scholarly journals Design of a Guidable Cornering Light System for Faired Motorcycle

Author(s):  
Rohit Jadhav

Abstract: Today's engendering has a rage about faired bikes because they endeavour ergonomic glances as well as speeds. Although it has now graced a fact that most motorcycle accidents occur in darkness due to poor illumination and are more dangerous when the bike is cornering. As per the present contour of headlamps of fairing bikes, the headlamps become stable, giving rider vision at an upright position. These headlights do not provide enough illumination on bent roads and put riders in a vulnerable position. To overcome this dilemma, an alternative lighting system was needed. The goal of the project is to discover a cost-effective explication, increasing the safety and comfort of the rider. This called for cornering lights for faired bikes to persuade the road at the corner. The cornering lights serve riders by illuminating the shadowed area of the curve providing better vision. The Cornering lights can not only be useful in twilight but also bad weather, the rider can have a clear vision and control on the motorbike. The rider may react to the state of danger at an appropriate time. Keywords: Motorcycle Cornering Lights, Smart Headlights, Guidable headlight, Adaptive headlight, cornering headlight, safety technology, deflecting headlight.

2014 ◽  
Vol 668-669 ◽  
pp. 848-851
Author(s):  
Xiu Li Guan ◽  
Xiao Xue Xing ◽  
Yan Min Lei

Front-Lighting system of intelligent automobile can automatically provide the shape of lighting which is needed by car in present situation. Adjust and control the shape of lighting in bend. It can take different actions and automatic adjustment to the changes of vehicle driving, according to the road condition, time interval and weather variation .and thus it can realize the control. The paper introduces the AFS system structure diagram, working principle, and working process. It plays an important role in running safety at night.


Author(s):  
Waqar Tariq ◽  
Mohammad Lutfi Othman ◽  
Noor Izzri Abdul Wahab ◽  
Shamim Akhtar

Electricity transmission and distribution in most of the countries are needed to be improved by the construction of new networks. These improvements are not that much cost effective and if cost is tried to be reduced then the quality and efficiency of the system is compromised which is not suitable at all for the current system. In addition obtaining planning permission and carrying out construction is so much difficult in busy cities. The main objective of this research is to monitor and control frequency deviation. A simple MATLAB controlling and monitoring system is being developed and the ARDUINO DAQ card is used to calculate the frequency deviation. The purpose of respective research is basically based on a dummy load which is used to show the usage of particular equipment’s used in a home such as fridge, freezer ,oven , lighting system, and domestic wet appliances such as washer dryer  which are attached these to a DAQ and then to a controlling and monitoring GUI MATLAB based. However, this research is focused on the monitoring and controlling of the frequency deviation.


Algorithms ◽  
2020 ◽  
Vol 13 (11) ◽  
pp. 271
Author(s):  
Yajing Han ◽  
Dean Hu

Visual traffic surveillance using computer vision techniques can be noninvasive, automated and cost effective. Traffic surveillance systems with the ability to detect, count and classify vehicles can be employed in gathering traffic statistics and achieving better traffic control in intelligent transportation systems. This works well in daylight when the road users are clearly visible to the camera, but it often struggles when the visibility of the scene is impaired by insufficient lighting or bad weather conditions such as rain, snow, haze and fog. Therefore, in this paper, we design a dual input faster region-based convolutional neural network (RCNN) to make full use of the complementary advantages of color and thermal images to detect traffic objects in bad weather. Different from the previous detector, we used halfway fusion to fuse color and thermal images for traffic object detection. Besides, we adopt the polling from multiple layers method to adapt the characteristics of large size differences between objects of traffic targets to accurately identify targets of different sizes. The experimental results show that the present method improves the target recognition accuracy by 7.15% under normal weather conditions and 14.2% under bad weather conditions. This exhibits promising potential for implementation with real-world applications.


2018 ◽  
Vol 7 (2.8) ◽  
pp. 524 ◽  
Author(s):  
Annareddy Sravani ◽  
P Malarvezhi ◽  
R Dayana

In olden days street lights were not operated in an automatic way. Automation of street lights has become apparent these days. But we can notice that we do not require high intensity light during night hours, i.e. when there is no traffic, no people in the streets or on roads and even in the early mornings. As per requirement, the light intensity can be reduced using dimmer circuit. Light dependent resistor (LDR) sensors are used to sense the darkness and Passive Infrared (PIR) sensors are to detect the objects. Raspberry Pi (Master node) and Arduino (Slave node) will communicate each other and they help the proposed system to work more effectively. Current sensor and Voltage sensor are used to measure the current and voltage respectively. By reducing the intensity at these times, energy can be saved to some extent and the data is uploaded to the cloud. We can monitor and control the street lights in a smart way as per our requirement. Fault detection, minimization of cost, reducing the loss of electricity and man power are also possible. Hence, this proposed smart street lighting system will be helpful to the society in cost effective way.


2020 ◽  
pp. 87-97
Author(s):  
Sourish Chatterjee ◽  
Biswanath Roy

In an office space, an LED-based lighting system allows you to perform the function of a data transmitter. This article discusses the cost-effective design and development of a data-enabled LED driver that can transmit data along with its receiving part. In addition, this paper clearly outlines the application of the proposed VLC system in an office environment where ambient light interference is a severe issue of concern. The result shows satisfactory lighting characteristics in general for this area in terms of average horizontal illuminance and illuminance uniformity. At the same time, to evaluate real-time and static communication performance, Arduino interfaced MATLAB Simulink model is developed, which shows good communication performance in terms of BER (10–7) even in presence of ambient light noise with 6 dB signal to interference plus noise ratio. Our designed system is also flexible to work as a standalone lighting system, whenever data communication is not required.


2020 ◽  
Vol 2020 (3) ◽  
pp. 60408-1-60408-10
Author(s):  
Kenly Maldonado ◽  
Steve Simske

The principal objective of this research is to create a system that is quickly deployable, scalable, adaptable, and intelligent and provides cost-effective surveillance, both locally and globally. The intelligent surveillance system should be capable of rapid implementation to track (monitor) sensitive materials, i.e., radioactive or weapons stockpiles and person(s) within rooms, buildings, and/or areas in order to predict potential incidents proactively (versus reactively) through intelligence, locally and globally. The system will incorporate a combination of electronic systems that include commercial and modifiable off-the-shelf microcomputers to create a microcomputer cluster which acts as a mini supercomputer which leverages real-time data feed if a potential threat is present. Through programming, software, and intelligence (artificial intelligence, machine learning, and neural networks), the system should be capable of monitoring, tracking, and warning (communicating) the system observer operations (command and control) within a few minutes when sensitive materials are at potential risk for loss. The potential customer is government agencies looking to control sensitive materials and/or items in developing world markets intelligently, economically, and quickly.


2020 ◽  
Vol 11 (SPL1) ◽  
pp. 716-722
Author(s):  
Sneha Dhakite ◽  
Sadhana Misar Wajpeyi

The “Coronavirus disease 19 (COVID-19)” is caused by “Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2)”, a newly discovered member of the Coronaviridae family of viruses which is a highly communicable. There is no effective medical treatment till date for Coronavirus disease hence prevention is the best way to keep disease away. Rasayana proved to be highly efficacious and cost effective for the Prevention and Control of viral infections when vaccines and standard therapies are lacking. Rasayana Chikitsa is one of the eight branches of Ashtanga Ayurveda which helps to maintain healthy life style. Rasayana improves immunity and performs many vital functions of human body. Vyadhikshamatva that is immune mechanism of the body is involved in Prevention of the occurrence of a new disease and it also decreases the virulence and progression of an existing disease. In COVID-19 the Respiratory system mainly get affected which is evident from its symptoms like cold, cough and breathlessness. Here the drugs help in enhancing immune system and strengthening functions of Respiratory system can be useful. For this purpose, the Rasayana like Chyavanprasha, Agastya Haritaki, Pippali Rasayana, Guduchi, Yashtimadhu, Haridra, Ashwagandha, Tulsi are used. Rasayana working on Respiratory system are best for Prevention of Coronavirus and boosting immune system. Rasayana Chikitsa can be effective in the Prevention as well as reducing symptoms of COVID-19.


2020 ◽  
Author(s):  
Jagjit S Soar

he current COVID-19 pandemic now believed to be based on the mutation of the SARS-CoV virus (first reported in 2002) to SARS-CoV-2 emerging in 2019, is naturally causing extreme worry and concern around the world with sometimes mixed and incoherent messages on how to deal with it. There is a plethora of information from previous epidemics caused by other coronaviruses such as severe acute respiratory syndrome, SARS (2002) and Middle East respiratory syndrome MERS (2012) from which we can extrapolate guidance on how to deal with the current pandemic. In the current absence of specific pharmaceutical agents, we propose assessing the extended tools that we already possess in our biological armoury to combat, prevent and control the spread of this virus. Using a set of precise criteria to locate such possible contenders, we conducted literature searches to find compounds that met these criteria. We have now reduced this to a shortlist of three agents that may be the best candidates. We propose vitamin C, vitamin D and Curcumin fit our criteria well. These compounds are widely available to the general public. They are available online and over-the-counter as supplements. Otherwise healthy individuals are safely able to self-administer these agents as a prophylactic to protect themselves and to enhance their immune response. This would be especially desirable for the elderly and at risk groups. These agents can also be used as adjunct therapy, particularly for those who may have early symptoms. This preventative therapy could be implemented whilst awaiting specific pharmaceutical drugs to emerge as a treatment for COVID-19. Our suggested compounds are a highly cost-effective way to potentially reduce the mortality that is regretfully mounting as a result of COVID-19 infection. The biological mode of action and the dosing of these compounds are summarised.


Sensors ◽  
2021 ◽  
Vol 21 (11) ◽  
pp. 3639
Author(s):  
Abdelfateh Kerrouche ◽  
Taoufik Najeh ◽  
Pablo Jaen-Sola

Railway infrastructure plays a major role in providing the most cost-effective way to transport freight and passengers. The increase in train speed, traffic growth, heavier axles, and harsh environments make railway assets susceptible to degradation and failure. Railway switches and crossings (S&C) are a key element in any railway network, providing flexible traffic for trains to switch between tracks (through or turnout direction). S&C systems have complex structures, with many components, such as crossing parts, frogs, switchblades, and point machines. Many technologies (e.g., electrical, mechanical, and electronic devices) are used to operate and control S&C. These S&C systems are subject to failures and malfunctions that can cause delays, traffic disruptions, and even deadly accidents. Suitable field-based monitoring techniques to deal with fault detection in railway S&C systems are sought after. Wear is the major cause of S&C system failures. A novel measuring method to monitor excessive wear on the frog, as part of S&C, based on fiber Bragg grating (FBG) optical fiber sensors, is discussed in this paper. The developed solution is based on FBG sensors measuring the strain profile of the frog of S&C to determine wear size. A numerical model of a 3D prototype was developed through the finite element method, to define loading testing conditions, as well as for comparison with experimental tests. The sensors were examined under periodic and controlled loading tests. Results of this pilot study, based on simulation and laboratory tests, have shown a correlation for the static load. It was shown that the results of the experimental and the numerical studies were in good agreement.


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