Exploratory study to explore the role of ICT in the process of knowledge management in an Indian business environment

In the 21st century and the emergence of a digital economy, knowledge and the knowledge base economy are rapidly growing. To effectively be able to understand the processes involved in the creating, managing and sharing of knowledge management in the business environment is critical to the success of an organization. This study builds on the previous research of the authors on the enablers of knowledge management by identifying the relationship between the enablers of knowledge management and the role played by information communication technologies (ICT) and ICT infrastructure in a business setting. This paper provides the findings of a survey collected from the four major Indian cities (Chennai, Coimbatore, Madurai and Villupuram) regarding their views and opinions about the enablers of knowledge management in business setting. A total of 80 organizations participated in the study with 100 participants in each city. The results show that ICT and ICT infrastructure can play a critical role in the creating, managing and sharing of knowledge in an Indian business environment

Addendum to Informatics for Health 2017: Advancing both science and practice

This article presents presentation and poster abstracts that were mistakenly omitted from the original publication

The enablers and implementation model for mobile KMS in Australian healthcare

In this research project, the enablers in implementing mobile KMS in Australian regional healthcare will be investigated, and a validated framework and guidelines to assist healthcare in implementing mobile KMS will also be proposed with both qualitative and quantitative approaches. The outcomes for this study are expected to improve the understanding the enabling factors in implementing mobile KMS in Australian healthcare, as well as provide better guidelines for this process

Evaluating indoor positioning systems in a shopping mall : the lessons learned from the IPIN 2018 competition

The Indoor Positioning and Indoor Navigation (IPIN) conference holds an annual competition in which indoor localization systems from different research groups worldwide are evaluated empirically. The objective of this competition is to establish a systematic evaluation methodology with rigorous metrics both for real-time (on-site) and post-processing (off-site) situations, in a realistic environment unfamiliar to the prototype developers. For the IPIN 2018 conference, this competition was held on September 22nd, 2018, in Atlantis, a large shopping mall in Nantes (France). Four competition tracks (two on-site and two off-site) were designed. They consisted of several 1 km routes traversing several floors of the mall. Along these paths, 180 points were topographically surveyed with a 10 cm accuracy, to serve as ground truth landmarks, combining theodolite measurements, differential global navigation satellite system (GNSS) and 3D scanner systems. 34 teams effectively competed. The accuracy score corresponds to the third quartile (75th percentile) of an error metric that combines the horizontal positioning error and the floor detection. The best results for the on-site tracks showed an accuracy score of 11.70 m (Track 1) and 5.50 m (Track 2), while the best results for the off-site tracks showed an accuracy score of 0.90 m (Track 3) and 1.30 m (Track 4). These results showed that it is possible to obtain high accuracy indoor positioning solutions in large, realistic environments using wearable light-weight sensors without deploying any beacon. This paper describes the organization work of the tracks, analyzes the methodology used to quantify the results, reviews the lessons learned from the competition and discusses its future

Mobile Health Technologies

Mobile Health Technologies, also known as mHealth technologies, have emerged, amongst healthcare providers, as the ultimate Technologies-of-Choice for the 21st century in delivering not only transformative change in healthcare delivery, but also critical health information to different communities of practice in integrated healthcare information systems. mHealth technologies nurture seamless platforms and pragmatic tools for managing pertinent health information across the continuum of different healthcare providers. mHealth technologies commonly utilize mobile medical devices, monitoring and wireless devices, and/or telemedicine in healthcare delivery and health research. Today, mHealth technologies provide opportunities to record and monitor conditions of patients with chronic diseases such as asthma, Chronic Obstructive Pulmonary Diseases (COPD) and diabetes mellitus. The intent of this book is to enlighten readers about the theories and applications of mHealth technologies in the healthcare domain

Data-Driven Grasp Synthesis - A Survey

We review the work on data-driven grasp synthesis and the methodologies for sampling and ranking candidate grasps. We divide the approaches into three groups based on whether they synthesize grasps for known, familiar or unknown objects. This structure allows us to identify common object representations and perceptual processes that facilitate the employed data-driven grasp synthesis technique. In the case of known objects, we concentrate on the approaches that are based on object recognition and pose estimation. In the case of familiar objects, the techniques use some form of a similarity matching to a set of previously encountered objects. Finally for the approaches dealing with unknown objects, the core part is the extraction of specific features that are indicative of good grasps. Our survey provides an overview of the different methodologies and discusses open problems in the area of robot grasping. We also draw a parallel to the classical approaches that rely on analytic formulations.Comment: 20 pages, 30 Figures, submitted to IEEE Transactions on Robotic

Happy Family Kitchen II, a community-based participatory research (CBPR) to enhance Family Health, Happiness and Harmony in Hong Kong: A cluster randomized control trial under FAMILY Project

Oral Poster Presentation SessionHong Kong Council of Social Service and School of Public Health, HKU conducted a three-arm cluster randomized control trial (cRCT) of a community-based participatory research (CBPR) “Happy Family Kitchen II” during July 2012 to June 2013. The present paper compared intervention arm A and control arm C to determine whether CBPR intervention improved family health, happiness and harmony (3Hs). 31 organizations in Tsuen Wan and Kwai Tsing districts were randomly allocated into: intervention arms A (n=11) and B (n=10), and waitlist control arm C (n=10).Within positive psychology and an agreed similar framework, each organization organized their own program on one selected theme of “Five-Taste Model” for people aged 6+ recruited by organization. Arm A had two intervention-sessions and one tea-gathering, and arm C had tea-gathering first (intervention at 3 months later). Participants were assessed four times (T1, pre-intervention; T2, immediately post-intervention; T3 and T4, 1 and 3 months after T2). Changes of primary outcomes from T1 to T3/T4 were compared in participants aged 12+ of arms A and C. Behavior score change was greater in arm A (n=416) than arm C (n=432) at both T3 (Effect size=0.11, p=0.03) and T4 (ES=0.21, p=0.003). Family health score and happiness score changes were greater in arm A than arm C at T3, with ES=0.23 (p=0.001) and ES=0.18 (p=0.01) respectively. Mental health score and intention score changes were greater in arm A than arm C at T4, with ES=0.16 (p=0.03) and ES=0.18 (p=0.01) respectively. All changes above indicated improvements in outcomes. This was the first cRCT to evaluate a CBPR short intervention in Hong Kong, which was effective with small effect size in increasing participants’ intention and practice in healthy behaviors and improving family 3Hs, suggesting that CBPR, evidence-based and evidence-generating programmes are feasible and effective.postprin

Strengthening family relationship to increase family health, happiness and harmony: Findings from a Community-based Participatory Research (CBPR) project under FAMILY: A Jockey Club Initiative for a Harmonious Society Project in Hong Kong

Oral Poster Presentation SessionSham Shui Po (SSP) district is one of the districts with high population density and lowest median household income. A CBPR project “Enhancing Family Well-being Project” was conducted by SSP District Social Welfare Office and School of Public Health, the University of Hong Kong from February 2012 to May 2013. (1) To promote family health, happiness and harmony (3Hs) by building capacity for families to enhance family relationship; (2) To investigate the effectiveness of CBPR programmes in improving family relationship and 3Hs. After training, based on positive psychology, social service workers in 30 participating organizations designed and organized their own programmes (one 2-hour session; one 1-hour booster) on one self-selected theme (“Gratitude”, “Hope/Resilience” and “Open-mindedness”) for people aged 6+ recruited by the organization. Participants were assessed four times (T1, pre-intervention; T2, immediately post-intervention; T3, 6 weeks and T4, 3 months after T2) primarily on family relationship and family 3Hs using Family Relationship Scale and family 3H indicators respectively. 1586 individuals aged 12+ from 1031 families participated in 29 programmes. Most (89.5%) were aged 18+, 69.0% were female, 65.9% had secondary or above education level and 69.5% were married. The mean score of overall family relationship increased from 75.6 (T1) to 76.0 (T4) (effect size, ES=0.06, p=0.03). The mean scores of family expressiveness increased (ES=0.10, p<0.001) and family conflict decreased from T1 to T4 (ES=-0.05, p=0.04). Family health, happiness and harmony scores all significantly increased from T1 to T4: ES = 0.14 (p<0.001), 0.10 (p<0.001) and 0.10 (p<0.001) respectively. All changes above indicated improvements after the programmes. This CBPR brief intervention was effective in enhancing family relationship and 3Hs. The effects were small but sustained up to 3 months. The main limitation was the lack of a control group, which was not feasible in a large CBPR project.postprin

Monte Carlo Method with Heuristic Adjustment for Irregularly Shaped Food Product Volume Measurement

Volume measurement plays an important role in the production and processing of food products. Various methods have been proposed to measure the volume of food products with irregular shapes based on 3D reconstruction. However, 3D reconstruction comes with a high-priced computational cost. Furthermore, some of the volume measurement methods based on 3D reconstruction have a low accuracy. Another method for measuring volume of objects uses Monte Carlo method. Monte Carlo method performs volume measurements using random points. Monte Carlo method only requires information regarding whether random points fall inside or outside an object and does not require a 3D reconstruction. This paper proposes volume measurement using a computer vision system for irregularly shaped food products without 3D reconstruction based on Monte Carlo method with heuristic adjustment. Five images of food product were captured using five cameras and processed to produce binary images. Monte Carlo integration with heuristic adjustment was performed to measure the volume based on the information extracted from binary images. The experimental results show that the proposed method provided high accuracy and precision compared to the water displacement method. In addition, the proposed method is more accurate and faster than the space carving method