Predictive Data Delivery to Mobile Users Through Mobility Learning in Wireless Sensor Networks

HyungJune Lee,Wicke, Martin,Kusy, Branislav,Gnawali, Omprakash,Guibas, Leonidas IEEE 2015 IEEE Transactions on Vehicular Technology VT Vol.64 No.12

<P>We consider applications, such as indoor navigation, evacuation, or targeted advertising, where mobile users equipped with a smartphone-class device require access to sensor network data measured in their proximity. Specifically, we focus on efficient communication protocols between static sensors and users with changing location. Our main contribution is to predict a set of possible future paths for each user and store data at sensor nodes with which the user is likely to associate. We use historical data of radio connectivity between users and static sensor nodes to predict the future user-node associations and propose a network optimization process, i.e., data stashing, which uses the predictions to minimize network and energy overheads of packet transmissions. We show that data stashing significantly decreases routing cost for delivering data from stationary sensor nodes to multiple mobile users compared with routing protocols where sensor nodes immediately deliver data to the last known association nodes of mobile users. We also show that the scheme provides better load balancing, avoiding collisions and consuming energy resources evenly throughout the network, leading to longer overall network lifetime. Finally, we demonstrate that even limited knowledge of the location of future users can lead to significant improvements in routing performance.</P>

A Novel Framework for Online Amnesic Trajectory Compression in Resource-Constrained Environments

Liu, Jiajun,Zhao, Kun,Sommer, Philipp,Shang, Shuo,Kusy, Brano,Lee, Jae-Gil,Jurdak, Raja IEEE 2016 IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERIN Vol.28 No.11

<P>State-of-the-art trajectory compression methods usually involve high space-time complexity or yield unsatisfactory compression rates, leading to rapid exhaustion of memory, computation, storage, and energy resources. Their ability is commonly limited when operating in a resource-constrained environment especially when the data volume (even when compressed) far exceeds the storage limit. Hence, we propose a novel online framework for error-bounded trajectory compression and ageing called the Amnesic Bounded Quadrant System (ABQS), whose core is the Bounded Quadrant System (BQS) algorithm family that includes a normal version (BQS), Fast version (FBQS), and a Progressive version (PBQS). ABQS intelligently manages a given storage and compresses the trajectories with different error tolerances subject to their ages. In the experiments, we conduct comprehensive evaluations for the BQS algorithm family and the ABQS framework. Using empirical GPS traces from flying foxes and cars, and synthetic data from simulation, we demonstrate the effectiveness of the standalone BQS algorithms in significantly reducing the time and space complexity of trajectory compression, while greatly improving the compression rates of the state-of-the-art algorithms (up to 45 percent). We also show that the operational time of the target resource-constrained hardware platform can be prolonged by up to 41 percent. We then verify that with ABQS, given data volumes that are far greater than storage space, ABQS is able to achieve 15 to 400 times smaller errors than the baselines. We also show that the algorithm is robust to extreme trajectory shapes.</P>

Impact of Safety Worker Behavior and Safety Climate as Mediator and Safety Training as Moderator on Safety Performance in Construction Firms in Nepal

Dinesh Sukamani,Junwu Wang,Manita Kusi 대한토목학회 2021 KSCE JOURNAL OF CIVIL ENGINEERING Vol.25 No.5

The study targeted to find the pragmatic relation on mediating role of Safety Climate (SCL) and Safety Worker Behavior (SWB), and moderating role of Safety Training (ST) for better Safety Performance (SP). The target area of the study is on construction firms in developing countries like Nepal. A structured questionnaire tool was applied to conduct the survey. Out of 350 response targets, only 293 respondent’s data were analyzed using statistic SPSS 23 and were empirically tested using AMOS 23. The analysis explored complementary partial mediation of the mediating variable SCL and SWB between Safety Culture (SCU) and Safety Performance (SP). Besides, the study also showed how ST moderated the relation between SWB & SP and justified the insignificant moderation role of ST on relation between SCL& SP. This research shed the light on the mediating impact of SCL and SWB adding the moderation relation of ST on the effective safety performance in the construction firms. Besides, this industrial approach research will widen and improve the literature of SP in construction firms in developing nations in modernizing the policy. Consequently, this study would widen the knowledge of policymakers prompting effective safety performance in the construction project.

C-Reactive Protein (CRP) as an Inflammatory Marker: A Case Control Study on HCV Infected HIV and Non-Infected Healthy Individuals

( Suresh Jaiswal ),( Abhishek Lamichhane ),( Dipa Kusi ),( Man Bahadur Khatri ),( Prakash Khanal ) 대한간학회 2020 춘·추계 학술대회 (KASL) Vol.2020 No.1

Aims: HIV is the chronic viral infection documented worldwide and HCV infection in HIV is a major infection. C-reactive protein is one of the acute-phase protein used as biomarker of inflammation. CRP is hepatic in origin which increases their concentrations during certain inflammatory disorders. CRP levels in human serum are normally quite low (around 1μl/mL), but it increases several hundred folds during the acute-phase inflammation. Methods: A Case control study was carried out in 244 participants including 122 HCV infected HIV and 122 non-infected (healthy) individuals for the comparison of CRP concentration using Nephelometry method by MISPA i2. The blood samples for case were taken from ART center of Western regional hospital and for control samples were taken from Pokhara valley through counseling and Questionnaires and ethical permission was obtained from IRC. Results: Among the 122 HCV infected participants 16(13.11%) individuals had CRP concentration >6mg/L and healthy 122 participants only 2(1.63%) participants had CRP concentration >6mg/L bearing of positive prevalence rate. This showed the significance level of P=0.001 and OR=9.057 with nine fold higher prevalence in the case and control. Male participant were found to have higher level of CRP (>6mg/L) in case, among 16 CRP positive, 9(7.4%) were male and 7(5.7%) were female. In control equal prevalence of positive CRP concentration (>6mg/L) was sheen between male and female 1(.8%). The sex wise distribution showed no significance with the CRP level. The mean CRP concentration in HIV infected participants was 2.07mg/L and in non-infected (healthy) participants was 1.40mg/L. Conclusions: Highest prevalence of the positive CRP concentration was among the case in our study which might be due to the defect in immune system of HCV-HIV infected individuals than of healthy individuals.

Impact of the Lightwave Health Information Management Software on the Dimensions of Quality of Healthcare Data

Charles Nana Agyemang Amoateng,Emmanuel Kusi Achampong 대한의료정보학회 2024 Healthcare Informatics Research Vol.30 No.1

Objectives: The use of technology in healthcare to manage patient records, guide diagnosis, and make referrals is termed electronic healthcare. An electronic health record system called Lightwave Health Information Management System (LHIMS) was implemented in 2018 at Cape Coast Teaching Hospital (CCTH). This study evaluated the impact of LHIMS on the quality of healthcare data at CCTH, focusing on the extent to which its use has enhanced the main dimensions of data quality. Methods: Structured questionnaires were administered to doctors at CCTH to enquire about their opinions about the present state of LHIMS as measured against the parameters of interest in this study, mainly the dimensions of quality healthcare data and the specific issues plaguing the system as reported by respondents. Results: Most doctors found LHIMS convenient to use, mainly because it made access to patient records easier and had to some extent improved the dimensions of quality healthcare data, except for comprehensiveness, at CCTH. Major challenges that impeded the smooth running of the system were erratic power supply, inadequate logistics and technological drive, and poor internet connectivity. Conclusions: LHIMS must be upgraded to include more decision support systems and additional add-ons such as patients’ radiological reports, and laboratory results must be readily available on LHIMS to make patient health data more comprehensive.

Genotype × environment interactions of yield of cowpea (Vigna unguiculata (L.) Walp) inbred lines in the Guinea and Sudan Savanna

Emmanuel Yaw Owusu,Isaac Kodzo Amegbor,Haruna Mohammed,Francis Kusi,Ibrahim Atopkle,Emmanuel Kofi Sie,Memunatu Ishahku,Muktaru Zakaria,Sumani Iddrisu,Haruna Ali Kendey,Ousmane Boukar,Christian Fatokun 한국작물학회 2020 Journal of crop science and biotechnology Vol.23 No.5

The variable cowpea productivity across diff erent environments demands evaluating the performance of genotypes in a breeding program prior to their release. The aim of this study was to assess yield stability of eight cowpea advanced breeding lines selected from participatory varietal selection in multilocational trials, and to identify mega-environments for cowpea production in Ghana. The genotypes were evaluated across fi ve environments in 2016 and 2017 in randomized complete block design with three replications. The GEA-R version 4.0 software was used for genotype main eff ect plus genotype by environment interaction (GGE) biplot analyses. Analysis of variance (PROC GLM of SAS using a RANDOM statement with the TEST option) detected signifi cant variations for location, year, genotype, environment, and their interactions. The results showed that the yield performances of the cowpea genotypes were highly infl uenced by genotype × environment interaction eff ects. The principal component 1 (PC1) and PC2 were signifi cant components which accounted for 46.75% and 22.84% of GGE sum of squares, respectively. We showed for the fi rst time, two mega-environments for cowpea production and testing in the major cowpea production agro-ecologies in Ghana. The genotypes SARI-6-2-6 and IT07K-303-1 were adapted to Damongo, Nyankpala, and Tumu, whereas SARI-2-50-80 was adapted to Yendi and Manga. The best ranking location was Damongo followed by Tumu, and Nyankpala. The high-yielding genotypes, IT86D-610, IT10K-837-1, IT07K-303-1, and SARI-2-50-80 had signifi cant higher grain yields than the check (Bawutawuta) and were recommended for release as cultivars (or as breeding lines) to boost cowpea production in Ghana.