Performance Investigation of Software Agents in Artificial Intelligence and Document Object Model Domain

Abhijit Bora, Tulshi Bezboruah

Abstract


Assessing the performance impact of Artificial Intelligence on questionnaires of pharmacological unit is necessary from the perspective of medical practitioners as well as patient’s perspectives.  The proposed study ascertained that software agents based on Artificial Intelligence and Document Object Model domain can deliver better service in medical units in contrast to its other deployment methodologies. So, the proposed work, a prototype is developed by using dialog control class file which accesses the system resources through the kernel objects. We call the software agent as MBot (prototype bot for medical unit). The prototype is deployed for pharmacological unit where the clinical instruction against the disease can be suggested. The experimental arrangement, deployment architecture of MBot, performance metrics and the statistical analysis for the observed data sample are discussed here. The novelty of the proposed work highlights the performance aspects of MBot against its counterpart. It reveals that better response time and validates that the dialog controller class of MBot can process questionnaires through its intelligence.

Keywords


Artificial Intelligence, Document Object Model, AIML, Python

References


Ramos, C., Augusto, J. C., Shapiro, D. Ambient intelligence - The next step for articial intelligence, IEEE Intell. Syst.,(2008), 23(2) : 5-18.

Schumaker, R. P., Chen, H. Interaction analysis of the ALICE chatterbot: A two-study investigation of dialog and domain questioning, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans, (2010); 40(1): 40-51.

Ren, X., Yu, B., Lu, Y., Chen, Y., Pu, P. HealthSit: Designing posturebased interaction to promote exercise during tness breaks, Int. J. Hum. Comput. Interact.,(2019); 35(10): 870-885.

Palanica, A., Flaschner, P., Thommandram, A., Li, M., Fossat, Y. `Physicians' perceptions of chatbots in health care: Cross-sectional web-based survey, J. Med. Internet Res.,(2019); 21(4) e12887. https://doi.org/10.2196/12887

Powell, J. Trust me, I'm a chatbot: How articial intelligence in health care fails the turing test, J. Med. Internet Res.,(2019); 21(10).

Ilgaz, H., Altun, A., Akar, P. The effect of sustained attention level and contextual cueing on implicit memory performance for e-learning environments, Comput. Hum. Behav.,(2014); 39:1-7.

Shodell, M.. The question-driven classroom: student questions as course curriculum inbiology. The American Biology Teacher, (1995); 57(5): 278-281.

Rezaee, M. S., Haeri, A., Noori, S. Automotive Vendor’s Performance Evaluation and Improvement Plan Presentation by Using a Data Envelopment Analysis. International Journal of Engineering, Transactions B: Applications, 2018; 31(2): 374-381, DOI: https://doi.org/10.5829/ije.2018.31.02b.23

Mokhtari, H., Noroozi, A., Molla-Alizadeh-Zavardehi, S. A Reliability based Modelling and Optimization of an Integrated Production and Preventive Maintenance Activities in Flowshop Scheduling Problem. International Journal of Engineering, Transactions C: Aspects, 2015; 28(12): 1774-1781, DOI:

https://doi.org/10.5829/idosi.ije.2015.28.12c.10

Bhardwaj, C., Jain, S., Sood, M. Automatic Blood Vessel Extraction of Fundus Images Employing Fuzzy Approach, Indonesian Journal of Electrical Engineering and Informatics (IJEEI), (2019); 7(4):757-771, DOI: 10.11591/ijeei.v7i4.991

Hutchinson, H., Hansen, H., Roussel, N., Eiderbäck, B., Mackay, W., Westerlund, B., Bederson, B. B., Druin, A., Plaisant, C., BeaudouinLafon, M., Conversy, S., Evans, H. Technology probes: Inspiring design for and with families, in Proc. Conf. Hum. Factors Comput. Syst. (CHI), (2003);17-24.

Chiuchisan, I., Geman, O. An approach of a decision support and home monitoring system for patients with neurological disorders using Internet of Things concepts, WSEAS Trans. Syst.,(2014); 13(1):460-469.

Fakeeh, K. A. Developing virtual class room models with bio inspired algorithms for E-learning: A survey for higher technical education for Saudi arabia vision 2030, Int. J. Appl. Inf. Syst., (2017); 12(8):8-21.

Wu, Y., Wu, W., Xing, C., Zhou, M., Li, Z. Sequential matching network: A new architecture for multi-turn respons selection in retrievalbased chatbots, in Proc. 55th Annu. Meeting Assoc. Comput. Linguistics, (2017); 496-505.

Jamshidi, R. Bi-level Model for Reliability based Maintenance and Job Scheduling. International Journal of Engineering, Transactions C: Aspects, 2018; 31(3): 432-439, DOI: https://doi.org/10.5829/ije.2018.31.03c.05

Harper, K. A., Etkina, E., Lin, Y. Encouraging and analyzing student questions in a large physics course: Meaningful patterns for instructors. Journal of Research in Science Teaching, 2003; 40(8), 776-791.

Brandtzaeg, P. B., & Følstad, A. Why people use chatbots, In Proc. of International Conference on Internet Science, (2017); 377-392.

Verleger, M., Pembridge, J. A Pilot Study Integrating an AI-driven Chatbot in an Introductory Programming Course, IEEE Frontiers in Education Conference (FIE), (2018); 1-4, DOI: 10.1109/FIE.2018.8659282.

Rajkumar, R. Ganapathy, V. Bio-Inspiring Learning Style Chatbot Inventory Using Brain Computing Interface to Increase the Efficiency of E-Learning, IEEE Access, (2020); 8: 67377-67395, DOI: 10.1109/ACCESS.2020.2984591.

Ren, X., Spina, G., De Vries, S., Bijkerk, A. , Faber, B., Geraedts, A. Understanding Physician’s Experience With Conversational Interfaces During Occupational Health Consultation, IEEE Access, (2020); 8: 119158-119169, DOI: 10.1109/ACCESS.2020.3005733.

Zhang, L., Yang, Y., Zhou, J., Chen, C. , He, L. Retrieval-Polished Response Generation for Chatbot, IEEE Access, (2020), 8: 123882-123890, DOI: 10.1109/ACCESS.2020.3004152

Ait-Mlouk, A., Jiang, L. KBot: A Knowledge Graph Based ChatBot for Natural Language Understanding Over Linked Data, IEEE Access, (2020); 8:149220-149230, DOI: 10.1109/ACCESS.2020.3016142.

Daniel, G., Cabot, J., Deruelle, L., Derras, M. Xatkit: A Multimodal Low-Code Chatbot Development Framework, IEEE Access, (2020); 8:15332-15346, DOI: 10.1109/ACCESS.2020.2966919

Bora, A., Bezboruah, T. Evaluating the Reliability of PwCOV: A Loosely Coupled Software as a Service for COVID-19 Data Processing System, International Journal of Engineering, Transactions C: Aspects, 2020; 33(12) : 2496-2502.

Bora, A., Bezboruah, T. Investigation on reliability estimation of loosely coupled software as a service execution using clustered and non-clustered web server. International Journal of Engineering, Transactions A: Basics, 2020; 33(1) : 75-81, DOI: https://doi.org/10.5829/ije.2020.33.01a.09

Lidia Martins da Silva, Lucas Pfeiffer Salomão Dias, Sandro Rigo, Jorge Luis Victória Barbosa, Daiana R. F. Leithardt, Valderi Reis Quietinho Leithardt, A Literature Review on Intelligent Services Applied to Distance Learning, Education Sciences, (2021); 11(666), DOI:https://doi.org/10.3390/educsci11110666.

Daniel, G., Cabot, J. The Software Challenges of Building Smart Chatbots, IEEE/ACM 43rd International Conference on Software Engineering: Companion Proceedings (ICSE-Companion), (2021), 324-325, DOI: 10.1109/ICSE-Companion52605.2021.00138.

Chen, T. Y., Chiu, Y. C., Bi, N., Tsai, R.T.H. Multi-Modal Chatbot in Intelligent Manufacturing, IEEE Access, (2021); 9:82118-82129, DOI: 10.1109/ACCESS.2021.3083518.

Abdulelah, A.J., Al-Kubaisi, M., Shentaf, A.M. An Efficient Human Activity Recognition Model Based on Deep Learning Approaches, Indonesian Journal of Electrical Engineering and Informatics (IJEEI), (2022); 10(1):177-186, DOI: 10.52549/ijeei.v10i1.3438

Altayeb, M., Al-Ghraibah, A., Voice controlled Camera Assisted Pick and Place Robot Using Raspberry Pi, Indonesian Journal of Electrical Engineering and Informatics (IJEEI), (2022); 10(1):51-59, DOI: 10.52549/ijeei.v10i1.3636

Perforamnce Monitor (2022). Retrieve on 8 July , 2022 from, https://en.wikipedia.org/wiki/Performance_Monitor

P-value analysis (2022). Retrieve on 6 July , 2022 from, https://www.investopedia.com/terms/p/p-value.asp

Kalita, M., & Bezboruah, T. Investigation on performance testing and evaluation of PReWebD: A. NET technique for implementing web application. IET Software, (2011); 5(4), 357–365. DOI:10.1049/ietsen.2010.0139

Medhi, S., & Bezboruah, T. Investigations on implementation of e-ATM Web Services based on. NET technique. International Journal of Information Retrieval Research, (2014); 4(2), 42–51

Saddik, A. E. Performance measurement of Web Service based application. IEEE Transactions on Instrumentation and Measurement, (2006); 55(5), 1599–1605. DOI:10.1109/TIM.2006.880288

Bezboruah, T. & Bora, A. Performance Evaluation of Hierarchical SOAP Based Web Service in Load Balancing Cluster-Based and Non-Cluster-Based Web Server, International Journal of Information Retrieval Research, (2015); 5(4),20-31, DOI: 10.4018/IJIRR.2015100102


Full Text: PDF

Refbacks

  • There are currently no refbacks.


 

Indonesian Journal of Electrical Engineering and Informatics (IJEEI)
ISSN 2089-3272

Creative Commons Licence

This work is licensed under a Creative Commons Attribution 4.0 International License.

web analytics
View IJEEI Stats

https://bundamediagrup.co.id/depo10k/https://bundamediagrup.co.id/akun/demo/https://loa.tsipil-uii.ac.id/sg-gacor/http://snabm.unim.ac.id/depo-10k/http://snabm.unim.ac.id/lib/slot-maxwin/http://103.165.243.97/doc/sign/slot-thailand/https://appv2.tanahlautkab.go.id/doc/unsign/http://mysimpeg.gowakab.go.id/mysimpeg/maxwin/https://ijatr.polban.ac.id/toto/https://loa.tsipil-uii.ac.id/scatter-hitam/https://ijatr.polban.ac.id/docs/https://simba.cilacapkab.go.id/idnslot/https://ppid.cimahikota.go.id/image/slot-gacor-hari-ini/https://sigmawin88.comhttps://mpp.bandung.go.id/assets/thailand/https://perijinan.blitarkota.go.id/data/toto-slot/https://simba.cilacapkab.go.id/db/toto-slot/https://simba.cilacapkab.go.id/vendor/https://perijinan.blitarkota.go.id/assets/jp-gacor/https://perijinan.blitarkota.go.id/data/depo-10k/https://simba.cilacapkab.go.id/api/demo/https://simba.cilacapkab.go.id/api/http://103.165.243.97/doc/sv388/http://103.165.243.97/doc/thailand/https://www.remap.ugto.mx/pages/slot-luar-negeri-winrate-tertinggi/http://www.inmedsur.cfg.sld.cu/docs/https://waper.serdangbedagaikab.go.id/storage/idn/https://bakesbangpol.katingankab.go.id/uploads/pulsahttps://conference.stikesalifah.ac.id/thailand/https://lpm.instidla.ac.id/wp-includes/block-patterns/