing language in tweets in the event of a disaster. Our approach entails combining topic modeling and Machine Learning (ML) algorithms to generate topics that we consider to be polarized thereby classifying a given tweet as polar or not. Our latent Dirichlet allocation (LDA)-based model incorporates external resources in the form of a lexicon of blame-oriented words to induce the generation of polar topics. The Collapsed Gibbs sampling is used to infer new documents and to estimate the values of parameters employed in our model. We computed the log likelihood (LL) ratios using our model and two other state-of-the-art LDA-based models for evaluation. Furthermore, we compared polarized detection classification accuracy using the features extracted from polarized topics, bag of words (BOW) and part of speech (POS)-based features. Preliminary experiments returned higher overall accuracy results of 87.67% using topic-based features compared to BOW and POS-based features.
Bank loan loss accounting and its contracting effects: the new expected loss models

As a result of the recent financial crisis, several key institutions urged the IASB and the FASB to re-evaluate their models for loan loss accounting and use more forward-looking information. The paper examines the principal features of the new expected loss approach, taking into account the tensions between accounting and prudential objectives with respect to credit losses. We discuss the rationales for the change introduced by IFRS 9 and explore the differences between the IASB and the FASB models. Based on the notions of accounting conservatism and earnings management, we discuss the potential consequences of the new models. While both the FASB and the IASB model are more conservative than the incurred loss approach, each portrays a different type of conservatism, whose ability to provide information will depend on the bank’s business model. We also argue that the differences in business models that prevail in different jurisdictions might help to explain the existence of two expected loss models. Besides, we identify new avenues for further research within the financial sector.
Adaptive accelerated routing between data centers based on the paired shifts data

Virtualization of network infrastructure or its part by data centers (DC) provides flexible management of network topology and functions in real time. This method allows to get rid of the excess costs of expensive equipment and network service. Approaches to the development of engineering infrastructure of DC are changed followed the changes in the IT services model, the growth of computing power and increasing requirements for energy efficiency. In this work we propose adaptive accelerated routing (AAR) algorithm between DC based on the paired shifts data.
Geometrical Optics And Optical Design

Thank you for downloading geometrical optics and optical design. As you may know, people have search numerous times for their chosen readings like this geometrical optics and optical design, but end up in malicious downloads. Rather than enjoying a good book with a cup of tea in the afternoon, instead they are facing with some infectious bugs inside their computer. geometrical optics and optical design is available in our book collection an online access to it is set as public so you can download it instantly. Our digital library saves in multiple countries, allowing you to get the most less latency time to download any of our books like this one. Merely said, the geometrical optics and optical design is universally compatible with any devices to read.
The Effect of Shopping Life Style and Positive Emotion on Buying Impulse (Case Study of the Palembang City Hypermarket)

This study aims to determine: (1) the effect of Shopping Life Style on impulse buying on customersat Palembang City Hypermarket, (2) the effect of positive emotions on Impulse buying on customers atPalembang City Hypermarket, (3) the effect of Shopping Life Style and positive emotions impulse buying forcustomers at the Palembang City Hypermarket. This study uses primary data obtained by survey methods bydistributing questionnaires that have been tested for validity and reliability. The population in this studywere customers at the Palembang City Hypermarket. The sampling technique used purposive samplingmethod with a total sample of 150 people. The data analysis technique used is path analysis. ShoppingLifeStyle has a significant effect on the Hypermarket impulse buying in Palembang. Positive emotions have asignificant effect on Impulse Buying at Hypermarket consumers in Palembang.
Angle of View

с 1712 по 1930 г. Исследование носит междисциплинарный характер, осве-щается как памятник архитектуры и культуры. Весьма заметно выделяются культурологический профинанси-The author depicted the life and activity of the priors during 155 years in the form of a reconstructed history of these dynasties. Eventually E. S. Bushueva represents a total picture of the historical process on the micro level, which is discovered in the context of extensional approach. Altogether Nerchinsk Church of Dormition of the Blessed Virgin is soundly appraised as outstanding historical heritage, demanded inherently it the rebirth.
Firm performance and economic crisis: Family versus non-family businesses in Italy

This study investigates the performance of medium-sized family businesses – hereafter MSFBs – during the economic recession by comparing family and non-family firms, and correlating the organisational performance to the family ownership and firms’ solvency. An empirical research study was carried out on a sample of 128 Italian medium-sized businesses – hereafter MSBs - (76 family and 52 non-family businesses). We used the AIDA – Bureau van Dijk database to collect data referring to three years 2007, 2009 and 2014, respectively corresponding to the pre-crisis phase – 2007, the great recession – 2009, and the post-crisis phase – 2014. STATA software was used for analysing data and the analysis was organised into three steps. First, we collected the descriptive statistics. Then, we used a t-test to determine if businesses’ performance and solvency significantly differ in family and non-family businesses subgroups. In the last step, we performed a regression analysis to examine the relationship between firms’ profitability (dependent variable) and family ownership and solvency (independent variables). Contrary to previous research, we found that MSFBs performed worse at each stage of the crisis, especially during the harshest phase of the crisis. Results also show that family ownership negatively affected businesses’ profitability. On the contrary, solvency positively affected firms’ profitability at each stage of the crisis. Finally, we analysed and discussed a model case study, to better understand financial and economic dynamics of family firms during the analysed period. Although family firms’ performance during the recession period has been widely studied, they generally referred to large companies. Analyses haven’t considered MSBs, even if in recent years they have played an important role in several economic systems and show some distinctive features that can significantly differentiate them from large companies. The main contribution this study brings to the literature is investigating family business performance during a downturn, paying attention to MSBs. Key words: Family business, medium-sized enterprises, performance, solvency, economic crisis.
Basic Security System requirements for IoT-based Smart City Network-layer

Uno de los tópicos emergente de socio técnico basado en tecnología de Internet de las cosas (IoT) se llama ciudades inteligentes. Una cuidad inteligente es una colección de objetos y entidades en una área socio técnico urbana que sus componentes siempre están en línea conectado y auto servido. En este articulo se considera que una ciudad inteligente consiste en varios módulos que se necesita constantemente monitoreados para detectar las brechas de seguridad para bajar los factores de riesgo a las personas. Este trabajo provee una explicación breve acerca de los problemas de seguridad en diferentes capas de una estructura de IoT. Un marco teórico basado en componentes de la capa de redes en ciudades inteligentes esta desarrollado en este trabajo. Al final, depende de diferentes ataques internos e externos una lista de requerimientos de sistema se presenta en detalles.
Providing Efficient Services for Smartphone Applications

Mobile applications are becoming an indispensable part of people's lives, as they allow access to a broad range of services when users are on the go. We present our efforts towards enabling efficient mobile applications in smartphones. Our goal is to improve efficiency of the underlying services, which provide essential functionality to smartphone applications. In particular, we are interested in three fundamental services in smartphones: wireless communication service, power management service, and location reporting service. For the wireless communication service, we focus on improving spectrum utilization efficiency for cognitive radio communications. We propose ETCH, a set of channel hopping based MAC layer protocols for communication rendezvous in cognitive radio communications. ETCH can fully utilize spectrum diversity in communication rendezvous by allowing all the rendezvous channels to be utilized at the same time. For the power management service, we improve its efficiency from three different angles. The first angle is to reduce energy consumption of WiFi communications. We propose HoWiES, a system for WiFi energy saving by utilizing low-power ZigBee radio. The second angle is to reduce energy consumption of web based smartphone applications. We propose CacheKeeper, which is a system-wide web caching service to eliminate unnecessary energy consumption caused by imperfect web caching in many smartphone applications. The third angle is from the perspective of smartphone CPUs. We found that existing CPU power models are ill-suited for modern multicore smartphone CPUs. We present a new approach of CPU power modeling for smartphones. This approach takes CPU idle power states into consideration, and can significantly improve power estimation accuracy and stability for multicore smartphones. For the location reporting service, we aim to design an efficient location proof solution for mobile location based applications. We propose VProof, a lightweight and privacy-preserving location proof scheme that allows users to construct location proofs by simply extracting unforgeable information from the received packets.
Competitiveness, Economic Legacy and Tourism Impacts: World Cup

Los impactos del legado turístico son un importante motivo para los países acoger un mega evento. Estos eventos generan legados a corto, mediano y largo plazo en la imagen de destino, así como a nivel económico y sociocultural. El objetivo del artículo fue mostrar la evolución a corto plazo de los indicadores de legado económico de mega eventos deportivos considerando dos años antes y dos años después de cada evento. A través de un análisis exploratorio se verificó el nivel de empleo turístico, la inversión total y el PIB turístico de los países que acogieron las últimas tres Copas Mundiales de la FIFA. Además, se analizó las fortalezas competitivas del país en el año en que ocurrió el mega evento en base a los pilares del Índice de Competitividad Turística y de Viaje (TTCI). Este análisis explicativo y descriptivo está basado en datos secundarios. La revisión de la literatura señala la infraestructura como el pilar competitivo central para un país recibir un mega evento deportivo. Sin embargo, los resultados no indicaron este punto como una fortaleza en los últimos países elegidos. Además, el legado económico aumentó después del mega evento deportivo, pero no en todos los hosts analizados. Por lo tanto, la asunción de los efectos positivos generados por los mega eventos deportivos no se consolida y así se recomienda investigaciones futuras bajo la perspectiva del legado para establecer indicadores y análisis sobre el impacto en el país anfitrión generado por un mega evento.
Internet Popular Topics Extraction of Traffic Content Words Correlation

Aiming at the requirements of network public feeling analysis,the formal definition and description of the popular topic on Internet is presented,the relationship between hot words and popular topics is analyzed,and finally a hotpoint words correlation computing approach for extracting popular topics on Internet is introduced in traffic contents.Based on that,DBSCAN(Density-Based Spatical Clustering of Application with Noise) clustering algorithm is adopted to extract popular topics and formalized results are given.The test results show that this method has an availability of 16.7% in extracting Internet popular topics,which,compared to web mining and TDT(Topic Detection and Tracking),can provide a more suitable data source for effective recovery of Internet public opinions.
Techniques for evaluating the nodal survivability of large networks

The decomposition process used to compute the node correcting factor (NCF) of a network (which requires long computation times and large memories) severely limits the physical size of the networks that can be evaluated. A technique for estimating, within a relatively short period of time, the NCF for large networks is described. This technique, known as the incremental NCF, evaluates the node survivability of a network without having to generate the entire decomposition diagram. A strategy for gathering incremental NCF values, which samples selected portions of the decomposition diagram and uses those samples to estimate the network's node survivability is also described, and an example of the application of the concept is discussed. <<ETX>>
Some Key Issues of Synchrophasor Measurement

Some key issues of synchrophasor measurement are discussed in detail. First, the definition of phasor in the presence of frequency offset and the requirement on the time tag of data resynchronization are elaborated. Then, the limitations of the adaptive sampling interval technique are analyzed by taking into account the requirement for high frequency resynchronization. Based on the fixed sampling interval technique, an improved phasor computing algorithm is proposed to correct the errors caused by DFT in the presence of frequency offset. An examination method for testing the precision of phase measurement is put forward, by which the performance of the PMU using the improved phasor-tracking algorithm is verified. Finally, the dynamic performance of the DFT-based algorithm and its applicability in transient stability control are analyzed by simulation.