Improving the Accuracy of Under-Fog Driving Assistance System

Driving in fog condition is dangerous. Fog causes poor visibility on roads leading to road traffic accident (RTA). RTA in Albaha is common because of its rough terrain, in addition to the climate that is mainly rainy and foggy. The rain season in Albaha region begins in October to February characterized by rainfall and fog. Many studies have reported the adverse effects of the rain on RTA which results in an increased rate of crashes. On the other hand, Albaha region is not supported by a proper intelligent transportation system and infrastructure. Thus, a Driver Assistance System (DAS) that requires minimum infrastructure is needed. A DAS under fog called No_Collision has been developed by a researcher in Albaha University. This paper discusses an implementation of adaptive Kalman Filter by utilizing Fuzzy logic system with the aim to improve the accuracy of position and velocity prediction of the No_Collision system. The experiment results show a promising adaptive system that reduces the error percentage of the prediction up to 56.58%.

Discussion on the mechanism of TCM treatment of climacteric syndrome based on TCM inheritance assistance system and network pharmacology

Background:To explore the law of traditional Chinese medicine in the treatment of climacteric syndrome,and to study the potential mechanism of traditional Chinese medicine therapy.Methods:For the relevant prescriptions collected from Chinese Journal Full-text Database,Wanfang medical network,PubMed and EMBASE were transferred to the traditional Chinese medicine inheritance assistant system(TCMISSV2.5)to conduct the nucleocentric drug group analysis.In this study,we used BATMAN-TCM(http://bionet.ncpsb.org/batman-tcm/)online analysis tool to analyze Therapeutic Target Database disease enrichment and Kyoto Gene and Genome Encyclopedia(KEGG)pathway enrichment,and Cytoscape(3.7.1)software was used to construct disease-target and KEGG pathway-target networks for visualization.Results:Among the 103 prescriptions,3 pairs of core drug combinations and 9 new prescriptions were selected by data mining.In the KEGG pathway of Zhimu(Anemarrhenae rhizoma)and Huangbo(Phellodendri Chinensis cortex),the most potential targets were found in the neural active ligand receptor interaction pathway.Conclusion:The compatibility of Anemarrhenae rhizoma and Phellodendri Chinensis cortex may play a role in the treatment of nervous system symptoms in patients with climacteric syndrome by interfering the neuroactive ligand receptor interaction signaling pathway.

The Realization Condition of the Construction of the Urban Vagrants＇ Accurate Assistance System

The rescue work of our country is facing with huge moral risk, the problem that the waste and the lack of resistance resources exist at the same time commands the realization of the accurate allocation of assistance resources. Basing on the analysis of the characteristics and hazards of this population, the writer puts forward the suggestions to construct the urban vagrants＇ accurate rescue system with the relevant suggestions： perfecting the relief systern, fulfilling the basic functions of the relief management station, setting up an environment of sound laws and regulations. Take the temporary solution as the way and the permanent cure as the goal, not only achieve the resolve of the matter on surface, but also the matter of essence, enhance the overall viability of the urban wandering population.

China's Legal Assistance System:Important Judicial Guarantee For Human Rights

On July 21. 2003. Chinese Premier Wen Jiabao signed the State Council Order No. 385, making public the Regulations of the People’s Republic of China on Legal Assistance. The Regulations has 31 articles in six chapters. The document came into effect on September 1, 2003. This is the first national law on legal assistance in China. The purpose of enacting the law is to ensure that citizens in financial difficulty could get necessary law service and the

FPGA-Based Traffic Sign Recognition for Advanced Driver Assistance Systems

This paper presents the implementation of an embedded automotive system that detects and recognizes traffic signs within a video stream. In addition, it discusses the recent advances in driver assistance technologies and highlights the safety motivations for smart in-car embedded systems. An algorithm is presented that processes RGB image data, extracts relevant pixels, filters the image, labels prospective traffic signs and evaluates them against template traffic sign images. A reconfigurable hardware system is described which uses the Virtex-5 Xilinx FPGA and hardware/software co-design tools in order to create an embedded processor and the necessary hardware IP peripherals. The implementation is shown to have robust performance results, both in terms of timing and accuracy.

The Status Quo of Disease Emergency Assistance System in China

This paper analyzes the operation mechanism of Disease Emergency Assistance system in China, and discusses what problem sexist on its workings. Results: The results of data analysis from 2015 to 2016 and field survey show that the pattern of Disease Emergency Assistance system has formed initially, and system plays the important role in solving the problem that some people are hard to require health emergency services. But, there are still some problems mainly including object identification, assistance in departments, operating rules in fund application and payment and fund using etc. Conclusions: using the network technique to improve the way of identifying object, elaborating laws and constructing information system.

Low Cost Driving Trainer Assistance System

The multiple tasks involved in real-time driving are challenging tasks for any new learner of driving. The proposed Low Cost Driving Trainer Assistance System (DTAS) helps the amateur drivers to learn the basic skills involved while driving a vehicle, in particular a 4 wheeler like a car. The proposed system not only helps the novice drivers to gain confidence but also saves money spent on fuels while learning. The proposed DTAS system uses a steering wheel, an accelerator pedal, a brake pedal, gear mechanism and virtual (simulated) road environment. We also monitor and record the vital system parameters during the training period and analyze the same. The proposed DTAS involves operations like taking a turn, braking, accelerating, using dashboard functions and changing gears.

Analysis on the compatibility rules and mechanism of formulae treatment for COVID-2019 based on the TCM inheritance assistance system and network pharmacology

Background:On December 8,2019,Wuhan City,Hubei Province,a new type of coronavirus disease 2019(COVID-2019)was firstly discovered,and COVID-2019 spread rapidly in China.The number of confirmed cases in various provinces and cities rose sharply in China.In clinical treatment,Chinese medicine treatment showed significant efficacy.Since the outbreak,the National Health Commission(NHS)of China has issued seven editions of the“Pneumonitis Diagnosis and Treatment Program for COVID-2019”,at the same time,most provincial health boards and the Chinese Medicine Administration had also released information on the prevention and control scheme of COVID-2019 by Chinese medicine.The purpose of this study is to explore the compatibility rules of the main drugs in the prescription and the potential mechanism on COVID-2019 pneumonia,in order to provide reference for clinical research and new drug development of COVID-2019.Methods:This article uses the TCM inheritance assistance system and network pharmacology BATMAN-TCM online analysis system to collect and summarize the national“Pneumonitis Diagnosis and Treatment Program for COVID-2019(trial version sixth)”and formulae for adult treatment from the TCM prevention program of 23 provinces and cities.Results:We found that the most formulae for the treatment of COVID-2019 were modified on the basis of Maxing Shigan decoction and the top 5 high-frequencyn drugs are Xingren(Armeniacae semen amarum),Mahuang(Ephedrae herba),Gancao(Glycyrrhizae radix et rhizoma),Shigao(Gypsum fibrosum),and Haungqin(Radix scutellariae).High frequency traditional Chinese medicines are mainly used for relieving the symptoms,clearing away heat,eliminating dampness,resolving phlegm,relieving cough and asthma,promoting water and dampness,and tonifying deficiency.Warm medicine and bitter medicine are the most frequently used drugs in four Qi attribute and five flavor attribute,respectively.Most of drugs are belong to lung,stomach and spleen channel.Mahuang(Ephedrae herba),Xingren(Armeniacae semen amarum),Gancao(Glycyrrhizae radix et rhizoma),Shigao(Gypsum fibrosum),Cangzhu(Atractylodis rhizama)and Huoxiang(Pogostemonis herba)are the core drugs for treating COVID-2019.The TTD disease enrichment,target and signal transduction pathways of the six drugs showed that pneumonia and asthma were most closely related to COVID-2019.And the inflammatory reaction-related pathways may be the main pathways through which these drugs function.Conclusions:The modified Maxing Shigan decoction is the main prescription for the treatment of COVID-2019.The Xingren(Armeniacae semen amarum),Gancao(Glycyrrhizae radix et rhizoma),Shigao(Gypsum fibrosum),Cangzhu(Atractylodis rhizama)and Huoxiang(Pogostemonis herba)have certain theoretical and experimental basis for the treatment of COVID-2019 through network pharmacology analysis,but further experiments are needed to verify the effects.

Forty-Year Development of Social Assistance System in China: Review and Outlook

This paper reviews the forty-year development of the social assistance system in China and discovers that under the leadership of the Chinese government, the basic framework of the social assistance system has taken shape and become a proud image of China’s social security system’s reform and development. The development of the social assistance system in China demonstrates the bottom-line thinking of state governance and its multi-tiered, cross-sector and community-focused characteristics. At its present stage of growth the social assistance system is actively developing multiple means of assistance and will be based on the objective of “supporting the vulnerable.”

Image-Based Methods for Interaction with Head-Worn Worker-Assistance Systems

In this paper, a mobile assistance-system is described which supports users in performing manual working tasks in the context of assembling complex products. The assistance system contains a head-worn display for the visualization of information relevant for the workflow as well as a video camera to acquire the scene. This paper is focused on the interaction of the user with this system and describes work in progress and initial results from an industrial application scenario. We present image-based methods for robust recognition of static and dynamic hand gestures in realtime. These methods are used for an intuitive interaction with the assistance-system. The segmentation of the hand based on color information builds the basis of feature extraction for static and dynamic gestures. For the static gestures, the activation of particular sensitive regions in the camera image by the user’s hand is used for interaction. An HMM classifier is used to extract dynamic gestures depending on motion parameters determined based on the optical flow in the camera image.

Evaluating effectiveness and acceptance of advanced driving assistance systems using field operational test

A large number of reported road collisions are caused by driver inattention,and inappropriate driving behaviour.This study investigated the effectiveness and acceptance of Advanced Driving Assistance Systems(ADAS)for driver age groups,gender,occupation(professional/non-professional),and road type(expressway,urban roads,and semi-urban road)based on the Field Operational Test(FOT).The ADAS is provided with assistance features,such as Lane Departure Warning(LDW),Forward Collision Warning(FCW),and Traffic Speed Recognition Warning(TSRW).In total,the FOT involved 30 participants who drove the test vehicle twice(once in the stealth phase and once in the active phase).The FOT included three sections:expressway(20.60 km),urban road(7.2 km),and semi-urban road(13.35 km).A questionnaire was used to determine user acceptance of the ADAS technology.In addition,parametric and non-parametric statistical tests were carried out to determine ADAS's significant effects.The FOT results showed statistically significant differences in the LDW’s acceptance and effectiveness for gender,age group,occupation,and road type before and after exposure to ADAS.Male participants showed significant lateral behavior improvement compared to female participants.Old-aged drivers scored the highest acceptance score for the technology compared to middle and young-aged drivers.The subjective ratings ranked the assistance features in descending order as TSRW,LDW,and FCW.This study’s findings can support policy development and induce trust in the public for the technology adoption to improve road traffic safety.

Approach for improved development of advanced driver assistance systems for future smart mobility concepts

To use the benefits of Advanced Driver Assistance Systems(ADAS)-Tests in simulation and reality a new approach for using Augmented Reality(AR)in an automotive vehicle for testing ADAS is presented in this paper.Our procedure provides a link between simulation and reality and should enable a faster development process for future increasingly complex ADAS tests and future mobility solutions.Test fields for ADAS offer a small number of orientation points.Furthermore,these must be detected and processed at high vehicle speeds.That requires high computational power both for developing our method and its subsequent use in testing.Using image segmentation(IS),artificial intelligence(AI)for object recognition,and visual simultaneous localization and mapping(vSLAM),we aim to create a three-dimensional model with accurate information about the test site.It is expected that using AI and IS will significantly improve performance as computational speed and accuracy for AR applications in automobiles.

Assistive Robotics for Upper Limb Physical Rehabilitation:A Systematic Review and Future Prospects

Physical assistive robotics are oriented to support and improve functional capacities of people.In physical rehabilitation,robots are indeed useful for functional recovery of affected limb.However,there are still open questions related to technological aspects.This work presents a systematic review of upper limb rehabilitation robotics in order to analyze and establish technological challenges and future directions in this area.A bibliometric analysis was performed for the systematic literature review.Literature from the last six years,conducted between August 2020 and May 2021,was reviewed.The methodology for the literature search and a bibliometric analysis of the metadata are presented.After a preliminary search resulted in 820 articles,a total of 66 articles were included.A concurrency network and bibliographic analysis were provided.And an analysis of occurrences,taxonomy,and rehabilitation robotics reported in the literature is presented.This review aims to provide to the scientific community an overview of the state of the art in assistive robotics for upper limb physical rehabilitation.The literature analysis allows access to a gap of unexplored options to define the technological prospects applied to upper limb physical rehabilitation robotics.

Hierarchical Privacy Protection Model in Advanced Metering Infrastructure Based on Cloud and Fog Assistance

The Advanced Metering Infrastructure(AMI),as a crucial subsystem in the smart grid,is responsible for measuring user electricity consumption and plays a vital role in communication between providers and consumers.However,with the advancement of information and communication technology,new security and privacy challenges have emerged for AMI.To address these challenges and enhance the security and privacy of user data in the smart grid,a Hierarchical Privacy Protection Model in Advanced Metering Infrastructure based on Cloud and Fog Assistance(HPPM-AMICFA)is proposed in this paper.The proposed model integrates cloud and fog computing with hierarchical threshold encryption,offering a flexible and efficient privacy protection solution that significantly enhances data security in the smart grid.The methodology involves setting user protection levels by processing missing data and utilizing fuzzy comprehensive analysis to evaluate user importance,thereby assigning appropriate protection levels.Furthermore,a hierarchical threshold encryption algorithm is developed to provide differentiated protection strategies for fog nodes based on user IDs,ensuring secure aggregation and encryption of user data.Experimental results demonstrate that HPPM-AMICFA effectively resists various attack strategies while minimizing time costs,thereby safeguarding user data in the smart grid.

Thoughts on Pairing Assistance to Tibet for Promoting Agricultural High-quality Development in Southern Tibet from the Perspective of Agricultural Power

In the new era,there is an urgent need to further promote pairing assistance to Tibet,promote the simultaneous construction of a strong agriculture in Tibet and the China's Mainland,and compose a Chinese-style modernization.Southern Tibet,located in the southeastern part of the Tibet Autonomous Region,includes Shannan City and Nyingchi City,is a region assisted by four provincial partners including Hubei Province.This paper introduces the agricultural environment in southern Tibet,studies its agricultural characteristics,and analyzes the main issues of its pairing assistance.Taking forging the strong consciousness of the Chinese national community as the main line,the paper explores strategies for promoting agricultural high-quality development in southern Tibet through pairing assistance to Tibet from the perspective of agricultural power,and proposes some strategies,such as inheriting agricultural cultural heritage,promoting the upgrading of modern seed industry,enhancing the characteristic advantages of highland barley(naked barley)and animal husbandry industries,and developing edible fungi and cold water fish industries.

Paired Assistance:Policy Rationale and Economic Performance as Illustrated by Xizang and Xinjiang

This study highlights the changing priorities of China’s paired assistance throughout the past decades,as well as its theoretical implications and economic growth effects for recipient regions.Using panel data from 32 prefecture-level cities from 1990 to 2020,this study uses the multiperiod difference-in-differences approach to examine how paired assistance has contributed to economic growth in Xizang Autonomous Region and Xinjiang Uygur Autonomous Region.The findings indicate that,first,the implementation of the paired assistance policy has boosted economic growth in Xizang and Xinjiang.Second,paired assistance has stimulated economic growth in recipient communities by improving infrastructure.Third,paired assistance has contributed to economic growth in recipient communities by providing improved public services such as education and healthcare.Improvements to public services have a relatively smaller indirect effect in short term than infrastructure development on economic growth.Yet both education and healthcare are crucial to people’s quality of life in recipient communities.This paper has refined and broadened research on the effects of paired assistance,providing preference for future policymaking.

On the Rule of Law Path for Inclusive Education to Empower Education Assistance for Persons with Disabilities

Inclusive education is the mainstream of developing education for persons with disabilities worldwide.It advocates the recognition and protection of the right of persons with disabilities to receive inclusive education in mainstream schools.From the perspective of inclusive education,the educational assistance system for persons with disabilities represents a theoretical innovation in traditional educational support methods,playing a crucial role in integrating persons with disabilities into society,reversing their disadvantaged status,and maintaining educational equity.At present,China's legal system for inclusive education assistance for persons with disabilities needs improvement,and faces several obstacles,including conceptual“limited capacity”,“monotonous”subjects,“crowding-out”obstacles and supervision“absence”obstacles.It is urgent to begin with the transformation of the rule of law concept,clarify the legal positioning of multiple responsibility subjects,achieve mutual reinforcement of education law and education aid legislation,establish a supervision system for inclusive education assistance,and improve the legal framework for educational assistance for persons with disabilities.This will ensure that persons with disabilities can successfully realize their right to education,share in the benefits of social development,and ultimately contribute to achieving common prosperity.

Evaluating Methods of Visual Assistance for Workers to Improve Quality and Usability in Individualized Kitchen Cabinet Assembly

In times of digitalisation, visual assistance systems in assembly are increasingly important. The design of these assembly systems needs to be highly complex to meet the requirements. Due to the increasing number of variants in production processes, as well as shorter innovation and product life cycles, assistance systems should improve quality and reduce complexity of assembly processes. However, many large kitchen manufacturers still assemble kitchen cabinets manually, due to the high variety of components, such as rails and fittings. This paper focuses on the analysis and evaluation of virtual assistance systems to improve quality and usability in individualised kitchen cabinet assembly processes at a large German manufacturer. A solution is identified and detailed.

Modeling commercial vehicle drivers’ acceptance of advanced driving assistance system (ADAS)

Purpose–Advanced driving assistance system(ADAS)has been applied in commercial vehicles.This paper aims to evaluate the influence factors of commercial vehicle drivers’acceptance on ADAS and explore the characteristics of each key factors.Two most widely used functions,forward collision warning(FCW)and lane departure warning(LDW),were considered in this paper.Design/methodology/approach–A random forests algorithm was applied to evaluate the influence factors of commercial drivers’acceptance.ADAS data of 24 commercial vehicles were recorded from 1 November to 21 December 2018,in Jiangsu province.Respond or not was set as dependent variables,while six influence factors were considered.Findings–The acceptance rate for FCW and LDW systems was 69.52%and 38.76%,respectively.The accuracy of random forests model for FCW and LDW systems is 0.816 and 0.820,respectively.For FCW system,vehicle speed,duration time and warning hour are three key factors.Drivers prefer to respond in a short duration during daytime and low vehicle speed.While for LDW system,duration time,vehicle speed and driver age are three key factors.Older drivers have higher respond probability under higher vehicle speed,and the respond time is longer than FCW system.Originality/value–Few research studies have focused on the attitudes of commercial vehicle drivers,though commercial vehicle accidents were proved to be more severe than passenger vehicles.The results of this study can help researchers to better understand the behavior of commercial vehicle drivers and make corresponding recommendations for ADAS of commercial vehicles.

Subjective assessment for an advanced driver assistance system:a case study in China

Purpose–This study aims to propose a novel subjective assessment(SA)method for level 2 or level 21 advanced driver assistance system(ADAS)with a customized case study in China.Design/methodology/approach–The proposed SA method contains six dimensions,including perception,driveability and stability,riding comfort,human–machine interaction,driver workload and trustworthiness and exceptional operating case,respectively.And each dimension subordinates several subsections,which describe the corresponding details under this dimension.Findings–Based on the proposed SA,a case study in China is conducted.Six drivers with different driving experiences are invited to give their subjective ratings for each subsection according to a predefined rating standard.The rating results show that the ADAS from Tesla outperforms the upcoming electric vehicle in most cases.Originality/value–The proposed SA method is beneficial for the original equipment manufacturers developing related technologies in the future.