AbstractWhich assignment teachers feel they have to accomplish in their professional work has been thestarting point of this essay. To find this out, two questions have been asked:1.Which assignment do teachers experience as the most important assignment? How can this be relatedto the curriculum?2.How do teachers interpret the term 'learning'? How can this be related to the curriculum?Working as a teacher means that you have different assignments to implement, which brings complexityto it. One part is to prepare the students for becoming future citizens. Another part is to seeto that they reach the knowledge as well as other goals of the education. By interviewing teachersworking with students in different ages, differences and similarities have been shown. For examplesafety, teaching, and pleasurable learning are seen as the most important assignments to perform.Learning can mean many things, and it is important to know what the goal of it is to be able to grantgood conditions for it. Learning always means that some kind of change is made.

The problem of stress assignment is to identify which syllables are phonetically more prominent than the others in a word. It is not only of theoretical interests to linguists but also very important to Text-to-Speech systems in terms of both accuracy and naturalness of pronunciation. Besides providing an in-depth survey of existing stress assignment algorithms in the fields of linguistics and speech generation, this thesis presents a ranking approach to stress assignment for both letters and phonemes. The final system is language independent and clearly outperforms all previous systems. When combined with a current state of art Letter-to-Phoneme system, error rate in stress assignment is reduced by up to 40%

Thesis (Ph.D.)--Hong Kong University of Science and Technology, 2008. / Includes bibliographical references (leaves 161-166). Also available in electronic version.

Thesis (M. Phil.)--Hong Kong University of Science and Technology, 2002. / Includes bibliographical references (leaves 60-61). Also available in electronic version. Access restricted to campus users.

Thesis (Ph. D.)--University of Hong Kong, 2010. / Includes bibliographical references (leaves 141-147). Also available in print.

Thesis (M.Phil.)--Hong Kong University of Science and Technology, 2005. / Includes bibliographical references (leaves 40-41). Also available in electronic version.

ITC/USA 2011 Conference Proceedings / The Forty-Seventh Annual International Telemetering Conference and Technical Exhibition / October 24-27, 2011 / Bally's Las Vegas, Las Vegas, Nevada / Current real-time data communications links supporting Major Range and Test Facility Base (MRTFB) operations are one-way, dedicated links based on the IRIG 106 standard. One of the goals of the iNET program is to provide for shared, two-way networked communications links enabling more flexible operation and more efficient use of spectrum. Central to this goal is the provision for a Spectrum Assignment Manager (SAM) as referred to in the iNET architecture. The SAM element of the Resource Management Facility (RMF) works in concert with the TmNS Network Manager to support dynamic frequency assignment and real-time metrics adjustment. This paper describes the potential role, key functions, and technology elements needed to support this important function.

Nowadays in the world of mass consumption there is big demand for distributioncenters of bigger size. Managing such a center is a very complex and difficult taskregarding to the different processes and factors in a usual warehouse when we want tominimize the labor costs. Most of the workers’ working time is spent with travelingbetween source and destination points which cause deadheading. Even if a worker knowsthe structure of a warehouse well and because of that he or she can find the shortest pathbetween two points, it is still not guaranteed that there won’t be long traveling timebetween the locations of two consecutive tasks. We need optimal assignments betweentasks and workers.In the scientific literature Generalized Assignment Problem (GAP) is a wellknownproblem which deals with the assignment of m workers to n tasks consideringseveral constraints. The primary purpose of my thesis project was to choose a heuristics(genetic algorithm, tabu search or ant colony optimization) to be implemented into SAPExtended Warehouse Management (SAP EWM) by with task assignment will be moreeffective between tasks and resources.After system analysis I had to realize that due different constraints and businessdemands only 1:1 assingments are allowed in SAP EWM. Because of that I had to use adifferent and simpler approach – instead of the introduced heuristics – which could gainbetter assignments during the test phase in several cases. In the thesis I described indetails what ware the most important questions and problems which emerged during theplanning of my optimized assignment method.

Channel assignment in wireless mesh network (WMN) aims at improving the network throughput by utilizing multiple orthogonal frequency channels to minimize the interference. Interference can be categorized as coordinated and non-coordinated, depending upon the relative location of the interfering links. Compared to coordinated interference, non-coordinated interference has a severe adverse impact on throughput. This thesis is based on the hypothesis that the network throughput can be improved significantly, if channel assignment minimizes non-coordinated interference with priority. We propose a static and centralized channel assignment scheme CCAS to show the effectiveness of the hypothesis. The cluster-based approach of CCAS minimizes non-coordinated interference with reduced complexity. CCAS improves the network throughput by upto 80%, compared to the existing schemes. We propose topology control scheme MATS that constructs low interference multipath network topology using a subset of links from physical topology. We report an additional improvement of upto 10% in the network throughput, when CCAS assigns channels to the links selected by MATS. In the final part of the thesis, we formulate generalized channel assignment as an optimization problem, accounting for real network traffic. The objective of the problem is to select the channels for links such that maximum incident traffic can be transmitted over the links, while ensuring a fair distribution of throughput amongst links and elimination of non-coordinated interference. For a given network and incident traffic, the solution to this problem generates the channel assignment resulting in optimal network throughput. We propose dynamic and distributed scheme LYCAS as an approximate solution to the problem. LYCAS employs MATS to construct network topology and cluster-based approach of CCAS to minimize non-coordinated interference. In addition, it periodically updates the assignment of channels to adapt to the changing traffic load. LYCAS achieves upto 68% of the optimal network throughput and upto 72% of optimal aggregate end-to-end throughput of multi-hop flows. It outperforms the existing schemes by a factor of 2.

The purpose of this study was to determine what criteria were being used or for use in determining rank assignment of non-degree technical-vocational junior college instructors.