Tuesday, January 28, 2020
Change Detection Techniques of Remote Sensing Imageries
Change Detection Techniques of Remote Sensing Imageries 1.1 Introduction Over the past years, academics have suggested enormous numbers of change detection techniques of remote sensing imageries and classified them from a different point of views [28]. These techniques depend on the assumption of spatial independence among pixels. This assumption is valid only for low, medium and high-resolution images but insufficient for VHR images [1]. This chapter presents the concept, implementation, and assessment of seven change detection techniques using low, medium and high-resolution ORSI. The rest of this chapter is organized into eight sections. Section 3.2 presents a brief description of the study areas. Section 3.3 describes the dataset characteristics of the study areas (Sharm El-Sheikh city and Mahalla al-kubra city Egypt). Section 3.4 presents the pre-processing performed on the image dataset before change detection process. Section 3.5 provides the accuracy assessment measures used for evaluation of the change detection process. Section 3.6 illustrates the concepts of the selected seven change detection techniques. These techniques are post-classification, direct multi-date classification (DMDC), image differencing (ID), image rationing (IR), image symmetric relative difference (ISRD), change vector analysis (CVA), and principal component differencing (PCD). Section 3.7 presents the experimental work. It explains the Implementation and accuracy assessment of applying the selected change detection techniques on an image dataset of Sharm El-Sheikh city- Egypt. Section 3.8 presents the application of post-classification change detection technique on an image dataset of El-Mahalla El-kubra City-Egypt to detect the urban expansion over the agricultural area through the period from 2010 to 2015. Finally, section 3.9 gives the chapter summary. 1.2 The study areas In this chapter, two study areas are selected for the application of the selected change detection techniques. The first area is a part of Sharm el-Sheikh city. It is located on the southern landfill of the Sinai Peninsula, in the South Sinai Governorate, Egypt, on the coastal bar along the Red Sea as shown in figure (3.1). Its population is approximately 73,000 as of 2015 [62]. Sharm El Sheikh is the administrative hub of Egypts South Sinai Governorate, which includes the smaller coastal towns of Dahab and Nuweiba as well as the mountainous interior, St. Catherine and Mount Sinai. Today the city is a holiday resort and significant center for tourism in Egypt. The selected area is about 12.5 Km2. The second study area is a village belongs to El Mahalla El Kubra city. El Mahalla El Kubra is a large industrial and agricultural city in Egypt, located in the middle of the Nile Delta on the western bank of the Damietta Branch tributary, as shown in figure (3.2). The city is known for its textile industry. It is the largest city of the Gharbia Governorate and the second largest in the Nile Delta [63]. The selected area is about 38 Km2. 1.3 Images datasets of the study areas In this chapter, two datasets are used. The first dataset consists of two images of Sham el-Sheikh city acquired by Landsat 7 at 2000 and 2010 respectively as shown in figure (3.3). Area of the image lies between Lat. 28 0 37.0091 N, Lon. 34 17 56.3381 E and Lat. 27 57 20.8804 N, Lon. 34 24 43.6080 E. Table (3.1) summarizes the characteristic of these images. Table (3.1 ) Characteristic of Sham el-Sheikh dataset No Spatial resolution Radiometric resolution Number of bands Acquisition date Size [pixels] Area [km2] Width Height 1 30 m 8 bits 3 2000 382 364 12.5143 2 30 m 8 bits 3 2010 382 364 12.5143 (a) (b) Fig (3.3 ) Dataset of Sharm el-Sheikh city- Egypt acquired by Landsat 7 at (a) image acquired at 2000 and the (b) image acquired at 2010. Figure (3.4) illustrates the second dataset of a village belongs to EL Mahalla al-Kubra city in Egypt. It consists of two images acquired in 2010 and 2015. It is taken by El-Shayal Smart web online Software that could acquire Satellite images from Google Earth. The image area lies between Lat. 30 57 46.9032 N, Lon. 31 14 35.4776E and Lat. 30 54 47.00 N, Lon. 31 18 19.98. Table (3.2) summarizes the characteristic of this dataset. (a) (b) Fig ( 3.4 ) Dataset of EL mahalla al-kubra city- Egypt ( Google Earth) (a) image acquired at 2010 and (b) image acquired at 2015. Table (3.2 ) Characteristic of EL mahalla al-kubra dataset No Spatial resolution Radiometric resolution Number of bands Acquisition date Size [pixels] Area [km2] Width Height 1 6 m 8 bits 3 2010 1056 1007 38.2821 2 6 m 8 bits 3 2015 1056 1007 38.2821 1.4 Image Pre-processing for Change Detection Before change detection process, it is usually necessary to carry out the radiometric correction and image registration for the dataset used [64]. In sections 3.4.1and 3.4.2, the concept of radiometric and image registration are described. The execution of preprocessing on the dataset used is given in section 3.7.2. 1.4.1 Radiometric correction Radiometric conditions are influenced by many factors such as different imaging seasons or dates, different solar altitudes, different view angles, different meteorologic conditions and different cover areas of cloud, rain or snow etc. It may affect the accuracy of most change detection techniques. Radiometric correction is performed to remove or reduce the inconsistency between the values surveyed by sensors and the spectral reflectivity and spectral radiation brightness of the objects, which encompasses absolute radiometric correction and relative radiometric correction [26]. Absolute radiometric correction It mainly rectifies the radiation distortion that is irrelevant to the radiation features of the object surface and is caused by the state of sensors, solar illumination, and dispersion and absorption of atmospheric etc. The typical methods mainly consist of adjusting the radiation value to the standard value with the transmission code of atmospheric radiation, adjusting the radiation value to the standard value with spectral curves in the lab, adjusting the radiation value to the standard value with dark object and transmission code of radiation, rectifying the scene by removing the dark objects and so on. Due to the fact that it is expensive and impractical to survey the atmospheric parameter and ground objects of the current data, and almost impossible to survey that of the historical data, it is difficult to implement absolute radiometric correction in most situations in reality. Relative radiometric correction In a relative radiometric correction, an image is regarded as a reference image. Then adjust the radiation features of another image to make it match with the former one. Main methods consist of correction by histogram regularization and correction with fixed object. This kind of correction can remove or reduce the effects of atmosphere, sensor, and other noises. In addition, it has a simple algorithm. So it has been widely used. The radiation algorithms that are most frequently used at present in the preprocessing of change detection mainly consists of image regression method, pseudo-invariant features, dark set and bright set normalization, no-change set radiometric normalization, histogram matching, second simulation of the satellite signal in the solar spectrum and so on. It should be pointed that radiometric correction isnt necessary for all change detection methods. Although some scholars hold that radiometric corrections are necessary for multi-sensor land cover change ana lysis Leonardo studies at 2006 have shown that if the obtained spectral signal comes from the images to be classified, it is unnecessary to conduct atmospheric correction before the change detection of post-classification comparison. For those change detection algorithms based on feature, object comparison, radiometric correction is often unnecessary [64]. 1.4.2 Image registration Precise registration to the multi-temporal imageries is essential for numerous change detection techniques. The importance of precise spatial registration of multi-temporal imagery is understandable because generally spurious results of change detection will be formed if there is misregistration. If great registration accuracy isnt available, a great deal of false change area in the scene will be caused by image displacement. It is commonly approved that the geometrical registration accuracy of the sub-pixel level is recognized. It can be seen that the geometrical registration accuracy of the sub-pixel level is necessary to change detection. However, it is doubtful whether this result is suitable for all registration data sources and all detected objects and if suitable how much it is. Another problem is whether this result has no influence on all change detection techniques and applications and if there is any influence how much it is. These Problems are worth to be studied further. On the other hand, it is difficult to implement high accuracy registration between multi-temporal especially multi-sensor remote sensing images due to many factors, such as imaging models, imaging angles and conditions, curvature and rotation of the earth and so on. Especially in the mountainous region and urban area, general image registration methods are ineffective and orthorectification is needed. Although geometrical registration of high accuracy is necessary to techniques used for low, medium and high resolution (like image differencing techniques and post-classification), it is unnecessary for all change detection t. For the feature-based change detection methods like object-based change detection method, the so-called buffer detection procedure can be employed to associate the extracted objects or features and in this manner, the harsh prerequisite of perfect registration can be escaped [65]. However, these methods neglect the key problem of the distinction between radiomet ric and semantic changes. So, it does not address the problem of change detection from a general perspective. It just focuses on specific applications relevant to the end user [1]. 1.5 Accuracy Assessment used for Change Detection Process evaluation The accuracy of change detection depends on many factors, including precise geometric registration and calibration or normalization, availability and quality of ground reference data, the complexity of landscape and environment, methods or algorithms used, the analysts skills and experience, and time and cost restrictions. Authors in [66] summarized the main errors in change detection including errors in data (e.g. image resolution, accuracy of location and image quality), errors caused by pre-processing (the accuracy of geometric correction and radiometric correction), errors caused by change detection methods and processes (e.g. classification and data extraction error), errors in field survey (e.g. accuracy of ground reference) and errors caused by post-processing. Accuracy assessment techniques in change detection originate from those of remote sensing images classification. It is natural to extend the accuracy assessment techniques for processing single time image to that of bi-temporal or multi-temporal images. Among various assessment techniques, the most efficient and widely-used is the error matrix [26]. It describes the comparison or cross-tabulation of the classified land cover to the actual land cover revealed by the sample sites results in an error matrix as demonstrated in the table (3.3). It can be called a confusion matrix, contingency table [67], evaluation matrix [68] or misclassification matrix [69]. Different measures and statistics can be derived from the values in an error matrix. These measures are used to evaluate the change detection process. These measures are overall accuracy, procedures accuracy and user accuracy [70]. Overall accuracy of the change map It presents the ratio of the total number of correctly classified pixels to the total number of pixels in the matrix. This figure is normally expressed as a percentage. It can be expressed as follows: The overall accuracy =                       (3.1) Users accuracy (column accuracy) It is a measure of the reliability of change map generated from a CD process. It is a statistic that can tell the user of the map what percentage of a class corresponds to the ground-truthed class. It is calculated by dividing the number of correct pixels for a class by the total pixels assigned to that class. The user accuracy =                  (3.2) Producers accuracy (raw accuracy) It is a measure of the accuracy of a particular classification scheme. It shows what percentage of a particular ground class was correctly classified. It is calculated by dividing the number of correct pixels for a class by the actual number of ground truth pixels for that class. The procedure accuracy =             (3.3) Table ( 3.3 ) Change error matrix or confusion matrix. Classified land cover Actual land cover Class1 = change Class2 = no change Class1 = change Correct False Class2 = no change False Correct 1.6 Concepts of the selected change detection techniques Seven LULC change detection techniques are selected to be implemented on our dataset. These techniques are post-classification, direct multi-date classification (DMDC), image differencing (ID), image rationing (IR), image symmetric relative difference (ISRD), change vector analysis (CVA), and principal component differencing (PCD). Image differencing Itis based on the subtraction of two spatially registered imageries, pixel by pixel, as follows: ID =Xi (t2) Xi (t1)                                                          (3.4) Where: X represents the multispectral images with I (number of bands) acquired at two different times t1and t2. The pixels of changed area are predictable to be scattered in the two ends of the histogram of the resulting image (change map), and the no changed area is grouped around zero as shown in figure (3.5). This simple manner easily infers the resulting image; conversely, it is vital to properly describe the thresholds to perceive the change from non-change regions [71]. Fig (3.5 ) Histogram of the change map. Image Rationing It is similar to image differencing method. The only difference between them is the replacement of the differencing images by rationed images [71].                                  IR =Xi (t2) / Xi (t1)                                                    (3.5) Image Symmetric Relative Difference it is based on the useof symmetric relative difference formula to measure change [72], as follows: ISRD =                                       (3.6) Separating the change by the pixels value at time 1 and time 2 permits the derivation of a change map that measures the proportion change in the pixel, nonetheless of which image is selected to be the first image. For instance, a pixel that had a value of 20 at time 1 and a value of 80 at time 2 would have an absolute change of 60, and a proportion change value in the change map of 375%: [(80 20) / 20 + (80-20)/80] * 100 = 375% An additional pixel with a value of 140 at time 1 and 200 at time 2 would also have an absolute change of 60, but its proportion change would only be 72.86%:     [(200 140) / 140 + (200-140)/200] * 100 = 72.86% In general, it can be supposed that the proportion change of a pixels brightness value is more revealing of real change in the image than purely the absolute change [73]. Change Vector Analysis It generates two outputs: a change vector image and a magnitude image. The spectral change vector (SCV) explains the direction and magnitude of change from the first to the second date. The overall change extent per pixel is considered by defining the Euclidean distance between end points over dimensional change space, as follows:                            (3.7) A decision on change is made based on whether the change magnitude exceeds a specific threshold. The geometric concept of CVA is applicable to any number of spectral bands [41]. Principal Component Differencing It is often accepted as effective transforms to derive information and compress dimensions. Most of the information is focused on the first two components. Particularly, the first component has the most information. The difference between the first principle component of two dates has the potential to advance the change detection outcomes, i.e. PCD= PC1 (X(t2)) PC1 (X(t1))                                           (3.8) The change detection is implemented based on threshold [28]. Direct multi-date classification It combines the two images (X (t2) and X (t1)) into a single image on which a classià ¯Ã‚ ¬Ã‚ cation is performed. The areas of changes are expected to present different statistics (i. e., distinct classes) compared to the areas with no changes [74]. Post-classification It is based on the classification of the two images (X (t2) and X(t1)) separately and then compared. Ideally, similar thematic classes are produced for each classià ¯Ã‚ ¬Ã‚ cation. Changes between the two dates can be visualized using a change matrix indicating, for both dates, the number of pixels in each class. This matrix allows us to interpret what changes occurred for a specià ¯Ã‚ ¬Ã‚ c class. The main advantage of this method is the minimal impacts of radiometric and geometric differences between multi-date images. However, the accuracy of the à ¯Ã‚ ¬Ã‚ nal result is the product of accuracies of the two independent classià ¯Ã‚ ¬Ã‚ cations (e.g., 64% à ¯Ã‚ ¬Ã‚ nal accuracy for two 80% independent classià ¯Ã‚ ¬Ã‚ cation accuracies) [74]. 1.7 Experimental work This section describes the environment and the implementation procedures of seven selected change detection techniques on the first dataset of Sham el-Sheikh city. 1.7.1 Experiment setup Applying methods described in section 3.5 requires a suitable setup (environment). The setup requirements are summarized in software and hardware. A laptop machine with processor Intel(R) core (TM)i7-4500U CPU @1.80 GH 2.40 GH and RAM 8 GB is used as hardware environment. ERDASD IMAGINE 2014 is selected to be the software environment. It has the Model maker toolbox which is used as a programming language. It is chosen for its ability to combine matrix datasets and multi-dimensional arrays that are used to represent multi-dimensional images, and also for its ability to visualize and interrogate results in an interactive manner. Moreover, it allows providing the integration of the necessary datasets and algorithmic customizations for the development of the described method. 1.7.2 Pre-processing Dataset of EL mahalla al-kubra described in section 3.3 had already registered before. Radiometric correction is carried out to minimize the false change detection by applying histogram matching between the two images. So, the pixel of the no changed areas in one date should take the same or close gray level values of the corresponding pixels in the other date as shown in figure (3.6) [75]. (a) (b) Fig (3.6 ) Dataset of Sharm el-Sheikh city after applying histogram matching on the image acquired at 2000 to match the image acquired at 2010. 1.7.3 Implementation of the change detection techniques The selected techniques are implemented by the model maker in the ERDAS IMAGINE 2014 software for a dataset of Sharm el-Sheikhto provide an overview and assessment of LULC change detection techniques. 250 random variables are used to generate an error matrix to calculate the overall accuracy according to equation (3.1). The reference points are driven visually by comparing the two images. Table (3.4) summarizes the implementation of the selected methods. 1.7.4 Results analysis The results of applying the selected change detection techniques on the first dataset of Sham el-Sheikh city are introduced in the following: Image differencing The change map generated using the image differencing method described in section 3.6 is shown in figure (3.7). The change map has two colors. The white color represents the changed area while the black color represents the no changed area. The change error matrix is generated using 250 random variables as demonstrated in the table (3.5). The reference information is taken visually by comparing the dataset. It is used to calculate the overall accuracy, user accuracy, and the procedures accuracy. The overall accuracy of the change map is 92.4%. Table (3.4) Steps of implementation the selected change detection techniques on a dataset of Sharm el-Sheikh. Method Procedures Image differencing ID 1- Applying equation (3.4). 2- Threshold values were determined according to the statistical calculation by taking (1* STD) to identify the land cover change. This step provides a binary image for each band, 1 as change and 0 as non-change. 3- The change map is produced according to the majority voting between the binary images. 4- The overall accuracy is calculated by Producing change error matrix using 250 random variables according to equation (3.1). Image rationing IR 1- Apply equation (3.5). 2- Thresholds were determined as mentioned before. 3- Change map is produced through majority voting between the binary images. 4- The overall accuracy is calculated by Producing change error matrix using 250 random variables according to equation (3.1). Image symmetric Relative Difference ISRD 1-Apply equation (3.6) 2- Thresholds were determined as mentioned before. 3- Change map is produced through majority voting between the binary images. 4- The overall accuracy is calculated by Producing change error matrix using 250 random variables according to equation (3.1). Change Vector analysis CVA 1- Apply equation (3.7) to get the Euclidian distance between the two dates. 2- Thresholds were determined as mentioned before. 3- Change map is produced through majority voting between the binary images. 4- The overall accuracy is calculated by Producing change error matrix using 250 random variables according to equation (3.1). Principal component differencing PCD 1- Get the principle componentof the two images. 2- Apply equation (3.8). 3- Thresholds were determined as mentioned before. 4- Change map is produced through majority voting between the binary images. 5- The overall accuracy is calculated by Producing change er
Monday, January 20, 2020
Essay on Symbols and Symbolism in Moby Dick :: Moby Dick Essays
"He piled upon the whale's white hump the sum of all the general rage and hate felt by his whole race from Adam down; and then, as if his chest had been a mortar, he burst his hot heart's shell upon it." Such was Melville's description of Captain Ahab. The symbolism that this statement suggests, along with many other instances of symbolism, are incorporated into Moby Dick. Although the crew knew that Ahab was obsessed with vengeance and wasn't interested in killing Moby Dick for whale oil, they still felt obligated to follow his orders. They knew that the rule book said that if a captain went against his contract due to personal feelings, they were obliged to wrest command from him. This idea symbolizes the emotional attachment we have to those around us, and it also demonstrates the mixed feelings we have when somebody we respect does something evil. In the end, this emotional attachment destroyed the crew. Starbuck had a golden opportunity to kill Ahab, but for his own salvation, h e undermined the good of the crew and chose to let the Captain live. So, part of the lesson of Moby Dick is not to let sentiment and personal feelings get in the way of our duty. The lack of this lesson among the crew destroyed Ahab and the entire ship's compliment, except for Ishmael. When Captain Ahab stabbed at Moby Dick with the harpoon, he was symbolizing the power that obsession has when a person lets it take over one's mind. Ahab had no chance of killing Moby Dick, yet he engaged in his suicide plan to stab at the whale. This lesson not to let obsession take over your mind is similar to Javert's obsession with justice and imprisoning Valjean in Les Miserables. It shows that a passion with a personal vendetta will ultimately destroy a person, whether it destroys the person physically or mentally. Moby Dick also was a mixed symbol. It seemed clear to the crew of the Pequod that whales were evil and whales were the enemy. Yet, white is a symbol of good, so one could conclude that Moby Dick was a symbol of both good and evil. With Moby Dick killing Ahab, he gave Ahab his just reward from acting out of revenge, which could be interpreted as an act of good. When Moby Dick killed all but one of the crew, it showed that he may be evil, even though he was acting only out of instinct, thinking his life was threatened.
Sunday, January 12, 2020
Hypnosis. Psychological and Physical Aspects of Hypnosis
| Hypnosis. Psychological and physical aspects of hypnosis. Hypnosis is a natural state of mind that can be used for many purposes, in different settings. Nowadays research in the field of hypnosis and associated areas has blossomed and there are valuable evidence that hypnosis has real and measurable affects on both body and mind. During this essay I will be describing what is hypnosis including what the psychological and physical aspects of hypnosis are, further I will be discussing the role of relaxation in hypnotherapy. We experience the â€Å"hypnotic state†in everyday life and it often occurs without recognition as such. It is believed that our mind can drift from alert state into different level of consciousness whenever we do activities in automatic mode, like driving, jogging, taking a shower, walking, etc. These are hypnotic-like trances. The main differences between these sorts of trance and clinical hypnosis are specific motivation and suggestions to achieve some desired results. Therapist may use hypnosis to explore patient’s unconsciousness, to identity whether past events or experiences are associated with causing a problem. One of the most accepted axioms of hypnotherapy that nothing can be done with hypnosis that cannot be done without. Barber (1969) offered considerable experimental evidence for â€Å"Anything you can do I can do†¦ †At the same time, since hypnosis occurs spontaneously in therapy as well as in ordinary life it is impossible to ignore the part played by hypnosis in the service of the patient. It is important to understand that no two individuals will have identical experience as they progress from the state of alertness to a deep trance. The impact of hypnosis on a person's subsequent actions is dependent upon how suggestible that particular individual happens to be, a quality that can differ from one person to the next. Each person experiences the hypnotic phenomenon in his or her own way. However, it has been recognized that suggestions during the hypnosis could influence the physical processes in the body and in the brain. The earliest references of hypnosis date back to ancient Egypt and Greece. Both cultures had religious centres where people came for help with their problems. Hypnosis was used to induce dreams, which were then analysed to get to the root of the trouble. The man who most people associate with the beginning of hypnosis is an Austrian doctor Franz Anton Mesmer (1733-1815). Mesmer believed that a â€Å"cosmic fluid†could be stored in inanimate objects, such as magnets, and transferred to patients and cure them of illness. Eventually Mesmer discarded the magnets and regarded himself as a magnet through which a fluid life force could be conducted and transmitted to others as a healing force. He incorporated that into the theory of â€Å"animal magnetism†. Despite the fact that no evidence supports the existence of that theory, he had tremendous success. Mesmerism became the forerunner of hypnotic suggestion. Meanwhile, the marquise de Puysegur, believed that the â€Å"cosmic fluids†was not magnetic, but electric, that generated in plants and animals. Puysegur used the natural environment to fill his patients with healing electric fluid. During that activity some of the patients entered a somnambulistic state (a deep trance). The marquis had discovered the hypnotic trance, but had not identified it as such. Another forward thinker in the mid 1800 was a professor at London University, John Elliotson (1791-1868), who use the hypnotic state to relieve pain during the surgical operations. In India, a British surgeon, James Esdaile (1808-1859) recognised the enormous benefits of hypnosis for pain relief and performed hundreds of major operations using hypnosis as his only anaesthetic. This was accomplished by inducing the trance state to the patient weeks before the surgery and offering posthypnotic suggestions to numb the part of the body on which the operation was to be performed. The next real pioneer of hypnosis in Britain in the late 1800s was James Braid (1795-1860), who gave mesmerism a scientific explanation. He believed mesmerism to be a â€Å"nervous sleep†and coined the word hypnosis, from Greek word Hypnos, meaning sleep. He discovered that getting a patient to fixate upon something was one of the most important components of putting them into a trance. The French scientists were also taking the interest in the subject of hypnosis, and many breakthroughs were made by Ambroise Leibeault (1823-1904), a neurologist Jean Martin Charcot (1825-1893) and Charles Richet (1850-1935). Ambroise Leibeault and Hippolyte Bernheim (1837-1919) were the first who asserted that expectation is a most important factor in the induction of hypnosis and suggestibility is its essential symptom. The work of another Frenchman, Emile Coue (1857 – 1926), was very interesting. He is most famous for the phrase ‘Day by day in every way I am getting better and better'. His technique was one of affirmation and his idea was that the imagination is always more powerful than the will. Sigmund Freud (1856-1939) was also interested in hypnosis at this time. He was using it in his work, but eventually abandoned it in favour of psychoanalysis. With the rise of psychoanalysis in the first half of this century, hypnosis declined in popularity. Milton Erickson (1901-1980) is considered the leading authority of clinical hypnosis. Nowadays Erickson approach to hypnosis without question is the most effective. There are many physical and psychological problems can be effectively controlled by the use of hypnosis. Patients suffering with chronic illnesses such as cancer, arthritis, stroke and multiple sclerosis can benefits from hypnosis in many ways. In all this entire spectrum of diseases, pain is one of the most common symptoms. The most distressing an aspect of pain is the loss of control the patient feels. Through hypnosis is possible to show patients how they can use their own mind to change the subjective feeling of pain, restoring that sense of control and make patient feel empowered. Increased self-esteem, developing more positive attitude may even decrease the use of pharmacological agents. When done properly, hypnosis holds several advantages over drugs. It has no side effects, while drugs can leave a sense of dependence for the patient. Hypnosis not only gives the ability to relieve the pain, but removes the ever-present fear of pain’s return. For certain types of breast and thyroid surgery, a combination of hypnosis and local anaesthesia can aid in the healing process, and can reduce drug use and time spent in the hospital, according to studies reported at Euroanaesthesia 2011 in Amsterdam. According to the researchers, women who were hypnotized spent a few minutes more in the operating room (122 vs. 116 min), perioperative drug use was reduced, as was time in the recovery room and in the hospital. No patient in the hypnosis group converted to general anaesthesia during surgery. The major benefit is that hypnosis is modifying the cognitive response to sensation points, changing the expectations and reducing stress. Hypnosis can be especially helpful when dealing with diseases that have psychosomatic aspects, such as psoriasis, eczema, asthma. Study reviled that using hypnotherapy can improve those conditions. It concluded that the greater the depth of hypnosis the patient achieved the greater the improvement in patient’s condition. Using the relaxation techniques and post-hypnotic suggestion to discharge anxiety can significantly reduce the stress, which is a well known trigger for psychosomatic disorders. Hypnotherapy deals with psychological and physical disorders in variety of way. There are countless types of suggestion that can be given to patients while there in trance. Patients can even be age-regressed back to a time before they have been ill, injured or distressed and then received comfort and reassurance followed by relief. Imaginary, visualisation, metaphors are also the key factors in hypnosis. Through training the mind to imagine the desired outcome can help bring the desired result. This technique has great success in sport and help to achieve the peak performance. Relaxation is the first resource in hypnotherapy intervention that enhances the process of healing and recovery. Researchers have shown that being to tense or living with too much stress has a significant negative impact on our life. It can lead to physical illnesses and many psychological issues. The effect from relaxation on our body and mind is enormous. Relaxation in hypnotherapy helps in 3 ways; its completely turning off the sympathetic nervous system, changing our reaction to stressful events and build up our parasympathetic nervous system. The first goal in hypnosis is to achieve a very deep state of relaxation where our mind is more focused and the connections between our thoughts, emotions and behaviour are clearer. This type of therapy is very helpful to reduce anxiety, distress and fear. This is can be done in a trance state by guiding the patient through imaginary and visualisation. Once a patient is able to get into that state, the goal becomes lengthening the period of relaxation and teaching the patient how to control these internal images on his own. Most people will feel certain degree of anxiety in everyday life. Such feeling are generally reasonable and appropriate and it is only if that anxiety is exaggerated in intensity or duration, prevents to perform a required task or interfere with person’s life to a significant degree, than it is begins to regard as pathological reaction. Not surprisingly, using relaxation techniques can be very effective when patient get the rising heart and panic attack. This is another category of pathological anxiety reactions that includes phobic attacks to spiders, mice, rats, snakes, lizards and other creatures. Patients with such phobic reaction may be taught to rehearse so that every time they begin to get the racing heart signifying panic to that person, they begin to use their learned techniques of imagery to put their mind in a more relaxed place. The relaxation techniques can be used along with biofeedback instrument to increase the effectiveness of relaxation. Biofeedback is a tool which gives immediate and objective evidence to the patient of his ability to control such processes as heart rate, breathing rate, skin temperature, skin resistance and blood pressure. To those patients who are able to response moderately well to hypnosis, it offers a means of achieving some degree of voluntary or self-mediated control over these pathological reactions. It is important to ensure that anxiety is not the expression of underlying depression or major psychiatric disorder that is not yet manifest. Hypnosis has both a diagnostic and therapeutic role in eating disorders. For example, during hypnosis patients can uncover their past traumas or feeling of deserving self-punishment. Dr. Moshe S. Torem describes introducing hypnosis to eating disorders patient initially in the form of self-hypnosis, framed as a technique to improve calmness and relaxation. It appears that hypnotherapy is quite popular and sufficient way that could help you to illuminate negative behaviour patterns or bad habits. Focused relaxation techniques are used to modifier person behaviour and change the way one thinks about addictions and habits that affect the quality of life. Hypnosis connects modern practice with practices that have been used by ancient Egyptian and enlightened Zen masters. It informs our understanding of how the mind connects with the body, as well as how conscious mind connect with the unconscious. Hypnosis can be applied in physical and psychosomatic disorders in many ways. First, it can be effective in reducing pain and discomfort. Secondly, hypnotic techniques can contribute substantially to the reduction of distress, anxiety and fears. Thirdly, it can be employed to influence the psychological processes that can give the power and the ability to patients to improve their life in an infinite number of ways. Hellmut W. A. Karle and Jennifer H. Boys 2010. Hypnotherapy. A Practical Handbook Journals online. Journal of Health Psychology. The physical, Psychological and Social Impact of Psoriasis. Josie Hadley and Carol Staudacher 2002. Hypnosis for Change. Michael Heap and Windy Dryden. Hypnotherapy. A Handbook Medscape CME Nursing. Journal online. Euroanaesthesia 2011. , Combination of hypnosis and local anaesthesia for certain types of breast and thyroid surgery. www. ibshypnosis. com Clinical hypnosis: Something for you? By Olafur S. Palsson, Psy. D. www. hypnosisexpert. co. uk Top 5 Most Effective Uses for Hypnotherapy. By Anna Aengel 2010 www. systemthinker. com Hypnosis Past, Present and Future: Its Medical and Psychiatric Applications by Howard Ditkoff M. D. www. innerhealhstudio. com Relaxation Therapy For Body and Mind. By Candi Raudebaugh.
Friday, January 3, 2020
Racial Aspects Of The Civil War - 810 Words
Racial Aspects of the Civil War 1 April 30, 1866, four police officers encountered several blacks walking on Causey Street in Memphis, Tennessee. The officers forced the blacks off the sidewalk; one black stumbled and fell tripping an officer. The Police then drew their pistols and began to beat the blacks. The riot started the next day, when police officers attempted to arrest two former black soldiers. 2 It is said that nearly fifty blacks attempted to prevent the officer from jailing the ex-soldiers. â€Å"Accounts vary as to who began the shooting, but the altercation that ensued quickly involved more and more of the city.†White rioters burned a Freedmen’s schoolhouses, black homes, and even churches. May 3rd marked the end of the riots, Forty-six blacks died, and 285 people were injured. â€Å"Over one hundred houses and buildings burned down as a result of the riot and the neglect of the firemen.†2 The New Orleans Massacre was just another example of the bestial attitudes of the ex-confederates toward the blacks. Before the riot started in front of the Mechanics Institute, where white and black delegates were to meet for the Louisiana Constitutional Convention, 130 black citizens marched towards the Mechanics Institute. The Mayor at the time, Mr. John T. Monroe, rallied a mob of ex-confederates and white supremacists to stop the delegates from meeting. After reaching a distance of only a few blocks apart, shots rang out but the two groups continued advancing.Show MoreRelatedThe Battle Of The Confederate Flag1208 Words  | 5 Pagesflag. Apparently, there is a common perception among Democrats that the Confederates are associated with racial crime and hate in America. 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An example of the political aspects was the proposed MarchRead MoreThe War For Equality During The 20th Century1218 Words  | 5 PagesThe War for Equality The first half of the Twentieth century witnessed both WWI and WWII and another war as well; the War for Equality. With a racism and persecution at a high level, racial minorities were ready to fight back. In the first half of the Twentieth century the mistreatment of racial minorities led to a War for Equality; fought on many levels with varying levels of success. The war was fierce and did not end in the first half of the Twentieth Century. Like any war the War for EqualityRead MoreThe Tensions Of The Civil War988 Words  | 4 PagesThe tensions of the Civil War are very much still alive in the Southern United States one hundred and fifty years after the Confederacy surrendered to Union forces to end the war. 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The two wars shared the same time and place in history yet they were never associated with each other. Although the Cold War may seem as if it went on for forever, from 1947 until 1991, the Civil Rights Movement went on from 1954 to 1968. However, the massRead MoreSocial Problems: Is the United States Post-Racial?1237 Words  | 5 Pagesï » ¿Is the United States Post-Racial? The election of Barack Obama to the Presidency of the United States has generated a lot of discussions and debate on the current racial affairs in the United States. Many assume that Obamas presidency ushers a new era post-racial America. So, I decided to read a few recent articles on the topic. The first was by Time Wise where he reflects on denial and reality in response to the question what is post-racial? (Wise, 2012). Wises article is depressing becauseRead MoreSlavery And The Civil War1706 Words  | 7 Pageshouse divided against itself. The United States were no longer united, mainly over the issue of slavery. In fact, many historians believe that, â€Å"From the nation’s founding, the issue of slavery threatened to tear the United States apart.†(â€Å"The Civil War†1). The issue of slavery was always kept at bay through the utilization of various compromises; however a permanent solution was never sought after by the government. The peoples’ perspective of slavery differed by region. In the South, the economyRead MoreRacial Ideology And The Term White Supremacy1424 Words  | 6 PagesThe term white supremacy is used to describe the racial ideology that promotes and revolves around the belief that people of white ethnicity are superior in their traits, characteristics, and attributes in comparison to other racial groups (Fredrickson, 2015). Therefore, the white race should have economic, political, and social rule over non-White individuals. There are many ideologies and schools of thought that have been used to support white supremacism; however, the majority of data is pseudoscientific
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