Forecasts of Female Breast Cancer Referrals Using Grey Prediction Model GM(1,1)

Breast Cancer forecasting is an important matter for governments, health sector investors, and other related companies. Although there are different forecasting models, choosing the suitable model is of great significance. This paper focuses on utilizing the performance of grey prediction model GM (1, 1) to the monthly total number of women referrals for Breast Cancer in Gaza Strip\Palestine from January 2002 to December 2016. The results show that the GM (1, 1) model exhibits good forecasting ability according to the MAPE criteria. Moreover, the forecasting results are compared with the results of exponential smoothing state space (ETS) and ARIMA models. The three techniques do similarly well in forecasting process. However, GM (1, 1) outperforms the ETS and ARIMA techniques according to forecasting error accuracy measure MAPE

A Singular Spectrum Analysis Technique to Electricity Consumption Forecasting

Singular Spectrum Analysis (SSA) is a relatively new and powerful nonparametric tool for analyzing and forecasting economic data. SSA is capable of decomposing the main time series into independent components like trends, oscillatory manner and noise. This paper focuses on employing the performance of SSA approach to the monthly electricity consumption of the Middle Province in Gaza Strip\Palestine. The forecasting results are compared with the results of exponential smoothing state space (ETS) and ARIMA models. The three techniques do similarly well in forecasting process. However, SSA outperforms the ETS and ARIMA techniques according to forecasting error accuracy measures

Comparison of Parametric and Nonparametric Techniques for Water Consumption Forecasting

Forecasting water consumption is an important foundation for the development of water demand management strategy. In this paper, a parametric time series exponential smoothing state space (ETS) method was employed to monthly water consumption for Gaza City/Palestine. It is compared with nonparametric Reweighted Nadaraya-Watson (RNW) method. The root mean square error (RMSE) and mean absolute scaled error (MASE) are used for comparing the forecasting accuracy. This paper finds statistically significant evidence showing that the ETS state space model outperforms RNW approach at forecasting water consumption

Verification of KAM Theory on Earth Orbiting Satellites

This paper uses KAM torus theory and Simplified General Perturbations 4 (SGP4) orbit prediction techniques compiled by Dr. William Wiesel and compares it to Analytical Graphics ® Incorporated (AGI) Satellite Toolkit ® (STK) orbit data. The goal of this paper is to verify KAM torus theory can be used to describe and propagate an Earth satellite orbit with similar accuracy to existing general perturbation techniques. Using SGP4 code including only truncated geopotential effects, KAM torus generating code, and other utilities were used to describe a particular satellite orbit as a torus and then propagate the satellite using traditional and KAM torus techniques. These results were compared with similar data generated from initial conditions in STK. Comparisons show orbit prediction for this particular satellite can be made with low kilometer level accuracy. It is claimed with increased mathematical precision and orbital model detail, KAM torus theory applied to orbit prediction techniques can produce more accurate results than currently achievable

The role of technology in supporting remote work for people with autism A case study in the telecommunications sector in Jordan

The study aims to identify the role of technology in supporting remote work for employment with autism case study in the telecommunications sector in Jordan and the study used the descriptive analytical method and relied on the questionnaire as a tool for the study. The number of the study sample was 220 individuals. The study found high level of role of technology in the telecommunications sector in Jordan and high level of remote work for employment with autism in the telecommunications sector in Jordan and Positive correlation between role of technology and remote work for employment with autism and the more it increased role of technology by 1% is the level of remote work for employment with autism in the telecommunications sector in Jordan has increased by 0.958% The study recommended the necessity of necessity of working to increase the awareness of institutions in Jordan of the importance of working to improve workers' ability to use remote work as a means of enhancing their performance and improving their work and achieving the goals that institutions seek, necessity of working to increase the awareness of the senior management in the institutions operating in Jordan by working to provide all the technical, technological and training needs of the workers in order to increase the levels of their performance of their work, Interest in the presence of flexibility when applying regulations and systems related to the application of remote work, which contributes to overcoming all difficulties and problems that may appear when any changes occur, whether internal or external and Directing researchers to conduct more studies and research on how to implement remote work and how to use technology efficiently and effectively

The relationship between a principal\u27s self-perceived leader style and self-perceived job stress

The purpose of this study was to investigate the relationship between a principal’s self-perceived leader style, self-perceived job stress and self-reported demographics. The three null hypotheses were answered by analyzing data collected from a stratified random sampling of elementary and secondary principals in the West Virginia public school system. A three part questionnaire was used to collect the data. The first section of the questionnaire consisted of twelve statements regarding demographic information. The second section consisted of Hersey & Blanchard’s LEAD-Self instrument. The third section consisted of Tung & Koch\u27s revised Administrative Stress Index which contained twenty-five job related stressor statements. Responses to these twenty-five items determined each principal’s perceived job stress within its task based, role based, conflict mediating, and boundary spanning dimensions. Questionnaires were sent to 320 public elementary and secondary school principals. The total response rate after two mailings was 200 (62.5%) of which 196 (61%) were usable. This equated to 107 usable elementary principal responses (63% of total elementary principals sampled) and 89 usable secondary principal responses (59% of total secondary principals sampled). The Analysis of Variance, GLM procedure, was used to test the three stated null hypotheses at a statistical significance of 0.05. Based on the data, it was determined that there is no significant relationship between principals’ self-perceived leader style and self-perceived job stress. Statistically significant differences were found between male and female principals\u27 perceived job stress; elementary and secondary principals\u27 perceived job stress; and within the four dimensions of perceived job stress. The data further indicated that elementary and secondary principals perceive the same mean stress level for the job stress dimension, conflict mediating stress

Adaptive Balanced Clustering For Wireless Sensor Network Energy Optimization

Many researches in wireless sensors network clustering aim to optimize the power and to balance the cluster with respect to cluster head and cluster nodes. The optimization of cluster and node in balanced way, will balance the processing overhead - and thus power consumption - over the clusters and nodes, so, the network nodes death will be balanced. In order to balance the clustering of the network in terms of equi-sizes clusters or equi-potential clusters, in some networks, far nodes will be very far from any clusters, and those nodes couldn't be included in any balanced clusters. This paper finds a solution for the far nodes. The solution that is contributed in this paper is based on balanced clustering of the network ignoring all far nodes temporary or initially, then, building virtual clustering technique. The fart nodes will be clustered independently in virtual clusters. Those clusters don't have heads of clusters that communicates directly with the base station, but instead it implies virtual cluster head that communicates directly with non-cluster head node in the nearest real cluster. The contributed algorithm of this paper where implemented and simulation results were recorded indicating that, it’s efficient power consumption algorithm, and the balance of clusters will not be so affected. The comparison with LEACH, LEACH-M, and LEACH-L is demonstrated, in addition to the EECA algorithm. Keywords: Wireless sensors network, clustering, energy optimizatio