Proceedings of the 2019 3rd International Conference on Information System and Data Mining, 2019
In recent years, Neural Network (NN) has seen widespread and successful implementations in a wide... more In recent years, Neural Network (NN) has seen widespread and successful implementations in a wide range of data mining applications, often surpassing other classifiers. This study plans to research of NN that are a fitting classifier to foresee understudy execution from Learning Management System information with regards to Educational Data Mining. The dataset utilized for this examination is a Moodle log document containing log data around 900 understudies more than 10 college classes. To assess the applicability of Neural Networks, two case studies compare their predictive performance on this dataset. The features used for training originate from LMS data obtained during the length of each course, and range from usage data like time spent on each course page, to grades obtained for course assignments and quizzes. After training, the Neural Network outperforms all six classifiers in terms of accuracy and is on par with the best classifiers in terms of recall. We also assessed the effect course predictors have on predictive performance by leaving out the course identifiers in the data. This does not affect predictive performance of the classifiers. Furthermore, the Neural Network is trained on individual course data to assess difference in classification performance between courses. The results show that half of these course classifiers better generally trained classifiers. The importance of individual predictors used for classification was also investigated, with previously obtained grades contributing most to successful predictions. We can conclude that the proposed neural network architecture works well with the selecting the feature data sets. It seems to the results, accuracy in student performance prediction in feature vector has been achieved and satisfactory through appropriate classification to take better decision for efficient prediction of student performance.
Recent advancements in Computer Technologies have rapidly revolutionized the world. These advance... more Recent advancements in Computer Technologies have rapidly revolutionized the world. These advancements have immensely increased the need of localization of computer technologies in regional languages and for convenient natural language processing. In this paper, the problem of design and development of Unicode based digital thesaurus is discussed for Sindhi language. Sindhi is one of the oldest and richest languages of the world with a very rich linguistics and literary text. The development of digital Sindhi Thesaurus application is done on Java platform, using hash table structure to act as a database for storing word repository. The hash table structure provides a convenient and easy to implement data structure with multiple advantages of speed and ease of use. The words data is saved as a java bean object in the hash table element with the primary Sindhi word as key. The object is then retrieved and displayed on a user interface of thesaurus.
Optical character recognition is popular field for researchers during last decade of research, wh... more Optical character recognition is popular field for researchers during last decade of research, which is able to successfully recognize the scanned English image into editable text form. However, optical character systems for other regional languages such as Urdu, Arabic, and Sindhi, still presents a huge challenge and implementation problems. Thus, in this paper various techniques of optical character recognition system for such low level regional languages have been discussed and analyzed. This survey paper consolidates all such techniques and presents an overview to aid researcher understand the methodology of performing and implementing OCR system for Sindhi language.
Pakistan is currently facing huge hurdles to maintain round the clock supply of electric power in... more Pakistan is currently facing huge hurdles to maintain round the clock supply of electric power in the major areas. This makes more annoying when a short fall increase by the failure of the power transmissions and even this increases more in summer season when due to overload and high-level environmental effects of heat power transformers failure rate increases numerously. The transformers being damaged due to the over heat and high load across one or two of its three phases. Mismanagement of the power distribution causes most of the problems when a heavy power load observed on single phase whereas other phases were not equally loaded. The system design will provide a systematic solution to protect transformer and fault detection using PLC, phase monitoring and temperature sensing with power management of particular distribution and give notification through GSM and information sharing with control room/Grid station through Internet of Things (IoT). In case of overloading and heating...
The aim of this project is to design the system that can detect P-wave before the first S-wave sp... more The aim of this project is to design the system that can detect P-wave before the first S-wave spike. Typically, P-wave travel 1.68 to 1.75 times faster than S-wave. Our proposed designed device consists of a pendulum type earthquake detection device which is interconnected with fault point finder, wireless alarm, GSM kit and automatic turn off system. when P- wave strike the pendulum it activates relay and send the pulse to stimulate the wireless alarm which can be install at any place as it detects the P-waves and can save human lives as they will be aware of how to deal with this situation.
The research article focuses on the Image Compression techniques such as. Discrete Cosine Transfo... more The research article focuses on the Image Compression techniques such as. Discrete Cosine Transform (DCT) and Fast Fourier Transform (FFT). These techniques are chosen because of their vast use in image processing field, JPEG (Joint Photographic Experts Group) is one of the examples of compression technique which uses DCT. The Research compares the two compression techniques based on DCT and FFT and compare their results using MATLAB software, Graphical User Interface (GUI). These results are based on two compression techniques with different rates of compression i.e. Compression rates are 90%, 60%, 30% and 5%. The technique allows compressing any picture format to JPG format. The result shows that DCT is better technique than FFT; however the compression results are same as that of 30% compression to 5% compression reflecting not significant change in visual results excepting the file size varying to small fraction. The compression technique works fine with the images having little...
Through this research the problem of Sindhi Word Segmentation has been addressed and various tech... more Through this research the problem of Sindhi Word Segmentation has been addressed and various techniques have been discussed to solve this problem. Word Segmentation is the preliminary phase involved in any tool based on Natural Language Processing (NLP). For any system to understand the written text, it needs to be able to break it into individual tokens for processing. Sindhi being a cursive ligature based Persio-Arabic script, is quite complex and rich having large number of characters in its script with all characters having multiple glyph's based on its position in the text. In this paper Sindhi word Tokenization model has been proposed implementing various algorithms showing the process of tokenizing Sindhi text into individual words for corpus building and creating word repository for Sindhi Spell, grammar checker and other NLP applications. The problem of tokenization is resolved by first identifying the sentence boundaries and extracting each sentence into isolated list ...
International Journal of Management and Social Sciences
Pakistan is also one of such fastest growing countries where e-Government services have started m... more Pakistan is also one of such fastest growing countries where e-Government services have started modernizing the life-style of people. "e-Government has been employed by the developed as well as developing countries to be an enabler toward accelerating processes, delivering a higher level of service to citizens and businesses, increasing transparency and accountability while lowering costs but as this is very much necessary to check the preparedness of the citizen of a country to which the e-Services are being introduced. Not only preparedness but the needs and demands of citizens and their experiences of already launched e-Services do also matter to be focused. Besides this taking into account the case of any neighboring country as a model does also help a country freshly introducing the e-Services. INTRODUCTION The twenty first century has been named as "the century of scientific revolution". Hence it is common in this era that people have to look beyond the common h...
Proceedings of the 2019 3rd International Conference on Information System and Data Mining, 2019
In recent years, Neural Network (NN) has seen widespread and successful implementations in a wide... more In recent years, Neural Network (NN) has seen widespread and successful implementations in a wide range of data mining applications, often surpassing other classifiers. This study plans to research of NN that are a fitting classifier to foresee understudy execution from Learning Management System information with regards to Educational Data Mining. The dataset utilized for this examination is a Moodle log document containing log data around 900 understudies more than 10 college classes. To assess the applicability of Neural Networks, two case studies compare their predictive performance on this dataset. The features used for training originate from LMS data obtained during the length of each course, and range from usage data like time spent on each course page, to grades obtained for course assignments and quizzes. After training, the Neural Network outperforms all six classifiers in terms of accuracy and is on par with the best classifiers in terms of recall. We also assessed the effect course predictors have on predictive performance by leaving out the course identifiers in the data. This does not affect predictive performance of the classifiers. Furthermore, the Neural Network is trained on individual course data to assess difference in classification performance between courses. The results show that half of these course classifiers better generally trained classifiers. The importance of individual predictors used for classification was also investigated, with previously obtained grades contributing most to successful predictions. We can conclude that the proposed neural network architecture works well with the selecting the feature data sets. It seems to the results, accuracy in student performance prediction in feature vector has been achieved and satisfactory through appropriate classification to take better decision for efficient prediction of student performance.
Recent advancements in Computer Technologies have rapidly revolutionized the world. These advance... more Recent advancements in Computer Technologies have rapidly revolutionized the world. These advancements have immensely increased the need of localization of computer technologies in regional languages and for convenient natural language processing. In this paper, the problem of design and development of Unicode based digital thesaurus is discussed for Sindhi language. Sindhi is one of the oldest and richest languages of the world with a very rich linguistics and literary text. The development of digital Sindhi Thesaurus application is done on Java platform, using hash table structure to act as a database for storing word repository. The hash table structure provides a convenient and easy to implement data structure with multiple advantages of speed and ease of use. The words data is saved as a java bean object in the hash table element with the primary Sindhi word as key. The object is then retrieved and displayed on a user interface of thesaurus.
Optical character recognition is popular field for researchers during last decade of research, wh... more Optical character recognition is popular field for researchers during last decade of research, which is able to successfully recognize the scanned English image into editable text form. However, optical character systems for other regional languages such as Urdu, Arabic, and Sindhi, still presents a huge challenge and implementation problems. Thus, in this paper various techniques of optical character recognition system for such low level regional languages have been discussed and analyzed. This survey paper consolidates all such techniques and presents an overview to aid researcher understand the methodology of performing and implementing OCR system for Sindhi language.
Pakistan is currently facing huge hurdles to maintain round the clock supply of electric power in... more Pakistan is currently facing huge hurdles to maintain round the clock supply of electric power in the major areas. This makes more annoying when a short fall increase by the failure of the power transmissions and even this increases more in summer season when due to overload and high-level environmental effects of heat power transformers failure rate increases numerously. The transformers being damaged due to the over heat and high load across one or two of its three phases. Mismanagement of the power distribution causes most of the problems when a heavy power load observed on single phase whereas other phases were not equally loaded. The system design will provide a systematic solution to protect transformer and fault detection using PLC, phase monitoring and temperature sensing with power management of particular distribution and give notification through GSM and information sharing with control room/Grid station through Internet of Things (IoT). In case of overloading and heating...
The aim of this project is to design the system that can detect P-wave before the first S-wave sp... more The aim of this project is to design the system that can detect P-wave before the first S-wave spike. Typically, P-wave travel 1.68 to 1.75 times faster than S-wave. Our proposed designed device consists of a pendulum type earthquake detection device which is interconnected with fault point finder, wireless alarm, GSM kit and automatic turn off system. when P- wave strike the pendulum it activates relay and send the pulse to stimulate the wireless alarm which can be install at any place as it detects the P-waves and can save human lives as they will be aware of how to deal with this situation.
The research article focuses on the Image Compression techniques such as. Discrete Cosine Transfo... more The research article focuses on the Image Compression techniques such as. Discrete Cosine Transform (DCT) and Fast Fourier Transform (FFT). These techniques are chosen because of their vast use in image processing field, JPEG (Joint Photographic Experts Group) is one of the examples of compression technique which uses DCT. The Research compares the two compression techniques based on DCT and FFT and compare their results using MATLAB software, Graphical User Interface (GUI). These results are based on two compression techniques with different rates of compression i.e. Compression rates are 90%, 60%, 30% and 5%. The technique allows compressing any picture format to JPG format. The result shows that DCT is better technique than FFT; however the compression results are same as that of 30% compression to 5% compression reflecting not significant change in visual results excepting the file size varying to small fraction. The compression technique works fine with the images having little...
Through this research the problem of Sindhi Word Segmentation has been addressed and various tech... more Through this research the problem of Sindhi Word Segmentation has been addressed and various techniques have been discussed to solve this problem. Word Segmentation is the preliminary phase involved in any tool based on Natural Language Processing (NLP). For any system to understand the written text, it needs to be able to break it into individual tokens for processing. Sindhi being a cursive ligature based Persio-Arabic script, is quite complex and rich having large number of characters in its script with all characters having multiple glyph's based on its position in the text. In this paper Sindhi word Tokenization model has been proposed implementing various algorithms showing the process of tokenizing Sindhi text into individual words for corpus building and creating word repository for Sindhi Spell, grammar checker and other NLP applications. The problem of tokenization is resolved by first identifying the sentence boundaries and extracting each sentence into isolated list ...
International Journal of Management and Social Sciences
Pakistan is also one of such fastest growing countries where e-Government services have started m... more Pakistan is also one of such fastest growing countries where e-Government services have started modernizing the life-style of people. "e-Government has been employed by the developed as well as developing countries to be an enabler toward accelerating processes, delivering a higher level of service to citizens and businesses, increasing transparency and accountability while lowering costs but as this is very much necessary to check the preparedness of the citizen of a country to which the e-Services are being introduced. Not only preparedness but the needs and demands of citizens and their experiences of already launched e-Services do also matter to be focused. Besides this taking into account the case of any neighboring country as a model does also help a country freshly introducing the e-Services. INTRODUCTION The twenty first century has been named as "the century of scientific revolution". Hence it is common in this era that people have to look beyond the common h...
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