DNA sequence, containing all genetic traits is not a functional entity. Instead, it transfers to protein sequences by transcription and translation processes. This protein sequence takes on a 3D structure later, which is a functional unit and can manage biological interactions using the information encoded in DNA. Every life process one can figure is undertaken by proteins with specific functio...

The extraction of semantic propositions has proven instrumental in applications like IBM Watson (Ferrucci, 2012) and in Google’s knowledge graph (Singhal, 2012). One of the core components of IBM Watson is the PRISMATIC knowledge base consisting of one billion propositions extracted from the English version of Wikipedia and the New York Times (Fan et al., 2010). However, extracting the proposit...

The vast majority of problems faced by bioinformatics are very complex and time consuming. They require the use of modern high-performance computational systems and the development of algorithms for such system. Heterogeneous computing systems which include graphics processing unit (GPU) occupy a separate niche. Such systems allow to accelerate solving of some task significantly. The task perfo...

Reducing energy consumption in cloud data center is a complex task, where both computation and network related effects must be taken into account. While existing solutions aim to reduce energy consumption considering separately computational and communication contributions, limited attention has been devoted to models integrating both parts. We claim that this lack leads to a sub-optimal manage...

The paper describes research in computer-aided design of mechanical systems using configuration spaces. The research addresses the core design task of rigid-body contact analysis and related tasks. Contact analysis is a computational bottleneck in mechanical design, especially in systems with complex part shapes, tight fits, and contact changes. Manual analysis is error-prone and time-consuming...

Conditional random fields (CRFs) have been successfully applied to various applications of predicting and labeling structured data, such as natural language tagging & parsing, image segmentation & object recognition, and protein secondary structure prediction. The key advantages of CRFs are the ability to encode a variety of overlapping, non-independent features from empirical data as well as t...

This paper is about structuring an object recognition task for finely controlling computational costs. The motivating problem comes from 3D scans with many identical objects, from which the pose of the objects must be recovered as accurately as possible with a given computational budget. This paper presents a method for detecting such objects which allows control over the amount of computation ...

The design of an electrical machine can be quantified and evaluated by Key Performance Indicators (KPIs) such as maximum torque, critical field strength, costs active parts, sound power, etc. Generally, cross-domain tool-chains are used to optimize all the KPIs from different domains (multi-objective optimization) varying given input parameters in largest possible space. This optimization proce...

In complex machine learning models, it is often time-consuming and difficult for practitioners to see the intermediate computational sets that lead to the model’s solution. We present GameNetViz as system for visualising the intermediate computation sets in a complex behavioural game theory model. It leverages off a particularly useful property of the domain: the model repeatedly transforms sma...

Task assignment problem (TAP) involves assigning a number of tasks to a number of processors in distributed computing systems and its objective is to minimize the sum of the total execution and communication costs, subject to all of the resource constraints. TAP is a combinatorial optimization problem and NP-complete. This paper proposes a hybrid meta-heuristic algorithm for solving TAP in a ...