Job listing service
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The CDC is the premier conference dedicated to the advancement of the theory and practice of systems and control. The CDC annually brings together an international community of researchers and practitioners in the field of automatic control to discuss new research results, perspectives on future developments, and innovative applications relevant to decision making, automatic control, and related areas.
Cluster Computing, Grid Computing, Edge Computing, Cloud Computing, Parallel Computing, Distributed Computing
JCDL encompasses the many meanings of the term "digital libraries", including (but not limited to) new forms of information institutions; operational information systems with all manner of digital content; new means of selecting, collecting, organizing, and distributing digital content; and theoretical models of information media, including document genres and electronic publishing. Digital libraries are distinguished from information retrieval systems because they include more types of media, provide additional functionality and services, and include other stages of the information life cycle, from creation through use. Digital libraries also can be viewed as a new form of information institution or as an extension of the services libraries currently provide.
Industrial Electronics, Computational Intelligence, Information Engineering, Network & Communication Technologies,Signal & Image Processing, Trusted Computing & Secure Systems, Software Engineering, Internet of Things
The annual IEEE Congress on Evolutionary Computation (CEC) is one of the leading events in the area of evolutionary computation, which brings together researchers and practitioners in the field of evolutionary computation and computational intelligence from around the globe. Technical exchanges within the research community will encompass keynote lectures, regular and special sessions, tutorials, and competitions, as well as poster presentations. In addition, participants will be treated to a series of social functions, receptions, and networking events to establish new connections and foster everlasting friendship among fellow counterparts.¿IEEE CEC 2019 covers all topics in evolutionary computation from theory to applications, including but not limited to: Combinatorial and numerical optimization, Evolutionary data mining, Evolutionary multi- and many-objective optimization,Evolving neural networks and fuzzy systems, Industrial applications of EC
The IEEE Aerospace and Electronic Systems Magazine publishes articles concerned with the various aspects of systems for space, air, ocean, or ground environments.
IEEE Antennas and Wireless Propagation Letters (AWP Letters) will be devoted to the rapid electronic publication of short manuscripts in the technical areas of Antennas and Wireless Propagation.
The theory, design and application of Control Systems. It shall encompass components, and the integration of these components, as are necessary for the construction of such systems. The word `systems' as used herein shall be interpreted to include physical, biological, organizational and other entities and combinations thereof, which can be represented through a mathematical symbolism. The Field of Interest: shall ...
Design and analysis of algorithms, computer systems, and digital networks; methods for specifying, measuring, and modeling the performance of computers and computer systems; design of computer components, such as arithmetic units, data storage devices, and interface devices; design of reliable and testable digital devices and systems; computer networks and distributed computer systems; new computer organizations and architectures; applications of VLSI ...
After nine years of publication, DS Online will be moving into a new phase as part of Computing Now (http://computingnow.computer.org), a new website providing the front end to all of the Computer Society's magazines. As such, DS Online will no longer be publishing standalone peer-reviewed articles.
Proceedings Frontiers in Education 1997 27th Annual Conference. Teaching and Learning in an Era of Change, 1997
In a recent survey of electrical engineering technology students at the New Jersey Institute of Technology, USA, over 5% of the respondents were in technical sales. The number of job listings each week in major metropolitan newspapers for sales are greater than virtually any other technical discipline. However, the education for this area in most technical programs has relied on ...
2007 International Conference on Computational Intelligence and Security Workshops (CISW 2007), 2007
Grid services and agents are increasingly walking to convergence. In this paper, an autonomy-oriented state space model based on the discrete events is given to describe the grid services dynamic scheduling system which processes a number of heterogeneous jobs concurrently. The stability condition of the grid services dynamic scheduling system is given and proved, then the suitable scheduling policy is ...
IEEE Spectrum, 2003
IEEE Transactions on Computers, 2007
In this paper, we consider timeliness and energy optimization in battery- powered dynamic embedded real-time systems, which must remain functional during an operation/mission with a bounded energy budget. We consider application activities that are subject to time/utility function time constraints, statistical assurance requirements on timeliness behavior, and an energy budget which cannot be exceeded at runtime. To account for the ...
IEEE Spectrum, 1995
The best starting point for career development is your own company's system for filling job openings from within. Infact, if you are not aware of the system and how to benefit from it, you could already be missing out on a good opportunity for advancement. Companies realize that most frequently the best candidate for a newly available position is someone ...
2011 IEEE Awards Leah H. Jamieson HKN Eminent Member Recognition
IEEE Wireless Communication Engineering Technologies (WCET) Certification Program
Tech Jobs: Europe Needs Engineers
Many IEEE members rely on the organization for career guidance and job opportunities. If elected president, how will you help them in this area? - Bartleson
Gender-Based Occupational Stereotypes: New Behaviors, Old Attitudes - Carolyn Matheus & Elizabeth Quinn - IEEE WIE Forum USA East 2017
Many IEEE members rely on the organization for career guidance and job opportunities. If elected president, how will you help them in this area? - Mintzer
Job Market Advantage: Standing Out with Standards
2019 ICRA Keynote- Mocap as a Service
IMS 2010 Special Features: Recognizing Chuck Swift's 52 Years of Service
Teacher In-Service Workshop
Vidhyashri Gnanaprakash from Samsung at WIE ILC 2016
Joe Weinman Sr. VP, TelX
Zipline - IEEE Spectrum Technology in the Service of Society Award - 2019 IEEE Honors Ceremony
Archana Geggalapally from Qualcomm at WIE ILC 2016
Sonali Dutta from Cisco at WIE ILC 2016
Community Based Career Development Panel: IEEE WIE Forum USA East 2017
Cybersecurity Threats To Your Trade Secrets & IP - IEEE USA
Knowledge as a Service Plaform for COVID19 | DSBC 2020
David G. Green - IEEE Haraden Pratt Award, 2019 IEEE Honors Ceremony
In a recent survey of electrical engineering technology students at the New Jersey Institute of Technology, USA, over 5% of the respondents were in technical sales. The number of job listings each week in major metropolitan newspapers for sales are greater than virtually any other technical discipline. However, the education for this area in most technical programs has relied on one of two methods. Either the student has received hands-on experience after graduation, or has taken a marketing course where some brief description of selling occurs. An understanding of selling is important even if a student does not intend to enter the technical sales field. Ideas and projects need to be "sold" within a company. In addition, students must "sell" themselves when they first graduate and try to find employment.
Grid services and agents are increasingly walking to convergence. In this paper, an autonomy-oriented state space model based on the discrete events is given to describe the grid services dynamic scheduling system which processes a number of heterogeneous jobs concurrently. The stability condition of the grid services dynamic scheduling system is given and proved, then the suitable scheduling policy is found and the stability of the policy is proved. Simulation shows that the mathematical model and its scheduling policy can make the system within a controlled and stable state..
In this paper, we consider timeliness and energy optimization in battery- powered dynamic embedded real-time systems, which must remain functional during an operation/mission with a bounded energy budget. We consider application activities that are subject to time/utility function time constraints, statistical assurance requirements on timeliness behavior, and an energy budget which cannot be exceeded at runtime. To account for the inevitable variability in activity arrivals in dynamic systems, we describe arrival behaviors using the unimodal arbitrary arrival model (UAM) . For such a model, we present a dynamic voltage scaling (DVS)-based CPU scheduling algorithm called the energy-bounded utility accrual algorithm (EBUA). Since the scheduling problem is intractable, EBUA allocates CPU cycles, scales clock frequency, and heuristically computes schedules using statistical estimates of cycle demands in polynomial time. We analytically establish EBUA's properties, including satisfaction of energy bounds, statistical assurances on individual activity timeliness behavior, optimal timeliness during underloads, and bounded time for mutually exclusively accessing shared non-CPU resources. Our simulation experiments validate our analytical results and illustrate the algorithm's effectiveness and superiority over past algorithms.
The best starting point for career development is your own company's system for filling job openings from within. Infact, if you are not aware of the system and how to benefit from it, you could already be missing out on a good opportunity for advancement. Companies realize that most frequently the best candidate for a newly available position is someone already on their payroll. Drawing on the pool of existing employees means less time and effort spent on training than if someone is hired from outside. So you as an employee may well have an edge over an outsider. Job openings may be listed in the company newspaper, or posted on bulletin boards, or accessible through the company computer network. To get ahead, you should be reading these lists continually, as you can never tell when a better opportunity will present itself. Actually, you ought to be in a constant job search mode, both inside and outside your company. You should be constantly reviewing the job listings of trade journals and newspapers. You may even want to contact one or more professional search firms to do some searching for you.<<ETX>>
It has been previously proved that the optimal routing control of a two- station Markovian network with linear cost is described by a monotone switching curve. With the discounted cost objective function, it is proven in this paper that the optimal switching curve has a finite asymptotic limit when c/sub 1/ not=c/sub 2/, where c/sub i/ is the unit inventory cost at station i. Whereas, for the case with c/sub 1/=c/sub 2/, as well as the case with the long-run average objective function, the switching curve does not have a finite asymptote.<<ETX>>
Simulation is a good way to investigate performance and behavior of computer systems/networks under various input conditions. The importance for simulation in studying such systems includes: impracticality of dealing directly with the system/network; cost of studying the system/network directly, which may be too high; and the complexity of a mathematical model precluding any possibility of an analytical solution. A reasonable approach to obtaining a manageable model of the system consists of abstracting its features and properties. Particular attention is paid to those pertinent to the study. When we are doing modeling and simulation, we are concerned not only with the elements viz. the real system, model and computer, but also with establishing certain relationships among them. In particular, modeling deals primarily with the relationships between real systems and models. This article is intended to provide a broad overview of various aspects involved in simulating computer systems and assumes a basic knowledge of probability distributions. The simulation of a single server queueing system is also considered.
Generally, users working on a grid infrastructure have a keen interest in knowing (tight) upper bounds for execution times of useful grid services and their own submitted jobs. However, the execution environments and times in a grid infrastructure may widely vary in practice, because of several and diverse factors, including: the unpredictable delays on network links, peaks of service requests, the relatively unpredictable outcomes of resource negotiation, changes in services and resources availability (due to partial failure, etc.). It therefore appears that, for successful grid operation, a crucial ability is that to analyse, and accordingly tune, the amount of resources needed to smoothly execute requests presented to grid services by user-submitted jobs. For such a tuning to be possible and effective, a suitable characterisation should be available of the times spent executing the services provided by the grid middleware.This paper focuses on those grid services, handling job submission, whose execution times can vary substantially, analysing what factors determine or affect this variability. We present and analyse a set of measures that have been carried on a real infrastructure, as usage conditions vary. This knowledge can be very handy to detect the occurrence of anomalous states in grid operation, and timely start appropriate recovery actions.
Many scheduling algorithms search the space of possible solutions (schedules), but some instead search the space of permutations of the set of jobs, employing a greedy algorithm to map any such permutation to a schedule that can be evaluated by the fitness function. The search algorithm is thus simplified because knowledge about problem domain details is encapsulated in the greedy algorithm that constructs schedules, and the fitness function that evaluates them. The variety of types of algorithms for which this sort of "greedy transformation" has proven effective, and the range of successful applications, prompts us to look more closely at how such transformations may also make good solutions easier to find. In this paper we experimentally evaluate some characteristics of search spaces under greedy transformations as a first step toward understanding why this technique is effective.
In this paper we present a queuing model to investigate the effect of time- based system rejuvenation on service availability. The model is formulated as a stochastic colored Petri net, which allows us to use realistic distributions such as the lognormal distribution. We define a metric for service availability and derive how it can be estimated from the model. Experiments show that the optimal rejuvenation interval as well as the achievable service availability improvement depend significantly on system utilization.
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