Rethinking the Justice of God with Asian Sensibilities

This article proposes the need to rethink the concepts of justice with Asian sensibilities. For centuries the idea of justice has been read and interpreted along and within the classical Greek philosophical framework. In some ways, this Greek categorial framework is also seen in the concepts of biblical justice. However, in an Asian context, the character justice and its application need to be explored in the light of restoring harmony, with the self, other, cosmos and God, which is integral in many of the Asian spiritualities. In modern times, the theories of John Rawls and Robert Nozick are much quoted in studies regarding justice. However, Asian sensibilities call for a deeper exploration of justice for the purpose of harmony and that is the intent of this article

AUTOMATED ACCIDENT LOCATION DETECTION SYSTEM

The Rapid growth of technology and infrastructure has made our lives easier. The advent of technology and population development, the usage of vehicles are rapidly increasing as human relies on automobile transportation more than all other public transport such as train, bus and airplane. This has caused an increase in traffic hazards and the road accident which caused a huge loss of life and property because of poor emergency facilities. This project will provide an optimum solution to this draw and design a website for the system

Holistic Analysis of Scheduled Tribe College Students

Education is one of the primary agents of transformation towards development. Education is in fact, an input not only for economic development of tribes but also for inner strength of the tribal communities which helps them in meeting the new challenges of life. (KabitaKumariSahu, 2014) Mixed methodology and Follow up Explanation model design is used in the research. Purposive sampling technique has been used for collecting data through Online questionnaire and in-depth interviews. Holistic analysis focuses on analyzing socio, economic and political order of students. The major findings include the influence of peer, adaptability of students, participation roles, challenges faced, and other components. The suggestions would be based on the need in the institution by working accordingly to the instructions of the UGC Guidelines to help build an inclusive discrimination free learning environment. (UGC, 2018

Exploring the black box between the implementation of human resource management and its outcome from employees’ perspective: a qualitative study

Until today, a rich body of human resource management (HRM) research has focused on contributing to the neoclassical economic theory, for example, employee output (performance, productivity and competitive advantage) and organisational output (e.g., financial revenue, market share, development, performance, sales and customer retention). However, limited research has focused on the relationship between human resource management, employee outcome (wellbeing, job performance and personal life) and organisation outcome (e.g., reputation, recommendation etc). In addressing this gap, the current research investigates the relationship between human resource management implementation and its outcome. The research takes an overarching approach to explore how do employees evaluate the human resource management implementation context (human resource practices and workplace relations) and its outcomes. Forty-seven semi-structured interviews were conducted with various organisations, ranks, roles, and backgrounds to gain insight into the employees’ evaluation. Furthermore, this research has adopted the qualitative approach by addressing the questions of ‘how, what, why, when, and whom’. The data were coded and analysed employing thematic, case network and matrix analyses. The findings were presented in the format of the cross-case network, matrix and thematic analyses. The findings demonstrate the valence of human resource management implementation context which is either positive, negative or neutral, does effect the work climate and culture; and employee and organisation outcomes through the process of social exchange. The research suggests the need for a holistic approach to HRM implementation. Finally, this study considers the limitation and directions for future research. Keywords: HRM, employee evaluation, HRM implementation context/factor, HR practices, workplace relations, employee and organisation outcomes; employee characteristics, values/vices, knowledge, attitude, employee wellbeing, HWB, EWB, dignity, job performance, personal life, SET, psychology contract theory, reciprocation, valence, causality

CLOUD COMPUTING IN HEALTHCARE

Information Technology (IT) has modernizedhealthcare sector via the newest development. Cloud computing in healthcare is budding and charming as crucial methodologies by most of the stakeholders.  It has the special ability to offer infinite capacity and power of process in the e-healthcare sector.This leads computer to be used efficiently and exclusively by the sharing of resources in healthcare. This paper provide a review of some proposed cloud based e-healthcare architectures edge along with issues inbothtechnologies and the crucial reasons of enhancingforward to a cloud based e-healthcare especially in Malaysia

Pattern of Injuries among Two or Four Wheeler Occupants in Fatal Road Traffic Injuries

Background: Every day, we read, listen, or witness, injuries in our day to day lives. Over time, it has moved from 5th to 3rd to 1st page of our newspapers. Some days, it is not uncommon to see the entire page of our newspaper filled with news about injury and violence. On television channels, even on prime time, injury and violence has occupied the center stage. Many times, the ‘breaking news’ is only deaths due to road crashes, suicides, mass burns and blood loaded violence. The present study is aimed at analyzing the various types of injuries that occur in road traffic injuries and to take necessary actions by the concerned authority to prevent such incidents in the future.Methods: In this study, we studied the various patterns of injuries sustained by the occupants of two/four wheeler during fatal road traffic injuries. A total number of 238 cases (those who died in road traffic injuries) were included in the study for a period of 2 years from October 2010 to September 2012 in Department of Forensic Medicine and Toxicology, Bangalore Medical College and Research Institute, Bengaluru.Results: Among the cases studied in our study (n=238), majority of the victims were males constituting 94% of the cases and in age-wise distribution of cases, age group of 21-30 years (46.2%) followed by 31-40 years (21.4%) constitutes to about 2/3rd of the cases. Time of injury among the cases studied showed that highest incidence being during the night times (18:01-00:00) which constitutes 44.11%. Among the road user category, two wheeler riders (78.15%) formed the major contributors for road traffic injury.Conclusion: In the present study, it is very clear that the middle aged, male bike riders are more prone for fatal road traffic injuries. Hence, Government should take proper initiatives in the future to focus on these high risk individuals to prevent such fatalities.

Altered Behaviour: The Performative Nature of Manufacture Chainsaw Choreographies + Bandsaw Manoeuvres

This paper explores the ventures of the Robotic Fabrications AA Visiting School. Cultivating and implementing radical and innovative modes of architectural fabrication, we borrow from neighbouring creative fields such as choreography, performance and martial arts - efficient code being infected with an exciting spatial complexity and positing an artistic engagement within the world of physical production

AUTOMATED ACCIDENT LOCATION DETECTION SYSTEM

The Rapid growth of technology and infrastructure has made our lives easier. The advent of technology and population development, the usage of vehicles are rapidly increasing as human relies on automobile transportation more than all other public transport such as train, bus and airplane. This has caused an increase in traffic hazards and the road accident which caused a huge loss of life and property because of poor emergency facilities. This project will provide an optimum solution to this draw and design a website for the system

Developing Feedback Based Robotic Manufacturing Method for Earth-Based Materials

Although earth-based materials have the advantage of being locally sourced and have low embodied emissions, they can have an unpredictable material behavior due to their heterogeneous composition which potentially limits their use in manufacturing. As a result, it becomes challenging to standardise and maintain quality outcomes. Moreover, current industry methods are labour-intensive and require a high level of traditional knowledge. This research explores and develops a fabrication methodology for earthen materials that is location-agnostic. It involves an array of fabrication approaches, including the development of a robotic 'Impact Printing' setup using a UR10 robot and a custom tool to pick, place, and mechanically compact earth blocks. The 'Feedback System' employs Kinect 2.0 to scan the deformation of earth materials observed during fabrication and a computational algorithm to generate accurate and adapted toolpaths for the position and compaction of earthen blocks in real-time. To push the boundaries of architectural design for traditional building materials, the study investigates the construction of a closed Nubian vault using the aforementioned techniques and tools. Through the optimization of material behavior and manufacturing processes, the research opens up a pathway for automated onsite earth construction

AI Techniques for Efficient Healthcare Systems in ECG Wave Based Cardiac Disease Detection by High Performance Modelling

Heart disease (HD) is extremely lethal by nature and claims a disproportionately large number of lives worldwide. Early and reliable detection techniques are necessary to prevent fatalities from HD. Clinical test results, electrocardiogram (ECG) signal, the heart sound signal, impedance cardiography (ICG), magnetic resonance imaging, and computer tomography (CT) can all be used to determine whether an individual has HD. This research propose novel technique in efficient healthcare system by ECG wave based cardiac disease detection using deep learning architecture with high performance modelling. Here the input is collected as ECG waves which has been processed and obtained as ECG wave fragments. This ECG fragment features has been extracted using deep belief kernel principal neural network. Based on this extracted features the patients 3D heart image has been collected and classified using deep quantum multilayer convolutional neural networks. Here the experimental analysis has been carried out in terms of accuracy, precision, recall, F-score, SNR, RMSE. Proposed technique attained accuracy of 95%, precision of 81%, recall of 69%, F-1score of 73%, SNR of 59% and RMSE of 62%.  &nbsp