American Scientific Research Journal for Engineering, Technology, and Sciences (ASRJETS)

Analysis and Research of 2DPSK Signal Reception Based on Stochastic Resonance System under Levy Noise

2020-09-04T18:02:56+00:00

Under the background of Levy noise, a new method for coherent demodulation of 2DPSK signal based on the bistable stochastic resonance system model is proposed to solve the problem of poor quality of 2DPSK signal coherent demodulation. Comparing the output signals of the bistable stochastic resonance system model and the traditional model after passing through various components, the analysis shows that the frequency spectrum amplitude of the carrier signal after passing through the bistable stochastic resonance system model is approximately higher than that of the traditional model. 1.26 times. The error code of the output signal after demodulation by the new method is less than that of the traditional model after demodulation, and the signal to noise ratio is improved by 12.5dB. The simulation experiment results prove that the bistable stochastic resonance nonlinear coherent demodulation method effectively improves the transmission quality of 2DPSK signals.

A Systematic Integration and Simulation of Transportation Network to Asses Efficiency Maximization: A Case of Benapole Land Port, Bangladesh

2020-09-04T18:22:26+00:00

Systematic transportation network and orderly circulation system is vital for the effective functioning of a land port facility. Benapole Port, the largest land port of entry in Bangladesh, located on Bangladesh- India border in Jashore. It handles most of the cross-border trade as well as a large number of passengers and trucks of goods are passed through this point every day. Due to lack of systematic organization and orderly traffic circulation control the port facility is unable to function at its full efficiency, resulting in traffic congestions, processing delay and systematic losses. The key challenge is to resolve the circulation network adequately and systematically to maneuver the cross-border traffic and cargo by the means of providing well organized traffic network, compaction of facilities, dedicated circulation system and smooth process flow of port activities. Through conduction of extensive site survey and in-depth data analysis the fundamental issues and remedial requirements forecasts are identified. By the means of computer aided simulation for comparison between multiple alternatives of traffic network distribution and circulation system the possible most suitable alternative can be assessed. The efficiency of this prevailed circulation system is supported by the results of the simulation, which can be able to optimize the addressed issues, also ensures maximized efficiency of the port functioning. Furthermore, either as a goods or tourists exchange point, Benapole Port has paramount importance and have potential to become a landmark establishment.

Teaching Practices in Mathematics During COVID-19 Pandemic: Challenges for Technological Inclusion in a Rural Brazilian School

2020-09-05T08:37:24+00:00

The pandemic caused by COVID-19, on a global scale, brought an unprecedented situation for students from all over the world: the closure of schools. This study presents this theme under the perspective of a rural Brazilian school, located in a town in the interior of the state of Rio de Janeiro. Since the closure of schools as a health strategy for the control of the pandemic, the government of the state of Rio de Janeiro adopted the distance learning for school activities, most of which was achieved through technological mediation. This strategy to face the problem highlight reflections on inequality of access to the internet and the different roles played by the school, in addition to cognitive aspects. Considering as a research object the class of ninth grade of elementary school, and as a research theme their mathematics activities in distance learning, it was possible, through a case study, to analyze advances and setbacks in the learning proposal implemented. It is concluded that Brazil, due to its extensive territorial range and multiple specificities, is not yet prepared to legitimize the use of pedagogical practices in mathematics mediated by technology. Investments in infrastructure and teacher training are necessary so that pedagogical proposals mediated by technology can effectively contribute to the training of students.

Agricultural Risks and Social Vulnerability in Rural Areas in The Commune of Houéyogbé in South-Benin

2020-09-05T09:02:08+00:00

The present research aims at studying the social vulnerability of the agricultural risks in the Commune of Houéyogbé The methodological step used is articulated around the analysis and, their treatment data-gathering of the results. The data-gathering consisted of the information retrieval and of investigation of ground by using the individual talks and the method of x-ray group. The statistics heights of rains and the data hydrometric of the period 1981-2010 then the pedo-geomorphological and agricultural data of same period (SCDA Houéyogbé) made it possible to study the agricultural risks The data and information resulting from the information retrieval and the socio-anthropological investigations made it possible to apprehend the social vulnerability of the rural populations to the agricultural risks.¶The matrix of appreciation of the vulnerability made it possible to determine the current and future vulnerability rural communities (for example, the level of high impact and low capacity of adaptation give the high level of vulnerability).¶With the latter, the strategies of mitigation locally installation are added (early harvest, temporary migration towards the no flooded grounds, etc).¶Moreover, the data and information relating to the agricultural risk management collected with the seat of the specialized organizations such as the ANPC and Caritas-Benign made it possible to propose suitable mechanisms of management.¶

Recent Applications of Deep Learning Algorithms in Medical Image Analysis

2020-09-09T07:13:32+00:00

Advances in deep learning have enabled researchers in the field of medical imaging to employ such techniques for various applications, including early diagnosis of different diseases. Deep learning techniques such as convolutional neural networks offer the capability of extracting invariant features from images that can improve the performance of most predictive models in medical and diagnostic imaging. This work concentrates on reviewing deep learning architectures along with medical imaging modalities where the crucial applications of such algorithms, including image classification and segmentation, are discussed. Also, brain imaging as a branch of medical imaging which allows scientists to explore the structure and function of the brain is explored, and the applications of deep learning to early diagnose Alzheimer’s Disease, and Autism as the most critical brain disorders are studied. Moreover, the recent research findings revealed that employing deep learning-based semantic segmentation techniques could significantly improve the accuracy of models developed for brain tumor detection. Such advances in early diagnosis of disorders and tumors encourage medical imaging practitioners to implement software applications assisting them to improve their decision-making process.

Sustainability Assessment: Offsetting Carbon Emissions from Energy Use at the Orthodox Academy of Crete (OAC)

2020-09-09T07:19:57+00:00

Mitigation of climate change and development of ecological practices is an important goal in religious organizations. Current work aims in the investigation of the possibility of offsetting the net carbon emissions due to energy use in the Orthodox Academy of Crete (OAC), Greece. Energy generated by fossil fuels and renewable energy sources is currently used in the premises of the Academy. The total annual energy consumption and the energy sources currently used in the religious organization are initially estimated. Various future scenarios are investigated regarding energy consumption in the Academy, energy sources used and their carbon emissions, as well as the possibility of carbon emissions sequestration with various tree plantations. The annual energy consumption in the Academy has been estimated at 264,257 KWh while its energy consumption per covered area is 31.31 KWh/m². Among various energy sources used, electricity has the highest share at 95.76%, while 32.47% of the overall energy consumption is currently generated by a solar-PV system installed on-site. It is indicated that the combined use of energy-saving techniques and technologies, the higher use of various renewable energy sources and the sequestration of any remaining carbon emissions with tree plantations could eliminate all carbon emissions due to energy use in the Academy. The most appropriate sustainable energy technologies are solar-thermal, solar-PV and high efficiency heat pumps which are currently mature, reliable and cost-effective. Additionally olive tree orchards, carob tree orchards and Eucalyptus tree plantations could be created for carbon emissions sequestration. It has been concluded that with the reduction of the current energy consumption by 20%, the installation of a solar-PV system at 50 KW_p, and the creation of an olive tree orchard at 14 ha, the net annual carbon emissions due to energy use in the Academy could be eliminated. The results indicate the way that the Orthodox Academy of Crete could zero its impacts on climate change due to energy use in its premises.

Comparison of Pull-Out Strength Behavior for Chemical Adhesive Anchors Installed in Concrete

2020-09-09T07:24:56+00:00

Post installed reinforcement is widely used in the world as well as Bangladesh because of the need for it in rehabilitation and strengthening work. It help to contribute at the efficiency in the cost of construction in general and offer a level of confidence on the structural integrity of building and civil engineering infrastructural projects. Engineers need to be confident in the performance of adhesives anchor systems to be used where adhesives involved as a bonding agent between steel reinforcement bars and concrete. This research is investigated the effectiveness of several sorts of adhesives utilized in post-installed rebar connection under pull-out test. The cylindrical samples (36 + 12 Nos) of 15cm diameter 30 cm height with two different proportion ratio of ingredients for preparing concrete where brick chips as coarse aggregates with two different anchors grade (400W &500W) are used. The control samples (12 Nos) are the cast in-place rebar concrete specimens while other samples (36 Nos) are post rebar-installed concrete specimens where chemical adhesives like fischer, INDEX and mortar are used as bonding agents. The findings show that the pull-out load values are higher for lower reinforcement grade and lower amount of aggregates in concrete by applying chemical adhesive.

The Employee’s Performance: A Study of Construct Validity and Reliability

2020-09-09T07:45:38+00:00

This study aims to test the validity and reliability of the employee performance scale and test aspects and indicators that can form an employee performance variable. Employee performance is measured by three aspects, namely work result, discipline, and responsibility. This study's population were all employees who served in the operating room of Hospital "X" in Yogyakarta, and the number of samples in this study was 61 operating room employees at this Hospital. The sampling technique is done with simple random sampling. Data collection methods use an employee performance scale. The research data were analyzed with Structural Equation Modelling (SEM) through the SmartPLS 3.2.8 program. Based on the data analysis results, the aspects and indicators that make up the employee's performance variables are declared valid and reliable. The most dominant aspect that reflects employee performance variables is discipline with loading factor 0.860, and the weakest aspect that reflects employee performance variables is the work result with a loading factor of 0.780. This shows that all aspects and indicators are able to reflect and shape employee performance variables. Thus, the measurement model can be accepted because the theory that describes employee performance variables fit with empirical data obtained from the subject.

Design and Implementation of a Mobile-Based Home Security System

2020-09-09T07:52:14+00:00

The security of homes and properties has always been a crucial concern as the rate of burglary and home breaking has been on the increase all through the years. Although various solutions have been proposed to tackle the problem, burglary and home breaking are still rife everywhere every day. The proposed research is a low-cost, highly configurable, and mobile home security system that secures homes from illegal entities attempting to gain illegal entry into such homes. The system was implemented using Arduino with ATmega2560 microcontroller, which was interfaced with a Passive Infrared (PIR) sensor, a 16x2 Liquid Crystal Display (LCD) screen, a 4x4 matrix keypad, a Global System for Mobile Communication (GSM) module, and a burglar alarm. The physical home security system was simulated using Proteus 8 Professional simulation software, while Arduino Integrated Development Environment (AIDE) and the C programming language were used to program the microcontroller instructions on the Arduino ATmega2560 microcontroller. Furthermore, Android Studio and the Java programming language were used to develop an Android mobile application to control and interact with the physical home security system. The results from the system were depicted in snapshots taken during the implementation and testing of the system. Judging from the research findings, it is imperative to adopt this system as a means of effectively securing homes from illegal intrusion. Further research could be done as an add-on to ensure security from internal threats within homes, such as fire and gas leakages with the addition of more sensors.

Ecological Study of Vanellus indicus in District Narowal, Pakistan

2020-09-11T05:31:08+00:00

Red wattled lapwing is commonly found and endemic species of Asian agricultural lands. Its preferred habitat is airy lands, rural and even urban areas. The main aims of current investigatory effort were the observation of different parameters of breeding ecology of Vanellus indicus including breeding sites, incubation period, the clutch size, survival rate of chicks and possible reasons of their mortality which are localized in Narowal district. Red wattled lapwings forage on several types of insects, snails, seeds, and of invertebrates. Experimental observations highlight that the annual breeding season is of average 26-30 days of V. Indicus begins from the March and till the end of August. Moreover, the weight of their eggs falls between 22.0 to 28.0g. These findings about local species may serve for next experimental designs based of on V. indicus and further focus should be on those factors which may improve its breeding. Similarly, the estimation of feeding preferences of this species can directly help in low cost biological control management for crops.

Epidemiology of Oral Cancer in Pakistan

2020-09-11T05:37:40+00:00

Oral carcinoma is one of the most frequently reported form of cancer in Pakistan. In time oncogenic prognosis facilities are still available in various regions countrywide. Provincial comparison indicates that more than 67% cases of oral squamous cancer are reported from Punjab whereas ratio in KPK is also high than Sindh and Baluchistan. The prevalence of this growing ailment can be minimized only by collaborative efforts of both government and general public regarding awareness of oral hygiene, causes of oral and esophageal carcinogenesis, early symptoms of this disease and its management.

Tax Insights from Latin American and Caribbean in the Context of COVID-19

2020-09-15T19:42:20+00:00

Appearing in early 2020, the Covid-19 pandemic has forced Latin American and Caribbean (LAC) countries to implement tax measures to support taxpayers and sustain tax revenue through the outbreak. Policy makers need to assess the implementation of these measures and future policies while considering current issues such as lack of fiscal space, shortage of economic flows, rushing digitalization and falling tax morale in the region. This contribution covers the current scenario in LAC and provides tax insights to be considered as the region moves forward after the crisis.