On-demand Technology Research Articles

Empirical and simulation data reveal a lack of avoidance of wind turbines by Gyps fulvus (Griffon Vulture)

Abstract The increase of wind turbine installations to limit climate change may affect bird populations because of collisions with rotor blades. Birds may respond to wind turbine presence along a gradient of behavioral changes: avoiding the wind farm (macro-scale) or the wind turbines either by anticipating wind turbine locations (meso-scale) or engaging in last-minute flee attempts (micro-scale). We investigated flight responses of 25 adult Gyps fulvus (Griffon Vulture) equipped with GPS tags over 3 years in an area that included 10 wind farms in Causses, France. At the macro-scale, foraging range and habitat use revealed that G. fulvus did not avoid wind farms. To investigate avoidance at meso- and micro-scales, we focused on the 4 most visited wind farms. We compared vulture flights to null movement models, which allowed us to keep the correlation between flights and topography while creating movement independent of wind turbine locations. At most sites, G. fulvus did not show avoidance behavior. Overall, our results suggest wind farm-specific responses by soaring birds as a function of landscape topography. Thus, to reduce collision risks, stakeholders should first avoid constructing wind farms close to vulture nesting colonies. When siting, developers should investigate G. fulvus use of local topography to avoid areas in which birds are likely to travel. Finally, managers must prioritize the detection of species not able to avoid turbines when designing preventive measures, such as switching off on-demand technologies.

#3018 CARDIOVASCULAR DISEASE AND DETECTION OF CLONAL HEMATOPOIESIS OF INDETERMINATE POTENTIAL IN THE CHRONIC KIDNEY DISEASE POPULATION

Abstract Background and Aims Cardiovascular disease (CVD) is the main cause of morbidity and mortality in patients with chronic kidney disease (CKD). Novel determination of clonal expansion of hematopoietic stem cells carrying mutations in certain genes is called Clonal hematopoiesis of indeterminate potential (CHIP), it is well known the association with an increased risk of hematologic malignancies but in general population, CHIP has been associated with increased mortality and increased cardiovascular risk. The aim of our study was to analyze the influence of CHIP on the risk of CVD and heart disease in the population with CKD. Method 128 patients with different degrees of CKD were roll in our prospective study in between September 1, 2020 and January 31, 2021. All of them have followed up in Nephrology clinics and any patient have previous cardiovascular pathology. For detection of silent heart disease was realized measurement of troponin I and NT-Pro-BNP in the blood using a microparticle chemiluminescence assay and the degree of coronary calcification was calculated by the computed tomography (CT): Agatston method. All the patients were prospectively followed up for 18 months, recording the occurrence of major cardiovascular events. For detection of CHIP massive sequencing was performed with Ion Chef System On-demand technology using Ion AmpliSeqTM Kit for Chef DL8. The data analysis was done with the Torrent SuiteTM software and Varsome software, following the criteria of the American College of Medical Genetics (ACMG). Results 36.7% of the patients presented CHIP (pathogenic and probably pathogenic mutations) and 24.2% (only pathogenic mutations). TET2 was the most frequently affected gene (21.1%). The percentage of patients with CHIP MPL gene mutation was 12,5%, DNMT3 7%, JAK 1,6% and ASXL1 0,8%. 9 patients developed major cardiovascular events (MACE). Using univariate Cox regression analysis, the presence of MACE was related to global coronary calcification (OR 1.001, 95% CI 1.001-1.001, p = < 0.001), NT-ProBNP (OR 1.090, 95% CI 1.050-1.132, p = < 0.001) but there was no relation to smoking (OR 2.796, 95% CI 0.750-10.415, p = 0.125). Patients with CHIP did not have a higher risk of MACE, although patients with DNMT3A mutations did have a higher risk (HR 6.637, 95% CI 1.443-30.533, p = 0.015) independently of other variables. Using multivariate logistic regression analysis, the presence of CHIP was not related to coronary calcification (OR 0.387, 95% CI 0.142-1.058, p = 0.387), nor was it related to troponin I or NT-Pro-BNP. Conclusion The presence of CHIP was not associated with a greater risk of silent heart disease or cardiovascular events, although DNMT3a mutations, analyzed independently, were associated with a greater number of cardiovascular events in our CKD population.

Smart Facial Emotion Recognition With Gender and Age Factor Estimation

Human-Computer Interaction (HCI) in an intelligent way, which aims at creating scalable and flexible solutions. Big tech firms and businesses believe in the success of HCI as it allows them to profit from on-demand technology and infrastructure for information-centric applications without having to use public clouds. Because of its capacity to imitate human coding abilities, facial expression recognition and software-based facial expression identification systems are crucial. This paper proposes a system of recognizing the emotional condition of humans, given a facial expression, and conveys two methods of predicting the age and gender factors from human faces. This research also aims in understanding the influences posed by gender and age of humans on their facial expressions. The model can currently detect 7 emotions based on the facial data of a person - (Anger, Disgust, Happy, Fear, Sad, Surprise, and Neutral state). The proposed system is divided into three segments: a.) Gender Detection b.) Age Detection c.) Emotion Recognition. The initial model is created using 2 algorithms - KNN, and SVM. We have also utilized the architectures of some of the deep learning models such as CNN and VGG - 16 pre-trained models (Transfer Learning). The evaluation metrics show the model performance regarding the accuracy of the Recognition system. Future enhancements of this work can include the deployment of the DL and ML model onto an android or a wearable device such as a smartphone or a watch for a real-time use case.

Mobility-on-demand (MOD) Projects: A study of the best practices adopted in United States

The growth of mobility on demand (MOD) services has raised partnership opportunities between transit agencies and transportation network companies (TNCs) in the US. However, there is still a need to recognize how MOD programs confront different challenges during the implementation of pilot projects, and to what extent they are successful in promoting mobility efficiency and providing multiple mobility options. This study aims to evaluate the potential opportunities of public-private partnerships for MOD planning while presenting an overview of the challenges and lessons learned during the implementation of the Federal Transit Administration (FTA) Sandbox Program projects. Following a comprehensive review of MOD's background, we identify the goals and scopes of the 11 FTA Sandbox Program projects. The programs are classified into four categories: service to people with disabilities, first/last mile solutions, mobile application targeting one non-transit mode, and mobile application to integrate public and private transportation services on one app. Emphasizing particular FTA Sandbox Program projects, we determine the challenges and technical lessons learned during the implementation of the programs. Finally, this study identifies fundamental factors to a well-integrated public transit system that uses app-based on-demand technology. Our findings provide new insights, which could reinforce future partnerships among public-private transportation services.

University 4.0 in Developing Countries

The barriers to adopting new emerging technologies are the parts of the transformation process of the university which are willing to change to the future environment which is triggered by the Industrial Revolution 4.0. This research aims to identify whether and how Emerging Technologies 4.0 can be established in universities of developing countries. Besides the literature review method, the research was conducted in two stages: qualitative and quantitative. The samples were 250 universities. The findings of this research may help higher education and top-management-level universities and the ministry of education to initiate future strategies: first, finding the mechanism to solve the financial problem (the highest obstacles) faced by the university, such as public-private partnerships, foreign investment, joint ventures, or other industrial relationships; second, working closely with technology and infrastructure providers (the third-highest obstacles) by implementing the technical approach such as cloud computing, on-demand technology, sharing resources, and virtualization.

Cloud Dynamic Scheduling for Multimedia Data Encryption Using Tabu Search Algorithm

The cloud computing is interlinked with recent and out-dated technology. The cloud data storage industry is earning billion and millions of money through this technology. The cloud remote server storage is on-demand technology. The cloud users are expecting higher quality in minimal cost. The quality of service is playing a vital role in any latest technology. The cloud user always depends on thirty party service providers. This service provider is facing higher competition. The customer is choosing a service based on two parameters one is security and another one is cost. The reason behind this is all our personal data is stored on some third party server. The customer is expecting higher security level. The service provider is choosing many techniques for data security, best one is encryption mechanism. This encryption method is having many algorithms. Then again one problem is raised, that is which algorithm is best for encryption. The prediction of algorithm is one of major task. Each and every algorithm is having unique advantage. The algorithm performance is varying depends on file type. The proposed method of this article is to solve this encryption algorithm selection problem by using tabu search concept. The proposed method is to ensure best encryption method to reducing the average encode and decode time in multimedia data. The local search scheduling concept is to schedule the encryption algorithm and store that data in local memory table. The quality of service is improved by using proposed scheduling technique.

Assessment of low volume sampling technologies: utility in nonclinical and clinical studies.

Background: Low volume sampling technologies have come a long way; however, their uptake has been slow due to logistical and perceived implementation challenges. Additional studies are needed to overcome these barriers. Materials & methods/results: Here we present two studies where different sampling technologies were evaluated to determine the feasibility of their implementation. First, we evaluated pharmacokinetic profiles for anti-gD in rats using three tail bleed sampling methods, glass capillary tubes, Shimadzu MSW2®and the Neoteryx Mitra® microsampler. Second, we evaluated two low volume-sampling methods to measure drug levels from patients treated with anti-A therapeutic. This evaluation used whole blood finger pricks for Neoteryx Mitraand plasma from capillary blood using TASSO OnDemand technology to compare results to established venipuncture collection method. Conclusion: These studies evaluate the feasibility and considerations for implementation of different low volume sampling technologies.

Cloud Computing and its role in the Information Technology

The concept of Cloud Computing has been distinguished as one of the major computing models in recent years. Cloud computing has become a great innovation that has important consequences not just for services on the internet but also for the entire Information technology (IT) market. Its emergence aims to optimize on-demand technology, hardware and information provisioning as a service, reaching the economy of scale in the distribution and operation of IT strategies. A great deal of cloud computing research has been concerned over some obstacles and challenges that rely upon behind the lure of cloud computing. Security has been always raised as one of the most critical issues of cloud computing where resolving such an issue would result in constant growth in the use and popularity of the cloud. Security requirements represent a major issue that has to be met in order of easing some of these obstacles. This article presents the role of cloud computing in the IT sectors.

Cloud Computing and Its Role in the Information Technology

The concept of Cloud Computing has been distinguished as one of the major computing models in recent years. Cloud computing has become a great innovation that has important consequences not just for services on the internet but also for the entire Information technology (IT) market. Its emergence aims to optimize on-demand technology, hardware and information provisioning as a service, reaching the economy of scale in the distribution and operation of IT strategies. A great deal of cloud computing research has been concerned over some obstacles and challenges that rely upon behind the lure of cloud computing. Security has been always raised as one of the most critical issues of cloud computing where resolving such an issue would result in constant growth in the use and popularity of the cloud. Security requirements represent a major issue that has to be met in order of easing some of these obstacles. This article presents the role of cloud computing in the IT sectors.

Intelligent system for interactive online education based on cloud big data analytics

Based on the big data cloud computing platform with online teaching at the application scenario, the functional modules of the system are divided according to the user’s functional requirements for the system, and the system is briefly designed to determine the system architecture. The core functional modules of the system include an online experiment module, online classroom module, video course module, online examination module and basic function module. Using software engineering methods, the design process of the above functional modules is described, and the realization process of key functions is elaborated in detail. Taking into account the security requirements for video transmission in the video course module, the streaming media on-demand technology based on the RTMP protocol is adopted. In order to meet the highly interactive requirements of the online classroom module, the rich Internet application development technology based on Flex4.0 is adopted. A distributed Docker cluster is used in the online experiment module to provide students with an experimental environment. Taking into account the future business growth of the system and the need for dynamic expansion, the load balancing technology based on Nginx reverse proxy is adopted. In the test phase, the black box test method was used to test the system’s functions, and the system was non-functionally tested on three aspects of compatibility, security, and system performance. The online teaching platform is designed in this article not only has basic function modules, but also starts from the safety performance of the system. When designing the system module, a safety function module is added, and the user data are encrypted using the MD5 algorithm, and through access control technology and system backup Ensure data security. This article combines the convenience of online learning with the practicality of computer courses to create a set of one-stop teaching platforms with rich functions entered on online experiments. The system has good support for the key links in the teaching process, and can effectively improve the learning efficiency of students and the teaching efficiency of teachers.

Attribute-Based Homomorphic Encryption based Integrity Auditing for Secure Outsourced Storage in Cloud

Cloud computing is an enormous area which shares huge amount of data over cloud services and it has been increasing with its on-demand technology. Since, with these versatile cloud services, when the delicate data stored within the cloud storage servers, there are some difficulties which has to be managed like its Security Issues, Data Privacy, Data Confidentiality, Data Sharing and its integrity over the cloud servers dynamically. Also, the authenticity and data access control should be maintained in this wide environment. Thus, Attribute based Encryption (ABE) is a significant version of cryptographic technique in the cloud computing environment. Data integrity, one of the most burning challenges in secure cloud storage. Data auditing protocols enable a verifier to efficiently check the integrity of the files without downloading the entire file from the cloud. In this paper cloud data integrity checking is performed by introducing attribute-based cloud data auditing where users can upload files to cloud through some set of attributes and specify auditor to check the integrity of data files. Existing protocols are mostly based on public key infrastructure or an exact identity, which lacks ?exibility of key management. In this research work Cloud data integrity checking is performed by introducing attribute-based cloud data auditing where users can upload files to cloud through some set of attributes and specify auditor to check the integrity of data files. Variable attributes are used to generate the private key and their performance is evaluated under variable attribute list.

A Survey: Attribute Based Encryption for Secure Cloud

Cloud computing is an enormous area which shares huge amount of data over cloud services and it has been increasing with its on-demand technology. Since, with these versatile cloud services, when the delicate data stored within the cloud storage servers, there are some difficulties which has to be managed like its Security Issues, Data Privacy, Data Confidentiality, Data Sharing and its integrity over the cloud servers dynamically. Also, the authenticity and data access control should be maintained in this wide environment. Thus, Attribute based Encryption (ABE) is a significant version of cryptographic technique in the cloud computing environment. Public Key Encryption acts as the basic technique for ABE where it provides one to many encryptions, here, the private key of users & the cipher-text both rely on attributes such that, when the set of the attributes of users key matches set of attributes of cipher-text with its corresponding access policy, only then decryption is possible. Thus, an opponent could grant access to the sensitive information that holds multiple keys, if it has at least one individual key for accession. The techniques based on ABE consist of two types: KP-ABE (Key- Policy ABE) where the user’s private key is linked to an access structure (or access policy) over attributes and cipher-text is connected to the set of attributes, and CP-ABE (cipher-text policy ABE) is vice versa. Hence, in this, Review we discuss about the various security techniques and relations based on Attributes Based Encryption, especially, the type KP-ABE over data attributes which explains secured methods & its schemes related to time specifications.

How Amazon’s delivery logistics redefined retail supply chains

Amazon is setting very high standards for the entire retail industry with the market-leading ecommerce innovations they are implementing across their delivery logistics infrastructure, as well as the technologies behind it. As customer spend rapidly shifted over the past decade towards online commerce and away from physical stores, customer expectations around convenience, choice and speed of delivery have also changed drastically. The boom of on-demand technologies such as real-time tracking, alongside the widespread adoption of smartphones, means that retailers across the world need to quickly adapt in order to stay relevant with their customers. The implications of this shift towards customer-centric deliveries affect the entire retail supply chain, which needs to be redesigned to ensure companies gain maximum operational efficiency while providing an exceptional customer experience. This new retail landscape is having a huge impact on both the micro and the macro level. On the one hand, retailers need to optimise their fleets, delivery partners, warehouses, stores and customer service. On the other hand, regulators need help creating cities that provide the optimal infrastructure to efficiently manage the flow of goods. The last mile in particular is becoming one of the toughest challenges for retailers to support, and they will need to embrace technology that helps them manage their operations while maintaining a healthy bottom line. It is not a simple task to reach all customers wherever they are, whenever they want — especially in countries or cities with low population density. However, as delivery companies, in-house fleets and crowdsourced resources become more aware of these challenges, we will see the emergence of new models that efficiently utilise multiple tools, technologies and resources. The entire industry is working towards achieving flawless orchestration of a fully-transparent, fully-optimised supply chain, which is driven as much by cost-efficiency as it is by providing end-customers with exceptional brand experiences.

Challenges for on-Demand Technology and the Unseen Opportunities

Challenges for on-Demand Technology and the Unseen Opportunities

Foreword

At the end of 2017, according to World Economic Forum Agenda, it seems that economic competitiveness matters, but not as an end in itself. It matters because nations that are more competitive are more productive, and are therefore more able to provide for the social needs of their people. The world has changed dramatically over the last decade, and measuring the factors that determine competitiveness continues to be a highly complex process. It is certainly true that the Fourth Industrial Revolution (4IR) – new, rapidly changing technologies in many different fields – has changed the way we need to measure some aspects of competitiveness, particularly in relation to innovation and ideas. We need to stress, for example, the value of ideas and collaboration within companies; the values of open-mindedness, of connectivity, and the value of an entrepreneurial spirit. And we have had to emphasize a new kind of education: one that is more conducive to students’ creativity, their ability to observe and generate ideas. The new industrial revolution, also known as the 4IR, has forced us to put more emphasis on all these aspects of a nation’s innovation ecosystem. The appearance of very disruptive technologies has been incredibly rapid. If we go back 10 years, the iPhone didn’t even exist. We have seen huge developments in artificial intelligence, new materials, synthetic biology, big data and on-demand technologies, and all these are changing the business landscape at a planetary level. Significantly, many of these innovations did not occur in those countries where technology used to be produced almost monopolistically. It is no longer the case that only the US and Europe innovate; the new industrial revolution has created opportunities for nations across the globe. This is a hugely important trend.

Application of Low-Cost Fixed-Wing UAV for Inland Lakes Shoreline Investigation

One of the most important factors that influences the performance of geomorphologic parameters on urban lakes is the water level. It fluctuates periodically, causing shoreline changes. It is especially significant for typical environmental studies like bathymetric surveys, morphometric parameters calculation, sediment depth changes, thermal structure, water quality monitoring, etc. In most reservoirs, it can be obtained from digitized historical maps or plans or directly measured using the instruments such as: geodetic total station, GNSS receivers, UAV with different sensors, satellite and aerial photos, terrestrial and airborne light detection and ranging, or others. Today one of the most popular measuring platforms, increasingly applied in many applications is UAV. Unmanned aerial system can be a cheap, easy to use, on-demand technology for gathering remote sensing data. Our study presents a reliable methodology for shallow lake shoreline investigation with the use of a low-cost fixed-wing UAV system. The research was implemented on a small, eutrophic urban inland reservoir located in the northern part of Poland—Lake Suskie. The geodetic TS, and RTK/GNSS measurements, hydroacoustic soundings and experimental aerial mapping were conducted by the authors in 2012–2015. The article specifically describes the UAV system used for experimental measurements, the obtained results and the accuracy analysis. Final conclusions demonstrate that even a low-cost fixed-wing UAV can provide an excellent tool for accurately surveying a shallow lake shoreline and generate valuable geoinformation data collected definitely faster than when traditional geodetic methods are employed.

How might novel technologies such as optogenetics lead to better treatments in epilepsy?

Recent technological advances open exciting avenues for improving the understanding of mechanisms in a broad range of epilepsies. This chapter focuses on the development of optogenetics and on-demand technologies for the study of epilepsy and the control of seizures. Optogenetics is a technique which, through cell-type selective expression of light-sensitive proteins called opsins, allows temporally precise control via light delivery of specific populations of neurons. Therefore, it is now possible not only to record interictal and ictal neuronal activity, but also to test causality and identify potential new therapeutic approaches. We first discuss the benefits and caveats to using optogenetic approaches and recent advances in optogenetics related tools. We then turn to the use of optogenetics, including on-demand optogenetics in the study of epilepsies, which highlights the powerful potential of optogenetics for epilepsy research.

Trends of Sheet-fed Offset Presses: On-demand Technology and Power-saving UV

Trends of Sheet-fed Offset Presses: On-demand Technology and Power-saving UV

Systems marketing: a new operating model for pharmaceutical marketing

This paper introduces a new model for marketing based on systems design. Adaptive tactical systems are featured as a novel commercial approach that enables ROI to be measured holistically, and serves as a comprehensive strategy for progressive integration, accommodating new marketing components, on-demand technologies, and business ideas as they emerge and are added to the same containing whole. Initially applied to the pharmaceutical industry, the paper details the design and evolution of a brand module, a tactical system focused specifically on harvesting top-line sales from primary care brands in a middle market of the United States. Copyright © 2005 John Wiley & Sons, Ltd.

Empowering sports fans with technology

Technology continues to play a major role in sports. We have always been intrigued by the combination of sports and technology, and in 2002, along with a team of like-minded sports techno-fans, formed Vivid Sky. We wanted to explore ways to enhance our experience of attending live sporting events while still honoring tradition. For the past two years, we have been developing the SkyBOX system, which integrates emerging Wi-Fi and on-demand technologies with the Internet. Fans attending a game can tap in to a wireless network from anywhere in the stadium using a handheld device that, among other things, will let them 1) view on-demand instant replays from various cameras; 2) access real-time analytical and graphic player, team, and game statistics; 3) order food and merchandise; 4) learn from interactive rulebooks and playbooks; 5) play interactive games with and against other SkyBOX users; 6) send e-mail and graphic e-post-cards; 7) bid on in-stadium auction items; 8) check traffic for the drive home; 9) make reservations at nearby restaurants.