The American Dream - 734 Words

In Arthur Miller’s play, Death of a Salesman he critiques the American Dream. He has previously discussed how it has changed through time and demonstrates its effects in the play. Author Miller uses lies to prevail his message of how the classic American Dream has been tainted. According to Arthur Miller, the American dream has changed drastically throughout time. It began in 1620 with the Mayflower Compact. It originally was about survival but after more than a century and the Declaration of Independence it became Life, Liberty, and the Pursuit of Happiness. Afterwards, it also became territorial expansion and manifest destiny. However, as industrialization took over and the frontiers shrank the American Dream shifted gears. It became†¦show more content†¦Willy believes that his mistress was justifiable because he was lonely. I was lonely, I was terribly lonely. (120) this is critical because it shows the audience that Willy only believes in the money part of the modern American Dream and not the family part of it. In the passage he has once again lied to himself. The American Dream creates false expectations for the Loman family. Bernard warns Willy about Biff’s struggle in math â€Å"Theyre gonna flunk him...† (33) But Willy expect s his boys to be the best and so Willy does nothing about it â€Å"Dont be a pest, what an anemic! (33) This quote shows that Willy knew of the problem but expected his boys to fix it themselves. Willy also over-hypes his boys because he believes being well liked is important and also it makes them sound better. Bernard can get the best marks in school... but when he gets out... you are going to be five times ahead of him. (33) This shows that Willy believes in his boys too much and doesnt actually prepare them. This criticizes the dream because most people believe that their children will be perfect but Miller shows that if you believe in the dream that your children will be perfect magically they will end up nowhere. Author Miller is not the only person to criticize the American Dream. Fitzgerald also criticizes the American DreamShow MoreRelatedImmigrants And The American Dream1362 Words   |  6 PagesImmigrants and the American Dream In the article â€Å"The American Dream†, by James Truslow Adams in The Sundance Reader book, he stated that the American dream is that dream of a land in which life should be better and richer and fuller for everyone, with opportunity for each according to ability or achievement. It is a difficult dream for the European upper classes to interpret adequately, and too many of us ourselves have grown weary and mistrustful of it. 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Although the main ideas of the American Dream remain the same to be educated, economically sound, healthy, to have a family, and equal rights. Many great films and works of literature were created to show case all the different ideas people have for their American Dream. The film â€Å"Grapes of Wrath† directed by John Ford and the poem â€Å"I Will Fight No More Forever† by Chief Joseph, both depictRead More Destruction of the American Dream Essay2145 Words   |  9 PagesDestruction of the American Dream I’ve talked about it in the past, the destruction of the American Dream. Always, there have been papers, writings, and thoughts that quantify a particular section of its ultimate demise, be it due to money, education, or sexuality. Maybe the destruction cannot be viewed as a singular event or cause. Perhaps instead it must be examined as a whole process, the decay and ultimate elimination of a dream. Self destruction, if you will†¦ Mr. Self Destruct Read MoreSuccess As One Of The American Dream1137 Words   |  5 PagesApril 2015 Success as One of The American Dream When we hear the word â€Å"success†, we often think of wealth and money. To some people, the embodiment of being success is earning a lot of money. In fact, the concept of success is primarily based on how much money a person earns. However, each person views the definition of success differently. One way to define success is something that has more to do with flash than it does with substance. John Wooden, an American basketball player and coach viewRead MoreJim Cullen And The American Dream2081 Words   |  9 Pages The American Dream, as defined by Cullen, is starting your goal off with a little and ending with more; it s like a business, you invest in it in order to gain more money. Usually, people will define the American Dream as being able to achieve your goal because everyone is offered opportunities. Cullen does acknowledge that people are born with different opportunities, so he talks about the good life. The good life describes different factors that determine your opportunities. Throughout the otherRead MoreFactors Influencing The American Dream1834 Words   |  8 Pagesindividual to succumb or to not succumb to the seductions of crime. These three factors are brilliantly portrayed in the television show, Breaking Bad and the novel, The Stick Up Kids. The American Dream is what many American citizens strive for. However, not all of those citizens are able to achieve the American Dream through a legal pathway. The reason an indivudal may not being able to do so is because of his or her background factors. It is important to note that background factors are a fractionRead MoreShark Tank And The American Dream1755 Words   |  8 PagesShark Tank and The American Dream The TV show Shark tank embodies everything the American dream represents. The show obtains successful Entrepreneurs ready to invest their own money into other Americans wanting to be just like them, reaching the American dream and become a successful entrepreneur. The show presents entrepreneurs working towards the goal of creating a business to not only gain wealth but also change the way we live today. The show is to keep the American dream alive and well while

Adolescence Identity And Identity - 803 Words

Adolescence Period (12 to19) The next stage was mention a little above dealing with identity. Erikson stage in adolescence is identity vs. role confusion, this is where adolescence are trying to figure out who they are, what they want to do with their life or they or confuse with the appropriate identity roles. Erikson explains this stage that adolescence stumble trying to find the right identity by going through different roles till they find the right one. Once the adolescence is successful, it helps them able to create a foundation in the future development (Feldman, 2014). During this development stage it is very difficult due to many transitions figuring out who you are, more peer pressure, and other influences that can impact the individual. In this stage Laurie starting at twelve, went through many identity roles or styles with her friends. 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Acoustic Signal Based Traffic Density Engineering Essay Free Essays

string(51) " SCG by utilizing the trust part method \[ 10 \] \." Traffic monitoring and parametric quantities estimation from urban to battlefield environment traffic is fast-emerging field based on acoustic signals. This paper considers the job of vehicular traffic denseness appraisal, based on the information nowadays in cumulative acoustic signal acquired from a roadside-installed individual mike. The happening and mixture weightings of traffic noise signals ( Tyre, Engine, Air Turbulence, Exhaust, and Honks etc ) are determined by the prevalent traffic denseness conditions on the route section. We will write a custom essay sample on Acoustic Signal Based Traffic Density Engineering Essay or any similar topic only for you Order Now In this work, we extract the short-run spectral envelope characteristics of the cumulative acoustic signals utilizing MFCC ( Mel-Frequency Cepstral Coefficients ) . The ( Scaly Conjugate Gradient ) SCG algorithm, which is a supervised acquisition algorithm for network-based methods, is used to calculate the second-order information from the two first-order gradients of the parametric quantities by utilizing all the preparation datasets. Adaptive Neuro-Fuzzy classifier is used to pattern the traffic denseness province as Low ( 40 Km/h and supra ) , Medium ( 20-40 Km/h ) , and Heavy ( 0-20 Km/h ) . For the development geographicss where the traffic is non-lane driven and helter-skelter, other techniques ( magnetic cringle sensors ) are unsuitable. Adaptive Neuro-Fuzzy classifier is used to sort the acoustic signal sections crossing continuance of 20-40 s, which consequences in a categorization truth of?95 % for 13-D MFCC coefficients, ~95 % for first order derived functions and ~95 % for 2nd order derived functions of cepstral coefficients. Keywords: Acoustic signal, Noise, Traffic, Density, Neuro-Fuzzy. Introduction As the figure of vehicle in urban countries is of all time increasing, it has been a major concern of metropolis governments to ease effectual control of traffic flows in urban countries [ 1 ] . Particularly in first-come-first-serve hours, even a hapless control at traffic signals may ensue in a long clip traffic jam doing a concatenation of holds in traffic flows and besides CO2 emanation [ 2 ] . Density of traffic on roads and main roads has been increasing invariably in recent old ages due to motorisation, urbanisation, and population growing. Intelligent traffic direction systems are needed to avoid traffic congestions or accidents and to guarantee safety of route users. Traffic in developed states is characterized by lane driven. Use of magnetic cringle sensors, picture cameras, and velocity guns proved to be efficient attack for traffic monitoring and parameter extraction but the installing, operational and care cost of these detectors significantly adds to the high operational disbursal of these devices during their life rhythms. Therefore research workers have been developing several Numberss of detectors, which have a figure of important advantages and disadvantages relative to each other. Nonintrusive traffic-monitoring engineerings based on ultrasound, radio detection and ranging ( Radio, Laser, and Photo ) , picture and audio signals. All above present different features in footings of hardiness to alterations in environmental conditions ; industry, installing, and fix costs ; safety ordinance conformity, and so forth [ 3 ] . Traffic surveillance systems based on picture cameras cover a wide scope of different undertakings, such as vehicle count, lane tenancy, velocity measurings and categorization, but they besides detect critical events as fire and fume, traffic jams or lost lading. The job of traffic monitoring and parametric quantity appraisal is most normally solved by deploying inductive cringles. These cringles are really intrusive to the route paving and, hence cost associated with these is really high. Most video analytics systems on main roads focus on numeration and categorization [ 4 ] , [ 5 ] , [ 6 ] , [ 7 ] , [ 8 ] . Using general intent surveillance cameras for traffic analysis is demanding occupation. The quality of surveillance informations is by and large hapless, and the scope of operational conditions ( e.g. , dark clip, inclement, and mutable conditions ) requires robust techniques. The usage of route side acoustic signal seems to be good attack for traffic monitoring and parametric q uantity appraisal intent holding really low installing, operation and care cost ; low-power demand ; operate in twenty-four hours and dark status. Conventional pattern categorization involves constellating developing samples and tie ining bunchs to given classs with restrictions of lacking of an effectual manner of specifying the boundaries among bunchs. On the contrary, fuzzed categorization assumes the boundary between two neighbouring categories as a uninterrupted, overlapping country within which an object has partial rank in each category [ 9 ] . In brief, we use fuzzed IF-THEN regulations to depict a classifier. Assume that K forms, p= 1, .. K are given from two categories, where is an n-dimensional chip vector. Typical fuzzed categorization regulations for n = 2 are like If is little and is really big so = ( ) belongs to C1 If is big and is really little so = ( ) belongs to C2 Where are the characteristics of form ( or object ) P, little and really big are lingual footings characterized by appropriate rank maps. The firing strength or the grade of rightness of this regulation with regard to a given object is the grade of belonging of this object to the category C. Most of the categorization jobs consist of medium and large-scale datasets, illustration: familial research, character or face acknowledgment. For this different methods, such as nervous webs ( NNs ) , support vector machines, and Bayes classifier, have been implemented to work out these jobs. The network-based methods can be trained with gradient based methods, and the computations of new points of the web parametric quantities by and large depend on the size of the datasets. One of the network-based classifiers is the Neuro-Fuzzy Classifier ( NFC ) , which combines the powerful description of fuzzed categorization techniques with the larning capablenesss of NNs. The Scaled Conjugate Gradient ( SCG ) algorithm is based on the second-order gradient supervised learning process [ 10 ] . The SCG executes a trust part measure alternatively of the line hunt measure to scale the measure size. The line hunt attack requires more parametric quantities to find the measure size, which consequences in increasing preparation clip for any learning method. In a trust part method, the distance for which the theoretical account map will be trusted is updated at each measure. The trust part methods are more robust than line-search methods. The disadvantage associated with line-search method is eliminated in the SCG by utilizing the trust part method [ 10 ] . You read "Acoustic Signal Based Traffic Density Engineering Essay" in category "Essay examples" We start with a word picture of the route side cumulative acoustic signal which consisting several noise signals ( tyre noise, engine noise, air turbulency noise, and honks ) , the mixture weightings in the cumulative signal varies, depending on the traffic denseness conditions [ 11 ] . For low traffic conditions, vehicles tend to travel with medium to high velocities, and therefore, their cumulative acoustic signal is dominated by tyre noise and air turbulency noise [ 11 ] , [ 12 ] . On the other manus, for a to a great extent congested traffic, the acoustic signal is dominated by engine-idling noise and the honks. Therefore, in this work, we extract the spectral characteristics of the wayside acoustic signal utilizing Mel-Frequency Cepstral Coefficients ( MFCC ) , and so Adaptive Neuro-Fuzzy Classifier is used to find the traffic denseness province ( low, Medium and Heavy ) . This consequences in 95 % truth when 20-30 s of audio signal grounds is presented. We begin with description of the assorted noise signals in the cumulative acoustic signal in Section II. Overview of past work based on acoustic signal for traffic monitoring is provided in Section III, followed by characteristic extraction utilizing Mel-Frequency Cepstral Coefficients in IV. Finally, the experimental apparatus and the categorization consequences by SCG-NFC are provided in Section V, and the decision is summarized in Section VI. VEHICULAR ACOUSTIC SIGNAL A vehicular acoustic signal is mixture of assorted noise signals such as tyre noise, engine tick overing noise, noise due to wash up, engine block noise, noise due to aerodynamic effects, noise due to mechanical effects ( e.g. , axle rotary motion, brake, and suspension ) , air-turbulence noise and the honks. The mixture weighting of spectral constituents at any location is depends upon the traffic denseness status and vehicle velocity. In former instance if we consider traffic denseness as freely fluxing so acoustic signal is chiefly due to tyre noise and air turbulency noise. For medium flow traffic acoustic signal is chiefly due to broad set thrust by noise, some honks. For heavy traffic status the acoustic signal is chiefly due to engine tick overing noise and several honks. A typical vehicle produces assorted noise depends on its speed, burden and mechanical status. In general, estimate can be done as vehicular acoustic signal is categorized as, Tyre noise Tyre noise refers to resound produced by turn overing Sur as an interaction of turn overing Sur with route surface. The tyre noise is besides considered as chief beginning of vehicle ‘s entire noise at a velocity higher than 50 kilometers per hours [ 12 ] , [ 13 ] . Tyre noise has two constituents: air noise and vibrational noise [ 13 ] , [ 14 ] . Air noise dominant in the frequence ranges between 1 KHz to 3 KHz. On the other manus vibrational noise is dominant in the frequence scope 100 Hz to 1000 Hz. Effect is generated by route and Sur, which forms a geometrical construction that amplifies the noise ( elaboration consequences in tyre noise constituent in the frequence scope 600 Hz to 2000 Hz ) , produced due to tyre-road interaction [ 14 ] , [ 15 ] , [ 16 ] . The directionality of horn depends upon tyre geometry, tyre yarn geometry, weight and torsion of Sur. The entire Sur noise power along with horn consequence lies in the frequence scope 700-1300 Hz. Fig. 1. Relationship between the noise of the Sur and the noise of the vehicle harmonizing to its velocity. The Sur noise is caused by three different factors: The Sur hitting the land ( Fig 2 ) The quiver of the air through the tread form ( Fig 3 ) The quivers go throughing through the Sur ( Fig 4 ) ( B ) ( degree Celsius ) Fig. 2. ( a ) Tyre hitting the land, ( B ) Vibration of the air through the pace form, ( degree Celsius ) Vibrations go throughing through the Sur Engine noise Engine noise is produced due to internal burning of engine. Engine noise contains a deterministic harmonic train and stochastic constituent due to aerate intake [ 11 ] . The fuel burning in engine cylinder leads to deterministic harmonic train where lowest harmonic tone refers to cylinder fire rate. On the other manus stochastic constituent is mostly due to the turbulent air flow in the air consumption, the engine chilling systems, and the alternator fans. The engine noise varies with velocity and the acceleration of vehicle [ 11 ] , [ 17 ] . A stationary vehicle produces distinguishable engine tick overing noise whereas traveling vehicle produces different engine noise in correspondence with cylinder fire rate. In the recent old ages, makers designs quieter engine to stamp down the noise degree. So engine noise might be strong on front side of auto compared to other waies. Exhaust noise The exhaust noise is produced due to full fumes system. The system goes from the engine burning compartment through exhaust tubings to the exhaust silencer nowadays at the dorsum of the vehicle bring forthing exhaust noise. The exhaust noise is straight relative to burden of the vehicle [ 18 ] . The exhaust noise is characterised by holding power spectrum around lower frequences. Exhaust noise is affected by turbo coursers and after ice chest [ 18 ] , [ 19 ] . Air Turbulence noise Air turbulency noise is produced due to the air flow generated by the boundary bed of the vehicle. It is outstanding instantly after the vehicle base on ballss by the detector ( e.g. mike ) . It produces typical drive-by-noise or whoosh sound. The Air turbulency noise depends on the aeromechanicss of the vehicle, wind velocity and its orientation [ 20 ] , [ 21 ] . ACOUSTIC SIGNALS FOR TRAFFIC MONITORING Today ‘s urban environment is supported by applications of computing machine vision techniques and pattern acknowledgment techniques including sensing of traffic misdemeanor, vehicular denseness appraisal, vehicular velocity estimate, and the designation of route users. Currently magnetic cringle sensor is most widely used detector for traffic monitoring in developing states [ 22 ] . However traffic monitoring by utilizing these detectors still have really high installing and care cost. This non merely includes the direct cost of labour intensive Earth work but besides, possibly more significantly, the indirect cost associated with the break of traffic flow. Besides these techniques require traffic to be orderly flow, traffic to be lane driven and in most instances it should be homogenous. Mentioning to the developing parts such India and Asia the traffic is non lane driven and extremely helter-skelter. Highly heterogenous traffic is present due to many two Wheelers, three Wheelers, four Wheelers, auto-rickshaws, multi-wheeled coachs and trucks, which does non follow lane. So it is the major concern of metropolis authorization to supervise such helter-skelter traffic. In such environment the cringle sensors and computer-vision-based trailing techniques are uneffective. The usage of route side acoustic signal seems to be good option for traffic monitoring intent holding really low installing, operation and care cost. Vehicular Speed Appraisal Doppler frequence displacement is used to supply a theoretical description of individual vehicle velocity. Premise made that distance to the closest point of attack is known the solution can suit any line of reaching of the vehicle with regard to the mike. [ 23 ] , [ 24 ] . Feeling techniques based on inactive sound sensing are reported in [ 25 ] , [ 26 ] . These techniques utilizes microphone array to observe the sound moving ridges generated by route side vehicles and are capable of capable of supervising traffic conditions on lane-by-lane and vehicle-by-vehicle footing in a multilane carriageway. S. Chen et Al develops multilane traffic feeling construct based inactive sound which is digitized and processed by an on-site computing machine utilizing a correlativity based algorithm. The system holding low cost, safe inactive sensing, unsusceptibility to adverse conditions conditions, and competitory fabrication cost. The system performs good for free flow traffic nevertheless for congested traffic public presentation is hard to accomplish [ 27 ] . Valcarce et Al. work the differential clip holds to gauge the velocity. Pair of omnidirectional mikes was used and technique is based on maximal likeliness rule [ 3 ] . Lo and Ferguson develop a nonlinear least squares method for vehicle velocity appraisal utilizing multiple mikes. Quasi-Newton method for computational efficiency was used. The estimated velocity is obtained utilizing generalized cross correlativity method based on time-delay-of-arrival estimations [ 28 ] . Cevher et Al. uses individual acoustic detector to gauge vehicle ‘s velocity, breadth and length by jointly gauging acoustic moving ridge forms. Wave forms are approximated utilizing three envelop form constituents. Consequences obtained from experimental apparatus shows the vehicle velocities are estimated as ( 18.68, 4.14 ) m/s by the picture camera and ( 18.60, 4.49 ) m/s by the acoustic method [ 29 ] . They besides had estimated a individual vehicle ‘s velocity, engine ‘s unit of ammunitions per minute ( RPM ) , the figure of cylinders, and its length and breadth based on its acoustical moving ridge forms [ 17 ] . Traffic Density Estimation Time appraisal for making from beginning to finish utilizing existent clip traffic denseness information is major concern of metropolis governments. J. Kato proposed method for traffic denseness appraisal based on acknowledgment of temporal fluctuations that appear on the power signals in conformity with vehicle base on ballss through mention point [ 30 ] . HMM is used for observation of local temporal fluctuations over little periods of clip, extracted by ripple transmutation. Experimental consequences show good truth for sensing of transition of vehicles Vehicular Categorization Classification larning strategies normally use one of the undermentioned attacks: Statistical classifiers based on Bayes determination theory, assume an implicit in chance distribution for unknown forms, e.g. maximal likelihood appraisal, maximal posterior chance appraisal, Gaussian mixture theoretical accounts, concealed Markov theoretical accounts or k-nearest neighbour method. Syntactic or structural classifiers based on additive or nonlinear interrelatednesss of characteristics in the characteristic vector lead to linear/non-linear classifier. Acoustic characteristic coevals are chiefly based on three spheres: clip, frequence, and both time-frequency sphere. Time sphere characteristic coevals offers really low computational demand, but characteristics are frequently hampered by environmental noise or air current effects. Frequency sphere characteristic coevals see a stationary spectrum in a given clip frame. As traveling vehicles are non-stationary signals, the influence of Doppler effects and signal energy alterations either have to be neglected or the investigated clip frame must be chosen short plenty to afford quasi stationary signal behaviour. Time-frequency sphere characteristic coevals see the non-stationary signal behaviour of go throughing vehicles and it lead to accurate steps of signal energies in clip and frequence sphere at the same time, these attacks are holding a high computational complexness. TABLE I. Vehicular acoustic characteristic extractors and classifiers Sphere Ref. Feature Extractor Classifier used Accuracy Time [ 31 ] TE, PCA Fuzzy Logic, MLNN 73-79 % 95-97.5 % [ 32 ] Correlation based algorithm Frequency [ 33 ] HLA NN Vehicle: 88 % Cylinder: 95 % [ 34 ] HLA, DWT, STFT, PCA k-NNS, MPP kNN: 85 % MPP: 88 % [ 35 ] AR mod. MLNN up to 84 % Time-Frequency [ 36 ] DWT MPP 98.25 % [ 34 ] HLA, DWT, STFT, PCA k-NNS, MPP kNN: 85 % MPP: 88 % TABLE II. Acronyms from subdivision III and IV TE Time Energy Distribution MLNN Multi Layer Neural Network. PCA Principal Components Analysis NN Artificial Neural Network HLA Harmonic Line Association k-NNS K – Nearest Neighbor Search DWT Discrete Wavelet Transform MPP Maximum Distance Approach STFT Short Time Fourier Analysis AR mod. Autoregressive Mold CWT Continuous Wavelet Transform FEATURE EXTRACTION USING MFCC An omnidirectional mike was placed on the prosaic pavement at approximately 1 to 1.5 m tallness, and it recorded the cumulative signal at 16000 Hz trying frequence. Samples were collected for clip continuances of around 30s for different traffic denseness province conditions ( low, medium and heavy ) . The assorted traffic denseness states induce different cumulative acoustic signals. To turn out the above statement, we have examined the spectrograph of the different traffic province ‘s cumulative acoustic signals. Fig. 3. Spectrogram of the low denseness traffic ( above 40 kilometers per hour ) . Fig. 4. Spectrogram of the Medium denseness traffic ( 20 to 40 kilometers per hour ) . Fig. 5. Spectrogram of the Heavy denseness traffic ( 0 to 20 kilometers per hour ) . For the low denseness traffic status in Fig. 3, we merely see the wideband drive-by noise and the air turbulency noise of the vehicles. No honks or really few honks are observed for low denseness traffic status. For the medium denseness traffic status in Fig. 4, we can see some wideband drive-by noise, some honk signals, and some concentration of the spectral energy in the low-frequency ranges ( 0, 0.1 ) of the normalized frequence or equivalently ( 0, 800 ) Hz. For the heavy denseness traffic status in Fig. 5, we notice about no wideband drive-by engine noise or air turbulency noise and are dominated by several honk signals. We note the several harmonics of the honk signals, and they are runing from ( 2, 6 ) kilohertz. The end of characteristic extraction is to give a good representation of the vocal piece of land from its response features at any peculiar clip. Mel-Frequency cepstral coefficients ( MFCC ) , which are the Discrete Cosine Transform ( DCT ) coefficients of a Mel-filter smoothed logarithmic power spectrum. First 13-20 cepstral coefficients of a signal ‘s short clip spectrum compactly capture the smooth spectral envelope information. We have decided to utilize first 13 cepstral coefficients to stand for acoustic signal for matching traffic denseness province. These coefficients have been really successfully applied as the acoustic characteristics in address acknowledgment, talker acknowledgment, and music acknowledgment and to vast assortment of job spheres. Features extraction utilizing MFCC is as follows, Pre-emphasis Pre-emphasis stage emphasizes higher frequences. The pre-emphasis is a procedure of go throughing the signal through a filter. It is designed to increase, within a set of frequences, the magnitude of some ( normally higher ) frequences with regard to the magnitude of the others ( normally lower ) frequences in order to better the overall SNR. Y [ n ] = x [ n ] -?x [ n-1 ] , ? ˆ ( 0.9, 1 ) ( 1 ) Where ten [ n ] denotes input signal, y [ n ] denotes end product signal and the coefficient ? is in between 0.9 to 1.0, ?= 0.97 normally. The end of pre-emphasis is to counterbalance the high-frequency portion that was suppressed during the sound aggregation. Framing and Windowing Typically, address is a non-stationary signal ; therefore its statistical belongingss are non changeless across clip. The acquired signal is assumed to be stationary within a short clip interval. The input acoustic signal is segmented into frames of 20~40 MS with optional convergence of 1/3~1/2 of the frame size. Typically each frame has to be multiplied with a overacting window in order to maintain the continuity of the first and the last points in the frame. Its equation is as follows, W [ n ] = ( 2 ) Where N is frame size Y [ n ] = X [ n ] * W [ n ] ( 3 ) Where Y [ n ] = Output signal Ten [ n ] = Input signal W [ n ] = Hamming Window Due to the physical restraints, the traffic denseness province could alter from one to another ( low to medium flow to heavy ) over at least 5-30 min continuance. Therefore, we decided to utilize comparatively longer primary analysis Windowss of the typical size 500 MS and displacement size of 100 MSs to obtain the spectral envelope. Fig. 6. Primary Windowss of size=500 MS and shifted by 100 MSs to obtain a sequence of MFCC characteristic vectors. DFT Normally, Fast Fourier Transform ( FFT ) is used to calculate the DFT. It converts each frame of N samples from clip sphere into frequence sphere. The calculation of the FFT-based spectrum as follow, Ten [ k ] = ( 4 ) Where N is the frame size in samples, x [ n ] is the input acoustic signal, and. X [ k ] is the corresponding FFT-based spectrum. Triangular bandpass filtering The frequences range in FFT spectrum is really broad and acoustic signal does non follow the additive graduated table. Each filter ‘s magnitude frequence response is triangular in form and equal to integrity at the Centre frequence and diminish linearly to zero at centre frequence of two next filters. We so multiply the absolute magnitude of the DFT samples by the triangular frequence responses of the 24 Mel-filters that have logarithmically increasing bandwidth and cover a frequence scope of 0-8 kilohertz in our experiments. Each filter end product is the amount of its filtered spectral constituents. Following equation is used to calculate the Mel for given frequence degree Fahrenheit in HZ: F ( Mel ) = 2595 * log 10 [ 1+f/700 ] ( 5 ) The ith Mel-filter bank energy ( is obtained as ( = ( * , thousand ˆ ( 0, N/2 ) ( 6 ) Where ( is the triangular frequence response of the ith Mel-filter. These 24 Mel-filter bank energies are so transformed into 13 MFCC utilizing DCT. DCT This is the procedure to change over the log Mel spectrum into clip sphere utilizing DCT. The consequence of the transition is called Mel Frequency Cepstral Coefficient. The set of coefficient is called acoustic vectors. = cos ( ?j ) , j ˆ ( 0, 12 ) ( 7 ) Data energy and Spectrum The acoustic signal and the frames alterations, such as the incline of a formant at its passages. Therefore, there is demand to add characteristics related to the alteration in cepstral characteristics over clip. 13 characteristic ( 12 cepstral characteristics plus energy ) . Energy=? X2 [ T ] ( 8 ) Where X [ t ] = signal Fig. 7. Input Acoustic signal, matching log filterbank energies and Mel frequence cepstrum for low traffic denseness province Fig. 8. Input Acoustic signal, matching log filterbank energies and Mel frequence cepstrum for Medium traffic denseness province Fig. 9. Input Acoustic signal, matching log filterbank energies and Mel frequence cepstrum for Heavy traffic denseness province ADAPTIVE NEURO FUZZY CLASSIFIER An adaptative web is a multi-layer feed-forward web where each node performs a peculiar map based on incoming signals and a set of parametric quantities refering to node. Fuzzy categorization systems, which are founded on the footing on fuzzy regulations, have been successfully applied to assorted categorization undertakings [ 37 ] . The fuzzed systems can be constituted with nervous webs, and attendant systems are called as Neuro-fuzzy systems [ 37 ] . The Neuro-fuzzy classifiers define the category distributions and demo the input-output dealingss, whereas the fuzzed systems describe the systems utilizing natural linguistic communication. Nervous webs are employed for developing the system parametric quantities in neuro-fuzzy applications. An ANFC consist of input, rank map, fuzzification, defuzzification, standardization and end product beds [ 37, 38, 39 ] . Fig. 10. An Adaptive Neuro-Fuzzy Classifier Figure 10 demonstrates generalized classifier architecture with two input variables x1and x2. The preparation informations are categorized by three categories C1 and C2. Each input is represented by two lingual footings, therefore we have four regulations. Membership bed: The end product of the node is the grade to which the given input satisfies the lingual label associated to this node. Normally, bell-shaped rank maps are chosen to stand for the lingual footings. ( U ) = exp [ – ( ) 2 ] ( 9 ) Where [ ai1, ai2, bi1, bi2 ] is the parametric quantity set. The bell-shaped maps vary harmonizing to alterations in the values of these parametric quantities, therefore exhibiting assorted signifiers of rank maps on lingual labels Ai and Bi. In fact, any uninterrupted, such as trapezoidal and triangular-shaped rank maps are besides campaigners for node maps in this bed. The initial values of the parametric quantities are set in such a manner that the rank maps along each axis satisfy ˆ-completeness, normalcy and convexness. The parametric quantities are so tuned or trained with a descent-type method. Fuzzification bed: Each node generates a signal corresponding to the conjunctive combination of single grades of lucifer. All nodes in this bed are labelled by T, because we can take any t-norm for patterning the logical and operator. The nodes of this bed are called regulation nodes. In order to cipher the grade of belongingness to certain category label the additive combination of the firing strengths of the regulations at Layer 3 and use a sigmoid map at Layer 4. If we are given the preparation set { ( ) , k = 1, .. .. , K } where refers to the k-th input form and = Experimental Consequences We have collected the route side cumulative acoustic signal samples from chhatrapati square to T-point of Nagpur metropolis. Datas were collected with 16 KHz trying frequence. These informations covered three wide traffic denseness categories ( low, medium and heavy ) . Feature extraction is done utilizing MFCC where primary window size is 500 MS and displacement size is of 100 MS. Case 1: First 13 cepstral coefficients were considered. TABLE III. Classification truths of assorted traffic denseness categories based on individual frame. Traffic Density Class Accuracy ( % ) Low 74 Medium 64 Heavy 72 Case 2: The full characteristic vectors consisted of the first 13 MFCC coefficients and their first and 2nd order clip derived functions computed. This led to a 39-D characteristic vector per frame. TABLE IV. Classification truths of assorted traffic denseness categories based on first and 2nd order derived functions of first frame. Traffic Density Class First order derived function Second order derived function Low 75 74 Medium 66 64 Heavy 78 72 Case 3: MFCC coefficients correspond to full frames are considered ( i.e. T= sample signal length in clip, ex. T=30s ) . Decision This paper describes a simple technique which uses MFCC characteristics of route side cumulative acoustic signal to sort traffic denseness province as Low, Medium and Heavy utilizing Adaptive Neuro-Fuzzy Classifier. As this technique uses simple mike ( cost: 500 Rs ) so its installing, operational and care cost is really low. This technique work good under non lane driven and helter-skelter traffic status, and is independent of illuming status. Classification truth achieved utilizing Adaptive Neuro-Fuzzy classifier is of ~95 % for 13-D MFCC coefficients, ~95 % for first order derived functions and ~95 % for 2nd order derived functions of cepstral coefficients. The research on vehicular acoustic signal which is mixture of engine noise, tyre noise, noise due to mechanical effects etc. expands from vehicular velocity appraisal to denseness appraisal. The usage of route side acoustic signal seems to be an alternate, research shows acceptable truth for acoustic signal. Vehicular categorization with Acoustic signals proved to be first-class attack peculiarly for battleground vehicles, and besides for metropolis vehicles. Clearer definitions of scenarios and applications are required to bring forth a more consistent organic structure of work. New application countries are likely to emerge for traffic signal timings optimisation utilizing cumulative acoustic signals and besides categorization of bikes proved to be emerging country for research. Finally the categorization systems can be extended in a manner that extracted characteristics are utilised as characteristic fingerprints, which affords trailing of vehicles over multiple detector nodes. How to cite Acoustic Signal Based Traffic Density Engineering Essay, Essay examples

Rousseau On Civil Religion Essay Example For Students

Rousseau On Civil Religion Essay Religion is a component of almost every society. Knowing this, one might look atthe function it serves. For Jean-Jacques Rousseau, religion, specifically acivil religion established by the Sovereign, is an instrument of politics thatserves a motivating function. In a new society people are unable to understandthe purpose of the law. Therefore, civil religion motivates people to obey thelaw because they fear some divine being. For a developed society, civil religionmotivates people to maintain the habit of obedience because they grow tounderstand and love the law. First of all, it is necessary to clarifyRousseaus ideas on religion. In Chapter Eight of On the Social Contract,Rousseau distinguishes four types of religion. The first of these is thereligion of man. According to Rousseau, this type of religion iswithout temples, alters or rites. It is limited to the purely internalcult of the supreme God and to the eternal duties of moralityis the pure andsimple religion of the Gospel, the true theism, and what can be called naturaldivine law (SC, Bk IV, Ch. 8) In addition, he describes the religion ofman as Christianity. However, it is different than the Christianity of todayin that it is focused on the Gospels and through this holy, sublime, truereligion, men, in being the children of the same God, all acknowledge oneanother as brothers, and the society that united them is not dissolved even indeath (SC, Bk IV, Ch. 8). Rousseau finds fault in this type of religion. TrueChristianity of this sort would require every citizen to be an equally goodChristian for peace and harmony to be maintained. In addition, Rousseau arguesthat it would be unlikely for every man to be concerned only with heavenlythings. He anticipated that a single ambitious man, a single hypocrite, aCataline, for example, or a Cromwell, he would quite undoubtedly gain an upperhand on his pious compatriots (SC, Bk IV. Ch. 8). Rousseau defines the secondtype of religion as the religion of the citizen. H e states, The other,inscribed in a single country, gives it its gods, its own titulary patrons. Ithas its dogmas, its rites its exterior cult prescribed by its laws. Outside thenation that practices it, everything is infidel, alien and barbarous to it. Itextends the duties and rights of man only as far as its alters(SC, Bk IV, Ch 8). Rousseau believes this type of religion is good because it unites the divinecult with love of the laws. On the other hand, this type of religion has thepotential to make men superstitious and intolerant. When the boundary betweenChurch and state is clouded, men may begin to believe they are performing abold action in killing anyone who does not accept its gods (SC, Bk IV, Ch 8). Rousseau points out a third type of religion which in his own words is morebizarre. He calls this religion of the priest and states in givingmen two sets of legislation, two leaders, and two homelands, it subjects them tocontradictory duties and prevents them from being simultaneously devout men andcitizens. An example of this type of religion is Roman Catholicism. RomanCatholics are subject to the law of the Church as well as the law of the state. They are subject to the authority of the pope as well as the authority of theleader of the state. Also, they are commanded subject to the rule of the Vaticanas well as the rule of their homeland. For Rousseau, religion of thepriest is so bad that it is a waste of time to amuse oneself by provingit. Whatever breaks up social unity is worthless. All institutions that placeman in contradiction to himself are of no value (SC, Bk IV, Ch 8). BecauseRousseau finds serious faults with the first three types, he calls for people toadhere to a fourth kind of religion. He defines this as civil religion. Heasserts that it is the Sovereigns duty to require a purely civilprofession of faith and to establish the dogmas of a civil religion. Rousseauelaborates on this by stating, The dogmas of the civil religion ought to besimple, few in number, precisely worded, without explanations or commentaries. .u4dc9689304c2feafcfc141702851af4a , .u4dc9689304c2feafcfc141702851af4a .postImageUrl , .u4dc9689304c2feafcfc141702851af4a .centered-text-area { min-height: 80px; position: relative; } .u4dc9689304c2feafcfc141702851af4a , .u4dc9689304c2feafcfc141702851af4a:hover , .u4dc9689304c2feafcfc141702851af4a:visited , .u4dc9689304c2feafcfc141702851af4a:active { border:0!important; } .u4dc9689304c2feafcfc141702851af4a .clearfix:after { content: ""; display: table; clear: both; } .u4dc9689304c2feafcfc141702851af4a { display: block; transition: background-color 250ms; webkit-transition: background-color 250ms; width: 100%; opacity: 1; transition: opacity 250ms; webkit-transition: opacity 250ms; background-color: #95A5A6; } .u4dc9689304c2feafcfc141702851af4a:active , .u4dc9689304c2feafcfc141702851af4a:hover { opacity: 1; transition: opacity 250ms; webkit-transition: opacity 250ms; background-color: #2C3E50; } .u4dc9689304c2feafcfc141702851af4a .centered-text-area { width: 100%; position: relative ; } .u4dc9689304c2feafcfc141702851af4a .ctaText { border-bottom: 0 solid #fff; color: #2980B9; font-size: 16px; font-weight: bold; margin: 0; padding: 0; text-decoration: underline; } .u4dc9689304c2feafcfc141702851af4a .postTitle { color: #FFFFFF; font-size: 16px; font-weight: 600; margin: 0; padding: 0; width: 100%; } .u4dc9689304c2feafcfc141702851af4a .ctaButton { background-color: #7F8C8D!important; color: #2980B9; border: none; border-radius: 3px; box-shadow: none; font-size: 14px; font-weight: bold; line-height: 26px; moz-border-radius: 3px; text-align: center; text-decoration: none; text-shadow: none; width: 80px; min-height: 80px; background: url(https://artscolumbia.org/wp-content/plugins/intelly-related-posts/assets/images/simple-arrow.png)no-repeat; position: absolute; right: 0; top: 0; } .u4dc9689304c2feafcfc141702851af4a:hover .ctaButton { background-color: #34495E!important; } .u4dc9689304c2feafcfc141702851af4a .centered-text { display: table; height: 80px; padding-left : 18px; top: 0; } .u4dc9689304c2feafcfc141702851af4a .u4dc9689304c2feafcfc141702851af4a-content { display: table-cell; margin: 0; padding: 0; padding-right: 108px; position: relative; vertical-align: middle; width: 100%; } .u4dc9689304c2feafcfc141702851af4a:after { content: ""; display: block; clear: both; } READ: International Business - Coca EssayThe existence of a powerful, intelligent, beneficent divinity that foresees andprovides; the life to come; the happiness of the just; the punishment of thewicked; the sanctity of the social contract and of the laws. These are thepositive dogmas. As for the negative dogmas, I am limiting them to just one,namely intolerance (SC, Bk IV, Ch 8). Furthermore, the Sovereign can banish anyman who does not believe these tenets. However, one is not banished for beingimpious, but rather, for being unsociable. Keeping this in mind, one can addressthe reasons why Rousseau feels a civil religion is necessary. For Rousseau, thistype of religion motivate s people in two distinct ways. First of all, for peoplein emerging societies, it creates fear and awe of a power larger than the state(Dent, 1988). Rousseau characterizes people in these new societies as incapableof understanding the real purpose and principles of law (SC, Bk II, Ch 6). Inturn, he fears that the ignorance of the masses will interfere with theirobedience of civil law. Recognizing the dilemmas associated with instituting asystem of laws in a new society, Rousseau places most of the burden on theLegislator (Trachtenberg, 1993). It becomes the Legislators duty to guide thepeople towards the common good. However, pointing the people in the direction ofthe common good will not just come as a result of the the Legislators highintellect nor his sound reasoning ability. Instead, the Legislator will have toappeal to a higher force, that the people are more comfortable with and trustingof (Rosenblatt, 1997). Rousseau states, Since, therefore, the legislator isincapable of usin g either force or reasoning, he must of necessity have recourseto an authority of a different order, which can compel without violence andpersuade without convincing (SC, Bk II, Ch 7). In this passage Rousseau isreferring in to the use of religion as an instrument of politics. Religionbecomes a means of motivating people to subject themselves willingly to the law(Trachtenberg, 1993). It appeals to the mans primitive instinct of survival. Motivation arises out of the fear and awe people have of divine power over them(Trachtenberg, 1993). They not only see the potential of civil sanctions, butthey also the fear heavenly retribution. Likewise, they see compliance with thelaw as a means of receiving the favor and blessing of God (Dent, 1988). According to one author, religion remedies the effect of the cognitivedeficit the Legislator encounters with a new people (Trachtenberg, 1993). However, the function of civil religion evolves simultaneously with thedevelopment of society. As a society changes and becomes more aware of thedirection of the common good, the purpose of civil religion shifts. Once thelaws have been implemented, citizens begin to learn through experience that itis to their advantage to live under the law (Trachtenberg, 1993). They no longerneed to be manipulated into obedience. This is not to say that civil religionloses its value and falls by the way side. Instead, it becomes a different kindof motivator. It is not used as a mechanism to impose obedience of the law, butrather, a means to maintain obedience to the law (Dent, 1988). Rousseau writes,For it is of great importance to the state that each citizen have a religionthat causes him to love his duties. But the dogmas of that religion are of nointerest either to the state or its members, except to the extent that thesedogmas relate to morality and to the duties which the one who professes them isbound to fulfill toward others (SC, Bk IV, Ch 8). This passage describes whatRousseau envisions society to be like. He suggests that civil religion willcreate an invariable bond between people and the law (Lemos, 1977). According toRousseau, the law, by its very nature has force, however when linked to religionthis force is increased (Trachtenberg, 1993). It is evident that one will haveduties in society regardless of the presence of religion (Dent, 1988). Simplyput, they are a requirements of civil association. However, it is not requiredthat citizens love these duties. This is where civil religion fits in. It is ameans of creating the love people have for their duties and moralresponsibilities. This love of the law is unlike that created by the religionof the citizen (Dent, 1988). While both provide a strong link between theindividual and the law, a civil religion does not turn the state into the objectof adoration. Nor does a civil religion emphasize intolerance. In fact itemp hasizes just the opposite point of view. Rousseau states, tolerance shouldbe shown to all those that tolerate others, so long as their dogmas containnothing contrary to the duties of a citizen (SC, Bk IV, Ch 8) In turn, theSovereign is not concerned with whether or not the dogmas of the civil religionare right or wrong but instead with the moral, social, and politicalconsequences it brings forth (Trachtenberg, 1993). Clearly, one can see thatRousseau takes seriously the function of religion in society. He outlines fourvery different types of religions in his texts but calls for adherence to onlyone, civil religion. He sees this type of religion as a serving a motivatingfunction. For people in emerging societies who are unable to understand thepurpose of law, civil religion motivates them to obey out of fear. For those indeveloped societies, the motivation to obey the laws comes from a love anddevotion to the law.