Background: Water scarcity is a major challenge in agriculture, leading to inefficient water use and reduced crop yields. Traditional irrigation methods often result in overuse or underuse of water. Description: Develop a smart irrigation system that utilizes sensors and IoT technology to monitor soil moisture levels and weather conditions.
This ...
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Background: Water scarcity is a major challenge in agriculture, leading to inefficient water use and reduced crop yields. Traditional irrigation methods often result in overuse or underuse of water. Description: Develop a smart irrigation system that utilizes sensors and IoT technology to monitor soil moisture levels and weather conditions.
This ...
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Background- Agricultural productivity and food security are heavily dependent on the health of crops and livestock. Farmers, especially in remote or resource-limited areas, often face challenges in diagnosing and reporting diseases that affect their livestock and crops.
Early diagnosis and timely reporting are crucial for effective disease manage...
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since 2000, various authorities like parliaments and government offices have introduced electronic petitions systems (e-petitions).
Compared to most other means of petitions made available by public institutions, e-petitions have moved past the test organization and are portrayed by a significant level of institutionalization and procedural devel...
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Background: Dual use precursor chemicals are substances that have legitimate industrial and commercial applications but can also be used in the illicit manufacture of drugs. For e.g. Opium is converted to Heroin using Acetic Anhydride and manufacturing of Methamphetamine is done using Ephedrine or Pseudoephedrine.
Precursor chemicals are essentia...
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Background: In today’s digital age, a wide variety of services and processes take place online. Users of these digital facilities are required to upload government-issued containing documents or provide data for successfully availing the services. However, the uploaded documents or data which are required to facilitate these digital services and pr...
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Our society suffers a lot from the things that are thrown uselessly; these things may be beneficial to our society. On the other hand, communities suffer a lot of waste especially plastic waste; this has led to environmental pollution and depletion of natural resources.
Therefore, this research aims to achieve sustainable development and achieve ...
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Environmental monitoring is must for all industries as its conditions majorly affect our prosperity, solace and efficiency. Because it is such an essential aspect that have an immense effect on health of operating personnel & other parameters like fire, smoke, dust and intruder detection along with weather forecasting in industries. But the systems...
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Predicting future changes in ecosystem services is not only highly desirable but is also becoming feasible as several forces (e.g., available big data, developed data assimilation (DA) techniques, and advanced cyber-infrastructure) are converging to transform ecological research into quantitative forecasting. To realize ecological forecasting, we h...
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Management of groundwater systems requires realistic conceptual hydrogeological models as a framework for numerical simulation modelling, but also for system understanding and communicatin g this to stakeholders and the broader community. To help overcome these challenges we developed GVS (Groundwater Visualisation System), a stand-alone desktop so...
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Integrating advanced simulation techniques and data analysis tools in a freeware Geographic Information System (GIS) provides a valuable contribution to the management of conjunctive use of groundwater (the world's largest freshwater resource) and surface-water. To this aim, we describe here the FREEWAT (FREE and open source software tools for WATe...
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A prototype of pulse measurement and data management system is built on Arduino platform and Android device. It is provided with functions of pulse measurement, data storage and share in local device and online cloud server. Among the system, first a smart pulse sensing module with a Bluetooth interface is designed to measure pulse rate and peak va...
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Current banking data management on loan approval processes has great room for improvements of information quality and prevention of data problems in general, but especially with regards to fair lending and fair pricing practices. We first review briefly typical data collection protocols deployed at many financial institutions for loan approval and ...
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Generally, the electronic technology has been implemented to automate the traditional systems. So, different copy of management systems in different scope were presented. These systems include the services provided to company as well as people, such as, healthcare. The traditional data management systems for pharmacy as example, suffer from the cap...
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Herbal database management is one of the emerging trends nowadays. There are many agencies working on herbal database management. This system helps to overcome many adverse reactions of drugs and their interactions. The safety profile of an herbal is maintained in this database which is very useful for appropriate use of herbal medicine. Here, an a...
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Verifying the integrity of IoT data in cloud-based IoT architectures is crucial for building reliable IoT applications. Traditional data integrity verification methods rely on a Trusted Third Party (TTP) that has issues of risk and operational cost by centralization. Distributed Ledger Technology (DLT) has a high potential to verify IoT data integr...
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Network storage services have benefited countless users worldwide due to the notable features of convenience, economy and high availability. Since a single service provider is not always reliable enough, more complex multi-cloud storage systems are developed for mitigating the data corruption risk. While a data auditing scheme is still needed in mu...
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Replicating data across geo-distributed datacenters is usually necessary for large scale cloud services to achieve high locality, durability and availability. One of the major challenges in such geo-replicated data services lies in consistency maintenance, which usually suffers from long latency due to costly coordination across datacenters. Among ...
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Recent advances in smart connected vehicles and Intelligent Transportation Systems (ITS) are based upon the capture and processing of large amounts of sensor data. Modern vehicles contain many internal sensors to monitor a wide range of mechanical and electrical systems and the move to semi-autonomous vehicles adds outward looking sensors such as c...
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In this paper, we propose a region-based pricing scheme, named as RegPrice, for provisioning safety-related decisions dynamically to the end-users. Typically, heterogeneous type of sensor nodes are present in the device layer of Safe-aaS. Considering the case of safety in road transportation, we compute the fixed and variable costs incurred in proc...
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Cloud computing enables enterprises and individuals to outsource and share their data. This way, cloud computing eliminates the heavy workload of local information infrastructure. Attribute-based encryption has become a promising solution for encrypted data access control in clouds due to the ability to achieve one-to-many encrypted data shari...
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Edge computing promises to facilitate the collaboration of smart sensors at the network edge, in order to satisfying the delay constraints of certain requests, and decreasing the transmission of large-volume sensory data from the edge to the cloud. Generally, the functionalities provided by smart sensors are encapsulated as services, and the satisf...
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With the increasing demand of users for personalized social services, social recommendation (SR) has been an important concern in academia. However, current research on SR universally faces two main challenges. On the one hand, SR lacks the considerable ability of robust online data management. On the other hand, SR fails to take the ambiguity of p...
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ALTEC defined and developed a framework with the main aim to process a big amount of data allowing a seamless connection between the collected information and the analyses performed by end users.This is the ASDP environment, that allows to organize data in the most adapt domain data store in order to have data ready for complex analyses. In particu...
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Cloud-based data storage service has drawn increasing interests from both academic and industry in the recent years due to its efficient and low cost management. Since it provides services in an open network, it is urgent for service providers to make use of secure data storage and sharing mechanism to ensure data confidentiality and service user p...
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