http://ijaems.com/ Open Access international Journal to publish research paper en-us August 2018 In the current workplace, organizational structure assumes priority in the level of employee engagement. Therefore, well planned structure results in workers efficiency and organizations effectiveness. This study assessed the impact of organizational structure on employee engagement in North Central of Nigeria. Adopting a survey design, the research made used of primary data, collected mainly through administering a set of questionnaire to 196 management staff, supervisors and non-management staff of the selected manufacturing firms from Plateau state. The findings revealed that: there is significant positive relationship between decentralisation system of control and employee productivity; standardisation system of control positively affects employees’ efficiency. The study concluded that decentralisation system of control is crucial to employees’ productivity and organisational development; also enhance rapid delivery of employee services, to both the organization and customers. Standardisation system of control ensures employee efficiency and generates quality products that give competitive edge over the competitors in the global market Incentives as key factor also contribute immensely to employee commitment in workplace. The work recommended that organisations should always employ decentralization system of control; management should adopt decentralization and see it as mechanism that fosters effective customer delivery services. In addition standardisation should be embrace, support and adopt by organizations. http://ijaems.com/detail/impact-of-organisational-structure-on-employee-engagement-evidence-from-north-central-nigeria/ Adeoye K. Funminiyi http://ijaems.com/upload_images/issue_files/1-IJAEMS-JUN-2018-8-ImpactofOrganisational.pdf One of the most important requirement from the materials is to provide more strength at the expense of less weight. E-glass fiber is the material which satisfy this requirement. E-glass fiber has various applications in fields such as aerospace, automobile, marine, piping industries etc., that’s make it is most versatile material of today’s industries. In the present research work, attempt is made to fabricate the E-glass/epoxy composites at three different laminate orientations: 0º/0º/0º/0º/0º, 0º/45º/0º/-45º/0º and 0º/90º/0/90º/0º. Fabricated E-glass/epoxy composite specimens were tested for tensile strength, flexural strength and the experimental results had been validated through ANSYS software. http://ijaems.com/detail/experimental-study-of-tensile-strength-of-glass-epoxy-composites-at-different-laminate-orientations/ Suraj Kalia, Virender Singh Gurau, Anand Kumar http://ijaems.com/upload_images/issue_files/2-IJAEMS-AUG-2018-2-Experimentalstudy.pdf In 1969 Martin Barnes opened the debate a lot about what is the best way to describe the fundamental limitations that underpin the success of the project. This paper develops a project integration model "Beyoutiful Esthetics" through the PMBOK® methodology. The objective in this document is to present the case of this model and demonstrate the way to evaluate the project in the delivery of successful results as part of the development of the PMBOK® model, in the area of beauty culture. http://ijaems.com/detail/feasibility-study-using-the-pmbok-methodology/ Aurora Díaz Cuevas, Patricia Lyssett Bellato Gil, Verónica Flores Sánchez, Arely Vallejo Hernández http://ijaems.com/upload_images/issue_files/3-IJAEMS-JUL-2018-13-FeasibilityStudy.pdf The forest destruction, climate change and global warming can reduce an indirect forest benefit because forest is the largest carbon sink and it plays a very important role in global carbon cycle. To support reducing emissions from deforestation and forest degradation (REDD+) program, there is a need to understand the characteristics of existing Land Use/Cover Change (LUCC) modules. The aims of this study are 1) to calculate the rate of deforestation at Poso Regency; and 2) to compare the performance of LCM and GM for simulating baseline deforestation of multiple transitions based on model structure and predictive accuracy. The data used in this study are : 1) Indonesia tophographic map scale 1; 50.000, produced by Geospatial Information Agency (BIG), 2) Landcover maps (1990, 2000, and 2011) which were collected from the Director General of Forestry Planning, Ministry of Environment and Forestry. Meanwhile independent variables (environmental variables) such as : distance from the edge of the forest, the distance from roads, the distance from streams, the distance from settlement, elevation and slope. Landcover changes analysis was assessed by using Idrisi Terrset software and Geomod software. Landcover maps from 1990 and 2000 were used to simulate land-cover of 2011. The resulting maps were compared with an observed land-cover map of 2011. The predictive accuracy of multiple transition modeling was calculated by using Relative Operating Characteristics (ROC). The results show that the deforestation on the period of 1990-2011 reached 19,944 ha (3.55 %) or the rate of deforestation 949 ha year1. Based on the model structure and predictive accuracy comparisons, the LCM was more suitable than the GM for the asssement of deforestation. http://ijaems.com/detail/comparing-of-land-change-modeler-and-geomod-modeling-for-the-assessment-of-deforestation-case-study-forest-area-at-poso-regency-central-sulawesi-province/ Irmadi Nahib, Turmudi, Rizka Windiastuti, Jaka Suryanta, Ratna S Dewi, Sri Lestari http://ijaems.com/upload_images/issue_files/4-IJAEMS-AUG-2018-1-ComparingofLand.pdf In recent years, the significance of MSME has been recognized in the world’s countries for its major contribution in various socio-economic objectives such as higher economic growth and employment, output, nurturing entrepreneurship and encouragement and support for exports. MSME play a vital role in the industrial development of any country. The MSME sector is a backbone of Indian economy for its contribution to growth of Indian economy. This sector is very much important for moves towards a faster and inclusive growth of country. The MSME sector can help for achieving the target of Nation Manufacturing Policy that manufacturing should contribute 25% in India’s GDP by 2022. For that purpose, the government of India has taken a good initiative of “Make in India”. This paper is to focus on performance of MSME & growth and opportunities. It is concluded that this sector significantly contributes in employment, exports and manufacturing output. http://ijaems.com/detail/growth-and-future-prospects-of-msme-in-india/ Priyadarshani Zanjurne http://ijaems.com/upload_images/issue_files/5-IJAEMS-JUL-2018-9-GrowthandFuture.pdf Background. Emotional intelligence is an essential competence that must be evaluated within a personnel selection process. The level of IE influences the results of a company favorably. In this research, the dependence that exists between the effective productivity of the workers in specific of the commercial area and the emotional intelligence was analyzed. Methodology. The studied population was 88 active workers in the area as mentioned earlier; 40% were male and 60% female. Those evaluated were aged 25 to 40 years, with experience in the average sales area of 3 years. To validate the questions that were handled as an instrument, the Pearson correlation was used; Chi-square to calculate the dependence of variables. Results and discussion. As a result, we obtained ten dependent variables with which we can conclude that there is a relationship between the level of emotional intelligence with the effective productivity that collaborates with the commercial area within an organization. Conclusion. Based on the results we conclude that people with a high level of Emotional Self-understanding (AE) can control their emotions to act correctly in each situation. http://ijaems.com/detail/analysis-of-emotional-intelligence-as-a-competition-for-effective-productivity/ Gabriela Barrón Salas, María Eugenia Ciofalo Lagos, Manuel González Perez http://ijaems.com/upload_images/issue_files/6-IJAEMS-AUG-2018-3-AnalysisofEmotional.pdf This study aims at contributing to the information buildup required for advocating the need for urgent reduction of environmental pollution by exhaust emissions from fossil fuel powered Engines in Nigeria. It was, concluded from the results obtained from the study that carbon monoxide content of the exhaust emissions of agricultural tractors are approximately forty nine(49) times higher than the recommended maximum level of 0.5 % vol CO (v/v) by the US Environmental Protection Agency (EPA). FIAT 70-666 contributed the largest content of 2.9 % vol of CO (v/v) while MASSEY FERGUSSON MF 375 contributed the least amount of 1.7 % vol of CO(v/v). Only the engine capacity had significant effect on the carbon monoxide content of the exhaust emissions of the agricultural tractors; the model/make selection did not significantly affect the CO content of their exhaust emissions. http://ijaems.com/detail/carbon-monoxide-content-of-exhaust-emissions-from-agricultural-tractor-engines-a-case-study-of-ogbomoso-oyo-state-nigeria/ AdewunmiTaiwo, Tawakalitu BolaOnifade http://ijaems.com/upload_images/issue_files/7-IJAEMS-AUG-2018-4-Carbonmonoxide.pdf A social network can be defined as a set of social entities connected by a set of social relations. These relations often change and differ in time. Thus, the fundamental structure of these networks is dynamic and increasingly developing. Investigating how the structure of these networks evolves over the observation time affords visions into their evolution structure, elements that initiate the changes, and finally foresee the future structure of these networks. One of the most relevant properties of networks is their community structure – set of vertices highly connected between each other and loosely connected with the rest of the network. Subsequently networks are dynamic, their underlying community structure changes over time as well, i.e they have social entities that appear and disappear which make their communities shrinking and growing over time. The goal of this paper is to study community detection in dynamic social network in the context of location-based social network. In this respect, we extend the static Louvain method to incrementally detect communities in a dynamic scenario following the direct method and considering both overlapping and non-overlapping setting. Finally, extensive experiments on real datasets and comparison with two previous methods demonstrate the effectiveness and potential of our suggested method. http://ijaems.com/detail/incremental-community-mining-in-location-based-social-network/ Loubna Boujlaleb, Ali Idarrou, Driss Mammass http://ijaems.com/upload_images/issue_files/8-IJAEMS-AUG-2018-6-IncrementalCommunity.pdf Cloud computing is a technology that provides a platform for the sharing of resources such as software, infrastructure, application and other information. It brings a revolution in Information Technology industry by offering on-demand of resources. Clouds are basically virtualized datacenters and applications offered as services. Data center hosts hundreds or thousands of servers which comprised of software and hardware to respond the client request. A large amount of energy requires to perform the operation.. Cloud Computing is facing lot of challenges like Security of Data, Consumption of energy, Server Consolidation, etc. The research work focuses on the study of task scheduling management in a cloud environment. The main goal is to improve the performance (resource utilization and redeem the consumption of energy) in data centers. Energy-efficient scheduling of workloads helps to redeem the consumption of energy in data centers, thus helps in better usage of resource. This is further reducing operational costs and provides benefits to the clients and also to cloud service provider. In this abstract of paper, the task scheduling in data centers have been compared. Cloudsim a toolkit for modeling and simulation of cloud computing environment has been used to implement and demonstrate the experimental results. The results aimed at analyzing the energy consumed in data centers and shows that by having reduce the consumption of energy the cloud productivity can be improved. http://ijaems.com/detail/performance-improvement-of-cloud-computing-data-centers-using-energy-efficient-task-scheduling-algorithms/ A.S.Umesh, Dr. Parveen Kumar http://ijaems.com/upload_images/issue_files/9-IJAEMS-AUG-2018-7-PerformanceImprovement.pdf Due to growing population density and increasing complexity and congestion of human habitat evacuation planning is essential to avoid major loss of life during a natural or un-natural disaster. The paper provides a review of existing evacuation systems and strategies and also points out the possible research directions. Intelligent Evacuation Management System coupled with evolutionary and machine learning techniques such as PSO,ACO , k-mean clustering is a promising solution to ensure safe and jostle free egress of people. . http://ijaems.com/detail/evacuation-plans-and-simulations-for-crowd-egress-a-review/ Purva Goyal, Dr. Akash Saxena http://ijaems.com/upload_images/issue_files/10-IJAEMS-AUG-2018-8-EvacuationPlans.pdf This paper presents a systematic procedure for modeling and simulation of a power system equipped with FACTS type Gate Controlled Series Compensator (GCSC) based stabilizer controller. Single Machine Infinite Bus (SMIB) power system was investigated for evaluation of GCSC stabilizing controller for enhancing the overall dynamic system performance. PSO algorithm is employed to compute the optimal parameters of damping controller. Eigenvalues of system under various operating condition and nonlinear time domain simulation is employed to verify the effectiveness and robustness of GCSC stabilizing controller in damping low frequency oscillations (LFO) modes. http://ijaems.com/detail/design-of-gcsc-stabilizing-controller-for-damping-low-frequency-oscillations/ Mohamed Osman Hassan, Ahmed Khaled Alhaj http://ijaems.com/upload_images/issue_files/11-IJAEMS-AUG-2018-5-DesignofGCSC.pdf