Acronym-Expansion Disambiguation for Intelligent Processing of Enterprise Information

An acronym is an abbreviation of several words in such a way that the abbreviation itself forms a pronounceable word. Acronyms occur frequently throughout various documents, especially those of a technical nature, for example, research papers and patents. While these acronyms can enhance document readability, in a variety of fields, they have a negative effect on business intelligence. To resolve this problem, we propose a method of acronym-expansion disambiguation to collect high-quality enterprise information. In experimental evaluations, we demonstrate its efficiency through the use of objective comparisons

Modal analysis of ship's mast structure using effective mass participation factor

Background/Objectives: Each structure tends to vibrate at particular frequencies, called resonant or natural frequencies. When a structure is excited by dynamic load with frequency coinciding one of its natural frequencies the structure experiences stresses and large displacements. In this paper effective mass participation factor criterion is used to solve the vibration problem in the ship mast. Methods/Statistical Analysis: The effective mass participation factor provides a measure of the energy contained within each resonant mode. Vibration problem originated when one of the antenna at top of mast was replaced by a new antenna with greater mass at same location. The overall mast structure started vibrating because of the resonance of natural frequencies of the mast structure with natural frequencies of rotary equipment. Findings: It caused interruption in sensitivity of equipment installed on the mast structure. Instead of fabricating the new mast structure, some alteration has been carried out on the basis of results obtained from modal analysis. Application/Improvements: The study is very effective to overcome the vibration problems in ship mast

An Efficient Lightweight Image Encryption Scheme Using Multichaos

With an immense increase in Internet multimedia applications over the past few years, digital content such as digital images are stored and shared over global networks, the probability for information leakage and illegal modifications to the digital content is at high risk. These digital images are transferred using the network bandwidth; therefore, secure encryption schemes facilitate both information security and bandwidth issues. Hence, a state-of-the-art lightweight information security methodology is required to address this challenge. The main objective of this work is to develop a lightweight nonlinear mechanism for digital image security using chaos theory. The proposed scheme starts by changing a plain image into an encrypted image to improve its security. A block cipher, using lightweight chaos, has been added to achieve this objective for digital image security. We utilized multiple chaotic maps to generate random keys for each channel. Also, Arnold cat map and chaotic gingerbread map are used to add confusion and diffusion. During the permutation stage, image pixels are permuted, while in diffusion stage, pixels are distorted utilizing gingerbread map to add more security. The proposed scheme has been validated using different security parameter tests such as correlation coefficient tests (CC), whose results have been observed closer to zero and information entropy (IE) value is 7.99, respectively, which is almost equal to the ideal value of 8. Moreover, number of pixels changing rate (NPCR) obtained value is higher than 99.50%, while the unified average changing intensity (UACI) is 33.33. Other parameters such as mean absolute error (MAE), mean square error (MSE), lower value of peak to signal noise ratio (PSNR), structural content (SC), maximum difference (MD), average difference (AD), normalized cross-correlation (NCC), and histogram analysis (HA) is tested. The computed values of the proposed scheme are better. The achieved results after comparison with existing schemes highlight that the proposed scheme is highly secure, lightweight, and feasible for real-time communications

Towards a Hybrid Deep Learning Model for Anomalous Activities Detection in Internet of Things Networks

The tremendous number of Internet of Things (IoT) applications, with their ubiquity, has provided us with unprecedented productivity and simplified our daily life. At the same time, the insecurity of these technologies ensures that our daily lives are surrounded by vulnerable computers, allowing for the launch of multiple attacks via large-scale botnets through the IoT. These attacks have been successful in achieving their heinous objectives. A strong identification strategy is essential to keep devices secured. This paper proposes and implements a model for anomaly-based intrusion detection in IoT networks that uses a convolutional neural network (CNN) and gated recurrent unit (GRU) to detect and classify binary and multiclass IoT network data. The proposed model is validated using the BoT-IoT, IoT Network Intrusion, MQTT-IoT-IDS2020, and IoT-23 intrusion detection datasets. Our proposed binary and multiclass classification model achieved an exceptionally high level of accuracy, precision, recall, and F1 score

نقش تمرینات ورزشی در افزایش بهره‌وری واکسیناسیون بر علیه کووید-19

Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2), a new member of the human coronavirus family that was declared a pandemic in March 2020 by the World Health Organization (WHO), has caused more of the 400 million cases and 5 million deaths worldwide. Vaccines are considered the main hope in stopping and ending the COVID-19 epidemic. The success of vaccines depends largely on immunological memory. People at high risk for COVID-19 re-infection show no evidence of B-cell memory. Also, 20% of infected patients do not develop an antibody response. Clinical trials and cross-sectional studies have reported different results on the effect of exercise on vaccination performance. The aim of this review study is to show that exercise plays an important role in preventing re-infection and creating better protective responses after vaccination. The results showed that regular exercise training increased the response of secondary B cell memory antibodies and reduced the severity of re-infection and adverse effects of vaccines.سندرم حاد تنفسی کروناویروس 2 (SARS-CoV-2)، یکی از اعضای جدید خانواده کروناویروس‌­های انسانی که در مارس 2020 سازمان جهانی بهداشت (WHO) شیوع آن را به عنوان یک بیماری همه­‌گیر اعلام کرد، تا به امروز باعث بیش از ۴۰۰ میلیون مورد ابتلا و ۵ میلیون مرگ در سراسر جهان شده است. واکسن­‌ها امید اصلی در توقف و پایان دادن به همه­‌گیری کووید-19 در نظر گرفته می­‌شوند. موفقیت واکسن­‌ها عمدتاً به حافظه ایمونولوژیک بستگی دارد. افرادی که در معرض خطر بالای ابتلای مجدد به کووید-19 هستند، هیچ مدرکی مبنی بر داشتن حافظه سلول B را نشان نمی­‌دهند. همچنین 20 درصد از بیماران مبتلا پاسخ آنتی‌­بادی ایجاد نمی­‌کنند. کارآزمایی‌های بالینی و مطالعات مقطعی نتایج متفاوتی را در مورد تأثیر تمرینات ورزشی بر عملکرد واکسیناسیون گزارش کرده­‌اند. هدف از این مطالعه مروری، بررسی این است که نشان دهد تمرینات ورزشی نقش مهمی برای پیشگیری از ابتلای مجدد و ایجاد پاسخ‌های محافظتی بهتر پس از واکسیناسیون دارند. نتایج نشان داد تمرینات ورزشی منظم باعث افزایش پاسخ آنتی­‌بادی ثانویه حافظه سلول B و کاهش شدت عفونت مجدد و عوارض نامطلوب واکسن‌­ها می­‌شود

Anions effect on the low temperature growth of ZnO nanostructures

Seed mediated aqueous chemical growth (ACG) route was used for the growth of ZnO nanostructures on Si substrate in four different growth mediums. The growth medium has shown to affect the morphology and the size of the different nanostructures. We observed that the medium containing zinc nitrate anions yields the nanorods, in a medium containing zinc acetate anions nano-candles are obtained. While in a medium containing zinc chloride anions ZnO nano-discs were obtained and in a medium containing zinc sulfate anions nano-flakes are achieved. Growth in these different mediums has also shown effect on the optical emission characteristics of the different ZnO nanostructures

Analysing variations in employee empowerment in Indonesia

This thesis aims to provide an examination of theory and practice of empowerment in an Indonesian context. It develops a theoretical analysis of empowerment based on literature from several disciplines including organisational behaviour, human resource management, community psychology, and political science. It integrates perspectives by taking advantage of the diversity offered by these disciplines, while recognising the limitations of one discipline, in order to produce a richly contextualised understanding of empowerment. As a consequence, this study also combines their different methodologies. It consists of four cases of manufacturing plants in Indonesia. The empirical work involved a survey of employees, interviews with management and employees, and analysis of corporate documents.EThOS - Electronic Theses Online ServiceGBUnited Kingdo