Turkish Journal of Computer and Mathematics Education (TURCOMAT)

Journal Information
ISSN / EISSN : 1309-4653 / 1309-4653
Current Publisher: Auricle Technologies, Pvt., Ltd. (10.17762)
Former Publisher: Turkish Journal of Computer and Mathematics Education (10.16949)
Total articles ≅ 2,022
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Latest articles in this journal

Guo Hui Li Hongwei
Turkish Journal of Computer and Mathematics Education (TURCOMAT), Volume 12, pp 1687-1695; doi:10.17762/turcomat.v12i11.6103

Technology readiness of products, services, organisations and consumers have been widely studied from different perspectives. This research aims to synthesize the themes of technology readiness through a systematic review of articles published in the time-period of 1995-2018 and further develop a technology readiness loop model for commercial new technology development. The applicability, use of the model and further research directions were recommended.
Et. Al. M. Suresh
Turkish Journal of Computer and Mathematics Education (TURCOMAT), Volume 12, pp 1986-1997; doi:10.17762/turcomat.v12i11.6155

Smart metering is a recently developed research area over the globe and it appears to be a remedy for increasing prices of electricity. Electricity consumption forecasting is an essential process in offering intelligence to smart girds. Rapid and precise forecasting allows a utility provider to plan the resources and also to take control actions to balance the electricity supply and demand. The customers will advantage from the metering solutions by a greater understanding of their own energy utilization and forthcoming projections, allowing them to effectively manage the cost of their consumption. In this view, this paper presents an Integration of Autoregressive Integrated Moving Average (ARIMA) Model with Neural Network (NN) for Electricity Consumption Forecasting using Smart Meter Data. As the time series data often does not hold linear as well as nonlinear patterns, ARIMA or NN models are not enough to model and predict the time series data. The ARIMA-NN model will be trained using the data and generates a model. Afterward, the generated model can be utilized to predict the electricity consumption by the application of new building data. The proposed ARIMA-NN model is evaluated and the simulation outcome strongly pointed out its superior performance over the compared methods. The presented model has obtained effective testing performance with the MAPE of 25.53, an accuracy of 48.38, and MSE of 0.21.
Et. Al. Djumanova Aijan Baxtiyarovna
Turkish Journal of Computer and Mathematics Education (TURCOMAT), Volume 12, pp 693-696; doi:10.17762/turcomat.v12i11.5951

The article deals with the problem of implementing management accounting in the domestic practice of logistics systems. Which is of paramount importance due to the need for in-depth research of the economic nature, essence and content of management accounting, its fundamental theoretical foundations, for making informed management decisions.
Et. Al. K.Ranga Narayana
Turkish Journal of Computer and Mathematics Education (TURCOMAT), Volume 12, pp 697-703; doi:10.17762/turcomat.v12i11.5952

In present scenario, tracking of target in videos with low resolution is most important task. The problem aroused due to lack of discriminatory data that have low visual visibility of the moving objects. However, earlier detection methods often extract explanations around fascinating points of space or exclude mathematical features in moving regions, resulting in limited capabilities to detect better video functions. To overcome the above problem, in this paper a novel method which recognizes a person from low resolution videos is proposed. A Three step process is implemented in which during the first step, the video data acquired from a low-resolution video i.e. from three different datasets. The acquired video is divided into frames and converted into gray scale from RGB. Secondly, background subtraction is performed using LBP and thereafter Histogram of Optical Flow (HOF) descriptors is extracted from optical flow images for motion estimation. In the third step, the eigen features are extracted and optimized using particle swarm optimization (PSO) model to eliminate redundant information and obtain optimized features from the video which is being processed. Finally to find a person from low resolution videos, the features are classified by Support Vector Machine (SVM) and parameters are evaluated. Experimental results are performed on VIRAT, Soccer and KTH datasets and demonstrated that the proposed detection approach is superior to the previous method
Et. Al. Dr. Saikumari V
Turkish Journal of Computer and Mathematics Education (TURCOMAT), Volume 12, pp 411-416; doi:10.17762/turcomat.v12i11.5892

In today’s corporate world, many companies and organization are increasingly focusing on human capital as a competitive advantage in rapidly changing environment. Many successful companies realize that their employees are their greatest asset. Therefore, companies are increasingly investing in educating their own employees so that they can grow and change within the company and make it more profitable. The range of training opportunities varies considerable from company to company so, when researching potential employers, it is important for job seekers who care about this to investigate the level and type of training provided to employees. After employees have been selected for various positions in an organization, training them for specific tasks to which they have been assigned assumes greater importance. This study suggests the organization to implement more modern training methodologies, then to provide practical training to the employees and to provide specific learning assignments or projects for participants to improve on their competency gap.
Et. Al. C.S. Karunakaran
Turkish Journal of Computer and Mathematics Education (TURCOMAT), Volume 12, pp 1964-1970; doi:10.17762/turcomat.v12i11.6151

The paper focuses on the technological needs in Indian aircraft maintenance training sector towards reducing the human errors and to enhance the maintenance reliability. An overview of Indian MRO s’ skill requirements and the immediate necessity to improve the standards in maintenance human factors and technology based training is elaborated. The existing level of Indian AMT training in comparison to international standards are discussed to spot the areas with scope of improvement and the weak link in existing process. Need of maintenance training with intense knowledge and practical exposure can downturn maintenance errors and aid in cutting cost of the maintenance expenditure by increasing reliability were discussed. Impact of Computerised Maintenance Management System (CMMS), in augmenting current maintenance performance and its importance in terms of efficient operation and Labour maintenance were reviewed. Technology identification to address the need for improvement in traditional training, using the applications of Virtual Reality (VR) and Augmented Reality (AR) in maintenance training would equip the Aircraft Maintenance Trainees (AMT’s) with complete knowledge and practice were analysed. This view point can be a thought provoking research to evaluate a right road map for improving the current Indian aircraft maintenance training sector to global standards resulting in optimising the state of India’s MRO self-reliance ability.
Et. Al. Sobia Wassan
Turkish Journal of Computer and Mathematics Education (TURCOMAT), Volume 12, pp 7116-7135; doi:10.17762/turcomat.v12i10.5603

Artificial intelligence brings large markets, including advertising, tourism, finance, policy, workplace education. We probably associated with Chabot's job (defined as an automated, but personalized, a conversation between software and human users). We plan to use Chatbots in the workplace to assist us in pursuing a new career, addressing human resource questions, and also accepting coaching and mentoring after using them further in our personal lives. Since Chabot digitizes human resource programs, workers can access HR solutions from anywhere. HR artificial intelligence can result in a more streamlined, scalable and user-driven employee interface. To find the convergence between artificial intelligence and human resources, HR executives started using Chatbots in recruiting, staff service, staff production, and preparing to create greater value for the company. Indeed, Chabot's can be treated as the HR team's newest participant, capable of quickly finding solutions to commonly asked questions. Since we've grown accustomed to Chabot's in our everyday lives, we intend to use them at work. Artificial intelligence is changing how career applicants and workers interact. Five operational procedures are supposed to kick-start this new transformation when managers begin to implement artificial intelligence plans and roadmaps: 1. Experiment with different Chatbots to learn artificial intelligence. 2.Develop a joint strategy for HR, IT, Real Estate, Communitarians and Digital Transformation cross-functional partners; 3.Recognize how deployment can affect the technology roadmap; 4 Identify new job tasks that will make full usage of AI in HR; 5 Improve the understanding of artificial intelligence in the workplace by the HR team.
Saleem. Abdulmageed Al-Jazzazi
Turkish Journal of Computer and Mathematics Education (TURCOMAT), Volume 12, pp 340-348; doi:10.17762/turcomat.v12i7.2587

Cervical radiculopathy Syndrome (CRS) is a common neuro-musculo-skeletal disorder causing pain and disability. Manual therapy interventions including cervical traction with other treatment modalities have been advocated to decrease pain and disability caused by cervical radiculopathy (CR). Al-Qudah & AL-Jazzazi (2021) conducted a new method of Spinal Decompression Therapy (SDT) in patients with Chronic Lumbar Disc Herniation (CLDH) which includes Combination of Lumbar Traction With Cervical Traction (CLTCT) as one intervention. Despite of that this new method clinically reduces pain and disability more effectively than the conventional types of Traction, CLTCT method was not previously used in CR patients nor with Cervical Disc Herniation (CDH). The clinical effectiveness of this new method with other treatment modalities in patients with CRS was not approved yet. OBJECTIVE: The purpose of the presented work is to identify the effectiveness of rehabilitative program on patients with Cervical Radiculopathy, by (15) sessions for (4) Weeks. The suggested Rehabilitative program consisted of: 1.Supine Soft Full Back, Shoulders and Neck Cupping Massage (CM) for (10) minutes, 2.CLTCT: Combined Lumbar Traction with Cervical Traction as one intervention for (20) minutes, 3.Gradual Therapeutic Exercise Package of Neck Stretching and Strengthening Exercise for approximately (15) minutes. METHODS: In this study, Five outdoor male patients had accepted to participate and were randomly chosen from Al-Karak Governmental Hospital, All subjects applied the proposed rehabilitative program. The results were analyzed using the SPSS system. RESULTS: indicates that there was statistically significant difference between the pre and post measurements in favor of the post measurements in terms of Pain, Disability. CONCLUSIONS: The present study demonstrated that the use of proposed rehabilitative program has a positive effect on patients with Cervical Radiculopathy.
Balal Sohail Et. Al.
Turkish Journal of Computer and Mathematics Education (TURCOMAT), Volume 12, pp 5776-5787; doi:10.17762/turcomat.v12i3.2254

Macro based Malware has taken a great rise is these recent years, Attackers are now using this malware for hacking purposes. This virus is embedded inside the macro of a word document and can be used to infect the victim’s machine. These infected files are usually sent through emails and all antivirus software are unable to detect the virus due to the format of the file. Due to the format being a rich text file and not an executable file, the infected file is able to bypass all security. Hence it is necessary to develop a detection system for such attacks to help reduce the threat. Technical research is carried out to identify the tools and techniques essential in the completion of this system. Research on methodology is done to finalise which development cycle will be used and how functions will be carried out at each phase of the development cycle. This paper outlines the problems that people face once they are attacked through macro malwares and the way it can be mitigated. Lastly, all information necessary to start the implementation has been gathered and analysed
A.S Keerthi Nayani Et. Al.
Turkish Journal of Computer and Mathematics Education (TURCOMAT), Volume 12, pp 5720-5725; doi:10.17762/turcomat.v12i3.2247

The aspire of the manuscript be near apply a 14T Full adder unit, so as to make use of little power by means of XOR and XNOR gate . The 4-bit binary adder is constructed in ripple carry adder arrangement. It has been urbanized for little power utilization in falling the no. of transistor. The power utilization be able to abridged by 49% with planned FA difference ate through regular FA. Every one replication outcome contain be approved elsewhere by with 32 nm CMOS technology. The replication outcome of 1-bit adder planned FA shows so as to the planned FA have little power utilization. The hardware accomplishment of 14T FA be agreed with Deep Sub micron Technology
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