2022 Interdisciplinary Research in Technology and Management (IRTM)最新文献

{"title":"Dark Web Forensics: An Investigation of Tracking Dark Web Activity with Digital Forensics","authors":"R. Brinson, H. Wimmer, Lei Chen","doi":"10.1109/irtm54583.2022.9791646","DOIUrl":"https://doi.org/10.1109/irtm54583.2022.9791646","url":null,"abstract":"The Dark Web has become home to malicious, illegal, and exploitative activities. Due to the nature of the Dark Web and the browsers used to reach it, uncovering these activities presents grave challenges to digital investigators or law enforcement agencies. In this work, we seek to use state of the art, closed-source Digital Forensics software to extract predefined Dark Web activities from a mobile device.","PeriodicalId":426354,"journal":{"name":"2022 Interdisciplinary Research in Technology and Management (IRTM)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123288900","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Cavity-Backed Substrate Integrated Waveguide Antenna With two connected I Slot for Dual Frequency Operation","authors":"Arnab Mukhopadhyay, Srijita Chakraborty, Priti Mukherjee, A. Saha, Mrinmoy Chakraborty","doi":"10.1109/irtm54583.2022.9791685","DOIUrl":"https://doi.org/10.1109/irtm54583.2022.9791685","url":null,"abstract":"The present paper reports the designing and analysis of a cavity backed substrate integrated waveguide antenna supporting dual frequency operation which is achieved using two connected I slots. The designed antenna resonates at 9.4 GHz and 10.02 GHz with gain of 4.6162 dBi and 4.1743 dBi at resonance.","PeriodicalId":426354,"journal":{"name":"2022 Interdisciplinary Research in Technology and Management (IRTM)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131313478","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Study on Use of Artificial Intelligence in Talent Acquisition","authors":"P. Chitrao, P. K. Bhoyar, Raiv Divekar, P. Bhatt","doi":"10.1109/irtm54583.2022.9791659","DOIUrl":"https://doi.org/10.1109/irtm54583.2022.9791659","url":null,"abstract":"A decade has passed, regarding the usage of artificial intelligence in the process of talent acquisition and this particular usage as gaining its incremental track as the process and practices of hiring people are evolving. The adaptation of artificial intelligence is significantly being tied up to the benefits provided by AI which significantly considered to be centering revolving around making the process of recruitment more easy, efficient and more accurate in comparison to the past. Artificial intelligence enables the recruiters and managers of hiring for assessing the interview and its respective candidates with much more easy in comparison to the traditional methods. Researches done in the past has shown that approximately 96% of the managers of HR are preferring artificial intelligence because they are having believe that AI can be improving the process of talent acquisition and retention in a significant manner. Last several years, choosing the appropriate candidate has been high in demand, so talent pools are significantly highlighting as one of the biggest obstacles for attracting the top talents all across the world and artificial intelligence evolving in accordance with it for helping in solving this problem. The implementation of artificial intelligence in the process of talent acquisition","PeriodicalId":426354,"journal":{"name":"2022 Interdisciplinary Research in Technology and Management (IRTM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130379362","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Applicants' Perception Towards the Application of AI in Recruitment Process","authors":"S. Pandey, Medha Bahukhandi","doi":"10.1109/irtm54583.2022.9791587","DOIUrl":"https://doi.org/10.1109/irtm54583.2022.9791587","url":null,"abstract":"An organization or business needs professional employees to achieve its targets in order to succeed in this dynamic period. They are now at the forefront of the fourth technological revolution. In this new era, everybody needs strong, future and creative workers to stay successful. To order to navigate the new landscape and improve the market climate, companies with a successful management plan will include an acceptable employee. Recruitment strategy is the primary consideration for any company to employ skilled employees who are willing to accomplish their job objectives more efficiently and effectively. Clearly, the recruiting approach as a core feature of the company is focused on data collection for decisionmaking. This paper discusses artificial intelligence (AI) and the effect it has on the recruiting industry. This thesis explored the effect of AI on managers and applicants during the first phases of the recruiting process.","PeriodicalId":426354,"journal":{"name":"2022 Interdisciplinary Research in Technology and Management (IRTM)","volume":"68 9","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120867881","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Application of Reinforcement Learning for Control of Autonomous Vehicles","authors":"Indranil Basu, S. Karmakar, S. Kundu, A. Saha, G. S. Taki","doi":"10.1109/irtm54583.2022.9791531","DOIUrl":"https://doi.org/10.1109/irtm54583.2022.9791531","url":null,"abstract":"Learning based on interaction with the environment is a natural phenomenon, for example, a baby learns through direct sensory interaction with the environment, without the supervision of any other person. This sensory connection with the environment is the source of all of his/her information about the causes and effects of the consequences of his/her behavior, and what must be done to realize some immediate objective. This kind of interaction with the environment is the main source of knowledge, for all humans, about our environment and also about ourselves. While we are learning to drive or having a conversation, we are very conscious of how our environment responds to our actions and we try to influence what happens by responding through our actions. Learning from interaction is the fundamental idea of almost all learning and intelligence theory. In this article, we explore a computational method using an agent that learns from interaction. It does not directly depend on the learning techniques of humans or animals, but mainly analyzes idealizes from them and then evaluates the effectiveness. We try to implement this approach by applying the techniques of what is called Deep Reinforcement Learning. Compared with other machine learning methods, it focuses more on targeted learning from interactions with the environment.","PeriodicalId":426354,"journal":{"name":"2022 Interdisciplinary Research in Technology and Management (IRTM)","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133937584","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Computer Vision Application in Automobile Error Detection","authors":"Narayana Darapaneni, M. Ravikumar, Shantanu Singh, Anjula Tiwari, S. Das, A. Paduri, Aravindh Balaraman, G. Pratap","doi":"10.1109/irtm54583.2022.9791543","DOIUrl":"https://doi.org/10.1109/irtm54583.2022.9791543","url":null,"abstract":"This paper describes the authentic AI application using the computer vision model in the automotive sector, to find out the error in the automobile by scanning the picture or dashboard and vehicle parts. Since the automobile has begun a complex system over the years and it became very difficult to know and understand each part of its function. So, this AI application would help automobile owners and users to find out the system errors when in case the automobile has gone bad and not functioning in the middle of the fleet. The automobile is a fascinating innovation of the last two centuries and more and more developments have been seen in this sector. The safety and performance increased so drastically by the introduction of processing the functions through electronics and software sensing and actuation, thereby the complexity of the vehicle been increased and self-diagnosis of errors and automobile service been the huge opportunity there and been addressing and lots of gaps still in the addressable area. This paper describes such gap-filling applications in the automobile service sector using AI applications.","PeriodicalId":426354,"journal":{"name":"2022 Interdisciplinary Research in Technology and Management (IRTM)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134023387","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Digital Technology Adoption and its Usage Among Unorganized Retailers","authors":"M. K. Ram, S. Selvabaskar","doi":"10.1109/irtm54583.2022.9791591","DOIUrl":"https://doi.org/10.1109/irtm54583.2022.9791591","url":null,"abstract":"This study is focused on the determinants of digital technology adoption intention and usage Behavior among the unorganized retailers in Tamil Nadu, India. In technology acceptance among the users, there are some old theories: TOE& TAM and it measures the adoption intention among individuals and organizations. Further, some other studies concentrated on measuring the adoption intention and usage Behavior among the Indian merchants by using TAM and TOE theories. Further, the Indian retail market is predominantly dominated by unorganized retailers. Although unorganized retailers dominate the Indian retail market, studies related to unorganized retailers ‘technology adoption is relatively low. To address this research gap, this study applied TAM and TOE theories, analyses various determinants that influence the embracement of digital technologies among unorganized retailers. We conducted a comprehensive literature survey and proposed aninclusive research model in this research. In addition, it was developed based on TOE and TAM theories. The research model consists of six independent constructs: Awareness, Self-Efficacy, Ease-of-Use, Usefulness, Competitive pressure, Government Policy, and two dependent constructs, namely Behavioral Intention & Usage Behavior. Further, a questionnaire was developed, and it was tested with a sample size of 216 respondents across various districts from Tamil Nadu. The Partial Least Square method results show that usefulness has appositive influence on ease of use. Self-efficacy &awareness has a significant influence on Behavioral intention. Inevitably, user Behavior was substantially influenced by Behavioral intention. This proposed research and research model has significant implications for the researchers. Further, this research suggested to the marketers to develop more technologies that facilitate marketing the products of the unorganized retailers. Finally, this research suggested that for the unorganized retailer's payment platforms, aggregators and digital marketing applications should develop more technologies that facilitate them to manage their inventory, vendor management and assist them to build a brand image among their consumers.","PeriodicalId":426354,"journal":{"name":"2022 Interdisciplinary Research in Technology and Management (IRTM)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132754238","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The impact of Social Networking Sites among Modern Youth","authors":"Priyanka Choudhary, Kamaladevi Baskaran","doi":"10.1109/irtm54583.2022.9791522","DOIUrl":"https://doi.org/10.1109/irtm54583.2022.9791522","url":null,"abstract":"Social networking sites is playing an significant part in each domain of lifespan these days. Today's situation of quick progress, speediness and connectedness through technology have created the extreme formation of social channels or social sites. Youngsters has modified particulars requirements of identification, information allocation, relationships, multi-function compressed pack of this social media websites. Social Networking Sites (SNS) have developed single share of youth's lifespan within variation of methods, by means of examining that time being ethos remains aligned through technology. The dependence of youngsters on the social networking sites has grasped at such measure that, deprived of social networking sites, each youthful individual can't imagine around the path of their evolution. Addiction of youngsters on social networking sites is presently driving to obsession. The study focuses to generate an enormous measure of consciousness amid the youngsters visible to such social media and results will not solely accept outcomes. The youngster influences through the utilization of these websites unfavorably & positively but will support the youngsters to recognise the practice of these web sites effectively. Skype, Facebook, WhatsApp, Twitter and Instagram are the websites that fascinate almost of the youngsters to tune in to them & thus symbolises their pros & cons that badly essential to generate an actual representation amid the youngsters. This research examines the determinations pertaining to exploiting social sites through means of the youngsters and teenagers. It has remained completed on the way to execute the period consumed on surfing social sites by youngsters. It emphases on optimistic & pessimistic impacts of utilising social media at the existence expectancy of youngsters. The outcome of research appears that higher the level of consumption of social websites guides youngsters on the way to dependence.","PeriodicalId":426354,"journal":{"name":"2022 Interdisciplinary Research in Technology and Management (IRTM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129769486","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Artificial Intelligence In Strengthening The Operations Of Ecommerce Based Business","authors":"P. Desai, Krutrth Ganatra","doi":"10.1109/irtm54583.2022.9791598","DOIUrl":"https://doi.org/10.1109/irtm54583.2022.9791598","url":null,"abstract":"Disruptive technologies similar as the internet of effects, big data analytics, block chain, and artificial intelligence have changed the ways businesses operate. Of all the disruptive technologies, artificial intelligence (AI) is the rearmost technological change agent and holds immense marketing metamorphosis eventuality. Interpreters worldwide are trying to figure out the stylish fit AI results for their marketing functions. Still, a methodical literature review can punctuate the significance of artificial intelligence (AI) in marketing and map future exploration directions. The present study aims to offer a comprehensive review of AI in marketing using bibliometric, abstract and intellectual network analysis of extant literature published between 1982 and 2020. A comprehensive review of one thousand five hundred and eighty papers helped to identify the scientific actors' performance like utmost applicable authors and utmost applicable sources. Likewise, co-citation and co-occurrence analysis offered the abstract and intellectual network. Data clustering using the Louvain algorithm helped identify exploration sub-themes and unborn exploration directions to expand AI in marketing. The operations of artificial intelligence in e-commerce showed further details with numerous practical exemplifications from Amazon.com. The company is an important transnational-retailer that's using artificial intelligence ways for online shopping. In this part, it was shown how Amazon has used artificial intelligence in e-commerce; how Amazon's guests have achieved better experience and anticipation when copping online through artificial intelligence in e-commerce ways and the future of Amazon how to carry out online business successfully. In conclusion, artificial intelligence obviously affects a lot in the world and mortal life. In this thesis, the way how artificial intelligence is changing business in e-commerce assiduity can be seen more deeply.","PeriodicalId":426354,"journal":{"name":"2022 Interdisciplinary Research in Technology and Management (IRTM)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114172207","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"DTMF Based Low-Power Consuming Autonomous Mining Companion Robot with Multiple Sensing Subsystems","authors":"Chirag Satapathy, H. Gokhale","doi":"10.1109/irtm54583.2022.9791789","DOIUrl":"https://doi.org/10.1109/irtm54583.2022.9791789","url":null,"abstract":"In constantly developing countries, all of the major resources are obtained via. mining industry; an industry that is a bliss to the society but also faces some hidden dangers underneath to obtain the resources and accelerate the growth of human existence. The miners are prone to hazardous gases like carbon monoxide (CO), altitude threats, breathing problems and earthquakes. Therefore, the motivation of this project is to combine all the features necessary to help overcome the dangers in the mines by designing an autonomous based 4-wheel drive companion robot, controlled using an Arduino Uno microcontroller and dual-tone multi-frequency technology (DTMF). The DTMF technology can be used to control the robot from a wide range far distance without being in the mines. Multiple sensors are also interfaced without any programmable devices to detect light, temperature and gases in the environment. This project aims in combining all the various factors, reducing costs so as to make them affordable as well as effective against all the existing problems for the underground miners.","PeriodicalId":426354,"journal":{"name":"2022 Interdisciplinary Research in Technology and Management (IRTM)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114563936","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}