Reviewerly/exHarmony huggingface dataset:
Future Identity Card Using Lattice-Based Cryptography and Steganography

Unauthorized or illegal access to confidential data belonging to an individual or corporation is the biggest threat in information security. Many approaches have been proposed by other researchers to prevent credential data and identity theft, i.e., cryptography, steganography, digital watermarking, and hybrid system. In mid-90s, Shor’s algorithm was introduced to be used in quantum computing. This algorithm could break the well-known cryptography or steganography. Shor’s algorithm has been cleverly used in the quantum computing as a new breakthrough in computer science to parallelly solve problems (NP-hard). However, it can be a threat for security system or cryptosystem. This research proposed a new hybrid approach by using post-quantum cryptography and advanced steganography. Nth degree truncated polynomial ring (NTRU) is one of the candidates of post-quantum cryptography that is claimed to be hard to break even with quantum computing. Least significant bit (LSB) is a spatial steganography technique done by replacing bit of the cover image with message bit. The result and comparison of the proposed approach with different existing cryptosystem proved that this approach is promising to be implemented in identity card, banking card, etc.
Non-committing Encryption with Constant Ciphertext Expansion from Standard Assumptions

Non-committing encryption (NCE) introduced by Canetti et al. (STOC ’96) is a central tool to achieve multi-party computation protocols secure in the adaptive setting. Recently, Yoshida et al. (ASIACRYPT ’19) proposed an NCE scheme based on the hardness of the DDH problem, which has ciphertext expansion $$\mathcal {O}(\log \lambda )$$ and public-key expansion $$\mathcal {O}(\lambda ^2)$$ . In this work, we improve their result and propose a methodology to construct an NCE scheme that achieves constant ciphertext expansion. Our methodology can be instantiated from the DDH assumption and the LWE assumption. When instantiated from the LWE assumption, the public-key expansion is $$\lambda \cdot \mathsf {poly}(\log \lambda )$$ . They are the first NCE schemes satisfying constant ciphertext expansion without using iO or common reference strings. Along the way, we define a weak notion of NCE, which satisfies only weak forms of correctness and security. We show how to amplify such a weak NCE scheme into a full-fledged one using wiretap codes with a new security property.
The Construction of Low-carbon Coastal City Based on the Analysis of Industrial Energy Consumption

Ma, X. and Huang, Y., 2020. The construction of low-carbon coastal city based on the analysis of industrial energy consumption. In: Li, L. and Huang, X. (eds.), Sustainable Development in Coastal Regions: A Perspective of Environment, Economy, and Technology. Journal of Coastal Research, Special Issue No. 112, pp. 29-32. Coconut Creek (Florida), ISSN 0749-0208.Energy is the “blood” of national economic development, which will directly affect the development and core competitiveness of social economy. With the rapid economic development of coastal cities, the coastal cities energy consumption is increasing. Among them, the energy consumption of the three major industries is the main component of the total energy consumption, which is also one of the important “bottlenecks” hindering the development of the industry. At the same time, coastal cities have a more developed industrial system. With the low-carbon cities development, the continuous rise and natural disasters of global temperature have occurred frequently. Therefore, we must slow down climate change, which will ensure the human beings development. Therefore, low-carbon cities will become an important part of urban sustainable development. By vigorously promoting low-carbon economy, we can reduce the low-carbon content of coastal city construction. Therefore, this paper first forecasts the three major industries energy consumption in the Bohai Rim region. Based on the industrial energy consumption prediction, we can analyze the indicators of coastal low-carbon cities in the Bohai Rim region. Finally, some suggestions can be put forward.
Scalable and Secure Computation Among Strangers: Message-Competitive Byzantine Protocols

The last decade has seen substantial progress on designing Byzantine agreement algorithms which do not require all-to-all communication. However, these protocols do require each node to play a particular role determined by its ID. Motivated by the rise of permissionless systems such as Bitcoin, where nodes can join and leave at will, we extend this research to a more practical model where initially, each node does not know the identity of its neighbors. In particular, a node can send to new destinations only by sending to random (or arbitrary) nodes, or responding to messages received from those destinations. We assume a synchronous and fully-connected network, with a full-information, but static Byzantine adversary. A major drawback of existing Byzantine protocols in this setting is that they have at least Ω(n²) message complexity, where n is the total number of nodes. In particular, the communication cost incurred by the honest nodes is Ω(n²), even when Byzantine node send no messages. In this paper, we design protocols for fundamental problems which are message-competitive, i.e., the total number of bits sent by honest nodes is not significantly more than the total sent by Byzantine nodes. We describe a message-competitive algorithm to solve Byzantine agreement, leader election, and committee election. Our algorithm sends an expected O((T+n)log n) bits and has latency O(polylog(n)) (even in the CONGEST model), where T = O(n²) is the number of bits sent by Byzantine nodes. The algorithm is resilient to (1/4-e)n Byzantine nodes for any fixed e > 0, and succeeds with high probability. Our message bounds are essentially optimal up to polylagarithmic factors, for algorithms that run in polylogarithmic rounds in the CONGEST model.We also show lower bounds for message-competitive Byzantine agreement regardless of rounds. We prove that, in general, one cannot hope to design Byzantine protocols that have communication cost that is significantly smaller than the cost of the Byzantine adversary.
SOM-Based System for Sequence Chunking and Planning

In this paper we present a connectionist architecture called C-block combining several powerful and cognitively relevant features. It can learn sequential dependencies in incoming data and predict probability distributions over possible next inputs, notice repeatedly occurring sequences, automatically detect sequence boundaries (based on surprise in prediction) and represent sequences declaratively as chunks/plans for future execution or replay. It can associate plans with reward, and also with their effects on the system state. It also supports plan inference from an observed sequence of behaviours: it can recognize possible plans, along with their likely intended effects and expected reward, and can revise these inferences as the sequence unfolds. Finally, it implements goal-driven behaviour, by finding and executing a plan that most effectively reduces the difference between the current system state and the agent’s desired state (goal). C-block is based on modified self-organizing maps that allow fast learning, approximate queries and Bayesian inference.
A Survey on Dynamic Sign Language Recognition

Sign Language Recognition (SLR) plays a significant role in solving communicating problem between people who are deaf. The focus of a variety of SLR systems is the same, to improve the accuracy of recognition. This paper presents a survey on dynamic SLR, including two main categories, typically mentioning HMM, some main datasets in different languages and methods used for data preprocessing.
On the Application and Development of Modern Information Technology in Physical Education

Abstract With the progress of the times and the advancement of science and technique, along with the rapid development and popularization of computer technology and network technology, modern information technology has entered all aspects of human life, especially in the appliance of education and teaching, which further reflects the teaching. The modernization of means, the use of modern information technology for teaching, the establishment of a new teaching model, is conducive to improving the quality of teaching, then how to use modern information technology education in physical education teaching? This article will discuss some.
Set Representation of Itemset for Candidate Generation with Binary Search Technique

Till date, there are many association mining algorithms which have been used in varied applications. The performance of these mining algorithms are greatly affected by the execution time and the way the itemsets are stored in the memory. Most of the time is wasted while scanning the database and searching for the frequent itemsets. The search space keeps on increasing when the number of attributes in the database is large, especially when dealing with millions of transactions. Furthermore, the representation of itemsets in the memory plays a vital role when large databases are handled. To solve this problem, this paper shows an improvement of the algorithms by representing a concise representation and reducing the searching time for the frequent itemsets.
An Energy Efficient Fault Tolerance Technique Based on Load Balancing Algorithm for High-Performance Computing in Cloud Computing

Background and Objectives: Cloud Computing has brought a new dimension to the IT world. The technology of cloud computing allows employing a large number of Virtual Machines to run intensive applications. Each failure in running applications fails system operations. To solve the problem, it is required to restart the systems. Methods: In this paper, to predict and avoid failure in HPC systems, a method of fault tolerance to High-Performance Computing systems (HPC) in the cloud is called Daemon-COA-MMT (DCM), has been proposed. In the proposed method, the Daemon Fault Tolerance technique has been enhanced, and COA-MMT has been utilized for load balancing. The method consists of four modules, which are used to determine the host state. When the system is in the alarm state, the current host may face failure. Then the most optimal host for migration is selected, and process-level migration is performed. The method causes decreased migration overheads, decreased system performance speed, optimal use of underutilized hosts instead of leasing new hosts, appropriate load balancing, equal use of hardware resources by all hosts, focusing on QoS and SLA, and the significant decrease of energy consumption. Results: The simulation results revealed that in terms of parameters, the proposed method declines average job makespan, average response time, and average task execution cost by 18.06%, 35.68%, and 24.6%, respectively. The proposed fault tolerance algorithm has improved energy consumption by 30% and decreased the HPC systems' failure rate. Conclusion: In this study, the Daemon Fault Tolerance technique has been enhanced, and COA-MMT has been utilized for load balancing in high performance computing in the cloud computing.
Tableware: Social Coordination Through Computationally Augmented Everyday Objects Using Auditory Feedback

This research develops a novel way of rethinking cultural and social behavior using computationally augmented artifacts. These ‘instruments’ provide various types of auditory feedback when manipulated by certain actions within social contexts, such as a bar or dining space. They foster affective social engagement through the habitual and explorative actions that they afford in everyday contexts, and their resulting auditory feedback. The goal is not only to observe how social interactions are affected by the manipulation of augmented artifacts, but also to observe how the sounds and manipulations affect psycho-sociological [1] changes towards more collaborative social relations during the processes of participatory sense-making [2]. In this paper, we present: a) a study of dynamic social interaction and how we instrumented tangible artifacts to reflect and induce engagement, b) a literature review that provides background for our design methodology, c) ‘vocal prototyping’–a responsive media technique for developing action-sonic mappings, d) our experimental prototype based on this design methodology.
Research on English Listening and Speaking Teaching Model Based on Computer New Media Technology

Abstract With the development of English education, listening and speaking teaching mode has become an important way of teaching. In the new era, the use of listening and speaking model in college English classes and effective college English teaching will greatly help the teaching effect of college English. At the same time, the computer internet technology has been developing rapidly in recent years, and the college English listening and speaking teaching mode should emphasize student-centered and teacher-led, and cultivate students’ intercultural communication ability, reading ability and writing ability.
Agile Design Hardwired into 150-year-old Food Company

Craig Slavtcheff is executive vice president, chief technology and innovation officer of Campbell Soup Company.In the late 1700s, Napoleon created what we now call a request for proposal (RFP) for ...
Research on GPS Data Frame Analysis

Abstract With the continuous development of GPS positioning technology and the popularization of applications, more and more GPS receivers emerge at the right moment. UM220-III supports big dipper / GPS, higher integration, excellent positioning timing function, high sensitivity design. In this paper, a low cost GPS positioning system based on STM8S is proposed, which analyzes the GPS data frame and has high positioning accuracy, the positioning information and the position accuracy factor of the observation point both obtain higher positioning accuracy.
Linguistic features of email correspondence between university students and their teachers

The present paper explores the linguistic features of email correspondence between university students and teachers as part of a comprehensive survey of addressing practices in higher education. It presents questions and preliminary results pertaining to how traditional, letter-based forms of linguistic interaction are transformed in discourses of digital written communication between students and teachers.
Multi-Agent Reinforcement Learning for Persistent Monitoring.

The Persistent Monitoring (PM) problem seeks to find a set of trajectories (or controllers) for robots to persistently monitor a changing environment. Each robot has a limited field-of-view and may need to coordinate with others to ensure no point in the environment is left unmonitored for long periods of time. We model the problem such that there is a penalty that accrues every time step if a point is left unmonitored. However, the dynamics of the penalty are unknown to us. We present a Multi-Agent Reinforcement Learning (MARL) algorithm for the persistent monitoring problem. Specifically, we present a Multi-Agent Graph Attention Proximal Policy Optimization (MA-G-PPO) algorithm that takes as input the local observations of all agents combined with a low resolution global map to learn a policy for each agent. The graph attention allows agents to share their information with others leading to an effective joint policy. Our main focus is to understand how effective MARL is for the PM problem. We investigate five research questions with this broader goal. We find that MA-G-PPO is able to learn a better policy than the non-RL baseline in most cases, the effectiveness depends on agents sharing information with each other, and the policy learnt shows emergent behavior for the agents.
Use of an Escape-Room Game Format for Simulation Training

Maintaining competencies for infrequent emergencies such as obstetric hemorrhage can be challenging. Simulation training is best practice; however, engaging staff to use critical thinking skills during the simulation exercise requires creativity. Observations of staff during real and simulated emergencies on a 36-bed mother–baby unit (MBU) demonstrated a lack of key teamwork elements, which were defined as closed-loop communication, role responsibility, and ability to work within roles. The purpose of this project was to create an escape-room gaming format to train for obstetric hemorrhage emergencies. Escape rooms are team-based games that require participants to cooperatively solve puzzles and clues to advance in sequence tasks during an allotted timeframe promoting collaboration. The proposed change was to enhance teamwork during a simulated obstetric hemorrhage emergency. In 2019, MBU nurse leaders created an escape-room training program for obstetric hemorrhage events to emulate the level of anxiety experienced during an actual obstetric emergency. Nurse leaders integrated an emergency patient scenario simulation, medical equipment, and the electronic medical record and created puzzles and riddles for participants to solve to escape the room and save the patient. The 60-minute activity included introduction to the exercise, a timed escape-room game format for simulation training, and staff and observer debriefing. Nurse leaders tracked participant satisfaction, net promoter score, likelihood of recommending the program on a scale of 1–10, and leader observations of participants. Debriefings sessions included staff and observer perceptions of the use of teamwork key elements. Ninety-nine percent of the MBU staff completed the simulation training. The NPS was 9.0. Postsession debriefing revealed the presence of teamwork in all sessions, including closed-loop communication, role clarity, situational awareness, and decision making. Participants reported improved confidence and role clarity in managing obstetric emergencies. Postsession debriefing sessions and NPS suggest that using an escape-room game format for simulation training can improve participants’ experience and teamwork competencies. Patient safety survey results will be tracked to further evaluate staff perceptions of the management of obstetric emergencies on MBU.
Can e-Resources Replace Print Resources? : Faculty Perception

The University libraries have positioned themselves as the main support for intellectual development. This paper discusses faculty members’ perceptions on the use of print versus electronic resources. A survey of 134 faculty members of three agricultural universities of Punjab, Haryana and Himachal Pradesh was conducted. It was discovered that a majority of these teachers had good perceptions on the use of electronic resources. However, majority of faculty members prefer resources in both electronic as well as print format. At the same time faculty members also feel that print resources hold a certain cachet as many faculty members are in a dilemma regarding the replacement of print information resources.
Utilization of Remote Access Electron Microscopes to Enhance Technology Education and Foster STEM Interest in Preteen Students

Remote access technology in STEM education fills dual roles as an educational tool to deliver science education (Educational Technology) and as a means to teach about technology itself (Technology Education). A five-lesson sequence was introduced to eleven to twelve-year-old students at an urban school. The lesson sequences were inquiry-based, hands-on, and utilized active learning pedagogies which have been implemented in STEM classrooms worldwide. Each lesson employed a Scanning Electron Microscope (SEM) and Energy Dispersive Spectroscopy (EDS) accessed remotely. Students were assessed using multiple choice questions to ascertain (1) technology education learning gains: did students gain an understanding of how electron microscopes work? and (2) educational technology learning gains: did students gain a better understanding of lesson content through use of the electron microscope? Likert-item surveys were developed, distributed and analyzed to established how remote access technology affected student attitudes toward science, college, and technology. Participating students had a positive increase in attitudes toward scientific technology by engaging in the lesson sequences; reported positive attitudes toward remote access experiences; and exhibited learning gains in the science behind the SEM technology they accessed remotely. These findings suggest that remote experiences are a strong form of technology education, but also that future research could explore ways to strengthen remote access as an educational technology (a tool to deliver lesson content), such as one-on-one engagement. This study promotes future research into inquiry-based, hands-on, integrated lessons approach that utilize educational technology learning through remote instruments as a pedagogy to increase students' engagement with and learning of the T in STEM.
Smart Dissemination by Using Natural Language Processing Technology

Background: Recently, WhatsApp has become the world's most popular text and voice messaging application with 1.5 billion users. A lot of WhatsApp Application Programming Interface (API) has also been established to be connected to other applications. On the other hand, the development of natural language processing (NLP) for WhatsApp messages has snowballed. There are extensive studies on the dissemination information using WhatsApp but the study on NLP involving data from WhatsApp is lacking.Objective: This study aims to implement NLP in smart dissemination applications by using WhatsApp API.Methods: We build a framework that embeds an intelligent system based on the NLP in WhatsApp API to disseminate a dynamic message. Some of the sentences are used to evaluate the accuracy of this application.Results: Smart dissemination consists of dynamic filter and dynamic content. Dynamic filter was conducted by using the POS tagger and clause statement. Meanwhile, dynamic content was built by using the replace MySQL function. There are twofold limitation: the application could not transform a message that matches rule &lt;3&gt; with conjunction “dan”; has the same attribute before and after &lt;CC&gt; tag; and the maximum of the logical operator is one type for coordinating conjunction (AND/OR) in one sentence.Conclusion: Our framework can be used for dynamic dissemination of messages using dynamic message content and dynamic message recipient with an accuracy of 95% from twenty sample messages.
Multi-authority attribute-based encryption supporting hierarchal access policy and range policy

Attribute-based encryption (ABE) is an appropriate technique to solve the problems of data sharing in cloud computing for the reason it can offer fine-grained access control. A large amount of data usually has a hierarchal structure, which can be leveraged to improve the efficiency of ABE. For some attributes which have numerical values, it is common to make a policy to determine if a certain number is in a given range. However, it is inefficient to trivially make an OR gate consisting of all the values in the range. Moreover, as cloud computing becomes more and more widely used, ABE with single authority is no longer applicable. Thus, a multi-authority ABE scheme supporting range policy is proposed. In the proposed scheme, there is one trusted central authority and multiple attribute authorities that manage different attribute domains. The shared data can be encrypted with an integrated access policy to save storage overhead and encryption and decryption time. Extension to range policy is realized by using classic segment tree. In addition, we prove our scheme is secure against CPA under standard model and analyze the efficiency of our scheme in comparison.