International Journal of Software Engineering and Computer Systems最新文献

{"title":"Potential Problems and Uses for Artificial Intelligence in Clinical Medicine","authors":"E. Hanada","doi":"10.15344/2456-4451/2020/154","DOIUrl":"https://doi.org/10.15344/2456-4451/2020/154","url":null,"abstract":"Artificial intelligence (AI) is being widely used, with trial systems already in use in the medical field, where there are high expectations for its potential for use in the future. Studies have shown that AI diagnosis is almost as accurate as that of human experts. However, problems with the use of AI in clinical medicine must be identified and carefully examined to insure that it can be used safely. Herein, I illustrate various concerns related to the use of AI and show how it can be put to practical use in clinical medicine. The concerns about the use of AI include the following: differences in expectations for AI, failure to correctly diagnose disease because of a lack of data available for learning, and over dependence by physicians using it to make a diagnosis. AI can also be useful to hospital staff other than physicians. We should not leave the business of medicine and healthcare to AI systems, but use it to assist with decision-making and to raise labor efficiency and effectiveness. *Corresponding Author: Prof. Eisuke Hanada, Department of Information Science, Faculty of Science and Engineering, Saga University, Saga, Japan; E-mail: hanada@cc.saga-u.ac.jp Citation: Hanada E (2020) Potential Problems and Uses for Artificial Intelligence in Clinical Medicine. Int J Comput Softw Eng 5: 154. doi: https://doi. org/10.15344/2456-4451/2020/154 Copyright: © 2020 Hanada. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. From a developers’ viewpoint, AI is limited because it can search only in its learned data. This means that AI cannot associate knowledge from domains that it has not learned or does not have access to. Performance of AI in Clinical Diagnosis Although there are differences by country, a physician's license is granted on the premise of having studied the fundamentals of medicine across all domains. However, almost all physicians have a specialty as their main focus, and physicians who work in large hospitals tend to be highly (and narrowly) specialized. Often when building an AI system for use in clinical medicine, one or several of these highly specialized physicians take the initiative. In such cases, AI will tend to learn only knowledge based on the specialty of the physician(s) involved. This means that such specialized AI will overlook the existence of illnesses that have not had the chance to learn or that are out of the scope of the AI system. AI on which two or more clinical departments have co-operated is seldom seen. Some symptoms are associated with a broad range of diseases and may differ by patient, even patients with the same disease. An example of a problematic case is a patient who has had their primary disease diagnosed but who newly contracts another disease, the symptoms of which may differ from those of other patients with the sa","PeriodicalId":31240,"journal":{"name":"International Journal of Software Engineering and Computer Systems","volume":"67 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79624587","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":"Designing Framework of Cloud Health Record (CHR) System for Patient Health Information Storage: A New Prophecy","authors":"P. Kuppuswamy, S. Sundaram, Rajan John","doi":"10.15344/2456-4451/2020/153","DOIUrl":"https://doi.org/10.15344/2456-4451/2020/153","url":null,"abstract":"Patient health record system offers significant health care benefits to improve the quality of health amenities, it has been reducing alarm rate of failures in medicinal treatment. Medical records contain large volumes of aggregated and longitudinal clinical data that could insist patient safety. In order to minimize the cost, replication of records and infrastructure, the emerging technologies like server virtualization and cloud computing is unavoidable at present medical environment. Cloud technology facilitates data storage, that keeps for all time availability of every individual patient information. Storing and maintaining the patient information is very essential for the future reference by any other hospitals and medical experts. Cloud computing makes convenient to the other stake holders of healthcare environment such as pharmacist, nurses, lab technicians, physician and other specialists. Existing patient’s health records (PHR) maintained by manually and electronically (EHR) and stored in localized server controlled by hospital authority. In this article, we outlined new prophecy of Cloud based storing system called Cloud Health Record (CHR), we suggest that the new system will help to store huge volume of patient information and it will facilitate sharing the patient records on the cloud based system for getting further and better opinion from the physician, who lives anywhere. *Corresponding Author: Dr. Prakash Kuppuswamy, Department of CNET, College of Computer Science & Information Systems, Jazan University, KSA; E-mail: prakashcnet@gmail.com Citation: Kuppuswamy P, Sundaram S, John R (2020) Designing Framework of Cloud Health Record (CHR) System for Patient Health Information Storage: A New Prophecy. Int J Comput Softw Eng 5: 153. doi: https://doi.org/10.15344/24564451/2020/153 Copyright: © 2020 Kuppuswamy et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. in medical application can be development of patient records and information storing on the cloud. Cloud-based environment system can offer provides several advantages such as scalability, availability and mobility [4,7-10], and there are some barriers that must also be managed [4,15,16]. Establishing Cloud-based EHR management system, the main advantage is the ability to share patient records with other clinical centers, and the integration of all the EHRs of a group of clinical centers in order to help medical staff perform their jobs [4,1719]. The reason for offering cloud computing technology in Patient health records, it provides basic infrastructure to hosting remotely the large volume of patient information and it can be accessed by anyone directly over the internet. The main objective of Health Records to support the maintenance of integrated, efficient and quality health [23,24]. To","PeriodicalId":31240,"journal":{"name":"International Journal of Software Engineering and Computer Systems","volume":"10 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75298449","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":"Survey: Trust Management in VANET","authors":"Nourelimane Bousmaha, M. Maachaoui, Rachid Chelouah","doi":"10.15344/2456-4451/2020/152","DOIUrl":"https://doi.org/10.15344/2456-4451/2020/152","url":null,"abstract":"The Vehicular ad-hoc networks (VANET) are a subclass of MANET with vehicles as mobile nodes. The vehicles exchange data via vehicle-to-vehicle (V2V) or vehicle-to-infrastructure (V2I) communication. The securities of data communications focus on deciding data trust. The concept of trust estimates the reliability of communications data. In particular, we have mainly focused on problems of mistrust or data trust in the VANET network. In this paper, we will study some models of trust and compare them, which will help to reduce the impact of trust problem and try to improve it. *Corresponding Author: Dr. Rachid Chelouah, University of ParisSeine, ETIS laboratory, CNRS UMR8051, France; E-mail: rc@eisti.eu Citation: Bousmaha N, Maachaoui M, Chelouah R (2020) Survey: Trust Management in VANET. Int J Comput Softw Eng 5: 152. doi: https://doi. org/10.15344/2456-4451/2020/152 Copyright: © 2020 Bousmaha et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Entity-oriented trust model In this approach, we describe the models that are based on the reliability of the entity (vehicle), which is based on obtaining information about the sender and neighbor receivers. However, the change of vehicle position allows frequent interruptions, which makes difficult to have sufficient information about the neighbors. The authors of [8] propose a VANET Dynamic Demilitarized Zone (VDDZ) trust model that uses a public key infrastructure and distributed cluster algorithm. As shown in Figure 5. The objectives of the trust model VDDZ is to exclude the entry of malicious or obscure vehicles in cluster, it prohibits using directly the communication of a cluster head (CH) with other member vehicles. This technique represents a set of registration authority (RA) vehicles located 1-hop away from the certification authority. This cluster algorithm uses two parameters: 1. The trust metric (Tm): allows calculating confidence it for each vehicle. 2. The mobility metrics: preserves security and stability of cluster head. The Head cluster determines the trust level of vehicles in the cluster by a trust metric. The (Tm) is a continuous value between 0 and 1. Of course, new vehicles start with Tm = 0.1 and all vehicles with Tm <1 must behave well to increase their trust metric. Trusted vehicles are those with Tm = 1 [9], and this algorithm uses two types of messages: 1. The HELLO message, consisting of speed, identity, position, current status, Tm table and current neighbors. 2. BEACON ELECTION, consisting of an IP address, number of hops, relative mobility (RM) and number of trusted neighbors (NTN). Figure 1 describes a VDDZ. International Journal of Computer & Software Engineering Nourelimane Bousmaha1, Mohamed Maachaoui2 and Rachid Chelouah1,* University of ParisSeine, ETIS laboratory, CNRS UMR8051, F","PeriodicalId":31240,"journal":{"name":"International Journal of Software Engineering and Computer Systems","volume":"40 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88343901","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":"IDENTIFICATION OF SENTENCE CONTEXT BASEDON THEMATIC ROLE RULES FOR MALAY SHORT ESSAY ASSESSMENT","authors":"M. Hamza, M. J. Ab Aziz, N. Omar","doi":"10.15282/ijsecs.5.2.2019.5.0061","DOIUrl":"https://doi.org/10.15282/ijsecs.5.2.2019.5.0061","url":null,"abstract":"Integrated short essay assessment can benefit related parties in education domain. It can be performed using linguistic approach to recognize sentence structure (word order). Subjectpredicate rule does not consider sentence usage context in a sentence. Whereas, by using thematic role rule, each significant argument in a sentence is discovered to provide information on relation between word and the role it played in determining the meaning of a sentence. Tokens that have been labelled were matched with thematic role consisting of Agent, Patient, Theme, Source, Beneficiary, Experiencer, Location, Time and Quantity. This study is conducted on Compiler course in Malay which comprise of various type of sentences. 5-fold cross validation test shows that error rate produces by Thematic Role rule and Subject-Predicate rule are 13.51% and 34.05%, respectively, a difference of 20.54%. This result shows that by understanding sentence context, it will produce better and promising essay assessment.","PeriodicalId":31240,"journal":{"name":"International Journal of Software Engineering and Computer Systems","volume":"4 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80563660","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":"COMPARISON OF TRADITIONAL AND AGILE SOFTWARE DEVELOPMENT METHODOLOGY: A SHORT SURVEY","authors":"Sarang Shaikh, S. Abro","doi":"10.15282/ijsecs.5.2.2019.1.0057","DOIUrl":"https://doi.org/10.15282/ijsecs.5.2.2019.1.0057","url":null,"abstract":"This paper explains comparison between traditional and agile software development methodologies. Due to the significant use of software development processes, in product development this discussion is quite important. For discussion, their definitions, development life cycles, critical practices, advantages, disadvantages used as evaluative parameters including six different modes, three from each. This research also summarizes limitations and factors used to control the cost of both methodologies. The discussion continued with the conclusion that what are the core steps while selecting desired software development methodology either traditional or agile and what will be the impact of the end product.","PeriodicalId":31240,"journal":{"name":"International Journal of Software Engineering and Computer Systems","volume":"15 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85017343","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":"MPROVED SAUVOLA THRESHOLD FOR BACKGROUND SUBTRACTION ON MOVING OBJECT DETECTION","authors":"Elindra Ambar Pambudi, Ermadi Satriya Wijaya, A. Fauzan","doi":"10.15282/ijsecs.5.2.2019.6.0062","DOIUrl":"https://doi.org/10.15282/ijsecs.5.2.2019.6.0062","url":null,"abstract":"","PeriodicalId":31240,"journal":{"name":"International Journal of Software Engineering and Computer Systems","volume":"43 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88041123","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":"PLANT DISEASES CLASSIFICATION USING FEATURE REDUCTION, BPNN AND PSO","authors":"Moumita Chanda, M. Biswas","doi":"10.15282/ijsecs.5.2.2019.7.0063","DOIUrl":"https://doi.org/10.15282/ijsecs.5.2.2019.7.0063","url":null,"abstract":"Agriculture is the culture of land and rearing of the plants to supply food to nourish and enhance life. In India, it is one of the main economic sources and different types of plants are farmed every year which hinders normal growth of the plants. That’s the reason from long ago researchers are searching for new methods of classification of plant diseases. Although there are different neural networks already used for plant disease classification, but only using these methods do not make the best tradeoff between time and accuracy. So to remove this constraint, we proposed method for plant disease classification based on BPNN and PSO. Now we have added some more data to our dataset and applied Principal component analysis to reduce the number of total features and on these features we have applied BPNN with PSO. We have used images of leaves affected by different bacterial and fungal diseases: Alternaria alternata, Anthracnose, Bacterial blight, Bacterial leaf scorch, Cercospora leaf spot, and Downy mildew in our experiment and our proposed method achieves approximately 96.42% accuracy.","PeriodicalId":31240,"journal":{"name":"International Journal of Software Engineering and Computer Systems","volume":"13 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79623655","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":"SENTENCE SIMILARITY MEASUREMENT BASED ONTHEMATIC ROLE AND SEMANTIC NETWORKTECHNIQUES","authors":"M. Hamza, M. J. Aziz, N. Omar","doi":"10.15282/ijsecs.5.2.2019.4.0060","DOIUrl":"https://doi.org/10.15282/ijsecs.5.2.2019.4.0060","url":null,"abstract":"Automated Short Essay Assessment is a subjective assessment that emphasizes important contents more than writing style. Word Order Technique and Syntactic-Semantic Knowledge Technique have been used in previous researches. However, it cannot differentiate sentence pair that is not similar semantically and only proven to produce excellent result on short sentence. Thematic Role annotation for every significant argument seems able to provide information regarding the relations between the word. Wordnet Semantics Network calculates semantic similarities of two synsets (token) by taking into account the depth of semantic relations. This study is conducted on Compiler course set in Malay that comprise of passive, simple, negative, mixed and complex questions. To prove the effectiveness of the techniques, the test result that apply Grammar Pola Technique was used as a benchmark because the study uses the same data set. The average of f-measure test accuracy rate is 93.53% when using Thematic Role and Semantic Network Techniques compared to 82.36% accuracy rate when using Pola Grammar Technique. The result of Thematic Role can be used on research involving Malay linguistic to test sentence structure matching that has verb by considering types of sentence.","PeriodicalId":31240,"journal":{"name":"International Journal of Software Engineering and Computer Systems","volume":"40 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89996551","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":"EMS: AN ENHANCEDMERGE SORT ALGORITHMBY EARLY CHECKING OF ALREADY SORTED PARTS","authors":"Mutaz Rasmi Abu Sara, M. F. J. Klaib, M. Hasan","doi":"10.15282/ijsecs.5.2.2019.2.0058","DOIUrl":"https://doi.org/10.15282/ijsecs.5.2.2019.2.0058","url":null,"abstract":"Merge sort is one of the asymptotically optimal sorting algorithms that is used in many places including programming language library functions and operating systems. In this paper, we give a modified version of merge sort, which in practice shows substantial improvement in running time than the top-down and bottom-up implementations of the classical merge sort. Our algorithm works as a bottom-up manner and the modifications happen in three places: (a) given n elements in an array, first the algorithm considers the array as n / 2 consecutive pairs and sorts each pair in-place by one comparison; (b) in subsequent steps, during the ”merge” process of two subarrays, if the last element in the left subarray is smaller than the first element in the right subarray, the algorithm simply returns; and (c) if the last element in the right subarray is smaller than the first element in the left subarray, then the algorithm swaps the elements in the two subarrays by their entirety. Steps (b) and (c) happen in-place. For the case not in (b) or (c), the algorithm follows the classical merge technique with an extra array. Our experimental results also show that case (b) and (c) happen a good amount of time in practice and that is the reason that our algorithm gives better running time than the classical merge sort.","PeriodicalId":31240,"journal":{"name":"International Journal of Software Engineering and Computer Systems","volume":"69 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90908304","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":"DETECTION ESCHERICHA COLI BACTERIA: A REVIEW OF IMAGE PROCESSING METHODS","authors":"Siti Farah Hussin, Johor Politeknik Mersing, Z. Saari","doi":"10.15282/ijsecs.5.2.2019.3.0059","DOIUrl":"https://doi.org/10.15282/ijsecs.5.2.2019.3.0059","url":null,"abstract":"There have been numerous chemical studies to detect Eschericha Coli Bacteria or better known as E.coli bacteria. However, studies using image processing to detect E.coli bacteria have been restricted. There is an urgent need to incorporate image processing into systematic reviews for the identification of E.coli in water or food samples. The E.coli detection process takes between 24 hours to 48 hours as the bacteria needs to go through the growth phase as a result of a mixture of water samples and chemical reagents and then placed in an incubator at certain temperatures and humidity.  This article review several approaches for E.coli bacteria detection from standard technique, portable hybrid imaging system, hybrid smartphone and microfluidic biosensor, smartphone and paper microfluidics and goes to fibre optics. The colour change after several hours is an indicator for detecting the presence of E.coli bacteria in the water sample. Although standard techniques such as Gold Nanoparticles, Solid phase Cytometry, Viable Plate Count and Polymerase Chain Reaction (PCR) for detection the presence of E.coli, the use of this technique involving the transfer of water samples to the laboratory, trained staff, longer sample monitoring process, expensive costs and complex procedures. E.coli detection techniques are also going through a revolutionary phase as technology advances by using a hybrid technique that combines standard technique and image processing. E.coli growth monitoring and detection process is now easier as it can be viewed using a portable device, smartphone or via a website in real-time.","PeriodicalId":31240,"journal":{"name":"International Journal of Software Engineering and Computer Systems","volume":"90 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76057987","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}