A Tracking System Using Location Prediction and Dynamic Threshold for Minimizing SMS Delivery

Lai, Yuan-Cheng,Lin, Jian-Wei,Yeh, Yi-Hsuan,Lai, Ching-Neng,Weng, Hui-Chuan The Korea Institute of Information and Commucation 2013 Journal of communications and networks Vol.15 No.1

In this paper, a novel method called location-based delivery (LBD), which combines the short message service (SMS) and global position system (GPS), is proposed, and further, a realistic system for tracking a target's movement is developed. LBD reduces the number of short message transmissions while maintaining the location tracking accuracy within the acceptable range. The proposed approach, LBD, consists of three primary features: Short message format, location prediction, and dynamic threshold. The defined short message format is proprietary. Location prediction is performed by using the current location, moving speed, and bearing of the target to predict its next location. When the distance between the predicted location and the actual location exceeds a certain threshold, the target transmits a short message to the tracker to update its current location. The threshold is dynamically adjusted to maintain the location tracking accuracy and the number of short messages on the basis of the moving speed of the target. The experimental results show that LBD, indeed, outperforms other methods because it satisfactorily maintains the location tracking accuracy with relatively fewer messages.

A Tracking System Using Location Prediction and Dynamic Threshold for Minimizing SMS Delivery

Yuan-Cheng Lai,Jian-Wei Lin,Yi-Hsuan Yeh,Ching-Neng Lai,Hui-Chuan Weng 한국통신학회 2013 Journal of communications and networks Vol.15 No.1

In this paper, a novel method called location-based delivery (LBD), which combines the short message service (SMS) and global position system (GPS), is proposed, and further, a realistic system for tracking a target’s movement is developed. LBD reduces the number of short message transmissions while maintaining the location tracking accuracy within the acceptable range. The proposed approach, LBD, consists of three primary features: Short message format, location prediction, and dynamic threshold. The defined short message format is proprietary. Location prediction is performed by using the current location, moving speed, and bearing of the target to predict its next location. When the distance between the predicted location and the actual location exceeds a certain threshold, the target transmits a short message to the tracker to update its current location. The threshold is dynamically adjusted to maintain the location tracking accuracy and the number of shortmessages on the basis of themoving speed of the target. The experimental results show that LBD, indeed, outperforms other methods because it satisfactorily maintains the location tracking accuracy with relatively fewer messages.

The Accompanying Changes in Brain Structure of a Remitted Depression Patient with the Bupropion Treatment

Yi-Cheng Hou,Chien-Han Lai 대한정신약물학회 2015 CLINICAL PSYCHOPHARMACOLOGY AND NEUROSCIENCE Vol.13 No.3

The impacts from the bupropion on the brain structures have seldom been mentioned in the literature. The bupropion is a kind of antidepressant with dual action in the norepinephrine and dopamine receptors. Here we have a case to share about the bupropion-related effects in the brain structure.

Rapidly Self-Assembling Three-Dimensional Opal Photonic Crystals

Cheng Yi Wu,Ngoc Diep Lai,Chia Chen Hsu 한국물리학회 2008 THE JOURNAL OF THE KOREAN PHYSICAL SOCIETY Vol.52 No.5

We demonstrate a useful technique to rapidly self-assemble silica particles to form opal photonic crystals. Silica suspensions were first synthesized following the single-step Stober's method, with controllable particles diameters ranging from 200 to 800 nm. The suspensions were then injected into a cubic cell composed of two glass substrates and two controllable spacers. The self-assembly process was accelerated by heating the cell to an arbitrary temperature between 30℃ and 90℃. The opal particles were self-assembled into ordered structures within several minutes. The periodic structures were characterized by checking the scanning electron microscopy images and measuring the re ection spectra. The structure was quite uniform for very large areas and the number of layers could be controlled by using the formation temperature. The measured re ection spectra were in agreement with the simulation results obtained by using the transfer matrix method. The re ection spectra were blue shifted as the incident angle deviated from the normal direction, which could be justified simply by using a combination of Bragg formula and Snell's Law. We demonstrate a useful technique to rapidly self-assemble silica particles to form opal photonic crystals. Silica suspensions were first synthesized following the single-step Stober's method, with controllable particles diameters ranging from 200 to 800 nm. The suspensions were then injected into a cubic cell composed of two glass substrates and two controllable spacers. The self-assembly process was accelerated by heating the cell to an arbitrary temperature between 30℃ and 90℃. The opal particles were self-assembled into ordered structures within several minutes. The periodic structures were characterized by checking the scanning electron microscopy images and measuring the re ection spectra. The structure was quite uniform for very large areas and the number of layers could be controlled by using the formation temperature. The measured re ection spectra were in agreement with the simulation results obtained by using the transfer matrix method. The re ection spectra were blue shifted as the incident angle deviated from the normal direction, which could be justified simply by using a combination of Bragg formula and Snell's Law.

The Relief Effects of Ramelteon on Refractory Chronic Migraine: A Case Report

Yi-Cheng Hou1,Chien-Han Lai 대한정신약물학회 2016 CLINICAL PSYCHOPHARMACOLOGY AND NEUROSCIENCE Vol.14 No.4

The selective melatonin receptor agonism effect of ramelteon is useful for insomnia. Here we wanted to present a refractory chronic migraine case, who had significant improvements in migraine after using ramelteon. The possible mechanism for the ramelteon in the migraine relief might be related to melatonin effects.

A Triple-Band Voltage-Controlled Oscillator Using Two Shunt Right-Handed 4^th-Order Resonators

Lai, Wen-Cheng,Jang, Sheng-Lyang,Liu, Yi-You,Juang, Miin-Horng The Institute of Electronics and Information Engin 2016 Journal of semiconductor technology and science Vol.16 No.4

A triple-band (TB) oscillator was implemented in the TSMC $0.18{\mu}m$ 1P6M CMOS process, and it uses a cross-coupled nMOS pair and two shunt $4^{th}$ order LC resonators to form a $6^{th}$ order resonator with three resonant frequencies. The oscillator uses the varactors for band switching and frequency tuning. The core current and power consumption of the high (middle, low)- band core oscillator are 3.59(3.42, 3.4) mA and 2.4(2.29, 2.28) mW, respectively at the dc drain-source bias of 0.67V. The oscillator can generate differential signals in the frequency range of 8.04-8.68 GHz, 5.82-6.15 GHz, and 3.68-4.08 GHz. The die area of the triple-band oscillator is $0.835{\times}1.103mm^2$.

A Simple Partial Discharge Detector for Low-Voltage Rotating Electrical Machines

Cheng-Chi Tai,Ting-Cheng Huang,Ching-Chau Su,Chien-Yi Chen,Ju-Chu Hsieh,Yu-Shiun Lin,Chung-Tzong Wang,Jeng-Hung Lai 전력전자학회 2007 ICPE(ISPE)논문집 Vol.- No.-

A new, simple partial discharge (PD) detector for low-voltage rotating electrical machines using acoustical emission (AE) technique is dseveloped in this study. Common electric components were used in the detector, which reduces the cost of inspection, comparing with the traditional PD detection methods that use expensive equipment costing from tens of thousands to several millions dollars. Experimental results by resonant type AE sensors (150 ㎑) which utilize power line-cycle in a microcontroller unit (MCU) as reference to measure the PDs generated in a low-voltage motor are presented. The AE signals are then amplified by a pre-amplifier (30 ㎑ ~ 300 ㎑, 34 ㏈). Since the resonant frequency of the sensor is much lower than that of the electromagnetic (EM) interferences around the motor, the effects of noise is substantially reduced by this method. In the mean time, the use of 150-㎑ resonant type AE sensor also avoids the disturbance of mechanical vibration noise. According to the experiment results, the measurement system developed in this study can be used to detect the PDs’ AE signals correctly. The AE measurement scheme proposed in this study provides an effective, low-cost method for PD measurements.

Late-onset Quetiapine-related Tardive Dyskinesia Side Effects in a Patient with Psychotic Depression

Yi-Cheng Hou,Chien-Han Lai 대한정신약물학회 2014 CLINICAL PSYCHOPHARMACOLOGY AND NEUROSCIENCE Vol.12 No.2

The atypical antipsychotics were believed to induce less extrapyramidal syndrome, including tardive dyskinesia (TD). Since theintroduction of the quetiapine, it is also reported with less TD side effects. It even can relieve the symptoms of severe TD andreduce the risk of TD. The quetiapine’s low affinity and fast dissociation from postsynaptic dopamine D2 receptors should givethe least risk of producing the symptoms of TD. The quetiapine even can reduce the TD side effects related to clozapine, whichhas the lowest risk for TD. However, since the first case report of TD side effects related to quetiapine published on 1999,the safety of quetiapine in TD aspect has been questioned. Therefore, we want to share this case report, which was writtento describe the severe late-onset TD side effects after long-term use of quetiapine in a patient with psychotic depression. Thepatient had no significant findings after concurrent comprehensive neurological examinations, magnetic resonance imaging ofbrain and electroencephalogram since the onset of TD.

A Triple-Band Voltage-Controlled Oscillator Using Two Shunt Right-Handed 4<SUP>th</SUP> -Order Resonators

Wen-Cheng Lai,Sheng-Lyang Jang,Yi-You Liu,Miin-Horng Juang 대한전자공학회 2016 Journal of semiconductor technology and science Vol.16 No.4

A triple-band (TB) oscillator was implemented in the TSMC 0.18 ㎛ 1P6M CMOS process, and it uses a cross-coupled nMOS pair and two shunt 4<SUP>th</SUP> order LC resonators to form a 6<SUP>th</SUP> order resonator with three resonant frequencies. The oscillator uses the varactors for band switching and frequency tuning. The core current and power consumption of the high (middle, low)- band core oscillator are 3.59(3.42, 3.4) ㎃ and 2.4(2.29, 2.28) ㎽, respectively at the dc drain-source bias of 0.67V. The oscillator can generate differential signals in the frequency range of 8.04-8.68 ㎓, 5.82-6.15 ㎓, and 3.68-4.08 ㎓. The die area of the triple-band oscillator is 0.835 × 1.103 ㎟.

Artificial Intelligence in the Prediction of Gastrointestinal Stromal Tumors on Endoscopic Ultrasonography Images: Development, Validation and Comparison with Endosonographers

Lu Yi,Wu Jiachuan,Hu Minhui,Zhong Qinghua,Er Limian,Shi Huihui,Cheng Weihui,Chen Ke,Liu Yuan,Qiu Bingfeng,Xu Qiancheng,Lai Guangshun,Wang Yufeng,Luo Yuxuan,Mu Jinbao,Zhang Wenjie,Zhi Min,Sun Jiachen 거트앤리버 소화기연관학회협의회 2023 Gut and Liver Vol.17 No.6

Background/Aims: The accuracy of endosonographers in diagnosing gastric subepithelial lesions (SELs) using endoscopic ultrasonography (EUS) is influenced by experience and subjectivity. Artificial intelligence (AI) has achieved remarkable development in this field. This study aimed to develop an AI-based EUS diagnostic model for the diagnosis of SELs, and evaluated its efficacy with external validation. Methods: We developed the EUS-AI model with ResNeSt50 using EUS images from two hospitals to predict the histopathology of the gastric SELs originating from muscularis propria. The diagnostic performance of the model was also validated using EUS images obtained from four other hospitals. Results: A total of 2,057 images from 367 patients (375 SELs) were chosen to build the models, and 914 images from 106 patients (108 SELs) were chosen for external validation. The sensitivity, specificity, positive predictive value, negative predictive value, and accuracy of the model for differentiating gastrointestinal stromal tumors (GISTs) and non-GISTs in the external validation sets by images were 82.01%, 68.22%, 86.77%, 59.86%, and 78.12%, respectively. The sensitivity, specificity, positive predictive value, negative predictive value, and accuracy in the external validation set by tumors were 83.75%, 71.43%, 89.33%, 60.61%, and 80.56%, respectively. The EUS-AI model showed better performance (especially specificity) than some endosonographers. The model helped improve the sensitivity, specificity, and accuracy of certain endosonographers. Conclusions: We developed an EUS-AI model to classify gastric SELs originating from muscularis propria into GISTs and non-GISTs with good accuracy. The model may help improve the diagnostic performance of endosonographers. Further work is required to develop a multi-modal EUS-AI system.