Batch and semi-batch modes of production are common in a number of high value-added industries including specialty chemicals, pharmaceuticals, and biologics. Online monitoring of such processes seeks to detect run-to-run deviations, anomalies or faulty conditions by analyzing real-time measurements so that they can be corrected quickly and the batch recovered. Multivariate statistical methods h...

In this paper, we study batch codes, which were introduced by Ishai, Kushilevitz, Ostrovsky and Sahai in [4]. A batch code specifies a method to distribute a database of n items among m devices (servers) in such a way that any k items can be retrieved by reading at most t items from each of the servers. It is of interest to devise batch codes that minimize the total storage, denoted by N , over...

Data split into batches is very common in real-world applications. In speech recognition and handwriting identification, the batches are different people. In areas like oil spill detection and train wheel failure prediction, the batches are the particular circumstances when the readings were recorded. The recent research has proved that it is important to respect the batch structure when learni...

A batch is a group of nodes that have to transmit a single packet each to a common receiver in the shortest time. Most of existing batch resolution algorithms assume immediate feedback and generally neglect the feedback time, being considered much shorter than the packet transmission time. This conjecture, however, fails to apply in many practical high-rate wireless systems, with the consequenc...

The K-SVD algorithm is a highly effective method of training overcomplete dictionaries for sparse signal representation. In this report we discuss an efficient implementation of this algorithm, which both accelerates it and reduces its memory consumption. The two basic components of our implementation are the replacement of the exact SVD computation with a much quicker approximation, and the us...

We propose an efficient batch verification of multiple signatures generated by different signers as well as a single signer. We first introduce a method to generate width-w Non-Adjacent Forms (w-NAFs) uniformly. We then propose a batch verification algorithm of exponentiations using w-NAF exponents, and apply this to batch verification for the modified DSA and ECDSA signatures. The performance ...

Matching pursuit (MP) methods are a promising class of feature construction algorithms for value function approximation. Yet existing MP methods require creating a pool of potential features, mandating expert knowledge or enumeration of a large feature pool, both of which hinder scalability. This paper introduces batch incremental feature dependency discovery (Batch-iFDD) as an MP method that i...

Petri nets have widely been applied in different aspect of modelling, qualitative, quantitative analysis, supervisory and coordinate control, scheduling, planning, and hybrid system design of batch processes. The paper presents an example which shows how to use Petri nets to model and analysis a realistic batch plant. The modular modelling method is adopted to model a real batch processing plan...

A resource typically executes a particular activity on a series of cases. When a resource performs an activity on several cases simultaneously, (quasi-) sequentially or concurrently, this is referred to as batch processing. Given its influence on process performance, batch processing needs to be taken into account when modeling business processes for performance evaluation purposes. This paper ...

A novel real-time final product quality control method for batch operations based on stacked leastsquares support vector regression models (stacked LSSVR) is proposed. It combines midcourse correction (MCC) and batch-to-batch control. To enhance the model prediction accuracy and generalization capability, a stacked LSSVR approach is presented. Quality control is achieved by predicting the final...