Strategic Management and International Business at Starbucks Case Study - 46

Strategic Management and International Business at Starbucks - Case Study Example Starbucks should create winning strategies by coming up with a cohesive, energized and happy team, which will create a strong bond with the customers and ensure growth (Enz, 2010; Godin, 2006). It is undoubtedly that corporate success is not a guarantee and the probability of a firm having a long-term success heightens when strategic leaders continue to evaluate the appropriateness of the strategies developed as well as actions that are taken in an effort to implement them. It is obvious that the McDonald’s is a major competitive threat since its coffee drinks are meant to create value to the consumers by giving them high-quality experience at a lower price than that of Starbucks. Therefore, one of the ways in which Starbucks can ensure a competitive advantage is by developing a sound mechanism by which it can combine authority, relative value, and quality. It should have an ideal pricing strategy whereby consumers feel that they are getting a great deal for their money. It also needs to maintain strict and solid quality controls with regard to its coffee sourcing. Starbucks should also spend more time differentiating from its rivals and be up to date with the latest technology to outwit its competitors. It should also continue positioning itself as an authoritative figure, allowing premium prices where necessary. It should aim at improving on its brand and reputation by carrying out a survey on what the customers think of the corporation and ways it can improve (Hitt, Ireland & Hoskisson, 2010). The decision to fire Donald was appropriate considering that Starbucks was performing poorly against the Nasdaq index for the quarterly financials that preceded his ouster. During his reign, the coffee stock plummeted by 50%; hence, needed a leader who can drive changes such as encouraging international expansion and streamlining the management of the firm.  

Real Property Market Essay Example | Topics and Well Written Essays - 1500 words

Real Property Market - Essay Example The Centerpoint Properties in the Chicago area and AIG Global Red Estate Investment in New York was involved in an Atlanta development wherein a century-old steel mill covering more than 130 acres of prime downtown property was converted to mixed-use consisting of retail, office, and residential development. The US Environmental Protection Agency (EPA) has designated the project for its excellence in leadership program since it encourages pedestrian traffic to and from the various uses, and its proximity to mass transit will limit traffic congestion. (Rising, 2001) The third contribution of the real estate industry is its promotion of energy conservation. Residential and commercial buildings account for more than one-third of total U.S. energy consumption. Working with the Environmental Protection Agency and the US Department of Energy, these leaders developed a program that recognizes commercial buildings which meet strict energy and environmental criteria that place them in the top 25% of all comparable buildings. The first 100 buildings to earn the Federal government's Energy Star rating were awarded in 2000. The Federal Energy Star Building Label program has been successful. The program served as an incentive for companies to build or renovate as many Energy Star buildings as possible. Arden and Equity Office Properties have in their respective portfolios more than half the buildings that have earned Federal Energy Stars nationwide. By making energy-efficiency investments in their buildings, these and other companies have experienced impor tant energy savings that accrue to their tenants and make the overall buildings more valuable. The environmental advantages of building multi-unit residences lie in the opportunities to share spaces and functions. This form of sharing reduces one's footprint because it reduces one's overall consumption. For example, every family need not have its own exercise and laundry facilities. (Paehlke, 2004) Another benefit is the social advantages of living in a community with spaces and things in common. Great architectural design which respects that yearning for privacy is also capable of bringing community residents together in shared gardens and playgrounds. (Ratcliffe, 2001) Real estate developers focus on location as it has an impact on price, profit and value. Proximity to employment, schools, shopping and entertainment are important. Hence, the more people that live in proximity to essential services, the more compact and vital the city, and the greater the opportunity for sustainable behaviour such as public transit use. (Ball, et.al., 1998) When proximity is high, more people are can use the transit, walk and cycle. Jeffrey Kenworthy and Peter Newman (1998) showed that there is a direct and consistent correlation between the compactness of cities and the proportion of people deciding to use public transit. The European cities such as Paris, Munich and London which have overall employment and residential densities that are higher than Chicago and New York record double the transit use and half the automobile use. Their studies have shown that when proximity is high, automobile use is low. Compact urban design as in the High Park areas in Toronto or the West End in Vancouver makes sense, both economically and

Read a case Study Example | Topics and Well Written Essays - 750 words

Read a - Case Study Example The objective was to encourage as many people as possible to refer their friends and family such that they could have a significant number of free customers. They were hoping that since on average 20 percent of free customers turn premium, they could increase the potential customer base. The method was immensely successful in and in 2010; there was an increase 2.8 users who were referred by the 4 million paying customers. It is approximated that the Dropbox accounts each yielded a 12% referral rate, which was likely understated given the fact that many people target even non-acquaintances. In 2013, the company’s conversion from free to premise rose from 1.4 to 4%, which boosted the revenue to between $200 and $240 million dollars of annual income. The success rate was so high that other internet firms began to copy the freemium model as a way to get new clients without significant cost in their marketing budget. Another positive impact of the strategy was that it was copied by other firms outside the cloud storage business with the 100 top rating apps in Apple store using it in 2013. While there are no precise figures for how many of the firms using the technology were successful, there is no doubt that many of those that did have substantively grown their cu stomer base. In fact, the model was so successful that some firms like Spotify, an online radio channel had a conversion rate of 20%. There were nevertheless some disadvantage to this strategy; some of the companies that tried to model it ended up going bankrupt since the bulk of their clients did not convert to the premium service. In addition, given that Dropbox’s clients were mostly free, it means that much of their attention had to go to them while they may have been better off servicing the paying ones. Moving forward, it is hard to determine if the company can expect to make any more progress from the method since the firm is already a market giant and

Real Property Market Essay Example | Topics and Well Written Essays - 1500 words

Real Property Market - Essay Example The Centerpoint Properties in the Chicago area and AIG Global Red Estate Investment in New York was involved in an Atlanta development wherein a century-old steel mill covering more than 130 acres of prime downtown property was converted to mixed-use consisting of retail, office, and residential development. The US Environmental Protection Agency (EPA) has designated the project for its excellence in leadership program since it encourages pedestrian traffic to and from the various uses, and its proximity to mass transit will limit traffic congestion. (Rising, 2001) The third contribution of the real estate industry is its promotion of energy conservation. Residential and commercial buildings account for more than one-third of total U.S. energy consumption. Working with the Environmental Protection Agency and the US Department of Energy, these leaders developed a program that recognizes commercial buildings which meet strict energy and environmental criteria that place them in the top 25% of all comparable buildings. The first 100 buildings to earn the Federal government's Energy Star rating were awarded in 2000. The Federal Energy Star Building Label program has been successful. The program served as an incentive for companies to build or renovate as many Energy Star buildings as possible. Arden and Equity Office Properties have in their respective portfolios more than half the buildings that have earned Federal Energy Stars nationwide. By making energy-efficiency investments in their buildings, these and other companies have experienced impor tant energy savings that accrue to their tenants and make the overall buildings more valuable. The environmental advantages of building multi-unit residences lie in the opportunities to share spaces and functions. This form of sharing reduces one's footprint because it reduces one's overall consumption. For example, every family need not have its own exercise and laundry facilities. (Paehlke, 2004) Another benefit is the social advantages of living in a community with spaces and things in common. Great architectural design which respects that yearning for privacy is also capable of bringing community residents together in shared gardens and playgrounds. (Ratcliffe, 2001) Real estate developers focus on location as it has an impact on price, profit and value. Proximity to employment, schools, shopping and entertainment are important. Hence, the more people that live in proximity to essential services, the more compact and vital the city, and the greater the opportunity for sustainable behaviour such as public transit use. (Ball, et.al., 1998) When proximity is high, more people are can use the transit, walk and cycle. Jeffrey Kenworthy and Peter Newman (1998) showed that there is a direct and consistent correlation between the compactness of cities and the proportion of people deciding to use public transit. The European cities such as Paris, Munich and London which have overall employment and residential densities that are higher than Chicago and New York record double the transit use and half the automobile use. Their studies have shown that when proximity is high, automobile use is low. Compact urban design as in the High Park areas in Toronto or the West End in Vancouver makes sense, both economically and

Global running and competitive status study of Shire plc 187 Essay

Global running and competitive status study of Shire plc 187 - Essay Example With around 15 brands operating under the umbrella of Shire Plc the company has not only enhanced their market place but also diversified their business operations (Shire, 2014). Recently Biopharmaceuticals Company AbbVie opted for taking over Shire Plc and after numerous reconsiderations and deals between both the organisations the deal was called off. The initial offer of AbbVie was  £27.3 billion which was then increased to $54.8 billion (Bennett and Chen, 2014). However, given the changes in the US Tax Inversion process, AbbVie backed out of the merger process for which they will have to pay a total of $1.6 billion to Shire Plc as breakup fee. Following this change in their strategic activities, Shire Plc experienced a steep fall of 27% in their share prices (Yahoo Finance, 2014). The target market of Shire Plc is patients suffering from behavioural health, gastrointestinal problems and other rare diseases (Shire, 2014). Shire Plc has also developed a good brand value in the market of regenerative medicines. The target markets selected by Shire Plc hold some of the largest consumer segments in the healthcare and pharmaceutical industry (Angell, 2004). One of the core competencies of the company is the diversity in their customer offerings. The interesting fact about the management process of Shire Plc is that all their business success has primarily come from their mergers, acquisitions and alliances (Market Line, 2014). The ability to integrate the various cultures with the organisational mission and vision has gained them a unique competitive advantage that provides both cost and differentiation advantages over their competitors. However, Shire Plc is still largely dependent on their Attention Deficit Hyperactivity Disorder (ADHD) drugs for generating market revenue while other categories such as medicines related to Gastrointestinal or Hereditary Angioedema are still not able to

Major Intended for The Future Essay Example for Free

Major Intended for The Future Essay The past year and eartly months of 2009 had put the world in a bind. The Financial recession had been experienced all over the world. America had seen this through the collapse of real estate market which had caused bonds problems. The bank and the government of America had been trying to create appropriate solutions but unfortunately it has been unsuccessful. In effect, lots of companies had been affected. Alarming news had been heard last September 14, 2008. Lehman Brothers had announced their bankruptcy. As we all know, the company had existed in America for 158 years. This is considered to be one of the biggest banks in the country. How did these things happen? It is all related to the economy of the country and this is where my intended major comes in. I chose Economics as my major to further understand why things like this happen. Being an economist had been a dream when I was in my ninth grade. I like to study economics because this could help me know more about society, and it would also help in enhancing my analysis skills for the future. For me, the economics controls society. When the economy rises, the customers’ purchasing power also increases. Hand in hand with this, when economy goes down, consumers’ purchasing power goes down as well. This only shows that the economy dictates what the society can afford to lose. It becomes the center of the society’s purchasing power. In effect, to know society, one must understand how the economy is. The study of economics also helps improve one’s thinking. The economy changes every now and then. In conclusion, the study of economics requires heavy analysis. During these times of financial crisis, economists need to find methods on how to change society’s state of play. As I’ve narrated awhile ago, the real estate market is going down. The economists and government must find different policies to reduce the property problem. By being one of the economists, it would greatly provide help in society by creating solutions to the problem that is being faced. Through studying Economics, there are lots of options for the future. It would greatly give big job opportunities for anyone who would study it. An Economics graduate could become involved in Investment of Assets, Marketing, Managing and Financing. As a conclusion, by choosing Economics as a major it would help me understand society, enhance my analysis skills and give me good opportunities for the future. I had volunteered in a disaster exercise and I found it quite refreshingly fun. There were around twenty people who joined the event. I was given the character of a pregnant lady in a disaster. I played the part where I must get in the ambulance and the staff inside the ambulance would ask me for information about how I was feeling. I told the staff that I am pregnant. They then asked how long was I pregnant. I replied about thirty six months. The reply that I got from them was â€Å"That’s why you need to go to the hospital. The scene was supposed to be dramatic but it turned out to be a very funny one. We kept on laughing on the ambulance. It had become a very wonderful experience. This activity had taught me how to face disaster. It gave me insights that a person must keep calm and tell the person assisting you the things that had happened clearly. If one panics, nothing can be solved. No one would be able to help. This can also be applied to what is happening now. The government and the economists must stay calm and think things through before doing anything to solve the problem of financial crisis.

Dentitic Cell and Immune Networks Algorithm Comparison

Dentitic Cell and Immune Networks Algorithm Comparison A Comparative study of Dentitic cell and immune networks algorithm for Artificial immune networks. Jaspreet kaur, Kamal Kumar Abstract – Artificial immune systems are the systems used for advanced computational systems for the need of robust and secure functioning of computer systems. They are the systems inspired by the human immune systems in the human immunity save the body from external threats. We in this paper would be working on the networking branch of the AIS which is called Artificial immune networks which builds up an immunity in the network against the attacks. The accuracy, time analysis and a few other parameters are to be studied using two algorithms of Artificial immune networks. The two algorithms which we are taking in action will be immune networks algorithm and Dentritic cell algorithm. 1 INTRODUCTION An immune system, one of the most intricate biological sys-tems, has been used as a metaphor for intelligent computation in a variety of domains. Artificial Immune System (AIS) has been considered as a family of techniques originated from the community of immunology. As an important constituent of the AIS, the artificial immune networks are based on the principles of the behaviors of both B cells and T cells in the biological immune system. B cell is an integral part of the immune system. Through a process of recognition and stimulation, the B cells can clone and mutate to produce a diverse set of antibodies in an attempt to remove the infection from the body. T cell has two types. One regulates and con-trols the strength of the immune response, and the other di-rectly destroys the cells that have specific antigens. Both the B cells and T cells have been widely employed to solve a wide range of engineering problems, such as anomaly detection and data mining. This paper aims at giving a concise overview on the artificial immune network models including their theory, structures, and applications. Functions, principles and models, which can be applied to real world problems. According to the mechanis of DCs, the Dendritic cell Algorithm (DCA) has been put forward by Greensmith and successfully applied to a range of problems, particularly in the area of anomaly detection Compared with the classical AIS algorithms , the DCA has advantages of small calculations, strong recognition ability and few training samples, but it also hasthe defect that it will have promising detection accuracy onlyin ordered data sets, with the increasing of the disorder degree in data sets, the accuracy will reduce and the false positives and the false negatives will increase obviously. Experiments show that except some noise data most of the mistakes occur during the transition phases, this is because during a transition phase there is a small degree of confusion regarding temporally and spatially clustered antigens and DC may sample multiple antigens in different types of context. The Dendritic Cell Algorithm (DCA) is a second generation Artificial Immune System (AIS) algorithm. It is based on an abstract model of the function of dendritic cells and their ability to discriminate between healthy and infected tissue . As a context-aware anomaly detection algorithm, the DCA performs well in malware detection. Current research with this algorithm have suggested that the DCA shows not only excellent performance on detection rate, but also promise in assisting in reducing the number of false positive errors shown with similar systems. However, as the defenses evolve, so does the malware. The DCA distinguishes between normal and potentially malicious antigens on the basis of the concentration of danger signals they cause and neighboring antigens. This feature cabe exploited by crafty malware via mimicry attacks (such as blending with normal activities or mimicking normal behavior) to evade detection by the DCA . For example, some stealthy malware communicate with remote servers only when they detect user activities (such as requesting web pages). This reduces both the frequency and significance of malicious behavior, making the malware less active and more likely to avoid detection by the DCA. In , Gu et al. proposed an improvement for the DCA namely antigen multiplier to overcome the problem of ‘antigen deficiency’. As an additional function of the DCA, antigen multiplier can make several copies of each individual antigen which can be fed to multiple dendritic cells (DCs). Then the classification deci sion is averaged over the replicated population. The experimental results showed that antigen multiplier helped in improving the classification accuracy. But, as antigen multiplier copies every antigen it meets indifferently, it may show less resistance to mimicry attacks since the concentration of potentially malicious antigens is not increased. Similar to the inefficient detection to hidden and inactive malware by the DCA, biological immune system (BIS) also shows inefficiency when responds to some antigens. 2 LITERATURE REVIEW In this research paper [1] the author has analysed the immune theory and hopfied neural network (HNN), them proposing a new algorithm for multidimensional functionality. A group of solutions are collected for analyses using k means algorithm. Then later on the cluster is taken which is cluster centurions by k means algorithm. In this paper, by making use of the advantages of clustering analysis algorithm, HNN and ia, a new algorithm is proposed to solve the optimal problems of multimodal function with high dimensions. Simulation experiment proves that the new algorithm has much higher accuracy and shorter running time, compared with ia. Especially, at high dimensional function, the new algorithm has clearly advantage. In this paper[2], a novel multi-modal optimization algorithm, namely Dcopt-aiNet is proposed, which is based on biological immune network mechanism for global numerical optimization. Different from de Castro’s opt-aiNet algorithm, Dcopt-aiNet models cloning operation using dynamic cloning operation which is adopted from biological immune network mechanism. Based on the multi-modal benchmarks, experiments were carried out to compare the performance of Dcopt-aiNet with that of opt-aiNet. Experiment results show that when compared with the opt-aiNet method, the new algorithm is capable of improving search performance significantly in successful rate and convergence speed. In this paper [3] the author has proposed the the use of DCA for malwre detection. Artificial adjuvants increase immunogenicity of stealthy malware which speeds up the immunigenicity of them. This is how they improve the malware detection with help of DCA. Future work proposed in this paper is that the experiments need to evaluate their effects on enhancing the detection performance of dca. Further we need to better understand the mechanisms of immunological adjuvants can be beneficial to design more biologically. Lastly to make more diverse and more general algorithms. In this research paper[4] the algorithm is posed to only good in ordered data set but the results in the other cases are not considered to be great. In instances of different antigens, each instance is accesed and finally all the asessments made are taken into account. Proposed algorithm i.e. Mmdca brings up the nature of each multiplier and also it can be inferred that the false positives is higher, this is because the dca weights matrix used to calculate the semi and mat tends to mat. With the intrinsic properties of multimodal optimization problems, a multi-population artificial immune network algorithm (mopt-aiNet) is proposed to improve the performance of static and time-varing multimodal optimization problems by making use of biologic immune mechanism in this paper[5]. Compared with other immune network search methods, several novel operations such as multi-population dynamic hypermutation, asynchronous colony evolution, dynamic memory solutions management and a hill-valley exploring are designed which can speed up  searching the environment in an optimal way. Two other immune network algorithms are compared against mopt-aiNet by using static and dynamic benchmarks. Comparative analysis illustrates mopt-aiNet’s potential value. A bi-objective optimization model of power and power changes generated by a wind turbine is discussed in this paper[6]. The model involves two objectives, power maximization and power ramp rate (PRR) minimization. A new constraint for power maximization based on physics and process control theory is introduced. Data-mining algorithms were used to identify the model of power generation from the industrial data collected at a wind farm. The models and constraints derived from the data were integrated to optimize the power itself and the power variability, expressed as the power ramp rate. Due to the nonlinearity and complexity of the optimization model, an artificial immune network algorithm was used to solve it. The optimization results, such as computed operation strategies and the corresponding outputs, are demonstrated and discussed. In this paper [7] , the problem of finding the optimal collision free path, path planning for the case of a controllable mobile robot moving in a static environment filled with obstacles with known shape and size is studied. A path planner based on a hybrid memetic algorithm, Genetic Artificial Immune Network (GAIN), which provides near optimal collision free path is proposed. Genetic Artificial Immune Network is a hybrid memetic algorithm based on Genetic Algorithm (GA) and Artificial Immune Network (AIN) algorithm. The network cell structures are simple which makes the operators simple and results in a fast calculation with smaller number of cells. The results obtained from GAIN is compared with that of GA and GAIN is found to outperform. GA in terms of convergence speed and result obtained, making it a promising algorithm for solving the mobile robot path planning problem. 3 PROBLEM FORMULATION Adaptive immunity is directed towards specific invaders; either seen before or not previously encountered and gets modified by exposure to invaders. It mainly consists of lymphocytes (white blood cells, more specifically B and T type) that aid the process of recognizing and destroying specific substances, and are antigen-specific. Clonal Selection: Clonal selection theory was proposed by Burnet. The theory is used to explain basic response of adaptive immune system to antigenic stimulus. It establishes the idea that only those cells capable of recognizing an antigen will proliferate while other cells are selected against. Clonal selection operates on both B and T cells. B cells, when their antibodies bind with an antigen, are activated and differentiated into plasma or memory cells. Prior to this process, clones of B cells are produced and undergo somatic hyper mutation. As a result, diversity is introduced into the B cell population. Plasma cells produce antigen-specific antibodies that are work against antigen. Memory cells remain with the host and promote a rapid secondary response. Negative Selection :Negative selection is a mechanism to protect body against self-reactive lymphocytes. It utilizes the immune systems ability to detect unknown antigens while not reacting to the self cells. During the generation of T-cells, receptors are made through a pseudo-random genetic rearrangement process. Then, they undergo a censoring process in the thymus, called the negative selection. In this process, T-cells that react against self-proteins are destroyed and only those that do not bind to self-proteins are allowed to leave the thymus. These matured T-cells then circulate throughout the body performing immunological functions and protecting the body against foreign antigens. 4 OBJECTIVES 1. To study intuitively and understand the working of dentritic cell and immune networks technique in artificial immune systems. 2. To analyse the two above mentioned techniques on the basis of the following parameters:- A. Accuracy B. Response time C. Fittest cell level D. Immune memory strength. 3. Mathematical and graphical comparison between dentritic cell and immune networks. 5 RESEARCH METHODOLOGY ALGORITHM DESIGN ( Dentritic Cell ) Its principle is taken up from the original dentritic cell mechanism in the human body with which our human immune system works. It generally takes advantage of the remembering power of our body in which if our body if exposed to a certain infection remembers it prevents it from harming us in at least near future, it also may cause permanent prevention. ALGORITHM DESIGN ( Immune Networks ) Its principle is taken up from the immune network mechanism which does not have fixed idea for prevention of particular disease in all senses. It undoubted takes up a more robust way of finding the right vaccine or the attack example for actual prevention. 6 RESULTS AND CONCLUSION Bar graph for less no of attacks Bar for all attacks Plot for less no. of attacks. Plot for all attacks. POINTS OF CONCLUSION The accuracy varies with no. of attacks. More the no. of attacks in DCT more is the accuracy. Accuracy in INT is not dependent on no. of attacks. Though the accuracy of the DCT is more but the response time of INT takes lead on DCT. In terms of response time INT is much better than DCT. DCT has time consuming behavior because of all internal processes which take place in it like updating memory cells and informing t cell etc. Memory strength of DCT improves with no. of attacks and it is status quo in INT. Fittest cell level show only local behavior of a part of the system having most immunity. In short term goals INT is preferable because its less time consuming and can act quick. Also its cheaper as no internal processes prevail. In long term goals DCT is preferred because of its stability. We need to have a really fast system to implement DCT because of its time consumption DCT is a central system because t cells keep record of all previous attacks and which is accessible to every part or ip in the network which makes DCT a central system. 7 REFERENCES [1] Ruiying Zhou, Qiuhong Fan, Mingjun Wei, â€Å"Solving for Multimodal Function with High Dimensions Base on Hopfield Neural Network and Immune Algorithm†, IEEE 2011 International Conference on Electronic Mechanical Engineering and Information Technology, Print ISBN- 978-1-61284-008-8, pp.3905-3908, 12-14 August 2011. [2] Shi Xu-hua, Zhu Yu-guang, â€Å"Dynamic Cloning based immune network Algorithm for multi-modal Optimization†, IEEE, Seventh International Conference on Natural Computation, 2011, Print ISBN- 978-1-4244-9953-3, pp.522-525. [3] Jun Fu, Huan Yang, â€Å"Introducing Adjuvants to Dendritic Cell Algorithm for Stealthy Malware Detection†, IEEE, Fifth International Symposium on Computational Intelligence and Design, 2012, Print ISBN- 978-0-7695-4811-1, DOI-10.1109/ISCID.2012.156, pp.18-22 [4] Song Yuan, Qi-juan Chen, â€Å"Dendritic Cell Algorithm for Anomaly Detection in Unordered Data Set†, 4th International Conference on Intelligent Human-Machine Systems and Cybernetics, 2012, Print ISBN- 978-0-7695-4721-3, DOI-10.1109/IHMSC.2012.69, pp.249-252 [5] Shi Xuhua, Qian Fenq, â€Å"An Optimization Algorithm Based on Multi-population Artificial Immune Network†, IEEE, Fifth International Conference on Natural Computation, 2009, Print ISBN- 978-0-7695-3736-8, DOI-10.1109/ICNC.2009.574, pp.379-383 [6] Andrew Kusiak, Zijun Zhang, â€Å"Optimization of Power and its Variability with an Artificial Immune Network Algorithm†, IEEE, Print ISBN- 978-1-61284-788-7 [7] Antariksha Bhaduri, â€Å"A Mobile Robot Path Planning Using Genetic Artificial Immune Network Algorithm†, IEEE, World Congress on Nature and Biologically Inspired Computing, 2009, Print ISBN- 978-1-4244-5612-3, pp.1536-1539 [8] Yong Sun, Weigou Zhang, Meng Zhang, Dan Li, â€Å"Design on Neural Network Gain Scheduling Flight Control Law using a Modified PSO Algorithm based on Immune Clone Principle†, IEEE, Second International Conference on Intelligent Computation Technology and Automation, 2009, Print ISBN- 978-0-7695-3804-4, DOI-10.1109/ICICTA.2009.70, pp.259-263 [9] Chung-Ming Ou, C.R. Ou, â€Å"Immunity Inspired Host-Based Intrusion Detection Systems†, IEEE, Fifth International Conference on Genetic and Evolutionary Computing, 2011, Print ISBN- 978-0-7695-4449-6, DOI-10.1109/ICGEC.2011.70, pp.283-286 [10] Maizura Mokhtar, Ran Bi, Jon Timmis, Andy M. Tyrrell, â€Å"A Modified Dendritic Cell Algorithm for On-line Error Detection in Robotic Systems†, IEEE, Congress on Evolutionary Computation, 2009, Print ISBN- 978-1-4244-2959-2, pp.2055-2062 [11] Yunfeng Zhao, Yixin Yin, Dongmei Fu, Zhun Zhou, Ping Yin, Jia Wang, â€Å"Application of Improved Artificial Immune Network Algorithm to Optimization†, IEEE, 2008, Print ISBN- 978-1-4244-2386-6. [12] Zhonghua Li, Jianming Li, Jieyeing Zhou, â€Å"An improved artificial immune network for multimodal function optimization†, IEEE, The 26th Chinese Control and Decision Conference, 2014, Print ISBN- 978-1-4799-3707-3, DOI-10.1109/CCDC.2014.6852268, pp.766-771, May 31st – June 2nd 2014.