This paper provides an optimized cable path planning solution for a tree-topology network in irregular 2D manifold 3D Euclidean space, with application to the of submarine networks. Our method is based on total cost minimization, where individual costs are assumed be linear length corresponding cables subject latency constraints between pairs nodes. These limit and number hops any pair combines...

AIM To evaluate the long-term efficacy of interstitial laser photocoagulation (ILP) in solitary benign thyroid nodules. DESIGN AND METHODS A total of 78 euthyroid outpatients (45 participating in randomized trials) with a benign solitary solid and scintigraphically cold thyroid nodule causing local discomfort were assigned to ILP. ILP (using one laser fiber) was performed under continuous ult...

AIM To evaluate the efficacy of ultrasound (US)-guided interstitial laser photocoagulation (ILP) on thyroid function, nodule size and patient satisfaction in benign solitary solid cold thyroid nodules by comparing one ILP session with no treatment in a prospective randomised study. MATERIALS AND METHODS Thirty euthyroid outpatients with a benign solitary solid and a scintigraphically cold thy...

This paper describes our approach to applying typeoriented inductive logic programming (ILP) to information extraction (IE) tasks and the latest experimental results in learning IE rules from the data generated from 100 newspaper articles. Information extraction involves extracting key information from text corpus in order to ll empty slots of given templates. A bottle neck in building IE syste...

The illusory letters phenomenon (ILP) is a unique demonstration that words can be perceived as complete even when letters are physically absent. However, the ILP has only ever been reported for a Latinate language (English), and it is unknown whether the illusion occurs for alphabetic languages with fundamentally different visual properties. Here we report a demonstration of the ILP for Arabic ...

Multi-relational rule mining is important for knowledge discovery in relational databases as it allows for discovery of patterns involving multiple relational tables. Inductive logic programming (ILP) techniques have had considerable success on a variety of multi-relational rule mining tasks, however, most ILP systems do not scale to very large datasets. In this paper we present two extensions ...

Evaluations of advantages of Probabilistic Inductive Logic Programming (PILP) against ILP have not been conducted from a computational learning theory point of view. We propose a PILP framework, projection-based PILP, in which many-to-one projection functions are used to produce a “lossy” compression dataset from an ILP dataset. We present sample complexity results including conditions when pro...

Inductive Logic Programming (ILP) has been shown to be a viable approach to many problems in multi-relational data mining (e.g. bioinformatics). Link discovery (LD) is an important task in data mining for counter-terrorism and is the focus of DARPA's program on Evidence Extraction and Link Discovery (EELD). Learning patterns for LD is a novel problem in relational data mining that is characteri...

Improvements over recent years in the performance of Integer Linear Programming (ILP) and Boolean Satisfiability (SAT) solvers have encouraged the modeling of complex engineering problems as ILP. An example is the Clustering Problem in Mobile Ad-Hoc Networks (MANETs). The Clustering Problem in MANETs consists of selecting the most suitable nodes of a given MANET topology as clusterheads, and en...

A nonlinear mathematical model was developed and experimentally validated to investigate the effects of changes in optical properties during interstitial laser photocoagulation (ILP). The effects of dynamic optical properties were calculated using the Arrhenius damage model, resulting in a nonlinear optothermal response. This response was experimentally validated by measuring the temperature ri...