Online Student Alumni System free essay sample

This will solve the communication problem between school, the alumni and placement officer and the alumni. Alumni in Patters Catholic Highlights can easily access this through the use of the internet. In order to achieve this objective, the developers have developed a module that will allow users to chat with each other. Also the developers developed a form in the website that will allow them to post topics in the forums section. * To design and develop a module that will help the alumni update their personal profile, their information and their current job status online to make it accessible even without them spending much time and effort. The developers designed and developed a module that will help the alumni to update their profiles online. This can help them lessen the time in doing this ruminations because they can access the system even when they are working. The developers developed a module that allows the user to display their contact information and status. We will write a custom essay sample on Online Student Alumni System or any similar topic specifically for you Do Not WasteYour Time HIRE WRITER Only 13.90 / page Website interface The website interface is the users view see when the website is visited. The developed system has different structures such as homes, about us, forum, announcements, gallery, members, and joins us.Home Home is the main page of the website. It consists of login, register, estimate and the latest news and events. About us This contains all the information about the school alumni association. These are the history, board of director, mission, vision and the contact us. Announcements This contains all the announcements, news, upcoming events and activities posted by the alumni and placement officer. Gallery This contains the photos of activities which involve the alumni of the said school. Profile This contains all the information regarding the alumni.

What are the main differences between Sikhism and Jainism Essays

What are the main differences between Sikhism and Jainism Essays What are the main differences between Sikhism and Jainism Paper What are the main differences between Sikhism and Jainism Paper Essay Topic: Religion Jainism is a religion of severity. Its goal is passionless detachment, reached only through the most severe and disciplined lifestyles, culminating in death by voluntary self-starvation. The aim is to achieve the goal solely by self-effort without the help of God or gods; Although these self-imposed austerities often include benefit for others. Jains have long been active in promoting public welfare. They are known especially for their endowment of schools and hospitals for people and animals. Ahimsa meaning non-violence is the basis of Jainism. Sikhism based on a loving and ever-present God experience in the here and now is much less concerned with other worldliness. The stress is on this life, this existence and achievement of a state of physical/spiritual equipoise through constant engagement in the Divine Being (Naam). The Sikh religion is perceived as possessing two basic features, one being a mystical aspect the other more aggressive, military and world affirming. Jains constitute what is the only major religion in the world that is unconditionally vegetarian. The Sikh book of Laws, the Rehat Meryada only rejects the eating of meat which is halal-or kosher. The focal point of worship is different between the two religions. Jainisms rejection of God does not entail rejection of prayer and worship-contemplation. Jains contemplate on images of Lord Mahavir (meaning Great Hero) or other Jainas- (previous Tirathankaras). The Sikhs pray on the teachings of their eternal guru, the living guru, Guru Granth Sahib and their ten masters before. This is not worshipped as a holy book It is the knowledge therein that the Sikh adopts into his way of life. Ultimately for a Sikh, God id the profound realisation based on mature reflection of saints and prophets regardless of their religion, caste, class or status in human society. Jains do not believe in a creator God you are the controller of your destiny as in the laws of physics. The meditative focus of the Jains is on the inner light or the Tirathankaras (ones who reached salvation). They believe in energy having its own intelligence the theory of evolution. In Jainism there is no concept of a holy book. It was only introduced when the British courts of Law in their time in India, required one for oath taking procedures. It was at this time that the Kalpasutra containing a biography of Lord Mahavira written by a monk called Bhadrabahu, after the demise of Mahavira. This is one of 45 books of his writings on logic, universe, code of conduct etc. Mahavira and the other unorthodox teachers of his age were primarily interested in seeking liberation from the wheel of rebirths. Sikhs believe in there being a God without parallel and meditate on the One who is the Absolute Truth a formless God. Sikhism promotes belief in the Grace of God. They believe that God may forgive and pardon humans for their sins and wrongs Sikhs believe in a loving God. Jains talk about forgiveness without involving God in it. Sikhism is theistic (believe in God) and Jainism is atheistic (dont believe in Gods existence). Jains observe fasting during the festival of Paryushan/ Samtsari. Sikhism does not sanction any kind of fasting. Explain the main beliefs/ teachings of Jainism, comparing where appropriate, with the teachings of Sikhism (own faith) Jainism is a non-Vedic Indian religion (they do not believe in the teachings of the Vedas). The Vedic religions accept the authority of the Vedas and Vedic literature (Hinduism). Whereas Jainism accepts the authority of its own Agamas and Agamas literature- Holy Scriptures, Jainism completely rejects the notion of a creator God, an external entity. Jainism is a representation f the Sramanic culture. Jainism is humanistic in its approach and spiritualistic in its depth. Religious fervour and moral earnestness are closely associated and subscribe to the view Religion if taken seriously and rationally will be deeply moral, but it is not morality. Sikhism is a whole life socio-political religion. Its aim is to uplift the personal lives of individuals to a higher social and spiritual levels. Sikhism believes in the Oneness of God, a formless God and teaches against idol worship in any form. Jainism promotes belief in worship of a living god as Mahavir and other Tirathankaras, though they do not idolise these saintly figures. Jains worship the idea of attaining a god-like status within themselves. Jains do not believe that the universe has been created by a super-being and adopt belief in the scientific theory of the Big-Bang, laws of physics energy having its own intelligence- theory of evolution. There are similarities like setting aside a portion of ones earnings towards charity and welfare of the creation and faith. Sikhism places great importance on the underlying spirit (dharam) of religion, which is the recognition and dedicated pursuance of ones duty in life. Jainism is close to this ideal although it is much more prescriptive. Jainism occupies itself with a religious outlook: 1 The nature of the self 2 The goal of human pursuance 3 The doctrine of karma 4 The meaning of spiritual awakening 5 The incentives to a spiritual life 6 The performance of spiritual exercises such as control of five senses. The Sikh way of life relies on truthful conduct and a short formal code of discipline- Rehat Meryada, based on some basic injunctions issued by the Tenth guru, Guru Gobind Singh. The Sikhs seek daily guidance from the Word Guru, the eternal Guru, Guru Granth Sahib and the teachings therein. Sikhism believes in the existence of one Omnipotent reality called Waheguru. Jainism does not promote belief in a creator, they worship the idea of attaining god-like status within themselves. The Jain mysticism turns around two concepts Self ( atmaan) and higher Self (Paramatmaan). Each soul is a potential god i.e. Paramatmaan. As soon as the karmic limitations are removed the self realises its real nature and a state of pure perfection. Now the various innate capacities of the soul find their full expression and the soul exhibits its potential divinity. Mahavira is the figure behind Jainism-believed to be the 24 Tirathankar-Ford maker in the current era of cosmic decline. He found salvation and became a completed soul, Kevalin and conqueror Jina. The name Jain is derived from Jina.Mahavir taught for 30 years before passing away at Pava,near Patna in Bihar. Mahavir was much more of a rationalist than the Brahaminists He rejected revelation and based his religious scheme on logic and experience. He accepted the somewhat pessimistic view of the human situation and was concerned for release. As he saw the situation, the human soul was enmeshed in matter and could only gain liberation through losing its accumulation of actions and their consequences. At the heart of the Sikh religion lies the idea of the guru. God is perceived to be the true Guru-his divine and creative Word(Shabad) came to mankind in a distinctive way through ten historical figures each of whom was called a guru. God is one, the ultimate and eternal guru(satguru) who provides enlightenment and understanding for the disciple, by his own Grace. In is transcendent state he is beyond description. Gods grace enables sincere devotees to experience Him through worship and meditation. In its origin the sikh religion possesses a strong mystical and devotional basis. For Jains the Three Jewels to attain salvation are * Right knowledge * Right faith * Right conduct Right knowledge comes through the Jain creed, Right faith through believing in it and Right conduct through following it. The first two are worthless without the last so Jain monks and nuns, laymen and laywomen take vows of right conduct, the most important and all embracing of which is non-violence. For the sikh way of life,the founder of Sikhism taught the practice of truthful living * Kirt karo earn your living by honest means * Naam Jap meditate on the Oneness of God, One Absolute Truth * Vand shakna share your earnings with the needy. A3: Discuss the main beliefs on Jainism comparing them with the fundamental beliefs of Sikhism. (includes main vows) The four classes recognised by Jains are different to the quadruple division of society of the Vedic religion. The basis of division of classes in Jainism not birth but conduct. The divisions are known as 1. Sramanas monks ) homeless mendicants 2. Sramanis nuns ) 3. Sravakas laymen ) householders 4. Sravikas laywomen ) Jainism gives full freedom to all human beings to observe the vows. It provides equal opportunity to all persons to practice self discipline according to their capacity. The observers of vows are divided into two broad categories-ascetics and lay people. The ascetic observes great vows Mahavratas since he/she ceases completely from violence. The lay votary practices small vows Anuvratas in as much he/she desists partially from violence etc. Hence the ascetic vows are complete or great whereas the lay-votarys vows are partial or small. E.g. The lay votary is forbidden to commit gross violence i.e. destruction of higher forms of life those with more than one sense organ But the ascetic is prohibited to commit subtle violence also i.e. taking of lower forms of life beings with one sense organ. The five great vows for an ascetic are in the form of non-violence, non-truthfulness, non-stealing, celibacy, and non-possessiveness. An ascetic is also enjoined to practice the sixth vow of abstention from taking food and drink after sunset. The ascetic is also forbidden to commit any sin i.e. violence etc in any form. He is enjoined upon to refrain from all the sinful activities subtle and gross, physical, vocal, and mental. He neither commits a sin himself nor causes others to commit it; nor approves of its committal by others. The Jains accept the Hindu idea and beliefs in that the soul is always reincarnated, (reborn), and karma (deeds). In direct opposition to Buddhism, it teaches the existence of Self as a stable and external principle.

The Company under Study Essay Example | Topics and Well Written Essays - 1000 words

The Company under Study - Essay Example The company under study is a small manufacturing firm, which produces metal bead chains. This company is doing business since early 20’s and is continuing till now. It has not got a huge set up but only 20 machines, having two sets of dies which are capable of manufacturing 7 sizes of chains. The company is using brass, steel and stain-less steel as raw material and has additional facilities like own die production, a computer numerical control machine for production of dies. They also have special machines for packaging of units. The company possesses an experienced production manager with an experience of 18 years. It has also a well experienced technical manage, 3 die makers, 4 setters with 4 helpers.  While carrying out the case study, following problems can be identified, which are related to the firm in one way or the other: Under utilization of production capacity. Machine stoppages due to quality problems which is a result of under maintained machineries. Manufacturing with steel and stainless steel which are harder metals and do not suite to the companies production set up and due to lack of engineering base the life of dies are minimized the repairing of which, takes an hours time by the setters which is surely a time loss. Speed of machines become slowest in making chain sin the largest size in steel and stainless steel. The quality assurance department is handled by the production manager; quality should always be separate from production. Despite of availability of production software, production plans are made by the production manager. The stock of production material is not been taken care of. A huge stock of un-plated chain has accumulated. The manager is using oil in increasing productivity. Application of software’s should be carried out planning of production instead of using past experience know how, all machine should be allocated in volume of order of different sizes of chains. The machines for manufacturing of steel and stainless steel chains should be separated so that the fast production of brass chains does not get hampered. Quality issues should not be handled by a production manager as the production manager is responsible for executing production that is higher number of units per day and making machines reach maximum efficiency. This can make him over look the quality issues that are related to product development. The persons who are responsible for quality management should also take of material in-process.

The Architecture of Sleep and the Function of Dreams Essay

The Architecture of Sleep and the Function of Dreams - Essay Example This stage is called stage 1 or NREM sleep. Sleep spindles appear in Stage 2, as EEG further reduces; and it keeps on decreasing while the amplitude of slow waves increases during stage 3. This mixed pattern causes high amplitude delta waves in the deepest sleep or Stage 4; which is also called SWS. Shifts in posture occur; followed by REM. ‘At an interval of 90 minutes, REM/NREM phases alternate; while the NREM stages dominate the first third of the night and REM stages dominates the last third’. (McNamara, 2004, p.p 1-2) We dream during the REM phases of sleep. The dreams of the REM phase have the dream-like quality of emotional drama, fantasy, excitement, and liveliness. The dreams during the NREM phases are more like conceptual thinking and the scenes are usually taken or adapted from our everyday lives. Moreover, the dream intervals at the onset of sleep are short; and they increase in each subsequent REM-NREM cycle after every 90 minutes. The last dream could be of 30-40 minute duration. Freud believed in his Interpretation of Dreams (1911) that the basic function of dreams was wish-fulfillment. ‘We now see what this function is.

Media Advertising Essay Example | Topics and Well Written Essays - 500 words - 2

Media Advertising - Essay Example This paper delves into how media advertisement can be used to promote sales for software products. When marketing for software products I would engage in the process of developing the marketing plan required to sell the software. Research on how to market the product would cover market needs, market trends and the best mode of advertising. Since the identified marketing medium is through online selling on Facebook, the best tactic to use would be to display unique features about the product using creativity that is difficult to copy (Feltenstein, 2010).   Legal implications – when using the online advertisement, any breach of law can always be traced back and used as evidence of the case. Due to ignorance of law, many businesses suffer from this risk. Security breach – there are hackers or internet criminals who target the operations of the companies that undertake online marketing. This involves track on financial information and account details or company profile to create havoc (Smith, 2011).   Advertising on the internet serves as a good strategy to increase profits for the company or the business. Social media advertisement targets a large group of people who act as customers of such products and they lead to increased sales of the product. Many customers who deal with online products get more satisfaction because they can make the transactions using online system and they are able to get the specific product without going for window shopping. Since the customer satisfaction is high through social media due to factors like integrated marketing communication, there are more customers in social media which leads to increased sales and thus profitability (Funk, 2013).   Social media advertisement also leads to profits through reduced cost of operation. Through online advertisement, the business applies integrated marketing communication (IMC) which involves combining all aspects of marketing such as sales promotion, public

Performance Enhancement for Robot Localization

Performance Enhancement for Robot Localization Performance Enhancement for Robot Localization and Fault Minimization Using Alternative Least Square Machine Learning Technique ABSTRACT Machine learning tools are used for specific applications. The purpose is to investigate proper machine learning tools for the SFU Mountain data-set. Impact: Revealing the appropriate machine learning tools will guide us to build a better data model. We are conducting semi-structured woodlands for fault diagnosis of how environmental variables affect the availability of important robotic services. Using a modeling framework, we are creating future scenarios of robotic service availability based upon local knowledge and climate projections. In addition, we are developing models derived from inputs to compare and potentially combine with local knowledge inputs. This allows us to assess, from several perspectives, how a critical component of community flexibility cans revolution in the future. Perfect productivities will be used to simplify deliberations in the groups on variation options that could minimize the negative consequences while seizing upon positive opportunities. Keywords: Sfu-mountain, ALS, fault diagnosis etc. I.INTRODUCTION This paper considers the problem of recognizing locations based on their appearance. This problem has recently received attention in the context of large-scale global localization [Schindler et al., 2007] and loop-closure detection in mobile robotics [Ho and Newman, 2007]. We progresses the state of the art by developing a principled probabilistic framework for robotics algorithms for long-term deployment. Unlike many existing systems, our approach is not limited to localization we are able to decide if new observations originate from places already in the map, or rather from new, previously unseen places. This is possible even in environments where many places have similar sensory presence (a problem known as perceptual aliasing). Our system effectively learns a model of the common objects, which allows us to improve inference by reasoning about which sets of features are likely to appear or disappear. We present results which demonstrate that the system is capable of recognizing pl aces while rejecting false matches due to perceptual aliasing even when such observations share many features. The approach also has reasonable computational cost fast enough for online loop closure detection in realistic mobile robotics difficulties where the plot covers numerous thousand places. We establish our scheme through identifying loop conclusions over a 4km path length in an initially-unknown outdoor environment, where the system detects a large fraction of the loop closures without false positives. A calibrated sensor If you have a sensor or instrument that is known to be accurate. It can be used to mark position interpretations for evaluation. Best laboratories will have devices that have been standardized beside and documentation including the specific reference alongside that they were regulated, as well as several improvement issues that need to be functional to the output. B. Trail environment Relatively few researchers have focused on the needs, trail location predilections, and involvements of the mountain biker. This research gives recreation supply managers with data that can prompt modification in the method they observe how trail environments should be managed. In one of the few comprehensive studies of mountain biker preferences for recreational settings and experiences, Cessford (1995) in a study for the Department of Conservation, New Zealand, measured altered users and their near of involvement about desired setting issues, trail types, trail conditions, downhill and uphill preferences, and social encounters. Major results presented that there was a relationship between biker preference and level of experience. For example, novice bikers preferred smooth, open, or clear trails and had low preference for obstacles and carrying bikes on sections not feasible for biking. II. Literature survey Jake Bruce, Jens Wawerla and Richard Vaughan [1] they have taken a dataset which are based on measured, coordinated and ground truth- aligned of woodland trail navigation in semi organized shifting outdoor surroundings. The dataset is projected to support the growth of ground in robotics procedures for long-term arrangement in challenging outside situations. It takes total time more than 8 hours for trail navigation, with more accessible in the upcoming as the location variations. The data contain of interpretations from adjusted and coordinated sensors functioning at 5 Hz to 50 Hz in the form of color stereo and gray scale monocular camera images, perpendicular and push-broom laser scans, GPS sites, wheel odometry, inertial sizes, and atmospheric density standards. Dudek Jugessur [2] proposed an appearance-based navigation which is long history inside robotics; there has been substantial expansion in this field in last 5 years. Appearance-based navigation and loop closing recognition schemes working on routes on the instruction of a few kilometers in length are now common. Certainly, place detection schemes comparable in character to the one labeled here is now used equal in single-camera SLAM organizations intended for small scale uses in (Eade Drummond, 2008) [3]. In real time application of these schemes on the scale of tens of kilometers or new has too initiated to be possible. For example, in (Milford Wyeth, 2008) a scheme employing a set of naturally stimulated approaches accomplished effective loop closing recognition and plotting in an assembly of more than 12,000 images from a 66 km route, with processing time of less than 100 ms per image. The appearance-recognition element of the scheme was built on direct pattern matching, so sca led linearly with the size of the location. Working at a comparable scale, Bosse and Zlot define a place identic classification built on distinctive key points removed from 2-D lidar data (Bosse Zlot, 2008) [5] and prove good precision-recall performance over an 18 km suburban data set. Cummins Newman, 2009 [6], they established loop closure recognition on a 1,000 km path, using a type of FAB-MAP which used to an inverted index structural design. One latest research is the improvement of combined schemes which syndicate appearance and metric data. Olson [7] defined a method to increasing the robustness of overall loop closure detection schemes by using both appearance and comparative metric information to choose a single dependable set of loop closures from a bigger no. of applicants (Olson, 2008). The technique was assessed over numerous kilometers of urban data and shown to improve high precision loop closures even with the use of artificially poor image features. More loosely joined systems have also newly labeled in (Konolige et al., 2009; Newman et al., 2009). Significant applicable work also occurs on the more limited problem of overall localization. II.PROBLEM STATEMENT The data are highly challenging by virtue of the self-similarity of the natural terrain; the strong variations in lighting conditions, vegetation, weather, and traffic; and the three highly different trails. In contrast, we traverse challenging semi structured woodland trails, resulting in data useful for evaluating place recognition and mapping algorithms across changing conditions in natural terrain. III. PROPOSED IMPLEMENTATION Interestingly, optimizing the posterior probability therefore amounts to optimizing the likelihood function *plus* another term that depends only on the parameters. The posterior probability objective function turns out to be one of a class of so-called penalized likelihood functions where the likelihood is combined with mathematical functions of the parameters to create a new objective function. Dataset The SFU Mountain Dataset involves of numerous 100 GB of sensor data verified from Burnaby Mountain, British Columbia, Canada. Each traversal covers 4km of woodland trails with a 300m altitude change. Recordings contain complete video since 6 cameras, collection data from two LIDAR sensors, GPS, IMU and wheel encoders, plus calibration parameters for each sensor, and we provide the data in the form of ROS bag files, JPEG image files, and CSV text files. Jake Bruce, Jens Wawerla, and Richard Vaughan. The SFU Mountain Dataset: Semi-Structured Woodland Trails Under Changing Environmental Conditions, in IEEE Int. Conf. on Robotics and Robotics, Factory on Visual Place Acknowledgment in Varying Surroundings. Seattle, USA, 2015. Proposed Approach Flow Alternating Least Square (ALS) Machine Learning Alternating Least Squares starts by rotating between fixing one two coordinate for matrix dimension ui or vj that can be computed by solving the least-squares problem. This approach is handful as it improves the previous non-convex problem into a quadratic that can be solved easily [9]. A general description of the algorithm for ALS algorithm for collaborative filtering taken from Zhou et. al [11] is as follows: Step 1: Initializing matrix V by allocating the average rating for that motion as the first row, and then for the small random numbers of the remaining entries. The least squares simply adding up the squared differences between the model and the data.   Minimizing the sum of squared differences leads to the maximum likelihood estimates in many cases, but not always.   One good thing about least squares estimation is that it can be applied even when your model doesnt actually conform to a probability distribution (or its very hard to write out or compute the probability distribution).One of the most important objective functions is the so-called posterior probability and the corresponding Maximum-Apostiori-Probability or MAP estimates/estimators. In contrast to ML estimation, MAP estimation says: choose the parameters so the model is most probable given the data we observed. Now the objective function is P(theta|X) and the equation to solve is As you probably already guessed, the MAP and ML estimation problems are related via Bayes theorem, so that this can be written as Once again, it is convenient to think about the optimization problem in log space, where the objective function breaks into three parts, only two of which actually depend on the parameters. Step 2: Fix V, solve U by minimizing the RMSE function. Step 3: Fix U, solve V by minimizing the MSE function similarly. Step 4: Repeat Steps 2 and 3 until convergence. Development tool The raw data development kit provided on the Autonomy Lab / SFU Mountain Dataset contains MATLAB demonstration code with file which gives further details. Here, we will briefly discuss the most important features. Before running the scripts, steps are: Step 1: Read curves points from the Excel file Step 2: Extract Row Co-ordinate and column too Step 3: Define fault rate Step 4: fault Detected Parameter Machine// Compute current from voltage vector Step 5: Do coerce to limit extrap values to positive values Step 6: fault Detection rate minimization as per coverage distance Step 7: Define sigmoid function regularization for numerical stability Step 8: Define bernoulli probability weight matrix response update Step 9:check convergence Step 10: compute MSE V.RESULT In this section we present results showing sample trajectory matches, fault detection rate and MSE on results plots. The current implementation has ALS optimization built in, so compute scales linearly with the length of the dataset. For all experiments, computation was performed at real-time speed or faster on a standard Intel Core i7 PC. We have evaluated our system with the public datasets from the [1] Project. The data were collected by a robotic platform in static and dynamic indoor, outdoor and mixed environments. Figure 5.1: initial robot position in equilibrium state. Above figure 5.1, the static position for robot 21.15 mm with 1.99-time slot fixing the pointer location having dynamic stages assign to each tracking region. Figure 5.2: Robot define fix counter to each direction and tracking target position with dynamic localization in green lines. Figure 5.3: robot coverage distance divide region in track and make define position of laser range at 360o  Ãƒâ€šÃ‚  Ãƒâ€šÃ‚   Above figure 5.3 specification the counter stage as per rotated angle and capture each laser to minimization and tolerate skipping factor from 6.5 -9 micro meter in 0.96 millisecond timing. Figure 5.4: Fault detection rate minimization as per coverage distance over Energy level Above figure 5.4, the model of 200 mm distance with weather circumstances at 25oC having least fault detection rate i.e. 1.19, if we raise coverage or laser range of robot with same angle as previous weather circumstances meanwhile fault detection rate get highly maximized with same energy level or battery power of our robot configuration. Figure 5.5: MSE vs iteration for least square machine learning for faults Abovefigure 5.5, specification our proposed approach if raised no of dimension with same angular rotation of expert system means square error improving, hence minimum mean square error rate with 4- dimension of same iteration for our approach. iteration Fault minimization Rate 1 1.483500 2 1.034048 3 0.791479 4 0.340193 5 0.044917 6 0.000661 7 0.000000 The ALS method for computing correspondences, since they proved effective under several kinds of environments in the training datasets. In Fig. 5.5 we show the MSE curves obtained for our proposed simulation part which implemented in MATLAB tool with these parameters, we achieved a low MSE rate in the datasets with no false positives at dimension 4. In order to check the reliability of our algorithm with datasets, we used MATLAB as evaluation datasets. For these, we used our algorithm as a ALS, with the default configuration given above and the same vocabulary. This test shows that our method can work fine out of the box in many environments and situations, and that it is able to cope with sequences of images taken at low or high frequency, as long as they overlap. VI.CONCLUSION In this work, our proposed simulation of robot self-localization and utilizing all dimension and transferring position towards fix position by using a Alternate least square method. Our strategy is to create a visual experience for the library of raw visual images collected in different domains, to discover the appropiate visual patterns that clearly depicts the input scene, and use them for scene retrieval. In particular, we also showed that the appearance of the pose of the mined visual patterns, user laser range with tracking all coordinate with 360 degree which are matched with those of the database scenes by employing image-to-class distance and spatial pyramid matching. In future , the quadrate can be make for floor plan for learning object finder in internet of things and applying the deep learning into it. REFERENCES [1] Jake Bruce, Jens Wawerla and Richard Vaughan The SFU Mountain Dataset: Semi-Structured Woodland Trails Under Changing Environmental Conditions Autonomy Lab, Simon Fraser University. [2] Dudek, G. and Jugessur, D. Robust place recognition using local appearance based methods. In Proceedings of IEEE International Conference on Robotics and Automation, volume 2, 2000 [3] Eade, E. and Drummond, T. Unified loop closing and recovery for real time monocular slam. In Proc. 19th British Machine Vision Conference, 2008 [4] Milford, M.J. and Wyeth, G.F. Mapping a Suburb With a Single Camera Using a Biologically Inspired SLAM System. IEEE Transactions on Robotics, 24 (5):1038-1053, 2008. [5] Bosse, M. and Zlot, R. Keypoint design and evaluation for place recognition in 2D lidar maps. In Robotics: Science and Systems Conference: Inside Data Association Workshop, 2008. [6] Cummins, M. and Newman, P. Highly scalable Appearance-only SLAM FAB-MAP 2.0. In Pro- ceedings of Robotics: Science and Systems, Seattle, USA, June 2009. [7] Olson, E. Robust and Efficient Robotic Mapping. PhD thesis, Massachusetts Institute of Technology, June 2008 [7] Konolige, K., Bowman, J., Chen, J.D., Mihelich, P., Calonder, M., Lepetit, V., and Fua, P. View-based maps. In Proceedings of Robotics: Science and Systems (RSS), 2009. [8] Schindler, G., Brown, M., and Szeliski, R. City-Scale Location Recognition. In IEEE Conference on Computer Vision and Pattern Recognition, pp. 1-7, 2007 [9]Nist ´er, D. and Stewenius, H. Scalable recognition with a vocabulary tree. In Conf. Computer Vision and Pattern Recognition, volume 2, pp. 2161-2168, 2006 [10] J ´egou, H., Douze, M., and Schmid, C. Hamming embedding and weak geometric consistency for large scale image search. In David Forsyth, Philip Torr, Andrew Zisserman (ed.), European Conference on Computer Vision, volume I of LNCS, pp. 304-317. Springer, oct 2008. [11] Y. Zhou, D. Wilkinson, R. Schreiber, and R. Pan. Large-scale parallel collaborative filtering for the netflix prize. In Proceedings of the 4th International Conference on Algorithmic Aspects in Information and Management, AAIM 08, pages 337-348, Berlin, Heidelberg, 2008. Springer-Verlag.

The Cause Of Crime Today Essay -- essays research papers

The world is not the way it was. At one time people could sleep with their windows up and doors unlocked. In today's society people have to lock their doors and close their windows. Crime is at an ultimate high, and the world is slowly falling apart. This is not the work of the older generations, it is strictly the work of generation X.   Ã‚  Ã‚  Ã‚  Ã‚  Teenagers are not what they use to be. A long time ago teenagers were loyal, respectful, and helpful to their parents, but not anymore. Today's teens live their own lives. They do what they want when they want, and they don't listen to anyone much less their parents. These teens drink, do drugs, steal, and murder. They also feel the need to be accepted by their own kinds. This is how gangs are formed.   Ã‚  Ã‚  &nb...