The electronic journal of human sexuality最新文献

{"title":"A Node Deployment Model with Variable Transmission Distance for Wireless Sensor Networks","authors":"Fan Tiegang, Chen Junmin","doi":"10.5121/ijwmn.2020.12403","DOIUrl":"https://doi.org/10.5121/ijwmn.2020.12403","url":null,"abstract":"The deployment of network nodes is essential to ensure the wireless sensor network's regular operation and affects the multiple network performance metrics, such as connectivity, coverage, lifetime, and cost. This paper focuses on the problem of minimizing network costs while meeting network requirements, and proposes a corona-based deployment method by using the variable transmission distance sensor. Based on the analysis of node energy consumption and network cost, an optimization model to minimize Cost Per Unit Area is given. The transmission distances and initial energy of the sensors are obtained by solving the model. The optimization model is improved to ensure the energy consumption balance of nodes in the same corona. Based on these parameters, the process of network node deployment is given. Deploying the network through this method will greatly reduce network costs.","PeriodicalId":89488,"journal":{"name":"The electronic journal of human sexuality","volume":"131 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79615580","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Performance Comparison and Analysis of Proactive, Reactive and Hybrid Routing Protocols for Wireless Sensor Networks","authors":"Faiza Tabbana","doi":"10.5121/ijwmn.2020.12401","DOIUrl":"https://doi.org/10.5121/ijwmn.2020.12401","url":null,"abstract":"Wireless Sensor networks are a challenging task due to the lack of resources in the network as well as the frequent changes in network topology. Various routing protocols are designed basically to establish correct and efficient paths between source and destination. In the recent years, several routing protocols have been proposed in literature and many of them studied through extensive simulation at different network characteristics. In this paper, we compare the performance of three most common routing protocols of wireless sensor networks i.e. AODV, DSDV and ZRP. These protocols have been simulated using NS2 Package. This study investigates the routing protocols corresponding to packet delivery ratio, packet loss ratio, average throughput, dropped packets and end-to-end delay. Hence, evaluation and comparison between routing protocols is required because performance of any routing protocol can be changed with various parameters such as speed of nodes, pause times and number of nodes.","PeriodicalId":89488,"journal":{"name":"The electronic journal of human sexuality","volume":"83 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80401726","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Knowledge Identification by Structured Data for Decision Making in Project Teams","authors":"N. Yusupova, Ольга Сметанина, E. Sazonova, A. Agadullina","doi":"10.2991/aisr.k.201029.072","DOIUrl":"https://doi.org/10.2991/aisr.k.201029.072","url":null,"abstract":"The methodology of information support for decision-making in the formation of the project team was presented in this article. The object of the research is the process of the project team’s formation before the start of the project. The subject of research is a set of methods and means of organizing information support for decision-making in the formation of a project team. Aim of this research work is organization of information support for decision-making in the process of forming a project team to improve the quality of decisions. The proposed methodology includes collection and preparation of data for analysis, identification of new knowledge based on similarity of objects using clustering, their integration with expert knowledge, formalization of knowledge and formation of the knowledge base, obtaining solutions while making use of knowledge and inference engine. Application of tools for data mining, namely the analytical platform Deductor Studio, are shown. The results of experimental studies based on the proposed method are provided.","PeriodicalId":89488,"journal":{"name":"The electronic journal of human sexuality","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89363163","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Taxonomy of Training Data: Disentangling the Mismatched Rights, Remedies, and Rationales for Restricting Machine Learning","authors":"Benjamin Sobel","doi":"10.2139/ssrn.3677548","DOIUrl":"https://doi.org/10.2139/ssrn.3677548","url":null,"abstract":"This chapter addresses a crucial problem in artificial intelligence: many applications of machine learning depend on unauthorized uses of copyrighted data. Scholars and lawmakers often articulate this problem as a deficiency in copyright’s exceptions and limitations, reasoning that legal uncertainties surrounding today’s AI stem from the lack of a clear exception or limitation, and that such an exception or limitation could resolve the current predicament. In fact, the current predicament is a product of two systemic features of the copyright regime — the absence of formalities and the low threshold of copyright-able originality — combined with a technological environment that turns routine activities into acts of authorship. Equilibrating the economy for human expression in the AI age requires a solution that focuses not only on exceptions to existing copyrights, but also on the aforementioned doctrinal features that determine the ownership and scope of copyright entitlements at their inception. \u0000 \u0000The chapter taxonomizes different applications of machine learning according to the qualities of their training data. Four categories emerge: (1) public-domain training data, (2) licensed training data, (3) market-encroaching uses of copyrighted training data, and (4) non-market-encroaching uses of copyrighted training data. Copyright can only regulate market-encroaching uses of data, but these uses represent a narrow subset of AI applications and exclude many of the most socially harmful uses of copyrighted materials. Moreover, paradoxically, copyright’s property-style remedies are ill-suited to addressing market-encroaching uses, and are in fact much more appropriate remedies for the categories of worrisome AI that fall outside copyright’s normative mandate. \u0000 \u0000Finally, this chapter discusses a variety of remedies to the “AI problems” it identifies, with an emphasis on facilitating market-encroaching uses while affording human creators due compensation. It concludes that the exception for Text and Data Mining in the European Union’s Directive on Copyright in the Digital Single Market represents a positive development precisely because the exception addresses some structural causes of the training data problem that this chapter identifies. The TDM provision styles itself as an exception, but it may in fact be better understood as a formality: it requires rights holders to take positive action to exercise a right to exclude their materials from training datasets. Thus, the TDM exception addresses a root cause of the AI dilemma rather than trying to patch up the copyright regime post hoc. The chapter concludes that the next step for an equitable AI framework will be to transition towards rules that not only clarify that non-market-encroaching uses do not infringe copyright, but also facilitate remunerated uses of copyrighted works for market-encroaching purposes.","PeriodicalId":89488,"journal":{"name":"The electronic journal of human sexuality","volume":"44 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80950208","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Quantum Spin Coupled Entanglement and Space of Gravitational Degrees of Freedom","authors":"Suresh Kumar .S","doi":"10.2139/ssrn.3673767","DOIUrl":"https://doi.org/10.2139/ssrn.3673767","url":null,"abstract":"It is argued, based on indications from recent studies,as reported, that the degree of entanglement in vortex fields represented by spin orbit coupling is related to gravitational degree of freedom on vector vortex fields traversing spatial distances. Therefore the spin coupled quantum entanglement entropy can be understood as a gravity measurement in local inertial frames. The space of gravitational degrees of freedom has connections to quantum entanglement of spin coupled vortex flows. This relates quantum spin coupled entanglement with space time geometry. A gravity metric can have correspondence with quantum spin coupled entanglement.<br>","PeriodicalId":89488,"journal":{"name":"The electronic journal of human sexuality","volume":"843 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72433504","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A framework for utilizing stock trend prediction outputs in stock selection and portfolio optimization","authors":"V. Ramamohan, Nishank Goyal, Praket Parth, Sumit Mahlawat, Utkarsh Prabhakar","doi":"10.2139/ssrn.3673874","DOIUrl":"https://doi.org/10.2139/ssrn.3673874","url":null,"abstract":"In this paper, we develop a framework for using stock trend prediction outputs, which we generate using long short-term memory (LSTM) deep neural networks, in both stock selection and portfolio optimization. We use LSTM networks to predict the direction of stock movement and a numerical measure of the strength of the stock trend prediction, and use these in stock selection and within the Markowitz mean-variance portfolio optimization framework. Four types of LSTM models are constructed using the Indian SENSEX stock data - individual and ensemble models, each trained using both batch and incremental learning methods. We utilize the accuracy of classification of stock movement direction in shortlisting stocks for the portfolio optimization stage. Diversified and short-selling enabled Markowitz formulations in addition to the standard Markowitz formulation are constructed in the portfolio optimization stage. We also explore the use of a function of the LSTM classification accuracies as a risk measure both in lieu of and in addition to the covariance matrix within the Markowitz framework. Results from each of the above combinations of LSTM construction and portfolio optimization formulation type are benchmarked against the SENSEX and the standard optimal Markowitz portfolios without stock selection. We also analytically derive the conditions under which Markowitz formulations with stock price predictors more accurate than the mean stock price outperform the standard Markowitz formulations. Our work presents a framework that investment analysts can use to incorporate stock trend prediction outputs generated by machine learning techniques in informing their stock selection and optimal portfolio allocation decisions.","PeriodicalId":89488,"journal":{"name":"The electronic journal of human sexuality","volume":"9 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79275643","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Transistor, an Emerging Invention: Bell Labs as a Systems Integrator Rather Than a ‘House of Magic’","authors":"Florian Metzler","doi":"10.2139/ssrn.3678081","DOIUrl":"https://doi.org/10.2139/ssrn.3678081","url":null,"abstract":"The transistor is one of the most consequential human inventions with dissemination of the eventual MOS-FET design estimated to exceed one quintillion devices. However, the transistor’s genesis remains poorly understood. Many received accounts associate transistor invention closely with a small group of Bell Labs scientists during the 1947-1948 period. This paper argues that such a view is too narrow. Rather, the transistor – as a solid-state amplifier – emerged over a period of several decades starting with early observations of anomalous amplification in semiconductor crystals and early device designs during the 1910s and 1920s. Other types of relevant knowledge evolved in the form of advances in solid-state physics and materials processing techniques during the 1930s and early 1940s. Bell Labs identified, absorbed, evaluated, and integrated such diverse but interrelated knowledge streams – making Bell Labs appear much more like a systems integrator than the prototypical closed innovation organization it is often portrayed as. The Bell Labs transistor effort was both mission- and device-oriented with the specific goal of turning existing but imperfect solid-state amplifier designs into reliable substitutes for vacuum tubes – as such the research program is better described as applied industrial research rather than basic research. Through its systems integration activities, Bell Labs catalyzed a qualitative shift in the hitherto fragmented semiconductor field, enabling greater resource allocation and intensified research activity, as reflected in a hike in publication growth rates and the later introduction of marketed products. Thus expanded research activity eventually led to the 1959 MOS-FET design as the transistor’s dominant design used in large-scale dissemination such as in modern computer chips. Consequently, I propose to view the transistor as an emerging invention – in contrast to a discrete or singular one – with an emergence period spanning several decades. I propose to distinguish between an exploration phase (~1920-1945), a consolidation phase (1945-1950), and a maturation phase (1950-) whereas the intermediate consolidation phase represents a topological transition as is characteristic of emerging fields. Another emphasis of this article lies on the role of informal knowledge in the invention process. In the transistor case, such informal knowledge included patent specifications with proposed device designs, amateur radio magazine articles with reported anomalies, and oral anecdotes in practitioner circles describing experimental configurations of interest. This research asserts that such kinds of informal knowledge played an important role early on in the invention process as they guided both early research campaigns and managerial decisions, including at Bell Labs.","PeriodicalId":89488,"journal":{"name":"The electronic journal of human sexuality","volume":"36 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84822729","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Performance Analysis of Routing Protocols With Roadside Unit Infrastructure in a Vehicular Ad Hoc Network","authors":"Safae Smiri","doi":"10.5121/ijcnc.2020.12402","DOIUrl":"https://doi.org/10.5121/ijcnc.2020.12402","url":null,"abstract":"Vehicular ad-hoc networks (VANETs) represent a powerful and active field of research and have given rise to many challenges related to routing protocols and communication problems with other vehicles or fixed infrastructure called roadside units (RSU). The dynamic topology and the obstacles encountered in VANET environments mean that the routing of data and the communication between vehicles is confronted with many problems, and particularly in vehicular applications that require reliable communication and satisfactory quality of service (QoS). This paper promotes the intention of infrastructure in an urban scenario and studies the performance of routing protocols considering the constraint of mobility. This leads us to analyze a wide range of routing protocols to ensure optimal coverage and continuous connectivity, taking into consideration two types of data traffic in realistic environments that depend on certain performance metrics. The paper also investigates which protocols provide better performance with RSUs by ranking the results for QoS.","PeriodicalId":89488,"journal":{"name":"The electronic journal of human sexuality","volume":"49 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74844518","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Non-Vibrational Fault Analysis of Turbojet Engine Bearings by using Deep Neural Networks","authors":"Juvith Ghosh, Medha Mani","doi":"10.21276/ijircst.2020.8.4.10","DOIUrl":"https://doi.org/10.21276/ijircst.2020.8.4.10","url":null,"abstract":"This paper depicts the implementation of deep neural networks in predicting common faults of the turbojet engine bearings by training the model with images and processing them by designing proper Deep Neural Network model apart from conventional vibration analysis methods, for faster detection of bearing health and reusability. The turbojet engines have higher main-shaft speeds operating at elevated temperature conditions, reducing the bearing estimated life and thus the need of schedule maintenance. This system can identify some of the bearing damages like cracks, dents, fatigue, fretting and smearing conditions prevailing due to thermal effects, high axial and radial loads over the main-shaft, propeller shank and auxiliary systems bearings. It finally assists the aircraft maintenance engineers and technicians to reach to the conclusions of bearing conditions by taking pictures of bearings from any device and fetching them to the system for better results of bearing conditions.","PeriodicalId":89488,"journal":{"name":"The electronic journal of human sexuality","volume":"21 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89453216","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"How Context and Attention Shape Behaviors in Online Communities: A Modified Garbage Can Model","authors":"N. Foss, L. Jeppesen, F. Rullani","doi":"10.2139/ssrn.3636208","DOIUrl":"https://doi.org/10.2139/ssrn.3636208","url":null,"abstract":"Online communities have emerged as important organizational forms, but there are many gaps in our understanding. In particular, researchers have mainly focused on individual-level drivers of behaviors in communities, while downplaying (formal, informal) context at various levels. We theorize that different dimensions of context (i.e. omnibus and discrete context) influence decision-making in online communities through mechanisms involving community members’ attention. Specifically, context influences which problems members perceive and which solutions they retrieve and apply, thereby shaping the process of matching solutions and problems. We derive four hypotheses about contribution behaviors in online communities and how such behaviors are influenced by context. The empirical setting for our study is the open-source software community. We find support for our hypotheses in a unique dataset that captures the behavior of 24,057 community members who used the SourceForge.net online platform from 2000 to 2002.","PeriodicalId":89488,"journal":{"name":"The electronic journal of human sexuality","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86940740","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}