A novel intrusion detection model for the CAN bus packet of in-vehicle network based on attention mechanism and autoencoder

The attacks on in-vehicle Controller Area Network(CAN)bus messages severely disrupt normal communication between vehicles.Therefore,researches on intrusion detection models for CAN have positive business value for vehicle security,and the intrusion detection technology for CAN bus messages can effectively protect the invehicle network from unlawful attacks.Previous machine learning-based models are unable to effectively identify intrusive abnormal messages due to their inherent shortcomings.Hence,to address the shortcomings of the previous machine learning-based intrusion detection technique,we propose a novel method using Attention Mechanism and AutoEncoder for Intrusion Detection(AMAEID).The AMAEID model first converts the raw hexadecimal message data into binary format to obtain better input.Then the AMAEID model encodes and decodes the binary message data using a multi-layer denoising autoencoder model to obtain a hidden feature representation that can represent the potential features behind the message data at a deeper level.Finally,the AMAEID model uses the attention mechanism and the fully connected layer network to infer whether the message is an abnormal message or not.The experimental results with three evaluation metrics on a real in-vehicle CAN bus message dataset outperform some traditional machine learning algorithms,demonstrating the effectiveness of the AMAEID model.

Recent Trends of In-Vehicle Time Sensitive Networking Technologies, Applications and Challenges

With the vigorous development of automobile industry,in-vehicle network is also constantly upgraded to meet data transmission requirements of emerging applications.The main transmission requirements are low latency and certainty especially for autonomous driving.Time sensitive networking(TSN)based on Ethernet gives a possible solution to these requirements.Previous surveys usually investigated TSN from a general perspective,which referred to TSN of various application fields.In this paper,we focus on the application of TSN to the in-vehicle networks.For in-vehicle networks,we discuss all related TSN standards specified by IEEE 802.1 work group up to now.We further overview and analyze recent literature on various aspects of TSN for automotive applications,including synchronization,resource reservation,scheduling,certainty,software and hardware.Application scenarios of TSN for in-vehicle networks are analyzed one by one.Since TSN of in-vehicle network is still at a very initial stage,this paper also gives insights on open issues,future research directions and possible solutions.

No evidence of predator odor avoidance in a North American bird community

Recent advances in our understanding of avian chemical communication have highlighted the importance of olfaction in many aspects of avian life.Prior studies investigating predator avoidance behaviors in response to predator odor cues have produced mixed results across species and contexts.Here we assess if a community of birds in eastern Pennsylvania displays avoidance behaviors towards predator odor cues in a natural foraging setting.We use clay caterpillars to measure foraging activity by birds in the presence of predator(bobcat)urine,non-predator(rabbit)urine,and water controls in two different environmental contexts(field vs.forest).Although we detected a weak trend for birds to forage less at predator urine-treated sites,we found no significant difference in avian foraging between the site types.We did find that foraging rates between environmental contexts changed significantly over the course of the experiment,with forest sites showing decreasing foraging rates and field sites showing increasing foraging rates.Our results reinforce the published literature that avoidance of predator odors by birds may not be ubiquitous across contexts and species.

Progress in Research on Insect Olfactory Perception of Habitat Odor Molecules

A highly sensitive olfactory system allows insects to precisely identify and position volatile compounds from different sources in their habitats,and plays a crucial role in their foraging,mating,and oviposition activities.During evolution,insects have successfully developed a large and complex olfactory system to adapt to heterogeneous environments,enabling the maintenance of inset population.A comprehensive examination of the olfactory system of insects may therefore yield novel insights into the development of innovative pest control and prevention strategies,as well as the study of olfactory mechanisms in vertebrates and even humans.This paper outlines the current state of research into the signal transduction mechanism by which insects perceive the olfactory molecules of their habitats.The aim of this review is to provide a reference point for future studies into the olfactory perception mechanism and its potential applications in pest management.

Volatile Solid and Bury Period Influence on Odorous Material Production in Simulating Landfill Treatment

Odor pollution in landfill area has attracted more social attention in China. It is very important to control the generation of odor pollutants in situ. Analyzing odorous materials production form buried waste, simulated columns of different volatile solid (VS) content and different buried period waste were designed. Gas compounds produced from the columns were collected and analyzed by comprehensive two-dimensional gas chromatography (GC × GC) method. It has remarkable relationship between VS content and concentrations of odorous material. When VS content more than 40%, the total amount of odorous compounds increases remarkably. It can be inferred that reduced VS content of original waste may effective decreasing odorous materials production in landfill area. The old rubbish produced more odorous compounds than that of fresh one in simulated columns.

Measurement of in-vehicle volatile organic compounds under static conditions

The types and quantities of volatile organic compounds （VOCs） inside vehicles have been determined in one new vehicle and two old vehicles under static conditions using the Thermodesorber-Gas Chromatograph/Mass Spectrometer （TD-GC/MS）. Air sampling and analysis was conducted under the requirement of USEPA Method TO-17. A room-size, environment test chamber was utilized to provide stable and accurate control of the required environmental conditions （temperature, humidity, horizontal and vertical airflow velocity, and background VOCs concentration）. Static vehicle testing demonstrated that although the amount of total volatile organic compounds （TVOC） detected within each vehicle was relatively distinct （4940 μg/m^3 in the new vehicle A, 1240 μg/m^3 in used vehicle B, and 132 μg/m^3 in used vehicle C）, toluene, xylene, some aromatic compounds, and various C7-C12 alkanes were among the predominant VOC species in all three vehicles tested. In addition, tetramethyl succinonitrile, possibly derived from foam cushions was detected in vehicle B. The types and quantities of VOCs varied considerably according to various kinds of factors, such as, vehicle age, vehicle model, temperature, air exchange rate, and environment airflow velocity. For example, if the airflow velocity increases from 0.1 m/s to 0.7 m/s, the vehicle＇s air exchange rate increases from 0.15 h^-1 to 0.67 h^-1, and in-vehicle TVOC concentration decreases from 1780 to 1201 μg/m^3.

Sensory-directed flavor analysis of key odorants compounds development of French fries and oils in the break-in,optimum and degrading frying stage

The flavor is a decisive sensory characteristic that determines the popularity of French fries(FFs).During high-oleic rapeseed oil(RO)frying,the flavor development of FFs showed three noticeable stages including break-in(3.5%-7.5%of total polar compounds(TPC)),optimum(7.5%-22.18%of TPC),and degrading stages(above 22.18%of TPC).Further,in order to distinguish the key aroma compounds in each stage,the FFs prepared in RO at TPC of 3.5%(FF4),14.5%(FF15),and 26.96%(FF27)and their relevant oils(RO4,RO15,RO27)were selected for sensory-directed analysis.The results revealed that the FF4 had low contents of(E,E)-2,4-decadienal(deep-fried odor)which also caused lower sensory score in FF4 sample.The higher contents of(E,E)-2,4-decadienal in FF15 induced its higher deep-fried odor.The FF27 had higher hexanoic acid(sweaty odor),heptanoic acid,nonanoic acid,benzene acetaldehyde(stale odor),and trans-4,5-epoxy-(E)-2-decenal(metallic odor)compared with FF4 and FF15,thus leading to the undesirable flavor of FF27.Moreover,the decrease of 2,5-dimethylpyrazine and 2-ethyl-6-methyl-pyrazine in FF27 induced the lower roasty flavor,which may also lead to the decline of the sensory score.Similarly,the higher contents of(E)-2-undecenal,hexanoic acid,heptanoic acid,and nonanoic acid in RO27 lead to increase its rancid score and thus lower the sensory score.

Characterization of the key aroma compounds in four varieties of pomegranate juice by gas chromatography-mass spectrometry(GC-MS),gas chromatography-olfactometry(GC-O),odor activity value(OAV),aroma recombination,and omission tests

P omegranate(Punica granatum L.)has attracted considerable attention in world markets due to its valuable nutrients and highly appreciated sensory properties.The aroma profiles of 4 varieties of pomegranate juice,including Dahongtian(DP),Jingpitian(JP),Luyudan(LP),and Tianhonngdan(TP),were investigated via gas chromatography-mass spectrometry(GC-MS)and gas chromatography-olfactometry(GC-O)analyses.A total of 43 volatile compounds were identified by using GC-MS.Among these compounds,16 were considered as potential aroma-active compounds as detected by GC-O.These compounds belonged to the classes of terpinenes,alcohols,and aldehydes.Eleven volatile compounds were defined as the main contributors to the overall aroma of pomegranate juice due to their high odor activity values(OAVs≥1).Aroma recombination and omission tests confirmed thatβ-myrcene,1-hexanol,and(Z)-3-hexen-1-ol were the key aroma compounds,and limonene,1-octen-3-ol,linalool,and hexanal were important aroma-active compounds in DP samples.

Chip Design for In-Vehicle System Transmitter

This paper presents embedded system design of the In-Vehicle System (IVS) for the European Union (EU) emergency call (eCall) system. The IVS transmitter modules are designed, developed and implemented on a field programmable gate array (FPGA) device. The modules are simulated, synthesized, and optimized to be loaded on a reconfigurable device as a system-on-chip (SoC) for the IVS electronic device. All the modules of the transmitter are designed as a single embedded module. The bench-top test is completed for testing and verification of the developed modules. The hardware architecture and interfaces are discussed. The IVS signal processing time is analyzed for multiple frequencies. A range of appropriate frequency and two hardware interfaces are proposed. A state-of-the-art FPGA design is employed as a first implementation approach for the IVS prototyping platform. This work is used as an initial step to implement all the modules of the IVS on a single SoC chip.

Hybrid In-Vehicle Background Noise Reduction for Robust Speech Recognition:The Possibilities of Next Generation 5G Data Networks

This pilot study focuses on employment of hybrid LMS-ICA system for in-vehicle background noise reduction.Modern vehicles are nowadays increasingly supporting voice commands,which are one of the pillars of autonomous and SMART vehicles.Robust speaker recognition for context-aware in-vehicle applications is limited to a certain extent by in-vehicle back-ground noise.This article presents the new concept of a hybrid system which is implemented as a virtual instrument.The highly modular concept of the virtual car used in combination with real recordings of various driving scenarios enables effective testing of the investigated methods of in-vehicle background noise reduction.The study also presents a unique concept of an adaptive system using intelligent clusters of distributed next generation 5G data networks,which allows the exchange of interference information and/or optimal hybrid algorithm settings between individual vehicles.On average,the unfiltered voice commands were successfully recognized in 29.34%of all scenarios,while the LMS reached up to 71.81%,and LMS-ICA hybrid improved the performance further to 73.03%.

20 ppm Anhydrous Ammonia Odor Agent Proposed for Hydrogen Fuel for Safe Detection of Leaks

Preferably 20 ppm anhydrous ammonia (NH3) is proposed to be added to hydrogen fuel (H) made from renewable energy sources (green hydrogen), so that H leaks may be easily detectable by smell, but not dangerously toxic. Including this odor agent, would allow H to be distributed safely in pipes, as required by law, and it would allow H to be safely stored, transported, and exported for sale, and widely commercialized. Further research is suggested to identify optimum pressure, temperature, and automated technique for injecting NH3 into H, and to chart the minimum concentration needed, as a function of temperature and humidity. An application to make hypersonic H burning aircraft safer for ground maintenance crews is proposed. An ability to make, store and distribute H, made from local sources of renewable energy, would reduce a need for fossil fuels, especially in poor, remote communities, where it could improve their economy by creating an export product for sale, while reducing pollution.

An Energy Efficient Routing Protocol for In-Vehicle Wireless Sensor Networks

In this paper, an advanced distributed energy-efficient clustering (ADEEC) protocol was proposed with the aim of balancing energy consumption across the nodes to achieve longer network lifetime for In-Vehicle Wireless Sensor Networks (IVWSNs). The algorithm changes the cluster head selection probability based on residual energy and location distribution of nodes. Then node associate with the cluster head with least communication cost and high residual energy. Simulation results show that ADEEC achieves longer stability period, network lifetime,and throughput than the other classical clustering algorithms.

Study on the Antibacterial and Deodorization Effect of 4,4-Dichloro-2-Hydroxydiphenyl Ether in Laundry Gel Beads

In the formulation development of laundry gel beads,4,4-dichloro-2-hydroxydiphenyl ether(HP-100)was used as a bacteriostatic agent,and the effect of HP-100 dosage on the bacteriostatic rate of laundry gel bead samples with different formulation systems was examined by the suspension quantification method;the long-lasting bacteriostatic performance of laundry gel bead samples added with HP-100 was investigated by the absorption method for evaluating the antimicrobial performance of textiles;the effect of HP-100 on the odor control of laundry gel bead samples was investigated by filling out surveys and questionnaires using the actual measurement method.Questionnaire was used to investigate the effect of HP-100 on odor control.The test results showed that the antibacterial rate of the two laundry gel samples against S.aureus increased with the increase of HP-100 dosage,and the antibacterial rate of Formula 1 reached 99.9%when the dosage of HP-100 was 0.3%;the antibacterial rate of cotton cloth washed with the laundry gel sample of Formula 1+0.3%HP-100 was more than 50%after 24 h,and still had the antibacterial effect;the antibacterial rate of cotton cloth washed with the sample of laundry gel with HP-100 was more than 50%after 24 h,and still had the antibacterial effect;the antibacterial effect of the sample with HP-100 was more than 50%after 24 h,and still had the antibacterial effect.The fabrics washed with HP-100 added laundry gel beads had better odor control than those treated with laundry gel beads without HP-100,and the addition of HP-100 to laundry gel beads could have antibacterial and deodorizing effects.

土臭素对淡水鱼品质的影响及控制策略研究进展

水产品味道鲜美,营养丰富,是人类摄取食物蛋白的重要来源。但以土腥味为代表的特殊异味在淡水养殖的鱼类中经常出现,不但影响水产品的风味,更降低了消费者的消费意愿,制约着水产品养殖行业的稳定发展。而科学控制和预防水产品中的土腥味是保障水产品质量的重要手段,对满足产业需求具有重要意义,仍需深入研究。本文综述了水产品中以土腥味为典型代表的特殊异味,探讨了以土臭素为代表的异味物质在水产品中造成土腥味的机理,并结合目前控制土腥味的常用方法,对未来水产品异味防控发展趋势进行展望,以期消除水产品中的异味物质,尤其是淡水养殖的水产品中存在的土腥味。

豆浆豆腥味形成机理及其去除方法的研究进展

豆浆是一种营养价值丰富且能防治高血脂、高血压、动脉硬化、缺铁性贫血等疾病的理想植物蛋白饮料,经常食用可以增进和保护人体健康,甚至可以作为预防新冠的优质食品。但是大豆中天然存在的豆腥味降低了消费者的接受度,同时也限制了豆制品进一步的研发。本文针对能对豆浆豆腥味有贡献的挥发性化合物(醛类、醇类、呋喃类、酮类)及导致其形成的反应途径进行了系统的综述,并进一步阐述了豆腥味对豆浆开发的影响。随后从物理、化学、生物、遮蔽四个方面探讨了豆浆去腥工艺的发展现状,对当前豆腥味研究中存在的问题以及未来的研究方向做了归纳与展望,以期为开发低豆腥或无豆腥味豆制品及推动大豆类产品消费提供理论依据。

减少猪场臭气生成的饲粮配制技术与养殖技术研究进展

随着养殖规模和集约化程度的不断提高,养殖场产生的臭气严重危害人畜健康和周边生态环境,臭气污染问题备受关注。解决猪场臭气污染的重要途径之一是减少臭气物质产生,而改进饲粮技术和养殖技术是减少猪场臭气物质生成的关键技术措施。本文综述了猪场臭气组成及产生途径、猪场中关键致臭物质及筛选方法、有效减少臭气生成的饲粮技术和养殖技术,旨在为加强猪场臭气方面的基础研究及减排技术的推广提供参考,进一步推进养猪业的高质量发展。

我国城市水源水库水质风险成因及对策

我国城市水源中约40%为湖泊或水库,且大部分为水库,因此水源水库的水质状况对我国城市安全极其关键。本文综述了我国水源水库水质问题研究进展,分析了22个代表性水源水库的周年水质状况。结果发现,当前我国城市水源水库水质风险类型主要是异味问题、藻类水华、铁锰超标、有机质偏高、营养盐超标等。引发水源水库水质问题的主要原因包括流域开发强度过大、库底淤积及内源释放、生态系统结构失衡、气候与水文异常变化等。针对上述主要问题,提出了构建在线水质监测预警体系、控制流域土地开发强度、构建面源拦截及流域净化系统、疏浚底泥、优化生态系统结构、实施应急曝气与控藻工程、完善流域生态保护法律法规等多种水源水库水质安全保障技术措施。鉴于水源水库水质及水生态对暴雨、高温热浪等极端气象响应敏感而复杂,在当前极端天气事件频发、强度不断增加的气候背景下,还应加强水库生态学基础研究,以深入理解水源水库水质对气候变化的响应机制,提高水库水安全保障科技支撑能力,满足我国城市高质量发展的水资源需求。

橘汁发酵过程中柑橘香气及其贡献化合物的分析

柑橘香气是柑橘果酒重要香气属性之一。为研究柑橘果酒加工过程中柑橘香气形成及影响机制,采用固相萃取法和正向硅胶色谱法结合气相色谱嗅闻仪、气相色谱质谱仪和感官评价对柑橘香气及其贡献化合物和异味物质在橘汁发酵中的变化趋势进行分析。结果表明,从橘汁中共鉴定出29种关键香气物质,主要为果香气、柑橘香气、花香气、清香气和乳脂香气化合物,其中月桂烯、庚醛、柠檬烯、γ-松油烯、癸醇、辛醛、辛醇、香茅醇和橙花醇被鉴定为柑橘香气重要贡献化合物。在橘汁发酵前4 d,柑橘香气强度呈显著增加的趋势,随后显著减弱。Pearson相关性分析显示,柑橘香气强度的变化与柠檬烯、γ-松油烯、辛醇和橙花醇含量增减密切相关(P<0.05)。伴随着柑橘香气化合物含量降低,异丁酸、丁酸、2-甲基丁酸、戊酸、己酸、庚酸和辛酸等酸败刺激性气味物质含量显著增加,这些异味物质对柑橘香气的形成具有显著的遮盖作用。研究结果可为今后柑橘果酒工艺改进及香气品质提升提供一定的理论依据。

不同种类道路沥青材料异味特征及析源分析

随着我国社会经济逐渐向绿色可持续转型,沥青路面铺筑过程中的异味污染成为不可忽视的环境问题。本研究针对八种不同的道路沥青材料使用过程中产生的挥发性物质,通过气相色谱-质谱联用仪(GC-MS)和气体检测仪进行定性与定量分析。在此基础上,结合异味阈值计算各物质异味活度值(OAV),通过异味活度值加和(SOAV)的方法对沥青异味进行分析,并对异味污染物中各组分及其异味贡献进行进一步的析源工作。研究结果表明,沥青挥发物的浓度与异味活度值加和并没有完全的正相关关系,胶粉改性沥青挥发物浓度及异味活度值加和相较于其他沥青均有显著提高。对八种不同种类道路沥青材料异味特征进行分析得出:六种组分对沥青异味的产生有贡献,其中,苯系物、醛类以及硫化氢对沥青异味的贡献较大,烯烃类以及酮类是胶粉改性沥青挥发物中特有的异味贡献组分。

高锰酸钾氧化饮用水中醛类嗅味物质的效果及动力学研究

我国北方呼和浩特市以黄河为水源的JH饮用水厂近年来冬季经常有醛类嗅味物质检出,常规处理工艺如混凝、沉淀等对其去除效果有限,需要对其进行其它处理工艺的探究.本文选择高锰酸钾对水厂检出频率和浓度均较高的反,反-2,4-庚二烯醛(tt24hept)、反-2-辛烯醛(t2oa)、反,反-2,4-辛二烯醛(tt24oda)、反,反-2,4-癸二烯醛(tt24dda)和β-环柠檬醛(β-cyclo)5种醛类嗅味物质进行氧化控制研究,探究其去除效果、氧化动力学和氧化机理.结果表明,20℃,pH=7时,2 mg·L^(-1)高锰酸钾氧化5种醛类嗅味物质30 min后,去除率达75%以上.根据动力学分析可知,高锰酸钾氧化5种醛类嗅味物质属于伪二级动力学过程,其伪二级反应速率常数分别为5.25×10^(4)、2.66×10^(4)、4.50×10^(4)、2.71×10^(4)、5.37×10^(3)L·mol^(-1)·min^(-1),醛类嗅味物质结构中含碳碳双键数目越多、含亚甲基数目越少,反应速率常数越大.同时,氧化过程会产生新生态二氧化锰,促进高锰酸钾对嗅味物质的控制效果.最后,通过水厂原水加标实验效果验证,理论反应方程可为饮用水厂应对醛类物质嗅味问题提供相应的理论依据并指导生产.