...Sleight of Hand, Sleight of Mind Orson Welles' F for Fake and the Art of the Cinematic Con Orson Welles' 1974 "film essay" F for Fake opens with a scene of Welles, in the role of a magician, performing a sleight of hand trick with a young child, "transforming" the key the young boy has presented him into a coin and then showing how the young boy had the key all the time in his pocket. The magic was the perfect illustration of Welles' purpose in the film. F for Fake was a film about fraud and deceit, about how the makers of art (and, in particular, film) use "trickery" to fool their intended audience into believing something that is not true. The film focuses on three known "charlatans" (Elmyr de Hory, Clifford Irving, and Welles himself) who used their talents to produce such magnificent forgeries that they were able to fool everyone (even so-called "experts") into believing in the truth of their claims. Despite the status of this film as one of Welles' "minor" films from late in his life (it was one of the last films he completed prior to his death in 1985), it has had a tremendous impact on filmmaking, both in a technical sense (the film's complex editing of various film stocks and styles) and in a textual sense. Welles' identification of the ways in which an audience can be manipulated into believing anything as long as it has the "air" of authenticity has had a tremendous impact on current filmmaking, especially in the realm of horror filmmaking with the current crop...
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...educational process about their work, they become more interested in what they are doing because they understand more about it and can see more potential. If the training is interesting, they may look forward to the time in the classroom. In addition, they may feel more a part of the team by having been included in training and feel more self-worth for being selected for the training. Correlation of HrsEduc and SickDays = 0.773 The regression equation is SickDays = 7.75 0.0795 HrsEduc Predictor Constant HrsEduc s = 2.455 Coef 7.7455 0.07946 Stdev 0.7980 0.01536 t ratio 9.71 5.17 p 0.000 0.000 R sq = 59.8% R sq(adj) = 57.5% Analysis of Variance SOURCE Regression Error Total DF 1 18 19 SS 161.26 108.49 269.75 MS 161.26 6.03 F p 26.75 0.000 The F test for the overall model is significant at .001 as is the t value testing the slope. The r2 of .598 indicates that almost 60% of the variation of the sick days is accounted for by the hours of education. The standard error of the estimate is 2.455 days which is a modest error. The regression equation has an intercept of 7.75 which indicates that the model predicts that a worker will have an average of 7.75 sick days if the worker has participated in no hours of education. Notice the negative slope. As the number of hours of education increase, the regression model deducts days from the intercept resulting...
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...上海大学 20 4 ～ 2015 学年 秋季学期研究生课程考试 课程名称： Econometrics 论文题目（Title）: 研究生姓名(Name): Hoang Thi Lan Huong 学号(ID): 14760006 研究生班级： 留学生班 成 绩: 任课教师: 叶明确 评阅日期: 1. Introduction (Background and Purpose) The data use for this paper was constructed in the following way. The data are drawn from the OPE Campus Safety and Security Statistics website database to which crime statistics (as of the 2010 data collection) are submitted annually, via a web-based data collection, by all postsecondary institutions that receive Title IV funding (i.e., those that participate in federal student aid programs). This data collection is required by the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act and the Higher Education Opportunity Act. The outcome of this process was that the enrolments is not influenced significantly by the price or living conditions of the campus. When reading some articles I was personally very surprised about this since normally the living conditions should be influent more than the other factors in the enrolments. Based on this, I was very interested which other factors influence to students’ decisions. That is why I chose this dataset to analyze for the final term paper in the course of econometrics. 2. Multiple regressions 2.1 Data source The numerous data used in this paper (reference see below), consists of observations on six variables. The variables are: • enroll ...
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...This user manual includes detailed usage instructions for your camera. Please read this manual thoroughly. Click a topic Basic troubleshooting Quick reference Contents Basic functions Extended functions Shooting options Playback/Editing Settings WB100/WB101 -- Appendixes Index Health and safety information Always comply with the following precautions and usage tips to avoid dangerous situations and ensure peak performance of your camera. Warning—situations that could cause injury to yourself or others Do not disassemble or attempt to repair your camera. This may result in electric shock or damage to the camera. Do not use your camera near flammable or explosive gases and liquids. This may cause a fire or explosion. Do not insert flammable materials into the camera or store these materials near the camera. This may cause a fire or electric shock. Do not handle your camera with wet hands. This may result in electric shock. Prevent damage to subjects’ eyesight. Do not use the flash in close proximity (closer than 1 m/3 ft) to people or animals. If you use the flash too close to your subject’s eyes, this can cause temporary or permanent eyesight damage. Keep your camera away from small children and pets. Keep your camera and all accessories out of the reach of small children and animals. Small parts may cause choking or serious injury if swallowed. Moving parts and accessories may present physical dangers as well. Do not expose the camera to direct sunlight or high temperatures...
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...1.) Matrix Plot of GE Closing, S&P 500, PHG, BA, Trend 2.) Regression Analysis: GE Closing versus S&P 500, PHG, BA, Trend Analysis of Variance Source DF Adj SS Adj MS F-Value P-Value Regression 4 3354.01 838.503 250.08 0.000 Error 67 224.65 3.353 Total 71 3578.66 Model Summary S R-sq R-sq(adj) R-sq(pred) 1.83110 93.72% 93.35% 92.32% Coefficients Term Coef SE Coef T-Value P-Value VIF Constant -6.23 2.49 -2.50 0.015 S&P 500 0.04105 0.00435 9.43 0.000 11.42 PHG -0.3004 0.0913 -3.29 0.002 8.22 BA 0.1026 0.0303 3.39 0.001 2.88 Trend -0.1185 0.0148 -7.98 0.000 2.04 Regression Equation GE Closing = -6.23 + 0.04105 S&P 500 - 0.3004 PHG + 0.1026 BA - 0.1185 Trend Fits and Diagnostics for Unusual Observations Obs GE Closing Fit Resid Std Resid 1 38.380 45.234 -6.854 -4.01 R 3 44.710 47.112 -2.402 -1.48 X 8 50.660 46.660 4.000 2.34 R 9 50.070 46.078 3.992 2.28 R 31 28.740 25.191 3.549 2.05 R R Large residual X Unusual X Model Estimate: GE = -6.23 + S&P*0.04105 + PHG*-0.3004 + BA*0.1026 + Trend*-0.1185 + ε H0: β1 + β2 + β3 = 0...
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...camera). Aperture size is usually calibrated in f-numbers or f-stops. i.e. those little numbers engraved on the lens barrel like f22 (f/22),16 (f/16), f/11, f/8.0, f/5.6, f/4.0, f/2.8, f/2.0, f/1.8 etc. Each of this value represents one time the amount of light either more or less in quantity. Meaning to say, f/16 will let in 1X the amount of light than a diaphragm opening of f/22 and so forth; while on the other hand, an aperture of f/4.0 will let in 1X lesser than that of f/2.8 etc. . (i) As controller of light • Also known as the f-nos, changing the size of the aperture the lens opening through which the light enters the camera can change the exposure the amount of light that reaches the film. • Whereas the shutter speeds controls the length of time light strikes the film the f-no controls the brightness of the light. • It works like the pupil of an eye i.e. it can be enlarged or contracted to admit more light or less. • In a camera, this is done with a diaphragm which is a thin overlapping metal leaves located inside the lens. The leaves are movable – meaning they can be swung out of the way so that most of the light reaches the surface of the lens passes through. • They can be closed so that the aperture becomes very small and allows little light to pass. • The aperture size is indicated by f-nos or f-stop. The standardized series of numbers commonly used on the f-stop scale runs as follows:...
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...Light The main factors effecting a photo when using a camera are ISO, the aperture and the shutter speed. ISO is the level of sensitivity to available light. The numbers usually are low if the sensitivity is low compared to available light and high if there is more sensitivity. However the higher the sensitivity, the higher he grain. This can be affective if this is the style you want, however you have to remember the aperture effects the image. Shutter Speed is the length of time a camera shutter is open to expose light into the camera. The measurements usually range from fractions of a seconds to actual seconds. Slow shutter speeds allow more light into the camera and are used for low-light and night photography, while fast shutter speeds help to freeze motion so can be used to create action shots. The aperture is the hole within in the lens hat allows he light to get into the camera. The larger the hole, the more light passes to the camera and vice versa. Aperture also controls the depth of field, which is the section you image that is in focus. If the aperture is very small, the depth of field is large, while if the aperture is large, the depth of field is small. As you take an image and press the shutter button, the subject enters your camera lens in a form of light. If your subject is well-lit, there is plenty of light that travels into the lens, whereas if you are taking a picture in a dim environment, there is not much light that travels into the lens. When...
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...Lexus LFA – Love at first sight. Lexus has long been a luxury car contributor to the motoring world, so when it was announced that they have been working on a 200mph supercar, I was quite skeptical about it. I mean, Lexus? With a supercar? Is it going to be hideous? Is it going to be a total failure? Is it going to tarnish their name altogether? There were the ones who thought it would be a step too high, and then there were the people who were pretty excited as to how this supercar would actually turn out afterall. Either way, in one way or another, everyone wanted to see what this 200mph lexus supercar was going to be all about. Did lexus pull this one off? First came the figures.A naturally aspirated V10 engine, 552 bhp, six-speed automated sequential gearbox, top speed of 203mph, 0-100km/h in 3.7 seconds. Not bad, sounds like a proper supercar to me. Then came the price,a whopping US$375,000. We all know Lexus is technically Toyota and they weren’t the best at making supercars before this. So to command a hefty price tag for something this company has never tried before (a shot at a 200mph supercar that is), I hoped for the best nevertheless. The Lexus LFA was unveiled on the 21st of October 2009 at the 41st biennial Tokyo Motor Show. A white supercar with a carbon fiber roof and a rear spoiler that would automatically be deployed at speeds above 50mph. I fell in love with the car the moment I saw the pictures. Before this, no supercar was my dream car, the Ferraris and...
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...2D1432 Artificial Neural Networks and Other Learning Systems ! Plasticity vs. Stability Dilemma Plasticity: Network needs to learn new patterns Stability: Network needs to memorize old patterns Human brain: face recognition Adaptive Resonance Theory (ART) ! ! ! Plasticity vs. Stability Dilemma Backpropagation ! ART Characteristics Goal: Design a neural network that preserves its previously learned knowledge while continuing to learn new things. Biologically plausible: ART has a selfregulating control structure that allows autonomous recognition and learning no supervisory control or algorithmic implementation. ! ! ! New patterns require retraining of the network No Stabilization Stabilization achieved by decreasing learning rate Decreasing learning rate reduces plasticity ! ! Kohonen maps (SOM) ! ! other Neural Networks ART Online learning Self-organizing (unsupervised) Maintains permanent plasticity Learn in approximate match phase Non-stationary world Other ANN (BP) Offline learning supervised Plasticity regulated externally Learn in mismatch phase (error based) Stationary world ART Terminology STM : Short term memory ! ! Refers to the dynamics of neural units (recognition, matching) Refers to the adaptation of weights (learning) control structure to activate/deactivate search and matching ! LTM : Long term memory ! ! Gain control : ! 1 ART Basic Architecture F2 gain + ! ART Basic Architecture ...
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...My camera is Samsung pl20. Some key features are : * Compact body available in four stylish colors: Black, Sliver, Pink, and Tomato Red * 14-megapixel image sensor * 5x optical zoom lens * DIS system helps reduce blur in photos * Smart Auto 2.0 * Records 720p HD video * Face and Blink detection * Smile Shot and Beauty Shot modes * In-camera Red-eye fix * Built-in Photo Help Guide * Li-ion battery pack Adjusting the exposure manually Depending on the intansity of the ambient light, your photos may be too bright or dark. In these cases, you can adjust the exposure to get a better photo. The color of your photo depends on the type and quality of the light source. If you want the color of your photo to be realistic, select a White Balance setting that is appropriate for the lighting conditions, such as Auto WB, Daylight, Cloudy, or Tungsten. Actually, I love these items and I use it very much because I can set my photo according to air conditions. 1- Auto WB 2- Tungsten 3- Daylight Exposure (Brightness) The amount of light that enters your camera determines the exposure. You can alter the exposure with shutter speed, aperture value, and ISO sensitivity. By altering the exposure, your photos will be darker or lighter. I always use this feature because sometimes because of weather, when I want to...
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...test? When ANOVA F test is significant, and have rejected homogeneity hypothesis, what should happen next is to make inferences regarding hypotheses implied by homogeneity hypothesis make confident inferences for contrasts (and comparisons). The ANOVA F Simultaneous Test Procedure (Scheffé method) An overall test (a test of the homogeneity of population means) can be used as the basis for a simultaneous test procedure (STP), allowing for tests on all hypotheses implied by the homogeneity hypothesis (including contrasts) 1 UNSW PSYC3001 Research Methods 3 ‐ Topic 6 Lecture Slides Dr Melanie Gleitzman The critical value for the F STP is the ANOVA Fc: Fc = F; 1, 2 , where 1 = J – 1, 2 = N – J = J(n – 1) The decision rule for the ANOVA F test can be written as: Reject H0 : 1 2 J if F MSB F ; 1, 2 MSE ie Rearranging we get, ie SSB F ;1 , 2 1 MSE SSB > 1 F; 1, 2 MSE (1) 2 UNSW PSYC3001 Research Methods 3 ‐ Topic 6 Lecture Slides Dr Melanie Gleitzman We can use the RHS of (1) as the basis for a decision rule, allowing for a test of any contrast null hypothesis, H0: = 0 (implied by the homogeneity hypothesis). ˆ We substitute SS ( ) for SSB in (1), giving the decision rule: Reject H0: = 0, if ˆ SS 1 F ;1 , 2 MSE (2) The RHS of (2) is the critical sum of squares (SSc) for tests of all contrast null hypotheses in the analysis, For the ANOVA F STP (Scheffé method) SSc = 1 × F; 1, 2 × MSE ...
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...DH-IPC-HFW1200S 2Megapixel Ful HD Network Small IR-Bullet Camera Features 1/3” 3Megapixel progressive scan CMOS H.264 & MJPEG dual-stream encoding Max 25/30fps@1080P(1920× 1080) DWDR, Day/Night(ICR), AWB, AGC, BLC Multiple network monitoring: Web viewer, CMS(DSS/PSS) & DMSS 3.6mm fixed lens (6mm optional) Max. IR LEDs Length 30m IP66, PoE DH-IPC-HFW1200S Technical Specifications Model DH-IPC-HFW1200S Camera Image Sensor 1/3” 3Megapixel progressive scan CMOS Effective Pixels 2048(H)x1536(V) Scanning System Progressive Electronic Shutter Speed Auto/Manual 1/3(4)~1/10000 Min. Illumination Color: 0. 1Lux/F1.6; S/N Ratio More than 50dB Video Output N/A 0Lux/F1.6 (IR on) Camera Features Max. IR LEDs Length 30m Day/Night Auto(ICR) / Color / B/W Backlight Compensation BLC /HLC /DWDR White Balance Auto/Manual Gain Control Auto/Manual Noise Reduction 2D Privacy Masking Up to 4 areas Lens Focal Length 3.6mm (6mm optional) Max Aperture F1.6(F1.6) Focus Control Manual Angle of View H: 71.9°/45.3° Lens Type Fixed lens Mount Type Board-in Type Video Compression H.264H/H.264B/H.264/ MJPEG Resolution 1080P(1920× 1080)/720P(1280× 720)/D1(704× 576/704× 480) /CIF(352× 288/352× 240) Frame Rate Main Stream 1080P(1 ~ 25/30fps) Sub Stream D1/CIF(1 ~ 25/30fps) Bit Rate H.264H: 16K ~ 8192Kbps Audio ...
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...Unidad 2 Conceptos de Probabilidad Aplicada y Aplicaciones Objetivos Integrar las técnicas cuantitativas para toma de decisiones dentro de la organización y explicar las decisiones basadas en elementos cuantitativos. * Entender los conceptos de probabilidades aplicados a la toma de decisiones incluyendo condiciones de incertidumbre. Temas Principales a Estudiar * Conceptos fundamentales * Tipos de probabilidad * Eventos que son Grupalmente Exhaustivos y Mutuamente Exclusivos * Eventos estadísticamente independientes * Eventos estadísticamente dependientes * La forma general del teorema de Bayes * Variables aleatorias * Distribución de la probabilidad * Distribución Binomial * Distribución Normal * Distribución Exponencial * Distribución de Poisson Resumen Conceptos de Probabilidades y Aplicaciones La vida es incierta y no estamos seguros de lo que el futuro nos traerá. Los riesgos y las probabilidades son parte de nuestra vida diaria. La Probabilidad es una declaración numérica acerca de la posibilidad de que un evento pueda ocurrir. Conceptos Fundamentales Existen dos reglas básicas con respecto a las matemáticas de las probabilidades: 1. La probabilidad, P, de cualquier evento o estado de la naturaleza, pueda ocurrir es mayor o igual a 0 y menor o igual a 1. Esto es: 0 <= P (evento) <= 1 2. La suma de las probabilidades simples de todos los resultados...
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...“Environmental Sci-Math Camp” (February 16, 2013) Theme: “Utilizing our Scientific and Mathematical Competencies for an Environment-Friendly Community” Registration:……………………………………………………………………………… 6:00-7:00 Program:……………………………………………………………………………………. 7:00-8:00 * Prayer Lester Marcaida * National Anthem Remo De3lovino and Jeffrey Lonceras * Exercise (Bear Dance) SAST,YES-O, and Math Club * Yell Campers * Opening Remarks Mr. Casipit and Mrs. Rossel Garcia. Flag, Poster and Slogan Making:………………………………………………….. 8:00-9:00 * 1 participant/group Ice Breaker:………………………………………………………………………………… 9:00-9:30 * Rubber Band/Head Count Scrapped Art and Logo Making:…………………………………………………. 9:30-10:30 * 1 participant/group Word Puzzle, Rubik’s Cube, Sudoku:……………………………………….. 10:30-12:00 * 1 participant/group Tagis Talino:…………………………………………………………………………… 10:30-12:00 * 4 participant/group Lunch (Command Bracelet and Trivia):……………………………………….12:00-1:00 Ice Breaker:………………………………………………………………………………….1:00-1;30 * Ingatan si Mother Egg/Head Count Obstacle Race:………………………………………………………………………………1:30-2:30 Energizer:……………………………………………………………………………………...
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...AT&T Introduction AT&T revenue has large jumps in revenue followed be fairly stagnant numbers afterwards. There is visible cycle, but not really much seasonality to speak of. Problem AT&T has been unable to show any substantial growth except when the company acquisitions another company. While this method has appeased investors up till this point, there is only so many times this can happen until something breaks. Either there will be no options for acquisitions or the government may not allow anymore to happen. Hypothesis For the equation Y = f(X1,X2,X3); Y will represent AT&T's revenue, X1 will represent consumer price index for all items, X2 will represent real disposable income, and X3 will represent public perception. Consumer price index for all items relates to the prices AT&T use. Real disposable income will indicate how much money is out there to possible spend on AT&T services. Public perception is much more important currently than ever before. People prefer to buy products and services from companies that show they care about the world and community. Whether the caring is legitimate or not as long as the public perceives it and supports the causes, they will be more inclined to buy from that company over the competitors thought to be providing the same level of quality and/or service. Alternatives X1 While prices change due to internal and external forces automatically, changed in the value given per dollar can be changed. AT&T...
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