Reviewerly/exHarmony huggingface dataset:
PairingNet: A Multi-Frame Based Vehicle Trajectory Prediction Deep Learning Network

The traffic infrastructure of a city requires requires evaluation and improvement through a large amount of data analysis. The construction and laborious work of traditional methods make computer vision flourish in traffic analysis. Among different computer vision technologies for intelligent transportation system, one of the most important algorithms is multiple object tracking (MOT). At present, MOT used in traffic analysis has several shortcomings, such as lack of the output of vehicle speed and movement direction, and the consideration of single factor in trajectory tracking. These limitations have affected the results of traffic analysis. This research proposes an end-to-end deep learning network, called PairingNet. In addition to retaining the function and accuracy of the original detection network, PairingNet integrates the calculation of vehicle trajectory into the network through the feature fusion of consecutive images, which is introduced to predict the movement direction and speed of the vehicle. These additional features can be used to better track the trajectories of vehicles. In addition, a pipeline is designed to reduce the loading latency incurred by using the consecutive frames as the input for PairingNet. The experiment results indicate that the vehicle identification of PairingNet reaches 96% accuracy, surpassing the original YOLOv3 as the backbone structure, and reaches a near 100% accuracy rate in the predicted vehicle position. Moreover, with the pipeline process, the inference speed of PairingNet is very close to the original YOLOv3. In MOT results, the MOTA of PairingNet also has a high performance of 91%.
Planning and Scope

All projects require some degree of planning, depending on the size and complexity of the project. At its core, a project is about managing an abundance of small decisions and dependencies. This requires high-quality communication on all levels. And just as a physical model can help us visualize a new building, creating a working prototype is also useful in software development. This prototype gives users and stakeholders a good idea of how the product will look. Modern software methodologies usually create screen mockups rather than prototypes—these mockups are easier to produce and give a good visual impression.
Earth's early oxygen may be a result of earthquakes

Vast, mysterious currents can drag huge amounts of silt into the depths, reshaping the sea floor. We are finally getting to grips with these mighty marine movements, writes Kate Ravilious
Quantum computers may have found a practical use

For artificial intelligence to become truly useful, we need it to know what we're thinking. But how, asks Edd Gent
Applications of digital micromirror devices in photonic neural networks

Photonic neural networks have been developed as a hardware platform to accelerate machine-learning inference. Digital micromirror devices (DMDs) have been playing a critical role in developing a variety of photonic neural networks for their ability to manipulate millions of optical spatial modes in a 2D plane at >10 kHz frame rate. DMDs have not only enabled high-throughput machine-learning inference but also made hardware-in-the-loop training possible with photonic neural networks. In this talk, we will review the functions of DMDs in a plethora of photonic-neural-network architectures and discuss how MEMS-based technologies can enable novel photonic neural networks in future.
Retraced Lucid Multi-dimensional Chinese Logic System behind Chinese Medicine

Chinese Logic system is not universally accepted. However, the ancient tacit knowledge behind the logic system permeated the culture and promoted numerous impactful inventions throughout the history. Traditional Chinese medicine with its effectiveness should also have stemmed out from such logic system. This paper aims to rearticulate the underlying lucid multi-dimensional logic system, which faded in obscurity only because of time-out loss of the mid-right concept. Retracing this past tacit but important concept could uncover a multi-dimensional system over a point relating to all matters while capturing the central core of the matter. The seemingly unmanageable multi-dimensional logic was strengthened by verification processes which affirmed its further extensions, and made up the language of the people, the concepts of Yin-Yang, and the development of extensions of Ba Gua derivatives, which furthered the interpretation of the space-time properties and Chinese medicine.
An Improved Principal Component Analysis (PCA) Face Recognition Technique using Modular Approach

Face recognition is an important application in computer vision and biometrics.In this paper, we propose a novel approach to face recognition based on modular PCA (Principal Component Analysis).The proposed method improves the accuracy and efficiency of face recognition by dividing the face image into multiple overlapping sub-blocks, and then applying PCA to each sub-block independently.The resulting sub-block eigenfaces are then combined to form a composite face feature vector, which is used for face identification.Experimental results on several standard face recognition datasets demonstrate that our approach outperforms other state-ofthe-art methods in terms of recognition accuracy and computational efficiency.The proposed method is also shown to be robust to variations in lighting, facial expressions, and occlusion.
Multimodal Affective Information Fusion

The multimodal information can be assimilated at three levels 1) early fusion, 2) intermediate fusion, and 3) late fusion. Early fusion can be performed at the sensor or signal level. Intermediate fusion can be at the feature level, and late fusion may be done at the decision level. Apart from that, some more fusion techniques are rank-based, adaptive, etc. This chapter provides an extensive review of studies based on fusion and reported noticeable work herewith. Eventually, we discussed the challenges associated with multimodal fusion.
Multiplication Groups of Quotient Divisible Abelian Groups

A multiplication on an Abelian group [Formula: see text] is a homomorphism [Formula: see text]. The set [Formula: see text] of all multiplications on an Abelian group [Formula: see text] itself is an Abelian group with respect to addition; this group is called the multiplication group of [Formula: see text]. In the paper, the class [Formula: see text] of quotient divisible Abelian groups of rank 1 is considered. The group [Formula: see text] is described for [Formula: see text]. In the group [Formula: see text], multiplications defining comparable rings on [Formula: see text] are described for any group [Formula: see text]. The isomorphism problem is solved in [Formula: see text]: multiplications defining isomorphic rings on [Formula: see text] are described for any [Formula: see text].
AN ANALYSIS OF THE THE MAIN FACTOR WHICH SUPPORTING THE CONTENTS OF THE ENGLISH TEXTBOOK BY KEMENDIKBUD

This research was conducted to determine whether the content of the textbook has the same supporting factors to support learning. The textbook is an English textbook used by high school students in the tenth grade. This study aims to find the main factors supporting the content of English textbooks. The methodology used in this study is qualitative research and uses documents as analysis material. In addition, researchers used checklist evaluation to collect data. This study used 10 criteria. From the results of the study, it can be seen that out of 10 criteria, 9 were met. The results of the analysis show that 90% of main factors are functioning properly. The good category was obtained because the total score of the percentage was more than 82.64%. There are 10% or 1 criterion that does not meet the criteria related to encourages seeking further information. From the results of this study, researchers recommend conducting other analysis related to the content of the textbook by conducting an analysis of the validity of the textbook. An analysis that can be done in english textbooks to find out the quality of textbooks.
Crossover Service Pattern: Modeling and Computing

A service pattern is the overall description of a service-coordination mechanism, participant interaction pattern, and data/resource/value-allocation scenario in a business service. For crossover services, service patterns are service-delivery methods that support the realization of business models. Service patterns describe how service enterprises provide services in the industrial chain and the methods of cross-domain participant collaboration, including value acquisition, resource allocation, data transmission, activity organization, and stakeholder collaboration. In short, a service pattern is the implementation of the service business model in the context of the service industry. Crossover service pattern modeling refers to the description of the participants, workflows, data, resources, and value in crossover services. Thus, service pattern computation concerns the simulation, evaluation, and deep convergence of multiple patterns to analyze and improve service efficiency, reduce costs, and increase the competitiveness of crossover service providers. Service patterns are usually the most important parts of enterprise service implementation as well as key factors that determine the competitiveness of enterprises and the development of the MSI. To combine resources and services from different fields, achieve upstream and downstream integration, and clarify the value flow, the effective and comprehensive service pattern computation theory and methodology are necessary.
Design, Create and Evaluate: Practical Engineer's Education via Repetitive Cycles of CAD-CAM-CAE

The ability to achieve the optimum design based on specifications is a skill that should be trained in mechanical engineering education. We have developed an engineering educational scheme for designing, creating, and evaluating via the spontaneous participation of students themselves. The most significant feature is to provide experiences such as machining for creating “real (not virtual)” parts to assemble and form real products on one’s hand. Achievement of this goal needs to encourage students to repeat the design cycle to avoid any mistakes in the final products. In the recent case, we took a smartphone stand as the targeted subject and the instructors provided the specifications to third-year undergraduate students at Department of Mechanical Engineering, Toyohashi University of Technology. Students designed and analyzed with 3D CAD and created component drawings. Through the analyses (e.g. evaluating stress distribution and entire shape deformation) of the suggested design, they evaluated the feasibility of their design. If not satisfied, they were encouraged to modify in 3D-CAD and then analyze again. Repeating this cycle, students learned the process of optimization of the design, which is often experienced in the real manufacturing process. Once the shape of the parts was finalized, students transferred their CAD design to a laser cutter to cut cardboard, then assembled all to have the final product. The assembled product was then evaluated through the application of the load (for instance) to check whether the product fulfills the specifications. If not, they shall consider an alternative way and propose the idea for the second round of revision,. Such ideas were summarized in their reports to submit to the instructors on the final day of the class. Entire achievements of designing, creating, and evaluating were graded with oral presentations and submitted materials like reports. Adopting the repetitive cycle learning method as above, the students developed their CAD, CAM, and CAE skills while improving their ability to achieve the optimum design based on specifications.
Industrial Reconstruction Projects and Human Resource Development Issues in Fukushima Prefecture

The current situation and issues of reconstruction and/or revitalization in the damaged region after the Great East Japan Earthquake Disaster at 2011.03.11 and the accident of Fukushima Daiichi NPS are presented in the aspect of human developments for the future in this report. The Fukushima Innovation Coast Initiative aims to build a new regional industrial base in order to restore industry and employment in the eight towns and villages of Futaba district, Fukushima Prefecture, and surrounding areas, where were affected by the large earthquake disaster and the 1F NPS plant accident. I would like to introduce the progress of the INNOVATE initiative and the "Reconstruction Knowledge" project at this point, as well as the challenges of reconstruction and creation in the local community. The necessity and difficulty of employing professional human resources in the participating companies, as well as the challenges of fostering industrial human resources, and the role of mechanical engineering in meeting these needs will be discussed.
An approach which encourages the next generation that will bear the future of the region to be interested in the science and the engineering field

It is expected to aim for a sustainable society only in regions where the birthrate is declining and the population is aging, but in the current situation of declining industrial vitality in the region, the formation of a sustainable society and the development of human resources are important issues. Among them, it is important to get the generation who will bear the future of the region interested in the field of science and engineering from the viewpoint of solving social issues, and we will introduce examples of this approach conducted in Akita Prefecture.
Consideration of 40T press machine made by Aida Iron Works made in 1937

Since the early 1930s, demand for mass-produced machine tools has increased in Japan with the development of the aircraft and automobile industries. Bat, the domestic technology of machine tools was immature, and most of the precision machines and press machines were imported products. However, it is also a fact that some private companies have been moving to promote domestic production in anticipation of the future. For example, Kiichiro Toyoda, the founder of Toyota Motor Corporation, ordered and introduced various machines from domestic manufacturers at the same time as the construction of a new factory in 1937. This time, one of them, a 40T press machine manufactured by Aida Iron Works was disassembled and investigated. At that time, Japan was at the stage of imitating machine tools made in the US, and the quality of iron was inferior to that of the US. Therefore, instead of simply imitating, we can see some ingenuity in how to make a good machine after understanding Japan's technological capabilities. It can be said that the domestic press machines at that time were in the stage of searching for the "independence period" from the "imitation period".
MEMS reservoir computing using circularly coupled nonlinear oscillators with modulation by integrated thermal actuator

As the demand for machine learning and data analysis increases with the global proliferation of online services and AI, its enormous computational load is becoming a challenge. This research aims to realize reservoir computing (RC) technology that enables in-situ sequential analysis of speech and other signal waveforms obtained from microphones at high speed with low computational cost by utilizing the nonlinear characteristics of Micro Electro-Mechanical Systems (MEMS) oscillators. Here, we propose a MEMS-RC that electrically connects multiple oscillators with a modulation mechanism using a thermal expansion actuator, and the strength of the coupled operation can be easily adjusted. we optimized the driving conditions for one and two coupled oscillators and compared their performance and found that the learning performance was improved with the two-coupled oscillators. Furthermore, combinations of coupling strengths that improve the learning performance of the two resonators were plotted on a heat map to identify regions of consistently high performance.
Anonymity in Attribute-Based Access Control: Framework and Metric

Anonymous access is an effective method for preserving privacy in access control. This study assumes that anonymous access control requires both frameworks and policies. Numerous solutions have been proposed for anonymous access at the framework level. In this study, these solutions are analyzed and quantified using a unified attribute-based access control (ABAC) anonymous access reference framework. Anonymous access at the framework level is the first line of defense, and inappropriate policies may undermine subject anonymity. An anonymity metric is proposed at the policy level to prevent authorization authority from re-identification using specific attributes and policies. The anonymity metric evaluates the risk of re-identifying a subject due to inappropriate access requests, as well as subject attribute assignment schemes and policies. This study is the first to focus on anonymity at the policy level in ABAC. Furthermore, a formal definition of anonymity suitable for ABAC is proposed. The feasibility of the proposed anonymity metric is verified through simulations.
Stochastic Gradient Perturbation: An Implicit Regularizer for Person Re-Identification

Generalization of the person re-identification (ReID) model plays an important role in practical application, and we discuss a simple yet effective regularizer to improve it inspired by Adversarial Training (AT). AT has been indicated as an advanced regularizer due to its adversarial mechanism, ability to mine hard samples, and nature of data augmentation. However, serving as an augmentation-based regularizer, AT shows low diversity of the perturbation, excessive computational cost, and the optimization dilemma between adversarial robustness and accuracy for ReID task, and is thus suboptimal. To tackle these limitations and get a more effective regularizer for ReID, we rethink the nature of AT and unveil that the adversarial data augmentation is essentially reflected by gradients. Based on this, a novel implicit regularizer, named Stochastic Gradient Perturbation (SGP), is proposed, which naturally brings three merits: 1) Better diversity of the perturbation due to the proposed non-directional stochastic perturbations rather than directional adversarial perturbations. 2) Lower computational cost due to the proposed implicit gradient augmentation rather than explicitly additional data. 3) The optimization dilemma of the adversarial robustness and generalization is naturally overcome since SGP contains the adversarial gradient perturbation. Further, we put forward a perspective that the generalization and adversarial robustness may have an inter unity. Experiments on the baseline and SOTA models demonstrate powerful performances of the plugged-played SGP, and both generalization and adversarial robustness can be guaranteed.
Cypher by Example: A Visual Query Language for Graph Databases

Considering the constantly increasing connectivity in terms of data exchanged between applications, devices etc., modern IT systems are in need of a data storage solution able to capture and handle data about connections and patterns formed between system participants (entities). As a potential solution for this challenge, graph database emerged in the previous decade. Since the standardization of a graph database query language is still an undergoing effort, any interested parties can interact with a graph database and explore graph data by using query languages such as Cypher or Gremlin, which are supported by modern Graph Database Management Systems (GDBMSs). Even though the syntax of these languages is well developed and documented, potential end-users with little knowledge of graph databases and the graph data model can still face a steep learning curve before being able to write queries on their own data stored in a form of a property graph. Consequently, this brings to a limited interest among the users to implement graph databases in their domains, as there is obviously a missing tool for maintaining the graph database in a visual manner. To address this gap, this paper introduces Cypher by Example, a visual graph query language consisting of a visual interface and a set of operations for interacting with the underlying graph database. The paper presents the basic elements of the proposed query language and demonstrates its effectiveness and completeness on a series of Cypher queries executed for a sample education domain.
RF filter classification and identification based on fingerprint feature

- Radio frequency(RF) fingerprinting is a method to identify the target device by extracting the fingerprint features of the identification device or electronic device. It has received extensive attention and research because of its security and accessibility. The generation of RF fingerprints is caused by errors in the design and production of electronic devices. Because of the generation of errors is random and inevitable, the RF fingerprint of the filter can be obtained from the frequency response curve of the filter. At present, the traditional RF fingerprint identification technology uses advanced signal processing methods to extract fingerprint features to achieve target recognition, but there is still a lack of in-depth research on the generation mechanism of RF fingerprints. In this paper, a filter identification method is proposed, the generation mechanism of RF fingerprint is analyzed from the perspective of the physical properties of the filter, and the filter is identified by extracting the nonlinear frequency response curve of the filter as the fingerprint feature. The results proves that this method can identify and classify filters well.
Multi-Hand Gesture Separation and Recognition using Millimeter-wave Radar

This paper presents a multi-hand gesture separation and recognition system based on frequency modulated continuous wave (FMCW) radar. Specifically, we separately construct the parameter maps containing range-Doppler and range-angle. Then the multi-gesture targets separation algorithm based on spatiotemporal path selection is proposed. And then, we design a dualstream 3D convolutional neural feature fusion network to extract gesture features and classify gestures. Finally, experimental results prove that the average classification precision of the method we proposed is 93.12%.
Structuring design information by analyzing ship specifications

When specifications for a merchant vessel are prepared, they are based on existing specifications, and specifications are repeatedly changed in response to the shipowner's requests. Since the components of a ship are complex and interrelated, there is a possibility that some specification items will be changed in accordance with certain specification changes, but the relationships among these specification items are not organized and often depend on the intuition and experience of skilled workers. In this paper, the relationship between specification items for the equipment part of a merchant ship design document is calculated using the Cramer’s coefficient of association and expressed as a network structure so that even a non-skilled person can efficiently create specifications. The related values between specification items were derived on two scales, the components and their attributes, and multiple calculation methods were considered. It was also suggested that clustering specifications in advance and collecting specifications with similar characteristics may enable more accurate calculation of the relationship between specification items.