Socrates And Crito Essays - Socratic Dialogues, Dialogues Of Plato

Socrates And Crito The dialogue Crito, by Plato, recounts the last days of Socrates, immediately before his execution was going to take place in Athens. In the dialogue, Socrates' friend, Crito, proposes that Socrates escape from prison. Socrates considers this proposal, trying to decide if escaping would be "just" and"morally justified." Eventually, Socrates concludes that the act is considered "unjust" and "morally unjustified." Socrates decides to accept his death penalty and execution. Socrates was a man who would pursuit truth in all matters (Kemerling 1999). In his refusal to accept exile from Athens or a commitment to silence as a penalty, he takes the penalty of death and is thrown into prison. While Socrates is awaiting his execution, many of his friends, including Crito, arrive with a foolproof plan for his escape from Athens to live in exile voluntarily. Socrates calmly debates with each friend over the moral value and justification of such an act. "...people who do not know you and me will believe that I might have saved you if I had been willing to give money, but that I did not care." -Crito (Plato 569) Crito believed that by helping Socrates to escape, he could go on to fulfill his personal obligations. Also, if Socrates does not follow the plan, many people would assume that his friends did not care about him enough to help him escape or that his friends are not willing to give their time or money in order to help him. Therefore, Crito goes on to argue that Socrates ought to escape from the prison. After listening to Crito's arguments, Socrates dismisses them as irrelevant to a decision about what action is truly right. "Now you, Crito, are not going to die to-morrow-...-and therefore you are disinterested and not liable to be deceived by the circumstances in which you are placed." -Socrates (Plato 571) In the arguments that Socrates makes, what other people think does not matter. The only opinions that should matter are the ones of the individuals that truly know. "The truth alone deserves to be the basis for decisions about human action, so the only proper approach is to engage in the sort of careful moral reasoning by means of which one may hope to reveal it" (Kemerling 1999). According to Socrates, the only opinion that he is willing to consider would be that of the state. "...if you go forth, returning evil for evil, and injury for injury,...we shall be angry with you while you live, and our brethren, the laws in the world below, will receive you as an enemy; for they will know you have done your best to destroy us." -Socrates (Plato 577) Socrates' argument moves from one of a general moral decision to the morality of his specific case. He basically says: -One ought never to do wrong, -But it is always wrong to disobey the state, -Therefore, one ought never to disobey the state (Kemerling 1999) Since avoiding the sentence handed down by the jury would be disobeying the state, Socrates decides not to escape. Socrates chose to honor his commitment to truth and morality, even though it cost him his life. One of the main arguments made by Socrates, "Think not of life and children first, and of justice afterwards, but of justice first...For neither will you nor any that belong to you be happier or holier or juster in this life, or happier in another, if you do as Crito bids." -Socrates (Plato 577), is one of the most important and crucial in the Crito dialogue. Socrates provides a very convincing argument of why he should not escape from the Athenian prison. He states that if he does as Crito suggests and escapes, it will not be justifiable nor true. Although his family and friends will be much happier if he escapes, he will not follow the justice or moral code of the state in which he was born and raised. Socrates also gives the idea that if he were to escape, his family and friends would be happy for him, but their fellow citizens and their state in which they reside would not. The government and citizens of the state may take their frustration of this injustice out on the friends and family of Socrates. In this argument, Socrates believes that the state would say, "think not of life and children first, and of justice afterwards"(Plato 566). He says this as a counter-argument to statement made by Crito saying that he should think of the children that he

The Ice Age Essays - Pleistocene, Mammoth, Permafrost, Tundra

The Ice Age Essays - Pleistocene, Mammoth, Permafrost, Tundra The Ice Age Twenty thousand years ago during the time of the last ice age period, many colossal mammals roamed North America. They survived during the times when much of the earth was covered by immense large bodies of ice that buried forests, fields, and mountains, but rapidly became extinct after the ice began to retreat and melt. Since then the human race has introduced many different theories to explain the extinction of these large mammals. One theory stands above all and explains the truth of this mysterious disappearance. The Paleo Indians that entered North America from Asia, the climate change, soil, vegetation and water levels were all major factors in this extinction. The results of these factors left the biggest impact on the food chain of these animals. The domino-effect of all these factors is responsible for the extinction of the ice age mammals. Animals, like all other living organisms have a tendency to adapt to the environment in which they live. A cold climate favors large animals, since large animals have more body fat and lose heat at a slower rate then do smaller animals. That is why many of the mammals that lived during the ice age were enormous. These large animals consisted of ground sloths and armadillos which came northward from South America, and horses, saber-toothed cats, mammoths, antelopes, and muskoxen that crossed over the land bridge from Asia into North America. For the longest time fossils from many parts of North America were the only evidence that many of these large beasts had once roamed the land, but in the spring of 1846 an unbelievable event happened that brought the world a step closer to the mystery of this great extinction. A Russian explorer Benkendorf and his survey team from Russia were heading for the mouth of the Indigirka River in Siberia. When they reached the spot of their destination, the land had disappeared and everything had changed. Left behind was two miles wide of torn up land, and wild waters carrying rapidly masses of peat and loam. In the mixture of the mess they seemed to notice what was once one of the mammoths who roamed the earth during the ice ages. (Chorlton 53) Our patience was tried. At last, however, a huge black horrible mass bobbed up out of the water. We beheld a colossal elephants head, armed with mighty tusks, its long trunk waving uncannily in the water, as though seeking something it had lost. Breathless with astonishment, I beheld the monster hardly 12 feet away, with the white of his half-open eyes showing. 'A mammoth! A mammoth!' someone shouted. (Chorlton 54) An elephant with a body covered with thick fur about thirteen feet in height and fifteen in length with tusks eight feet long that curved outward at the end. It had a trunk six feet long and colossal legs one and a half feet thick. The beast was fat and well grown. The outer hair was like wool, very soft, warm and thick, it was definitely well protected from the cold.(Chorlton 54) Unfortunately the mammoth soon began to decay and was swept away by the rapid waters. This dramatic find brought the world face to face with one of the great mysteries of the ice age, the sudden extinction of the great colossal mammals. These large mammals at one time lived in peace and survived gracefully for thousands of years, they adapted to the cold climate and tundra surrounding them. With an adequate food chain and nothing to affect it they were bound to survive forever, but because of simple changes that eventually triggered many other factors these animals are extinct and will never be on this earth again. When the massive continental glaciers locked up great quantities of water, the sea levels lowered which exposed parts of the shallow sea floor, therefore, the Bering Strait did not exist. Eleven thousand, years ago many Paleo Indians were able to cross the land bridge between Asia and North American which enabled them to populate North America. The great amount of large animals attracted these people to the frozen waste lands. In all hunting that ends with the extermination of a species, the motivation is never hunger. Money, and the greed for it, have been the incentive. The savage does not know these, he hunts to eat and so is unable to decimate the big game to any important extent (Cornwall 117) The large mammals of North American were never exposed

Difference Between American Football and Soccer Essay

Difference Between American Football and Soccer - Essay Example This essay attempts to outline the various differences that are demonstrated by soccer and football as major sports in the world. Firstly, the researcher discusses that there are several distinctions that exist between soccer and football. It is stated that though both sports involve eleven players in each team during the match, certain differences like time limit, object used in the game and substitutions made during a match are critical to differentiate the two sports. While one sport is popular in some parts of the globe, the other one is popular in large part of the globe. There are many fans and supporters of both the American football and soccer in the world but supporters differ on basis of their geographical locations. American football is more popular in America and mostly in the United States and Canada while soccer has many fans living in US and other parts of the world. Many soccer fans follow European, Asian and American soccer leagues and world cup is one of the most ca ptivating and fascinating events for soccer fans. However, Super Bowl serves as one of the most attractive league in the world too especially for American football fans. In conclusion, football and soccer attracts a lot of fans around the globe. The two sports are captivating and attract huge crowds in stadiums while others watch them through TVs. The researcher also concluds that these two sports have several differences such time limitations, objects used, and techniques as well as methods of play.

Optical systems Essay Example | Topics and Well Written Essays - 1750 words - 1

Optical systems - Essay Example These layers make them resistant to electrical and mechanical interferences. The refractive index feature makes plastic optics fibre multimode. The predecessor glass fibre come in single mode of step index or graded index profile. An illustrated diagram on how the two types guide the light is shown in appendix A figure 2. Three different light waves travel through the fiber. While the first one passes straight through the center of the core, the second mode passes at a steep angle and bounces back through the concept of total internal reflection. The third mode surpasses the critical angle, refracting into the cladding (www.fiberoptics4sale.com). The second mode is able to cover more distance than the first mode. These rays travel through a different paths, they thereby have different modes taking different time to reach. The variation so visible is termed as the dispersion, ultimately giving muddied signal at the receiving node. The output pulse varied against the input pulse. Increased index of refraction in the centre of the core leads to slowing down of the speed of some light rays, resulting in the rays to reach the receiving end at nearly about the same time, ultimately minimizing the dispersion and increase in the bandwidth (www.fiberoptics4sale.com).. Fibres work on concept of propagation of light, the light in a fiber-optic cable passes through the core of the fibre. At that time, if there are bends, it will result in reflection across the cladding .This concept is termed as total internal reflection. The part of light that skips through changes the direction on entering the outer layer due to refraction. Refraction occurs due to varying speeds and varying different refractive index (Wiley J,Ungear S (1990). Total internal reflection occurs (see appendix A figure 4 )when light passing through one material gets intact with a different

Taste Trends of the Coffee Industry Essay Example | Topics and Well Written Essays - 2500 words

Taste Trends of the Coffee Industry - Essay Example Resource based view to management asserts that the management must prioritize the effective management of both tangible and intangible assets at the firm thereby optimizing productivity. The production of agricultural products is seasonal a feature that influences the patterns of both the supply and demand of such products including coffee. Such factors present marketers with numerous operational challenges as they seek to develop competitive brands in such markets. Among the leading coffee markets in the world are Brazil, Philippines, India and Europe. The availability of the products in the market especially during particular seasons results in increased supply of the product thereby resulting in reduction of the prices of the product. Introducing a new product in such a market therefore requires effective analysis of the industry with the view of understanding the intricate feature of the industry. Marketing is a function of the management mandated with the establishing, anticipating and satisfying customer demands. Marketers of coffee brands thus face myriad challenges arising from the structure of the market. Key among the challenges is competition. As one of the oldest industries in the world, the industry attracted numerous entrepreneurs who specialize in similar functions thereby competing for the same markets in South America, Europe and parts of Asia. Competition influences the demand and supply thereby influencing the productivity of the industry as the numerous players target the same market. The players must therefore develop effective strategies in order to position their products effectively thereby safeguarding their profitability. While the size of the market has remained constant throughout, the supply changes depending on the prevailing factors thereby influencing the number of marketers who operate in the industry.

Development of a Human Computer Interface

Development of a Human Computer Interface Abstract HCI(human computer interaction) has become one of the important aspect in human life. Signals generated from human body are biosignals and has huge potential to be used as an interface for human computer devices. Multiple devices are present that recognizes these boiosignals which is generated during muscle contraction and converting those signals into some command to be used as an input to the HCI devices. However, the task can be acquired through biosignals which forms a neural linkage with the computer techniques like Electro-Encephalogram(EEG), Electrooculogram(EOG), and Electromyogram(EMG). In past, there have been lots of studies wherein many researchers have used biosignals to control other device. EMG is hence, one of the least explored mechanism form of biosignal to be deployed in HCI and its studies are useful for neuromuscular system as certain diseases may slow down muscle contraction and muscle firing leading to paralysis of muscle. Keywords: EMG, HCI, biosignals, skeletal muscles, neural linkage. 1 Introduction HCI is the one of the research area that emerged in early 1980s, which has expanded rapidly it was previously known as a man- machine interaction. HCI focuses on the interface between user and the computer and deals with the design, execution and assessment of computer system and other related receptive that are for human use. Designing interactive computer systems to be effective, efficient, easy and enjoyable to use is important, so that people and society may realize the benefits of computation based devices [1]. The researchers observes the way human interacts with the computer system and design new technologies and interface that lets human and computers to interaction novel ways [2]. Some of the example of popular HCI techniques are image processing, speech recognition, bio signal processing etc. HCIs goal is to minimize the differences between the humans goal of what they want to achieve and the understanding level of computer to perform the task. It relates knowledge from bot h the human and machine side. Due to its multidisciplinary nature, people with different study areas contribute to its success. Figure 1 shows the areas where HCI can be implemented with distinctive importance. Fig.1. Disciplines contribute to HCI [3] EMG is an electro medical procedure for estimating and recording the electrical signals produced by skeletal muscle. EMG is performed using electromyography, to produce an electrical record or signal called electromyogram [4]. An electromyography detects the electric potential generated by skeletal muscle cells when these cells are activated electrically or neurologically. The EMG technology helps capture gestures as inputs for virtual joysticks, keyboards leading to new application in mobile computing etc [5]. This signal can also be analyzed to detect medical abnormalities, activation level, or biomechanics of human movement. The motor neurons of a human body transmit electrical signals that causes muscle to contract and an EMG translate this signals to graphs, sound or numerical values that can be interpreted by analyst. EMGs signal can be easily acquired using electrodes and it is of two types, dry electrode that is direct contact with the skin that records muscles activity from the surface above the muscle on the skin and require more than one electrode, because EMG recording displays the electric potential difference between two separate electrodes, second is gel or inserted EMG which can be performed using a electrolytic gel as a chemical interface between the skin and electrolyte [6]. A needle electrode and fine wire electrode is the example of inserted electrode. Needle electrode is used in clinical areas and the tip of the electrode is bare and used for the surface detection. Fine wire electrode they are easily implanted in and withdrawn from the skeletal muscles, and is less painful then needle electrode. Thus EMG has a variety of clinical and biomedical applications where it is used to diagnose neuromuscular disease and many other disorders of motor control. 2EMG Used for HCI Studies are being carried out for the use of EMG signals inorder to identify disabilities as a significant number of individuals are suffering from severe motor disabilities, due to variety of causes, such as Spinal Cord Injury (SCI), Amythorphic Lateral Sclerosis (ALS) and so on [7]. Therefore, EMG signal are not only used for identifying neuromuscular disorder but can also be as a control signals for prosthetic devices [8]. It is the least explored compared to others biosignals like EEG, EOG etc. EMGs are natural means of HCI because the electrical signals induced by human muscle movement during its contraction represents nueromuscular movement that can be interpreted and transformed into computers control command. EMG signals can be used for a number of applications including clinical applications, HCI and interactive computer gaming. Basically EMG can be used to sense isometric muscular activity which does not transalate into movement thus making it possible to classify subtle mo tionless gestures and to control interfaces without being noticed and without disrupting the surrounding environment [9]. The EMG signal have different signatures i.e, two peoples gesture might be identical but their characteristics EMG signals are different interms of their age, muscle development skin fat layer and gesture style. One of the problem of EMG is its signal contains a different type of noise that are caused by equipment noise, electromagnetic radiation etc and hence preprossing is needed to filter out the unwanted noise in EMG signal. 3Related works Researchers have worked on regarding how EMG signal is used to command some other devices like prosthetic arm, robots or enabling people with certain disabilities. These are shown in following paper. In 1996 Yasuharu Koike et.al, [10] developed a human interface employing a model of an arm, robot control of an artificial hand, and the learning of motion capability. The aim of this paper was to construct a complete forward dynamics model of the human arm by using Artificial Neural Network (ANN). The model has the ability to learn physiological recordings of EMG signals for simultaneous measurement of movement. In 2000 Alsayegh et.al, [11] proposed an EMG based signal where EMG signal is limited to three arm muscles (medial Deltoid) MD, (anterior deltoid) AB, (biceps brachii) BB that was able to recognize 12 arm gestures. The processing of EMG signal is based on arm gestures having unique temporal coordination. The classification technique used is context dependent classification within the framework of Bayes theorem. Not only the unique arm gesture by using EMG signal was developed there were various researchers working in the field of EMG for the people suffering with motor disabilities like hand paralysis, leg paralysis etc. In 2004 Jong sung kim et.al, [12] proposed a natural means of human computer interaction induced by human arms muscle movement and the generated EMG signal to be used as computer commands control. The paper developed an online EMG MOUSE system that controls movement of the cursor, which are interpretation of 6 pre-defined motions, up, down, left, right, click and rest. A Fuzzy Min Max Neural Network (FMMNN) is used as a classifier. In 2005 Inhyuk Moon et.al, [13] proposed a novel wearable EMG based HCI for the wheelchair user with severe motor disabilities caused by C4 and C5 spinal cord injury. The EMG signal is acquired by left, right and both shoulder elevation motion. EMG wearable device directly generates MAV (Mean Average Value) signal from raw EMG. The MAV signal is converted to digital data using AD converter embedded in a high speed microcontroller. The recognized result is sent to the wheelchair controller via Bluetooth communication module. The following year one more paper regarding people suffering from motor disabilities was presented. In 2006 Ki-Hong Kim et.al, [14] developed an interface that relies on EMG signal acquired from human face during contraction of muscle. Electrodes are placed around forehead, cheeks and eyes. The subject was made to perform some actions like blinking of eyes, clenching of teeth, wrinkling of forehead and frowning. The signal is acquired and analyzed using LPC (Linear Prediction Coefficient) and LPC entropy were calculated to find the characteristics information contained in the measured signal. For pattern recognition Hidden Markov Model (HMM) is used. Same year some were working on hand gesture recognition. In 2006 Ganesh R Naik ei.al, [15] proposed an approach to identify hand gestures using muscle activity separated from electromyogram using ICA (Independent Component Analysis). The aim of the experiment in this paper was to test the use of ICA for separation of the EMG signals for the purpose of identifying hand gestures and actions. After the recognition of hand gestures and enabling motor disabilities, in 2008 JonghwaKim et.al, [16] proposed modification of a RC car that is controlled by users hand signs, instead of using remote control unit. The interfacing system first calculates relevant features in the EMG signal of four hand signs, classifies the hand signs into the four classes, and assigns the result to certain steering commands for the RC car. For feature extraction RMS was used calculated by observing last 16 incoming values. For classification KNN and Bayes theorem was combined using decision tree and purpose a control the car via PC. Similarly in 2009 Jun-Ru Ren et.al, [17] studied an Electromyogram Based on HCI. This paper showed a control system using forearm electromyography that is proposed for computer peripheral control and artificial prosthesis control. The system intends to realize the commands of six pre defined hand poses i.e. up, down, left, right, yes and no. Power spectral density (PSD) is used to measure signal power intensity and for classifier the Bayesian classifier is used for extracting feature. In the same year Ahsan et.al, [9] classified EMG signal techniques to help improve interface for disabled people. This paper discusses various methodologies and techniques for interpreting EMG signal. Researchers extended their study to multistep EMG classification in 2010 Armando Barreto et.al, [19] proposed a system that can effectively help disabled people from the neck down to interact with computer or communicate with people through computers using point and click graphic interfaces. The EMG signal is generated using facial muscle with a corresponding cursor movement command. In 2011 surface EMG has attracted an attention of researchers for interface signal. Ishii et.al, [20] studied about myoelectric prosthetic in which arm/hand gesture is distinguished by identification of the surface Electromyogram. For identification of motion neural network is used. In 2012 Takeshi Tsujimura et.al, [21] studied Hand Sign Classification Employing Myoelectric Signals of Forearm. The purpose of this paper was to design an uncomplicated system to identify finger motion and to develop innovative HMI. This paper also distinguishes the hand signs by analyzing the forearm EMG signals. It relies on the proposition that the specific muscles of forearm work even if fingers are moved. Researchers studied through multichannel surface EMG signals and in 2014 Han Li et.al, [4] showed HCI system Based on the multichannel SEMG of the hand gesture recognition based on the feature extraction, identification, classification and control of the SEMG which controls quad copter flight. In this paper, the four different gestures can be distinguished accurately to complete the real-time interactive process. The experimental results show that the HCI system based on SEMG has high accuracy. Auto regression method is used for analysis of SEMG signal and the classification is done using back propogation technique. In 2015 Ahmed Mehaoua et.al, [18] designed a novel EMG based system that aims to control multimedia player in simple, efficient and flexible manner. The objective of this paper was to provide efficient control system seeking to simplify the life of hand amputee persons by allowing them to control media player through EMG signals generated by muscle activation from forearm contraction. The electrical potential generated allows start, stop a video or switching between a set of media. For detecting muscle contraction four steps is used rectification, filtering, linear envelop and onset contraction and turns the signal into usable form. After detection of muscle contraction, system was enhanced by adding commands like start, stop, previous, next and pause. 4Summary of Survey The survey paper focuses on evaluation and detection of an EMG signal and use of this system for real time. There are many classification methodologies and artificial intelligence techniques based on neural network to classify EMG signal. Some of the techniques are ANN, K-Nearest Neighbor (KNN), and Support Vector Machine (SVM) etc. 4.1. Back Propagation Neural Network Back propagation algorithm is applied on the multichannel SEMG [18] of the hand gesture recognition based on the featureextraction and control of the SEMG which controls quad copter flight. BP neural network contains three parts: the BP neural network building, the BP neural network traning and the BP neural network classification.BP neural network building is determined according to the input and output charasteristics of the system structure of the BP neural network. The number of the AR (auto regression) model coefficientof input vector is 16 and the number of the output is 4,so theinput layer has 16 nodes and the output layer has 4 nodes. 4.2. Fuzzy Min Max Neural Network Jong-Sung Kim [12] applied fuzzy mean max neural network (FMMNN) as a classifier for online EMG mouse that controls computer cursor. Also, stochastic values such as integral absolute value were used as features for an appropriate classification of the intended wrist motions. 6 predefined wrist motions to left, right, up, down, click and rest operation were determined. 4.3. Hidden Markov Model Ki-Hong Kim [14] developed an interface using EMG signal from human face.For pattern recognition HMM comprised three states and two Gaussian mixtures per state is employed which is used as a classifier. The standalone interface system was implemented and the subject (people as volunteers) were able to make the wheelchair turn left, right, forward and backward by simple action provided by them. Classification is done by comparing the likelihood values of an arbitrary feature sequence evaluated from four HMMs, HMML, HMMR, HMMF, and HMMB for left, right, forward, and backward, respectively, and selecting the model with the maximum value. 4.4. Bayes Network Alsayegh et.al, [11] presented an EMG-based human-machine interface system that interprets arm gestures in the 3-dimensional (3D) space. Gestures are interpreted by sensing the activities of three muscles, namely, anterior deltoid (AD), medial deltoid (MD), and biceps brachii (BB) muscles. The problem of gesture classification is carried out in a framework of the statistical pattern recognition. The processing of the EMG signals utilizes the temporal coordination activity of the monitored muscles to identify a particular gesture. The classification procedure is carried out by constructing successive feature vectors for each gesture. These feature vectors describe the gestures temporal signature. This type of classification is referred to as the context-dependent classification, which is carried out in this study within the framework of Bayes theorem. The development of an EMG based interface for hand gesture recognition is presented by Jonghwa Kim et.al, [16]. For realizing real-time classification assuring acceptable recognition accuracy, they introduced the combination of two simple linear classifiers (K-nearest neighbour (KNN) KNN and Bayes) in decision level fusion. Table 1 provides the summary of the survey in accordance with the methodologies used in various papers. It provides the description of the success rate resulted by the use of classification techniques. Table 1.Summary of major methods used for EMG classification Classifier used Title Researchers Description Back Propagation Neural Network Human computer interaction system design based on surface EMG signals. Han Li , Xi Chen, et.al, (2014) à ¢Ã¢â€š ¬Ã‚ ¢93% success rate in the multichannel SEMG of the hand gesture recognition. à ¢Ã¢â€š ¬Ã‚ ¢Auto-regressive model method is used. Hidden Markov Model A practical biosignal-based human interface applicable to the assistive systems for people with motor impairment. Ki-Hong Kim et.al (2006) à ¢Ã¢â€š ¬Ã‚ ¢97% success rate in developing an interface using human face. à ¢Ã¢â€š ¬Ã‚ ¢Subject was able to turn left, right, forward and backward. Fuzzy Min Max Neural Network A new means of HCI: EMG-mouse. Jong-sung Kim et.al, (2004) à ¢Ã¢â€š ¬Ã‚ ¢Stochastic values such as integral absolute values were used as feature extraction. à ¢Ã¢â€š ¬Ã‚ ¢Six distinctive wrist motions can be classified well. à ¢Ã¢â€š ¬Ã‚ ¢Pattern recognition rate of each wrist motions is above 90%. Bayes Network A practical EMG-based human-computer interface for users with motor disabilities. Alsayegh et.al,(2000) à ¢Ã¢â€š ¬Ã‚ ¢classification is done in a framework of statistical pattern recognition. à ¢Ã¢â€š ¬Ã‚ ¢classification rate reported was 96%. EMG-based hand gesture recognition for realtime biosignal interfacing. Jonghwa Kim et,al, (2008) à ¢Ã¢â€š ¬Ã‚ ¢K-Nearest Neighbour (k-NN) classifier added with Bayes to obtain good result à ¢Ã¢â€š ¬Ã‚ ¢Average classification rate reported was over 94%. 5Conclusion Developing better human computer interface will help improve quality of life of people suffering from physical disabilities. EMG signal is one of the natural technique that captures electrical signals from human body for the use of HCI and provides an interface for human and computer to interact appropriotely. This survey paper focuses on the work of various researchers, the methodologies used for the classification of EMG signal. Therefore, it can be concluded from the survey of various paper that neural network has been used as a prominent classification technique of EMG signal for HCI. For future works new and more enchanced classification techniques can be developed besides neural network, a work can be done in creating light weight EMG signal, multiclass hand process and on-line processing. References Dix, A.: Human-computer interaction. (pp. 1327-1331). Springer US (2009) Andurkar, A. G., Andurkar, R. G.: Human-computer interaction. International Research Journal of Engineering and Technology (IRJET), vol.2, issue.6, (2015) Human computer Interaction: An Overview, http://www.ee.cityu.edu.hk/~hcso/ee4213_ch1.pdf Li, H., Chen, X., Li, P.: Human-computer interaction system design based on surface EMG signals. In: Modelling Identification Control (ICMIC) Proceedings of the 6th International Conference on (pp. 94-98). IEEE (2014, December) Chowdhury, R. H., Reaz, M. B., Bakar, A. A., Hasan, M. S.: Muscle Technology. 6(12), 2192-2196, (2013) Day, S.: Important factors in surface EMG measurement. Bortec Biomedical Ltd publishers, 1-17, (2002) Barreto, A. B., Scargle, S. D., Adjouadi, M.: A practical EMG-based human-computer interface for users with motor disabilities. Journal of rehabilitation research and development, 37(1), 53, (2000) Ali, A. A., Albarahany, A., Quan, L.: EMG signals detection technique in voluntary muscle movement. In: Information Science and Service Science and Data Mining (ISSDM), 6th International Conference on New Trends in (pp. 738-742). IEEE, (2012, October) Ahsan, M. R., Ibrahimy, M. I., Khalifa, O. O.: EMG signal classification for human computer interaction: a review. European Journal of Scientific Research, 33(3), 480-501, (2009) Koike, Y., Kawato, M.: Human interface using surface electromyography signals. Electronics and Communications in Japan (Part III: Fundamental Electronic Science), 79(9), 15-22, (1996) Alsayegh, O. A.: EMG-based signal processing system for interpreting arm gestures. In: Signal Processing Conference, 2000 10th European (pp. 1-4). IEEE, (2000, September) Kim, J. S., Jeong, H., Son, W.: A new means of HCI: EMG-mouse. In: Systems, Man and Cybernetics, 2004 IEEE International Conference on (Vol. 1, pp. 100-104). IEEE, (2004, October) Moon, I., Lee, M., Chu, J., Mun, M.: Wearable EMG-based HCI for electric-powered wheelchair users with motor disabilities. In: Robotics and Automation, 2005. ICRA 2005. Proceedings of the 2005 IEEE International Conference on (pp. 2649-2654). IEEE, (2005, April) Ki-Hong, K. I. M., Jae-Kwon, Y. O. O., Kim, H. K., Wookho, S. O. N., Soo-Young, L. E. E.: A practical biosignal-based human interface applicable to the assistive systems for people with motor impairment. IEICE transactions on information and systems, 89(10), 2644-2652, (2006) Naik, G. R., Kumar, D. K., Singh, V. P., Palaniswami, M.: Hand gestures for HCI using ICA of EMG. In: Proceedings of the HCSNet workshop on Use of vision in human-computer interaction-Volume 56 (pp. 67-72). Australian Computer Society, Inc., (2006, November) Kim, J., Mastnik, S., Andrà ©, E.: EMG-based hand gesture recognition for realtime biosignal interfacing. In: Proceedings of the 13th international conference on intelligent user interfaces (pp. 30-39). ACM, (2008, January) Ren, J. R., Liu, T. J., Huang, Y., Yao, D. Z.: A study of Electromyogram based on human-computer interface. Journal of electronic science and technology of China, 7(1), 69-73, (2009) Hammi, M. T., Salem, O., Mehaoua, A.: An EMG-based Human-Machine Interface to control multimedia player. In: E-health Networking, Application Services (HealthCom), 2015 17th International Conference on (pp. 274-279). IEE, (2015, October). Ren, P., Barreto, A., Adjouadi, M.: Multi-step EMG classification algorithm for human-computer interaction. In: Innovations in Computing Sciences and Software Engineering (pp. 183-188). Springer Netherlands, (2010) Ishii, C.: Recognition of Finger Motions for Myoelectric Prosthetic Hand via Surface EMG. INTECH Open Access Publisher, (2011) Tsujimura, T., Yamamoto, S., Izumi, K.: Hand Sign Classification Employing Myoelectric Signals of Forearm. CURRENT APPLICATIONS AND FUTURE CHALLENGES, 309, (2012)

French Revolution :: essays research papers

Napoleon’s return to an autocratic government saved the French revolution, and all it stood for; and saving France from a near potentially anarchic situation. Napoleon although an autocratic dictator, was nothing like his predecessors (nor was he like king Louis XVI). Napoleon was in touch with all French men and worked for the good of all French people, and introduced new reforms and change. Napoleon’s autocratic government made many important decisions that were duly welcomed by many French people. Napoleon changed the way of life for many French people, which placed increased confidence in French government and leadership; by instituting the destruction of the corrupt directory(or also known as the Coup d’etat). France’s political changes and restructure, paved the way for radical social changes in many areas of French society (e.g. personal rights & freedom, education, roads, public works and laws etc). Increased territory to the France (on napoleons command) meant further glory to France, and inturn meant increased wealth for the French government. The most important of all Napoleons achievements was the formation of the Bank of France; this generated positive interest in the French economy and encouraged investment in France.   Ã‚  Ã‚  Ã‚  Ã‚   The coup d'etat was an act by Napoleon and Emmanuel Sieyes to overthrow the Directory. The Directory was a new form of government that was established in 1795. It consisted of five members that were elected by both houses of the legislature. This form of government was proved even less effective than the Legislative Assembly and the national convention. Within the Directory there was incompetence and corruption that was putting France in a major debt. It didn't do much to solve the financial problems and military problems in France.   Ã‚  Ã‚  Ã‚  Ã‚  Attacks on the republic and other conservatives increased. Rising prices and disrupted production drove some groups in France to armed protests. And foreign hostility to France continued. Then when Napoleon, Sieyes, and their followers got their chance they executed the coup d'etat. Armed soldiers forced legislators from their chambers, and abolished the directory. France proclaimed a new form of government that Napoleon called the Consulate. Three consuls headed it, and Napoleon was the first consul. Being first consuls mean that Napoleon assumed practically most power. Napoleons power allowed him to do the things that needed to be done, and even allowed him to become consul for life, later to become emperor of France. Napoleon them reorganized almost everything in France, and made way for a better French society.