Abstract Political behavior in organization is undeniable, while studies of organizational politics lasting for recent decades had accumulated abundant understanding in this area. However, there are still many arguments against this complex subject needed further research. The purpose of the research is 1) to test and verify the input model of Organizational Politics Perception Model¡C 2) to test the effectiveness and reliability and solve the controversy of dimensions of POPS ¡C 3) to further refine the input model by type analysis and try to explain the cause of Organizational Politics Perceptions¡C For research procedure and sample: Participants were 973 and drawn from Hospital¡Bprivate and public service firms¡Btraditional manufacturing and high-technical firms¡CThe research method is descriptive statistics analysis¡B reliability analysis¡Bfactor analysis¡Bregression analysis¡Bone-way ANOVA and cluster analysis¡C

This work investigated the characteristics of polychlorinated dibenzo-p-dioxins anddibenzofurans (PCDD/F) in stack-flue gases from six stationary emission sources in five types ofincinerators: industrial waste incinerator (IWI), small-scale municipal solid waste incinerator(MSWI), medical waste incinerator (MWI), cement kilns (CK), and crematories (CR). These characteristics were further investigated using factor analysis and cluster analysis. Experimental results reveal that PCDDs dominate MSWI and CR, and PCDFs dominate IWIa, IWIb, CK and MWIs. The factor analysis results showed that CR and MSWI have similar fingerprints, as do IWIb and MWI3. The cluster analysis showed that if a vertical line is cut at a rescaled distance of four, then the PCDD/F congener profiles fall into four groups. The indicators of PCDD/Fs are OCDD, 1,2,3,4,6,7,8-HpCDF, 2,3,4,7,8-PeCDF, and 1,2,3,4,6,7,8-HpCDD. The emission factors of PCDD/Fs herein were from 0.0433

In this thesis, the technologies that appeared to be strategic according to the Vision 2023 Technology Foresight Project were examined in terms of how they might form up technology clusters. This thesis aims to identify technology clusters in terms of common knowledge base and to use these clusters in future scenarios as a foresight tool. In this study, Vision 2023 Delphi survey respondents&rsquo / intersecting expertise levels in different fields were accepted as indicators of common knowledge base in these fields and technology clusters were formed up in this direction. In order to attain technology clusters, the appropriateness of hierarchical and nonhierarchical clustering methods and projection techniques were examined. Taking the clusters into consideration, Ward&rsquo / s method revealed the healthiest results for our data set. Investigation of scenario building which had not been used in Turkey as a an effective foresight tool, forms the second step of this study. Scenario method was examined from a historical perspective and different approaches were investigated. Finally, using the technology clusters that were gained through Ward clustering, a scenario building study by scenario matrix was conducted as an example.

Turkish Electricity Market is modeled as a non-cooperative game with complete information in order to simulate the behavior of market participants and analyze their possible strategies. Player strategies are represented with multipliers in a discrete strategy set. Different market scenarios are tested through different game settings. As the novelty of this thesis, similar market participants are clustered and treated as single players in order to apply game theory in an efficient way. Generators are clustered using Agglomerative Hierarchical Clustering and Square Sum of Deviations is used as the proximity measure. The game is constructed with three players that reflect the main characteristics of the market participants. Clusters and game scenarios are constructed using the real market data of the Turkish Electricity Market at four different time points in 2008 and results are compared. Clustering results reflect the actual installed capacity distribution based on the main companies and fuel types in Turkish Electricity Market. According to four games of clustered electricity generators, when there is not enough competition in the market, dominant player is advised to submit bids with lower price for energy surplus cases and offers with higher price for energy deficit cases. However, when there is competition in the market, players are advised to submit offers with lower price in order to take a share of the limited demand for up-regulation.

In this study, current infrageneric taxonomic status of Limonium Mill. in Turkey was assessed by using numerical taxonomy (phenetics) method. Herbarium materials belong to 21 species of Limonium Mill., collected all around Turkey, and were examined. In order to evaluate the infrageneric status, 52 characters based on ecological and morphological features of the genus were determined and recorded to construct a data matrix which was analyzed by MultiVariate Statistical Package (MVSP) and Statistica software with Unweighted Pair Group Method with Arithmetic Mean (UPGMA) method to construct phenograms. Then, by assesing the phenograms, an overall comparison of Limonium Mill. species were made and infrageneric taxonomic status of the genus was discussed. The result of this study indicated that 5 sections of the genus are represented in phenograms which was a compatible result with theoretical information written in 7th Volume of &ldquo / Flora of Turkey&rdquo / . Moreover, in UPGMA trees, a new section (belonging Section Limonium) is observed. Section nova species live only near seashore and distinctively separated from other Section Limonium species in phenograms and Principle Component Analysis (PCA). PCA was carried out to indicate most important characters used in this study. In addition, in this study, a dichotomous key comprising all the species of Limonium Mill. in Turkey was also presented. In appendix part, brief information about each species such as distribution, habitat, conservation status, habit, endemism ratio, flowering period, IUCN categories was given to review all Limonium Mill. species in Turkey.

The normal procedure for the detection of underwater stationary targets is mainly by the application of side-scan sonar. In addition, the identification of targets within the side-scan sonar imagery is primarily based on the visual observation of the operator. Due to its complexity and poor effectiveness, the visual observation procedure was gradually been substituted by numerical analysis procedures and programs. The purpose of the current investigation was dedicated to the development of an automatic image analysis program for the detection and identification of cubic concrete artificial reefs (2 m x 2 m x 2m) in the south-western coastal area off Taiwan. The major components and methodologies of the program include: (1)Image acquisition; side-scan sonar at 500 kHz and slant range at 75 m. (2)Feature extraction; grey level co-occurrence matrix. (3)Feature Classification; unsupervised Bayesian classifier. (4)Target identification; cluster analysis. (5)Target properties analysis, includes circumference, area, central coordinates and quantity of the targets. Program verification and optimal parameters determination were conducted with a sonograph (650 ¡Ñ 650 pixels) acquired at the Chey-Ding artificial reef site off Kaohsiung County. Feature functions employed in this program include entropy, homogeneity, and mean value. The identification accuracy can reach 93% at the most. In addition, the number of artificial reefs estimated by the program was within 9 to 20, while the actual number is 15. A realistic evaluation of this program was conducted with a sonograph (2048 ¡Ñ 6050 pixels) acquired at Fang-Liau artificial reef site off Pyngdong County. In addition to the cubic reefs, the targets at this site include cross-shaped artificial reefs with dimensions less than the cubic reefs. The sonograph was divided into smaller blocks with dimensions of 2048 x 550 pixels during evaluation. The results showed that each block can be evaluated based on the value of the seed point obtained by cluster analysis. The seed point which fells between 20.6 and 24.4 indicates that there are cubic reefs existed. Between 15.3 and 17.4 indicates that there are targets with smaller dimensions (i.e., crossed reefs) existed which can not be identified properly. Between 10.1 and 10.9, there is no target existed on the seafloor. The results indicated that the number of targets identified is between 122 and 240. According to the results of this investigation, the automatic image analysis program can improve the detection and identification of stationary targets within side-scan sonar imagery.

Load balancing has been a topic of interest in both academia and industry, mainly because of the scope for performance enhancement that is available to be exploited in many parallel and distributed processing environments. Among the many approaches that have been used to solve the load balancing problem, we find that only very few use prediction of code execution times. Our reasoning for this is that the field of code prediction is in its infancy. As of this writing, we are not aware of any prediction-based load balancing approach that uses prediction8 of code-execution times, and uses neither the information provided by the user, nor an off-line step that does the prediction, the results of which are then used at run-time. In this context, it is important to note that prior studies have indicated the feasibility of predicting the CPU requirements of general application programs. Our motivation in using prediction-based load balancing is to determine the feasibility of the approach. The reasoning behind that is the following: if prediction-based load balancing does yield good performance, then it may be worthwhile to develop a predictor that can give a rough estimate of the length of the next CPU burst of each process. While high accuracy of the predictor is not essential, the computation overhead of the predictor must be sufficiently' small, so as not to offset the gain of load balancing. As for the system, we assume a set of autonomous computers, that are connected by a fast, shared medium. The individual nodes can vary in the additional hardware and software that may be available in them. Further, we assume that the processes in the workload are sequential. The first step is to fix the parameters for our assumed predictor. Then, an algorithm that takes into account the characteristics of the predictor is proposed. There are many trade-off decisions in the design of the algorithm, including certain steps in which we have relied on trial and error method to find suitable values. The next logical step is to verify the efficiency of the algorithm. To assess its performance, we carry out event driven simulation. We also evaluate the robustness of the algorithm with respect to the characteristics of the predictor. The contribution of the thesis is as follows: It proposes a load-balancing algorithm for a heterogeneous cluster of workstations connected by a fast network. The simulation assumes that the heterogeneity is limited to variability in processor clock rates; but the algorithm can be applied when the nodes have other types of heterogeneity as well. The algorithm uses prediction of CPU burst lengths as its basic input unit. The performance of the algorithm is evaluated through event driven simulation using assumed workload distributions. The results of the simulation show that the algorithm yields a good improvement in response times over the scenario in which no load redistribution is done.

Thesis (Ph. D.)--University of Washington, 2003. / Vita. Includes bibliographical references (leaves 178-195).

The purpose of my study is to study Social Democrats immigration policy over the period 1990 and 2013. My material consists of party programs and motions that social democracy has raised in Parliament. As a research method I used McGee´s ideograph theory. I use a cluster analysis inspired by Kenneth Burke to analyze the meaning of those found ideographs. I also present and use Bitzers rhetorical situation in my analyze With help of Burke´s rhetorical situation I could see how the Social Democrats' rhetorical approach to immigration policy in the different periods in society. My investigation of the Social Democratic Party program and motions / propositions revealed the following ideographs: Democracy, solidarity, equality and freedom. keywords that went to associate to the ideographs relating to immigration policy was school, adults, racism, equal rights, democratic freedom. Rhetorical could be interpreted as a way to show that in year 2013 the party stands behind a more solidarity, equality of human beings in society. Groups such as migrants and refugees should not stick out like a social group, but the group should be included in the collective Sweden.

In the United States (U.S.), extreme temperature-related deaths account for far more deaths than hurricanes, lightning, tornadoes, floods, and earthquakes combined. An extreme heat event (EHE) or a heat wave is a sustained period of substantially hotter and/or more humid weather. EHEs cause a wide range of health problems such as rashes, cramps, heat exhaustion, heat stroke, and, in some instances, death. Further, meteorology plays a dominant role in the formation of air pollutants. In particular, extremely high temperatures are conducive to the formation of certain air pollutants. In order to understand the adverse health impacts of extreme heat and air pollution levels prevailing during EHEs, it is necessary to define what constitutes a heat episode; however, there is a lack of scientific consensus on definitions and procedures to accurately identify EHEs. This work employs a hierarchical clustering technique to group 92 different EHE definitions into homogeneous sets and uses negative binomial rate regression approach to identify those definitions that are most strongly associated with mortality. Our findings suggest that definitions with thresholds that are either too extreme or too moderate are poorly associated with heat-related mortality for most climate regions. Additionally, the association between air pollution and health, especially mortality, is well understood. However, the role of air pollutants in modifying the relationship between EHEs and mortality is not well characterized in the U.S., yet is critical to generating accurate estimates of health burden. Our results indicate that air pollution confounds the relationship between EHE and mortality, and the extent of confounding varies with climate regions. Further, through this work, the sensitivities associated with selecting an EHE definition is taken into consideration when providing region-specific health and economic burden associated with EHEs. Ideally, the excess deaths and costs presented in this work could be useful to study and quantify the public health risk associated with EHEs, either in a prospective or a retrospective setting.