BACKGROUND Detecting protein complexes is one of essential and fundamental tasks in understanding various biological functions or processes. Therefore accurate identification of protein complexes is indispensable. METHODS For more accurate detection of protein complexes, we propose an algorithm which detects dense protein sub-networks of which proteins share closely located bottleneck protein...

A large range of applications exists with demand for high-performance point-to-point and point-tomultipoint communication. Existing communication subsystems frequently represent a major performance bottleneck. To overcome this bottleneck, a framework for high-performance multicast transfer protocol processing is presented, based on hardware support for multicast error control in transmitters an...

In this paper we investigate the network performance of TCP hosts and gateways employing New Reno TCP using a parallel simulator. The gateway adopts the random early detection (RED) scheme and proactive congestion control mechanism to enforce fair sharing among competing TCP connections. The test network is modeled using PARSEC. The simulation reveals that the RED gateway drops only a small num...

Security has become a critical issue in today’s highly distributed and networked systems. Network intrusion detection systems (NIDSs), especially signature-based NIDSs, are being widely deployed in a distributed network environment with the purpose of defending against a variety of network attacks. Most of the commercially available NIDSs are software based and rely on pattern matching to extra...

An analytical framework for multiple TCP flows sharing a bottleneck link under the Random Early Detection (RED) regime is developed. Closed form expressions for the steady state throughput and average queueing delay are derived and verified by simulations; these show that RED significantly improves the inherent TCP bias against links with higher round-trip delays as compared to Tail Drop, contr...

Abstract Diverse many-body systems, from soap bubbles to suspensions polymers, learn and remember patterns in the drives that push them far equilibrium. This learning may be leveraged for computation, memory, engineering. Until now, has been detected with thermodynamic properties, such as work absorption strain. We progress beyond these macroscopic properties first defined equilibrium contexts:...

Information bottleneck is an information-theoretic principle of representation learning that aims to learn a maximally compressed preserves as much information about labels possible. Under this principle, two different methods have been proposed, i.e., (IB) and deterministic (DIB), gained significant progress in explaining the mechanisms deep algorithms. However, these theoretical empirical suc...