Reviewerly/exHarmony huggingface dataset:
An Exploratory Study on the Ripple Effect of Last Mile Delivery Service Industry Development Act

4차 산업혁명 기술 중 하나인 인공지능으로 인해 공유경제에 대한 개념은 우리 사회에 매우 빠른 속도로 확산되고 있다. 플랫폼 기술의 발전은 수요와 공급을 일치하는 속도를 증가시켜 효율성을 증대시키고 있다. 한편 공유경제의 개념은 기존의 전통적인 산업구조의 변화를 요구하고 있어 화물자동차운송사업 분야에 공유경제를 기반으로 한 신규 시장 진입자와 전통적인 화물자동차 운송사업자 간의 갈등이 충분히 예상되는 상황이다. 하지만 공유경제의 진화가 화물자동차운송사업에 어떠한 영향을 미칠 것인지에 대한 연구는 부족한 실정이다. 최근 국토교통부에서는 플랫폼 사업기반 ‘생활물류서비스산업발전법’ 제정을 추진하고 있어 향후 전통적인 화물자동차 운송사업에 많은 영향을 미칠 것으로 예상된다. 따라서 본 연구에서는 공유경제의 개념과 논리를 알아보고 이를 토대로 국토교통부가 추진하고자 하는 ‘생활물류서비스산업발전법’의 제정에 따른 파급효과를 살펴보고자 하였다. 이를 위해 미래의 상황을 가정하고 예상되는 결과를 토대로 화물자동차운송사업의 변화 가능성을 예측하였다. 분석결과는 다음과 같다. 첫째, 국내 택배사업자들은 무한경쟁 속에서 해외자본과 경쟁을 해야 할 것이다. 둘째, 기존 택배기사들의 시장퇴출이다. 셋째, 퀵서비스 및 늘찬배달업의 사업영역 확대이다. 마지막으로, 유통거래구조의 변화이다. 그리고 ‘생활물류서비스산업 발전법’의 출현은 지금 당장 택배와 퀵서비스 및 늘찬배달업이라는 기존의 틀만 포함될 것이지만 선진외국에서도 논의되는 Crowd logistics 등의 개념이 빠른 시일 내에 동법에 포함될 것으로 예상된다. 본 연구는 공유경제 개념에 기반하는 관련 법률의 영향을 분석한 초기 연구로서의 의의가 있을 것으로 기대한다.Due to artificial intelligence, which is one of the fourth industrial revolution technologies, the concept of sharing economy is rapidly spreading to our society. The development of platform technology is increasing the efficiency by increasing the speed to match demand and supply. On the other hand, the concept of sharing economy calls for change of existing traditional industrial structure. Therefore, conflicts between entrants to new markets based on sharing economy and traditional freight car carriers are expected in cargo vehicle transportation business. However, there is a lack of research on how the evolution of the sharing economy will affect the trucking transport business. Recently, the MOLIT(Ministry of Land, Infrastructure and Transport) is promoting the last mile delivery service industry development law, which is expected to have a great impact on the traditional cargo transportation business in the future. The purpose of this study is to investigate the ripple effects of the Act on the last mile delivery service industry development law which tried to MOLIT based on the concept and logic of sharing economy. To do this, we predicted the possibility of a change in trucking transport business based on the expected results assuming the future situation. The results of the analysis are as follows. First, domestic courier companies will have to compete with foreign capital in unlimited competition. Second, courier drivers will be kicked out of the market. Third, expansion of business area of quick and local delivery and messenger services business. Finally, it is a change in the retail transaction structure. In addition, the emergence of the Law on last mile delivery service industry development will include the existing framework of courier service, quick and local delivery and messenger services, but it is expected that the concept of Crowd logistics discussed in advanced countries will be included in the law as soon as possible. This study is expected to be of significance in early -stage studies analyzing the effects of related laws based on the concept of sharing economy.
A Survey on Challenges, Trends and Technologies of Internet of Things

International Journal of Computer Sciences and Engineering (A UGC Approved and indexed with DOI, ICI and Approved, DPI Digital Library) is one of the leading and growing open access, peer-reviewed, monthly, and scientific research journal for scientists, engineers, research scholars, and academicians, which gains a foothold in Asia and opens to the world, aims to publish original, theoretical and practical advances in Computer Science,Information Technology, Engineering (Software, Mechanical, Civil, Electronics & Electrical), and all interdisciplinary streams of Computing Sciences. It intends to disseminate original, scientific, theoretical or applied research in the field of Computer Sciences and allied fields. It provides a platform for publishing results and research with a strong empirical component. It aims to bridge the significant gap between research and practice by promoting the publication of original, novel, industry-relevant research.
Digital Literacy among the users of ABV-IIITM, Gwalior

This paper aims to throw light on the digital literacy among the respondents of ABV-IIIT, Gwalior. This paper covers familiarity of users with internet resources, purpose and frequency of using those resources, web based services and its frequency of use, training literacy programme needed for enhancement, devices used for access and constraints faced while using these resources.
Hand Gesture Speaking Unit for Mute People

International Journal of Computer Sciences and Engineering (A UGC Approved and indexed with DOI, ICI and Approved, DPI Digital Library) is one of the leading and growing open access, peer-reviewed, monthly, and scientific research journal for scientists, engineers, research scholars, and academicians, which gains a foothold in Asia and opens to the world, aims to publish original, theoretical and practical advances in Computer Science,Information Technology, Engineering (Software, Mechanical, Civil, Electronics & Electrical), and all interdisciplinary streams of Computing Sciences. It intends to disseminate original, scientific, theoretical or applied research in the field of Computer Sciences and allied fields. It provides a platform for publishing results and research with a strong empirical component. It aims to bridge the significant gap between research and practice by promoting the publication of original, novel, industry-relevant research.
Context-aware Deep Model for Entity Recommendation in Search Engine at Alibaba

Entity recommendation, providing search users with an improved experience via assisting them in finding related entities for a given query, has become an indispensable feature of today's search engines. Existing studies typically only consider the queries with explicit entities. They usually fail to handle complex queries that without entities, such as "what food is good for cold weather", because their models could not infer the underlying meaning of the input text. In this work, we believe that contexts convey valuable evidence that could facilitate the semantic modeling of queries, and take them into consideration for entity recommendation. In order to better model the semantics of queries and entities, we learn the representation of queries and entities jointly with attentive deep neural networks. We evaluate our approach using large-scale, real-world search logs from a widely used commercial Chinese search engine. Our system has been deployed in ShenMa Search Engine and you can fetch it in UC Browser of Alibaba. Results from online A/B test suggest that the impression efficiency of click-through rate increased by 5.1% and page view increased by 5.5%.
Active Authentication on Mobile Device using Stylometry

International Journal of Computer Sciences and Engineering (A UGC Approved and indexed with DOI, ICI and Approved, DPI Digital Library) is one of the leading and growing open access, peer-reviewed, monthly, and scientific research journal for scientists, engineers, research scholars, and academicians, which gains a foothold in Asia and opens to the world, aims to publish original, theoretical and practical advances in Computer Science,Information Technology, Engineering (Software, Mechanical, Civil, Electronics & Electrical), and all interdisciplinary streams of Computing Sciences. It intends to disseminate original, scientific, theoretical or applied research in the field of Computer Sciences and allied fields. It provides a platform for publishing results and research with a strong empirical component. It aims to bridge the significant gap between research and practice by promoting the publication of original, novel, industry-relevant research.
Operation Mechanism of Industry and Academia Cooperation College

China's economy is growing, and Chinese higher education is developing with rapid acceleration.Chinese higher education faces a barrier to promoting university-industry collaboration now.The traditional teaching methodologies are not suitable for industry requirements.Industry and Academia Cooperation College (IACC) is a new way to establish industryacademic linkages and to support universities in China in improving their engineering education.Operation mechanism could influence the propensity and the scope of universityindustry collaboration in IACC.This paper focuses on the operation mechanism of IACC.Examinations of regional development and academia-business cooperation of IACC are discussed.Based on existing research and practice, the operation mechanism of IACC is addressed.The content of this paper provides a new way of effective cooperation Model in IACC.
A Vector Space Approach to Generate Dynamic Keys for Hill Cipher

In this paper, a variant of the Hill cipher is proposed. In the classical Hill cipher, an invertible matrix is used for encryption but the scheme is vulnerable to the known-plaintext attack which can reveal the matrix. In our proposed cryptosystem, each plaintext block is encrypted by a new invertible key matrix that thwarts the known-plaintext attack. To generate the invertible matrices which serve as the dynamic keys we make use of the vector spaces, randomly generated basis and non-singular linear transformation. Resulting cipher is secure against the known-plaintext attack.
Perception Types of Pre-Physical Education Teachers on the Smart Learning

The purpose of this study was to analyze perception types of pre-physical education teachers on the smart learning. Forty four pre-physical education teachers in Green University located in S city, were selected for the subjects based on the Q methodology. Q samples were 20 Q statements finally extracted from the total of 102 Q statements after the experts’ consultation. The final 30 selections were surveyed to be forced distribution by the respondents to the statement of their positive, neutral, negative frequency distribution of the total score 7 points. The factor analysis was conducted by utilizing the QUANL-PC program. The following conclusions were derived by the factors centered over 1.00 values. First, the image types of pre-physical education teachers on the smart learning were classified into 4 image types, interest-oriented training, learning-oriented style transcending time and space equality value oriented, seeking application of change in the times, information sharing based on IT devices, and learner-centered education-oriented type.
Secure Retrieval and Revocable Attribute-Based Encryption Scheme in Cloud Storage

International Journal of Computer Sciences and Engineering (A UGC Approved and indexed with DOI, ICI and Approved, DPI Digital Library) is one of the leading and growing open access, peer-reviewed, monthly, and scientific research journal for scientists, engineers, research scholars, and academicians, which gains a foothold in Asia and opens to the world, aims to publish original, theoretical and practical advances in Computer Science,Information Technology, Engineering (Software, Mechanical, Civil, Electronics & Electrical), and all interdisciplinary streams of Computing Sciences. It intends to disseminate original, scientific, theoretical or applied research in the field of Computer Sciences and allied fields. It provides a platform for publishing results and research with a strong empirical component. It aims to bridge the significant gap between research and practice by promoting the publication of original, novel, industry-relevant research.
A Survey on Visual Cryptography Techniques used in Medical Images Encryption

International Journal of Computer Sciences and Engineering (A UGC Approved and indexed with DOI, ICI and Approved, DPI Digital Library) is one of the leading and growing open access, peer-reviewed, monthly, and scientific research journal for scientists, engineers, research scholars, and academicians, which gains a foothold in Asia and opens to the world, aims to publish original, theoretical and practical advances in Computer Science,Information Technology, Engineering (Software, Mechanical, Civil, Electronics & Electrical), and all interdisciplinary streams of Computing Sciences. It intends to disseminate original, scientific, theoretical or applied research in the field of Computer Sciences and allied fields. It provides a platform for publishing results and research with a strong empirical component. It aims to bridge the significant gap between research and practice by promoting the publication of original, novel, industry-relevant research.
Eyeopen for Predicting of Flood Flow by Statistical and Machine Learning Model

International Journal of Computer Sciences and Engineering (A UGC Approved and indexed with DOI, ICI and Approved, DPI Digital Library) is one of the leading and growing open access, peer-reviewed, monthly, and scientific research journal for scientists, engineers, research scholars, and academicians, which gains a foothold in Asia and opens to the world, aims to publish original, theoretical and practical advances in Computer Science,Information Technology, Engineering (Software, Mechanical, Civil, Electronics & Electrical), and all interdisciplinary streams of Computing Sciences. It intends to disseminate original, scientific, theoretical or applied research in the field of Computer Sciences and allied fields. It provides a platform for publishing results and research with a strong empirical component. It aims to bridge the significant gap between research and practice by promoting the publication of original, novel, industry-relevant research.
A Study on the Improvement of Corporate Management Performance by Enhancing RTE Capacity of Logistics Companies

본 연구는 물류기업을 대상으로 하여 물류기업의 RTE 역량의 제고가 기업의 경영성과에 미치는 영향에 대하여 분석하는 것으로 물류기업의 RTE 역량 제고에 영향을 미칠 수 있는 RTE 선행요인, RTE 역량, 기업 경영성과 간의 관계를 연구하는 것이다. RTE 선행요인으로는 환경 불확실성과 시장(고객)지향성, RTE 역량으로는 민첩성, 가시성, 예측능력, 정보시스템, 기업 경영성과로는 재무적 성과와 비재무적 성과를 선정하였으며, 이들 간의 연구가설을 검정한 결과는 다음과 같다. 먼저 RTE 선행요인으로서 환경 불확실성은 RTE 역량으로서 민첩성, 가시성, 정보시스템에는 긍정적이고 유의한 영향을 미치 며, 시장지향성은 민첩성과 정보시스템에만 긍정적이고 유의한 영향을 미치는 것으로 나타난다. 또한 RTE 역량으로서 민첩성, 가시성, 정보시스템은 재무적 성과에 긍정적이고 유의한 영향을 미치며, 민첩성과 가시성은 비재무적 성과에 긍정적이고 유의한 영향을 미친다. 그리고 RTE 선행요인과 기업 경영성과 사이에서 RTE 역량은 일부 매개변수의 역할을 한다. 이러한 연구결과를 통해 물류기업들이 RTE로의 변화와 실행을 위하여 구비하여야 하는 RTE 역량들을 명확하게 규명하였으며, 물류기업들이 지각하는 RTE 선행요인들은 RTE 역량들의 제고에 영향을 미치며, RTE 역량들의 제고는 기업 경영성과의 제고로 연결될 수 있다. 따라서 물류기업들의 RTE 역량 확보는 기업 경영성과의 제고로 이어질 수 있으므로 물류기업들의 경쟁우위 확보를 위한 방안을 제시하였다.The purpose of this study is to analyze the effect of the enhancement of RTE competence on the performance of the firm of logistics companies. This study is to investigate the relationship between RTE precedent, RTE capacity and business performance, which may affect the enhancement of RTE capacity of logistics companies. We selected environmental uncertainty, market(customer) orientation, agility, visibility, forecasting ability, information system, financial performance and non-financial performance as corporate management performance as the leading factors of RTE. The results of the research hypotheses between them are as follows. First, environmental uncertainty as a precedent factor of RTE has a positive and significant effect on agility, visibility and information system as RTE capacity, and market orientation has a positive and significant effect on agility and information system. Agility, visibility, and information systems as RTE capabilities have a positive and significant impact on financial performance, while agility and visibility have a positive and significant impact on non-financial performance. The RTE competency serves as some parameter between the RTE predecessor and the business performance. These findings clearly demonstrate the RTE capabilities that logistics companies have to offer to change and implement RTEs. The RTE predisposing factors perceived by logistics companies affect the enhancement of RTE competencies, And to improve the management performance. Therefore, securing the RTE capability of the logistics companies can lead to the enhancement of the management performance of the company, thus suggesting a way to secure the competitive advantage of the logistics companies.
Information Governance Maturity Assessment Using Enterprise Architecture Model Analysis and Description Logics

A Maturity Model represents a path towards an increasingly organized and systematic way of doing business. It is therefore a widely used technique valuable to assess certain aspects of organizations, as for example business processes. A maturity assessment can enable stakeholders to clearly identify strengths and improvement points, and prioritize actions in order to reach higher maturity levels. Doing maturity assessments can range from simple self-assessment questionnaires to full-blown assessment methods, such as those recommended by the ISO/IEC TS 33030 or the SEI SCAMPI. A main caveat of these assessments is the resources they encompass. In addition, many times the lack of automation renders benchmarks not possible. Assuming that the wide-spread of Enterprise Architecture practices is making the modeling of business domains a fact, and considering the recent state of the art on the representation of those models as ontologies, this paper proposes how existing semantic technology can be used to automate Information Governance maturity assessment of real organizations by automating the analysis of enterprise architecture models in ArchiMate.
PEMANFAATAN TEKS BACAAN SATUA BALI DALAM MENUMBUHKAN BUDAYA LITERASI DAN PEMBENTUKAN KARAKTER PADA SISWA SEKOLAH DASAR

&lt;p&gt;&lt;em&gt;The main problems encountered in education, especially in primary schools is the low interest in reading and the number of deviant behavior as a manifestation of bad character of students. In some of the results of research on reading interests, Indonesia ranks below countries in the world. Also, the problem of moral degradation, many behaviors such as violence, theft, rape and others that reflect not maximal character education among children and adolescents. To that end, efforts should be made pengintesifan increased interest in reading and character education. Satua Bali is an interesting read so as to stimulate students' interest in reading and ultimately foster a culture of literacy. Satua also contains a lot of character values so it is suitable to be reading by elementary school students.&lt;/em&gt;&lt;/p&gt;
Rethinking Zero-Shot Learning: A Conditional Visual Classification Perspective

Zero-shot learning (ZSL) aims to recognize instances of unseen classes solely based on the semantic descriptions of the classes. Existing algorithms usually formulate it as a semantic-visual correspondence problem, by learning mappings from one feature space to the other. Despite being reasonable, previous approaches essentially discard the highly precious discriminative power of visual features in an implicit way, and thus produce undesirable results. We instead reformulate ZSL as a conditioned visual classification problem, i.e., classifying visual features based on the classifiers learned from the semantic descriptions. With this reformulation, we develop algorithms targeting various ZSL settings: For the conventional setting, we propose to train a deep neural network that directly generates visual feature classifiers from the semantic attributes with an episode-based training scheme; For the generalized setting, we concatenate the learned highly discriminative classifiers for seen classes and the generated classifiers for unseen classes to classify visual features of all classes; For the transductive setting, we exploit unlabeled data to effectively calibrate the classifier generator using a novel learning-without-forgetting self-training mechanism and guide the process by a robust generalized cross-entropy loss. Extensive experiments show that our proposed algorithms significantly outperform state-of-the-art methods by large margins on most benchmark datasets in all the ZSL settings. Our code is available at \url{https://github.com/kailigo/cvcZSL}
Semantic Network Analysis of Broadcasting Related Climbing through Media Big Data

Purpose: This study aims to identify the most frequently occurring words, word pairs in the media climbers’ report and the words of high centralities in the semantic network. It also aims to analyze the news frame.BR Method: This study collected data on climbing-related articles reporetd in national comprehensive daily newspapers and central broadcasting for the past 10 years from January 1, 2009 to December 31, 2018. In order to search for articles related to mountain climbing, the study collected mountain climbing articles for central newspaper and central broadcasting. There were 3,129 artic les totaling 32,742 words. This data is composed through Excel and analyzed through the Netminer programD. ata were analyzed by frequency analysis, centrality analysis, and cohesion group analysis.BR Results: The results are as follows. First, the frequency of importan wt ords was in order of exercise, price, joint, hiking, safety, self, healing, economy, rescuing, climbers, and concurrent word pairs were Korean-hobby, climbing-hiking, and Korean–climbing. Second, the main words showed similar tendencies in the three centralities. Koreans, exercise, spring, fall, etc. were highl ycentral. Third, the climbing network of the medi a was represented by five subgroups. Subgroup one consisted of altitude sickness and symptom, subgroup two of spring, mountain hiking and hiking, subgroup three of sports, subgroup four of Koreans, and subgroups five of climbers. In this study, we focused on newspaper articles nad broadcasting reports, but in the follow-up research, it is necessary to analyze the semantic network of social media such as Twitter, Facebook, YouTube and etc.BR Conclusion: Top words of climbing are similar regardless of centralitie sS.everal particular words and word groups symbolize Korean mountain climbing.
3D Neighborhood Convolution: Learning Depth-Aware Features for RGB-D and RGB Semantic Segmentation

A key challenge for RGB-D segmentation is how to effectively incorporate 3D geometric information from the depth channel into 2D appearance features. We propose to model the effective receptive field of 2D convolution based on the scale and locality from the 3D neighborhood. Standard convolutions are local in the image space ($u, v$), often with a fixed receptive field of 3x3 pixels. We propose to define convolutions local with respect to the corresponding point in the 3D real-world space ($x, y, z$), where the depth channel is used to adapt the receptive field of the convolution, which yields the resulting filters invariant to scale and focusing on the certain range of depth. We introduce 3D Neighborhood Convolution (3DN-Conv), a convolutional operator around 3D neighborhoods. Further, we can use estimated depth to use our RGB-D based semantic segmentation model from RGB input. Experimental results validate that our proposed 3DN-Conv operator improves semantic segmentation, using either ground-truth depth (RGB-D) or estimated depth (RGB).
PURBA 2019

The 8th Workshop on Pervasive Urban Applications (PURBA 2019) aims to build on the success of the previous workshops organized in conjunction with the Pervasive (2011-12) and UbiComp (2013, 2015-18) to continue to disseminate the results of the latest research outcomes and developments of ubiquitous computing technologies for urban applications. All workshop contributions are published in supplemental proceedings of the UbiComp 2019 conference and included in the ACM Digital Library.