Saturday, January 25, 2020
Evaluating Path Queries Over Updated Route Collection
Evaluating Path Queries Over Updated Route Collection EVALUATING PATH QUERIES OVER FREQUENTLY UPDATED ROUTE COLLECTION Miss S. Deepa, Mr M. Baskar ABSTRACT The recent advances in the infrastructure of Geographic Information Systems (GIS), and the proliferation of GPS technology, have resulted in the abundance of geo-data in the form of sequences of points of interest (POIs), waypoints etc. To sets of such sequences as route collections. The path queries on frequently updated route collections: given a route Collection and two point’s ns and nt, a path query returns a path, i.e., a sequence of points that connects ns to nt. The introduce two path query evaluation paradigms that enjoy the benefits of search algorithms (i.e., fast index maintenance) while utilizing transitivity information to terminate the search sooner. Efficient indexing schemes and appropriate updating procedures are introduced. An extensive experimental evaluation verifies the advantages of our methods compared to conventional graph-based search. Keywords: GIS, RTS, MRSE, Data Mining, GPS. 1. INTRODUCTION Data mining is the process of analyzing data from different perspectives and summarizing it into useful information. The data mining algorithms need to process large amounts of data, the desired patterns has to be found under acceptable computational efficiency limitations. The main goal of data mining is to discover new patterns for the users and to interpret the data patterns to provide meaningful and useful information for the users. Data mining has widely use in various do mains such as medical, healthcare, higher education, telecommunication etc. Databases today can range in size into the terabytes more than 1,000,000,000,000 bytes of data. Within these masses of data lies hidden information of strategic importance. But when there are so many trees, how do you draw meaningful conclusions about the forest? The newest answer is data mining, which is being used both to increase revenues and to reduce costs. The potential returns are enormous. innovative organizations worldwide are already using data Mining to locate and appeal to higher-value customers, to reconfigure their product offerings to Increase sales, and to minimize losses due to error or fraud. Data mining is a process that uses a variety of data analysis tools to discover patterns and Relationships in data that may be used to make valid predictions. The first and simplest analytical step in data mining is to describe the data summarize its statistical attributes (such as means and standard deviations), visually review it using charts and graphs, and look for potentially meaningful links among variables (such as values that often occur together). As emphasized in the section on the data mining process, collecting, exploring and selecting the right data are critically important. But data description alone cannot provide an action plan. The must build a predictive model based on patterns determined from known results, then test that model on results outside the original samples. 1.1 OVERVIEW OF ROUTE COLLECTION Updating Route Collections The case when new routes are added in the collection, while addresses deletions. The all index structures are stored as inverted file on secondary storage. To handle frequent updates, we perform lazy updates, deferring propagation of changes to the disk by maintain additional information in main memory. Then, at some time, a batch update process reflects all changes to the disk resident indices. Insertions are handled by merging memory-resident information with disk-based indices, while deletions require rebuilding of the affected lists. Routes of Database THE LINK TRAVERSAL SEARCH PARADIGM Although the algorithms of Section 3 perform fewer iterations than conventional depth-first search on the route collection graph GR, they share three shortcomings. First, they perform redundant iterations by visiting non-links. To understand this, consider that the current search node is not a link and belongs to a single route. Further, assume that the algorithm has visited which is the link immediately before. Observe that if the termination condition does not hold at then it neither holds. To make matters worse, retrieving routes is pointless as it contains a single route in which all nodes after are already in the stack. The second shortcoming is that the termination check is expensive. For current search node, recall that both RTS and RTST retrieve lists routes and routes from R-Index, while RTST additionally retrieves all lists transfrom T -Index for each included in routes. This cost is amplified by the number of iterations, as the algorithms perform the check for every node popped. The final shortcoming is due to the traversal policy. For each route that the current search node belongs to, the algorithms insert into the stack route subsequences that contain a very large number of nodes. This increases the space requirements of Q (and consequently of sets H, A). More importantly, however, some of these nodes may never be visited, which results to redundant I/Os incurred to retrieve them. A good model should never be confused with reality (you know a road map isn’t a perfect representation of the actual road), but it can be a useful guide to understanding your business. The final step is to empirically verify the model. For example, from a database of customers who have already responded to a particular offer, you’ve built a model predicting which prospects are likeliest to respond to the same offer. 2. LITERATURE SURVEY P.Bouros, S.Skiadopoulos, T.Dalamagas, D.Sacharidis, and T.K.Sellis. The propose a novel framework, called Mobile Commerce Explorer (MCE), for mining and prediction of mobile users’ movements and purchase transactions under the context of mobile commerce. To our best knowledge, this is the first work that facilitates mining and prediction of mobile users’ commerce behaviors in order to recommend stores and items previously unknown to a user. The perform an extensive experimental evaluation by simulation and show that our proposals produce excellent results. T. H. Cormen, C. E. Leiserson, R. L. Rivest, and C. Stein Searching temporal patterns on personal histories that have hundreds or thousands of events with tens of thousands of histories in a database can take a long time. Our experience in building a query interface extension for Amalgam revealed some performance problems using SQL. A temporal pattern query in SQL is not feasible for the hospital’s database of thousands of patients because of prohibitively high number of self-join operations. Only after building additional indices and preprocessing (which it can take hours) could a temporal pattern query be managed Even so, the running time increases exponentially with the number of elements in the pattern. J. Cheng, J. X. Yu, X. Lin, H.Wang, and P. S. Yu To consider path queries on frequently updated route collections: given a route collection and two points ns and nt, a path query returns a path, i.e., a sequence of points, that connects ns to nt. We introduce two path query evaluation paradigms that enjoy the benefits of search algorithms (i.e., fast index maintenance) while utilizing transitivity information to terminate the search sooner. Efficient indexing schemes and appropriate updating procedures are introduced. An extensive experimental evaluation verifies the advantages of our methods compared to conventional graph-based search. 3. ALGORITHM FILTER ALGORITHM Input: D (F0, F1 Fn−1) // a training data set with N features S0 // a subset from which to start the search ÃŽ ´ // a stopping criterion Output: Sbest // an optimal subset step1: begin step2: initialize: Sbest = S0; step3: ÃŽ ³best = eval (S0, D, M); // evaluate S0 by an independent measure M step4: do begin step5: S = generate (D); // generate a subset for evaluation step6: ÃŽ ³ = eval(S, D, M); // evaluate the current subset S by M step7: if (ÃŽ ³ is better than ÃŽ ³best) step8: ÃŽ ³best = ÃŽ ³; step9: Sbest = S; step10: end until (ÃŽ ´ is reached); step11: return Sbest; step12: end; 4. EXPERIMENTAL RESULT This section presents a detailed study of all algorithms introduced. This Section details the setting, while evaluate index construction, querying and index maintenance, respectively, of all methods. EXPERIMENTAL SETUP The route traversal methods, RTS and RTST, and the link traversal algorithms, LTS, LTST and LTS-k. To gauge performance we compare against conventional depth-first search (DFS) on the reduced routes graph GR. All algorithms are written in C++ and compiled with the evaluation is performed on a 3 GHz Intel Core 2 Duo CPU with 4GB RAM running Debian Linux. We generate synthetic route collections varying the following parameters: The number of routes in the collection, |R|, The route length, The number of distinct nodes in the routes, |N|, and The links/nodes ratio. In each experiment, we vary one of the parameters while we keep the others to their default values. EVALUATING PATH QUERIES The efficiency of the proposed methods for processing PATH queries. All reported values are the averages taken by posing 5,000 distinct queries. Note that in Sections all considered queries have an answer, i.e., a path exists; the case of queries with no answer is investigated in the Section. Route vs link traversal search. The route traversal search methods RTS and RTST against the basic link traversal search algorithm LTS in terms of the execution time, while varying |R|, |N| and in respectively. Varying the number of routes |R|. As |R| increases, finding a path between two nodes becomes easier. This is exhibited by RTST and LTS. In contrast, the execution time of RTS increases with |R| as it performs more iteration compared to RTST, which has a stronger termination condition, and to LTS, which only visits links. Varying the route length The same observations hold when the route length increases. The performance of RTS deteriorates faster, since, in addition to requiring more iteration, each iteration costs more, as RTS inserts in the stack longer subsequences of routes. Varying the number of nodes |N|. When |N| increases, finding a path becomes harder. The advantage of RTST over RTS decreases with |N|, because the benefit of a stronger termination condition diminishes as the total execution time is dominated by the number of iterations required. The advantage of LTS over RTS decreases because the benefit of traversing the links diminishes as each link is contained in fewer routes. Note that even for large |N|, not examined in This experiments set, RTS can never outperform LTS as they employ the same termination condition and RTS will always need more iterations than LTS. The same argument carries to RTST compared to LTST. 5. CONCLUSION AND FUTURE SCOPE The problem of evaluating path queries on large disk-resident routes collections that are frequently updated. It introduced two generic search based paradigms, route traversal search and link traversal search, that exploit local transitivity information to expedite path query evaluation. The involved index structures and their maintenance strategies are designed to cope with frequent updates The first time to define and solve the problem of multi-keyword ranked search over encrypted cloud data, and establish a variety of privacy requirements. Among various multi-keyword semantics, we choose the efficient principle of â€Å"coordinate matching†, i.e., as many matches as possible, to effectively capture similarity between query keywords and outsourced documents, and use â€Å"inner product similarity†to quantitatively formalize such a principle for similarity measurement. For meeting the challenge of supporting multi-keyword semantic without privacy breaches, first propose a basic MRSE scheme using secure inner product computation, and significantly improve it to achieve privacy requirements in two levels of threat models. Thorough analysis investigating privacy and efficiency guarantees of proposed schemes is given, and experiments on the real-world dataset show our proposed schemes introduce low overhead on both computation and communication. 6. REFERENCES P. Bouros, S. Skiadopoulos, T. Dalamagas, D. Sacharidis, and T. K.Sellis, â€Å"Evaluating reachability queries over path collections,†inSSDBM, 2009, pp. 398–416. E. Cohen, E. Halperin, H. Kaplan, and U. Zwick, â€Å"Reachability and distance queries via 2-hop labels,†in SODA, 2002, pp. 937–946. R. Schenkel, A. Theobald, and G. Weikum, â€Å"Hopi: An efficient connection index for complex xml document collections,†inEDBT, 2004, pp. 237–255. â€Å"Efficient creation and incremental maintenance of the hopi index for complex xml document collections,†in ICDE, 2005, pp.360–371. J. Cheng, J. X. Yu, X. Lin, H.Wang, and P. S. Yu, â€Å"Fast computation of reachability labeling for large graphs,†in EDBT, 2006, pp. 961–979. â€Å"Fast computing reachability labelings for large graphs with high compression rate,†in EDBT, 2008, pp. 193–204. R. Bramandia, B. Choi, and W. K. Ng, â€Å"On incremental maintenance of 2-hop labeling of graphs,†in WWW, 2008, pp. 845–854. R. Jin, Y. Xiang, N. Ruan, and D. Fuhry, â€Å"3-hop: a high compression indexing scheme for reachability query,†in SIGMODConference, 2009, pp. 813–826.
Friday, January 17, 2020
Analysis of Passion Diptychs
The front surface has three registers with ‘each crowned by a cusped arcade with five hanging capitals and six recreated apertures' which ‘means that the enter of each composition is aligns with a capital'. The first direct visual impression left on a beholder is that the diptych is a representation of an ordered chaos. It Is ordered because It Is systematically divided Into three registers on each wing with each register having six recreated apertures equidistant from each other and symmetric.On the contrary, it seems chaotic because unlike some other passion diptychs, each individual registers are not bordered inside (or split according to the number of apertures) to explicitly show different scenes. Instead, in most registers in his diptych, different scenes are interposed which makes an interesting narrative and, comparatively, leads to a chaotic On a good way) display In an otherwise neatly bordered and systematic diptych.This type of representation, In each composit ion, also portrays a lively sense of movement to the traditional scenes which are otherwise portrayed in an iconic style. This diptych is read left to right across the wings and from the top to the bottom without changing directions. Although it is of a ‘normal' directional impulse, the implications of reading the scenes horizontally sakes It easier and provides a potential to understand and meditate on horizontal and vertical relationships between registers.Interestingly, an absence of Interior dividers not only provides more space and therefore, more creatively but also leads to an increased scope to form thematic relationships between registers without confusion. The first register is a rather unusual start to a Passion diptych because most of them usually start with the ‘Entry Into Jerusalem' or an event that Is directly related to the death of Christ. However, both, this diptych and the â€Å"Abbreviated Passion Diptych†egging with the Resurrection of Lazaru s (fig. 1). Both the diptychs have Mary and Martha thanking Jesus for what he's done.In the Dormouse diptych, a disciple or onlooker can be seen scratching his head in bewilderment and amazed at the fact that Lazarus has resurrected. Lazarus is half out of the tomb that held him holding the cloak of Jesus, who is compassionately looking at him while Lazarus does look tired as If woken up from an unfinished sleep. This section of the first register stimulates trust and dependency because Jesus, although he's Ralston someone from he dead, is calm but also compassionate which agrees to the fact that ‘He loved Him' and shows His humanity.The next scene in the first register is the ‘Entry to Jerusalem' where a person can be seen laying down his cloak and the people ‘on the wall', which denotes people in the city watch excitedly for the entry of their Savior. Interestingly, the scale of Jesus and his disciples, and the other half- the people and larger than the people ha iling his entry. Noticeably, Jesus head is held high, Just as a king nobly receives the respect he is due while he also greets them and accepts their joyous praise.However, this is a sharp contrast from the previous scene – The raising of Lazarus – which is relatively melancholy and calm, suddenly turning to erupting praise which provides an interesting twist in the prayer of the beholder. Continuing on, the next register shows the Washing of the Apostles' Feet' . At this instant, Jesus is probably talking to Simon Peter, as is recorded in the gospel of account of John in which he is initially taken aback and refused to have his foot washed by Jesus but when Jesus insists and gives his reasoning, Peter agrees to it.The mood is very ember and to a degree, awkward, as Jesus is doing something very unexpected of a leader. Incidentally, In stark contrast to the ‘Entry to Jerusalem', where Jesus is being ushered and hailed as King with his head held high, in this scen e, Jesus' head is tilted down, and he is missing his outer garment – his cloak. In this scene, Jesus is kneeling down before his disciples, humbling himself before them and washing the dirt of their feet. To the beholder, this reminds him of the nature of Jesus, that he being God and master of the apostles, humbled himself to wash their feet.A viewer s reminded and encouraged in the fact that if Jesus showed that the way of the kingdom is serving, then he too, must serve willingly. Furthermore, unlike the previous scene where Jesus is a ‘head above' the disciples, in this register, he is placed at the same height showing that he humbled himself to their level. The third register is the event of ‘The Last Supper' which consists of two scenes : Firstly, Jesus foretelling that one of them would betray him. He is seen dipping the bread at the same time as Judas, his betrayer (Matthew 26:23). Secondly, Peter is seen leaning onJesus' breast as He breaks it to him that h e will be betrayed and in the process, be denied by Him three times. Here, ten of the disciples seem a bit merry as they enjoy a feast with Jesus. However, Judas looks at Jesus with a mix of guilt and deceitfulness while Peter has his eyes closed, visibly sad that his master is going to be betrayed and that he would deny him three times in the process. The diptych continues onto the ‘Agony in the Garden' at Statement where Jesus is praying, fearing for the punishment that he will bear, while his disciples sleep.The three disciples in front' of him are Peter, James and John while the other eight are ‘behind' Jesus. The trees are curved in order to use the available space and is shown in a smaller scale to the disciples and Jesus creating a background that helps imply that they are in a garden. This scene shows the humanity of Jesus; where he is looking up towards heaven, with his arms raised, wide awake, asking for help as he is visibly troubled. Interestingly, there is a contrast between this register and the previous one.Unlike the last supper, he disciples here are asleep and hence, to a degree, the mood is a bit dull and dreary. However, for Jesus, it is a tense night as He gains his strength from the Father. This encourages a beholder to find His strength in God through prayer when from all around support is waning, lacking or even absent. Onwards, the next register, ‘The Betrayal of Jesus' shows three scenes simultaneously with Jesus presented only one time, making an interesting Juxtaposition of various scenes in one register.In the background are two soldiers who are of a slightly lower height which ivies a more realistic sense of scale to the whole composition. Peter looks on with and Jesus has rebuked him for that act. The disciple next to Simon Peter is seen as restraining him to attack anyone else. Furthermore, the betrayer, Judas Chariot leans in to kiss Jesus while Jesus tilts his head downwards to receive the kiss. Jesus looks a t him disappointedly while Judas looks with guilt and remorse as he slowly comes to the fact that he is betraying his master and God.At the same instance, Jesus is healing Mulches who is shown writhing in pain. Onto the next scene in the same sister, Judas Chariot, overcome by his guilt hangs himself on a tree, naked, with his intestines and innards coming out. There is a burst of activity in this diptych as there are a lot of intense activities occurring simultaneously. If the previous register was tense because Jesus was apprehensive of the wrath He would take on, the scenes in this register are even tenser with almost a deceptive calmness that Jesus shows in every composition.Incidentally, this diptych has no scene representing the flagellation of Christ or the trying of Him at a counsel and goes straight ahead, after he betrayal, to the crucifixion of Jesus. In the register containing the crucifixion, two major scenes occur simultaneously. Firstly, Mary is swooning and is suppor ted by women who have come to see of her son. Secondly, a dead Jesus, flanked by Longings, the Roman soldier who pierced Jesus' side, with his spear leaning on his far shoulder, on the left side, who is convinced of his deity and on the right, Stephan, who offered Jesus sour wine to abate his pain.The soldiers flanking him and the women on the left mourn his death radiating sorrow. Moreover, this composition, in n observer, invokes a feeling of gratitude on meditation. Gratitude, because of the humanity of Jesus, who suffered a horrendous death and took on God's wrath so that all could be redeemed by God through Christ. It also stimulates praise and love when one imagines the degree of humility that Jesus underwent to do what He did on the cross. Interestingly, comparing the bottom two registers, Judas is similar to Jesus hanging on a cross as both have their heads slumped to the left.However, Chrism's torso is bare but his abdomen and loins are covered while Judas' torso is covered while his abdomen and loins are bare. Additionally, Judas' hands are turned out which is similar to the orientation of the hands of Mary, who is despairing, too. Similarly, there exists another diptych, the ‘Passion diptych in three registers (135()-75)' which in form is different from the Dormouse diptych as it has five apertures. Apart from the form of the diptych, this passion diptych varies a lot in terms of expression from the Dormouse diptych. The Dormouse diptych contains a range of emotions and passions.From somberness to Joyous rapture to an awkward tuition – it has it all. However, the ‘Passion diptych in three registers' mostly continues along without much changes in individual expressions of horror or happiness, of Joy or sadness. Additionally, unlike the Dormouse diptych, this diptych doesn't have the cruciform halo and doesn't contain scenes such as the ‘Raising of Lazarus' and ‘The Hanging of Judas'. Furthermore, this diptych also lacks difference in scale and precise proportions that distinguishes itself between a good and great diptych.For example, in the last register, the swooning Virgin is seen as tender, restfully falling into the hands of the women supporting her. However, in this Passion diptych, it seems like she's standing with her eyes closed. In conclusion, the Dormouse diptych is a wonderful piece of gothic ivory that is unrivalled not only each composition provides and produces and how the visual complexity of this diptych make the study of its images rewarding. ‘ Bibliography Lowdown, John, and John Cherry, Medieval Ivories and Works of Art: The Thomson Collection at the Art Gallery of Ontario. British Columbia: Skillet Publishing, 2008
Thursday, January 9, 2020
Analysis Of The Poem The Hound Of Heaven - 1167 Words
I did not proceed to the ingress of the seminary gingerly. Indeed, at first, I nonchalantly thought of it a pursuing a doctorate in Christian Apologetics. Those first videos of this course resonated in me staunchly. I can bellow in respect to my pursuit of a doctorate, however, the pivotal word, seminary blares like a trumpet straightaway. I have apperceived that God called me to do this for some time. However, I ascribe to the sentiment of Jonah. I supplicate to God to elect someone else. I rationalized I could consign to oblivion this invitation. I would just persevere in my path and he would forget about me. Considerably, God has a droll sense of humor. I would circumnavigate back to the same crossroads again and again and again. I reminded of the Francis Thompson’s fateful poem of The Hound of Heaven where the Lord never ceases in His hunt for him. The last parry commenced when on the television I heard a man named, Ravi Zacharias. His intellectual approach to defending Christianity inspired me to read many books on the subject of Christian Apologetics. It included taking a course from Ravi Zacharias Ministries on Christian Apologetics. However, other factors worked simultaneously on my person. Firstly, I educated some home schooled children in the subject of Biology from the Christian perspective. One of the three degrees that I hold is in Biology. I discerned the must to instruct the children to defend against the false teachings of evolution andShow MoreRelatedE.E. Cummings and his Life as a Poet Essay1967 Words  | 8 Pages This research paper is going to be about E.E. Cummings his life as a poet. How he wrote his poems the grammar he used in his poems. The rewards that E.E. Cummings got before his death. There is going to be three poems that are going to be a critical analyzed for the literary devices used and the type of poem in the three poems. 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Wednesday, January 1, 2020
Sports Nutrition The Study and Practice of Nutrition and...
Sports nutrition is the study and practice of nutrition and diet as it relates to athletic performance. It is concerned with the type and quantity of fluid and food taken by an athlete, and deals with nutrients such as vitamins, minerals, supplements and organic substances such as carbohydrates, proteins and fats. It is essential to maintain a healthy, well-balanced diet combined with athletic training to reach maximum performance potential. â€Å"Nutrient timing is a strategic approach to how much, what, and when you eat before, during and after training and competition to maximize training effects, reduce risk of injury, maintain healthy immune function, and help with recovery†(Skolnik 3). When you decide to eat in relation to when you decide to exercise is all part of the system known as nutrient timing. What, how and when you eat will all affect someone’s performance during athletic training. 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