Production plan Essay Example for Free

Production plan Essay Student #2: Vanessa Mijares ORGANIZATIONAL: Costed Recipes COOKING: Focaccia Bread and Torta Caprese Student #3: Juan ORGANIZATIONAL: Food Requisition COOKING: Braciole Calabresi and Action Plan Components 1. Cover sheet 2. Table of contents 3. Descriptive Copy MENU – MUST include salable descriptions of menu items. (Prepare a second copy for framed presentation. ) 4. Requisition 5. Daily Preplist and Transfer Task List – one per student per day with a time line (Great detail required) Or a threaded production list with timeline. 6. Daily prep lists cont. 7. Daily prep lists cont. 8. Daily prep lists cont. 9. Written Recipe Cards on 3X 5 or 4 X 6 Notecards – 1 per recipe Daily Preplist and Transfer Task List Weekly Topic: Southern Italy Student: Vanessa Mijares Team Members:Cassey Dodd, Greta Schmidt, Juan Vasquez DISHES ON WHICH I’M WORKING Focaccia Bread Torta Caprese TASKSStart Time:Completion Time: Make sponge for focaccia bread330335 Make batter for torta caprese, and bake335350 Make dough for focaccia bread, rest350405. Slice up strawberries for compote405415 Stretch out dough, rest415430 Bake bread430445 JUST BEFORE PLATING and TASKS AT PLATE UP Saute strawberries with sugar Daily Preplist and Transfer Task List Weekly Topic: Southern Italy? Student: Greta Schmidt ?Team Members: Vanessa Mijares, Juan Vasquez, Casey Dodd DISHES ON WHICH I’M WORKING Peperonata Orechietti Pasta with Artichokes TASKS Clean artichokes, clean peppers, peel tomatoes, Mise en place all ingredients. Start Time: 3:30 3:30 3:40 3:40 3: 50 Completion Time: 3:35 3:40 3:50 3:50 3:53 Boil pasta water, season with salt cook al,dente cool. Sautee Panchetta, add onions, artichokes add water cook ? Artichokes until tender. For the peperonata: saute sofrito, tomatoes Sautee peppers, add sofrito and capers? JUST BEFORE PLATING and TASKS AT PLATE UP Reheat pasta and toss with artichokes sauce, herb and cheese Correct seasoning on both dishes Heat plates, present dish Daily Preplist and Transfer Task List Weekly Topic: Southern Italy Student: Casey Dodd. Team Members: Greta Schmidt, Juan Vasquez, Vanessa Mijares DISHES ON WHICH I’M WORKING Insalata di Seppie, Calamari, e Gamberi Tunnu a Palirmitana TASKSStart Time:Completion Time: Ask Chef for wine from the store room330335 Get two big pots of boiling water going335350 While water heats up fabricate all seafood350405 Make tuna marinade as soon as possible405415 Make sauce for the seafood415430 Grill the tuna430445 Finish both procedures445545 JUST BEFORE PLATING and TASKS AT PLATE UP Clean all dishes and clean worktable. Stay organized!

The Flaws of the Weimar Constitution Essay -- The Weimar Republic, Ger

The Flaws of the Weimar Constitution The majority of people believe that it was the Weimar constitution which was fundamentally flawed and that this damaged the long term prospects of the Weimar republic, although strong points can be identified in the constitution which support the argument that the constitution wasn't to blame for the republics downfall. From this some historians have determined that the role of the constitution in the downfall of the republic is exaggerated. There were a wide variety of things that played a part in the collapse of the republic; one of these was the problems linked with proportional representation. There were two main problems with proportional representation the first is that in this kind of electoral system its much easier for extremist groups to gain seats in the Reichstag. In the first past the post system a certain number of votes does not guarantee a party representation in the Reichstag. This means that there is a limited number of parties in the Reichstag, making it easier to gain an overall majority thus meaning fewer coalition governments and a more stable power base. During the Weimar era the exact opposite to this happened. For example Weimar was on its seventh government by 1923 and coalitions were continually being broken up and parties leaving the government. This caused disruption and unrest and made the running of the country difficult for the next government. Another important point that historians like to make is that coalition governments have worked well before in different circumstances and cultures. Other arguments suggest that proportional representation encouraged spl... ...rather than making the changes necessary to sure up the economy. Increased inflation over the years did nothing to reinstate the people's faith in democracy. The main reason the constitution failed was not because the document itself was flawed but because the German people were not ready or prepared to make such a sudden change from autocracy to democracy. Other reasons were that people like Hitler were able to take advantages of loopholes such as article 48, but this again wasn't the fault of the constitution more the people who had put Hitler in the position of chancellor. The constitution was not truly flawed because it is likely that the same constitution would have worked well under different circumstances, but the other factors involved in Germany at this time made it impossible for it to operate successfully.

Software Security Risk Analysis Using Fuzzy Expert System

| | |Software Level of Security Risk Analysis Using Fuzzy | |Expert System | |[ARTIFICIAL INTELLIGENT] |UNIVERSITI TEKNIKAL MALAYSIA MELAKA FACULTY OF INFORMATION & COMMUNICATION TECHNOLOGY SESSION 2 – 2010/2011 |NURUL AZRIN BT AIRRUDIN – B031010343 | |SITI NURSHAFIEQA BT SUHAIMI – B031010313 | |NUR SHAHIDA BT MUHTAR – B031010266 | | | |LECTURE NAME: DR ABD.SAMAD HASSAN BASARI | | | |[12th APRIL 2011] | SOFTWARE LEVEL OF SECURITY RISK ANALYSIS USING FUZZY EXPERT SYSTEM ABSTRACT There is wide concern on the security of software systems because many organizations depend largely on them for their day-to-day operations. Since we have not seen a software system that is completely secure, there is need to analyze and determine the security risk of emerging software systems.This work presents a technique for analyzing software security using fuzzy expert system. The inputs to the system are suitable fuzzy sets representing linguistic values for software secu rity goals of confidentiality, integrity and availability. The expert rules were constructed using the Mamdani fuzzy reasoning in order to adequately analyze the inputs. The defuzzication technique was done using Centroid technique. The implementation of the design is done using MATLAB fuzzy logic tool because of its ability to implement fuzzy based systems.Using newly develop software products from three software development organizations as test cases, the results show a system that can be used to effectively analyze software security risk. ANALYSIS AND DESIGN The design is basically divided into four stages: 1) DESIGN OF THE LINGUISTIC VARIABLES The inputs to the system are the values assumed for the software security goal thru confidentiality, integrity and availability. The goals are assumed to be the same weight and a particular valued is determined for each of them based on questions that are answered about the specific software.Also the values determined for each of the inpu t are defined as a fuzzy number instead of crisp numbers by using suitable fuzzy sets. Designing the fuzzy system requires that the different inputs (that is, confidentiality, integrity, and availability) are represented by fuzzy sets. The fuzzy sets are in turn represented by a membership function. The membership function used in this paper is the triangular membership function which is a three point function defined by minimum, maximum and modal values where usually represented in 1. [pic]Figure 1: Triangular Membership Function 2) THE FUZZY SETS The level of confidentiality is defined based on the scales of not confidential, slightly confidential, very confidential and extremely confidential. The level of integrity is also defined based on the scales very low, low, high, very high, and extra high. Also, the level of availability is also defined by the scales very low, low, high, very high and extra high. The levels defined above are based on a range definition with an assumed int erval of [0 -10]. The ranges for the inputs are shown in tables 1 and 2. DESCRIPTION |RANGE | |Non-Confidential |0-1 | |Slightly Confidential |2-3 | |Confidential |4-6 | |Very Confidential |7-8 | |Extremely Confidential |9-10 | Table 1: Range of inputs for Confidentiality Very Low |Low |High |Very High |Extra High | |0 – 1 |2 – 3 |4 – 6 |7 – 8 |9 – 10 | Table 2: Range of inputs for Integrity |Very Low |Low |High |Very High |Extra High | |0 – 1 |2 – 3 |4 – 6 |7 – 8 |9 – 10 |Table 3: Range of inputs for Availability |DESCRIPTION |RANGE | |Not Secure |0 – 3 | |Slightly Secure |4 – 9 | |Secure |10 – 18 | |Very Secure |19 – 25 | |Extremely Secure |26 – 30 | Table 4: Level Of Security RiskThe fuzzy sets above are represented by membership functions. The corresponding membership functions for confidentiality, integrity and availability are presented in figures below [pic] Figure 1 : Mem bership functions for Confidentiality Similarly, the output, that is, the level of security risk is also represented by fuzzy sets and then a membership function. The level of security risk is defined based on the scales: not secure, slightly secure, secure, very secure, and extremely secure within the range of [0- 30].The range definition is shown in table above. The membership function for the output fuzzy set is presented in figure below. [pic] Figure 2 : Membership functions for Integrity [pic] Figure 3 : Membership functions for Availability [pic] Figure 4 : Level Of Security Risk 3) THE RULES OF THE FUZZY SYSTEM Once the input and output fuzzy sets and membership functions are constructed, the rules are then formulated. The rules are formulated based on the input parameters (confidentiality, integrity, and availability) and the output i. e. level of security risk.The levels of confidentiality, integrity, and availability are used in the antecedent of rules and the level of sec urity risk as the consequent of rules. A fuzzy rule is conditional statement in the form: IF x is A THEN y is B. Where x and y are linguistic variables; and A and B are linguistic values determined by fuzzy sets on universe of discourses X and Y, respectively. Both the antecedent and consequent of a fuzzy rule can have multiple parts. All parts of the antecedent are calculated simultaneously and resolved in a single number and the antecedent affects all parts of the consequent equally.Some of the rules used in the design of this fuzzy Systems are as follow: 1. If (Confidentiality is Not Confidential) and (Integrity is Very Low) and (Availability is Very Low) then (Security Risk is Not Secure). 2. If (Confidentiality is Not Confidential) and (Integrity is Very Low) and (Availability is Low) then (Security Risk is Slightly Secure). 3. If (Confidentiality is Extremely Confidential) and (Integrity is Extra High) and (Availability is High) then (Security Risk is Slightly Secure). †¦ †¦Ã¢â‚¬ ¦. 125.If (Confidentiality is Not Confidential) and (Integrity is Very Low) and (Availability is high) then (Security Risk is Extremely Secure). The rules above were formulated using the Mamdani max-min fuzzy reasoning. DEVELOPMENT AND IMPLEMENTATION The linguistic variables were determined with the extent of the positive and negative responses to a well constructed security questions that are presented in form of on-line questionnaire. As it was mentioned earlier, MATLAB was used for the implementation. The linguistic inputs to the system are supplied through the graphical user interface called rule viewer.Once the rule viewer has been opened, the input variables are supplied in the text box captioned input with each of them separated with a space. a) THE FIS EDITOR The fuzzy inference system editor shows a summary of the fuzzy inference system. It shows the mapping of the inputs to the system type and to the output. The names of the input variables and the processing methods for the FIS can be changed through the FIS editor. Figure 5: The FIS editor b) THE MEMBERSHIP FUNCTION EDITOR This can be opened from the command window by using the plotmf function but more easily through the GUI.The membership function editor shows a plot of highlighted input or output variable along their possible ranges and against the probability of occurrence. The name and the range of a membership value can be changed, so also the range of the particular variable itself through the membership function editor. [pic] Figure 6: The Membership Function editor c) THE RULE EDITOR The rule editor can be used to add, delete or change a rule. It is also used to change the connection type and the weight of a rule. The rule editor for this application is shown in figure 7. pic] Figure 7: Rule Editor d) THE RULE VIEWER The text box captioned input is used to supply the three input variables needed in the system. The appropriate input corresponds to the number of YES answer in the questionnaire for each of the input variables. For example, in the figure 8, all the input variables are 5 and the corresponding output is 13. 9, which specified at the top of the corresponding graphs. The input for each of the input variables is specified at the top of the section corresponding to them, so also the output variable.The rule viewer for this work is presented in figure 8. [pic] Figure 8: The Rule editor e) THE SURFACE VIEWER The surface viewer shown in figure 9 is a 3-D graph that shows the relationship between the inputs and the output. The output (security Risk) is represented on the Z-axis while 2 of the inputs (Confidentiality and Integrity) are on the x and y axes and the other input (Availability) is held constant. The surface viewer shows a plot of the possible ranges of the input variables against the possible ranges of the output. 4) EVALUATIONThe security risk analysis system was evaluated using three newly completed software products from three different s oftware development organizations. The output determines the security level of software under consideration. The summary of the evaluation is given in figure 11. For product A, 5 is the score for confidentiality, 5 for the integrity and 5 for the availability. |Software |Input |Output |Significance |Security Level | |Product A |5 5 5 |13. |45% slightly secure, 55% secure |46. 33 % | |Product B |8 7 8 |24. 2 |20% secure, 80% very secure |80. 60 % | |Product C |10 10 10 |28. 4 |35% very secure, 65% extremely secure |94. 67 % | Table 5 : Evaluation of Different Input Variables [pic] Figure 9 : The Surface Viewer [pic] Figure 10 : Histogram & 3D CONCLUSION AND FINDINGThus, this work proposes a fuzzy logic-based technique for determination of level of security risk associated with software systems. Fuzzy logic is one of the major tools used for security analysis. The major goals of secure software which are used as the inputs to them system are the preservation of confidentiality (preven ting unauthorized disclosure of information), preservation of integrity (preventing unauthorized alteration of information) and preservation of availability (preventing unauthorized destruction or denial of access or service to an authentic user).It might be necessary to redesign this system in a way that it will be deployable and will be without the use of MATLAB. It might also be necessary to use an adaptive fuzzy logic technique for security risk analysis. We have been able to design a system that can be used to evaluate the security risk associated with the production of secure software systems. This will definitely help software organizations meet up with the standard requirements. A technique for assessing security of software system before final deployment has been presented.The result of this study shows that if the software producing companies will incorporate security risk analysis into the production of software system, the issue of insecurity of software will be held to the minimum if not eliminated. This study has also revealed that if each of the software security goals can be increased to the maximum, then the level security will also be increased and the risk associated will be eliminated. Finally, security risk analysis is a path towards producing secure software and should be considered a significant activity by software development organizations.

Importance of Studying the Business Environment. - 684 Words

BUSINESS ENVIRONMENT. The business environment is the aggregate of all conditions, events, and influences that surround and affect a business firm. Business environment generally refers to the external factors affecting, either positively or negatively, the operation of a firm. The most important external factors include economic, legal, political, social and technological factors Business environment is classified as follows:- (a) Internal Environment: These are the environmental factors which include :- (i) Man (ii) Machine (iii) Material (iv) Material (v) Management (b) External Environment : they are classified as†¦show more content†¦A firm may be strong in certain areas; where as it may be weak in some other areas. The firm should identify sue weakness so as to correct them as early as possible. (3) Identification of Opportunities: An analysis of the external environment helps the business firm to identify the opportunities in the market. The business firm should make every possible effort to grab the opportunities as and when they come. (4) Identification of Threats: Business may be subject to threats from competitors and others. Therefore environmental analysis helps to identify threats from the environment identification of threats at an earlier date is always beneficial to the firm as it helps to defuse the same. (5) Exploitation of Business Opportunities: Environment opens new opportunities for the expansion of business activities. Study of environment is necessary in order to discover and exploit such opportunities fully. (6) Keeping Business Enterprise Alert: Environment study is needed as it keeps the business unit alert in its approach and activities. In the absence of environmental changes, the business activities will be dull and lifeless. The problems amp; prospects of business can be understood properly through the study of business environment. This enables an enterprise to face the problems with confidence and secure the maximum benefits of business opportunities available. (7) Keeping Business FlexibleShow MoreRelatedReflective Report : Look The Module Description845 Words   |  4 Pageswould like to address here in this report some the most importance elements about what I have learned in this course up to now(MSc in public service). meanwhile, it must be said that some of these knowledge acquired is due to the environment surrounding me. 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