Institute of Information Technology & Management
Information and Communication Technology Adoption: A Case study of Nigerian Tertiary Education Regulatory Agency
This research study examines the factors that influence adoption of ICT in an organisation that regulates tertiary education in Nigeria based on UTAUT model. Loading factor and Kaiser-Meyer-Olkin (KMO) were used to validate the model. The results of the study show that social factors have positive significant impact on the intention to adopt ICT. The study found that organisational, economic and individual factors are not statistically significant with intention to adopt ICT. This suggests that public organisations should encourage use of social networks to perform their mandates and encourage employees to interact freely to enhance their skills.
Copyright (c) 2020 IITM Journal of Management and IT https://creativecommons.org/licenses/by-nc-nd/4.0
There are number of overwhelming choices over the internet therefore there is a need to filter and efficiently deliver the relevant information so that we can overcome the information overload problem, a potential problem of many internet users. Thus recommender systems provide users the solution to this problem. They search through a huge volume of dynamically generated information to provide users with their choice of content, what they want to see. Various techniques have been proposed and many software have been developed for a different no. of applications. This paper therefore reviews and explore up to date applications of recommender system, different characteristics and types of prediction techniques in recommendation systems.
Usage of Internet of Things in Education
In the forthcoming years, technology will control the learning practice in many ways. Internet of Things (IoT) continues to approve its important location in the perspective of Information and Communication Technologies and the development of society. Now a day's one of the advance word in the information technology is Internet of Things (IoT). The main objective of IoT is to transform real world objects to the artificial intelligent virtual objects. IoT will provide everything in the real world object to provide shared infrastructure to control the things around the state of the things. In recent times this study represents IoT concepts by researcher's scholars, expert system, corporate white papers and online databases. Moreover this research paper will present definitions, issues of internet things, basic requirements and characteristics of IoT. The main goal of research paper is to provide a complete overview of advance technologies associated with their usage of ICT in higher education. However new research will provide goal comprehension and assist accumulation effectively.
Intrusion Detection Techniques for Mobile Cloud Computing in Heterogeneous 5g
As the importance of distributed computers is rapidly growing, they are becoming the target of more and more crime. Intrusion may be defined as the set of attempts to compromise computer network security. Besides the several security services, Intrusion Detection System/Techniques are taken into point that strengthen the system security and is more powerful in preventing internal and external attacks. This technique is considered to be very efficient in preventing wireless communication in Fifth Generation. In this paper we will discuss what Mobile Cloud Computing is and various Intrusion Detection Techniques for mobile computing along with challenges faced by each technique.
The purpose of this paper is to present an idea of machine learning tools that are currently in use or are being studied globally. This work explains the detailed explanation of what is machine learning. This paper introduces a machine learning study by various authors. This work is summarizing the various machine learning tools and their comparisons and recent studies of machine learning tools respectively. The material presented in this paper is the result of a literature review of different research papers and books. This work compares the various tools of machine learning.
Cross-layer security solution for secure communication of sensorsin Wireless Sensor Networks
Safe path-finding is extremely necessary for multihop wireless systems such as Wireless Sensor Networks. Multihop wireless systems are more unprotected to safety outbreaks as associated to single-stage wireless networks. Cross-layer design production is a precise significant character for wireless sensor Advanced security network is significant submissions. for the achievement of announcement among sensor nodes in wireless sensor network because the numbers composed is regularly less and the network is most vulnerable. Numerous Security methods have been suggested to deliver safety resolutions besides numerous threats to the Cross layer modification techniques in Wireless sensor networks. In this paper we overview the existing schemes for the security of cross-layer design in wireless sensor networks. The proposed Security model will provide more security between sensor nodes and the base station in wireless sensor network. Security is important for the success of the wireless sensor network because the data collected are often sensitive and the network is particularly vulnerable. In the cross-layer design, constraints are substituted between changed layers to protect the well-organized use of energy. In this paper, we propose a secure security model that is based on cross-layer design. It uses a cross layer optimization Machine Reproduction consequences confirm that our proposed safety model better in many situations and in unpromising violence-disposed to the situation.
Performance Analysis of Feature-Based Automated Measurement of Mouse Social Behavioral
Automated social behavior analysis in the mammalian animal has become an increasingly popular and attractive alternative to traditional manual human annotation with the advancement of machine learning and video tracking system for automatic detection. In this work, we study a framework of how different features perform on the different classifiers to analyze automatic mice behavior. We conducted experiments on the Caltech Resident-Intruder Mouse (CRIM13) dataset, which provides two types of features: trajectory features and spatio-temporal features. With this feature, we train AdaBoost and Random Decision Forest (TreeBagger) classifiers to classify different mouse behaviors to show which features perform best on which classifier. The experimental result shows that the trajectory features are more informative and provide better accuracy than the widely used spatio-temporal features, and AdaBoost classifier shows better performance than the TreeBagger on these features.
Managing Mental Health during COVID- 19 Pandemic and Beyond
The novel coronavirus disease 2019 (COVID-19) pandemic is a global public health crisis of a scale not previously experienced in modern times. The whole of humanity is sharing a problem that is changing the world, and humans are living under more uncertainty. Most people have been feeling intense anxiety related to COVID-19 and the aftermath the world will leave in its wake. The paper intends to put up a deeper understanding of the anxiety reaction about various aspects of current life. Clear strategies for managing and turning off the anxiety response for short periods is developed based on the understanding of how one’s brain reacts to crises along with some powerful tools for managing the pandemic. The paper explores some of the strategies to address mental health during COVID-19.
Copyright (c) 2025 IITM Journal of Management and IT
A Qualitative Study to Identify the Issues of Employers Employing Migrant Workers
The present study is the identi cationof issues of employers by employing migrant workers. The study was conducted in the steel manufacturing companies in Kerala. This is a qualitative study used semi- structured questionnaire to identify the issues from the respondents. The respondents was HR managers of the company. Thematic analysis was utilised to evaluate the interview data.The study found that the employers were faced with 1. Job related issue2. Individual issue 3. Managerial issue 4. Performance issue 5. Relationship issue 6. Behavioural issue.
A Study on Causes of Occupational Stress at Small Scale Manufacturing Units in Selected Industry of South Gujarat
Stress management refers to the procedure of various methods to manage a person’s intensity of stress, especially never-ending stress, to develop smooth functioning of the person. The main purpose of this paper is to the study the stress management practices adopted by small scale manufacturing units, analyze the factors in uencing stress. The sample size of 107 employees of selected from various small scale manufacturing units in selected industry of South Gujarat. The primary data was collected through questionnaire. Analysis was done by using Chi-square. The result of the study proves that the employees of various ages have no signi cant difference of feeling stress at workplace; it does have impact on the level of stress among the employees on age. This result proves that age of the employees have signi cant impact on the level of stress among the employees.
Non-executive-Independent Directors, Pay-performance Sensitivity Analysis of Bombay Stock Exchange (BSE)-260 Firms
There are plethoras of studies on CEO’s compensation unlike non-executive independent director compensation; this study uses data of independent director compensation to examine the relation between independent director compensation and  rm performance by using perspective from agency and institution theory. The design of the study is for two years 2005 and 2010, from BSE-500 companies listed in India because these two years are crucial for testing the corporate governance policy related to independent directors compensation. The  ndings provide opportunistic behavior on part of Independent director in relation to their compensation and shareholders wealth as well weak institution norms with respect to compensation structure.
Job Satisfaction among Millennials: The Role of Procedural, Distributive, and Interactional Justice
The authors examined the relationship between organizational justice and job satisfaction among millennial managerial employees. Three forms of justice: the procedural, distributive and interactional were individually investigated questionnaires to predict job satisfaction among 303 employees of  ve bank employees. The study shows a positive association between organizational justice and job satisfaction. All the three forms of justice: procedural, distributive and interactional forms showed a signi cant relationship with job satisfaction. The data reveals job satisfaction among millennial junior managerial employees depends upon organizational justice. Though the study was conducted in Mumbai Metropolitan multi-cultural environment, it may be expected that the  ndings may have relevance on a broader scale to other sectors and may be attempted to develop a new organizational justice model for millennial employees.
A Study on Mobile Applications in Education
Mobile applications are the gateway to transfer human knowledge. Learning is a continuous process and the focus has now completely shifted to eLearning. Due to the mobile phones and the various feature-oriented applications, students can learn at their pace and take their time at understanding things, as everything is just a click away. Integration of Mobile in teaching learning process have generated a new era in education. It makes teaching learning process more interactive and effective. It can help to bring quality education to everyone from everywhere. The implementation of mobile Apps and technologies as a whole, can offer many benefits to the university learning environment. This paper discusses the use of mobile applications in higher education sector and the subject specific mobile applications.
Is CSR aligned to SDGs? – A Study of CSR Programs in Education
In 2013, Corporate Social Responsibility (CSR) was made mandatory to encourage public-private participation in sustainable development aimed at reducing income inequalities. Corporates invest CSR in education, healthcare, and rural development, thus supporting public welfare. CSR spend has steadily increased over the years. The study was conducted to understand the trends in CSR spend and how CSR is mapped or linked to Sustainable Development Goals (SDGs). The study examines the qualitative and quantitative aspects of CSR and examines how corporates map CSR to SDGs. The study examined the  nancial reports of ten corporates to analyze the nature of CSR spend. To determine whether CSR is aligned to SDGs, the CSR interventions in Education were examined and analyzed against the country speci c SGD - 4 targets set by the United Nations. The study reveals that Education is the biggest benefactor of CSR spend. CSR interventions in Education are aligned with the SDG targets. However, due to challenges in interpreting data an exact measurement is not possible. Gaps exist in implementation of CSR. A collaboration approach adopted by Government will help corporates to ef ciently invest CSR in the SDG targets.
Need of Optimum Faculty-Student Rapport and Wise Use of Technology in Classroom Environment: An Empirical Study Conducted in Private Institutions of NCR, India
It is very disappointing to see that attraction towards engineering colleges among students of India is declining. Management education seems to promise more to the students. National newspapers of India have given space to headlines sharing closure and shut down of many private institutions and colleges. This situation needs serious thought. Are all the engineering and management institutions fairing bad in terms of admissions or some are more insecure than others? Market situations, pressures of globalization, competition cannot be controlled however, what can be nurtured well is our existing set of students so that their performance and results speaks for itself and so does their behaviour. Engineering and management institutions boast a lot about collaboration with foreign universities from developed countries however; one thing to learn from these foreign universities is their optimum level of faculty-student relationship as well as classroom environment that prevails in their institutions. This research paper, primarily based on primary research conducted in private institutions imparting engineering and management education, recommends a need to focus on optimum faculty-student rapport and wise use of technology to gain disciplined classroom environment.
Research in the field of crowd funding has been emerging in India over past few years. This is due to the release of the consultation paper by SEBI in June 2014. Crowd funding is a newly introduced concept in India highlighting the use of technology. This concept has helped a lot of emerging startups and SMES raise funds for commencement of their businesses. It is a digital platform for the people willing to invest and for the people who wants investment, whereby the whole process is conducted over the internet having worldwide reach. Crowd funding though beneficial, investors in India have adapted themselves to the traditional way of funding making them reluctant to switch to new methods of raising finance. This article aims at examining the entire concept of crowd funding in India and the factors hindering its growth.
Copyright (c) 2019 IITM Journal of Management and IT https://creativecommons.org/licenses/by-nc-nd/4.0
Impact of Organizational Culture on Employee Engagement and Effectiveness in Indian Manufacturing Company
Engagement of employees is considered as a robust indicator of outcomes that are highly valued by any business in any sector of the industry. Therefore, employee engagement and effectiveness could prove to be an excellent parameter to assess the health of the organization as such with regards to satisfaction, innovation, commitment, retention and productivity. Organizations that are observed to have a positive organizational culture tend to offer rewards to their employees which in turn leads to the creation of an environment that is enabling, allowing employees to grow, develop and function at their utmost potential. This particular study was carried out to understand the impact of organizational culture on employee engagement and effectiveness within the Indian manufacturing sector. This study was outlined on the basis of the structural approach theory and adopted a secondary research methodology where the data for the study was gathered through secondary sources derived from researches conducted by researchers in the past and available from scholarly sites. The study outlines four types of organizational culture which included; power culture, role culture, achievement culture and support culture. Each of the said cultures had a varying impact on the engagement and effectiveness of the employees. The findings of this research indicated that the culture of the organization had a largely positive and significant impact on engagement and effectiveness of employees. It was also observed that employees who were empowered to utilize their discretion at their organizations tend to project higher levels of enthusiasm and this is clearly a trait of an employee who is thoroughly engaged
There are different types of encryption techniques used to ensure the privacy of data transmitted over internet. Digital Signature is a mathematical scheme that ensures the privacy of conversation, integrity of data, authenticity of digital message/sender and non-repudiation of sender. Digital Signature is embedded in some hardware device or also exits as a file on a storage device. Digital Signature are signed by third party some certifying authority. This paper describes the different key factor of digital signature with the working, through various methods and procedures involved in signing the data or message by using digital signature. It introduces algorithms used in digitalsignatures. Many traditional and newer businesses and applications have recently been carrying out enormous amounts of electronic transactions, which have led to a critical need for protecting the information from being maliciously altered, for ensuring the authenticity, and for supporting nonrepudiation. Just as signatures facilitate validation and verification of the authenticity of paper documents, digital signatures serve the purpose of validation and authentication of electronic documents. This technology is rather new and emerging and expected to experience growth and widespread use in the coming years.
ICT Initiatives and Tools in Higher Education
ICT has changed the picture of Indian higher education system as more and more technological intervention is being infused with the usual ways of teaching. ICT plays a vital role by making available the knowledge resources to every learner as per his/her convenience and just in time. ICT has tremendously upgraded the quality of education through various mechanisms like elearning, blended learning and distance education. It has increased the access of and imparted equity in higher education through increasing digitization and quality teaching learning which benefits not just students' learning but also has open ways to build capacity of educational personnel. This paper is a descriptive analysis of the increasing use of and various initiatives in the field of education pertaining to the use of ICT in India and its contribution in imparting quality in education and its subsequent benefits.
A Brief Survey of Cryptocurrency Systems
Information and communication Technology (ICT) have change the state of life from the last few years because many activities of daily life have been merged online and they become more productive. Cryptocurrency is specific type of virtual currency which works on the principles of cryptography and electronic medium communication. It gain lots of attention in the recent years. Cryptocurrency has decentralized control and is controlled by non-government bodies. It opposes the centralized digital currency and central banking system because of its decentralized feature. It revolutionizes the digital trade market by creating a free flow trading system which works without any third party. The usage of virtual money or currency has widespread in recent years. this paper highlight the introduction of cryptocurrency, its history , some aspects of it ,working of cryptocurrency and also highlight the future of cryptocurrency in India.
ICT in Higher Education: A Review of Issues, Challenges and Solutions with Special Reference to India
The advancements achieved in the field of Information and Communication Technology (ICT) has its implications in almost all the fields known and Education is one of them. Education is itself referred to as a communication process, so the progress in ICT has proven to be playing an essential supportive role for the same. Higher Education is education, training and research guidance taking place at the post-secondary level. And at this level, the student is expected to understand higher-order concepts which are many times hard to assimilate. The use of ICT proposes various ways to simplify the approach. ICT helps in increase in the speed of learning, consistent instruction, higher and strengthened understanding, effective evaluation, simplified training management, obtaining efficient output and similar other benefits. But dealing related issues, on the other hand, is equally important. Ensuring the quality of content, attitudes of teachers and students, lack of technical support and cost are the major issues of ICT in educational implementation. Making Artificial Intelligence compatible with educational needs and making it able for emotion-involved communication is the main future challenge. Level of ICT awareness and continuous development of the ICT tools for educational implementation is must for the ICT enabled learning to grow in higher education. Educators are required to be aware of the effective use of ICT which ensures the highest level of mental development of the students so that their mental growth is not disturbed because it is easy to represent the content applying visual technology but that does not let the student-run his mind for conceptualization. That is why proper training programs focusing especially on this issue are required to be conducted by the respective authorities. The research article mainly focuses upon all these issues and challenges and propose effective solutions.
Effects of Video Games on Mental Concentration
In modern age, technology has dominated our life so deeply that libraries have shrunk to computer servers and playgrounds have shrunk to gaming consoles. The latter has influenced the mind and body. Present study which is based on the method of questionnaire surveys young people who have been playing computer games. Here we attempt to find out if there is any positive or negative impact on the mental concentration power of the gamers. It has been found that there is a positive effect on the power of concentration, but signs are also there of the other way round. Within the limits of this study, it shows some direction for further studies.
With the rapid increase in the users of internet over the past decade has made internet a part and parcel of life, and IoT is the latest and emerging internet technology. IoT (Internet of things) waves us to the world where we can connect, interact and command any device using the internet. As the technology is developing everything becomes automated. ProgX Programmable extension board using IoT is a prototype that can be controlled by a NodeMCU Esp8266 microcontroller and transform an ordinary home into an automated home without secondary construction. This prototype is designed to be lowcost and expandable allowing a variety of devices to be controlled. It will acquire the signal through Wi-Fi and then Esp8266(µc) will respond according to the signal. ProgX also allows the user to schedule and automate his/her devices by setting a clock-based interrupt using IFTTT. Additionally, a user can check the status of connected devices by a physical LEDs present on the device and storing the data in the cloud service.
Design and Development of Arduino Based Contactless Thermometer
In present situations, social distancing is the most important fact. Furthermore, the fact is COVID-19 patient's first symptom is body temperature is high. The reason why, measuring body temperature is most important, but needs to maintain social distancing. While traditional thermometers can't make sure of social distancing, where our developed contactless thermometer can achieve temperature on display by using Arduino unoR3 as the main control device as well as MLX90614 as the infrared (IR) thermometer sensor. As a result, compared with the traditional thermometer, it shows strong points such as convenient reading, wide range of temperature measurement, and accuracy where temperature output is displayed digitally. Besides, it would be used everywhere because of its easy-handling.
Cooperative Spectrum Sensing with Selection Diversity Reception in Cognitive Radio
Cognitive radio (CR) is a promising technology where spectrum sensing is the key factor for the recent and future generations. Detection is compromised when a person reports shadowing or fading consequences and that's why performance of spectrum sensing is developed by cooperative spectrum sensing methods. This paper emphasizes on the performance of Cooperative Spectrum Sensing with Selection Diversity Reception in CR. Fusion rule is played at the data fusion center (FC) to take the hard decision by performing the operation of the received signal from different CR users and eventually, the paper shows that the OR rule has better performance than AND as well as MAJORITY rule in Rayleigh fading.
Mst Ashrafunnahar Hena Ashrafunnahar Hena
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In this paper we discuss about what is artificial intelligence? Awareness is only marginally relevant to artificial intelligence (AI), because to most researchers in the field other problem seem more pressing. However, there have been proposals for how awareness would be accounted for in a complete computational theory of mind. Artificial intelligence is also science of automating intelligence behaviors currently achievable by humans. There is a large amount of subjectivity in what exactly constitutes artificial intelligence. And the power system has grown tremendously over a few decades, as the size and complexity of the power system consisting of generations, transmission line, and distribution transformation etc. increase the possibility of inviting faults. In the future, intelligent machines will replace or enhance human capabilities in many areas. Artificial intelligence exhibited by machine or software. It is the subfield of computer science. Application areas of artificial intelligence is having a huge impact on various field of life as expert system is widely used these days to solve the complex problem in various areas as science, engineering, weather forecasting. It will consider the areas employing the technology of artificial intelligence. This paper will briefly discus some of the technology and the application areas.
Artificial Neural Network in Developing Software Project Telemetry Metrics
Software development is very slow process, expensive process & error prone usually resulting in the products with a huge number of problems which cause serious and major mistakes in usability, reliability, and performance. To overcome this problem, software measurement provides a systematically and empirical-guided approach to control and Improve software development process. However, due to high cost linked with "metrics collection" and the difficulties in "metrics decision-making," measurement is not universally adopted by software organizations. However Software Project Telemetry is still one of the finest Solutions to this problem. The Conventional approach in software project telemetry is to use few automatic sensors to collect all metrics & further decision making is done based on them. But the main problem comes when it becomes very difficult to classify the collected metrics data & that's why if we need trained intelligent sensor based software project telemetry, it is ideal to use artificial neural network.
Blockchain Technology in Banking and Finance
Blockchain Technology has proven to be or will prove to be a very essential Technology in the coming future, as it secures and safeguards the information-or here referred to as a transaction. This Technology enables in the elimination of the third-party involvement, which is needed for the level of trust in the exchange of data-transaction. This is one of the root causes of this Technology to impact the business models throughout the industries, it will affect the working of the industries and these industries will have to substantially change their business models and structure to actually grow with the growing Technology.
Tuning Parameters Using Machine Learning for Minimizing Slowness of Traffic in Smart Cities
In recent years a drastic change is noticed in a traffic flow that has undergone significant changes such as competition, work style, heavy duties, and hectic timings. In regards to these changes, the main concern is the environment, commercial market, customer satisfaction, restrictions, and a competitive edge. Urban logistics and consumer markets highly depend on the moment and travel. Due to which the traffic inflows and outflows are increased drastically. To manage such huge flow's traffic is monitored and behavior is observed from the analytical end. In this article, urban traffic parameters are considered which affect the slowness inflow. These parameters are tuned using machine learning methods. The study extracts certain parameters that are critical and attention is majorly required. The extracted parameters are thereby tuned by facilitating requirements in order to improve the flow of traffic. Tuning uses machine learning methods for predicting the behavior of traffic for a week's time in urban cities.
Deep Neural Network for the Automatic Classification of Vertebral Column Disorders
In the human body, the vertebral column consists of vertebras, nerves, invertebrate discs, medulla, joints, and muscles, which provides support for body and movement axle. Dysfunction to any of the above components in this complex system creates disorders like Disc hernia and Spondylolisthesis. Manually classifying these disorders is a difficult task. Recently Machine learning (ML) techniques were applied in automating the vertebral column disorder classification. In this work, we applied Deep Neural Network (DNN) to classify the vertebral column dataset with three classes (Normal, Disk Hernia, and Spondylolisthesis). The vertebral column dataset was collected from the UCI machine learning database repository and has 310 records for training and testing with six biomechanical attributes. The classification accuracy and F-score for the DNN classifier in the vertebral column dataset is 85% and 83% respectively. Comparison with existing ML systems shows that our DNN based classification approach exhibits promising results.