Abstract- Ancient documents accumulate a significant amount of human heritage over time. However, many environmental factors, improper handling, and the poor quality of the materials used in their creation cause them to suffer a high degree of degradation of various types. There are lots of ancient documents which are badly degraded. It is very difficult to segment text from the document, as there is a variation between the document background and foreground. Binarization technique that addresses these issues using adaptive image contrast and its related features is highly concerned for research purpose in image processing.
The fast pace at which technology is advancing, information privacy is becoming more complex by the seconds as more data is collected and exchanged and digital dossiers are getting bigger in size. As technology gets more complicated so does the use of data. Information can be very valuable not just to the government but also corporations, companies and private players. This data collection can threaten and lead to invasion of our privacy, therefore there needs to be regulations, policy frameworks that can address these issues while safeguarding our privacy and anonymity.
Learners nurture them through practice, and then process them as single units. Chunking happens unconsciously and naturally, and is suitable for accounting L2 learning. It is worth noting that second language learners differ from first language learners in the sense that first language speakers have often developed components of chunks, which one has automatized and for using in recoding new chunks. The contributions of the frequencies of repetitions to chunking productivity are orchestrated by the fact that, when once experiences constructions of various items occupying certain positions, that enables parsing the related construction (Green,
Disputes are unavoidable. Their impact can be out of all proportion to their substance. At best they distract; at worst, they destroy relationships and businesses. Litigation is the most recognized form of dispute resolution throughout the world. Attempts have been made and continue to be made, to speed up the litigation process and to reduce the cost but litigation remains an expensive and time-consuming way to resolve disputes.
Too much data is being sent over these networks. Especially if we look into the future, where there will be billions of connected devices, the amount of data being exchanged will be uncontrollably high. Root cause: extensive growth of the Internet of Things technology 2. Latency – This is perhaps the most technical and prominent limitation of cloud computing, which is only worsening with the passing of time. Latency, which is the delay between the client request and the cloud response, can be a big pulling down factor.
On the other hand we can also see all the good technology can do. Big Data There are many different definitions for Big Data. SAS (n.d.) an analytical software company describes it as, “a popular term used to describe the exponential growth and availability of data, both structured and unstructured.” Many think Big Data just came into existence but it has been around for years. Banks, retail, advertisers have been using big data for marketing purposes. Tracking consumers’ habits in many different aspects of their life has allowed them to gear specific products in a specific manner.
These findings demonstrate that stress can reduce the capacity of working memory and that mindfulness is a successful process to diminish the perception of stress, and in turn, improve working memory capacity. These findings are similar results as Chambers et al. (2008) and emphasises that practicing mindfulness can enhance working memory
1.1. DATA MINING Data mining refers to extracting or mining knowledge from large amounts of data. Data mining has attracted a great deal of attention in the information industry and in society as a whole in recent years, due to the wide availability of huge amounts of data and the forthcoming need for turning such data into useful information and knowledge. The information and knowledge gained can be used for applications ranging from market analysis, fraud detection, and customer retention, to production control and science exploration. Data mining can be viewed as a result of the natural evolution of information technology.
For example, the way people think, act and work have made something like competition a big deal and where laws are more punishable than ever. The differences are apparent and there are too many to list, but the point is things are different today for everyone. However, two topics are frequently being distinguished for their differences the most, and that is the idea of love and self-esteem. In “Love 2.0: How Our Supreme Emotion Affects Everything We Feel, Think, Do and Become,” written by Barbara Fredrickson,
This is the major problem of opinion mining but the results are more accurate as the data is more authentic. There are three classification techniques used for solving this purpose i.e. Naïve Bayes classification, Support Vector Machine and Maximum Entropy. In Naive Bayes, models that assign class label to problem instances, represented as vectors of feature values, where the class labels are drawn from some finite set. Whereas Support Vector Machine(SVM) is a machine learning tool that is based on the idea of large margin data classiﬁcation and Maximum Entropy is rooted in information theory, the mem seeks to extract as much information from a measurement as is justified by the data's signal-to-noise