Search results for "Intelligence"

The influence of the cycloid disc bearing type on the cycloidal speed reducer efficiency

2021

The robotics industry has experienced a rapid expansion in the last decade. As a result, the market of speed reducers with high gear ratios, high precision and a compact design is growing rapidly. In addition to these characteristics, it is very important for gear trains to have high efficiency. Because of their compact design, cycloidal speed reducers are not exposed to axial forces, which is their important characteristic. This means that radial bearings can be used in their supports. The bearing type has significant effects not only on the design and dimensions of the cycloid speed reducer but also on its efficiency. In this paper, an analysis of power losses for different types of rolli…

Decoding Children's Social Behavior

2013

We introduce a new problem domain for activity recognition: the analysis of children's social and communicative behaviors based on video and audio data. We specifically target interactions between children aged 1-2 years and an adult. Such interactions arise naturally in the diagnosis and treatment of developmental disorders such as autism. We introduce a new publicly-available dataset containing over 160 sessions of a 3-5 minute child-adult interaction. In each session, the adult examiner followed a semi-structured play interaction protocol which was designed to elicit a broad range of social behaviors. We identify the key technical challenges in analyzing these behaviors, and describe met…

Feature creation as a byproduct of attentional processing

1998

Attributing the creation of new features to categorization requirements implies that the exemplars displayed are correctly assigned to their category. This constraint limits the scope of Schyns et al.'s proposal to supervised learning. We present data suggesting that this constraint is unwarranted and we argue that feature creation is better thought of as a byproduct of the attentional, on-line processing of incoming information.

On Modern Matrix Iteration Processes of Bernoulli and Graeffe Type

1958

Business Artificial Intelligence

2021

Nuestros medios de entretenimiento y de compra, teléfonos inteligentes y demás dispositivos, todo genera datos. En 2021, solo un minuto en Internet representaba 200.000 tweets, dos millones de visualizaciones en Twitch, 197 millones de correos electrónicos y 69 millones de mensajes de texto, y 1,6 millones de dólares en gastos de compras online. Este fenómeno, conocido como Big Data, comprende los datos que comparten las 3 V: volumen, velocidad y variedad. Sin embargo, la riqueza de información conlleva una pobreza de atención por nuestra parte, y desafía nuestra capacidad para concentrarnos en datos de diferentes fuentes al mismo tiempo, lo que vuelve necesario plantear sistemas automático…

A comparison of HDFS compact data formats: Avro versus Parquet

2017

In this paper, file formats like Avro and Parquet are compared with text formats to evaluate the performance of the data queries. Different data query patterns have been evaluated. Cloudera’s open-source Apache Hadoop distribution CDH 5.4 has been chosen for the experiments presented in this article. The results show that compact data formats (Avro and Parquet) take up less storage space when compared with plain text data formats because of binary data format and compression advantage. Furthermore, data queries from the column based data format Parquet are faster when compared with text data formats and Avro. Article in English. HDFS glaustųjų duomenų formatų palyginimas: Avro prieš Parquet…

The Datafication of Hate: Expectations and Challenges in Automated Hate Speech Monitoring.

2020

Laaksonen, S-M.; Haapoja, J.; Kinnunen, T., Nelimarkka, M. & Pöyhtäri, R. (2020, accepted). . Frontiers in Big Data: Data Mining and Management / Critical Data and Algorithm Studies. doi:10.3389/fdata.2020.00003 Hate speech has been identified as a pressing problem in society and several automated approaches have been designed to detect and prevent it. This paper reports and reflects upon an action research setting consisting of multi-organizational collaboration conducted during Finnish municipal elections in 2017, wherein a technical infrastructure was designed to automatically monitor candidates' social media updates for hate speech. The setting allowed us to engage in a 2-fold investiga…

FASTA/Q data compressors for MapReduce-Hadoop genomics: space and time savings made easy

2021

Abstract Background Storage of genomic data is a major cost for the Life Sciences, effectively addressed via specialized data compression methods. For the same reasons of abundance in data production, the use of Big Data technologies is seen as the future for genomic data storage and processing, with MapReduce-Hadoop as leaders. Somewhat surprisingly, none of the specialized FASTA/Q compressors is available within Hadoop. Indeed, their deployment there is not exactly immediate. Such a State of the Art is problematic. Results We provide major advances in two different directions. Methodologically, we propose two general methods, with the corresponding software, that make very easy to deploy …

SOCIAL NETWORKS, BIG DATA AND TRANSPORT PLANNING

2016

[EN] The characteristics of people who are related or tied to each individual affects her activity-travel behavior. That influence is especially associated to social and recreational activities, which are increasingly important. Collecting high quality data from those social networks is very difficult using traditional travel surveys, because respondents are asked about their general social life, which is most demanding to remember that specific facts. On the other hand, currently there are different potential sources of transport data, which is characterized by the huge amount of information available, the velocity with it is obtained and the variety of format in which is presented. This s…

Proposed use of a conversational agent for patient empowerment

2021

Empowerment is a process through which people acquire the necessary knowledge and self-awareness to understand their conditions and treatment options, make informed choices and self-manage their health conditions in daily life, in collaboration with medical professionals. Conversational Agents in healthcare could play an important role in the process of empowering a person but, so far, they have been seldom been used for this purpose. This paper presents the basic principles and preliminary implementation of a conversational health agent for patient empowerment. It dialogues with the user in a "natural" way, collects health data from heterogeneous sources and provides the user wit…