Raw Data Collection Software in the Swiss NFI

2019 ◽  
pp. 377-401
Author(s):  
Sandro Bischof ◽  
Enikő Stüdeli-Fey ◽  
Rolf Meile
Keyword(s):  
Data Collection ◽  
Raw Data

Privacy-preserving raw data collection without a trusted authority for IoT

2019 ◽  
Vol 148 ◽  
pp. 340-348 ◽  
Author(s):  
Yi-Ning Liu ◽  
Yan-Ping Wang ◽  
Xiao-Fen Wang ◽  
Zhe Xia ◽  
Jing-Fang Xu
Keyword(s):  
Data Collection ◽  
Privacy Preserving ◽  
Raw Data

scholarly journals Assessment of riparian environments through semi-automated procedures for the computation of eco-morphological indicators: Preliminary results of the WEQUAL project

2019 ◽  
Vol 70 (3) ◽  
pp. 131-145 ◽  
Author(s):  
Raimondo Gallo ◽  
Gianluca Ristorto ◽  
Alex Bojeri ◽  
Nadia Zorzi ◽  
Gabriele Daglio ◽  
...  
Keyword(s):  
Data Collection ◽  
Unmanned Aircraft ◽  
Environmental Data ◽  
Shared Environment ◽  
Surface Model ◽  
Riparian Areas ◽  
Raw Data ◽  
Ecological Criteria ◽  
Web Platform ◽  
The Web

Summary The aim of WEQUAL project (WEb service centre for QUALity multidimensional design and tele-operated monitoring of Green Infrastructures) is the development of a system that is able to support a quick environmental monitoring of riparian areas subjected to the realization of new green infrastructures (GI). The Wequal’s idea is to organize a service center able to manage both the Web Platform and the whole data collection and analysis processes. Through a personal account, the final user (designer, technician, researcher) can get access to the service and requires the evaluation of alternatives GI projects. On the Web Platform, a set of algorithms runs in order to calculate, through automatic procedures, all the ecological criteria required to evaluate a quality environmental index that describes the eco-morphological value of the monitored riparian areas. For this aim, the WEQUI index was developed, which uses 15 indicators that are easy to monitor. In this paper, the approach for environmental data collection and the procedures to perform the automatic assessment of two of the ecological criteria are described. For the computation, the implemented algorithms use data including the vegetation indexes, Digital Terrain Model (DTM), Digital Surface Model (DSM) and a 3D point cloud classification. All the raw data are collected by UAVs (Unmanned Aircraft Vehicle) equipped with a 3D Lidar, multispectral camera and RGB camera. Interpreting all the raw data collected by these sensors, using a multi-attribute approach, the WEQUI index is assessed. The computed ecological index is then used to assess the riparian environmental quality at ex-ante and ex-post river stabilization works. This index, integrated with additional not-technical or not-ecological indicators such as investment required, maintenance costs or social acceptance, can be used in multicriteria analyses in order to evaluate the intervention from a wider point of view. The platform is expected to be attractive for GI designers and policy makers by providing a shared environment, which is able to integrate the method of detection and evaluation of complex indexes and a multidimensional evaluation supported by an expert guide.

scholarly journals Data Preprocessing for Evaluation of Recommendation Models in E-Commerce

2019 ◽  
Author(s):  
Namrata Chaudhary ◽  
Drimik Roy Chowdhury
Keyword(s):  
User Interface ◽  
Data Collection ◽  
Data Preprocessing ◽  
Customer Behavior ◽  
Large Percentage ◽  
Robust Method ◽  
Outlier Removal ◽  
Raw Data ◽  
Statistical Procedures ◽  
Erroneous Data

E-commerce businesses employ recommender models to assist in identifying a personalized set of products for each visitor. To accurately assess the recommendations’ influence on customer clicks and buys, three target areas—customer behavior, data collection, user-interface —will be explored for possible sources of erroneous data. Varied customer behavior misrepresents the recommendations’ true influence on a customer due to the presence of B2B interactions and outlier customers. Non-parametric statistical procedures for outlier removal are delineated and other strategies are investigated to account for the effect of a large percentage of new customers or high bounce rates. Subsequently, in data collection we identify probable misleading interactions in the raw data, propose a robust method of tracking unique visitors, and accurately attributing the buy influence for combo products. Lastly, user-interface issues discuss the possible problems caused due to the recommendation widget’s positioning on the e-commerce website and the stringent conditions that should be imposed when utilizing data from the product listing page. This collective methodology results in an exact and valid estimation of the customer’s interactions influenced by the recommendation model in the context of standard industry metrics such as Click-through rates, Buy-through rates, and Conversion revenue.

scholarly journals Interrogating Clergy Compensation and Available Resources Competition in ACK Embu Diocese in Kenya.

2021 ◽  
Vol 3 (1) ◽  
pp. 225-236
Author(s):  
Alexander Njue
Keyword(s):  
Data Collection ◽  
Research Design ◽  
Target Population ◽  
Descriptive Study ◽  
Validity And Reliability ◽  
Inferential Statistics ◽  
Raw Data ◽  
Christian Population ◽  
Available Resources

The purpose of this study was to examine resources available against clergy compensation in ACK Embu Diocese. Descriptive study was carried out in four archdeaconries and inferential statistics were obtained using SPSS. The archdeaconries that were studied were Nginda, Kagaari, Kianjokoma and Karungu. The district has a population of 278,196, with total Christian population of ACK numbering to 25,000. The research design used in this study was descriptive. Kerringer (1969) state, descriptive studies are not only restricted to the facts finding but may often results in formulation of important principles of knowledge and solution to significant problems. The study employed questionnaire as the method of data collection. The researcher targeted a population of 300 people (clergy and laity). From the target population, a sample of 70 clergy and 120 laity people was purposively selected from the four archdeaconries. After data collection, the researcher put together all raw data and analyzed it by tabling it under respective groups of respondent (clergy, laity and administration). At the end of analyses the researcher presented the results in form of tables, pie charts and bar charts to help the readers understand the analyses in a better way. Validity and reliability were tested using pretesting methods. Validity is the accuracy and meaningfulness of the inferences which are based on the research resource. The study findings indicate that the resources available for clergy remuneration are land, investments (businesses such as rental income, book shops and schools) and also quota payments.

Intelligent Agents Framework for RFID Hospitals

2010 ◽  
pp. 265-278
Author(s):  
Masoud Mohammadian ◽  
Ric Jentzsch
Keyword(s):  
Data Collection ◽  
Data Acquisition ◽  
Radio Frequency Identification ◽  
Intelligent Agents ◽  
Medical Data ◽  
Time Data ◽  
Raw Data ◽  
Privacy Issue ◽  
Real Time Data ◽  
Frequency Identification

When dealing with human lives, the need to utilize and apply the latest technology to help in saving and maintaining patients’ lives is quite important and requires accurate, near-real-time data acquisition and evaluation. At the same time, the delivery of a patient’s medical data needs to be as fast and as secure as possible. One possible way to achieve this is to use a wireless framework based on radio-frequency identification (RFID). This framework can integrate wireless networks for fast data acquisition and transmission while maintaining the privacy issue. This chapter discusses the development of an agent framework in which RFID can be used for patient data collection. The chapter presents a framework for the knowledge acquisition of patient and doctor profiling in a hospital. The acquisition of profile data is assisted by a profiling agent that is responsible for processing the raw data obtained through RFID and a database of doctors and patients.

e-Quest: A metadata-based system for electronic raw data collection

2002 ◽  
Vol 19 (3) ◽  
pp. 187-200 ◽  
Author(s):  
Wolfgang Koller ◽  
Frederick Rennert ◽  
Günther Zettl
Keyword(s):  
Data Collection ◽  
Raw Data

Design and Implementation of Data Collection and Analysis Based on TWAMP

2011 ◽  
Vol 148-149 ◽  
pp. 254-257 ◽  
Author(s):  
Bin Zhang ◽  
Chao Zhang ◽  
Bao Hong He ◽  
Shu Liu
Keyword(s):  
Data Analysis ◽  
Data Collection ◽  
Distributed Network ◽  
Raw Data ◽  
Design And Implementation ◽  
Data Collection And Analysis ◽  
Ip Network

To analyze and evaluate IP network, large amounts of raw data measured by different protocol needs to be organized. After the network probes execute protocol issued by RFC, all raw data was stored in distributed network probes. So far system based on TWAMP is hard to find. No more details are described to teach system designers how to collect, store and analyze these data. In this paper two practical mechanisms are introduced. Data collection mechanism mainly focuses on how to effectively store information retrieved from raw TWAMP test packets. Data Analysis mechanism shows how to process raw data and retrieve network metric from these data.

scholarly journals Data Preprocessing for Evaluation of Recommendation Models in E-Commerce

2019 ◽  
Author(s):  
Namrata Chaudhary ◽  
Drimik Roy Chowdhury
Keyword(s):  
User Interface ◽  
Data Collection ◽  
Data Preprocessing ◽  
Customer Behavior ◽  
Large Percentage ◽  
Robust Method ◽  
Outlier Removal ◽  
Raw Data ◽  
Statistical Procedures ◽  
Erroneous Data

E-commerce businesses employ recommender models to assist in identifying a personalized set of products for each visitor. To accurately assess the recommendations’ influence on customer clicks and buys, three target areas—customer behavior, data collection, user-interface —will be explored for possible sources of erroneous data. Varied customer behavior misrepresents the recommendations’ true influence on a customer due to the presence of B2B interactions and outlier customers. Non-parametric statistical procedures for outlier removal are delineated and other strategies are investigated to account for the effect of a large percentage of new customers or high bounce rates. Subsequently, in data collection we identify probable misleading interactions in the raw data, propose a robust method of tracking unique visitors, and accurately attributing the buy influence for combo products. Lastly, user-interface issues discuss the possible problems caused due to the recommendation widget’s positioning on the e-commerce website and the stringent conditions that should be imposed when utilizing data from the product listing page. This collective methodology results in an exact and valid estimation of the customer’s interactions influenced by the recommendation model in the context of standard industry metrics such as Click-through rates, Buy-through rates, and Conversion revenue.

Strategies Used to Mobilize Resources for Clergy Remuneration in Anglican Church of Kenya (ACK) Embu Diocese, of Embu County, Kenya

2020 ◽  
Vol 2 (2) ◽  
pp. 148-158
Author(s):  
Alexander Njue
Keyword(s):  
Data Collection ◽  
Research Design ◽  
Target Population ◽  
Validity And Reliability ◽  
Inferential Statistics ◽  
Anglican Church ◽  
Raw Data ◽  
Descriptive Research ◽  
Christian Population

This study sought to investigate strategies used to mobilize resources for clergy remuneration in ACK Embu Diocese. The study was carried in Nginda, Kagaari, Kianjokoma and Karungu districts, inferential statistics were obtained using SPSS. The district has a population of 278,196, with a total Christian population of ACK numbering to 25,000. The research used descriptive research design. Kerringer (1969) state, descriptive studies are not only restricted to the facts finding Kerringer (1969) state, descriptive studies are not only restricted to the facts finding but may frequently result in the formulation of critical principles of knowledge and solution but may often result in the formulation of important principles of knowledge and solution to significant problems. The study employed a questionnaire as the method of data collection. The researcher targeted a population of 300 people (clergy and laity). From the target population, a sample of 70 clergies and 120 laity people was purposively selected from the four archdeaconries. After data collection, the researcher put together all raw data and analyzed it by tabling it under respective groups of the respondent (clergy, laity and administration). At the end of analyses, the researcher presented the results in the form of tables, pie charts and bar charts from helping the readers understand the analyses in a better way. Validity and reliability were tested using pretesting methods. Validity is the accuracy and meaningfulness of the inferences, which are based on the research resource. Quota payments was the current major strategy used to mobilize resources for clergy payment. Respondents identified various strategies for mobilizing resources as decentralizing quota payments to the parish, (60% of quota to go to the diocese and 40% to pay the clergy) and by exploiting other resources available.

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