Internet Privacy

The benefits of the Internet have come at some cost, one of which is a loss of privacy, which is often regarded as a moral right or a legal right. Internet privacy is primarily concerned with protecting user information. It is widely acknowledged as the top consideration in any online interaction. New threats to privacy and civil liberties are emerging daily and privacy practices are not one size fits all. This paper provides a brief introduction to online privacy

Urban growth assessment and its impact on deforestation in Bauchi metropolis, Nigeria using remote sensing and GIS techniques

Urban areas are rapidly expanding due to population growth and development, leading to deforestation and land degradation. This study employed remote sensing and GIS techniques to assess urban growth and its impact on deforestation in Bauchi metropolis, Nigeria within the last three decades (1986-2016). The study made use of Land sat images of four epochs; Thematic Mapper (TM) of 1986 and 1996, Enhanced Thematic Mapper of 2006, and Operational Land Imager (OLI) of 2016. Color compositions were made after which the images were geometrically and radio metrically restituted. The images were classified using maximum likelihood algorithm and the accuracy of the classification was assessed by cross-validation using confusion matrices and ground truthing by the use of a hand-held Global Positioning System (GPS). The classified images with their kappa indexes were TM of 1986 (0.83%) and 1996 (0.87%), ETM+ of 2006 (0.90%) and OLI of 2016 (0.92%), respectively. Post-classification comparisons and analyses were performed and the results revealed that changes have taken place in bare surface (+32.43%), built-up area (+565.24%), farm land (+66.42%), forest (-91.80%) and rock outcrop (-49.21%) in the metropolis between 1986 and 2016. The land cover features of the metropolis were reclassified into forest and non-forest for cross-tabulation analysis and the result of the analysis indicates a change-over of 14965.97Ha (39.68%) form forest to non-forest (deforestation) and that of 467.69Ha (1.24%) form non-forest to forest (afforestation) between 1986 and 2016. This shows a rapid increase in built-up area (urban growth) and rapid decrease in forest (deforestation), which may be attributed to lack of improper environmental protection strategy in place in the metropolis. The study demonstrates the potentialities of remote sensing and GIS in assessing urban growth and its impacts on deforestation. The outcome of the study can serve as input into a relationship model for predicting the impact of urban growth on deforestation

Pengaruh Penerapan Konsep Good Corporate Governance Terhadap Kinerja Non-Keuangan Di Kantor Pusat PT Asuransi Jasa Indonesia

Good corporate governance defines the correlation among corporate\u27s elements which can determine the performance of the corporation. By implementing GCG within the corporates, it is expected to increase corporate performance improvement in both financial and non-financial sector. The purposes of this research is to analyze how the implementation of GCG and the performance of PT Asuransi Jasa Indonesia and how the GCG\u27s influence towards corporate performance. The analytical method used in this research is multiple linear regression analysis. The analysis result shows that the GCG implementation was not significantly effect PT Asuransi Jasa Indonesia performance. Accountability has significantly effect to PT Asuransi Jasa Indonesia performance. The coefficient determination (R2) was 0,187 (18,7%) showed that GCG implementation was still has small contribution to PT Asuransi Jasa Indonesia performance

Finite Element Approach of Shielded, Suspended and Inverted Microstrip Lines

In this paper, we present finite element method (FEM) to investigate the electromagnetic analysis of two-dimensional (2D) shielded, suspended and inverted microstrip lines for microwave applications. In the proposed method, we specifically determine the values of capacitance per unit length, inductance per unit length, and characteristic impedance of the microstrip lines. Extensive simulation results are presented and some comparative results are given with other methods and found them to be in excellent agreement. We extend the analysis by designing our new model of shielded, inverted microstrip lines and compared it with shielded, suspended microstrip lines; we found them to be very close. Also, we determine the quasi-TEM spectral for the potential distribution of these microstrip lines

Assessment of length-weight relationship and condition factor of Synodontics omias (Cuvier, 1816) in River Komadougou, Northeast, Nigeria

Length-weight relationship and condition factor of Synodontics omias (Cuvier, 1816) was studied between June to November 2020 in River Komadougou, Northeast, Nigeria. A total of 350 fish species were collected from artisanal fishermen at selected landing sites within the study area. The morphometric and meristic characteristics examined varies whereas some meristic features such as pelvic and dorsal fin spine had a constant value of 1 each. The mean condition factor shows no significant difference (P 0.05) throughout the sampling period. A linear relationship was established W = -0.82L1.91 and significant at P 0.01 with b value indicating a negative allometric growth pattern.  The correlation coefficient (r2 = 0.7904) indicated that LWR model is reliable. This study provides baselines on length-weight relationship and condition factor of Synodontics omias in River Komadougou, thus further research should be encouraged on the water body for sustainable utilization, decision making and policy formulation

Keterbatasan Penggunaan Lingkaran Lengan Atas dalam Memonitor Status Gizi Wanita Hamil Berisiko Tinggi Melahirkan Bayi Berat Lahir Rendah

KETERBATASAN PENGGUNAAN LINGKARAN LENGAN ATAS DALAM MEMONITOR STATUS GIZI WANITA HAMIL BERISIKO TINGGI MELAHIRKAN BAYI BERAT LAHIR RENDA

Chitosan/silica composite membrane: adsorption of lead(II) Ion from aqueous solution

Chitosan membrane has the potential to separate lead(II) ions from aqueous solution. However, the kind of membrane has a drawback due to the low structural properties. Thus, this study investigates the role of silica in improving chitosan-based flat sheet membrane for removal of lead(II) ions from aqueous solution. The functional groups and structural morphologies were characterized using Fourier Transform Infrared-Attenuated Total Reflectance (FTIR-ATR) spectrometer and Scanning Electron Microscope (SEM), respectively. The membrane performance in terms of adsorption study was conducted at different pHs and initial concentration of lead(II) solution. The FTIR-ATR spectrum showed the existence of new absorption peak of chitosan/silica membrane. SEM images revealted the presence of microvoids on the cross-section of the chitosan/silica membrane whereas pure chitosan membrane possessed dense structure. The adsorption study showed that the composite membrane exhibited higher efficiency of lead(II) removal at optimum pH of 7.0 which was 89.27% as compared to 11.50% of pure chitosan membrane. The amount of lead(II) adsorbed onto the membrane was 57.60 mg/g. Therefore, it indicates the potential use of silica to improve the properties of chitosan membrane for removal of heavy metal from water solution

Reconocimiento óptico de fuentes en inglés en documentos de imágenes utilizando eigenfaces

Introduction: In this paper, a system for recognizing fonts has been designed and implemented. The system is based on the Eigenfaces method. Because font recognition works in conjunction with other methods like Optical Character Recognition (OCR), we used Decapod and OCRopus software as a framework to present the method. Materials and Methods: In our experiments, text typeset with three English fonts (Comic Sans MS, DejaVu Sans Condensed,Times New Roman) have been used. Results and Discussion: The system is tested thoroughly using synthetic and degraded data. The experimental results show that Eigenfaces algorithm is very good at recognizing fonts of synthetic clean data as well as degraded data. The correct recognition rate for synthetic data for Eigenfaces is 99% based on Euclidean Distance. The overall accuracy of Eigenfaces is 97% based on 6144 degraded samples and considering Euclidean Distance performance criterion. Conclusions: It is concluded from the experimental results that the Eigenfaces method is suitable for font recognition of degraded documents. The three percentage incorrect classification can be mediated by relying on intra-word font information