Lap Lab Report Example | Topics and Well Written Essays - 500 words

Lap - Lab Report Example Turbidity, temperature, pH level, oxygen concentration, hardness, and concentration of elements like aluminum, nitrogen ions, phosphate ions, and ammonia molecules are examples of determinants of water quality (Miller and Spoolman, p. 532). Water sample was collected on Cherry Creek using a wide mouthed jar and the jar rinsed three times. The jar was then held from its base, immersed in water and then turned into the water current. Water was allowed to flow into the container for 30 seconds and filled up to the turbidity line. Turbidity chart was then held against the container and comparisons made to determine the water sample’s turbidity level that was recorded. Tests were then conducted for alkalinity level, pH dissolved oxygen, hardness, temperature, and nitrate and phosphate levels. Results were recorded for each measurement. The water sample reported a turbidity level of 20 jhu units, a value that is far beyond the recommended level of less than 1 jhu. The concentration of dissolved oxygen that was reported at 5 ppm is consistent with the recommended level of between 4 and 5 ppm. The alkalinity evel of the water sample was recorded at 400 ppm, far above the minimum recommended value of 30 while temperature was recorded at 160 c, a comparatively lower value than the recommended 250 c. The hardness measure also superseded the recommended minimum value of 60 ppm while the reported pH level was within the recommended range of between 5 and 9 units. Nitrogen, phosphate and ammonia levels were reported at 3, 2, and 0 units, values that are within the recommended levels of 3, 2.25, and 1.5 units respectively (Twort, Ratnayaka and Brandt 222- 225). The sample’s low temperature was lower than the recommended levels for water quality. Its biological properties, as reported through turbidity level, also identify excess pollutants and hence poor quality. The chemical properties in alkalinity level, pH level, and

Food and Wine Festivals Essay Example | Topics and Well Written Essays - 2000 words

Food and Wine Festivals - Essay Example The festivals gather a sum of wide advantages in the life of an individual as well as the concerned state or region. The festivals give way for popularity and fast reaching among the people of different nations. It gives a wide communal experience not only to those indigenous people but also to the visitors. The visitors will find similarities as well as dissimilarities that exist between their festivals and the festivals of other regions. Local festivals pave way for an effective globalization and uniqueness in the locality could also be reached. Festivals turn everyday routine life to a special day mixed with different events such eating, dancing, singing, and drinking. As a result food and wine have become a common factor in all kinds of festivals. This seems to give immense pleasure not only to visitors but also to the inhabitants. This has helped a lot in spreading wine culture. Various festivals show that has to say that festival tourist is the high spending tourist that those who Come just for viewing the landscapes. Festivals help in strengthening tourism season. The commerce of a region is generated by festivals in terms of the rate of tickets, number of tickets sold and the travel expense which a visitor is likely to spend. The local government receives special attention during festival seasons. A festival attracts investors, tourists, participants, sponsors as well media and this will finally lend more profit to the local government. The 2003 national survey of the state of affairs in cultural life shows that 10 million people participated and were among the age group between 14-70. The economically consolidated country takes more chance in festivals in a large amount.

Critique of a qualitative article Essay Example | Topics and Well Written Essays - 1250 words

Critique of a qualitative article - Essay Example Her contribution in field of research has enable her receive numerous awards such as the Eastern Nursing Research Society’s Distinguished Researcher Award, the Connecticut Nurse’ Association’s Diamond Jubilee award and many others. For the past 20 years, Cheryl main area of research has been on efforts to develop a research program on postpartum mood and anxiety disorders. Based on findings from the numerous studies she has undertaken, she has developed the Postpartum Depression Screening Scale (PDSS) which has been and continues to be published by Western Psychological Services. â€Å"There is no escaping the reality for Mothers of Children with Obstetric Brachial Plexus injuries† is one of the papers written by Cheryl after extensive research on mothers experiencing care for their children with an OBPI. The site of the study was the United States of America and a total of 23 mothers of children with OBPIs were used for the study. Research on mothers expe riencing care for their children with an OBPI by Cheryl is a phenomenology research. This is because it involves small number of samples and is basically concerned with the systematic reflection on and study of the structures of conscience and the phenomena that appear in acts of consciousness. Shoulder dystocia is considered the obstetric nightmare and some likely complication of shoulder dystocia to the infant is obstetric brachial plexus injury (OBPI). Generally, 20% to 30% of infants with OBPI are characterized by residual functional deficits (Beck, 2004). The main objective of the study was to investigate mothers’ experiences caring for their children who have obstetric brachial plexus injury (OBPI) (Beck, 2004). The purpose of the study is practical because Cheryl focuses on mothers who had experience caring for children suffering from obstetric brachial plexus injury. The study states that the recent countrywide study in the USA, the reported mean and standard error of OBPI incidence was 1.51+-0.02 per 1000 live births. It is worth noting that the statistics is based 1997, 2000 and 2003 data on more than 11 million births in Inpatient database (Beck, 2004. The sample size of the study comprised of 23 mothers from the USA who had children suffering from OBPI. The mother’s age ranged from 25 to 47 years while that of their children ranged from 3 months to 10 years. Of the 23 women selected for the study, 1 was single, 3 were divorced and 19 were married (Beck, 2004). In terms of ethnicity; 1 each was Hispanic, Black and Asian while 18 were Caucasian. However, 2 of the women did not reveal their ethnic background. In terms of education, 2 of the women had high school diplomas, 3 reported partial colleges, 3 had associate degrees, 7 had bachelor’s degrees, and 4 had master’s degree while 2 attained doctoral degree. However, two of the participants did not reveal their level of education (Beck, 2004). Two methods was used to colle ct data-the Internet and in-person interviews. This followed an approval from the university’s institutional review board. There was quite a long period of time for data collection starting from October 2005 to December 2007. Because of the in-person interviews, the data collection method was partly a field study since it involved the researcher going to the camp to collect data (Beck, 2004). The researcher played a vital role in ensuring validity of the data through going out to the field and having first-hand information from those families who had

PSO Based Algorithm for Optimal PMU Placement in KPTC

PSO Based Algorithm for Optimal PMU Placement in KPTC A PSO Based Cluster Formation Algorithm for Optimal PMU Placement in KPTCL First A. Author, Designation, Organization, Second B. Author, and Third C. Author, Jr., Designation, Organization Abstract— Power system state estimation with the exclusive deployment of synchronous phasor measurements demands that the system must be completely observable with PMUs only. Direct measurement of phase angles of current and voltage phasors are now possible by Phasor Measurement Units (PMUs). To have lesser number of PMUs, the placement problem in any network is considered as an optimization problem. This paper presents a Particle Swarm Optimization (PSO) based cluster formation algorithm for optimal PMU placement. The proposed algorithm clusters the buses into many sub groups and the maximum connectivity bus is selected as the header bus. The PMU is placed on the header bus to manage the connected buses for complete system observability. This paper analyses the proposed algorithm for the following three cases: Without PMU loss, With single PMU loss, and Zero Injection Bus. The simulation results for IEEE bus and the KPTCL bus systems are presented and compared with the existing approaches. The proposed results show that the method is simple to implement and provide the accurate PMU placement. Index Terms— IEEE Bus, Karnataka Power Transmission Corporation Limited (KPTCL), Optimal PMU Placement, Particle Swarm Optimization (PSO), Phasor Measurement Units (PMUs), and Power System State Estimation I. Introduction Power utilities are facing numerous threats of security of operation due to the over stressed power network in the today’s competitive power market scenario. Phasor Measurement Unit (PMU) is an evaluating device which is used to measure the current and voltage. It uses the Global Positioning System (GPS) pulse to facilitate the synchronized measurements of real time phasors of currents and voltage. A power system is said to be recognizable when voltage phasors at all the buses are known. According to Ohm’s Law, if a PMU is placed at the bus, then the neighboring buses also become observable. Obviously, when PMUs are placed at all the buses of the network, and the measurements for all the PMUs are communicated to the control units, then the voltage phasors at all the buses would be known. This approach can change the traditional estimation to state measurement. PMUs are already installed in several utilities for various applications around the world such as state estimat ion, adaptive protection and system protection schemes. Other application fields include stability monitoring, Wide Area Monitoring and Control (WAMC) and efficient system utilization. In the traditional power systems, the buses are monitored using the conventional measurements from voltage and current transformers and the data are forwarded to the Energy Management System (EMS) through the Supervisory Control and Data Acquisition (SCADA) system. It collects the real time measurements from the Remote Terminal Units (RTUs) placed in substations. This approaches are not able to monitor all the measurements across a wide area power system because the data are not time-synchronized [1]. PMUs are an essential part of smart grids and hence the rate of PMU installations are increasing. In the emerging technology, the major issue need to be addressed is the placement of PMUs, which is influenced by the anticipated system applications. The major factor limiting the number of PMU installations are their cost and the communication facilities. Hence, the cost and communication constraints of PMUs have been motivated the researchers to identify the minimal PMU installation for the anticipated applications. Placing PMUs on all buses of the power system results a complete observability of the system. Since, a bus is observed if a PMU is placed on it or some of its neighboring buses, it is neither economical nor necessary to carry put such installations. As a consequence, a problem called Optimal PMU Placement (OPP) problem has been occurs. The aim of this paper is to identify the optimal number of PMUs to make the KPTCL topologically observable. Here, a PSO based Clustering Algorithm is proposed to cluster the buses. The header bus is selected based on the maximum connectivity among the buses. The header bus is placed with the PMU to monitor the other connected buses. The PMU placement strategy confirms the system observability during the normal working conditions and also the single PMU failures. The proposed method is found to be simple, fast and accurate in computation. The proposed method is applied on IEEE-6, IEEE-7, IEEE-9, IEEE-14, IEEE-30 bus systems and KPTCL power maps for 28 bus, 127 bus and 155 bus systems to verify the proposed algorithm performance. The remaining part of the paper is organized as follows: Section II involves the works related to the existing algorithms for optimal PMU placement problem. Section III involves the description of the proposed PSO based cluster formation algorithm for optimal PMU placement. Section IV involves the performance analysis of the proposed work. The paper is concluded in Section V. II. Related Works With the number of PMUs estimated for installation in the near future, both the utilities and researchers are looking for the optimal solutions to their placement. The solutions for the optimal PMU placement problem can be classified into two types: mathematical and heuristic algorithms. Some of the existing works related to the optimal PMU placements are discussed. Integer programming is a mathematical programming approach for solving an optimization problem having integer design variables. Singh introduced an integer programming based methodology for the optimal placement of PMU. It reduces the cost of installation and facilitate the entire power system observability. The zero injection buses concept was used to further reduce the number of PMUs. Integer programming helps to provide multiple results if the neighboring buses to zero injection buses were not handled properly. The best results was selected based on the [2]. Fan and Watson proposed a multi-channel PMU placement problem and their solution. Here, a close relationship among the PMU placement problem and the classic combinatorial problem were identified [3]. Roy et al proposed an optimal PMU placement approach for power system observability. Here, a three stage optimal PMU placement method was formulated based on network connectivity information. Stage 1 and stage 2 of the algorithm iteratively estimate the less important bus locations to eliminate the PMUs and estimates where the PMUs were retained. The last stage reduces the number of PMUs using the pruning operation. The optimal set of PMU locations were obtained for network observability [4]. Manousakis and Korres designed a weighted least squares algorithm for optimal PMU placement. A quadratic minimization problem with continuous decision factors were formulated subject to the nonlinear observability constraints. The optimal solution was obtained by an unconstrained nonlinear weighted least squares method [5]. Mahari and Seyedi proposed a Binary Imperialistic Competition Algorithm (BICA) for optimal PMU placement. The zero injection bus was considered for all investigations to obta in the suitable answers. In addition to the traditional rules, new rule was also generated. It helps to reduce the number of PMUs placement [6]. Tai et al proposed a Random Component Outages (RCO) for optimal PMU placement for power system estimation. The optimal locations were chosen to reduce the state estimation and error covariance [7]. Sodhi et al presented an optimal PMU placement method for complete topological and numerical observability of power system. A two stage PMU placement approach was proposed. Stage 1 identifies the minimum number of PMUs to make the system topologically observable. Stage 2 was proposed to identify if the resulted PMU placement yields to a full ranked measurement Jacobian. A sequential elimination algorithm was proposed to identify the optimal locations of additional PMUs [8]. An Exhaustive search is an optimization technique which systematically enumerates all possible candidates for the solution. It chosen the candidate which satisfy the constraints at the optimum objective function value. It guaranteed the finding of the global optimum but it was not suitable for large scale systems with h uge search space. Azizi et al proposed an optimal PMU placement by an equivalent linear formulation for exhaustive search. The state estimation was implemented based on the complete linear placement [9]. Fei et al [10] discussed an optimal PMU placement based on the limited exhaustive approach. An approximately optimal PMU placement (AOPP) was established in order to identify the searching space. AOPP was deterministically retrieved by detailed power system state observability analysis. The notion of bus neighbor was defined to derive the searching space of limited exhaustive approach. The heuristic algorithms applied for optimal placements are Genetic algorithm, Tabu Search, Simulated Annealing, Differential Evolution, Particle Swarm Optimization (PSO), Immune Algorithm, Iterated Local Search (ILS), Spanning Tree Search (STS), Greedy Algorithm, Recursive Security N Algorithm, Decision Tree and Practical Heuristic Algorithm. Hajian et al introduced an optimal PMUs placement to maintain the network observability using a modified BPSO algorithm. An optimal measurement set was estimated to obtain the full network observability during normal conditions. After any PMU loss or single trans mission line outage, the derived scheme in normal condition was modified. Observability analysis was carried out based on topological observability rules. A new rule was added to minimize the number of PMUs for complete system observability. A modified BPSO algorithm was used as an optimization tool to get the minimal number of PMUs and their corresponding locations [11]. Sharma and Tyagi designed an optimal PMU placement approach based on Binary Particle Swarm Optimization (BPSO) with the conventional measurements. Quadratic programming was used in BPSO algorithm. A method for pseudo observability was introduced for depth one and depth two with and without zero injection measurements. It was tested on IEEE-7, IEEE-14, IEEE-30 and IEEE-57 bus system using BPSO technique [12]. Peng et al formulated a multi objective optimal PMU placement using a non-dominated sorting differential evolution algorithm. It is an organic integration of Pareto non-dominated sorting operation and the differential evolution algorithm. It enhances the individual crowding mechanism and mutual mechanism [13]. El-Zonkoly et al proposed an Improved Tabu Search (ITS) for complete observability and out of step prediction. The system was based on numerical observability and artificial intelligence. ITS was used to identify the optimal placement for the PMU to keep the system complete ly observable. A Predictive Out of Step (OOS) algorithm was proposed based on the observation of the voltage phase difference among the substations [14]. Aminifar et al formulated an optimal PMU placement based on probabilistic cost or benefit analysis. The reduction of system risk cost was recognized as the benefit linked with the development of wide area measurement system [15]. Das et al designed a simulation of wide area measurement system with optimal phasor measurement unit location. These measurements were generally taken for every 4 to 10 seconds offering a steady state view of the power system behavior. It was implemented on IEEE six bus system [16]. Jamuna and Swarup proposed a multi-objective biogeography based optimization for optimal PMU placement. Here, the concurrent optimization of the two conflicting objectives like minimization of the number of PMUs and maximization of the measurement redundancy were performed. The Pareto optimal solution was obtained based on the non-dominated sorting and crowding distance. The compromised solution was selected based on the fuzzy based mechanism from the Pareto optimal solution [17]. Ghosh et al made a reliability analysis of GIS aided optimal PMU location for smart operation. It investigate the impact of topological attributes on commissioning PMUs. Reliability was ensured through various PMU connectivity c onfiguration [18]. Peppanen et al proposed an optimal PMU placement with binary PSO [19]. Abiri et al introduced an optimal PMU placement method for complete topological observability of power system. A revised formulation for the optimal placement problem of the kinds of PMUs was presented [20]. III. PSO Based Cluster Formation For Optimal PMU Placement Power system observability is essential for identifying the real time monitoring and state estimation of the system. PMUs enable advanced solutions to existing utility problems and provide power system engineers a whole range of potential benefits: Accurate estimation of the power system state can be obtained at frequent intervals, Permitting dynamic phenomena to be observed from a chief location and suitable control actions are taken. Post disturbance analysis will be much improved for the PMU placement problem, which is obtained with the precise pictures of the system states through GPS synchronization. This section proposed a PSO based Optimal PMU Placement in power systems. The objective of this method is to provide the optimal placement of PMUs, which can make the system observable and to maximize the measurement redundancy of the system. Fig.1 shows the flow of the proposed method. Initially, the bus system is taken and each bus is considered as a node. Each node connectivity is updated in the binary table. Here, we are considering the following three cases: Without PMU Loss With PMU Loss Zero Injections A. Particle Swarm Optimization Based Cluster Formation for Optimal PMU Placement PSO is an optimization algorithm which facilitates a population based search procedure in which individual are termed as particles. Here, the PSO algorithm is used to cluster the buses for optimal PMU placement. Each particle contains a PMU placement configuration for a power system. It represents that each particle is constructed by binary dimensions, such that each bus of the power system has a dimension which indicates the existence of a PMU in that bus, it is equal to 1, otherwise 0. Algorithm 1: PSO based Cluster Formation Input: Connectivity details of the given bus system 1: Create binary table for the given buses as For i = 1 to number of bus For j = 1 to number of bus If bus (i) connect to bus (j) Matrix element represent as 1 Else Matrix element represent as 0 End If End For End For 2: D= Sum (f(x)) 3: L = max (d) 4: Calculate the bus connection for Lth bus and place PMU on that bus 5: Update the binary table by eliminating the bus from binary table 6: Initialize particles 7: Position of particles = ‘x’ and ‘y’ coordinating points of bus location. 8: Velocity = random (number of buses) 9: Check fitness for given position by using objective function. 10: Minimum (F_Position) 11: 12: Position = Position + Velocity 13: For k = 1 to iteration If Present_fitness < Last_fitness Update fitness value End If Update velocity and position. End For 14: Find maximum (fitness_value), mf = max (fitness) 15: Place PMU on that bus. 16: Update binary table by eliminating the bus from binary table. 17: Loop to Step 6 until binary table gets empty. 18: If the PMU placed at only one bus, Check the nearest bus and made connection between them and update cluster. 19: End If The proposed algorithm is applied on the three cases for optimal PMU placement. B. Case 1: Without PMU Loss In this case, the zero injection and the flow measurement are ignored. To formulate the constraint set, the binary connectivity matric is formed whose entries are defined in the following equation: (1) The matrix can be directly calculated from the bus admittance matrix by converting the entries in the binary form. Consider the six bus system The binary table B is defined as (2) The constraints for this case is, (3) From the binary table, identify the maximum connectivity among the buses. The table shows the maximum connectivity is occurred in bus 3. Hence, bus 2, 3, 4, 5, and 6 are eliminated from the binary table. Then, the binary table can be updated as, (4) After performing the PSO based clustering algorithm, the PMU is placed on bus 1 and bus 3, which is shown in fig.3. C. Case 2: With loss of PMU It is considered as each bus is observable by single PMU and these PMUs are placed by the proposed clustering algorithm. Hence, the placement of PMUs are highly reliable but, if any disturbance occurred in power system or due to maintenance purpose any of the PMUs places is out from the system. If any of the PMU is disconnected, then some of the buses are connected to that PMUs are not remain observable. In order to overcome such unexpected PMU failures, a strategy is considered for single PMU loss. It can be achieved if all the buses are observed by at least two PMUs. These are operated as two sets, Primary set Backup set If suppose the PMU from primary set is not working properly, then the backup set will take the responsibility to observe the buses. To obtain the couple of PMUs, the constraint and objective function will remain same by only modifying the change in matrix f. In this case, the elements of f is equal to 2 instead of 1. It is defined as follows: (5) This case place the PMU for monitoring the single bus by two PMUs. Other than the objective function, the steps are same. The new constraint function can be constructed as follows: (6) D. Case 3: Zero Injection Zero injection buses are the buses from that no current is passed into the system. Zero injection correspond to the transferring nodes in the system. If zero injection buses are also designed in the PMU placement problem, the entire number of PMUs are further minimized. Consider the following example for zero injection on six bus system where bus 2 is considered as the zero injection bus. Now, the constraint for zero injection bus can be written as follows, (7) From the above equation, it is identified that the bus 3 has maximum connectivity. Hence, PMU is placed on the bus for entire system observability. IV. Performance Analysis To evaluate the performance of the proposed method, the optimal placement of PMU problem is solved for IEEE standard bus system and KPTCL 220 and 400 kV power systems. The KPTCL power buses are shown in fig.6. The results of the proposed method for IEEE bus system is illustrated in table 2. Here, IEEE-6 bus, IEEE-7 bus, IEEE-9 bus, IEEE-14 bus, and IEEE-30 bus system are considered for evaluation. Table 2 provides results for the three cases of IEEE bus systems. We collect the data from the KPTCL 220 and 400 kV power system. Here, the PMU placement is obtained only for the case 1 (without PMU loss). Hence, we proposed an algorithm to obtain the PMU placement, which suits for all the three cases (with loss, without loss, zero injection bus). Table 3 provides the total number of PMU placement collected from the KPTCL. Whereas table 4 provides the proposed result for the given power system. The proposed method results for 28 bus, 127 bus and 155 bus system in all the three cases. V. Conclusion and Future Work In this paper, a PSO based cluster formation algorithm is proposed to solve the optimal PMU placement problem.

Fossil Fuel versus Solar Power: Where the Line Meets the Circle Essay

Fossil Fuel versus Solar Power: Where the Line Meets the Circle There are a number of benefits to building a house that utilizes direct solar energy as compared to current conventional designs, which are largely powered and heated by energy from fossil fuels. According to a number of estimates, it is actually cheaper in the long term to incorporate solar energy into building design. Solar energy is far cleaner than fossil fuel derived energy, and therefore is far less impacting on the health of humans and the environment. There are a number of innovative technologies that have been developed for nearly every application of solar energy, thus making its use comparably convenient to fossil fuel use, but with greater assurance of long-term dependability. While it is currently still cheaper to build a home around the theme of fossil fuel power, the cheap supply of this finite resource is rapidly diminishing. The years that are left in which fossil fuels will be accessible to the general public are numbered for certain. One of the factors contributing to the widespread misconception that this is not so is the overestimation of fossil fuel reserves due to varying regulations regarding proved oil reserves among different countries (Campbell & Laherrere, 1998). Problems of this nature have occurred with the former Soviet Union (Campbell & Laherrere, 1998). Another factor is deliberate misrepresentation, which is highly probable in the case of OPEC estimates from 1998, in which three hundred billion barrels of oil were added to OPEC reserve estimates without any accompanying reserve discoveries (Campbell & Laherrere, 1998). While fossil fuels are a form of stored solar energy and thus finite, direct solar energy can be consid... ...th’s natural energy flows. This could be described as an interdependent system rather than a dependent system as is the case with fossil fuels. References Cited Campbell, C.J. & Laherrere, J.H. (1998). The End of Cheap Oil: global production of conventional oil will begin to decline sooner than most people think, probably within ten years. Scientific American. Gould, S.J. (2000). The Golden Rule: a proper scale for our environmental crisis. Chapter nine from The Earth Around Us: maintaining a livable planet. New York, Freeman. Web references: Glass on Web. (2003). http://www.glassonweb.com/articles/article/221/ National Renewable Energy Laboratory. (2000). http://www.eere.energy.gov/erec/factsheets/solrwatr.html Solarenergy.com. (1997 - 2001). http://www.solarenergy.com/ Sun Ovens International, Inc. (2003). http://www.sunoven.com/usa.asp

Compare and contrast the benefits of online and conventional classes Essay

It seems that technology is growing, improving and changing at an exponential rate. Technology now affects every part of our lives. One of the major areas that has been affected by technology is education. The advancement of technology has recently allowed for education to be completed in an online setting instead of in a conventional classroom setting. Both are great ways to receive an education. They both strive for the same purpose, which is to help students reach their goal during college or universities. Although online and conventional class are great, they do differ in some ways. Whether you choose to attend classes online or in a traditional physical setting, you will be assigned homework to complete. Both types of students typically have Internet access, so websites ad research materials are equally available for them to get information. Text books are still central to learning relevant information, so they are same both learners to make sure that there is no discrepancy in content. Online class also require to take course exam same as conventional class. Both types of learning rely on teacher, but they are different in the way students and teachers interacting with each other. Online students communicate with lecturers through e-mail while conventional classes offer more direct interaction with faculty. Students who thrive on the quick exchange of ideas between professor and students may find that they prefer the classroom environment than online class. On the other hand, students who experience anxiety when they are called on to speak during class or are an introverts can enjoy the time to reflect on their responses and questions offered by an online class. Online education and traditional education are different on their cost. Online schools are less expensive, partly because students do not have to pay for the facilities at school and added cost of daily expenses. They can study anywhere as long as they have computer or internet access. Read Also:  Topic for Compare and Contrast Essay However, the students who attend the school which implementing traditional education will spend much more money. So, if students want to enjoy the facilities at school such as gym, libraries, dining halls and residence halls to be part of their college experience, they may want to consider attending the brick-and-mortar school. Online courses typically allow students to work asynchronously, which means that they can complete their coursework at the time and place of their choosing. This is often ideal for working students or single parents who  need a flexible schedule. On the other hand, traditional classes might also be better for those who are not good with time management and self-discipline. It is more difficult to ignore a growing pile of reading assignments when class meets regularly to talk about them. Deadlines may be easier to remember and motivation may come naturally with daily in-class reminders, peer pressure and set a schedule. To sum up, there are several similarities and differences between online class and conventional class. The similarities are both of these schools have homework’s, let students to learn and get information, while the differences are they way students and teachers interacting with each other, cost and the time of studying. Regardless of the similarities and differences that bring many benefits for people, but the key is to pick the type of program that works the best for you, your lifestyle and your schedule.

A&P by John Updike Essay

The story A&P by John Updike is quite well-written. Despite the fact that the story itself does not have too much content, the author is able to keep the reader interested till the very last line. It’s a simple story and the main theme is the rejection of societal norms and restrictions. Sammy who works in the A&P store represents a teenager who takes an on-the-spot decision to stand up to his boss, disagree with his actions and move on with his life. This occurs when three girls in very skimpy clothes visit the store to buy snacks. Their skimpy attire offends the store manager Mr. Langley and he makes it a point to inform the girls that they should be dressed more appropriately next time they enter his store. â€Å"He comes over and says, â€Å"Girls this isn’t the beach† and when the girls react to his statement he says â€Å"I don’t want to argue with you. After this come in here with your shoulders covered. It’s our policy. † Basically, Langley is a conservative who did not like these girls indecently exposing their bodies. On the other hand, this is a free world and people like Mr. Langley have no right to impose their point of view on others. That is precisely why Sammy decided to quit his job even though he is aware that once he loses this job, his life will become more difficult, and his parents will be worried and angry and that there will be consequences of his action. â€Å"You’ll feel this for the rest of your life,† Lengel says and I know that’s true, too†. Nevertheless, he wants to prove his point and wants to stand up for what he believes and that is why he quits and moves on with his life. Overall, it’s a simple story but makes a valid point and is narrated in a very interesting manner. Some questions for others to think about: 1. Why did Sammy feel so strongly about Mr. Langley’s behavior? 2. Do you think Sammy did the right thing? 3. Do you think its right for teenagers today to behave indecently or do you think it’s the old generation which needs to change their attitude? Bibliography 1. Updike, John. (1993) A&P from Rubinstein and Larson’s Worlds of Fiction. Macmillan Coll Div.