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Nowadays, a huge amount of ambiguous e-learning materials are available in World Wide Web irrespective of various objectives. These digital educational resources can be reused and shared from centralized online repository and it will avoid the redundant learning material. The main goal is to design consistent adaptable e-learning course material for web-based education system with emphasis on the quality of learning. This can be done by organizing learning object in a prescribed manner and it can be reused in feature. Such reusable learning objects are enhanced further to become adaptive reusable learning objects that are virtually cognitive and responsive towards the specific needs of the user/customer. This paper proposes the cognitive architecture to offer an adaptive reusable objects (RLO) based on individual profile of e-learner besides their cognitive behaviour while learning.

Air pollution from the use of solid household fuels is now recognized to be a major health risk in developing countries. Accordingly, there has been some shift in development thinking and investment from previous efforts, which has focused only on improving the efficiency of household fuel use, to those that focus on reducing exposure to the air pollution that leads to health impact. Unfortunately, however, this is occurring just as the climate agenda has come to dominate much of the discourse and action on international sustainable development. Thus, instead of optimizing approaches that centrally focus on the large health impact, the household energy agenda has been hampered by the constraints imposed by a narrow definition of sustainability—one primarily driven by the desire to mitigate greenhouse emissions by relying on renewable biomass fueling so-called improved cookstoves. In reality, however, solid biomass is extremely difficult to burn sufficiently cleanly in household stoves to reach health goals. In comparison to the international development community, however, some large countries, notably Brazil historically and more recently, India have substantially expanded the use of liquefied petroleum gas (LPG) in their household energy mix, using their own resources, having a major impact on their national energy picture. The net climate impact of such approaches compared to current biomass stoves is minimal or non-existent, and the social and health benefits are, in contrast, potentially great. LPG can be seen as a transition fuel for clean household energy, with induction stoves powered by renewables as the holy grail (an approach already being adopted by Ecuador as also discussed here). The enormous human and social benefits of clean energy, rather than climate concerns, should dominate the household energy access agenda today.

Present education system is concentrating in imparting the quality education to the student community with the help of various electric and electronic equipments like computer, Internet facility, audio visual classrooms, video conferencing facility, LCD Projectors, wi-fi facility etc. In this regard the uses of the various electric and electronic equipments in the teaching field should be optimized and students should be trained in optimal utilization of the same. Continuous use of the above mentioned equipments in the education system need the routine auditing activity to keep the facilities in good condition. The routine auditing activity helps in optimal usage of the equipments, diagnosis of the electrical leakage and maintenance of the equipments. This routine auditing activity helps in minimum usage of the power, avoiding the unnecessary waste. The result of the routine auditing and optimal utilization improves the performance of the devices. The life span of the devices will be improved due to this regular auditing activity which results in reduction of the maintenance cost for the institution. This paper contains the techniques suggested for auditing activity in an education system taking Srinivas Institute of Management Studies as an example. The paper contains the study on the electricity distribution system in the education institutions, the various electrical and electronic devices used in the institutions with the individual power consumption, and need for auditing. The paper contains the charts showing the consumption of electricity with respect to time at Srinivas Institute of Management Studies. This paper also contains some suggestions to be implemented where green technology can also be used where ever possible and the methods to minimize the wastage in the system.

Realizing the attitude of teacher educators towards ICT is essential to incorporate its betterments in teacher preparation programmes. This study examined the difference between teacher educators’ attitude towards ICT and their level of attitude; whether it is favourable or unfavourable? The participants were the teacher educators of Colleges of Education in Coimbatore, South India. Cluster Sampling was adopted. Results indicated significant difference in their attitude with respect to their locality of home. Majority of teacher educators have favourable attitude.

A Wideband Rectangular Dielectric Resonator Antenna (RDRA) is presented in this manuscript. The proposed RDRA is designed for wideband body area network (WBAN) applications due to its compact size and wideband characteristics. The proposed antenna can be effectively integrated with modern medical devices for transmitting biological signals. WBAN attract variety of applications in monitoring human health in the domains such as sports, entertainment, defense, and healthcare industry. This manuscript presents a novel RDRA to meet recent research challenges as well as applications for future generation wideband RF-device technology for BANs. The miniaturized RDRA Antenna is designed for biotelemetry using HFSS 13, FEM based 3D EM Simulation Software

In this paper, a prototype of a Decision Support System (DSS) is proposed for providing the knowledge for optimizing the newly adopted e-learning education strategy in educational institutions. If an educational institution adopted e-learning as a new strategy, it should undertake a preliminary evaluation to determine the percentage of success and areas of weakness of this strategy. If this evaluation is done manually, it would not be an easy task to do and would not provide knowledge about all pitfall symptoms. The proposed DSS is based on exploration (mining) of knowledge from large amounts of data yielded from the operating the institution to its business. This knowledge can be used to guide and optimize any new business strategy implemented by the institution. The proposed DSS involves Database engine, Data Mining engine and Artificial Intelligence engine. All these engines work together in order to extract the knowledge necessary to improve the effectiveness of any strategy, including e-learning

Cardiovascular diseases (CVD) are the world's leading cause of mortality accounting for an estimated 31% of all deaths worldwide. Out of 17.9 million deaths per year due to CVDs, three-fourths of these deaths have occurred as there are no systems in place to predict the occurrence of a heart attack and warn the patient or doctor to take appropriate action. Data generated by clinical reports and examination reports by doctors are available for prediction through ERP models. Data science and reliable algorithms powered by AI can be used to develop medical devices that can predict such incidents of CVDs. In this paper, seven common classifiers are implemented that are computationally inexpensive and easily implementable and their performance metrics are compared. Two feature selection techniques are implemented and Grid Search is used for hyper-parameter tuning. Using k-fold cross-validation, classifiers are then evaluated, which generates classification metrics such as accuracy, f1-score, recall, and precision. It is evident from the study that the combination of Random Forest Classifier and SelectKBest feature selector has the highest accuracy of 89.706% and precision of 89.655%. To view and download the paper for free, visit: http://pices-journal.com/ojs/index.php/pices/article/view/283