scholarly journals Reflexive Engine to Lock the System for Driving While Intoxicated – Simulation by Using LabVIEW

Author(s):  
Kammara Bharath Kumar ◽  
Ch Sudha Mani ◽  
Mohd Abdul Naqi ◽  
S Mallesh Narayana

<p><strong>Drunken driving is a major issue due to which many road accidents are occurring. To overcome this many researches are going on and we also tried to develop a reflexive engine locking system In this paper we have developed a system through which when a person tries to drive by consuming alcohol will experience a automatic engine lock. By implementing this we can save lives of passengers as well as pedestrians and other people too. Today situation is worsening like for every thirty minutes accidents are happening and taking lives of many innocent people. To avoid this we are trying to implement a prototype for alcohol detection for drunk and drive. Based on threshold set, alcohol breath analyzer sense level of alcohol consumed by the driver and if it crosses the limit set it will automatically locks the engine. Due to drowsiness of driver and consumption of alcohol more number of accidents are happening. Because of this more lives are at risk. This design implements a model which saves lives of people inside and outside the vehicle.</strong></p><p><strong> </strong></p>

2014 ◽  
Vol 37 (4) ◽  
pp. 376-377 ◽  
Author(s):  
Yael Sela ◽  
Todd K. Shackelford

AbstractLankford asserts that suicide terrorism is attributable to suicidality. We argue in this commentary that this assertion is not well supported theoretically or empirically. In addition, we suggest that failure to acknowledge religious beliefs as motivationally causal for suicide terrorism may place innocent people at risk of murder in the service of political correctness and multiculturalism.


2020 ◽  
Vol 10 ◽  
pp. 73-77
Author(s):  
Vladimir I. Mayorov ◽  
◽  
Viktor V. Denisenko ◽  

The reviewed work is devoted to the administrative and legal ban on driving while intoxicated in the Russian Federation. The author proposes to optimize the administrative and jurisdictional activities of the internal Affairs bodies to improve the administrative and legal counteraction to negative manifestations, such as driving while intoxicated and their consequences in the form of road accidents.


Author(s):  
K. Maheswari ◽  
U. Madhumitha ◽  
S. Madhusurya ◽  
T. Divya

Internet of Things (IoT) consists of smart devices which can sense the environment and performs the data interaction with the users by handling the large volume of data and also provide the numerous services to the users. It also plays the significant role in Intelligent Transportation System (ITS) using the Cognition ability. One of the primary causes for the road accidents is consumption of alcohol. Driving under the influence (DUI) or Driving While Intoxicated (DWI), and involves operating a vehicle with Blood Alcohol Content (BAC) level of at least 0.08 percent is considered as the punishable offense. In order to identify and prevent the driving with alcohol consumption, the ITS system can be designed with IoT based smart helmet system. The IoT system performs the data validation using the Bayesian Algorithm which significantly detects the alcohol consumption of the rider. And the system also provides the provision to control and ride the bike if and only if the rider does not consume the alcohol.


Road accident is an unintended incident which is responsible for deaths of people worldwide. According to National Crime Records Bureau (NCRB), more than 1, 35,000 people die every year annually in Indian road accidents. The most significant cause is drunken driving and not wearing helmets while driving. The main objective here is to eradicate drunken driving and helmetless driving. In this regard, an attempt has been made by using microcontroller assisted RF transmitter and receiver unit. The IR sensor detects the presence of helmet on the head. MQ3 alcohol sensor detects the alcohol level. The comparator analyse the values and gives command to relay circuit. Thus the starting of two wheelers is controlled by the application of sensors. In addition to this, a motion sensor has also been incorporated to inform the driver about the presence of nearby vehicles.


2015 ◽  
Vol 125 (3) ◽  
pp. 173-176
Author(s):  
Krzysztof Goniewicz ◽  
Mariusz Goniewicz ◽  
Witold Pawłowski ◽  
Piotr Fiedor

Abstract The first recorded road fatality happened over 140 years ago. Since then, road accidents have become one of the main causes of concern in almost every country in the world. Nowadays, fatal motor vehicle crashes occur at an interval of 50 seconds and injuries happen every two seconds. According to the WHO, the world road death toll is nearly 1.3 million and 20-50 million of people have been badly injured in road accidents and usually require long and expensive treatment. This paper looks at the issue of road accidents in the earliest days of the automotive industry. The article looks at the first laws, which were introduced to improve road safety. Virtually every member of society is somewhat affected by road transport. All traffic participants are at risk of an accident to a certain degree which is why reducing this risk should become a priority.


2014 ◽  
Vol 1 (1) ◽  
pp. 112-121 ◽  
Author(s):  
Saul M. Kassin

In recent years, DNA exoneration cases have shed light on the problem of false confessions and the wrongful convictions that result. Drawing on basic psychological principles and methods, an extensive body of research has focused on the psychology of confessions. This article describes the processes of interrogation by which police assess whether a suspect is lying or telling the truth and the techniques used to elicit confessions from those deemed deceptive. The problem of false confessions emphasizes personal and situational factors that put innocent people at risk in the interrogation room. Turning from the causes of false confessions to their consequences, research shows that confession evidence can bias juries, judges, lay witnesses, and forensic examiners. Finally, empirically based proposals for the reform of policy and practice include a call for the mandatory video recording of interrogations, blind testing in forensic crime labs, and use of confession experts in court.


The number of accidents in the world is increasing day by day and most of these accidents are effectuated due to Driving While Intoxicated (DWI). Therefore, since the death due to the Drunken-Driving or Driving Under the Influence (DUI) of alcohol has assumed proportion larger(60%) than one can visualize. In order to combat such life-risking psroblems, we have designed a mock-up. This safety serious system is actualized using ARDUINO and the main unit of this project is alcohol detecting sensor. Here alcohol sensor(MQ3) is used in a steering wheel and also in the passenger seat to sense the alcohol molecules present inside the vehicle. When sensor equipped in a steering wheel senses the alcohol content (i.e)., when the level of alcohol of driver crosses a permissible limit, fails the attempt of the driver to start the engine irrespective of the passenger. To thwart the accidents due to immediate engine failure, a timer is proposed in the exemplary. This framework is also embodied with widely used GSM MODEM and it will automatically send the distress message to the owner of the vehicle or to the family member


Author(s):  
A. Olsen ◽  
J.C.H. Spence ◽  
P. Petroff

Since the point resolution of the JEOL 200CX electron microscope is up = 2.6Å it is not possible to obtain a true structure image of any of the III-V or elemental semiconductors with this machine. Since the information resolution limit set by electronic instability (1) u0 = (2/πλΔ)½ = 1.4Å for Δ = 50Å, it is however possible to obtain, by choice of focus and thickness, clear lattice images both resembling (see figure 2(b)), and not resembling, the true crystal structure (see (2) for an example of a Fourier image which is structurally incorrect). The crucial difficulty in using the information between Up and u0 is the fractional accuracy with which Af and Cs must be determined, and these accuracies Δff/4Δf = (2λu2Δf)-1 and ΔCS/CS = (λ3u4Cs)-1 (for a π/4 phase change, Δff the Fourier image period) are strongly dependent on spatial frequency u. Note that ΔCs(up)/Cs ≈ 10%, independent of CS and λ. Note also that the number n of identical high contrast spurious Fourier images within the depth of field Δz = (αu)-1 (α beam divergence) decreases with increasing high voltage, since n = 2Δz/Δff = θ/α = λu/α (θ the scattering angle). Thus image matching becomes easier in semiconductors at higher voltage because there are fewer high contrast identical images in any focal series.


1998 ◽  
Vol 29 (2) ◽  
pp. 109-116 ◽  
Author(s):  
Margie Gilbertson ◽  
Ronald K. Bramlett

The purpose of this study was to investigate informal phonological awareness measures as predictors of first-grade broad reading ability. Subjects were 91 former Head Start students who were administered standardized assessments of cognitive ability and receptive vocabulary, and informal phonological awareness measures during kindergarten and early first grade. Regression analyses indicated that three phonological awareness tasks, Invented Spelling, Categorization, and Blending, were the most predictive of standardized reading measures obtained at the end of first grade. Discriminant analyses indicated that these three phonological awareness tasks correctly identified at-risk students with 92% accuracy. Clinical use of a cutoff score for these measures is suggested, along with general intervention guidelines for practicing clinicians.


2020 ◽  
Vol 29 (3) ◽  
pp. 1283-1300
Author(s):  
Xigrid T. Soto ◽  
Andres Crucet-Choi ◽  
Howard Goldstein

Purpose Preschoolers' phonological awareness (PA) and alphabet knowledge (AK) skills are two of the strongest predictors of future reading. Despite evidence that providing at-risk preschoolers with timely emergent literacy interventions can prevent academic difficulties, there is a scarcity of research focusing on Latinx preschoolers who are dual language learners. Despite evidence of benefits of providing Latinxs with Spanish emergent literacy instruction, few studies include preschoolers. This study examined the effects of a supplemental Spanish PA and AK intervention on the dual emergent literacy skills of at-risk Latinx preschoolers. Method A multiple probe design across four units of instruction evaluated the effects of a Spanish supplemental emergent literacy intervention that explicitly facilitated generalizations to English. Four Latinx preschoolers with limited emergent literacy skills in Spanish and English participated in this study. Bilingual researchers delivered scripted lessons targeting PA and AK skills in individual or small groups for 12–17 weeks. Results Children made large gains as each PA skill was introduced into intervention and generalized the PA skills they learned from Spanish to English. They also improved their English initial sound identification skills, a phonemic awareness task, when instruction was delivered in Spanish but with English words. Children made small to moderate gains in their Spanish letter naming and letter–sound correspondence skills and in generalizing this knowledge to English. Conclusion These findings provide preliminary evidence Latinx preschoolers who are dual language learners benefit from emergent literacy instruction that promotes their bilingual and biliterate development.


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