20 results on '"Yu-Jen Ku"'
Search Results
2. Vehicular and Edge Computing for Emerging Connected and Autonomous Vehicle Applications.
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Sabur Baidya, Yu-Jen Ku, Hengyu Zhao, Jishen Zhao, and Sujit Dey
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- 2020
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3. Sustainable Vehicular Edge Computing Using Local and Solar-Powered Roadside Unit Resources.
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Yu-Jen Ku and Sujit Dey
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- 2019
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4. Quality of Service Optimization for Vehicular Edge Computing with Solar-Powered Road Side Units.
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Yu-Jen Ku, Po-Han Chiang, and Sujit Dey
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- 2018
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5. Adaptive Computation Partitioning and Offloading in Real-Time Sustainable Vehicular Edge Computing
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Yu-Jen Ku, Sujit Dey, and Sabur Baidya
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Computer Networks and Communications ,Computer science ,Computation ,Distributed computing ,Automotive Engineering ,Aerospace Engineering ,Electrical and Electronic Engineering ,Vehicular edge computing - Published
- 2021
6. A Green Context-Aware Platform for Smart Living.
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Chun-Yu Chen, Yu-Jen Ku, Chih-Wei Ho, Yan-Ze Lin, and Chun-Ting Chou
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- 2013
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7. Astragalus Polysaccharides and Metformin May Have Synergistic Effects on the Apoptosis and Ferroptosis of Lung Adenocarcinoma A549 Cells
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I-Yun Lee, Ting-Chung Wang, Yu-Jen Kuo, Wei-Tai Shih, Pei-Rung Yang, Cheng-Ming Hsu, Yu-Shih Lin, Ren-Shyang Kuo, and Ching-Yuan Wu
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Astragalus polysaccharides (APS) ,metformin ,apoptosis ,ferroptosis ,lung cancer ,A549 cells ,Biology (General) ,QH301-705.5 - Abstract
Astragalus polysaccharides (APSs), the compounds extracted from the common herb Astragalus membranaceus, have been extensively studied for their antitumor properties. In this study, we investigated the effect of APS on lung adenocarcinoma A549 cells. The effects of APS and the anti-diabetic drug metformin on apoptosis and ferroptosis were compared. Furthermore, the combination treatment of APS and metformin was also investigated. We found that APS not only reduced the growth of lung cancer cells but also had a synergistic effect with metformin on A549 cells. The study results showed that it may be promising to use APS and metformin as a combination therapy for the treatment of lung adenocarcinoma.
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- 2024
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8. Fog RAN over General Purpose Processor Platform.
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Yu-Jen Ku, Dian-Yu Lin, and Hung-Yu Wei
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- 2016
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9. Real-Time QoS Optimization for Vehicular Edge Computing With Off-Grid Roadside Units
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Po-Han Chiang, Yu-Jen Ku, and Sujit Dey
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Mobile edge computing ,Computer Networks and Communications ,business.industry ,Computer science ,Quality of service ,Aerospace Engineering ,020302 automobile design & engineering ,02 engineering and technology ,Service provider ,Grid ,Scheduling (computing) ,Base station ,0203 mechanical engineering ,Server ,Automotive Engineering ,Resource allocation ,Electrical and Electronic Engineering ,business ,Solar power ,Edge computing ,Computer network - Abstract
To sustainably provide low-latency communication and edge computing for connected vehicles, a promising solution is using Solar-powered Roadside Units (SRSUs), which consist of small cell base stations and Mobile Edge Computing servers. However, due to the intermittent nature of solar power, SRSUs may suffer from a high risk of power deficiency, which will lead to severe disruption of vehicular edge computing applications. In this paper, we aim to address this challenge of Quality of Service (QoS) loss (i.e., edge computing service outage for vehicle users (VUs)). We formulate a QoS optimization problem for VUs and solve it in two phases: an offline solar energy scheduling phase, and an online user association and SRSU resource allocation phase. We simulate our proposed technique in a dense SRSU network environment with real-world urban vehicular traffic data and solar generation profile. The simulation results show that our proposed approach can significantly reduce QoS loss of vehicular edge computing applications using SRSUs, compared to existing techniques. Further, the results are beneficial to service providers and city planners to identify adequate SRSU configurations for expected solar energy generation and edge computing service demands.
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- 2020
10. State of Energy Prediction in Renewable Energy-driven Mobile Edge Computing using CNN-LSTM Networks
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Yu-Jen Ku, Sujit Dey, Sabur Baidya, and Sandalika Sapra
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Battery (electricity) ,Base station ,Recurrent neural network ,Mobile edge computing ,Wind power ,Computer science ,business.industry ,Real-time computing ,Testbed ,Grid ,business ,Edge computing - Abstract
Renewable energy (RE) is a promising solution to save grid power in mobile edge computing (MEC) systems and thus reducing the carbon footprints. However, to effectively operate the RE-based MEC system, a method for predicting the state of energy (SoE) in the battery is essential, not only to prevent the battery from over-charging or over-discharging, but also allowing the MEC applications to adjust their loads in advance based on the energy availability. In this work, we consider RE-powered MEC systems at the Road-side Unit (RSU) and focus on predicting its battery's SoE by using machine learning technique. We developed a real-world RE-powered RSU testbed consisting of edge computing devices, small cell base station, and solar as well as wind power generators. By operating RE-powered RSU for serving real-world computation task offloading demands, we collect the corresponding data sequences of battery's SoE and other observable parameters of the MEC systems that impact the SoE. Using a variant of Long Short-term Memory (LSTM) model with additional convolutional layers, we form a CNN-LSTM model which can predict the SoE accurately with very low prediction error. Our results show that CNN-LSTM outperforms other Recurrent Neural Networks (RNN) based models for predicting intra-hour and hour-ahead SoE.
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- 2020
11. Vehicular and Edge Computing for Emerging Connected and Autonomous Vehicle Applications
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Sujit Dey, Yu-Jen Ku, Sabur Baidya, Hengyu Zhao, and Jishen Zhao
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Computer science ,Distributed computing ,0202 electrical engineering, electronic engineering, information engineering ,Resource allocation ,020206 networking & telecommunications ,02 engineering and technology ,Edge computing ,Power (physics) - Abstract
Emerging connected and autonomous vehicles involve complex applications requiring not only optimal computing resource allocations but also efficient computing architectures. In this paper, we unfold the critical performance metrics required for emerging vehicular computing applications and show with preliminary experimental results, how optimal choices can be made to satisfy the static and dynamic computing requirements in terms of the performance metrics. We also discuss the feasibility of edge computing architectures for vehicular computing and show tradeoffs for different offloading strategies. The paper shows directions for light weight, high performance and low power computing paradigms, architectures and design-space exploration tools to satisfy evolving applications and requirements for connected and autonomous vehicles.
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- 2020
12. Sustainable Vehicular Edge Computing Using Local and Solar-Powered Roadside Unit Resources
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Sujit Dey and Yu-Jen Ku
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Computer science ,business.industry ,Quality of service ,Node (networking) ,05 social sciences ,050801 communication & media studies ,020206 networking & telecommunications ,Throughput ,02 engineering and technology ,Grid ,Base station ,0508 media and communications ,Server ,0202 electrical engineering, electronic engineering, information engineering ,Bandwidth (computing) ,Resource allocation ,business ,Edge computing ,Computer network - Abstract
In this paper, we explore a sustainable solution to growing vehicular computing and communication needs by utilizing edge computing and communication resources of a network of Solar- powered Roadside Units (SRSUs), along with any vehicular computing resources available. The solution ensures no additional grid energy expended while minimizing any QoS loss for the vehicle users (VUs). An SRSU consists of a small cell base station (SBS) and a road-edge computing (REC) node, is powered by a low-cost solar system. VUs can offload their vehicular application tasks to SRSUs to receive high throughput and low latency services. However, the limited capacity of solar energy, REC computing, and bandwidth resources may cause service disruption and affect the Quality of Service (QoS) that VUs receive. To minimize such QoS loss, we formulate a dynamic offloading QoS loss minimization problem, where the different subtasks of a VU application are optimally executed either locally using the VU computing resource or remotely using the REC resource, considering the energy, computing and bandwidth constraints of the SRSU network. We then propose to solve it by a heuristic algorithm which jointly makes the optimal user association, subtask offloading, and SRSU resource allocation decisions. To evaluate the proposed algorithm, we build a simulation framework consisting of a dense SRSU network using real-world solar energy generation and urban vehicular traffic data. The simulation results show that our proposed approach can significantly reduce QoS loss compared to other best effort strategies.
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- 2019
13. Vehicular and Edge Computing for Emerging Connected and Autonomous Vehicle Applications.
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Baidya, Sabur, Yu-Jen Ku, Hengyu Zhao, Jishen Zhao, and Dey, Sujit
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EDGE computing ,AUTONOMOUS vehicles ,KEY performance indicators (Management) ,TECHNOLOGICAL innovations ,RESOURCE allocation - Abstract
Emerging connected and autonomous vehicles involve complex applications requiring not only optimal computing resource allocations but also efficient computing architectures. In this paper, we unfold the critical performance metrics required for emerging vehicular computing applications and show with preliminary experimental results, how optimal choices can be made to satisfy the static and dynamic computing requirements in terms of the performance metrics. We also discuss the feasibility of edge computing architectures for vehicular computing and show tradeoffs for different offloading strategies. The paper shows directions for light weight, high performance and low power computing paradigms, architectures and design-space exploration tools to satisfy evolving applications and requirements for connected and autonomous vehicles. [ABSTRACT FROM AUTHOR]
- Published
- 2020
14. Context-specific variation and repeatability in behavioral traits of bent-wing bats
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Yu-Jen Kuo, Ya-Fu Lee, Yen-Min Kuo, and Yik Ling Tai
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Activity ,Animal personality ,Bats ,Behavioral syndrome ,Boldness ,Exploration ,Zoology ,QL1-991 - Abstract
Abstract Animals may show consistent among-individual behavioral differences over time and in different contexts, and these tendencies may be correlated to one another and emerge as behavioral syndromes. The cross-context variation in these behavioral tendencies, however, is rarely explored with animals in contexts associated with different locomotion modes. This study assessed the variation and repeatability in behavioral traits of bent-wing bats Miniopterus fuliginosus in southern Taiwan, and the effects of contextual settings associated with locomotion mode. The bats were sampled in the dry winter season, and their behaviors were measured in hole-board box (HB) and tunnel box (TB) tests, both suited for quadrupedal movements of the bats, and flight-tent (FT) tests that allowed for flying behaviors. The bats in the FT tests showed more interindividual and between-trial behavioral variation than those in the HB and TB tests. Nearly all of the behaviors in the TB and FT tests, but only half of those in the HB tests, showed medium to high repeatability. These repeatable behaviors were grouped into distinct behavioral traits of boldness, activity, and exploration, which were correlated to one another across contexts. In addition, we observed a consistently higher correlation between behavioral categories across the HB and TB contexts than between either of these contexts and the FT context. The results indicate consistent among-individual behavioral differences across time and contexts in wildly caught bent-wing bats. The findings of behavioral repeatability and cross-context correlations also indicate context-dependent variation and suggest that test devices which allow for flight behaviors, such as flight tents or cages, may provide a more suitable setting for measuring the behaviors and animal personalities of bats, particularly for those species that display less or little quadrupedal movements.
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- 2023
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15. Fog RAN over General Purpose Processor Platform
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Hung-Yu Wei, Yu-Jen Ku, and Dian-Yu Lin
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Radio access network ,business.industry ,Computer science ,Testbed ,020206 networking & telecommunications ,Cloud computing ,02 engineering and technology ,Utility computing ,0202 electrical engineering, electronic engineering, information engineering ,Baseband ,020201 artificial intelligence & image processing ,Resource management ,business ,Resource management (computing) ,Edge computing ,Computer network - Abstract
novel Fog Radio Access Network architecture based on General Purpose Processor(GPP) Platform is proposed. Traditionally, people consider fog computing service as an independent computing unit in the Radio Access Network(RAN). Our design, on the contrary, considers both the computing resource for RAN and for fog computing application as an integrated computing resource pool. Based on the observation of the CPU load measurement on the Baseband Unit(BBU) testbed, we further scrutinize our proposed model and prove that it is feasible in the realistic RAN system.
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- 2016
16. Effects of host state and body condition on parasite infestation of bent-wing bats
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Yik Ling Tai, Ya-Fu Lee, Yen-Min Kuo, and Yu-Jen Kuo
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Bats ,Bat flies ,Body condition ,Miniopterus fuliginosus ,Parasites ,Wing mites ,Zoology ,QL1-991 - Abstract
Abstract Background Ectoparasites inhabit the body surface or outgrowths of hosts and are usually detrimental to host health and wellbeing. Hosts, however, vary in quality and may lead ectoparasites to aggregate on preferred hosts, resulting in a heterogeneous distribution of parasite load among hosts. Results We set out to examine the effects of host individual state and body condition on the parasite load of multiple nycteribiid and streblid bat flies and Spinturnix wing mites on eastern bent-wing bats Miniopterus fuliginosus in a tropical forest in southern Taiwan. We detected a high parasite prevalence of 98.9% among the sampled bats, with nearly 75% of the bats harboring three or more species of parasites. The parasite abundance was higher in the wet season from mid spring to early fall, coinciding with the breeding period of female bats, than in the dry winter season. In both seasonal periods, the overall parasite abundance of adult females was higher than that of adult males. Among the bats, reproductive females, particularly lactating females, exhibited a higher body condition and were generally most infested. The Penicillidia jenynsii and Nycteribia parvula bat flies showed a consistent female-biased infection pattern. The N. allotopa and Ascodipteron speiserianum flies, however, showed a tendency towards bats of a moderate to higher body condition, particularly reproductive females and adult males. Conclusions We found an overall positive correlation between parasite abundance and reproductive state and body condition of the host and female-biased parasitism for M. fuliginosus bats. However, the effects of body condition and female-biased infestation appear to be parasite species specific, and suggest that the mobility, life history, and potential inter-species interactions of the parasites may all play important roles.
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- 2022
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17. A Green Context-Aware Platform for Smart Living
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Chih-Wei Ho, Chung-Ting Chou, Chun-Yu Chen, Yu-Jen Ku, and Yan-Ze Lin
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Smart system ,Ubiquitous computing ,Green computing ,Software deployment ,Emerging technologies ,Computer science ,Server ,SAFER ,Context (language use) ,Computer security ,computer.software_genre ,computer - Abstract
Smart living has always been considered as a killer application when new technologies emerged. It is envisioned that smart living will enable a healthier, safer and more comfortable life while reducing resource consumption. Unfortunately, adoption of smart-living technologies and services has been very slow especially in residential environments. Several factors have contributed to such slow and limited deployment. First, installation and configuration of a smart system is usually complicated. Second, maintenance is always a headache for ordinary users. Any repair that requires rewiring is not only time consuming but also very costly. Finally, access to smart-living information and services was not properly addressed. In views of these challenges, a green and context-aware platform is proposed for smart living. In this platform, a full range of self-powered behavioral sensors are developed. These sensors connect objects including toilets, doors, windows, gas stoves, faucets and even tooth brushes to a home network so that various user/environment activities can be recorded. The platform, with the the help of our sensors, is able to provide customized, context-aware services without using any intrusive sensors such as cameras. The platform is implemented in an off-campus apartment to demonstrate its potentials.
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- 2013
18. Develop companion radiopharmaceutical YKL40 antibodies as potential theranostic agents for epithelial ovarian cancer
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Ming-Cheng Chang, Ping-Fang Chiang, Yu-Jen Kuo, Cheng-Liang Peng, I.-Chun Chen, Chia-Yen Huang, Chi-An Chen, and Ying-Cheng Chiang
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Epithelial ovarian cancer ,Radiopharmaceutical agent ,In-111/Lu-177-DTPA-YKL40 neutralizing antibodies ,Therapeutics. Pharmacology ,RM1-950 - Abstract
Epithelial ovarian cancer (EOC) is usually diagnosed at an advanced stage and has poor prognosis. Theranostic agents are the current trend in drug development, but are lacking in EOC. YKL40 is predominantly expressed and involved in tumorigenesis in EOC. In this study, we developed a companion theranostic agent targeting YKL40. We measured YKL40 expression levels in ascites using ELISA and correlated them with the clinical outcomes of patients with EOC. We developed radionuclide labeled In-111/Lu-177-DTPA-YKL40 neutralizing antibodies and investigated their radiochemical purity, SPECT/CT imaging, bio-distribution, and therapeutic responses in ovarian cancer xenograft mice. We demonstrated that YKL40 expression levels in ascites were significantly higher in EOC patients with serous histological type, high tumor grade, advanced stage, tumor recurrence, chemoresistance, and tumor-related death. The radiochemical purity of In-111/Lu-177-DTPA-YKL40 neutralizing antibodies reached more than 90% after 24 h of labeling. SPECT/CT imaging showed significant accumulation of In-111-DTPA-YKL40 and Lu-177-DTPA-YKL40 antibodies at the tumor site of ovarian cancer xenograft mice 24 h after administration. Lu-177-DTPA-YKL40 antibodies significantly inhibited tumor growth in ovarian cancer xenograft mice. Our study indicated that In-111/Lu-177-DTPA-YKL40 neutralizing antibodies could be potential companion theranostic agents for patients with EOC.
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- 2022
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19. Pharmacological and Chemical Potential of Spiranthes sinensis (Orchidaceae): A Narrative Review
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Yu-Jen Kuo, Jin-Kuo Pei, and Wen-Wan Chao
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Spiranthes sinensis ,Orchidaceae ,dihydro/phenanthrenes ,3,4-dihydroxybenzaldehyde ,ferulic acid ,flavonoid ,Botany ,QK1-989 - Abstract
Orchidaceae is one of the largest families of flowering plants with more than 27,000 accepted species, and more than 31,000–35,000 species are estimated to exist in total. The orchid Spiranthes sinensis (Pers.) Ames, having ornamental and medicinal value, is widely distributed throughout Asia and Oceania. S. sinensis (Shou Tsao) is also known as Panlongshen among the common folk herbs. It has a fleshy root similar to ginseng, and the entire plant is widely used in traditional Chinese medicine. Owing to overexploitation and habitat destruction in recent years, the wild population has become scarce. The traits of this species show obvious differences in different countries. In the Taiwanese climate, it flowers during the Ching Ming Festival, also called the ching ming tsao. Previous investigations into S. sinensis have revealed the presence of flavonoids, homocyclotirucallane, dihydrophenanthrenes, ferulic acid, and 3,4-dihydroxybenzaldehyde. Phenolic constituents of structural and biological interest, including phenanthrenes and flavonoids, have been isolated and identified from S. sinensis. This natural product possesses extensive bioactivity, including anti-tumor, anti-inflammatory, and antioxidant effects. In this review, we outline the herbal medicine formulations and plant-derived natural products of S. sinensis.
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- 2022
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20. Hyaluronan-Loaded Liposomal Dexamethasone–Diclofenac Nanoparticles for Local Osteoarthritis Treatment
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Ming-Cheng Chang, Ping-Fang Chiang, Yu-Jen Kuo, Cheng-Liang Peng, Kuan-Yin Chen, and Ying-Cheng Chiang
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liposomal nanoparticle ,dexamethasone ,diclofenac ,osteoarthritis ,Biology (General) ,QH301-705.5 ,Chemistry ,QD1-999 - Abstract
Osteoarthritis (OA) remains one of the common degenerative joint diseases and a major cause of pain and disability in older adult individuals. Oral administration of non-steroidal anti-inflammatory drugs (NSAIDs) (such as diclofenac, DIC) or intra-articular injected gluco-corticosteroids (such as dexamethasone, DEX) were the conventional treatment strategies for OA to reduce joint pain. Current limitations for both drugs including severe adverse effects with risks of toxicity were noted. The aim of the present study was to generate a novel OA treatment formulation hyaluronic acid (HA)-Liposomal (Lipo)-DIC/DEX to combat joint pain. The formulation was prepared by constructing DIC with DEX-loaded nanostructured lipid carriers Lipo-DIC/DEX mixed with hyaluronic acid (HA) for prolonged OA application. The prepared Lipo-DIC/DEX nanoparticles revealed the size as 103.6 ± 0.3 nm on average, zeta potential as −22.3 ± 4.6 mV, the entrapment efficiency of 90.5 ± 5.6%, and the DIC and DEX content was 22.5 ± 4.1 and 2.5 ± 0.6%, respectively. Evidence indicated that HA-Lipo-DIC/DEX could reach the effective working concentration in 4 h and sustained the drug-releasing time for at least 168 h. No significant toxicities but increased cell numbers were observed when HA-Lipo-DIC/DEX co-cultured with articular chondrocytes cells. Using live-animal In vivo imaging system (IVIS), intra-articular injection of each HA-Lipo-DIC/DEX sufficed to reduce knee joint inflammation in OA mice over a time span of four weeks. Single-dose injection could reduce the inflammation volume down to 77.5 ± 5.1% from initial over that time span. Our results provided the novel drug-releasing formulation with safety and efficiency which could be a promising system for osteoarthritis pain control.
- Published
- 2021
- Full Text
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