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The Research Computing and Data (RCD) community has coalesced over the past ten years to encompass hundreds of organizations that support both researchers and research support staff alike. While many of these organizations may rely on external funding, ...

We look at concatenation hierarchies of classes of regular languages. Each such hierarchy is determined by a single class, its basis: level n is built by applying the Boolean polynomial closure operator "BPol" n times to the basis. An important and ...

Membership (membership query/membership testing) is a fundamental problem across databases, networks and security. However, previous research has primarily focused on either approximate solutions, such as Bloom Filters, or exact methods, like perfect ...

Product shipping is an indispensable but costly operation in online retailing. Although several initiatives are underway to reduce the shipping cost, an important innovation is the membership-based free shipping (MFS) program, in which a retail platform ...

Resource management in large-scale distributed systems is comprised of key factors e.g. scheduling, monitoring and discovery of potential resources. Due to highly dynamicity and heterogeneity, effective management of distributed resources is a challenging ...

The normal operation of nodes ensures the realisation of network functions. When abnormal nodes appear in the network, the network may be in chaos. A node screening algorithm based on threshold measurement is proposed to solve the problem of nodes ...

Formal design of embedded and cyber-physical systems relies on mathematical modeling. In this paper, we consider the model class of hybrid automata whose dynamics are defined by affine differential equations. Given a set of time-series data, we present ...

Human-computer interaction has a long history of working with marginalized people. We sought to understand how HCI researchers navigate work that engages with marginalized people and considerations researchers might work through to expand benefits and ...

The ACM Special Interest Group on Computer Science Education (SIGCSE) is one of the oldest and largest SIGs, and the SIGCSE Technical Symposium is the oldest and largest of the four SIGCSE conferences. However, the vast majority of Symposium attendees ...

The intelligent scheduling algorithm for hierarchical data migration is a key issue in data management. Mass media content platforms and the discovery of content object usage patterns is the basic schedule of data migration. We add QPop, the ...

Although brand identification and brand engagement are key research priorities, empirically led insight into these concepts and their links remains tenuous. We thereby explore the effect of brand community identification on brand engagement, which ...

Can adopting multiple revenue streams secure long-term sustainability of HIEs? Healthcare information exchanges (HIEs) facilitate information sharing among participating healthcare practices. Despite HIEs’ pivotal role in improving healthcare delivery, ...

Healthcare information exchanges (HIEs) facilitate the electronic transfer of healthcare information among healthcare organizations. Several studies have shown that HIEs have the potential of saving billions of dollars per year and significantly improving ...

SIGCSE is a global organization with members from well over one hundred countries, but attendance at SIGCSE conferences is not always reflective of membership as a whole. Attendance at the SIGCSE Technical Symposium is overwhelmingly from the United ...

Intrusion detection system is widely focused on improving the accuracy, time and space constraints by using various measures and techniques. Though many techniques are available to detect the known attacks, the research focus is on detecting the unknown ...

The task of identifying attacks in the real time networks has become a recent point of focus in network security. A classifier performance depends on the input data. Preprocessing dataset fed as input for classifier is usually required to make the ...

This PhD project aims at investigating how a social robot can adapt its behaviours to the group members in order to achieve more positive group dynamics, which we identify as group intelligence. This goal is supported by our previous work, which ...

K-nearest-neighbor (KNN)1 algorithm is a kind of classification algorithm, which is simple and easy to implement. However, when there is a large number of training sets or numerous attributes, it has the disadvantage of inefficient and time consuming. ...

Membership functions help us to identify and know the similarity between two elements such as vectors or sequences. The objective of this paper is to suggest a membership function and apply this membership function for learning the nature of dataset. In ...

The ultimate objective of intrusion detection problem is to identify surprising intrusions that compromise networks. Determining intrusions through the application of classifiers or detection algorithm requires, finding similarity as one of the important ...

Participants who attend CHI automatically become a member of the Special Interest Group in Human-Computer Interaction (SIGCHI). Being a member of SIGCHI entitles its members to a variety of benefits, such as student grants, conference discounts, ...