...thin. So-called “plus-size” models are a growing presence on magazine covers, television and lingerie catalogues but at the Fashion Weeks of New York and London they are still the exception. In a reflection of the expanding market for women who defy the super-slender ideals of the catwalk, leading fashion magazine Elle offered its readers a special issue in March featuring larger than normal models and sales jumped. British designer Mark Fast introduced shows last year in which the models were all above a British size twelve, and American size eight, following criticism that his dresses were too skinny. Despite their trailblazing status in the fashion world, when it comes to bigger models New York and London are slightly out of step. The move towards more generously sized models has accelerated since the death from anorexia in 2006 of Brazilian model Ana Carolina Reston, which shocked the fashion world. Spain and Italy banned models below a certain body mass index after her death, while Britain stopped short; banning only those aged under sixteen from the catwalk. “Sixteen corresponds to a level of maturity,” said Caroline Ruth of the British Fashion Council. When Frederique van der Wal, a former Victoria’s Secret model, attended designers’ shows during New York’s Fashion Week this month, she was “shocked” by the waiflike models who paraded down the catwalk. They seemed even skinnier than in previous years. “We know seeing super-thin models can play a role in causing...
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...A Weighted Tag Similarity Measure Based on a Collaborative Weight Model G.R.J.Srinivas Search and Information Extraction Lab, IIIT Hyderabad, ∗ Niket Tandon † Vasudeva Varma Search and Information Extraction Lab, IIIT Hyderabad, India Max Planck Institute, Germany ntandon@mpi-inf.mpg.de srinivasg@research.iiit.ac.in India vv@iiit.ac.in ABSTRACT The problem of measuring semantic relatedness between social tags remains largely open. Given the structure of social bookmarking systems, similarity measures need to be addressed from a social bookmarking systems perspective. We address the fundamental problem of weight model for tags over which every similarity measure is based. We propose a weight model for tagging systems that considers the user dimension unlike existing measures based on tag frequency. Visual analysis of tag clouds depicts that the proposed model provides intuitively better scores for weights than tag frequency. We also propose weighted similarity model that is conceptually different from the contemporary frequency based similarity measures. Based on the weighted similarity model, we present weighted variations of several existing measures like Dice and Cosine similarity measures. We evaluate the proposed similarity model using Spearman’s correlation coefficient, with WordNet as the gold standard. Our method achieves 20% improvement over the traditional similarity measures like dice and cosine similarity and also over the most recent tag similarity...
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...to rank the cities. In this case, the dimensions are by airfare, hotel room rate, conference costs and survey rank. The next step is to develop a scoring model… Let’s use 3 for Best, 2 Second and 1 for Worst. This could be any set of numbers. Now, using the scoring model, review each of the dimensions and basically use a number for whether or not the ranking is better, second or worst. In this case, if you have two that are the same, that doesn’t matter, as both will receive the same score. For example, conference costs are $25,000, $20,000 and $15,000 for Chicago, New York and Las Vegas. Using three as the best and 1 as the worst, you would rank Chicago 3, New York 2, and Las Vegas as 1. Now do this for each of the dimensions based on whether or not the metric is good, second or worst. You should get a table that looks like this: Scoring Model (3 = Best, 2 = Second Best, 1 = Worst) | Chicago | New York | Las Vegas | Airfare | 3 | 1 | 3 | Hotel Room Rate | 3 | 1 | 2 | Conference Costs | 1 | 2 | 3 | Survey Rank | 3 | 2 | 1 | SCORE | 10 | 6 | 9 | Last, let’s now weight the scoring model. To do this please review the tutorial for the details – it is a really good description. With that being said, you should get a table that looks something like this: FIRST, access the Weighted Scoring Model area of the assignment. As you read through the Case Analysis, you will find that Conference costs are twice as...
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...create the IFE matrix? The IFE matrix can be created using the following five steps: Key internal factors... Conduct internal audit and identify both strengths and weaknesses in all your business areas. It is suggested you identify 10 to 20 internal factors, but the more you can provide for the IFE matrix, the better. The number of factors has no effect on the range of total weighted scores (discussed below) because the weights always sum to 1.0, but it helps to diminish estimate errors resulting from subjective ratings. First, list strengths and then weaknesses. It is wise to be as specific and objective as possible. You can for example use percentages, ratios, and comparative numbers. Weights... Having identified strengths and weaknesses, the core of the IFE matrix, assign a weight that ranges from 0.00 to 1.00 to each factor. The weight assigned to a given factor indicates the relative importance of the factor. Zero means not important. One indicates very important. If you work with more than 10 factors in your IFE matrix, it can be easier to assign weights using the 0 to 100 scale instead of 0.00 to 1.00. Regardless of...
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...ranked using the User Requirement Specification, as shown below: User requirement Specification | Weighting | 1. Survive drop of 1m. Not become disconnected from any pieces. | 5 | 2. Reach a speed along flat terrain of 1ms-1. | 2 | 3. Use minimum number of parts, thereby keeping costs at a minimum. | 4 | 4. Design which is light as possible, reduce risk of becoming stuck. | 1 | 5. Achieve an aesthetically pleasing design. | 3 | The URS can be used to rank each concept, with each requirement having a score of a certain weighting. This will allow for a clear analysis of each model, and will aid in choosing which parts of each design should be taken forward and developed. It was decided to build 3 models: * Durable/Tough - Survive drop from 1m intact * Light weight – Use as few parts as possible * Aesthetically pleasing design By building these models, we can observe which aspects are most important in...
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...business is facing. The EFE matrix is very similar to the IFE matrix. The major difference between the EFE matrix and the IFE matrix is the type of factors that are included in the model. While the IFE matrix deals with internal factors, the EFE matrix is concerned solely with external factors. External factors assessed in the EFE matrix are the ones that are subjected to the will of social, economic, political, legal, and other external forces. EFE MATRIX: List factors: The first step is to gather a list of external factors. Divide factors into two groups: opportunities and threats. Assign weights: Assign a weight to each factor. The value of each weight should be between 0 and 1 (or alternatively between 10 and 100 if you use the 10 to 100 scale). Zero means the factor is not important. One or hundred means that the factor is the most influential and critical one. The total value of all weights together should equal 1 or 100. Rate factors: Assign a rating to each factor. Rating should be between 1 and 4. Rating indicates how effective the firm’s current strategies respond to the factor. 1 = the response is poor. 2 = the response is below average. 3 = above average. 4 = superior. Weights are industry-specific. Ratings are company-specific. Multiply weights by ratings: Multiply each factor weight with its rating. This will calculate the weighted scorefor each factor. Total all weighted scores: Add all weighted scores for each factor. This will calculate the total weighted...
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...Tradeoff Weights Tradeoff weights refer weights of various trade attributes that are developed by using different methods or techniques such as direct method, swing weight method, equivalence lottery method, and hierarchical weight method. Advantages and Disadvantages of Methods There are various advantages and disadvantages of using various methods like indifference trade-off method, swing weight method, direct weight method etc. for developing or calculating tradeoff weights. In the context of benefits, swing weight method is quick and easy to operate that can help the decision maker to make appropriate decision by developing effective tradeoff weights (Bekiaris & Nakanishi, 2004). In addition, all these methods are useful in a project for a decision maker in spatial decision problems. The main advantage of tradeoff analysis methods is the ability to provide different relative weights to each of the alternative or attributes. By using these methods, it is possible to derive weights from a ranking of limited alternatives and easy to achieve an agreement between decision makers. On the other hand, historical weights are still valid in decision and risk analysis that can be helpful to effectively develop tradeoff weights (Guinto, 2008). At the same time, there are some disadvantages of using these methods for developing tradeoff weights. Some of them are as follow: There is no assurance that swing weight method provides accurate eliciting weights. Some of these...
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...Processing Type: Raw ARTICLE 3. QUANTITY 100 000 MT more or less 5% at Seller's option ARTICLE 4: PRICE 4.1 Unit Price 4.2 Total price: 4.3 Invoicing: based on actual net weight of the shipment upon the inspection at loading port ARTICLE 1: COMMODITY TOYOTA LAND CRUISER DIESEL ARTICLE 2. QUALITY AND SPECIFICATION Condition: New Type: SUV Fuel: Diesel Gear Box: Automatic Made In: Japan Steering: Left Drive: AWD Brand Name: TOYOTA Place of Origin: Japan Model: LANDCRUISER 200 Year: 2014 EXTERIOR COLORS: WHITE PEARL, BLACK, DARK GREY, SILVER METALLIC, BEIGE INTERIOR COLORS: SHELL / GREY ARTICLE 3. QUANTITY ARTICLE 4: PRICE 4.1 Unit Price 4.2 Total price: 4.3 Invoicing: based on actual net weight of the shipment upon the inspection at loading port Packaging Detail: 02 UNITS IN 40" THRU SEA FREIGHT ARTICLE 1: COMMODITY toshiba wall mounted split air conditioner ARTICLE 2. QUALITY AND SPECIFICATION Condition: New Brand Name: BAOHUA Place of Origin: Guangdong China (Mainland) Use: Room Power Source: Electrical Power Type: AC Type: Split Wall Mounted Air Conditioners Cooling/Heating: Cooling/Heating Certification: CB,CE,EMC,EMF,RoHS Capacity (btu): 30000 COP: 2.9 EER: 2.8 Power (W): 2950 Voltage (V): 220 Model Number: KFR-30 name: toshiba wall mounted split air conditioner color: white brand: BAOHUA OR OEM voltage: 220V/110V compressor: hitachi, toshiba, mitsubishi, sanyo...
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...Q.1How did the concept of LCC emerge in India? Which factors encouraged the growth of LCCs? Aviation industry in India was born in the year 1930.Tata group one of the prominent industry in India launched Tata airlines (India’s first airline services) After the emergence of the airline industry in India, after two decades more eight private players started their business but their operations were quite restricted. These airlines proved to be a failure despite constant support from the government. As a result Air traffic enquiry committee was formed constituted by government of India recommended the nationalization of airlines. The air corporations Act 1953 was formulated and the two entities were nationalized namely Indian airlines corporation (IA) and Air India International (AI). The act restricted private players until 1986. In 1990’s private sector was allowed to reenter the market with the wave of the economic liberalization. This was the time when LCC concept in India was brought into picture in the Indian market. By March 1994 the government had approved six private carriers to commence the domestic services. But despite two carriers all others closed and filed insolvency. This duopoly continued till 2003, this duopoly was challenged by air Deccan in 2003 with its concept of LCC which made this industry emerge in India which proved to be a turning point in this industry. Air Deccan with its entry brought into picture special discounts, promotional fares, check...
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...should spend some money on advertising. We own about 6% of the market share that is forecasted to make $40 billion next year. I believe that if we spend some money on advertising I believe that in the long run this will pay off. I have come up with a formula and, I believe that we should spend at least $153 million in advertising, After this I wanted to come up with some type of sales forecast for the next year. In order to do this I have chosen to use a weighted moving average model. This helps us to come up with an accurate forecast. The weighted moving average model works by having unequal weights using a 2-period moving model with a weight of 0.9 I was able to come up with the fact that if we at produce 777 million pairs of jeans, with our market share of 6% this means that we will roughly make about 47 million dollars. With our company forecasted to receive 7% next year this can rise our profits to 48 million. I have come up with the quarterly forecast that you wanted. I used the center moving model and selected a data range of six years. This shows that in order to fix our production we need to produce 11-12 million thee first quarter, 12-14milllion the next quarter, 11-12 million third quarter and 19-20 million the fourth quarter in order to have the 10 million in stock as emergency. I believe if Blues, Inc. keeps up with my plan that we can make an enormous profit in years to come. Cordially, Gerardo...
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...IND131 IND131xx IND331 IND331xx Terminals User’s Guide www.mt.com 64067481 (11/2012).06 © METTLER TOLEDO 2012 No part of this manual may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopying and recording, for any purpose without the express written permission of METTLER TOLEDO. U.S. Government Restricted Rights: This documentation is furnished with Restricted Rights. Copyright 2012 METTLER TOLEDO. This documentation contains proprietary information of METTLER TOLEDO. It may not be copied in whole or in part without the express written consent of METTLER TOLEDO. METTLER TOLEDO reserves the right to make refinements or changes to the product or manual without notice. COPYRIGHT METTLER TOLEDO® is a registered trademark of Mettler-Toledo, LLC. All other brand or product names are trademarks or registered trademarks of their respective companies. METTLER TOLEDO RESERVES THE RIGHT TO MAKE REFINEMENTS OR CHANGES WITHOUT NOTICE. FCC Notice This device complies with Part 15 of the FCC Rules and the Radio Interference Requirements of the Canadian Department of Communications. Operation is subject to the following conditions: (1) this device may not cause harmful interference, and (2) this device must accept any interference received, including interference that may cause undesired operation. This equipment has been tested and found to comply with the limits for a Class A digital device, pursuant...
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...LOGISTICS PROCESS DECATHLON SPECIFICATIONS Title: Updated General Terms of Delivery for bikes : 25/04/2016 Update No. :5 Number of pages Date : 08 September 2004 By : 18 : Estelle DELMAS Written Main changes in this update: 7.2. Loading plan (pages 11 and 12) CONTENTS 1 - OBJECT 2 - OBJECTIVES 3 - PRE-REQUISITES 4 - DEFINITIONS 5 - BIKE PACKAGING 6 – PALETTISATION 7- LOADING 8- DELIVERY These Specifications define the respective commitments of : DECATHLON 4 Bld de Mons BP 299 F-596650 Villeneuve d’ASCQ cedex and of its bike suppliers regarding the Decathlon General Terms of Delivery. In case of no respect of that specifications, the deliveries may be refused or brought up to DECATHLON standards at sender cost General Terms of Delivery - Bikes Logistics Process DECATHLON Page 1/18 Update No.4, 28/04/2009 1. OBJECT The purpose of these specifications is to describe the fundamentals that must be observed by DECATHLON suppliers during the delivery of bikes to the warehouse. 2. OBJECTIVES By observing these specifications, we will speed up and facilitate, together: stocking of your goods in our network availability of your products processing of invoices. Our aim is also to ensure the quality of bikes throughout the supply chain : from supplier to store. 3. PRE-REQUISITES Before any delivery, you must ensure that your deliveries conform to the initial order : - Respect of technical specifications...
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...Lapodium Logistics Int’l Inc. Room 601, Roman Santos Bldg., Plaza Lacson, Sta. Cruz, Metro Manila1003 Philippines November 26, 2013 ASSAM Corp. Unit 1204, 139 Corporate Center Valero St. Salcedo Village Makati City . Attention: Mr. Jake Tansanco Subject: Standard FCL Quotation (1x20’ or 1x40’) Dear Sir: We would like to inform you the following charges: From Customs to Delivery |Measurement: Gross Weight : | |Duties, Taxes & Other Charges | |As per Computation | |Brokerage Fee with Vat | |As per CAO 1-2001 | |Processing | |1,000.00 | |Documentation | |500.00 | |Releasing | |500.00 | |Handling | |500.00 | ...
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...1 landlords having NRI connections and good education level. | Aspirations for matching the social status at par with NRI relatives. Need Rugged car along with Luxary for rural roads. | 6.25 | Segment 4 | Living in Bombay | Age 25 - 40 year | Successful TV/Movie actors | Having a requirement of stylish expensive car to match the standards of their public image | 4.85 | Assumptions * Car is best in class engineering. * Car has best looks in luxury segment. Selected Segment attractiveness factors 1. Potential segment size 2. growth potential 3. Profit potential 4. Competitive intensity 5. Cyclicality Weighting segment attractiveness factors Segmemt attractiveness factors | Weight | Volume growth potential | 30 | Profit Potential | 25 | Potential segment size | 20 | Competitive intensity | 15 | Cyclicality | 10 | Total | 100 | Parameters and their scores for segment attractiveness factors | Parameters | Parameters | Parameters | Segment Attractiveness factors | High (10-7) | Medium (6-4) | Low (3-0) | Volume growth potential | Industry Avg + 3 % |...
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...limit it to just the total or average Perception score. This is called SERVPERF and is used when Expectations are likely to be all the same (typically high). Weights can be applied here as well. STEPS TO OBTAIN UNWEIGHTED SERVQUAL SCORE Step 1. Select a business the service quality of which you want to assess. Using the SERVQUAL instrument, first obtain the score for each of the 22 expectation questions. Next, obtain a core for each of the perception questions. Calculate the Gap Score each of the statements (Gap Score = Perception – Expectation). Step 2. Obtain an average Gap Score for each dimension by assessing the Gap Scores for each of the statements that constitute the dimension and dividing the sum by the number of statements making up the dimension. Step 3. In TABLE 1 transfer the average dimension SERVQUAL scores (for all five dimensions) from the SERVQUAL instrument. Sum up the scores and divide it by five to obtain the unweighted measure of service quality. STEPS TO OBTAIN THE WEIGHTED SERVQUAL SCORE Step 1. In Table 2 calculate the importance weights for each of the five dimensions constituting the SERVQUAL scale. (The instructions are provided along with the table). Step 2. In Table 3 enter the average SERVQUAL score for each dimension (from Table 1) and the importance weight for each dimension (from Table 2). Then...
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