1,721,174 research outputs found

    Lead competencies matrix to develop potential future leaders of Malaysia

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    Leaders take calculated risks to reach a challenging goal. To become a leader, certain competencies are required. Selection of leaders is also very vital. The purpose of this study is to understand leadership roles, to determine selection process of choosing the right candidates for potential future leaders of an organization and to obtain competencies which will lead the candidates to get leadership quality. In this study, theoretical research has been conducted based on American Society for Training & Development (ASTD) model and secondary data has been used through existing research publications. A conceptual framework of Leadership selection process and lead competencies matrix model has been derived in Malaysian context. This study suggests that there are three steps in leadership selection process and ten lead competencies which are required to develop for a strategic leadership role to excel organizational performance. Human resource managers can use this selection process and model for developing future leaders. Primary data can be a potential enhancement of this research

    The advantages of accreditation

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    Normative Accounting Theories

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    Impact of weather parameters on the spread of dengue cases in Dhaka

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    Introduction: Dengue cases have increased extremely in recent years because of globalization, easy movement, population growth and urbanization, and climate change. Presently, dengue causes hundreds of daily dengue incidences and tens of human deaths in Dhaka. In this study, the impacts of weather parameters on the spread of dengue cases have been investigated for the city. Methods: The daily dengue cases and weather parameter values are collected for the city from public repositories. From these daily data, per-week average values were calculated to observe their weekly variations. Six different lagged week data have been generated by combining weekly average dengue cases with cumulative lagged weekly average weather parameters. Spearman rank correlation and quasi-Poisson generalized linear model have been applied in the lagged week data to assess the impacts of weather parameters on dengue cases. Results: A significant positive association for relative humidity and a negative association for wind pressure have been observed with dengue incidence. Also, stronger estimates have been examined for more cumulative lagged week weather parameter values with dengue incidence. July to October might be the sensitive season for dengue in the city for higher values of relative humidity and lower values of wind pressure. Conclusions: Dhaka is one of the most densely populated cities in the world. Also, the dengue incidence in the city has increased remarkably in the last several years. The findings observed in this study might help the city's decision-makers to initiate necessary steps before the dengue outbreak occurs

    Planning for scanning in construction : optimizing 3D laser scanning operations using building information modelling and a novel specification on surface scanning completeness.

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    Application of Terrestrial Laser Scanning (TLS) technology in the Architectural Engineering and Construction (AEC) industry is gaining popularity because the technology uniquely offers the means to create as-built three-dimensional (3D) models of existing facilities, and conduct construction project progress and dimensional quality measurements. An open challenge with regard to the use TLS for such applications is to efficiently generate effective scanning plans that satisfy pre-defined point cloud quality specifications. Two such specifications are currently commonly used: Level of Accuracy (LOA) that focuses on individual point precision, and Level of Detail (LOD) that focuses on point density. Given such specifications, current practice sees professionals manually prepare scanning plans using existing 2D CAD drawings, some ad-hoc rules (of thumb), and their experience. Yet, it is difficult to manually generate and analyse laser scanning plans to ensure they satisfy scanning quality specifications such as those above. Manually-defined plans may easily lead to over-scanning, or worse under-scanning with incomplete data (which may require the team to go back on site to acquire complementary data). To minimize the risk of producing inadequate scanning plans, some semi-automated and automated methods have been proposed by researchers that use the 3D (BIM) model generated during the design stage. These methods take consideration for LOA and LOD. However, these are point-based specifications that do not guarantee that a sufficient amount of the surface of each object is covered by the acquired data, despite this aspect being important to many of the applications for which TLS is employed (e.g. modelling existing facilities). Therefore, this research uniquely proposes a novel planning for scanning quality specification, called Level of Surface Completeness (LOC) that assesses point cloud quality in terms of surface completeness. In addition, an approach is proposed for automatic planning for scanning in the AEC industry that takes both LOA and LOC specifications into account. The approach is ‘generic’ in the sense that it can be employed for any type of project. It is designed to generate automatic laser scanning plans using as input: (1) the facility’s 3D BIM model; (2) the scanner’s characteristics; and (3) the LOA and LOC specifications. The output is the smallest set of scanning locations necessary to achieve those requirements. The optimal solution is found by formulating the problem as a binary integer programming optimization problem, which is easily solved using a branch-and-cut algorithm. To assess the performance of the approach, experiments are conducted using a simple concrete structural model, a more complex structural model, and a section of the latter extended with Mechanical Electrical and Plumbing (MEP) components. The overall performance of the proposed approach for automatic planning for scanning is encouraging, showing that it is possible to take surface-based specifications into account in automated planning-for-scanning algorithms. However, the experimental results also highlight a significant weakness of the approach presented here which is that it does not take into account the overlapping of surfaces covered from different scanning locations and thus may inaccurately assess covered surfaces

    Editorial Vol.8(2)

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    Abstract not availableBangladesh Journal of Medical Education Vol.8(2) 2017: 1</jats:p

    Research Issues on Vehicular Ad hoc Network

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    Abstract — Vehicular Ad Hoc Network (VANET) is a kind of special wireless ad hoc network, which has the characteristics of high node mobility and fast topology changes. VANET has become an active area of research, standardization, and development because it has tremendous potential to improve vehicle and road safety, traffic efficiency and convenience as well as comfort to both drivers and passengers. Vehicular networks will not only provide safety and lifesaving applications, but they will become a powerful communication tool for their users. This paper presents the aspects related to this field to help researchers and developers to understand and distinguish the main features surrounding VANET
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