Ariful Alam, Israt Khan, S. Muntaha, Poonam Munshi, Ahmadullah Al Galib, Abir Muntacir Azad
{"title":"Design and Development of Arduino Based Physical Parameter Analyzer for Unprivileged Region Agricultural System","authors":"Ariful Alam, Israt Khan, S. Muntaha, Poonam Munshi, Ahmadullah Al Galib, Abir Muntacir Azad","doi":"10.59185/vmgn5762","DOIUrl":"https://doi.org/10.59185/vmgn5762","url":null,"abstract":"Introducing scientific methods to the cultivation system is sorely needed in overpopulatedcountries like Bangladesh. As the demand for food is rapidly increasing while the farming areas aresqueezing day by day. The cultivation system of our country follows the traditional harvesting process whichdoes not employ any scientific analysis of the agricultural sites. But proper measurement and analysis ofthese parameters can magnificently improve the harvesting result. This article presents the design anddevelopment method of Arduino based low-cost physical parameter analyzer which can be constructed easilyand used by the farmers of rural areas. The system was controlled with an Arduino microcontroller whichcan receive analog signals from different sensors and show the measurement results in digital form through aliquid crystal display. DHT11 sensor is one kind of capacitor that has humidity holding substrate asdielectric which was interfaced with the microcontroller to measure both the relative humidity andtemperature. While FC-28 soil moisture sensor measures the relative soil moisture by sensing electricalresistance of the soil. A JXCT-pH sensor was also incorporated to evaluate the pH level of the soil. Thedeveloped system is also capable of continuously monitoring an agricultural site and taking some emergencyaction if the standard value of the physical parameters deviates drastically .","PeriodicalId":50178,"journal":{"name":"Journal of Information Technology","volume":null,"pages":null},"PeriodicalIF":5.6,"publicationDate":"2023-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139353220","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Road Recognition and Lane Detection using Deep Learning","authors":"Md. Fazlul Karim Patwary, Moumita Chanda, Sadiya Rahman, Md. Tanvir Ahmed","doi":"10.59185/dg8xmp38","DOIUrl":"https://doi.org/10.59185/dg8xmp38","url":null,"abstract":"An autonomous vehicle needs to be familiar with its surroundings. The safety of thetransportation system is greatly enhanced by advanced driving assistance systems (ADASs). Road detectionis one of the steps that a driving car must do. Is it possible for a computer to recognize a road in a singlephotograph for this purpose? This question is addressed using the lane detecting techniques. Roads andlanes are tough for machine learning to differentiate because of training a machine to recognize a road.Over the past few decades, a number of lane identification technologies have been created and integratedinto various autonomous cars. It is still very difficult to create lane recognition technology that caneffectively identify a road lane in a range of road conditions. This research provides a composite approachfor road detection from image processing using convolutional neural networks by testing 150 photographsthat include a road, jungle, muddy road, and barriers. It will decide if an image contains a road or not. Inthis essay, we first establish whether a road exists. The second step is to find a lane on the finished road.The benefit of the proposed technology is that if there is a road, the automobile can continue to moveforward; otherwise, it will stop.","PeriodicalId":50178,"journal":{"name":"Journal of Information Technology","volume":null,"pages":null},"PeriodicalIF":5.6,"publicationDate":"2023-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139353511","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Olivera Marjanovic, Dubravka Cecez-Kecmanovic, Richard Vidgen
{"title":"Algorithmic Pollution: Making the Invisible Visible","authors":"Olivera Marjanovic, Dubravka Cecez-Kecmanovic, Richard Vidgen","doi":"10.1177/0268396221999671","DOIUrl":"https://doi.org/10.1177/0268396221999671","url":null,"abstract":"<p>In this paper, we focus on the growing evidence of unintended harmful societal effects of automated algorithmic decision-making (AADM) in transformative services (e.g., social welfare, healthcare, education, policing and criminal justice), for individuals, communities and society at large. Drawing from the long-established research on social pollution, in particular its contemporary ‘pollution-as-harm’ notion, we put forward a claim, and provide evidence, that these harmful effects constitute a new type of digital social pollution, which we name ‘algorithmic pollution’. Words do matter, and by using the term ‘pollution’, not as a metaphor, but as a transformative redefinition of the digital harm performed by AADM, we seek to make it visible and recognized. By adopting a critical performative perspective, we explain how the execution of AADM produces harm and thus performs algorithmic pollution. Recognition of the potential for unintended harmful effects of algorithmic pollution, and their examination as such, leads us to articulate the need for transformative actions to prevent, detect, redress, mitigate, and educate about algorithmic harm. These actions, in turn, open up new research challenges for the information systems community.</p>","PeriodicalId":50178,"journal":{"name":"Journal of Information Technology","volume":null,"pages":null},"PeriodicalIF":5.6,"publicationDate":"2021-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138534015","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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