...NutriSystem Communications" Please respond to the following: * From the e-Activity, analyze the role communication plays in marketing programs. Predict the success rate for firms with no method with which to communicate to their target market. Justify the elements of effective marketing communication. It seems to me that NutriSystem is a success not only because their unique product but also because an effective and significant method of marketing. They are strongly aware of the importance of communication with their customer. They are using so many ways to reach out to customer either man or women. They also recognize the unique product is more attracted to women than men, Hence, they increase man effectiveness marketing. To show men how easy it is to diet and looking good. Nowadays, there is no business can deny the crucial of marketing using advantage of Internet and social network. That is the most effective ways to reach out to customer. However, if the business ignore the fact that marketing is necessary for their business, I think the success rate will go below zero. There are many competitions. I use to work at this old restaurant, I never see they use any marketing method such as coupon or advertise. The only thing makes their survive is their regular customers. But they never busy or get new customer. * From the e-Activity, propose at least two approaches NutriSystem could use to make its communications more effective. Support your recommendations...
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...SIAM J. IMAGING SCIENCES Vol. 1, No. 3, pp. 248–272 c 2008 Society for Industrial and Applied Mathematics A New Alternating Minimization Algorithm for Total Variation Image Reconstruction∗ Yilun Wang†, Junfeng Yang‡, Wotao Yin†, and Yin Zhang† Abstract. We propose, analyze, and test an alternating minimization algorithm for recovering images from blurry and noisy observations with total variation (TV) regularization. This algorithm arises from a new half-quadratic model applicable to not only the anisotropic but also the isotropic forms of TV discretizations. The per-iteration computational complexity of the algorithm is three fast Fourier transforms. We establish strong convergence properties for the algorithm including finite convergence for some variables and relatively fast exponential (or q-linear in optimization terminology) convergence for the others. Furthermore, we propose a continuation scheme to accelerate the practical convergence of the algorithm. Extensive numerical results show that our algorithm performs favorably in comparison to several state-of-the-art algorithms. In particular, it runs orders of magnitude faster than the lagged diffusivity algorithm for TV-based deblurring. Some extensions of our algorithm are also discussed. Key words. half-quadratic, image deblurring, isotropic total variation, fast Fourier transform AMS subject classifications. 68U10, 65J22, 65K10, 65T50, 90C25 DOI. 10.1137/080724265 1. Introduction. In this paper, we propose a fast...
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...C, & account for 5% of ttl sales. T/O A=10:1, B= 4:1, C = 2:1. Category # items % ttl sales T/O A 50 3/4= 75% 10:1 B 150 20% 4:1 C 300 5% 2:1 WH 450 25% How many C items? B+C = 500-50 = 450 -> 2/3*450 = 300 C items Avg Val Inv for B? Annual Sales = 100%-75%(A) – 5% (C) = 20 % (B) 20%*10M = 2M/4 =500,000 Avg Val of Inv in WH? (B= 500K) + (C=.05*10M/2=250K) = 750K Calculate TTL cost for Shipments: Engine = 1000 lbs = 10 CWT TTL demand CA plants 10 engine/week, 1 shpmnt per week, Trans cost= 18 $/cwt + 100 fixed per shpmnt TTL annual cost of current plan? 10 eng/week * 10 cwt/engine * 18 $/cwt + 100 $/wk (10*10*18 + 100) * 52 = 98,800 $/ year New Lrg shipment + reg Shipment? 95,160 $/yr Lrg: 12 $/cwt + 200 fixed, 1 shpmnt / 4 weeks (40 eng/4 wks *12 $/cwt *10 cwt/eng*200/4 wks )x 52/4)=$65,000 Reg: 5 $/cwt + 80 fixed, 1 shpmnt/week (10 eng/wk * 5 $/cwt * 10 cwt/eng * 80 $/wk) x 52wk/yr = $30,160 Prof = Rev – Cost: Each % increase est. to increase rev 400k Current LVL: 90%, cost = 2.5 M $/yr Alt 1 LVL: 92%, cost = 3 M$/yr Alt 2 LVL: 95%, cost 4 M $/yr Alt 3 LVL: 99%, cost = 6M $/yr Alt 1 Profit Increase = 2*.4 – (3-2.5) = .3 M Alt 2 Profit Increase = 5*.4 – (4-2.5) = .5 M Alt 3 Profit Increase = 9*.4 – (6-2.5) = .1 M Shortest Path: A-C-D-E-F length = 17 Slvd | Nrst Unslvd | TTL Dis | Nrst | Min Dist | Path | A | C | 2 | C | 2...
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...registrationgva¨wgK I D”Pgva¨wgK wk¶v †evW©, XvKv| www.dhakaeducationboard.gov.bd 20 m‡b 8g/9g †kÖwY‡Z AaxZ wkÿv_x©‡`i †iwR‡÷«kb Kv‡W© fzj ms‡kvab msµvšÍ Av‡e`b dig (mKj Z_¨ Bs‡iwR‡Z c~iY Ki‡Z n‡e) wkÿvcªwZôv‡bi bvgt..............................................................................EIINt.................................... _vbv/Dc‡Rjv (†KvWmn) t........................................................... †Rjv (†KvWmn) t.................................. µ. bs we`¨vjq †KvW †iwR‡÷«kb b¤¦i fzj Z‡_¨i weeiY (†iwR‡÷«kb Kv‡W© hv Qvcv n‡q‡Q) 1| bvg: 2| wcZvi bvg: 3| gvZvi bvg: 4| Hw”QK wel‡qi bvg I †KvW b¤¦it 5| Rb¥ ZvwiL (msL¨v I K_vq)t 1| bvg: 2| wcZvi bvg: 3| gvZvi bvg: 4| Hw”QK wel‡qi bvg I †KvW b¤¦it 5| Rb¥ ZvwiL (msL¨v I K_vq)t 1| bvg: 2| wcZvi bvg: 3| gvZvi bvg: 4| Hw”QK wel‡qi bvg I †KvW b¤¦it 5| Rb¥ ZvwiL (msL¨v I K_vq)t 1| bvg: 2| wcZvi bvg: 3| gvZvi bvg: 4| Hw”QK wel‡qi bvg I †KvW b¤¦it 5| Rb¥ ZvwiL (msL¨v I K_vq)t wet `Öt cÖvw_©Z mwVK weeiY (Bs‡iwR eo A¶‡i) 1| bvg: 2| wcZvi bvg: 3| gvZvi bvg: 4| Hw”QK wel‡qi bvg I †KvW b¤¦it 5| Rb¥ ZvwiL ( msL¨v I K_vq)t 1| bvg: 2| wcZvi bvg: 3| gvZvi bvg: 4| Hw”QK wel‡qi bvg I †KvW b¤¦it 5| Rb¥ ZvwiL (msL¨v I K_vq)t 1| bvg: 2| wcZvi bvg: 3| gvZvi bvg: 4| Hw”QK wel‡qi bvg I †KvW b¤¦it 5| Rb¥ ZvwiL (msL¨v I K_vq)t 1| bvg: 2| wcZvi bvg: 3| gvZvi bvg: 4| Hw”QK wel‡qi bvg I †KvW b¤¦it 5| Rb¥ ZvwiL (msL¨v I K_vq)t 04 03 02 01 Av‡e`b di‡gi mv‡_ wb‡¤œ ewY©Z KvMRcÎ Rgv w`‡Z I wb‡`©kbv AbymiY Ki‡Z n‡et(K) cÖwZôvb...
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...cÖÁvcb/ ˆe‡`wkK gy`ªv msµvšÍÍ cwicθ‡jv `ªóe¨| 1. evsjv‡`‡k wbevmx/Awbevmx Kviv? DËi: K. mPivPi evsjv‡`‡k emevmKvix/weMZ GK eQ‡i Ab~¨b Qq gvm evsjv‡`‡k Ae¯’vbKvix A_ev wbevmx cwiP‡q evsjv‡`‡k Ki`vZv e¨w³iv evsjv‡`‡k wbevmx MY¨ nb; evsjv‡`k cÖRvZ‡š¿i Kg©KZ©v/Kg©Pvixiv we‡`‡k `vwqZ¡ cvjb ev QzwU hvcbKv‡jI evsjv‡`‡k wbevmx MY¨ _v‡Kb| L. Dchy©³ eY©bvfz³ bb Ggb we‡`kx RvZxqZvi e¨w³eM© Ges evsjv‡`k cÖRvZ‡š¿i Kg©KZ©v/Kg©Pvix bb Ggb evsjv‡`kx bvMwiKMY we‡`‡k _vKvKvjxb mg‡q evsjv‡`‡k Awbevmx MY¨ nb| 2. evsjv‡`‡k ˆe‡`wkK gy`ªv µq-weµ‡qi ˆea c¶ Kviv? DËi: ˆe‡`wkK gy`ªvq †jb‡`‡bi Rb¨ evsjv‡`k e¨vs‡Ki jvB‡mÝ cÖvß Zdwmwj e¨vsK kvLv¸‡jv {Aby‡gvw`Z wWjvi ev GwW (authorised dealer) bv‡g cwiwPZ} wewfbœ Lv‡Z ˆe‡`wkK gy`ªv µq I weµ‡qi ˆea c¶; ågYLv‡Z ˆe‡`wkK gy`ªv †jb‡`‡bi Rb¨ evsjv‡`k e¨vs‡Ki mxwgZ jvB‡mÝavix gvwb‡PÄviivI we‡`k †_‡K AvMZ/we‡`kMvgx hvÎx‡`i m‡½ ågYLv‡Z ˆe‡`wkK gy`ªv µq I weµ‡qi Rb¨ ˆea c¶| evsjv‡`‡k Aby‡gvw`Z wWjvi e¨vsK I jvB‡mÝavix gvwb‡PÄvi Qvov Ab¨ †Kvb c‡¶i m‡½ ˆe‡`wkK gy`ªv µqweµq Foreign Exchange Regulation Act, 1947 Gi AvIZvq `Û‡hvM¨ Aciva| 3. †Kvb hvÎx we‡`k †_‡K Kx cwigvY ˆe‡`wkK gy`ªv m‡½ Avb‡Z cv‡ib? DËi: we‡`k †_‡K AvMZ hvÎx †h †Kvb cwigvY ˆe‡`wkK gy`ªv m‡½ Avb‡Z cv‡ib; Z‡e Gi cwigvY cuvP nvRvi gvwK©b Wjvi ev mgg~‡j¨i †ewk n‡j mgy`q As‡Ki †NvlYv ïé KZ©„c‡¶i Kv‡Q FMJ di‡g `vwLj Ki‡Z nq| AvbxZ cwigvY AbwaK cuvP nvRvi gvwK©b Wjvi ev mgg~‡j¨i n‡j ïé KZ©„c‡¶i Kv‡Q †NvlYv `iKvi nq bv| 4. we‡`k †_‡K Avbv ˆe‡`wkK gy`ªv m‡½ ivLv hvq wK? DËi: K. evsjv‡`‡k wbevmx †Kvb e¨w³ we‡`k †_‡K...
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...management plan. In addition, it will discuss the recommendation of three areas that as the new CEO of XYZ global financial services firm needs to focus and apply to influence the values of the firm and prevent a future crisis by creating a culture of candor, trust, and learning. Introduction Values are beliefs that people have about what is important or worthwhile to them. Values influence behavior because people seek more of what they value. As U.S. Supreme Court Justice Potter Stewart concluded, “There is a difference between what you have a right to do, and what is right to do.” (JWMI 505, Wk 8, Lecture 1). Values therefore can be seen as the guideposts for behavior. As opposed to rules, which are always transmitted from the top down, values should be developed in a more participative way. (JWMI 505, Wk 8, Lecture 1). An individual’s values are in large part, derived from the social environment in which he or she lives. For example, in Western democracies, life, liberty and the pursuit of happiness are some of the things we value. Sharing a common...
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...Andrew R. Cohen1, Christopher Bjornsson1, Ying Chen1, Gary Banker2, Ena Ladi3, Ellen Robey3, Sally Temple4, and Badrinath Roysam1 1 Rensselaer Polytechnic Institute, Troy, NY 12180, USA, 2 Oregon Health & Science University, 3181 SW Sam Jackson Park Road, L606, Portland, OR 97239, USA 3 University of California, Berkeley, Berkeley, CA 94720, USA 4 Center for Neuropharmacology & Neuroscience, Albany Medical College, Albany, NY 12208, USA ABSTRACT An algorithmic information theoretic method is presented for object-level summarization of meaningful changes in image sequences. Object extraction and tracking data are represented as an attributed tracking graph (ATG), whose connected subgraphs are compared using an adaptive information distance measure, aided by a closed-form multi-dimensional quantization. The summary is the clustering result and feature subset that maximize the gap statistic. The notion of meaningful summarization is captured by using the gap statistic to estimate the randomness deficiency from algorithmic statistics. When applied to movies of cultured neural progenitor cells, it correctly distinguished neurons from progenitors without requiring the use of a fixative stain. When analyzing intra-cellular molecular transport in cultured neurons undergoing axon specification, it automatically confirmed the role of kinesins in axon specification. Finally, it was able to differentiate wild type from genetically modified thymocyte cells. Index Terms: Algorithmic information...
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