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Karl Aberer

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Publications associées (297)

DRSim: A Cyber Physical Simulator for Demand Response Systems

Karl Aberer, Dipanjan Chakraborty, Tri Kurniawan Wijaya

Demand Response (DR) is a mechanism in which electricity consumers alter their demand in response to power grid’s supply and economic conditions. DR programs have the potential to improve resource efficiency, sustainability, grid reliability and economic v ...

2013

Mobile observatory: an exploratory study of mobile air quality monitoring application

Karl Aberer, Julien Eberle, Yongsung Kim, Erol Can Ün, Riikka Maria Vilhelmiina Hänninen

We present Mobile Observatory, a mobile air quality monitoring application that provides evaluation of air quality of the city of Zurich, Switzerland. As Mobile Observatory utilizes air quality data gathered by sensors mounted on around 10 trams in Zurich, ...

ACM Press2013

An MAS Negotiation Support Tool for Schema Matching

Karl Aberer, Quoc Viet Hung Nguyen, Zoltán Miklós, Hoai Xuan Luong

Database schema matching is the process of establishing correspondences between attributes of schemas for data integration purpose. Though various commercial tools have been developed, their results are inherently uncertain. In practice, to obtain correct ...

2013

TripEneer: User-based Travel Plan Recommendation Application

Karl Aberer, Surender Reddy Yerva, Flavia Adelina Grosan, Alexandru Octavian Tandrau

Current travel recommendation systems are helpful in addressing a traveler's information needs to certain extent, however, most of them fail to factor in the user in their recommendations. TripEneer proposes travel recommendations to a traveler by keeping ...

2013

Defending Imitating Attacks in Web Credibility Evaluation Systems

Karl Aberer, Xin Liu

2013

Model-View Sensor Data Management in the Cloud

Karl Aberer, Tian Guo

Infinite nature of sensor data poses a serious challenge for query processing even in a cloud infrastructure. Model-based sensor data approximation reduces the amount of data for query processing, but all modeled segments need to be scanned, in the worst c ...

IEEE2013

Collaborative Schema Matching Reconciliation

Karl Aberer, Zoltán Miklós

Schema matching is the process of establishing correspondences between the attributes of database schemas for data integration purpose. Although several schema matching tools have been developed, their results are often incomplete or erroneous. To obtain c ...

Springer-Verlag Berlin2013

Minimizing Human Effort in Reconciling Match Networks

Karl Aberer, Quoc Viet Hung Nguyen, Zoltán Miklós, Tri Kurniawan Wijaya

Schema and ontology matching is a process of establishing correspondences between schema attributes and ontology concepts, for the purpose of data integration. Various commercial and academic tools have been developed to support this task. These tools prov ...

2013

CredibleWeb: A Platform for Web Credibility Evaluation

Karl Aberer, Alexandra Olteanu, Zhicong Huang

2013

Matching Demand with Supply in the Smart Grid using Agent-Based Multiunit Auction

Karl Aberer, Tri Kurniawan Wijaya

Recent work has suggested reducing electricity generation cost by cutting the peak to average ratio (PAR) without reducing the total amount of the loads. However, most of these proposals rely on consumer's willingness to act. In this paper, we propose an a ...

IEEE2013

Sustainable Energy Consumption Monitoring in Residential Settings

Karl Aberer, Dipanjan Chakraborty

The continuous growth of energy needs and the fact that unpredictable energy demand is mostly served by unsustainable (i.e. fossil-fuel) power generators have given rise to the development of Demand Response (DR) mechanisms for flattening energy demand. Bu ...

Ieee2013

Effective Consumption Scheduling for Demand-Side Management in the Smart Grid using Non-Uniform Participation Rate

Karl Aberer, Tri Kurniawan Wijaya, Xin Liu

Periods of peak consumer demand in today’s electricity sector are expensive to satisfy and can be the source of power failures. One possible solution is the use of demand-side management (DSM) applying dynamic pricing mechanisms. However, instead of reduci ...

2013

ExposureSense: Integrating Daily Activities with Air Quality using Mobile Participatory Sensing

Karl Aberer, Julien Eberle, Zhixian Yan, Dragan Stojanovic

With an increasing number of rich embedded sensors, like accelerometer and GPS, smartphone becomes a pervasive people-centric sensing platform for inferring user’s daily activities and social contexts. Alternatively, wireless sensor network offers a compre ...

2013

BATC - A Benchmark for Aggregation Techniques in Crowdsourcing

Karl Aberer, Quoc Viet Hung Nguyen, Thành Tâm Nguyên, Son Thanh Do, Ngoc Tran Lam

As the volumes of AI problems involving human knowledge are likely to soar, crowdsourcing has become essential in a wide range of world-wide-web applications. One of the biggest challenges of crowdsourcing is aggregating the answers collected from crowd wo ...

ACM2013

A model-based back-end for air quality data management

Karl Aberer, Julien Eberle, Yongsung Kim, Erol Can Ün

In this paper we present a hybrid model for real-time query processing over data stream collected by mobile air quality sensors. First, we introduce a novel indexing scheme for representing air quality and use it for generating and evaluating a static mode ...

ACM Press2013

SoCo: A Social Network Aided Context-Aware Recommender System

Karl Aberer, Xin Liu

2013

Symbolic Representation of Smart Meter Data

Karl Aberer, Julien Eberle, Tri Kurniawan Wijaya

Currently smart meter data analytics has received enormous attention because it allows utility companies to analyze customer consumption behavior in real time. However, the amount of data generated by these sensors is very large. As a result, analytics per ...

ACM2013

Semantic trajectories: Mobility data computation and annotation

Stefano Spaccapietra, Christine Parent, Karl Aberer, Zhixian Yan, Dipanjan Chakraborty

With the large-scale adoption of GPS equipped mobile sensing devices, positional data generated by moving objects (e.g., vehicles, people, animals) are being easily collected. Such data are typically modeled as streams of spatio-temporal (x,y,t) points, ca ...

2013

Electricity Load Forecasting for Residential Customers: Exploiting Aggregation and Correlation between Households

Karl Aberer, Tri Kurniawan Wijaya, Samuel François Roger Joseph Humeau, Matteo Vasirani

The recent development of smart meters has allowed the analysis of household electricity consumption in real time. Predicting electricity consumption at such very low scales should help to increase the efficiency of distribution networks and energy pricing ...

IEEE2013

A FFINITY: Efficiently Querying Statistical Measures on Time-Series Data

Karl Aberer, Saket Sathe

Computing statistical measures for large databases of time series is a fundamental primitive for querying and mining time-series data [1]–[6]. This primitive is gaining importance with the increasing number and rapid growth of time series databases. In thi ...

IEEE2013

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