International Journal of Information Sciences and Techniques (IJIST) (original) (raw)
Papers by International Journal of Information Sciences and Techniques (IJIST)
International Journal of Information Science & Techniques (IJIST) , 2024
The International Journal of Information Science & Techniques (IJIST) focuses on information syst... more The International Journal of Information Science & Techniques (IJIST) focuses on information systems science and technology coercing multitude applications of information systems in business administration, social science, biosciences, and humanities education, library sciences management, depiction of data and structural illustration, big data analytics, information economics in real engineering and scientific problems.
This journal provides a forum that impacts the development of engineering, education, technology management, information theories and application validation. It also acts as a path to exchange novel and innovative ideas about Information systems science and technology.
![Research paper thumbnail of SUBSTRATE INTEGRATED WAVEGUIDE POWER DIVIDER, CIRCULATOR AND COUPLER IN [10-15] GHZ BAND](https://attachments.academia-assets.com/119558471/thumbnails/1.jpg)
](International Journal of Information Sciences and Techniques (IJIST), 2014
The Substrate Integrated Waveguide (SIW) technology is an attractive approach for the design of h... more The Substrate Integrated Waveguide (SIW) technology is an attractive approach for the design of high performance microwave and millimeter wave components, as it combines the advantages of planar technology, such as low fabrication costs, with the low loss inherent to the waveguide solution. In this study, a substrate integrated waveguide power divider, circulator and coupler are conceived and optimized in [10-15] GHz band by Ansoft HFSS code. Thus, results of this modeling are presented, discussed and allow to integrate these devices in planar circuits.
International Journal of Information Sciences and Techniques (IJIST), 2023
The International Journal of Information Science & Techniques (IJIST) focuses on information syst... more The International Journal of Information Science & Techniques (IJIST) focuses on information systems science and technology coercing multitude applications of information systems in business administration, social science, biosciences, and humanities education, library sciences management, depiction of data and structural illustration, big data analytics, information economics in real engineering and scientific problems.
This journal provides a forum that impacts the development of engineering, education, technology management, information theories and application validation. It also acts as a path to exchange novel and innovative ideas about Information systems science and technology.
International Journal of Information Sciences and Techniques (IJIST), 2013
Neural networks have been used successfully to a broad range of areas such as business, data mini... more Neural networks have been used successfully to a broad range of areas such as business, data mining, drug discovery and biology. In medicine, neural networks have been applied widely in medical diagnosis, detection and evaluation of new drugs and treatment cost estimation. In addition, neural networks have begin practice in data mining strategies for the aim of prediction, knowledge discovery. This paper will present the application of neural networks for the prediction and analysis of antitubercular activity of Oxazolines and Oxazoles derivatives. This study presents techniques based on the development of Single hidden layer neural network (SHLFFNN), Gradient Descent Back propagation neural network (GDBPNN), Gradient Descent Back propagation with momentum neural network (GDBPMNN), Back propagation with Weight decay neural network (BPWDNN) and Quantile regression neural network (QRNN) of artificial neural network (ANN) models Here, we comparatively evaluate the performance of five neural network techniques. The evaluation of the efficiency of each model by ways of benchmark experiments is an accepted application. Cross-validation and resampling techniques are commonly used to derive point estimates of the performances which are compared to identify methods with good properties. Predictive accuracy was evaluated using the root mean squared error (RMSE), Coefficient determination(R2), mean absolute error(MAE), mean percentage error(MPE) and relative square error(RSE). We found that all five neural network models were able to produce feasible models. QRNN model is outperforms with all statistical tests amongst other four models.
International Journal of Information Sciences and Techniques (IJIST), 2013
Term frequencies and inverse document frequencies have been successfully applied in determining w... more Term frequencies and inverse document frequencies have been successfully applied in determining weighting for document rankings. However these have been more successful in text mining and in extraction techniques used in the web. Concept mining has become increasingly popular in the research and application areas of Computer Science. This paper attempts to demonstrate the limited usage of term frequency and inverse document frequency for the application of weighting calculations for ranking documents that are based on concept quantifications. The case study considered for experiment in this paper, is based on concept terms of David Merrill’s First Principles of Instruction (FPI). Merrill’s FPI applies cognitive structures explicitly for analyzing instructional materials. Therefore it is justified that the terms categorized under each cognitive structure (or portrayal) of FPI can be taken as respective concept of that portrayal. As question papers are representative of cognitive structures in a more clear and logical way, four question papers on ‘C Language’ have been considered for the experimental study, that are detailed in this paper. Manual method has been adopted for the computation of quantities of portrayals in selected documents for the purpose of comparative study. As manual method is accurate, the values (results) are considered as benchmark values. These benchmark values are considered for comparing with normalized term frequencies that are derived (experimented) from automated extractions from the same selected documents. The study is however limited to four documents only. Conclusions are drawn from this experimental study, which will be of immense use to concept mining researchers as well as for instructional designers.
International Journal of Information Sciences and Techniques (IJIST), 2013
Learning comes through creating and applying knowledge, whilst learning increases an individual's... more Learning comes through creating and applying knowledge, whilst learning increases an individual's and organization's knowledge asset. Both e-learning and knowledge management feed off the same root: learning, improved capacity to perform work tasks, ability to make effective decisions, and positively impact the world around us. The difference between KM and e-learning is a function of time; knowledge management is dynamic, e-learning is static. As a medium, e-learning allows for the sharing of knowledge that has been tested, researched and organized. Knowledge management is much livelier. Conversations and sharing understanding happens in real time. Through KM, tacit understanding can be communicated, problems can be jointly solved, and serendipitous connections are formed. KM is chaotic, current. KM is ecology; e-learning is the architecture. E-learning courses become outdated, while KM environments are continually fresh and reflective of current activity in a field. Anyway, the strengths of the two fields need to be brought together. KM should feed into e-learning in order for the content of the "course" to remain fresh and to tap learners into a sustained knowledge environment after the course is done and e-learning should feed into the KM environment to provide easy mechanisms for organizing information in the manner that most of the people function. There‟s no doubt that converging this two technology creates bigger impact in the learning process, but our discussion is focused to justify whether the convergence creates better value or not. In the light of the discussion, the conceptual link between these two key technologies has been drawn and several related issues are discussed.
International Journal of Information Sciences and Techniques (IJIST), 2013
Bangladesh is an over populated developing country where crisis of food is a major issue, it face... more Bangladesh is an over populated developing country where crisis of food is a major issue, it faces different infrastructure problem in every sector. For Poverty Alleviation from the country we have to confirm cultivable land to increase the crop production for feeding the over population of the country. This paper focuses on the measurement of cultivable land for cultivation. The main purpose of this paper is to briefly describe how the GIS, Digital Mapping, Internet concepts and tools can effectively contribute in the modeling, analysis and visualization phases within an engineering or research project according to the crops by using object detection, object tracking and field mapping in Bangladesh. Through GIS mapping of the agricultural lands, the statistics can be made of how much land is cultivable and each year how much land we are losing. Mapping the cultivation land will tell us how much crop we have to import from other countries. Enabling real-time GIS analysis anytime, anywhere, the implementation of the GIS information to a wider aspect. Automation is the indicator of the modern civilizations. The system will benefit the food stock of the country according to the harvest. For this research we developed a new interactive system. The system will integrate with GIS project data in Google Earth, first finds highly accurate cluster images and partial images, obtains user feedback to merge or correct these digests, and then the supplementary visual analysis complete the partitioning of the data. This study was conducted at the software laboratory, Computer Science and Engineering department, Jahangirnagar University, Dhaka, Bangladesh in 2013.
International Journal of Information Sciences and Techniques (IJIST), 2013
This paper presents, an space efficient algorithm for linear time suffix array construction. The ... more This paper presents, an space efficient algorithm for linear time suffix array construction. The algorithm uses the techniques of divide-and-conquer, and recursion. What differentiates the proposed algorithm from the variable-length leftmost S-type (LMS) substrings is the efficient usage of the memory to construct the suffix array. The modified induced sorting algorithm for the variable-length LMS substrings uses efficient usage of the memory space than the existing variable length left most S-type(LMS) substrings algorithm.
International Journal of Information Sciences and Techniques (IJIST), 2013
This paper is concerned with the development of Back-propagation Neural Network for Bangla Speech... more This paper is concerned with the development of Back-propagation Neural Network for Bangla Speech Recognition. In this paper, ten bangla digits were recorded from ten speakers and have been recognized. The features of these speech digits were extracted by the method of Mel Frequency Cepstral Coefficient (MFCC) analysis. The mfcc features of five speakers were used to train the network with Back propagation algorithm. The mfcc features of ten bangla digit speeches, from 0 to 9, of another five speakers were used to test the system. All the methods and algorithms used in this research were implemented using the features of Turbo C and C++ languages. From our investigation it is seen that the developed system can successfully encode and analyze the mfcc features of the speech signal to recognition. The developed system achieved recognition rate about 96.332% for known speakers (i.e., speaker dependent) and 92% for unknown speakers (i.e., speaker independent).
International Journal of Information Sciences and Techniques (IJIST), 2013
This paper gives an introduction on the IEEE 802.16 standard – WIMAX or Worldwide Interoperabilit... more This paper gives an introduction on the IEEE 802.16 standard – WIMAX or Worldwide Interoperability for Microwave Access. The different parts give details on the architectural specifications of WiMAX networks and also on the working principle of WiMAX networks including its services provided. It also provides brief descriptions on its salient features of this technology and how it benefits the networking industry. A brief outline of the basic building blocks or equipment of WiMAX architecture is also provided. This paper also evaluates the simulation performance of IEEE 802.16 OFDM PHY layer. The Stanford University Interim (SUI) channel model under varying parameters is selected for the wireless channel in the simulation. The performance measurements and analysis was done in simulation developed in MATLAB.
International Journal of Information Sciences and Techniques (IJIST), 2013
OCR has been an active research area since last few decades. OCR performs the recognition of the ... more OCR has been an active research area since last few decades. OCR performs the recognition of the text in the scanned document image and converts it into editable form. The OCR process can have several stages like preprocessing, segmentation, recognition and post processing. The preprocessing stage is a crucial stage for the success of OCR, which mainly deals with noise removal. In the present paper, a modified technique for noise removal named as “K-Algorithm” has been proposed, which has two stages as filtering and binarization. The proposed technique shows improvised results in comparison to median filtering technique.
International Journal of Information Sciences and Techniques (IJIST), 2013
The purpose of this paper is to examine how we can achieve a cashless society in Nigeria especial... more The purpose of this paper is to examine how we can achieve a cashless society in Nigeria especially given her infrastructure deficits. This study examines the cashless economic system so as to assess its feasibility in Nigeria with regards to timeless, preparedness and adequacy against the backdrop of our level of development both technologically and educationally. Nigeria has continued to evolve in different realms. The economy is being reformed, the institutions are being reshaped and laws are being re-examined so as to reposition the nation to take its rightful position in the international community. As a way of fasttracking the Nigerian economy so as to be among the first 20 world economies come 2020, Nigeria proposed 2012 for the adoption of the cashless economy system starting with Lagos State but could not realized its objective. The study used structured questionnaire as a means of data collection and the collected data were analyzed using simple percentage procedure. The results indicate that: majority of Nigerians are already aware of the policy and majority agree that the policy will help fight against corruption/money laundering and reduce the risk of carrying cash and can also foster economic growth. Major problems envisaged that can hinder the implementation of the policy are: cyber fraud, limited point of sales and numeracy illiteracy. Based on the findings some recommendations made are: the government should adopt a different strategy to educate the non-literate Nigerians about the cashless economy; and the Federal Government of Nigerian should establish a Cybercrime law.
International Journal of Information Sciences and Techniques (IJIST) , 2013
A different image fusion algorithm based on self organizing feature map is proposed in this paper... more A different image fusion algorithm based on self organizing feature map is proposed in this paper, aiming to produce quality images. Image Fusion is to integrate complementary and redundant information from multiple images of the same scene to create a single composite image that contains all the important features of the original images. The resulting fused image will thus be more suitable for human and machine perception or for further image processing tasks. The existing fusion techniques based on either direct operation on pixels or segments fail to produce fused images of the required quality and are mostly application based. The existing segmentation algorithms become complicated and time consuming when multiple images are to be fused. A new method of segmenting and fusion of gray scale images adopting Self organizing Feature Maps(SOM) is proposed in this paper. The Self Organizing Feature Maps is adopted to produce multiple slices of the source and reference images based on various combination of gray scale and can dynamically fused depending on the application. The proposed technique is adopted and analyzed for fusion of multiple images. The technique is robust in the sense that there will be no loss in information due to the property of Self Organizing Feature Maps; noise removal in the source images done during processing stage and fusion of multiple images is dynamically done to get the desired results. Experimental results demonstrate that, for the quality multifocus image fusion, the proposed method performs better than some popular image fusion methods in both subjective and objective qualities.
International Journal of Information Sciences and Techniques (IJIST) , 2013
Classification is widely used technique in the data mining domain, where scalability and efficien... more Classification is widely used technique in the data mining domain, where scalability and efficiency are the immediate problems in classification algorithms for large databases. We suggest improvements to the existing C4.5 decision tree algorithm. In this paper attribute oriented induction (AOI) and relevance analysis are incorporated with concept hierarchy’s knowledge and HeightBalancePriority algorithm for construction of decision tree along with Multi level mining. The assignment of priorities to attributes is done by evaluating information entropy, at different levels of abstraction for building decision tree using HeightBalancePriority algorithm. Modified DMQL queries are used to understand and explore the shortcomings of the decision trees generated by C4.5 classifier for education dataset and the results are compared with the proposed approach.
International Journal of Information Sciences and Techniques (IJIST), 2013
In this paper, a microcontroller-based temperature monitoring and logging system suitable for use... more In this paper, a microcontroller-based temperature monitoring and logging system suitable for use in hospitals was designed and constructed. The features include ability to monitor a patient’s temperature on a continuous basis while displaying the instant result on a Liquid Crystal Display (LCD) device. The temperature monitored is logged in a memory device, Electrically Erasable Programmable Read Only Memory (EEPROM), located in the system at every 10 minutes interval and can be interfaced with a computer using USB or RS232 UART device. An ATmega16 AVR is used as the heart of the control and coordination of all the activities of the individual modules. It allowed a doctor at location from the patient to keep track of his patient’s condition while attending to other issues.
International Journal of Information Sciences and Techniques (IJIST), 2013
Binary sensor arrays have many applications for detecting and tracking the location of an object.... more Binary sensor arrays have many applications for detecting and tracking the location of an object. Many considerations factoring into the optimal design for such a system, including the accuracy of location, the extent of the sensor coverage, and the number and size of the sensors used. In this paper, we frame the problem by providing several definitions for sensor coverage and spatial probability for the general case, with special attention to sensor arrays in one dimension as a simplification for the purpose of clarity. We then propose a metric for measuring the overall the utility of a given set of choices that may be used in any algorithm for seeking an optimal outcome by maximizing this utility. Finally, we perform a numerical analysis of several variations of the the proposed metric, again in one dimensions, to illustrate its fitness for the task.
International Journal of Information Sciences and Techniques (IJIST), 2012
Classification is widely used technique in the data mining domain, where scalability and efficien... more Classification is widely used technique in the data mining domain, where scalability and efficiency are the immediate problems in classification algorithms for large databases. We suggest improvements to the existing C4.5 decision tree algorithm. In this paper attribute oriented induction (AOI) and relevance analysis are incorporated with concept hierarchy’s knowledge and HeightBalancePriority algorithm for construction of decision tree along with Multi level mining. The assignment of priorities to attributes is done by evaluating information entropy, at different levels of abstraction for building decision tree using HeightBalancePriority algorithm. Modified DMQL queries are used to understand and explore the shortcomings of the decision trees generated by C4.5 classifier for education dataset and the results are compared with the proposed approach.
International Journal of Information Sciences and Techniques (IJIST), 2012
A different image fusion algorithm based on self organizing feature map is proposed in this paper... more A different image fusion algorithm based on self organizing feature map is proposed in this paper, aiming to produce quality images. Image Fusion is to integrate complementary and redundant information from multiple images of the same scene to create a single composite image that contains all the important features of the original images. The resulting fused image will thus be more suitable for human and machine perception or for further image processing tasks. The existing fusion techniques based on either direct operation on pixels or segments fail to produce fused images of the required quality and are mostly application based. The existing segmentation algorithms become complicated and time consuming when multiple images are to be fused. A new method of segmenting and fusion of gray scale images adopting Self organizing Feature Maps(SOM) is proposed in this paper. The Self Organizing Feature Maps is adopted to produce multiple slices of the source and reference images based on various combination of gray scale and can dynamically fused depending on the application. The proposed technique is adopted and analyzed for fusion of multiple images. The technique is robust in the sense that there will be no loss in information due to the property of Self Organizing Feature Maps; noise removal in the source images done during processing stage and fusion of multiple images is dynamically done to get the desired results. Experimental results demonstrate that, for the quality multifocus image fusion, the proposed method performs better than some popular image fusion methods in both subjective and objective qualities.
International Journal of Information Sciences and Techniques (IJIST), 2012
In this paper, a new modified system for equal power division is implemented with the help of rec... more In this paper, a new modified system for equal power division is implemented with the help of rectangular micro strip patch antenna, Gysel power divider and leakage cancellation circuit. Today’s world power division plays an important role in wireless application areas such as base stations, antenna arrays, handheld devices etc., Here micro strip patch antenna is implemented with FR4 as a substrate material due to its benefits such as low loss and low fabrication cost while the ground material is aluminium due to its conductivity. For a good system, the return loss should be highly desirable and insertion loss should be low. Our proposed system is designed with a combination of micro strip patch antenna, leakage cancellation circuit and Gysel power divider produces equal power division with low loss such as insertion loss is measured as -39.291dB, return loss as -16.11dB and leakage cancellation as 6dB which was designed and simulated in Agilent Advanced Design System software (2009).
International Journal of Information Sciences and Techniques (IJIST), 2012
The Flow of packets inside an IP networks can be effectively controlled by appropriate traffic en... more The Flow of packets inside an IP networks can be effectively controlled by appropriate traffic engineering. Today’s internet routing mainly concentrates on controlling the ingress and egress traffic which occurs through border routers. There are different ways by which we can control the traffic between autonomous systems. In most cases redistribution communities are used for the control over traffic engineering. In this paper we focus on alternative approaches like Multi Protocol Label Switching (MPLS) and Ambient Networks, through which there can be an effective control over traffic engineering. Ambient Networks are designed to solve switching problems between heterogeneous networks.
International Journal of Information Science & Techniques (IJIST) , 2024
The International Journal of Information Science & Techniques (IJIST) focuses on information syst... more The International Journal of Information Science & Techniques (IJIST) focuses on information systems science and technology coercing multitude applications of information systems in business administration, social science, biosciences, and humanities education, library sciences management, depiction of data and structural illustration, big data analytics, information economics in real engineering and scientific problems.
This journal provides a forum that impacts the development of engineering, education, technology management, information theories and application validation. It also acts as a path to exchange novel and innovative ideas about Information systems science and technology.
International Journal of Information Sciences and Techniques (IJIST), 2014
The Substrate Integrated Waveguide (SIW) technology is an attractive approach for the design of h... more The Substrate Integrated Waveguide (SIW) technology is an attractive approach for the design of high performance microwave and millimeter wave components, as it combines the advantages of planar technology, such as low fabrication costs, with the low loss inherent to the waveguide solution. In this study, a substrate integrated waveguide power divider, circulator and coupler are conceived and optimized in [10-15] GHz band by Ansoft HFSS code. Thus, results of this modeling are presented, discussed and allow to integrate these devices in planar circuits.
International Journal of Information Sciences and Techniques (IJIST), 2023
The International Journal of Information Science & Techniques (IJIST) focuses on information syst... more The International Journal of Information Science & Techniques (IJIST) focuses on information systems science and technology coercing multitude applications of information systems in business administration, social science, biosciences, and humanities education, library sciences management, depiction of data and structural illustration, big data analytics, information economics in real engineering and scientific problems.
This journal provides a forum that impacts the development of engineering, education, technology management, information theories and application validation. It also acts as a path to exchange novel and innovative ideas about Information systems science and technology.
International Journal of Information Sciences and Techniques (IJIST), 2013
Neural networks have been used successfully to a broad range of areas such as business, data mini... more Neural networks have been used successfully to a broad range of areas such as business, data mining, drug discovery and biology. In medicine, neural networks have been applied widely in medical diagnosis, detection and evaluation of new drugs and treatment cost estimation. In addition, neural networks have begin practice in data mining strategies for the aim of prediction, knowledge discovery. This paper will present the application of neural networks for the prediction and analysis of antitubercular activity of Oxazolines and Oxazoles derivatives. This study presents techniques based on the development of Single hidden layer neural network (SHLFFNN), Gradient Descent Back propagation neural network (GDBPNN), Gradient Descent Back propagation with momentum neural network (GDBPMNN), Back propagation with Weight decay neural network (BPWDNN) and Quantile regression neural network (QRNN) of artificial neural network (ANN) models Here, we comparatively evaluate the performance of five neural network techniques. The evaluation of the efficiency of each model by ways of benchmark experiments is an accepted application. Cross-validation and resampling techniques are commonly used to derive point estimates of the performances which are compared to identify methods with good properties. Predictive accuracy was evaluated using the root mean squared error (RMSE), Coefficient determination(R2), mean absolute error(MAE), mean percentage error(MPE) and relative square error(RSE). We found that all five neural network models were able to produce feasible models. QRNN model is outperforms with all statistical tests amongst other four models.
International Journal of Information Sciences and Techniques (IJIST), 2013
Term frequencies and inverse document frequencies have been successfully applied in determining w... more Term frequencies and inverse document frequencies have been successfully applied in determining weighting for document rankings. However these have been more successful in text mining and in extraction techniques used in the web. Concept mining has become increasingly popular in the research and application areas of Computer Science. This paper attempts to demonstrate the limited usage of term frequency and inverse document frequency for the application of weighting calculations for ranking documents that are based on concept quantifications. The case study considered for experiment in this paper, is based on concept terms of David Merrill’s First Principles of Instruction (FPI). Merrill’s FPI applies cognitive structures explicitly for analyzing instructional materials. Therefore it is justified that the terms categorized under each cognitive structure (or portrayal) of FPI can be taken as respective concept of that portrayal. As question papers are representative of cognitive structures in a more clear and logical way, four question papers on ‘C Language’ have been considered for the experimental study, that are detailed in this paper. Manual method has been adopted for the computation of quantities of portrayals in selected documents for the purpose of comparative study. As manual method is accurate, the values (results) are considered as benchmark values. These benchmark values are considered for comparing with normalized term frequencies that are derived (experimented) from automated extractions from the same selected documents. The study is however limited to four documents only. Conclusions are drawn from this experimental study, which will be of immense use to concept mining researchers as well as for instructional designers.
International Journal of Information Sciences and Techniques (IJIST), 2013
Learning comes through creating and applying knowledge, whilst learning increases an individual's... more Learning comes through creating and applying knowledge, whilst learning increases an individual's and organization's knowledge asset. Both e-learning and knowledge management feed off the same root: learning, improved capacity to perform work tasks, ability to make effective decisions, and positively impact the world around us. The difference between KM and e-learning is a function of time; knowledge management is dynamic, e-learning is static. As a medium, e-learning allows for the sharing of knowledge that has been tested, researched and organized. Knowledge management is much livelier. Conversations and sharing understanding happens in real time. Through KM, tacit understanding can be communicated, problems can be jointly solved, and serendipitous connections are formed. KM is chaotic, current. KM is ecology; e-learning is the architecture. E-learning courses become outdated, while KM environments are continually fresh and reflective of current activity in a field. Anyway, the strengths of the two fields need to be brought together. KM should feed into e-learning in order for the content of the "course" to remain fresh and to tap learners into a sustained knowledge environment after the course is done and e-learning should feed into the KM environment to provide easy mechanisms for organizing information in the manner that most of the people function. There‟s no doubt that converging this two technology creates bigger impact in the learning process, but our discussion is focused to justify whether the convergence creates better value or not. In the light of the discussion, the conceptual link between these two key technologies has been drawn and several related issues are discussed.
International Journal of Information Sciences and Techniques (IJIST), 2013
Bangladesh is an over populated developing country where crisis of food is a major issue, it face... more Bangladesh is an over populated developing country where crisis of food is a major issue, it faces different infrastructure problem in every sector. For Poverty Alleviation from the country we have to confirm cultivable land to increase the crop production for feeding the over population of the country. This paper focuses on the measurement of cultivable land for cultivation. The main purpose of this paper is to briefly describe how the GIS, Digital Mapping, Internet concepts and tools can effectively contribute in the modeling, analysis and visualization phases within an engineering or research project according to the crops by using object detection, object tracking and field mapping in Bangladesh. Through GIS mapping of the agricultural lands, the statistics can be made of how much land is cultivable and each year how much land we are losing. Mapping the cultivation land will tell us how much crop we have to import from other countries. Enabling real-time GIS analysis anytime, anywhere, the implementation of the GIS information to a wider aspect. Automation is the indicator of the modern civilizations. The system will benefit the food stock of the country according to the harvest. For this research we developed a new interactive system. The system will integrate with GIS project data in Google Earth, first finds highly accurate cluster images and partial images, obtains user feedback to merge or correct these digests, and then the supplementary visual analysis complete the partitioning of the data. This study was conducted at the software laboratory, Computer Science and Engineering department, Jahangirnagar University, Dhaka, Bangladesh in 2013.
International Journal of Information Sciences and Techniques (IJIST), 2013
This paper presents, an space efficient algorithm for linear time suffix array construction. The ... more This paper presents, an space efficient algorithm for linear time suffix array construction. The algorithm uses the techniques of divide-and-conquer, and recursion. What differentiates the proposed algorithm from the variable-length leftmost S-type (LMS) substrings is the efficient usage of the memory to construct the suffix array. The modified induced sorting algorithm for the variable-length LMS substrings uses efficient usage of the memory space than the existing variable length left most S-type(LMS) substrings algorithm.
International Journal of Information Sciences and Techniques (IJIST), 2013
This paper is concerned with the development of Back-propagation Neural Network for Bangla Speech... more This paper is concerned with the development of Back-propagation Neural Network for Bangla Speech Recognition. In this paper, ten bangla digits were recorded from ten speakers and have been recognized. The features of these speech digits were extracted by the method of Mel Frequency Cepstral Coefficient (MFCC) analysis. The mfcc features of five speakers were used to train the network with Back propagation algorithm. The mfcc features of ten bangla digit speeches, from 0 to 9, of another five speakers were used to test the system. All the methods and algorithms used in this research were implemented using the features of Turbo C and C++ languages. From our investigation it is seen that the developed system can successfully encode and analyze the mfcc features of the speech signal to recognition. The developed system achieved recognition rate about 96.332% for known speakers (i.e., speaker dependent) and 92% for unknown speakers (i.e., speaker independent).
International Journal of Information Sciences and Techniques (IJIST), 2013
This paper gives an introduction on the IEEE 802.16 standard – WIMAX or Worldwide Interoperabilit... more This paper gives an introduction on the IEEE 802.16 standard – WIMAX or Worldwide Interoperability for Microwave Access. The different parts give details on the architectural specifications of WiMAX networks and also on the working principle of WiMAX networks including its services provided. It also provides brief descriptions on its salient features of this technology and how it benefits the networking industry. A brief outline of the basic building blocks or equipment of WiMAX architecture is also provided. This paper also evaluates the simulation performance of IEEE 802.16 OFDM PHY layer. The Stanford University Interim (SUI) channel model under varying parameters is selected for the wireless channel in the simulation. The performance measurements and analysis was done in simulation developed in MATLAB.
International Journal of Information Sciences and Techniques (IJIST), 2013
OCR has been an active research area since last few decades. OCR performs the recognition of the ... more OCR has been an active research area since last few decades. OCR performs the recognition of the text in the scanned document image and converts it into editable form. The OCR process can have several stages like preprocessing, segmentation, recognition and post processing. The preprocessing stage is a crucial stage for the success of OCR, which mainly deals with noise removal. In the present paper, a modified technique for noise removal named as “K-Algorithm” has been proposed, which has two stages as filtering and binarization. The proposed technique shows improvised results in comparison to median filtering technique.
International Journal of Information Sciences and Techniques (IJIST), 2013
The purpose of this paper is to examine how we can achieve a cashless society in Nigeria especial... more The purpose of this paper is to examine how we can achieve a cashless society in Nigeria especially given her infrastructure deficits. This study examines the cashless economic system so as to assess its feasibility in Nigeria with regards to timeless, preparedness and adequacy against the backdrop of our level of development both technologically and educationally. Nigeria has continued to evolve in different realms. The economy is being reformed, the institutions are being reshaped and laws are being re-examined so as to reposition the nation to take its rightful position in the international community. As a way of fasttracking the Nigerian economy so as to be among the first 20 world economies come 2020, Nigeria proposed 2012 for the adoption of the cashless economy system starting with Lagos State but could not realized its objective. The study used structured questionnaire as a means of data collection and the collected data were analyzed using simple percentage procedure. The results indicate that: majority of Nigerians are already aware of the policy and majority agree that the policy will help fight against corruption/money laundering and reduce the risk of carrying cash and can also foster economic growth. Major problems envisaged that can hinder the implementation of the policy are: cyber fraud, limited point of sales and numeracy illiteracy. Based on the findings some recommendations made are: the government should adopt a different strategy to educate the non-literate Nigerians about the cashless economy; and the Federal Government of Nigerian should establish a Cybercrime law.
International Journal of Information Sciences and Techniques (IJIST) , 2013
A different image fusion algorithm based on self organizing feature map is proposed in this paper... more A different image fusion algorithm based on self organizing feature map is proposed in this paper, aiming to produce quality images. Image Fusion is to integrate complementary and redundant information from multiple images of the same scene to create a single composite image that contains all the important features of the original images. The resulting fused image will thus be more suitable for human and machine perception or for further image processing tasks. The existing fusion techniques based on either direct operation on pixels or segments fail to produce fused images of the required quality and are mostly application based. The existing segmentation algorithms become complicated and time consuming when multiple images are to be fused. A new method of segmenting and fusion of gray scale images adopting Self organizing Feature Maps(SOM) is proposed in this paper. The Self Organizing Feature Maps is adopted to produce multiple slices of the source and reference images based on various combination of gray scale and can dynamically fused depending on the application. The proposed technique is adopted and analyzed for fusion of multiple images. The technique is robust in the sense that there will be no loss in information due to the property of Self Organizing Feature Maps; noise removal in the source images done during processing stage and fusion of multiple images is dynamically done to get the desired results. Experimental results demonstrate that, for the quality multifocus image fusion, the proposed method performs better than some popular image fusion methods in both subjective and objective qualities.
International Journal of Information Sciences and Techniques (IJIST) , 2013
Classification is widely used technique in the data mining domain, where scalability and efficien... more Classification is widely used technique in the data mining domain, where scalability and efficiency are the immediate problems in classification algorithms for large databases. We suggest improvements to the existing C4.5 decision tree algorithm. In this paper attribute oriented induction (AOI) and relevance analysis are incorporated with concept hierarchy’s knowledge and HeightBalancePriority algorithm for construction of decision tree along with Multi level mining. The assignment of priorities to attributes is done by evaluating information entropy, at different levels of abstraction for building decision tree using HeightBalancePriority algorithm. Modified DMQL queries are used to understand and explore the shortcomings of the decision trees generated by C4.5 classifier for education dataset and the results are compared with the proposed approach.
International Journal of Information Sciences and Techniques (IJIST), 2013
In this paper, a microcontroller-based temperature monitoring and logging system suitable for use... more In this paper, a microcontroller-based temperature monitoring and logging system suitable for use in hospitals was designed and constructed. The features include ability to monitor a patient’s temperature on a continuous basis while displaying the instant result on a Liquid Crystal Display (LCD) device. The temperature monitored is logged in a memory device, Electrically Erasable Programmable Read Only Memory (EEPROM), located in the system at every 10 minutes interval and can be interfaced with a computer using USB or RS232 UART device. An ATmega16 AVR is used as the heart of the control and coordination of all the activities of the individual modules. It allowed a doctor at location from the patient to keep track of his patient’s condition while attending to other issues.
International Journal of Information Sciences and Techniques (IJIST), 2013
Binary sensor arrays have many applications for detecting and tracking the location of an object.... more Binary sensor arrays have many applications for detecting and tracking the location of an object. Many considerations factoring into the optimal design for such a system, including the accuracy of location, the extent of the sensor coverage, and the number and size of the sensors used. In this paper, we frame the problem by providing several definitions for sensor coverage and spatial probability for the general case, with special attention to sensor arrays in one dimension as a simplification for the purpose of clarity. We then propose a metric for measuring the overall the utility of a given set of choices that may be used in any algorithm for seeking an optimal outcome by maximizing this utility. Finally, we perform a numerical analysis of several variations of the the proposed metric, again in one dimensions, to illustrate its fitness for the task.
International Journal of Information Sciences and Techniques (IJIST), 2012
Classification is widely used technique in the data mining domain, where scalability and efficien... more Classification is widely used technique in the data mining domain, where scalability and efficiency are the immediate problems in classification algorithms for large databases. We suggest improvements to the existing C4.5 decision tree algorithm. In this paper attribute oriented induction (AOI) and relevance analysis are incorporated with concept hierarchy’s knowledge and HeightBalancePriority algorithm for construction of decision tree along with Multi level mining. The assignment of priorities to attributes is done by evaluating information entropy, at different levels of abstraction for building decision tree using HeightBalancePriority algorithm. Modified DMQL queries are used to understand and explore the shortcomings of the decision trees generated by C4.5 classifier for education dataset and the results are compared with the proposed approach.
International Journal of Information Sciences and Techniques (IJIST), 2012
A different image fusion algorithm based on self organizing feature map is proposed in this paper... more A different image fusion algorithm based on self organizing feature map is proposed in this paper, aiming to produce quality images. Image Fusion is to integrate complementary and redundant information from multiple images of the same scene to create a single composite image that contains all the important features of the original images. The resulting fused image will thus be more suitable for human and machine perception or for further image processing tasks. The existing fusion techniques based on either direct operation on pixels or segments fail to produce fused images of the required quality and are mostly application based. The existing segmentation algorithms become complicated and time consuming when multiple images are to be fused. A new method of segmenting and fusion of gray scale images adopting Self organizing Feature Maps(SOM) is proposed in this paper. The Self Organizing Feature Maps is adopted to produce multiple slices of the source and reference images based on various combination of gray scale and can dynamically fused depending on the application. The proposed technique is adopted and analyzed for fusion of multiple images. The technique is robust in the sense that there will be no loss in information due to the property of Self Organizing Feature Maps; noise removal in the source images done during processing stage and fusion of multiple images is dynamically done to get the desired results. Experimental results demonstrate that, for the quality multifocus image fusion, the proposed method performs better than some popular image fusion methods in both subjective and objective qualities.
International Journal of Information Sciences and Techniques (IJIST), 2012
In this paper, a new modified system for equal power division is implemented with the help of rec... more In this paper, a new modified system for equal power division is implemented with the help of rectangular micro strip patch antenna, Gysel power divider and leakage cancellation circuit. Today’s world power division plays an important role in wireless application areas such as base stations, antenna arrays, handheld devices etc., Here micro strip patch antenna is implemented with FR4 as a substrate material due to its benefits such as low loss and low fabrication cost while the ground material is aluminium due to its conductivity. For a good system, the return loss should be highly desirable and insertion loss should be low. Our proposed system is designed with a combination of micro strip patch antenna, leakage cancellation circuit and Gysel power divider produces equal power division with low loss such as insertion loss is measured as -39.291dB, return loss as -16.11dB and leakage cancellation as 6dB which was designed and simulated in Agilent Advanced Design System software (2009).
International Journal of Information Sciences and Techniques (IJIST), 2012
The Flow of packets inside an IP networks can be effectively controlled by appropriate traffic en... more The Flow of packets inside an IP networks can be effectively controlled by appropriate traffic engineering. Today’s internet routing mainly concentrates on controlling the ingress and egress traffic which occurs through border routers. There are different ways by which we can control the traffic between autonomous systems. In most cases redistribution communities are used for the control over traffic engineering. In this paper we focus on alternative approaches like Multi Protocol Label Switching (MPLS) and Ambient Networks, through which there can be an effective control over traffic engineering. Ambient Networks are designed to solve switching problems between heterogeneous networks.
EDTECH, 2024
5th International Conference on Education and Integrating Technology (EDTECH 2024) is an interdis... more 5th International Conference on Education and Integrating Technology (EDTECH 2024) is an interdisciplinary form for educators who wish to improve the quality of instruction through the use of computers and how to implement it effectively into instruction. It also aims to provide a platform for exchanging ideas in new emerging trends that needs more focus and exposure and will attempt to publish proposals that strengthen our goals.