The Use of Biometric Technology for Effective Personnel Management System in Organization

Although the concept of attendance systems has been carried over the years, in recent times the forms of its application has changed. Companies being aware of the importance of personnel attendance to overcome the problems raised from manual attendance systems have started to take advantage of biometric systems. Particularly, fingerprint and facial recognition are the two most used forms for biometric identification, since it is considered as the most reliable and secure method in terms of its uniqueness. Because manual attendance systems are timeconsuming and ineffective, companies review their control mechanisms for personnel attendance to integrate new technologies in their operations. This article proposes a new generation technological structure used to get effective results in personnel attendance systems. There are plenty of personnel attendance control systems in the market both for multinational companies or small companies. However, the number of web-based form of these systems is limited. Web-based personnel attendance control systems is quickly becoming one of the fastest growing technologies that enables instant data flow and reporting. According to the literature reviewed, more and more companies in Turkey have benefited over the time from web-based personnel attendance control systems. Nevertheless, there are not enough researches about it. The aim of this article is to design and implement a web-based attendance system for personnel in an organization by using biometric system (fingerprints and facial recognition combining with RFID card and password authentication) and support managers to make effective and efficient decision-making process. The proposed system has been implemented by following the steps of Software Development Life Cycle (SDLC). In the process of software development, a waterfall model was chosen that was used in many software projects and that composed of analysis, design, coding, test, version and maintenance phases. Since it is a linear sequential, progress is seen as flowing steadily downward (like a waterfall) through the phases of software implementation. Even though the waterfall approach is the earliest approach, it is still most widely known for software development. This research is expected to help managers in educational institutions in terms of effective personnel management, especially for institutions that have large number of employees. In addition, the developed system can also help educational institutions for adopting their personnel attendance system to new technologies. It was also known that private organizations use this kind of systems. However, educational institutions can also take advantage of biometric data in the web-based personnel management system.     Keywords: personnel attendance control system, personnel management, biometric systems, fingerprints and facial recognitio

The expected anisotropy in solid inflation

Solid inflation is an effective field theory of inflation in which isotropy and homogeneity are accomplished via a specific combination of anisotropic sources (three scalar fields that individually break isotropy). This results in specific observational signatures that are not found in standard models of inflation: a non-trivial angular dependence for the squeezed bispectrum, and a possibly long period of anisotropic inflation (to drive inflation, the ''solid'' must be very insensitive to any deformation, and thus background anisotropies are very slowly erased). In this paper we compute the expected level of statistical anisotropy in the power spectrum of the curvature perturbations of this model. To do so, we account for the classical background values of the three scalar fields that are generated on large (superhorizon) scales during inflation via a random walk sum, as the perturbation modes leave the horizon. Such an anisotropy is unavoidably generated, even starting from perfectly isotropic classical initial conditions. The expected level of anisotropy is related to the duration of inflation and to the amplitude of the squeezed bispectrum. If this amplitude is close to its current observational limit (so that one of the most interesting predictions of the model can be observed in the near future), we find that a level of statistical anisotropy F2 gives frozen and scale invariant vector perturbations on superhorizon scales

Information-theoretic feature detection in ultrasound images

The detection of image features is an essential component of medical image processing, and has wide-ranging applications including adaptive filtering, segmentation, and registration. In this paper, we present an information-theoretic approach to feature detection in ultrasound images. Ultrasound images are corrupted by speckle noise, which is a disruptive random pattern that obscures the features of interest. Using theoretical probability density functions of the speckle intensity distributions, we derive analytic expressions that measure the distance between distributions taken from different regions in an ultrasound image and use these distances to detect features. We compare the technique to classic gradient-based feature detection methods

On-chip integrated nanowire device platform with controllable nanogap for manipulation, capturing, and electrical characterization of nanoparticles

Cataloged from PDF version of article.We propose and demonstrate nanowire (NW) device platforms on-chip integrated using electric-field-assisted self-assembly. This platform integrates from nanoprobes to microprobes, and conveniently allows for on-chip manipulation, capturing, and electrical characterization of nanoparticles (NPs). Synthesizing segmented (Au–Ag–Au) NWs and aligning them across predefined microelectrode arrays under ac electric field, we controllably form nanogaps between the self-aligned end (Au) segments by selectively removing the middle (Ag) segments. We precisely control and tune the size of this middle section for nanogap formation in the synthesis process. Using electric field across nanogaps between these nanoprobes, we capture NPs to electrically address and probe them at the nanoscale. This approach holds great promise for the construction of single NP devices with electrical nanoprobe contacts

Origami-Inspired Approaches for Biomedical Applications

Modern day biomedical applications require progressions that combine advanced technology with the conformability of naturally occurring, complex biosystems. These advancements yield conformational interactions between the biomedical devices and the biological organisms\u27 structures. Biomedical applications that adapt origami-inspired approaches have accrued aspired advances. Along with application-specific advantages, the most pertinent advances provided by origami-inspired strategies include voluminous structures with the ability to conform to biosystems, shape-shifting from two-dimensional (2D) to three-dimensional (3D) structures, and biocompatibility. Throughout this paper, the exploration of new studies, primarily within the past decade, with origami-based applications of biomedical devices, including their theories, experimental results, and plans for future testing are reviewed. This mini-review contains examples that aid the advancement of biomedical applications and hold promising future discoveries. The origami-inspired applications discussed within this paper are tissue scaffolds, drug delivery approaches, stents and catheters, implants, microfluidic devices, biosensors, and origami usage in surgery

Shaner leaves legacy of leadership, strong teaching

Radar range: standard. Max rain level: moderate rain

Potential benefits of healthy food and lifestyle policies for reducing coronary heart disease mortality in Turkish adults by 2025: a modelling study

Objective This study uses a modelling approach to compare the potential impact of future risk factor scenarios relating to smoking, physical activity levels, dietary salt, saturated fat intake, mean body mass index (BMI) levels, diabetes prevalence and fruit and vegetable (F&V) consumption on future coronary heart disease (CHD) mortality in Turkey for year 2025. Design A CHD mortality model previously developed and validated in Turkey was extended to predict potential trends in CHD mortality from 2008 to 2025. Setting Using risk factor trends data from recent surveys as a baseline, we modelled alternative evidence-based future risk factor scenarios (modest/ideal scenarios). Probabilistic sensitivity analyses were conducted to account for uncertainties. Subject Projected populations in 2025 (aged 25–84) of 54 million in Turkey. Results Assuming lower mortality, modest policy changes in risk factors would result in ∼25 635 (range: 20 290–31 125) fewer CHD deaths in the year 2025; 35.6% attributed to reductions in salt consumption, 20.9% to falls in diabetes, 14.6% to declines in saturated fat intake and 13.6% to increase in F&V intake. In the ideal scenario, 45 950 (range: 36 780–55 450) CHD deaths could be prevented in 2025. Again, 33.2% of this would be attributed to reductions in salt reduction, 19.8% to increases in F&V intake, 16.7% to reductions in saturated fat intake and 14.0% to the fall in diabetes prevalence. Conclusions Only modest risk factor changes in salt, saturated/unsaturated fats and F&V intake could prevent around 16 000 CHD deaths in the year 2025 in Turkey, even assuming mortality continues to decline. Implementation of population-based, multisectoral interventions to reduce salt and saturated fat consumption and increase F&V consumption should be scaled up in Turkey

Project-Risk Management and Decision Analysis in Maritime Maintenance and Repair

The purpose of this paper is to provide insights regarding the implementation of using Project Risk Management (PRM) and Decision Analysis (DA) in managing projects for complex systems such as maritime vessels. The PRM approach apprehends many forms of risk both internal and external within a given project and assists the manager in determining the level of importance of each individual project phase and component to optimize project success. Ship Maintenance and Repair project decision-making requires that risk management and risk analysis techniques be applied in order to guide management in making better decisions to meet ship service life perspective. The Life Cycle Assessment (LCA) approach to project management is used to identify the short term limitations of projects with respect to a product\u27s life cycle. There are many tools and techniques to assist project managers in implementing optimal solutions, but published statistics indicate failures to meet schedules and/or budgets are still common. The methodology for reducing risk and for determining how much contingency to add to reduce residual risk to an acceptable level will be discussed herein. This paper contributes to a discussion of empirical investigation centered across the areas of Project Management, Decision-Making, Reliability Centered Maintenance and Condition-Based Management