Application Strategies of Automatic Addressable Single-Lamp Control Technology in Tunnel Lighting

The article mainly studies the application strategy of automatic addressable single-lamp control technology in tunnel lighting.It encompasses an introduction to this technology,an analysis of the tunnel lighting system using automatic addressable single-lamp control technology,and outlines the main development direction for this technology in modern tunnel lighting.The aim is to offer insights that can inform the rational deployment of this technology,thereby enhancing the lighting control effectiveness in modern tunnels and meeting their specific lighting requirements more effectively.

Shared Cache Based on Content Addressable Memory in a Multi-Core Architecture

Modern shared-memory multi-core processors typically have shared Level 2(L2)or Level 3(L3)caches.Cache bottlenecks and replacement strategies are the main problems of such architectures,where multiple cores try to access the shared cache simultaneously.The main problem in improving memory performance is the shared cache architecture and cache replacement.This paper documents the implementation of a Dual-Port Content Addressable Memory(DPCAM)and a modified Near-Far Access Replacement Algorithm(NFRA),which was previously proposed as a shared L2 cache layer in a multi-core processor.Standard Performance Evaluation Corporation(SPEC)Central Processing Unit(CPU)2006 benchmark workloads are used to evaluate the benefit of the shared L2 cache layer.Results show improved performance of the multicore processor’s DPCAM and NFRA algorithms,corresponding to a higher number of concurrent accesses to shared memory.The new architecture significantly increases system throughput and records performance improvements of up to 8.7%on various types of SPEC 2006 benchmarks.The miss rate is also improved by about 13%,with some exceptions in the sphinx3 and bzip2 benchmarks.These results could open a new window for solving the long-standing problems with shared cache in multi-core processors.

Content Addressable Storage Optimization for Desktop Virtualization Based Disaster Backup Storage System

This paper proposes a content addres sable storage optimization method, VDeskCAS, for desktop virtualization storage based disaster backup storage system. The method implements a blocklevel storage optimization, by employing the algorithms of chunking image file into blocks, the blockffmger calculation and the block dedup li cation. A File system in Use Space （FUSE） based storage process for VDeskCAS is also introduced which optimizes current direct storage to suit our content addressable storage. An interface level modification makes our system easy to extend. Experiments on virtual desktop image files and normal files verify the effectiveness of our method and above 60% storage volume decrease is a chieved for Red Hat Enterprise Linux image files. Key words： disaster backup; desktop virtualization; storage optimization; content addressable storage

A NOVEL BITTER DETECTION BIOSENSOR BASED ON LIGHT ADDRESSABLE POTENTIOMETRIC SENSOR

This paper presents a novel biosensor for bitter substance detection on the basis of light addressable potentiometric sensor(LAPS).Taste receptor cells(TRCs)were used as sensitive elements,which can respond to different bitter stimuli with extreme high sensitivity and speci-ficity.TRCs were isolated from the taste buds of rats and cultured on the surface of LAPS chip.Due to the unique advantages such as single-cell recording,light addressable capability,and noninvasiveness,LAPS chip was used as secondary transducer to monitor the responses of TRCs by recording extracelluar potential changes.The results indicate LAPS chip can effectively record the responses of TRCs to different bitter substances used in this study in a real-time manner for a long-term.In addition,by performing principal component analysis on the LAPS recording data,different bitter substances tested can be successfully discriminated.It is suggested this TRCs
LAPS hybrid biosensor could be a valuable tool for bitter substance detection.With further improvement and novel design,it has great potentials to be applied in both basic research and practical applications related to bitter taste detection.

Dual-Port Content Addressable Memory for Cache Memory Applications

Multicore systems oftentimes use multiple levels of cache to bridge the gap between processor and memory speed.This paper presents a new design of a dedicated pipeline cache memory for multicore processors called dual port content addressable memory(DPCAM).In addition,it proposes a new replacement algorithm based on hardware which is called a near-far access replacement algorithm(NFRA)to reduce the cost overhead of the cache controller and improve the cache access latency.The experimental results indicated that the latency for write and read operations are significantly less in comparison with a set-associative cache memory.Moreover,it was shown that a latency of a read operation is nearly constant regardless of the size of DPCAM.However,an estimation of the power dissipation showed that DPCAM consumes about 7%greater than a set-associative cache memory of the same size.These results encourage for embedding DPCAM within the multicore processors as a small shared cache memory.

Content Addressable Memory Using Automatic Charge Balancing with Self-Control Mechanism and Master-Slave Match Line Design

Content Addressable Memory (CAM) is a type of memory used for high-speed search applications. Due to parallel comparison feature, the CAM memory leads to large power consumption which is caused by frequent pre-charge or discharge of match line. In this paper, CAM for automatic charge balancing with self-control mechanism is proposed to control the voltage swing of ML for reducing the power consumption of CAM. Another technique to reduce the power dissipation is to use MSML, it combines the master-slave architecture with charge minimization technique. Unlike the conventional design, only one match line (ML) is used, whereas in Master-Slave Match Line (MSML) one master ML and several slave MLs are used to reduce the power dissipation in CAM caused by match lines (MLs). Theoretically, the match line (ML) reduces the power consumption up to 50% which is independent of search and match case. The simulation results using Cadence tool of MSML show the reduced power consumption in CAM and modified CAM cell.

Reducing vulnerability to soft errors in sub-100 nm content addressable memory circuits

We first study the impacts of soft errors on various types of CAM for different feature sizes.After presenting a soft error immune CAM cell,SSB-RCAM,we propose two kinds of reliable CAM,DCF-RCAM and DCK-RCAM. In addition,we present an ignore mechanism to protect dual cell redundancy CAMs against soft errors.Experimental results indicate that the 11T-NOR CAM cell has an advantage in soft error immunity.Based on 11T-NOR,the proposed reliable CAMs reduce the SER by about 81%on average with acceptable overheads.The SER of dual cell redundancy CAMs can also be decreased using the ignore mechanism in specific applications.

A non-labeled DNA biosensor based on light addressable potentiometric sensor modified with TiO_2 thin film

Titanium dioxide (TiO2) thin film was deposited on the surface of the light addressable potentiometric sensor (LAPS) to modify the sensor surface for the non-labeled detection of DNA molecules. To evaluate the effect of ultraviolet (UV) treatment on the silanization level of TiO2 thin film by 3-aminopropyltriethoxysilane (APTS),fluorescein isothiocyanate (FITC) was used to label the amine group on the end of APTS immobilized onto the TiO2 thin film. We found that,with UV irradiation,the silanization level of the irradiated area of the TiO2 film was improved compared with the non-irradiated area under well-controlled conditions. This result indicates that TiO2 can act as a coating material on the biosensor surface to improve the effect and efficiency of the covalent immobilization of biomolecules on the sensor surface. The artificially synthesized probe DNA molecules were covalently linked onto the surface of TiO2 film. The hybridization of probe DNA and target DNA was monitored by the recording of I-V curves that shift along the voltage axis during the process of reaction. A significant LAPS signal can be detected at 10 μmol/L of target DNA sample.

An Active Deception Defense Model Based on Address Mutation and Fingerprint Camouflage

The static and predictable characteristics of cyber systems give attackers an asymmetric advantage in gathering useful information and launching attacks.To reverse this asymmetric advantage,a new defense idea,called Moving Target Defense(MTD),has been proposed to provide additional selectable measures to complement traditional defense.However,MTD is unable to defeat the sophisticated attacker with fingerprint tracking ability.To overcome this limitation,we go one step beyond and show that the combination of MTD and Deception-based Cyber Defense(DCD)can achieve higher performance than either of them.In particular,we first introduce and formalize a novel attacker model named Scan and Foothold Attack(SFA)based on cyber kill chain.Afterwards,we develop probabilistic models for SFA defenses to provide a deeper analysis of the theoretical effect under different defense strategies.These models quantify attack success probability and the probability that the attacker will be deceived under various conditions,such as the size of address space,and the number of hosts,attack analysis time.Finally,the experimental results show that the actual defense effect of each strategy almost perfectly follows its probabilistic model.Also,the defense strategy of combining address mutation and fingerprint camouflage can achieve a better defense effect than the single address mutation.

Distributed Application Addressing in 6G Network

To ensure the extreme performances of the new 6G services,applications will be deployed at deep edge,resulting in a serious challenge of distributed application addressing.This paper traces back the latest development of mobile network application addressing,analyzes two novel addressing methods in carrier network,and puts forward a 6G endogenous application addressing scheme by integrating some of their essence into the 6G network architecture,combining the new 6G capabilities of computing&network convergence,endogenous intelligence,and communication-sensing integration.This paper further illustrates how that the proposed method works in 6G networks and gives preliminary experimental verification.

Enhanced DDoS Detection Using Advanced Machine Learning and Ensemble Techniques in Software Defined Networking

Detecting sophisticated cyberattacks,mainly Distributed Denial of Service(DDoS)attacks,with unexpected patterns remains challenging in modern networks.Traditional detection systems often struggle to mitigate such attacks in conventional and software-defined networking(SDN)environments.While Machine Learning(ML)models can distinguish between benign and malicious traffic,their limited feature scope hinders the detection of new zero-day or low-rate DDoS attacks requiring frequent retraining.In this paper,we propose a novel DDoS detection framework that combines Machine Learning(ML)and Ensemble Learning(EL)techniques to improve DDoS attack detection and mitigation in SDN environments.Our model leverages the“DDoS SDN”dataset for training and evaluation and employs a dynamic feature selection mechanism that enhances detection accuracy by focusing on the most relevant features.This adaptive approach addresses the limitations of conventional ML models and provides more accurate detection of various DDoS attack scenarios.Our proposed ensemble model introduces an additional layer of detection,increasing reliability through the innovative application of ensemble techniques.The proposed solution significantly enhances the model’s ability to identify and respond to dynamic threats in SDNs.It provides a strong foundation for proactive DDoS detection and mitigation,enhancing network defenses against evolving threats.Our comprehensive runtime analysis of Simultaneous Multi-Threading(SMT)on identical configurations shows superior accuracy and efficiency,with significantly reduced computational time,making it ideal for real-time DDoS detection in dynamic,rapidly changing SDNs.Experimental results demonstrate that our model achieves outstanding performance,outperforming traditional algorithms with 99%accuracy using Random Forest(RF)and K-Nearest Neighbors(KNN)and 98%accuracy using XGBoost.

Silica nanoparticle with a single His-tag for addressable functionalization, reversible assembly, and recycling

For many biomedical and catalytic applications, such as encapsulation of proteins/enzymes in nanopartides （NPs）, it is preferable to have well-dispersed small NPs that are stable in solution and behave quasi-homogeneously. However, conventional liquid phase methods for small-NP synthesis and functionalization usually face great difficulties in separation/purification and recycling. In addition, controlling the orientation of proteins inside NPs is also a crucial issue to maximize the activity of the encapsulated proteins. Herein, we report a solid phase method to solve these problems. Using His-tagged proteins as cores, well-dispersed core-sheU silica NPs are facilely synthesized and functionalized in a column. The core His-tagged proteins are kept bound on the surface of the resIn beads in the column during the entire process, making the separation/purification of NPs and their precursors during the multiple-step process as simple as a few-minutes procedure of draining and washing the column. Each obtained silica NP has an adjustable eccentric core-shell structure with only one His-tag sticking out of the particle. This single His-tag on the surface of each NP not only makes it easy for addressable and stoichiometric functionalization of the NP but also provides an easy way to reversibly assemble NPs into dimers or be oriented on the surface of large particles. Notably, this solid phase approach also provides a versatile means to control the orientation of proteins inside NPs, and the His-tag makes it easy to recycle those well-dispersed small NPs.

Testing content addressable memories with physical fault models

Content addressable memory （CAM） is widely used and its tests mostly use functional fault models. However, functional fault models cannot describe some physical faults exactly. This paper introduces physical fault models for write-only CAM. Two test algorithms which can cover 100% targeted physical faults are also proposed. The algorithm for a CAM module with N-bit match output signal needs only 2N＋2L＋4 comparison operations and 5N writing operations, where N is the number of words and L is the word length. The algorithm for a HIT-signal-only CAM module uses 2N＋2L＋5 comparison operations and 8N writing operations. Compared to previous work, the proposed algorithms can test more physical faults with a few more operations. An experiment on a test chip shows the effectiveness and efficiency of the proposed physical fault models and algorithms.

Conformal Human–Machine Integration Using Highly Bending‑Insensitive,Unpixelated,and Waterproof Epidermal Electronics Toward Metaverse

Efficient and flexible interactions require precisely converting human intentions into computer-recognizable signals,which is critical to the breakthrough development of metaverse.Interactive electronics face common dilemmas,which realize highprecision and stable touch detection but are rigid,bulky,and thick or achieve high flexibility to wear but lose precision.Here,we construct highly bending-insensitive,unpixelated,and waterproof epidermal interfaces(BUW epidermal interfaces)and demonstrate their interactive applications of conformal human–machine integration.The BUW epidermal interface based on the addressable electrical contact structure exhibits high-precision and stable touch detection,high flexibility,rapid response time,excellent stability,and versatile“cut-and-paste”character.Regardless of whether being flat or bent,the BUW epidermal interface can be conformally attached to the human skin for real-time,comfortable,and unrestrained interactions.This research provides promising insight into the functional composite and structural design strategies for developing epidermal electronics,which offers a new technology route and may further broaden human–machine interactions toward metaverse.

A Scalable Interconnection Scheme in Many-Core Systems

Recent architectures of multi-core systems may have a relatively large number of cores that typically ranges from tens to hundreds;therefore called many-core systems.Such systems require an efficient interconnection network that tries to address two major problems.First,the overhead of power and area cost and its effect on scalability.Second,high access latency is caused by multiple cores’simultaneous accesses of the same shared module.This paper presents an interconnection scheme called N-conjugate Shuffle Clusters(NCSC)based on multi-core multicluster architecture to reduce the overhead of the just mentioned problems.NCSC eliminated the need for router devices and their complexity and hence reduced the power and area costs.It also resigned and distributed the shared caches across the interconnection network to increase the ability for simultaneous access and hence reduce the access latency.For intra-cluster communication,Multi-port Content Addressable Memory(MPCAM)is used.The experimental results using four clusters and four cores each indicated that the average access latency for a write process is 1.14785±0.04532 ns which is nearly equal to the latency of a write operation in MPCAM.Moreover,it was demonstrated that the average read latency within a cluster is 1.26226±0.090591 ns and around 1.92738±0.139588 ns for read access between cores from different clusters.

Comparative Evaluation of Data Mining Algorithms in Breast Cancer

Unchecked breast cell growth is one of the leading causes of death in women globally and is the cause of breast cancer.The only method to avoid breast cancer-related deaths is through early detection and treatment.The proper classification of malignancies is one of the most significant challenges in the medical industry.Due to their high precision and accuracy,machine learning techniques are extensively employed for identifying and classifying various forms of cancer.Several data mining algorithms were studied and implemented by the author of this review and compared them to the present parameters and accuracy of various algorithms for breast cancer diagnosis such that clinicians might use them to accurately detect cancer cells early on.This article introduces several techniques,including support vector machine(SVM),K star(K∗)classifier,Additive Regression(AR),Back Propagation Neural Network(BP),and Bagging.These algorithms are trained using a set of data that contains tumor parameters from breast cancer patients.Comparing the results,the author found that Support Vector Machine and Bagging had the highest precision and accuracy,respectively.Also,assess the number of studies that provide machine learning techniques for breast cancer detection.

CAM辅助的哈希表查找性能分析

现有大规模IP流处理方式中,哈希机制极具优势而在高速网络环境下被广泛采用,但其查找性能直接受限于访存次数。该文主要研究了CAM(Content Addressable Memory)辅助的哈希表(CAHT)查找性能。利用合理的近似,推导了单函数CAHT查找时平均访存次数的理论下限;结合单函数CAHT的分析结论给出了多函数CAHT查找时达到平均访存次数最小的条件。最后,使用实际网络数据验证了分析结果的有效性,为准确评估CAHT处理能力提供了必要的理论依据。

LETTERS

Your comments are welcome!Please feel free to contact us with your personal stories or vivid pictures!Address:24 Baiwanzhuang St.,Xicheng Dist.,Beijing,100037 E-mail:chinatodaynews@aliyun.com I am a professor at Renmin University in Beijing and former head of the Beijing office of Spanish news agency Agencia EFE.

Challenges and Countermeasures for Integrating the Protection of Environmental Rights into Actions for Addressing Climate Change

Climate change,which is the result of human activities,has wide-ranging impact.It poses a serious threat to human rights.Environmental rights are where the protection of the ecological environment and the development of human rights intersect.In view of the close relationship between the actions for addressing climate change and environmental rights,China should integrate the protection of environmental rights into the actions for addressing climate change,so as to achieve simultaneous development of both.In the process of coping with climate change,the right to climate stability that mainly pursues a“harmless”environment and the right to a more livable climate that pursues a“beautiful eco-environment”are specific manifestations of environmental rights and should be the priority of protection efforts.However,there are still some obstacles to achieving the coordinated development of the efforts to address climate change and the protection of environmental rights because traditional rights protection methods mainly give individuals subjective rights with the power to claim and are thus difficult to meet the needs of environmental rights protection in the context of climate change,and there are inherent value differences between responding to climate change and the realization of other human rights.Building a multi-level national obligation system to address climate change,giving full play to the role of courts in responding to climate change through moderate judicial activism,and coordinating the efforts to cope with climate change and the development of human rights under the guidance of a holistic system view are effective ways to overcome the aforementioned difficulties.

An Analysis of Chinese Address Terms From the Perspective of Speech Act Theory

Address terms are an important resource for conveying relationships.In daily interactions,the use of address terms is unavoidable.Therefore,the choose of address terms is particularly critical to make communicate smoothly with people.Previous scholars have studied address terms from a wide range of perspectives.But there is not much research on Chinese address terms based on speech act theory,which is put forward by John Langshaw Austin.By observing communicative conversations,several findings have been emerged from the analysis.They are professional title,affectionate address terms,and common address terms.These findings express the existential significance of address terms,which are the premise for people to maximize their illocutionary act when communicating.Correct understanding and grasp of the use of address terms is conductive to unfolding the communicative dialogue more smoothly.