The Art of Multiprocessor Programming

Ergodic theory

"OpenStreetMap kreira i pruža slobodne geografske podatke, kao sto su karte gradova i naselja svakome tko ih želi. Projekt je nastao iz razloga sto vecina karata za koje mislite da su slobodne za koristenje, ustvari imaju pravna ili tehnicka ogranicenja za njihovu uporabu, sto sprijecava ljude da ih koriste na kreativne, produktivne te neocekivane nacine."

Open Street Map

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Music is integral to our lives and, from Elgar to Elvis, provides familiarity and pleasure. The healing properties of music, particularly for mental illness, have been recognised for centuries and music therapy is now established as a psychotherapeutic method to aid

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This Is Your Brain on Music: The Science of a Human Obsession

The Internet of Vehicles has attracted a lot of attention in the automotive industry and academia recently. We are witnessing rapid advances in vehicular technologies that comprise many components, such as onboard units (OBUs) and sensors. These sensors generate a large amount of data, which can be used to inform and facilitate decision making (e.g., navigating through traffic and obstacles). One particular focus is for automotive manufacturers to enhance the communication capability of vehicles to extend their sensing range. However, the existing short-range wireless access, such as dedicated short-range communication (DSRC), and cellular communication, such as 4G, is not capable of supporting the high volume data generated by different fully connected vehicular settings. Millimeter-wave (mmWave) technology can potentially provide terabit data transfer rates among vehicles. Therefore, we present an in-depth survey of the existing research, published in the last decade, and we describe the applications of mmWave communications in vehicular communications. In particular, we focus on MAC and physical layers and discuss related issues, such as sensing-aware MAC protocol, handover algorithms, link blockage, and beamwidth size adaptation. Finally, we highlight various aspects related to smart transportation applications, and we discuss future research directions and limitations.

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Millimeter-Wave Communication for Internet of Vehicles: Status, Challenges, and Perspectives

Pairwise sequence alignment is a fundamental compute-intensive problem in bioinformatics that has helped researchers analyse biological sequences. The analysis has helped biologists detect pathogens, develop drugs, and identify common genes. The biological sequence database has been growing rapidly due to new sequences being discovered. This has brought many new challenges including sequence database searching and aligning long sequences. To solve these problems, many sequence alignment algorithms have been developed. These algorithms employ various techniques to efficiently find optimal or nearly-optimal alignments. In this paper, we present the popular past and recent work on both local and global pairwise sequence alignment algorithms. In addition to identifying the techniques used, the advantages and limitations of the algorithms are also presented.

Pairwise sequence alignment algorithms: a survey

Simulation modeling plays crucial role in conducting research on complex dynamic systems like mobile ad hoc networks and often the only way. Simulation has been successfully applied in MANET for more than two decades. In several recent studies, it is observed that the credibility of the simulation results in the field has decreased while the use of simulation has steadily increased. Part of this credibility crisis has been attributed to the simulation of mobility of the nodes in the system. Mobility has such a fundamental influence on the behavior and performance of mobile ad hoc networks. Accurate modeling and knowledge of mobility of the nodes in the system is not only helpful but also essential for the understanding and interpretation of the performance of the system under study. Several ideas, mostly in isolation, have been proposed in the literature to infuse realism in the mobility of nodes. In this paper, we attempt a holistic analysis of creating realistic mobility models and then demonstrate creation and analysis of realistic mobility models using a software tool we have developed. Using our software tool, desired mobility of the nodes in the system can be specified, generated, analyzed, and then the trace can be exported to be used in the performance studies of proposed algorithms or systems.

Towards modeling realistic mobility for performance evaluations in MANET

Operating systems is a central subject in computer science curriculum, and teaching it successfully has been a challenge. Effective learning requires carefully designed programming projects that can facilitate deep thinking and enhance hands-on experience. This paper presents MiniOS, an instructional embedded operating system designed to carry out operating systems projects successfully. We explain MiniOS approach, the rationale behind it, and compare it with other similar approaches.

MiniOS: An Instructional Platform for Teaching Operating Systems Projects

As multicore processors are becoming increasingly common everywhere, the future computing systems and devices are becoming inevitably concurrent. Also, on the applications side, automation is steadily infiltrating into everyday life, and hence, most software systems are becoming increasingly complex and concurrent. As a result, recent developments and projections indicate that we are entering into the era of concurrent programming. Synchronizing asynchronous concurrent processes in accessing a shared resource is an important issue. Among the synchronization issues, mutual exclusion is fundamental. Solutions to most higher level synchronization problems rely on the assurance of mutual exclusion. Several algorithms with varying characteristics are proposed in the literature to solve the mutual exclusion problem. This paper presents two new algorithms to solve the mutual exclusion problem. The algorithms are simple and have many nice properties.

Yet Another Simple Solution for the Concurrent Programming Control Problem

Designing efficient control strategies is well studied. Due to recent technological advancements and applications to the field of robotics, exploring ways to design optimal control for multi robot systems is gaining interest. In this respect, ergodicity has been successfully applied as an effective control technique for tracking and coverage. Generating flocking behaviour is a problem with many interesting special cases that include both tracking and coverage. The main contribution of this paper is the application of ergodicity to emulate flocking behaviour. Our approach is appealing, as control and communication are all assumed to be local, and so this behaviour is self-organized. Simulation results show that the proposed approach is effective.

Alex Aravind

Papers

Pairwise sequence alignment algorithms: a survey

Towards modeling realistic mobility for performance evaluations in MANET

MiniOS: An Instructional Platform for Teaching Operating Systems Projects

Yet Another Simple Solution for the Concurrent Programming Control Problem

Ergodic Flocking