Data flow across multiple independent applications and further natural language analysis both require the establishment of a common foundation of terms and relations. Such a foundation can provide in-depth understanding of term equivalence within a domain sublanguage, and serve as a model of concept relations and dependencies. In this paper we discuss a domain-independent, corpus-based method f...

We study fairness in machine learning. A learning algorithm, given a training set drawn from an underlying population, learns a classifier that will be used to make decisions about individuals. The concern is that this classifier’s decisions might be discriminatory, favoring certain subpopulations over others. The seminal work of Dwork et al. [ITCS 2012] introduced fairness through awareness, p...

Adversarial examples in machine learning has been a topic of intense research interest, with attacks and defenses being developed in a tight back-and-forth. Most past defenses are best-effort, heuristic approaches that have all been shown to be vulnerable to sophisticated attacks. More recently, rigorous defenses that provide formal guarantees have emerged, but are hard to scale or generalize. ...

A virtual machine tool (VMT) is presented in this two-part paper. In Part 1, the analytical foundation for a virtual machining system is developed, which is envisioned as the foundation for a comprehensive simulation environment capable of predicting the outcome of cutting processes. The VMT system undergoes “pseudo-real machining”, before actual cutting with a CNC machine tool takes place, to ...

In recent years, with the increasing computing power and programmability on GPU, GPU has become an important role on hardware accelerator. Heterogeneous System Architecture (HSA) announced by HSA Foundation is an approach to benefit both CPUs and GPUs advantages. Open Computing Language (OpenCL) is one of the wellknown programming frameworks for parallel computing on heterogeneous architecture....

The protocol algorithm abstracted from a human cognizer's own narrative in the course of doing a cognitive task is an explanation of the corresponding mental activity in Pylyshyn's (1984) virtual machine model of mind. Strong equivalence between an analytic algorithm and the protocol algorithm is an index of validity of the explanatory model. Cognitive psychologists may not find the index stron...

This paper deals with the development and implementation of a framework of SCADA using LabVIEW based Data Acquisition and Management. A SCADA system is described in terms of architecture, process interfaces, functionality, and application development facilities. The system is low on system requirements and easy to implement. This paper describes configuration of Remote Terminal Units to access ...

Inductive logic programming (ILP) is built on a foundation laid by research in machine learning and computational logic. Armed with this strong foundation, ILP has been applied to important and interesting problems in the life sciences, engineering and the arts. This paper begins by briefly reviewing some example applications, in order to illustrate the benefits of ILP. In turn, the application...

We consider the on-line load balancing problem where there are m identical machines (servers). Jobs arrive at arbitrary times, where each job has a weight and a duration. A job has to be assigned upon its arrival to exactly one of the machines. The duration of each job becomes known only upon its termination (this is called temporary tasks of unknown durations). Once a job has been assigned to ...

Numerous techniques have been presented by different researchers to analyze piled raft. In order to analyze pile foundation, soil can be modeled as spring, continuous medium, or porous media. Pile can also be modeled as spring or continuous medium. This study includes three main stages: a short description of different types of analysis methods of pile foundation, writing a computer program bas...