Design and Business Modeling of an IoT Based Cost-Effective Vehicular Monitoring System for Next Generation Smart Vehicle

2020 ◽  
Author(s):  
MD Shahrukh Adnan khan ◽  
Tanzina Akter ◽  
Mirza Muhammad Yeamin Hossain ◽  
Md. Shamim Hossain ◽  
Saykot Mazumder ◽  
...  
Keyword(s):  
Monitoring System ◽  
Cost Effective ◽  
Next Generation ◽  
Business Modeling ◽  
Smart Vehicle

scholarly journals Next-generation sequencing in the clinical genetic screening of patients with pheochromocytoma and paraganglioma

2013 ◽  
Vol 2 (2) ◽  
pp. 104-111 ◽  
Author(s):  
Joakim Crona ◽  
Alberto Delgado Verdugo ◽  
Dan Granberg ◽  
Staffan Welin ◽  
Peter Stålberg ◽  
...  
Keyword(s):  
Next Generation Sequencing ◽  
Genetic Screening ◽  
Bioinformatics Analysis ◽  
Cost Effective ◽  
Susceptibility Genes ◽  
Next Generation ◽  
Clinical Genetic ◽  
Cost Effective Method ◽  
Agilent Sureselect ◽  
Generation Sequencing

BackgroundRecent findings have shown that up to 60% of pheochromocytomas (PCCs) and paragangliomas (PGLs) are caused by germline or somatic mutations in one of the 11 hitherto known susceptibility genes: SDHA, SDHB, SDHC, SDHD, SDHAF2, VHL, HIF2A (EPAS1), RET, NF1, TMEM127 and MAX. This list of genes is constantly growing and the 11 genes together consist of 144 exons. A genetic screening test is extensively time consuming and expensive. Hence, we introduce next-generation sequencing (NGS) as a time-efficient and cost-effective alternative.MethodsTumour lesions from three patients with apparently sporadic PCC were subjected to whole exome sequencing utilizing Agilent Sureselect target enrichment system and Illumina Hi seq platform. Bioinformatics analysis was performed in-house using commercially available software. Variants in PCC and PGL susceptibility genes were identified.ResultsWe have identified 16 unique genetic variants in PCC susceptibility loci in three different PCC, spending less than a 30-min hands-on, in-house time. Two patients had one unique variant each that was classified as probably and possibly pathogenic: NF1 Arg304Ter and RET Tyr791Phe. The RET variant was verified by Sanger sequencing.ConclusionsNGS can serve as a fast and cost-effective method in the clinical genetic screening of PCC. The bioinformatics analysis may be performed without expert skills. We identified process optimization, characterization of unknown variants and determination of additive effects of multiple variants as key issues to be addressed by future studies.

Predicting relapse in schizophrenia: the development and implementation of an early signs monitoring system using patients and families as observers, a preliminary investigation

1989 ◽  
Vol 19 (3) ◽  
pp. 649-656 ◽  
Author(s):  
Max Birchwood ◽  
Jo Smith ◽  
Fiona Macmillan ◽  
Bridget Hogg ◽  
Rekha Prasad ◽  
...  
Keyword(s):  
Secondary Prevention ◽  
Monitoring System ◽  
Preliminary Investigation ◽  
Psychometric Evaluation ◽  
Cost Effective ◽  
Self Report ◽  
Prodromal Symptoms ◽  
Considerable Potential ◽  
Early Signs ◽  
Pilot Investigation

SynopsisRecognition of prodromal symptoms of schizophrenia offers the potential of early intervention to avert relapse and re-hospitalization (Carpenter & Heinrichs, 1983). The present study investigated how a strategy to detect prodromal signs might be effectively applied in the clinical setting. A standard monitoring system was developed involving completion of a new early signs scale (ESS) measuring changes in key symptoms phenomenologically (self-report) and behaviourally (observer report). The ESS was subject to rigorous psychometric evaluation and tested in a prospective pilot investigation. The ESS reliably identified early signs and predicted relapse with an overall accuracy of 79%. Several different patterns of relapse were identified. Observer reports compensated for loss of insight in some patients. In two cases where early signs indices were detected, prompt increases in medication appeared to arrest relapse and avert readmission. The ESS offers itself as a reliable, valid and administratively feasible measure and demonstrates considerable potential as a cost-effective procedure for secondary prevention.

Cost-Effective Silicon Vertical Diode Switch for Next-Generation Memory Devices

2012 ◽  
Vol 33 (2) ◽  
pp. 242-244 ◽  
Author(s):  
Kong-Soo Lee ◽  
Jae-Jong Han ◽  
Hanjin Lim ◽  
Seokwoo Nam ◽  
Chilhee Chung ◽  
...  
Keyword(s):  
Cost Effective ◽  
Memory Devices ◽  
Next Generation

scholarly journals Energy Monitoring System for Existing Buildings in Indonesia

2018 ◽  
Vol 42 ◽  
pp. 01003
Author(s):  
Sentagi Sesotya Utami ◽  
Faridah ◽  
Na’im A. Azizi ◽  
Erlin Kencanawati ◽  
M. Akbar Tanjung ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Monitoring System ◽  
Local Governments ◽  
Energy Savings ◽  
Performance Testing ◽  
Cost Effective ◽  
Existing Buildings ◽  
Energy Monitoring ◽  
Building Permit ◽  
Significant Difference

Current studies conducted by JICA, AMPRI and IFC-World Bank, reported that large commercial buildings in Indonesia are not energy and water efficient. One of the cause is the lack of regulation. Meanwhile, effective regulations to reduce energy and water consumption are the concern mostly in a new building to obtain a building permit. This strategy is understandable as retrofitting existing buildings are often more difficult to be implemented, and enforcement is still a major issue in Indonesia. Local governments are currently working on streamlining building permit process as well as developing an online monitoring system for existing buildings. By applying a Building Energy Management System (BEMS) enables to reduce energy consumption up to 15%. An energy monitoring system was designed and installed through this research for Department of Nuclear Engineering and Engineering Physics (DNEEP) building, Faculty of Engineering, Universitas Gadjah Mada. It is a 20 years old two-story building used for educational activities, which consist of classrooms, laboratories, offices and storage spaces. An audit energy was done recently in 2015 where an energy consumption of 261.299,636 kWh/year.m2 was reported. In the existing condition, a power meter is inaccessible and therefore, the only feedback of occupancy behavior in the energy consumption is through the electricity bill. The previous study has shown that building occupants would behave more efficiently if the amount of energy used is notified, and the amount of energy savings are recorded. However, these energy monitoring systems are considered expensive and uniquely tailored for every building. This research aims to design and install a cost effective BEMS based on occupant’s satisfactory assessment of the lighting, acoustics, and air conditioning quality. The data will be used as a decision supporting system (DSS) by building management through the use of a GUI. The design of the interface was based on a survey result from the prospective users. Installed energy monitoring system uses a current sensor with an accuracy of 98% and a precision of 0.04 A while the voltage sensor with an accuracy of 98% and a precision of 0.58 V. The performance testing shows that the number of web clients influences delay of data transmission. The result of the survey shows that GUI is categorized as fair in design without a significant difference between the perceptions of users with and without survey supervision.

scholarly journals Agriculture Monitoring System Using IoT: A Review Paper

2021 ◽  
Vol 9 (1) ◽  
pp. 01-06
Author(s):  
Hafiz Saad Ahmad, Ali Hasnain
Keyword(s):  
Internet Of Things ◽  
Monitoring System ◽  
Review Paper ◽  
Cost Effective ◽  
Monitoring Systems ◽  
Agriculture Sector ◽  
Crucial Part ◽  
Processing Mechanism

In recent years evolution of Internet of Things has brought revolution in many different sectors.  The agriculture sector has become efficient and cost effective due to role of IoT. Monitoring systems has become the crucial part of agriculture. In past few years lot of work is been done and many systems has been purposed in this regard. In this paper we are going to make comparison between 4 different agriculture monitoring systems. We are also going to discuss what type of hardware including different sensors are used in those systems. We are also going to discuss software and platform on which those applications run. We will also discuss processing mechanism and what kind of algorithms are used in these systems and in the last we are going to make a comparative table based on these parameters.

Air pollution assessment using a cost-effective device: the case study of the northern Latium coastal area.

2021 ◽  
Author(s):  
Daniele Piazzolla ◽  
Giancarlo Della Ventura ◽  
Andrea Terribili ◽  
Alessandra Conte ◽  
Sergio Scanu ◽  
...  
Keyword(s):  
Air Pollution ◽  
Particulate Matter ◽  
Energy Consumption ◽  
Monitoring System ◽  
Coastal Area ◽  
Cost Effective ◽  
Coastal Environment ◽  
Tyrrhenian Sea ◽  
Environment Monitoring ◽  
Mobile Monitoring

<p><span>The increase in urbanization requires intense energy consumption and causes an increase in emissions from transportation and industrial sources. As a result, a variety of pollutants are released into the atmosphere with negative effects on the health of organisms and ecosystems as well as on human health. In this perspective, coastal areas are considered "hot</span><span>spot</span><span>s" of environmental contamination since they often host multiple human activities. This issue is particularly dramatic close to important maritime hubs, as a matter of fact overall 25% of the world energy consumption (a major source of pollution) is employed for transport, and over 80% of world trade is carried by sea (Gobbi et al. 2020). </span><span>During 2019-2020 we carried out a continuous monitoring of particulate matter in a fixed station to understand the sources of air pollution in the northern Latium coastal area. This area has been selected for the presence of industrial activities located in a few kilometers of coast (Piazzolla et al. 2020). </span><span>The amount and typology of solid particles present in the environment have been assessed by implementing a reliable cost-effective device (Gozzi et al. 2015, 2017) which integrates an optical particle counter and a filtering set-up able to collect particulate matter with dimension > 400 nm (Della Ventura et al. 2017). Filters were periodically removed from the device and recovered microparticles were subjected to microscopic (optical and electron), spectroscopic (IR, Raman), and microchemical (SEM-EDS) characterization. Results were related to the wind speed and direction measured by</span><span> the </span>Civitavecchia Coastal Environment Monitoring System<span> (</span><span>Bonamano et al. 2015), allowing an evaluation of the contribution of anthropic (industrial and maritime) activities to the pollution in this area.</span></p><p>Bonamano S., Piermattei V., Madonia A., Mendoza F., Pierattini A., Martellucci R., ... <span>& Marcelli M. (2016). The Civitavecchia Coastal Environment Monitoring System (C-CEMS): a new tool to analyze the conflicts between coastal pressures and sensitivity areas. Ocean Science, 12(1).</span><span> DOI 10.5194/os-12-87-2016</span></p><p><span>Della Ventura G., Gozzi F., Marcelli A. (2017) The MIAMI project: design and testing of an IoT lowcost device for mobile monitoring of PM and gaseous pollutants. Superstripe Press, Science Series, 12, 41-44, ISBN 9788866830764</span></p><p>Gobbi G.P., Di Liberto L., Barnaba F. (2020). <span>Impact of port emissions on Eu-regulated and non-regulated air quality indicators: the case of Civitavecchia (Italy). Science of the Total environment, 719. DOI 10.1016/j.scitotenv.2019.134984 </span></p><p><span>Gozzi, F., Della Ventura, G., Marcelli, A. (2015) Mobile monitoring of particulate matter: State of art and perspectives. Atmospheric Pollution Research, 7, 228-234. DOI 10.1016/j.apr.2015.09.007.</span></p><p><span>Gozzi F., Della Ventura G., Marcelli A., Lucci F. (2017) Current status of particulate matter pollution in Europe and future perspectives: a review. Journal of Materials and Environmental Science, 8, 1901-1909. ISSN 2028-2508</span></p><p><span>Piazzolla D., Cafaro V., de Lucia G. A., Mancini E., Scanu S., Bonamano S., ... & Marcelli M. (2020). Microlitter pollution in coastal sediments of the northern Tyrrhenian Sea, Italy: microplastics and fly-ash occurrence and distribution. </span>Estuarine, Coastal and Shelf Science, 106819. DOI 10.1016/j.ecss.2020.106819</p>

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