Tree structures are largely used to index and search sequences on secondary memory. In some situations, many range queries are processed almost simultaneously and the resulting number of disk accesses can be high. In order to reduce the number of disk accesses, similar sequences can be grouped and spanned as a single query. A simple strategy is to unify all sequences into a single group. Howeve...

Personalization systems based upon users' surfing behavior analysis imply three phases: data collection, pattern discovery and recommendation. Due to the dimension of log files and high processing time, the first two phases are being achieved offline, in a batch process. In this article, we propose WRS, an architecture for adaptive web applications. Within the framework, usage data is being imp...

The issues of waste generation in batch process plants differ in many aspects to continuous plants. Despite the smaller-scale of processing, complexities from unsteady state profiles, discontinuities, and run-to-run variations make waste minimization in batch plant more challenging. In this paper, we present a systematic methodology for waste minimization analysis of a batch process. The method...

A method is proposed for batch process monitoring and fault diagnosis, starting from a single batch reference data and updating with accumulation of successive batches. A moving data window method is adopted for exploring local covariance structure, stage division, and the development of monitoring models. The application to an injection molding process shows the effectiveness and feasibility o...

Minimal generators (ormingen) constitute a remarkable part of the closure space landscape since they are the antipodes of the closures, i.e., minimal sets in the underlying equivalence relation over the powerset of the ground set. As such, they appear in both theoretical and practical problem settings related to closures that stem from fields as diverging as graph theory, database design and da...

Data scientists need to process and visualize data science for scientific and decision purposes. The data have different size, type, real-time or batch forms, and validity. Data science visualization has a challenge in processing, management, and technique. The research works to investigate, design, and develop the cloud-based processing for data science visualization. The research uses Google ...

Big data processing is a hot topic in today’s computer science world. There is a significant demand for analysing big data to satisfy many requirements of many industries. Emergence of the Kappa architecture created a strong requirement for a highly capable and efficient data processing engine. Therefore data processing engines such as Apache Flink and Apache Spark emerged in open source world ...

Single-cell RNA-Sequencing (scRNA-Seq) has become the most widely used high-throughput method for transcription profiling of individual cells. Systematic errors, including batch effects, have been widely reported as a major challenge in high-throughput technologies. Surprisingly, these issues have received minimal attention in published studies based on scRNA-Seq technology. We examined data fr...

Rapid response to remove (or reduce) the detrimental effects of accidents has always been an important safety issue for the chemical industries. A systematic strategy is presented in this paper to synthesize emergency response procedures in any given batch system. Specifically, two distinct sets of automata are first constructed offline to model the plant behaviors and the control specification...

A simple experiment such as the batch distillation of an ethanol–water binary mixture can be performed in a 3-h laboratory session using a very rudimentary apparatus consisting of a still pot and two thermocouples. Yet, the results can lead to very interesting insights to distillation and chemical engineering thermodynamics. The present article describes how one can exploit this simple laborato...